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Anesidis S, Akrida I, Michalaki M, Apostololpoulos D, Papathanasiou N, Benetatos N, Kalogeropoulou C, Panagopoulos K, Maroulis I. Intraoperative radio-guided localization of parathyroid adenomas using 3D freehand SPECT technology. Updates Surg 2024:10.1007/s13304-024-01819-1. [PMID: 38517662 DOI: 10.1007/s13304-024-01819-1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/25/2023] [Accepted: 03/04/2024] [Indexed: 03/24/2024]
Abstract
Parathyroidectomy for primary hyperparathyroidism (PHPT) could have poor outcomes, even with accurate preoperative localization of the adenomas, because their intraoperative localization can be challenging. Freehand single photon emission computed tomography (fhSPECT) is a new technique for radio-guided intraoperative navigation. Its use during parathyroidectomy could be useful and such data are limited. We herein present our experience on the feasibility of fhSPECT for intraoperative detection of abnormal parathyroid glands. We retrospectively reviewed the clinical data of 55 patients (30-77 years old) with PHPT due to parathyroid adenomas, that were subjected to parathyroidectomy from 12/2017 to 7/2022. In average, 111 ± 74 MBq of Tc-99 m Sestamibi were injected intravenously, approximately 2 h before the operation and fhSPECT was used to generate 3D images during parathyroidectomy. Measurements of PTH and calcium levels were performed preoperatively, postoperatively and 4-6 months after the procedure. FhSPECT successfully identified the parathyroid adenoma in all the patients. It took 3 min (median time) for fhSPECT to detect at least one radioactive spot in all patients. The mean duration of the operation was 66.6 ± 7.3 min. Forty-nine patients out of 55 had solitary and 6/55 had multiple adenomas, whereas 6/55 had ectopic abnormal parathyroid glands. None of the patients had persistent hyperparathyroidism during follow-up. To the best of our knowledge, this is the largest series of patients with PHPT that underwent fhSPECT assisted parathyroidectomy. Our data suggest that this navigation system is helpful in identifying parathyroid adenomas intraoperatively.
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Affiliation(s)
- Stathis Anesidis
- Department of Surgery, University General Hospital of Patras, Rion, 26504, Patras, Greece
| | - Ioanna Akrida
- Department of Surgery, University General Hospital of Patras, Rion, 26504, Patras, Greece.
| | - Marina Michalaki
- Division of Endocrinology, Department of Internal Medicine, University General Hospital of Patras, Patras, Greece
| | | | | | - Nikolaos Benetatos
- Department of Surgery, University General Hospital of Patras, Rion, 26504, Patras, Greece
| | | | | | - Ioannis Maroulis
- Department of Surgery, University General Hospital of Patras, Rion, 26504, Patras, Greece
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Paraskevas T, Dimopoulos PM, Kantanis A, Garatzioti AS, Karalis I, Michailides C, Chourpiliadi C, Matthaiakaki E, Kalogeropoulou C, Velissaris D. Evaluation of Reliability and Validity of the RALE and BRIXIA Chest-X Ray Scores in Patients Hospitalized with COVID-19 Pneumonia. Rom J Intern Med 2023; 61:141-146. [PMID: 37249556 DOI: 10.2478/rjim-2023-0013] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 04/01/2023] [Indexed: 05/31/2023]
Abstract
INTRODUCTION Chest X-rays are commonly used to assess the severity in patients that present in the emergency department with suspected COVID-19 pneumonia, but in clinical practice quantitative scales are rarely employed. AIMS To evaluate the reliability and validity of two semi-quantitative radiological scales in patients hospitalized for COVID-19 pneumonia (BRIXIA score and RALE score). METHODS Patients hospitalized between October 2021 and March 2022 with confirmed COVID-19 pneumonia diagnosis were eligible for inclusion. All included patients had a chest X-ray taken in the ED before admission. Three raters that participated in the treatment and management of patients with COVID-19 during the pandemic independently assessed chest X-rays. RESULTS Intraclass coefficients for BRIXΙA and RALES was 0.781 (0.729-0.826) and 0.825 (0.781-0.862) respectively, showing good to excellent reliability overall. Pairwise analysis was performed using quadratic weighted kappa showing significant variability in the inter-rater agreement. The prognostic accuracy of the two scores for in-hospital mortality for all raters was between 0.753 and 0.763 for BRIXIA and 0.737 and 0.790 for RALES, demonstrating good to excellent prognostic value. Both radiological scores were significantly associated with inhospital mortality after adjustment for 4C Mortality score. We found a consistent upwards trend with significant differences between severity groups in both radiological scores. CONCLUSION Our findings suggest that BRIXIA and RALES are reliable and can be used to assess the prognosis of patients with COVID-19 requiring hospitalization. However, the inherent subjectivity of radiological scores might make it difficult to set a cut-off value suitable for all assessors.
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Affiliation(s)
| | - Platon M Dimopoulos
- 2Department of Radiology, General University Hospital of Patras, Patras, Greece
| | - Anastasios Kantanis
- 3Department of General Practice and Family Medicine, General University Hospital of Patras, Patras, Greece
| | | | - Iosif Karalis
- 1Department of Internal Medicine, General University Hospital of Patras, Patras, Greece
| | - Christos Michailides
- 1Department of Internal Medicine, General University Hospital of Patras, Patras, Greece
| | | | - Evgenia Matthaiakaki
- 1Department of Internal Medicine, General University Hospital of Patras, Patras, Greece
| | | | - Dimitrios Velissaris
- 1Department of Internal Medicine, General University Hospital of Patras, Patras, Greece
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Schinas G, Dimakopoulou V, Dionysopoulos K, Fezoulidi G, Vlychou M, Vassiou K, Gatselis NK, Samakidou A, Giannoulis G, Tzouvelekis A, Marangos M, Gogos C, Dalekos GN, Kalogeropoulou C, Akinosoglou K. Radiologic Features of T10 Paravertebral Muscle Sarcopenia: Prognostic Factors in COVID-19. J Clin Med Res 2023; 15:368-376. [PMID: 37575354 PMCID: PMC10416190 DOI: 10.14740/jocmr4963] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/28/2023] [Accepted: 07/12/2023] [Indexed: 08/15/2023] Open
Abstract
Background Sarcopenia, defined as a small cross-sectional area (CSA) in computed tomography (CT) measurements of skeletal muscles, serves as a disease severity marker in various clinical scenarios, including pulmonary conditions and critical illness. Another parameter of sarcopenia, the level of myosteatosis, reflected by the tissue's radiodensity, in the thoracic skeletal muscles group, has been linked to disease progression in coronavirus disease 2019 (COVID-19) patients. We hypothesize that CT-derived measurements of the skeletal muscle density (SMD) and the CSA of thoracic skeletal muscles can predict outcomes in COVID-19 pneumonia. Methods We retrospectively reviewed the CT scans of 84 patients with COVID-19 pneumonia admitted to two of Greece's largest academic teaching hospitals between April 2020 and February 2021. CSA and SMD at the level of the T10 vertebra were measured using computational imaging methods. The patient population was stratified according to survival status and CT severity score (CT-SS). Correlations were drawn between the radiologic features of sarcopenia, CT severity subgroups, serum inflammatory markers, and adverse events, e.g., death and intubation. Results Thoracic muscles' CSA measurements correlate with CT-SS and prominent inflammatory markers, such as white blood cell (WBC), C-reactive protein (CRP), fibrinogen, and D-dimers. Moreover, according to linear regression analysis, CSA seems to predict CT-SS variation significantly (β = -0.266, P = 0.018). CSA proved to differ significantly across survivors (P = 0.027) but not between CT severity categories and intubation subgroups. The AUC (area under the curve) of the receiver operating characteristic (ROC) curve for the predictive value of thoracic muscles' CSA in mortality is 0.774 (95% confidence interval (CI): 0.66 - 0.83, P < 0.000). The optimal cut-off value (Youden index = 0.57) for mortality prognosis, with a sensitivity of 66.7% and a specificity of 88.9%, is 15.55. Thoracic muscles' SMD analyses did not reveal any significant correlations. Conclusions Easy to obtain and accurately calculated, radiologic features can provide a reliable alternative to laboratory methods for predicting survival in COVID-19. Thoracic muscles' CSA measurement in the level of the T10 vertebra, an acclaimed prognostic imaging assessment that relates directly to CT-SS and inflammatory markers in COVID-19 pneumonia, is a fairly specific tool for survival prognosis.
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Affiliation(s)
- Georgios Schinas
- School of Medicine, University of Patras, Patras, Greece
- These authors contributed equally to this article
| | - Vasiliki Dimakopoulou
- Department of Internal Medicine, University Hospital of Patras, Patras, Greece
- These authors contributed equally to this article
| | | | | | - Marianna Vlychou
- Department of Radiology, General University Hospital of Larissa, Larissa, Greece
| | - Katerina Vassiou
- Department of Anatomy, Medical School, University of Thessaly, Larisa, Greece
| | - Nikolaos K. Gatselis
- Department of Medicine and Research Laboratory of Internal Medicine, Expertise Center of Greece in Autoimmune Liver Diseases, European Reference Network on Hepatological Diseases (ERN RARE-LIVER), General University Hospital of Larissa, Larissa, Greece
| | - Anna Samakidou
- Department of Medicine and Research Laboratory of Internal Medicine, Expertise Center of Greece in Autoimmune Liver Diseases, European Reference Network on Hepatological Diseases (ERN RARE-LIVER), General University Hospital of Larissa, Larissa, Greece
| | - Georgios Giannoulis
- Department of Medicine and Research Laboratory of Internal Medicine, Expertise Center of Greece in Autoimmune Liver Diseases, European Reference Network on Hepatological Diseases (ERN RARE-LIVER), General University Hospital of Larissa, Larissa, Greece
| | - Argyrios Tzouvelekis
- Division of Respiratory Medicine, Department of Internal Medicine, University Hospital of Patras, Patras, Greece
| | - Markos Marangos
- Division of Infectious Diseases, Department of Internal Medicine, University Hospital of Patras, Patras, Greece
| | - Charalambos Gogos
- Division of Infectious Diseases, Department of Internal Medicine, University Hospital of Patras, Patras, Greece
| | - George N. Dalekos
- Department of Medicine and Research Laboratory of Internal Medicine, Expertise Center of Greece in Autoimmune Liver Diseases, European Reference Network on Hepatological Diseases (ERN RARE-LIVER), General University Hospital of Larissa, Larissa, Greece
| | | | - Karolina Akinosoglou
- Division of Infectious Diseases, Department of Internal Medicine, University Hospital of Patras, Patras, Greece
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Tsaturyan A, Adamou C, Pantazis L, Kalogeropoulou C, Tzelepi V, Apostolopoulos D, Pagonis K, Peteinaris A, Natsos A, Vrettos T, Al-Aown A, Liatsikos E, Kallidonis P. The effect of percutaneous tract dilation technique on renal parenchymal trauma: An experimental in vivo study on a porcine model. Urol Ann 2023; 15:191-196. [PMID: 37304519 PMCID: PMC10252767 DOI: 10.4103/ua.ua_25_22] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/04/2022] [Accepted: 09/28/2022] [Indexed: 06/13/2023] Open
Abstract
Purpose The purpose of this study was to evaluate renal parenchymal trauma of two-step dilation compared to the conventional Amplatz gradual dilation during percutaneous nephrolithotomy on a porcine model. Materials and Methods A nonpapillary percutaneous access tract was established under fluoroscopic guidance in both kidneys of four female pigs. On the right kidney of each pig, gradual dilation was performed using an Amplatz dilator set with a gradual dilation to 30 Fr, whereas on the left, a two-step dilation was utilized using only 16 Fr and 30 Fr dilators. Two of the animals were euthanized immediately after the procedure and the remaining two 1 month later. The pigs that were kept alive underwent a contrast-enhanced computed tomography immediately, 15, and 30 days postoperatively. A dimercaptosuccinic acid (DMSA) scintigraphy and single-photon emission computed tomography-computed tomography (CT) were also performed after the last CT and afterward, the pigs were sacrificed. All kidneys were harvested for pathohistological examination. Results The follow-up radiologic imaging showed similar parenchymal damage caused by the compared dilation techniques and an expected reduction in scar size in the later scans. No scar was identified by DMSA in any kidney. Gross and microscopic examinations conducted both on the kidneys that were harvested immediately after the procedure and the ones from the animals that were left to heal, revealed no significant differences in tissue damage, grade of fibrosis, or inflammation depending on the dilation method. Conclusions Our study showed no inferior outcomes caused by two-step dilation compared to gradual dilation regarding renal parenchymal damage following a nonpapillary puncture. In fact, postoperative imaging findings suggested a trend toward better healing and less scar tissue when the two-step method was used.
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Affiliation(s)
- Arman Tsaturyan
- Department of Urology and ICU University Hospital of Patras, Patras, Greece
| | | | - Lampros Pantazis
- Department of Urology and ICU University Hospital of Patras, Patras, Greece
| | | | - Vasiliki Tzelepi
- Department of Pathology and ICU University Hospital of Patras, Patras, Greece
| | | | | | - Angelis Peteinaris
- Department of Urology and ICU University Hospital of Patras, Patras, Greece
| | - Anastasios Natsos
- Department of Urology and ICU University Hospital of Patras, Patras, Greece
| | - Theofanis Vrettos
- Department of Anesthesiology and ICU University Hospital of Patras, Patras, Greece
| | - Abdulrahman Al-Aown
- Department of Urology, Armed Forces Hospital Southern Region, Khamis Mushait, Saudi Arabia
| | - Evangelos Liatsikos
- Department of Urology and ICU University Hospital of Patras, Patras, Greece
- Department of Urology, Medical University of Vienna, Vienna, Austria
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5
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Pati S, Baid U, Edwards B, Sheller M, Wang SH, Reina GA, Foley P, Gruzdev A, Karkada D, Davatzikos C, Sako C, Ghodasara S, Bilello M, Mohan S, Vollmuth P, Brugnara G, Preetha CJ, Sahm F, Maier-Hein K, Zenk M, Bendszus M, Wick W, Calabrese E, Rudie J, Villanueva-Meyer J, Cha S, Ingalhalikar M, Jadhav M, Pandey U, Saini J, Garrett J, Larson M, Jeraj R, Currie S, Frood R, Fatania K, Huang RY, Chang K, Balaña C, Capellades J, Puig J, Trenkler J, Pichler J, Necker G, Haunschmidt A, Meckel S, Shukla G, Liem S, Alexander GS, Lombardo J, Palmer JD, Flanders AE, Dicker AP, Sair HI, Jones CK, Venkataraman A, Jiang M, So TY, Chen C, Heng PA, Dou Q, Kozubek M, Lux F, Michálek J, Matula P, Keřkovský M, Kopřivová T, Dostál M, Vybíhal V, Vogelbaum MA, Mitchell JR, Farinhas J, Maldjian JA, Yogananda CGB, Pinho MC, Reddy D, Holcomb J, Wagner BC, Ellingson BM, Cloughesy TF, Raymond C, Oughourlian T, Hagiwara A, Wang C, To MS, Bhardwaj S, Chong C, Agzarian M, Falcão AX, Martins SB, Teixeira BCA, Sprenger F, Menotti D, Lucio DR, LaMontagne P, Marcus D, Wiestler B, Kofler F, Ezhov I, Metz M, Jain R, Lee M, Lui YW, McKinley R, Slotboom J, Radojewski P, Meier R, Wiest R, Murcia D, Fu E, Haas R, Thompson J, Ormond DR, Badve C, Sloan AE, Vadmal V, Waite K, Colen RR, Pei L, Ak M, Srinivasan A, Bapuraj JR, Rao A, Wang N, Yoshiaki O, Moritani T, Turk S, Lee J, Prabhudesai S, Morón F, Mandel J, Kamnitsas K, Glocker B, Dixon LVM, Williams M, Zampakis P, Panagiotopoulos V, Tsiganos P, Alexiou S, Haliassos I, Zacharaki EI, Moustakas K, Kalogeropoulou C, Kardamakis DM, Choi YS, Lee SK, Chang JH, Ahn SS, Luo B, Poisson L, Wen N, Tiwari P, Verma R, Bareja R, Yadav I, Chen J, Kumar N, Smits M, van der Voort SR, Alafandi A, Incekara F, Wijnenga MMJ, Kapsas G, Gahrmann R, Schouten JW, Dubbink HJ, Vincent AJPE, van den Bent MJ, French PJ, Klein S, Yuan Y, Sharma S, Tseng TC, Adabi S, Niclou SP, Keunen O, Hau AC, Vallières M, Fortin D, Lepage M, Landman B, Ramadass K, Xu K, Chotai S, Chambless LB, Mistry A, Thompson RC, Gusev Y, Bhuvaneshwar K, Sayah A, Bencheqroun C, Belouali A, Madhavan S, Booth TC, Chelliah A, Modat M, Shuaib H, Dragos C, Abayazeed A, Kolodziej K, Hill M, Abbassy A, Gamal S, Mekhaimar M, Qayati M, Reyes M, Park JE, Yun J, Kim HS, Mahajan A, Muzi M, Benson S, Beets-Tan RGH, Teuwen J, Herrera-Trujillo A, Trujillo M, Escobar W, Abello A, Bernal J, Gómez J, Choi J, Baek S, Kim Y, Ismael H, Allen B, Buatti JM, Kotrotsou A, Li H, Weiss T, Weller M, Bink A, Pouymayou B, Shaykh HF, Saltz J, Prasanna P, Shrestha S, Mani KM, Payne D, Kurc T, Pelaez E, Franco-Maldonado H, Loayza F, Quevedo S, Guevara P, Torche E, Mendoza C, Vera F, Ríos E, López E, Velastin SA, Ogbole G, Soneye M, Oyekunle D, Odafe-Oyibotha O, Osobu B, Shu'aibu M, Dorcas A, Dako F, Simpson AL, Hamghalam M, Peoples JJ, Hu R, Tran A, Cutler D, Moraes FY, Boss MA, Gimpel J, Veettil DK, Schmidt K, Bialecki B, Marella S, Price C, Cimino L, Apgar C, Shah P, Menze B, Barnholtz-Sloan JS, Martin J, Bakas S. Author Correction: Federated learning enables big data for rare cancer boundary detection. Nat Commun 2023; 14:436. [PMID: 36702828 PMCID: PMC9879935 DOI: 10.1038/s41467-023-36188-7] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/27/2023] Open
Affiliation(s)
- Sarthak Pati
- Center for Biomedical Image Computing and Analytics (CBICA), University of Pennsylvania, Philadelphia, PA, USA
- Department of Radiology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA
- Department of Pathology and Laboratory Medicine, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA
- Department of Informatics, Technical University of Munich, Munich, Bavaria, Germany
| | - Ujjwal Baid
- Center for Biomedical Image Computing and Analytics (CBICA), University of Pennsylvania, Philadelphia, PA, USA
- Department of Radiology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA
- Department of Pathology and Laboratory Medicine, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA
| | | | | | | | | | | | | | | | - Christos Davatzikos
- Center for Biomedical Image Computing and Analytics (CBICA), University of Pennsylvania, Philadelphia, PA, USA
- Department of Radiology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA
| | - Chiharu Sako
- Center for Biomedical Image Computing and Analytics (CBICA), University of Pennsylvania, Philadelphia, PA, USA
- Department of Radiology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA
| | - Satyam Ghodasara
- Department of Radiology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA
| | - Michel Bilello
- Center for Biomedical Image Computing and Analytics (CBICA), University of Pennsylvania, Philadelphia, PA, USA
- Department of Radiology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA
| | - Suyash Mohan
- Center for Biomedical Image Computing and Analytics (CBICA), University of Pennsylvania, Philadelphia, PA, USA
- Department of Radiology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA
| | - Philipp Vollmuth
- Department of Neuroradiology, Heidelberg University Hospital, Heidelberg, Germany
| | - Gianluca Brugnara
- Department of Neuroradiology, Heidelberg University Hospital, Heidelberg, Germany
| | | | - Felix Sahm
- Clinical Cooperation Unit Neuropathology, German Cancer Consortium (DKTK) within the German Cancer Research Center (DKFZ), Heidelberg, Germany
- Department of Neuropathology, Heidelberg University Hospital, Heidelberg, Germany
| | - Klaus Maier-Hein
- Division of Medical Image Computing, German Cancer Research Center, Heidelberg, Germany
- Pattern Analysis and Learning Group, Department of Radiation Oncology, Heidelberg University Hospital, Heidelberg, Germany
| | - Maximilian Zenk
- Division of Medical Image Computing, German Cancer Research Center, Heidelberg, Germany
| | - Martin Bendszus
- Department of Neuroradiology, Heidelberg University Hospital, Heidelberg, Germany
| | - Wolfgang Wick
- Clinical Cooperation Unit Neuropathology, German Cancer Consortium (DKTK) within the German Cancer Research Center (DKFZ), Heidelberg, Germany
- Neurology Clinic, Heidelberg University Hospital, Heidelberg, Germany
| | - Evan Calabrese
- Department of Radiology & Biomedical Imaging, University of California San Francisco, San Francisco, CA, USA
| | - Jeffrey Rudie
- Department of Radiology & Biomedical Imaging, University of California San Francisco, San Francisco, CA, USA
| | - Javier Villanueva-Meyer
- Department of Radiology & Biomedical Imaging, University of California San Francisco, San Francisco, CA, USA
| | - Soonmee Cha
- Department of Radiology & Biomedical Imaging, University of California San Francisco, San Francisco, CA, USA
| | - Madhura Ingalhalikar
- Symbiosis Center for Medical Image Analysis, Symbiosis International University, Pune, Maharashtra, India
| | - Manali Jadhav
- Symbiosis Center for Medical Image Analysis, Symbiosis International University, Pune, Maharashtra, India
| | - Umang Pandey
- Symbiosis Center for Medical Image Analysis, Symbiosis International University, Pune, Maharashtra, India
| | - Jitender Saini
- Department of Neuroimaging and Interventional Radiology, National Institute of Mental Health and Neurosciences, Bangalore, Karnataka, India
| | - John Garrett
- Department of Radiology, School of Medicine and Public Health, University of Wisconsin, Madison, WI, USA
- Department of Medical Physics, School of Medicine and Public Health, University of Wisconsin, Madison, WI, USA
| | - Matthew Larson
- Department of Radiology, School of Medicine and Public Health, University of Wisconsin, Madison, WI, USA
| | - Robert Jeraj
- Department of Radiology, School of Medicine and Public Health, University of Wisconsin, Madison, WI, USA
- Department of Medical Physics, School of Medicine and Public Health, University of Wisconsin, Madison, WI, USA
| | - Stuart Currie
- Leeds Teaching Hospitals Trust, Department of Radiology, Leeds, UK
| | - Russell Frood
- Leeds Teaching Hospitals Trust, Department of Radiology, Leeds, UK
| | - Kavi Fatania
- Leeds Teaching Hospitals Trust, Department of Radiology, Leeds, UK
| | - Raymond Y Huang
- Department of Radiology, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA
| | - Ken Chang
- Athinoula A. Martinos Center for Biomedical Imaging, Massachusetts General Hospital, Charlestown, MA, USA
| | | | | | - Josep Puig
- Department of Radiology (IDI), Girona Biomedical Research Institute (IdIBGi), Josep Trueta University Hospital, Girona, Spain
| | - Johannes Trenkler
- Institute of Neuroradiology, Neuromed Campus (NMC), Kepler University Hospital Linz, Linz, Austria
| | - Josef Pichler
- Department of Neurooncology, Neuromed Campus (NMC), Kepler University Hospital Linz, Linz, Austria
| | - Georg Necker
- Institute of Neuroradiology, Neuromed Campus (NMC), Kepler University Hospital Linz, Linz, Austria
| | - Andreas Haunschmidt
- Institute of Neuroradiology, Neuromed Campus (NMC), Kepler University Hospital Linz, Linz, Austria
| | - Stephan Meckel
- Institute of Neuroradiology, Neuromed Campus (NMC), Kepler University Hospital Linz, Linz, Austria
- Institute of Diagnostic and Interventional Neuroradiology, RKH Klinikum Ludwigsburg, Ludwigsburg, Germany
| | - Gaurav Shukla
- Center for Biomedical Image Computing and Analytics (CBICA), University of Pennsylvania, Philadelphia, PA, USA
- Department of Radiation Oncology, Christiana Care Health System, Philadelphia, PA, USA
| | - Spencer Liem
- Sidney Kimmel Medical College, Thomas Jefferson University, Philadelphia, PA, USA
| | - Gregory S Alexander
- Department of Radiation Oncology, University of Maryland, Baltimore, MD, USA
| | - Joseph Lombardo
- Sidney Kimmel Medical College, Thomas Jefferson University, Philadelphia, PA, USA
- Department of Radiation Oncology, Sidney Kimmel Cancer Center, Thomas Jefferson University, Philadelphia, PA, USA
| | - Joshua D Palmer
- Department of Radiation Oncology, The James Cancer Hospital and Solove Research Institute, The Ohio State University Comprehensive Cancer Center, Columbus, OH, USA
| | - Adam E Flanders
- Department of Radiology, Sidney Kimmel Cancer Center, Thomas Jefferson University, Philadelphia, PA, USA
| | - Adam P Dicker
- Department of Radiation Oncology, Sidney Kimmel Cancer Center, Thomas Jefferson University, Philadelphia, PA, USA
| | - Haris I Sair
- The Russell H. Morgan Department of Radiology and Radiological Science, Johns Hopkins University School of Medicine, Baltimore, MD, USA
- The Malone Center for Engineering in Healthcare, The Whiting School of Engineering, Johns Hopkins University, Baltimore, MD, USA
| | - Craig K Jones
- The Malone Center for Engineering in Healthcare, The Whiting School of Engineering, Johns Hopkins University, Baltimore, MD, USA
| | - Archana Venkataraman
- Department of Electrical and Computer Engineering, Whiting School of Engineering, Johns Hopkins University, Baltimore, MD, USA
| | - Meirui Jiang
- The Chinese University of Hong Kong, Hong Kong, China
| | - Tiffany Y So
- The Chinese University of Hong Kong, Hong Kong, China
| | - Cheng Chen
- The Chinese University of Hong Kong, Hong Kong, China
| | | | - Qi Dou
- The Chinese University of Hong Kong, Hong Kong, China
| | - Michal Kozubek
- Centre for Biomedical Image Analysis, Faculty of Informatics, Masaryk University, Brno, Czech Republic
| | - Filip Lux
- Centre for Biomedical Image Analysis, Faculty of Informatics, Masaryk University, Brno, Czech Republic
| | - Jan Michálek
- Centre for Biomedical Image Analysis, Faculty of Informatics, Masaryk University, Brno, Czech Republic
| | - Petr Matula
- Centre for Biomedical Image Analysis, Faculty of Informatics, Masaryk University, Brno, Czech Republic
| | - Miloš Keřkovský
- Department of Radiology and Nuclear Medicine, Faculty of Medicine, Masaryk University, Brno and University Hospital Brno, Brno, Czech Republic
| | - Tereza Kopřivová
- Department of Radiology and Nuclear Medicine, Faculty of Medicine, Masaryk University, Brno and University Hospital Brno, Brno, Czech Republic
| | - Marek Dostál
- Department of Radiology and Nuclear Medicine, Faculty of Medicine, Masaryk University, Brno and University Hospital Brno, Brno, Czech Republic
- Department of Biophysics, Faculty of Medicine, Masaryk University, Brno, Czech Republic
| | - Václav Vybíhal
- Department of Neurosurgery, Faculty of Medicine, Masaryk University, Brno, and University Hospital and Czech Republic, Brno, Czech Republic
| | - Michael A Vogelbaum
- Department of Neuro Oncology, H. Lee Moffitt Cancer Center and Research Institute, Tampa, FL, USA
| | - J Ross Mitchell
- University of Alberta, Edmonton, AB, Canada
- Alberta Machine Intelligence Institute, Edmonton, AB, Canada
| | - Joaquim Farinhas
- Department of Radiology, H. Lee Moffitt Cancer Center and Research Institute, Tampa, FL, USA
| | | | | | - Marco C Pinho
- University of Texas Southwestern Medical Center, Dallas, TX, USA
| | - Divya Reddy
- University of Texas Southwestern Medical Center, Dallas, TX, USA
| | - James Holcomb
- University of Texas Southwestern Medical Center, Dallas, TX, USA
| | | | - Benjamin M Ellingson
- UCLA Brain Tumor Imaging Laboratory (BTIL), Center for Computer Vision and Imaging Biomarkers, Department of Radiological Sciences, David Geffen School of Medicine, University of California Los Angeles, Los Angeles, CA, USA
- UCLA Neuro-Oncology Program, Department of Neurology, David Geffen School of Medicine, University of California Los Angeles, Los Angeles, CaA, USA
| | - Timothy F Cloughesy
- UCLA Neuro-Oncology Program, Department of Neurology, David Geffen School of Medicine, University of California Los Angeles, Los Angeles, CaA, USA
| | - Catalina Raymond
- UCLA Brain Tumor Imaging Laboratory (BTIL), Center for Computer Vision and Imaging Biomarkers, Department of Radiological Sciences, David Geffen School of Medicine, University of California Los Angeles, Los Angeles, CA, USA
| | - Talia Oughourlian
- UCLA Brain Tumor Imaging Laboratory (BTIL), Center for Computer Vision and Imaging Biomarkers, Department of Radiological Sciences, David Geffen School of Medicine, University of California Los Angeles, Los Angeles, CA, USA
- Department of Radiological Sciences, David Geffen School of Medicine, University of California Los Angeles, Los Angeles, CA, USA
| | - Akifumi Hagiwara
- Department of Radiological Sciences, David Geffen School of Medicine, University of California Los Angeles, Los Angeles, CA, USA
| | - Chencai Wang
- Department of Radiological Sciences, David Geffen School of Medicine, University of California Los Angeles, Los Angeles, CA, USA
| | - Minh-Son To
- College of Medicine and Public Health, Flinders University, Bedford Park, SA, Australia
- Division of Surgery and Perioperative Medicine, Flinders Medical Centre, Bedford Park, SA, Australia
| | - Sargam Bhardwaj
- College of Medicine and Public Health, Flinders University, Bedford Park, SA, Australia
| | - Chee Chong
- South Australia Medical Imaging, Flinders Medical Centre, Bedford Park, SA, Australia
| | - Marc Agzarian
- South Australia Medical Imaging, Flinders Medical Centre, Bedford Park, SA, Australia
- Department of Neurology, Baylor College of Medicine, Houston, TX, USA
| | | | | | - Bernardo C A Teixeira
- Instituto de Neurologia de Curitiba, Curitiba, Paraná, Brazil
- Department of Radiology, Hospital de Clínicas da Universidade Federal do Paraná, Curitiba, Paraná, Brazil
| | - Flávia Sprenger
- Department of Radiology, Hospital de Clínicas da Universidade Federal do Paraná, Curitiba, Paraná, Brazil
| | - David Menotti
- Department of Informatics, Universidade Federal do Paraná, Curitiba, Paraná, Brazil
| | - Diego R Lucio
- Department of Informatics, Universidade Federal do Paraná, Curitiba, Paraná, Brazil
| | - Pamela LaMontagne
- Department of Radiology, Washington University in St. Louis, St. Louis, MO, USA
| | - Daniel Marcus
- Department of Radiology, Washington University in St. Louis, St. Louis, MO, USA
| | - Benedikt Wiestler
- Department of Diagnostic and Interventional Neuroradiology, School of Medicine, Klinikum rechts der Isar, Technical University of Munich, Munich, Germany
- TranslaTUM (Zentralinstitut für translationale Krebsforschung der Technischen Universität München), Klinikum rechts der Isar, Munich, Germany
| | - Florian Kofler
- Department of Diagnostic and Interventional Neuroradiology, School of Medicine, Klinikum rechts der Isar, Technical University of Munich, Munich, Germany
- TranslaTUM (Zentralinstitut für translationale Krebsforschung der Technischen Universität München), Klinikum rechts der Isar, Munich, Germany
- Image-Based Biomedical Modeling, Department of Informatics, Technical University of Munich, Munich, Germany
| | - Ivan Ezhov
- Department of Informatics, Technical University of Munich, Munich, Bavaria, Germany
- TranslaTUM (Zentralinstitut für translationale Krebsforschung der Technischen Universität München), Klinikum rechts der Isar, Munich, Germany
- Image-Based Biomedical Modeling, Department of Informatics, Technical University of Munich, Munich, Germany
| | - Marie Metz
- Department of Diagnostic and Interventional Neuroradiology, School of Medicine, Klinikum rechts der Isar, Technical University of Munich, Munich, Germany
| | - Rajan Jain
- Department of Radiology, NYU Grossman School of Medicine, New York, NY, USA
- Department of Neurosurgery, NYU Grossman School of Medicine, New York, NY, USA
| | - Matthew Lee
- Department of Radiology, NYU Grossman School of Medicine, New York, NY, USA
| | - Yvonne W Lui
- Department of Radiology, NYU Grossman School of Medicine, New York, NY, USA
| | - Richard McKinley
- Support Center for Advanced Neuroimaging, University Institute of Diagnostic and Interventional Neuroradiology, University Hospital Bern, Inselspital, University of Bern, Bern, Switzerland
| | - Johannes Slotboom
- Support Center for Advanced Neuroimaging, University Institute of Diagnostic and Interventional Neuroradiology, University Hospital Bern, Inselspital, University of Bern, Bern, Switzerland
| | - Piotr Radojewski
- Support Center for Advanced Neuroimaging, University Institute of Diagnostic and Interventional Neuroradiology, University Hospital Bern, Inselspital, University of Bern, Bern, Switzerland
| | - Raphael Meier
- Support Center for Advanced Neuroimaging, University Institute of Diagnostic and Interventional Neuroradiology, University Hospital Bern, Inselspital, University of Bern, Bern, Switzerland
| | - Roland Wiest
- Support Center for Advanced Neuroimaging, University Institute of Diagnostic and Interventional Neuroradiology, University Hospital Bern, Inselspital, University of Bern, Bern, Switzerland
| | - Derrick Murcia
- Department of Neurosurgery, Anschutz Medical Campus, University of Colorado, Aurora, CO, USA
| | - Eric Fu
- Department of Neurosurgery, Anschutz Medical Campus, University of Colorado, Aurora, CO, USA
| | - Rourke Haas
- Department of Neurosurgery, Anschutz Medical Campus, University of Colorado, Aurora, CO, USA
| | - John Thompson
- Department of Neurosurgery, Anschutz Medical Campus, University of Colorado, Aurora, CO, USA
| | - David Ryan Ormond
- Department of Neurosurgery, Anschutz Medical Campus, University of Colorado, Aurora, CO, USA
| | - Chaitra Badve
- Department of Radiology, University Hospitals Cleveland, Cleveland, OH, USA
| | - Andrew E Sloan
- Department of Neurological Surgery, University Hospitals-Seidman Cancer Center, Cleveland, OH, USA
- Case Comprehensive Cancer Center, Cleveland, OH, USA
- Department of Neurosurgery, Case Western Reserve University School of Medicine, Cleveland, OH, USA
| | - Vachan Vadmal
- Department of Neurosurgery, Case Western Reserve University School of Medicine, Cleveland, OH, USA
| | - Kristin Waite
- National Cancer Institute, National Institute of Health, Division of Cancer Epidemiology and Genetics, Bethesda, MD, USA
| | - Rivka R Colen
- Department of Radiology, Neuroradiology Division, University of Pittsburgh, Pittsburgh, PA, USA
- Department of Diagnostic Radiology, University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Linmin Pei
- University of Pittsburgh Medical Center, Pittsburgh, PA, USA
| | - Murat Ak
- Department of Radiology, Neuroradiology Division, University of Pittsburgh, Pittsburgh, PA, USA
| | - Ashok Srinivasan
- Department of Neuroradiology, University of Michigan, Ann Arbor, MI, USA
| | - J Rajiv Bapuraj
- Department of Neuroradiology, University of Michigan, Ann Arbor, MI, USA
| | - Arvind Rao
- Department of Computational Medicine and Bioinformatics, University of Michigan, Ann Arbor, MI, USA
| | - Nicholas Wang
- Department of Computational Medicine and Bioinformatics, University of Michigan, Ann Arbor, MI, USA
| | - Ota Yoshiaki
- Department of Neuroradiology, University of Michigan, Ann Arbor, MI, USA
| | - Toshio Moritani
- Department of Neuroradiology, University of Michigan, Ann Arbor, MI, USA
| | - Sevcan Turk
- Department of Neuroradiology, University of Michigan, Ann Arbor, MI, USA
| | - Joonsang Lee
- Department of Computational Medicine and Bioinformatics, University of Michigan, Ann Arbor, MI, USA
| | - Snehal Prabhudesai
- Department of Computational Medicine and Bioinformatics, University of Michigan, Ann Arbor, MI, USA
| | - Fanny Morón
- Department of Radiology, Baylor College of Medicine, Houston, TX, USA
| | - Jacob Mandel
- Department of Neurology, Baylor College of Medicine, Houston, TX, USA
| | - Konstantinos Kamnitsas
- Department of Computing, Imperial College London, London, UK
- Institute of Biomedical Engineering, Department of Engineering Science, University of Oxford, Oxford, UK
| | - Ben Glocker
- Department of Computing, Imperial College London, London, UK
| | - Luke V M Dixon
- Department of Radiology, Imperial College NHS Healthcare Trust, London, UK
| | - Matthew Williams
- Computational Oncology Group, Institute for Global Health Innovation, Imperial College London, London, UK
| | - Peter Zampakis
- Department of NeuroRadiology, University of Patras, Patras, Greece
| | | | - Panagiotis Tsiganos
- Clinical Radiology Laboratory, Department of Medicine, University of Patras, Patras, Greece
| | - Sotiris Alexiou
- Department of Electrical and Computer Engineering, University of Patras, Patras, Greece
| | - Ilias Haliassos
- Department of Neuro-Oncology, University of Patras, Patras, Greece
| | - Evangelia I Zacharaki
- Department of Electrical and Computer Engineering, University of Patras, Patras, Greece
| | | | | | | | | | | | | | - Sung Soo Ahn
- Yonsei University College of Medicine, Seoul, Korea
| | - Bing Luo
- Department of Radiation Oncology, Henry Ford Health System, Detroit, MI, USA
| | - Laila Poisson
- Public Health Sciences, Henry Ford Health System, Detroit, MI, USA
| | - Ning Wen
- Department of Radiation Oncology, Henry Ford Health System, Detroit, MI, USA
- SJTU-Ruijin-UIH Institute for Medical Imaging Technology, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, 200025, Shanghai, China
| | | | - Ruchika Verma
- Alberta Machine Intelligence Institute, Edmonton, AB, Canada
- Case Western Reserve University, Cleveland, OH, USA
| | - Rohan Bareja
- Case Western Reserve University, Cleveland, OH, USA
| | - Ipsa Yadav
- Case Western Reserve University, Cleveland, OH, USA
| | | | - Neeraj Kumar
- University of Alberta, Edmonton, AB, Canada
- Alberta Machine Intelligence Institute, Edmonton, AB, Canada
| | - Marion Smits
- Department of Radiology and Nuclear Medicine, Erasmus MC University Medical Centre Rotterdam, Rotterdam, Netherlands
| | - Sebastian R van der Voort
- Department of Radiology and Nuclear Medicine, Erasmus MC University Medical Centre Rotterdam, Rotterdam, Netherlands
| | - Ahmed Alafandi
- Department of Radiology and Nuclear Medicine, Erasmus MC University Medical Centre Rotterdam, Rotterdam, Netherlands
| | - Fatih Incekara
- Department of Radiology and Nuclear Medicine, Erasmus MC University Medical Centre Rotterdam, Rotterdam, Netherlands
- Department of Neurosurgery, Brain Tumor Center, Erasmus MC University Medical Centre Rotterdam, Rotterdam, Netherlands
| | - Maarten M J Wijnenga
- Department of Neurology, Brain Tumor Center, Erasmus MC Cancer Institute, Rotterdam, Netherlands
| | - Georgios Kapsas
- Department of Radiology and Nuclear Medicine, Erasmus MC University Medical Centre Rotterdam, Rotterdam, Netherlands
| | - Renske Gahrmann
- Department of Radiology and Nuclear Medicine, Erasmus MC University Medical Centre Rotterdam, Rotterdam, Netherlands
| | - Joost W Schouten
- Department of Neurosurgery, Brain Tumor Center, Erasmus MC University Medical Centre Rotterdam, Rotterdam, Netherlands
| | - Hendrikus J Dubbink
- Department of Pathology, Brain Tumor Center, Erasmus MC Cancer Institute, Rotterdam, Netherlands
| | - Arnaud J P E Vincent
- Department of Neurosurgery, Brain Tumor Center, Erasmus MC University Medical Centre Rotterdam, Rotterdam, Netherlands
| | - Martin J van den Bent
- Department of Neurology, Brain Tumor Center, Erasmus MC Cancer Institute, Rotterdam, Netherlands
| | - Pim J French
- Department of Neurology, Brain Tumor Center, Erasmus MC Cancer Institute, Rotterdam, Netherlands
| | - Stefan Klein
- Biomedical Imaging Group Rotterdam, Department of Radiology and Nuclear Medicine, Erasmus MC University Medical Centre Rotterdam, Rotterdam, Netherlands
| | - Yading Yuan
- Department of Radiation Oncology, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Sonam Sharma
- Department of Radiation Oncology, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Tzu-Chi Tseng
- Department of Radiation Oncology, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Saba Adabi
- Department of Radiation Oncology, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Simone P Niclou
- NORLUX Neuro-Oncology Laboratory, Department of Cancer Research, Luxembourg Institute of Health, Luxembourg, Luxembourg
| | - Olivier Keunen
- Translation Radiomics, Department of Cancer Research, Luxembourg Institute of Health, Luxembourg, Luxembourg
| | - Ann-Christin Hau
- NORLUX Neuro-Oncology Laboratory, Department of Cancer Research, Luxembourg Institute of Health, Luxembourg, Luxembourg
- Luxembourg Center of Neuropathology, Laboratoire National De Santé, Luxembourg, Luxembourg
| | - Martin Vallières
- Department of Computer Science, Université de Sherbrooke, Sherbrooke, QC, Canada
- Centre de Recherche du Centre Hospitalière Universitaire de Sherbrooke, Sherbrooke, QC, Canada
| | - David Fortin
- Centre de Recherche du Centre Hospitalière Universitaire de Sherbrooke, Sherbrooke, QC, Canada
- Division of Neurosurgery and Neuro-Oncology, Faculty of Medicine and Health Science, Université de Sherbrooke, Sherbrooke, QC, Canada
| | - Martin Lepage
- Centre de Recherche du Centre Hospitalière Universitaire de Sherbrooke, Sherbrooke, QC, Canada
- Department of Nuclear Medicine and Radiobiology, Sherbrooke Molecular Imaging Centre, Université de Sherbrooke, Sherbrooke, QC, Canada
| | - Bennett Landman
- Electrical and Computer Engineering, Vanderbilt University, Nashville, TN, USA
| | - Karthik Ramadass
- Electrical and Computer Engineering, Vanderbilt University, Nashville, TN, USA
| | - Kaiwen Xu
- Department of Computer Science, Vanderbilt University, Nashville, TN, USA
| | - Silky Chotai
- Department of Neurosurgery, Vanderbilt University Medical Center, Nashville, TN, USA
| | - Lola B Chambless
- Department of Neurosurgery, Vanderbilt University Medical Center, Nashville, TN, USA
| | - Akshitkumar Mistry
- Department of Neurosurgery, Vanderbilt University Medical Center, Nashville, TN, USA
| | - Reid C Thompson
- Department of Neurosurgery, Vanderbilt University Medical Center, Nashville, TN, USA
| | - Yuriy Gusev
- Innovation Center for Biomedical Informatics (ICBI), Georgetown University, Washington, DC, USA
| | - Krithika Bhuvaneshwar
- Innovation Center for Biomedical Informatics (ICBI), Georgetown University, Washington, DC, USA
| | - Anousheh Sayah
- Division of Neuroradiology & Neurointerventional Radiology, Department of Radiology, MedStar Georgetown University Hospital, Washington, DC, USA
| | - Camelia Bencheqroun
- Innovation Center for Biomedical Informatics (ICBI), Georgetown University, Washington, DC, USA
| | - Anas Belouali
- Innovation Center for Biomedical Informatics (ICBI), Georgetown University, Washington, DC, USA
| | - Subha Madhavan
- Innovation Center for Biomedical Informatics (ICBI), Georgetown University, Washington, DC, USA
| | - Thomas C Booth
- School of Biomedical Engineering & Imaging Sciences, King's College London, London, UK
- Department of Neuroradiology, Ruskin Wing, King's College Hospital NHS Foundation Trust, London, UK
| | - Alysha Chelliah
- School of Biomedical Engineering & Imaging Sciences, King's College London, London, UK
| | - Marc Modat
- School of Biomedical Engineering & Imaging Sciences, King's College London, London, UK
| | - Haris Shuaib
- Stoke Mandeville Hospital, Mandeville Road, Aylesbury, UK
- Department of Biomedical and Molecular Sciences, Queen's University, Kingston, ON, Canada
| | - Carmen Dragos
- Stoke Mandeville Hospital, Mandeville Road, Aylesbury, UK
| | | | | | | | | | - Shady Gamal
- University of Cairo School of Medicine, Giza, Egypt
| | | | | | | | - Ji Eun Park
- Department of Radiology, Asan Medical Center, Seoul, South Korea
| | - Jihye Yun
- Department of Radiology, Asan Medical Center, Seoul, South Korea
| | - Ho Sung Kim
- Department of Radiology, Asan Medical Center, Seoul, South Korea
| | - Abhishek Mahajan
- The Clatterbridge Cancer Centre NHS Foundation Trust Pembroke Place, Liverpool, UK
| | - Mark Muzi
- Department of Radiology, University of Washington, Seattle, WA, USA
| | - Sean Benson
- Netherlands Cancer Institute, Amsterdam, Netherlands
| | - Regina G H Beets-Tan
- Department of Radiology, Netherlands Cancer Institute, Amsterdam, Netherlands
- GROW School of Oncology and Developmental Biology, Maastricht, Netherlands
| | - Jonas Teuwen
- Netherlands Cancer Institute, Amsterdam, Netherlands
| | | | | | - William Escobar
- Clínica Imbanaco Grupo Quirón Salud, Cali, Colombia
- Universidad del Valle, Cali, Colombia
| | | | - Jose Bernal
- Universidad del Valle, Cali, Colombia
- The University of Edinburgh, Edinburgh, UK
| | | | - Joseph Choi
- Department of Industrial and Systems Engineering, University of Iowa, Iowa, USA
| | - Stephen Baek
- Department of Industrial and Systems Engineering, Department of Radiation Oncology, University of Iowa, Iowa City, IA, USA
| | - Yusung Kim
- Department of Radiation Oncology, University of Iowa, Iowa City, IA, USA
| | - Heba Ismael
- Department of Radiation Oncology, University of Iowa, Iowa City, IA, USA
| | - Bryan Allen
- Department of Radiation Oncology, University of Iowa, Iowa City, IA, USA
| | - John M Buatti
- Department of Radiation Oncology, University of Iowa, Iowa City, IA, USA
| | | | - Hongwei Li
- Department of Quantitative Biomedicine, University of Zurich, Zurich, Switzerland
| | - Tobias Weiss
- Department of Neurology, Clinical Neuroscience Center, University Hospital Zurich and University of Zurich, Zurich, Switzerland
| | - Michael Weller
- Department of Neurology, Clinical Neuroscience Center, University Hospital Zurich and University of Zurich, Zurich, Switzerland
| | - Andrea Bink
- Department of Neuroradiology, Clinical Neuroscience Center, University Hospital Zurich and University of Zurich, Zurich, Switzerland
| | - Bertrand Pouymayou
- Department of Neuroradiology, Clinical Neuroscience Center, University Hospital Zurich and University of Zurich, Zurich, Switzerland
| | | | - Joel Saltz
- Department of Biomedical Informatics, Stony Brook University, Stony Brook, New York, USA
| | - Prateek Prasanna
- Department of Biomedical Informatics, Stony Brook University, Stony Brook, New York, USA
| | - Sampurna Shrestha
- Department of Biomedical Informatics, Stony Brook University, Stony Brook, New York, USA
| | - Kartik M Mani
- Department of Biomedical Informatics, Stony Brook University, Stony Brook, New York, USA
- Department of Radiation Oncology, Stony Brook University, Stony Brook, NY, USA
| | - David Payne
- Department of Radiology, Stony Brook University, Stony Brook, NY, USA
| | - Tahsin Kurc
- Department of Biomedical Informatics, Stony Brook University, Stony Brook, New York, USA
- Scientific Data Group, Oak Ridge National Laboratory, Oak Ridge, TN, USA
| | - Enrique Pelaez
- Escuela Superior Politecnica del Litoral, Guayaquil, Guayas, Ecuador
| | | | - Francis Loayza
- Escuela Superior Politecnica del Litoral, Guayaquil, Guayas, Ecuador
| | | | | | | | | | - Franco Vera
- Universidad de Concepción, Concepción, Biobío, Chile
| | - Elvis Ríos
- Universidad de Concepción, Concepción, Biobío, Chile
| | - Eduardo López
- Universidad de Concepción, Concepción, Biobío, Chile
| | - Sergio A Velastin
- School of Electronic Engineering and Computer Science, Queen Mary University of London, London, UK
| | - Godwin Ogbole
- Department of Radiology, University College Hospital Ibadan, Oyo, Nigeria
| | - Mayowa Soneye
- Department of Radiology, University College Hospital Ibadan, Oyo, Nigeria
| | - Dotun Oyekunle
- Department of Radiology, University College Hospital Ibadan, Oyo, Nigeria
| | | | - Babatunde Osobu
- Department of Radiology, University College Hospital Ibadan, Oyo, Nigeria
| | - Mustapha Shu'aibu
- Department of Radiology, Muhammad Abdullahi Wase Teaching Hospital, Kano, Nigeria
| | - Adeleye Dorcas
- Department of Radiology, Obafemi Awolowo University Ile-Ife, Ile-Ife, Osun, Nigeria
| | - Farouk Dako
- Department of Radiology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA
- Center for Global Health, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA
| | - Amber L Simpson
- Department of Biomedical and Molecular Sciences, Queen's University, Kingston, ON, Canada
- School of Computing, Queen's University, Kingston, ON, Canada
| | - Mohammad Hamghalam
- School of Computing, Queen's University, Kingston, ON, Canada
- Department of Electrical Engineering, Qazvin Branch, Islamic Azad University, Qazvin, Iran
| | - Jacob J Peoples
- School of Computing, Queen's University, Kingston, ON, Canada
| | - Ricky Hu
- School of Computing, Queen's University, Kingston, ON, Canada
| | - Anh Tran
- School of Computing, Queen's University, Kingston, ON, Canada
| | - Danielle Cutler
- The Faculty of Arts & Sciences, Queen's University, Kingston, ON, Canada
| | - Fabio Y Moraes
- Department of Oncology, Queen's University, Kingston, ON, Canada
| | - Michael A Boss
- Center for Research and Innovation, American College of Radiology, Philadelphia, PA, USA
| | - James Gimpel
- Center for Research and Innovation, American College of Radiology, Philadelphia, PA, USA
| | - Deepak Kattil Veettil
- Center for Research and Innovation, American College of Radiology, Philadelphia, PA, USA
| | - Kendall Schmidt
- Data Science Institute, American College of Radiology, Reston, VA, USA
| | - Brian Bialecki
- Data Science Institute, American College of Radiology, Reston, VA, USA
| | - Sailaja Marella
- Center for Research and Innovation, American College of Radiology, Philadelphia, PA, USA
| | - Cynthia Price
- Center for Research and Innovation, American College of Radiology, Philadelphia, PA, USA
| | - Lisa Cimino
- Center for Research and Innovation, American College of Radiology, Philadelphia, PA, USA
| | - Charles Apgar
- Center for Research and Innovation, American College of Radiology, Philadelphia, PA, USA
| | | | - Bjoern Menze
- Department of Informatics, Technical University of Munich, Munich, Bavaria, Germany
- Department of Quantitative Biomedicine, University of Zurich, Zurich, Switzerland
| | - Jill S Barnholtz-Sloan
- National Cancer Institute, National Institute of Health, Division of Cancer Epidemiology and Genetics, Bethesda, MD, USA
- Center for Biomedical Informatics and Information Technology, National Cancer Institute (NCI), National Institute of Health, Bethesda, MD, USA
| | | | - Spyridon Bakas
- Center for Biomedical Image Computing and Analytics (CBICA), University of Pennsylvania, Philadelphia, PA, USA.
- Department of Radiology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA.
- Department of Pathology and Laboratory Medicine, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA.
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Karampitsakos T, Tzilas V, Papaioannou O, Chrysikos S, Vasarmidi E, Juge PA, Vizirianaki S, Bibaki E, Reppa A, Sidiropoulos P, Katsaras M, Sotiropoulou V, Tsiri P, Koulousousa E, Theochari E, Tsirikos G, Christopoulos I, Malakounidou E, Zarkadi E, Sampsonas F, Hillas G, Karageorgas T, Daoussis D, Kalogeropoulou C, Dimakou K, Tzanakis N, Borie R, Dieudé P, Antoniou K, Crestani B, Bouros D, Tzouvelekis A. Clinical features and outcomes of patients with myositis associated-interstitial lung disease. Front Med (Lausanne) 2023; 9:1096203. [PMID: 36698813 PMCID: PMC9868310 DOI: 10.3389/fmed.2022.1096203] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/11/2022] [Accepted: 12/14/2022] [Indexed: 01/11/2023] Open
Abstract
Introduction Myositis associated interstitial lung disease (ILD) seems to be an under-recognized entity. Methods In this multicenter, retrospective study, we recorded between 9/12/2019 and 30/9/2021 consecutive patients who presented in five different ILD centers from two European countries (Greece, France) and received a multidisciplinary diagnosis of myositis associated-ILD. The primary outcome was all-cause mortality over 1 year in specific subgroups of patients. Secondary outcomes included comparison of disease characteristics between patients diagnosed with the amyopathic subtype and patients with evidence of myopathy at diagnosis. Results We identified 75 patients with myositis associated-ILD. Median age (95% CI) at the time of diagnosis was 64.0 (61.0-65.0) years. Antinuclear antibody testing was positive in 40% of the cohort (n = 30/75). Myopathy onset occurred first in 40.0% of cases (n = 30), ILD without evidence of myopathy occurred in 29 patients (38.7%), while 16 patients (21.3%) were diagnosed concomitantly with ILD and myopathy. The commonest radiographic pattern was cellular non-specific interstitial pneumonia (NSIP) and was observed in 29 patients (38.7%). The radiographic pattern of organizing pneumonia was significantly more common in patients diagnosed with the amyopathic subtype compared to patients that presented with myopathy [24.1% (n = 7/29) vs. 6.5% (n = 3/46), p = 0.03]. One year survival was 86.7% in the overall population. Kaplan-Meier analysis demonstrated significantly higher all-cause 1-year mortality in patients with the amyopathic subtype compared to patients with evidence of myopathy [H R 4.24 (95% CI: 1.16-15.54), p = 0.03]. Patients diagnosed following hospitalization due to acute respiratory failure experienced increased risk of 1-year all-cause mortality compared to patients diagnosed in outpatient setting [HR 6.70 (95% CI: 1.19-37.81), p = 0.03]. Finally, patients with positive anti-MDA5 presented with higher 1-year all-cause mortality compared to anti-MDA5 negative patients [HR 28.37 (95% CI: 5.13-157.01), p = 0.0001]. Conclusion Specific ILD radiographic patterns such as NSIP and organizing pneumonia may herald underlying inflammatory myopathies. Hospitalized patients presenting with bilateral organizing pneumonia refractory to antibiotics should be meticulously evaluated for myositis associated-ILD even if there is no overt muscular involvement. Incorporation of ILD radiological patterns in the diagnostic criteria of inflammatory myopathies may lead to timely therapeutic interventions and positively impact patients' survival.
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Affiliation(s)
| | - Vasilios Tzilas
- 5th Department of Pneumonology, General Hospital for Thoracic Diseases Sotiria, Athens, Greece
| | - Ourania Papaioannou
- Department of Respiratory Medicine, University Hospital of Patras, Patras, Greece
| | - Serafeim Chrysikos
- 5th Department of Pneumonology, General Hospital for Thoracic Diseases Sotiria, Athens, Greece
| | - Eirini Vasarmidi
- Laboratory of Molecular and Cellular Pneumonology, Department of Thoracic Medicine, Medical School, University of Crete, Heraklion, Greece,Université de Paris, INSERM UMR 1152, F-75018, Paris, France,Assistance Publique – Hôpitaux de Paris (APHP), Service de Pneumologie A, Centre de Référence Constitutif des Maladies Pulmonaires Rares, Fédération Hospitalo-Universitaire (FHU) APOLLO, Hôpital Bichat, Paris, France
| | - Pierre-Antoine Juge
- Université de Paris, INSERM UMR 1152, F-75018, Paris, France,Assistance Publique – Hôpitaux de Paris (APHP), Service de Rheumatologie, Hôpital Bichat-Claude Bernard, F-75018, Paris, France
| | - Styliani Vizirianaki
- Laboratory of Molecular and Cellular Pneumonology, Department of Thoracic Medicine, Medical School, University of Crete, Heraklion, Greece
| | - Eleni Bibaki
- Laboratory of Molecular and Cellular Pneumonology, Department of Thoracic Medicine, Medical School, University of Crete, Heraklion, Greece
| | - Argyro Reppa
- Department of Rheumatology, Medical School, University of Crete, Heraklion, Greece
| | | | - Matthaios Katsaras
- Department of Respiratory Medicine, University Hospital of Patras, Patras, Greece
| | | | - Panagiota Tsiri
- Department of Respiratory Medicine, University Hospital of Patras, Patras, Greece
| | - Electra Koulousousa
- Department of Respiratory Medicine, University Hospital of Patras, Patras, Greece
| | - Eva Theochari
- Department of Respiratory Medicine, University Hospital of Patras, Patras, Greece
| | - Georgios Tsirikos
- Department of Respiratory Medicine, University Hospital of Patras, Patras, Greece
| | | | - Elli Malakounidou
- Department of Respiratory Medicine, University Hospital of Patras, Patras, Greece
| | - Eirini Zarkadi
- Department of Respiratory Medicine, University Hospital of Patras, Patras, Greece
| | - Fotios Sampsonas
- Department of Respiratory Medicine, University Hospital of Patras, Patras, Greece
| | - Georgios Hillas
- 5th Department of Pneumonology, General Hospital for Thoracic Diseases Sotiria, Athens, Greece
| | - Theofanis Karageorgas
- Department of Rheumatology, Attikon University Hospital, Athens Medical School, National and Kapodistrian University of Athens, Athens, Greece
| | - Dimitrios Daoussis
- Department of Rheumatology, University Hospital of Patras, University of Patras Medical School, Patras, Greece
| | | | - Katerina Dimakou
- 5th Department of Pneumonology, General Hospital for Thoracic Diseases Sotiria, Athens, Greece
| | - Nikolaos Tzanakis
- Laboratory of Molecular and Cellular Pneumonology, Department of Thoracic Medicine, Medical School, University of Crete, Heraklion, Greece
| | - Raphael Borie
- Université de Paris, INSERM UMR 1152, F-75018, Paris, France,Assistance Publique – Hôpitaux de Paris (APHP), Service de Pneumologie A, Centre de Référence Constitutif des Maladies Pulmonaires Rares, Fédération Hospitalo-Universitaire (FHU) APOLLO, Hôpital Bichat, Paris, France
| | - Philippe Dieudé
- Université de Paris, INSERM UMR 1152, F-75018, Paris, France,Assistance Publique – Hôpitaux de Paris (APHP), Service de Rheumatologie, Hôpital Bichat-Claude Bernard, F-75018, Paris, France
| | - Katerina Antoniou
- Laboratory of Molecular and Cellular Pneumonology, Department of Thoracic Medicine, Medical School, University of Crete, Heraklion, Greece
| | - Bruno Crestani
- Université de Paris, INSERM UMR 1152, F-75018, Paris, France,Assistance Publique – Hôpitaux de Paris (APHP), Service de Pneumologie A, Centre de Référence Constitutif des Maladies Pulmonaires Rares, Fédération Hospitalo-Universitaire (FHU) APOLLO, Hôpital Bichat, Paris, France
| | - Demosthenes Bouros
- First Academic Department of Pneumonology, Hospital for Thoracic Diseases, “SOTIRIA”, Medical School, National and Kapodistrian University of Athens, Athens, Greece
| | - Argyris Tzouvelekis
- Department of Respiratory Medicine, University Hospital of Patras, Patras, Greece,*Correspondence: Argyris Tzouvelekis, ,
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Pati S, Baid U, Edwards B, Sheller M, Wang SH, Reina GA, Foley P, Gruzdev A, Karkada D, Davatzikos C, Sako C, Ghodasara S, Bilello M, Mohan S, Vollmuth P, Brugnara G, Preetha CJ, Sahm F, Maier-Hein K, Zenk M, Bendszus M, Wick W, Calabrese E, Rudie J, Villanueva-Meyer J, Cha S, Ingalhalikar M, Jadhav M, Pandey U, Saini J, Garrett J, Larson M, Jeraj R, Currie S, Frood R, Fatania K, Huang RY, Chang K, Balaña C, Capellades J, Puig J, Trenkler J, Pichler J, Necker G, Haunschmidt A, Meckel S, Shukla G, Liem S, Alexander GS, Lombardo J, Palmer JD, Flanders AE, Dicker AP, Sair HI, Jones CK, Venkataraman A, Jiang M, So TY, Chen C, Heng PA, Dou Q, Kozubek M, Lux F, Michálek J, Matula P, Keřkovský M, Kopřivová T, Dostál M, Vybíhal V, Vogelbaum MA, Mitchell JR, Farinhas J, Maldjian JA, Yogananda CGB, Pinho MC, Reddy D, Holcomb J, Wagner BC, Ellingson BM, Cloughesy TF, Raymond C, Oughourlian T, Hagiwara A, Wang C, To MS, Bhardwaj S, Chong C, Agzarian M, Falcão AX, Martins SB, Teixeira BCA, Sprenger F, Menotti D, Lucio DR, LaMontagne P, Marcus D, Wiestler B, Kofler F, Ezhov I, Metz M, Jain R, Lee M, Lui YW, McKinley R, Slotboom J, Radojewski P, Meier R, Wiest R, Murcia D, Fu E, Haas R, Thompson J, Ormond DR, Badve C, Sloan AE, Vadmal V, Waite K, Colen RR, Pei L, Ak M, Srinivasan A, Bapuraj JR, Rao A, Wang N, Yoshiaki O, Moritani T, Turk S, Lee J, Prabhudesai S, Morón F, Mandel J, Kamnitsas K, Glocker B, Dixon LVM, Williams M, Zampakis P, Panagiotopoulos V, Tsiganos P, Alexiou S, Haliassos I, Zacharaki EI, Moustakas K, Kalogeropoulou C, Kardamakis DM, Choi YS, Lee SK, Chang JH, Ahn SS, Luo B, Poisson L, Wen N, Tiwari P, Verma R, Bareja R, Yadav I, Chen J, Kumar N, Smits M, van der Voort SR, Alafandi A, Incekara F, Wijnenga MMJ, Kapsas G, Gahrmann R, Schouten JW, Dubbink HJ, Vincent AJPE, van den Bent MJ, French PJ, Klein S, Yuan Y, Sharma S, Tseng TC, Adabi S, Niclou SP, Keunen O, Hau AC, Vallières M, Fortin D, Lepage M, Landman B, Ramadass K, Xu K, Chotai S, Chambless LB, Mistry A, Thompson RC, Gusev Y, Bhuvaneshwar K, Sayah A, Bencheqroun C, Belouali A, Madhavan S, Booth TC, Chelliah A, Modat M, Shuaib H, Dragos C, Abayazeed A, Kolodziej K, Hill M, Abbassy A, Gamal S, Mekhaimar M, Qayati M, Reyes M, Park JE, Yun J, Kim HS, Mahajan A, Muzi M, Benson S, Beets-Tan RGH, Teuwen J, Herrera-Trujillo A, Trujillo M, Escobar W, Abello A, Bernal J, Gómez J, Choi J, Baek S, Kim Y, Ismael H, Allen B, Buatti JM, Kotrotsou A, Li H, Weiss T, Weller M, Bink A, Pouymayou B, Shaykh HF, Saltz J, Prasanna P, Shrestha S, Mani KM, Payne D, Kurc T, Pelaez E, Franco-Maldonado H, Loayza F, Quevedo S, Guevara P, Torche E, Mendoza C, Vera F, Ríos E, López E, Velastin SA, Ogbole G, Soneye M, Oyekunle D, Odafe-Oyibotha O, Osobu B, Shu'aibu M, Dorcas A, Dako F, Simpson AL, Hamghalam M, Peoples JJ, Hu R, Tran A, Cutler D, Moraes FY, Boss MA, Gimpel J, Veettil DK, Schmidt K, Bialecki B, Marella S, Price C, Cimino L, Apgar C, Shah P, Menze B, Barnholtz-Sloan JS, Martin J, Bakas S. Federated learning enables big data for rare cancer boundary detection. Nat Commun 2022; 13:7346. [PMID: 36470898 PMCID: PMC9722782 DOI: 10.1038/s41467-022-33407-5] [Citation(s) in RCA: 50] [Impact Index Per Article: 25.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/07/2022] [Accepted: 09/16/2022] [Indexed: 12/12/2022] Open
Abstract
Although machine learning (ML) has shown promise across disciplines, out-of-sample generalizability is concerning. This is currently addressed by sharing multi-site data, but such centralization is challenging/infeasible to scale due to various limitations. Federated ML (FL) provides an alternative paradigm for accurate and generalizable ML, by only sharing numerical model updates. Here we present the largest FL study to-date, involving data from 71 sites across 6 continents, to generate an automatic tumor boundary detector for the rare disease of glioblastoma, reporting the largest such dataset in the literature (n = 6, 314). We demonstrate a 33% delineation improvement for the surgically targetable tumor, and 23% for the complete tumor extent, over a publicly trained model. We anticipate our study to: 1) enable more healthcare studies informed by large diverse data, ensuring meaningful results for rare diseases and underrepresented populations, 2) facilitate further analyses for glioblastoma by releasing our consensus model, and 3) demonstrate the FL effectiveness at such scale and task-complexity as a paradigm shift for multi-site collaborations, alleviating the need for data-sharing.
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Affiliation(s)
- Sarthak Pati
- Center for Biomedical Image Computing and Analytics (CBICA), University of Pennsylvania, Philadelphia, PA, USA
- Department of Radiology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA
- Department of Pathology and Laboratory Medicine, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA
- Department of Informatics, Technical University of Munich, Munich, Bavaria, Germany
| | - Ujjwal Baid
- Center for Biomedical Image Computing and Analytics (CBICA), University of Pennsylvania, Philadelphia, PA, USA
- Department of Radiology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA
- Department of Pathology and Laboratory Medicine, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA
| | | | | | | | | | | | | | | | - Christos Davatzikos
- Center for Biomedical Image Computing and Analytics (CBICA), University of Pennsylvania, Philadelphia, PA, USA
- Department of Radiology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA
| | - Chiharu Sako
- Center for Biomedical Image Computing and Analytics (CBICA), University of Pennsylvania, Philadelphia, PA, USA
- Department of Radiology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA
| | - Satyam Ghodasara
- Department of Radiology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA
| | - Michel Bilello
- Center for Biomedical Image Computing and Analytics (CBICA), University of Pennsylvania, Philadelphia, PA, USA
- Department of Radiology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA
| | - Suyash Mohan
- Center for Biomedical Image Computing and Analytics (CBICA), University of Pennsylvania, Philadelphia, PA, USA
- Department of Radiology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA
| | - Philipp Vollmuth
- Department of Neuroradiology, Heidelberg University Hospital, Heidelberg, Germany
| | - Gianluca Brugnara
- Department of Neuroradiology, Heidelberg University Hospital, Heidelberg, Germany
| | | | - Felix Sahm
- Clinical Cooperation Unit Neuropathology, German Cancer Consortium (DKTK) within the German Cancer Research Center (DKFZ), Heidelberg, Germany
- Department of Neuropathology, Heidelberg University Hospital, Heidelberg, Germany
| | - Klaus Maier-Hein
- Division of Medical Image Computing, German Cancer Research Center, Heidelberg, Germany
- Pattern Analysis and Learning Group, Department of Radiation Oncology, Heidelberg University Hospital, Heidelberg, Germany
| | - Maximilian Zenk
- Division of Medical Image Computing, German Cancer Research Center, Heidelberg, Germany
| | - Martin Bendszus
- Department of Neuroradiology, Heidelberg University Hospital, Heidelberg, Germany
| | - Wolfgang Wick
- Clinical Cooperation Unit Neuropathology, German Cancer Consortium (DKTK) within the German Cancer Research Center (DKFZ), Heidelberg, Germany
- Neurology Clinic, Heidelberg University Hospital, Heidelberg, Germany
| | - Evan Calabrese
- Department of Radiology & Biomedical Imaging, University of California San Francisco, San Francisco, CA, USA
| | - Jeffrey Rudie
- Department of Radiology & Biomedical Imaging, University of California San Francisco, San Francisco, CA, USA
| | - Javier Villanueva-Meyer
- Department of Radiology & Biomedical Imaging, University of California San Francisco, San Francisco, CA, USA
| | - Soonmee Cha
- Department of Radiology & Biomedical Imaging, University of California San Francisco, San Francisco, CA, USA
| | - Madhura Ingalhalikar
- Symbiosis Center for Medical Image Analysis, Symbiosis International University, Pune, Maharashtra, India
| | - Manali Jadhav
- Symbiosis Center for Medical Image Analysis, Symbiosis International University, Pune, Maharashtra, India
| | - Umang Pandey
- Symbiosis Center for Medical Image Analysis, Symbiosis International University, Pune, Maharashtra, India
| | - Jitender Saini
- Department of Neuroimaging and Interventional Radiology, National Institute of Mental Health and Neurosciences, Bangalore, Karnataka, India
| | - John Garrett
- Department of Radiology, School of Medicine and Public Health, University of Wisconsin, Madison, WI, USA
- Department of Medical Physics, School of Medicine and Public Health, University of Wisconsin, Madison, WI, USA
| | - Matthew Larson
- Department of Radiology, School of Medicine and Public Health, University of Wisconsin, Madison, WI, USA
| | - Robert Jeraj
- Department of Radiology, School of Medicine and Public Health, University of Wisconsin, Madison, WI, USA
- Department of Medical Physics, School of Medicine and Public Health, University of Wisconsin, Madison, WI, USA
| | - Stuart Currie
- Leeds Teaching Hospitals Trust, Department of Radiology, Leeds, UK
| | - Russell Frood
- Leeds Teaching Hospitals Trust, Department of Radiology, Leeds, UK
| | - Kavi Fatania
- Leeds Teaching Hospitals Trust, Department of Radiology, Leeds, UK
| | - Raymond Y Huang
- Department of Radiology, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA
| | - Ken Chang
- Athinoula A. Martinos Center for Biomedical Imaging, Massachusetts General Hospital, Charlestown, MA, USA
| | | | | | - Josep Puig
- Department of Radiology (IDI), Girona Biomedical Research Institute (IdIBGi), Josep Trueta University Hospital, Girona, Spain
| | - Johannes Trenkler
- Institute of Neuroradiology, Neuromed Campus (NMC), Kepler University Hospital Linz, Linz, Austria
| | - Josef Pichler
- Department of Neurooncology, Neuromed Campus (NMC), Kepler University Hospital Linz, Linz, Austria
| | - Georg Necker
- Institute of Neuroradiology, Neuromed Campus (NMC), Kepler University Hospital Linz, Linz, Austria
| | - Andreas Haunschmidt
- Institute of Neuroradiology, Neuromed Campus (NMC), Kepler University Hospital Linz, Linz, Austria
| | - Stephan Meckel
- Institute of Neuroradiology, Neuromed Campus (NMC), Kepler University Hospital Linz, Linz, Austria
- Institute of Diagnostic and Interventional Neuroradiology, RKH Klinikum Ludwigsburg, Ludwigsburg, Germany
| | - Gaurav Shukla
- Center for Biomedical Image Computing and Analytics (CBICA), University of Pennsylvania, Philadelphia, PA, USA
- Department of Radiation Oncology, Christiana Care Health System, Philadelphia, PA, USA
| | - Spencer Liem
- Sidney Kimmel Medical College, Thomas Jefferson University, Philadelphia, PA, USA
| | - Gregory S Alexander
- Department of Radiation Oncology, University of Maryland, Baltimore, MD, USA
| | - Joseph Lombardo
- Sidney Kimmel Medical College, Thomas Jefferson University, Philadelphia, PA, USA
- Department of Radiation Oncology, Sidney Kimmel Cancer Center, Thomas Jefferson University, Philadelphia, PA, USA
| | - Joshua D Palmer
- Department of Radiation Oncology, The James Cancer Hospital and Solove Research Institute, The Ohio State University Comprehensive Cancer Center, Columbus, OH, USA
| | - Adam E Flanders
- Department of Radiology, Sidney Kimmel Cancer Center, Thomas Jefferson University, Philadelphia, PA, USA
| | - Adam P Dicker
- Department of Radiation Oncology, Sidney Kimmel Cancer Center, Thomas Jefferson University, Philadelphia, PA, USA
| | - Haris I Sair
- The Russell H. Morgan Department of Radiology and Radiological Science, Johns Hopkins University School of Medicine, Baltimore, MD, USA
- The Malone Center for Engineering in Healthcare, The Whiting School of Engineering, Johns Hopkins University, Baltimore, MD, USA
| | - Craig K Jones
- The Malone Center for Engineering in Healthcare, The Whiting School of Engineering, Johns Hopkins University, Baltimore, MD, USA
| | - Archana Venkataraman
- Department of Electrical and Computer Engineering, Whiting School of Engineering, Johns Hopkins University, Baltimore, MD, USA
| | - Meirui Jiang
- The Chinese University of Hong Kong, Hong Kong, China
| | - Tiffany Y So
- The Chinese University of Hong Kong, Hong Kong, China
| | - Cheng Chen
- The Chinese University of Hong Kong, Hong Kong, China
| | | | - Qi Dou
- The Chinese University of Hong Kong, Hong Kong, China
| | - Michal Kozubek
- Centre for Biomedical Image Analysis, Faculty of Informatics, Masaryk University, Brno, Czech Republic
| | - Filip Lux
- Centre for Biomedical Image Analysis, Faculty of Informatics, Masaryk University, Brno, Czech Republic
| | - Jan Michálek
- Centre for Biomedical Image Analysis, Faculty of Informatics, Masaryk University, Brno, Czech Republic
| | - Petr Matula
- Centre for Biomedical Image Analysis, Faculty of Informatics, Masaryk University, Brno, Czech Republic
| | - Miloš Keřkovský
- Department of Radiology and Nuclear Medicine, Faculty of Medicine, Masaryk University, Brno and University Hospital Brno, Brno, Czech Republic
| | - Tereza Kopřivová
- Department of Radiology and Nuclear Medicine, Faculty of Medicine, Masaryk University, Brno and University Hospital Brno, Brno, Czech Republic
| | - Marek Dostál
- Department of Radiology and Nuclear Medicine, Faculty of Medicine, Masaryk University, Brno and University Hospital Brno, Brno, Czech Republic
- Department of Biophysics, Faculty of Medicine, Masaryk University, Brno, Czech Republic
| | - Václav Vybíhal
- Department of Neurosurgery, Faculty of Medicine, Masaryk University, Brno, and University Hospital and Czech Republic, Brno, Czech Republic
| | - Michael A Vogelbaum
- Department of Neuro Oncology, H. Lee Moffitt Cancer Center and Research Institute, Tampa, FL, USA
| | - J Ross Mitchell
- University of Alberta, Edmonton, AB, Canada
- Alberta Machine Intelligence Institute, Edmonton, AB, Canada
| | - Joaquim Farinhas
- Department of Radiology, H. Lee Moffitt Cancer Center and Research Institute, Tampa, FL, USA
| | | | | | - Marco C Pinho
- University of Texas Southwestern Medical Center, Dallas, TX, USA
| | - Divya Reddy
- University of Texas Southwestern Medical Center, Dallas, TX, USA
| | - James Holcomb
- University of Texas Southwestern Medical Center, Dallas, TX, USA
| | | | - Benjamin M Ellingson
- UCLA Brain Tumor Imaging Laboratory (BTIL), Center for Computer Vision and Imaging Biomarkers, Department of Radiological Sciences, David Geffen School of Medicine, University of California Los Angeles, Los Angeles, CA, USA
- UCLA Neuro-Oncology Program, Department of Neurology, David Geffen School of Medicine, University of California Los Angeles, Los Angeles, CaA, USA
| | - Timothy F Cloughesy
- UCLA Neuro-Oncology Program, Department of Neurology, David Geffen School of Medicine, University of California Los Angeles, Los Angeles, CaA, USA
| | - Catalina Raymond
- UCLA Brain Tumor Imaging Laboratory (BTIL), Center for Computer Vision and Imaging Biomarkers, Department of Radiological Sciences, David Geffen School of Medicine, University of California Los Angeles, Los Angeles, CA, USA
| | - Talia Oughourlian
- UCLA Brain Tumor Imaging Laboratory (BTIL), Center for Computer Vision and Imaging Biomarkers, Department of Radiological Sciences, David Geffen School of Medicine, University of California Los Angeles, Los Angeles, CA, USA
- Department of Radiological Sciences, David Geffen School of Medicine, University of California Los Angeles, Los Angeles, CA, USA
| | - Akifumi Hagiwara
- Department of Radiological Sciences, David Geffen School of Medicine, University of California Los Angeles, Los Angeles, CA, USA
| | - Chencai Wang
- Department of Radiological Sciences, David Geffen School of Medicine, University of California Los Angeles, Los Angeles, CA, USA
| | - Minh-Son To
- College of Medicine and Public Health, Flinders University, Bedford Park, SA, Australia
- Division of Surgery and Perioperative Medicine, Flinders Medical Centre, Bedford Park, SA, Australia
| | - Sargam Bhardwaj
- College of Medicine and Public Health, Flinders University, Bedford Park, SA, Australia
| | - Chee Chong
- South Australia Medical Imaging, Flinders Medical Centre, Bedford Park, SA, Australia
| | - Marc Agzarian
- South Australia Medical Imaging, Flinders Medical Centre, Bedford Park, SA, Australia
- Department of Neurology, Baylor College of Medicine, Houston, TX, USA
| | | | | | - Bernardo C A Teixeira
- Instituto de Neurologia de Curitiba, Curitiba, Paraná, Brazil
- Department of Radiology, Hospital de Clínicas da Universidade Federal do Paraná, Curitiba, Paraná, Brazil
| | - Flávia Sprenger
- Department of Radiology, Hospital de Clínicas da Universidade Federal do Paraná, Curitiba, Paraná, Brazil
| | - David Menotti
- Department of Informatics, Universidade Federal do Paraná, Curitiba, Paraná, Brazil
| | - Diego R Lucio
- Department of Informatics, Universidade Federal do Paraná, Curitiba, Paraná, Brazil
| | - Pamela LaMontagne
- Department of Radiology, Washington University in St. Louis, St. Louis, MO, USA
| | - Daniel Marcus
- Department of Radiology, Washington University in St. Louis, St. Louis, MO, USA
| | - Benedikt Wiestler
- Department of Diagnostic and Interventional Neuroradiology, School of Medicine, Klinikum rechts der Isar, Technical University of Munich, Munich, Germany
- TranslaTUM (Zentralinstitut für translationale Krebsforschung der Technischen Universität München), Klinikum rechts der Isar, Munich, Germany
| | - Florian Kofler
- Department of Diagnostic and Interventional Neuroradiology, School of Medicine, Klinikum rechts der Isar, Technical University of Munich, Munich, Germany
- TranslaTUM (Zentralinstitut für translationale Krebsforschung der Technischen Universität München), Klinikum rechts der Isar, Munich, Germany
- Image-Based Biomedical Modeling, Department of Informatics, Technical University of Munich, Munich, Germany
| | - Ivan Ezhov
- Department of Informatics, Technical University of Munich, Munich, Bavaria, Germany
- TranslaTUM (Zentralinstitut für translationale Krebsforschung der Technischen Universität München), Klinikum rechts der Isar, Munich, Germany
- Image-Based Biomedical Modeling, Department of Informatics, Technical University of Munich, Munich, Germany
| | - Marie Metz
- Department of Diagnostic and Interventional Neuroradiology, School of Medicine, Klinikum rechts der Isar, Technical University of Munich, Munich, Germany
| | - Rajan Jain
- Department of Radiology, NYU Grossman School of Medicine, New York, NY, USA
- Department of Neurosurgery, NYU Grossman School of Medicine, New York, NY, USA
| | - Matthew Lee
- Department of Radiology, NYU Grossman School of Medicine, New York, NY, USA
| | - Yvonne W Lui
- Department of Radiology, NYU Grossman School of Medicine, New York, NY, USA
| | - Richard McKinley
- Support Center for Advanced Neuroimaging, University Institute of Diagnostic and Interventional Neuroradiology, University Hospital Bern, Inselspital, University of Bern, Bern, Switzerland
| | - Johannes Slotboom
- Support Center for Advanced Neuroimaging, University Institute of Diagnostic and Interventional Neuroradiology, University Hospital Bern, Inselspital, University of Bern, Bern, Switzerland
| | - Piotr Radojewski
- Support Center for Advanced Neuroimaging, University Institute of Diagnostic and Interventional Neuroradiology, University Hospital Bern, Inselspital, University of Bern, Bern, Switzerland
| | - Raphael Meier
- Support Center for Advanced Neuroimaging, University Institute of Diagnostic and Interventional Neuroradiology, University Hospital Bern, Inselspital, University of Bern, Bern, Switzerland
| | - Roland Wiest
- Support Center for Advanced Neuroimaging, University Institute of Diagnostic and Interventional Neuroradiology, University Hospital Bern, Inselspital, University of Bern, Bern, Switzerland
| | - Derrick Murcia
- Department of Neurosurgery, Anschutz Medical Campus, University of Colorado, Aurora, CO, USA
| | - Eric Fu
- Department of Neurosurgery, Anschutz Medical Campus, University of Colorado, Aurora, CO, USA
| | - Rourke Haas
- Department of Neurosurgery, Anschutz Medical Campus, University of Colorado, Aurora, CO, USA
| | - John Thompson
- Department of Neurosurgery, Anschutz Medical Campus, University of Colorado, Aurora, CO, USA
| | - David Ryan Ormond
- Department of Neurosurgery, Anschutz Medical Campus, University of Colorado, Aurora, CO, USA
| | - Chaitra Badve
- Department of Radiology, University Hospitals Cleveland, Cleveland, OH, USA
| | - Andrew E Sloan
- Department of Neurological Surgery, University Hospitals-Seidman Cancer Center, Cleveland, OH, USA
- Case Comprehensive Cancer Center, Cleveland, OH, USA
- Department of Neurosurgery, Case Western Reserve University School of Medicine, Cleveland, OH, USA
| | - Vachan Vadmal
- Department of Neurosurgery, Case Western Reserve University School of Medicine, Cleveland, OH, USA
| | - Kristin Waite
- National Cancer Institute, National Institute of Health, Division of Cancer Epidemiology and Genetics, Bethesda, MD, USA
| | - Rivka R Colen
- Department of Radiology, Neuroradiology Division, University of Pittsburgh, Pittsburgh, PA, USA
- Department of Diagnostic Radiology, University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Linmin Pei
- University of Pittsburgh Medical Center, Pittsburgh, PA, USA
| | - Murat Ak
- Department of Radiology, Neuroradiology Division, University of Pittsburgh, Pittsburgh, PA, USA
| | - Ashok Srinivasan
- Department of Neuroradiology, University of Michigan, Ann Arbor, MI, USA
| | - J Rajiv Bapuraj
- Department of Neuroradiology, University of Michigan, Ann Arbor, MI, USA
| | - Arvind Rao
- Department of Computational Medicine and Bioinformatics, University of Michigan, Ann Arbor, MI, USA
| | - Nicholas Wang
- Department of Computational Medicine and Bioinformatics, University of Michigan, Ann Arbor, MI, USA
| | - Ota Yoshiaki
- Department of Neuroradiology, University of Michigan, Ann Arbor, MI, USA
| | - Toshio Moritani
- Department of Neuroradiology, University of Michigan, Ann Arbor, MI, USA
| | - Sevcan Turk
- Department of Neuroradiology, University of Michigan, Ann Arbor, MI, USA
| | - Joonsang Lee
- Department of Computational Medicine and Bioinformatics, University of Michigan, Ann Arbor, MI, USA
| | - Snehal Prabhudesai
- Department of Computational Medicine and Bioinformatics, University of Michigan, Ann Arbor, MI, USA
| | - Fanny Morón
- Department of Radiology, Baylor College of Medicine, Houston, TX, USA
| | - Jacob Mandel
- Department of Neurology, Baylor College of Medicine, Houston, TX, USA
| | - Konstantinos Kamnitsas
- Department of Computing, Imperial College London, London, UK
- Institute of Biomedical Engineering, Department of Engineering Science, University of Oxford, Oxford, UK
| | - Ben Glocker
- Department of Computing, Imperial College London, London, UK
| | - Luke V M Dixon
- Department of Radiology, Imperial College NHS Healthcare Trust, London, UK
| | - Matthew Williams
- Computational Oncology Group, Institute for Global Health Innovation, Imperial College London, London, UK
| | - Peter Zampakis
- Department of NeuroRadiology, University of Patras, Patras, Greece
| | | | - Panagiotis Tsiganos
- Clinical Radiology Laboratory, Department of Medicine, University of Patras, Patras, Greece
| | - Sotiris Alexiou
- Department of Electrical and Computer Engineering, University of Patras, Patras, Greece
| | - Ilias Haliassos
- Department of Neuro-Oncology, University of Patras, Patras, Greece
| | - Evangelia I Zacharaki
- Department of Electrical and Computer Engineering, University of Patras, Patras, Greece
| | | | | | | | | | | | | | - Sung Soo Ahn
- Yonsei University College of Medicine, Seoul, Korea
| | - Bing Luo
- Department of Radiation Oncology, Henry Ford Health System, Detroit, MI, USA
| | - Laila Poisson
- Public Health Sciences, Henry Ford Health System, Detroit, MI, USA
| | - Ning Wen
- Department of Radiation Oncology, Henry Ford Health System, Detroit, MI, USA
- SJTU-Ruijin-UIH Institute for Medical Imaging Technology, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, 200025, Shanghai, China
| | | | - Ruchika Verma
- Alberta Machine Intelligence Institute, Edmonton, AB, Canada
- Case Western Reserve University, Cleveland, OH, USA
| | - Rohan Bareja
- Case Western Reserve University, Cleveland, OH, USA
| | - Ipsa Yadav
- Case Western Reserve University, Cleveland, OH, USA
| | | | - Neeraj Kumar
- University of Alberta, Edmonton, AB, Canada
- Alberta Machine Intelligence Institute, Edmonton, AB, Canada
| | - Marion Smits
- Department of Radiology and Nuclear Medicine, Erasmus MC University Medical Centre Rotterdam, Rotterdam, Netherlands
| | - Sebastian R van der Voort
- Department of Radiology and Nuclear Medicine, Erasmus MC University Medical Centre Rotterdam, Rotterdam, Netherlands
| | - Ahmed Alafandi
- Department of Radiology and Nuclear Medicine, Erasmus MC University Medical Centre Rotterdam, Rotterdam, Netherlands
| | - Fatih Incekara
- Department of Radiology and Nuclear Medicine, Erasmus MC University Medical Centre Rotterdam, Rotterdam, Netherlands
- Department of Neurosurgery, Brain Tumor Center, Erasmus MC University Medical Centre Rotterdam, Rotterdam, Netherlands
| | - Maarten M J Wijnenga
- Department of Neurology, Brain Tumor Center, Erasmus MC Cancer Institute, Rotterdam, Netherlands
| | - Georgios Kapsas
- Department of Radiology and Nuclear Medicine, Erasmus MC University Medical Centre Rotterdam, Rotterdam, Netherlands
| | - Renske Gahrmann
- Department of Radiology and Nuclear Medicine, Erasmus MC University Medical Centre Rotterdam, Rotterdam, Netherlands
| | - Joost W Schouten
- Department of Neurosurgery, Brain Tumor Center, Erasmus MC University Medical Centre Rotterdam, Rotterdam, Netherlands
| | - Hendrikus J Dubbink
- Department of Pathology, Brain Tumor Center, Erasmus MC Cancer Institute, Rotterdam, Netherlands
| | - Arnaud J P E Vincent
- Department of Neurosurgery, Brain Tumor Center, Erasmus MC University Medical Centre Rotterdam, Rotterdam, Netherlands
| | - Martin J van den Bent
- Department of Neurology, Brain Tumor Center, Erasmus MC Cancer Institute, Rotterdam, Netherlands
| | - Pim J French
- Department of Neurology, Brain Tumor Center, Erasmus MC Cancer Institute, Rotterdam, Netherlands
| | - Stefan Klein
- Biomedical Imaging Group Rotterdam, Department of Radiology and Nuclear Medicine, Erasmus MC University Medical Centre Rotterdam, Rotterdam, Netherlands
| | - Yading Yuan
- Department of Radiation Oncology, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Sonam Sharma
- Department of Radiation Oncology, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Tzu-Chi Tseng
- Department of Radiation Oncology, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Saba Adabi
- Department of Radiation Oncology, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Simone P Niclou
- NORLUX Neuro-Oncology Laboratory, Department of Cancer Research, Luxembourg Institute of Health, Luxembourg, Luxembourg
| | - Olivier Keunen
- Translation Radiomics, Department of Cancer Research, Luxembourg Institute of Health, Luxembourg, Luxembourg
| | - Ann-Christin Hau
- NORLUX Neuro-Oncology Laboratory, Department of Cancer Research, Luxembourg Institute of Health, Luxembourg, Luxembourg
- Luxembourg Center of Neuropathology, Laboratoire National De Santé, Luxembourg, Luxembourg
| | - Martin Vallières
- Department of Computer Science, Université de Sherbrooke, Sherbrooke, QC, Canada
- Centre de Recherche du Centre Hospitalière Universitaire de Sherbrooke, Sherbrooke, QC, Canada
| | - David Fortin
- Centre de Recherche du Centre Hospitalière Universitaire de Sherbrooke, Sherbrooke, QC, Canada
- Division of Neurosurgery and Neuro-Oncology, Faculty of Medicine and Health Science, Université de Sherbrooke, Sherbrooke, QC, Canada
| | - Martin Lepage
- Centre de Recherche du Centre Hospitalière Universitaire de Sherbrooke, Sherbrooke, QC, Canada
- Department of Nuclear Medicine and Radiobiology, Sherbrooke Molecular Imaging Centre, Université de Sherbrooke, Sherbrooke, QC, Canada
| | - Bennett Landman
- Electrical and Computer Engineering, Vanderbilt University, Nashville, TN, USA
| | - Karthik Ramadass
- Electrical and Computer Engineering, Vanderbilt University, Nashville, TN, USA
| | - Kaiwen Xu
- Department of Computer Science, Vanderbilt University, Nashville, TN, USA
| | - Silky Chotai
- Department of Neurosurgery, Vanderbilt University Medical Center, Nashville, TN, USA
| | - Lola B Chambless
- Department of Neurosurgery, Vanderbilt University Medical Center, Nashville, TN, USA
| | - Akshitkumar Mistry
- Department of Neurosurgery, Vanderbilt University Medical Center, Nashville, TN, USA
| | - Reid C Thompson
- Department of Neurosurgery, Vanderbilt University Medical Center, Nashville, TN, USA
| | - Yuriy Gusev
- Innovation Center for Biomedical Informatics (ICBI), Georgetown University, Washington, DC, USA
| | - Krithika Bhuvaneshwar
- Innovation Center for Biomedical Informatics (ICBI), Georgetown University, Washington, DC, USA
| | - Anousheh Sayah
- Division of Neuroradiology & Neurointerventional Radiology, Department of Radiology, MedStar Georgetown University Hospital, Washington, DC, USA
| | - Camelia Bencheqroun
- Innovation Center for Biomedical Informatics (ICBI), Georgetown University, Washington, DC, USA
| | - Anas Belouali
- Innovation Center for Biomedical Informatics (ICBI), Georgetown University, Washington, DC, USA
| | - Subha Madhavan
- Innovation Center for Biomedical Informatics (ICBI), Georgetown University, Washington, DC, USA
| | - Thomas C Booth
- School of Biomedical Engineering & Imaging Sciences, King's College London, London, UK
- Department of Neuroradiology, Ruskin Wing, King's College Hospital NHS Foundation Trust, London, UK
| | - Alysha Chelliah
- School of Biomedical Engineering & Imaging Sciences, King's College London, London, UK
| | - Marc Modat
- School of Biomedical Engineering & Imaging Sciences, King's College London, London, UK
| | - Haris Shuaib
- Stoke Mandeville Hospital, Mandeville Road, Aylesbury, UK
- Department of Biomedical and Molecular Sciences, Queen's University, Kingston, ON, Canada
| | - Carmen Dragos
- Stoke Mandeville Hospital, Mandeville Road, Aylesbury, UK
| | | | | | | | | | - Shady Gamal
- University of Cairo School of Medicine, Giza, Egypt
| | | | | | | | - Ji Eun Park
- Department of Radiology, Asan Medical Center, Seoul, South Korea
| | - Jihye Yun
- Department of Radiology, Asan Medical Center, Seoul, South Korea
| | - Ho Sung Kim
- Department of Radiology, Asan Medical Center, Seoul, South Korea
| | - Abhishek Mahajan
- The Clatterbridge Cancer Centre NHS Foundation Trust Pembroke Place, Liverpool, UK
| | - Mark Muzi
- Department of Radiology, University of Washington, Seattle, WA, USA
| | - Sean Benson
- Netherlands Cancer Institute, Amsterdam, Netherlands
| | - Regina G H Beets-Tan
- Department of Radiology, Netherlands Cancer Institute, Amsterdam, Netherlands
- GROW School of Oncology and Developmental Biology, Maastricht, Netherlands
| | - Jonas Teuwen
- Netherlands Cancer Institute, Amsterdam, Netherlands
| | | | | | - William Escobar
- Clínica Imbanaco Grupo Quirón Salud, Cali, Colombia
- Universidad del Valle, Cali, Colombia
| | | | - Jose Bernal
- Universidad del Valle, Cali, Colombia
- The University of Edinburgh, Edinburgh, UK
| | | | - Joseph Choi
- Department of Industrial and Systems Engineering, University of Iowa, Iowa, USA
| | - Stephen Baek
- Department of Industrial and Systems Engineering, Department of Radiation Oncology, University of Iowa, Iowa City, IA, USA
| | - Yusung Kim
- Department of Radiation Oncology, University of Iowa, Iowa City, IA, USA
| | - Heba Ismael
- Department of Radiation Oncology, University of Iowa, Iowa City, IA, USA
| | - Bryan Allen
- Department of Radiation Oncology, University of Iowa, Iowa City, IA, USA
| | - John M Buatti
- Department of Radiation Oncology, University of Iowa, Iowa City, IA, USA
| | | | - Hongwei Li
- Department of Quantitative Biomedicine, University of Zurich, Zurich, Switzerland
| | - Tobias Weiss
- Department of Neurology, Clinical Neuroscience Center, University Hospital Zurich and University of Zurich, Zurich, Switzerland
| | - Michael Weller
- Department of Neurology, Clinical Neuroscience Center, University Hospital Zurich and University of Zurich, Zurich, Switzerland
| | - Andrea Bink
- Department of Neuroradiology, Clinical Neuroscience Center, University Hospital Zurich and University of Zurich, Zurich, Switzerland
| | - Bertrand Pouymayou
- Department of Neuroradiology, Clinical Neuroscience Center, University Hospital Zurich and University of Zurich, Zurich, Switzerland
| | | | - Joel Saltz
- Department of Biomedical Informatics, Stony Brook University, Stony Brook, New York, USA
| | - Prateek Prasanna
- Department of Biomedical Informatics, Stony Brook University, Stony Brook, New York, USA
| | - Sampurna Shrestha
- Department of Biomedical Informatics, Stony Brook University, Stony Brook, New York, USA
| | - Kartik M Mani
- Department of Biomedical Informatics, Stony Brook University, Stony Brook, New York, USA
- Department of Radiation Oncology, Stony Brook University, Stony Brook, NY, USA
| | - David Payne
- Department of Radiology, Stony Brook University, Stony Brook, NY, USA
| | - Tahsin Kurc
- Department of Biomedical Informatics, Stony Brook University, Stony Brook, New York, USA
- Scientific Data Group, Oak Ridge National Laboratory, Oak Ridge, TN, USA
| | - Enrique Pelaez
- Escuela Superior Politecnica del Litoral, Guayaquil, Guayas, Ecuador
| | | | - Francis Loayza
- Escuela Superior Politecnica del Litoral, Guayaquil, Guayas, Ecuador
| | | | | | | | | | - Franco Vera
- Universidad de Concepción, Concepción, Biobío, Chile
| | - Elvis Ríos
- Universidad de Concepción, Concepción, Biobío, Chile
| | - Eduardo López
- Universidad de Concepción, Concepción, Biobío, Chile
| | - Sergio A Velastin
- School of Electronic Engineering and Computer Science, Queen Mary University of London, London, UK
| | - Godwin Ogbole
- Department of Radiology, University College Hospital Ibadan, Oyo, Nigeria
| | - Mayowa Soneye
- Department of Radiology, University College Hospital Ibadan, Oyo, Nigeria
| | - Dotun Oyekunle
- Department of Radiology, University College Hospital Ibadan, Oyo, Nigeria
| | | | - Babatunde Osobu
- Department of Radiology, University College Hospital Ibadan, Oyo, Nigeria
| | - Mustapha Shu'aibu
- Department of Radiology, Muhammad Abdullahi Wase Teaching Hospital, Kano, Nigeria
| | - Adeleye Dorcas
- Department of Radiology, Obafemi Awolowo University Ile-Ife, Ile-Ife, Osun, Nigeria
| | - Farouk Dako
- Department of Radiology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA
- Center for Global Health, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA
| | - Amber L Simpson
- Department of Biomedical and Molecular Sciences, Queen's University, Kingston, ON, Canada
- School of Computing, Queen's University, Kingston, ON, Canada
| | - Mohammad Hamghalam
- School of Computing, Queen's University, Kingston, ON, Canada
- Department of Electrical Engineering, Qazvin Branch, Islamic Azad University, Qazvin, Iran
| | - Jacob J Peoples
- School of Computing, Queen's University, Kingston, ON, Canada
| | - Ricky Hu
- School of Computing, Queen's University, Kingston, ON, Canada
| | - Anh Tran
- School of Computing, Queen's University, Kingston, ON, Canada
| | - Danielle Cutler
- The Faculty of Arts & Sciences, Queen's University, Kingston, ON, Canada
| | - Fabio Y Moraes
- Department of Oncology, Queen's University, Kingston, ON, Canada
| | - Michael A Boss
- Center for Research and Innovation, American College of Radiology, Philadelphia, PA, USA
| | - James Gimpel
- Center for Research and Innovation, American College of Radiology, Philadelphia, PA, USA
| | - Deepak Kattil Veettil
- Center for Research and Innovation, American College of Radiology, Philadelphia, PA, USA
| | - Kendall Schmidt
- Data Science Institute, American College of Radiology, Reston, VA, USA
| | - Brian Bialecki
- Data Science Institute, American College of Radiology, Reston, VA, USA
| | - Sailaja Marella
- Center for Research and Innovation, American College of Radiology, Philadelphia, PA, USA
| | - Cynthia Price
- Center for Research and Innovation, American College of Radiology, Philadelphia, PA, USA
| | - Lisa Cimino
- Center for Research and Innovation, American College of Radiology, Philadelphia, PA, USA
| | - Charles Apgar
- Center for Research and Innovation, American College of Radiology, Philadelphia, PA, USA
| | | | - Bjoern Menze
- Department of Informatics, Technical University of Munich, Munich, Bavaria, Germany
- Department of Quantitative Biomedicine, University of Zurich, Zurich, Switzerland
| | - Jill S Barnholtz-Sloan
- National Cancer Institute, National Institute of Health, Division of Cancer Epidemiology and Genetics, Bethesda, MD, USA
- Center for Biomedical Informatics and Information Technology, National Cancer Institute (NCI), National Institute of Health, Bethesda, MD, USA
| | | | - Spyridon Bakas
- Center for Biomedical Image Computing and Analytics (CBICA), University of Pennsylvania, Philadelphia, PA, USA.
- Department of Radiology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA.
- Department of Pathology and Laboratory Medicine, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA.
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Dimitroukas C, Metaxas V, Efthymiou F, Kalogeropoulou C, Zampakis P, Panayiotakis G. EVALUATION OF PATIENT RADIATION DOSE DUE TO THE SCANNER’S INHERENT OVER-RANGING DURING HELICAL CT IMAGING OF PARATHYROID GLANDS. Phys Med 2022. [DOI: 10.1016/s1120-1797(22)03121-0] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/24/2022] Open
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9
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Saranti G, Zolota V, Kalogeropoulou C, Papathanasiou N, Katsila T, Kitsou K, Haliassos I, Kardamakis D. Diagnostic and Therapeutic Challenges in a Patient with Ureteral Metastases from a Triple Negative Breast Cancer. Curr Oncol 2022; 29:4791-4798. [PMID: 35877240 PMCID: PMC9323522 DOI: 10.3390/curroncol29070380] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/10/2022] [Revised: 07/01/2022] [Accepted: 07/03/2022] [Indexed: 11/27/2022] Open
Abstract
Metastatic ureteral tumors arising from a primary breast carcinoma are extremely rare. They present with hematuria and radiological findings compatible with obstructive ureteral phenomena. We present a case of an 87-year-old woman with a history of lymphoma and triple negative breast cancer (TNBC), during an emergency admission for peptic ulcer, developed macroscopic hematuria. Radiologic and endoscopic investigations revealed a remarkable stenosis at the lower segment of the right ureter, attributed to metastases from her breast carcinoma. We report this case with the aim to make both oncologists and urologists aware of this rare condition.
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Affiliation(s)
- Georgia Saranti
- Department of Radiation Oncology, University Hospital of Patras, University Campus, 26504 Patras, Greece; (G.S.); (I.H.)
| | - Vasiliki Zolota
- Department of Histopathology, University Hospital of Patras, University Campus, 26504 Patras, Greece;
| | - Christina Kalogeropoulou
- Department of Radiology, University Hospital of Patras, University Campus, 26504 Patras, Greece;
| | - Nikolaos Papathanasiou
- Department of Nuclear Medicine, University Hospital of Patras, University Campus, 26504 Patras, Greece;
| | - Theodora Katsila
- Institute of Chemical Biology, National Hellenic Research Foundation, 11635 Athens, Greece;
| | - Konstantina Kitsou
- Department of Hygiene and Epidemiology, University of Patras Medical School, 26504 Patras, Greece;
| | - Ilias Haliassos
- Department of Radiation Oncology, University Hospital of Patras, University Campus, 26504 Patras, Greece; (G.S.); (I.H.)
| | - Dimitrios Kardamakis
- Department of Radiation Oncology, University Hospital of Patras, University Campus, 26504 Patras, Greece; (G.S.); (I.H.)
- Correspondence: ; Tel.: +30-6999-424273
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10
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Adamou C, Tsaturyan A, Kalogeropoulou C, Tzelepi V, Apostolopoulos D, Vretos T, Pagonis K, Peteinaris A, Liatsikos E, Kallidonis P. Comparison of renal parenchymal trauma after standard, mini and ultra-mini percutaneous tract dilation in porcine models. World J Urol 2022; 40:2083-2089. [PMID: 35751669 DOI: 10.1007/s00345-022-04069-1] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/14/2022] [Accepted: 06/01/2022] [Indexed: 11/28/2022] Open
Abstract
OBJECTIVE To evaluate whether reducing tract dilation diameter in PCNL (percutaneous nephrolithotomy) procedures results in minimizing of renal trauma of the percutaneous tract. METHODS A percutaneous renal access tract was established bilaterally to 11 pigs. Two pigs were euthanized immediately after the experiment, while nine pigs were sacrificed 1 month later. The percutaneous accesses were dilated up to 30Fr, 22Fr or 12Fr. The animals underwent a contrast-enhanced computer tomography immediately after the procedure and 30 days later. DMSA-scintigraphy with SPECT-CT was also performed. The kidneys of all animals were harvested for histological evaluation. The volume of scar tissue and the percentage of renal volume replaced by scar tissue were calculated. RESULTS Immediate post-procedural CT-scans revealed a significant difference in defect diameter among the three modalities. However, the scar volume calculated on CT-images and histopathology showed a significant difference only when 30Fr dilation was compared to 12Fr dilation. The percentage of scar volume was negligible in all cases, but there was still a statistical difference between 30 and 12Fr dilation. Dilation up to 22Fr revealed no statistical differences compared to the other two modalities. DMSA-scintigraphy showed no scar tissue in any case. CONCLUSION Dilation up to 30Fr may cause a significantly larger scar tissue on renal parenchyma compared to 12Fr dilation as it was shown on CT-images and microscopic evaluation, but based on the DMSA/SPECT-CT this difference seems to be insignificant to the renal function. The scar tissue caused by 22Fr dilation seemed to have no significant difference from the other modalities.
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Affiliation(s)
| | - Arman Tsaturyan
- Department of Urology, University Hospital of Patras, Patras, Greece
| | | | - Vasiliki Tzelepi
- Department of Pathology, University Hospital of Patras, Patras, Greece
| | | | - Theofanis Vretos
- Department of Anesthesiology and Intensive Care, University Hospital of Patras, Patras, Greece
| | | | | | - Evangelos Liatsikos
- Department of Urology, University Hospital of Patras, Patras, Greece.,Department of Urology, Medical University of Vienna, Vienna, Austria.,Institute for Urology and Reproductive Health, Sechenov University, Moscow, Russia
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11
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Sampsonas F, Lagadinou M, Kalogeropoulou C, Karamouzos V, Dionysopoulos K, Velissaris D, Karampitsakos T, Papaioannou O, Zarkadi E, Malakounidou E, Katsaras M, Stratakos G, Zampakis P, Marangos M, Tzouvelekis A. CTPA imaging findings, beyond pulmonary embolism, in patients with Severe Acute Respiratory Syndrome Corona Virus-2 infection and their relation to clinical outcome - a single center experience. Eur Rev Med Pharmacol Sci 2022; 26:4520-4527. [PMID: 35776053 DOI: 10.26355/eurrev_202206_29091] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Subscribe] [Scholar Register] [Indexed: 03/31/2023]
Abstract
OBJECTIVE The aim of our study was to investigate a potential association between the severity of COVID-19 disease and related 28-day mortality, with the presence of mediastinal lymphadenopathy, the extension of lung parenchymal infiltrates, the presence of pulmonary embolism, the density and distribution of mediastinal and subcutaneous fat, the inflammatory markers and the direct and indirect radiological signs of right heart overload and strain. PATIENTS AND METHODS We retrospectively included patients diagnosed with SARS-CoV-2 infection, who were admitted to the Departments of Internal and Respiratory Medicine of Patras University Hospital during the second pandemic wave (February 2021 up to July 2021) and underwent CTPA for routine diagnostic workup. Demographic characteristics, routine laboratory, radiological parameters and 28-day mortality were also recorded. RESULTS Fifty-three consecutive patients were included. The mean age was 64.47±17.1 years and 64,1% (n=34) were males. Pulmonary embolism (PE) (p=0.019), Right Ventricle-to-Left Ventricle Diameter (RV/LV) Ratio>1 (p<0.01), Reverse Flow in Hepatic Veins (RFHV) (p=0.019), higher density in subcutaneous fat (-99 HU vs. -104HU, p=0.016), increased Lactic Dehydrogenase (LDH), Polymorphonuclear cells (PMN), ferritin, and d-dimer levels (534 vs. 367 U/L, p=0.001, 9220 vs. 5660 Κ/μL, p=001, 956 vs. 360 ng/ml, p=0.005 and 2300 vs. 1040 μg/ml, p=0.003, respectively) were statistically significant related with worse 28-day mortality. Binomial multivariate regression analysis revealed that only RV/LV diameter>1, higher subcutaneous fat density and higher LDH values were independently associated with increased 28-day mortality (OR: 82.9, 95%CI: 1.334-5158, p=0.036, OR: 1.2, 95%CI: 1.016-1.426, p=0.032 and OR:1.016, 95% CI:1.004-1.029, p=0.011, respectively). Subgroup analysis revealed that mediastinal lymph node enlargement (EML) and PE were associated to increased Pulmonary Disease Severity Index (PDSI) score (p=0.042 and p=0.007, respectively), but not to mortality. CONCLUSIONS Our study showed that right heart strain as depicted by a RV/LV diameter>1, higher subcutaneous fat density and higher LDH values are independently associated with an increased 28-day mortality in our SARS-COV2 patient group.
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Affiliation(s)
- F Sampsonas
- Respiratory Medicine Department, University Hospital of Patras, Patras, Greece.
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12
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Dimitroukas CP, Metaxas V, Efthymiou F, Zampakis P, Kalogeropoulou C, Panayiotakis G. Organs' absorbed dose and comparison of different methods for effective dose calculation in computed tomography of parathyroid glands. Biomed Phys Eng Express 2022; 8. [PMID: 35593909 DOI: 10.1088/2057-1976/ac7169] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/11/2022] [Accepted: 05/19/2022] [Indexed: 11/12/2022]
Abstract
Objective:To estimate organs' absorbed dose from the two-phase CT of parathyroid glands, effective dose (ED) based on three different methods, and compare the dose values with those reported by other published protocols.Methods:Volumetric-computed-tomography-dose-index (CTDIvol), dose-length-product (DLP), and the corresponding scan length during each phase of a parathyroid protocol were recorded, for seventy-six patients. One k-factor, and two different k-factors for the neck and chest area were used to estimate the ED from DLP. A Monte Carlo software, VirtualDoseCT, was also used for the estimation of organs' absorbed dose and ED.Results:Two-phase parathyroid CT resulted in a mean ED of 3.93 mSv, 4.29 mSv and 4.21 mSv according to the one k-factor, two k-factors, and VirtualDoseCT methods, respectively. The two k-factors method resulted in a slight overestimation of 1.9% in total ED compared to VirtualDoseCT. No statistically significant difference was found in ED values between these methods (Wilcoxon test, p>0.05), except for female patients in the pre-contrast phase. The organs inside the SFOV received the following doses: thymus 23.3 mGy, lungs 11.5 mGy, oesophagus 9.2 mGy, thyroid 6.9 mGy, and breast 6.3 mGy. The ED and organs' dose (OD) values were significantly lower in the pre-contrast than in the arterial phase (Wilcoxon test, p<0.001). A statistically significant difference was observed between male and female patients for the pre-contrast phase (Mann-Whitney test, p<0.05), regarding the ED values obtained with the two k-factors method and VirtualDoseCT software.Conclusions:The two k-factors method could be applied for the ED estimation in clinical practice, if appropriate software is not available. An extensive range of ED values derived from the literature, mainly depending on the acquisition protocol parameters and the estimation method.
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Affiliation(s)
- Christos P Dimitroukas
- Department of Medical Physics, University of Patras, School of Medicine, Patra, 26504, GREECE
| | - Vasileios Metaxas
- University of Patras, Department of Medical Physics, Patra, Periféria Dhitikís Elládh, 26504, GREECE
| | - Fotios Efthymiou
- University of Patras, Department of Medical Physics, Patra, Periféria Dhitikís Elládh, 26504, GREECE
| | - Petros Zampakis
- Department of Radiology, University of Patras, School of Medicine, Patra, Periféria Dhitikís Elládh, 26504, GREECE
| | - Christina Kalogeropoulou
- Department of Radiology, University of Patras, School of Medicine, Patra, Periféria Dhitikís Elládh, 26504, GREECE
| | - George Panayiotakis
- Department of Medical Physics, University of Patras, School of Medicine, Patra, 26504, GREECE
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Eforakopoulos F, Koletsis E, Moulakakis KG, Charokopos N, Zampakis P, Kalogeropoulou C, Dougenis D. Antegrade endograft deployment with supra-aortic debranching to treat arch and descending thoracic aortic lesions. A single-center experience. Ann Vasc Surg 2022; 85:331-340. [PMID: 35395374 DOI: 10.1016/j.avsg.2022.03.023] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/25/2022] [Revised: 03/19/2022] [Accepted: 03/21/2022] [Indexed: 11/29/2022]
Abstract
BACKGROUND Thoracic endovascular aortic repair (TEVAR) is a widely used procedure that has drastically changed the management of thoracic aortic diseases. We assess the effectiveness of supra-aortic debranching during antegrade TEVAR procedures with a retrospective analysis of our clinical experience METHODS: Between December 2005 and April 2017, 55 patients underwent 64 TEVAR procedures. Among them, there were 8 male patients, mean age 72, who underwent hybrid antegrade stent-graft deployment. Particularly, for degenerative aneurysms of the aortic arch 3 patients, for aneurysm of descending thoracic aorta 3, for post-traumatic pseudoaneurysm 1 and for penetrating aortic ulcer 1 which had resulted in an aortoesophageal fistula. Proximal landing zones were Z0:1, Z1:3 and Z2:4. Type I hybrid aortic arch repair was performed in 1 case, carotid-carotid bypass in 2, carotid-subclavian in 5 and aorto-carotid in 1. RESULTS The 30-day postoperative mortality was 12,5%. One patient suffered a temporary right hemiplegia which resolved after left aorto-carotid bypass. No endoleaks were observed postoperatively and in follow-up period. In the long term and a mean follow-up of 4.9 years, there were no deaths related to the stent-graft implantation or to revascularization procedures. Regarding the aortic arch rerouting procedure, there were no pseudoaneurysm or other anastomotic events. CONCLUSION Antegrade delivery of the endograft, combined with hybrid and revascularization procedures of the supra-aortic vessels is a safe treatment modality, in complex hostile anatomies. However, further improvements are recommended due to the presence of neurologic complications and reinterventions.
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Affiliation(s)
| | | | | | | | - Petros Zampakis
- Department of Radiology, University of Patras, Patras Greece
| | | | - Dimitrios Dougenis
- Department of Cardiac Surgery, School of Medicine, National and Kapodistrian University of Athens, Attikon University Hospital, Athens Greece
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14
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Karampitsakos T, Kalogeropoulou C, Tzilas V, Papaioannou O, Kazantzi A, Koukaki E, Katsaras M, Bouros E, Tsiri P, Tsirikos G, Zarkadi E, Ntoulias N, Sotiropoulou V, Efthymiou P, Chrysikos S, Malakounidou E, Sampsonas F, Bouros D, Tzouvelekis A. Safety and Effectiveness of Mycophenolate Mofetil in Interstitial Lung Diseases: Insights from a Machine Learning Radiographic Model. Respiration 2021; 101:262-271. [PMID: 34592744 DOI: 10.1159/000519215] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/14/2021] [Accepted: 08/13/2021] [Indexed: 11/19/2022] Open
Abstract
INTRODUCTION Treatment of interstitial lung diseases (ILDs) other than idiopathic pulmonary fibrosis (IPF) often includes systemic corticosteroids. Use of steroid-sparing agents is amenable to avoid potential side effects. METHODS Functional indices and high-resolution computed tomography (HRCT) patterns of patients with non-IPF ILDs receiving mycophenolate mofetil (MMF) with a minimum follow-up of 1 year were analyzed. Two independent radiologists and a machine learning software system (Imbio 1.4.2.) evaluated HRCT patterns. RESULTS Fifty-five (n = 55) patients were included in the analysis (male: 30 [55%], median age: 65.0 [95% CI: 59.7-70.0], mean forced vital capacity %predicted [FVC %pred.] ± standard deviation [SD]: 69.4 ± 18.3, mean diffusing capacity of lung for carbon monoxide %pred. ± SD: 40.8 ± 14.3, hypersensitivity pneumonitis: 26, connective tissue disease-ILDs [CTD-ILDs]: 22, other ILDs: 7). There was no significant difference in mean FVC %pred. post-6 months (1.59 ± 2.04) and 1 year (-0.39 ± 2.49) of treatment compared to baseline. Radiographic evaluation showed no significant difference between baseline and post-1 year %ground glass opacities (20.0 [95% CI: 14.4-30.0] vs. 20.0 [95% CI: 14.4-25.6]) and %reticulation (5.0 [95% CI: 2.0-15.6] vs. 7.5 [95% CI: 2.0-17.5]). A similar performance between expert radiologists and Imbio software analysis was observed in assessing ground glass opacities (intraclass correlation coefficient [ICC] = 0.73) and reticulation (ICC = 0.88). Fourteen patients (25.5%) reported at least one side effect and 8 patients (14.5%) switched to antifibrotics due to disease progression. CONCLUSION Our data suggest that MMF is a safe and effective steroid-sparing agent leading to disease stabilization in a proportion of patients with non-IPF ILDs. Machine learning software systems may exhibit similar performance to specialist radiologists and represent fruitful diagnostic and prognostic tools.
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Affiliation(s)
| | | | - Vasilios Tzilas
- First Academic Department of Pneumonology, Medical School, National and Kapodistrian University of Athens, Athens, Greece.,Athens Medical Center, Athens, Greece
| | - Ourania Papaioannou
- Department of Respiratory Medicine, University Hospital of Patras, Patras, Greece
| | | | - Evangelia Koukaki
- First Academic Department of Pneumonology, Medical School, National and Kapodistrian University of Athens, Athens, Greece
| | - Matthaios Katsaras
- Department of Respiratory Medicine, University Hospital of Patras, Patras, Greece
| | - Evangelos Bouros
- First Academic Department of Pneumonology, Medical School, National and Kapodistrian University of Athens, Athens, Greece.,Athens Medical Center, Athens, Greece
| | - Panagiota Tsiri
- Department of Respiratory Medicine, University Hospital of Patras, Patras, Greece
| | - Georgios Tsirikos
- Department of Respiratory Medicine, University Hospital of Patras, Patras, Greece
| | - Eirini Zarkadi
- Department of Respiratory Medicine, University Hospital of Patras, Patras, Greece
| | - Nikolaos Ntoulias
- Department of Respiratory Medicine, University Hospital of Patras, Patras, Greece
| | | | - Panagiotis Efthymiou
- Department of Respiratory Medicine, University Hospital of Patras, Patras, Greece
| | - Serafeim Chrysikos
- 5th Department of Pneumonology, Hospital for Thoracic Diseases "SOTIRIA,", Athens, Greece
| | - Elli Malakounidou
- Department of Respiratory Medicine, University Hospital of Patras, Patras, Greece
| | - Fotios Sampsonas
- Department of Respiratory Medicine, University Hospital of Patras, Patras, Greece
| | - Demosthenes Bouros
- First Academic Department of Pneumonology, Medical School, National and Kapodistrian University of Athens, Athens, Greece.,Athens Medical Center, Athens, Greece
| | - Argyrios Tzouvelekis
- Department of Respiratory Medicine, University Hospital of Patras, Patras, Greece
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15
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Daoussis D, Leonidou L, Kalogeropoulou C, Paliogianni F, Tzouvelekis A. Protracted severe COVID-19 pneumonia following rituximab treatment: caution needed. Rheumatol Int 2021; 41:1839-1843. [PMID: 34409510 PMCID: PMC8373601 DOI: 10.1007/s00296-021-04969-2] [Citation(s) in RCA: 7] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/09/2021] [Accepted: 08/07/2021] [Indexed: 11/30/2022]
Abstract
The outcomes of COVID-19 in patients treated with biologic agents are a subject of intense investigation. Recent data indicated that patients under rituximab (RTX) may carry an increased risk of serious disease. We performed an electronic search in Medline and Scopus using the keywords rituximab and COVID-19. We present a rare case of severe, protracted COVID-19 pneumonia in a patient with mixed connective tissue disease (MCTD) who was infected a few days following RTX treatment. In a relevant literature search, we identified 18 cases of patients with rheumatic diseases (6 RA, 8 ANCA vasculitis, 3 systemic sclerosis and 1 polymyositis) treated with RTX who experienced an atypical and/or prolonged course of COVID-19 pneumonia with no evidence of cytokine storm. Our case indicates that RTX may unfavorably affect outcomes following SARS-CoV-2 infection. B cell depletion may dampen the humoral response against the virus; we may hypothesize that B cell-depleted patients may be protected from cytokine storm but on the other hand may have difficulties in virus clearance leading to a protracted course. Taking into account that COVID-19 vaccines are available we may consider delaying RTX infusions at least in patients without life threatening disease, until vaccination is completed.
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Affiliation(s)
- Dimitrios Daoussis
- Division of Rheumatology, Department of Internal Medicine, Patras University Hospital, University of Patras Medical School, Rion, 26504, Patras, Greece.
| | - Lydia Leonidou
- Department of Infectious Diseases, Patras University Hospital, University of Patras Medical School, Patras, Greece
| | - Christina Kalogeropoulou
- Department of Radiology, Patras University Hospital, University of Patras Medical School, Patras, Greece
| | - Fotini Paliogianni
- Department of Microbiology, Patras University Hospital, University of Patras Medical School, Patras, Greece
| | - Argyrios Tzouvelekis
- Department of Pneumonology, Patras University Hospital, University of Patras Medical School, Patras, Greece
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16
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Zampakis P, Panagiotopoulos V, Kalogeropoulou C, Karachaliou M, Aretha D, Sioulas N, Dimoulia S, Karnabatidis D, Fligou F. Computed tomography angiography scoring systems and the role of skull defects in the confirmation of brain death. Sci Rep 2021; 11:15081. [PMID: 34302043 PMCID: PMC8302591 DOI: 10.1038/s41598-021-94763-8] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/06/2021] [Accepted: 07/15/2021] [Indexed: 01/07/2023] Open
Abstract
To assess and compare all current computed tomography angiography (CTA) scoring systems for the diagnostic workup of brain death (BD) to digital subtraction angiography (DSA) and clinical tests. Fifty-two patients with a clinical suspicion of BD underwent CTA and subsequently DSA. The diagnostic performance of all current CTA scoring systems was compared to that of DSA, in all patients with a suspicion of BD. A comparison to clinical tests was made only in DSA-positive for BD patients (n = 49), since in DSA-negative BD patients (n = 3) clinical tests were not performed. Further subgroup analysis was performed in relation to skull defects (SDs) stratification. Statistical analysis was conducted by applying statistics-contingency tables, Cochran's-Q test and McNemar's test. The CTA -10, and -7- and all 4-point scoring systems, showed overall sensitivities of 81,6%, 87.8% and 95.9% respectively and 100% specificity, when compared to DSA. In patients with a clinical verification of BD, the CTA -10 and -7-point scoring systems were significantly inferior to clinical tests (p = 0.004 and p = 0.031), while the 4-point scoring systems showed no such difference (p = 0.5). All 4-point scoring systems showed 100% sensitivity in patients with a minor SD or no SD. In patients with a major SD, all CTA scoring systems (- 10, - 7- and all 4-point) were less sensitive (62.5%, 62.5% and 75% respectively). The presence of a major SD was associated with an 8 × relative risk for false negative results in all 4-point scoring systems. CTA showed excellent diagnostic performance in patients with a suspicion of BD. The 4-point CTA scoring systems are the most sensitive for the diagnosis of BD, although in patients with a major SD patient, the role of CTA is ambiguous.
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Affiliation(s)
- Petros Zampakis
- Department of Radiology, University Hospital of Patras GR, 265 04, Patras, Greece.
| | | | | | - Maria Karachaliou
- Department of Radiology, University Hospital of Patras GR, 265 04, Patras, Greece
| | - Diamanto Aretha
- Department of Anesthesiology and Intensive Care Medicine, University Hospital of Patras. GR, 265 04, Patras, Greece
| | - Nektarios Sioulas
- Department of Anesthesiology and Intensive Care Medicine, University Hospital of Patras. GR, 265 04, Patras, Greece
| | - Sofia Dimoulia
- Department of Radiology, University Hospital of Patras GR, 265 04, Patras, Greece
| | | | - Fotini Fligou
- Department of Anesthesiology and Intensive Care Medicine, University Hospital of Patras. GR, 265 04, Patras, Greece
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17
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Kakoullis L, Sampsonas F, Karamouzos V, Kyriakou G, Parperis K, Papachristodoulou E, Christophi C, Lykouras D, Kalogeropoulou C, Daoussis D, Panos G, Velissaris D, Karkoulias K, Spiropoulos K. The impact of osteoporosis and vertebral compression fractures on mortality and association with pulmonary function in COPD: A meta-analysis. Joint Bone Spine 2021; 89:105249. [PMID: 34265476 DOI: 10.1016/j.jbspin.2021.105249] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/05/2021] [Accepted: 06/29/2021] [Indexed: 01/08/2023]
Abstract
OBJECTIVE Osteoporosis is highly prevalent among patients with chronic obstructive pulmonary disease (COPD) and most commonly presents as a vertebral compression fracture (VCF). Our objective was to quantify the effect of osteoporosis and VCFs on the mortality and pulmonary function tests (PFTs), such as forced expiratory volume in 1 second (FEV1) and forced vital capacity (FVC), of patients with COPD. METHODS A PubMed/Medline search was conducted using the search terms "chronic obstructive pulmonary disease", "osteoporosis" and "vertebral compression fracture". Meta-analyses were conducted to evaluate the differences in mortality and PFTs between patients with COPD with and without osteoporosis or VCFs, according to PRISMA guidelines. PROSPERO registration: CRD42019120335. RESULTS Of the 896 abstracts identified, 27 studies describing 7662 patients with COPD of which 1883 (24.6%) had osteoporosis or VCFs, were included. Random effects model analysis demonstrated that patients with COPD and osteoporosis or VCFs had an increased OR for mortality of 2.40 (95% CI: 1.24; 4.64, I2=89%, P<0.01), decreased FEV1/FVC with a mean difference of -4.80% (95% CI: -6.69; -2.90, I2=83%, P<0.01) and decreased FEV1, with a mean difference of -4.91% (95% CI: -6.51; -3.31, I2=95%, P<0.01) and -0.41 L (95% CI: -0.59; -0.24, I2=97%, P<0.01), compared to control subjects. Apart from FEV1 (liters) in subgroup 1 (P=0.06), all subgroup analyses found significant differences between groups, as did sensitivity analysis of low risk of bias studies. CONCLUSION Osteoporosis and VCFs are associated with a significant reduction in survival and pulmonary function among patients with COPD.
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Affiliation(s)
- Loukas Kakoullis
- Department of Respiratory Medicine, University General Hospital of Patras, Patras, Greece.
| | - Fotios Sampsonas
- Department of Respiratory Medicine, University General Hospital of Patras, Patras, Greece
| | | | - George Kyriakou
- Department of Medicine, University of Patras School of Health Sciences, Patras, Greece
| | - Konstantinos Parperis
- Department of Internal Medicine, Division of Rheumatology, University of Cyprus Medical School, Nicosia, Cyprus
| | | | - Costas Christophi
- Cyprus International Institute for Environmental and Public Health, Cyprus University of Technology, Limassol, Cyprus; Department of Environmental Health, Harvard T.H. Chan School of Public Health, Boston, MA, USA
| | - Dimosthenis Lykouras
- Department of Respiratory Medicine, University General Hospital of Patras, Patras, Greece
| | | | - Dimitrios Daoussis
- Department of Rheumatology, University of Patras Medical School, Patras, Greece
| | - George Panos
- Department of Internal Medicine, Division of Infectious Diseases, University General Hospital of Patras, Patras, Greece
| | - Dimitrios Velissaris
- Department of Internal Medicine, University General Hospital of Patras, Patras, Greece
| | - Kyriakos Karkoulias
- Department of Respiratory Medicine, University General Hospital of Patras, Patras, Greece
| | - Kostas Spiropoulos
- Department of Respiratory Medicine, University General Hospital of Patras, Patras, Greece
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18
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Tsaturyan A, Bellin A, Barbuto S, Zampakis P, Ntzanis E, Lattarulo M, Kalogeropoulou C, Liatsikos E, Kallidonis P. Technical aspects to maximize the hyperaccuracy three-dimensional (HA3D ™) computed tomography reconstruction for kidney stones surgery: a pilot study. Urolithiasis 2021; 49:559-566. [PMID: 33811497 DOI: 10.1007/s00240-021-01262-6] [Citation(s) in RCA: 7] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/11/2020] [Accepted: 03/27/2021] [Indexed: 12/24/2022]
Abstract
The aim of the current prospective pilot study was to describe a hyperaccuracy three-dimensional (HA3D™) model reconstruction technique, specifically developed to maximize the visualization of the renal collecting system's anatomy, and its relationship with the stones, vessels and renal parenchyma, and to compare the HA3D™ virtual models with the intraoperative findings. The image acquisition was performed using a CT scanner (Toshiba, Aquilion Prime) and included the unenhanced, arterial, venous and excretory phases. The DICOM format CT images were processed by MEDICS Srl ( www.medics3d.com , Turin, Italy). In total, study included three patients with renal stone scheduled for non-papillary prone percutaneous nephrolithotomy (PCNL). The median age and BMI were 51 (range 49-54) and 25.5 (range 25.0-32.7), respectively. The median stone size was 1170 mm2 (range 830-1520) and median stone density was 1130 HU (range 600-1340). In all cases, the quality of the CT images acquired with our protocol was adequate to perform the HA3D™ reconstruction. Median operative and puncture time were 39.4 (range 35.2-44.0) and 1.9 (range 1.8-2.1) mins, respectively. The success rate for the first attempt of the percutaneous puncture was 100%, and only one PCNL tract was sufficient to complete the surgery. All three patients were stone-free on the third postoperative day. A dedicated imaging acquisition protocol and a tailored 3D model reconstruction process specifically developed for kidney stones treatment allow obtaining HA3D™ highly relevant models to greatly match intraoperative findings during PCNL with the potential of minimizing bleeding and organ injury complications.
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Affiliation(s)
- Arman Tsaturyan
- Department of Urology, University Hospital of Patras, Patras, Greece.
| | - Andrea Bellin
- Division of Urology, Department of Oncology, School of Medicine, University of Turin, San Luigi Hospital, Orbassano, Turin, Italy
| | - Simona Barbuto
- Division of Urology, Department of Oncology, School of Medicine, University of Turin, San Luigi Hospital, Orbassano, Turin, Italy
| | - Peter Zampakis
- Department of Radiology, University Hospital of Patras, Patras, Greece
| | | | - Marco Lattarulo
- Department of Urology, University Hospital of Patras, Patras, Greece
| | | | - Evangelos Liatsikos
- Department of Urology, University Hospital of Patras, Patras, Greece
- Department of Urology, Medical University of Vienna, Vienna, Austria
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19
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Kakkos SK, Apostolopoulou PG, Ntouvas I, Dimitrakopoulou K, Kalogeropoulou C, Zampakis P. Evacuation Technique of Left-Sided Inferior Vena Cava for a Successful Open Repair of a Large Juxtarenal Aortic Aneurysm. Vasc Specialist Int 2021; 37:41-45. [PMID: 33795553 PMCID: PMC8021493 DOI: 10.5758/vsi.200073] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/17/2020] [Revised: 02/03/2021] [Accepted: 02/19/2021] [Indexed: 11/24/2022] Open
Abstract
We report a case of successful open repair of a 7.5-cm juxtarenal abdominal aortic aneurysm (AAA) in the presence of a left-sided inferior vena cava (LS-IVC) crossing the aorta at the level of the renal arteries in a 72-year-old man. The orifice of the right renal artery was slightly caudal to that of the left renal artery and concomitant occlusive diseases of both iliac arteries were present. Based on the imaging and intraoperative findings, repair of the juxtarenal AAA was performed with mobilization of the LS-IVC, which was encircled twice with soft silicone rubber vessel loops on both sides of operating field and the blood content of the LS-IVC was temporarily evacuated. This procedure allowed proximal control with inter-renal clamping of the aorta and placement of an aortobifemoral polytetrafluoroethylene graft.
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Affiliation(s)
- Stavros K Kakkos
- Department of Vascular Surgery, School of Medicine of University of Patras, Patras, Greece
| | | | - Ioannis Ntouvas
- Department of Vascular Surgery, School of Medicine of University of Patras, Patras, Greece
| | - Kalliopi Dimitrakopoulou
- Department of Anesthesiology and Intensive Care, School of Medicine of University of Patras, Patras, Greece
| | | | - Peter Zampakis
- Department of Radiology, School of Medicine of University of Patras, Patras, Greece
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20
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Tsigkas G, Apostolos A, Synetos A, Latsios G, Toutouzas K, Xenogiannis I, Hamilos M, Sianos G, Ziakas A, Tsiafoutis I, Koutouzis M, Toulgaridis F, Moulias A, Sideris A, Patsilinakos S, Kanakakis I, Zampakis P, Tsioufis K, Kochiadakis G, Alexopoulos D, Davlouros P, Kalogeropoulou C, Vasilagkos G, Koufou EE, Papanikolaou A, Spanou E, Gerakaris A, Chlorogiannis D, Spiropoulou P, Miliordos I, Benetos G, Pappas C, Argentos S, Skalidis E, Kladou E, Skiadas C, Karagiannidis E, Mylona S, Zacharoulis A, Pappas L, Mantis C, Fagrezos D, Manouvelou S, Sertedaki E. Computed tomoGRaphy guidEd invasivE Coronary angiography in patiEnts with a previous coronary artery bypass graft surgery trial (GREECE trial): Rationale and design of a multicenter, randomized control trial. Hellenic J Cardiol 2021; 62:470-472. [PMID: 33482363 DOI: 10.1016/j.hjc.2021.01.001] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/14/2020] [Revised: 12/12/2020] [Accepted: 01/05/2021] [Indexed: 11/18/2022] Open
Affiliation(s)
- Grigorios Tsigkas
- Department of Cardiology, University Hospital of Patras, Patras, Greece.
| | | | - Andreas Synetos
- First Department of Cardiology, University of Athens, Hippokration General Hospital, Athens, Greece
| | - George Latsios
- First Department of Cardiology, University of Athens, Hippokration General Hospital, Athens, Greece
| | - Konstantinos Toutouzas
- First Department of Cardiology, University of Athens, Hippokration General Hospital, Athens, Greece
| | - Iosif Xenogiannis
- Second Department of Cardiology, University of Athens, Attikon University Hospital, Athens, Greece
| | - Michalis Hamilos
- Department of Cardiology, University Hospital of Heraklion, Heraklion, Greece
| | - Georgios Sianos
- First Department of Cardiology, Aristotle University of Thessaloniki, AHEPA University Hospital, Greece
| | - Antonios Ziakas
- First Department of Cardiology, Aristotle University of Thessaloniki, AHEPA University Hospital, Greece
| | | | | | - Fotios Toulgaridis
- Second Department of Cardiology, Evaggelismos General Hospital, Athens, Greece
| | | | - Antonios Sideris
- Second Department of Cardiology, Evaggelismos General Hospital, Athens, Greece
| | | | - Ioannis Kanakakis
- Department of Clinical Therapeutics, University of Athens, Alexandra General Hospital, Athens, Greece
| | - Petros Zampakis
- Department of Radiology, University Hospital of Patras, Patras, Greece
| | - Konstantinos Tsioufis
- First Department of Cardiology, University of Athens, Hippokration General Hospital, Athens, Greece
| | | | - Dimitrios Alexopoulos
- Second Department of Cardiology, University of Athens, Attikon University Hospital, Athens, Greece
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21
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Kakkos SK, Papageorgopoulou CP, Nikolakopoulos KM, Kalogeropoulou C, Tsolakis IA. Validation of the 3D SYM VEIN Symptom Assessment Tool. Eur J Vasc Endovasc Surg 2020; 60:587-593. [PMID: 32739105 DOI: 10.1016/j.ejvs.2020.06.028] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/03/2020] [Revised: 05/28/2020] [Accepted: 06/22/2020] [Indexed: 11/28/2022]
Abstract
OBJECTIVE The aim was to validate the SYM VEIN consensus 3D scoring tool in chronic venous disease (CVD). METHODS This was a prospective cohort study with a total of 35 consecutive patients with CVD. Patients with CVD undergoing saphenectomy were assessed with the revised Venous Clinical Severity Score (r-VCSS), the CIVIQ-20 quality of life score questionnaire, and the SYM VEIN consensus statement 3D system, pre-operatively and four weeks post-operatively. The total 3D score was tested for reliability, construct validity, and responsiveness. RESULTS The total 3D score demonstrated good reliability and internal consistency (Cronbach's alpha 0.85). Principal component analysis identified three groups of symptoms (paraesthesia, burning pain, and pruritus, vs. heaviness, sensation of swelling and aching/pain, vs. restless leg and throbbing pain) demonstrating a high intragroup correlation and likely to share similar pathophysiology, indicative of adequate construct validity. The total 3D score showed a significant correlation with r-VCSS and CIVIQ-20 score (rho .46, p = .005 and rho .65, p < .001, respectively) indicative of adequate convergent validity. After saphenectomy, significant reductions (p < .001) of the total 3D, and 3D scores for all but two individual venous symptoms were observed, indicative of excellent responsiveness. Median total 3D score was reduced from 31 to 6 (83.8% decrease, p < .001), median r-VCSS was reduced from 6 to 0 (100% decrease, p < .001), and median CIVIQ-20 score was reduced from 24 to 14 (40% decrease, p < .001). The difference of median percentage change between r-VCSS and CIVIQ-20 score vs. total 3D score was significant (p = .005 and p < .001, respectively). CONCLUSION The total SYM VEIN 3D score has good reliability, construct validity and excellent responsiveness, although less prone to change after saphenectomy compared with r-VCSS.
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Affiliation(s)
- Stavros K Kakkos
- Department of Vascular Surgery, University of Patras Medical School, Patras, Greece.
| | | | | | | | - Ioannis A Tsolakis
- Department of Vascular Surgery, University of Patras Medical School, Patras, Greece
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22
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Akinosoglou K, Velissaris D, Ziazias D, Davoulos C, Tousis A, Tsiotsios K, Kalogeropoulou C, Spyridonidis A, Marangos M, Fligkou F, Gogos C. Remdesivir and tocilizumab: Mix or match. J Med Virol 2020; 93:56-58. [PMID: 32492200 PMCID: PMC7300640 DOI: 10.1002/jmv.26117] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/30/2020] [Accepted: 06/01/2020] [Indexed: 12/15/2022]
Affiliation(s)
- Karolina Akinosoglou
- Department of Internal Medicine, University General Hospital of Patras, Patras, Greece.,Division of Infectious Diseases, University General Hospital of Patras, Patras, Greece
| | - Dimitris Velissaris
- Emergency Medicine Department, University General Hospital of Patras, Patras, Greece
| | - Dimitris Ziazias
- Department of Internal Medicine, University General Hospital of Patras, Patras, Greece
| | - Christos Davoulos
- Department of Internal Medicine, University General Hospital of Patras, Patras, Greece
| | - Alexandros Tousis
- Department of Internal Medicine, University General Hospital of Patras, Patras, Greece
| | | | | | - Alexandros Spyridonidis
- Laboratory of Flow Cytometry, Division of Hematology, University General Hospital of Patras, Patras, Greece
| | - Markos Marangos
- Department of Internal Medicine, University General Hospital of Patras, Patras, Greece.,Division of Infectious Diseases, University General Hospital of Patras, Patras, Greece
| | - Foteini Fligkou
- Intensive Care Unit, University General Hospital of Patras, Patras, Greece
| | - Charalampos Gogos
- Department of Internal Medicine, University General Hospital of Patras, Patras, Greece.,Division of Infectious Diseases, University General Hospital of Patras, Patras, Greece
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23
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Kakoullis L, Sampsonas F, Giannopoulou E, Kalogeropoulou C, Papachristodoulou E, Tsiamita M, Lykouras D, Velissaris D, Karkoulias K, Spiropoulos K, Panos G. Measles-associated pneumonia and hepatitis during the measles outbreak of 2018. Int J Clin Pract 2020; 74:e13430. [PMID: 31573732 DOI: 10.1111/ijcp.13430] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/27/2019] [Revised: 08/19/2019] [Accepted: 09/21/2019] [Indexed: 11/27/2022] Open
Abstract
Background Between 2017 and 2018, Greece experienced a measles outbreak, affecting >3000 patients, most of which were unvaccinated. Measles-associated pneumonia (MAP) is the most common serious compilation of the disease, but very few recent reports regarding its presentation are available. Materials and Methods Between January and May 2018, 11 adult patients presented to our department with acute measles virus infection, hypoxia and findings on chest X-ray. Clinical, laboratory and radiological data were collected and assessed. Nine out of eleven patients had hypoxic respiratory failure. Other complications included hepatitis, cholestasis and myositis, which were observed in the majority of patients. All patients received supplementary oxygen administration, whereas five patients required continuous positive airway pressure ventilation. Scoring of the radiological examinations performed was most notable for the presence of reticular opacities and consolidations. Statistical analysis demonstrated a significant association between PaO2/FiO2 values and the presence of reticular opacities, with PaO2/FiO2 decreasing as the mean value of the reticular opacities score increased (P = .02). Conclusion To our knowledge, this is the first report demonstrating an association between PaO2/FiO2 values and the presence of reticular opacities in patients with MAP. MAP should be suspected in any patient presenting with acute onset hypoxaemia and a reticular pattern on radiological examination, especially in outbreak settings. What is known Measles infections are on the rise in Europe, with epidemics affecting several European countries, resulting from suboptimal immunisation. The most common serious complication of measles is pneumonia, which is more common in adult patients and can cause significant morbidity. It is the most common cause of death due to measles. What is new In this report, we present 11 adults with measles-associated pneumonia, who presented with the combination of acute measles virus infection, hypoxia and findings on chest X-ray. To our knowledge, this is the first report demonstrating an association between the severity of hypoxaemia and the presence of reticular opacities on chest imaging studies.
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Affiliation(s)
- Loukas Kakoullis
- Department of Respiratory Medicine, University Hospital of Patras, Patras, Greece
- Department of Internal Medicine, Nicosia General Hospital, University of Cyprus, Nicosia, Cyprus
| | - Fotios Sampsonas
- Department of Respiratory Medicine, University Hospital of Patras, Patras, Greece
| | - Eleni Giannopoulou
- Department of Respiratory Medicine, University Hospital of Patras, Patras, Greece
| | | | - Eleni Papachristodoulou
- Department of Respiratory Medicine, University Hospital of Patras, Patras, Greece
- Department of Internal Medicine, Nicosia General Hospital, University of Cyprus, Nicosia, Cyprus
| | - Maria Tsiamita
- Department of Respiratory Medicine, University Hospital of Patras, Patras, Greece
| | - Dimosthenis Lykouras
- Department of Respiratory Medicine, University Hospital of Patras, Patras, Greece
| | | | - Kyriakos Karkoulias
- Department of Respiratory Medicine, University Hospital of Patras, Patras, Greece
| | - Kostas Spiropoulos
- Department of Respiratory Medicine, University Hospital of Patras, Patras, Greece
| | - George Panos
- Department of Internal Medicine, Nicosia General Hospital, University of Cyprus, Nicosia, Cyprus
- Department of Internal Medicine, Section of Infectious Diseases, University Hospital of Patras, Patras, Greece
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Zvintzou E, Xepapadaki E, Kalogeropoulou C, Filou S, Kypreos KE. Pleiotropic effects of apolipoprotein A-Ⅱ on high-density lipoprotein functionality, adipose tissue metabolic activity and plasma glucose homeostasis. J Biomed Res 2020; 0:1-13. [PMID: 31741463 DOI: 10.7555/jbr.33.20190048] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/07/2023] Open
Abstract
Apolipoprotein A-Ⅱ (APOA-Ⅱ) is the second most abundant apolipoprotein of high-density lipoprotein (HDL) synthesized mainly by the liver and to a much lesser extent by the intestine. Transgenic mice overexpressing human APOA-Ⅱ present abnormal lipoprotein composition and are prone to atherosclerosis, though in humans the role for APOA-Ⅱ in coronary heart disease remains controversial. Here, we investigated the effects of overexpressed APOA-Ⅱ on HDL structure and function, adipose tissue metabolic activity, glucose tolerance and insulin sensitivity. C57BL/6 mice were infected with an adenovirus expressing human APOA-Ⅱ or a control adenovirus AdGFP, and five days post-infection blood and tissue samples were isolated. APOA-Ⅱ expression resulted in distinct changes in HDL apoproteome that correlated with increased antioxidant and anti-inflammatory activities. No effects on cholesterol efflux from RAW 264.7 macrophages were observed. Molecular analyses in white adipose tissue (WAT) indicated a stimulation of oxidative phosphorylation coupled with respiration for ATP production in mice overexpressing APOA-Ⅱ. Finally, overexpressed APOA-Ⅱ improved glucose tolerance of mice but had no effect on the response to exogenously administered insulin. In summary, expression of APOA-Ⅱ in C57BL/6 mice results in pleiotropic effects with respect to HDL functionality, adipose tissue metabolism and glucose utilization, many of which are beneficial to health.
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Affiliation(s)
- Evangelia Zvintzou
- Department of Pharmacology, University of Patras Medical School, Rio Achaias, TK 26500, Greece
| | - Eva Xepapadaki
- Department of Pharmacology, University of Patras Medical School, Rio Achaias, TK 26500, Greece
| | | | - Serafoula Filou
- Department of Pharmacology, University of Patras Medical School, Rio Achaias, TK 26500, Greece
| | - Kyriakos E Kypreos
- Department of Pharmacology, University of Patras Medical School, Rio Achaias, TK 26500, Greece
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Oikonomaki T, Papasotiriou M, Ntrinias T, Kalogeropoulou C, Zabakis P, Kalavrizioti D, Papadakis I, Goumenos DS, Papachristou E. The effect of vitamin K2 supplementation on vascular calcification in haemodialysis patients: a 1-year follow-up randomized trial. Int Urol Nephrol 2019; 51:2037-2044. [PMID: 31529295 DOI: 10.1007/s11255-019-02275-2] [Citation(s) in RCA: 49] [Impact Index Per Article: 9.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/27/2019] [Accepted: 08/30/2019] [Indexed: 12/31/2022]
Abstract
PURPOSE Vascular calcification (VC) is an independent risk factor for cardiovascular disease in hemodialysis patients while Matrix GLA protein (MGP) is one of the most potent inhibitors of VC and its activation is vitamin K dependent. The aim of this study is to investigate the role of oral vitamin K2 supplementation in the prevention of VC progression in haemodialysis patients. METHODS We conducted a prospective randomized interventional study in patients on hemodialysis. Patients were randomly assigned to either receiving orally 200 μgr of vitamin K2 (vitamin K2/MK-7, Solgar) every day for 1 year or no treatment. Uncarboxylated MGP (uc-MGP) concentrations were quantified using ELISA at randomization, at 3 and at 12 months. Aortic calcification was evaluated using Agatston score after an abdominal computed tomography scan that was performed at the beginning and at 12 months of follow-up. RESULTS There were 102 patients that were randomized. After 1 year of follow-up, 22 patients from the vitamin K2 group and 30 patients from the control group were included in the analysis. After 3 months of treatment, uc-MGP values remained unchanged in the vitK2 group but after 1 year were reduced by 47% (p = 0.005). Furthermore, uc-MGP at 1 year was increased by 12% in the control group. At 1 year, vitK2 group had significantly lower values of uc-MGP in comparison to controls (p = 0.03). Agatston score was increased significantly both in vitamin K2 and control group at 1 year with no difference between groups. CONCLUSIONS Oral administration of vitamin K2 in patients on haemodialysis reduced serum uc-MGP levels but did not have an effect in the progression of aortic calcification.
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Affiliation(s)
| | - Marios Papasotiriou
- Department of Nephrology and Renal Transplantation, University Hospital of Patras, Patras, Greece
| | - Theodoros Ntrinias
- Department of Nephrology and Renal Transplantation, University Hospital of Patras, Patras, Greece
| | | | - Petros Zabakis
- Department of Radiology, University Hospital of Patras, Patras, Greece
| | - Dimitra Kalavrizioti
- Department of Nephrology and Renal Transplantation, University Hospital of Patras, Patras, Greece
| | | | - Dimitrios S Goumenos
- Department of Nephrology and Renal Transplantation, University Hospital of Patras, Patras, Greece
| | - Evangelos Papachristou
- Department of Nephrology and Renal Transplantation, University Hospital of Patras, Patras, Greece.
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Filou S, Zvintzou E, Kalogeropoulou C, Xepapadaki E, Kypreos K. Functional Interaction Between Apolipoproteins A2 And E In The Regulation Of Plasma Cholesterol And Triglycerides Levels. Atherosclerosis 2019. [DOI: 10.1016/j.atherosclerosis.2019.06.308] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/30/2022]
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Zvintzou E, Xepapadaki E, Kalogeropoulou C, Filou S, Kypreos K. Apolipoprotein A2 Induces Structural Changes In Hdl Leading To Increased Antioxidant Activity. Atherosclerosis 2019. [DOI: 10.1016/j.atherosclerosis.2019.06.690] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 10/26/2022]
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Abstract
Atherosclerosis is a multistep process that progresses over a long period of time and displays a broad range of severity. In its final form, it manifests as a lesion of the intimal layer of the arterial wall. There is strong evidence supporting that oxidative stress contributes to coronary heart disease morbidity and mortality and antioxidant high-density lipoprotein (HDL) could have a beneficial role in the prevention and prognosis of the disease. Indeed, certain subspecies of HDL may act as natural antioxidants preventing oxidation of lipids on low-density lipoprotein (LDL) and biological membranes. The antioxidant function may be attributed to inhibition of synthesis or neutralization of free radicals and reactive oxygen species by HDL lipids and associated enzymes or transfer of oxidation prone lipids from LDL and biological membranes to HDL for catabolism. A limited number of clinical trials suggest that the increased antioxidant potential of HDL correlates with decreased risk for atherosclerosis. Some nutritional interventions to increase HDL antioxidant activity have been proposed with limited success so far. The limitations in measuring and understanding HDL antioxidant function in vivo are also discussed.
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Affiliation(s)
- Eva Xepapadaki
- Department of Pharmacology, School of Medicine, University of Patras, Rio Achaias, TK, Greece
| | - Evangelia Zvintzou
- Department of Pharmacology, School of Medicine, University of Patras, Rio Achaias, TK, Greece
| | | | - Serafoula Filou
- Department of Pharmacology, School of Medicine, University of Patras, Rio Achaias, TK, Greece
| | - Kyriakos E Kypreos
- Department of Pharmacology, School of Medicine, University of Patras, Rio Achaias, TK, Greece
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OIKONOMAKI THEODORA, Papasotiriou M, Ntrinias T, Kalogeropoulou C, Zabakis P, Vamvakas S, Papadakis I, Goumenos D, Papachristou E. FP608INFLUENCE OF VITAMIN K2 SUPPLEMENTATION ON VASCULAR CALCIFICATION AMONG HAEMODIALYSIS PATIENTS. A ONE YEAR RANDOMIZED TRIAL. Nephrol Dial Transplant 2019. [DOI: 10.1093/ndt/gfz106.fp608] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/14/2022] Open
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31
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Konstantatou E, Fang C, Romanos O, Derchi LE, Bertolotto M, Valentino M, Kalogeropoulou C, Sidhu PS. Evaluation of Intratesticular Lesions With Strain Elastography Using Strain Ratio and Color Map Visual Grading: Differentiation of Neoplastic and Nonneoplastic Lesions. J Ultrasound Med 2019; 38:223-232. [PMID: 30027626 DOI: 10.1002/jum.14686] [Citation(s) in RCA: 13] [Impact Index Per Article: 2.6] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 01/31/2018] [Revised: 04/15/2018] [Accepted: 04/16/2018] [Indexed: 06/08/2023]
Abstract
OBJECTIVE To investigate the role of strain elastography using calculated strain ratio and visual elastography score in differentiating nonneoplastic, benign, and malignant neoplastic intratesticular lesions. MATERIALS AND METHODS The study was approved by the hospital review board as a retrospective review of 86 patients examined with gray scale, color Doppler ultrasonography and strain elastography (visual elastography score and strain ratio). Sensitivity, specificity, and positive and negative likelihood ratio of color Doppler and stain elastography were documented. Receiver operator characteristic curves assessed the diagnostic accuracy of strain elastography to discriminate nonneoplastic, benign, and malignant neoplasms. Histology or follow-up ultrasonography determined lesion character. RESULTS Thirty-one of 86 (36.0%) intratesticular malignant neoplasms, 17 of 86 (19.8%) benign neoplasms, and 38 of 86 (44.2%) nonneoplastic lesions were confirmed with histology (n = 52) or follow-up sonography (n = 34); 89.5% of intratesticular lesions were heterogeneous or hypoechoic on gray scale, with no difference between benign and malignant. Sensitivity, specificity, positive and negative likelihood ratio for nonneoplasm versus neoplasm were documented: color Doppler: 68.8%, 97.4%, 26.5, 0.32; visual elastography score: 81.3%, 57.9%, 1.93, 0.32; strain ratio: 68.8%, 81.6%, 3.73, 0.38. Neoplastic lesions showed a higher strain ratio than nonneoplastic lesions (P < .001), with strong correlation between median strain ratio and visual elastography score (Spearman's coefficient, 0.693; P < .001). Strain ratio is a significantly better assessment than visual elastography score for malignant lesions (P = .025). Logistic regression analysis revealed significant associations between size (P = .001), hypervascularity (P < .001), and malignancy. CONCLUSION Higher strain ratio and visual elastography score are associated with neoplastic lesions and offer an alternative to assess tissue characteristics but do not improve the diagnostic accuracy when compared with the color Doppler pattern.
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Affiliation(s)
- Eleni Konstantatou
- Department of Radiology, King's College Hospital, Denmark Hill, London, United Kingdom
| | - Cheng Fang
- Department of Radiology, King's College Hospital, Denmark Hill, London, United Kingdom
| | - Odyssefs Romanos
- Department of Radiology, King's College Hospital, Denmark Hill, London, United Kingdom
| | - Lorenzo E Derchi
- Department of Health Sciences (DISSAL), University of Genoa, AND Emergency Radiology, Ospedale Policlinico San Martino, Genoa, Italy
| | | | | | | | - Paul S Sidhu
- Department of Radiology, King's College Hospital, Denmark Hill, London, United Kingdom
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Karamouzos V, Prokakis C, Kosmopoulou F, Karanikolas E, Kalogeropoulou C, Aretha D, Panagiotopoulos N, Koletsis E, Velissaris D. Simultaneous Bilateral Spontaneous Pneumothorax in an Adult Patient With Pulmonary Langerhans Cell Histiocytosis: A Case Report. J Investig Med High Impact Case Rep 2018; 6:2324709618792945. [PMID: 30094268 PMCID: PMC6080074 DOI: 10.1177/2324709618792945] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/08/2018] [Revised: 07/01/2018] [Accepted: 07/12/2018] [Indexed: 11/17/2022] Open
Abstract
We report a case of a young female with known history of pulmonary Langerhans
cell histiocytosis who was initially presented in the emergency department of a
university hospital with respiratory distress. Clinical assessment and
diagnostic workup revealed left hemithorax subcutaneous emphysema, bilateral
pneumothorax, and atelectasis in both lower lung lobes. The patient was treated
with bilateral staged thoracoscopic bullectomy and mechanical abrasion of the
parietal pleura combined with chemical pleurodesis with talc. A new occurrence
of right-sided pneumothorax was noticed 3 days after surgery, which was treated
with chest tube insertion and chemical pleurodesis. The aforementioned surgical
approach resulted in complete lung expansion and the patient’s full recovery. A
review of pulmonary Langerhans cell histiocytosis and treatment options in cases
of pneumothorax due to lung histiocytosis is also presented in this report.
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Kalafateli M, Karatzas A, Tsiaoussis G, Koutroumpakis E, Tselekouni P, Koukias N, Konstantakis C, Assimakopoulos S, Gogos C, Thomopoulos K, Kalogeropoulou C, Triantos C. Muscle fat infiltration assessed by total psoas density on computed tomography predicts mortality in cirrhosis. Ann Gastroenterol 2018; 31:491-498. [PMID: 29991895 PMCID: PMC6033770 DOI: 10.20524/aog.2018.0256] [Citation(s) in RCA: 12] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/15/2017] [Accepted: 01/26/2018] [Indexed: 12/22/2022] Open
Abstract
Background: Ongoing evidence suggests that sarcopenia adversely affects outcomes in cirrhosis. The aim of this study was to evaluate muscle fat infiltration as a component of sarcopenia and its prognostic value in this setting. Methods: In 98 consecutive patients with cirrhosis, muscle density was measured during a computed tomography scan at the level of the fourth to fifth lumbar (L4) vertebrae. Univariate and multivariate Cox regression analysis was used to determine predictors of survival. Results: Body mass index: median 26 (range 17-45.2); model for end-stage liver disease (MELD) score: median 11 (6-29); Child-Pugh (CP) score: median 7 (5-13), CP class: A=49 (50.5%), B=39 (40%), C=10 (9.5%); hepatocellular carcinoma: 14 (14.3%); follow up: median 45 (1-140) months. Median L4 total psoas area (TPA): 2022 (777-3806) mm2; L4 average total psoas density (ATPD): 42.52 (21.26-59.8) HU. ATPD was significantly correlated with age (r=-0.222, P=0.034), creatinine (r=-0.41, P<0.001), albumin (r=0.224, P=0.035), MELD score (r=-0.218, P=0.034), and TPA (r=0.415, P<0.001). Fifty-four patients (55.1%) died during follow up. In the multivariate analysis, higher CP score (hazard ratio [HR] 1.2, 95% confidence interval [CI] 1.04-1.41), advanced age (HR 1.038, 95%CI 1.006-1.07) and lower ATPD (HR 0.967, 95%CI 0.937-0.997) were predictors of mortality. Conclusion: Muscle fat infiltration, as a result of sarcopenia, is a negative predictive factor of survival in cirrhosis, emphasizing the need for early identification of this subgroup of patients.
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Affiliation(s)
- Maria Kalafateli
- Department of Gastroenterology (Maria Kalafateli, Georgios Tsiaoussis, Efstratios Koutroubakis, Paraskevi Tselekouni, Nikolaos Koukias, Christos Konstantakis, Konstantinos Thomopoulos, Christos Triantos), University Hospital of Patras, Patras, Greece
| | - Andreas Karatzas
- Department of Radiology (Andreas Karatzas, Christina Kalogeropoulou), University Hospital of Patras, Patras, Greece
| | - Georgios Tsiaoussis
- Department of Gastroenterology (Maria Kalafateli, Georgios Tsiaoussis, Efstratios Koutroubakis, Paraskevi Tselekouni, Nikolaos Koukias, Christos Konstantakis, Konstantinos Thomopoulos, Christos Triantos), University Hospital of Patras, Patras, Greece
| | - Efstratios Koutroumpakis
- Department of Gastroenterology (Maria Kalafateli, Georgios Tsiaoussis, Efstratios Koutroubakis, Paraskevi Tselekouni, Nikolaos Koukias, Christos Konstantakis, Konstantinos Thomopoulos, Christos Triantos), University Hospital of Patras, Patras, Greece
| | - Paraskevi Tselekouni
- Department of Gastroenterology (Maria Kalafateli, Georgios Tsiaoussis, Efstratios Koutroubakis, Paraskevi Tselekouni, Nikolaos Koukias, Christos Konstantakis, Konstantinos Thomopoulos, Christos Triantos), University Hospital of Patras, Patras, Greece
| | - Nikolaos Koukias
- Department of Gastroenterology (Maria Kalafateli, Georgios Tsiaoussis, Efstratios Koutroubakis, Paraskevi Tselekouni, Nikolaos Koukias, Christos Konstantakis, Konstantinos Thomopoulos, Christos Triantos), University Hospital of Patras, Patras, Greece
| | - Christos Konstantakis
- Department of Gastroenterology (Maria Kalafateli, Georgios Tsiaoussis, Efstratios Koutroubakis, Paraskevi Tselekouni, Nikolaos Koukias, Christos Konstantakis, Konstantinos Thomopoulos, Christos Triantos), University Hospital of Patras, Patras, Greece
| | - Stelios Assimakopoulos
- Department of Internal Medicine (Stelios Assimakopoulos, Charalambos Gogos), University Hospital of Patras, Patras, Greece
| | - Charalambos Gogos
- Department of Internal Medicine (Stelios Assimakopoulos, Charalambos Gogos), University Hospital of Patras, Patras, Greece
| | - Konstantinos Thomopoulos
- Department of Gastroenterology (Maria Kalafateli, Georgios Tsiaoussis, Efstratios Koutroubakis, Paraskevi Tselekouni, Nikolaos Koukias, Christos Konstantakis, Konstantinos Thomopoulos, Christos Triantos), University Hospital of Patras, Patras, Greece
| | - Christina Kalogeropoulou
- Department of Radiology (Andreas Karatzas, Christina Kalogeropoulou), University Hospital of Patras, Patras, Greece
| | - Christos Triantos
- Department of Gastroenterology (Maria Kalafateli, Georgios Tsiaoussis, Efstratios Koutroubakis, Paraskevi Tselekouni, Nikolaos Koukias, Christos Konstantakis, Konstantinos Thomopoulos, Christos Triantos), University Hospital of Patras, Patras, Greece
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Karatzas A, Konstantakis C, Aggeletopoulou I, Kalogeropoulou C, Thomopoulos K, Triantos C. Νon-invasive screening for esophageal varices in patients with liver cirrhosis. Ann Gastroenterol 2018; 31:305-314. [PMID: 29720856 PMCID: PMC5924853 DOI: 10.20524/aog.2018.0241] [Citation(s) in RCA: 11] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/06/2017] [Accepted: 01/26/2018] [Indexed: 12/11/2022] Open
Abstract
Esophageal varices are one of the main complications of liver cirrhosis. Upper gastrointestinal endoscopy is the gold standard for the detection of esophageal varices. Many less invasive methods for screening of varices have been investigated and the most recent Baveno VI guidelines suggest that endoscopy is not necessary in patients with liver stiffness <20 kPa and platelets >150,000/μL. A critical review of the literature was performed concerning non-invasive or minimally invasive methods of screening for esophageal varices. Liver and spleen elastography, imaging methods including computed tomography, magnetic resonance imaging and ultrasound, laboratory tests and capsule endoscopy are discussed. The accuracy of each method, and its advantages and limitations compared to endoscopy are analyzed. There are data to support the Baveno VI guidelines, but there is still a lack of large prospective studies and low specificity has been reported for the liver stiffness and platelet count combination. Spleen elastography has shown promising results, as there are data to support its superiority to liver elastography, but it needs further assessment. Computed tomography has shown high diagnostic accuracy and can be part of the diagnostic work up of cirrhotic patients in the future, including screening for varices.
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Affiliation(s)
- Andreas Karatzas
- Department of Radiology, Olympion Therapeutirio (Andreas Karatzas)
| | | | - Ioanna Aggeletopoulou
- Department of Gastroenterology, University Hospital of Patras (Ioanna Aggeletopoulou, Konstantinos Thomopoulos, Christos Triantos)
| | - Christina Kalogeropoulou
- Department of Radiology, University Hospital of Patras (Christina Kalogeropoulou), Patras, Achaia, Greece
| | - Konstantinos Thomopoulos
- Department of Gastroenterology, University Hospital of Patras (Ioanna Aggeletopoulou, Konstantinos Thomopoulos, Christos Triantos)
| | - Christos Triantos
- Department of Gastroenterology, University Hospital of Patras (Ioanna Aggeletopoulou, Konstantinos Thomopoulos, Christos Triantos)
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Kakkos SK, Zampakis P, Lampropoulos GC, Paridis L, Kaplanis C, Bantouna D, Nikolakopoulos KM, Papageorgopoulou CP, Kalogeropoulou C, Tsolakis IA. Successful Resection of a Large Carotid Body Tumor Masquerading Complete Encasement of the Internal Carotid Artery on Preoperative Imaging. Vasc Endovascular Surg 2018; 52:304-308. [PMID: 29495959 DOI: 10.1177/1538574418761722] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/16/2022]
Abstract
A 41-year-old woman presented with a large painful and tender mass of the left side of her neck located just below the angle of the mandible. She was also complaining of frequent attacks of symptoms ranging from dizziness upon resuming the erect position to frank syncope. Color-coded duplex showed a large well-vascularized vascular mass at the level of the carotid bifurcation, suggesting the diagnosis of a carotid body tumor (CBT). A computerized tomographic angiography confirmed the diagnosis of a CBT, which measured 5.7 cm in its craniocaudal axis. The tumor appeared to encase the internal carotid artery (ICA) at the level of its origin, indicating the presence of a Shamblin group 3 tumor. During surgery, the CBT seemingly encased the ICA; however, it was successfully taken off the ICA, by establishing an adventitial dissection place, obviating the need for arterial resection and replacement. A brief intraoperative episode of cardiac arrest was successfully managed. Postoperative course was uneventful, and all symptoms were cured. Pathology confirmed the clinical diagnosis and did not show malignancy. In conclusion, meticulous surgical techniques can spare the ICA from removal or inadvertent injury during CBT surgery and reduce the morbidity often associated with the resection of large or advanced tumors but also cure atypical patient symptoms.
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Affiliation(s)
- Stavros K Kakkos
- 1 Department of Vascular Surgery, University of Patras Medical School, Patras, Greece
| | - Peter Zampakis
- 2 Clinical Laboratory of Radiology, University of Patras Medical School, Patras, Greece
| | - George C Lampropoulos
- 1 Department of Vascular Surgery, University of Patras Medical School, Patras, Greece
| | - Leonidas Paridis
- 3 Department of Anesthesiology and Intensive Care, University of Patras Medical School, Patras, Greece
| | - Charalampos Kaplanis
- 1 Department of Vascular Surgery, University of Patras Medical School, Patras, Greece
| | - Dimitra Bantouna
- 4 Clinical Laboratory of Pathology, University of Patras Medical School, Patras, Greece
| | | | | | | | - Ioannis A Tsolakis
- 1 Department of Vascular Surgery, University of Patras Medical School, Patras, Greece
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E. Kypreos K, A. Karavia E, Constantinou C, Hatziri A, Kalogeropoulou C, Xepapadaki E, Zvintzou E. Apolipoprotein E in diet-induced obesity: a paradigm shift from conventional perception. J Biomed Res 2017; 32:183. [PMID: 29770778 PMCID: PMC6265402 DOI: 10.7555/jbr.32.20180007] [Citation(s) in RCA: 5] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/19/2018] [Accepted: 03/08/2018] [Indexed: 12/16/2022] Open
Abstract
Apolipoprotein E (APOE) is a major protein component of peripheral and brain lipoprotein transport systems. APOE in peripheral circulation does not cross blood brain barrier or blood cerebrospinal fluid barrier. As a result, peripheral APOE expression does not affect brain APOE levels and vice versa. Numerous epidemiological studies suggest a key role of peripherally expressed APOE in the development and progression of coronary heart disease while brain APOE has been associated with dementia and Alzheimer's disease. More recent studies, mainly in experimental mice, suggested a link between Apoe and morbid obesity. According to the latest findings, expression of human apolipoprotein E3 (APOE3) isoform in the brain of mice is associated with a potent inhibition of visceral white adipose tissue (WAT) mitochondrial oxidative phosphorylation leading to significantly reduced substrate oxidation, increased fat accumulation and obesity. In contrast, hepatically expressed APOE3 is associated with a notable shift of substrate oxidation towards non-shivering thermogenesis in visceral WAT mitochondria, leading to resistance to obesity. These novel findings constitute a major paradigm shift from the widely accepted perception that APOE promotes obesity via receptor-mediated postprandial lipid delivery to WAT. Here, we provide a critical review of the latest facts on the role of APOE in morbid obesity.
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Affiliation(s)
- Kyriakos E. Kypreos
- Department of Pharmacology, University of Patras Medical School, Rio Achaias, TK 26500, Greece
| | - Eleni A. Karavia
- Department of Pharmacology, University of Patras Medical School, Rio Achaias, TK 26500, Greece
| | - Caterina Constantinou
- Department of Pharmacology, University of Patras Medical School, Rio Achaias, TK 26500, Greece
| | - Aikaterini Hatziri
- Department of Pharmacology, University of Patras Medical School, Rio Achaias, TK 26500, Greece
| | | | - Eva Xepapadaki
- Department of Pharmacology, University of Patras Medical School, Rio Achaias, TK 26500, Greece
| | - Evangelia Zvintzou
- Department of Pharmacology, University of Patras Medical School, Rio Achaias, TK 26500, Greece
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Hatziri A, Kalogeropoulou C, Karavia E, Xepapadaki E, Kakava S, Kypreos K. Lecithin-cholesterol acyltransferase and apolipoprotein A-I are important for the pharmacological effects of metformin in mice. Atherosclerosis 2017. [DOI: 10.1016/j.atherosclerosis.2017.06.866] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 10/19/2022]
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Kallidonis P, Kalogeropoulou C, Kyriazis I, Apostolopoulos D, Kitrou P, Kotsiris D, Ntasiotis P, Liatsikos E. Percutaneous Nephrolithotomy Puncture and Tract Dilation: Evidence on the Safety of Approaches to the Infundibulum of the Middle Renal Calyx. Urology 2017. [PMID: 28629676 DOI: 10.1016/j.urology.2017.05.038] [Citation(s) in RCA: 13] [Impact Index Per Article: 1.9] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/16/2022]
Abstract
OBJECTIVE To investigate the anatomical relations of the papillary, infundibular, and pelvic approach to percutaneous nephrolithotomy and evaluate the amount of vascularization at the respective sites. MATERIALS AND METHODS 99mTc-dimercaptosuccinic acid single-photon emission computed tomography/computed tomography (SPECT/CT) renal scintigraphies or computed tomography perfusion (CTP) was performed in 40 patients (prone n = 20 or supine position n = 20). The angle of approach (AoA) for access tracts and the respective regions of interest to the mid-calyceal papilla and infundibulum as well as renal pelvis were designed and compared. RESULTS The design of access tracts aiming to the renal pelvis, papilla, and infundibulum of the renal calyx was impossible for the nondilated collecting systems as all these tracts were in close vicinity. In both SPECT/CT and CTP, there was no statistical difference between the AoA for infundibular or pelvic access in comparison with the papillary puncture in either prone or supine position regardless of the degree of dilation of the system. The comparison of the measurements in the regions of interest showed that there was no difference in blood supply between the infundibular and pelvic access in comparison with the papillary approach in both positions regardless of the degree of collecting system dilation. CONCLUSION The use of SPECT/CT and CTP showed that the punctures to the mid-calyceal renal papilla-fornix and infundibulum as well as the renal pelvis at the same level have similar AoA. The sites of the parenchyma involved in the tract dilation of the respective approaches are not related to significant differences in terms of vascularization.
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Affiliation(s)
| | | | - Iason Kyriazis
- Department of Urology, University of Patras, Patras, Greece
| | | | | | | | | | - Evangelos Liatsikos
- Department of Urology, University of Patras, Patras, Greece; Department of Urology, Medical University of Vienna, Vienna, Austria
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Filou S, Lhomme M, Karavia EA, Kalogeropoulou C, Theodoropoulos V, Zvintzou E, Sakellaropoulos GC, Petropoulou PI, Constantinou C, Kontush A, Kypreos KE. Distinct Roles of Apolipoproteins A1 and E in the Modulation of High-Density Lipoprotein Composition and Function. Biochemistry 2016; 55:3752-62. [PMID: 27332083 DOI: 10.1021/acs.biochem.6b00389] [Citation(s) in RCA: 42] [Impact Index Per Article: 5.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/01/2023]
Abstract
In addition to high-density lipoprotein cholesterol (HDL-C) levels, HDL quality also appears to be very important for atheroprotection. Analysis of various clinical paradigms suggests that the lipid and apolipoprotein composition of HDL defines its size, shape, and functions and may determine its beneficial effects on human health. Previously, we reported that like apolipoprotein A-I (Apoa1), apolipoprotein E (Apoe) is also capable of promoting the de novo biogenesis of HDL with the participation of ATP binding cassette A lipid transporter member 1 (Abca1) and plasma enzyme lecithin:cholesterol acyltransferase (Lcat), in a manner independent of a functional Apoa1. Here, we performed a comparative analysis of the functions of these HDL subpopulations. Specifically, Apoe and Apoa1 double-deficient (Apoe(-/-) × Apoa1(-/-)) mice were infected with APOA1- or APOE3-expressing adenoviruses, and APOA1-containing HDL (APOA1-HDL) and APOE3-containing HDL (APOE3-HDL), respectively, were isolated and analyzed by biochemical and physicochemical methods. Western blot and lipidomic analyses indicated significant differences in the apolipoprotein and lipid composition of the two HDL species. Moreover APOE3-HDL presented a markedly reduced antioxidant potential and Abcg1-mediated cholesterol efflux capacity. Surprisingly, APOE3-HDL but not APOA1-HDL attenuated LPS-induced production of TNFα in RAW264.7 cells, suggesting that the anti-inflammatory effects of APOA1 are dependent on APOE expression. Taken together, our data indicate that APOA1 and APOE3 recruit different apolipoproteins and lipids on the HDL particle, leading to structurally and functionally distinct HDL subpopulations. The distinct role of these two apolipoproteins in the modulation of HDL functionality may pave the way toward the development of novel pharmaceuticals that aim to improve HDL functionality.
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Affiliation(s)
- Serafoula Filou
- Department of Pharmacology, University of Patras Medical School , Rio Achaias, TK 26500, Greece
| | - Marie Lhomme
- ICANalytics, ICAN , 83 Bd de l'hopital, 75013 Paris, France
| | - Eleni A Karavia
- Department of Pharmacology, University of Patras Medical School , Rio Achaias, TK 26500, Greece
| | | | - Vassilis Theodoropoulos
- Department of Pharmacology, University of Patras Medical School , Rio Achaias, TK 26500, Greece
| | - Evangelia Zvintzou
- Department of Pharmacology, University of Patras Medical School , Rio Achaias, TK 26500, Greece
| | - George C Sakellaropoulos
- Department of Medical Physics, University of Patras Medical School , Rio Achaias, TK 26500, Greece
| | | | - Caterina Constantinou
- Department of Pharmacology, University of Patras Medical School , Rio Achaias, TK 26500, Greece
| | - Anatol Kontush
- INSERM UMR_S 1166-ICAN , Faculté de Médecine Pitié-Salpêtrière, 91 Bd de l'Hôpital, 75013 Paris, France
| | - Kyriakos E Kypreos
- Department of Pharmacology, University of Patras Medical School , Rio Achaias, TK 26500, Greece
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Vlachopoulos G, Korfiatis P, Skiadopoulos S, Kazantzi A, Kalogeropoulou C, Pratikakis I, Costaridou L. Selecting registration schemes in case of interstitial lung disease follow-up in CT. Med Phys 2016; 42:4511-25. [PMID: 26233180 DOI: 10.1118/1.4923170] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/07/2022] Open
Abstract
PURPOSE Primary goal of this study is to select optimal registration schemes in the framework of interstitial lung disease (ILD) follow-up analysis in CT. METHODS A set of 128 multiresolution schemes composed of multiresolution nonrigid and combinations of rigid and nonrigid registration schemes are evaluated, utilizing ten artificially warped ILD follow-up volumes, originating from ten clinical volumetric CT scans of ILD affected patients, to select candidate optimal schemes. Specifically, all combinations of four transformation models (three rigid: rigid, similarity, affine and one nonrigid: third order B-spline), four cost functions (sum-of-square distances, normalized correlation coefficient, mutual information, and normalized mutual information), four gradient descent optimizers (standard, regular step, adaptive stochastic, and finite difference), and two types of pyramids (recursive and Gaussian-smoothing) were considered. The selection process involves two stages. The first stage involves identification of schemes with deformation field singularities, according to the determinant of the Jacobian matrix. In the second stage, evaluation methodology is based on distance between corresponding landmark points in both normal lung parenchyma (NLP) and ILD affected regions. Statistical analysis was performed in order to select near optimal registration schemes per evaluation metric. Performance of the candidate registration schemes was verified on a case sample of ten clinical follow-up CT scans to obtain the selected registration schemes. RESULTS By considering near optimal schemes common to all ranking lists, 16 out of 128 registration schemes were initially selected. These schemes obtained submillimeter registration accuracies in terms of average distance errors 0.18 ± 0.01 mm for NLP and 0.20 ± 0.01 mm for ILD, in case of artificially generated follow-up data. Registration accuracy in terms of average distance error in clinical follow-up data was in the range of 1.985-2.156 mm and 1.966-2.234 mm, for NLP and ILD affected regions, respectively, excluding schemes with statistically significant lower performance (Wilcoxon signed-ranks test, p < 0.05), resulting in 13 finally selected registration schemes. CONCLUSIONS Selected registration schemes in case of ILD CT follow-up analysis indicate the significance of adaptive stochastic gradient descent optimizer, as well as the importance of combined rigid and nonrigid schemes providing high accuracy and time efficiency. The selected optimal deformable registration schemes are equivalent in terms of their accuracy and thus compatible in terms of their clinical outcome.
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Affiliation(s)
- Georgios Vlachopoulos
- Department of Medical Physics, School of Medicine,University of Patras, Patras 26504, Greece
| | - Panayiotis Korfiatis
- Department of Medical Physics, School of Medicine,University of Patras, Patras 26504, Greece
| | - Spyros Skiadopoulos
- Department of Medical Physics, School of Medicine,University of Patras, Patras 26504, Greece
| | - Alexandra Kazantzi
- Department of Medical Physics, School of Medicine,University of Patras, Patras 26504, Greece
| | | | - Ioannis Pratikakis
- Department of Electrical and Computer Engineering, Democritus University of Thrace, Xanthi 67100, Greece
| | - Lena Costaridou
- Department of Medical Physics, School of Medicine, University of Patras, Patras 26504, Greece
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Constantinou C, Karavia EA, Xepapadaki E, Petropoulou PI, Papakosta E, Karavyraki M, Zvintzou E, Theodoropoulos V, Filou S, Hatziri A, Kalogeropoulou C, Panayiotakopoulos G, Kypreos KE. Advances in high-density lipoprotein physiology: surprises, overturns, and promises. Am J Physiol Endocrinol Metab 2016; 310:E1-E14. [PMID: 26530157 DOI: 10.1152/ajpendo.00429.2015] [Citation(s) in RCA: 32] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/30/2015] [Accepted: 10/30/2015] [Indexed: 12/21/2022]
Abstract
Emerging evidence strongly supports that changes in the HDL metabolic pathway, which result in changes in HDL proteome and function, appear to have a causative impact on a number of metabolic disorders. Here, we provide a critical review of the most recent and novel findings correlating HDL properties and functionality with various pathophysiological processes and disease states, such as obesity, type 2 diabetes mellitus, nonalcoholic fatty liver disease, inflammation and sepsis, bone and obstructive pulmonary diseases, and brain disorders.
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Affiliation(s)
| | - Eleni A Karavia
- Pharmacology Department, University of Patras Medical School, Rio Achaias, Greece
| | - Eva Xepapadaki
- Pharmacology Department, University of Patras Medical School, Rio Achaias, Greece
| | | | - Eugenia Papakosta
- Pharmacology Department, University of Patras Medical School, Rio Achaias, Greece
| | - Marilena Karavyraki
- Pharmacology Department, University of Patras Medical School, Rio Achaias, Greece
| | - Evangelia Zvintzou
- Pharmacology Department, University of Patras Medical School, Rio Achaias, Greece
| | | | - Serafoula Filou
- Pharmacology Department, University of Patras Medical School, Rio Achaias, Greece
| | - Aikaterini Hatziri
- Pharmacology Department, University of Patras Medical School, Rio Achaias, Greece
| | | | | | - Kyriakos E Kypreos
- Pharmacology Department, University of Patras Medical School, Rio Achaias, Greece
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Karatzas A, Triantos C, Kalafateli M, Marzigie M, Labropoulou-Karatza C, Thomopoulos K, Petsas T, Kalogeropoulou C. Multidetector computed tomography versus platelet/spleen diameter ratio as methods for the detection of gastroesophageal varices. Ann Gastroenterol 2016; 29:71-8. [PMID: 26751694 PMCID: PMC4700850] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 10/31/2022] Open
Abstract
BACKGROUND All patients with liver cirrhosis should undergo screening endoscopy, but there are limitations and this approach places a heavy burden upon endoscopy units. The aim of this study was to compare multidetector computed tomography (MDCT) and the platelet/spleen diameter ratio as non-invasive methods for the detection of gastroesophageal varices. METHODS The study included 38 cirrhotics who underwent upper gastrointestinal (GI) endoscopy and MDCT within one month. Two radiologists reviewed the scans, in order to determine the presence and the size of varices. Blood tests and measurement of the spleen maximum diameter were also carried out and the platelet/spleen diameter ratio was calculated. Endoscopy was considered the gold standard and the results of the two methods were compared to it. RESULTS Varices were detected by upper GI endoscopy in 24 of 38 patients. The mean sensitivity and specificity of MDCT for the two observers was 86.1% and 57.1% respectively. In patients with large varices (>5 mm), the sensitivity was 100% (4/4). Using 909 as a cut-off value of the platelet/spleen diameter ratio this method yielded a sensitivity of 56.5% and a specificity of 35.7%. The difference in sensitivity and specificity between the two methods was statistically significant P<0.05. CONCLUSION MDCT was accurate for the detection of gastroesophageal varices, especially those with clinically significant size (>5 mm), and superior to platelet/spleen diameter ratio. MDCT could replace, in selected patients, upper GI endoscopy as a method for detecting gastroesophageal varices in cirrhotic patients.
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Affiliation(s)
- Andreas Karatzas
- Department of Radiology (Andreas Karatzas, Theodoros Petsas, Christina Kalogeropoulou)
| | - Christos Triantos
- Department of Gastroenterology (Christos Triantos, Maria Kalafateli, Misiel Marzigie, Konstantinos Thomopoulos)
| | - Maria Kalafateli
- Department of Gastroenterology (Christos Triantos, Maria Kalafateli, Misiel Marzigie, Konstantinos Thomopoulos)
| | - Misiel Marzigie
- Department of Gastroenterology (Christos Triantos, Maria Kalafateli, Misiel Marzigie, Konstantinos Thomopoulos)
| | | | - Konstantinos Thomopoulos
- Department of Gastroenterology (Christos Triantos, Maria Kalafateli, Misiel Marzigie, Konstantinos Thomopoulos)
| | - Theodoros Petsas
- Department of Radiology (Andreas Karatzas, Theodoros Petsas, Christina Kalogeropoulou)
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Karavia EA, Hatziri A, Kalogeropoulou C, Papachristou NI, Xepapadaki E, Constantinou C, Natsos A, Petropoulou PI, Sasson S, Papachristou DJ, Kypreos KE. Deficiency in apolipoprotein A-I ablates the pharmacological effects of metformin on plasma glucose homeostasis and hepatic lipid deposition. Eur J Pharmacol 2015; 766:76-85. [DOI: 10.1016/j.ejphar.2015.09.040] [Citation(s) in RCA: 6] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/24/2015] [Revised: 09/23/2015] [Accepted: 09/24/2015] [Indexed: 12/25/2022]
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Karamouzos V, Karavias D, Siagris D, Kalogeropoulou C, Kosmopoulou F, Gogos C, Velissaris D. Pancreatic mediastinal pseudocyst presenting as a posterior mediastinal mass with recurrent pleural effusions: a case report and review of the literature. J Med Case Rep 2015; 9:110. [PMID: 25962880 PMCID: PMC4481071 DOI: 10.1186/s13256-015-0582-z] [Citation(s) in RCA: 7] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/04/2014] [Accepted: 03/30/2015] [Indexed: 12/30/2022] Open
Abstract
Introduction A rare complication of chronic pancreatitis is the formation of single or multiple mediastinal pseudocysts, which are fueled from the pancreas through anatomical openings of the diaphragm. We present a rare case with a difficult diagnosis, treatment and potentially catastrophic complications. Case presentation A 53-year-old Caucasian man was referred to our hospital for further investigation and treatment of a large heterogeneous mass situated in the posterior mediastinum, and bilateral pleural effusions which had developed after recent multiple episodes of pancreatitis. He had a history of chronic alcoholism. Laboratory and imaging modalities established the diagnosis of a pancreatic mediastinal pseudocyst. Conclusions Despite successful initial conservative treatment, our patient had a relapse and underwent emergency surgical intervention due to internal hemorrhage. We present his diagnostic and imaging workup, along with the multidisciplinary intervention, and a literature review referring to the diagnosis and treatment of mediastinal pancreatic pseudocysts.
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Affiliation(s)
- Vasilis Karamouzos
- Internal Medicine Department, University Hospital of Patras, Rion, 26500, Greece.
| | - Dimitrios Karavias
- General Surgery Department, University Hospital of Patras, Rion, 26500, Greece.
| | - Dimitrios Siagris
- Internal Medicine Department, University Hospital of Patras, Rion, 26500, Greece.
| | | | - Fay Kosmopoulou
- Internal Medicine Department, University Hospital of Patras, Rion, 26500, Greece.
| | - Charalampos Gogos
- Internal Medicine Department, University Hospital of Patras, Rion, 26500, Greece.
| | - Dimitrios Velissaris
- Internal Medicine Department, University Hospital of Patras, Rion, 26500, Greece.
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Karavias D, Habeos I, Maroulis I, Kalogeropoulou C, Tsamandas A, Chaveles I, Karavias D. Giant malignant insulinoma. Ann Surg Treat Res 2015; 88:289-93. [PMID: 25960993 PMCID: PMC4422883 DOI: 10.4174/astr.2015.88.5.289] [Citation(s) in RCA: 5] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/15/2014] [Revised: 10/27/2014] [Accepted: 10/28/2014] [Indexed: 12/03/2022] Open
Abstract
Insulinomas are the most common pancreatic neuroendocrine tumors. Most insulinomas are benign, small, intrapancreatic solid tumors and only large tumors have a tendency for malignancy. Most patients present with symptoms of hypoglycemia that are relieved with the administration of glucose. We herein present the case of a 75-year-old woman who presented with an acute hypoglycemic episode. Subsequent laboratory and radiological studies established the diagnosis of a 17-cm malignant insulinoma, with local invasion to the left kidney, lymph node metastasis, and hepatic metastases. Patient symptoms, diagnostic and imaging work-up and surgical management of both the primary and the metastatic disease are reviewed.
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Affiliation(s)
| | - Ioannis Habeos
- Division of Endocrinology and Diabetes, Department of Internal Medicine, University Hospital of Patras, Rion, Greece
| | - Ioannis Maroulis
- Department of Surgery, University Hospital of Patras, Rion, Greece
| | | | | | - Ioannis Chaveles
- Department of Surgery, University Hospital of Patras, Rion, Greece
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Kakkos SK, Papadoulas S, Lampropoulos G, Marangos M, Kalogeropoulou C, Tsolakis IA. Aorto-iliac aneurysm infected by Brucella: distinctive presentation patterns of a rare entity. Vascular 2013; 21:307-15. [PMID: 23508391 DOI: 10.1177/1708538113478777] [Citation(s) in RCA: 14] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 03/05/2012] [Indexed: 01/16/2023]
Abstract
There is currently a lack of information on presentation patterns and the appropriate investigation and treatment of aortic brucellosis. Herein a case affecting the iliac component of an aorto-iliac aneurysm, managed successfully with in situ graft repair, is reported. A review of the literature identified 25 cases, with the infrarenal abdominal aorta (65%) followed by the ascending thoracic aorta (23%) being mostly affected; only our case involved the iliacs. Aortic brucellosis affected mostly older men, caused pain more often than fever (in 73% and 57%, respectively), and involved frequently the spine or the aortic valve (n = 14, 56%). Preoperative diagnosis was made more often in the presence of fever (67% versus 18% in afebrile patients, P = 0.021). In situ aneurysm repair in the form of open (54%) or endovascular (8%) grafting was mostly performed. Mortality was 12% and graft infection was 13% at two years. In conclusion, aortic brucellosis has unique presentation patterns, usually affecting an abnormal or aneurysmal aorta and/or due to a contiguous spinal or aortic valve infection. Acute symptomatology with pain and/or fever occurs very often and should raise suspicion for aortic infection. Despite the seriousness of aortic involvement, mortality and reinfection rates are within acceptable levels.
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Affiliation(s)
| | | | | | | | - C Kalogeropoulou
- Department of Radiology, University Hospital of Patras, Patras, Greece
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Maroulis I, Spyropoulos C, Kalogeropoulou C, Karavias D. Use of radiofrequency ablation for controlling liver hemorrhage in the emergency setting; report of two cases and review of the literature. ULUS TRAVMA ACIL CER 2013; 19:167-72. [PMID: 23599203 DOI: 10.5505/tjtes.2013.22567] [Citation(s) in RCA: 7] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/04/2022]
Abstract
Active liver hemorrhage with hemodynamic instability is a serious situation often requiring surgical intervention. The most common causes of hepatic bleeding are trauma and tumors of the liver parenchyma: mainly hepatocellular carcinoma and adenoma. Liver hemorrhage from blunt trauma or spontaneous tumor rupture is sometimes difficult to control with traditional methods and postoperative complications are frequent. Recently, the radiofrequency ablation system (RF) has been used for obtaining haemostasis of ruptured hepatic tumors or for controlling hemorrhage due to liver trauma in experimental models. We report two cases where the radiofrequency ablation system (RF) has been efficiently used during emergency laparotomy in humans in order to control massive hemorrhage from spontaneous rupture of a liver metastatic testicular germ cell tumor and from a Grade IV blunt liver trauma. RF ablation system combined with traditional techniques was effective in controlling liver bleeding during laparotomy in both cases. No recurrence of the hemorrhage or any side effects associated with the RF system were recorded postoperatively. RF system is an effective strategy for achieving hemostasis in patients with active liver hemorrhage. In cases of bleeding liver tumors, RFA could also be helpful in synchronous tumor elimination, maximizing the chances of longer term survival.
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Affiliation(s)
- Ioannis Maroulis
- Department of Surgery, University Hospital of Patras Rion, Patras, Greece
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Rigopoulos C, Kyriazis I, Kallidonis P, Kalogeropoulou C, Koumoundourou D, Georgiopoulos I, Petsas T, Karnabatidis D, Constantinides C, Liatsikos E. Assessing the use of haemostatic sealants in tubeless percutaneous renal access and their effect on renal drainage and histology: an experimental porcine study. BJU Int 2013; 112:E114-21. [PMID: 23551745 DOI: 10.1111/bju.12060] [Citation(s) in RCA: 8] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/27/2022]
Abstract
OBJECTIVE To evaluate the mid-term effects of haemostatic sealant application during tubeless percutaneous nephrolithotomy (PCNL) on renal drainage and histology in an in vivo porcine study. MATERIALS AND METHODS Bilateral percutaneous access was established in 28 porcine renal units. At the end of the procedure, a type 1 absorbable fish origin collagen powder, a human fibrinogen- and thrombin-coated sponge or a cross-linked gelatin granule/topical thrombin matrix were randomly placed on the nephrostomy tracts. Four nephrostomy accesses were left intact and served as controls. No percutaneous tube, ureteric stent or bladder catheter was left in place postoperatively. Computed tomography urography on postoperative days 1, 15, 30 and 40 was used to access renal drainage. On postoperative day 40, all animals were killed and both kidneys from each animal were harvested for histological evaluation. RESULTS Evidence of risk for drainage occlusion after sealant application was found. The use of haemostatic sealants was associated with significant histological lesions in the renal parenchyma, regardless of which sealant was used. No sealant was identified as superior to the others. Nephrostomy tracts that were left without sealant application (control group) were associated with no morbidity and fewer histopathological changes. CONCLUSIONS Based on these experimental results, the safety of the application of haemostatic sealants in tubeless PCNL should be reassessed, focusing not only on the potential of such materials to occlude urinary drainage but also on their effect on renal histology. Further investigation is considered necessary.
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Koukoulaki M, Papachristou E, Kalogeropoulou C, Papathanasiou M, Zampakis P, Vardoulaki M, Alexopoulos D, Goumenos DS. Increased Prevalence and Severity of Coronary Artery Calcification in Patients with Chronic Kidney Disease Stage III and IV. Nephron Extra 2012; 2:192-204. [PMID: 22811693 PMCID: PMC3398832 DOI: 10.1159/000339786] [Citation(s) in RCA: 10] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Indexed: 01/07/2023]
Abstract
Background Cardiovascular disease (CVD) is the main cause of mortality in patients with chronic kidney disease (CKD). The pathophysiology of coronary artery disease in CKD is multifactorial including, in addition to traditional risk factors (hypertension, hyperlipidemia, diabetes mellitus), parameters related to uremia. Methods The study consisted of measuring coronary artery calcification (CAC) score in patients with CKD stage III and IV without history of CVD and in a group of controls with normal renal function matched for age, gender and risk factors using multi-detector computed tomography. Results The study included 49 patients and 49 controls. CAC was present in 79.6% in the CKD group versus 59.2% in the control group (p = 0.028). The median CAC score value in CKD patients was 139 (interquartile range (IQR): 23–321) versus 61 (IQR: 6–205) in controls (p = 0.007). CAC was associated with traditional risk factors such as older age, hypertension and baseline cardiovascular risk score, while CKD patients with severe calcification had marginally lower estimated glomerular filtration rate and increased levels of parathormone. Conclusions CAC is more frequent and severe in patients with CKD stage III and IV compared to matched controls with normal renal function, even though kidney disease-related parameters are not directly correlated with intensity of calcification.
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Affiliation(s)
- Maria Koukoulaki
- Departments of Internal Medicine - Nephrology, University Hospital of Patras, Patras, Greece
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Davlouros P, Vagenakis G, Kalogeropoulou C, Dougenis D, Alexopoulos D. An unexpected cause of acute ST-elevation: an unconsciously swallowed sewing needle migrating to the heart. Int J Cardiol 2012; 158:e9-e10. [PMID: 22078974 DOI: 10.1016/j.ijcard.2011.10.056] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.1] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/21/2011] [Accepted: 10/18/2011] [Indexed: 10/15/2022]
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