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Tkacova K, Idler A, Johnson N, López E. Explaining conflict violence in terms of conflict actor dynamics. Sci Rep 2023; 13:21187. [PMID: 38040778 PMCID: PMC10692117 DOI: 10.1038/s41598-023-48218-x] [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] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/04/2023] [Accepted: 11/23/2023] [Indexed: 12/03/2023] Open
Abstract
We study the severity of conflict-related violence in Colombia at an unprecedented granular scale in space and across time. Splitting the data into different geographical regions and different historically-relevant periods, we uncover variations in the patterns of conflict severity which we then explain in terms of local conflict actors' different collective behaviors and/or conditions using a simple mathematical model of conflict actors' grouping dynamics (coalescence and fragmentation). Specifically, variations in the approximate scaling values of the distributions of event lethalities can be explained by the changing strength ratio of the local conflict actors for distinct conflict eras and organizational regions. In this way, our findings open the door to a new granular spectroscopy of human conflicts in terms of local conflict actor strength ratios for any armed conflict.
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Affiliation(s)
- Katerina Tkacova
- Blavatnik School of Government, University of Oxford, Radcliffe Observatory Quarter, Woodstock Road, Oxford, OX2 6GG, UK
- Global Security Programme, Pembroke College, St. Aldates, Oxford, OX1 1DW, UK
| | - Annette Idler
- Blavatnik School of Government, University of Oxford, Radcliffe Observatory Quarter, Woodstock Road, Oxford, OX2 6GG, UK.
- Global Security Programme, Pembroke College, St. Aldates, Oxford, OX1 1DW, UK.
| | - Neil Johnson
- Dynamic Online Networks Laboratory, George Washington University, Washington, DC, 20052, USA
| | - Eduardo López
- Department of Computational and Data Sciences, George Mason University, 4400 University Dr, Fairfax, VA, 22030, USA
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Moreno-Olmedo E, Suarez V, Chao MWT, Boike TP, Martinez AA, Kishan AU, López E, Low D, Guijarro M, Gejerman G, Engelman A, Schiffman Z, Shore N, Sylvester JE, Rivera D, Lederer J, Nurani R, Mariados NF, King MT. Hyaluronic Acid Rectal Spacer Stability during Radiation Therapy for Localized Prostate Cancer: An Intercontinental Study. Int J Radiat Oncol Biol Phys 2023; 117:e420. [PMID: 37785383 DOI: 10.1016/j.ijrobp.2023.06.1574] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/04/2023]
Abstract
PURPOSE/OBJECTIVE(S) Despite IGRT and IMRT current techniques, rectal toxicity remains a significant problem after prostate cancer radiation therapy but implanted rectal spacers have successfully reduced toxicity rates. We are reporting the results of an intercontinental prospective rectal spacer trial performed at 13 centers in Spain, Australia, and USA. Our hypothesis was that the separation created between the prostate and anterior rectal wall was stable between the time of implant and a 3-month follow-up. MATERIALS/METHODS Our prospective multicenter study was approved by the corresponding IRBs and patients signed informed consent. It was performed between February - June 2021. Patients were imaged using T2 MRI immediately post-implant (MRI-1) and at 3 months (MRI-2). We analyzed the dimensions of hyaluronic acid (HA) rectal spacer inserted for low - intermediate risk prostate cancer treated with EBRT. The rectal displacement was determined by measuring the separation at 3 different levels: prostate midline, midgland +1cm (superior), and midgland -1 cm (inferior), from the posterior prostate capsule to the anterior rectal wall. The core laboratory performed the measurement for all sites. The confidence interval (CI) was computed using a Student's t-distribution. RESULTS A total of 136 patients randomized to the Barrigel arm underwent HA rectal spacing with 100% placement success rate. There were no device failures or surgical complications. Of these, 6 were lost to follow-up. The averages of the remaining 130 patients at the 3 perirectal distances were 13.04 mm +/- 3.1 mm and 12.79 mm +/- 3.5 mm for MRI-1 and MRI-2, respectively with an average difference of -0.17 mm +/- 3.48 mm. Additional parameters are listed on the table. CONCLUSION The results demonstrate the stability of the HA-created separation at the three different prostatic levels for up to 3 months. These findings show dimensional stability well within standard clinical margins. This indicates reliability for HA use in most clinics, as the results are relevant in the setting of dose escalation or ultra-hypofractionation schedules, as well as conventional fractionation.
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Affiliation(s)
| | - V Suarez
- GenesisCare Spain, Madrid, Spain
| | | | - T P Boike
- GenesisCare USA / Michigan Healthcare Professionals, Troy, MI
| | | | - A U Kishan
- University of California Los Angeles, Department of Radiation Oncology, Los Angeles, CA
| | - E López
- GenesisCare Spain, Madrid, Spain
| | - D Low
- Department of Radiation Oncology, University of California Los Angeles, Los Angeles, CA
| | | | | | | | | | - N Shore
- Carolina Urologic Research Center, Myrtle Beach, SC
| | - J E Sylvester
- 21st Century Oncology - Sarasota, Lakewood Ranch, FL
| | - D Rivera
- Austin Cancer Centers, Austin, TX
| | - J Lederer
- The Cancer Center of Hawaii, Honolulu, HI
| | - R Nurani
- MultiCare Regional Cancer Center, Tacoma, WA
| | - N F Mariados
- Associated Medical Professionals of NY PLLC, Syracuse, NY
| | - M T King
- Department of Radiation Oncology, Brigham and Women's Hospital and Dana-Farber Cancer Institute, Harvard Medical School, Boston, MA
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Vergara Hidd V, Zhang M, Centellegher S, Roberts SGB, Lepri B, López E. The rhythms of transient relationships: allocating time between weekdays and weekends. R Soc Open Sci 2023; 10:230834. [PMID: 37885985 PMCID: PMC10598443 DOI: 10.1098/rsos.230834] [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] [Subscribe] [Scholar Register] [Received: 06/15/2023] [Accepted: 10/02/2023] [Indexed: 10/28/2023]
Abstract
A fundamental question of any new relationship is, will it last? Transient relationships, recently defined by the authors, are an ideal type of social tie to explore this question: these relationships are characterized by distinguishable starting and ending temporal points, linking the question of tie longevity to relationship finite lifetime. In this study, we use mobile phone data sets from the UK and Italy to analyse the weekly allocation of time invested in maintaining transient relationships. We find that more relationships are created during weekdays, with a greater proportion of them receiving more contact during these days of the week in the long term. The smaller group of relationships that receive more phone calls during the weekend tend to remain active for more time. We uncover a sorting process by which some ties are moved from weekdays to weekends and vice versa, mostly in the first half of the relationship. This process also carries more information about the ultimate lifetime of a tie than the part of the week when the relationship started, which suggests an early evaluation period that leads to a decision on how to allocate time to different types of transient ties.
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Affiliation(s)
| | - Mailun Zhang
- Computational and Data Sciences, George Mason University, Fairfax, VA, USA
| | | | - Sam G. B. Roberts
- Department of Psychology, Liverpool John Moores University, Liverpool, UK
| | | | - Eduardo López
- Computational and Data Sciences, George Mason University, Fairfax, VA, USA
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Torres-Muñoz J, Hoyos IV, Murillo J, Holguin J, Dávalos D, López E, Torres-Figueroa S. Device-associated infections in neonatal care units in a middle-income country, 2016-2018. J Pediatr (Rio J) 2023; 99:485-491. [PMID: 37148912 PMCID: PMC10492145 DOI: 10.1016/j.jped.2023.03.004] [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] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/22/2023] [Revised: 03/26/2023] [Accepted: 03/27/2023] [Indexed: 05/08/2023] Open
Abstract
OBJECTIVE Describe the device-associated infections in the NICUs in Cali - Colombia, a middle-income country, between August 2016 to December 2018. METHODS Observational cross-sectional study evaluating reports of device-associated infections in 10 NICUs in Cali, Colombia, between August 2016 and December 2018. Socio-demographic and microbiological data were obtained from the National Public Health surveillance system, through a specialized notification sheet. The relationship of device-associated infections with several outcomes including birth weight, microorganisms, and mortality was evaluated using OR CI95%, using the logistic regression model. Data processing was performed using the statistical program STATA 16. RESULTS 226 device-associated infections were reported. The rate of infection with central line-associated bloodstream infections was 2.62 per 1000 days of device use and 2.32 per 1000 days for ventilator-associated pneumonia. This was higher in neonates under 1000 g; 4.59 and 4.10, respectively. 43.4% of the infections were due to gram-negative bacteria and 42.3% were due to gram-positive bacteria. Time from hospitalization to diagnosis of all device-associated infections had a median of 14 days. When compared by weight, infants with a weight lower than 1000 g had a greater chance of death (OR 3.61; 95% CI 1.53-8.49, p = 0.03). Infection by gram-negative bacteria was associated with a greater chance of dying (OR 3.06 CI 95 1.33-7.06, p = 0.008). CONCLUSIONS These results highlight the need to maintain epidemiological surveillance processes in neonatal intensive care units, especially when medical devices are used.
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Affiliation(s)
- Javier Torres-Muñoz
- Universidad del Valle, Faculty of Health, INSIDE Group Research-School of Medicine, Cali, Colombia; Universidad del Valle, Department of Pediatrics, Cali, Colombia.
| | - Ingrith Viviana Hoyos
- Universidad del Valle, Faculty of Health, INSIDE Group Research-School of Medicine, Cali, Colombia; Universidad del Valle, Department of Pediatrics, Cali, Colombia
| | - Jennifer Murillo
- Universidad del Valle, Faculty of Health, INSIDE Group Research-School of Medicine, Cali, Colombia
| | - Jorge Holguin
- Secretary of Health, Epidemiological Surveillance Group, Cali, Colombia
| | - Diana Dávalos
- Universidad Icesi, Department of Public Health, Cali, Colombia; Center for Studies in Pediatric Infectology, Cali, Colombia
| | - Eduardo López
- Universidad del Valle, Department of Pediatrics, Cali, Colombia; Center for Studies in Pediatric Infectology, Cali, Colombia; Imbanaco Clinic, Quironsalud Group, Cali, Colombia
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Webb F, Stimpson D, Purcell M, López E. Organizational Labor Flow Networks and Career Forecasting. Entropy (Basel) 2023; 25:e25050784. [PMID: 37238540 DOI: 10.3390/e25050784] [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] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 02/28/2023] [Revised: 04/21/2023] [Accepted: 05/01/2023] [Indexed: 05/28/2023]
Abstract
The movement of employees within an organization is a research area of great relevance in a variety of fields such as economics, management science, and operations research, among others. In econophysics, however, only a few initial incursions have been made into this problem. In this paper, based on an approach inspired by the concept of labor flow networks which capture the movement of workers among firms of entire national economies, we construct empirically calibrated high-resolution networks of internal labor markets with nodes and links defined on the basis of different descriptions of job positions, such as operating units or occupational codes. The model is constructed and tested for a dataset from a large U.S. government organization. Using two versions of Markov processes, one without and another with limited memory, we show that our network descriptions of internal labor markets have strong predictive power. Among the most relevant findings, we observe that the organizational labor flow networks created by our method based on operational units possess a power law feature consistent with the distribution of firm sizes in an economy. This signals the surprising and important result that this regularity is pervasive across the landscape of economic entities. We expect our work to provide a novel approach to study careers and help connect the different disciplines that currently study them.
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Affiliation(s)
- Frank Webb
- Department of Computational and Data Sciences, George Mason University, Fairfax, VA 22030, USA
| | - Daniel Stimpson
- United States Army Acquisition Support Center (USAASC), 9900 Belvoir Road, Fort Belvoir, VA 22060, USA
| | - Miesha Purcell
- United States Army Acquisition Support Center (USAASC), 9900 Belvoir Road, Fort Belvoir, VA 22060, USA
| | - Eduardo López
- Department of Computational and Data Sciences, George Mason University, Fairfax, VA 22030, USA
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Hidd VV, López E, Centellegher S, Roberts SGB, Lepri B, Dunbar RIM. The stability of transient relationships. Sci Rep 2023; 13:6120. [PMID: 37059731 PMCID: PMC10104882 DOI: 10.1038/s41598-023-32206-2] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/18/2022] [Accepted: 03/24/2023] [Indexed: 04/16/2023] Open
Abstract
In contrast to long-term relationships, far less is known about the temporal evolution of transient relationships, although these constitute a substantial fraction of people's communication networks. Previous literature suggests that ratings of relationship emotional intensity decay gradually until the relationship ends. Using mobile phone data from three countries (US, UK, and Italy), we demonstrate that the volume of communication between ego and its transient alters does not display such a systematic decay, instead showing a lack of any dominant trends. This means that the communication volume of egos to groups of similar transient alters is stable. We show that alters with longer lifetimes in ego's network receive more calls, with the lifetime of the relationship being predictable from call volume within the first few weeks of first contact. This is observed across all three countries, which include samples of egos at different life stages. The relation between early call volume and lifetime is consistent with the suggestion that individuals initially engage with a new alter so as to evaluate their potential as a tie in terms of homophily.
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Affiliation(s)
- Valentín Vergara Hidd
- Computational and Data Sciences Department, George Mason University, Fairfax, 22030, USA.
| | - Eduardo López
- Computational and Data Sciences Department, George Mason University, Fairfax, 22030, USA
| | - Simone Centellegher
- Fondazione Bruno Kessler, Mobile and Social Computing Lab, Trento, 38123, Italy
| | - Sam G B Roberts
- School of Psychology, Liverpool John Moores University, Liverpool, L3 3AF, UK
| | - Bruno Lepri
- Fondazione Bruno Kessler, Mobile and Social Computing Lab, Trento, 38123, Italy
| | - Robin I M Dunbar
- Department of Experimental Psychology, University of Oxford, Oxford, OX2 66G, UK
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Solla P, Díaz R, Herrera J, Del Valle R, Moreno C, Almendarez M, López E, Álvarez R, Morís-de la Tassa C, Gutiérrez J. [Cognitive impairment in the elderly patient with symptomatic severe aortic stenosis. Therapeutic decisions and impact on one-year mortality]. Rev Neurol 2023; 76:127-135. [PMID: 36782348 PMCID: PMC10364070 DOI: 10.33588/rn.7604.2022300] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/15/2023]
Abstract
INTRODUCTION Interventional treatment of severe aortic stenosis includes valve replacement by surgery or transcatheter - transcatheter aortic valve implantation (TAVI). In order to make an adequate selection and to rule out patients with little/no therapeutic benefit, it is recommended to assess comorbidities, frailty and cognitive impairment. AIMS a) To determine the prevalence of cognitive impairment in older patients with severe aortic stenosis; b) to analyse its influence on decision-making (surgery, TAVI or conservative treatment); and c) to analyse its impact on mortality at one year. MATERIAL AND METHODS Prospective, longitudinal epidemiological study of patients aged 75 years and older with severe aortic stenosis treated by the Heart-Team. VARIABLES sociodemographic, clinical, cardiological, functional and mental variables; cognitive impairment assessed by applying the Mini-Mental State Examination (MMSE). RESULTS We included 300 patients in the study (83.99 ± 4.02 years old; 61.2%, women). Prevalence of cognitive impairment of 15.3%, which was associated with albumin level - odds ratio (OR): 0.082; p = 0.011 - and Barthel (OR: 0.962; p = 0.02) and Lawton (OR: 0.787; p = 0.025) index scores. Surgery was chosen in 24.7% of cases; TAVI in 63.3%; and conservative treatment in 12%. This decision was associated with the score on the Barthel (OR: 0.93; p = 0.012) and Lawton indices (OR: 0.678; p = 0.014), the Short Physical Performance Battery (OR: 0.75; p = 0.037) and the MMSE (OR: 0.691; p < 0.001). Mortality at one year was 14%, and higher in patients with MMSE scores <24 (23.5% vs. 12.8%; p = 0.094). CONCLUSIONS Cognitive impairment is a very common geriatric syndrome in older patients with severe aortic stenosis that is associated with functional disability in activities of daily living. Cognitive impairment has a high impact on decision-making and appears to be a variable associated with increased mortality.
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Affiliation(s)
- P Solla
- Hospital Monte Naranco, 33012 Oviedo, España.,Instituto de Investigación Sanitaria del Principado de Asturias, Oviedo, España
| | - R Díaz
- Hospital Universitario Central de Asturias, Oviedo, España.,Instituto de Investigación Sanitaria del Principado de Asturias, Oviedo, España
| | - J Herrera
- Hospital Monte Naranco, 33012 Oviedo, España
| | - R Del Valle
- Hospital Universitario Central de Asturias, Oviedo, España
| | - C Moreno
- Hospital Monte Naramco, Oviedo, España
| | - M Almendarez
- Hospital Universitario Central de Asturias, Oviedo, España.,Instituto de Investigación Sanitaria del Principado de Asturias, Oviedo, España
| | - E López
- Hospital Monte Naranco, 33012 Oviedo, España
| | - R Álvarez
- Hospital Universitario Central de Asturias, Oviedo, España.,Instituto de Investigación Sanitaria del Principado de Asturias, Oviedo, España
| | - C Morís-de la Tassa
- Hospital Universitario Central de Asturias, Oviedo, España.,Universidad de Oviedo, Oviedo, España.,Instituto de Investigación Sanitaria del Principado de Asturias, Oviedo, España
| | - J Gutiérrez
- Hospital Monte Naranco, 33012 Oviedo, España.,Instituto de Investigación Sanitaria del Principado de Asturias, Oviedo, España
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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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Izurieta E, Pedernera M, López E. PROCESS INTENSIFICATION FOR HYDROGEN PRODUCTION FROM AMMONIA. LAAR 2023. [DOI: 10.52292/j.laar.2023.1090] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 01/05/2023]
Abstract
Ammonia is presented as one of the main carriers for the transport and storage of hydrogen under mild conditions. In this context, the present work introduces the integration and intensification of an ultrapure hydrogen production process from ammonia as a feedstock. A production scale is set to satisfy the requirements of a typical hydrogen refueling station (200 kgH2/day). A multifunctional shell-and-tube reactor is designed to carry out the ammonia cracking reaction. The system operates at a moderate pressure (8 bar) and in a temperature range for the ammonia decomposition reaction between 300 °C and 650 °C. Total ammonia conversion is achieved due to the chemical equilibrium shift by H2 extraction through the incorporation of 100 % selective membranes. The Pd-Ag membranes provide a recovery of about 86 % of the hydrogen produced. The remaining hydrogen (i.e., the non-permeated stream) is catalytically combusted representing the only source of heat of the entire process.
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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: 43] [Impact Index Per Article: 21.5] [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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Gómez Torres I, Menor PD, Alcobilla E, Ridaura N, López E, Ponce P, Monzó C, Laguna M. P-040 DIFFUSE LARGE CELL B LYMPHOMA TYPE ACTIVATED B CELL (MANTLE LYMPHOMA) AS A DIFFERENTIAL DIAGNOSIS OF INGUINAL HERNIA. A RARE FINDING. Br J Surg 2022. [DOI: 10.1093/bjs/znac308.139] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/15/2022]
Abstract
Abstract
Introduction
Mantle cell lymphoma is a rare type of B-cell non-Hodgkin lymphoma. It represents 7% of lymphomas in Europe, with an incidence of between 4 and 8 cases/year per million-hab. More frequent in men with a 4:1 ratio and middle-age.
We present a diagnosed clinical case of MCL with an infrequent presentation.
Material & Methods
A 70-year-old male affected by left inguinal tumor after physical exertion 6 months before the consultation.
Abdominal ultrasound and CT scan describe an extra testicular 3cm lesion with irregular edges without extension to other structures with possible signs of malignancy.
Surgery is performed with the lesion bloc excision including left test and elements of the spermatic cord.
Results
The analysis of Pathological Anatomy shows us as a result a diffuse large cell B Lymphoma type Polymorphic Mantle Cell Lymphoma.
The postoperative extension study (PET) shows no residual tumor or medullary involvement, suggestive of stage I.
Discussion
MCL is a rare type of lymphoma, characterized by translocation (11;14) (q13; q32) leading to overexpression of cyclin D1.
Most common presentation of MCL is B symptoms (up to 40%) fever, night sweats. Others include asthenia, nighttime pruritus, adenopathies, and hepatic or splenic enlargement.
Finally, CML can present with extranodal disease, digestive system, respiratory system, nervous system, endocrine or salivary glands.
It is a highly aggressive type of lymphoma that is usually diagnosed in advanced stages (90% cases), with poor prognosis with a life expectancy of 4 years despite optimal treatment.
Current treatment consists of a combination of chemotherapy and immunotherapy.
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Affiliation(s)
- I Gómez Torres
- General and Digestive Surgery Department, Hospital General Universitari de Castelló , Castelló de la Plana , Spain
| | - P D Menor
- General and Digestive Surgery Department , HGUCS, Castelló , Spain
| | - E Alcobilla
- General and Digestive Surgery Department , HGUCS, Castelló , Spain
| | - N Ridaura
- Urology Department , HGUCS, Castelló , Spain
| | - E López
- General and Digestive Surgery Department , HGUCS, Castelló , Spain
| | - P Ponce
- Urology Department , HGUCS, Castelló , Spain
| | - C Monzó
- Pathology Department , HGUCS, Castelló , Spain
| | - M Laguna
- General and Digestive Surgery Department , HGUCS, Castelló , Spain
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12
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Luna E, Salas L, Sohn E, Ruiz E, Herrera J, Valdez J, López E, Quirós F. High-resolution phase-shifting Ronchi test. Appl Opt 2022; 61:7875-7882. [PMID: 36255907 DOI: 10.1364/ao.468068] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Received: 06/23/2022] [Accepted: 08/22/2022] [Indexed: 06/16/2023]
Abstract
A method adding phase-shifting capacity in two mutually perpendicular axes to the Ronchi test is presented in this work. The phase of the object with the position of the reflected ray on the grating was identified and used to solve the equation of reflection in two orthogonal directions. In this manner, the test-surface figure was obtained. The procedure was demonstrated with an inverse qualitative test and a direct, quantitative test. Both tests give results comparable to Fizeau interferometry, with the precision of the order of 25 nm peak to valley. This technique is a good alternative to interferometry because, in addition to its inherent high-resolution, it is possible to obtain the radius of curvature and conic constant, which interferometers, requiring auxiliary optics, cannot provide. This method also has a high dynamic range and is not as susceptible to vibrations or turbulence. The setup can be built with low-cost, readily available components, is easily aligned, uses a white light source, and can be made very lightweight and compact, which makes it ideal for mounting onto existing polishing machines in any optical fabrication workshop, to perform in situ surface metrology.
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O'Reilly E, Golan T, Ikeda M, Milella M, Taieb J, Wainberg Z, Wang L, Gyambibi N, López E, Xu K, Macarulla T. P-22 Phase III study (daNIS-2) of the anti–TGF-β monoclonal antibody NIS793 with nab-paclitaxel/gemcitabine vs nab-paclitaxel/gemcitabine alone in patients with first-line metastatic pancreatic ductal adenocarcinoma. Ann Oncol 2022. [DOI: 10.1016/j.annonc.2022.04.113] [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] [Subscribe] [Scholar Register] [Indexed: 12/01/2022] Open
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14
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gonsalves D, Fernandez J, Seral A, Sanchez J, Luguera E, Pajaro I, Parra A, Ferrer C, López L, López S, Carreras A, López E. PD-0654 Surface Guided Radiotherapy accuracy vs tattoos position in 5- fractions breast radiotherapy. Radiother Oncol 2022. [DOI: 10.1016/s0167-8140(22)02901-2] [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] [Subscribe] [Scholar Register] [Indexed: 11/29/2022]
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15
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de Pedro M, Pulido M, Marinaro F, Pérez VÁ, Díaz CB, Blanco-Blazquez V, Sánchez-Margallo F, Crisostomo V, Casado JG, López E. Exosomes/EVs: TRANSCRIPTOMIC ANALYSIS IN REMOTE MYOCARDIUM AFTER ADMINISTRATION OF SECRETOMES FROM MENSTRUAL BLOOD-DERIVED STROMAL CELLS IN SWINE INFARCTION MODEL. Cytotherapy 2022. [DOI: 10.1016/s1465-3249(22)00269-9] [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] [Subscribe] [Scholar Register] [Indexed: 11/26/2022]
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16
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Pulido M, de Pedro M, Pérez VÁ, Marinaro F, Sánchez-Margallo F, Casado JG, López E. Exosomes/EVs: DEVELOPMENT OF AN IN VITRO PROTOCOL TO DIFFERENTIATE PORCINE MACROPHAGES TO DETERMINE THE IMMUNOMODULATORY CAPACITY OF CELL-FREE THERAPIES. Cytotherapy 2022. [DOI: 10.1016/s1465-3249(22)00270-5] [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] [Subscribe] [Scholar Register] [Indexed: 11/24/2022]
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17
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de Pedro M, Pulido M, Pérez VÁ, Marinaro F, Sánchez-Margallo F, Casado JG, López E. Mesenchymal Stem/Stromal Cells: PRIMING APPROACHES TO IMPROVE THE THERAPEUTIC POTENTIAL OF MENSTRUAL BLOOD-DERIVED STROMAL CELLS. Cytotherapy 2022. [DOI: 10.1016/s1465-3249(22)00239-0] [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] [Subscribe] [Scholar Register] [Indexed: 11/03/2022]
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18
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Cruz R, López E, Meneses C, Alegría Y. Bacteriemia por Enterobacter cancerogenus en un paciente con trauma pélvico. Rev Chilena Infectol 2022; 39:218-220. [DOI: 10.4067/s0716-10182022000200218] [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] [Subscribe] [Scholar Register] [Received: 11/23/2021] [Accepted: 02/28/2022] [Indexed: 11/17/2022] Open
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Izurieta EM, Cañete B, Pedernera MN, López E. Biofuels-based hybrid MCFC/gas turbine plant design and simulation for power and heat generation. Braz J Chem Eng 2022. [DOI: 10.1007/s43153-021-00194-3] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 11/24/2022]
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Fondevilla A, Serradilla A, Moreno-Olmedo E, Matskov K, Belmonte M, Sáez A, Acevedo M, López E. Radiochemotheraphy-induced oral mucositis: Ectoin solution as a new treatment. J Clin Exp Dent 2022; 14:e433-e438. [PMID: 35582354 PMCID: PMC9094725 DOI: 10.4317/jced.59110] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/03/2021] [Accepted: 03/28/2022] [Indexed: 11/14/2022] Open
Abstract
Background The current treatment for head and neck cancer involves radiotherapy, systemic therapy and surgery in a multidisciplinary approach. Unfortunately, cancer therapies can lead to local and systemic complications or side effects such as mucositis, which is the most common dose-dependent complication in the oral cavity and gastrointestinal tract. Mucositis can cause a considerably reduced quality of life in cancer patients already suffering from physical and psychological exhaustion. Moreover, radiotherapy interruptions due to toxicity can impact negatively in local control and survival. The main purpose of this study was to analyze patient satisfaction of Ectoin solution use in radiotherapy or radiochemotherapy-induced oral mucositis.
Material and Methods This is an institutional prospective analysis including 15 patients, conducted by two Spanish centers, between October 2019 and May 2020. Patients were treated with Ectoin solution during Radiotherapy and one month after the end of the treatment, three times per day. A seven-ítem Likert scale was used. We present our descriptive statistic regarding doctors and patients´s satisfaction.
Results Our results suggest that Ectoin solution relieves mucositis and is well tolerated by patients.
Conclusions We observed a favorable repercussion in the oral mucositis management and suggest a potential benefit of treating it. Key words:Radiotherapy, oral mucositis, head and neck cancer, ectoine, oral care.
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García-Moreno V, Maiocchi K, Gómez-Quiles L, Villarin-Rodríguez A, Aliaga-Hilario E, Martínez-Hernández A, Abdelkader N, López E, Escrig-Sos J, Laguna-Sastre JM. Treatment of esophageal perforation: A review of our experience at a tertiary referral hospital spanning the past 19 years. Rev Gastroenterol Mex (Engl Ed) 2021; 87:405-410. [PMID: 34887217 DOI: 10.1016/j.rgmxen.2021.11.014] [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] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/02/2020] [Accepted: 02/06/2021] [Indexed: 11/19/2022] Open
Abstract
INTRODUCTION AND AIMS Esophageal perforation is an uncommon event that is a medical/surgical emergency, with a 15-30% mortality rate. The aim of the present study was to communicate our experience in the management of esophageal perforation, evaluating the different strategies utilized, in an effort to establish measures to guide decision-making in selecting treatment. MATERIALS AND METHODS A retrospective descriptive study was conducted on patients diagnosed with esophageal perforation at our hospital center, within the time frame of 2000 and 2019. RESULTS Over the past 19 years, 15 patients were diagnosed with esophageal perforation. Surgical treatment was carried out in 80% of the cases. Primary closure, reinforced with plasty, was performed in 67% of the patients, of whom 62.5% had early diagnosis and a 100% survival rate. Diagnosis was late in 37.5% of the cases, with a 33.3% survival rate. Esophagectomy and gastric pull-up were performed on 25% of the patients, 66.6% of whom had early diagnosis and a 100% survival rate. In the 33.3% that had late diagnosis, the mortality rate was 100%. Esophagectomy, with cervical esophagostomy and feeding jejunostomy, was performed on one of the patients (8.3%) that had early diagnosis and a 100% survival rate. CONCLUSIONS The main survival predictor in esophageal perforation is the interval of time between the injury and its diagnosis, and in turn, the resulting treatment. Each patient with esophageal perforation should have individualized treatment to adequately manage the condition.
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Affiliation(s)
- V García-Moreno
- Servicio de Cirugía General y del Aparato digestivo, Hospital General Universitario de Castellón, Castellón de la Plana, Spain.
| | - K Maiocchi
- Servicio de Cirugía General y del Aparato digestivo, Hospital General Universitario de Castellón, Castellón de la Plana, Spain
| | - L Gómez-Quiles
- Servicio de Cirugía General y del Aparato digestivo, Hospital General Universitario de Castellón, Castellón de la Plana, Spain
| | - A Villarin-Rodríguez
- Servicio de Cirugía General y del Aparato digestivo, Hospital General Universitario de Castellón, Castellón de la Plana, Spain
| | - E Aliaga-Hilario
- Servicio de Cirugía General y del Aparato digestivo, Hospital General Universitario de Castellón, Castellón de la Plana, Spain
| | - A Martínez-Hernández
- Servicio de Cirugía General y del Aparato digestivo, Hospital General Universitario de Castellón, Castellón de la Plana, Spain
| | - N Abdelkader
- Servicio de Cirugía General y del Aparato digestivo, Hospital General Universitario de Castellón, Castellón de la Plana, Spain
| | - E López
- Servicio de Cirugía General y del Aparato digestivo, Hospital General Universitario de Castellón, Castellón de la Plana, Spain
| | - J Escrig-Sos
- Servicio de Cirugía General y del Aparato digestivo, Hospital General Universitario de Castellón, Castellón de la Plana, Spain
| | - J M Laguna-Sastre
- Servicio de Cirugía General y del Aparato digestivo, Hospital General Universitario de Castellón, Castellón de la Plana, Spain
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dos Santos Ferreira CE, Gómez-Dantés H, Junqueira Bellei NC, López E, Nogales Crespo KA, O’Ryan M, Villegas J. The Role of Serology Testing in the Context of Immunization Policies for COVID-19 in Latin American Countries. Viruses 2021; 13:2391. [PMID: 34960660 PMCID: PMC8706237 DOI: 10.3390/v13122391] [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] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/30/2021] [Revised: 11/18/2021] [Accepted: 11/18/2021] [Indexed: 12/16/2022] Open
Abstract
This review aims to explore the role and value of serology testing in the context of COVID-19 immunization policies in Latin American countries and the barriers and challenges to the adequate use and uptake of this tool. It builds on a review of the academic literature, evidence, and existing policies, and includes a multistage process of discussion and feedback by a group of five experts. Regional and country-level evidence and resources from five focus countries-Argentina, Brazil, Chile, Colombia, and Mexico-were collected and analyzed. This review contains an overview of (1) the impact of the SARS-CoV-2 pandemic, the variants of concern and current testing strategies, (2) the introduction of COVID-19 vaccination, (3) the potential use of serology testing to support immunization initiatives, (4) the current frameworks for the use of serology testing in the region, and (5) the barriers and challenges to implementing serology testing in the context of COVID-19 immunization policies, including a discussion on the potential actions required to address these barriers and facilitate the uptake of this strategy in the region. Stakeholders can use elements of this document to guide timely decision-making, raise awareness, and inspire further studies.
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Affiliation(s)
- Carlos E. dos Santos Ferreira
- Clinical Pathology, Hospital Israelita Albert Einstein, São Paulo 05652-900, Brazil;
- Microbiology Sector, Federal University of São Paulo’s Central Laboratory Activities, São Paulo 04088-002, Brazil
- Brazilian Society of Clinical Pathology and Laboratory Medicine, Rio de Janeiro 22220-040, Brazil
| | | | | | - Eduardo López
- Department of Medicine, Hospital de Niños Gutiérrez, Buenos Aires C1425-EFD, Argentina;
- Pediatric Infectious Diseases Program, Faculty of Medicine, University of Buenos Aires, Buenos Aires C1121-ABG, Argentina
- Pediatrics and Vaccinology, Faculty of Medicine, University of Salvador, Buenos Aires C1055-AAG, Argentina
| | | | - Miguel O’Ryan
- Institute of Biomedical Sciences, Faculty of Medicine, University of Chile, Santiago de Chile 8380000, Chile;
- Millennium Institute of Immunology and Immunotherapy, University of Chile, Santiago de Chile 8331150, Chile
- Chilean Academy of Medicine, Santiago de Chile 6500445, Chile
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Cruz-Choappa R, Dabanch J, López E. [Probable case of severe SARS-CoV-2 reinfection with Legionella pneumophila co-infection]. Rev Chilena Infectol 2021; 38:564-567. [PMID: 34652404 DOI: 10.4067/s0716-10182021000400564] [Citation(s) in RCA: 2] [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] [Received: 01/20/2021] [Accepted: 05/25/2021] [Indexed: 11/17/2022] Open
Abstract
The immunity conferred after a first SARS-CoV-2 infection and the consequent risk of persistent infection or reinfection are not fully elucidated. There are reports both in Europe and in North America of reinfection cases, recently highlighting the first case published in South America. On the other hand, reports of co-infections have been increasing, including those associated with Legionella pneumophila . We present the case of a 47-year-old male, health personnel who, after four months of a first SARS-CoV-2 infection, suffers a severe pneumonia certifying a new SARS-CoV-2 infection and a L. pneumophila co-infection by urinary antigen detection. He was treated in the ICU, requiring mechanical ventilation, dexamethasone, and moxifloxacin, with a good response. He is currently in respiratory and motor rehabilitation.
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Affiliation(s)
- Rodrigo Cruz-Choappa
- Centro de Diagnóstico e Investigación de Enfermedades Infecciosas (CDIEI), Instituto de Seguridad del Trabajador de Viña del Mar, Universidad de Valparaíso, Chile
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Cruz-Choappa R, Vieille P, Leiva Y, Noguera M, López E. [Increase in the positivity of the galactomannan biomarker during the COVID-19 pandemic in the Fifth Region: Valparaíso]. Rev Chilena Infectol 2021; 38:340-343. [PMID: 34479289 DOI: 10.4067/s0716-10182021000300340] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/16/2020] [Accepted: 03/18/2021] [Indexed: 11/17/2022] Open
Abstract
BACKGROUND The current pandemic due to SARS-CoV-2 has caused a high burden on health. Cases and series of invasive aspergillosis associated with COVID-19 patients (CAPA) on mechanical ventilation have been described. AIM To describe the increase in the positivity of the galactomannan (GM) biomarker during the COVID-19 pandemic in the Fifth Region: Valparaíso. METHOD Retrospective descriptive study. The GM results in both broncho-alveolar lavage (BAL) and serum and the BAL cultures that were sent to the Mycology Laboratory of the University of Valparaíso from January to September 2020 were reviewed; then they were compared with the examinations of the same period of 2019. RESULTS There was a significant increase in GMs carried out in LBA during the pandemic, concentrating mainly between the months of July-September. CONCLUSIONS There was a significant increase in GM carried out in LBA during the pandemic, concentrating mainly between the months of July-September.
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Affiliation(s)
- Rodrigo Cruz-Choappa
- Infectología y Laboratorio de Micología, Universidad de Valparaíso, Valparaíso, Chile
| | - Peggy Vieille
- Laboratorio de Micología, Universidad de Valparaíso, Valparaíso, Chile
| | - Yerko Leiva
- Laboratorio de Micología, Universidad de Valparaíso, Valparaíso, Chile
| | - Melissa Noguera
- Laboratorio de Micología, Universidad de Valparaíso, Valparaíso, Chile
| | - Eduardo López
- Infectología y Laboratorio de Micología, Universidad de Valparaíso, Valparaíso, Chile
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Moreno Olmedo E, Nagore G, Suárez Gironzini V, Minguez C, Gómez E, Garcia A, Ciapa V, Marrone I, López E. PO-1369 HDR Brachytherapy Monotherapy in patients with Low/Intermediate-risk Prostate Cancer. Radiother Oncol 2021. [DOI: 10.1016/s0167-8140(21)07820-8] [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] [Subscribe] [Scholar Register] [Indexed: 11/16/2022]
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Cabrera JP, Vera F, López E, Luna F. Letter to the Editor regarding "Use of intra-operative stimulation of brainstem lesion target sites for frameless stereotactic biopsies". Childs Nerv Syst 2021; 37:2133-2135. [PMID: 33909084 DOI: 10.1007/s00381-021-05180-1] [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] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/19/2021] [Accepted: 04/19/2021] [Indexed: 10/21/2022]
Affiliation(s)
- Juan P Cabrera
- Department of Neurosurgery, Hospital Clínico Regional de Concepción, San Martín 1436, Concepción, Chile. .,Faculty of Medicine, University of Concepción, Concepción, Chile.
| | - Franco Vera
- Faculty of Medicine, University of Concepción, Concepción, Chile
| | - Eduardo López
- Department of Neurosurgery, Hospital Clínico Regional de Concepción, San Martín 1436, Concepción, Chile
| | - Francisco Luna
- Department of Neurosurgery, Hospital Clínico Regional de Concepción, San Martín 1436, Concepción, Chile.,Faculty of Medicine, University of Concepción, Concepción, Chile
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Cruz-Choappa R, López E, Ocara M, Leiva Y. [Myroides odoratimimus, a rare cause of soft tissue infection and osteomyelitis. Case report]. Rev Chilena Infectol 2021; 38:297-299. [PMID: 34184722 DOI: 10.4067/s0716-10182021000200297] [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] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/29/2020] [Accepted: 03/17/2021] [Indexed: 11/17/2022] Open
Abstract
Infections due to Gram-negative bacteria of the genus Myroides are very rare and generally affect the skin and soft tissues of patients with some degree of immunocompromise. We present a case of a 23-year-old patient with a history of myelomeningocele surgically resolved at 3 years of age and bot foot, who presented with a deep infection of the right lower extremity by Myroides odoratimimus. The species identification was carried out with MALDI-TOF and the treatment was initially carried out with meropenem and finally then ciprofloxacin, in addition to right supramaleolar amputation.
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Affiliation(s)
| | - Eduardo López
- Facultad de Medicina, Universidad de Valparaíso, Chile
| | - Miranda Ocara
- Facultad de Medicina, Universidad de Valparaíso, Chile
| | - Yerko Leiva
- Laboratorio Clínico, Universidad de Valparaíso, Chile
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Beltrán M, Juan J, Sánchez F, Diranzo M, Monzó A, Rechi K, López E. Cognitive fusion-guided prostate biopsy with multiparametric magnetic resonance imaging versus high-resolution microultrasound-guided biopsy in prostate cancer diagnosis. Eur Urol 2021. [DOI: 10.1016/s0302-2838(21)01329-4] [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] [Subscribe] [Scholar Register] [Indexed: 10/20/2022]
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Moreno Olmedo E, Nagore G, Suárez-Gironzini V, Minguez C, Gómez E, Garcia A, Ciapa V, Marrone I, López E. PP-0159 HDR Brachytherapy Monotherapy in patients with Low/Intermediate-risk Prostate Cancer. Radiother Oncol 2021. [DOI: 10.1016/s0167-8140(21)06451-3] [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] [Subscribe] [Scholar Register] [Indexed: 11/30/2022]
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30
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López E, Díez-Vega I, Molina JJ. Effect of serve on reception and side-out performance in relation to ball´s contact with the net and type of serve, in high level male volleyball. [Efecto del saque en el rendimiento de la recepción y en el complejo I en función del contacto del balón con la red y el tipo de saque, en voleibol]. Rev int cienc deporte 2021. [DOI: 10.5232/ricyde2021.06305] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/14/2022] Open
Abstract
The contact of the serve’s ball with the net in volleyball generates uncertainty in the receivers, due to the change in trajectory and speed that occurs. The objective of this study was to determine the influence of the serve contact with the net on the performance of the receiving team, on male teams of the highest international level. A total of 4,227 actions of reception or side-out corresponding to 29 matches were analysed, of which only 275 contacted the net (5.42%). Reception performance was higher in the power jump serves that contacted with the net (p<0.001). However, the effect of contact with the net on floating serves did not have a significant impact. The final performance of the side-out did not make a significant impact neither. In conclusion, the contact of the ball with the net affects the reception performance in the highest international men's volleyball teams.
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Escudero C, Acurio J, López E, Rodríguez A, Benavente A, Lara E, Korzeniewski SJ. Vascular endothelial growth factor and poor prognosis after ischaemic stroke. Eur J Neurol 2020; 28:1759-1764. [PMID: 33176035 DOI: 10.1111/ene.14641] [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] [Received: 07/16/2020] [Revised: 11/05/2020] [Accepted: 11/07/2020] [Indexed: 12/15/2022]
Abstract
BACKGROUND AND PURPOSE Systemic inflammation conveys information about ischaemic stroke prognosis. Growth factors with neurotrophic and angiogenesis-regulating properties might provide additional information about sequelae. The prognostic performance of circulating vascular endothelial growth factor (VEGF), placental growth factor, interleukin 6 and C-reactive protein measured after acute ischaemic stroke was evaluated. METHODS Blood samples were collected from n = 45 patients within 24-48 h of acute ischaemic stroke. The primary outcome was death or moderate to severe disability at 6 months (modified Rankin Scale >2). Logistic regression models were used to determine the area under the receiver operating characteristic curve (AUC). Correlation and principal component analyses were performed to examine interrelationships amongst biomarkers. RESULTS Vascular endothelial growth factor was elevated in ischaemic stroke patients who died or had moderate to severe disability at six months. Correlation analysis revealed interrelationships between VEGF and HbA1c, triglycerides, erythrocyte sedimentation rate and National Institutes of Health Stroke Scale and Rankin scores, whereas principal component analyses identified VEGF as a major loading factor that discriminated good from poor prognosis. There were no significant differences in AUC using each protein individually to identify patients who had modified Rankin Scale score >2 at 6 months (n = 15/41, AUC 0.61-0.74). However, the AUC increased significantly when combining VEGF with interleukin 6 and C-reactive protein compared to the VEGF-only model (AUC 0.92 vs. 0.67, p = 0.02). CONCLUSION Circulating VEGF was elevated 24-48 h after acute ischaemic stroke and conveyed prognostic information about moderate to severe disability at 6 months.
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Affiliation(s)
- Carlos Escudero
- Vascular Physiology Laboratory, Department of Basic Sciences, Universidad del Bío-Bío, Chillán, Chile.,Group of Research and Innovation in Vascular Health, GRIVAS Health, Chillán, Chile
| | - Jesenia Acurio
- Vascular Physiology Laboratory, Department of Basic Sciences, Universidad del Bío-Bío, Chillán, Chile.,Group of Research and Innovation in Vascular Health, GRIVAS Health, Chillán, Chile
| | - Eduardo López
- Neurology Department, Hospital Clínico Herminda Martin, Chillán, Chile.,Faculty of Medicine, Universidad Católica de la Santísima Concepción, Concepción, Chile
| | - Andrés Rodríguez
- Group of Research and Innovation in Vascular Health, GRIVAS Health, Chillán, Chile.,Cell Communication and Vascular Dynamics Laboratory, Department of Basic Sciences, Universidad del Bío-Bío, Chillán, Chile
| | - Antonia Benavente
- Cell Communication and Vascular Dynamics Laboratory, Department of Basic Sciences, Universidad del Bío-Bío, Chillán, Chile
| | - Evelyn Lara
- Vascular Physiology Laboratory, Department of Basic Sciences, Universidad del Bío-Bío, Chillán, Chile.,Group of Research and Innovation in Vascular Health, GRIVAS Health, Chillán, Chile
| | - Steven J Korzeniewski
- Department of Obstetrics and Gynecology, Wayne State University School of Medicine. Detroit,, USA
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Laso S, Serrano Á, Resel LE, López E, Alonso S, Jerez T, Ruiz MÁ, Moreno J. [Usefulness of laser Holmium Lumenis Pulse 120 H® in the treatment of renal lithiasis through RIRS: Preliminary experience.]. ARCH ESP UROL 2020; 73:803-812. [PMID: 33144534] [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] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 06/11/2023]
Abstract
INTRODUCTION The Holmium laser is the most used energy source in flexible ureterrenoscopy (URSf). The Lumenis Pulse 120H® laser has a higher system energy, a higher energy per pulse and a higher repetition frequency in relation to other types of lasers, which offers advantages in the treatment of lithiasis. OBJECTIVE To analyze the results that we have obtained with the use of the Lumenis Pulse120H® laser in patients treated by intrarenal retrograde surgery (RIRS). As secondary objectives there are: the study of the demographic variables of the patients, the characteristics of the stones and the complications associated with the procedure. MATERIAL AND METHODS An observational, retrospective study of the first 26 patients treated by RIRS and Lumenis Pulse 120H® laser has been performed in our Service between August 2018 and February 2019. The size of the lithiasis was measured on the simple radiography and the CT, in addition, the volume of the lithiasis was calculated. For the realization of RIRS, 8.5Fr digital flexible ureterorenoscope (Olympus®) and the Holmium Lumenis 120H® laser with 200 micron laser fibers from Lumenis® were used. Statistical analysis was performed with the SPSSv21 system. RESULTS A total of 26 patients with renal lithiasis have been analyzed. The median age was 55.15 years (40.67-67.05). 57.7% of the patients had prior surgical treatment of lithiasis. Thirteen patients presented the litiasis in the renal pelvis, ten in the Upper Calicial Group (GCS), fifteen in the Middle Calicial Group (GCM) and eighteen in the Lower Calicial Group (GCI). The median of the lithiasic volume was 1826.41 mm3. Our overall success rate was 80.8% (100% success in lithiasis less than 2 cm and 85.7% in lithiasis between 2-3 cm). Five patients presented complications, of which 4 were ClavienII and 1 Clavien IIIb. No significant results were found between the lithiasic size and the presence of complications (p = 0.128). CONCLUSIONS The use of the Lumenis Pulse 120H®laser is an useful tool for the treatment of kidney stones by RIRS, due to his efficiency in the fragmentation and dusting, taking into account that very large lithiasic masses require, in a high percentage of cases, more than one treatment session.
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Affiliation(s)
- Silvia Laso
- Servicio de Urología. Hospital Clínico San Carlos. Instituto de Investigación Sanitaria (IdISSC). Universidad Complutense. Madrid. España
| | - Álvaro Serrano
- Servicio de Urología. Hospital Clínico San Carlos. Instituto de Investigación Sanitaria (IdISSC). Universidad Complutense. Madrid. España
| | - Luis Eduardo Resel
- Servicio de Urología. Hospital Clínico San Carlos. Instituto de Investigación Sanitaria (IdISSC). Universidad Complutense. Madrid. España
| | - Eduardo López
- Servicio de Urología. Hospital Clínico San Carlos. Instituto de Investigación Sanitaria (IdISSC). Universidad Complutense. Madrid. España
| | - Santiago Alonso
- Servicio de Urología. Hospital Clínico San Carlos. Instituto de Investigación Sanitaria (IdISSC). Universidad Complutense. Madrid. España
| | - Tamara Jerez
- Servicio de Urología. Hospital Clínico San Carlos. Instituto de Investigación Sanitaria (IdISSC). Universidad Complutense. Madrid. España
| | - Miguel Ángel Ruiz
- Servicio de Urología. Hospital Clínico San Carlos. Instituto de Investigación Sanitaria (IdISSC). Universidad Complutense. Madrid. España
| | - Jesús Moreno
- Servicio de Urología. Hospital Clínico San Carlos. Instituto de Investigación Sanitaria (IdISSC). Universidad Complutense. Madrid. España
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Cabrera JP, Vigueras S, Muñoz R, López E. Double neurophysiological certification of the filum terminale during sectioning surgery in pediatric population. Surg Neurol Int 2020; 11:229. [PMID: 32874732 PMCID: PMC7451179 DOI: 10.25259/sni_222_2020] [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: 04/27/2020] [Accepted: 07/18/2020] [Indexed: 11/26/2022] Open
Abstract
Background: Surgery of thickened-fibrolipoma filum terminale (FT) is performed routinely and without conflict but is not a risk-free surgical procedure. Intraoperative neurophysiological monitoring with mapping techniques can help to certify the FT before sectioning. However, a tailored surgical approach to cauda equina and a low threshold of surrounding nerve roots can confuse the final surgical decision. The aim is to demonstrate the usefulness of this double methodology for FT certification. Methods: A prospective study collected and reviewed retrospectively, from 2015 to 2018, 40 patients undergoing an FT surgery section were included in the study. After opening the dura mater and under the microscope, the cauda equina mapping is performed and the recording of muscles of the lower limbs and the external anal sphincter. In addition, a high-intensity stimulation of constant current of an isolated FT for a short period of time and in a dry surgical field, obtaining a bilateral-polyradicular-symmetrical response of cauda equina nerve roots. Results: Traditional motor mapping identified FT in 65% (26/40) of patients. Although, 35% (14/40) of the patients still have low-intensity stimuli response (<1 mA) of a muscle, especially anal sphincter. When this happens, the optimization of the dissection around FT is performed. After that, 25% (10/40) of the patients still having a muscle response in spite of seem isolated FT. Increasing the stimulation intensity up to 20 mA evoked a cauda equina response in all cases. No postoperative neurological impairment was observed in this series. Conclusion: This proposed methodology accurately confirms the FT so that it can be safely found and cut. The Double Neurophysiological Certification improves the gap of the traditional mapping techniques of cauda equina and can be used in a variety of more complex surgeries in this area.
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Affiliation(s)
- Juan P Cabrera
- Department of Neurosurgery, Hospital Clínico Regional de Concepción, Concepción, Bío Bío, Chile
| | - Sebastián Vigueras
- Department of Neurosurgery, Hospital Clínico Regional de Concepción, Concepción, Bío Bío, Chile
| | - Rubén Muñoz
- Department of Neurosurgery, Hospital Clínico Regional de Concepción, Concepción, Bío Bío, Chile
| | - Eduardo López
- Department of Neurosurgery, Hospital Clínico Regional de Concepción, Concepción, Bío Bío, Chile
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Garcia-Rodriguez J, Fernandez-Gomez J, Cozar J, Miñana B, Gomez-Veiga F, Rodriguez-Antolin A, Pórtela P, Blanco E, González J, Baena V, Morales P, Villavicencio H, Palou J, Loizaga A, Ciudin A, Mihai D, Martínez Jabaloyas J, Castelló A, Díez N, Romero F, Subirá J, Chávez A, Capapé V, Mata M, Elizalde J, Lobato J, Jiménez J, Pérez Llorca L, Tenza J, Herranz F, Husillos A, López E, Ramírez D, Blaha I, Izquierdo E, Reina L, Passas J, Díez L, Hevia M, Castells M, Concepción Masip T, Plata A, Asuar Aydillo S, Alonso J, Mateos J, Carballido J, Martínez C, Areche J, Rodríguez R, Hevia V, Álvarez S, Requena M, Prieto R, Carazo J, Márquez J, Gómez E, García J, Amón J, Cepeda M, Álvarez L, Rodríguez V, de la Cruz B, Rivero A, Sánchez J, Mainez J, Medina R, Conde M, Castiñeiras J, González Baena A, Sánchez E, Campanario R, Saiz R, Romero E, Morote J, Raventós C, Celma A, Vázquez F, Gómez A, Buendía E, García N. Androgen deprivation therapy in patients with localized disease: Comparison with curative intent treatments and time to castration resistance. Results of the Spanish Prostate Cancer Registry. Actas Urol Esp 2020; 44:156-163. [PMID: 32113829 DOI: 10.1016/j.acuro.2019.06.006] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/21/2018] [Revised: 03/26/2019] [Accepted: 06/09/2019] [Indexed: 10/24/2022]
Abstract
BACKGROUND The effect of primary androgen deprivation therapy (ADT) in patients with localized prostate cancer (PCa) has not been well documented. The objective of the present study was to analyze the outcome of tumors treated with ADT as primary therapy in the Spanish Prostate Cancer Registry (19.4% of the series). PATIENTS AND METHODS Patients were classified in three groups: 1) with low/intermediate risk clinically localized tumors; 2) with high risk and locally advanced (T3-4) tumors; 3) with metastatic tumors. Time to castration resistance and overall cancer-specific survival were analyzed. In non-metastatic tumors, survivals in patients treated with ADT were compared with data from patients who underwent local treatments from the Spanish Prostate Cancer Registry. RESULTS 703 cases were analyzed. There were significant differences in the time to castration resistance, which was lower in the group of metastatic tumors. During follow-up, there were 179 deaths (25.5%) of which 89 (12.6%) were due to PCa. After 3 years of ADT, only 14.6% of patients in group 1 had died (1% due to PCa), 20.5% in group 2 and 46.8% in group 3 (9.2% and 31.3% due to PCa, respectively). Cancer-specific survival was significantly worse in group 1 using ADT than radical prostatectomy or radiotherapy. In high-risk and locally advanced tumors, ADT also had a lower cancer-specific survival than local treatments. CONCLUSION A longer time until the castration resistance was observed in patients with well- and intermediate-risk localized tumors treated with ADT. Patients with metastatic tumors showed the shortest time to castration resistance.
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Solana-Altabella A, Valero S, Balaguer J, Escobar-Cava P, Barranco H, López E, Ribes-Artero H, Poveda JL. Intravitreal melphalan therapy for vitreous seeds in retinoblastoma: Implementation and outcomes of a new chemotherapy protocol. J Oncol Pharm Pract 2020; 26:1829-1835. [PMID: 32063104 DOI: 10.1177/1078155220904410] [Citation(s) in RCA: 3] [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] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/17/2022]
Abstract
Retinoblastoma is the most common paediatric ocular tumour, which appears in the retina. Without treatment, retinoblastoma grows and destroys the internal ocular globe architecture, even leading to metastasis. When treated, overall survival is close to 97%, the alkylating drug melphalan being the most extensively used chemotherapeutic agent in localised treatment. The aim of this study is to describe the implementation of a new intravitreal chemotherapy retinoblastoma treatment protocol for children implanting vitreous seeds through intravitreal melphalan injections and to evaluate the patients' health outcomes treated with it. Between December 2014 and July 2018, seven patients were treated with this protocol. They received a mean of 3.3 cycles of intravitreal melphalan with standard doses of 30 mcg per cycle. In the seven eyes treated in our hospital, the response was as expected; three eyes with vitreous seedings (43%) were successfully treated. The main adverse effects presented by all patients were scars at cryogenisation points. In two patients, the appearance of 'salt and pepper' retinopathy was reported. Oncology pharmacists, as part of the treatment team, can provide information about recommended doses, expected adverse effects, stability of preparations, most appropriate method of processing, packaging, and methods of drug administration, to ensure efficacy and especially safety in the administration of these drugs.
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Affiliation(s)
| | | | - Julia Balaguer
- H.U.P. La Fe, Paediatric Oncology Department, Valencia, Spain
| | | | - Honorio Barranco
- H.U.P. La Fe, Paediatric Ophthalmology Department, Valencia, Spain
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López E, Díez-Vega I, Molina JJ. Reception and performance in high level male volleyball: A relational study. jhse 2020. [DOI: 10.14198/jhse.2022.172.16] [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] [Subscribe] [Scholar Register] [Indexed: 11/06/2022] Open
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Hernández C, Valdera CJ, Cordero J, López E, Plaza J, Albi M. Impact of telemedicine on assisted reproduction treatment in the public health system. J Healthc Qual Res 2019; 35:27-34. [PMID: 31883955 DOI: 10.1016/j.jhqr.2019.08.004] [Citation(s) in RCA: 15] [Impact Index Per Article: 3.0] [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: 05/29/2019] [Revised: 08/17/2019] [Accepted: 08/20/2019] [Indexed: 11/26/2022]
Abstract
AIM Telemedicine has helped to make health care more efficient. However, to date no studies have measured its impact on infertility and fertility healthcare. We assessed the potential care benefits and clinical advantages of an initiative implementing electronic patient portal (EPP) for patients scheduled to undergo assisted reproduction treatment, to reduce waiting times for medical consultation and treatment. METHODS This was designed as a retrospective cohort study. The experimental group comprised 1972 referral requests received by the assisted reproduction unit of our institution between 2015 and 2016, which were included in the group receiving telemedicine, while the control group was defined by 283 requests received in 2013, all of which were assigned face-to-face care. RESULTS We found a statistically significant reduction in the experimental group in terms of the days elapsed between the receipt of the assessment request and the first outpatient visit (68 days vs. 180 days, p<.001). Time to initiation of treatment was also significantly lower in this group (169 days vs. 229 days; p<.001). The experimental group contained around 7 times as many patients receiving treatment as the control group. No differences were observed in the pregnancy rate (29.9% vs. 31.1%; p=.77) or in the complication rate (3.2% vs. 0%; p=.16). CONCLUSIONS Use of telemedicine in electronic portal patient form reduces the total waiting time involved in patient requests for infertility treatment and indirectly increases the number of patients treated, causing no negative impact on treatment outcome.
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Affiliation(s)
- C Hernández
- Assisted Reproduction Unit, Fundación Jiménez Díaz, Madrid, Spain; Department of Obstetrics and Gynecology, Fundación Jiménez Díaz, Madrid, Spain
| | - C J Valdera
- Assisted Reproduction Unit, Fundación Jiménez Díaz, Madrid, Spain; Department of Obstetrics and Gynecology, Fundación Jiménez Díaz, Madrid, Spain.
| | - J Cordero
- Assisted Reproduction Unit, Fundación Jiménez Díaz, Madrid, Spain; Department of Obstetrics and Gynecology, Fundación Jiménez Díaz, Madrid, Spain
| | - E López
- Faculty of Medicine, Universidad Autónoma de Madrid, Madrid, Spain
| | - J Plaza
- Department of Obstetrics and Gynecology, Fundación Jiménez Díaz, Madrid, Spain
| | - M Albi
- Department of Obstetrics and Gynecology, Fundación Jiménez Díaz, Madrid, Spain
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Cabrera JP, Yankovic W, Luna F, Torche E, Valdés G, López E, Chávez O. Traumatic spondyloptosis of L3 with incomplete neurological involvement: A case report. Trauma Case Rep 2019; 24:100248. [PMID: 31872021 PMCID: PMC6911902 DOI: 10.1016/j.tcr.2019.100248] [Citation(s) in RCA: 4] [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] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/04/2019] [Revised: 08/17/2019] [Accepted: 09/19/2019] [Indexed: 12/01/2022] Open
Abstract
High-energy traumas frequently result in lumbar spine fractures such as spondyloptosis is the maximum expression of instability and severity. The management of spondyloptosis is complex and, essentially, surgical. It usually presents with irreversible neurological compromise. This paper aimed to present a case of lumbar spondyloptosis and its early confrontation, partial neurological involvement, and progressive postoperative retrieval. Clinical case A male patient aged 42 years had multiple injuries with asymmetric paraparesis and sphincter involvement. Computed tomography (CT) revealed L3 vertebral spondyloptosis detached from the rest of the spine, spinal canal stenosis, sagittal imbalance, and angular kyphosis. Surgical resolution was defined by performing an en bloc corpectomy through lumbotomy and the installation of an expandable cage with posterior transpedicular fixation of L2–L4, thereby recovering the spinal canal diameter, lumbar lordosis, sagittal balance, and improving motor function progressively. Conclusion Complex spinal injuries warrant an early resolution by a trained surgical team to ensure normal spinal parameters and to achieve a progressive neurological recovery.
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Affiliation(s)
- Juan P Cabrera
- Department of Neurosurgery, Hospital Clínico Regional de Concepción, San Martín 1436, Concepción, Chile.,University of Concepción, Chacabuco esquina Janequeo S/N, Concepción, Chile
| | - Willy Yankovic
- University of Concepción, Chacabuco esquina Janequeo S/N, Concepción, Chile.,Department of Vascular Surgery, Hospital Clínico Regional de Concepción, San Martín 1436, Concepción, Chile
| | - Francisco Luna
- Department of Neurosurgery, Hospital Clínico Regional de Concepción, San Martín 1436, Concepción, Chile.,University of Concepción, Chacabuco esquina Janequeo S/N, Concepción, Chile
| | - Esteban Torche
- Department of Neurosurgery, Hospital Clínico Regional de Concepción, San Martín 1436, Concepción, Chile.,University of Concepción, Chacabuco esquina Janequeo S/N, Concepción, Chile
| | - Guillermo Valdés
- Department of Neurosurgery, Hospital Clínico Regional de Concepción, San Martín 1436, Concepción, Chile
| | - Eduardo López
- University of Concepción, Chacabuco esquina Janequeo S/N, Concepción, Chile
| | - Oriana Chávez
- University of Concepción, Chacabuco esquina Janequeo S/N, Concepción, Chile
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Cabrera JP, Torche E, Luna F, Alarcón E, Spencer ML, López E, Valdés G, Arévalo A. Upper thoracic dumbbell-shaped tumor resected in one stage posterior approach: case report. AME Case Rep 2019; 3:25. [PMID: 31463430 DOI: 10.21037/acr.2019.07.01] [Citation(s) in RCA: 3] [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] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/19/2019] [Accepted: 06/26/2019] [Indexed: 11/06/2022]
Abstract
Upper thoracic tumors may develop spinal cord compression. By surgery at the time of diagnosis, a neurological deficit can be avoided. However, this particular localization requires a double approach to decompress the spinal cord and thoracic structures. The posterior extracavitary approach results in resection of the spinal canal, the foraminal component, and the extraspinal fragment, but is not routinely used by most neurosurgeons. A 56-year-old woman with a two-month history of axial thoracic pain and cough. The patient has a normal neurological examination. Thoracic computed tomography (CT) scan with contrast agent was performed, evincing a dumbbell-shaped tumor on the left T3-T4. Magnetic resonance imaging (MRI) confirms the diagnosis, showing a 4 cm diameter tumor that compresses the spinal cord without myelopathy. The surgery was performed posteriorly, with costotransversectomy, allowing complete resection under intraoperative neurophysiological monitoring. The patient developed no thoracic or neurological complications. One-stage posterior approach is possible and effective during the treatment of the upper thoracic dumbbell-shaped tumors, avoiding a change in surgical position, thoracic morbidity, and dependence on assisting surgeons.
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Affiliation(s)
- Juan P Cabrera
- Department of Neurosurgery, Regional Clinical Hospital of Concepción, Concepción, Chile.,Department of Surgery, University of Concepción, Concepción, Chile
| | - Esteban Torche
- Department of Neurosurgery, Regional Clinical Hospital of Concepción, Concepción, Chile.,Department of Surgery, University of Concepción, Concepción, Chile
| | - Francisco Luna
- Department of Neurosurgery, Regional Clinical Hospital of Concepción, Concepción, Chile.,Department of Surgery, University of Concepción, Concepción, Chile
| | - Emilio Alarcón
- Department of Surgery, University of Concepción, Concepción, Chile.,Department of Thoracic Surgery, Regional Clinical Hospital of Concepción, Concepción, Chile
| | - M Loreto Spencer
- Department of Pathology, Regional Clinical Hospital of Concepción, Concepción, Chile
| | - Eduardo López
- Department of Surgery, University of Concepción, Concepción, Chile
| | - Guillermo Valdés
- Department of Neurosurgery, Regional Clinical Hospital of Concepción, Concepción, Chile
| | - Antonela Arévalo
- Department of Surgery, University of Concepción, Concepción, Chile
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40
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Amor A, Vinagre I, Valverde M, Pané A, Urquizu X, Meler E, López E, Quirós C, Giménez M, Codina L, Alonso N, Conget I, Barahona M, Perea V. Preeclampsia: A Risk Factor On Preclinical Carotid Atherosclerosis With Similar Impact To Type 1 Diabetes. Atherosclerosis 2019. [DOI: 10.1016/j.atherosclerosis.2019.06.255] [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: 11/16/2022]
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41
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Serrano Á, Sánchez M, Ciappara M, López E, Laso S, Jerez T, Barrera J, Cortés JA, González-Peramato P, Blazquez J, Moreno J. [Laparoscopic renal cyst excision: Large simple renal cyst treatment with renal cell carcinoma cells in its wall. Histogenetic considerations and bibliographic review.]. ARCH ESP UROL 2019; 72:422-428. [PMID: 31070139] [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] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 06/09/2023]
Abstract
OBJECTIVE The incidence of simple renal cysts is very high, especially in elderly people. However, malignant transformation of a simple renal cyst is exceptional. Likewise, the treatment to be carried out, in these rare cases, is controversial, with respect to opting for radical renal surgery. METHODS: We present the case of a patient with a solid nodule in a large cyst. Complete removal of the cyst was performed by transperitoneal laparoscopic technique. The histopathological study of the surgical piece revealed the existence of a cyst with clear renal cell carcinoma with nucleolar grade 2. The clinical evolution has been satisfactory, performing a minimally invasive surgery (laparoscopic cyst excision). DISCUSSION: Although it is considered that surgical treatment of choice is radical surgery in these cases, we believe that nephron sparing surgery may represent a therapeutic option, taking into account the young age of our patient. A histogenetic hypothesis is discussed to explain the appearance of a clear cell tumor in a simple renal cyst. CONCLUSION The development of a renal cell carcinoma in simple renal cysts is a very infrequent pathology.Laparoscopic total cystectomy is a minimally invasive therapeutic option for the treatment of renal cell carcinoma originating in a simple renal cyst, although it is of an important size. We establish the hypothesis of migration of the cells of the renal collecting tubes into the cyst wall to explain the malignant transformation of the renal simple cyst.
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Affiliation(s)
- Álvaro Serrano
- Servicio de Urología. Hospital Clínico San Carlos. Madrid. España
| | - María Sánchez
- Servicio de Urología. Hospital Clínico San Carlos. Madrid. España
| | - Marco Ciappara
- Servicio de Urología. Hospital Clínico San Carlos. Madrid. España
| | - Eduardo López
- Servicio de Urología. Hospital Clínico San Carlos. Madrid. España
| | - Silvia Laso
- Servicio de Urología. Hospital Clínico San Carlos. Madrid. España
| | - Tamara Jerez
- Servicio de Urología. Hospital Clínico San Carlos. Madrid. España
| | - Jerónimo Barrera
- Servicio de Radiodiagnóstico. Hospital Clínico San Carlos. Madrid. España
| | - José Antonio Cortés
- Servicio de Anatomía Patológica. Hospital Clínico San Carlos. Madrid. España
| | - Pilar González-Peramato
- Servicio de Anatomía Patológica. Hospital Universitario La Paz. Facultad de Medicina. Universidad Autónoma. Madrid. España
| | - Jesús Blazquez
- Servicio de Urología. Hospital Clínico San Carlos. Madrid. España
| | - Jesús Moreno
- Servicio de Urología. Hospital Clínico San Carlos. Madrid. España
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Tirado FL, Rincón M, Gonsalves D, Guzmán L, Montero M, Penedo J, Ilundain A, Olivera J, López E. EP-2109 Can we improve the dosimetric values with the experience? our results with vmat in lung cancer. Radiother Oncol 2019. [DOI: 10.1016/s0167-8140(19)32529-0] [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] [Subscribe] [Scholar Register] [Indexed: 11/27/2022]
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43
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Oñate JM, Rivas P, Pallares C, Saavedra CH, Martínez E, Coronell W, López E, Berrio I, Álvarez-Moreno CA, Roncancio GE, Segura J, Vélez JD, Cortes JA, Parra-Giraldo CM, Álvarez JE, Romero AF, Zuluaga I, Camacho G. Colombian consensus on the diagnosis, treatment, and prevention of Candida Spp. disease in children and adults*,+. Infect 2019. [DOI: 10.22354/in.v23i3.792] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/23/2022] Open
Abstract
Invasive Candidiasis (IC) and candidemia (as its most frequent manifestation) have become the main cause of opportunistic mycosis at hospital settings. This study, made by members of the Colombian Association of Infectious Diseases (ACIN), was aimed at providing a set of recommendations for the management, follow-up and prevention of IC / candidemia and mucous membrane candida infection in adult, pediatric and neonatal patients in a hospital setting, including the hemato-oncological and critical care units. All the data obtained through an exhaustive search were reviewed and analyzed in a comprehensive manner by all the members of the group, and the recommendations issued are being made after a careful review of the scientific literature available and the consensus of all specialists involved; the emergence of Candida Spp. problem is highlighted and a correct orientation to health professionals regarding the management of patients with candidiasis is provided in a rational and practical way, emphasizing patient evaluation, diagnostic strategies, prophylaxis, empirical treatment, directed treatment and preventative therapy.
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Recio R, Meléndez-Carmona MÁ, Martín-Higuera MC, Pérez V, López E, López-Medrano F, Pérez-Ayala A. Trichoderma longibrachiatum: an unusual pathogen of fungal pericarditis. Clin Microbiol Infect 2019; 25:586-587. [PMID: 30771525 DOI: 10.1016/j.cmi.2019.02.006] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/07/2018] [Revised: 01/21/2019] [Accepted: 02/05/2019] [Indexed: 12/01/2022]
Affiliation(s)
- R Recio
- Department of Microbiology, Hospital Universitario 12 de Octubre, Madrid, Spain.
| | | | - M C Martín-Higuera
- Department of Microbiology, Hospital Universitario 12 de Octubre, Madrid, Spain
| | - V Pérez
- Unit of Lung Transplantation, Hospital Universitario 12 de Octubre, Madrid, Spain
| | - E López
- Unit of Lung Transplantation, Hospital Universitario 12 de Octubre, Madrid, Spain
| | - F López-Medrano
- Unit of Infectious Diseases, Hospital Universitario 12 de Octubre, Madrid, Spain
| | - A Pérez-Ayala
- Department of Microbiology, Hospital Universitario 12 de Octubre, Madrid, Spain
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Marinaro F, Sánchez-Margallo FM, Álvarez V, López E, Tarazona R, Brun MV, Blázquez R, Casado JG. Meshes in a mess: Mesenchymal stem cell-based therapies for soft tissue reinforcement. Acta Biomater 2019; 85:60-74. [PMID: 30500445 DOI: 10.1016/j.actbio.2018.11.042] [Citation(s) in RCA: 18] [Impact Index Per Article: 3.6] [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: 06/28/2018] [Revised: 11/21/2018] [Accepted: 11/26/2018] [Indexed: 12/19/2022]
Abstract
Surgical meshes are frequently used for the treatment of abdominal hernias, pelvic organ prolapse, and stress urinary incontinence. Though these meshes are designed for tissue reinforcement, many complications have been reported. Both differentiated cell- and mesenchymal stem cell-based therapies have become attractive tools to improve their biocompatibility and tissue integration, minimizing adverse inflammatory reactions. However, current studies are highly heterogeneous, making it difficult to establish comparisons between cell types or cell coating methodologies. Moreover, only a few studies have been performed in clinically relevant animal models, leading to contradictory results. Finally, a thorough understanding of the biological mechanisms of mesenchymal stem cells in the context of foreign body reaction is lacking. This review aims to summarize in vitro and in vivo studies involving the use of differentiated and mesenchymal stem cells in combination with surgical meshes. According to preclinical and clinical studies and considering the therapeutic potential of mesenchymal stem cells, it is expected that these cells will become valuable tools in the treatment of pathologies requiring tissue reinforcement. STATEMENT OF SIGNIFICANCE: The implantation of surgical meshes is the standard procedure to reinforce tissue defects such as hernias. However, an adverse inflammatory response secondary to this implantation is frequently observed, leading to a strong discomfort and chronic pain in the patients. In many cases, an additional surgical intervention is needed to remove the mesh. Both differentiated cell- and stem cell-based therapies have become attractive tools to improve biocompatibility and tissue integration, minimizing adverse inflammatory reactions. However, current studies are incredibly heterogeneous and it is difficult to establish a comparison between cell types or cell coating methodologies. This review aims to summarize in vitro and in vivo studies where differentiated and stem cells have been combined with surgical meshes.
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Affiliation(s)
- F Marinaro
- Stem Cell Therapy Unit, Jesús Usón Minimally Invasive Surgery Centre, Ctra. N-521, km 41.8, 10071 Cáceres, Spain
| | - F M Sánchez-Margallo
- Stem Cell Therapy Unit, Jesús Usón Minimally Invasive Surgery Centre, Ctra. N-521, km 41.8, 10071 Cáceres, Spain; CIBER de Enfermedades Cardiovasculares, Avenida Monforte de Lemos, 3-5. Pabellón 11. Planta 0, 28029 Madrid, Spain
| | - V Álvarez
- Stem Cell Therapy Unit, Jesús Usón Minimally Invasive Surgery Centre, Ctra. N-521, km 41.8, 10071 Cáceres, Spain
| | - E López
- Stem Cell Therapy Unit, Jesús Usón Minimally Invasive Surgery Centre, Ctra. N-521, km 41.8, 10071 Cáceres, Spain
| | - R Tarazona
- Immunology Unit, Department of Physiology, University of Extremadura, 10071 Caceres, Spain
| | - M V Brun
- Department of Small Animal Medicine, Federal University of Santa Maria (UFSM), Av. Roraima, 1000 - 7 - Camobi, Santa Maria, 97105-900 Rio Grande do Sul, Brazil
| | - R Blázquez
- Stem Cell Therapy Unit, Jesús Usón Minimally Invasive Surgery Centre, Ctra. N-521, km 41.8, 10071 Cáceres, Spain; CIBER de Enfermedades Cardiovasculares, Avenida Monforte de Lemos, 3-5. Pabellón 11. Planta 0, 28029 Madrid, Spain.
| | - J G Casado
- Stem Cell Therapy Unit, Jesús Usón Minimally Invasive Surgery Centre, Ctra. N-521, km 41.8, 10071 Cáceres, Spain; CIBER de Enfermedades Cardiovasculares, Avenida Monforte de Lemos, 3-5. Pabellón 11. Planta 0, 28029 Madrid, Spain
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Izurieta EM, Adrover ME, Pedernera MN, López E. Ethanol Processor Design for Hydrogen Production. Kinetic Analysis and Process Integration. Ind Eng Chem Res 2018. [DOI: 10.1021/acs.iecr.8b02324] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/30/2022]
Affiliation(s)
- Eduardo M. Izurieta
- Departamento de Ingeniería Química, Universidad Nacional del Sur (UNS), Bahía Blanca 8000, Buenos Aires, Argentina
- Planta Piloto de Ingeniería Química, PLAPIQUI (UNS-CONICET), Bahía Blanca 8000, Buenos Aires, Argentina
| | - M. Esperanza Adrover
- Departamento de Ingeniería Química, Universidad Nacional del Sur (UNS), Bahía Blanca 8000, Buenos Aires, Argentina
- Planta Piloto de Ingeniería Química, PLAPIQUI (UNS-CONICET), Bahía Blanca 8000, Buenos Aires, Argentina
| | - Marisa N. Pedernera
- Departamento de Ingeniería Química, Universidad Nacional del Sur (UNS), Bahía Blanca 8000, Buenos Aires, Argentina
- Planta Piloto de Ingeniería Química, PLAPIQUI (UNS-CONICET), Bahía Blanca 8000, Buenos Aires, Argentina
| | - Eduardo López
- Planta Piloto de Ingeniería Química, PLAPIQUI (UNS-CONICET), Bahía Blanca 8000, Buenos Aires, Argentina
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Corzo‐Martínez M, López E, Vázquez L, Ortego E, Olaya E, Reglero G, Torres CF. Lipase‐Catalyzed Butanolysis of
Echium
Oil for the Selective Enrichment in Gamma‐Linolenic and Stearidonic Acids. EUR J LIPID SCI TECH 2018. [DOI: 10.1002/ejlt.201800251] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/09/2022]
Affiliation(s)
- Marta Corzo‐Martínez
- Department of Production and Characterization of Novel FoodsInstitute of Food Science Research (CIAL, CSIC‐UAM)C/Nicolas Cabrera 928049MadridSpain
| | - Eduardo López
- Department of Production and Characterization of Novel FoodsInstitute of Food Science Research (CIAL, CSIC‐UAM)C/Nicolas Cabrera 928049MadridSpain
| | - Luis Vázquez
- Department of Production and Characterization of Novel FoodsInstitute of Food Science Research (CIAL, CSIC‐UAM)C/Nicolas Cabrera 928049MadridSpain
| | - Elena Ortego
- Department of Production and Characterization of Novel FoodsInstitute of Food Science Research (CIAL, CSIC‐UAM)C/Nicolas Cabrera 928049MadridSpain
| | - Erika Olaya
- Department of Production and Characterization of Novel FoodsInstitute of Food Science Research (CIAL, CSIC‐UAM)C/Nicolas Cabrera 928049MadridSpain
| | - Guillermo Reglero
- Department of Production and Characterization of Novel FoodsInstitute of Food Science Research (CIAL, CSIC‐UAM)C/Nicolas Cabrera 928049MadridSpain
- Department of Production and Development of Foods for HealthIMDEA‐Food InstituteCEI (UAM‐CSIC)C/Faraday 728049MadridSpain
| | - Carlos F. Torres
- Department of Production and Characterization of Novel FoodsInstitute of Food Science Research (CIAL, CSIC‐UAM)C/Nicolas Cabrera 928049MadridSpain
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Quezada-Loaiza C, de Pablo Gafas A, Pérez V, Alonso R, Juarros L, Real M, López E, Cortes M, Meneses J, González I, Díaz-Hellín Gude V, Subías P, Gámez P. Lung Transplantation in Pulmonary Hypertension: A Multidisciplinary Unit's Management Experience. Transplant Proc 2018; 50:1496-1503. [DOI: 10.1016/j.transproceed.2018.02.073] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/08/2017] [Revised: 01/03/2018] [Accepted: 02/06/2018] [Indexed: 10/17/2022]
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