1
|
Albano D, Mallardi C, Afat S, Agnollitto PM, Caruso D, Cannella R, Carriero S, Chupetlovska K, Clauser P, D'Angelo T, De Santis D, Dioguardi Burgio M, Dumic-Cule I, Fanni SC, Fusco S, Gatti M, Gitto S, Jankovic S, Karagechev T, Klontzas ME, Koltsakis E, Leithner D, Matišić V, Muscogiuri G, Penkova R, Polici M, Serpi F, Sofia C, Snoj Z, Akinci D'Antonoli T, Vernuccio F, Vieira J, Vieira AC, Wielema M, Zerunian M, Messina C. How young radiologists use contrast media and manage adverse reactions: an international survey. Insights Imaging 2024; 15:92. [PMID: 38530547 DOI: 10.1186/s13244-024-01658-z] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/01/2023] [Accepted: 02/25/2024] [Indexed: 03/28/2024] Open
Abstract
OBJECTIVES To collect real-world data about the knowledge and self-perception of young radiologists concerning the use of contrast media (CM) and the management of adverse drug reactions (ADR). METHODS A survey (29 questions) was distributed to residents and board-certified radiologists younger than 40 years to investigate the current international situation in young radiology community regarding CM and ADRs. Descriptive statistics analysis was performed. RESULTS Out of 454 respondents from 48 countries (mean age: 31.7 ± 4 years, range 25-39), 271 (59.7%) were radiology residents and 183 (40.3%) were board-certified radiologists. The majority (349, 76.5%) felt they were adequately informed regarding the use of CM. However, only 141 (31.1%) received specific training on the use of CM and 82 (18.1%) about management ADR during their residency. Although 266 (58.6%) knew safety protocols for handling ADR, 69.6% (316) lacked confidence in their ability to manage CM-induced ADRs and 95.8% (435) expressed a desire to enhance their understanding of CM use and handling of CM-induced ADRs. Nearly 300 respondents (297; 65.4%) were aware of the benefits of contrast-enhanced ultrasound, but 249 (54.8%) of participants did not perform it. The preferred CM injection strategy in CT parenchymal examination and CT angiography examination was based on patient's lean body weight in 318 (70.0%) and 160 (35.2%), a predeterminate fixed amount in 79 (17.4%) and 116 (25.6%), iodine delivery rate in 26 (5.7%) and 122 (26.9%), and scan time in 31 (6.8%) and 56 (12.3%), respectively. CONCLUSION Training in CM use and management ADR should be implemented in the training of radiology residents. CRITICAL RELEVANCE STATEMENT We highlight the need for improvement in the education of young radiologists regarding contrast media; more attention from residency programs and scientific societies should be focused on training about contrast media use and the management of adverse drug reactions. KEY POINTS • This survey investigated training of young radiologists about use of contrast media and management adverse reactions. • Most young radiologists claimed they did not receive dedicated training. • An extreme heterogeneity of responses was observed about contrast media indications/contraindications and injection strategy.
Collapse
Affiliation(s)
- Domenico Albano
- IRCCS Istituto Ortopedico Galeazzi, Milan, Italy.
- Dipartimento Di Scienze Biomediche, Chirurgiche Ed Odontoiatriche, Università Degli Studi Di Milano, Milan, Italy.
| | - Carmen Mallardi
- Scuola Di Specializzazione in Radiodiagnostica, Università Degli Studi Di Milano, Milan, Italy
| | - Saif Afat
- Department of Diagnostic and Interventional Radiology, Eberhard Karls University Tuebingen, Tuebingen, Germany
| | - Paulo Moraes Agnollitto
- Ribeirão Preto Medical School, Radiology Division of the Department of Medical Imaging, Hematology and Clinical Oncology, University of São Paulo, São Paulo, Ribeirão Preto, Brazil
| | - Damiano Caruso
- Department of Medical Surgical Sciences and Translational Medicine, Sant'Andrea University Hospital, Sapienza - University of Rome, Rome, Italy
| | - Roberto Cannella
- Section of Radiology, Department of Biomedicine, Neuroscience and Advanced Diagnostics (BiND), University of Palermo, Palermo, Italy
| | - Serena Carriero
- Department of Radiology and Interventional Radiology, Foundation IRCCS Ca' Granda Ospedale Maggiore Policlinico, Milan, Italy
| | - Kalina Chupetlovska
- Department of Radiology, The Netherlands Cancer Institute, Amsterdam, The Netherlands
| | - Paola Clauser
- Department of Biomedical Imaging and Image-Guided Therapy, Division of General and Pediatric Radiology, Medical University of Vienna, Vienna, Austria
| | - Tommaso D'Angelo
- Diagnostic and Inverventional Radiology Unit, Department of Biomedical Sciences and Morphological and Functional Imaging, University of Messina, Messina, Italy
- Department of Radiology and Nuclear Medicine, Erasmus MC, Rotterdam, The Netherlands
| | - Domenico De Santis
- Department of Medical Surgical Sciences and Translational Medicine, Sant'Andrea University Hospital, Sapienza - University of Rome, Rome, Italy
| | - Marco Dioguardi Burgio
- Department of Radiology, Hôpital Beaujon, AP-HP.Nord, 100 Boulevard du Général Leclerc, 92110, Clichy, France
- Université Paris Cité, INSERM, Centre de Recherche Sur L'inflammation, 75018, Paris, France
| | - Ivo Dumic-Cule
- Department of Diagnostic and Interventional Radiology, University Hospital Centre Zagreb, Kispaticeva 12, 10000, Zagreb, Croatia
- University North, 104 Brigade 3, 42000, Varazdin, Croatia
| | | | - Stefano Fusco
- Department of Biomedical Sciences for Health, Università Degli Studi Di Milano, Milan, Italy
| | - Marco Gatti
- Radiology Unit, Department of Surgical Sciences, University of Turin, Turin, Italy
| | - Salvatore Gitto
- IRCCS Istituto Ortopedico Galeazzi, Milan, Italy
- Department of Biomedical Sciences for Health, Università Degli Studi Di Milano, Milan, Italy
| | - Sonja Jankovic
- Center for Radiology, University Clinical Center Nis, Nis, Republic of Serbia
| | | | - Michail E Klontzas
- Department of Radiology, School of Medicine, University of Crete, Heraklion, Crete, Greece
- Department of Medical Imaging, University Hospital of Heraklion, Heraklion, Crete, Greece
| | - Emmanouil Koltsakis
- Department of Radiology, Karolinska University Hospital of Stockholm, Stockholm, Sweden
| | - Doris Leithner
- Department of Radiology, NYU Grossman School of Medicine, New York, NY, USA
| | - Vid Matišić
- St. Catherine Specialty Hospital, 10000, Zagreb, Croatia
| | | | - Ralitsa Penkova
- Radiology Department, Acibadem City Clinic Tokuda Hospital, 51B Nikola Y. Vaptsarov Blvd, Sofia, 1407, Bulgaria
| | - Michela Polici
- Department of Medical Surgical Sciences and Translational Medicine, Sant'Andrea University Hospital, Sapienza - University of Rome, Rome, Italy
- PhD School in Traslational Medicine and Oncology, Department of Medical Surgical Sciences and Translational Medicine, Faculty of Medicine and Psychology, "Sapienza" University of Rome, Rome, Italy
| | - Francesca Serpi
- Department of Biomedical Sciences for Health, Università Degli Studi Di Milano, Milan, Italy
| | - Carmelo Sofia
- Diagnostic and Inverventional Radiology Unit, Department of Biomedical Sciences and Morphological and Functional Imaging, University of Messina, Messina, Italy
| | - Ziga Snoj
- Radiology Institute, University Medical Centre Ljubljana, Zaloška 7, Ljubljana, Slovenia
| | - Tugba Akinci D'Antonoli
- Institute of Radiology and Nuclear Medicine, Cantonal Hospital Baselland, Liestal, Switzerland
| | - Federica Vernuccio
- Section of Radiology, Department of Biomedicine, Neuroscience and Advanced Diagnostics (BiND), University of Palermo, Palermo, Italy
| | - João Vieira
- Radiology, Hospital Divino Espírito Santo, Ponta Delgada, Portugal
| | - Ana Catarina Vieira
- Radiology Department, Hospital CUF Porto, Porto, Portugal
- Faculty of Medicine, University of Porto, Porto, Portugal
| | - Mirjam Wielema
- Department of Radiology, Canisius Wilhelmina Hospital, Nijmegen, The Netherlands
| | - Marta Zerunian
- Department of Medical Surgical Sciences and Translational Medicine, Sant'Andrea University Hospital, Sapienza - University of Rome, Rome, Italy
| | - Carmelo Messina
- IRCCS Istituto Ortopedico Galeazzi, Milan, Italy
- Department of Biomedical Sciences for Health, Università Degli Studi Di Milano, Milan, Italy
| |
Collapse
|
2
|
van der Reijd DJ, Chupetlovska K, van Dijk E, Westerink B, Monraats MA, Van Griethuysen JJM, Lambregts DMJ, Tissier R, Beets-Tan RGH, Benson S, Maas M. Multi-sequence MRI radiomics of colorectal liver metastases: Which features are reproducible across readers? Eur J Radiol 2024; 172:111346. [PMID: 38309217 DOI: 10.1016/j.ejrad.2024.111346] [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] [Subscribe] [Scholar Register] [Received: 11/17/2023] [Revised: 01/15/2024] [Accepted: 01/25/2024] [Indexed: 02/05/2024]
Abstract
PURPOSE To assess the inter-reader reproducibility of radiomics features on multiple MRI sequences after segmentations of colorectal liver metastases (CRLM). METHOD 30 CRLM (in 23 patients) were manually delineated by three readers on MRI before the start of chemotherapy on the contrast enhanced T1-weighted images (CE-T1W) in the portal venous phase, T2-weighted images (T2W) and b800 diffusion weighted images (DWI). DWI delineations were copied to the ADC-maps. 107 radiomics features were extracted per sequence. The intraclass correlation coefficient (ICC) was calculated per feature. Features were considered reproducible if ICC > 0.9. RESULTS 90% of CE-T1W features were reproducible with a median ICC of 0.98 (range 0.76-1.00). 81% of DWI features were robust with median ICC = 0.97 (range 0.38-1.00). The T2W features had a median ICC of 0.96 (range 0.55-0.99) and were reproducible in 80%. ADC showed the lowest number of reproducible features with 58% and median ICC = 0.91 (range 0.38-0.99) When considering the lower bound of the ICC 95% confidence intervals, 58%, 66%, 54% and 29% reached 0.9 for the CE-T1W, DWI, T2W and ADC features, respectively. The feature class with the best reproducibility differed per sequence. CONCLUSIONS The majority of MRI radiomics features from CE-T1W, T2W, DWI and ADC in colorectal liver metastases were robust for segmentation variability between readers. The CE-T1W yielded slightly better reproducibility results compared to DWI and T2W. The ADC features seem more susceptible to reader differences compared to the other three sequences.
Collapse
Affiliation(s)
- Denise J van der Reijd
- Department of Radiology, The Netherlands Cancer Institute, Plesmanlaan 121, 1066CX Amsterdam, the Netherlands; GROW School for Oncology and Reproduction, Maastricht University, Universiteitssingel 40, 6229 ER Maastricht, the Netherlands
| | - Kalina Chupetlovska
- Department of Radiology, The Netherlands Cancer Institute, Plesmanlaan 121, 1066CX Amsterdam, the Netherlands
| | - Eleanor van Dijk
- Department of Radiology, The Netherlands Cancer Institute, Plesmanlaan 121, 1066CX Amsterdam, the Netherlands
| | - Bram Westerink
- Department of Radiology, The Netherlands Cancer Institute, Plesmanlaan 121, 1066CX Amsterdam, the Netherlands
| | - Melanie A Monraats
- Department of Radiology, The Netherlands Cancer Institute, Plesmanlaan 121, 1066CX Amsterdam, the Netherlands
| | - Joost J M Van Griethuysen
- Department of Radiology, The Netherlands Cancer Institute, Plesmanlaan 121, 1066CX Amsterdam, the Netherlands
| | - Doenja M J Lambregts
- Department of Radiology, The Netherlands Cancer Institute, Plesmanlaan 121, 1066CX Amsterdam, the Netherlands; GROW School for Oncology and Reproduction, Maastricht University, Universiteitssingel 40, 6229 ER Maastricht, the Netherlands
| | - Renaud Tissier
- Biostatistics Center, The Netherlands Cancer Institute, Plesmanlaan 121, 1066CX Amsterdam, the Netherlands
| | - Regina G H Beets-Tan
- Department of Radiology, The Netherlands Cancer Institute, Plesmanlaan 121, 1066CX Amsterdam, the Netherlands; GROW School for Oncology and Reproduction, Maastricht University, Universiteitssingel 40, 6229 ER Maastricht, the Netherlands; Faculty of Health Sciences, University of Southern Denmark, Campusvej 55, DK 5203 Odense, Denmark
| | - Sean Benson
- Department of Radiology, The Netherlands Cancer Institute, Plesmanlaan 121, 1066CX Amsterdam, the Netherlands; Department of Cardiology, Amsterdam University Medical Centres, University of Amsterdam, Meibergdreef 9, 1105 AZ Amsterdam, the Netherlands
| | - Monique Maas
- Department of Radiology, The Netherlands Cancer Institute, Plesmanlaan 121, 1066CX Amsterdam, the Netherlands; GROW School for Oncology and Reproduction, Maastricht University, Universiteitssingel 40, 6229 ER Maastricht, the Netherlands.
| |
Collapse
|
3
|
Catania R, Chupetlovska K, Borhani AA, Maheshwari E, Furlan A. Tumor in vein (LR-TIV) and liver imaging reporting and data system (LI-RADS) v2018: diagnostic features, pitfalls, prognostic and management implications. Abdom Radiol (NY) 2021; 46:5723-5734. [PMID: 34519877 DOI: 10.1007/s00261-021-03270-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] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/31/2021] [Revised: 09/02/2021] [Accepted: 09/03/2021] [Indexed: 01/27/2023]
Abstract
Vascular invasion by hepatocellular carcinoma (HCC), also known as tumor in vein (TIV), indicates highly invasive tumor behavior and is also associated with poor outcome. Because a diagnosis of TIV precludes liver transplantation, knowledge of the imaging findings to differentiate between TIV and bland thrombus is key for proper patient management. Prior versions of liver imaging reporting and data system (LI-RADS) included presence of TIV as part of LR-5 criteria. However, even if HCC is the most common liver malignancy associated with TIV, other tumors can have vascular invasion and may occur in cirrhotic patients. For these reasons, in LI-RADS v2017 LR-TIV has been introduced as a new different diagnostic category. The aim of this article is to discuss the diagnostic criteria of LR-TIV according to LI-RADS v2018 and analyze potential pitfalls encountered on daily clinical practice. Indeterminate cases and how to manage them will also be discussed.
Collapse
Affiliation(s)
- Roberta Catania
- Department of Radiology, Northwestern University Feinberg School of Medicine, 676 N. St. Clair Street, Chicago, IL, 60611, USA.
- Department of Radiology, Abdominal Imaging Division, University of Pittsburgh, 200 Lothrop St, UPMC Presbyterian Suite 200, Pittsburgh, PA, 15213, USA.
| | - Kalina Chupetlovska
- Diagnostic Imaging Department, University Hospital Saint Ivan Rilski, Sofia, Bulgaria
- Department of Radiology, Abdominal Imaging Division, University of Pittsburgh, 200 Lothrop St, UPMC Presbyterian Suite 200, Pittsburgh, PA, 15213, USA
| | - Amir A Borhani
- Department of Radiology, Northwestern University Feinberg School of Medicine, 676 N. St. Clair Street, Chicago, IL, 60611, USA
- Department of Radiology, Abdominal Imaging Division, University of Pittsburgh, 200 Lothrop St, UPMC Presbyterian Suite 200, Pittsburgh, PA, 15213, USA
| | - Ekta Maheshwari
- Department of Radiology, Abdominal Imaging Division, University of Pittsburgh, 200 Lothrop St, UPMC Presbyterian Suite 200, Pittsburgh, PA, 15213, USA
| | - Alessandro Furlan
- Department of Radiology, Abdominal Imaging Division, University of Pittsburgh, 200 Lothrop St, UPMC Presbyterian Suite 200, Pittsburgh, PA, 15213, USA
| |
Collapse
|
4
|
Qi Q, Weinstock AK, Chupetlovska K, Borhani AA, Jorgensen DR, Furlan A, Behari J, Molinari M, Ganesh S, Humar A, Duarte-Rojo A. Magnetic resonance imaging-derived proton density fat fraction (MRI-PDFF) is a viable alternative to liver biopsy for steatosis quantification in living liver donor transplantation. Clin Transplant 2021; 35:e14339. [PMID: 33963602 DOI: 10.1111/ctr.14339] [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] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/08/2021] [Revised: 04/13/2021] [Accepted: 04/21/2021] [Indexed: 12/20/2022]
Abstract
This study aimed to investigate whether magnetic resonance imaging-derived proton density fat fraction (MRI-PDFF) can be a viable noninvasive alternative to liver biopsy for the quantification of living liver donor steatosis. Hepatic steatosis for 143 donors was graded by MRI-PDFF. Study endpoints included liver volume regeneration in donors, recipient outcomes including length of hospital stay, deaths, primary non-function (PNF), early allograft dysfunction (EAD), and small for size syndrome (SFSS). Correlation between MRI-PDFF determined donor steatosis and endpoints were analyzed. Donors had lower steatosis grade than non-donors. Donor remnant liver regenerated to an average of 82% of pre-donation volume by 101 ± 24 days with no complications. There was no correlation between percent liver regeneration and steatosis severity. Among recipients, 4 underwent redo-transplantation and 6 died, with no association with degree of steatosis. 52 recipients (36%) fulfilled criteria for EAD (driven by INR), with no difference in hepatic steatosis between groups. MRI-PDFF reliably predicted donor outcomes. Living donors with no or mild steatosis based on MRI-PDFF (ie, <20%) and meeting other criteria for donation can expect favorable post-surgical outcomes, including liver regeneration. Recipients had a low rate of death or retransplantation with no association between mild hepatic steatosis and EAD.
Collapse
Affiliation(s)
- Qiaochu Qi
- Internal Medicine Program, University of Pittsburgh and University of Pittsburgh Medical Center, Pittsburgh, PA, USA
| | - Allison K Weinstock
- Department of Radiology, University of Pittsburgh and University of Pittsburgh Medical Center, Pittsburgh, PA, USA
| | - Kalina Chupetlovska
- Department of Radiology, University of Pittsburgh and University of Pittsburgh Medical Center, Pittsburgh, PA, USA
| | - Amir A Borhani
- Department of Radiology, University of Pittsburgh and University of Pittsburgh Medical Center, Pittsburgh, PA, USA
| | - Dana R Jorgensen
- Thomas E. Starzl Transplantation Institute, University of Pittsburgh and University of Pittsburgh Medical Center, Pittsburgh, PA, USA
| | - Alessandro Furlan
- Department of Radiology, University of Pittsburgh and University of Pittsburgh Medical Center, Pittsburgh, PA, USA
| | - Jaideep Behari
- Thomas E. Starzl Transplantation Institute, University of Pittsburgh and University of Pittsburgh Medical Center, Pittsburgh, PA, USA.,Division of Gastroenterology, Hepatology and Nutrition, University of Pittsburgh and University of Pittsburgh Medical Center, Pittsburgh, PA, USA
| | - Michele Molinari
- Thomas E. Starzl Transplantation Institute, University of Pittsburgh and University of Pittsburgh Medical Center, Pittsburgh, PA, USA.,Department of Surgery, University of Pittsburgh and University of Pittsburgh Medical Center, Pittsburgh, PA, USA
| | - Swaytha Ganesh
- Thomas E. Starzl Transplantation Institute, University of Pittsburgh and University of Pittsburgh Medical Center, Pittsburgh, PA, USA.,Division of Gastroenterology, Hepatology and Nutrition, University of Pittsburgh and University of Pittsburgh Medical Center, Pittsburgh, PA, USA
| | - Abhinav Humar
- Thomas E. Starzl Transplantation Institute, University of Pittsburgh and University of Pittsburgh Medical Center, Pittsburgh, PA, USA.,Department of Surgery, University of Pittsburgh and University of Pittsburgh Medical Center, Pittsburgh, PA, USA
| | - Andres Duarte-Rojo
- Thomas E. Starzl Transplantation Institute, University of Pittsburgh and University of Pittsburgh Medical Center, Pittsburgh, PA, USA.,Division of Gastroenterology, Hepatology and Nutrition, University of Pittsburgh and University of Pittsburgh Medical Center, Pittsburgh, PA, USA
| |
Collapse
|