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Spiesecke P, Thiemann J, Conen P, Clevert DA. Contrast enhanced ultrasound of cystic renal lesions, from diagnosis up to treatment. Clin Hemorheol Microcirc 2024:CH248102. [PMID: 39365320 DOI: 10.3233/ch-248102] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/05/2024]
Abstract
Ultrasound is the most used interdisciplinary imaging technique in clinical routine for assessment of renal pathologies. This includes the monitoring of cystic renal lesions, which can be classified as non-complicated or complicated and by means of occurrence as solitary or multifocal lesions. The Bosniak-classification (I-IV) classifies renal cysts in 5 different categories and is used for decisions of further clinical treatment. This classification was developed for computed tomography and has been adopted for magnetic resonance imaging as well as contrast-enhanced ultrasound. In the following review article, cystic kidney lesions and their differentiation using contrast-enhanced ultrasound are presented and an overview of the therapy options is given. In interventional procedures, CEUS can make a valuable contribution in histological sampling, reduce radiation exposure and, under certain circumstances, the number of interventions for the patient.
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Affiliation(s)
- P Spiesecke
- Department of Radiology, Interdisciplinary Ultrasound Center, Campus Charité Mitte, Charité, Universitätsmedizin Berlin, Freie Universität Berlin, Humboldt-Universität zu Berlin, and Berlin Institute of Health, Berlin, Germany
| | - J Thiemann
- Department of Radiology, Ludwig-Maximilians-University Munich, Germany
| | - P Conen
- Department of Radiology, Ludwig-Maximilians-University Munich, Germany
| | - D-A Clevert
- Department of Radiology, Ludwig-Maximilians-University Munich, Germany
- Interdisciplinary Ultrasound-Center, Ludwig-Maximilians-University Munich, Germany
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Kang H, Xie W, Wang H, Guo H, Jiang J, Liu Z, Ding X, Li L, Xu W, Zhao J, Bai X, Cui M, Ye H, Wang B, Yang D, Ma X, Liu J, Wang H. Multiparametric MRI-Based Machine Learning Models for the Characterization of Cystic Renal Masses Compared to the Bosniak Classification, Version 2019: A Multicenter Study. Acad Radiol 2024; 31:3223-3234. [PMID: 38242731 DOI: 10.1016/j.acra.2024.01.003] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/22/2023] [Revised: 12/26/2023] [Accepted: 01/03/2024] [Indexed: 01/21/2024]
Abstract
RATIONALE AND OBJECTIVE Accurate differentiation between benign and malignant cystic renal masses (CRMs) is challenging in clinical practice. This study aimed to develop MRI-based machine learning models for differentiating between benign and malignant CRMs and compare the best-performing model with the Bosniak classification, version 2019 (BC, version 2019). METHODS Between 2009 and 2021, consecutive surgery-proven CRM patients with renal MRI were enrolled in this multicenter study. Models were constructed to differentiate between benign and malignant CRMs using logistic regression (LR), random forest (RF), and support vector machine (SVM) algorithms, respectively. Meanwhile, two radiologists classified CRMs into I-IV categories according to the BC, version 2019 in consensus in the test set. A subgroup analysis was conducted to investigate the performance of the best-performing model in complicated CRMs (II-IV lesions in the test set). The performances of models and BC, version 2019 were evaluated using the area under the receiver operating characteristic curve (AUC). Performance was statistically compared between the best-performing model and the BC, version 2019. RESULTS 278 and 48 patients were assigned to the training and test sets, respectively. In the test set, the AUC and accuracy of the LR model, the RF model, the SVM model, and the BC, version 2019 were 0.884 and 75.0%, 0.907 and 83.3%, 0.814 and 72.9%, and 0.893 and 81.2%, respectively. Neither the AUC nor the accuracy of the RF model that performed best were significantly different from the BC, version 2019 (P = 0.780, P = 0.065). The RF model achieved an AUC and accuracy of 0.880 and 81.0% in complicated CRMs. CONCLUSIONS The MRI-based RF model can accurately differentiate between benign and malignant CRMs with comparable performance to the BC, version 2019, and has good performance in complicated CRMs, which may facilitate treatment decision-making and is less affected by interobserver disagreements.
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Affiliation(s)
- Huanhuan Kang
- Department of Radiology, First Medical Center of Chinese PLA General Hospital, No.28 Fuxing Road, Haidian District, Beijing 100853, China
| | - Wanfang Xie
- School of Engineering Medicine, Beihang University, Beijing 100191, China; Key Laboratory of Big Data-Based Precision Medicine (Beihang University), Ministry of Industry and Information Technology of China, Beijing 100191, China
| | - He Wang
- Radiology Department, Peking University First Hospital, Beijing 100034, China
| | - Huiping Guo
- Department of Radiology, First Medical Center of Chinese PLA General Hospital, No.28 Fuxing Road, Haidian District, Beijing 100853, China
| | - Jiahui Jiang
- Department of Radiology, Beijing Friendship Hospital, Capital Medical University, Beijing 100050, China
| | - Zhe Liu
- Radiology Department, Peking University First Hospital, Beijing 100034, China
| | - Xiaohui Ding
- Department of Pathology, First Medical Center, Chinese PLA General Hospital, Beijing 100853, China
| | - Lin Li
- Hospital Management Institute, Department of Innovative Medical Research, Chinese PLA General Hospital, Outpatient Building, Beijing 100853, China
| | - Wei Xu
- Department of Radiology, First Medical Center of Chinese PLA General Hospital, No.28 Fuxing Road, Haidian District, Beijing 100853, China
| | - Jian Zhao
- Department of Radiology, First Medical Center of Chinese PLA General Hospital, No.28 Fuxing Road, Haidian District, Beijing 100853, China
| | - Xu Bai
- Department of Radiology, First Medical Center of Chinese PLA General Hospital, No.28 Fuxing Road, Haidian District, Beijing 100853, China
| | - Mengqiu Cui
- Department of Radiology, First Medical Center of Chinese PLA General Hospital, No.28 Fuxing Road, Haidian District, Beijing 100853, China
| | - Huiyi Ye
- Department of Radiology, First Medical Center of Chinese PLA General Hospital, No.28 Fuxing Road, Haidian District, Beijing 100853, China
| | - Baojun Wang
- Department of Urology, Third Medical Center of Chinese PLA General Hospital, Beijing 100039, China
| | - Dawei Yang
- Department of Radiology, Beijing Friendship Hospital, Capital Medical University, Beijing 100050, China
| | - Xin Ma
- Department of Urology, Third Medical Center of Chinese PLA General Hospital, Beijing 100039, China
| | - Jiangang Liu
- School of Engineering Medicine, Beihang University, Beijing 100191, China; Key Laboratory of Big Data-Based Precision Medicine (Beihang University), Ministry of Industry and Information Technology of China, Beijing 100191, China
| | - Haiyi Wang
- Department of Radiology, First Medical Center of Chinese PLA General Hospital, No.28 Fuxing Road, Haidian District, Beijing 100853, China.
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Yu T, Yan Z, Li Z, Yang M, Yu Z, Chen Y, Li W. A contrast-enhanced computed tomography-based radiomics nomogram for preoperative differentiation between benign and malignant cystic renal lesions. Transl Androl Urol 2024; 13:949-961. [PMID: 38983472 PMCID: PMC11228685 DOI: 10.21037/tau-23-656] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/17/2023] [Accepted: 04/25/2024] [Indexed: 07/11/2024] Open
Abstract
Background There is lack of discrimination as to traditional imaging diagnostic methods of cystic renal lesions (CRLs). This study aimed to evaluate the value of machine learning models based on clinical data and contrast-enhanced computed tomography (CECT) radiomics features in the differential diagnosis of benign and malignant CRL. Methods There were 192 patients with CRL (Bosniak class ≥ II) enrolled through histopathological examination, including 144 benign cystic renal lesions (BCRLs) and 48 malignant cystic renal lesions (MCRLs). Radiomics features were extracted from CECT images taken during the medullary phase. Using the light gradient boosting machine (LightGBM) algorithm, the clinical, radiomics and combined models were constructed. A comprehensive nomogram was developed by integrating the radiomics score (Rad-score) with independent clinical factors. Receiver operating characteristic (ROC) curves were plotted. The corresponding area under the curve (AUC) value was worked out to quantify the discrimination performance of the three models in training and validation cohorts. Calibration curves were worked out to assess the accuracy of the probability values predicted by the models. Decision curve analysis (DCA) was worked out to assess the performance of models at different thresholds. Results Maximum diameter and Bosniak class were independent risk factors of patients with MCRL in the clinical model. Twenty-one radiomics features were extracted to work out a Rad-score. The performance of the clinical model in the training cohort was AUC =0.948, 95% confidence interval (CI): 0.917-0.980, and the performance in the validation cohort was AUC =0.936, 95% CI: 0.859-1.000 (P<0.05). The performance of the radiomics model in the training cohort was AUC =0.990, 95% CI: 0.979-1.000, and the performance in the validation cohort was AUC =0.959, 95% CI: 0.903-1.000 (P<0.05). Compared with the above models, the combined radiomics nomogram had an AUC of 0.989 (95% CI: 0.977-1.000) in the training cohort and an AUC of 0.962 (95% CI: 0.905-1.000) in the validation cohort (P<0.05), showing the best diagnostic efficacy. Conclusions The radiomics nomogram integrating clinical independent risk factors and radiomics signature improved the diagnostic accuracy in differentiating between BCRL and MCRL, which can provide a reference for clinical decision-making and help clinicians develop individualized treatment strategies for patients.
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Affiliation(s)
- Tianyi Yu
- Department of Urology, The Affiliated Hospital of Xuzhou Medical University, Xuzhou, China
| | - Zirong Yan
- Department of Urology, The Affiliated Hospital of Xuzhou Medical University, Xuzhou, China
| | - Zixiang Li
- Department of Urology, The Affiliated Hospital of Xuzhou Medical University, Xuzhou, China
| | - Meng Yang
- Department of Urology, The Affiliated Hospital of Xuzhou Medical University, Xuzhou, China
| | - Zesen Yu
- Department of Urology, The Affiliated Hospital of Xuzhou Medical University, Xuzhou, China
| | - Yuanjie Chen
- Department of Urology, The Affiliated Hospital of Xuzhou Medical University, Xuzhou, China
| | - Wang Li
- Department of Urology, The Affiliated Hospital of Xuzhou Medical University, Xuzhou, China
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Emmons BR, Adler JT, Sandoval PR, King KL, Yu M, Cron DC, Mohan S, Ratner LE, Husain SA. Association between donor kidney cysts and donor and recipient outcomes after living donor kidney transplantation. Clin Transplant 2024; 38:e15242. [PMID: 38289895 DOI: 10.1111/ctr.15242] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/03/2023] [Revised: 11/08/2023] [Accepted: 01/04/2024] [Indexed: 02/01/2024]
Abstract
INTRODUCTION Incidental kidneys cysts are typically considered benign, but the presence of cysts is more frequent in individuals with other early markers of kidney disease. We studied the association of donor kidney cysts with donor and recipient outcomes after living donor kidney transplantation. METHODS We retrospective identified 860 living donor transplants at our center (1/1/2011-7/31/2022) without missing data. Donor cysts were identified by review of pre-donation CT scan reports. We used linear regression to study the association between donor cysts and 6-month single-kidney estimated glomerular filtration rate (eGFR) increase, and time-to-event analyses to study the association between donor cysts and recipient death-censored graft failure. RESULTS Among donors, 77% donors had no kidney cysts, 13% had ≥1 cyst on the kidney not donated, and 11% only had cysts on the donated kidney. In adjusted linear regression, cysts on the donated kidney and kidney not donated were not significantly associated with 6-month single-kidney eGFR increase. Among transplants, 17% used a transplanted kidney with a cyst and 6% were from donors with cysts only on the kidney not transplanted. There was no association between donor cyst group and post-transplant death-censored graft survival. Results were similar in sensitivity analyses comparing transplants using kidneys with no cysts versus 1-2 cysts versus ≥3 cysts. CONCLUSIONS Kidney cysts in living kidney donors were not associated with donor kidney recovery or recipient allograft longevity, suggesting incidental kidney cysts need not be taken into account when determining living donor candidate suitability or the laterality of planned donor nephrectomy.
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Affiliation(s)
- Brendan R Emmons
- Department of Medicine, Division of Nephrology, Columbia University Vagelos College of Physicians & Surgeons, New York, New York, USA
- Columbia University Renal Epidemiology Group, New York, New York, USA
| | - Joel T Adler
- Department of Surgery and Perioperative Care, Dell Medical School, University of Texas at Austin, Austin, Texas, USA
| | - Pedro Rodrigo Sandoval
- Department of Surgery, Columbia University Vagelos College of Physicians & Surgeons, New York, New York, USA
| | - Kristen L King
- Department of Medicine, Division of Nephrology, Columbia University Vagelos College of Physicians & Surgeons, New York, New York, USA
- Columbia University Renal Epidemiology Group, New York, New York, USA
| | - Miko Yu
- Department of Medicine, Division of Nephrology, Columbia University Vagelos College of Physicians & Surgeons, New York, New York, USA
- Columbia University Renal Epidemiology Group, New York, New York, USA
| | - David C Cron
- Department of Surgery, Massachusetts General Hospital, Boston, Massachusetts, USA
| | - Sumit Mohan
- Department of Medicine, Division of Nephrology, Columbia University Vagelos College of Physicians & Surgeons, New York, New York, USA
- Columbia University Renal Epidemiology Group, New York, New York, USA
- Department of Epidemiology, Mailman School of Public Health, Columbia University, New York, New York, USA
| | - Lloyd E Ratner
- Department of Surgery, Columbia University Vagelos College of Physicians & Surgeons, New York, New York, USA
| | - Syed Ali Husain
- Department of Medicine, Division of Nephrology, Columbia University Vagelos College of Physicians & Surgeons, New York, New York, USA
- Columbia University Renal Epidemiology Group, New York, New York, USA
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Lan L, Yang Y, Xu ZQ, Jin XC, Huang KT, Chen YX, Yang CX, Zhou M. Clinical Evaluation of Cystic Renal Masses With Bosniak Classification by Contrast-Enhanced Ultrasound and Contrast-Enhanced Computer Tomography. JOURNAL OF ULTRASOUND IN MEDICINE : OFFICIAL JOURNAL OF THE AMERICAN INSTITUTE OF ULTRASOUND IN MEDICINE 2023; 42:2845-2858. [PMID: 37732901 DOI: 10.1002/jum.16324] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 12/10/2022] [Revised: 08/10/2023] [Accepted: 08/11/2023] [Indexed: 09/22/2023]
Abstract
OBJECTIVES The study aims to compare retrospectively three clinically applied methods for the diagnostic performance of cystic renal masses (CRMs) by contrast-enhanced ultrasound (CEUS) and contrast-enhanced computer tomography (CECT) with Bosniak classification system. METHODS A total of 52 cases of Bosniak II-IV CRMs in 49 consecutive patients were diagnosed from January 2013 to July 2022 and their data were analyzed. All patients had been subjected to CEUS and CECT simultaneously. Pathological diagnoses and masses stability were used as standard references to determine whether lesions were malignant or benign. Then 49 CRMs only with pathologic results were classified into group 1 and 2. RESULTS A total of 52 CRMs in 49 enrolled patients were classified into 8 category II, 16 category IIF, 15 category III, and 13 category IV by CEUS (EFSUMB 2020), 10 category II, 13 category IIF, 16 category III, and 13 category IV by CEUS (V2019), while 15 category II, 9 category IIF, 13 category III, and 15 category IV by CECT (V2019). Pathological results and masses stability longer than 5 years follow-up performed substantially for CEUS (EFSUMB 2020), CEUS (V2019), and CECT (V2019) (kappa values were 0.696, 0.735, and 0.696, respectively). Among 49 pathologic approving CRMs, wall/septation thickness ≥4 mm, wall/septation thickness, presence of enhancing nodule and the diameter were found to be statistically significant for malignancy. Twenty-two malignant masses were correctly diagnosed by CEUS (V2019), while 21 malignant masses were both correctly diagnosed by CEUS (EFSUMB 2020) and CECT (V2019), and 1 mass was misdiagnosed. CONCLUSIONS Bosniak classification of EFSUMB 2020 version might be as accurate as version 2019 CEUS and version 2019 CECT in diagnosing CRMs, and CEUS is found to have an excellent safety profile in dealing with clinical works.
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Affiliation(s)
- Li Lan
- Department of Ultrasound, The First Affiliated Hospital of Wenzhou Medical University, Wenzhou, China
| | - Yu Yang
- Department of Urology, The First Affiliated Hospital of Wenzhou Medical University, Wenzhou, China
| | - Zi-Qiang Xu
- Department of Urology, The First Affiliated Hospital of Wenzhou Medical University, Wenzhou, China
| | - Xuan-Chen Jin
- School of the First Clinical Medical Sciences (School of Information and Engineering), Wenzhou Medical University, Wenzhou, China
| | - Ka-Te Huang
- Department of Pathology, The First Affiliated Hospital of Wenzhou Medical University, Wenzhou, China
| | - Yu-Xuan Chen
- School of the First Clinical Medical Sciences (School of Information and Engineering), Wenzhou Medical University, Wenzhou, China
| | - Chen-Xing Yang
- Department of Ultrasound, The First Affiliated Hospital of Wenzhou Medical University, Wenzhou, China
| | - Man Zhou
- Department of Ultrasound, The First Affiliated Hospital of Wenzhou Medical University, Wenzhou, China
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Walmer RW, Ritter VS, Sridharan A, Kasoji SK, Altun E, Lee E, Olinger K, Wagner S, Radhakrishna R, Johnson KA, Rathmell WK, Qaqish B, Dayton PA, Chang EH. The Performance of Flash Replenishment Contrast-Enhanced Ultrasound for the Qualitative Assessment of Kidney Lesions in Patients with Chronic Kidney Disease. J Clin Med 2023; 12:6494. [PMID: 37892632 PMCID: PMC10607866 DOI: 10.3390/jcm12206494] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/22/2023] [Revised: 09/26/2023] [Accepted: 10/05/2023] [Indexed: 10/29/2023] Open
Abstract
We investigated the accuracy of CEUS for characterizing cystic and solid kidney lesions in patients with chronic kidney disease (CKD). Cystic lesions are assessed using Bosniak criteria for computed tomography (CT) and magnetic resonance imaging (MRI); however, in patients with moderate to severe kidney disease, CT and MRI contrast agents may be contraindicated. Contrast-enhanced ultrasound (CEUS) is a safe alternative for characterizing these lesions, but data on its performance among CKD patients are limited. We performed flash replenishment CEUS in 60 CKD patients (73 lesions). Final analysis included 53 patients (63 lesions). Four readers, blinded to true diagnosis, interpreted each lesion. Reader evaluations were compared to true lesion classifications. Performance metrics were calculated to assess malignant and benign diagnoses. Reader agreement was evaluated using Bowker's symmetry test. Combined reader sensitivity, specificity, positive predictive value (PPV), and negative predictive value (NPV) for diagnosing malignant lesions were 71%, 75%, 45%, and 90%, respectively. Sensitivity (81%) and specificity (83%) were highest in CKD IV/V patients when grouped by CKD stage. Combined reader sensitivity, specificity, PPV, and NPV for diagnosing benign lesions were 70%, 86%, 91%, and 61%, respectively. Again, in CKD IV/V patients, sensitivity (81%), specificity (95%), and PPV (98%) were highest. Inter-reader diagnostic agreement varied from 72% to 90%. In CKD patients, CEUS is a potential low-risk option for screening kidney lesions. CEUS may be particularly beneficial for CKD IV/V patients, where kidney preservation techniques are highly relevant.
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Affiliation(s)
- Rachel W. Walmer
- Joint Department of Biomedical Engineering, University of North Carolina at Chapel Hill and North Carolina State University, Chapel Hill, NC 27599, USA; (A.S.)
| | - Victor S. Ritter
- Department of Biostatistics, University of North Carolina at Chapel Hill, Chapel Hill, NC 27599, USA
| | - Anush Sridharan
- Joint Department of Biomedical Engineering, University of North Carolina at Chapel Hill and North Carolina State University, Chapel Hill, NC 27599, USA; (A.S.)
- Fox Chase Cancer Center, Philadelphia, PA 19111, USA
| | - Sandeep K. Kasoji
- Joint Department of Biomedical Engineering, University of North Carolina at Chapel Hill and North Carolina State University, Chapel Hill, NC 27599, USA; (A.S.)
- Triangle Biotechnology, Durham, NC 27709, USA
| | - Ersan Altun
- Department of Radiology, University of North Carolina at Chapel Hill, Chapel Hill, NC 27599, USA; (E.A.); (K.O.)
| | - Ellie Lee
- Department of Radiology, University of North Carolina at Chapel Hill, Chapel Hill, NC 27599, USA; (E.A.); (K.O.)
| | - Kristen Olinger
- Department of Radiology, University of North Carolina at Chapel Hill, Chapel Hill, NC 27599, USA; (E.A.); (K.O.)
| | - Sean Wagner
- Department of Radiology, University of North Carolina at Chapel Hill, Chapel Hill, NC 27599, USA; (E.A.); (K.O.)
| | - Roshni Radhakrishna
- Department of Medicine, University of North Carolina at Chapel Hill, Chapel Hill, NC 27599, USA (E.H.C.)
| | - Kennita A. Johnson
- Joint Department of Biomedical Engineering, University of North Carolina at Chapel Hill and North Carolina State University, Chapel Hill, NC 27599, USA; (A.S.)
| | | | - Bahjat Qaqish
- Department of Biostatistics, University of North Carolina at Chapel Hill, Chapel Hill, NC 27599, USA
| | - Paul A. Dayton
- Joint Department of Biomedical Engineering, University of North Carolina at Chapel Hill and North Carolina State University, Chapel Hill, NC 27599, USA; (A.S.)
| | - Emily H. Chang
- Department of Medicine, University of North Carolina at Chapel Hill, Chapel Hill, NC 27599, USA (E.H.C.)
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Elbaset MA, Ashour R, Elgamal M, Elbatta A, Ghobrial FK, Abouelkheir RT, Mosbah A, Osman Y. The efficacy of the new Bosniak classification v.2019 in benign lesions prediction within the higher Bosniak cysts classes. Urol Oncol 2023; 41:434.e1-434.e7. [PMID: 37574368 DOI: 10.1016/j.urolonc.2023.06.007] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/11/2023] [Revised: 05/29/2023] [Accepted: 06/18/2023] [Indexed: 08/15/2023]
Abstract
INTRODUCTION Identification of benign lesions among higher classes of renal Bosniak cysts who are vulnerable to active surveillance instead of surgical approach is still questionable. We aimed in this study to delineate the efficacy of the new Bosniak v2019 classification in benign lesions identification among those cases with higher Bosniak classes in comparison with the final histopathology. MATERIALS In a retrospective review between 2010 and 2021 for patients diagnosed as higher classes Bosniak renal masses was done. Patients' demographics and radiological data i.e.,: age, gender, and final Bosniak v2019 categorization for class III: (1) Enhancing thick wall/septa >4 mm (III-WS) and (2) Enhancing irregular wall/septa or convex protrusion with obtuse margins <3 mm (III-OP) and for class IV as: (1) Enhancing nodule or convex protrusion with obtuse margins >4 mm (IV-OP) and (2) Enhancing nodule or convex protrusion with acute margins of any size (IV-AP). RESULTS A total of 137 patients were included. Bosniak III was identified in 56 patients. Malignancy was detected in 74.5% of resected masses. Among resected Bosniak III cyst, 46.4% were benign histopathologically. Male gender and Bosniak III-OP were independent risks for malignancy among the resected Bosniak III cysts. Conversely, in resected Bosniak IV renal cysts, only 9 of resected masses were benign. In univariate analysis, male gender, absence of multilocular cyst and endophytic masses were predictors for malignancy in resected Bosniak IV cyst. None of the previous predictors was significant in multivariate analysis. CONCLUSION The Bosniak subclassification v.2019 can define benign lesions. Bosniak III-OP was an independent risk for malignancy detection among the resected Bosniak III cysts.
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Affiliation(s)
- Mohamed Abd Elbaset
- Department of Urology, Urology and Nephrology Center, Mansoura University, Mansoura, Egypt.
| | - Rawdy Ashour
- Department of Urology, Urology and Nephrology Center, Mansoura University, Mansoura, Egypt
| | - Mostafa Elgamal
- Department of Urology, Urology and Nephrology Center, Mansoura University, Mansoura, Egypt
| | - Ahmed Elbatta
- Department of Urology, Urology and Nephrology Center, Mansoura University, Mansoura, Egypt
| | | | - Rasha T Abouelkheir
- Department of Radiology, Urology and Nephrology Center, Mansoura University, Mansoura, Egypt
| | - Ahmed Mosbah
- Department of Urology, Urology and Nephrology Center, Mansoura University, Mansoura, Egypt
| | - Yasser Osman
- Department of Urology, Urology and Nephrology Center, Mansoura University, Mansoura, Egypt
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Wang T, Yang H, Hao D, Nie P, Liu Y, Huang C, Huang Y, Wang H, Niu H. A CT-based radiomics nomogram for distinguishing between malignant and benign Bosniak IIF masses: a two-centre study. Clin Radiol 2023; 78:590-600. [PMID: 37258333 DOI: 10.1016/j.crad.2023.04.011] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/01/2022] [Revised: 03/19/2023] [Accepted: 04/24/2023] [Indexed: 06/02/2023]
Abstract
AIM To establish and assess a computed tomography (CT)-based radiomics nomogram for identifying malignant and benign Bosniak IIF masses. MATERIALS AND METHODS In total, 150 patients with Bosniak IIF masses were separated into a training set (n=106) and a test set (n=44) in a ratio of 7:3. A radiomics signature was calculated based on extracted features from the three phases of CT images. A clinical model was constructed based on clinical characteristics and CT features, and a nomogram incorporating the radiomics signature and independent clinical variables was established. The calibration ability, discrimination accuracy, and clinical value of the nomogram model were assessed. RESULTS Twelve features derived from CT images were applied to establish the radiomics signature. The performance levels of three machine-learning models were improved by adding the synthetic minority oversampling technique algorithm. The optimised machine learning model was a combination of the minimum redundancy maximum relevance-least absolute shrinkage and selection operator feature screening method + logistic regression classifier + synthetic minority oversampling technique algorithm, which demonstrated excellent identification ability on the test set (area under the curve [AUC], 0.970; 95% confidence interval [CI], 0.940-1.000). The nomogram model displayed outstanding discrimination ability on the test set (AUC, 0.972; 95% CI, 0.942-1.000). CONCLUSIONS The CT-based radiomics nomogram was useful for discriminating between malignant and benign Bosniak IIF masses, which improved the precision of preoperative diagnosis.
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Affiliation(s)
- T Wang
- Department of Radiology, The Affiliated Hospital of Qingdao University, Qingdao, Shandong, China
| | - H Yang
- Institute for Future (IFF), Qingdao University, Qingdao, Shandong, China
| | - D Hao
- Department of Radiology, The Affiliated Hospital of Qingdao University, Qingdao, Shandong, China
| | - P Nie
- Department of Radiology, The Affiliated Hospital of Qingdao University, Qingdao, Shandong, China
| | - Y Liu
- Institute for Future (IFF), Qingdao University, Qingdao, Shandong, China
| | - C Huang
- Department of Research Collaboration, R&D Center, Beijing Deepwise & League of PHD Technology Co., Ltd, Beijing, China
| | - Y Huang
- Department of Radiology, The Puyang City Oilfield General Hospital, Puyang, Henan, China
| | - H Wang
- Department of Radiology, The Affiliated Hospital of Qingdao University, Qingdao, Shandong, China.
| | - H Niu
- Department of Urology, The Affiliated Hospital of Qingdao University, Qingdao, Shandong, China.
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Alrumayyan M, Raveendran L, Lawson KA, Finelli A. Cystic Renal Masses: Old and New Paradigms. Urol Clin North Am 2023; 50:227-238. [PMID: 36948669 DOI: 10.1016/j.ucl.2023.01.003] [Citation(s) in RCA: 4] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/22/2023]
Abstract
Cystic renal masses describe a spectrum of lesions with benign and/or malignant features. Cystic renal masses are most often identified incidentally with the Bosniak classification system stratifying their malignant potential. Solid enhancing components most often represent clear cell renal cell carcinoma yet display an indolent natural history relative to pure solid renal masses. This has led to an increased adoption of active surveillance as a management strategy in those who are poor surgical candidates. This article provides a contemporary overview of historical and emerging clinical paradigms in the diagnosis and management of this distinct clinical entity.
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Affiliation(s)
- Majed Alrumayyan
- Division of Urology, Department of Surgery, Princess Margaret Cancer Centre, University Health Network, Toronto, Ontario, Canada
| | - Lucshman Raveendran
- Division of Urology, Department of Surgery, Princess Margaret Cancer Centre, University Health Network, Toronto, Ontario, Canada
| | - Keith A Lawson
- Division of Urology, Department of Surgery, Princess Margaret Cancer Centre, University Health Network, Toronto, Ontario, Canada
| | - Antonio Finelli
- Division of Urology, Department of Surgery, Princess Margaret Cancer Centre, University Health Network, Toronto, Ontario, Canada.
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10
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The Global Reading Room: Responding to a Patient's Email. AJR Am J Roentgenol 2023; 220:759-760. [PMID: 36129223 DOI: 10.2214/ajr.22.28528] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/18/2022]
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11
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Dana J, Gauvin S, Zhang M, Lotero J, Cassim C, Artho G, Bhatnagar SR, Tanguay S, Reinhold C. CT-based Bosniak classification of cystic renal lesions: is version 2019 an improvement on version 2005? Eur Radiol 2023; 33:1297-1306. [PMID: 36048207 DOI: 10.1007/s00330-022-09082-x] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/06/2022] [Revised: 07/02/2022] [Accepted: 08/04/2022] [Indexed: 02/03/2023]
Abstract
OBJECTIVE To compare the diagnostic performance and inter-reader agreement of the CT-based v2019 versus v2005 Bosniak classification systems for risk stratification of cystic renal lesions (CRL). METHODS This retrospective study included adult patients with CRL identified on CT scan between 2005 and 2018. The reference standard was histopathology or a minimum 4-year imaging follow-up. The studies were reviewed independently by five readers (three senior, two junior), blinded to pathology results and imaging follow-up, who assigned Bosniak categories based on the 2005 and 2019 versions. Diagnostic performance of v2005 and v2019 Bosniak classifications for distinguishing benign from malignant lesions was calculated by dichotomizing CRL into the potential for ablative therapy (III-IV) or conservative management (I-IIF). Inter-reader agreement was calculated using Light's Kappa. RESULTS One hundred thirty-nine patients with 149 CRL (33 malignant) were included. v2005 and v2019 Bosniak classifications achieved similar diagnostic performance with a sensitivity of 91% vs 91% and a specificity of 89% vs 88%, respectively. Inter-reader agreement for overall Bosniak category assignment was substantial for v2005 (κ = 0.78) and v2019 (κ = 0.75) between senior readers but decreased for v2019 when the Bosniak classification was dichotomized to conservative management (I-IIF) or ablative therapy (III-IV) (0.80 vs 0.71, respectively). For v2019, wall thickness was the morphological feature with the poorest inter-reader agreement (κ = 0.43 and 0.18 for senior and junior readers, respectively). CONCLUSION No significant improvement in diagnostic performance and inter-reader agreement was shown between v2005 and v2019. The observed decrease in inter-reader agreement in v2019 when dichotomized according to management strategy may reflect the more stringent morphological criteria. KEY POINTS • Versions 2005 and 2019 Bosniak classifications achieved similar diagnostic performance, but the specificity of higher risk categories (III and IV) was not increased while one malignant lesion was downgraded to v2019 Bosniak category II (i.e., not subjected to further follow-up). • Inter-reader agreement was similar between v2005 and v2019 but moderately decreased for v2019 when the Bosniak classification was dichotomized according to the potential need for ablative therapies (I-II-IIF vs III-IV).
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Affiliation(s)
- Jérémy Dana
- Department of Diagnostic Radiology, McGill University Health Center, 1001 Decarie Boul., H4A 3J1, Montréal, Québec, Canada.,Strasbourg University, Inserm U1110, Institut de Recherche sur les Maladies Virales et Hépatiques, Strasbourg, France.,IHU-Strasbourg (Institut Hospitalo-Universitaire), Institute for Minimally Invasive Hybrid Image-Guided Surgery, Université de Strasbourg, Strasbourg, France
| | - Simon Gauvin
- Department of Diagnostic Radiology, McGill University Health Center, 1001 Decarie Boul., H4A 3J1, Montréal, Québec, Canada.,Montreal Imaging Experts Inc., Montreal, Canada
| | - Michelle Zhang
- Department of Diagnostic Radiology, McGill University Health Center, 1001 Decarie Boul., H4A 3J1, Montréal, Québec, Canada.,Montreal Imaging Experts Inc., Montreal, Canada
| | - Jose Lotero
- Department of Diagnostic Radiology, McGill University Health Center, 1001 Decarie Boul., H4A 3J1, Montréal, Québec, Canada
| | - Christopher Cassim
- Department of Diagnostic Radiology, McGill University Health Center, 1001 Decarie Boul., H4A 3J1, Montréal, Québec, Canada
| | - Giovanni Artho
- Department of Diagnostic Radiology, McGill University Health Center, 1001 Decarie Boul., H4A 3J1, Montréal, Québec, Canada.,Montreal Imaging Experts Inc., Montreal, Canada
| | - Sahir Rai Bhatnagar
- Department of Diagnostic Radiology, McGill University Health Center, 1001 Decarie Boul., H4A 3J1, Montréal, Québec, Canada.,Department of Epidemiology, Biostatistics and Occupational Health, McGill University Health Center, Montréal, Québec, Canada
| | - Simon Tanguay
- Department of Urology, McGill University Health Center, Montréal, Québec, Canada
| | - Caroline Reinhold
- Department of Diagnostic Radiology, McGill University Health Center, 1001 Decarie Boul., H4A 3J1, Montréal, Québec, Canada. .,Montreal Imaging Experts Inc., Montreal, Canada. .,Augmented Intelligence & Precision Health Laboratory of the Research Institute of McGill University Health Centre, Montreal, Canada.
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Proportion of malignancy in Bosniak classification of cystic renal masses version 2019 (v2019) classes: systematic review and meta-analysis. Eur Radiol 2023; 33:1307-1317. [PMID: 35999371 DOI: 10.1007/s00330-022-09102-w] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/14/2022] [Revised: 08/03/2022] [Accepted: 08/05/2022] [Indexed: 02/03/2023]
Abstract
OBJECTIVES Determine the proportion of malignancy within Bosniak v2019 classes. METHODS MEDLINE and EMBASE were searched. Eligible studies contained patients with cystic renal masses undergoing CT or MRI renal protocol examinations with pathology confirmation, applying Bosniak v2019. Proportion of malignancy was estimated within Bosniak v2019 class. Risk of bias was assessed using QUADAS-2. RESULTS We included 471 patients with 480 cystic renal masses. No class I malignant masses were observed. Pooled proportion of malignancy were class II, 12% (6/51, 95% CI 5-24%); class IIF, 46% (37/85, 95% CI 28-66%); class III, 79% (138/173, 95% CI 68-88%); and class IV, 84% (114/135, 95% CI 77-90%). Proportion of malignancy differed between Bosniak v2019 II-IV classes (p = 0.004). Four studies reported the proportion of malignancy by wall/septa feature. The pooled proportion of malignancy with 95% CI were class III thick smooth wall/septa, 77% (41/56, 95% CI 53-91%); class III obtuse protrusion ≤ 3 mm (irregularity), 83% (97/117, 95% CI 75-89%); and class IV nodule with acute angulation, 86% (50/58, 95% CI 75-93%) or obtuse angulation ≥ 4 mm, 83%, (64/77, 95% CI 73-90%). Subgroup analysis by wall/septa feature was limited by sample size; however, no differences were found comparing class III masses with irregularity to class IV masses (p = 0.74) or between class IV masses by acute versus obtuse angles (p = 0.62). CONCLUSION Preliminary data suggest Bosniak v2019 class IIF masses have higher proportion of malignancy compared to the original classification, controlling for pathologic reference standard. There are no differences in proportion of malignancy comparing class III masses with irregularities to class IV masses with acute or obtuse nodules. KEY POINTS • The proportion of malignancy in Bosniak v2019 class IIF cystic masses is 46% (37 malignant/85 total IIF masses, 95% confidence intervals (CI) 28-66%). • The proportion of malignancy in Bosniak v2019 class III cystic masses is 79% (138/173, 95% CI 68-88%) and in Bosniak v2019 class IV cystic masses is 84% (114/135, 95% CI 77-90%). • Class III cystic masses with irregularities had similar proportion of malignancy (83%, 97/117, 95% CI 75-89%) compared to Bosniak class IV masses (84%, 114/135, 95% CI 77-90%) overall (p = 0.74) with no difference within class IV masses by acute versus obtuse angulation (p = 0.62).
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Almalki YE, Basha MAA, Refaat R, Alduraibi SK, Abdalla AAEHM, Yousef HY, Zaitoun MMA, Elsayed SB, Mahmoud NEM, Alayouty NA, Ali SA, Alnaggar AA, Saber S, El-Maghraby AM, Elsheikh AM, Radwan MHSS, Abdelmegid AGI, Aly SA, Shanab WSA, Obaya AA, Abdelhai SF, Elshorbagy S, Haggag YM, Mokhtar HM, Sabry NM, Altohamy JI, Abouelkheir RT, Omran T, Shalan A, Algazzar YH, Metwally MI. Bosniak classification version 2019: a prospective comparison of CT and MRI. Eur Radiol 2023; 33:1286-1296. [PMID: 35962816 DOI: 10.1007/s00330-022-09044-3] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/25/2022] [Revised: 06/13/2022] [Accepted: 07/19/2022] [Indexed: 02/03/2023]
Abstract
OBJECTIVE To assess the diagnostic accuracy and agreement of CT and MRI in terms of the Bosniak classification version 2019 (BCv2019). MATERIALS AND METHODS A prospective multi-institutional study enrolled 63 patients with 67 complicated cystic renal masses (CRMs) discovered during ultrasound examination. All patients underwent CT and MRI scans and histopathology. Three radiologists independently assessed CRMs using BCv2019 and assigned Bosniak class to each CRM using CT and MRI. The final analysis included 60 histopathologically confirmed CRMs (41 were malignant and 19 were benign). RESULTS Discordance between CT and MRI findings was noticed in 50% (30/60) CRMs when data were analyzed in terms of the Bosniak classes. Of these, 16 (53.3%) were malignant. Based on consensus reviewing, there was no difference in the sensitivity, specificity, and accuracy of the BCv2019 with MRI and BCv2019 with CT (87.8%; 95% CI = 73.8-95.9% versus 75.6%; 95% CI = 59.7-87.6%; p = 0.09, 84.2%; 95% CI = 60.4-96.6% versus 78.9%; 95% CI = 54.4-93.9%; p = 0.5, and 86.7%; 95% CI = 64.0-86.6% versus 76.7%; 95% CI = 75.4-94.1%; p = 0.1, respectively). The number and thickness of septa and the presence of enhanced nodules accounted for the majority of variations in Bosniak classes between CT and MRI. The inter-reader agreement (IRA) was substantial for determining the Bosniak class in CT and MRI (k = 0.66; 95% CI = 0.54-0.76, k = 0.62; 95% CI = 0.50-0.73, respectively). The inter-modality agreement of the BCv219 between CT and MRI was moderate (κ = 0.58). CONCLUSION In terms of BCv2019, CT and MRI are comparable in the classification of CRMs with no significant difference in diagnostic accuracy and reliability. KEY POINTS • There is no significant difference in the sensitivity, specificity, and accuracy of the BCv2019 with MRI and BCv2019 with CT. • The number of septa and their thickness and the presence of enhanced nodules accounted for the majority of variations in Bosniak classes between CT and MRI. • The inter-reader agreement was substantial for determining the Bosniak class in CT and MRI and the inter-modality agreement of the BCv219 between CT and MRI was moderate.
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Affiliation(s)
- Yassir Edrees Almalki
- Division of Radiology, Department of Internal Medicine, Medical College, Najran University, Najran, Kingdom of Saudi Arabia
| | | | - Rania Refaat
- Department of Diagnostic Radiology, Intervention and Molecular Imaging, Faculty of Human Medicine, Ain Shams University, Cairo, Egypt
| | - Sharifa Khalid Alduraibi
- Department of Radiology, College of Medicine, Qassim University, Buraidah, Kingdom of Saudi Arabia
| | | | - Hala Y Yousef
- Department of Diagnostic Radiology, Faculty of Human Medicine, Zagazig University, Zagazig, Egypt
| | - Mohamed M A Zaitoun
- Department of Diagnostic Radiology, Faculty of Human Medicine, Zagazig University, Zagazig, Egypt
| | - Saeed Bakry Elsayed
- Department of Diagnostic Radiology, Faculty of Human Medicine, Zagazig University, Zagazig, Egypt
| | - Nader E M Mahmoud
- Department of Diagnostic Radiology, Faculty of Human Medicine, Zagazig University, Zagazig, Egypt
| | - Nader Ali Alayouty
- Department of Diagnostic Radiology, Faculty of Human Medicine, Zagazig University, Zagazig, Egypt
| | - Susan Adil Ali
- Department of Diagnostic Radiology, Intervention and Molecular Imaging, Faculty of Human Medicine, Ain Shams University, Cairo, Egypt
| | - Ahmad Abdullah Alnaggar
- Department of Diagnostic Radiology, Faculty of Human Medicine, Zagazig University, Zagazig, Egypt
| | - Sameh Saber
- Department of Diagnostic Radiology, Faculty of Human Medicine, Zagazig University, Zagazig, Egypt
| | | | - Amgad M Elsheikh
- Department of Diagnostic Radiology, Faculty of Human Medicine, Zagazig University, Zagazig, Egypt
| | | | | | - Sameh Abdelaziz Aly
- Department of Diagnostic Radiology, Faculty of Human Medicine, Benha University, Benha, Egypt
| | - Waleed S Abo Shanab
- Department of Diagnostic Radiology, Faculty of Human Medicine, Port Said University, Port Said, Egypt
| | - Ahmed Ali Obaya
- Department of Clinical Oncology, Faculty of Human Medicine, Zagazig University, Zagazig, Egypt
| | - Shaimaa Farouk Abdelhai
- Department of Clinical Oncology, Faculty of Human Medicine, Zagazig University, Zagazig, Egypt
| | - Shereen Elshorbagy
- Department of Medical Oncology, Faculty of Human Medicine, Zagazig University, Zagazig, Egypt
| | - Yasser M Haggag
- Department of Urology, Faculty of Human Medicine, Al Azhar University, Cairo, Egypt
| | - Hwaida M Mokhtar
- Department of Diagnostic Radiology, Faculty of Human Medicine, Tanta University, Tanta, Egypt
| | - Nesreen M Sabry
- Department of Clinical Oncology, Faculty of Human Medicine, Tanta University, Tanta, Egypt
| | - Jehan Ibrahim Altohamy
- Department of Diagnostic Radiology, National Institute of Urology and Nephrology, Cairo, Egypt
| | - Rasha Taha Abouelkheir
- Department of Diagnostic Radiology, Urology and Nephrology Center, Mansoura University, Mansoura, Egypt
| | - Tawfik Omran
- Department of Diagnostic Radiology, Faculty of Human Medicine, Helwan University, Cairo, Egypt
| | - Ahmed Shalan
- Department of Diagnostic Radiology, Faculty of Human Medicine, Benha University, Benha, Egypt
| | | | - Maha Ibrahim Metwally
- Department of Diagnostic Radiology, Faculty of Human Medicine, Zagazig University, Zagazig, Egypt
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Oh A, Bhardwaj L, Cacciamani G, Desai MM, Duddalwar VA. Cost-effectiveness of Contrast-Enhanced Ultrasound for Diagnosis and Active Surveillance of Complex Cystic Renal Lesions. UROLOGY PRACTICE 2023; 10:11-19. [PMID: 36777990 PMCID: PMC9918021 DOI: 10.1097/upj.0000000000000354] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/22/2022] [Accepted: 09/20/2022] [Indexed: 11/06/2022]
Abstract
Purpose To determine the cost-effectiveness of Contrast-Enhanced Ultrasound (ceUS) for the active surveillance of complex renal masses compared to the more established imaging modalities of CT and MRI. Methods A decision-analytic Markov state microsimulation model was constructed in TreeAge Pro. We simulated independent cohorts of 100,000 60-year-old individuals with either a Bosniak IIF or Bosniak III complex renal mass who were followed for 10 years or until death. The model compared three imaging strategies: (1) ceUS, (2) contrast-enhanced magnetic-resonance imaging (ceMRI), and (3) contrast-enhanced computed tomography (ceCT) for active surveillance of a complex renal mass. Results For 60-year-old patients with either Bosniak IIF or III renal masses, ceUS was the most cost-effective strategy even after varying rates of active surveillance from 10-100%. Conclusion ceUS is a viable and cost-effective option in the active surveillance of Bosniak class IIF and III renal cysts. Even after varying the rates of active surveillance usage, ceUS was robust and remained the most dominant strategy. For patients who have impaired kidney functions, ceUS is can be a safer alternative than non-contrast enhanced CT or MRI in the management of patients with Bosniak III renal cysts.
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Affiliation(s)
- Aaron Oh
- Albert Einstein College of Medicine, Bronx, NY USA
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Valtersson J, Rasmussen BS, Elgborn A, Lund L, Graumann O. One hour observation of patients after image-guided percutaneous renal mass biopsy. Acta Radiol Open 2022; 11:20584601221138555. [DOI: 10.1177/20584601221138555] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/21/2022] [Accepted: 10/26/2022] [Indexed: 11/26/2022] Open
Abstract
Background Imaging-guided percutaneous biopsy of renal masses is regarded as safe and is widely used for histopathology diagnosis before treatment. Recommended observation time after tumour biopsy varies in international guidelines and the literature is sparse. Purpose To assess the effect of a 1-h post-biopsy observation time of percutaneous image-guided renal mass biopsy. Material and Methods This was a single-centre retrospective study. During January 2015 to September 2019, a total of 484 patients underwent renal mass biopsies. 4-h-observation-group: 178 patients and 1-h-observation-group 306 patients. All records were retrospectively reviewed, and data such as complications was obtained and compared between the two groups. Results A total complication rate of 4.5% ( n = 22) without any major complications (Cardiovascular and Interventional Radiological Society of Europe-grade (CIRSE) 5–6). Furthermore, a non-significant difference of 1.3% of the 1-h group and 3.4% in the 4-h group experiencing complications was found ( p = .18). A total biopsy-accuracy of 84% was observed. Conclusion This study shows that renal mass biopsy is safe with no major complications. This suggests that an outpatient approach with 1-h-observation time can be safely implemented for renal mass biopsy.
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Affiliation(s)
- John Valtersson
- Department of Radiology, Odense University Hospital (OUH), Odense C, Denmark
- Research and Innovation Unit of Radiology, University of Southern Denmark, Odense C, Denmark
| | - Benjamin S Rasmussen
- Department of Radiology, Odense University Hospital (OUH), Odense C, Denmark
- Research and Innovation Unit of Radiology, University of Southern Denmark, Odense C, Denmark
| | - Anders Elgborn
- Department of Radiology, Hospital of Southern Jutland, Aabenraa, Denmark
| | - Lars Lund
- Department of Urology, OUH, Odense C, Denmark
- Institute of Clinical Research, SDU, Odense C, Denmark
| | - Ole Graumann
- Department of Radiology, Odense University Hospital (OUH), Odense C, Denmark
- Research and Innovation Unit of Radiology, University of Southern Denmark, Odense C, Denmark
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Li A, Li S, Hu Y, Shen Y, Hu X, Hu D, Kamel IR, Li Z. Bosniak classification of cystic renal masses, version 2019: Is it helpful to incorporate the diffusion weighted imaging characteristic of lesions into the guideline? Front Oncol 2022; 12:1004690. [PMID: 36330478 PMCID: PMC9623058 DOI: 10.3389/fonc.2022.1004690] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/27/2022] [Accepted: 09/16/2022] [Indexed: 11/23/2022] Open
Abstract
Objective To improve understanding of diffusion weighted imaging (DWI) characteristic of MRI and clinical variables, further optimize the Bosniak classification for diagnosis of cystic renal masses (CRMs). Methods This study retrospectively analyzed 130 CRMs in 125 patients with CT or MRI, including 87 patients with DWI (b = 600, 1000 s/mm2). Clinical variables and histopathological results were recorded. Two radiologists in consensus analyzed images of each lesion for the size, thickness of wall, number of septum, enhancement of wall/septum, wall nodule, signal intensity on DWI, calcification, and cyst content. Clinical variables, CT and MRI image characteristics were compared with pathology or follow-up results to evaluate the diagnostic performance for CRMs. Results Of the 130 lesions in 125 patients, histological analysis reported that 36 were malignant, 38 were benign, and no change was found in 56 followed-up lesions (mean follow-up of 24 months). The incidences of cystic wall thickened, more septa, measurable enhancement of wall/septum, nodule(s) on CT/MRI, and high signal intensity on DWI were significantly higher in malignant than in benign CRMs (CT: p = 0.005, p < 0.001, p < 0.001, p < 0.001, p < 0.001; MRI: p < 0.001, p < 0.001, p < 0.001, p < 0.001, p < 0.001, p < 0.001). Combination of MRI including DWI features with CT findings showed the highest area under ROC curve (0.973) in distinguishing benign and malignant CRMs. Conclusions Incorporating DWI characteristic of CRMs into Bosniak classification helps to improve diagnostic efficiency.
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Affiliation(s)
- Anqin Li
- Department of Radiology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Shichao Li
- Department of Radiology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Yao Hu
- Department of Radiology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Yaqi Shen
- Department of Radiology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Xuemei Hu
- Department of Radiology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Daoyu Hu
- Department of Radiology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Ihab R. Kamel
- Russell H. Morgan Department of Radiology and Radiological Science, Johns Hopkins Medical Institutions, Baltimore, MD, United States
| | - Zhen Li
- Department of Radiology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
- *Correspondence: Zhen Li,
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Zhang Q, Dai X, Li W. Diagnostic performance of the Bosniak classification, version 2019 for cystic renal masses: A systematic review and meta-analysis. Front Oncol 2022; 12:931592. [PMID: 36330503 PMCID: PMC9623069 DOI: 10.3389/fonc.2022.931592] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/29/2022] [Accepted: 09/26/2022] [Indexed: 12/02/2022] Open
Abstract
Purpose To systematically assess the diagnostic performance of the Bosniak classification, version 2019 for risk stratification of cystic renal masses. Methods We conducted an electronic literature search on Web of Science, MEDLINE (Ovid and PubMed), Cochrane Library, EMBASE, and Google Scholar to identify relevant articles between June 1, 2019 and March 31, 2022 that used the Bosniak classification, version 2019 for risk stratification of cystic renal masses. Summary estimates of sensitivity, specificity, positive likelihood ratio (LR+), negative likelihood ratio (LR−), and diagnostic odds ratio (DOR) were pooled with the bivariate model and hierarchical summary receiver operating characteristic (HSROC) model. The quality of the included studies was assessed with the Quality Assessment of Diagnostic Accuracy Studies-2 tool. Results A total of eight studies comprising 720 patients were included. The pooled sensitivity and specificity were 0.85 (95% CI 0.79–0.90) and 0.68 (95% CI 0.58–0.76), respectively, for the class III/IV threshold, with a calculated area under the HSROC curve of 0.84 (95% CI 0.81–0.87). The pooled LR+, LR−, and DOR were 2.62 (95% CI 2.0–3.44), 0.22 (95% CI 0.16–0.32), and 11.7 (95% CI 6.8–20.0), respectively. The Higgins I2 statistics demonstrated substantial heterogeneity across studies, with an I2 of 57.8% for sensitivity and an I2 of 74.6% for specificity. In subgroup analyses, the pooled sensitivity and specificity for CT were 0.86 and 0.71, respectively, and those for MRI were 0.87 and 0.67, respectively. In five studies providing a head-to-head comparison between the two versions of the Bosniak classification, the 2019 version demonstrated significantly higher specificity (0.62 vs. 0.41, p < 0.001); however, it came at the cost of a significant decrease in sensitivity (0.88 vs. 0.94, p = 0.001). Conclusions The Bosniak classification, version 2019 demonstrated moderate sensitivity and specificity, and there was no difference in diagnostic accuracy between CT and MRI. Compared to version 2005, the Bosniak classification, version 2019 has the potential to significantly reduce overtreatment, but at the cost of a substantial decline in sensitivity.
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Lu L, Phua QS, Bacchi S, Goh R, Gupta AK, Kovoor JG, Ovenden CD, To MS. Small Study Effects in Diagnostic Imaging Accuracy: A Meta-Analysis. JAMA Netw Open 2022; 5:e2228776. [PMID: 36006641 PMCID: PMC9412222 DOI: 10.1001/jamanetworkopen.2022.28776] [Citation(s) in RCA: 8] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 02/01/2023] Open
Abstract
IMPORTANCE Small study effects are the phenomena that studies with smaller sample sizes tend to report larger and more favorable effect estimates than studies with larger sample sizes. OBJECTIVE To evaluate the presence and extent of small study effects in diagnostic imaging accuracy meta-analyses. DATA SOURCES A search was conducted in the PubMed database for diagnostic imaging accuracy meta-analyses published between 2010 and 2019. STUDY SELECTION Meta-analyses with 10 or more studies of medical imaging diagnostic accuracy, assessing a single imaging modality, and providing 2 × 2 contingency data were included. Studies that did not assess diagnostic accuracy of medical imaging techniques, compared 2 or more imaging modalities or different methods of 1 imaging modality, were cost analyses, used predictive or prognostic tests, did not provide individual patient data, or were network meta-analyses were excluded. DATA EXTRACTION AND SYNTHESIS Data extraction was performed in accordance with the PRISMA guidelines. MAIN OUTCOMES AND MEASURES The diagnostic odds ratio (DOR) was calculated for each primary study using 2 × 2 contingency data. Regression analysis was used to examine the association between effect size estimate and precision across meta-analyses. RESULTS A total of 31 meta-analyses involving 668 primary studies and 80 206 patients were included. Fixed effects analysis produced a regression coefficient for the natural log of DOR against the SE of the natural log of DOR of 2.19 (95% CI, 1.49-2.90; P < .001), with computed tomography as the reference modality. Interaction test for modality and SE of the natural log of DOR did not depend on modality (Wald statistic P = .50). Taken together, this analysis found an inverse association between effect size estimate and precision that was independent of imaging modality. Of 26 meta-analyses that formally assessed for publication bias using funnel plots and statistical tests for funnel plot asymmetry, 21 found no evidence for such bias. CONCLUSIONS AND RELEVANCE This meta-analysis found evidence of widespread prevalence of small study effects in the diagnostic imaging accuracy literature. One likely contributor to the observed effects is publication bias, which can undermine the results of many meta-analyses. Conventional methods for detecting funnel plot asymmetry conducted by included studies appeared to underestimate the presence of small study effects. Further studies are required to elucidate the various factors that contribute to small study effects.
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Affiliation(s)
- Lucy Lu
- College of Medicine and Public Health, Flinders University, Bedford Park, Australia
| | - Qi Sheng Phua
- College of Medicine and Public Health, Flinders University, Bedford Park, Australia
| | - Stephen Bacchi
- Department of Neurology, Royal Adelaide Hospital, Adelaide, Australia
- Faculty of Health and Medical Sciences, The University of Adelaide, Adelaide, Australia
| | - Rudy Goh
- Department of Neurology, Royal Adelaide Hospital, Adelaide, Australia
- Department of Neurology, Lyell McEwin Hospital, Elizabeth Vale, Australia
| | - Aashray K. Gupta
- Faculty of Health and Medical Sciences, The University of Adelaide, Adelaide, Australia
- Department of Cardiothoracic Surgery, Gold Coast University Hospital, Southport, Australia
| | - Joshua G. Kovoor
- Faculty of Health and Medical Sciences, The University of Adelaide, Adelaide, Australia
- Department of Surgery, The Queen Elizabeth Hospital, Woodville South, Australia
| | - Christopher D. Ovenden
- Faculty of Health and Medical Sciences, The University of Adelaide, Adelaide, Australia
- Department of Neurosurgery, Royal Adelaide Hospital, Adelaide, Australia
| | - Minh-Son To
- College of Medicine and Public Health, Flinders University, Bedford Park, Australia
- South Australia Medical Imaging, Flinders Medical Centre, Bedford Park, Australia
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Vagias M, Chanoit G, Bubenik-Angapen LJ, Gibson EA, de Rooster H, Singh A, Scharf VF, Grimes JA, Wallace ML, Kummeling A, Flanders JA, Evangelou G, Mullins RA. Perioperative characteristics, histologic diagnosis, complications, and outcomes of dogs undergoing percutaneous drainage, sclerotherapy or surgical management of intrarenal cystic lesions: 18 dogs (2004-2021). BMC Vet Res 2022; 18:233. [PMID: 35718776 PMCID: PMC9208150 DOI: 10.1186/s12917-022-03327-z] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/08/2022] [Accepted: 05/18/2022] [Indexed: 11/10/2022] Open
Abstract
BACKGROUND Canine intrarenal cystic lesions (ICLs) are infrequently reported in the veterinary literature. Several treatment options have been described including cyst fenestration (partial nephrectomy/deroofing) +/- omentalization, sclerotherapy using alcohol as a sclerosing agent, percutaneous cyst drainage (PCD), and ureteronephrectomy. Information regarding presenting clinical signs, physical examination findings, histologic diagnosis and outcomes of dogs with ICLs treated by different methods is limited. Medical records of 11 institutions were retrospectively reviewed to identify dogs that underwent PCD, sclerotherapy, surgical deroofing +/- omentalization, or ureteronephrectomy for management of ICLs from 2004 to 2021. Six weeks postoperative/post-procedural follow-up was required. Cases suspected to represent malignancy on preoperative imaging were excluded. The study objective was to provide information regarding perioperative characteristics, complications, and outcomes of dogs undergoing treatment of ICLs. RESULTS Eighteen dogs were included, with 24 ICLs treated. Ten had bilateral. There were 15 males and 3 females, with crossbreeds predominating. PCD, sclerotherapy, deroofing and ureteronephrectomy were performed in 5 (5 ICLs treated), 7 (11 ICLs), 6 (6), and 7 (7) dogs, respectively, with 5 dogs undergoing > 1 treatment. Seven dogs experienced 8 complications, with requirement for additional intervention commonest. PCD, sclerotherapy and deroofing resulted in ICL resolution in 0/5, 3/11 and 3/6 treated ICLs, respectively. Histopathology identified renal cysts (RCs) in 7/13 dogs with histopathology available and neoplasia in 6/13 (4 malignant, 2 benign). Of 5 dogs diagnosed histopathologically with neoplasia, cytology of cystic fluid failed to identify neoplastic cells. Among 7 dogs with histologically confirmed RCs, 4 had concurrent ICLs in ipsilateral/contralateral kidney, compared with 2/6 dogs with histologically confirmed neoplasia. CONCLUSIONS Benign and neoplastic ICLs were approximately equally common and cystic fluid cytology failed to differentiate the 2. Among renal-sparing treatments, deroofing most commonly resulted in ICL resolution. Presence of concurrent ICLs in ipsilateral/contralateral kidney does not appear reliable in differentiating benign from malignant ICLs.
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Affiliation(s)
- Michail Vagias
- Department of Small Animal Surgery, Section of Small Animal Clinical Studies, University College Dublin, Belfield, Dublin 4, Ireland
| | | | | | - Erin A Gibson
- Department of Surgical and Radiological Science, University of California-Davis School of Veterinary Medicine, Davis, CA, USA
| | - Hilde de Rooster
- Small Animal Department, Faculty of Veterinary Medicine, Ghent University, Merelbeke, Belgium
| | - Ameet Singh
- Department of Clinical Studies, Ontario Veterinary College, University of Guelph, Guelph, Ontario, Canada
| | - Valery F Scharf
- Department of Clinical Sciences, College of Veterinary Medicine, North Carolina State University, Raleigh, NC, 27607, USA
| | - Janet A Grimes
- Department of Small Animal Medicine and Surgery, College of Veterinary Medicine, University of Georgia, Athens, GA, 30602, USA
| | - Mandy L Wallace
- Department of Small Animal Medicine and Surgery, College of Veterinary Medicine, University of Georgia, Athens, GA, 30602, USA
| | - Anne Kummeling
- Department of Clinical Sciences, Faculty of Veterinary Medicine, Utrecht University, Utrecht, The Netherlands
| | - James A Flanders
- Department of Clinical Sciences, College of Veterinary Medicine, Cornell University, Ithaca, NY, 14850, USA
| | - Georgios Evangelou
- AnimalCare Veterinary Center, 30 D-E, Glyfadas, Strovolos, 2023, Nicosia, Cyprus
| | - Ronan A Mullins
- Department of Small Animal Surgery, Section of Small Animal Clinical Studies, University College Dublin, Belfield, Dublin 4, Ireland.
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Peard L, Gargollo P, Grant C, Strine A, De Loof M, Sinatti C, Spinoit AF, Hoebeke P, Cost NG, Rehfuss A, Alpert SA, Cranford W, Dugan AJ, Saltzman AF. Validation of the modified Bosniak classification system to risk stratify pediatric cystic renal masses: An international, multi-site study from the pediatric urologic oncology working group of the societies for pediatric urology. J Pediatr Urol 2022; 18:180.e1-180.e7. [PMID: 34961708 DOI: 10.1016/j.jpurol.2021.12.001] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/18/2021] [Revised: 10/29/2021] [Accepted: 12/07/2021] [Indexed: 11/26/2022]
Abstract
BACKGROUND Pediatric cystic renal lesions are challenging to manage as little is known about their natural course. A modified Bosniak (mBosniak) classification system has been proposed for risk stratification in pediatric patients that takes ultrasound (US) and/or computed tomogram (CT) characteristics into account. However, literature validating this system remains limited. OBJECTIVE To determine if the mBosniak classification system correlates with pathologic diagnoses. The hypothesis is that mBosniak classification can stratify the risk of malignancy in children with renal cysts. STUDY DESIGN Patients treated for cystic renal masses with available imaging and pathology between 2000 and 2019 from five institutions were identified. Clinical characteristics and pathology were obtained retrospectively. Characteristics from the most recent US, CT, and/or magnetic resonance imaging (MRI) were recorded. Reviewers assigned a mBosniak classification to each scan. mBosniak scores 1/2 were considered low-risk and 3/4 high-risk. These groups were compared with pathology (classified as benign, intermediate, malignant). Sensitivity, specificity, positive predictive value (PPV), negative predictive value (NPV), positive likelihood ratio (+LR), and negative likelihood ratio (-LR) were calculated to assess this categorization as a screening tool to guide surgical intervention. Agreement between imaging modalities was also explored. RESULTS 99 patients were identified. High-risk imaging findings were correlated with malignant or intermediate pathology with a sensitivity of 88.3%, specificity of 84.6%, PPV of 89.8%, NPV of 82.5%, +LR of 5.7, and -LR of 0.14. The sensitivity for detecting malignant lesions only was 100%. There was substantial agreement between US/CT (n = 55; κ = 0.66) and moderate agreement between US/MRI (n = 20; κ = 0.52) and CT/MRI (n = 13; κ = 0.47). DISCUSSION The mBos classification system is a useful tool in predicting the likelihood of benign vs. intermediate or malignant pathology. The relatively high sensitivity and specificity of the system for prediction of high-risk lesions makes this classification applicable to clinical decision making. In addition, all malignant lesions were accurately identified as mBosniak 4 on imaging. This study adds substantial data to the relatively small body of literature validating the mBosniak system for risk stratifying pediatric cystic renal lesions. CONCLUSIONS Pediatric cystic renal lesions assigned mBosniak class 1/2 are mostly benign, whereas class 3/4 lesions are likely intermediate or malignant pathology. We observed that the mBosniak system correctly identified pathology appropriate for surgical management in 88% of cases and did not miss malignant pathologies. There is substantial agreement between CT and US scans concerning mBos classification.
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Affiliation(s)
- Leslie Peard
- Department of Urology, University of Kentucky, 800 Rose St., Lexington, KY, 40536, USA
| | | | - Campbell Grant
- Division of Urology, Cincinnati Children's Hospital Medical Center, 3333 Burnet Ave., Cincinnati, OH, 45229, USA
| | - Andrew Strine
- Division of Urology, Cincinnati Children's Hospital Medical Center, 3333 Burnet Ave., Cincinnati, OH, 45229, USA
| | - Manon De Loof
- Department of Urology, Ghent University Hospital, Ghent University, Corneel Heymanslaan 10, Gent, 9000, Belgium
| | - Céline Sinatti
- Department of Urology, Ghent University Hospital, Ghent University, Corneel Heymanslaan 10, Gent, 9000, Belgium
| | - Anne-Françoise Spinoit
- Department of Urology, Ghent University Hospital, Ghent University, Corneel Heymanslaan 10, Gent, 9000, Belgium
| | - Piet Hoebeke
- Department of Urology, Ghent University Hospital, Ghent University, Corneel Heymanslaan 10, Gent, 9000, Belgium
| | - Nicholas G Cost
- Department of Surgery, Division of Urology, Surgical Oncology Program at Children's Hospital Colorado, University of Colorado School of Medicine, Children's Hospital of Colorado, 13123 E. 16th Ave., Aurora, CO, 80045, USA
| | - Alexandra Rehfuss
- Department of Urology, Nationwide Children's Hospital, 700 Children's Dr., Columbus, OH, 43205, USA
| | - Seth A Alpert
- Department of Urology, Nationwide Children's Hospital, 700 Children's Dr., Columbus, OH, 43205, USA
| | - Will Cranford
- Department of Biostatistics, College of Public Health, University of Kentucky, Lexington, KY, USA
| | - Adam J Dugan
- Department of Biostatistics, College of Public Health, University of Kentucky, Lexington, KY, USA
| | - Amanda F Saltzman
- Department of Urology, University of Kentucky, 800 Rose St., Lexington, KY, 40536, USA.
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Zeng SE, Du MY, Yu Y, Huang SY, Zhang D, Cui XW, Dietrich CF. Ultrasound, CT, and MR Imaging for Evaluation of Cystic Renal Masses. JOURNAL OF ULTRASOUND IN MEDICINE : OFFICIAL JOURNAL OF THE AMERICAN INSTITUTE OF ULTRASOUND IN MEDICINE 2022; 41:807-819. [PMID: 34101225 DOI: 10.1002/jum.15762] [Citation(s) in RCA: 6] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 04/08/2021] [Revised: 05/12/2021] [Accepted: 05/23/2021] [Indexed: 06/12/2023]
Abstract
Cystic renal masses are often encountered during abdominal imaging. Although most of them are benign simple cysts, some cystic masses have malignant characteristics. The Bosniak classification system provides a useful way to classify cystic masses. The Bosniak classification is based on the results of a well-established computed tomography protocol. Over the past 30 years, the classification system has been refined and improved. This paper reviews the literature on this topic and compares the advantages and disadvantages of different screening and classification methods. Patients will benefit from multimodal diagnosis for lesions that are difficult to classify after a single examination.
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Affiliation(s)
- Shu-E Zeng
- Department of Ultrasound Medicine, Hubei Cancer Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Ming-Yue Du
- Department of Ultrasound Medicine, Hubei Cancer Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Yang Yu
- Department of Medical Ultrasound, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Shu-Yan Huang
- Department of Ultrasound, The First People's Hospital of Huaihua, Huaihua, China
| | - Di Zhang
- Department of Medical Ultrasound, Affiliated Hospital of Nantong University, Nantong, China
| | - Xin-Wu Cui
- Department of Medical Ultrasound, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
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22
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[Modern tomography imaging techniques in urological diseases]. Urologe A 2022; 61:374-383. [PMID: 35262753 DOI: 10.1007/s00120-022-01792-w] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 02/08/2022] [Indexed: 10/18/2022]
Abstract
BACKGROUND Radiologic imaging is important for the detection, staging and follow-up of urological tumors. Basic therapy decisions for both oncological (surgical vs. systemic therapy, e.g. in testicular cancer) and non-oncological pathologies (interventional vs. conservative therapy, e.g. for ureteral stones) depend largely on the tomographic imaging performed. Due to its almost ubiquitous availability, speed and cost-effectiveness, computed tomography (CT) plays an important role not only in the clarification of abdominal trauma and non-traumatic emergencies, but also in staging and follow-up of oncological patients. However, the level of radiation exposure, impaired renal function and allergies to iodinated contrast media limit the use of CT. Magnetic resonance imaging (MRI) can be a good alternative for many areas of application in oncological and non-oncological imaging due to its high soft tissue differentiation and functional-specific protocols but without the use of ionizing radiation. AIM In the following, the main indications of abdominal and pelvic CT and MRI in urology and their limitations are summarized. RESULTS The areas of application between CT and MRI are increasingly overlapping, since the latest developments in CT continue to further reduce radiation exposure and increase contrast information, while the speed and robustness of MRI are significantly improving at the same time.
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A Comprehensive Commentary on the Multilocular Cystic Renal Neoplasm of Low Malignant Potential: A Urologist’s Perspective. Cancers (Basel) 2022; 14:cancers14030831. [PMID: 35159098 PMCID: PMC8834316 DOI: 10.3390/cancers14030831] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/30/2021] [Revised: 02/02/2022] [Accepted: 02/03/2022] [Indexed: 12/10/2022] Open
Abstract
Multilocular cystic renal neoplasm of low malignant potential (MCRNLMP) is a cystic renal tumor with indolent clinical behavior. In most of cases, it is an incidental finding during the examination of other health issues. The true incidence rate is estimated to be between 1.5% and 4% of all RCCs. These lesions are classified according to the Bosniak classification as Bosniak category III. There is a wide spectrum of diagnostic tools that can be utilized in the identification of this tumor, such as computed tomography (CT), magnetic resonance (MRI) or contrast-enhanced ultrasonography (CEUS). Management choices of these lesions range from conservative approaches, such as clinical follow-up, to surgery. Minimally invasive techniques (i.e., robotic surgery and laparoscopy) are preferred, with an emphasis on nephron sparing surgery, if clinically feasible.
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Dana J, Lefebvre TL, Savadjiev P, Bodard S, Gauvin S, Bhatnagar SR, Forghani R, Hélénon O, Reinhold C. Malignancy risk stratification of cystic renal lesions based on a contrast-enhanced CT-based machine learning model and a clinical decision algorithm. Eur Radiol 2022; 32:4116-4127. [DOI: 10.1007/s00330-021-08449-w] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/03/2021] [Revised: 10/17/2021] [Accepted: 10/29/2021] [Indexed: 01/06/2023]
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Cullivan O, Wong R, Albu C, D'Arcy F, O'Malley E, McCarthy P, Dowling CM. Assessment of the workload and financial burden of Bosniak IIF renal cyst surveillance in a tertiary referral hospital. Ir J Med Sci 2022; 191:2771-2775. [PMID: 35037159 PMCID: PMC8761533 DOI: 10.1007/s11845-022-02919-w] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/17/2021] [Accepted: 01/01/2022] [Indexed: 11/12/2022]
Abstract
Background The Bosniak classification is a CT classification which stratifies renal cysts based on imaging appearances and therefore associated risk of malignancy. Bosniak IIf cysts are renal which have complex features and therefore require surveillance. Aims The aim of this study is to assess the economic and workload burden of diagnosing and following up Bosniak IIf cysts on the urology service in a tertiary hospital in the West of Ireland. Methods All patients with a diagnosis of Bosniak IIf renal cysts attending our urology service between 1st of January 2012 and 31st December 2020 were analysed. The following data were collected: number and modality of follow up scans, number of MDT discussions, number and type of outpatient appointments, surgical intervention, and length of follow up. Financial data were provided by the hospital finance department. Results One hundred and sixty-two patients were included. Total cost of follow up was €164,056, costing €1,012.7 per patient. Cost of outpatient visits was €77,850. Follow-up length ranged from 1 to 109 months, median follow up time 17.5 months. Overall cost of imaging was €74,518. There were a total of 80 MDT discussions at an overall cost of €11,688. Conclusions This study demonstrates that surveillance of patients with Bosniak IIf renal cysts represents a significant burden upon both radiology and urology services. Surveillance for these patients could be streamlined in the future through a number of initiatives such as virtual OPDs and dedicated MDTs.
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Affiliation(s)
- Orla Cullivan
- Department of Urology, Galway University Hospital, Galway, Ireland.
| | - Ruby Wong
- Department of Urology, Galway University Hospital, Galway, Ireland
| | - Cristian Albu
- Department of Urology, Galway University Hospital, Galway, Ireland
| | - Frank D'Arcy
- Department of Urology, Galway University Hospital, Galway, Ireland
| | - Eoin O'Malley
- Department of Radiology, Galway University Hospital, Galway, Ireland
| | - Peter McCarthy
- Department of Radiology, Galway University Hospital, Galway, Ireland
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Schieda N, Krishna S, Pedrosa I, Kaffenberger SD, Davenport MS, Silverman SG. Active Surveillance of Renal Masses: The Role of Radiology. Radiology 2021; 302:11-24. [PMID: 34812670 DOI: 10.1148/radiol.2021204227] [Citation(s) in RCA: 17] [Impact Index Per Article: 5.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/06/2023]
Abstract
Active surveillance of renal masses, which includes serial imaging with the possibility of delayed treatment, has emerged as a viable alternative to immediate therapeutic intervention in selected patients. Active surveillance is supported by evidence that many benign masses are resected unnecessarily, and treatment of small cancers has not substantially reduced cancer-specific mortality. These data are a call to radiologists to improve the diagnosis of benign renal masses and differentiate cancers that are biologically aggressive (prompting treatment) from those that are indolent (allowing treatment deferral). Current evidence suggests that active surveillance results in comparable cancer-specific survival with a low risk of developing metastasis. Radiology is central in this. Imaging is used at the outset to estimate the probability of malignancy and degree of aggressiveness in malignant masses and to follow up masses for growth and morphologic change. Percutaneous biopsy is used to provide a more definitive histologic diagnosis and to guide treatment decisions, including whether active surveillance is appropriate. Emerging applications that may improve imaging assessment of renal masses include standardized assessment of cystic and solid masses and radiomic analysis. This article reviews the current and future role of radiology in the care of patients with renal masses undergoing active surveillance.
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Affiliation(s)
- Nicola Schieda
- From the Department of Medical Imaging, The Ottawa Hospital, University of Ottawa, 1053 Carling Ave, Ottawa, ON, Canada K1H 1H6 (N.S.); Joint Department of Medical Imaging, University Health Network, Mount Sinai Hospital and Women's College Hospital, University of Toronto, Toronto, Canada (S.K.); Department of Radiology, University of Texas Southwestern Medical Center, Dallas, Tex (I.P.); Departments of Urology (S.D.K., M.S.D.) and Radiology (M.S.D.), Michigan Medicine, University of Michigan, Ann Arbor, Mich; and Department of Radiology, Brigham and Women's Hospital, Harvard Medical School, Boston, Mass (S.G.S.)
| | - Satheesh Krishna
- From the Department of Medical Imaging, The Ottawa Hospital, University of Ottawa, 1053 Carling Ave, Ottawa, ON, Canada K1H 1H6 (N.S.); Joint Department of Medical Imaging, University Health Network, Mount Sinai Hospital and Women's College Hospital, University of Toronto, Toronto, Canada (S.K.); Department of Radiology, University of Texas Southwestern Medical Center, Dallas, Tex (I.P.); Departments of Urology (S.D.K., M.S.D.) and Radiology (M.S.D.), Michigan Medicine, University of Michigan, Ann Arbor, Mich; and Department of Radiology, Brigham and Women's Hospital, Harvard Medical School, Boston, Mass (S.G.S.)
| | - Ivan Pedrosa
- From the Department of Medical Imaging, The Ottawa Hospital, University of Ottawa, 1053 Carling Ave, Ottawa, ON, Canada K1H 1H6 (N.S.); Joint Department of Medical Imaging, University Health Network, Mount Sinai Hospital and Women's College Hospital, University of Toronto, Toronto, Canada (S.K.); Department of Radiology, University of Texas Southwestern Medical Center, Dallas, Tex (I.P.); Departments of Urology (S.D.K., M.S.D.) and Radiology (M.S.D.), Michigan Medicine, University of Michigan, Ann Arbor, Mich; and Department of Radiology, Brigham and Women's Hospital, Harvard Medical School, Boston, Mass (S.G.S.)
| | - Samuel D Kaffenberger
- From the Department of Medical Imaging, The Ottawa Hospital, University of Ottawa, 1053 Carling Ave, Ottawa, ON, Canada K1H 1H6 (N.S.); Joint Department of Medical Imaging, University Health Network, Mount Sinai Hospital and Women's College Hospital, University of Toronto, Toronto, Canada (S.K.); Department of Radiology, University of Texas Southwestern Medical Center, Dallas, Tex (I.P.); Departments of Urology (S.D.K., M.S.D.) and Radiology (M.S.D.), Michigan Medicine, University of Michigan, Ann Arbor, Mich; and Department of Radiology, Brigham and Women's Hospital, Harvard Medical School, Boston, Mass (S.G.S.)
| | - Matthew S Davenport
- From the Department of Medical Imaging, The Ottawa Hospital, University of Ottawa, 1053 Carling Ave, Ottawa, ON, Canada K1H 1H6 (N.S.); Joint Department of Medical Imaging, University Health Network, Mount Sinai Hospital and Women's College Hospital, University of Toronto, Toronto, Canada (S.K.); Department of Radiology, University of Texas Southwestern Medical Center, Dallas, Tex (I.P.); Departments of Urology (S.D.K., M.S.D.) and Radiology (M.S.D.), Michigan Medicine, University of Michigan, Ann Arbor, Mich; and Department of Radiology, Brigham and Women's Hospital, Harvard Medical School, Boston, Mass (S.G.S.)
| | - Stuart G Silverman
- From the Department of Medical Imaging, The Ottawa Hospital, University of Ottawa, 1053 Carling Ave, Ottawa, ON, Canada K1H 1H6 (N.S.); Joint Department of Medical Imaging, University Health Network, Mount Sinai Hospital and Women's College Hospital, University of Toronto, Toronto, Canada (S.K.); Department of Radiology, University of Texas Southwestern Medical Center, Dallas, Tex (I.P.); Departments of Urology (S.D.K., M.S.D.) and Radiology (M.S.D.), Michigan Medicine, University of Michigan, Ann Arbor, Mich; and Department of Radiology, Brigham and Women's Hospital, Harvard Medical School, Boston, Mass (S.G.S.)
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Como G, Valotto C, Tulipano Di Franco F, Giannarini G, Cereser L, Girometti R, Zuiani C. Role of contrast-enhanced ultrasound in assessing indeterminate renal lesions and Bosniak ≥2F complex renal cysts found incidentally on CT or MRI. Br J Radiol 2021; 94:20210707. [PMID: 34432542 PMCID: PMC8553198 DOI: 10.1259/bjr.20210707] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/08/2021] [Revised: 07/15/2021] [Accepted: 07/21/2021] [Indexed: 11/25/2022] Open
Abstract
OBJECTIVE To investigate the impact of contrast-enhanced ultrasound (CEUS) in reclassifying incidental renal findings categorized as indeterminate lesions (IL) or Bosniak ≥ 2F complex renal cysts (CRC) on CT or MRI. METHODS We retrospectively included 44 subjects who underwent CEUS between 2016 and 2019 to assess 48 IL (n = 12) and CRC (n = 36) incidentally found on CT or MRI. CEUS was performed by one radiologist with 10 year of experience with a sulfur hexafluoride-filled microbubble contrast agent. The same radiologist, blinded to clinical information and previous CT/MRIs, retrospectively reviewed CEUS images/videos, categorizing renal findings with Bosniak-derived imaging categories ranging from 0 (indeterminate) to 5 (solid lesion). CEUS-related reclassification rate was calculated (proportion of IL reclassified with an imaging category >0, or CRC reclassified below or above imaging category >2F). Using histological examination or a ≥ 24 months follow-up as the standard of reference, we also estimated per-lesion sensitivity/specificity for malignancy. RESULTS CEUS reclassified 24/48 findings (50.0%; 95% C.I. 35.2-64.7), including 12/12 IL (100%; 95% CI 73.5-100) and 12/36 CRC (33.3%; 95% C.I. 18.5-50.9), mostly above category >2F (66.7%). CEUS and CT/MRI showed 96.0% (95%CI 79.7-99.9) vs 44.0% (95%CI 24.4-65.1) sensitivity, and 82.6% (95%CI 61.2-95.1) vs 60.9% (95%CI 38.5-80.3%) specificity. CONCLUSION CEUS provided substantial and accurate reclassification of CT/MRI incidental findings. ADVANCES IN KNOWLEDGE Previous studies included Bosniak 2 incidental findings, thus possibly underestimating CEUS-induced reclassification rates. Using a more meaningful cut-off (Bosniak ≥2F), problem-solving CEUS was effective as well, with higher reclassification rates for CRC than in literature.
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Affiliation(s)
- Giuseppe Como
- Institute of Radiology, Department of Medicine, University of udine, University Hospital S. Maria della Misericordia, Udine, Italy
| | - Claudio Valotto
- Urology Unit, University Hospital S. Maria della Misericordia, Udine, Italy
| | - Francesco Tulipano Di Franco
- Institute of Radiology, Department of Medicine, University of udine, University Hospital S. Maria della Misericordia, Udine, Italy
| | | | - Lorenzo Cereser
- Institute of Radiology, Department of Medicine, University of udine, University Hospital S. Maria della Misericordia, Udine, Italy
| | - Rossano Girometti
- Institute of Radiology, Department of Medicine, University of udine, University Hospital S. Maria della Misericordia, Udine, Italy
| | - Chiara Zuiani
- Institute of Radiology, Department of Medicine, University of udine, University Hospital S. Maria della Misericordia, Udine, Italy
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Evaluation of class II cystic renal masses proposed in Bosniak classification version 2019: a systematic review of supporting evidence. Abdom Radiol (NY) 2021; 46:4888-4897. [PMID: 34152438 DOI: 10.1007/s00261-021-03180-y] [Citation(s) in RCA: 7] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/23/2021] [Revised: 06/11/2021] [Accepted: 06/13/2021] [Indexed: 12/22/2022]
Abstract
PURPOSE The Bosniak classification of cystic renal masses version 2019 (v.2019) includes an expanded number of types of masses in class II; such masses are considered benign in clinical practice. Data supporting these additions have not been well-documented. We aim to determine the proportion of malignant or probably malignant renal masses among the types added to Bosniak v.2019 class II. METHODS Multiple databases were searched for studies evaluating the proportion of malignant or probably malignant renal masses among new Bosniak v.2019 class II types, four for CT and two for MRI. Risk of bias and applicability was assessed using the QUADAS-2 tool. RESULTS Ten studies (2068 renal masses) met inclusion criteria. Among the four added class II types at CT, the proportion of malignancy among (1) 'homogeneous hyperattenuating (≥ 70 HU) masses at unenhanced CT' was 0% (0/32) in three studies; (2) 'homogeneous masses - 9 to 20 HU at unenhanced CT' was 0% (0/1454) in two studies, and (3) 'homogeneous masses 21 to 30 HU at portal-venous phase CT' was 0% (0/454) in four studies. Masses that are homogeneous, have low attenuation, and are too small to characterize on CT had no supportive evidence. Among the two added class II types at MRI, the proportion of malignancy among (1) 'homogeneous masses markedly hyperintense at unenhanced T2-weighted MR imaging (similar to CSF) was 0% (0/72) in one study, and (2) 'homogeneous masses markedly hyperintense at T1-weighted MR imaging (~ 2.5 × renal parenchyma signal intensity)' was 0% (0/32) and 5% (2/37) in two studies. Nine studies were at risk of bias within at least one QUADAS-2 domain. CONCLUSION The addition of six types of cystic renal masses to Class II in the Bosniak v.2019 proposal may be justified but based on limited evidence, with no evidence for 'homogeneous low attenuation masses that are too small to characterize' on CT, and thus considering them benign is in part based on expert opinion. Protocol Registration: PROSERO CRD42020196408.
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Rahmanuddin S, Korn R, Cridebring D, Borazanci E, Brase J, Boswell W, Jamil A, Cai W, Sabir A, Motarjem P, Koay E, Mitra A, Goel A, Ho J, Chung V, Von Hoff DD. Role of 3D Volumetric and Perfusion Imaging for Detecting Early Changes in Pancreatic Adenocarcinoma. Front Oncol 2021; 11:678617. [PMID: 34568010 PMCID: PMC8456995 DOI: 10.3389/fonc.2021.678617] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/10/2021] [Accepted: 08/13/2021] [Indexed: 12/30/2022] Open
Abstract
Purpose There is a major shortage of reliable early detection methods for pancreatic cancer in high-risk groups. The focus of this preliminary study was to use Time Intensity-Density Curve (TIDC) and Marley Equation analyses, in conjunction with 3D volumetric and perfusion imaging to demonstrate their potential as imaging biomarkers to assist in the early detection of Pancreatic Ductal Adenocarcinoma (PDAC). Experimental Designs A quantitative retrospective and prospective study was done by analyzing multi-phase Computed Tomography (CT) images of 28 patients undergoing treatment at different stages of pancreatic adenocarcinoma using advanced 3D imaging software to identify the perfusion and radio density of tumors. Results TIDC and the Marley Equation proved useful in quantifying tumor aggressiveness. Perfusion delays in the venous phase can be linked to Vascular Endothelial Growth Factor (VEGF)-related activity which represents the active part of the tumor. 3D volume analysis of the multiphase CT scan of the patient showed clear changes in arterial and venous perfusion indicating the aggressive state of the tumor. Conclusion TIDC and 3D volumetric analysis can play a significant role in defining the response of the tumor to treatment and identifying early-stage aggressiveness.
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Affiliation(s)
- Syed Rahmanuddin
- National Medical Center & Beckman Research Institute, City of Hope Comprehensive Cancer Center, Duarte, CA, United States
| | - Ronald Korn
- Virginia G Piper Cancer Center, Honor Health, Scottsdale, AZ, United States
| | - Derek Cridebring
- Molecular Medicine Division, Translational Genomics Research Institute (TGEN), Phoenix, AZ, United States
| | - Erkut Borazanci
- Virginia G Piper Cancer Center, Honor Health, Scottsdale, AZ, United States
| | - Jordyn Brase
- National Medical Center & Beckman Research Institute, City of Hope Comprehensive Cancer Center, Duarte, CA, United States
| | - William Boswell
- National Medical Center & Beckman Research Institute, City of Hope Comprehensive Cancer Center, Duarte, CA, United States
| | - Asma Jamil
- National Medical Center & Beckman Research Institute, City of Hope Comprehensive Cancer Center, Duarte, CA, United States
| | - Wenli Cai
- Department of Radiology, Massachusetts General Hospital, Boston, MA, United States
| | - Aqsa Sabir
- National Medical Center & Beckman Research Institute, City of Hope Comprehensive Cancer Center, Duarte, CA, United States
| | - Pejman Motarjem
- National Medical Center & Beckman Research Institute, City of Hope Comprehensive Cancer Center, Duarte, CA, United States
| | - Eugene Koay
- Department of Radiation Oncology, University of Texas MD Anderson Cancer Center, Houston, TX, United States
| | - Anirban Mitra
- Department of Pathology, University of Texas MD Anderson Cancer Center, Houston, TX, United States
| | - Ajay Goel
- Molecular Diagnostic and Experimental Therapeutics, City of Hope Comprehensive Cancer Center, Monrovia, CA, United States
| | - Joyce Ho
- Molecular Diagnostic and Experimental Therapeutics, City of Hope Comprehensive Cancer Center, Monrovia, CA, United States
| | - Vincent Chung
- Molecular Diagnostic and Experimental Therapeutics, City of Hope Comprehensive Cancer Center, Monrovia, CA, United States
| | - Daniel D Von Hoff
- National Medical Center & Beckman Research Institute, City of Hope Comprehensive Cancer Center, Duarte, CA, United States.,Virginia G Piper Cancer Center, Honor Health, Scottsdale, AZ, United States.,Molecular Medicine Division, Translational Genomics Research Institute (TGEN), Phoenix, AZ, United States
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Gassert F, Schnitzer M, Kim SH, Kunz WG, Ernst BP, Clevert DA, Nörenberg D, Rübenthaler J, Froelich MF. Comparison of Magnetic Resonance Imaging and Contrast-Enhanced Ultrasound as Diagnostic Options for Unclear Cystic Renal Lesions: A Cost-Effectiveness Analysis. ULTRASCHALL IN DER MEDIZIN (STUTTGART, GERMANY : 1980) 2021; 42:411-417. [PMID: 32052386 DOI: 10.1055/a-1110-7172] [Citation(s) in RCA: 16] [Impact Index Per Article: 5.3] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/10/2023]
Abstract
PURPOSE Correct differentiation between malignant and benign incidentally found cystic renal lesions has critical implications for patient management. In several studies contrast-enhanced ultrasound (CEUS) showed higher sensitivity with respect to the accurate characterization of these lesions compared to MRI, but the cost-effectiveness of CEUS has yet to be investigated. The aim of this study was to analyze the cost-effectiveness of CEUS as an alternative imaging method to MRI for the characterization of incidentally found cystic renal lesions. MATERIALS AND METHODS A decision model including the diagnostic modalities MRI and CEUS was created based on Markov simulations estimating lifetime costs and quality-adjusted life years (QALYs). The recent literature was reviewed to obtain model input parameters. The deterministic sensitivity of diagnostic parameters and costs was determined and probabilistic sensitivity analysis using Monte-Carlo Modelling was applied. Willingness-to-pay (WTP) was assumed to be $ 100 000/QALY. RESULTS In the base-case scenario, the total costs for CEUS were $9654.43, whereas the total costs for MRI were $9675.03. CEUS resulted in an expected effectiveness of 8.06 QALYs versus 8.06 QALYs for MRI. Therefore, from an economic point of view, CEUS was identified as an adequate diagnostic alternative to MRI. Sensitivity analysis showed that results may vary if CEUS costs increase or those of MRI decrease. CONCLUSION Based on the results of the analysis, the use of CEUS was identified as a cost-effective diagnostic strategy for the characterization of incidentally found cystic renal lesions.
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Affiliation(s)
- Felix Gassert
- Department of Diagnostic and Interventional Radiology, Klinikum rechts der Isar, Technical University of Munich, Germany
| | - Moritz Schnitzer
- Department of Clinical Radiology, Ludwig-Maximilians-University of Munich-Großhadern Campus, Munich, Germany
| | - Su Hwan Kim
- Department of Radiology, Interdisciplinary ultrasound center, University Hospital LMU Munich, Germany
| | - Wolfgang G Kunz
- Department of Radiology, Interdisciplinary ultrasound center, University Hospital LMU Munich, Germany
| | | | - Dirk-André Clevert
- Department of Clinical Radiology, University of Munich-Großhadern Campus, Munich, Germany
| | - Dominik Nörenberg
- Institute of Clinical Radiology and Nuclear Medicine, University Medical Centre Mannheim, Germany
| | - Johannes Rübenthaler
- Department of Clinical Radiology, Ludwig-Maximilians-University of Munich-Großhadern Campus, Munich, Germany
| | - Matthias Frank Froelich
- Institute of Clinical Radiology and Nuclear Medicine, University Medical Centre Mannheim, Germany
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Audenet F, Sapetti J, Delavaud C, Verkarre V, Correas JM, Mejean A, Timsit MO. Using Contrast-Enhanced Ultrasound in Addition to Cross-Sectional Imaging for Indeterminate Renal Cysts May Lead to Overclassification in Bosniak III Category: A Case-Control Study. Eur Surg Res 2021; 63:19-24. [PMID: 34289472 DOI: 10.1159/000517405] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/15/2021] [Accepted: 05/20/2021] [Indexed: 11/19/2022]
Abstract
INTRODUCTION Indeterminate renal cysts may require several imaging modalities before clinical decision. The aim of this study was to investigate the effect of the imaging modality used to characterize indeterminate renal cysts on the pathological findings after surgical resection. METHODS From our institutional database, we identified all patients surgically treated for Bosniak III renal masses between January 2008 and January 2018. All complex renal cysts were characterized with a combination of computed tomography (CT) and/or magnetic resonance imaging (MRI), and/or contrast-enhanced ultrasound (CEUS) and discussed during a multidisciplinary tumor board. Potential association between clinical/radiological characteristics and the pathological findings were investigated, using univariate and multivariate analyses. RESULTS Of the 52 renal cystic lesions surgically removed, with a preoperative diagnosis of Bosniak III renal cyst, 19 (37%) were malignant and 33 (63%) were benign. The proportion of malignant lesions decreased from 47% when the renal cyst was characterized with cross-sectional imaging (CT and/or MRI) to 17% when the diagnosis required CEUS in addition to cross-sectional imaging. In multivariate analysis, prior history of renal cell carcinoma was associated with a higher risk of malignancy (p = 0.016) and diagnosis made with CEUS was associated with a lower risk of malignancy (p = 0.040). CONCLUSION We found that using CEUS in addition to cross-sectional imaging to characterize indeterminate renal cysts tends to redefine Bosniak III as lesions with a lower risk of malignancy and can lead to overclassification.
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Affiliation(s)
- François Audenet
- Department of Urology, Hôpital Européen Georges Pompidou, AP-HP Centre, Université de Paris, Paris, France
| | - Jordan Sapetti
- Department of Urology, Hôpital Cochin, AP-HP Centre, Université de Paris, Paris, France
| | - Christophe Delavaud
- Department of Adult Radiology, Hôpital Necker, AP-HP Centre, Université de Paris, Paris, France
| | - Virginie Verkarre
- Department of Pathology, Hôpital Européen Georges Pompidou, AP-HP Centre, Université de Paris, Paris, France
| | - Jean-Michel Correas
- Department of Adult Radiology, Hôpital Necker, AP-HP Centre, Université de Paris, Paris, France
| | - Arnaud Mejean
- Department of Urology, Hôpital Européen Georges Pompidou, AP-HP Centre, Université de Paris, Paris, France
| | - Marc-Olivier Timsit
- Department of Urology, Hôpital Européen Georges Pompidou, AP-HP Centre, Université de Paris, Paris, France
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Value of Quantitative CTTA in Differentiating Malignant From Benign Bosniak III Renal Lesions on CT Images. J Comput Assist Tomogr 2021; 45:528-536. [PMID: 34176873 DOI: 10.1097/rct.0000000000001181] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/20/2023]
Abstract
OBJECTIVE The aim of this study was to investigate whether computed tomography texture analysis can differentiate malignant from benign Bosniak III renal lesions on computed tomography (CT) images. METHODS This retrospective case-control study included 45 patients/lesions (22 benign and 23 malignant lesions) with Bosniak III renal lesions who underwent CT examination. Axial image slices in the unenhanced phase, corticomedullary phase, and nephrographic phase were selected and delineated manually. Computed tomography texture analysis was performed on each lesion during these 3 phases. Histogram-based, gray-level co-occurrence matrix, and gray-level run-length matrix features were extracted using open-source software and analyzed. In addition, receiver operating characteristic curve was constructed, and the area under the receiver operating characteristic curve (AUC) of each feature was constructed. RESULTS Of the 33 extracted features, 16 features showed significant differences (P < 0.05). Eight features were significantly different between the 2 groups after Holm-Bonferroni correction, including 3 histogram-based, 4 gray-level co-occurrence matrix, and 1 gray-level run-length matrix features (P < 0.01). The texture features resulted in the highest AUC of 0.769 ± 0.074. Renal cell carcinomas were labeled with a higher degree of lesion gray-level disorder and lower lesion homogeneity, and a model incorporating the 3 most discriminative features resulted in an AUC of 0.846 ± 0.058. CONCLUSIONS The results of this study showed that CT texture features were related to malignancy in Bosniak III renal lesions. Computed tomography texture analysis might help in differentiating malignant from benign Bosniak III renal lesions on CT images.
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Granata A, Campo I, Lentini P, Pesce F, Gesualdo L, Basile A, Cantisani V, Zeiler M, Bertolotto M. Role of Contrast-Enhanced Ultrasound (CEUS) in Native Kidney Pathology: Limits and Fields of Action. Diagnostics (Basel) 2021; 11:1058. [PMID: 34201349 PMCID: PMC8226824 DOI: 10.3390/diagnostics11061058] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/06/2021] [Revised: 05/25/2021] [Accepted: 06/02/2021] [Indexed: 12/12/2022] Open
Abstract
Gray scale ultrasound has an important diagnostic role in native kidney disease. Low cost, absence of ionizing radiation and nephrotoxicity, short performance time, and repeatability even at the bedside, are the major advantages of this technique. The introduction of contrast enhancement ultrasound (CEUS) in daily clinical practice has significantly reduced the use of contrast enhancement computed tomography (CECT) and contrast enhancement magnetic resonance (CEMR), especially in patients with renal disease. Although there are many situations in which CECT and CEMRI are primarily indicated, their use may be limited by the administration of the contrast medium, which may involve a risk of renal function impairment, especially in the elderly, and in patients with acute kidney injury (AKI) and moderate to severe chronic kidney disease (CKD). In these cases, CEUS can be a valid diagnostic choice. To date, numerous publications have highlighted the role of CEUS in the study of parenchymal micro-vascularization and renal pathology by full integration with second level imaging methods (CECT and CEMRI) both in patients with normal renal function and with diseased kidneys. The aim of this review is to offer an updated overview of the limitations and potential applications of CEUS in native kidney disease.
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Affiliation(s)
- Antonio Granata
- Nephrology and Dialysis Unit, “Cannizzaro” Hospital, 95026 Catania, Italy;
| | - Irene Campo
- Department of Radiology, “Civile di Conegliano” Hospital, ULSS 2 Marca Trevigiana, 31015 Conegliano, Italy
| | - Paolo Lentini
- Nephrology and Dialysis Unit, San Bassiano Hospital, 36061 Bassano del Grappa, Italy;
| | - Francesco Pesce
- Nephrology, Dialysis and Transplantation Unit, Department of Emergency and Organ Transplantation, University of Bari, 70124 Bari, Italy; (F.P.); (L.G.)
| | - Loreto Gesualdo
- Nephrology, Dialysis and Transplantation Unit, Department of Emergency and Organ Transplantation, University of Bari, 70124 Bari, Italy; (F.P.); (L.G.)
| | - Antonio Basile
- Radiology Unit I, Department of Medical Surgical Sciences and Advanced Technologies “GF Ingrassia”-University Hospital “Policlinico-San Marco”, University of Catania, 95123 Catania, Italy;
| | - Vito Cantisani
- Department of Radiology, Policlinico Umberto I Hospital, “Sapienza” University of Rome, 00161 Rome, Italy;
| | - Matthias Zeiler
- Nephrology and Dialysis Unit, “Carlo Urbani” Hospital, 60035 Jesi, Italy;
| | - Michele Bertolotto
- Department of Radiology, “Cattinara” Hospital, University of Trieste, 34149 Trieste, Italy;
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Bosniak Classification of Cystic Renal Masses Version 2019: Comparison to Version 2005 for Class Distribution, Diagnostic Performance, and Interreader Agreement Using CT and MRI. AJR Am J Roentgenol 2021; 217:1367-1376. [PMID: 34076460 DOI: 10.2214/ajr.21.25796] [Citation(s) in RCA: 17] [Impact Index Per Article: 5.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/18/2022]
Abstract
Background: The Bosniak classification system for cystic renal masses (CRMs) was updated in 2019, requiring further investigation. Objective: To compare version 2005 and version 2019 of the Bosniak classification system in terms of class distribution, diagnostic performance, inter-reader agreement, and inter-modality agreement between CT and MRI. Methods: This retrospective study included 100 patients (mean age, 52.4±11.6 years; 68 men, 32 women) with 104 CRMs (74 malignant) who underwent CT, MRI, and resection between 2010 and 2019. Two radiologists independently evaluated CRMs in separate sessions for each combination of version and modality and assigned a Bosniak class. Diagnostic performance was compared using McNemar tests. Inter-reader and inter-modality agreement were analyzed using weighted kappa coefficients. Results: Across readers and modalities, proportion of class IIF was higher for version 2019 than version 2005 (reader 1: 28.8%-30.8% vs 6.7%-12.5%; reader 2: 26.0%-28.8% vs 8.7%-19.2%), although 95% CIs overlapped for reader 2 on CT. Proportion of class III was lower for version 2019 than version 2005 (reader 1: 33.7%-35.6% vs 49%-51.9%; reader 2: 31.7%-40.4% vs 37.5%-52.9%), although 95% CIs overlapped for all comparisons. Version 2019 demonstrated lower sensitivity for malignancy than version 2005 across readers and modalities (all p<.05); for example, using CT, sensitivity was 75.7% for both readers with version 2019, versus 85.1%-87.8% with version 2005. However, version 2019 demonstrated higher specificity than version 2005, which was significant (all p<.05) for reader 1 For example, using CT, specificity was 73.3% (reader 1) and 70.0% (reader 2) with version 2019, versus 50.0% (reader 1) and 56.7% (reader 2) with version 2005. Diagnostic accuracy was not different between versions (version 2005: 76.9%-85.6%; version 2019: 74.0%-78.8%). Inter-reader and inter- modality agreement were substantial for version 2005 (κ=0.676-0.782; 0.711-0.723) and version 2019 (κ=0.756-0.804; 0.704-0.781). Conclusion: Version 2019, versus version 2005, results in shift in CRM assignment from class III to class IIF. Version 2019 results in lower sensitivity, higher specificity, and similar accuracy versus version 2005. Inter-reader and inter-modality agreement are similar between versions. Clinical impact: Version 2019 facilitates recommending imaging surveillance for more CRMs.
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Schieda N, Davenport MS, Krishna S, Edney EA, Pedrosa I, Hindman N, Baroni RH, Curci NE, Shinagare A, Silverman SG. Bosniak Classification of Cystic Renal Masses, Version 2019: A Pictorial Guide to Clinical Use. Radiographics 2021; 41:814-828. [PMID: 33861647 DOI: 10.1148/rg.2021200160] [Citation(s) in RCA: 13] [Impact Index Per Article: 4.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/10/2023]
Abstract
Cystic renal masses are commonly encountered in clinical practice. In 2019, the Bosniak classification of cystic renal masses, originally developed for CT, underwent a major revision to incorporate MRI and is referred to as the Bosniak Classification, version 2019. The proposed changes attempt to (a) define renal masses (ie, cystic tumors with less than 25% enhancing tissue) to which the classification should be applied; (b) emphasize specificity for diagnosis of cystic renal cancers, thereby decreasing the number of benign and indolent cystic masses that are unnecessarily treated or imaged further; (c) improve interobserver agreement by defining imaging features, terms, and classes of cystic renal masses; (d) reduce variation in reported malignancy rates for each of the Bosniak classes; (e) incorporate MRI and to some extent US; and (f) be applicable to all cystic renal masses encountered in clinical practice, including those that had been considered indeterminate with the original classification. The authors instruct how, using CT, MRI, and to some extent US, the revised classification can be applied, with representative clinical examples and images. Practical tips, pitfalls to avoid, and decision tree rules are included to help radiologists and other physicians apply the Bosniak Classification, version 2019 and better manage cystic renal masses. An online resource and mobile application are also available for clinical assistance. An invited commentary by Siegel and Cohan is available online. ©RSNA, 2021.
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Affiliation(s)
- Nicola Schieda
- From the Department of Medical Imaging, The Ottawa Hospital, University of Ottawa, 1053 Carling Ave, Ottawa, ON, Canada K1H 1H6 (N.S.); Departments of Radiology (M.S.D., N.E.C.) and Urology (M.S.D.), Michigan Medicine, University of Michigan, Ann Arbor, Mich; Joint Department of Medical Imaging, University Health Network, Mount Sinai Hospital and Women's College Hospital, University of Toronto, Toronto, ON, Canada (S.K.); Department of Radiology, University of Nebraska Medical Center, Omaha, Neb (E.A.E.); Department of Radiology, University of Texas Southwestern Medical Center, Dallas, Tex (I.P.); Department of Radiology, New York University Langone Medical Center, New York, NY (N.H.); Department of Radiology and Diagnostic Imaging, Hospital Israelita Albert Einstein, São Paulo, Brazil (R.H.B.); Department of Radiology, Brigham and Women's Hospital/Dana-Farber Cancer Institute, Harvard Medical School, Boston, Mass (A.S.); and Department of Radiology, Brigham and Women's Hospital, Harvard Medical School, Boston, Mass (S.G.S.)
| | - Matthew S Davenport
- From the Department of Medical Imaging, The Ottawa Hospital, University of Ottawa, 1053 Carling Ave, Ottawa, ON, Canada K1H 1H6 (N.S.); Departments of Radiology (M.S.D., N.E.C.) and Urology (M.S.D.), Michigan Medicine, University of Michigan, Ann Arbor, Mich; Joint Department of Medical Imaging, University Health Network, Mount Sinai Hospital and Women's College Hospital, University of Toronto, Toronto, ON, Canada (S.K.); Department of Radiology, University of Nebraska Medical Center, Omaha, Neb (E.A.E.); Department of Radiology, University of Texas Southwestern Medical Center, Dallas, Tex (I.P.); Department of Radiology, New York University Langone Medical Center, New York, NY (N.H.); Department of Radiology and Diagnostic Imaging, Hospital Israelita Albert Einstein, São Paulo, Brazil (R.H.B.); Department of Radiology, Brigham and Women's Hospital/Dana-Farber Cancer Institute, Harvard Medical School, Boston, Mass (A.S.); and Department of Radiology, Brigham and Women's Hospital, Harvard Medical School, Boston, Mass (S.G.S.)
| | - Satheesh Krishna
- From the Department of Medical Imaging, The Ottawa Hospital, University of Ottawa, 1053 Carling Ave, Ottawa, ON, Canada K1H 1H6 (N.S.); Departments of Radiology (M.S.D., N.E.C.) and Urology (M.S.D.), Michigan Medicine, University of Michigan, Ann Arbor, Mich; Joint Department of Medical Imaging, University Health Network, Mount Sinai Hospital and Women's College Hospital, University of Toronto, Toronto, ON, Canada (S.K.); Department of Radiology, University of Nebraska Medical Center, Omaha, Neb (E.A.E.); Department of Radiology, University of Texas Southwestern Medical Center, Dallas, Tex (I.P.); Department of Radiology, New York University Langone Medical Center, New York, NY (N.H.); Department of Radiology and Diagnostic Imaging, Hospital Israelita Albert Einstein, São Paulo, Brazil (R.H.B.); Department of Radiology, Brigham and Women's Hospital/Dana-Farber Cancer Institute, Harvard Medical School, Boston, Mass (A.S.); and Department of Radiology, Brigham and Women's Hospital, Harvard Medical School, Boston, Mass (S.G.S.)
| | - Elizabeth A Edney
- From the Department of Medical Imaging, The Ottawa Hospital, University of Ottawa, 1053 Carling Ave, Ottawa, ON, Canada K1H 1H6 (N.S.); Departments of Radiology (M.S.D., N.E.C.) and Urology (M.S.D.), Michigan Medicine, University of Michigan, Ann Arbor, Mich; Joint Department of Medical Imaging, University Health Network, Mount Sinai Hospital and Women's College Hospital, University of Toronto, Toronto, ON, Canada (S.K.); Department of Radiology, University of Nebraska Medical Center, Omaha, Neb (E.A.E.); Department of Radiology, University of Texas Southwestern Medical Center, Dallas, Tex (I.P.); Department of Radiology, New York University Langone Medical Center, New York, NY (N.H.); Department of Radiology and Diagnostic Imaging, Hospital Israelita Albert Einstein, São Paulo, Brazil (R.H.B.); Department of Radiology, Brigham and Women's Hospital/Dana-Farber Cancer Institute, Harvard Medical School, Boston, Mass (A.S.); and Department of Radiology, Brigham and Women's Hospital, Harvard Medical School, Boston, Mass (S.G.S.)
| | - Ivan Pedrosa
- From the Department of Medical Imaging, The Ottawa Hospital, University of Ottawa, 1053 Carling Ave, Ottawa, ON, Canada K1H 1H6 (N.S.); Departments of Radiology (M.S.D., N.E.C.) and Urology (M.S.D.), Michigan Medicine, University of Michigan, Ann Arbor, Mich; Joint Department of Medical Imaging, University Health Network, Mount Sinai Hospital and Women's College Hospital, University of Toronto, Toronto, ON, Canada (S.K.); Department of Radiology, University of Nebraska Medical Center, Omaha, Neb (E.A.E.); Department of Radiology, University of Texas Southwestern Medical Center, Dallas, Tex (I.P.); Department of Radiology, New York University Langone Medical Center, New York, NY (N.H.); Department of Radiology and Diagnostic Imaging, Hospital Israelita Albert Einstein, São Paulo, Brazil (R.H.B.); Department of Radiology, Brigham and Women's Hospital/Dana-Farber Cancer Institute, Harvard Medical School, Boston, Mass (A.S.); and Department of Radiology, Brigham and Women's Hospital, Harvard Medical School, Boston, Mass (S.G.S.)
| | - Nicole Hindman
- From the Department of Medical Imaging, The Ottawa Hospital, University of Ottawa, 1053 Carling Ave, Ottawa, ON, Canada K1H 1H6 (N.S.); Departments of Radiology (M.S.D., N.E.C.) and Urology (M.S.D.), Michigan Medicine, University of Michigan, Ann Arbor, Mich; Joint Department of Medical Imaging, University Health Network, Mount Sinai Hospital and Women's College Hospital, University of Toronto, Toronto, ON, Canada (S.K.); Department of Radiology, University of Nebraska Medical Center, Omaha, Neb (E.A.E.); Department of Radiology, University of Texas Southwestern Medical Center, Dallas, Tex (I.P.); Department of Radiology, New York University Langone Medical Center, New York, NY (N.H.); Department of Radiology and Diagnostic Imaging, Hospital Israelita Albert Einstein, São Paulo, Brazil (R.H.B.); Department of Radiology, Brigham and Women's Hospital/Dana-Farber Cancer Institute, Harvard Medical School, Boston, Mass (A.S.); and Department of Radiology, Brigham and Women's Hospital, Harvard Medical School, Boston, Mass (S.G.S.)
| | - Ronaldo H Baroni
- From the Department of Medical Imaging, The Ottawa Hospital, University of Ottawa, 1053 Carling Ave, Ottawa, ON, Canada K1H 1H6 (N.S.); Departments of Radiology (M.S.D., N.E.C.) and Urology (M.S.D.), Michigan Medicine, University of Michigan, Ann Arbor, Mich; Joint Department of Medical Imaging, University Health Network, Mount Sinai Hospital and Women's College Hospital, University of Toronto, Toronto, ON, Canada (S.K.); Department of Radiology, University of Nebraska Medical Center, Omaha, Neb (E.A.E.); Department of Radiology, University of Texas Southwestern Medical Center, Dallas, Tex (I.P.); Department of Radiology, New York University Langone Medical Center, New York, NY (N.H.); Department of Radiology and Diagnostic Imaging, Hospital Israelita Albert Einstein, São Paulo, Brazil (R.H.B.); Department of Radiology, Brigham and Women's Hospital/Dana-Farber Cancer Institute, Harvard Medical School, Boston, Mass (A.S.); and Department of Radiology, Brigham and Women's Hospital, Harvard Medical School, Boston, Mass (S.G.S.)
| | - Nicole E Curci
- From the Department of Medical Imaging, The Ottawa Hospital, University of Ottawa, 1053 Carling Ave, Ottawa, ON, Canada K1H 1H6 (N.S.); Departments of Radiology (M.S.D., N.E.C.) and Urology (M.S.D.), Michigan Medicine, University of Michigan, Ann Arbor, Mich; Joint Department of Medical Imaging, University Health Network, Mount Sinai Hospital and Women's College Hospital, University of Toronto, Toronto, ON, Canada (S.K.); Department of Radiology, University of Nebraska Medical Center, Omaha, Neb (E.A.E.); Department of Radiology, University of Texas Southwestern Medical Center, Dallas, Tex (I.P.); Department of Radiology, New York University Langone Medical Center, New York, NY (N.H.); Department of Radiology and Diagnostic Imaging, Hospital Israelita Albert Einstein, São Paulo, Brazil (R.H.B.); Department of Radiology, Brigham and Women's Hospital/Dana-Farber Cancer Institute, Harvard Medical School, Boston, Mass (A.S.); and Department of Radiology, Brigham and Women's Hospital, Harvard Medical School, Boston, Mass (S.G.S.)
| | - Atul Shinagare
- From the Department of Medical Imaging, The Ottawa Hospital, University of Ottawa, 1053 Carling Ave, Ottawa, ON, Canada K1H 1H6 (N.S.); Departments of Radiology (M.S.D., N.E.C.) and Urology (M.S.D.), Michigan Medicine, University of Michigan, Ann Arbor, Mich; Joint Department of Medical Imaging, University Health Network, Mount Sinai Hospital and Women's College Hospital, University of Toronto, Toronto, ON, Canada (S.K.); Department of Radiology, University of Nebraska Medical Center, Omaha, Neb (E.A.E.); Department of Radiology, University of Texas Southwestern Medical Center, Dallas, Tex (I.P.); Department of Radiology, New York University Langone Medical Center, New York, NY (N.H.); Department of Radiology and Diagnostic Imaging, Hospital Israelita Albert Einstein, São Paulo, Brazil (R.H.B.); Department of Radiology, Brigham and Women's Hospital/Dana-Farber Cancer Institute, Harvard Medical School, Boston, Mass (A.S.); and Department of Radiology, Brigham and Women's Hospital, Harvard Medical School, Boston, Mass (S.G.S.)
| | - Stuart G Silverman
- From the Department of Medical Imaging, The Ottawa Hospital, University of Ottawa, 1053 Carling Ave, Ottawa, ON, Canada K1H 1H6 (N.S.); Departments of Radiology (M.S.D., N.E.C.) and Urology (M.S.D.), Michigan Medicine, University of Michigan, Ann Arbor, Mich; Joint Department of Medical Imaging, University Health Network, Mount Sinai Hospital and Women's College Hospital, University of Toronto, Toronto, ON, Canada (S.K.); Department of Radiology, University of Nebraska Medical Center, Omaha, Neb (E.A.E.); Department of Radiology, University of Texas Southwestern Medical Center, Dallas, Tex (I.P.); Department of Radiology, New York University Langone Medical Center, New York, NY (N.H.); Department of Radiology and Diagnostic Imaging, Hospital Israelita Albert Einstein, São Paulo, Brazil (R.H.B.); Department of Radiology, Brigham and Women's Hospital/Dana-Farber Cancer Institute, Harvard Medical School, Boston, Mass (A.S.); and Department of Radiology, Brigham and Women's Hospital, Harvard Medical School, Boston, Mass (S.G.S.)
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Lu Y, Hu J, Feng N. Evolution of renal cyst to renal carcinoma: a case report and review of literature. INTERNATIONAL JOURNAL OF CLINICAL AND EXPERIMENTAL PATHOLOGY 2021; 14:463-468. [PMID: 33936368 PMCID: PMC8085821] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Subscribe] [Scholar Register] [Received: 09/01/2020] [Accepted: 12/02/2020] [Indexed: 06/12/2023]
Abstract
BACKGROUND Renal cyst is a common benign disease which is rare to progress from simple renal cyst to renal cell carcinoma. CASE PRESENTATION A 62-year-old woman who suffered a simple renal cyst for over 20 years complained intermittent lumbar in recent 2 years. At her latest admission, the cyst lesion displayed enhancement in the cystic wall by CT scan and cystic to partially solid change by ultrasound, so we did a partial nephrectomy and found that the cystic lesion had become a cyst-solid transition. The pathology turned out to be renal clear cell carcinoma. CONCLUSIONS Although the canceration of a renal cyst is a small probability event, patients with a long history of a cyst, especially those with symptoms, need to seek for medical treatment in time, and if necessary, lesion biopsy or resection may be under consideration.
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Affiliation(s)
- Yulong Lu
- Department of Urology, The Affiliated Wuxi No.2 People's Hospital of Nanjing Medical University 66 Zhongshan Road, Wuxi 214000, Jiangsu, People's Republic of China
| | - Jialin Hu
- Department of Urology, The Affiliated Wuxi No.2 People's Hospital of Nanjing Medical University 66 Zhongshan Road, Wuxi 214000, Jiangsu, People's Republic of China
| | - Ninghan Feng
- Department of Urology, The Affiliated Wuxi No.2 People's Hospital of Nanjing Medical University 66 Zhongshan Road, Wuxi 214000, Jiangsu, People's Republic of China
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Cantisani V, Bertolotto M, Clevert DA, Correas JM, Drudi FM, Fischer T, Gilja OH, Granata A, Graumann O, Harvey CJ, Ignee A, Jenssen C, Lerchbaumer MH, Ragel M, Saftoiu A, Serra AL, Stock KF, Webb J, Sidhu PS. EFSUMB 2020 Proposal for a Contrast-Enhanced Ultrasound-Adapted Bosniak Cyst Categorization - Position Statement. ULTRASCHALL IN DER MEDIZIN (STUTTGART, GERMANY : 1980) 2021; 42:154-166. [PMID: 33307594 DOI: 10.1055/a-1300-1727] [Citation(s) in RCA: 26] [Impact Index Per Article: 8.7] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/12/2023]
Abstract
The well-established Bosniak renal cyst classification is based on contrast-enhanced computed tomography determining the malignant potential of cystic renal lesions. Ultrasound has not been incorporated into this pathway. However, the development of ultrasound contrast agents coupled with the superior resolution of ultrasound makes it possible to redefine the imaging of cystic renal lesions. In this position statement, an EFSUMB Expert Task Force reviews, analyzes, and describes the accumulated knowledge and limitations and presents the current position on the use of ultrasound contrast agents in the evaluation of cystic renal lesions.
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Affiliation(s)
- Vito Cantisani
- Department of Radiology, "Sapienza" University of Rome, Rome, Italy
| | - Michele Bertolotto
- Department of Radiology, University of Trieste, Ospedale di Cattinara, Trieste, IT
| | - Dirk-André Clevert
- Department of Clinical Radiology, University of Munich-Großhadern Campus, Munich, Germany
| | - Jean-Michel Correas
- Service de Radiologie adultes, Hôpital Necker, Université Paris Descartes, Paris, France
| | | | - Thomas Fischer
- Department of Radiology, University Berlin, Charité, Berlin, Germany
| | - Odd Helge Gilja
- Haukeland University Hospital, National Centre for Ultrasound in Gastroenterology, Bergen, Norway
| | - Antonio Granata
- Nephrology and Dialysis Unit, Emergency Hospital "Cannizzaro", Catania - Italy
| | - Ole Graumann
- Research and Innovation Unit of Radiology, University of Southern Denmark, Odense C, Denmark
| | - Christopher J Harvey
- Department of Imaging, Imperial College NHS Healthcare Trust, London, United Kingdom of Great Britain and Northern Ireland
| | - Andre Ignee
- Innere Medizin 2, Caritas-Krankenhaus, Bad Mergentheim, Germany
| | - Christian Jenssen
- Klinik für Innere Medizin, Krankenhaus Märkisch Oderland Strausberg/Wriezen, Germany
| | - Markus Herbert Lerchbaumer
- Department of Radiology, Charité Centrum 6 - Diagnostische und interventionelle Radiologie und Nuklearmedizin, Berlin, Germany
| | - Matthew Ragel
- Radiology Department, Aintree University Hospitals NHS Foundation Trust, Liverpool, United Kingdom of Great Britain and Northern Ireland
| | - Adrian Saftoiu
- Research Center in Gastroenterology and Hepatology, University of Medicine and Pharmacy Craiova, Romania
| | - Andreas L Serra
- Department of Internal Medicine and Nephrology, Klinik Hirslanden, Zürich, Switzerland
| | | | - Jolanta Webb
- Radiology Department, Aintree University Hospitals NHS Foundation Trust, Liverpool, United Kingdom of Great Britain and Northern Ireland
| | - Paul S Sidhu
- Department of Radiology, King's College Hospital London, United Kingdom of Great Britain and Northern Ireland
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Spiesecke P, Reinhold T, Wehrenberg Y, Werner S, Maxeiner A, Busch J, Fischer T, Hamm B, Lerchbaumer MH. Cost‐effectiveness analysis of multiple imaging modalities in diagnosis and follow‐up of intermediate complex cystic renal lesions. BJU Int 2021; 128:575-585. [DOI: 10.1111/bju.15353] [Citation(s) in RCA: 7] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/25/2023]
Affiliation(s)
| | - Thomas Reinhold
- Institute of Social Medicine, Epidemiology, and Health Economics
| | | | | | - Andreas Maxeiner
- Department of Urology Charité – Universitätsmedizin Berlin, corporate member of Freie Universität Berlin, Humboldt‐Universität zu Berlin, and Berlin Institute of Health Berlin Germany
| | - Jonas Busch
- Department of Urology Charité – Universitätsmedizin Berlin, corporate member of Freie Universität Berlin, Humboldt‐Universität zu Berlin, and Berlin Institute of Health Berlin Germany
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Contrast-enhanced ultrasound (CEUS) imaging for active surveillance of small renal masses. World J Urol 2021; 39:2853-2860. [PMID: 33495864 DOI: 10.1007/s00345-021-03589-6] [Citation(s) in RCA: 9] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/11/2020] [Accepted: 01/05/2021] [Indexed: 12/19/2022] Open
Abstract
PURPOSE To assess the safety and efficacy of contrast-enhanced ultrasound (CEUS) imaging for monitoring small (< 4 cm) renal masses (SRM) in patients undergoing active surveillance (AS). METHODS We retrospectively selected all consecutive patients with SRMs who underwent AS for at least 6 months at our Institution between January 2014 and December 2018. CEUS imaging was performed by two experienced genitourinary radiologists at established time points. The accuracy of CEUS for monitoring SRM size was compared with that of CT scan. For solid SRMs, four enhancement patterns (EP) were recorded. Radiological progression was defined as SRM growth rate ≥ 5 mm/year. RESULTS Overall, 158/1049 (15.1%) patients with SRMs underwent AS. At a median follow-up of 25 months (IQR 13-39), no patient died due to renal cell carcinoma (RCC). No patients experienced CEUS-related adverse events. There was a large variability in the pattern of growth of SRMs (overall median growth rate: 0.40 mm/year), with 9.5% of SRMs showing radiological progression. The median SRM size was comparable between CEUS and CT scan examinations at all time points. The vast majority (92.7%) of SRMs did not show a change in their EP over time; and there was no association between the SRM's EP and radiological progression or SRM size. Overall, 43 (27.2%) patients underwent delayed intervention (DI); median SRM size, and median growth rate were significantly higher in these patients as compared to those continuing AS. CONCLUSION In experienced hands, CEUS is a safe and effective strategy for active monitoring of SRMs in well-selected patients undergoing AS.
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Oka T, Hatano K, Okuda Y, Asakura T, Nakai Y, Nakayama M, Kakimoto K, Kubo C, Nakatsuka S, Nishimura K. Partial nephrectomy for a Bosniak IV cystic renal mass mimicking a simple renal cyst adjacent to a solid renal tumor. IJU Case Rep 2021; 4:18-21. [PMID: 33426489 PMCID: PMC7784766 DOI: 10.1002/iju5.12227] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/08/2020] [Accepted: 09/12/2020] [Indexed: 11/17/2022] Open
Abstract
INTRODUCTION Renal tumors are often associated with renal cysts. Meanwhile, in some cases there are challenging issues of how to diagnose renal cystic tumors and to decide surgical procedures. CASE PRESENTATION A 75-year-old man was referred to our department for a 21-mm tumor by his left kidney. Contrast-enhanced computed tomography showed an intense contrast uptake the tumor, which was adjacent to a 64-mm unilocular renal cyst with no contrasting effects. It was clinically diagnosed as renal cell carcinoma, stage T1aN0M0, and treated with robot-assisted partial nephrectomy, for both the solid tumor and the adjacent cyst. Pathological findings revealed a tumor cell clump within the cyst wall, concurrent with the renal cell carcinoma. The patient has remained free of disease at 1 year after surgery. CONCLUSION A partial nephrectomy that includes the entire cyst wall should be considered for renal tumor associated with unilocular renal cyst.
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Affiliation(s)
- Toshiki Oka
- Departments ofDepartment ofUrologyPathology and CytologyOsakaJapan
| | - Koji Hatano
- Departments ofDepartment ofUrologyPathology and CytologyOsakaJapan
| | - Yohei Okuda
- Departments ofDepartment ofUrologyPathology and CytologyOsakaJapan
| | | | - Yasutomo Nakai
- Departments ofDepartment ofUrologyPathology and CytologyOsakaJapan
| | - Masashi Nakayama
- Departments ofDepartment ofUrologyPathology and CytologyOsakaJapan
| | | | - Chiaki Kubo
- Department ofPathology and CytologyOsaka International Cancer InstituteOsakaJapan
| | - Shin‐ichi Nakatsuka
- Department ofPathology and CytologyOsaka International Cancer InstituteOsakaJapan
| | - Kazuo Nishimura
- Departments ofDepartment ofUrologyPathology and CytologyOsakaJapan
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Park BK, Shen SH, Fujimori M, Wang Y. Asian Conference on Tumor Ablation guidelines for renal cell carcinoma. Investig Clin Urol 2021; 62:378-388. [PMID: 34190433 PMCID: PMC8246015 DOI: 10.4111/icu.20210168] [Citation(s) in RCA: 6] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/18/2021] [Revised: 05/14/2021] [Accepted: 06/01/2021] [Indexed: 01/20/2023] Open
Abstract
Thermal ablation has been established as an alternative treatment for renal cell carcinoma (RCC) in patients who are poor candidates for surgery. However, while American and European guidelines have been established for American and European patients, respectively, no ablation guidelines for Asian patients with RCCs have been established many years after the Asian Conference on Tumor Ablation (ACTA) had been held. Given that Western guidelines are difficult to apply to Asian patients due to differences in body habitus, economic status, and insurance systems, the current review sought to establish the first version of the ACTA guidelines for treating a RCC with thermal ablation.
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Affiliation(s)
- Byung Kwan Park
- Department of Radiology, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Korea.
| | - Shu Huei Shen
- Department of Radiology, Taipei Veterans General Hospital, Taipei, Taiwan
| | - Masashi Fujimori
- Department of Radiology, Mie University School of Medicine, Mie Prefecture, Japan
| | - Yi Wang
- Department of Urology, Peking University Wujieping Urology Center, Peking University Shougang Hospital, Beijing, China
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Hedegaard SF, Tolouee SA, Azawi NH. Multi-disciplinary team conference clarifies bosniak classification of complex renal cysts. Scand J Urol 2020; 55:78-82. [PMID: 33307952 DOI: 10.1080/21681805.2020.1857830] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/22/2022]
Abstract
OBJECTIVES The aims of this study are to determine the progression rate of Bosniak IIF cysts, the malignancy rates of complex renal cysts in patients undergoing surgery and explore the influence of multi-disciplinary team conference (MDT) on re-classification of Bosniak cysts. MATERIALS AND METHODS All CT scans from January 2010 to 2017 were pooled into a database. Initially, 167 patients were identified with possible Bosniak IIF, III or IV cysts. Patients with follow up of less than 24 months, without progression or regression were excluded. RESULTS Thirty-one (18.6%) cysts of the initial 167 cysts were either up or downgraded at a MDT. Twenty-six of the 31 cysts were up or downgraded at the primary MDT, 13 cysts (50%) were downgraded, five cysts (19.2%) were upgraded and eight cysts (30.8%) were re-classified as solid tumors. Of those 19/26 (73.1%) were primary interpreted by a periphery radiologist and re-classified centrally. The last five patients 5/120 cysts (4.2%) were re-classified during follow up. 116 patients with a total of 120 cysts met the inclusion criteria, 79 (65.8%) Bosniak IIF, 28 (23.3%) Bosniak III and 13 (10.8%) Bosniak IV cysts represented. Median follow up of Bosniak IIF cysts were 46 months. One Bosniak IIF cyst progressed to a solid tumor at 15 months from diagnosis, progression rate 1.3%. Histopathology was papillary renal cell carcinoma. Malignancy rates of Bosniak III and IV cysts were 50% and 78%, respectively. CONCLUSION Multi-disciplinary team conference may have an important role in correct classification of Bosniak cysts. TRIAL REGISTRATION None.
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Affiliation(s)
| | | | - Nessn H Azawi
- Department of Urology, Zealand University Hospital, Roskilde, Denmark.,Institute of Clinical Medicine, University of Copenhagen, Copenhagen, Denmark
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Schwarze V, Rübenthaler J, Čečatka S, Marschner C, Froelich MF, Sabel BO, Staehler M, Knösel T, Geyer T, Clevert DA. Contrast-Enhanced Ultrasound (CEUS) for the Evaluation of Bosniak III Complex Renal Cystic Lesions-A 10-Year Specialized European Single-Center Experience with Histopathological Validation. ACTA ACUST UNITED AC 2020; 56:medicina56120692. [PMID: 33322683 PMCID: PMC7763943 DOI: 10.3390/medicina56120692] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/15/2020] [Revised: 11/27/2020] [Accepted: 12/10/2020] [Indexed: 12/21/2022]
Abstract
Background and objectives: The aim of the present retrospective single-center study is to evaluate the diagnostic performance of contrast-enhanced ultrasound (CEUS) for assessing Bosniak III complex renal cystic lesions with histopathological validation. Materials and Methods: 49 patients with CEUS-categorized Bosniak III renal cystic lesions were included in this retrospective study. All patients underwent native B-mode, Color Doppler, contrast-enhanced ultrasound (CEUS) between 2010-2020. Eight and five patients underwent computed tomography (CT) and magnetic resonance imaging (MRI), respectively. Twenty-nine underwent (partial) nephrectomy allowing for histopathological analysis. The applied contrast agent for CEUS was a second-generation blood pool agent. Ultrasonography examinations were performed and interpreted by a single experienced radiologist with more than 15 years of experience (EFSUMB Level 3). Results: CEUS examinations were successfully performed in all included patients without registering any adverse effects. The malignancy rate of CEUS-categorized Bosniak III renal lesions accounted for 66%. Initially, cystic complexity was visualized in native B-mode. In none of the renal lesions hypervascularization was detected in Color Doppler. CEUS allowed for detection of contrast enhancement patterns in all included Bosniak III renal lesions. Delayed wash-out could be detected in 6/29 renal lesions. In two cases of histopathologically confirmed clear-cell RCC, appropriate up-grading from Bosniak IIF to III was achieved by CEUS. Conclusions: CEUS depicts a promising imaging modality for the precise diagnostic workup and stratification of renal cystic lesions according to the Bosniak classification system, thereby helping guidance of adequate clinical management in the future.
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Affiliation(s)
- Vincent Schwarze
- Department of Radiology, University Hospital LMU, Marchioninistrasse 15, 81377 Munich, Germany; (V.S.); (J.R.); (S.Č.); (C.M.); (B.O.S.); (D.-A.C.)
| | - Johannes Rübenthaler
- Department of Radiology, University Hospital LMU, Marchioninistrasse 15, 81377 Munich, Germany; (V.S.); (J.R.); (S.Č.); (C.M.); (B.O.S.); (D.-A.C.)
| | - Saša Čečatka
- Department of Radiology, University Hospital LMU, Marchioninistrasse 15, 81377 Munich, Germany; (V.S.); (J.R.); (S.Č.); (C.M.); (B.O.S.); (D.-A.C.)
| | - Constantin Marschner
- Department of Radiology, University Hospital LMU, Marchioninistrasse 15, 81377 Munich, Germany; (V.S.); (J.R.); (S.Č.); (C.M.); (B.O.S.); (D.-A.C.)
| | - Matthias Frank Froelich
- Department of Radiology and Nuclear Medicine, University Medical Centre Mannheim, Theodor-Kutzer-Ufer 1-3, 68167 Mannheim, Germany;
| | - Bastian Oliver Sabel
- Department of Radiology, University Hospital LMU, Marchioninistrasse 15, 81377 Munich, Germany; (V.S.); (J.R.); (S.Č.); (C.M.); (B.O.S.); (D.-A.C.)
| | - Michael Staehler
- Department of Urology, University Hospital LMU, Marchioninistrasse 15, 81377 Munich, Germany;
| | - Thomas Knösel
- Institute of Pathology, University Hospital LMU, Marchioninistrasse 15, 81377 Munich, Germany;
| | - Thomas Geyer
- Department of Radiology, University Hospital LMU, Marchioninistrasse 15, 81377 Munich, Germany; (V.S.); (J.R.); (S.Č.); (C.M.); (B.O.S.); (D.-A.C.)
- Correspondence: ; Tel.: +49-89-4400-73620
| | - Dirk-André Clevert
- Department of Radiology, University Hospital LMU, Marchioninistrasse 15, 81377 Munich, Germany; (V.S.); (J.R.); (S.Č.); (C.M.); (B.O.S.); (D.-A.C.)
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Ficarra V, Caloggero S, Rossanese M, Giannarini G, Crestani A, Ascenti G, Novara G, Porpiglia F. Computed tomography features predicting aggressiveness of malignant parenchymal renal tumors suitable for partial nephrectomy. Minerva Urol Nephrol 2020; 73:17-31. [PMID: 33200903 DOI: 10.23736/s2724-6051.20.04073-4] [Citation(s) in RCA: 12] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/12/2023]
Abstract
The aim of this study was to identify and standardize computed tomography (CT) features having a potential role in predicting aggressiveness of malignant parenchymal renal tumors suitable for partial nephrectomy (PN). We performed a non-systematic review of the recent literature to evaluate the potential impact of CT variables proposed by the Society of Abdominal Radiology Disease-Focused Panel on Renal Cell Carcinoma in predicting aggressiveness of newly diagnosed malignant parenchymal renal tumors. The analyzed variables were clinical tumor size, tumor growth rate, enhancement characteristics, amount of cystic component, polar and capsular location, tumor margins and distance between tumor and renal sinus. Unfavorable behavior was defined as: 1) renal cell carcinoma (RCC) with stage ≥pT3; 2) nuclear grade 3 or 4; 3) presence of sarcomatoid de-differentiation; or 4) non-clear cell subtypes with unfavorable prognosis (type 2 papillary RCC, collecting duct or renal medullary carcinoma, unclassified RCC). Beyond clinical tumor size, tumor growth rate, enhancement characteristics, amount of cystic component, tumor margins and distance between tumor and renal sinus are highly relevant features predicting an unfavorable behavior. Moreover, several studies supported the role of necrosis as preoperative predictor of tumor aggressiveness. Peritumoral and intratumoral vasculature as well as capsule status are emerging variables that need to be further evaluated. Tumor size, enhancement characteristics, tumor margins and distance to the renal sinus are highly relevant CT features predicting biological aggressiveness of malignant parenchymal renal tumors. Combination of these parameters might be useful to generate tools to predict the unfavorable behavior of renal tumors suitable for PN.
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Affiliation(s)
- Vincenzo Ficarra
- Unit of Urology, Department of Human and Pediatric Pathology "Gaetano Barresi", G. Martino University Hospital, University of Messina, Messina, Italy -
| | | | - Marta Rossanese
- Unit of Urology, Department of Human and Pediatric Pathology "Gaetano Barresi", G. Martino University Hospital, University of Messina, Messina, Italy
| | - Gianluca Giannarini
- Unit of Urology, Academic Medical Center "Santa Maria della Misericordia", Udine, Italy
| | | | - Giorgio Ascenti
- Department of Radiology, University of Messina, Messina, Italy
| | - Giacomo Novara
- Unit of Urology, Department of Oncological, Surgical and Gastrointestinal Sciences, University of Padua, Padua, Italy
| | - Francesco Porpiglia
- Division of Urology, Department of Oncology, San Luigi Gonzaga Hospital, University of Turin, Orbassano, Turin, Italy
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Schwarze V, Rübenthaler J, Marschner C, Fabritius MP, Rueckel J, Fink N, Puhr-Westerheide D, Gresser E, Froelich MF, Schnitzer ML, Große Hokamp N, Afat S, Staehler M, Geyer T, Clevert DA. Advanced Fusion Imaging and Contrast-Enhanced Imaging (CT/MRI-CEUS) in Oncology. Cancers (Basel) 2020; 12:E2821. [PMID: 33007933 PMCID: PMC7600560 DOI: 10.3390/cancers12102821] [Citation(s) in RCA: 12] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/30/2020] [Revised: 09/24/2020] [Accepted: 09/28/2020] [Indexed: 02/07/2023] Open
Abstract
Fusion imaging depicts an innovative technique that facilitates combining assets and reducing restrictions of advanced ultrasound and cross-sectional imaging. The purpose of the present retrospective study was to evaluate the role of fusion imaging for assessing hepatic and renal lesions. Between 02/2011-08/2020, 92 patients in total were included in the study, of which 32 patients had hepatic lesions, 60 patients had renal lesions. Fusion imaging was technically successful in all patients. No adverse side effects upon intravenous (i.v.) application of SonoVue® (Bracco, Milan, Italy) were registered. Fusion imaging could clarify all 11 (100%) initially as indeterminate described hepatic lesions by computed tomography/magnetic resonance imaging (CT/MRI). Moreover, 5/14 (36%) initially suspicious hepatic lesions could be validated by fusion imaging, whereas in 8/14 (57%), malignant morphology was disproved. Moreover, fusion imaging allowed for the clarification of 29/30 (97%) renal lesions initially characterized as suspicious by CT/MRI, of which 19/30 (63%) underwent renal surgery, histopathology revealed malignancy in 16/19 (84%), and benignity in 3/19 (16%). Indeterminate findings could be elucidated by fusion imaging in 20/20 (100%) renal lesions. Its accessibility and repeatability, even during pregnancy and in childhood, its cost-effectiveness, and its excellent safety profile, make fusion imaging a promising instrument for the thorough evaluation of hepatic and renal lesions in the future.
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Affiliation(s)
- Vincent Schwarze
- Department of Radiology, University Hospital LMU, Marchioninistrasse 15, 81377 Munich, Germany; (J.R.); (C.M.); (M.P.F.); (J.R.); (N.F.); (D.P.-W.); (E.G.); (M.L.S.); (T.G.); (D.-A.C.)
| | - Johannes Rübenthaler
- Department of Radiology, University Hospital LMU, Marchioninistrasse 15, 81377 Munich, Germany; (J.R.); (C.M.); (M.P.F.); (J.R.); (N.F.); (D.P.-W.); (E.G.); (M.L.S.); (T.G.); (D.-A.C.)
| | - Constantin Marschner
- Department of Radiology, University Hospital LMU, Marchioninistrasse 15, 81377 Munich, Germany; (J.R.); (C.M.); (M.P.F.); (J.R.); (N.F.); (D.P.-W.); (E.G.); (M.L.S.); (T.G.); (D.-A.C.)
| | - Matthias Philipp Fabritius
- Department of Radiology, University Hospital LMU, Marchioninistrasse 15, 81377 Munich, Germany; (J.R.); (C.M.); (M.P.F.); (J.R.); (N.F.); (D.P.-W.); (E.G.); (M.L.S.); (T.G.); (D.-A.C.)
| | - Johannes Rueckel
- Department of Radiology, University Hospital LMU, Marchioninistrasse 15, 81377 Munich, Germany; (J.R.); (C.M.); (M.P.F.); (J.R.); (N.F.); (D.P.-W.); (E.G.); (M.L.S.); (T.G.); (D.-A.C.)
| | - Nicola Fink
- Department of Radiology, University Hospital LMU, Marchioninistrasse 15, 81377 Munich, Germany; (J.R.); (C.M.); (M.P.F.); (J.R.); (N.F.); (D.P.-W.); (E.G.); (M.L.S.); (T.G.); (D.-A.C.)
| | - Daniel Puhr-Westerheide
- Department of Radiology, University Hospital LMU, Marchioninistrasse 15, 81377 Munich, Germany; (J.R.); (C.M.); (M.P.F.); (J.R.); (N.F.); (D.P.-W.); (E.G.); (M.L.S.); (T.G.); (D.-A.C.)
| | - Eva Gresser
- Department of Radiology, University Hospital LMU, Marchioninistrasse 15, 81377 Munich, Germany; (J.R.); (C.M.); (M.P.F.); (J.R.); (N.F.); (D.P.-W.); (E.G.); (M.L.S.); (T.G.); (D.-A.C.)
| | - Matthias Frank Froelich
- Institute of Clinical Radiology and Nuclear Medicine, University Medical Center Mannheim, Theodor-Kutzer-Ufer 1-3, 68167 Mannheim, Germany;
| | - Moritz Ludwig Schnitzer
- Department of Radiology, University Hospital LMU, Marchioninistrasse 15, 81377 Munich, Germany; (J.R.); (C.M.); (M.P.F.); (J.R.); (N.F.); (D.P.-W.); (E.G.); (M.L.S.); (T.G.); (D.-A.C.)
| | - Nils Große Hokamp
- Institute for Diagnostic and Interventional Radiology, Faculty of Medicine and University Hospital Cologne, University Cologne, Kerpener Str. 62, 50937 Cologne, Germany;
| | - Saif Afat
- Department for Diagnostic and Interventional Radiology, Eberhard Karls University Tuebingen, University Hospital Tuebingen, Hoppe-Seyler-Str. 3, 72076 Tuebingen, Germany;
| | - Michael Staehler
- Department of Urology, University Hospital LMU, Marchioninistrasse 15, 81377 Munich, Germany;
| | - Thomas Geyer
- Department of Radiology, University Hospital LMU, Marchioninistrasse 15, 81377 Munich, Germany; (J.R.); (C.M.); (M.P.F.); (J.R.); (N.F.); (D.P.-W.); (E.G.); (M.L.S.); (T.G.); (D.-A.C.)
| | - Dirk-André Clevert
- Department of Radiology, University Hospital LMU, Marchioninistrasse 15, 81377 Munich, Germany; (J.R.); (C.M.); (M.P.F.); (J.R.); (N.F.); (D.P.-W.); (E.G.); (M.L.S.); (T.G.); (D.-A.C.)
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Bai X, Sun SM, Xu W, Kang HH, Li L, Jin YQ, Gong QGL, Liang GC, Liu HY, Liu LL, Chen SL, Wang QR, Wu P, Guo AT, Huang QB, Zhang XJ, Ye HY, Wang HY. MRI-based Bosniak Classification of Cystic Renal Masses, Version 2019: Interobserver Agreement, Impact of Readers' Experience, and Diagnostic Performance. Radiology 2020; 297:597-605. [PMID: 32960726 DOI: 10.1148/radiol.2020200478] [Citation(s) in RCA: 35] [Impact Index Per Article: 8.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/22/2023]
Abstract
Background The 2019 Bosniak classification (version 2019) of cystic renal masses (CRMs) provides a systematic update to the currently used 2005 Bosniak classification (version 2005). Further validation is required before widespread application. Purpose To evaluate the interobserver agreement of MRI criteria, the impact of readers' experience, and the diagnostic performance between version 2019 and version 2005. Materials and Methods From January 2009 to December 2018, consecutive patients with CRM who had undergone renal MRI and surgical-pathologic examination were included in this retrospective study. On the basis of version 2019 and version 2005, all CRMs were independently classified by eight radiologists with different levels of experience. By using multirater κ statistics, interobserver agreement was evaluated with comparisons between classifications and between senior and junior radiologists. Diagnostic performance between classifications by dichotomizing classes I-IV into lower (I-IIF) and higher (III-IV) classes was compared by using the McNemar test. P < .05 was considered to indicate a statistically significant difference. Results A total of 207 patients (mean age ± standard deviation, 49 years ± 12; 139 male and 68 female patients) with CRMs were included. Overall, interobserver agreement was higher with version 2019 than version 2005 (weighted κ = 0.64 vs 0.50, respectively; P < .001). Interobserver agreement between senior and junior radiologists did not differ between version 2019 (weighted κ = 0.65 vs 0.64, respectively; P = .71) and version 2005 (weighted κ = 0.54 vs 0.46; P < .001). Diagnostic specificity for malignancy was higher with version 2019 than with version 2005 (83% [92 of 111] vs 68% [75 of 111], respectively; P < .001), without any difference in sensitivity (89% [85 of 96] vs 84% [81 of 96]; P = .34). Conclusion In the updated Bosniak classification, interobserver agreement improved and was unaffected by observers' experience. The diagnostic performance with version 2019 was superior to that with version 2005, with higher specificity. Published under a CC BY 4.0 license. Online supplemental material is available for this article. See also the editorial by Choyke in this issue.
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Affiliation(s)
- Xu Bai
- From the Medical School of Chinese PLA, No. 28 Fuxing Rd, Haidian District, Beijing 100853, China (X.B., S.M.S., H.H.K.); Department of Radiology, First Medical Center, Chinese PLA General Hospital, Beijing, China (X.B., W.X., H.H.K., X.J.Z., H.Y.Y., H.Y.W.); Department of Health Service, Second Medical Center, Chinese PLA General Hospital, Beijing, China (S.M.S.); Department of Medical Statistic, Institute for Hospital Management Research, Chinese PLA General Hospital, Beijing, China (L.L.); Department of Radiology, Huaiyang County People's Hospital, Zhoukou, China (Y.Q.J.); Department of Radiology, Armed Police Corps Hospital of Henan Province, Zhengzhou, China (Q.G.L.G.); Department of Radiology, Zunhua Second Hospital, Zunhua, China (G.C.L.); Department of Radiology, Baoding Qingyuan District People's Hospital, Baoding, China (H.Y.L.); Department of Radiology, Beijing First Hospital of Integrated Chinese and Western Medicine, Beijing, China (L.L.L.); Department of Radiology, Seventh Medical Center, Chinese PLA General Hospital, Beijing, China (S.L.C.); Department of Radiology, The People's Hospital of Xishuangbanna Dai Nationality Autonomous Prefecture, Jinghong, China (Q.R.W.); Department of Radiology, First Affiliated Hospital of Hebei North University, Zhangjiakou, China (P.W.); Department of Pathology, First Medical Center, Chinese PLA General Hospital, Beijing, China (A.T.G.). Department of Urology, First Medical Center, Chinese PLA General Hospital, Beijing, China (Q.B.H.)
| | - Song-Mei Sun
- From the Medical School of Chinese PLA, No. 28 Fuxing Rd, Haidian District, Beijing 100853, China (X.B., S.M.S., H.H.K.); Department of Radiology, First Medical Center, Chinese PLA General Hospital, Beijing, China (X.B., W.X., H.H.K., X.J.Z., H.Y.Y., H.Y.W.); Department of Health Service, Second Medical Center, Chinese PLA General Hospital, Beijing, China (S.M.S.); Department of Medical Statistic, Institute for Hospital Management Research, Chinese PLA General Hospital, Beijing, China (L.L.); Department of Radiology, Huaiyang County People's Hospital, Zhoukou, China (Y.Q.J.); Department of Radiology, Armed Police Corps Hospital of Henan Province, Zhengzhou, China (Q.G.L.G.); Department of Radiology, Zunhua Second Hospital, Zunhua, China (G.C.L.); Department of Radiology, Baoding Qingyuan District People's Hospital, Baoding, China (H.Y.L.); Department of Radiology, Beijing First Hospital of Integrated Chinese and Western Medicine, Beijing, China (L.L.L.); Department of Radiology, Seventh Medical Center, Chinese PLA General Hospital, Beijing, China (S.L.C.); Department of Radiology, The People's Hospital of Xishuangbanna Dai Nationality Autonomous Prefecture, Jinghong, China (Q.R.W.); Department of Radiology, First Affiliated Hospital of Hebei North University, Zhangjiakou, China (P.W.); Department of Pathology, First Medical Center, Chinese PLA General Hospital, Beijing, China (A.T.G.). Department of Urology, First Medical Center, Chinese PLA General Hospital, Beijing, China (Q.B.H.)
| | - Wei Xu
- From the Medical School of Chinese PLA, No. 28 Fuxing Rd, Haidian District, Beijing 100853, China (X.B., S.M.S., H.H.K.); Department of Radiology, First Medical Center, Chinese PLA General Hospital, Beijing, China (X.B., W.X., H.H.K., X.J.Z., H.Y.Y., H.Y.W.); Department of Health Service, Second Medical Center, Chinese PLA General Hospital, Beijing, China (S.M.S.); Department of Medical Statistic, Institute for Hospital Management Research, Chinese PLA General Hospital, Beijing, China (L.L.); Department of Radiology, Huaiyang County People's Hospital, Zhoukou, China (Y.Q.J.); Department of Radiology, Armed Police Corps Hospital of Henan Province, Zhengzhou, China (Q.G.L.G.); Department of Radiology, Zunhua Second Hospital, Zunhua, China (G.C.L.); Department of Radiology, Baoding Qingyuan District People's Hospital, Baoding, China (H.Y.L.); Department of Radiology, Beijing First Hospital of Integrated Chinese and Western Medicine, Beijing, China (L.L.L.); Department of Radiology, Seventh Medical Center, Chinese PLA General Hospital, Beijing, China (S.L.C.); Department of Radiology, The People's Hospital of Xishuangbanna Dai Nationality Autonomous Prefecture, Jinghong, China (Q.R.W.); Department of Radiology, First Affiliated Hospital of Hebei North University, Zhangjiakou, China (P.W.); Department of Pathology, First Medical Center, Chinese PLA General Hospital, Beijing, China (A.T.G.). Department of Urology, First Medical Center, Chinese PLA General Hospital, Beijing, China (Q.B.H.)
| | - Huan-Huan Kang
- From the Medical School of Chinese PLA, No. 28 Fuxing Rd, Haidian District, Beijing 100853, China (X.B., S.M.S., H.H.K.); Department of Radiology, First Medical Center, Chinese PLA General Hospital, Beijing, China (X.B., W.X., H.H.K., X.J.Z., H.Y.Y., H.Y.W.); Department of Health Service, Second Medical Center, Chinese PLA General Hospital, Beijing, China (S.M.S.); Department of Medical Statistic, Institute for Hospital Management Research, Chinese PLA General Hospital, Beijing, China (L.L.); Department of Radiology, Huaiyang County People's Hospital, Zhoukou, China (Y.Q.J.); Department of Radiology, Armed Police Corps Hospital of Henan Province, Zhengzhou, China (Q.G.L.G.); Department of Radiology, Zunhua Second Hospital, Zunhua, China (G.C.L.); Department of Radiology, Baoding Qingyuan District People's Hospital, Baoding, China (H.Y.L.); Department of Radiology, Beijing First Hospital of Integrated Chinese and Western Medicine, Beijing, China (L.L.L.); Department of Radiology, Seventh Medical Center, Chinese PLA General Hospital, Beijing, China (S.L.C.); Department of Radiology, The People's Hospital of Xishuangbanna Dai Nationality Autonomous Prefecture, Jinghong, China (Q.R.W.); Department of Radiology, First Affiliated Hospital of Hebei North University, Zhangjiakou, China (P.W.); Department of Pathology, First Medical Center, Chinese PLA General Hospital, Beijing, China (A.T.G.). Department of Urology, First Medical Center, Chinese PLA General Hospital, Beijing, China (Q.B.H.)
| | - Lin Li
- From the Medical School of Chinese PLA, No. 28 Fuxing Rd, Haidian District, Beijing 100853, China (X.B., S.M.S., H.H.K.); Department of Radiology, First Medical Center, Chinese PLA General Hospital, Beijing, China (X.B., W.X., H.H.K., X.J.Z., H.Y.Y., H.Y.W.); Department of Health Service, Second Medical Center, Chinese PLA General Hospital, Beijing, China (S.M.S.); Department of Medical Statistic, Institute for Hospital Management Research, Chinese PLA General Hospital, Beijing, China (L.L.); Department of Radiology, Huaiyang County People's Hospital, Zhoukou, China (Y.Q.J.); Department of Radiology, Armed Police Corps Hospital of Henan Province, Zhengzhou, China (Q.G.L.G.); Department of Radiology, Zunhua Second Hospital, Zunhua, China (G.C.L.); Department of Radiology, Baoding Qingyuan District People's Hospital, Baoding, China (H.Y.L.); Department of Radiology, Beijing First Hospital of Integrated Chinese and Western Medicine, Beijing, China (L.L.L.); Department of Radiology, Seventh Medical Center, Chinese PLA General Hospital, Beijing, China (S.L.C.); Department of Radiology, The People's Hospital of Xishuangbanna Dai Nationality Autonomous Prefecture, Jinghong, China (Q.R.W.); Department of Radiology, First Affiliated Hospital of Hebei North University, Zhangjiakou, China (P.W.); Department of Pathology, First Medical Center, Chinese PLA General Hospital, Beijing, China (A.T.G.). Department of Urology, First Medical Center, Chinese PLA General Hospital, Beijing, China (Q.B.H.)
| | - Ye-Qiang Jin
- From the Medical School of Chinese PLA, No. 28 Fuxing Rd, Haidian District, Beijing 100853, China (X.B., S.M.S., H.H.K.); Department of Radiology, First Medical Center, Chinese PLA General Hospital, Beijing, China (X.B., W.X., H.H.K., X.J.Z., H.Y.Y., H.Y.W.); Department of Health Service, Second Medical Center, Chinese PLA General Hospital, Beijing, China (S.M.S.); Department of Medical Statistic, Institute for Hospital Management Research, Chinese PLA General Hospital, Beijing, China (L.L.); Department of Radiology, Huaiyang County People's Hospital, Zhoukou, China (Y.Q.J.); Department of Radiology, Armed Police Corps Hospital of Henan Province, Zhengzhou, China (Q.G.L.G.); Department of Radiology, Zunhua Second Hospital, Zunhua, China (G.C.L.); Department of Radiology, Baoding Qingyuan District People's Hospital, Baoding, China (H.Y.L.); Department of Radiology, Beijing First Hospital of Integrated Chinese and Western Medicine, Beijing, China (L.L.L.); Department of Radiology, Seventh Medical Center, Chinese PLA General Hospital, Beijing, China (S.L.C.); Department of Radiology, The People's Hospital of Xishuangbanna Dai Nationality Autonomous Prefecture, Jinghong, China (Q.R.W.); Department of Radiology, First Affiliated Hospital of Hebei North University, Zhangjiakou, China (P.W.); Department of Pathology, First Medical Center, Chinese PLA General Hospital, Beijing, China (A.T.G.). Department of Urology, First Medical Center, Chinese PLA General Hospital, Beijing, China (Q.B.H.)
| | - Qing-Ge-Le Gong
- From the Medical School of Chinese PLA, No. 28 Fuxing Rd, Haidian District, Beijing 100853, China (X.B., S.M.S., H.H.K.); Department of Radiology, First Medical Center, Chinese PLA General Hospital, Beijing, China (X.B., W.X., H.H.K., X.J.Z., H.Y.Y., H.Y.W.); Department of Health Service, Second Medical Center, Chinese PLA General Hospital, Beijing, China (S.M.S.); Department of Medical Statistic, Institute for Hospital Management Research, Chinese PLA General Hospital, Beijing, China (L.L.); Department of Radiology, Huaiyang County People's Hospital, Zhoukou, China (Y.Q.J.); Department of Radiology, Armed Police Corps Hospital of Henan Province, Zhengzhou, China (Q.G.L.G.); Department of Radiology, Zunhua Second Hospital, Zunhua, China (G.C.L.); Department of Radiology, Baoding Qingyuan District People's Hospital, Baoding, China (H.Y.L.); Department of Radiology, Beijing First Hospital of Integrated Chinese and Western Medicine, Beijing, China (L.L.L.); Department of Radiology, Seventh Medical Center, Chinese PLA General Hospital, Beijing, China (S.L.C.); Department of Radiology, The People's Hospital of Xishuangbanna Dai Nationality Autonomous Prefecture, Jinghong, China (Q.R.W.); Department of Radiology, First Affiliated Hospital of Hebei North University, Zhangjiakou, China (P.W.); Department of Pathology, First Medical Center, Chinese PLA General Hospital, Beijing, China (A.T.G.). Department of Urology, First Medical Center, Chinese PLA General Hospital, Beijing, China (Q.B.H.)
| | - Guo-Cheng Liang
- From the Medical School of Chinese PLA, No. 28 Fuxing Rd, Haidian District, Beijing 100853, China (X.B., S.M.S., H.H.K.); Department of Radiology, First Medical Center, Chinese PLA General Hospital, Beijing, China (X.B., W.X., H.H.K., X.J.Z., H.Y.Y., H.Y.W.); Department of Health Service, Second Medical Center, Chinese PLA General Hospital, Beijing, China (S.M.S.); Department of Medical Statistic, Institute for Hospital Management Research, Chinese PLA General Hospital, Beijing, China (L.L.); Department of Radiology, Huaiyang County People's Hospital, Zhoukou, China (Y.Q.J.); Department of Radiology, Armed Police Corps Hospital of Henan Province, Zhengzhou, China (Q.G.L.G.); Department of Radiology, Zunhua Second Hospital, Zunhua, China (G.C.L.); Department of Radiology, Baoding Qingyuan District People's Hospital, Baoding, China (H.Y.L.); Department of Radiology, Beijing First Hospital of Integrated Chinese and Western Medicine, Beijing, China (L.L.L.); Department of Radiology, Seventh Medical Center, Chinese PLA General Hospital, Beijing, China (S.L.C.); Department of Radiology, The People's Hospital of Xishuangbanna Dai Nationality Autonomous Prefecture, Jinghong, China (Q.R.W.); Department of Radiology, First Affiliated Hospital of Hebei North University, Zhangjiakou, China (P.W.); Department of Pathology, First Medical Center, Chinese PLA General Hospital, Beijing, China (A.T.G.). Department of Urology, First Medical Center, Chinese PLA General Hospital, Beijing, China (Q.B.H.)
| | - Hong-Yan Liu
- From the Medical School of Chinese PLA, No. 28 Fuxing Rd, Haidian District, Beijing 100853, China (X.B., S.M.S., H.H.K.); Department of Radiology, First Medical Center, Chinese PLA General Hospital, Beijing, China (X.B., W.X., H.H.K., X.J.Z., H.Y.Y., H.Y.W.); Department of Health Service, Second Medical Center, Chinese PLA General Hospital, Beijing, China (S.M.S.); Department of Medical Statistic, Institute for Hospital Management Research, Chinese PLA General Hospital, Beijing, China (L.L.); Department of Radiology, Huaiyang County People's Hospital, Zhoukou, China (Y.Q.J.); Department of Radiology, Armed Police Corps Hospital of Henan Province, Zhengzhou, China (Q.G.L.G.); Department of Radiology, Zunhua Second Hospital, Zunhua, China (G.C.L.); Department of Radiology, Baoding Qingyuan District People's Hospital, Baoding, China (H.Y.L.); Department of Radiology, Beijing First Hospital of Integrated Chinese and Western Medicine, Beijing, China (L.L.L.); Department of Radiology, Seventh Medical Center, Chinese PLA General Hospital, Beijing, China (S.L.C.); Department of Radiology, The People's Hospital of Xishuangbanna Dai Nationality Autonomous Prefecture, Jinghong, China (Q.R.W.); Department of Radiology, First Affiliated Hospital of Hebei North University, Zhangjiakou, China (P.W.); Department of Pathology, First Medical Center, Chinese PLA General Hospital, Beijing, China (A.T.G.). Department of Urology, First Medical Center, Chinese PLA General Hospital, Beijing, China (Q.B.H.)
| | - Lin-Lin Liu
- From the Medical School of Chinese PLA, No. 28 Fuxing Rd, Haidian District, Beijing 100853, China (X.B., S.M.S., H.H.K.); Department of Radiology, First Medical Center, Chinese PLA General Hospital, Beijing, China (X.B., W.X., H.H.K., X.J.Z., H.Y.Y., H.Y.W.); Department of Health Service, Second Medical Center, Chinese PLA General Hospital, Beijing, China (S.M.S.); Department of Medical Statistic, Institute for Hospital Management Research, Chinese PLA General Hospital, Beijing, China (L.L.); Department of Radiology, Huaiyang County People's Hospital, Zhoukou, China (Y.Q.J.); Department of Radiology, Armed Police Corps Hospital of Henan Province, Zhengzhou, China (Q.G.L.G.); Department of Radiology, Zunhua Second Hospital, Zunhua, China (G.C.L.); Department of Radiology, Baoding Qingyuan District People's Hospital, Baoding, China (H.Y.L.); Department of Radiology, Beijing First Hospital of Integrated Chinese and Western Medicine, Beijing, China (L.L.L.); Department of Radiology, Seventh Medical Center, Chinese PLA General Hospital, Beijing, China (S.L.C.); Department of Radiology, The People's Hospital of Xishuangbanna Dai Nationality Autonomous Prefecture, Jinghong, China (Q.R.W.); Department of Radiology, First Affiliated Hospital of Hebei North University, Zhangjiakou, China (P.W.); Department of Pathology, First Medical Center, Chinese PLA General Hospital, Beijing, China (A.T.G.). Department of Urology, First Medical Center, Chinese PLA General Hospital, Beijing, China (Q.B.H.)
| | - Si-Lu Chen
- From the Medical School of Chinese PLA, No. 28 Fuxing Rd, Haidian District, Beijing 100853, China (X.B., S.M.S., H.H.K.); Department of Radiology, First Medical Center, Chinese PLA General Hospital, Beijing, China (X.B., W.X., H.H.K., X.J.Z., H.Y.Y., H.Y.W.); Department of Health Service, Second Medical Center, Chinese PLA General Hospital, Beijing, China (S.M.S.); Department of Medical Statistic, Institute for Hospital Management Research, Chinese PLA General Hospital, Beijing, China (L.L.); Department of Radiology, Huaiyang County People's Hospital, Zhoukou, China (Y.Q.J.); Department of Radiology, Armed Police Corps Hospital of Henan Province, Zhengzhou, China (Q.G.L.G.); Department of Radiology, Zunhua Second Hospital, Zunhua, China (G.C.L.); Department of Radiology, Baoding Qingyuan District People's Hospital, Baoding, China (H.Y.L.); Department of Radiology, Beijing First Hospital of Integrated Chinese and Western Medicine, Beijing, China (L.L.L.); Department of Radiology, Seventh Medical Center, Chinese PLA General Hospital, Beijing, China (S.L.C.); Department of Radiology, The People's Hospital of Xishuangbanna Dai Nationality Autonomous Prefecture, Jinghong, China (Q.R.W.); Department of Radiology, First Affiliated Hospital of Hebei North University, Zhangjiakou, China (P.W.); Department of Pathology, First Medical Center, Chinese PLA General Hospital, Beijing, China (A.T.G.). Department of Urology, First Medical Center, Chinese PLA General Hospital, Beijing, China (Q.B.H.)
| | - Qing-Rong Wang
- From the Medical School of Chinese PLA, No. 28 Fuxing Rd, Haidian District, Beijing 100853, China (X.B., S.M.S., H.H.K.); Department of Radiology, First Medical Center, Chinese PLA General Hospital, Beijing, China (X.B., W.X., H.H.K., X.J.Z., H.Y.Y., H.Y.W.); Department of Health Service, Second Medical Center, Chinese PLA General Hospital, Beijing, China (S.M.S.); Department of Medical Statistic, Institute for Hospital Management Research, Chinese PLA General Hospital, Beijing, China (L.L.); Department of Radiology, Huaiyang County People's Hospital, Zhoukou, China (Y.Q.J.); Department of Radiology, Armed Police Corps Hospital of Henan Province, Zhengzhou, China (Q.G.L.G.); Department of Radiology, Zunhua Second Hospital, Zunhua, China (G.C.L.); Department of Radiology, Baoding Qingyuan District People's Hospital, Baoding, China (H.Y.L.); Department of Radiology, Beijing First Hospital of Integrated Chinese and Western Medicine, Beijing, China (L.L.L.); Department of Radiology, Seventh Medical Center, Chinese PLA General Hospital, Beijing, China (S.L.C.); Department of Radiology, The People's Hospital of Xishuangbanna Dai Nationality Autonomous Prefecture, Jinghong, China (Q.R.W.); Department of Radiology, First Affiliated Hospital of Hebei North University, Zhangjiakou, China (P.W.); Department of Pathology, First Medical Center, Chinese PLA General Hospital, Beijing, China (A.T.G.). Department of Urology, First Medical Center, Chinese PLA General Hospital, Beijing, China (Q.B.H.)
| | - Peng Wu
- From the Medical School of Chinese PLA, No. 28 Fuxing Rd, Haidian District, Beijing 100853, China (X.B., S.M.S., H.H.K.); Department of Radiology, First Medical Center, Chinese PLA General Hospital, Beijing, China (X.B., W.X., H.H.K., X.J.Z., H.Y.Y., H.Y.W.); Department of Health Service, Second Medical Center, Chinese PLA General Hospital, Beijing, China (S.M.S.); Department of Medical Statistic, Institute for Hospital Management Research, Chinese PLA General Hospital, Beijing, China (L.L.); Department of Radiology, Huaiyang County People's Hospital, Zhoukou, China (Y.Q.J.); Department of Radiology, Armed Police Corps Hospital of Henan Province, Zhengzhou, China (Q.G.L.G.); Department of Radiology, Zunhua Second Hospital, Zunhua, China (G.C.L.); Department of Radiology, Baoding Qingyuan District People's Hospital, Baoding, China (H.Y.L.); Department of Radiology, Beijing First Hospital of Integrated Chinese and Western Medicine, Beijing, China (L.L.L.); Department of Radiology, Seventh Medical Center, Chinese PLA General Hospital, Beijing, China (S.L.C.); Department of Radiology, The People's Hospital of Xishuangbanna Dai Nationality Autonomous Prefecture, Jinghong, China (Q.R.W.); Department of Radiology, First Affiliated Hospital of Hebei North University, Zhangjiakou, China (P.W.); Department of Pathology, First Medical Center, Chinese PLA General Hospital, Beijing, China (A.T.G.). Department of Urology, First Medical Center, Chinese PLA General Hospital, Beijing, China (Q.B.H.)
| | - Ai-Tao Guo
- From the Medical School of Chinese PLA, No. 28 Fuxing Rd, Haidian District, Beijing 100853, China (X.B., S.M.S., H.H.K.); Department of Radiology, First Medical Center, Chinese PLA General Hospital, Beijing, China (X.B., W.X., H.H.K., X.J.Z., H.Y.Y., H.Y.W.); Department of Health Service, Second Medical Center, Chinese PLA General Hospital, Beijing, China (S.M.S.); Department of Medical Statistic, Institute for Hospital Management Research, Chinese PLA General Hospital, Beijing, China (L.L.); Department of Radiology, Huaiyang County People's Hospital, Zhoukou, China (Y.Q.J.); Department of Radiology, Armed Police Corps Hospital of Henan Province, Zhengzhou, China (Q.G.L.G.); Department of Radiology, Zunhua Second Hospital, Zunhua, China (G.C.L.); Department of Radiology, Baoding Qingyuan District People's Hospital, Baoding, China (H.Y.L.); Department of Radiology, Beijing First Hospital of Integrated Chinese and Western Medicine, Beijing, China (L.L.L.); Department of Radiology, Seventh Medical Center, Chinese PLA General Hospital, Beijing, China (S.L.C.); Department of Radiology, The People's Hospital of Xishuangbanna Dai Nationality Autonomous Prefecture, Jinghong, China (Q.R.W.); Department of Radiology, First Affiliated Hospital of Hebei North University, Zhangjiakou, China (P.W.); Department of Pathology, First Medical Center, Chinese PLA General Hospital, Beijing, China (A.T.G.). Department of Urology, First Medical Center, Chinese PLA General Hospital, Beijing, China (Q.B.H.)
| | - Qing-Bo Huang
- From the Medical School of Chinese PLA, No. 28 Fuxing Rd, Haidian District, Beijing 100853, China (X.B., S.M.S., H.H.K.); Department of Radiology, First Medical Center, Chinese PLA General Hospital, Beijing, China (X.B., W.X., H.H.K., X.J.Z., H.Y.Y., H.Y.W.); Department of Health Service, Second Medical Center, Chinese PLA General Hospital, Beijing, China (S.M.S.); Department of Medical Statistic, Institute for Hospital Management Research, Chinese PLA General Hospital, Beijing, China (L.L.); Department of Radiology, Huaiyang County People's Hospital, Zhoukou, China (Y.Q.J.); Department of Radiology, Armed Police Corps Hospital of Henan Province, Zhengzhou, China (Q.G.L.G.); Department of Radiology, Zunhua Second Hospital, Zunhua, China (G.C.L.); Department of Radiology, Baoding Qingyuan District People's Hospital, Baoding, China (H.Y.L.); Department of Radiology, Beijing First Hospital of Integrated Chinese and Western Medicine, Beijing, China (L.L.L.); Department of Radiology, Seventh Medical Center, Chinese PLA General Hospital, Beijing, China (S.L.C.); Department of Radiology, The People's Hospital of Xishuangbanna Dai Nationality Autonomous Prefecture, Jinghong, China (Q.R.W.); Department of Radiology, First Affiliated Hospital of Hebei North University, Zhangjiakou, China (P.W.); Department of Pathology, First Medical Center, Chinese PLA General Hospital, Beijing, China (A.T.G.). Department of Urology, First Medical Center, Chinese PLA General Hospital, Beijing, China (Q.B.H.)
| | - Xiao-Jing Zhang
- From the Medical School of Chinese PLA, No. 28 Fuxing Rd, Haidian District, Beijing 100853, China (X.B., S.M.S., H.H.K.); Department of Radiology, First Medical Center, Chinese PLA General Hospital, Beijing, China (X.B., W.X., H.H.K., X.J.Z., H.Y.Y., H.Y.W.); Department of Health Service, Second Medical Center, Chinese PLA General Hospital, Beijing, China (S.M.S.); Department of Medical Statistic, Institute for Hospital Management Research, Chinese PLA General Hospital, Beijing, China (L.L.); Department of Radiology, Huaiyang County People's Hospital, Zhoukou, China (Y.Q.J.); Department of Radiology, Armed Police Corps Hospital of Henan Province, Zhengzhou, China (Q.G.L.G.); Department of Radiology, Zunhua Second Hospital, Zunhua, China (G.C.L.); Department of Radiology, Baoding Qingyuan District People's Hospital, Baoding, China (H.Y.L.); Department of Radiology, Beijing First Hospital of Integrated Chinese and Western Medicine, Beijing, China (L.L.L.); Department of Radiology, Seventh Medical Center, Chinese PLA General Hospital, Beijing, China (S.L.C.); Department of Radiology, The People's Hospital of Xishuangbanna Dai Nationality Autonomous Prefecture, Jinghong, China (Q.R.W.); Department of Radiology, First Affiliated Hospital of Hebei North University, Zhangjiakou, China (P.W.); Department of Pathology, First Medical Center, Chinese PLA General Hospital, Beijing, China (A.T.G.). Department of Urology, First Medical Center, Chinese PLA General Hospital, Beijing, China (Q.B.H.)
| | - Hui-Yi Ye
- From the Medical School of Chinese PLA, No. 28 Fuxing Rd, Haidian District, Beijing 100853, China (X.B., S.M.S., H.H.K.); Department of Radiology, First Medical Center, Chinese PLA General Hospital, Beijing, China (X.B., W.X., H.H.K., X.J.Z., H.Y.Y., H.Y.W.); Department of Health Service, Second Medical Center, Chinese PLA General Hospital, Beijing, China (S.M.S.); Department of Medical Statistic, Institute for Hospital Management Research, Chinese PLA General Hospital, Beijing, China (L.L.); Department of Radiology, Huaiyang County People's Hospital, Zhoukou, China (Y.Q.J.); Department of Radiology, Armed Police Corps Hospital of Henan Province, Zhengzhou, China (Q.G.L.G.); Department of Radiology, Zunhua Second Hospital, Zunhua, China (G.C.L.); Department of Radiology, Baoding Qingyuan District People's Hospital, Baoding, China (H.Y.L.); Department of Radiology, Beijing First Hospital of Integrated Chinese and Western Medicine, Beijing, China (L.L.L.); Department of Radiology, Seventh Medical Center, Chinese PLA General Hospital, Beijing, China (S.L.C.); Department of Radiology, The People's Hospital of Xishuangbanna Dai Nationality Autonomous Prefecture, Jinghong, China (Q.R.W.); Department of Radiology, First Affiliated Hospital of Hebei North University, Zhangjiakou, China (P.W.); Department of Pathology, First Medical Center, Chinese PLA General Hospital, Beijing, China (A.T.G.). Department of Urology, First Medical Center, Chinese PLA General Hospital, Beijing, China (Q.B.H.)
| | - Hai-Yi Wang
- From the Medical School of Chinese PLA, No. 28 Fuxing Rd, Haidian District, Beijing 100853, China (X.B., S.M.S., H.H.K.); Department of Radiology, First Medical Center, Chinese PLA General Hospital, Beijing, China (X.B., W.X., H.H.K., X.J.Z., H.Y.Y., H.Y.W.); Department of Health Service, Second Medical Center, Chinese PLA General Hospital, Beijing, China (S.M.S.); Department of Medical Statistic, Institute for Hospital Management Research, Chinese PLA General Hospital, Beijing, China (L.L.); Department of Radiology, Huaiyang County People's Hospital, Zhoukou, China (Y.Q.J.); Department of Radiology, Armed Police Corps Hospital of Henan Province, Zhengzhou, China (Q.G.L.G.); Department of Radiology, Zunhua Second Hospital, Zunhua, China (G.C.L.); Department of Radiology, Baoding Qingyuan District People's Hospital, Baoding, China (H.Y.L.); Department of Radiology, Beijing First Hospital of Integrated Chinese and Western Medicine, Beijing, China (L.L.L.); Department of Radiology, Seventh Medical Center, Chinese PLA General Hospital, Beijing, China (S.L.C.); Department of Radiology, The People's Hospital of Xishuangbanna Dai Nationality Autonomous Prefecture, Jinghong, China (Q.R.W.); Department of Radiology, First Affiliated Hospital of Hebei North University, Zhangjiakou, China (P.W.); Department of Pathology, First Medical Center, Chinese PLA General Hospital, Beijing, China (A.T.G.). Department of Urology, First Medical Center, Chinese PLA General Hospital, Beijing, China (Q.B.H.)
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Pacheco EO, Torres US, Alves AMA, Bekhor D, D'Ippolito G. Bosniak classification of cystic renal masses version 2019 does not increase the interobserver agreement or the proportion of masses categorized into lower Bosniak classes for non-subspecialized readers on CT or MR. Eur J Radiol 2020; 131:109270. [PMID: 32947091 DOI: 10.1016/j.ejrad.2020.109270] [Citation(s) in RCA: 21] [Impact Index Per Article: 5.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/07/2020] [Revised: 08/31/2020] [Accepted: 09/04/2020] [Indexed: 11/26/2022]
Abstract
PURPOSE In a condition so prevalent as renal cysts, classifications should display satisfactory reproducibility not only among subspecialized readers. We aimed to compare the interobserver agreement of the Bosniak classification version 2019 (BC19) and current Bosniak classification (CBC) for non-subspecialized readers on CT and MRI and to verify whether BC19 leads to a downgrade of renal cystic masses when compared to CBC. METHODS We evaluated 50 renal cystic masses in 47 patients on MR and CT (25 per method). Eighteen readers (nine third-year radiology residents and nine abdominal imaging fellows) assessed the images using BC19 and CBC with an eight-week interval. Kappa statistic was used to assess agreement. An average score of Bosniak categories across all raters evaluated if there was downgrading of lesions on BC19. RESULTS The highest values of Kappa were found for fellows on CBC-MR (κ = 0.51), and the lowest values were found for residents on CBC-MR and fellows on BC19-MR (both κ = 0.36). On CBC, interobserver agreement was moderate for MR and CT (κ = 0.42 and 0.43, respectively), whereas on BC19, it was fair (κ = 0.38 and 0.40, respectively). The best agreements were in categories I (κ = 0.49-0.69) and IV (κ = 0.45-0.51). The poorest agreements occurred at IIF (κ = 0.18 on BC19-CT). There was a moderate median increase from CBC to BC19 in terms of Bosniak categories for both methods (MR [Z=-2.058, p = 0.040] and CT [Z=-2.509, p = 0.012]). CONCLUSION BC19, when compared to CBC, did not improve interobserver agreement nor diminished the proportion of masses categorized into lower Bosniak classes among non-subspecialized readers.
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Affiliation(s)
- Eduardo Oliveira Pacheco
- Hospital Sao Paulo, Universidade Federal de Sao Paulo (UNIFESP) - R. Botucatu, 740 - Vila Clementino, São Paulo, SP, 04023-062, Brazil.
| | - Ulysses S Torres
- Hospital Sao Paulo, Universidade Federal de Sao Paulo (UNIFESP) - R. Botucatu, 740 - Vila Clementino, São Paulo, SP, 04023-062, Brazil; Grupo Fleury - R. Cincinato Braga, 282 - Bela Vista, São Paulo, SP, 01333-910 Brazil
| | - Aldo Maurici Araújo Alves
- Hospital Sao Paulo, Universidade Federal de Sao Paulo (UNIFESP) - R. Botucatu, 740 - Vila Clementino, São Paulo, SP, 04023-062, Brazil
| | - Daniel Bekhor
- Hospital Sao Paulo, Universidade Federal de Sao Paulo (UNIFESP) - R. Botucatu, 740 - Vila Clementino, São Paulo, SP, 04023-062, Brazil
| | - Giuseppe D'Ippolito
- Hospital Sao Paulo, Universidade Federal de Sao Paulo (UNIFESP) - R. Botucatu, 740 - Vila Clementino, São Paulo, SP, 04023-062, Brazil; Grupo Fleury - R. Cincinato Braga, 282 - Bela Vista, São Paulo, SP, 01333-910 Brazil
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Lucocq J, Pillai S, Oparka R, Nabi G. Complex Renal Cysts (Bosniak ≥ IIF): Outcomes in a Population-Based Cohort Study. Cancers (Basel) 2020; 12:cancers12092549. [PMID: 32911632 PMCID: PMC7564964 DOI: 10.3390/cancers12092549] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/30/2020] [Revised: 08/19/2020] [Accepted: 09/03/2020] [Indexed: 11/16/2022] Open
Abstract
Simple Summary Researchers from the University of Dundee have found that not all kidney cancers will need urgent surgery. In a published research in the Cancers, Dr Lucocq et al have carefully established database record of patients with kidney cancer looking like water filled sacs on CT scan and reported that these cancers are low grade and perhaps less harmful on long-term follow-up. In fact, behaviour of these cancer cells is much slower compared to other diseases such as heart failure and high blood pressure. Most people die from chronic disease much before cancer spread or progression. The researchers in this group have shown that surgical removal of these cancers, particularly in elderly people and those with other health conditions such as heart failure may not be necessary. Patients in Tayside Urological Cancers (TUCAN) database were carefully assessed using CT scans and discussed in multidisciplinary meetings and were followed up for more than 6 years. This kind of population-based study adds new knowledge to the understanding behaviour of a subset kidney cancers which otherwise have very poor outcome. The researchers and paper highlight careful documentation of cohort to understand natural history of disease. Abstract There is emerging evidence to suggest that con-current medical conditions influence the outcome of cancers, irrespective of therapy offered. The prevalence and impact of co-morbidities on the survival outcome of complex renal cystic masses in not known. The objective was to study complex renal cysts (Bosniak ≥IIF
) and assess the overall and renal cancer-specific survival in a population-based database including impact of con-current morbidities. The Tayside Urological Cancer Network (TUCAN) database covering a stable population of more than 416,090 inhabitants in a defined geographical area identified 452 complex renal cysts in 415 patients between 2009 and 2019. Each patient was tracked and followed up using a unique identifier and deterministic linkage methodology. The last date of follow-up including cause of death was determined. Co-morbidities were recorded from primary care referrals. Renal cancer-specific mortality was 1.7% at a median follow-up of 76.0 months; however, overall survival was poor, particularly in patients ≥ 70 years of age and with ≥ 2 significant co-morbid conditions (p < 0.0001). A total of 38.3% of the cohort showed con-current morbidities. Age and co-morbidities were significant risk factors for overall survival in patients with complex renal cystic disease and a careful assessment should be made to recommend surgical intervention in the elderly population, in particular in those with other health-related conditions.
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Affiliation(s)
- James Lucocq
- Research Division of Imaging Sciences and Technology, School of Medicine, Ninewells Hospital and Medical School, Dundee DD19SY, UK
- Correspondence: ; Tel.: +44-7904625346
| | - Sanjay Pillai
- Department of Radiology, Ninewells Hospital and Medical School, Dundee DD19SY, UK;
| | - Richard Oparka
- Department of Pathology, Ninewells Hospital and Medical School, Dundee DD19SY, UK;
| | - Ghulam Nabi
- Research Division of Imaging Sciences and Technology, Ninewells Hospital and Medical School, Dundee DD19SY, UK;
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Lucocq J, Pillai S, Oparka R, Nabi G. Complex renal cysts (Bosniak ≥IIF): interobserver agreement, progression and malignancy rates. Eur Radiol 2020; 31:901-908. [PMID: 32851449 PMCID: PMC7813744 DOI: 10.1007/s00330-020-07186-w] [Citation(s) in RCA: 15] [Impact Index Per Article: 3.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/08/2020] [Revised: 06/25/2020] [Accepted: 08/12/2020] [Indexed: 01/06/2023]
Abstract
Objective The objective was to assess the interobserver agreement rate, progression rates and malignancy rates in the assessment of complex renal cysts (≥ Bosniak IIF) using a population-based database. Methods A regional database identified 452 complex renal cysts in 415 patients between 2009 and 2019. Each patient was tracked and followed up using a unique identifier and deterministic linkage methodology. The interobserver agreement rate between radiologists was calculated using a weighted kappa statistic. Progression and malignancy rates of cysts (Bosniak ≥IIF) over the 11-year period were calculated. Results The linear-weighted kappa value was 0.69 for all complex cysts. The rate of progression and regression of Bosniak IIF cysts was 4.6% (7/151) and 3.3% (5/151), respectively. All malignant IIF cysts progressed within 16 months of diagnosis. The malignancy rate of surgically resected Bosniak III and IV cysts was 79.3% (23/29) and 84.5% (39/46), respectively. Of all malignant tumours, 73.8% and 93.7% were of low ISUP grade and low stage, respectively. Conclusions This study further confirms that there is a good degree of agreement between radiologists in classifying complex renal masses using the Bosniak classification. The progression rate of Bosniak IIF cysts is low, but the malignancy rates of surgically resected Bosniak IIF, III and IV cysts are high. Benign cysts are frequently resected, and a very high proportion of histopathologically confirmed cancers in complex renal cysts are of low grade and stage. Key Points •There is a good degree of agreement between radiologists in classifying complex renal masses using the Bosniak classification. •The rate of progression of Bosniak IIF cysts is low, and malignant cysts progress early during surveillance. Although the malignancy rates of resected Bosniak IIF, III and IV cysts are high, the rate of benign cyst resection is significant. Electronic supplementary material The online version of this article (10.1007/s00330-020-07186-w) contains supplementary material, which is available to authorized users.
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Affiliation(s)
- James Lucocq
- Department of Urology, Research Division of Imaging Sciences and Technology, School of Medicine, Ninewells Hospital and Medical School, Dundee, Scotland, UK.
| | - Sanjay Pillai
- Department of Radiology, Research Division of Imaging Sciences and Technology, School of Medicine, Ninewells Hospital and Medical School, Dundee, Scotland, UK
| | - Richard Oparka
- Department of Pathology, Research Division of Imaging Sciences and Technology, School of Medicine, Ninewells Hospital and Medical School, Dundee, Scotland, UK
| | - Ghulam Nabi
- Department of Urology, Research Division of Imaging Sciences and Technology, School of Medicine, Ninewells Hospital and Medical School, Dundee, Scotland, UK
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50
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Contrast-Enhanced Ultrasound (CEUS) for Follow-Up of Bosniak 2F Complex Renal Cystic Lesions-A 12-Year Retrospective Study in a Specialized European Center. Cancers (Basel) 2020; 12:cancers12082170. [PMID: 32759819 PMCID: PMC7465614 DOI: 10.3390/cancers12082170] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/06/2020] [Revised: 07/28/2020] [Accepted: 08/03/2020] [Indexed: 02/07/2023] Open
Abstract
Bosniak 2F renal cystic lesions feature morphologic characteristics between Bosniak I and III categories, the majority of which remain benign. However, a minor part of Bosniak 2F lesions may progress to malignancy. The purpose of this study was to assess Bosniak 2F cystic lesions during follow-up examinations by CEUS. One-hundred-and-twelve out of 364 patients with Bosniak 2F lesions underwent follow-up CEUS examinations between February 2008 and February 2020. Twelve out of 364 patients underwent renal surgery without follow-up CEUS. The progression rate of Bosniak 2F renal lesions detected by CEUS accounted for 7.1% (8/112 patients) after a mean of 12.9 months. The first follow-up CEUS revealed 75% of progressions (6/8), the remaining 25% (2/8) of progressions were detected during second follow-up CEUS. Underlying clear-cell renal cell carcinoma was histopathologically validated in 5/8 progressive complex cystic renal lesions. Stable sonomorphologic features were observed in 92.1% (104/112 patients). CEUS depicts a promising diagnostic imaging modality in the diagnostic work-up and follow-up of complex renal cystic lesions at higher spatial and temporal resolutions than CT or MRI. Its excellent safety profile, its easy and repeatable accessibility, and low financial costs render CEUS an attractive and powerful alternative imaging tool for monitoring complex renal cystic lesions.
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