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Dev R, Chauhan U, Nandolia KK. Multifaceted Imaging of Renal Lesions With an Emphasis on Cross-Sectional Imaging. Cureus 2024; 16:e59956. [PMID: 38854236 PMCID: PMC11161908 DOI: 10.7759/cureus.59956] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 05/09/2024] [Indexed: 06/11/2024] Open
Abstract
Introduction Renal lesions are common findings encountered in cross-sectional imaging. Ultrasonography (USG), computed tomography (CT), and magnetic resonance imaging (MRI) are available modalities for evaluating renal lesions. The Bosniak classification system aids in classifying a renal lesion into a particular category based on various imaging characteristics on contrast-enhanced CT (CECT). Materials and methods The CT report archives were searched for the keyword 'Bosniak' lesions, and six illustrative cases were selected to be included in the review. Results Six cases under Bosniak categories I to IV were included in the review. Operative follow-ups were added in cases where patients underwent surgery. Discussion We have reviewed the imaging features of various renal lesions with cross-sectional modalities, namely CT and MRI, with special emphasis on the Bosniak classification system, including its amendments. Conclusion The Bosniak system is widely used to classify and characterize renal lesions. The authors have presented a scoping review of the features of renal lesions and the Bosniak system.
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Affiliation(s)
- Rahul Dev
- Diagnostic and Intervention Radiology, All India Institute of Medical Sciences, Rishikesh, IND
| | - Udit Chauhan
- Diagnostic and Intervention Radiology, All India Institute of Medical Sciences, Rishikesh, IND
| | - Khanak K Nandolia
- Diagnostic and Intervention Radiology, All India Institute of Medical Sciences, Rishikesh, IND
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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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Aymerich M, Riveira-Martín M, García-Baizán A, González-Pena M, Sebastià C, López-Medina A, Mesa-Álvarez A, Tardágila de la Fuente G, Méndez-Castrillón M, Berbel-Rodríguez A, Matos-Ugas AC, Berenguer R, Sabater S, Otero-García M. Pilot Study for the Assessment of the Best Radiomic Features for Bosniak Cyst Classification Using Phantom and Radiologist Inter-Observer Selection. Diagnostics (Basel) 2023; 13:diagnostics13081384. [PMID: 37189486 DOI: 10.3390/diagnostics13081384] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/08/2023] [Revised: 04/05/2023] [Accepted: 04/09/2023] [Indexed: 05/17/2023] Open
Abstract
Since the Bosniak cysts classification is highly reader-dependent, automated tools based on radiomics could help in the diagnosis of the lesion. This study is an initial step in the search for radiomic features that may be good classifiers of benign-malignant Bosniak cysts in machine learning models. A CCR phantom was used through five CT scanners. Registration was performed with ARIA software, while Quibim Precision was used for feature extraction. R software was used for the statistical analysis. Robust radiomic features based on repeatability and reproducibility criteria were chosen. Excellent correlation criteria between different radiologists during lesion segmentation were imposed. With the selected features, their classification ability in benignity-malignity terms was assessed. From the phantom study, 25.3% of the features were robust. For the study of inter-observer correlation (ICC) in the segmentation of cystic masses, 82 subjects were prospectively selected, finding 48.4% of the features as excellent regarding concordance. Comparing both datasets, 12 features were established as repeatable, reproducible, and useful for the classification of Bosniak cysts and could serve as initial candidates for the elaboration of a classification model. With those features, the Linear Discriminant Analysis model classified the Bosniak cysts in terms of benignity or malignancy with 88.2% accuracy.
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Affiliation(s)
- María Aymerich
- Diagnostic Imaging Research Group, Galicia Sur Health Research Institute, Hospital Álvaro Cunqueiro, 36312 Vigo, Spain
| | - Mercedes Riveira-Martín
- Medical Physics Research Group, Galicia Sur Health Research Institute, Hospital Álvaro Cunqueiro, 36312 Vigo, Spain
| | - Alejandra García-Baizán
- Diagnostic Imaging Research Group, Galicia Sur Health Research Institute, Hospital Álvaro Cunqueiro, 36312 Vigo, Spain
- Radiology Department, Hospital Álvaro Cunqueiro, 36312 Vigo, Spain
| | - Mariña González-Pena
- Diagnostic Imaging Research Group, Galicia Sur Health Research Institute, Hospital Álvaro Cunqueiro, 36312 Vigo, Spain
| | - Carmen Sebastià
- Centre de Diagnòstic per la Imatge Clínic, Hospital Clínic de Barcelona, 08036 Barcelona, Spain
| | - Antonio López-Medina
- Medical Physics Research Group, Galicia Sur Health Research Institute, Hospital Álvaro Cunqueiro, 36312 Vigo, Spain
- Radiophysics Department, Hospital do Meixoeiro, 36214 Vigo, Spain
| | - Alicia Mesa-Álvarez
- Radiology Department, Hospital Universitario Central de Asturias, 33011 Oviedo, Spain
| | | | - Marta Méndez-Castrillón
- Diagnostic Imaging Research Group, Galicia Sur Health Research Institute, Hospital Álvaro Cunqueiro, 36312 Vigo, Spain
- Radiology Department, Hospital Álvaro Cunqueiro, 36312 Vigo, Spain
| | - Andrea Berbel-Rodríguez
- Diagnostic Imaging Research Group, Galicia Sur Health Research Institute, Hospital Álvaro Cunqueiro, 36312 Vigo, Spain
- Radiology Department, Hospital Álvaro Cunqueiro, 36312 Vigo, Spain
| | - Alejandra C Matos-Ugas
- Diagnostic Imaging Research Group, Galicia Sur Health Research Institute, Hospital Álvaro Cunqueiro, 36312 Vigo, Spain
- Radiology Department, Hospital Álvaro Cunqueiro, 36312 Vigo, Spain
| | - Roberto Berenguer
- Radiation Oncology, Complejo Hospitalario Universitario de Albacete, 02006 Albacete, Spain
| | - Sebastià Sabater
- Radiation Oncology, Complejo Hospitalario Universitario de Albacete, 02006 Albacete, Spain
| | - Milagros Otero-García
- Diagnostic Imaging Research Group, Galicia Sur Health Research Institute, Hospital Álvaro Cunqueiro, 36312 Vigo, Spain
- Radiology Department, Hospital Álvaro Cunqueiro, 36312 Vigo, Spain
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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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Chandrasekar T, Clark CB, Gomella A, Wessner CE, Wang S, Nam K, Liu JB, Forsberg F, Lyshchik A, Halpern E, Mark JR, Lallas CD, Gomella LG, Kania L, Trabulsi EJ, Eisenbrey JR. Volumetric Quantitative Contrast-enhanced Ultrasonography Evaluation of Complex Renal Cysts: An Adjunctive Metric to the Bosniak Classification System to Predict Malignancy. Eur Urol Focus 2022; 9:336-344. [PMID: 36319560 DOI: 10.1016/j.euf.2022.10.004] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/29/2022] [Revised: 09/21/2022] [Accepted: 10/05/2022] [Indexed: 11/04/2022]
Abstract
BACKGROUND Management of complex renal cysts is guided by the Bosniak classification system, which may be inadequate for risk stratification of patients for intervention. Fractional tumor vascularity (FV) calculated from volumetric contrast-enhanced ultrasound (CEUS) images may provide additional useful information. OBJECTIVE To evaluate CEUS and FV calculation for risk stratification of patients with complex renal cysts. DESIGN, SETTING, AND PARTICIPANTS This was a pilot prospective study with institutional review board approval involving patients undergoing surgery for Bosniak IIF-IV complex renal cysts. CEUS was performed preoperatively on the day of surgery with two-dimensional (2D) and three-dimensional (3D) imaging and sulfur hexafluoride lipid-type A microspheres as the ultrasound contrast agent. OUTCOME MEASUREMENTS AND STATISTICAL ANALYSIS A custom MATLAB program was used to select regions of interest on CEUS scans. FV was calculated according to FV = 1 - (total nonenhancing area/total lesion area). We assessed the ability of 2D- and 3D-derived percentage FV (2DFV%, and 3DFV%) and Bosniak classification schemes (pre-2019 [P2019B] and post-2019 [B2019]) to predict malignancy, aggressive histology, and upstaging on surgical pathology. Performance was assessed as area under the receiver operating characteristic curve (AUC). RESULTS AND LIMITATIONS Twenty eligible patients were included in final analysis, of whom 85% (n = 17) had Bosniak IV cysts and 85% (n = 17) had malignant disease on final pathology. Four (24%) of the malignant lesions were International Society of Urological Pathology grade 3-4. The AUC for predicting malignancy was 0.980, 0.824, 0.863, and 0.824 with P2019B, B2019, 2DFV%, and 3DFV%, respectively. When the Bosniak classification was combined with FV%, three models had an AUC of 1, while the combined 2DFV% + B2019 model had AUC of 0.980. CONCLUSIONS FV is a novel metric for evaluating complex cystic renal masses and enhances the ability of the Bosniak classification system to predict malignancy. This metric may serve as an adjunct in risk stratification for surgical intervention. Further prospective evaluation is warranted. PATIENT SUMMARY Cysts in the kidney are currently classified using a scheme called the Bosniak system. We assessed measurement of the percentage of vascular tissue (called fractional vascularity) in cysts on a special type of ultrasound scan. This promising test adds information when combined with the Bosniak system and can help in guiding appropriate treatment.
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Luomala L, Rautiola J, Järvinen P, Mirtti T, Nisén H. Active surveillance versus initial surgery in the long-term management of Bosniak IIF-IV cystic renal masses. Sci Rep 2022; 12:10184. [PMID: 35715428 PMCID: PMC9205856 DOI: 10.1038/s41598-022-14056-6] [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: 11/01/2021] [Accepted: 05/31/2022] [Indexed: 11/09/2022] Open
Abstract
There may be surgical overtreatment of complex cystic renal masses (CRM). Growing evidence supports active surveillance (AS) for the management for Bosniak IIF-III CRMs. We aimed to evaluate and compare oncological and pathological outcomes of Bosniak IIF-IV CRMs treated by initial surgery (IS) or AS. We identified retrospectively 532 patients with CRM counseled during 2006-2017. IS and AS were delivered to, respectively, 1 and 286 patients in Bosniak IIF, to 54 and 85 patients in III and to 85 and 21 patients in Bosniak IV. Median follow-up was 66 months (IQR 50-96). Metastatic progression occurred for 1 (0.3%) AS patient in Bosniak IIF, 1 IS (1.8%) and 1 AS (1.2%) patient in Bosniak III and 5 IS (3.5%) patients in Bosniak IV, respectively. Overall 5-year metastasis-free survival was 98.9% and cancer-specific survival was 99.6% without statistically significant difference between IS and AS in Bosniak IIF-IV categories. AS did not increase the risk of metastatic spread or cancer-specific mortality in patients with Bosniak IIF-IV. Our data indicate AS in Bosniak IIF and III is safe. Surgery is the primary treatment for Bosniak IV due to its high malignancy rate.
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Affiliation(s)
- Lassi Luomala
- Department of Urology, Helsinki University Hospital and University of Helsinki, Helsinki, Finland.
| | - Juhana Rautiola
- Department of Urology, Helsinki University Hospital and University of Helsinki, Helsinki, Finland
| | - Petrus Järvinen
- Department of Urology, Helsinki University Hospital and University of Helsinki, Helsinki, Finland
| | - Tuomas Mirtti
- HUSLAB Laboratory Services and Research Program in Systemic Oncology, Diagnostic Center, Helsinki University Hospital and University of Helsinki, Helsinki, Finland.,Research Program in Systemic Oncology, University of Helsinki, Helsinki, Finland
| | - Harry Nisén
- Department of Urology, Helsinki University Hospital and University of Helsinki, Helsinki, Finland
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Growth Kinetics and Progression Rate of Bosniak Classification, Version 2019 III and IV Cystic Renal Masses on Imaging Surveillance. AJR Am J Roentgenol 2022; 219:244-253. [PMID: 35293234 DOI: 10.2214/ajr.22.27400] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/18/2022]
Abstract
Background: Active surveillance is increasingly used as first-line management for localized renal masses. Triggers for intervention primarily reflect growth kinetics, which are poorly investigated for cystic masses defined by Bosniak classification version 2019 (v2019). Objective: To determine growth kinetics and incidence rates of progression of class III and IV cystic renal masses, as defined by Bosniak classification v2019. Methods: This retrospective study included 105 patients (68 men, 37 women; median age, 67 years) with 112 Bosniak v2019 class III or IV cystic renal masses on baseline renal-mass protocol CT or MRI examinations from January 2005 to September 2021. Mass dimensions were measured. Progression was defined as any of: linear growth rate (LGR) ≥5 mm per year (representing clinical guideline threshold for intervention), volume doubling time <1 year, T category increase, or N1 or M1 disease. Class III and IV masses were compared. Time-to-progression was estimated using Kaplan-Meier curve analysis. Results: At baseline, 58 masses were class III and 54 were class IV. Median follow-up was 406 days. Median LGR was for class III masses 0.0 mm per year [interquartile range (IQR) -1.3 to 1.8] and for class IV masses 2.3 mm per year (IQR 0.0¬¬-5.7) (p<.001). LGR exceeded 5 mm per year in 4 (7%) class 3 masses and 15 (28%) class IV masses (p=.005). Two patients, both with class IV masses, developed distant metastases. Incidence rate of progression was for class III masses 11.0 (95% CI 4.5-22.8) and for class IV masses 73.6 (95% CI 47.8-108.7) per 100,000 person-days of follow-up. Median time-to-progression was undefined for class III mases given small number of progression events and 710 days for class IV masses. Hazard ratio of progression for class IV relative to class III masses was 5.1 (95% CI 2.5-10.8) (p<.001). Conclusion: During active surveillance of cystic masses evaluated using Bosniak classification v2019, class IV masses grew faster and were more likely to progress than class III masses. Clinical Impact: In comparison with current active surveillance guidelines that treat class III and IV masses similarly, future iterations may incorporate relatively more intensive surveillance for class IV masses.
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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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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] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [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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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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Elbanna KY, Jang HJ, Kim TK, Khalili K, Guimarães LS, Atri M. The added value of contrast-enhanced ultrasound in evaluation of indeterminate small solid renal masses and risk stratification of cystic renal lesions. Eur Radiol 2021; 31:8468-8477. [PMID: 33912992 DOI: 10.1007/s00330-021-07964-0] [Citation(s) in RCA: 11] [Impact Index Per Article: 3.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/12/2020] [Revised: 02/09/2021] [Accepted: 03/29/2021] [Indexed: 11/25/2022]
Abstract
OBJECTIVES To investigate accuracy of contrast-enhanced ultrasound (CEUS) to characterize indeterminate small solid renal masses (sSRMs), excluding lipid-rich AMLs, and cystic renal masses (CRMs) according to the proposed Bosniak Classification 2019 MATERIALS AND METHODS: CEUS of pathology-proven CRMs and sSRMs (without definite enhancement or macroscopic fat on CT/MRI), and CRMs with ≥18 months follow-up were retrospectively reviewed. Two radiologists blindly categorized CRMs according to new Bosniak Classification on CT/MRI. On CEUS, two other radiologists evaluated arterial-phase enhancement of sSRMs relative to renal cortex and categorized CRMs following new Bosniak Classification. Fisher's exact/chi-squared test was used to compare categorical variables, and Cohen κ statistics for inter-observer agreement RESULTS: A total of 237 patients had 241 lesions: 161 pathology-proven sSRMs (122 malignant and 39 benign), 29 pathology-proven CRMs, 51 CRMs with adequate follow-up. Arterial-phase enhancement < renal cortex predicted malignancy with specificity of 97.4% (38/39) (CI 85.6-99.9%), and positive predictive value (PPV) of 98.2% (54/55) (CI 90.4-99.9%). Inter-observer kappa was 0.95. In pathology-proven CRMS, sensitivity of CEUS vs CT/MRI was 100% (15/15) (CI 79.6-100%) vs 60% (9/15) (CI 35.8-80.1%) (p value = .002) and negative predictive value (NPV) 100% (2/2) (CI 17.8-100%) vs 25% (2/8 ) (CI 4.4-59.1%) (p value < 0.0001), with similar specificity (50%) and PPV- 88.2% (15/17) (CI 65.7-97.9%) vs 81.8% (9/11) (CI 52.3-96.8%) ( p value = 0.586). Bosniak Classification inter-observer kappa was 0.92 for CEUS vs 0.68 for CT/MRI (p value = 0.009). CONCLUSION In our cohort, CEUS had high specificity and PPV to diagnose RCC in sSRMs excluding lipid-rich AML. CEUS had significantly higher sensitivity/NPV to diagnose malignancy in CRMs as compared to CT/MRI. KEY POINTS • Once lipid-rich AML is excluded by the other modalities, sSRM arterial phase hypo-enhancement relative to renal cortex on CEUS yielded high specificity (97.4%) and PPV (98.2%) to diagnose RCC. • When applying the proposed Bosniak Classification 2019, CEUS showed higher sensitivity compared to CT/MRI (100% vs 60%), p value=.0024, in the stratification of cystic renal masses to diagnose malignancy. • CEUS may reduce the number of CT/MRI Bosniak IIF lesions by assigning them to either II or III/IV categories.
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Affiliation(s)
- Khaled Y Elbanna
- Toronto Joint Department of Medical Imaging, University Health Network, Sinai Health System and Women's College Hospital, University of Toronto, Toronto, ON, Canada
| | - Hyun-Jung Jang
- Toronto Joint Department of Medical Imaging, University Health Network, Sinai Health System and Women's College Hospital, University of Toronto, Toronto, ON, Canada
| | - Tae Kyoung Kim
- Toronto Joint Department of Medical Imaging, University Health Network, Sinai Health System and Women's College Hospital, University of Toronto, Toronto, ON, Canada
| | - Korosh Khalili
- Toronto Joint Department of Medical Imaging, University Health Network, Sinai Health System and Women's College Hospital, University of Toronto, Toronto, ON, Canada
| | - Luís S Guimarães
- Toronto Joint Department of Medical Imaging, University Health Network, Sinai Health System and Women's College Hospital, University of Toronto, Toronto, ON, Canada
| | - Mostafa Atri
- Toronto Joint Department of Medical Imaging, University Health Network, Sinai Health System and Women's College Hospital, University of Toronto, Toronto, ON, Canada.
- Department of Medical Imaging, Toronto General Hospital, University of Toronto, 585 University Avenue, Toronto, ON M5G 2N2, Canada.
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Nicolau C, Antunes N, Paño B, Sebastia C. Imaging Characterization of Renal Masses. ACTA ACUST UNITED AC 2021; 57:medicina57010051. [PMID: 33435540 PMCID: PMC7827903 DOI: 10.3390/medicina57010051] [Citation(s) in RCA: 25] [Impact Index Per Article: 8.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/03/2020] [Revised: 12/28/2020] [Accepted: 01/04/2021] [Indexed: 01/10/2023]
Abstract
The detection of a renal mass is a relatively frequent occurrence in the daily practice of any Radiology Department. The diagnostic approaches depend on whether the lesion is cystic or solid. Cystic lesions can be managed using the Bosniak classification, while management of solid lesions depends on whether the lesion is well-defined or infiltrative. The approach to well-defined lesions focuses mainly on the differentiation between renal cancer and benign tumors such as angiomyolipoma (AML) and oncocytoma. Differential diagnosis of infiltrative lesions is wider, including primary and secondary malignancies and inflammatory disease, and knowledge of the patient history is essential. Radiologists may establish a possible differential diagnosis based on the imaging features of the renal masses and the clinical history. The aim of this review is to present the contribution of the different imaging techniques and image guided biopsies in the diagnostic management of cystic and solid renal lesions.
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Affiliation(s)
- Carlos Nicolau
- Radiology Department, Hospital Clinic, University of Barcelona (UB), 08036 Barcelona, Spain; (B.P.); (C.S.)
- Correspondence:
| | - Natalie Antunes
- Radiology Department, Hospital de Santa Marta, 1169-024 Lisboa, Portugal;
| | - Blanca Paño
- Radiology Department, Hospital Clinic, University of Barcelona (UB), 08036 Barcelona, Spain; (B.P.); (C.S.)
| | - Carmen Sebastia
- Radiology Department, Hospital Clinic, University of Barcelona (UB), 08036 Barcelona, Spain; (B.P.); (C.S.)
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Sefik E, Bozkurt IH, Oguzdogan GY, Çelik S, Basmaci I, Gorgel SN, Aydin E, Adibelli ZH, Vardar E, Gunlusoy B, Degirmenci T. Predictive Value of Additional Clinical and Radiological Parameters for Discrimination of Malignancy in Bosniak 3 Cysts. Urol Int 2020; 105:118-123. [PMID: 33242872 DOI: 10.1159/000510243] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/06/2020] [Accepted: 07/16/2020] [Indexed: 11/19/2022]
Abstract
INTRODUCTION Almost half of the cystic renal lesions are still overdiagnosed and overtreated. New clinical and radiological parameters are needed to distinguish the malignant Bosniak 3 lesions from the benign ones. We aimed to evaluate the clinical and radiological parameters that may be related to malignancy risk for Bosniak category 3 renal cysts. MATERIALS AND METHODS Patients who underwent surgical resection of a histopathologically confirmed Bosniak 3 renal cyst between March 2007 and September 2019 were evaluated. Two experienced uro-radiologists have reevaluated the last preoperative computed tomography and/or MRI images of the patients and reclassified the lesions according to the Bosniak classification. They also reported cystic features such as nodularity, septation, focal thickening, enhancement, and calcification. Clinical, pathological, and oncological outcomes were recorded. Then patients were divided into 2 groups as Group 1 (benign pathology) and Group 2 (malignant pathology) according to final histopathological report. RESULTS A total of 79 patients were included in this study. Mean follow-up time was 47 ± 34 months. There were 30 patients in Group 1 and 49 patients in Group 2. Hypertension (p = 0.001) and smoking history (p = 0.008) were more common in malignant group. Among the radiological findings, lower tumor diameter (p = 0.024), presence of cyst wall enhancement (p = 0.025), presence of nodularity (p = 0.002), and presence of focal thickening (p = 0.031) were found to be statistically significant for malignancy. Most of the tumors were at pathological T1 stage and Fuhrmann Grade 1-2. Only nodularity was found to be independent predictive factor for malignancy in multivariate analysis. CONCLUSION Clinical factors including hypertension and smoking, radiological factors including lower lesion size, cyst wall enhancement, nodularity, and focal thickening were predictors for malignancy of Bosniak 3 cysts.
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Affiliation(s)
- Ertugrul Sefik
- Department of Urology, Health Sciences University, Bozyaka Training and Research Hospital, Izmir, Turkey,
| | - Ibrahim Halil Bozkurt
- Department of Urology, Health Sciences University, Bozyaka Training and Research Hospital, Izmir, Turkey
| | - Gulsen Yucel Oguzdogan
- Department of Radiology, Health Sciences University, Bozyaka Training and Research Hospital, Izmir, Turkey
| | - Serdar Çelik
- Department of Urology, Health Sciences University, Bozyaka Training and Research Hospital, Izmir, Turkey
| | - Ismail Basmaci
- Department of Urology, Health Sciences University, Bozyaka Training and Research Hospital, Izmir, Turkey
| | | | - Erhan Aydin
- Department of Urology, Health Sciences University, Bozyaka Training and Research Hospital, Izmir, Turkey
| | - Zehra Hilal Adibelli
- Department of Radiology, Health Sciences University, Bozyaka Training and Research Hospital, Izmir, Turkey
| | - Enver Vardar
- Department of Pathology, Bozyaka Training and Research Hospital, Health Sciences University, Izmir, Turkey
| | - Bulent Gunlusoy
- Department of Urology, Health Sciences University, Bozyaka Training and Research Hospital, Izmir, Turkey
| | - Tansu Degirmenci
- Department of Urology, Health Sciences University, Bozyaka Training and Research Hospital, Izmir, Turkey
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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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Sebastià C, Corominas D, Musquera M, Paño B, Ajami T, Nicolau C. Active surveillance of small renal masses. Insights Imaging 2020; 11:63. [PMID: 32372194 PMCID: PMC7200970 DOI: 10.1186/s13244-020-00853-y] [Citation(s) in RCA: 18] [Impact Index Per Article: 4.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/25/2019] [Accepted: 03/02/2020] [Indexed: 12/15/2022] Open
Abstract
Most renal masses incidentally detected by cross-sectional images are benign, being mainly cysts, and if they are malignant, they are indolent in nature with limited metastatic potential. Enhanced renal masses less than 4 cm in size are known as small renal masses (SRMs), and their growth rate (GR) and the possibility of developing metastasis are extremely low. Delayed intervention of SRMs by closed and routine imaging follow-up known as active surveillance (AS) is now an option according to urological guidelines. Radiologists have a key position in AS management of SRMs even unifocal and multifocal (sporadic or associated with genetic syndromes) and also in the follow-up of complex renal cysts by Bosniak cyst classification system. Radiologists play a key role in the AS of both unifocal and multifocal (sporadic or associated with genetic syndromes) SRMs as well as in the follow-up of complex renal cysts using the Bosniak cyst classification system. Indeed, radiologists must determine which patients with SRMs or complex renal cysts can be included in AS, establish the follow-up radiological test algorithm to be used in different scenarios, perform measurements in follow-up tests, and decide when AS should be discontinued. The purpose of this article is to review the indications and management of AS in SRMs, especially focused on specific scenarios, such as complex renal cysts and multifocal renal tumors (sporadic or hereditary). In this work, the authors aimed to provide a thorough review of imaging in the context of active surveillance of renal masses.
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Affiliation(s)
- Carmen Sebastià
- Radiology Department, CDIC, Hospital Clínic de Barcelona, C/Villaroel no. 170, 08036, Barcelona, Spain
| | - Daniel Corominas
- Radiology Department, CDIC, Hospital Clínic de Barcelona, C/Villaroel no. 170, 08036, Barcelona, Spain.
| | - Mireia Musquera
- Urology Department, ICNU, Hospital Clínic de Barcelona, C/Villaroel no. 170, 08036, Barcelona, Spain
| | - Blanca Paño
- Radiology Department, CDIC, Hospital Clínic de Barcelona, C/Villaroel no. 170, 08036, Barcelona, Spain
| | - Tarek Ajami
- Urology Department, ICNU, Hospital Clínic de Barcelona, C/Villaroel no. 170, 08036, Barcelona, Spain
| | - Carlos Nicolau
- Radiology Department, CDIC, Hospital Clínic de Barcelona, C/Villaroel no. 170, 08036, Barcelona, Spain
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Couture F, Finelli A, Tétu A, Bhindi B, Breau RH, Kapoor A, Kassouf W, Lavallée L, Tanguay S, Violette PD, Richard PO. Management of complex renal cysts in Canada: results of a survey study. BMC Urol 2020; 20:47. [PMID: 32345268 PMCID: PMC7189683 DOI: 10.1186/s12894-020-00614-5] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/16/2020] [Accepted: 04/13/2020] [Indexed: 11/10/2022] Open
Abstract
Background Bosniak III and IV cysts have a high risk of malignancy and have traditionally been managed surgically. However, growing evidence suggests that many can be managed by active surveillance. The main objective of this study was to characterize the use of surveillance in the management of complex renal cysts. Methods A web-based survey was sent to all registered, active members of the Canadian Urological Association (N = 583) in October 2018. Results The survey response rate was 24.7%. Management of Bosniak III cysts varied considerably. A large proportion of respondents (33.1%) offered active surveillance in > 50% of cases. Only 13.7% of respondents reported never or rarely (< 5% of cases) offering surveillance. In contrast, for Bosniak IV cysts, 60.1% of urologists never or rarely offered surveillance, while only 10.1% offer it in > 50% of cases. A significantly greater proportion of academic urologists, compared to non-academic urologists, viewed surveillance as a management option for patients with a Bosniak III or IV cyst. The most commonly reported barriers to a greater adoption of surveillance were concerns regarding its oncologic safety, the lack of data to support surveillance in this population, and the lack of triggers for discontinuation of active surveillance and intervention. Conclusions Despite active surveillance being included as a management option in guidelines, many Canadian urologists are reluctant to offer surveillance to patients with Bosniak III or IV cysts. Practice patterns are heterogeneous among those offering surveillance. High-quality studies are required to better define the benefits and risks of cystic renal mass surveillance.
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Affiliation(s)
- Félix Couture
- Division of Urology, Department of Surgery, Centre Hospitalier Universitaire de Sherbrooke, 3001, 12e avenue N, Sherbrooke, Quebec, J1H 5N4, Canada
| | - Antonio Finelli
- Division of Urology, Department of Surgery, Princess Margaret Cancer Centre, University Health Network and the University of Toronto, Toronto, Canada
| | - Amélie Tétu
- Unité de recherche clinique et épidémiologique, Centre de Recherche, Centre Hospitalier Universitaire de Sherbrooke, Sherbrooke, Canada
| | - Bimal Bhindi
- Division of Urology, Department of Surgery, Southern Alberta Institute of Urology, Calgary, Canada
| | - Rodney H Breau
- Division of Urology, Department of Surgery, Ottawa Hospital, Ottawa Hospital Research Institute and University of Ottawa, Ottawa, Canada
| | - Anil Kapoor
- Division of Urology, Department of Surgery, Juravinski Hospital, St. Joseph Healthcare, McMaster University, Hamilton, Canada
| | - Wassim Kassouf
- Division of Urology, Department of Surgery, McGill University Health Centre, McGill University, Montreal, Canada
| | - Luke Lavallée
- Division of Urology, Department of Surgery, Ottawa Hospital, Ottawa Hospital Research Institute and University of Ottawa, Ottawa, Canada
| | - Simon Tanguay
- Division of Urology, Department of Surgery, McGill University Health Centre, McGill University, Montreal, Canada
| | - Philippe D Violette
- Division of Urology, Department of Surgery, Woodstock Hospital, Woodstock, Canada
| | - Patrick O Richard
- Division of Urology, Department of Surgery, Centre Hospitalier Universitaire de Sherbrooke, 3001, 12e avenue N, Sherbrooke, Quebec, J1H 5N4, Canada.
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Active Surveillance of Small (< 4 cm) Bosniak Category 2F, 3, and 4 Renal Lesions: What Happens on Imaging Follow-Up? AJR Am J Roentgenol 2019; 212:1215-1222. [PMID: 30860891 DOI: 10.2214/ajr.18.20758] [Citation(s) in RCA: 13] [Impact Index Per Article: 2.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/21/2022]
Abstract
OBJECTIVE. The purpose of this study was to determine the percentage of small (< 4 cm) Bosniak category 2F, 3, and 4 lesions that regress during active surveillance. MATERIALS AND METHODS. In this retrospective study, a hospital database was searched from January 1, 2005, through September 9, 2017, for small (< 4 cm) Bosniak category 2F, 3, and 4 lesions studied with initial and follow-up unenhanced and contrast-enhanced CT or MRI. Prospective Bosniak categories were recorded. Two blinded radiologists retrospectively reassigned Bosniak categories to the initial and last follow-up studies. Interreader variability was analyzed. Rates of stability, regression, and progression were calculated and stratified by size. Logistic regression was used to assess the effects of lesion size, lesion growth, and duration of follow-up on the change in Bosniak categories. RESULTS. The search identified 123 patients (85 men, 38 women) with 138 renal lesions (according to the blinded readings, 83 Bosniak category 2F, 37 category 3, and 18 category 4) and followed for 1-12.3 years (median, 2.7 years). Fifty-one percent (70/138) of the lesions were smaller than 2 cm. Eighty-eight percent (73/83) of category 2F lesions were downgraded or remained stable. Forty-five percent (25/55) of category 3 or 4 lesions were downgraded to 2F or lower. Kappa values were 0.94 between the two readers and 0.72-0.76 between the readers and the prospective Bosniak categories. There was no association between initial size, change in size, or duration of follow-up and change in Bosniak category. CONCLUSION. Approximately one-half of small (< 4 cm) Bosniak category 3 and 4 cystic renal lesions were downgraded, and the majority (88%) of small Bosniak category 2F lesions regressed or remained stable during active surveillance. Therefore, small size should be a consideration for conservative management.
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Sefik E, Bozkurt IH, Adibelli ZH, Aydin ME, Celik S, Oguzdogan GY, Basmaci I, Gorgel SN, Vardar E, Gunlusoy B, Degirmenci T. The Histopathologic Correlation of Bosniak 3 Cyst Subclassification. Urology 2019; 129:126-131. [PMID: 31009744 DOI: 10.1016/j.urology.2019.04.016] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/14/2019] [Revised: 04/03/2019] [Accepted: 04/09/2019] [Indexed: 10/27/2022]
Abstract
OBJECTIVE To evaluate the histopathologic correlation of recently described subclassification of Bosniak category 3 cysts (3s and 3n). MATERIALS AND METHODS A total of 106 patients who underwent partial/radical nephrectomy due to a complex renal cyst (≥Bosniak 3) were retrospectively reviewed. All the scans of the patients were reevaluated by 2 experienced uroradiologists. Bosniak 3 cysts were reclassified as 3n (nodularity on the cyst wall/septae) and 3s (septated cysts without nodularity) as described in a recently published paper. Group 1 consisted of patients with Bosniak 3s, Group 2 consisted of patients with Bosniak 3n, and Group 3 consisted of patients with Bosniak 4 cysts. Three groups were compared according to patients' characteristics, radiological findings, histopathologic results, and survival outcomes. RESULTS There were 52 patients in Bosniak 3 group and 54 patients in Bosniak 4 group. Mean follow-up was 35.3 months. Among Bosniak 3 cysts, 37 lesions were classified in 3s and 15 were classified in 3n. Malignancy was higher in 3n group than 3s (86.7% vs 54.1%, P= .026). Lesion size was significantly lower for malignant cysts compared to benign ones in the patients with Bosniak 3 lesions (44.2 ± 27.5 vs 80 ± 55.9 P= .005). In the subgroups, malignant lesions were significantly smaller than benign lesions in 3s group similar to general Bosniak 3 group. Most of the Bosniak 3 lesions were organ confined and low grade. CONCLUSION The subclassification of Bosniak 3 cysts as 3s and 3n can help to differentiate highly suspicious malignant lesions from the relatively less suspicious ones.
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Affiliation(s)
- Ertugrul Sefik
- Department of Urology, Health Sciences University, Bozyaka Training and Research Hospital, Izmir, Turkey.
| | - Ibrahim Halil Bozkurt
- Department of Urology, Health Sciences University, Bozyaka Training and Research Hospital, Izmir, Turkey
| | - Zehra Hilal Adibelli
- Department of Radiology, Health Sciences University, Bozyaka Training and Research Hospital, Izmir, Turkey
| | - Mehmet Erhan Aydin
- Department of Urology, Health Sciences University, Bozyaka Training and Research Hospital, Izmir, Turkey
| | - Serdar Celik
- Department of Urology, Health Sciences University, Bozyaka Training and Research Hospital, Izmir, Turkey
| | - Gülsen Yucel Oguzdogan
- Department of Radiology, Health Sciences University, Bozyaka Training and Research Hospital, Izmir, Turkey
| | - Ismail Basmaci
- Department of Urology, Health Sciences University, Bozyaka Training and Research Hospital, Izmir, Turkey
| | | | - Enver Vardar
- Department of Pathology, Health Sciences University, Bozyaka Training and Research Hospital, Izmir, Turkey
| | - Bulent Gunlusoy
- Department of Urology, Health Sciences University, Bozyaka Training and Research Hospital, Izmir, Turkey
| | - Tansu Degirmenci
- Department of Urology, Health Sciences University, Bozyaka Training and Research Hospital, Izmir, Turkey
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