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Amirian H, Franco FB, Dabiri B, Alessandrino F. Urologic Imaging of the Bladder: Cancers and Mimics. Urol Clin North Am 2025; 52:111-124. [PMID: 39537297 DOI: 10.1016/j.ucl.2024.07.011] [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] [Indexed: 11/16/2024]
Abstract
Bladder cancer (BC) represents a significant global health challenge with notable incidence and mortality rates. Despite treatment advancements, its management remains complex, requiring a multidisciplinary approach. Imaging techniques play a pivotal role in diagnosis, staging, and treatment planning by aiding lesion localization, differentiation, and assessment of tumor extent. Primary modalities like computed tomography and MRI offer detailed anatomic insights. Imaging provides valuable insights into tumor biology, vascular patterns, and molecular profiles, enabling personalized medicine strategies to optimize therapeutic efficacy and minimize adverse effects, crucial for improving BC management and prognosis.
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Affiliation(s)
- Haleh Amirian
- Department of Surgical Oncology, University of Miami, 1150 Northwest 14th Street #511, Miami, FL 33136, USA
| | - Felipe B Franco
- Department of Body Imaging, Radiology Associates of South Florida, 8900 North Kendall Drive, Miami, FL 33176, USA.
| | - Borna Dabiri
- Department of Radiology, Brigham and Women's Hospital, Harvard Medical School, 75 Francis Street, Boston, MA 02115, USA
| | - Francesco Alessandrino
- Division of Abdominal Imaging, Department of Radiology, University of Miami, 1150 Northwest 14th Street #511, Miami, FL 33136, USA
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2
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Kural S, Pathak AK, Singh S, Jain G, Yadav M, Agarwal S, Kumar I, Gupta M, Singh Y, Kumar U, Trivedi S, Sankhwar SN, Das P, Kumar L. Prospective Assessment of VI-RADS with Muscle Invasion in Urinary Bladder Cancer and Its Implication on Re-Resection/Restaging TURBT Patients. Ann Surg Oncol 2025; 32:609-618. [PMID: 39495364 DOI: 10.1245/s10434-024-16424-0] [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: 08/19/2024] [Accepted: 10/12/2024] [Indexed: 11/05/2024]
Abstract
BACKGROUND Bladder cancer (BCa) diagnosis relies on distinguishing muscle-invasive bladder cancer (MIBC) from non-muscle-invasive bladder cancer (NMIBC) forms. Transurethral resection of the bladder tumor (TURBT) is a standard procedure for initial staging and treatment. The Vesical Imaging-Reporting and Data System (VI-RADS) enhances diagnostic accuracy for muscle invasiveness through advanced imaging techniques, potentially reducing reliance on repeat TURBT and improving patient management. OBJECTIVE We aimed to evaluate the role of VI-RADS in predicting muscle invasiveness in BCa and its potential to predict adverse pathology in high-risk NMIBC to avoid unnecessary repeat TURBT procedures. METHODS In this prospective study, we included 62 patients over the age of 18 years who underwent TURBT. In a secondary phase, patients selected for restaging TURBT (re-TURBT) were included, but those with T2 tumors or low-risk NMIBC were excluded. Multiparametric magnetic resonance imaging (MRI) examinations were scored by a radiologist using the VI-RADS 5 method, while a pathologist analyzed TURBT and re-TURBT samples for accurate staging. Statistical analysis evaluated the role of VI-RADS in BCa staging. RESULTS The VI-RADS score was the only predictive factor for muscle invasion in multivariate analysis. Setting the VI-RADS score at >3 resulted in the highest sensitivity, specificity, and diagnostic accuracy, with values of 67.0%, 89.0%, and 78%, respectively. The receiver operating characteristic area under the curve score for VI-RADS for muscle invasion was 85% for stage Ta, 61% for stage T1, and 88% for stage T2, which shows the utility of VI-RADS in the predictiveness of MIBC/NMIBC. CONCLUSION VI-RADS is effective in stratifying BCa patients by predicting muscle invasiveness and identifying NMIBC cases that may not need repeat TURBT.
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Affiliation(s)
- Sukhad Kural
- Department of Urology, Institute of Medical Sciences, Banaras Hindu University, Varanasi, India
| | - Abhay Kumar Pathak
- DST-CIMS, Institute of Science, Banaras Hindu University, Varanasi, India
| | - Shweta Singh
- Centre for Genetic Disorders, Institute of Science, Banaras Hindu University, Varanasi, India
| | - Garima Jain
- Centre for Genetic Disorders, Institute of Science, Banaras Hindu University, Varanasi, India
| | - Mahima Yadav
- Department of Pathology, Institute of Medical Sciences, Banaras Hindu University, Varanasi, India
| | - Sakshi Agarwal
- Department of Obstetrics and Gynaecology, Institute of Medical Sciences, Banaras Hindu University, Varanasi, India
| | - Ishan Kumar
- Department of Radio-Diagnosis and Imaging, Institute of Medical Sciences, Banaras Hindu University, Varanasi, India
| | - Manjari Gupta
- DST-CIMS, Institute of Science, Banaras Hindu University, Varanasi, India
| | - Yashasvi Singh
- Department of Urology, Institute of Medical Sciences, Banaras Hindu University, Varanasi, India
| | - Ujwal Kumar
- Department of Urology, Institute of Medical Sciences, Banaras Hindu University, Varanasi, India
| | - Sameer Trivedi
- Department of Urology, Institute of Medical Sciences, Banaras Hindu University, Varanasi, India
| | - S N Sankhwar
- Department of Urology, Institute of Medical Sciences, Banaras Hindu University, Varanasi, India
| | - Parimal Das
- Centre for Genetic Disorders, Institute of Science, Banaras Hindu University, Varanasi, India
| | - Lalit Kumar
- Department of Urology, Institute of Medical Sciences, Banaras Hindu University, Varanasi, India.
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3
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Dehghanpour A, Pecoraro M, Messina E, Laschena L, Borrelli A, Novelli S, Santini D, Simone G, Girometti R, Panebianco V. Diagnostic accuracy and inter-reader agreement of the nacVI-RADS for bladder cancer treated with neoadjuvant chemotherapy: a prospective validation study. Eur Radiol 2024:10.1007/s00330-024-11327-w. [PMID: 39738561 DOI: 10.1007/s00330-024-11327-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] [Received: 09/27/2024] [Revised: 10/28/2024] [Accepted: 11/28/2024] [Indexed: 01/02/2025]
Abstract
OBJECTIVE The primary aim was to determine the performance of neoadjuvant chemotherapy VI-RADS (nacVI-RADS) in predicting response to systemic therapy in patients with MIBC and to evaluate its inter-reader agreement. MATERIALS AND METHODS Prospective study, including patients with non-metastatic muscle-invasive bladder cancer (MIBC) who underwent neoadjuvant chemotherapy before radical cystectomy (RC). Patients underwent pre- and post-treatment MRI. Radiological response was evaluated by two experienced radiologists using nacVI-RADS scoring system. Reference standard was defined using histopathological findings. Sensitivity, specificity, negative predictive value (NPV), positive predictive value (PPV), and accuracy were calculated to assess nacVI-RADS performance for each reader. Inter-reader agreement was determined with Cohen's k statistics. RESULTS Fifty-five patients with non-metastatic MIBC, 46 males (84%) and 9 females (16%) with a median age of 69 (interquartile range (IQR) 66-72 years) were enrolled. Diagnostic performance of nacVI-RADS in detecting complete response to neoadjuvant chemotherapy showed a sensitivity of 76.5-85.3% and specificity of 76.2-81%. The area under the curve was 0.93 (95% CI: 0.86-0.99) for detecting any residual tissue, for the more experienced reader. Inter-reader agreement was optimal with a K of 0.85. In the multivariable logistic regression model, the variables showing independent correlation with response prediction to neoadjuvant therapy were nacVI-RADS score (p = 0.01 for the more experienced reader) and tumor regression grade (TRG; p < 0.001). CONCLUSION NacVI-RADS scoring system offers a reliable and reproducible approach, employing a well-structured and easily interpretable method, to assess the response to systemic therapy in patients with MIBC. KEY POINTS Question There is a lack of a standardized approach to distinguish between responders and non-responders to neoadjuvant chemotherapy for muscle-invasive bladder cancer. Findings The neoadjuvant chemotherapy VI-RADS (nacVI-RADS) score diagnostic performance for detecting complete response to neoadjuvant chemotherapy showed 85.3% sensitivity, 81% specificity, and an AUC of 0.93. Clinical relevance NacVI-RADS score represents a valid predictor of response to neoadjuvant systemic therapy, impacting therapeutic decision-making and improving overall patients' management.
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Affiliation(s)
- Ailin Dehghanpour
- Department of Radiological Sciences, Oncology and Pathology, Sapienza University/Policlinico Umberto I, Rome, Italy
| | - Martina Pecoraro
- Department of Radiological Sciences, Oncology and Pathology, Sapienza University/Policlinico Umberto I, Rome, Italy
| | - Emanuele Messina
- Department of Radiological Sciences, Oncology and Pathology, Sapienza University/Policlinico Umberto I, Rome, Italy
| | - Ludovica Laschena
- Department of Radiological Sciences, Oncology and Pathology, Sapienza University/Policlinico Umberto I, Rome, Italy
| | - Antonella Borrelli
- Department of Radiological Sciences, Oncology and Pathology, Sapienza University/Policlinico Umberto I, Rome, Italy
| | - Simone Novelli
- Department of Mechanical and Aerospace Engineering, Sapienza University, Rome, Italy
- Liver Failure Group, Institute for Liver and Digestive Health, University College London, Royal Free Campus, London, United Kingdom
| | - Daniele Santini
- Division of Medical Oncology A, Policlinico Umberto I, Rome, Italy
- Department of Medical-Surgical Sciences and Biotechnologies, Sapienza University, Latina, Italy
| | - Giuseppe Simone
- Department of Urology, IRCCS "Regina Elena" National Cancer Institute, Rome, Italy
| | - Rossano Girometti
- Institute of Radiology, Department of Medicine, University of Udine, University Hospital S. Maria della Misericordia, Udine, Italy
| | - Valeria Panebianco
- Department of Radiological Sciences, Oncology and Pathology, Sapienza University/Policlinico Umberto I, Rome, Italy.
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Schmidt J, Furlano K, Kellmer P, Krause H, Klatte T, Miller K, Schlomm T, Hofbauer SL. Retrospective analysis of partial cystectomy in patients with muscle-invasive urothelial carcinoma: A German single-center experience. Urol Oncol 2024:S1078-1439(24)00773-7. [PMID: 39690077 DOI: 10.1016/j.urolonc.2024.11.021] [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: 02/12/2024] [Revised: 10/31/2024] [Accepted: 11/19/2024] [Indexed: 12/19/2024]
Abstract
OBJECTIVES Partial cystectomy (PC) has been proposed as a less invasive alternative to radical cystectomy (RC) for the treatment of localized muscle-invasive bladder cancer (MIBC). The aim of this study was to evaluate the outcome of PC in a contemporary patient cohort to identify potential risk factors for this procedure. METHODS Data from 58 MIBC patients who underwent PC were retrospectively analyzed. Demographics, tumor characteristics, clinical outcomes, and pathology results were collected. Statistical analysis was performed using Cox regression and Kaplan-Meier method to determine survival rates and risk factors. RESULTS The cohort consisted of 58 patients with MIBC with a median age of 71 years. The 5-year overall survival (OS), cancer specific survival (CSS) and recurrence-free survival (RFS) rates were 55%, 67% and 51%, respectively. Clinical suspicion for lymph node metastases (HR 3.82, CI 1.09-13.39, P = 0.036), advanced T-stages (HR 3.80, CI 1.38-10.49, P = 0.010), a higher grading (HR 6.57, CI 0.76-49.19, P = 0.010), positive resection margins (HR 1.81, CI 1.10-2.96, P = 0.012), lymphovascular invasion (HR 5.14, CI 1.77-14.88, P = 0.003), vascular invasion (HR 6.62, CI 2.16-20.27, P = 0. 001), and longer time from initial diagnosis to surgery (HR 1.003, CI 1.001-1.01, days, P = 0.010) were associated with decreased OS. Complications within the first 30 and 90 postoperative days were observed in 31% and 36% of patients, respectively. 4% experienced a Clavien-Dino grade III/IV complication. One patient developed acute respiratory distress syndrome and died 46 days after surgery. CONCLUSION Partial cystectomy appears to be a safe bladder-sparing approach for highly selected MIBC patients with favorable oncologic outcomes and acceptable complication rates. Patient selection and assessment of tumor characteristics are essential for successful outcomes. Prospective randomized controlled trials are needed.
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Affiliation(s)
- Jacob Schmidt
- Department of Urology, Charité - Universitätsmedizin Berlin, Freie Universität Berlin and Humboldt- Universität zu Berlin, Berlin, Germany
| | - Kira Furlano
- Department of Urology, Charité - Universitätsmedizin Berlin, Freie Universität Berlin and Humboldt- Universität zu Berlin, Berlin, Germany
| | - Patricia Kellmer
- Department of Urology, Charité - Universitätsmedizin Berlin, Freie Universität Berlin and Humboldt- Universität zu Berlin, Berlin, Germany
| | - Hans Krause
- Department of Urology, Charité - Universitätsmedizin Berlin, Freie Universität Berlin and Humboldt- Universität zu Berlin, Berlin, Germany
| | - Tobias Klatte
- Department for Urology, Helios Klinikum Bad Saarow, Bad Saarow, Germany
| | - Kurt Miller
- Department of Urology, Charité - Universitätsmedizin Berlin, Freie Universität Berlin and Humboldt- Universität zu Berlin, Berlin, Germany
| | - Thorsten Schlomm
- Department of Urology, Charité - Universitätsmedizin Berlin, Freie Universität Berlin and Humboldt- Universität zu Berlin, Berlin, Germany
| | - Sebastian L Hofbauer
- Department of Urology, Charité - Universitätsmedizin Berlin, Freie Universität Berlin and Humboldt- Universität zu Berlin, Berlin, Germany.
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Barata PC, Zarrabi KK, Bex A, Grivas P, Hermann K, Hofman MS, Li R, Lopez-Beltran A, Padani AR, Powles T, Taplin ME, Loriot Y. Novel Methods to Assess Tumor Burden and Minimal Residual Disease in Genitourinary Cancers. Eur Urol 2024:S0302-2838(24)02705-2. [PMID: 39638730 DOI: 10.1016/j.eururo.2024.11.011] [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: 07/29/2024] [Revised: 10/23/2024] [Accepted: 11/06/2024] [Indexed: 12/07/2024]
Abstract
BACKGROUND AND OBJECTIVE Advances in molecular diagnostics have ushered in a new era for patients with prostate, renal, and urothelial cancers, with novel radiographic and molecular modalities for the assessment of disease burden and minimal residual disease (MRD). Conventional imaging has a limited threshold for disease detection and is often unable to discern clinically occult disease with varying risks of false-negative or false-positive findings depending on the disease state and type of imaging. METHODS We provide an overview of emerging radiographic and molecular tools in development within the genitourinary (GU) disease space. A literature review of contemporary basic, translational, and clinical research studies was performed, covering the timeframe of 1980-2024 through the MEDLINE (via PubMed) and Scopus databases. We highlight select examples of emerging technologies and biomarker-informed clinical trials, which aim to quantify disease at lower thresholds and have the potential for integrating MRD in clinical practice for GU patients. KEY FINDINGS AND LIMITATIONS The development of novel radiotracers, such as prostate-specific membrane antigen or carbonic anhydrase IX, is being evaluated in both clinical practice and trial setting, aiming to change the management of these tumors. Molecular tools including circulating tumor cells and byproducts such as plasma and urine cell-free circulating tumor DNA provide the opportunity for MRD detection. MRD capture on single-cell or cellular byproducts can serve as a conduit for genomic and transcriptomic analyses, providing insight into the molecular underpinnings and clonal evolution of disease. CONCLUSIONS AND CLINICAL IMPLICATIONS While the full potential for MRD applications has yet to be realized, we are witnessing the emergence of novel techniques aimed at MRD detection and the rapid development of elegantly designed studies implementing iterative detection of MRD as means to provide biological rationale and tailor therapeutic options in GU tumors.
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Affiliation(s)
- Pedro C Barata
- Division of Solid Tumor Oncology, University Hospitals Seidman Cancer Center, Case Western Reserve University, Cleveland, OH, USA.
| | - Kevin K Zarrabi
- Department of Medical Oncology, Sidney Kimmel Cancer Center, Thomas Jefferson University, Philadelphia, PA, USA
| | - Axel Bex
- The Royal Free London NHS Foundation Trust, London, UK; UCL Division of Surgery and Interventional Science, University College London, London, UK; Department of Urology, The Netherlands Cancer Institute, Antoni van Leeuwenhoek Hospital, Amsterdam, The Netherlands
| | - Petros Grivas
- Department of Medicine, Division of Hematology Oncology, University of Washington, Seattle, WA, USA; Clinical Research Division, Fred Hutch Cancer Center, Seattle, WA, USA
| | - Ken Hermann
- Department of Nuclear Medicine, University of Duisburg-Essen, German Cancer Consortium (DKTK)-University Hospital Essen, Essen, Germany
| | - Michael S Hofman
- Sir Peter MacCallum Department of Oncology, University of Melbourne, Melbourne, Australia
| | - Roger Li
- Department of GU Oncology, H. Lee Moffitt Cancer Center and Research Institute, Tampa, FL, USA
| | - Antonio Lopez-Beltran
- Department of Morphological Sciences, Unit of Anatomic Pathology, University of Cordoba Medical School, Cordoba, Spain
| | - Anwar R Padani
- Paul Strickland Scanner Centre, Mount Vernon Cancer Centre, London, UK
| | - Thomas Powles
- Barts Cancer Institute, Experimental Cancer Medicine Centre, Queen Mary University of London, St. Bartholomew's Hospital, London, UK
| | - Mary-Ellen Taplin
- Department of Medical Oncology, Dana-Farber Cancer Institute, Boston, MA, USA
| | - Yohann Loriot
- Department of Cancer Medicine and INSERM U981, Université Paris-Sud, Université Paris-Saclay, Gustave Roussy, Villejuif, France
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6
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Fávero Prietto Dos Santos J, Ghezzi CLA, Pedrollo IM, Cruz ÍR, Orozco OFG, Zapparoli M, Schuch A, Muglia VF. Practical Guide to VI-RADS: MRI Protocols, Lesion Characterization, and Pitfalls. Radiographics 2024; 44:e230149. [PMID: 38421912 DOI: 10.1148/rg.230149] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 03/02/2024]
Abstract
Urothelial carcinoma is the most common type of bladder cancer (BC), accounting for approximately 90% of all cases. Evaluating the depth of tumor invasion in the bladder wall (tumor staging) is essential for determining the treatment and prognosis in patients with BC. Neoadjuvant therapy followed by radical cystectomy is the most common treatment of localized muscle-invasive BC (MIBC). Therefore, it is vital to differentiate non-MIBC from MIBC. Transurethral resection of bladder tumor (TURBT) is the reference standard to determine the extent of tumor invasion into the bladder wall through tissue sampling. However, this diagnostic and therapeutic method may not adequately sample the muscularis propria, leading to a higher risk of residual disease, early recurrence, and tumor understaging in approximately 50% of patients during the initial TURBT. Multiparametric MRI can overcome some of the limitations of TURBT when evaluating BC, particularly regarding tumor staging. In this context, the Vesical Imaging Reporting and Data System (VI-RADS) classification was developed to establish standards for bladder multiparametric MRI and interpretation. It uses a 5-point scale to assess the likelihood of detrusor muscle invasion. T2-weighted MR images are particularly useful as an initial guide, especially for categories 1-3, while the presence of muscular invasion is determined with diffusion-weighted and dynamic contrast-enhanced sequences. Diffusion-weighted imaging takes precedence as the dominant method when optimal image quality is achieved. The presence of a stalk or a thickened inner layer and no evidence of interruption of the signal intensity of the muscular layer are central for predicting a low likelihood of muscle invasion. ©RSNA, 2024 Test Your Knowledge questions for this article are available in the supplemental material. See the invited commentary by Hoegger in this issue.
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Affiliation(s)
- Jônatas Fávero Prietto Dos Santos
- From the Department of Radiology, Division of Body Imaging, Hospital Moinhos de Vento, 910 Ramiro Barcelos St, Porto Alegre, RS 90035-000, Brazil, and Program in Pneumology Sciences, Universidade Federal do Rio Grande do Sul, Porto Alegre, Brazil (J.F.P.d.S.); Department of Radiology, Division of Abdominal Imaging, Hospital Moinhos de Vento, Porto Alegre, Brazil (C.L.A.G., I.M.P., A.S.); Department of Radiology, Division of Abdominal Imaging, Hospital de Clínicas de Porto Alegre, Porto Alegre, Brazil (C.L.A.G., I.M.P); Department of Radiology, Division of Abdominal Imaging, Hospital da Restauração, Recife, Brazil, Centro de Diagnóstico Boris Berenstein, Recife, Brazil, and Department of Radiology, Division of Abdominal Imaging, Hospital Santa Joana, Recife, Brazil (I.R.C.); Division of Abdominal Imaging, Diagnóstico Avançado por Imagem (DAPI), Curitiba, Brazil, and Department of Internal Medicine, Division of Abdominal Imaging, Hospital de Clínicas da Universidade Federal do Paraná, Curitiba, Brazil (O.F.G.O., M.Z.); and Department of Radiology, Oncology and Hematology, Division of Abdominal Imaging, Hospital das Clínicas da Faculdade de Medicina de Ribeirão Preto, Universidade de São Paulo, Ribeirão Preto, Brazil (V.F.M.)
| | - Caroline Lorenzoni Almeida Ghezzi
- From the Department of Radiology, Division of Body Imaging, Hospital Moinhos de Vento, 910 Ramiro Barcelos St, Porto Alegre, RS 90035-000, Brazil, and Program in Pneumology Sciences, Universidade Federal do Rio Grande do Sul, Porto Alegre, Brazil (J.F.P.d.S.); Department of Radiology, Division of Abdominal Imaging, Hospital Moinhos de Vento, Porto Alegre, Brazil (C.L.A.G., I.M.P., A.S.); Department of Radiology, Division of Abdominal Imaging, Hospital de Clínicas de Porto Alegre, Porto Alegre, Brazil (C.L.A.G., I.M.P); Department of Radiology, Division of Abdominal Imaging, Hospital da Restauração, Recife, Brazil, Centro de Diagnóstico Boris Berenstein, Recife, Brazil, and Department of Radiology, Division of Abdominal Imaging, Hospital Santa Joana, Recife, Brazil (I.R.C.); Division of Abdominal Imaging, Diagnóstico Avançado por Imagem (DAPI), Curitiba, Brazil, and Department of Internal Medicine, Division of Abdominal Imaging, Hospital de Clínicas da Universidade Federal do Paraná, Curitiba, Brazil (O.F.G.O., M.Z.); and Department of Radiology, Oncology and Hematology, Division of Abdominal Imaging, Hospital das Clínicas da Faculdade de Medicina de Ribeirão Preto, Universidade de São Paulo, Ribeirão Preto, Brazil (V.F.M.)
| | - Ivan Morzoletto Pedrollo
- From the Department of Radiology, Division of Body Imaging, Hospital Moinhos de Vento, 910 Ramiro Barcelos St, Porto Alegre, RS 90035-000, Brazil, and Program in Pneumology Sciences, Universidade Federal do Rio Grande do Sul, Porto Alegre, Brazil (J.F.P.d.S.); Department of Radiology, Division of Abdominal Imaging, Hospital Moinhos de Vento, Porto Alegre, Brazil (C.L.A.G., I.M.P., A.S.); Department of Radiology, Division of Abdominal Imaging, Hospital de Clínicas de Porto Alegre, Porto Alegre, Brazil (C.L.A.G., I.M.P); Department of Radiology, Division of Abdominal Imaging, Hospital da Restauração, Recife, Brazil, Centro de Diagnóstico Boris Berenstein, Recife, Brazil, and Department of Radiology, Division of Abdominal Imaging, Hospital Santa Joana, Recife, Brazil (I.R.C.); Division of Abdominal Imaging, Diagnóstico Avançado por Imagem (DAPI), Curitiba, Brazil, and Department of Internal Medicine, Division of Abdominal Imaging, Hospital de Clínicas da Universidade Federal do Paraná, Curitiba, Brazil (O.F.G.O., M.Z.); and Department of Radiology, Oncology and Hematology, Division of Abdominal Imaging, Hospital das Clínicas da Faculdade de Medicina de Ribeirão Preto, Universidade de São Paulo, Ribeirão Preto, Brazil (V.F.M.)
| | - Ítalo Ribeiro Cruz
- From the Department of Radiology, Division of Body Imaging, Hospital Moinhos de Vento, 910 Ramiro Barcelos St, Porto Alegre, RS 90035-000, Brazil, and Program in Pneumology Sciences, Universidade Federal do Rio Grande do Sul, Porto Alegre, Brazil (J.F.P.d.S.); Department of Radiology, Division of Abdominal Imaging, Hospital Moinhos de Vento, Porto Alegre, Brazil (C.L.A.G., I.M.P., A.S.); Department of Radiology, Division of Abdominal Imaging, Hospital de Clínicas de Porto Alegre, Porto Alegre, Brazil (C.L.A.G., I.M.P); Department of Radiology, Division of Abdominal Imaging, Hospital da Restauração, Recife, Brazil, Centro de Diagnóstico Boris Berenstein, Recife, Brazil, and Department of Radiology, Division of Abdominal Imaging, Hospital Santa Joana, Recife, Brazil (I.R.C.); Division of Abdominal Imaging, Diagnóstico Avançado por Imagem (DAPI), Curitiba, Brazil, and Department of Internal Medicine, Division of Abdominal Imaging, Hospital de Clínicas da Universidade Federal do Paraná, Curitiba, Brazil (O.F.G.O., M.Z.); and Department of Radiology, Oncology and Hematology, Division of Abdominal Imaging, Hospital das Clínicas da Faculdade de Medicina de Ribeirão Preto, Universidade de São Paulo, Ribeirão Preto, Brazil (V.F.M.)
| | - Oscar Fernando Ghattas Orozco
- From the Department of Radiology, Division of Body Imaging, Hospital Moinhos de Vento, 910 Ramiro Barcelos St, Porto Alegre, RS 90035-000, Brazil, and Program in Pneumology Sciences, Universidade Federal do Rio Grande do Sul, Porto Alegre, Brazil (J.F.P.d.S.); Department of Radiology, Division of Abdominal Imaging, Hospital Moinhos de Vento, Porto Alegre, Brazil (C.L.A.G., I.M.P., A.S.); Department of Radiology, Division of Abdominal Imaging, Hospital de Clínicas de Porto Alegre, Porto Alegre, Brazil (C.L.A.G., I.M.P); Department of Radiology, Division of Abdominal Imaging, Hospital da Restauração, Recife, Brazil, Centro de Diagnóstico Boris Berenstein, Recife, Brazil, and Department of Radiology, Division of Abdominal Imaging, Hospital Santa Joana, Recife, Brazil (I.R.C.); Division of Abdominal Imaging, Diagnóstico Avançado por Imagem (DAPI), Curitiba, Brazil, and Department of Internal Medicine, Division of Abdominal Imaging, Hospital de Clínicas da Universidade Federal do Paraná, Curitiba, Brazil (O.F.G.O., M.Z.); and Department of Radiology, Oncology and Hematology, Division of Abdominal Imaging, Hospital das Clínicas da Faculdade de Medicina de Ribeirão Preto, Universidade de São Paulo, Ribeirão Preto, Brazil (V.F.M.)
| | - Maurício Zapparoli
- From the Department of Radiology, Division of Body Imaging, Hospital Moinhos de Vento, 910 Ramiro Barcelos St, Porto Alegre, RS 90035-000, Brazil, and Program in Pneumology Sciences, Universidade Federal do Rio Grande do Sul, Porto Alegre, Brazil (J.F.P.d.S.); Department of Radiology, Division of Abdominal Imaging, Hospital Moinhos de Vento, Porto Alegre, Brazil (C.L.A.G., I.M.P., A.S.); Department of Radiology, Division of Abdominal Imaging, Hospital de Clínicas de Porto Alegre, Porto Alegre, Brazil (C.L.A.G., I.M.P); Department of Radiology, Division of Abdominal Imaging, Hospital da Restauração, Recife, Brazil, Centro de Diagnóstico Boris Berenstein, Recife, Brazil, and Department of Radiology, Division of Abdominal Imaging, Hospital Santa Joana, Recife, Brazil (I.R.C.); Division of Abdominal Imaging, Diagnóstico Avançado por Imagem (DAPI), Curitiba, Brazil, and Department of Internal Medicine, Division of Abdominal Imaging, Hospital de Clínicas da Universidade Federal do Paraná, Curitiba, Brazil (O.F.G.O., M.Z.); and Department of Radiology, Oncology and Hematology, Division of Abdominal Imaging, Hospital das Clínicas da Faculdade de Medicina de Ribeirão Preto, Universidade de São Paulo, Ribeirão Preto, Brazil (V.F.M.)
| | - Alice Schuch
- From the Department of Radiology, Division of Body Imaging, Hospital Moinhos de Vento, 910 Ramiro Barcelos St, Porto Alegre, RS 90035-000, Brazil, and Program in Pneumology Sciences, Universidade Federal do Rio Grande do Sul, Porto Alegre, Brazil (J.F.P.d.S.); Department of Radiology, Division of Abdominal Imaging, Hospital Moinhos de Vento, Porto Alegre, Brazil (C.L.A.G., I.M.P., A.S.); Department of Radiology, Division of Abdominal Imaging, Hospital de Clínicas de Porto Alegre, Porto Alegre, Brazil (C.L.A.G., I.M.P); Department of Radiology, Division of Abdominal Imaging, Hospital da Restauração, Recife, Brazil, Centro de Diagnóstico Boris Berenstein, Recife, Brazil, and Department of Radiology, Division of Abdominal Imaging, Hospital Santa Joana, Recife, Brazil (I.R.C.); Division of Abdominal Imaging, Diagnóstico Avançado por Imagem (DAPI), Curitiba, Brazil, and Department of Internal Medicine, Division of Abdominal Imaging, Hospital de Clínicas da Universidade Federal do Paraná, Curitiba, Brazil (O.F.G.O., M.Z.); and Department of Radiology, Oncology and Hematology, Division of Abdominal Imaging, Hospital das Clínicas da Faculdade de Medicina de Ribeirão Preto, Universidade de São Paulo, Ribeirão Preto, Brazil (V.F.M.)
| | - Valdair Francisco Muglia
- From the Department of Radiology, Division of Body Imaging, Hospital Moinhos de Vento, 910 Ramiro Barcelos St, Porto Alegre, RS 90035-000, Brazil, and Program in Pneumology Sciences, Universidade Federal do Rio Grande do Sul, Porto Alegre, Brazil (J.F.P.d.S.); Department of Radiology, Division of Abdominal Imaging, Hospital Moinhos de Vento, Porto Alegre, Brazil (C.L.A.G., I.M.P., A.S.); Department of Radiology, Division of Abdominal Imaging, Hospital de Clínicas de Porto Alegre, Porto Alegre, Brazil (C.L.A.G., I.M.P); Department of Radiology, Division of Abdominal Imaging, Hospital da Restauração, Recife, Brazil, Centro de Diagnóstico Boris Berenstein, Recife, Brazil, and Department of Radiology, Division of Abdominal Imaging, Hospital Santa Joana, Recife, Brazil (I.R.C.); Division of Abdominal Imaging, Diagnóstico Avançado por Imagem (DAPI), Curitiba, Brazil, and Department of Internal Medicine, Division of Abdominal Imaging, Hospital de Clínicas da Universidade Federal do Paraná, Curitiba, Brazil (O.F.G.O., M.Z.); and Department of Radiology, Oncology and Hematology, Division of Abdominal Imaging, Hospital das Clínicas da Faculdade de Medicina de Ribeirão Preto, Universidade de São Paulo, Ribeirão Preto, Brazil (V.F.M.)
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He K, Meng X, Wang Y, Feng C, Liu Z, Li Z, Niu Y. Progress of Multiparameter Magnetic Resonance Imaging in Bladder Cancer: A Comprehensive Literature Review. Diagnostics (Basel) 2024; 14:442. [PMID: 38396481 PMCID: PMC10888296 DOI: 10.3390/diagnostics14040442] [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: 12/21/2023] [Revised: 01/25/2024] [Accepted: 02/13/2024] [Indexed: 02/25/2024] Open
Abstract
Magnetic resonance imaging (MRI) has been proven to be an indispensable imaging method in bladder cancer, and it can accurately identify muscular invasion of bladder cancer. Multiparameter MRI is a promising tool widely used for preoperative staging evaluation of bladder cancer. Vesical Imaging-Reporting and Data System (VI-RADS) scoring has proven to be a reliable tool for local staging of bladder cancer with high accuracy in preoperative staging, but VI-RADS still faces challenges and needs further improvement. Artificial intelligence (AI) holds great promise in improving the accuracy of diagnosis and predicting the prognosis of bladder cancer. Automated machine learning techniques based on radiomics features derived from MRI have been utilized in bladder cancer diagnosis and have demonstrated promising potential for practical implementation. Future work should focus on conducting more prospective, multicenter studies to validate the additional value of quantitative studies and optimize prediction models by combining other biomarkers, such as urine and serum biomarkers. This review assesses the value of multiparameter MRI in the accurate evaluation of muscular invasion of bladder cancer, as well as the current status and progress of its application in the evaluation of efficacy and prognosis.
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Affiliation(s)
- Kangwen He
- Department of Radiology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430030, China (X.M.); (Z.L.)
| | - Xiaoyan Meng
- Department of Radiology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430030, China (X.M.); (Z.L.)
| | - Yanchun Wang
- Department of Radiology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430030, China (X.M.); (Z.L.)
| | - Cui Feng
- Department of Radiology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430030, China (X.M.); (Z.L.)
| | - Zheng Liu
- Department of Urology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430030, China
| | - Zhen Li
- Department of Radiology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430030, China (X.M.); (Z.L.)
| | - Yonghua Niu
- Department of Pediatric Surgery, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430030, China
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Li B, Li X, Li Z, Yang P, Pan C, Tian L, Xie C. Magnetic resonance radiographic features which might lead to misdiagnosis of muscle-invasive bladder cancer based on vesical imaging reporting and data system: the application experience of a single center. Quant Imaging Med Surg 2023; 13:7258-7268. [PMID: 37869292 PMCID: PMC10585496 DOI: 10.21037/qims-23-356] [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: 03/20/2023] [Accepted: 08/24/2023] [Indexed: 10/24/2023]
Abstract
Background The Vesical Imaging Reporting and Data System (VI-RADS) has been widely used for diagnosing muscle-invasive bladder cancer (MIBC), yet instances of misdiagnosis persist. However, limited research discusses the factors affecting its accuracy. This study aimed to evaluate the diagnostic efficacy of the VI-RADS in our center and to preliminarily identify possible magnetic resonance imaging (MRI) characteristics of misdiagnosis. Methods From January 2018 to February 2023, a consecutive series of 211 participants pathologically diagnosed with bladder cancer (BC) who underwent an MRI exam were retrospectively enrolled. MRI was interpreted by 2 radiologists with different levels of experience, the diagnostic performance was validated using the receiver operating characteristic (ROC) curve, and VI-RADS ≥4 was considered to indicate MIBC-positive status. The clinical and radiographic characteristics of the true-positive (TP), true-negative (TN), false-positive (FP), and false-negative (FN) groups were analyzed using Kruskal-Wallis test or Fisher exact test. Results With VI-RADS ≥4 as the cutoff value, the area under the ROC curves (AUCs) were 0.951 (0.912-0.976) and 0.847 (0.791-0.893) for the more-experienced reader and less-experienced reader, respectively, with good interobserver agreement (κ=0.74105). The median tumor size in the TP (more experienced: 57 cases; less experienced: 44 cases) and FP (more experienced: 8 cases; less experienced: 9 cases) groups was larger than that in the TN (more experienced: 141 cases; less experienced: 139 cases) group for the more-experienced reader (TP: 28 mm; FP: 31 mm; TN: 19 mm; P<0.001 and P=0.031, respectively) and the less-experienced reader (TP: 31 mm; FP: 28 mm; TN: 19 mm; P<0.001 and P=0.042, respectively). The tumor base in the TP and FP groups was larger than that in the TN group for the more-experienced reader (TP: 37 mm; FP: 48 mm; TN: 15 mm; both P<0.001) and for the less-experienced reader (FP: 42 mm; FP: 36 mm; TN: 15 mm; P<0.001 and P=0.022, respectively). The median tumor base in the TP group was larger than that in the FN group for the less-experienced reader (TP: 42 mm; FN: 17 mm; P=0.004). Conclusions We observed good to excellent AUCs with good interobserver agreement among radiologists with different levels of expertise using VI-RADS. Large tumor size and wide tumor base affected the accuracy of VI-RADS in MIBC diagnosis.
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Affiliation(s)
- Boya Li
- Department of Radiology, Sun Yat-sen University Cancer Center, State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, Guangzhou, China
| | - Xiangdong Li
- Department of Urology, Sun Yat-sen University Cancer Center, State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, Guangzhou, China
| | - Zhiyong Li
- Department of Urology, Sun Yat-sen University Cancer Center, State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, Guangzhou, China
| | - Ping Yang
- Department of Pathology, Sun Yat-sen University Cancer Center, State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, Guangzhou, China
| | - Chenghao Pan
- School of Public Health, Sun Yat-sen University, Guangzhou, China
- Department of Cancer Epidemiology, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - Li Tian
- Department of Radiology, Sun Yat-sen University Cancer Center, State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, Guangzhou, China
| | - Chuanmiao Xie
- Department of Radiology, Sun Yat-sen University Cancer Center, State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, Guangzhou, China
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Islam NU, Jehangir M, Parry AH, Nazir SS, Bilal S. Diagnostic performance of multiparametric MRI based Vesical Imaging-Reporting and Data System (VI-RADS) scoring in discriminating between non-muscle invasive and muscle invasive bladder cancer. Pol J Radiol 2023; 88:e356-e364. [PMID: 37701172 PMCID: PMC10493860 DOI: 10.5114/pjr.2023.130807] [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: 04/21/2023] [Accepted: 06/30/2023] [Indexed: 09/14/2023] Open
Abstract
Purpose The purpose of the present study was to assess the diagnostic accuracy of the Vesical Imaging-Reporting and Data System (VI-RADS) scoring system in predicting muscle infiltration of bladder cancer (BC) on a pre-operative multiparametric magnetic resonance imaging (mpMRI). Methods The prospective study enrolled patients with bladder lesions detected on a preliminary ultrasonography or cystoscopy. The patients underwent mpMRI on a 3T MRI scanner followed by surgery within 2 weeks. The tumours were assigned a VI-RADS score by 2 experienced abdominal radiologists. The VI-RADS score was compared with postoperative histopathological findings to confirm detrusor muscle infiltration. The diagnostic performance of VI-RADS for predicting muscle invasion was assessed by calculating sensitivity, specificity, positive predictive value (PPV), negative predictive value (NPV) and accuracy. Results A total of 60 patients were included in the study with a male: female ratio of 4.4 : 1. Transurethral resection of bladder tumour (TURBT) was performed in 47 (78.4%) and radical cystectomy in 13 (21.6%) patients. 19 (31.7%) had non-muscle invasive invasive BC (NMIBCa) and 41 (68.3%) had muscle invasive BC (MIBCa) on histopathology. There was a significant association between VI-RADS score and its components with muscle invasion (p < 0.05). A VI-RADS score of ≥ 3 had a sensitivity of 97.56% (95% CI: 0.87-0.99%), specificity of 73.68% (95% CI: 0.49-0.91), positive predictive value of 88.9% (95% CI: 0.79-0.94), negative predictive value of 93.33% (95% CI: 0.66-0.99), and diagnostic accuracy of 90% (95% CI: 0.80-0.96) for prediction of muscle invasion. Conclusion VI-RADS scoring system pre-operatively predicts the likelihood of muscle invasion in BC with a satisfactory diagnostic performance, and it should be incorporated in the diagnostic work-up of BC patients.
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Affiliation(s)
- Naseer ul Islam
- Government Medical College, Srinagar, Jammu and Kashmir, India
| | - Majid Jehangir
- Government Medical College, Srinagar, Jammu and Kashmir, India
| | | | | | - Sheikh Bilal
- Government Medical College, Srinagar, Jammu and Kashmir, India
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Favorito LA. Vesical imaging reporting and data system (VI-RADS) in bladder cancer diagnosis in review in this number of International Brazilian Journal of Urology. Int Braz J Urol 2022; 48:607-608. [PMID: 35594321 PMCID: PMC9306368 DOI: 10.1590/s1677-5538.ibju.2022.04.01] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/28/2022] Open
Affiliation(s)
- Luciano A Favorito
- Unidade de Pesquisa Urogenital - Universidade Estadual do Rio de Janeiro - Uerj, Rio de Janeiro, RJ, Brasil.,Serviço de Urologia, Hospital Federal da Lagoa, Rio de Janeiro, RJ, Brasil
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Baroni RH. A brief review of the VI-RADS classification for bladder tumors on MRI (and a call for increased interface, consistent communication and more joined studies by the radiological and urological communities). Int Braz J Urol 2022; 48:623-624. [PMID: 35594322 PMCID: PMC9306376 DOI: 10.1590/s1677-5538.ibju.2021.0560.1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [MESH Headings] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/15/2022] [Accepted: 04/26/2022] [Indexed: 11/22/2022] Open
Affiliation(s)
- Ronaldo Hueb Baroni
- Departamento de Radiologia, Faculdade Israelita de Ciências da Saúde Albert Einstein, São Paulo, SP. Brasil
- Departamento de Imagem, Hospital Israelita Albert Einstein São Paulo, SP, Brasil
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