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Xu X, Huang Y, Liu Y, Cai Q, Guo Y, Wang H, Lu H. Multiparametric MRI-based VI-RADS: can it predict 1- to 5-year recurrence of bladder cancer? Eur Radiol 2024; 34:3034-3045. [PMID: 37926742 DOI: 10.1007/s00330-023-10387-8] [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: 04/24/2023] [Revised: 08/14/2023] [Accepted: 08/21/2023] [Indexed: 11/07/2023]
Abstract
OBJECTIVES To evaluate whether Vesical Imaging-Reporting And Data System (VI-RADS) scores based on multiparametric MRI (mp-MRI) can predict bladder cancer (BCa) recurrence. METHODS In this retrospective study, 284 patients with pathologically confirmed bladder neoplasms from November 2011 to October 2020 were included. Two radiologists blindly and independently scored mp-MRI scans according to VI-RADS. Scoring inconsistency was resolved in consensus. The latest follow-up was completed in December 2022. Pearson's correlation analyses, independent-sample t-tests, and receiver operating characteristic analyses were performed to assess the efficacy of VI-RADS score for the 1- to 5-year recurrence prognostication. RESULTS Based on the latest follow-up, 37 (of 284, 13.0%), 69 (of 284, 24.3%), 70 (of 234, 29.9%), 72 (of 190, 37.9%), and 63 (of 135, 46.7%) patients had cancer recurrence at 1- to 5-year follow-up, respectively. VI-RADS scores showed significantly intergroup differences between recurrent and nonrecurrent cases during 1- to 4-year surveillance (p < 0.05). The recurrence-free survival was significantly higher in patients with VI-RADS scores of 1 or 2, compared to those with scores of 3, 4, or 5 (p < 0.05). Areas under the receiver operating characteristic curves for 1- to 5-year recurrence prediction were 0.744, 0.686, 0.656, 0.595, and 0.536, respectively. VI-RADS score of 3 or more was the threshold for 1-year recurrence assessment, and VI-RADS more than 3 was the cutoff for 2-year recurrence prediction. CONCLUSION VI-RADS score has potential in preoperative prognostication of BCa recurrence, but its predictive power decreases over time. CLINICAL RELEVANCE STATEMENT VI-RADS has potential in bladder cancer recurrence assessment, but its prognostic value decreases over time. Patients with VI-RADS ≥ 3 may be more likely to recur in 1 or 2 years postoperatively, thus should be performed with intensive surveillances. KEY POINTS • VI-RADS scores had significant differences in 1- to 4-year recurrent and nonrecurrent patient groups. • Patients with VI-RADS scores of ≤ 2 showed more favorable recurrence-free survival outcomes. • The prognostic value of VI-RADS score decreased over time for bladder cancer recurrence prediction.
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Affiliation(s)
- Xiaopan Xu
- School of Biomedical Engineering, Fourth Military Medical University, No. 169 Changle West Road, Xi'an, Shaanxi, 710032, People's Republic of China
| | - Yiping Huang
- Department of Radiology, The First Affiliated Hospital, Sun Yat-Sen University, 58 Zhongshan Road 2, Guangzhou, Guangdong, People's Republic of China
| | - Yang Liu
- School of Biomedical Engineering, Fourth Military Medical University, No. 169 Changle West Road, Xi'an, Shaanxi, 710032, People's Republic of China
| | - Qian Cai
- Department of Radiology, The First Affiliated Hospital, Sun Yat-Sen University, 58 Zhongshan Road 2, Guangzhou, Guangdong, People's Republic of China
| | - Yan Guo
- Department of Radiology, The First Affiliated Hospital, Sun Yat-Sen University, 58 Zhongshan Road 2, Guangzhou, Guangdong, People's Republic of China
| | - Huanjun Wang
- Department of Radiology, The First Affiliated Hospital, Sun Yat-Sen University, 58 Zhongshan Road 2, Guangzhou, Guangdong, People's Republic of China.
| | - Hongbing Lu
- School of Biomedical Engineering, Fourth Military Medical University, No. 169 Changle West Road, Xi'an, Shaanxi, 710032, People's Republic of China.
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Gong Y, Cheng Y, Zhang J, Bao ML, Zhu FP, Sun XY, Zhang YD. Role of Additional MRI-Based Morphologic Measurements on the Performance of VI-RADS for Muscle-Invasive Bladder Cancer. J Magn Reson Imaging 2024. [PMID: 38258496 DOI: 10.1002/jmri.29184] [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: 09/24/2023] [Revised: 11/30/2023] [Accepted: 11/30/2023] [Indexed: 01/24/2024] Open
Abstract
BACKGROUND Vesical Imaging-Reporting and Data System (VI-RADS) is a pathway for the standardized imaging and reporting of bladder cancer staging using multiparametric (mp) MRI. PURPOSE To investigate additional role of morphological (MOR) measurements to VI-RADS for the detection of muscle-invasive bladder cancer (MIBC) with mpMRI. STUDY TYPE Retrospective. POPULATION A total of 198 patients (72 MIBC and 126 NMIBC) underwent bladder mpMRI was included. FIELD STRENGTH/SEQUENCE 3.0 T/T2-weighted imaging with fast-spin-echo sequence, spin-echo-planar diffusion-weighted imaging and dynamic contrast-enhanced imaging with fast 3D gradient-echo sequence. ASSESSMENT VI-RADS score and MOR measurement including tumor location, number, stalk, cauliflower-like surface, type of tumor growth, tumor-muscle contact margin (TCM), tumor-longitudinal length (TLL), and tumor cellularity index (TCI) were analyzed by three uroradiologists (3-year, 8-year, and 15-year experience of bladder MRI, respectively) who were blinded to histopathology. STATISTICAL TESTS Significant MOR measurements associated with MIBC were tested by univariable and multivariable logistic regression (LR) analysis with odds ratio (OR). Area under receiver operating characteristic curve (AUC) with DeLong's test and decision curve analysis (DCA) were used to compared the performance of unadjusted vs. adjusted VI-RADS. A P-value <0.05 was considered statistically significant. RESULTS TCM (OR 9.98; 95% confidence interval [CI] 4.77-20.8), TCI (OR 5.72; 95% CI 2.37-13.8), and TLL (OR 3.35; 95% CI 1.40-8.03) were independently associated with MIBC at multivariable LR analysis. VI-RADS adjusted by three MORs achieved significantly higher AUC (reader 1 0.908 vs. 0.798; reader 2 0.906 vs. 0.855; reader 3 0.907 vs. 0.831) and better clinical benefits than unadjusted VI-RADS at DCA. Specially in VI-RADS-defined equivocal lesions, MOR-based adjustment resulted in 55.5% (25/45), 70.4% (38/54), and 46.4% (26/56) improvement in accuracy for discriminating MIBC in three readers, respectively. DATA CONCLUSION MOR measurements improved the performance of VI-RADS in detecting MIBC with mpMRI, especially for equivocal lesions. LEVEL OF EVIDENCE 3 TECHNICAL EFFICACY: Stage 2.
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Affiliation(s)
- Yu Gong
- Department of Radiology, The First Affiliated Hospital of Nanjing Medical University, Nanjing, China
| | - Yi Cheng
- Department of Radiology, The First Affiliated Hospital of Nanjing Medical University, Nanjing, China
| | - Jing Zhang
- Department of Radiology, The First Affiliated Hospital of Nanjing Medical University, Nanjing, China
| | - Mei-Ling Bao
- Department of Pathology, The First Affiliated Hospital of Nanjing Medical University, Nanjing, China
| | - Fei-Peng Zhu
- Department of Radiology, The First Affiliated Hospital of Nanjing Medical University, Nanjing, China
| | - Xue-Ying Sun
- Department of Radiology, The First Affiliated Hospital of Nanjing Medical University, Nanjing, China
| | - Yu-Dong Zhang
- Department of Radiology, The First Affiliated Hospital of Nanjing Medical University, Nanjing, China
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Zhang Y, Xu Z, Wu S, Zhu T, Hong X, Chi Z, Malla R, Jiang J, Huang Y, Xu Q, Wang Z, Zhang Y. Construction of 3D and 2D contrast-enhanced CT radiomics for prediction of CGB3 expression level and clinical prognosis in bladder cancer. Heliyon 2023; 9:e20335. [PMID: 37809854 PMCID: PMC10560067 DOI: 10.1016/j.heliyon.2023.e20335] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/01/2023] [Revised: 09/12/2023] [Accepted: 09/19/2023] [Indexed: 10/10/2023] Open
Abstract
Objective The purpose of this study was to construct a 3D and 2D contrast-enhanced computed tomography (CECT) radiomics model to predict CGB3 levels and assess its prognostic abilities in bladder cancer (Bca) patients. Methods Transcriptome data and CECT images of Bca patients were downloaded from The Cancer Imaging Archive (TCIA) and The Cancer Genome Atlas (TCGA) database. Clinical data of 43 cases from TCGA and TCIA were used for radiomics model evaluation. The Volume of interest (VOI) (3D) and region of interest (ROI) (2D) radiomics features were extracted. For the construction of predicting radiomics models, least absolute shrinkage and selection operator regression were used, and the filtered radiomics features were fitted using the logistic regression algorithm (LR). The model's effectiveness was measured using 10-fold cross-validation and the area under the receiver operating characteristic curve (AUC of ROC). Result CGB3 was a differential expressed prognosis-related gene and involved in the immune response process of plasma cells and T cell gamma delta. The high levels of CGB3 are a risk element for overall survival (OS). The AUCs of VOI and ROI radiomics models in the training set were 0.841 and 0.776, while in the validation set were 0.815 and 0.754, respectively. The Delong test revealed that the AUCs of the two models were not statistically different, and both models had good predictive performance. Conclusion The CGB3 expression level is an important prognosis factor for Bca patients. Both 3D and 2D CECT radiomics are effective in predicting CGB3 expression levels.
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Affiliation(s)
- Yuanfeng Zhang
- Department of Urology, Shantou Central Hospital, Shantou, PR China
- Department of Urology, Lanzhou University Second Hospital, Key Laboratory of Urological Disease of Gansu Province, Clinical Center of Gansu Province for Nephron-Urology, Lanzhou, PR China
| | - Zhuangyong Xu
- Department of Radiology,Shantou Central Hospital, Shantou, PR China
| | - Shaoxu Wu
- Department of Urology, Sun Yat-sen Memorial Hospital, Guangzhou, PR China
| | - Tianxiang Zhu
- Department of Cardiothoracic Surgery, Shantou Central Hospital, Shantou, PR China
| | - Xuwei Hong
- Department of Urology, Shantou Central Hospital, Shantou, PR China
| | - Zepai Chi
- Department of Urology, Shantou Central Hospital, Shantou, PR China
| | - Rujan Malla
- Department of Radiology, Nepal Medical Collage Teaching Hospital, Kathmandu, Nepal
| | - Jingqi Jiang
- Department of Urology, Lanzhou University Second Hospital, Key Laboratory of Urological Disease of Gansu Province, Clinical Center of Gansu Province for Nephron-Urology, Lanzhou, PR China
| | - Yi Huang
- Department of Urology, Sun Yat-sen Memorial Hospital, Guangzhou, PR China
| | - Qingchun Xu
- Department of Urology, Shantou Central Hospital, Shantou, PR China
| | - Zhiping Wang
- Department of Urology, Lanzhou University Second Hospital, Key Laboratory of Urological Disease of Gansu Province, Clinical Center of Gansu Province for Nephron-Urology, Lanzhou, PR China
| | - Yonghai Zhang
- Department of Urology, Shantou Central Hospital, Shantou, PR China
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Comparison between biparametric and multiparametric MRI in predicting muscle invasion by bladder cancer based on the VI-RADS. Sci Rep 2022; 12:20689. [PMID: 36450813 PMCID: PMC9712519 DOI: 10.1038/s41598-022-19273-7] [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] [Received: 02/21/2022] [Accepted: 08/26/2022] [Indexed: 12/05/2022] Open
Abstract
This study aimed to compare the diagnostic validity of biparametric magnetic resonance imaging (bpMRI) with that of multiparametric MRI (mpMRI) based on the Vesicle Imaging-Reporting and Data System (VI-RADS) in predicting muscle invasion by bladder cancer (BCa). We retrospectively examined 357 patients with an initial diagnosis of BCa who underwent preoperative MRI; 257 and 100 patients underwent mpMRI and bpMRI, respectively. Two urogenital radiologists evaluated all bpMRI and mpMRI scans using VI-RADS, and the diagnostic validity of VI-RADS for predicting muscle invasion by BCa was analyzed based on histopathology of the first and/or second transurethral resection of bladder tumors and radical cystectomy. Receiver operating characteristic (ROC) curves were plotted with the calculation of area under the curves (AUCs), and the level of significance was P < 0.05. Both groups showed optimal performance with a VI-RADS score ≥ 3. BpMRI showed comparable diagnostic performance to mpMRI (reader 1: AUC, 0.903 [0.827-0.954] vs. 0.935 [0.884-0.968], p = 0.510; and reader 2: AUC, 0.901 [0.814-0.945] vs. 0.915 [0.874-0.946]; p = 0.655). The inter-reader agreement between both readers was excellent (Cohen's kappa value = 0.942 and 0.905 for bpMRI and mpMRI, respectively). This comparative study suggests that bpMRI has comparable diagnostic performance to mpMRI and may be an alternative option to predict muscle invasion by BCa.
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Compérat E, Amin MB, Cathomas R, Choudhury A, De Santis M, Kamat A, Stenzl A, Thoeny HC, Witjes JA. Current best practice for bladder cancer: a narrative review of diagnostics and treatments. Lancet 2022; 400:1712-1721. [PMID: 36174585 DOI: 10.1016/s0140-6736(22)01188-6] [Citation(s) in RCA: 74] [Impact Index Per Article: 37.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/03/2020] [Revised: 05/05/2022] [Accepted: 06/10/2022] [Indexed: 12/20/2022]
Abstract
This Seminar presents the current best practice for the diagnosis and management of bladder cancer. The scope of this Seminar ranges from current challenges in pathology, such as the evolving histological and molecular classification of disease, to advances in personalised medicine and novel imaging approaches. We discuss the current role of radiotherapy, surgical management of non-muscle-invasive and muscle-invasive disease, highlight the challenges of treatment of metastatic bladder cancer, and discuss the latest developments in systemic therapy. This Seminar is intended to provide physicians with knowledge of current issues in bladder cancer.
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Affiliation(s)
- Eva Compérat
- Department of Pathology, Tenon Hospital, Sorbonne University, Paris, France; Department of Pathology, Medical University of Vienna, Vienna, Austria.
| | - Mahul B Amin
- Department of Pathology and Laboratory Medicine and Urology, University of Tennessee Health Science, Memphis, TN, USA
| | - Richard Cathomas
- Department of Oncology/Hematology, Kantonsspital Graubünden, Chur, Switzerland
| | - Ananya Choudhury
- Department of Clinical Oncology, The Christie NHS Foundation Trust and University of Manchester, Manchester, UK
| | - Maria De Santis
- Department of Urology, Charité University Hospital, Berlin, Germany
| | - Ashish Kamat
- Department of Urology, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Arnulf Stenzl
- Department of Urology, University Hospital, Tübingen, Germany
| | - Harriet C Thoeny
- Department of Radiology, HFR Fribourg-Hôpital Cantonal, University of Fribourg, Villars-sur-Glâne, Switzerland; Department of Urology, Inselspital University Hospital, Bern, Switzerland
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6
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Brief update of the new WHO classification for urothelial carcinoma. Curr Opin Urol 2022; 32:511-516. [DOI: 10.1097/mou.0000000000001020] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/25/2022]
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7
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Fasulo V, Paciotti M, Lazzeri M, Contieri R, Casale P, Saita A, Lughezzani G, Diana P, Frego N, Avolio PP, Colombo P, Elefante GM, Guazzoni G, Buffi NM, Bates M, Hurle R. Xpert Bladder Cancer Monitor May Avoid Cystoscopies in Patients Under "Active Surveillance" for Recurrent Bladder Cancer (BIAS Project): Longitudinal Cohort Study. Front Oncol 2022; 12:832835. [PMID: 35155263 PMCID: PMC8830778 DOI: 10.3389/fonc.2022.832835] [Citation(s) in RCA: 7] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/10/2021] [Accepted: 01/03/2022] [Indexed: 12/11/2022] Open
Abstract
Objectives To test the hypothesis that patients under active surveillance (AS) for Non-muscle Invasive Bladder Cancer (NMIBC) who were negative on longitudinal re-testing by the Xpert® Bladder Cancer Monitor (Xpert BC Monitor) assay may avoid unnecessary cystoscopies and urine cytology (UC). Subjects/Patients (or Materials) and Methods This is a prospective cohort study of patients enrolled in the AS protocol for recurrent NMIBC (Bladder Cancer Italian Active Surveillance, BIAS project), whose urine samples were analyzed by Xpert BC Monitor upon entry in the study (T0). Patients who had a negative Xpert test and did not fail AS, underwent additional Xpert tests after 4 (T1), 8 (T2), and 12 (T3) months. The clinical utility of Xpert was assessed by determining the number of cystoscopies and UC that could be avoided within 1 year. Results Overall, 139 patients were tested with Xpert at T0. Median follow-up was 23 (IQR 17–27) months. Sixty-eight (48.9%) patients failed AS, 65 (46.7%) are currently on AS, and 6 (4.3%) were lost at follow-up. At T0 57 (41.0%) patients had a negative test and 36 (63.2%) are still in AS. In patients with 2 consecutives negative Xpert tests, we could have avoided 73.9% of unnecessary cystoscopies, missing 26.4% failure, up to avoid all cystoscopies with 4 negative tests missing only 12% of failure. All the patients with negative Xpert had negative UC. Failure-free-survival at median follow-up (23 month) stratified for having 0, 1, or ≥2 negative tests was 67.0, 55.1. and 84.1, respectively. Conclusion Our findings suggest that Xpert BC Monitor assay, when it is longitudinally repeated, could significantly reduce the number of unnecessary cystoscopies and UC during their follow-up.
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Affiliation(s)
- Vittorio Fasulo
- Department of Biomedical Sciences, Humanitas University, Milan, Italy.,Department of Urology, Istituto di Ricovero e Cura a Carattere Scientifico (IRCCS) Humanitas Research Hospital, Milan, Italy
| | - Marco Paciotti
- Department of Biomedical Sciences, Humanitas University, Milan, Italy.,Department of Urology, Istituto di Ricovero e Cura a Carattere Scientifico (IRCCS) Humanitas Research Hospital, Milan, Italy
| | - Massimo Lazzeri
- Department of Urology, Istituto di Ricovero e Cura a Carattere Scientifico (IRCCS) Humanitas Research Hospital, Milan, Italy
| | - Roberto Contieri
- Department of Biomedical Sciences, Humanitas University, Milan, Italy.,Department of Urology, Istituto di Ricovero e Cura a Carattere Scientifico (IRCCS) Humanitas Research Hospital, Milan, Italy
| | - Paolo Casale
- Department of Urology, Istituto di Ricovero e Cura a Carattere Scientifico (IRCCS) Humanitas Research Hospital, Milan, Italy
| | - Alberto Saita
- Department of Urology, Istituto di Ricovero e Cura a Carattere Scientifico (IRCCS) Humanitas Research Hospital, Milan, Italy
| | - Giovanni Lughezzani
- Department of Biomedical Sciences, Humanitas University, Milan, Italy.,Department of Urology, Istituto di Ricovero e Cura a Carattere Scientifico (IRCCS) Humanitas Research Hospital, Milan, Italy
| | - Pietro Diana
- Department of Biomedical Sciences, Humanitas University, Milan, Italy.,Department of Urology, Istituto di Ricovero e Cura a Carattere Scientifico (IRCCS) Humanitas Research Hospital, Milan, Italy
| | - Nicola Frego
- Department of Biomedical Sciences, Humanitas University, Milan, Italy.,Department of Urology, Istituto di Ricovero e Cura a Carattere Scientifico (IRCCS) Humanitas Research Hospital, Milan, Italy
| | - Pier Paolo Avolio
- Department of Biomedical Sciences, Humanitas University, Milan, Italy.,Department of Urology, Istituto di Ricovero e Cura a Carattere Scientifico (IRCCS) Humanitas Research Hospital, Milan, Italy
| | - Piergiuseppe Colombo
- Department of Biomedical Sciences, Humanitas University, Milan, Italy.,Department of Pathology, Istituto di Ricovero e Cura a Carattere Scientifico (IRCCS) Humanitas Research Hospital, Milan, Italy
| | - Grazia Maria Elefante
- Department of Pathology, Istituto di Ricovero e Cura a Carattere Scientifico (IRCCS) Humanitas Research Hospital, Milan, Italy
| | - Giorgio Guazzoni
- Department of Biomedical Sciences, Humanitas University, Milan, Italy.,Department of Urology, Istituto di Ricovero e Cura a Carattere Scientifico (IRCCS) Humanitas Research Hospital, Milan, Italy
| | - Nicolò Maria Buffi
- Department of Biomedical Sciences, Humanitas University, Milan, Italy.,Department of Urology, Istituto di Ricovero e Cura a Carattere Scientifico (IRCCS) Humanitas Research Hospital, Milan, Italy
| | - Michael Bates
- Medical and Scientific Affairs and Strategy, Oncology, Cepheid, Sunnyvale, CA, United States
| | - Rodolfo Hurle
- Department of Urology, Istituto di Ricovero e Cura a Carattere Scientifico (IRCCS) Humanitas Research Hospital, Milan, Italy
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Diana P, Lughezzani G, Saita A, Uleri A, Frego N, Contieri R, Buffi N, Balzarini L, D’Orazio F, Piergiuseppe C, Elefante MG, Lazzeri M, Guazzoni G, Casale P, Hurle R. Head-to-Head Comparison between High-Resolution Microultrasound Imaging and Multiparametric MRI in Detecting and Local Staging of Bladder Cancer: The BUS-MISS Protocol. Bladder Cancer 2022. [DOI: 10.3233/blc-211611] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/17/2022]
Abstract
BACKGROUND: MRI has been proposed as a new staging tool for bladder cancer (BC), but use is limited by its high costs and low availability. 29-MHz high-resolution micro-ultrasound (mUS) technology has been suggested as an alternative to detect BC and distinguish between muscle-invasive and non-muscle invasive BC. OBJECTIVE: The aim was to compare the diagnostic accuracy of mUS vs. magnetic resonance imaging (MRI) in differentiating NMIBC and MIBC at definitive pathological examination. METHODS: This is a prospective study of patients with a primary diagnosis of BC with either positive urine cytology (UC) or negative UC and a tumor size > 25 mm from a tertiary care high volume center. mUS, with the ExactVu system with an EV29L 29 MHz side-fire transducer, and a 3-Tesla MRI were performed before transurethral resection of bladder tumor (TURBT) in every patient before undergoing TURBT. We compared the imaging results with pathological reports. RESULTS: The analyzed population consisted of 58 individuals. The reported mUS and MRI sensitivity, specificity, positive, and negative predictive values were 85.0%, 76.3%, 65.4%, and 90.6%, versus 85.0%, 50.0%, 47.2%, and 86.4%, respectively. In accuracy analysis, the AUC for mUS and MRI were respectively 0.807 and 0.675. CONCLUSIONS: In our population mUS seems to have a better performance in distinguishing NMIBC from MIBC. The main limitation of mUS is the probe shape that makes its use problematic in cases with a large prostate and inadequate rectal preparation. Further studies with a larger population are ongoing to compare and validate these techniques in this setting.
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Affiliation(s)
- Pietro Diana
- Department of Biomedical Sciences, Humanitas University, Via Rita Levi Montalcini, Pieve Emanuele, Milan, Italy
- Department of Urology, IRCCS Humanitas Research Hospital, Via Manzoni, Rozzano, Milan, Italy
| | - Giovanni Lughezzani
- Department of Biomedical Sciences, Humanitas University, Via Rita Levi Montalcini, Pieve Emanuele, Milan, Italy
- Department of Urology, IRCCS Humanitas Research Hospital, Via Manzoni, Rozzano, Milan, Italy
| | - Alberto Saita
- Department of Urology, IRCCS Humanitas Research Hospital, Via Manzoni, Rozzano, Milan, Italy
| | - Alessandro Uleri
- Department of Biomedical Sciences, Humanitas University, Via Rita Levi Montalcini, Pieve Emanuele, Milan, Italy
- Department of Urology, IRCCS Humanitas Research Hospital, Via Manzoni, Rozzano, Milan, Italy
| | - Nicola Frego
- Department of Biomedical Sciences, Humanitas University, Via Rita Levi Montalcini, Pieve Emanuele, Milan, Italy
- Department of Urology, IRCCS Humanitas Research Hospital, Via Manzoni, Rozzano, Milan, Italy
| | - Roberto Contieri
- Department of Biomedical Sciences, Humanitas University, Via Rita Levi Montalcini, Pieve Emanuele, Milan, Italy
- Department of Urology, IRCCS Humanitas Research Hospital, Via Manzoni, Rozzano, Milan, Italy
| | - Nicolomaria Buffi
- Department of Biomedical Sciences, Humanitas University, Via Rita Levi Montalcini, Pieve Emanuele, Milan, Italy
- Department of Urology, IRCCS Humanitas Research Hospital, Via Manzoni, Rozzano, Milan, Italy
| | - Luca Balzarini
- Department of Radiology, IRCCS Humanitas Research Hospital, Via Manzoni, Rozzano, Milan, Italy
| | - Federico D’Orazio
- Department of Radiology, IRCCS Humanitas Research Hospital, Via Manzoni, Rozzano, Milan, Italy
| | - Colombo Piergiuseppe
- Department of Pathology, IRCCS Humanitas Research Hospital, Via Manzoni, Rozzano, Milan, Italy
| | - Maria Grazia Elefante
- Department of Pathology, IRCCS Humanitas Research Hospital, Via Manzoni, Rozzano, Milan, Italy
| | - Massimo Lazzeri
- Department of Urology, IRCCS Humanitas Research Hospital, Via Manzoni, Rozzano, Milan, Italy
| | - Giorgio Guazzoni
- Department of Biomedical Sciences, Humanitas University, Via Rita Levi Montalcini, Pieve Emanuele, Milan, Italy
- Department of Urology, IRCCS Humanitas Research Hospital, Via Manzoni, Rozzano, Milan, Italy
| | - Paolo Casale
- Department of Urology, IRCCS Humanitas Research Hospital, Via Manzoni, Rozzano, Milan, Italy
| | - Rodolfo Hurle
- Department of Urology, IRCCS Humanitas Research Hospital, Via Manzoni, Rozzano, Milan, Italy
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Delli Pizzi A, Mastrodicasa D, Taraschi A, Civitareale N, Mincuzzi E, Censi S, Marchioni M, Primiceri G, Castellan P, Castellucci R, Cocco G, Chiacchiaretta P, Colasante A, Corvino A, Schips L, Caulo M. Conspicuity and muscle-invasiveness assessment for bladder cancer using VI-RADS: a multi-reader, contrast-free MRI study to determine optimal b-values for diffusion-weighted imaging. Abdom Radiol (NY) 2022; 47:1862-1872. [PMID: 35303112 PMCID: PMC9038787 DOI: 10.1007/s00261-022-03490-9] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/02/2022] [Revised: 03/07/2022] [Accepted: 03/07/2022] [Indexed: 11/26/2022]
Abstract
OBJECTIVE To (1) compare bladder cancer (BC) muscle invasiveness among three b-values using a contrast-free approach based on Vesical Imaging-Reporting and Data System (VI-RADS), to (2) determine if muscle-invasiveness assessment is affected by the reader experience, and to (3) compare BC conspicuity among three b-values, qualitatively and quantitatively. METHODS Thirty-eight patients who underwent a bladder MRI on a 3.0-T scanner were enrolled. The gold standard was histopathology report following transurethral resection of BC. Three sets of images, including T2w and different b-values for DWI, set 1 (b = 1000 s/mm2), set 2 (b = 1500 s/mm2), and set 3 (b = 2000 s/mm2), were reviewed by three differently experienced readers. Descriptive statistics and Intraclass Correlation Coefficient (ICC) were calculated. Comparisons among readers and DWI sets were performed with the Wilcoxon test. Receiver operating characteristic (ROC) analysis was performed. Areas under the curves (AUCs) and pairwise comparison were calculated. RESULTS AUCs of muscle-invasiveness assessment ranged from 0.896 to 0.984 (reader 1), 0.952-0.968 (reader 2), and 0.952-0.984 (reader 3) without significant differences among different sets and readers (p > 0.05). The mean conspicuity qualitative scores were higher in Set 1 (2.21-2.33), followed by Set 2 (2-2.16) and Set 3 (1.82-2.14). The quantitative conspicuity assessment showed that mean normalized intensity of tumor was significantly higher in Set 2 (4.217-4.737) than in Set 1 (3.923-4.492) and Set 3 (3.833-3.992) (p < 0.05). CONCLUSION Muscle invasiveness can be assessed with high accuracy using a contrast-free protocol with T2W and DWI, regardless of reader's experience. b = 1500 s/mm2 showed the best tumor delineation, while b = 1000 s/mm2 allowed for better tumor-wall interface assessment.
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Affiliation(s)
- Andrea Delli Pizzi
- Department of Innovative Technologies in Medicine & Dentistry, “G. d’Annunzio” University, Chieti, Italy
| | | | - Alessio Taraschi
- Unit of Radiology, “Santissima Annunziata” Hospital, Chieti, Italy
| | | | - Erica Mincuzzi
- Unit of Radiology, “Santissima Annunziata” Hospital, Chieti, Italy
| | - Stefano Censi
- Department of Neuroscience, Imaging and Clinical Sciences, “G. d’Annunzio” University, Chieti, Italy
| | - Michele Marchioni
- Department of Medical, Oral and Biotechnological Sciences, G. d’Annunzio University of Chieti, Urology Unit, SS Annunziata Hospital, Chieti, Italy
- Laboratory of Biostatistics, Department of Medical, Oral and Biotechnological Sciences, “G. D’Annunzio” University, Chieti, Italy
| | - Giulia Primiceri
- Department of Medical, Oral and Biotechnological Sciences, G. d’Annunzio University of Chieti, Urology Unit, SS Annunziata Hospital, Chieti, Italy
| | - Pietro Castellan
- Department of Medical, Oral and Biotechnological Sciences, G. d’Annunzio University of Chieti, Urology Unit, SS Annunziata Hospital, Chieti, Italy
| | - Roberto Castellucci
- Department of Medical, Oral and Biotechnological Sciences, G. d’Annunzio University of Chieti, Urology Unit, SS Annunziata Hospital, Chieti, Italy
| | - Giulio Cocco
- Unit of Ultrasound in Internal Medicine, Department of Medicine and Science of Aging, “G. D’Annunzio” University, Chieti, Italy
| | - Piero Chiacchiaretta
- Center of Advanced Studies and Technology (CAST), “G. d’Annunzio” University of Chieti-Pescara, Chieti, Italy
- Department of Psychological, Health and Territory Sciences, “G. d’Annunzio” University of Chieti-Pescara, Chieti, Italy
| | | | - Antonio Corvino
- Motor Science and Wellness Department, University of Naples “Parthenope”, Naples, Italy
| | - Luigi Schips
- Department of Medical, Oral and Biotechnological Sciences, G. d’Annunzio University of Chieti, Urology Unit, SS Annunziata Hospital, Chieti, Italy
| | - Massimo Caulo
- Department of Neuroscience, Imaging and Clinical Sciences, “G. d’Annunzio” University, Chieti, Italy
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Gómez Caamaño A, García Vicente AM, Maroto P, Rodríguez Antolín A, Sanz J, Vera González MA, Climent MÁ. Management of Localized Muscle-Invasive Bladder Cancer from a Multidisciplinary Perspective: Current Position of the Spanish Oncology Genitourinary (SOGUG) Working Group. Curr Oncol 2021; 28:5084-5100. [PMID: 34940067 PMCID: PMC8700266 DOI: 10.3390/curroncol28060428] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/25/2021] [Revised: 11/15/2021] [Accepted: 11/17/2021] [Indexed: 11/30/2022] Open
Abstract
This review presents challenges and recommendations on different aspects related to the management of patients with localized muscle-invasive bladder cancer (MIBC), which were discussed by a group of experts of a Spanish Oncology Genitourinary (SOGUG) Working Group within the framework of the Genitourinary Alliance project (12GU). It is necessary to clearly define which patients are candidates for radical cystectomy and which are candidates for undergoing bladder-sparing procedures. In older patients, it is necessary to include a geriatric assessment and evaluation of comorbidities. The pathological report should include a classification of the histopathological variant of MIBC, particularly the identification of subtypes with prognostic, molecular and therapeutic implications. Improvement of clinical staging, better definition of prognostic groups based on molecular subtypes, and identification of biomarkers potentially associated with maximum benefit from neoadjuvant chemotherapy are areas for further research. A current challenge in the management of MIBC is improving the selection of patients likely to be candidates for immunotherapy with checkpoint inhibitors in the neoadjuvant setting. Optimization of FDG-PET/CT reliability in staging of MIBC and the selection of patients is necessary, as well as the design of prospective studies aimed to compare the value of different imaging techniques in parallel.
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Affiliation(s)
- Antonio Gómez Caamaño
- Department of Radiation Oncology, Hospital Clínico Universitario de Santiago, 15706 Santiago de Compostela, Spain
| | | | | | | | - Julián Sanz
- Clínica Universidad de Navarra, 31008 Pamplona, Spain;
| | | | - Miguel Ángel Climent
- Medical Oncology Service, Fundación Instituto Valenciano de Oncología, 46009 Valencia, Spain;
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Settein MM, Sobh DM, Eteba SM, El-Diasty TA, Abouelkheir RT. Comparison between conventional and diffusion-weighted magnetic resonance imaging in predicting grade and stage of urinary bladder cancer. THE EGYPTIAN JOURNAL OF RADIOLOGY AND NUCLEAR MEDICINE 2021. [DOI: 10.1186/s43055-020-00365-1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/10/2022] Open
Abstract
Abstract
Background
Urinary bladder cancer is the second most common neoplasm of the urinary tract. Tumor staging and regional disease spread are the strongest predictors of treatment outcome. Our study aims to compare the diagnostic performance of conventional and diffusion-weighted magnetic resonance imaging (DW-MRI), using a 3T MR scanner, in grading and staging of urinary bladder cancer with histopathologic correlation.
Results
The sensitivity, specificity, and accuracy of combined use of HR T2WI and DWI were better than using HR T2WI only to differentiate T1 stage from further stages (95%, 100%, and 98%, respectively). Differentiating organ confined bladder cancer (T1 and T2 stages) from tumors with extravesical extension was better when using both HR T2WI and DWI than using HR T2WI (accuracy 100% and 93%, respectively). Kappa agreement was better when using both HR T2WI and DWI than HR T2WI only (0.963 and 0.496 respectively). Grade III lesions showed statistically significant lower ADC values than grades I and II with ADC cut off value ≤ 0.95 × 10−3 mm2/s. No statistically significant difference was found in ADC values between transitional cell carcinoma (TSC) and other cell types.
Conclusion
Combined use of DWI and HR T2WI provides more accurate urinary bladder cancer staging and prediction of aggressiveness of certain histologic grade (GIII lesions) using ADC values. 3 T scanners have the potential to achieve higher diagnostic capability in evaluation of urinary bladder cancer.
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Diagnostic benefit of multiparametric MRI over contrast-enhanced CT in patients with bladder cancer: A single-center 1-year experience. Eur J Radiol 2021; 146:110059. [PMID: 34839167 DOI: 10.1016/j.ejrad.2021.110059] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/02/2021] [Revised: 10/14/2021] [Accepted: 11/18/2021] [Indexed: 11/24/2022]
Abstract
PURPOSE To assess the clinical applicability of local tumor staging in urinary bladder cancer (BC) with preoperative multiparametric MRI (mpMRI) using the five-point Vesical Imaging-Reporting and Data System (VI-RADS) scoring system and to compare it to dual-phase contrast-enhanced computed tomography (CECT). METHODS 33 patients with primary untreated bladder cancer underwent CECT followed by preoperative multiparametric 3.0 T MRI between July 2019 and August 2020 and were enrolled in this retrospective study. Two radiologists initially performed staging on the CECT image data sets and - blinded to CT results - on subsequent mpMRI. BCs were staged according to the VI-RADS scoring system. Postoperative pathology was correlated to the VI-RADS score and the CECT results. The performance of VI-RADS in determining detrusor muscle invasion was analyzed using a receiver operating characteristic curve. Based on the histopathology, sensitivity, specificity and accuracy for muscle invasiveness between both image modalities were compared using the Chi square test. RESULTS A total of 33 patients (29 male, median age 70 years, IQR: 59-81 years) were included. 10 tumors were categorized as non-muscle invasive (30%) and 23 as muscle invasive BC (70%) in final histology. Tumor stages were correctly assigned as being either muscle invasive or non-muscle invasive on both CECT and mpMRI with regard to both early and late stages of BC (Ta-Tis and T3a-T4b). T-stages bordering the histopathologic limits of muscle invasiveness (T1-T2a-b) resulted in overestimation of muscle invasion in 43% of cases (VI-RADS 3-4) for the mpMRI image data sets and in an underestimation of muscle invasion in up to 55.5% of cases analysing the CECT data. Sensitivity and specificity for the determination of muscle invasion in CECT and mpMRI were 80%/80% and 74%/61% for Radiologist#1 and 70%/90% and 83%/70% for Radiologist#2, respectively. CONCLUSIONS There are advantages and disadvantages of both CECT and mpMRI when used in the clinical assessment of BC muscular tumor invasion. In borderline cases, only the combination of cross-sectional imaging and histopathological staging may help in making the optimal treatment decisions.
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Xu X, Wang H, Guo Y, Zhang X, Li B, Du P, Liu Y, Lu H. Study Progress of Noninvasive Imaging and Radiomics for Decoding the Phenotypes and Recurrence Risk of Bladder Cancer. Front Oncol 2021; 11:704039. [PMID: 34336691 PMCID: PMC8321511 DOI: 10.3389/fonc.2021.704039] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/01/2021] [Accepted: 06/30/2021] [Indexed: 12/24/2022] Open
Abstract
Urinary bladder cancer (BCa) is a highly prevalent disease among aged males. Precise diagnosis of tumor phenotypes and recurrence risk is of vital importance in the clinical management of BCa. Although imaging modalities such as CT and multiparametric MRI have played an essential role in the noninvasive diagnosis and prognosis of BCa, radiomics has also shown great potential in the precise diagnosis of BCa and preoperative prediction of the recurrence risk. Radiomics-empowered image interpretation can amplify the differences in tumor heterogeneity between different phenotypes, i.e., high-grade vs. low-grade, early-stage vs. advanced-stage, and nonmuscle-invasive vs. muscle-invasive. With a multimodal radiomics strategy, the recurrence risk of BCa can be preoperatively predicted, providing critical information for the clinical decision making. We thus reviewed the rapid progress in the field of medical imaging empowered by the radiomics for decoding the phenotype and recurrence risk of BCa during the past 20 years, summarizing the entire pipeline of the radiomics strategy for the definition of BCa phenotype and recurrence risk including region of interest definition, radiomics feature extraction, tumor phenotype prediction and recurrence risk stratification. We particularly focus on current pitfalls, challenges and opportunities to promote massive clinical applications of radiomics pipeline in the near future.
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Affiliation(s)
- Xiaopan Xu
- School of Biomedical Engineering, Air Force Medical University, Xi’an, China
| | - Huanjun Wang
- Department of Radiology, The First Affiliated Hospital, Sun Yat-Sen University, Guangzhou, China
| | - Yan Guo
- Department of Radiology, The First Affiliated Hospital, Sun Yat-Sen University, Guangzhou, China
| | - Xi Zhang
- School of Biomedical Engineering, Air Force Medical University, Xi’an, China
| | - Baojuan Li
- School of Biomedical Engineering, Air Force Medical University, Xi’an, China
| | - Peng Du
- School of Biomedical Engineering, Air Force Medical University, Xi’an, China
| | - Yang Liu
- School of Biomedical Engineering, Air Force Medical University, Xi’an, China
| | - Hongbing Lu
- School of Biomedical Engineering, Air Force Medical University, Xi’an, China
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The validity, reliability, and reviewer acceptance of VI-RADS in assessing muscle invasion by bladder cancer: a multicenter prospective study. Eur Radiol 2021; 31:6949-6961. [PMID: 33606105 DOI: 10.1007/s00330-021-07765-5] [Citation(s) in RCA: 35] [Impact Index Per Article: 11.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/24/2020] [Revised: 02/03/2021] [Accepted: 02/08/2021] [Indexed: 12/24/2022]
Abstract
OBJECTIVE To assess diagnostic validity and reliability of VI-RADS in predicting muscle invasion by bladder cancer (BCa) and evaluate reviewer acceptance of VI-RADS for clinical routine. METHODS A prospective multicenter study enrolled 331 patients with suspected/untreated BCa who underwent preoperative multiparametric MRI examination (mp-MRI) of the urinary bladder. Four experienced radiologists independently evaluated all mp-MRI using VI-RADS. The diagnostic validity of VI-RADS for predicting muscle invasion by BCa was calculated using histopathology of the first transurethral resection bladder tumor (TURBT) and second TURBT as the reference standards. The kappa statistics (κ) were applied to assess the interreader agreement (IRA). Reviewer acceptance was evaluated with questionnaires. RESULTS The risk of muscle invasion in VI-RADS 2, 3, 4, and 5 after the first and second TURBT was 21.8%, 45.8%, 69.6%, and 96.4% and 24.4%, 58.3%, 87%, and 99.2%, respectively. The overall diagnostic validity of VI-RADS was high. The optimal cut-off value for predicting muscle invasion after first TURBT was > VI-RADS 3 (sensitivity = 84.1% and specificity = 92.3%), and after second TURBT was > VI-RADS 2 (sensitivity = 89.9% and specificity = 90.1%). VI-RADS categorization showed a very good IRA (κ = 0.93). Reviewers fully agreed with the statement, "The application of structured reporting of bladder tumor should be encouraged" (score = 20). CONCLUSIONS VI-RADS showed high diagnostic validity and reliability for predicting muscle invasion by BCa, especially VI-RADS 4 and 5. However, VI-RADS 2 and 3 require further modifications to enhance their diagnostic validity. VI-RADS is highly encouraged to be used in daily practice. KEY POINTS • VI-RADS showed high diagnostic validity and reliability in predicting BCa muscle invasion, especially VI-RADS 4 and 5. • In VI-RADS 2 and 3, we observed a notable percentage of BCa with muscle invasion and this would require further modifications to enhance the diagnostic validity for these scores. • Overall VI-RADS is well-accepted by radiologists who recommend it for daily practice.
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Bladder cancer: do we need contrast injection for MRI assessment of muscle invasion? A prospective multi-reader VI-RADS approach. Eur Radiol 2020; 31:3874-3883. [PMID: 33211143 PMCID: PMC8128729 DOI: 10.1007/s00330-020-07473-6] [Citation(s) in RCA: 30] [Impact Index Per Article: 7.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/07/2020] [Revised: 10/12/2020] [Accepted: 11/04/2020] [Indexed: 12/24/2022]
Abstract
OBJECTIVES (1) To investigate whether a contrast-free biparametric MRI (bp-MRI) including T2-weighted images (T2W) and diffusion-weighted images (DWI) can be considered an accurate alternative to the standard multiparametric MRI (mp-MRI), consisting of T2, DWI, and dynamic contrast-enhanced (DCE) imaging for the muscle-invasiveness assessment of bladder cancer (BC), and (2) to evaluate how the diagnostic performance of differently experienced readers is affected according to the type of MRI protocol. METHODS Thirty-eight patients who underwent a clinically indicated bladder mp-MRI on a 3-T scanner were prospectively enrolled. Trans-urethral resection of bladder was the gold standard. Two sets of images, set 1 (bp-MRI) and set 2 (mp-MRI), were independently reviewed by four readers. Descriptive statistics, including sensitivity and specificity, were calculated for each reader. Receiver operating characteristic (ROC) analysis was performed, and the areas under the curve (AUCs) were calculated for the bp-MRI and the standard mp-MRI. Pairwise comparison of the ROC curves was performed. RESULTS The AUCs for bp- and mp-MRI were respectively 0.91-0.92 (reader 1), 0.90 (reader 2), 0.95-0.90 (reader 3), and 0.90-0.87 (reader 4). Sensitivity was 100% for both protocols and specificity ranged between 79.31 and 89.66% and between 79.31 and 83.33% for bp-MRI and mp-MRI, respectively. No significant differences were shown between the two MRI protocols (p > 0.05). No significant differences were shown accordingly to the reader's experience (p > 0.05). CONCLUSIONS A bp-MRI protocol consisting of T2W and DWI has comparable diagnostic accuracy to the standard mp-MRI protocol for the detection of muscle-invasive bladder cancer. The experience of the reader does not significantly affect the diagnostic performance using VI-RADS. KEY POINTS • The contrast-free MRI protocol shows a comparable accuracy to the standard multiparametric MRI protocol in the bladder cancer muscle-invasiveness assessment. • VI-RADS classification helps non-expert radiologists to assess the muscle-invasiveness of bladder cancer. • DCE should be carefully interpreted by less experienced readers due to inflammatory changes representing a potential pitfall.
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Saita A, Lughezzani G, Buffi NM, Hurle R, Nava L, Colombo P, Diana P, Fasulo V, Paciotti M, Elefante GM, Lazzeri M, Guazzoni G, Casale P. Assessing the Feasibility and Accuracy of High-resolution Microultrasound Imaging for Bladder Cancer Detection and Staging. Eur Urol 2020; 77:727-732. [DOI: 10.1016/j.eururo.2019.03.044] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/28/2019] [Accepted: 03/28/2019] [Indexed: 10/27/2022]
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Abd elsalam SM, Abdelbary AM. Accuracy of diffusion-weighted magnetic resonance imaging in evaluation of muscle invasion and histologic grading of the urinary bladder carcinoma. THE EGYPTIAN JOURNAL OF RADIOLOGY AND NUCLEAR MEDICINE 2020. [DOI: 10.1186/s43055-020-00163-9] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/02/2023] Open
Abstract
Abstract
Background
Carcinoma of the urinary bladder is a common malignant tumor of the urinary tract in both men and women. Proper management of the urinary bladder cancer depends on the stage of the lesions. The aim of this prospective study was to determine the accuracy of diffusion-weighted images in early detection of muscle invasion, local tumor staging of urinary bladder carcinoma, and to measure the correlation between apparent diffusion coefficient (ADC) and histologic grade. Sixty patients with urinary bladder mass lesions underwent transurethral cystoscopy and biopsy after MR imaging. Radical cystectomy was done for lesions infiltrating muscularis propria. Different MR image sets (T2WIs, DWIs images) were interpreted; ADC values of tumors were calculated.
Results
Kappa agreement was better in DWI than T2WI (Kappa was 0.756 and 0.484) and the overall agreement was (83.6% and 63.6%) among both respectively. Accuracy of DWI in diagnosis of tumor stages were 80%, 43%, 96%, and 100% while in T2WI were 55%, 43%, 74%, and 80% for T1, T2, T3, and T4 stages respectively. ANOVA test showed statistically significant difference between mean ADC values of different tumor grades.
Conclusion
DWI showed higher accuracy than T2WI in detection of the degree of muscle invasion of the urinary bladder carcinoma, so it can be added to the routine protocol of MRI examination especially in patients with renal impairment. ADC value can predict the histological grade of the tumor.
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Wang H, Luo C, Zhang F, Guan J, Li S, Yao H, Chen J, Luo J, Chen L, Guo Y. Multiparametric MRI for Bladder Cancer: Validation of VI-RADS for the Detection of Detrusor Muscle Invasion. Radiology 2019; 291:668-674. [PMID: 31012814 DOI: 10.1148/radiol.2019182506] [Citation(s) in RCA: 119] [Impact Index Per Article: 23.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/11/2022]
Abstract
Background The Vesical Imaging-Reporting and Data System (VI-RADS) scoring system was created in 2018 to standardize imaging and reporting of bladder cancer staging with multiparametric MRI. The system provides a five-point VI-RADS score, which suggests the likelihood of detrusor muscle invasion. Muscle-invasive disease carries a worse prognosis and requires radical surgery. Purpose To determine the performance of the VI-RADS score in detecting muscle-invasive bladder cancer in a cohort of patients undergoing multiparametric MRI before surgery. Materials and Methods In this retrospective study, a total of 340 patients with bladder cancer were identified from a database of consecutive patients undergoing multiparametric MRI from November 2011 to August 2018. The tumor with the largest burden was selected in those patients with multifocal tumors. Bladder tumors were retrospectively categorized according to the VI-RADS five-point scoring system by two readers, independently and in consensus, who were blinded to histologic findings. The VI-RADS score was compared with postoperative pathology for each tumor, and the performance of VI-RADS for determining detrusor muscle invasion was analyzed by using the Cochran-Armitage test. Results Among the 340 patients, there were 296 men and 44 women; the median age was 64.0 years (interquartile range [IQR], 57.0-87.0 years). Of 340 tumors, 255 (75.0%) were verified as non-muscle-invasive and 85 (25.0%) as muscle-invasive bladder cancer. Both the VI-RADS score and its components were associated with muscle-invasive condition (P < .001). The area under the receiver operating characteristic curve for VI-RADS for muscle invasion was 0.94 (95% confidence interval [CI]: 0.90, 0.98). The sensitivity and specificity of a VI-RADS score of 3 or greater were 87.1% (95% CI: 78%, 93%) and 96.5% (95% CI: 93%, 98%), respectively. Conclusion The Vesical Imaging-Reporting and Data System score effectively defines the likelihood of detrusor muscle invasion in bladder cancer and should be considered for evaluation of tumors prior to surgery. © RSNA, 2019 Online supplemental material is available for this article. See also the editorial by Margolis and Hu in this issue.
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Affiliation(s)
- Huanjun Wang
- From the Departments of Radiology (H.W., J.G., S.L., Y.G.) and Urology (C.L., H.Y., J.C., J.L., L.C.), The First Affiliated Hospital of Sun Yat-Sen University, 58 Zhongshan Road 2, Guangzhou, Guangdong, PR China; and Department of Radiology, The Eastern Hospital of the First Affiliated Hospital, Sun Yat-Sen University, Guangzhou, Guangdong, PR China (F.Z.)
| | - Cheng Luo
- From the Departments of Radiology (H.W., J.G., S.L., Y.G.) and Urology (C.L., H.Y., J.C., J.L., L.C.), The First Affiliated Hospital of Sun Yat-Sen University, 58 Zhongshan Road 2, Guangzhou, Guangdong, PR China; and Department of Radiology, The Eastern Hospital of the First Affiliated Hospital, Sun Yat-Sen University, Guangzhou, Guangdong, PR China (F.Z.)
| | - Fan Zhang
- From the Departments of Radiology (H.W., J.G., S.L., Y.G.) and Urology (C.L., H.Y., J.C., J.L., L.C.), The First Affiliated Hospital of Sun Yat-Sen University, 58 Zhongshan Road 2, Guangzhou, Guangdong, PR China; and Department of Radiology, The Eastern Hospital of the First Affiliated Hospital, Sun Yat-Sen University, Guangzhou, Guangdong, PR China (F.Z.)
| | - Jian Guan
- From the Departments of Radiology (H.W., J.G., S.L., Y.G.) and Urology (C.L., H.Y., J.C., J.L., L.C.), The First Affiliated Hospital of Sun Yat-Sen University, 58 Zhongshan Road 2, Guangzhou, Guangdong, PR China; and Department of Radiology, The Eastern Hospital of the First Affiliated Hospital, Sun Yat-Sen University, Guangzhou, Guangdong, PR China (F.Z.)
| | - Shurong Li
- From the Departments of Radiology (H.W., J.G., S.L., Y.G.) and Urology (C.L., H.Y., J.C., J.L., L.C.), The First Affiliated Hospital of Sun Yat-Sen University, 58 Zhongshan Road 2, Guangzhou, Guangdong, PR China; and Department of Radiology, The Eastern Hospital of the First Affiliated Hospital, Sun Yat-Sen University, Guangzhou, Guangdong, PR China (F.Z.)
| | - Haohua Yao
- From the Departments of Radiology (H.W., J.G., S.L., Y.G.) and Urology (C.L., H.Y., J.C., J.L., L.C.), The First Affiliated Hospital of Sun Yat-Sen University, 58 Zhongshan Road 2, Guangzhou, Guangdong, PR China; and Department of Radiology, The Eastern Hospital of the First Affiliated Hospital, Sun Yat-Sen University, Guangzhou, Guangdong, PR China (F.Z.)
| | - Junxing Chen
- From the Departments of Radiology (H.W., J.G., S.L., Y.G.) and Urology (C.L., H.Y., J.C., J.L., L.C.), The First Affiliated Hospital of Sun Yat-Sen University, 58 Zhongshan Road 2, Guangzhou, Guangdong, PR China; and Department of Radiology, The Eastern Hospital of the First Affiliated Hospital, Sun Yat-Sen University, Guangzhou, Guangdong, PR China (F.Z.)
| | - Junhang Luo
- From the Departments of Radiology (H.W., J.G., S.L., Y.G.) and Urology (C.L., H.Y., J.C., J.L., L.C.), The First Affiliated Hospital of Sun Yat-Sen University, 58 Zhongshan Road 2, Guangzhou, Guangdong, PR China; and Department of Radiology, The Eastern Hospital of the First Affiliated Hospital, Sun Yat-Sen University, Guangzhou, Guangdong, PR China (F.Z.)
| | - Lingwu Chen
- From the Departments of Radiology (H.W., J.G., S.L., Y.G.) and Urology (C.L., H.Y., J.C., J.L., L.C.), The First Affiliated Hospital of Sun Yat-Sen University, 58 Zhongshan Road 2, Guangzhou, Guangdong, PR China; and Department of Radiology, The Eastern Hospital of the First Affiliated Hospital, Sun Yat-Sen University, Guangzhou, Guangdong, PR China (F.Z.)
| | - Yan Guo
- From the Departments of Radiology (H.W., J.G., S.L., Y.G.) and Urology (C.L., H.Y., J.C., J.L., L.C.), The First Affiliated Hospital of Sun Yat-Sen University, 58 Zhongshan Road 2, Guangzhou, Guangdong, PR China; and Department of Radiology, The Eastern Hospital of the First Affiliated Hospital, Sun Yat-Sen University, Guangzhou, Guangdong, PR China (F.Z.)
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Xu X, Wang H, Du P, Zhang F, Li S, Zhang Z, Yuan J, Liang Z, Zhang X, Guo Y, Liu Y, Lu H. A predictive nomogram for individualized recurrence stratification of bladder cancer using multiparametric MRI and clinical risk factors. J Magn Reson Imaging 2019; 50:1893-1904. [PMID: 30980695 DOI: 10.1002/jmri.26749] [Citation(s) in RCA: 46] [Impact Index Per Article: 9.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/22/2019] [Accepted: 04/02/2019] [Indexed: 12/30/2022] Open
Abstract
BACKGROUND Preoperative prediction of bladder cancer (BCa) recurrence risk is critical for individualized clinical management of BCa patients. PURPOSE To develop and validate a nomogram based on radiomics and clinical predictors for personalized prediction of the first 2 years (TFTY) recurrence risk. STUDY TYPE Retrospective. POPULATION Preoperative MRI datasets of 71 BCa patients (34 recurrent) were collected, and divided into training (n = 50) and validation cohorts (n = 21). FIELD STRENGTH/SEQUENCE 3.0T MRI/T2 -weighted (T2 W), multi-b-value diffusion-weighted (DW), and dynamic contrast-enhanced (DCE) sequences. ASSESSMENT Radiomics features were extracted from the T2 W, DW, apparent diffusion coefficient, and DCE images. A Rad_Score model was constructed using the support vector machine-based recursive feature elimination approach and a logistic regression model. Combined with the important clinical factors, including age, gender, grade, and muscle-invasive status (MIS) of the archived lesion, tumor size and number, surgery, and image signs like stalk and submucosal linear enhancement, a radiomics-clinical nomogram was developed, and its performance was evaluated in the training and the validation cohorts. The potential clinical usefulness was analyzed by the decision curve. STATISTICAL TESTS Univariate and multivariate analyses were performed to explore the independent predictors for BCa recurrence prediction. RESULTS Of the 1872 features, the 32 with the highest area under the curve (AUC) of receiver operating characteristic were selected for the Rad_Score calculation. The nomogram developed by two independent predictors, MIS and Rad_Score, showed good performance in the training (accuracy 88%, AUC 0.915, P << 0.01) and validation cohorts (accuracy 80.95%, AUC 0.838, P = 0.009). The decision curve exhibited when the risk threshold was larger than 0.3, more benefit was observed by using the radiomics-clinical nomogram than using the radiomics or clinical model alone. DATA CONCLUSION The proposed radiomics-clinical nomogram has potential in the preoperative prediction of TFTY BCa recurrence. LEVEL OF EVIDENCE 3 Technical Efficacy: Stage 3 J. Magn. Reson. Imaging 2019;50:1893-1904.
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Affiliation(s)
- Xiaopan Xu
- School of Biomedical Engineering, Air Force Medical University (Fourth Military Medical University), Xi'an, Shaanxi, PR China
| | - Huanjun Wang
- Department of Radiology, First Affiliated Hospital of Sun Yat-sen University, Guangzhou, Guangdong, PR China
| | - Peng Du
- School of Biomedical Engineering, Air Force Medical University (Fourth Military Medical University), Xi'an, Shaanxi, PR China
| | - Fan Zhang
- Department of Radiology, Eastern Hospital of the First Affiliated Hospital, Sun Yat-Sen University, Guangzhou, Guangdong, PR China
| | - Shurong Li
- Department of Radiology, First Affiliated Hospital of Sun Yat-sen University, Guangzhou, Guangdong, PR China
| | - Zhongwei Zhang
- Department of Radiology, Wake Forest School of Medicine, Winston Salem, North Carolina, USA
| | - Jing Yuan
- Mathematics and Statistics School, Xidian University, Xi'an, Shaanxi, PR China
| | - Zhengrong Liang
- Departments of Radiology, School of Computer Science and Biomedical Engineering, State University of New York, Stony Brook, New York, USA
| | - Xi Zhang
- School of Biomedical Engineering, Air Force Medical University (Fourth Military Medical University), Xi'an, Shaanxi, PR China
| | - Yan Guo
- Department of Radiology, First Affiliated Hospital of Sun Yat-sen University, Guangzhou, Guangdong, PR China
| | - Yang Liu
- School of Biomedical Engineering, Air Force Medical University (Fourth Military Medical University), Xi'an, Shaanxi, PR China
| | - Hongbing Lu
- School of Biomedical Engineering, Air Force Medical University (Fourth Military Medical University), Xi'an, Shaanxi, PR China
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Xu X, Zhang X, Tian Q, Wang H, Cui LB, Li S, Tang X, Li B, Dolz J, Ayed IB, Liang Z, Yuan J, Du P, Lu H, Liu Y. Quantitative Identification of Nonmuscle-Invasive and Muscle-Invasive Bladder Carcinomas: A Multiparametric MRI Radiomics Analysis. J Magn Reson Imaging 2018; 49:1489-1498. [PMID: 30252978 DOI: 10.1002/jmri.26327] [Citation(s) in RCA: 54] [Impact Index Per Article: 9.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/07/2018] [Revised: 08/17/2018] [Accepted: 08/20/2018] [Indexed: 11/10/2022] Open
Abstract
BACKGROUND Preoperative discrimination between nonmuscle-invasive bladder carcinomas (NMIBC) and the muscle-invasive ones (MIBC) is very crucial in the management of patients with bladder cancer (BC). PURPOSE To evaluate the discriminative performance of multiparametric MRI radiomics features for precise differentiation of NMIBC from MIBC, preoperatively. STUDY TYPE Retrospective, radiomics. POPULATION Fifty-four patients with postoperative pathologically proven BC lesions (24 in NMIBC and 30 in MIBC groups) were included. FIELD STRENGTH/SEQUENCE 3.0T MRI/T2 -weighted (T2 W) and multi-b-value diffusion-weighted (DW) sequences. ASSESSMENT A total of 1104 radiomics features were extracted from carcinomatous regions of interest on T2 W and DW images, and the apparent diffusion coefficient maps. Support vector machine with recursive feature elimination (SVM-RFE) and synthetic minority oversampling technique (SMOTE) were used to construct an optimal discriminative model, and its performance was evaluated and compared with that of using visual diagnoses by experts. STATISTICAL TESTS Chi-square test and Student's t-test were applied on clinical characteristics to analyze the significant differences between patient groups. RESULTS Of the 1104 features, an optimal subset involving 19 features was selected from T2 W and DW sequences, which outperformed the other two subsets selected from T2 W or DW sequence in muscle invasion discrimination. The best performance for the differentiation task was achieved by the SVM-RFE+SMOTE classifier, with averaged sensitivity, specificity, accuracy, and area under the curve of receiver operating characteristic of 92.60%, 100%, 96.30%, and 0.9857, respectively, which outperformed the diagnostic accuracy by experts. DATA CONCLUSION The proposed radiomics approach has potential for the accurate differentiation of muscle invasion in BC, preoperatively. The optimal feature subset selected from multiparametric MR images demonstrated better performance in identifying muscle invasiveness when compared with that from T2 W sequence or DW sequence only. LEVEL OF EVIDENCE 3 Technical Efficacy: Stage 2 J. Magn. Reson. Imaging 2019;49:1489-1498.
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Affiliation(s)
- Xiaopan Xu
- School of Biomedical Engineering, Fourth Military Medical University, Xi'an, Shaanxi, PR China
| | - Xi Zhang
- School of Biomedical Engineering, Fourth Military Medical University, Xi'an, Shaanxi, PR China
| | - Qiang Tian
- Department of Radiology, Tangdu Hospital, Fourth Military Medical University, Xi'an, Shaanxi, PR China
| | - Huanjun Wang
- Department of Radiology, The First Affiliated Hospital of Sun Yat-sen University, 58 Zhongshan Road 2, Guangzhou, Guangdong, PR China
| | - Long-Biao Cui
- Department of Radiology, Xijing Hospital, Fourth Military Medical University, Xi'an, Shaanxi, PR China.,School of Medical Psychology, Fourth Military Medical University, Xi'an, Shaanxi, PR China
| | - Shurong Li
- Department of Radiology, The First Affiliated Hospital of Sun Yat-sen University, 58 Zhongshan Road 2, Guangzhou, Guangdong, PR China
| | - Xing Tang
- Department of Radiology, Xijing Hospital, Fourth Military Medical University, Xi'an, Shaanxi, PR China
| | - Baojuan Li
- School of Biomedical Engineering, Fourth Military Medical University, Xi'an, Shaanxi, PR China
| | - Jose Dolz
- LIVIA Laboratory, École de technologie supérieure (ETS), Montreal, QC, Canada
| | - Ismail Ben Ayed
- LIVIA Laboratory, École de technologie supérieure (ETS), Montreal, QC, Canada
| | - Zhengrong Liang
- Department of Radiology, School of Computer Science and Biomedical Engineering, State University of New York, Stony Brook, New York, USA
| | - Jing Yuan
- Mathematics and Statistics School Xidian University, Xi'an, Shaanxi, PR China
| | - Peng Du
- School of Biomedical Engineering, Fourth Military Medical University, Xi'an, Shaanxi, PR China
| | - Hongbing Lu
- School of Biomedical Engineering, Fourth Military Medical University, Xi'an, Shaanxi, PR China
| | - Yang Liu
- School of Biomedical Engineering, Fourth Military Medical University, Xi'an, Shaanxi, PR China
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