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Baniasadi A, Das JP, Prendergast CM, Beizavi Z, Ma HY, Jaber MY, Capaccione KM. Imaging at the nexus: how state of the art imaging techniques can enhance our understanding of cancer and fibrosis. J Transl Med 2024; 22:567. [PMID: 38872212 DOI: 10.1186/s12967-024-05379-1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/11/2024] [Accepted: 06/06/2024] [Indexed: 06/15/2024] Open
Abstract
Both cancer and fibrosis are diseases involving dysregulation of cell signaling pathways resulting in an altered cellular microenvironment which ultimately leads to progression of the condition. The two disease entities share common molecular pathophysiology and recent research has illuminated the how each promotes the other. Multiple imaging techniques have been developed to aid in the early and accurate diagnosis of each disease, and given the commonalities between the pathophysiology of the conditions, advances in imaging one disease have opened new avenues to study the other. Here, we detail the most up-to-date advances in imaging techniques for each disease and how they have crossed over to improve detection and monitoring of the other. We explore techniques in positron emission tomography (PET), magnetic resonance imaging (MRI), second generation harmonic Imaging (SGHI), ultrasound (US), radiomics, and artificial intelligence (AI). A new diagnostic imaging tool in PET/computed tomography (CT) is the use of radiolabeled fibroblast activation protein inhibitor (FAPI). SGHI uses high-frequency sound waves to penetrate deeper into the tissue, providing a more detailed view of the tumor microenvironment. Artificial intelligence with the aid of advanced deep learning (DL) algorithms has been highly effective in training computer systems to diagnose and classify neoplastic lesions in multiple organs. Ultimately, advancing imaging techniques in cancer and fibrosis can lead to significantly more timely and accurate diagnoses of both diseases resulting in better patient outcomes.
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Affiliation(s)
- Alireza Baniasadi
- Department of Radiology, Columbia University Irving Medical Center, 622 W 168Th Street, New York, NY, 10032, USA.
| | - Jeeban P Das
- Department of Radiology, Memorial Sloan Kettering Cancer Center, New York, NY, 10065, USA
| | - Conor M Prendergast
- Department of Radiology, Columbia University Irving Medical Center, 622 W 168Th Street, New York, NY, 10032, USA
| | - Zahra Beizavi
- Department of Radiology, Columbia University Irving Medical Center, 622 W 168Th Street, New York, NY, 10032, USA
| | - Hong Y Ma
- Department of Radiology, Columbia University Irving Medical Center, 622 W 168Th Street, New York, NY, 10032, USA
| | | | - Kathleen M Capaccione
- Department of Radiology, Columbia University Irving Medical Center, 622 W 168Th Street, New York, NY, 10032, USA
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Kong L, Ling J, Cao W, Wen Z, Lin Y, Cai Q, Chen Y, Guo Y, Chen J, Wang H. Multiparametric MR characterization for human epithelial growth factor receptor 2 expression in bladder cancer: an exploratory study. Abdom Radiol (NY) 2024:10.1007/s00261-024-04378-6. [PMID: 38867120 DOI: 10.1007/s00261-024-04378-6] [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: 11/16/2023] [Revised: 05/06/2024] [Accepted: 05/12/2024] [Indexed: 06/14/2024]
Abstract
PURPOSE To investigate the application value of multiparametric MRI in evaluating the expression status of human epithelial growth factor receptor 2 (HER2) in bladder cancer (BCa). METHODS From April 2021 to July 2023, preoperative imaging manifestations of 90 patients with pathologically confirmed BCa were retrospectively collected and analyzed. All patients underwent multiparametric MRI including synthetic MRI, DWI, from which the T1, T2, proton density (PD) and apparent diffusion coefficient (ADC) values were obtained. The clinical and imaging characteristics as well as quantitative parameters (T1, T2, PD and ADC values) between HER2-positive and -negative BCa were compared using student t test and chi-square test. The diagnostic efficacy of parameters in predicting HER2 expression status was evaluated by calculating the area under ROC curve (AUC). RESULTS In total, 76 patients (mean age, 63.59 years ± 12.84 [SD]; 55 men) were included: 51 with HER2-negative and 25 with HER2-positive BCa. HER2-positive group demonstrated significantly higher ADC, T1, and T2 values than HER2-negative group (all P < 0.05). The combination of ADC values and tumor grade yielded the best diagnostic performance in evaluating HER2 expression level with an AUC of 0.864. CONCLUSION The multiparametric MR characterization can accurately evaluate the HER2 expression status in BCa, which may further guide the determination of individualized anti-HER2 targeted therapy strategies.
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Affiliation(s)
- Lingmin Kong
- Department of Radiology, The First Affiliated Hospital, Sun Yat-Sen University, 58 Zhongshan Road 2, Guangzhou, Guangdong, People's Republic of China
| | - Jian Ling
- Department of Radiology, The Eastern Hospital of the First Affiliated Hospital, Sun Yat-Sen University, 58 Zhongshan Road 2, Guangzhou, Guangdong, People's Republic of China
| | - Wenxin Cao
- Department of Radiology, The First Affiliated Hospital, Sun Yat-Sen University, 58 Zhongshan Road 2, Guangzhou, Guangdong, People's Republic of China
| | - Zhihua Wen
- Department of Radiology, The First Affiliated Hospital, Sun Yat-Sen University, 58 Zhongshan Road 2, Guangzhou, Guangdong, People's Republic of China
| | - Yingyu Lin
- Department of Radiology, The First Affiliated Hospital, Sun Yat-Sen University, 58 Zhongshan Road 2, Guangzhou, Guangdong, 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
| | - Yanling Chen
- 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
| | - Junxing Chen
- Department of Urology, 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.
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Yang G, Bai J, Hao M, Zhang L, Fan Z, Wang X. Enhancing recurrence risk prediction for bladder cancer using multi-sequence MRI radiomics. Insights Imaging 2024; 15:88. [PMID: 38526620 DOI: 10.1186/s13244-024-01662-3] [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: 11/02/2023] [Accepted: 03/04/2024] [Indexed: 03/27/2024] Open
Abstract
OBJECTIVE We aimed to develop a radiomics-clinical nomogram using multi-sequence MRI to predict recurrence-free survival (RFS) in bladder cancer (BCa) patients and assess its superiority over clinical models. METHODS A retrospective cohort of 229 BCa patients with preoperative multi-sequence MRI was divided into a training set (n = 160) and a validation set (n = 69). Radiomics features were extracted from T2-weighted images, diffusion-weighted imaging, apparent diffusion coefficient, and dynamic contrast-enhanced images. Effective features were identified using the least absolute shrinkage and selection operator (LASSO) method. Clinical risk factors were determined via univariate and multivariate Cox analysis, leading to the creation of a radiomics-clinical nomogram. Kaplan-Meier analysis and log-rank tests assessed the relationship between radiomics features and RFS. We calculated the net reclassification improvement (NRI) to evaluate the added value of the radiomics signature and used decision curve analysis (DCA) to assess the nomogram's clinical validity. RESULTS Radiomics features significantly correlated with RFS (log-rank p < 0.001) and were independent of clinical factors (p < 0.001). The combined model, incorporating radiomics features and clinical data, demonstrated the best prognostic value, with C-index values of 0.853 in the training set and 0.832 in the validation set. Compared to the clinical model, the radiomics-clinical nomogram exhibited superior calibration and classification (NRI: 0.6768, 95% CI: 0.5549-0.7987, p < 0.001). CONCLUSION The radiomics-clinical nomogram, based on multi-sequence MRI, effectively assesses the BCa recurrence risk. It outperforms both the radiomics model and the clinical model in predicting BCa recurrence risk. CRITICAL RELEVANCE STATEMENT The radiomics-clinical nomogram, utilizing multi-sequence MRI, holds promise for predicting bladder cancer recurrence, enhancing individualized clinical treatment, and performing tumor surveillance. KEY POINTS • Radiomics plays a vital role in predicting bladder cancer recurrence. • Precise prediction of tumor recurrence risk is crucial for clinical management. • MRI-based radiomics models excel in predicting bladder cancer recurrence.
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Affiliation(s)
- Guoqiang Yang
- Department of Radiology, the First Hospital of Shanxi Medical University, Taiyuan, Shanxi, China
| | - Jingjing Bai
- Department of Radiology, the First Hospital of Shanxi Medical University, Taiyuan, Shanxi, China
- College of Medical Imaging, Shanxi Medical University, Taiyuan, Shanxi, China
| | - Min Hao
- Department of Radiology, the First Hospital of Shanxi Medical University, Taiyuan, Shanxi, China
- College of Medical Imaging, Shanxi Medical University, Taiyuan, Shanxi, China
| | - Lu Zhang
- Department of Radiology, the First Hospital of Shanxi Medical University, Taiyuan, Shanxi, China
- College of Medical Imaging, Shanxi Medical University, Taiyuan, Shanxi, China
| | - Zhichang Fan
- Department of Radiology, the First Hospital of Shanxi Medical University, Taiyuan, Shanxi, China
- College of Medical Imaging, Shanxi Medical University, Taiyuan, Shanxi, China
| | - Xiaochun Wang
- Department of Radiology, the First Hospital of Shanxi Medical University, Taiyuan, Shanxi, China.
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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 JL, Xu Y, Xiang YS, Wu P, Shen AJ, Wang PJ, Wang F. The Value of Amide Proton Transfer MRI in the Diagnosis of Malignant and Benign Urinary Bladder Lesions: Comparison With Diffusion-Weighted Imaging. J Magn Reson Imaging 2024. [PMID: 38174777 DOI: 10.1002/jmri.29199] [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: 10/06/2023] [Revised: 12/08/2023] [Accepted: 12/09/2023] [Indexed: 01/05/2024] Open
Abstract
BACKGROUND Conventional magnetic resonance imaging (MRI) has certain limitations in distinguishing between malignant and benign urinary bladder (UB) lesions. Amide proton transfer (APT) imaging may provide more diagnostic information than diffusion-weighted imaging (DWI) to distinguish between malignant and benign UB. PURPOSE To investigate the potential of APT imaging in the diagnosis of malignant and benign UB lesions and to compare its diagnostic efficacy with that of conventional DWI. STUDY TYPE Prospective. SUBJECTS Eighty patients with UB lesions. FIELD STRENGTH/SEQUENCE A 3.0 T/turbo spin echo (TSE) T1-weighted and T2-weighted imaging, single-shot echo planar DWI, and three-dimensional TSE APT imaging. ASSESSMENT Patients underwent radical cystectomy or transurethral resection of the bladder lesions within 2 weeks after CT urography and MRI examination. APT signal intensity in UB lesions was quantified by the asymmetric magnetization transfer ratio (MTRasym ). MTRasym and apparent diffusion coefficient (ADC) values were measured and compared between malignant and benign UB lesions. STATISTICAL TESTS Kolmogorov-Smirnov test, Student's t test or Mann-Whitney U test, Spearman rank correlation coefficient, area under the receiver operating characteristic (ROC) curve (AUC), Delong test, and intraclass correlation coefficient (ICC). The significance threshold was set at P < 0.05. RESULTS Thirty-two patients had pathologically confirmed benign UB lesions, including 2 bladder leiomyomas, 1 submucosal amyloidosis, 1 inflammatory myofibroblastic tumor, and 28 inflammatory lesions, and 48 patients had pathologically confirmed urothelial carcinoma. Urothelial carcinomas showed significantly higher MTRasym values (1.53% [0.74%] vs. 0.85% [0.23%]) and significantly lower ADC values (1.24 ± 0.34 × 10-3 mm2 /s vs. 1.43 ± 0.22 × 10-3 mm2 /s) than benign UB lesions. The MTRasym value (AUC = 0.928) was significantly better in differentiating urothelial carcinoma from benign UB lesions than the ADC value (AUC = 0.722). DATA CONCLUSION APT imaging may have value in discriminating malignant from benign UB lesions and has better diagnostic performance than DWI. LEVEL OF EVIDENCE 3 TECHNICAL EFFICACY: Stage 2.
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Affiliation(s)
- Jing-Lu Li
- Department of Medical Imaging, Tongji Hospital, School of Medicine, Tongji University, Shanghai, China
- Institute of Medical Imaging Artificial Intelligence, Tongji University School of Medicine, Shanghai, China
| | - Yun Xu
- Department of Medical Imaging, Tongji Hospital, School of Medicine, Tongji University, Shanghai, China
- Institute of Medical Imaging Artificial Intelligence, Tongji University School of Medicine, Shanghai, China
| | - Yong-Sheng Xiang
- Department of Medical Imaging, Tongji Hospital, School of Medicine, Tongji University, Shanghai, China
- Institute of Medical Imaging Artificial Intelligence, Tongji University School of Medicine, Shanghai, China
| | - Peng Wu
- Clinical and Technical Support, Philips Healthcare, Shanghai, China
| | - Ai-Jun Shen
- Department of Medical Imaging, Tongji Hospital, School of Medicine, Tongji University, Shanghai, China
- Institute of Medical Imaging Artificial Intelligence, Tongji University School of Medicine, Shanghai, China
| | - Pei-Jun Wang
- Department of Medical Imaging, Tongji Hospital, School of Medicine, Tongji University, Shanghai, China
- Institute of Medical Imaging Artificial Intelligence, Tongji University School of Medicine, Shanghai, China
| | - Fang Wang
- Department of Medical Imaging, Tongji Hospital, School of Medicine, Tongji University, Shanghai, China
- Institute of Medical Imaging Artificial Intelligence, Tongji University School of Medicine, Shanghai, China
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Woo S, Becker AS, Das JP, Ghafoor S, Arita Y, Benfante N, Gangai N, Teo MY, Goh AC, Vargas HA. Evaluating residual tumor after neoadjuvant chemotherapy for muscle-invasive urothelial bladder cancer: diagnostic performance and outcomes using biparametric vs. multiparametric MRI. Cancer Imaging 2023; 23:110. [PMID: 37964386 PMCID: PMC10644594 DOI: 10.1186/s40644-023-00632-0] [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: 06/02/2023] [Accepted: 11/03/2023] [Indexed: 11/16/2023] Open
Abstract
BACKGROUND Neoadjuvant chemotherapy (NAC) before radical cystectomy is standard of care in patients with muscle-invasive bladder cancer (MIBC). Response assessment after NAC is important but suboptimal using CT. We assessed MRI without vs. with intravenous contrast (biparametric [BP] vs. multiparametric [MP]) for identifying residual disease on cystectomy and explored its prognostic role. METHODS Consecutive MIBC patients that underwent NAC, MRI, and cystectomy between January 2000-November 2022 were identified. Two radiologists reviewed BP-MRI (T2 + DWI) and MP-MRI (T2 + DWI + DCE) for residual tumor. Diagnostic performances were compared using receiver operating characteristic curve analysis. Kaplan-Meier curves and Cox proportional-hazards models were used to evaluate association with disease-free survival (DFS). RESULTS 61 patients (36 men and 25 women; median age 65 years, interquartile range 59-72) were included. After NAC, no residual disease was detected on pathology in 19 (31.1%) patients. BP-MRI was more accurate than MP-MRI for detecting residual disease after NAC: area under the curve = 0.75 (95% confidence interval (CI), 0.62-0.85) vs. 0.58 (95% CI, 0.45-0.70; p = 0.043). Sensitivity were identical (65.1%; 95% CI, 49.1-79.0) but specificity was higher in BP-MRI compared with MP-MRI for determining residual disease: 77.8% (95% CI, 52.4-93.6) vs. 38.9% (95% CI, 17.3-64.3), respectively. Positive BP-MRI and residual disease on pathology were both associated with worse DFS: hazard ratio (HR) = 4.01 (95% CI, 1.70-9.46; p = 0.002) and HR = 5.13 (95% CI, 2.66-17.13; p = 0.008), respectively. Concordance between MRI and pathology results was significantly associated with DFS. Concordant positive (MRI+/pathology+) patients showed worse DFS than concordant negative (MRI-/pathology-) patients (HR = 8.75, 95% CI, 2.02-37.82; p = 0.004) and compared to the discordant group (MRI+/pathology- or MRI-/pathology+) with HR = 3.48 (95% CI, 1.39-8.71; p = 0.014). CONCLUSION BP-MRI was more accurate than MP-MRI for identifying residual disease after NAC. A negative BP-MRI was associated with better outcomes, providing complementary information to pathological assessment of cystectomy specimens.
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Affiliation(s)
- Sungmin Woo
- Department of Radiology, Memorial Sloan Kettering Cancer Center, 1275 York Avenue, New York, NY, 10065, USA.
- Department of Radiology, NYU Langone Health, 660 1st Avenue, New York, NY, 10016, USA.
| | - Anton S Becker
- Department of Radiology, Memorial Sloan Kettering Cancer Center, 1275 York Avenue, New York, NY, 10065, USA
- Department of Radiology, NYU Langone Health, 660 1st Avenue, New York, NY, 10016, USA
| | - Jeeban P Das
- Department of Radiology, Memorial Sloan Kettering Cancer Center, 1275 York Avenue, New York, NY, 10065, USA
| | - Soleen Ghafoor
- Institute of Diagnostic and Interventional Radiology, University Hospital Zurich, Rämistrasse 100, Zürich, CH-8091, Switzerland
| | - Yuki Arita
- Department of Radiology, Memorial Sloan Kettering Cancer Center, 1275 York Avenue, New York, NY, 10065, USA
| | - Nicole Benfante
- Urology Service, Department of Surgery, Memorial Sloan Kettering Cancer Center, 1275 York Avenue, New York, NY, 10065, USA
| | - Natalie Gangai
- Department of Radiology, Memorial Sloan Kettering Cancer Center, 1275 York Avenue, New York, NY, 10065, USA
| | - Min Yuen Teo
- Genitourinary Oncology Service, Department of Medicine, Memorial Sloan Kettering Cancer Center, New York, NY, 10065, USA
| | - Alvin C Goh
- Urology Service, Department of Surgery, Memorial Sloan Kettering Cancer Center, 1275 York Avenue, New York, NY, 10065, USA
| | - Hebert A Vargas
- Department of Radiology, Memorial Sloan Kettering Cancer Center, 1275 York Avenue, New York, NY, 10065, USA
- Department of Radiology, NYU Langone Health, 660 1st Avenue, New York, NY, 10016, USA
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Stockem C, Mellema J, van Rhijn B, Boellaard T, van Montfoort M, Balduzzi S, Boormans J, Franckena M, Meijer R, Robbrecht D, Suelmann B, Schaake E, van der Heijden M. Induction therapy with ipilimumab and nivolumab followed by consolidative chemoradiation as organ-sparing treatment in urothelial bladder cancer: study protocol of the INDIBLADE trial. Front Oncol 2023; 13:1246603. [PMID: 37711193 PMCID: PMC10498281 DOI: 10.3389/fonc.2023.1246603] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/24/2023] [Accepted: 07/31/2023] [Indexed: 09/16/2023] Open
Abstract
Introduction Studies that assessed the efficacy of pre-operative immune checkpoint blockade (ICB) in locally advanced urothelial cancer of the bladder showed encouraging pathological complete response rates, suggesting that a bladder-sparing approach may be a viable option in a subset of patients. Chemoradiation is an alternative for radical cystectomy with similar oncological outcomes, but is still mainly used in selected patients with organ-confined tumors or patients ineligible to undergo radical cystectomy. We propose to sequentially administer ICB and chemoradiation to patients with (locally advanced) muscle-invasive bladder cancer. Methods The INDIBLADE trial is an investigator-initiated, single-arm, multicenter phase 2 trial. Fifty patients with cT2-4aN0-2M0 urothelial bladder cancer will be treated with ipilimumab 3 mg/kg on day 1, ipilimumab 3 mg/kg plus nivolumab 1 mg/kg on day 22, and nivolumab 3 mg/kg on day 43 followed by chemoradiation. The primary endpoint is the bladder-intact event-free survival (BI-EFS). Events include: local or distant recurrence, salvage cystectomy, death and switch to platinum-based chemotherapy. We will also evaluate the potential of multiparametric magnetic resonance imaging of the bladder to identify non-responders, and we will assess the clearance of circulating tumor DNA as a biomarker for ICB treatment response. Discussion This is the first trial in which the efficacy of induction combination ICB followed by chemoradiation is being evaluated to provide bladder-preservation in patients with (locally advanced) urothelial bladder cancer. Clinical Trial Registration The INDIBLADE trial was registered on clinicaltrials.gov on January 21, 2022 (NCT05200988).
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Affiliation(s)
- C.F. Stockem
- Department of Medical Oncology, Netherlands Cancer Institute, Amsterdam, Netherlands
| | - J.J.J. Mellema
- Department of Medical Oncology, Netherlands Cancer Institute, Amsterdam, Netherlands
| | - B.W.G. van Rhijn
- Department of Oncological Urology, Netherlands Cancer Institute, Amsterdam, Netherlands
| | - T.N. Boellaard
- Department of Radiology, Netherlands Cancer Institute, Amsterdam, Netherlands
| | - M.L. van Montfoort
- Department of Pathology, Netherlands Cancer Institute, Amsterdam, Netherlands
| | - S. Balduzzi
- Department of Statistics, Netherlands Cancer Institute, Amsterdam, Netherlands
| | - J.L. Boormans
- Department of Oncological Urology, Erasmus Medical Center, Rotterdam, Netherlands
| | - M. Franckena
- Department of Radiotherapy, Erasmus Medical Center, Rotterdam, Netherlands
| | - R.P. Meijer
- Department of Oncological Urology, University Medical Center (UMC), Utrecht, Netherlands
| | - D.G.J. Robbrecht
- Department of Medical Oncology, Erasmus Medical Center, Rotterdam, Netherlands
| | - B.B.M. Suelmann
- Department of Medical Oncology, University Medical Center (UMC), Utrecht, Netherlands
| | - E.E. Schaake
- Department of Radiation Oncology, Netherlands Cancer Institute, Amsterdam, Netherlands
| | - M.S. van der Heijden
- Department of Medical Oncology, Netherlands Cancer Institute, Amsterdam, Netherlands
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Predicting Recurrence of Non-Muscle-Invasive Bladder Cancer: Current Techniques and Future Trends. Cancers (Basel) 2022; 14:cancers14205019. [PMID: 36291803 PMCID: PMC9599984 DOI: 10.3390/cancers14205019] [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: 08/25/2022] [Revised: 10/01/2022] [Accepted: 10/03/2022] [Indexed: 11/17/2022] Open
Abstract
Bladder cancer (BC) is the 10th most common cancer globally and has a high mortality rate if not detected early and treated promptly. Non-muscle-invasive BC (NMIBC) is a subclassification of BC associated with high rates of recurrence and progression. Current tools for predicting recurrence and progression on NMIBC use scoring systems based on clinical and histopathological markers. These exclude other potentially useful biomarkers which could provide a more accurate personalized risk assessment. Future trends are likely to use artificial intelligence (AI) to enhance the prediction of recurrence in patients with NMIBC and decrease the use of standard clinical protocols such as cystoscopy and cytology. Here, we provide a comprehensive survey of the most recent studies from the last decade (N = 70 studies), focused on the prediction of patient outcomes in NMIBC, particularly recurrence, using biomarkers such as radiomics, histopathology, clinical, and genomics. The value of individual and combined biomarkers is discussed in detail with the goal of identifying future trends that will lead to the personalized management of NMIBC.
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Huang X, Wang X, Lan X, Deng J, Lei Y, Lin F. The role of radiomics with machine learning in the prediction of muscle-invasive bladder cancer: A mini review. Front Oncol 2022; 12:990176. [PMID: 36059618 PMCID: PMC9428259 DOI: 10.3389/fonc.2022.990176] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/09/2022] [Accepted: 07/27/2022] [Indexed: 11/13/2022] Open
Abstract
Bladder cancer is a common malignant tumor in the urinary system. Depending on whether bladder cancer invades muscle tissue, it is classified into non-muscle-invasive bladder cancer (NMIBC) and muscle-invasive bladder cancer (MIBC). It is crucial to accurately diagnose the muscle invasion of bladder cancer for its clinical management. Although imaging modalities such as CT and multiparametric MRI play an important role in this regard, radiomics has shown great potential with the development and innovation of precision medicine. It features outstanding advantages such as non-invasive and high efficiency, and takes on important significance in tumor assessment and laor liberation. In this article, we provide an overview of radiomics in the prediction of muscle-invasive bladder cancer and reflect on its future trends and challenges.
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Affiliation(s)
- Xiaodan Huang
- Department of Radiology, The First Affiliated Hospital of Shenzhen University, Health Science Center, Shenzhen Second People's Hospital, Shenzhen, China
| | - Xiangyu Wang
- Department of Radiology, The First Affiliated Hospital of Shenzhen University, Health Science Center, Shenzhen Second People's Hospital, Shenzhen, China
| | - Xinxin Lan
- Department of Radiology, The First Affiliated Hospital of Shenzhen University, Health Science Center, Shenzhen Second People's Hospital, Shenzhen, China
| | - Jinhuan Deng
- Department of Radiology, The First Affiliated Hospital of Shenzhen University, Health Science Center, Shenzhen Second People's Hospital, Shenzhen, China
| | - Yi Lei
- Department of Radiology, The First Affiliated Hospital of Shenzhen University, Health Science Center, Shenzhen Second People's Hospital, Shenzhen, China
| | - Fan Lin
- Department of Radiology, The First Affiliated Hospital of Shenzhen University, Health Science Center, Shenzhen Second People's Hospital, Shenzhen, China
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Nicola R, Pecoraro M, Lucciola S, Dos Reis RB, Narumi Y, Panebianco V, Muglia VF. VI-RADS score system - A primer for urologists. Int Braz J Urol 2022; 48:609-622. [PMID: 35195385 PMCID: PMC9306377 DOI: 10.1590/s1677-5538.ibju.2021.0560] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/30/2021] [Accepted: 08/31/2021] [Indexed: 12/24/2022] Open
Abstract
Bladder cancer (BCa) is one of the most common cancers worldwide and is also considered to be one of the most relapsing and aggressive neoplasms. About 30% of patients will present with muscle invasive disease, which is associated with a higher risk for metastatic disease. The aim of this article is to review the state of art imaging in Radiology, while providing a complete guide to urologists, with case examples, for the rationale of the development of the Vesical Imaging Reporting and Data System (VI-RADS), a scoring system emphasizing a standardized approach to multiparametric Magnetic Resonance Imaging (mpMRI) acquisition, interpretation, and reporting for BCa. Also, we examine relevant external validation studies and the consolidated literature of mpMRI for bladder cancer. In addition, this article discusses some of the potential clinical implications of this scoring system for disease management and follow-up.
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Affiliation(s)
- Refky Nicola
- Roswell Park Comprehensive Cancer Center, Buffalo, NY, USA
| | - Martina Pecoraro
- Department of Radiological Sciences, Oncology and Pathology, Sapienza University of Rome, Italy
| | - Sara Lucciola
- Department of Radiological Sciences, Oncology and Pathology, Sapienza University of Rome, Italy
| | - Rodolfo Borges Dos Reis
- Departamento de Cirurgia, Divisão de Urologia - Faculdade de Medicina de Ribeirão Preto - USP, Ribeirão Preto, SP, Brasil
| | | | - Valeria Panebianco
- Department of Radiological Sciences, Oncology and Pathology, Sapienza University of Rome, Italy
| | - Valdair Francisco Muglia
- Departamento de Imagens Médicas, Oncologia e Hematologia - Divisão de Imagem, Faculdade de Medicina de Ribeirão Preto - USP, Ribeirão Preto, SP, Brasil
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Radiologic Diagnosis and Staging of Bladder Cancer: An Update. J Comput Assist Tomogr 2022; 46:530-544. [PMID: 35723651 DOI: 10.1097/rct.0000000000001322] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/26/2022]
Abstract
Although cystoscopic biopsy is the standard of care for initial diagnosis and local staging of bladder cancer, radiologic imaging plays a major role in identifying local invasion, nodal status, distant metastasis, and posttreatment surveillance. Recent development of the Vesical Imaging-Reporting and Data System for interpretation of multiparametric magnetic resonance imaging of the bladder has expanded the role diagnostic imaging in the management of bladder cancer. This article reviews multimodality imaging appearances, staging, and differential diagnosis of bladder cancer.
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Ye L, Chen Y, Xu H, Xie H, Yao J, Liu J, Song B. Biparametric magnetic resonance imaging assessment for detection of muscle-invasive bladder cancer: a systematic review and meta-analysis. Eur Radiol 2022; 32:6480-6492. [PMID: 35362750 DOI: 10.1007/s00330-022-08696-5] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/28/2021] [Revised: 02/22/2022] [Accepted: 02/25/2022] [Indexed: 02/05/2023]
Abstract
OBJECTIVES To investigate if removing DCE from the Vesical Imaging Reporting and Data System (VI-RADS) influences the diagnostic accuracy of muscle-invasive bladder cancer (MIBC). We also explored using different reference standards on the MRI diagnostic performance. METHODS We searched the Cochrane Library, Embase, and PubMed databases to June 26, 2021. Pooled biparametric MRI (bpMRI, T2WI+DWI) and multiparametric MRI (mpMRI, T2WI+DWI+DCE) sensitivities and specificities and the diagnostic performances of these methods for MIBC were compared using different reference standards. RESULTS Seventeen studies with 2344 patients were finally included, of which 7 studies, including 1041 patients, reported the diagnostic performance of bpMRI. VI-RADS showed sensitivities and specificities of 0.91 (95% CI 0.87-0.94) and 0.86 (95% CI 0.77-0.91) at cutoff scores of 3, and 0.85 (95% CI 0.77-0.90) and 0.93 (95% CI 0.89-0.96) at cutoff scores of 4. BpMRI showed sensitivities and specificities of 0.90 (95% CI 0.69-0.97) and 0.90 (95% CI 0.81-0.95), and 0.84 (95% CI 0.78-0.88) and 0.97 (95% CI 0.87-0.99), respectively, for cutoff scores of 3 and 4. The sensitivities of bpMRI vs mpMRI for MIBC were not significantly different, but bpMRI was more specific than mpMRI at cutoff scores of 3 (p = 0.02) and 4 (p = 0.02). The VI-RADS studies using primary transurethral resection of bladder tumors (TURBT) as the reference standard had significantly higher sensitivities (p < 0.001) than those using secondary TURBT or radical cystectomy as the reference. DATA CONCLUSION BpMRI and conventional VI-RADS had similar diagnostic efficacies for MIBC. Since MRI overestimated MIBC diagnoses using primary TURBT as the reference standard, we recommend using secondary TURBT as the reference standard. KEY POINTS • Biparametric MRI without DCE had similar diagnostic efficacies for MIBC compared with conventional VI-RADS. • The sensitivity of VI-RADS was overestimated when referring to the primary TURBT results. • Biparametric MRI comprised of T2WI and DWI could be used for detecting MIBC in clinical practice.
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Affiliation(s)
- Lei Ye
- Department of Radiology, West China Hospital, Sichuan University, No. 37 Guoxue Alley, Wuhou District, Chengdu City, 610041, Sichuan Province, China
| | - Yuntian Chen
- Department of Radiology, West China Hospital, Sichuan University, No. 37 Guoxue Alley, Wuhou District, Chengdu City, 610041, Sichuan Province, China
| | - Hui Xu
- Department of Radiology, West China Hospital, Sichuan University, No. 37 Guoxue Alley, Wuhou District, Chengdu City, 610041, Sichuan Province, China
| | - Huimin Xie
- Department of Radiology, West China Hospital, Sichuan University, No. 37 Guoxue Alley, Wuhou District, Chengdu City, 610041, Sichuan Province, China
| | - Jin Yao
- Department of Radiology, West China Hospital, Sichuan University, No. 37 Guoxue Alley, Wuhou District, Chengdu City, 610041, Sichuan Province, China.
| | - Jiaming Liu
- Department of Urology, Institute of Urology, West China Hospital, Sichuan University, No. 37 Guoxue Alley, Wuhou District, Chengdu City, 610041, Sichuan Province, China.
| | - Bin Song
- Department of Radiology, West China Hospital, Sichuan University, No. 37 Guoxue Alley, Wuhou District, Chengdu City, 610041, Sichuan Province, China
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Diagnostic accuracy of vesical imaging-reporting and data system (VI-RADS) for the detection of muscle-invasive bladder cancer: a meta-analysis. Abdom Radiol (NY) 2022; 47:1396-1405. [PMID: 35181798 DOI: 10.1007/s00261-022-03449-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: 01/07/2022] [Revised: 02/05/2022] [Accepted: 02/07/2022] [Indexed: 11/01/2022]
Abstract
PURPOSE Vesical Imaging-Reporting and Data System (VI-RADS) was proposed and considered as a standardized reporting criterion for bladder magnetic resonance imaging (MRI). VI-RADS could suggest the likelihood of muscle invasion based on the multiparametric MRI (mp-MRI) findings which contain five-point scores. The current study is designed to comprehensively and systematically evaluate the diagnostic performance of VI-RADS (score 3 and 4) for predicting muscle invasion. METHODS The Cochrane Library, Embase, and PubMed were searched comprehensively from inception to October 2021. RESULTS Finally, 19 studies incorporating 2900 patients were enrolled. The pooled sensitivity and specificity of VI-RADS 3 for predicting muscle invasion were 0.92 (95%CI 0.89-0.94) and 0.82 (95%CI 0.76-0.87), respectively. The pooled sensitivity and specificity of VI-RADS 4 were 0.78 (95%CI 0.72-0.83) and 0.96 (95%CI 0.93-0.97), respectively. And the area under the curve (AUCs) of VI-RADS 3 and 4 were all 0.94 (95%CI 0.92-0.96). No significant publication biases were not observed for VI-RADS 3 (P = 0.74) and 4 (P = 0.57). CONCLUSION The VI-RADS reveals a good diagnostic performance for predicting muscle invasive in bladder cancer, which also has good clinical utilities and applicability. And VI-RADS 3 and 4 as cutoff values provide similar overall diagnostic and could be selectively applied individually. Prospective studies with a large scale are further required to validate the accuracy of the VI-RADS score.
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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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Zhou Q, Zhang Z, Ang X, Zhang H, Ouyang J. A nomogram combined with radiomics features, albuminuria, and metabolic syndrome to predict the risk of myometrial invasion of bladder cancer. Transl Cancer Res 2021; 10:3177-3191. [PMID: 35116625 PMCID: PMC8797668 DOI: 10.21037/tcr-21-426] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/09/2021] [Accepted: 06/25/2021] [Indexed: 01/03/2023]
Abstract
Background To establish a preoperative prediction model of myometrial invasion of bladder cancer (BC) based on the radiomics characteristics of multi-parameter thin-slice enhanced computed tomography (CT) imaging. Methods Data from 100 patients with BC were analyzed retrospectively. The patients were divided into two groups: muscular invasive BC and non-muscular invasive BC. The tumor region was segmented from enhanced CT images (arterial- and venous-phase calibration maps) of all patients using Slicer-3D software. We extracted 1,223 texture features from tumor image data based on the shape and gray-level co-occurrence matrix, gray size region matrix, gray run-length matrix, adjacent gray difference matrix, and gray correlation matrix. The patients were randomly divided into a training group (n=70) and a verification group (n=30) in a 7:3 ratio. Interclass correlation coefficients >0.75, least absolute shrinkage, and selection operator regression were used for feature selection. The prediction model was established by combining Rad-score, independent clinical factors, and support vector machine (SVM), and a radiomics nomogram was constructed. The nomogram was tested using the consistency index, calibration curve, time-dependent receiver operating characteristic curve, and clinical decision curve to predict the myometrial invasion of the bladder preoperatively. Results Six radiomics features that were significantly related to myometrial invasion of BC were selected to construct a predictive model. The area under the curve (AUC) values of training group and verification group based on SVM were 0.898 (95% CI: 0.820–0.976) and 0.702 (95% CI: 0.495–0.909), respectively. Single factor and multiple factor analysis showed that albuminuria (95% CI: 0.243–2.206, P=0.0014) and metabolic syndrome (95% CI: 0.850–2.935, P<0.001) were independent influencing factors of BC myometrial invasion. Clinical factors and 11 radiomics features were used to construct a comprehensive model for predicting the pathological grade of BC (radiomics + clinical). After a comprehensive comparison, we found that the overall effectiveness of the model (radiomics + clinical) was the highest (AUC =0.8457). Conclusions Based on the multi-parameter thin-layer enhanced CT radiomics feature can be used as a potential independent predictor of BC myometrial invasion, the model based on parameters can initially quantitatively characterize the risk of myometrial invasion, and has excellent potential for predicting myometrial invasion of BC.
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Affiliation(s)
- Qi Zhou
- Department of Urology, The First Affiliated Hospital of Soochow University, Suzhou, China
| | - Zhiyu Zhang
- Department of Urology, The First Affiliated Hospital of Soochow University, Suzhou, China
| | - Xiaojie Ang
- Department of Urology, The First Affiliated Hospital of Soochow University, Suzhou, China
| | - Haoyang Zhang
- Department of Urology, The First Affiliated Hospital of Soochow University, Suzhou, China
| | - Jun Ouyang
- Department of Urology, The First Affiliated Hospital of Soochow University, Suzhou, China
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ACR Appropriateness Criteria® Post-Treatment Surveillance of Bladder Cancer: 2021 Update. J Am Coll Radiol 2021; 18:S126-S138. [PMID: 33958107 DOI: 10.1016/j.jacr.2021.02.011] [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: 02/07/2021] [Accepted: 02/10/2021] [Indexed: 02/05/2023]
Abstract
Urothelial cancer is the second most common cancer, and cause of cancer death, related to the genitourinary tract. The goals of surveillance imaging after the treatment of urothelial cancer of the urinary bladder are to detect new or previously undetected urothelial tumors, to identify metastatic disease, and to evaluate for complications of therapy. For surveillance, patients can be stratified into one of three groups: 1) nonmuscle invasive bladder cancer with no symptoms or additional risk factors; 2) nonmuscle invasive bladder cancer with symptoms or additional risk factors; and 3) muscle invasive bladder cancer. This document is a review of the current literature for urothelial cancer and resulting recommendations for surveillance imaging. The American College of Radiology Appropriateness Criteria are evidence-based guidelines for specific clinical conditions that are reviewed annually by a multidisciplinary expert panel. The guideline development and revision include an extensive analysis of current medical literature from peer reviewed journals and the application of well-established methodologies (RAND/UCLA Appropriateness Method and Grading of Recommendations Assessment, Development, and Evaluation or GRADE) to rate the appropriateness of imaging and treatment procedures for specific clinical scenarios. In those instances where evidence is lacking or equivocal, expert opinion may supplement the available evidence to recommend imaging or treatment.
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Rouprêt M, Pignot G, Masson-Lecomte A, Compérat E, Audenet F, Roumiguié M, Houédé N, Larré S, Brunelle S, Xylinas E, Neuzillet Y, Méjean A. [French ccAFU guidelines - update 2020-2022: bladder cancer]. Prog Urol 2021; 30:S78-S135. [PMID: 33349431 DOI: 10.1016/s1166-7087(20)30751-x] [Citation(s) in RCA: 17] [Impact Index Per Article: 5.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/16/2022]
Abstract
OBJECTIVE - To update French guidelines for the management of bladder cancer specifically non-muscle invasive (NMIBC) and muscle-invasive bladder cancers (MIBC). METHODS - A Medline search was achieved between 2018 and 2020, notably regarding diagnosis, options of treatment and follow-up of bladder cancer, to evaluate different references with levels of evidence. RESULTS - Diagnosis of NMIBC (Ta, T1, CIS) is based on a complete deep resection of the tumor. The use of fluorescence and a second-look indication are essential to improve initial diagnosis. Risks of both recurrence and progression can be estimated using the EORTC score. A stratification of patients into low, intermediate and high risk groups is pivotal for recommending adjuvant treatment: instillation of chemotherapy (immediate post-operative, standard schedule) or intravesical BCG (standard schedule and maintenance). Cystectomy is recommended in BCG-refractory patients. Extension evaluation of MIBC is based on contrast-enhanced pelvic-abdominal and thoracic CT-scan. Multiparametric MRI can be an alternative. Cystectomy associated with extended lymph nodes dissection is considered the gold standard for non-metastatic MIBC. It should be preceded by cisplatin-based neoadjuvant chemotherapy in eligible patients. An orthotopic bladder substitution should be proposed to both male and female patients with no contraindication and in cases of negative frozen urethral samples; otherwise transileal ureterostomy is recommended as urinary diversion. All patients should be included in an Early Recovery After Surgery (ERAS) protocol. For metastatic MIBC, first-line chemotherapy using platin is recommended (GC or MVAC), when performans status (PS <1) and renal function (creatinine clearance >60 mL/min) allow it (only in 50% of cases). In second line treatment, immunotherapy with pembrolizumab demonstrated a significant improvement in overall survival. CONCLUSION - These updated French guidelines will contribute to increase the level of urological care for the diagnosis and treatment of patients diagnosed with NMIBC and MIBC.
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Affiliation(s)
- M Rouprêt
- Comité de cancérologie de l'Association française d'urologie, groupe vessie, Maison de l'urologie, 11, rue Viète, 75017 Paris, France; Sorbonne Université, GRC n° 5, Predictive onco-uro, AP-HP, hôpital Pitié-Salpêtrière, 47-83, boulevard de l'Hôpital, 75013 Paris, France.
| | - G Pignot
- Comité de cancérologie de l'Association française d'urologie, groupe vessie, Maison de l'urologie, 11, rue Viète, 75017 Paris, France; Service d'urologie, Institut Paoli-Calmettes, 232, boulevard de Sainte-Marguerite, 13009 Marseille, France
| | - A Masson-Lecomte
- Comité de cancérologie de l'Association française d'urologie, groupe vessie, Maison de l'urologie, 11, rue Viète, 75017 Paris, France; Service d'urologie, hôpital Saint-Louis, Université Paris-Diderot, 10, avenue de Verdun, 75010 Paris, France
| | - E Compérat
- Comité de cancérologie de l'Association française d'urologie, groupe vessie, Maison de l'urologie, 11, rue Viète, 75017 Paris, France; Service d'anatomie pathologique, hôpital Tenon, HUEP, Sorbonne Université, GRC n° 5, ONCOTYPE-URO, 4, rue de la Chine, 75020 Paris, France
| | - F Audenet
- Comité de cancérologie de l'Association française d'urologie, groupe vessie, Maison de l'urologie, 11, rue Viète, 75017 Paris, France; Service d'urologie, hôpital Foch, Université de Versailles - Saint-Quentin-en-Yvelines, 40, rue Worth, 92150 Suresnes, France
| | - M Roumiguié
- Comité de cancérologie de l'Association française d'urologie, groupe vessie, Maison de l'urologie, 11, rue Viète, 75017 Paris, France; Département d'urologie, CHU Rangueil, 1, avenue du Professeur-Jean-Poulhès, 31400 Toulouse, France
| | - N Houédé
- Comité de cancérologie de l'Association française d'urologie, groupe vessie, Maison de l'urologie, 11, rue Viète, 75017 Paris, France; Département d'oncologie médicale, CHU Carémeau, Université de Montpellier, rue du Professeur-Robert-Debré, 30900 Nîmes, France
| | - S Larré
- Comité de cancérologie de l'Association française d'urologie, groupe vessie, Maison de l'urologie, 11, rue Viète, 75017 Paris, France; Service d'urologie, CHU de Reims, rue du Général Koenig, 51100 Reims, France
| | - S Brunelle
- Comité de cancérologie de l'Association française d'urologie, groupe vessie, Maison de l'urologie, 11, rue Viète, 75017 Paris, France; Service de radiologie, Institut Paoli-Calmettes, 232, boulevard de Sainte-Marguerite, 13009 Marseille, France
| | - E Xylinas
- Comité de cancérologie de l'Association française d'urologie, groupe vessie, Maison de l'urologie, 11, rue Viète, 75017 Paris, France; Service d'urologie, hôpital Bichat-Claude-Bernard, Assistance publique-Hôpitaux de Paris, Université Paris-Descartes, 46, rue Henri-Huchard, 75018 Paris, France
| | - Y Neuzillet
- Comité de cancérologie de l'Association française d'urologie, groupe vessie, Maison de l'urologie, 11, rue Viète, 75017 Paris, France; Service d'urologie, CHU de Reims, rue du Général Koenig, 51100 Reims, France
| | - A Méjean
- Comité de cancérologie de l'Association française d'urologie, groupe vessie, Maison de l'urologie, 11, rue Viète, 75017 Paris, France; Service d'urologie, hôpital européen Georges-Pompidou, AP-HP, Université de Paris, 20, rue Leblanc, 75015 Paris, France
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Ahmed SA, Taher MGA, Ali WA, Ebrahem MAES. Diagnostic performance of contrast-enhanced dynamic and diffusion-weighted MR imaging in the assessment of tumor response to neoadjuvant therapy in muscle-invasive bladder cancer. Abdom Radiol (NY) 2021; 46:2712-2721. [PMID: 33547919 DOI: 10.1007/s00261-021-02963-7] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/12/2020] [Revised: 12/12/2020] [Accepted: 01/16/2021] [Indexed: 10/22/2022]
Abstract
OBJECTIVES To evaluate the diagnostic performance of DCE MRI and DWI in the assessment of pathologic complete response (pCR) after neoadjuvant chemotherapy (NAC) in patients with muscle-invasive bladder cancer (MIBC). METHODS This prospective study included 90 patients with MIBC who finished NAC. Two radiologists independently assessed MRI for the determination of semi-quantitative parameters (wash-in rate and wash-out rate) and apparent diffusion coefficient (ADC) value. The correlation between pCR and wash-in rate, wash-out rate, ADC value were analyzed. The area under the ROC curve (AUC) was used to evaluate the diagnostic performance for detecting pCR. Inter-reader agreement was assessed using the ICC statistics. RESULTS On cystectomy specimens, pCR was confirmed in (43.3%, 39/90). pCR is negatively correlated with wash-out rate (r = - 0.701, p = 0.01) and ADC value (r = - 0.621, p = 0.01). ADC value is positively correlated with wash-out rate (r = 0.631, p = 0.001). The diagnostic accuracy of ADC value (cut-off value: 0.911 × 10-3mm2/s) and wash-out rate (cut-off value: 0.677 min-1) in the identification of pCR was (92% for reader 1, 91% for reader 2), and (90% for reader 1, 88% for reader 2), respectively. The sensitivity, specificity for predicting pCR using ADC value + washout rate cut off values were 95.4%, 97.7% for reader 1, and 96%, 97% for reader 2, respectively. AUC was 0.981 for reader 1, 0.971 for reader 2. The overall reproducibility of the mean ADC value and wash out rate was excellent (ICC = 0.83-0.90). The ICC values for the mean ADC value, washout rate was 0.89 (95% CI 0.84-0.89) and 0.87 (95% CI 0.86-0.91), respectively. CONCLUSION Semi-quantitative parameter (wash-out) derived from DCE-MRI and ADC has the potential to assess the tumor's complete pathologic response. The two parameters using together can offer the best possibility to identify complete response to NAC in MIBC.
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Abouelkheir RT, Abdelhamid A, Abou El-Ghar M, El-Diasty T. Imaging of Bladder Cancer: Standard Applications and Future Trends. MEDICINA (KAUNAS, LITHUANIA) 2021; 57:medicina57030220. [PMID: 33804350 PMCID: PMC8000909 DOI: 10.3390/medicina57030220] [Citation(s) in RCA: 17] [Impact Index Per Article: 5.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 01/25/2021] [Revised: 02/20/2021] [Accepted: 02/23/2021] [Indexed: 12/24/2022]
Abstract
The evolution in imaging has had an increasing role in the diagnosis, staging and follow up of bladder cancer. Conventional cystoscopy is crucial in the diagnosis of bladder cancer. However, a cystoscopic procedure cannot always depict carcinoma in situ (CIS) or differentiate benign from malignant tumors prior to biopsy. This review will discuss the standard application, novel imaging modalities and their additive role in patients with bladder cancer. Staging can be performed with CT, but distinguishing between T1 and T2 BCa (bladder cancer) cannot be assessed. MRI can distinguish muscle-invasive from non-muscle-invasive tumors with accurate local staging. Vesical Imaging-Reporting and Data System (VI-RADS) score is a new diagnostic modality used for the prediction of tumor aggressiveness and therapeutic response. Bone scintigraphy is recommended in patients with muscle-invasive BCa with suspected bony metastases. CT shows low sensitivity for nodal staging; however, PET (Positron Emission Tomography)/CT is superior and highly recommended for restaging and determining therapeutic effect. PET/MRI is a new imaging technique in bladder cancer imaging and its role is promising. Texture analysis has shown significant steps in discriminating low-grade from high-grade bladder cancer. Radiomics could be a reliable method for quantitative assessment of the muscle invasion of bladder cancer.
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Sim KC, Sung DJ. Role of magnetic resonance imaging in tumor staging and follow-up for bladder cancer. Transl Androl Urol 2021; 9:2890-2907. [PMID: 33457263 PMCID: PMC7807353 DOI: 10.21037/tau-19-671] [Citation(s) in RCA: 6] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/29/2023] Open
Abstract
Urothelial carcinoma of the bladder is a common urologic malignancy. Complex factors, such as local stage, tumor grade, biologic potential, and various conditions, can affect the treatment strategy for bladder cancer. However, the local stage-in particular, the presence or absence of muscle invasion-significantly influences decisions regarding treatment strategy. The role of cystoscopy for screening, diagnosis, and transurethral resection cannot be overlooked. The importance of local staging with magnetic resonance imaging is increasing; magnetic resonance imaging of the bladder is considered a useful staging modality. Moreover, a radiologic reporting system for evaluating and scoring muscle invasion of bladder cancer was recently released. This system is based on multiparametric magnetic resonance imaging and is also expected to be feasible for post-treatment follow-up of bladder cancer. In this review, we discuss the role of magnetic resonance imaging in the local staging of urothelial carcinoma of the urinary bladder and post-treatment imaging. In addition, several technical aspects for obtaining appropriate quality magnetic resonance images of the bladder will be discussed.
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Affiliation(s)
- Ki Choon Sim
- Department of Radiology, Korea University Anam Hospital, Korea University College of Medicine, Seoul, Korea
| | - Deuk Jae Sung
- Department of Radiology, Korea University Anam Hospital, Korea University College of Medicine, Seoul, Korea
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Kim DW, Yoon SK, Kim SH. Urothelial Carcinoma of the Bladder: Radiologic Perspective. JOURNAL OF THE KOREAN SOCIETY OF RADIOLOGY 2021; 82:1033-1052. [PMID: 36238404 PMCID: PMC9432377 DOI: 10.3348/jksr.2021.0112] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 06/14/2021] [Revised: 07/19/2021] [Accepted: 08/12/2021] [Indexed: 11/19/2022]
Abstract
방광암은 비교적 흔히 진단되는 암이며 재발이 흔해 영상의학적 검사에서 흔히 만날 수 있다. 방광암의 정확한 진단과 병기 평가는 어떤 치료를 할 것인지를 정하고 예후를 평가하는데 큰 영향을 미친다. 방광암의 임상적 병기 평가는 요도경유방광종양절제술로 진단과 치료를 겸해서 이루어졌지만, 저평가되는 경우가 흔히 있다. 수술 전 방광암의 위치, 크기, 근육층 침범 유무, 림프절전이, 원격전이, 상부요로 암 유무 등을 영상의학적 검사에서 정확히 진단 및 평가할 수 있다면 더욱 적절히 처치 및 관리를 할 수 있다. 이런 정확한 진단을 위해서는 영상을 판독하는 영상의학과 의사는 먼저 방광암의 임상적인 특징을 잘 알고 있어야 한다. 그리고 영상 검사들의 종류와 특징, 한계를 알고 있어야 한다. 최근 자기공명영상의 발달로 방광 영상의 질 및 방광암의 진단과 평가가 향상되었다. 그리고 방광 이미징 보고 및 데이터시스템이 발표되어 객관적으로 방광암의 근육층 침범 가능성을 평가할 수 있게 되었다. 방광암 치료 종류를 알고 그에 따른 치료 후 변화에는 무엇이 있는지 어떻게 평가하는지도 알아야 하겠다. 이 종설에서는 방광 요로상피세포암의 특징과 다양한 영상의학 검사와 소견에 대해서 알아보고자 한다.
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Affiliation(s)
- Dong Won Kim
- Department of Radiology, Dong-A University College of Medicine, Busan, Korea
| | - Seong Kuk Yoon
- Department of Radiology, Dong-A University College of Medicine, Busan, Korea
| | - Sang Hyeon Kim
- Department of Radiology, Dong-A University College of Medicine, Busan, Korea
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22
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Allen BC, Oto A, Akin O, Alexander LF, Chong J, Froemming AT, Fulgham PF, Lloyd S, Maranchie JK, Mody RN, Patel BN, Schieda N, Turkbey IB, Vapiwala N, Venkatesan AM, Wang CL, Yoo DC, Lockhart ME. ACR Appropriateness Criteria® Post-Treatment Surveillance of Bladder Cancer. J Am Coll Radiol 2020; 16:S417-S427. [PMID: 31685109 DOI: 10.1016/j.jacr.2019.05.026] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/16/2019] [Accepted: 05/16/2019] [Indexed: 11/25/2022]
Abstract
Urothelial cancer is the second most common cancer, and cause of cancer death, related to the genitourinary tract. The goals of surveillance imaging after the treatment of urothelial cancer of the urinary bladder are to detect new or previously undetected urothelial tumors, to identify metastatic disease, and to evaluate for complications of therapy. For surveillance, patients can be stratified into one of three groups: (1) nonmuscle invasive bladder cancer with no symptoms or additional risk factors; (2) nonmuscle invasive bladder cancer with symptoms or additional risk factors; and (3) muscle invasive bladder cancer. This article is a review of the current literature for urothelial cancer and resulting recommendations for surveillance imaging. The American College of Radiology Appropriateness Criteria are evidence-based guidelines for specific clinical conditions that are reviewed annually by a multidisciplinary expert panel. The guideline development and revision include an extensive analysis of current medical literature from peer reviewed journals and the application of well-established methodologies (RAND/UCLA Appropriateness Method and Grading of Recommendations Assessment, Development, and Evaluation or GRADE) to rate the appropriateness of imaging and treatment procedures for specific clinical scenarios. In those instances where evidence is lacking or equivocal, expert opinion may supplement the available evidence to recommend imaging or treatment.
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Affiliation(s)
| | - Brian C Allen
- Panel Vice-Chair, Duke University Medical Center, Durham, North Carolina.
| | - Aytekin Oto
- Panel Chair, University of Chicago, Chicago, Illinois
| | - Oguz Akin
- Memorial Sloan Kettering Cancer Center, New York, New York
| | | | | | | | - Pat F Fulgham
- Urology Clinics of North Texas, Dallas, Texas, American Urological Association
| | - Shane Lloyd
- Huntsman Cancer Hospital, Salt Lake City, Utah
| | | | | | - Bhavik N Patel
- Stanford University Medical Center, Stanford, California
| | - Nicola Schieda
- Ottawa Hospital Research Institute and the Department of Radiology, The University of Ottawa, Ottawa, Ontario, Canada
| | | | - Neha Vapiwala
- University of Pennsylvania, Philadelphia, Pennsylvania
| | | | - Carolyn L Wang
- University of Washington, Seattle Cancer Care Alliance, Seattle, Washington
| | - Don C Yoo
- Rhode Island Hospital/The Warren Alpert Medical School of Brown University, Providence, Rhode Island
| | - Mark E Lockhart
- Specialty Chair, University of Alabama at Birmingham, Birmingham, Alabama
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23
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Panebianco V, Pecoraro M, Del Giudice F, Takeuchi M, Muglia VF, Messina E, Cipollari S, Giannarini G, Catalano C, Narumi Y. VI-RADS for Bladder Cancer: Current Applications and Future Developments. J Magn Reson Imaging 2020; 55:23-36. [PMID: 32939939 DOI: 10.1002/jmri.27361] [Citation(s) in RCA: 38] [Impact Index Per Article: 9.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/16/2020] [Revised: 08/25/2020] [Accepted: 08/27/2020] [Indexed: 01/07/2023] Open
Abstract
Bladder cancer (BCa) is among the ten most frequent cancers globally. It is the tumor with the highest lifetime treatment-associated costs, and among the tumors with the heaviest impacts on postoperative quality of life. The purpose of this article is to review the current applications and future perspectives of the Vesical Imaging Reporting and Data System (VI-RADS). VI-RADS is a newly developed scoring system aimed at standardization of MRI acquisition, interpretation, and reporting for BCa. An insight will be given on the BCa natural history, current MRI applications for local BCa staging with assessment of muscle invasiveness, and clinical implications of the score for disease management. Future applications include risk stratification of nonmuscle invasive BCa, surveillance, and prediction and monitoring of therapy response. LEVEL OF EVIDENCE: 3 TECHNICAL EFFICACY STAGE: 2.
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Affiliation(s)
- Valeria Panebianco
- Department of Radiological Sciences, Oncology and Pathology, Sapienza/Policlinico Umberto I, Rome, Italy
| | - Martina Pecoraro
- Department of Radiological Sciences, Oncology and Pathology, Sapienza/Policlinico Umberto I, Rome, Italy
| | - Francesco Del Giudice
- Department of Maternal-Infant and Urological Sciences, Sapienza/Policlinico Umberto I, Rome, Italy
| | | | - Valdair F Muglia
- Department of Medical Images, Radiation Therapy and Oncohematology, Ribeirao Preto Medical School, University of Sao Paulo, Ribeirao Preto, Brazil
| | - Emanuele Messina
- Department of Radiological Sciences, Oncology and Pathology, Sapienza/Policlinico Umberto I, Rome, Italy
| | - Stefano Cipollari
- Department of Radiological Sciences, Oncology and Pathology, Sapienza/Policlinico Umberto I, Rome, Italy
| | - Gianluca Giannarini
- Urology Unit, Academic Medical Centre "Santa Maria della Misericordia", Udine, Italy
| | - Carlo Catalano
- Department of Radiological Sciences, Oncology and Pathology, Sapienza/Policlinico Umberto I, Rome, Italy
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24
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Rouprêt M, Neuzillet Y, Pignot G, Compérat E, Audenet F, Houédé N, Larré S, Masson-Lecomte A, Colin P, Brunelle S, Xylinas E, Roumiguié M, Méjean A. French ccAFU guidelines – Update 2018–2020: Bladder cancer. Prog Urol 2020; 28:R48-R80. [PMID: 32093463 DOI: 10.1016/j.purol.2019.01.006] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/23/2018] [Accepted: 07/30/2018] [Indexed: 12/27/2022]
Abstract
Objective To propose updated French guidelines for non-muscle invasive (NMIBC) and muscle-invasive (MIBC) bladder cancers. Methods A Medline search was achieved between 2015 and 2018, as regards diagnosis, options of treatment and follow-up of bladder cancer, to evaluate different references with levels of evidence. Results Diagnosis of NMIBC (Ta, T1, CIS) is based on a complete deep resection of the tumor. The use of fluorescence and a second-look indication are essential to improve initial diagnosis. Risks of both recurrence and progression can be estimated using the EORTC score. A stratification of patients into low, intermediate and high risk groups is pivotal for recommending adjuvant treatment: instillation of chemotherapy (immediate post-operative, standard schedule) or intravesical BCG (standard schedule and maintenance). Cystectomy is recommended in BCG-refractory patients. Extension evaluation of MIBC is based on contrast-enhanced pelvic-abdominal and thoracic CT-scan. Multiparametric MRI can be an alternative. Cystectomy associated with extended lymph nodes dissection is considered the gold standard for non-metastatic MIBC. It should be preceded by cisplatin-based neoadjuvant chemotherapy in eligible patients. An orthotopic bladder substitution should be proposed to both male and female patients with no contraindication and in cases of negative frozen urethral samples; otherwise transileal ureterostomy is recommended as urinary diversion. All patients should be included in an Early Recovery After Surgery (ERAS) protocol. For metastatic MIBC, first-line chemotherapy using platin is recommended (GC or MVAC), when performans status (PS < 1) and renal function (creatinine clearance > 60 mL/min) allow it (only in 50 % of cases). In second line treatment, immunotherapy with pembrolizumab demonstrated a significant improvement in overall survival. Conclusion These updated French guidelines will contribute to increase the level of urological care for the diagnosis and treatment for NMIBC and MIBC.
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Affiliation(s)
- M Rouprêt
- Comité de cancérologie de l’Association française d’urologie, groupe vessie, maison de l’urologie, 11, rue Viète, 75017 Paris, France,GRC no 5, ONCOTYPE-URO, hôpital Pitié-Salpêtrière, Sorbonne université, AP–HP, 75013 Paris, France
| | - Y Neuzillet
- Comité de cancérologie de l’Association française d’urologie, groupe vessie, maison de l’urologie, 11, rue Viète, 75017 Paris, France,Service d’urologie, hôpital Foch, université de Versailles-Saint-Quentin-en-Yvelines, 92150 Suresnes, France
| | - G Pignot
- Comité de cancérologie de l’Association française d’urologie, groupe vessie, maison de l’urologie, 11, rue Viète, 75017 Paris, France,Service de chirurgie oncologique 2, institut Paoli-Calmettes, 13008 Marseille, France
| | - E Compérat
- Comité de cancérologie de l’Association française d’urologie, groupe vessie, maison de l’urologie, 11, rue Viète, 75017 Paris, France,Service d’anatomie pathologique, GRC no 5, ONCOTYPE-URO, hôpital Tenon, HUEP, Sorbonne université, AP-HP, 75020 Paris, France
| | - F Audenet
- Comité de cancérologie de l’Association française d’urologie, groupe vessie, maison de l’urologie, 11, rue Viète, 75017 Paris, France,Service d’urologie, hôpital européen Georges-Pompidou, université Paris Descartes, AP–HP, 75015 Paris, France
| | - N Houédé
- Comité de cancérologie de l’Association française d’urologie, groupe vessie, maison de l’urologie, 11, rue Viète, 75017 Paris, France,Département d’oncologie médicale, CHU Caremaux, Montpellier université, 30000 Nîmes, France
| | - S Larré
- Comité de cancérologie de l’Association française d’urologie, groupe vessie, maison de l’urologie, 11, rue Viète, 75017 Paris, France,Service d’urologie, CHU de Reims, Reims, 51100 France
| | - A Masson-Lecomte
- Comité de cancérologie de l’Association française d’urologie, groupe vessie, maison de l’urologie, 11, rue Viète, 75017 Paris, France,Service d’urologie, hôpital Saint-Louis, université Paris-Diderot, AP–HP, 75010 Paris, France
| | - P Colin
- Comité de cancérologie de l’Association française d’urologie, groupe vessie, maison de l’urologie, 11, rue Viète, 75017 Paris, France,Service d’urologie, hôpital privé de la Louvière, 59800 Lille, France
| | - S Brunelle
- Comité de cancérologie de l’Association française d’urologie, groupe vessie, maison de l’urologie, 11, rue Viète, 75017 Paris, France,Service de radiologie, institut Paoli-Calmettes, 13008 Marseille, France
| | - E Xylinas
- Comité de cancérologie de l’Association française d’urologie, groupe vessie, maison de l’urologie, 11, rue Viète, 75017 Paris, France,Service d’urologie de l’hôpital Bichat-Claude-Bernard, université Paris-Descartes, AP–HP, 75018 Paris, France
| | - M Roumiguié
- Comité de cancérologie de l’Association française d’urologie, groupe vessie, maison de l’urologie, 11, rue Viète, 75017 Paris, France,Département d’urologie, CHU Rangueil, Toulouse, 31000 France
| | - A Méjean
- Comité de cancérologie de l’Association française d’urologie, groupe vessie, maison de l’urologie, 11, rue Viète, 75017 Paris, France,Service d’urologie, hôpital européen Georges-Pompidou, université Paris Descartes, AP–HP, 75015 Paris, France
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25
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Woo S, Panebianco V, Narumi Y, Del Giudice F, Muglia VF, Takeuchi M, Ghafoor S, Bochner BH, Goh AC, Hricak H, Catto JWF, Vargas HA. Diagnostic Performance of Vesical Imaging Reporting and Data System for the Prediction of Muscle-invasive Bladder Cancer: A Systematic Review and Meta-analysis. Eur Urol Oncol 2020; 3:306-315. [PMID: 32199915 DOI: 10.1016/j.euo.2020.02.007] [Citation(s) in RCA: 88] [Impact Index Per Article: 22.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/27/2019] [Revised: 01/31/2020] [Accepted: 02/24/2020] [Indexed: 01/23/2023]
Abstract
CONTEXT A noninvasive multiparametric magnetic resonance imaging (MRI)-based scoring system for predicting muscle-invasive bladder cancer (MIBC), the "Vesical Imaging Reporting and Data System" (VI-RADS), was recently developed by an international multidisciplinary panel. Since then, a few studies evaluating the value of VI-RADS for predicting MIBC have been published. OBJECTIVE To review the diagnostic performance of VI-RADS for the prediction of MIBC. EVIDENCE ACQUISITION PubMed and EMBASE databases were searched up to November 10, 2019. We included diagnostic accuracy studies using VI-RADS to predict MIBC using cystectomy or transurethral resection as the reference standard. Methodological quality was evaluated with Quality Assessment of Diagnostic Accuracy Studies-2. Sensitivity and specificity were pooled and plotted using hierarchical summary receiver operating characteristics (HSROC) modeling. Meta-regression analyses were done to explore heterogeneity. EVIDENCE SYNTHESIS Six studies (1770 patients) were included. Pooled sensitivity and specificity were 0.83 (95% confidence interval [CI] 0.70-0.90) and 0.90 (95% CI 0.83-0.95), and the area under the HSROC curve was 0.94 (95% CI 0.91-0.95). Heterogeneity was present among the studies (Q = 29.442, p < 0.01; I2 = 87.93%, and 90.99% for sensitivity and specificity). Meta-regression analyses showed that the number of patients (>205 vs ≤205), magnetic field strength (3 vs 1.5 T), T2-weighted image slice thickness (3 vs 4 mm), and VI-RADS cutoff score (≥3 vs ≥4) were significant factors affecting heterogeneity (p ≤ 0.03). CONCLUSIONS VI-RADS shows good sensitivity and specificity for determining MIBC. Technical factors associated with MRI acquisition and cutoff scores need to be taken into consideration as they may affect performance. PATIENT SUMMARY A recently established noninvasive magnetic resonance imaging-based scoring system shows good diagnostic performance in detecting muscle-invasive bladder cancer.
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Affiliation(s)
- Sungmin Woo
- Department of Radiology, Memorial Sloan Kettering Cancer Center, New York, NY, USA
| | - Valeria Panebianco
- Department of Radiological, Oncological and Anatomopathological Sciences, "Sapienza" Rome University, Policlinico Umberto I Hospital, Rome, Italy
| | - Yoshifumi Narumi
- Departments of Radiology and Health Science, Kyoto Tachibana University, Kyoto, Japan
| | - Francesco Del Giudice
- Department of Radiological, Oncological and Anatomopathological Sciences, "Sapienza" Rome University, Policlinico Umberto I Hospital, Rome, Italy
| | - Valdair F Muglia
- Imaging Division, Ribeirao Preto Medical School, University of Sao Paulo, Ribeirao Preto, Brazil
| | | | - Soleen Ghafoor
- Department of Radiology, Memorial Sloan Kettering Cancer Center, New York, NY, USA
| | - Bernard H Bochner
- Urology Service, Department of Surgery, Memorial Sloan Kettering Cancer Center, New York, NY, USA
| | - Alvin C Goh
- Urology Service, Department of Surgery, Memorial Sloan Kettering Cancer Center, New York, NY, USA
| | - Hedvig Hricak
- Department of Radiology, Memorial Sloan Kettering Cancer Center, New York, NY, USA
| | - James W F Catto
- Academic Urology Unit, University of Sheffield, Sheffield, UK
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26
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Caglic I, Panebianco V, Vargas HA, Bura V, Woo S, Pecoraro M, Cipollari S, Sala E, Barrett T. MRI of Bladder Cancer: Local and Nodal Staging. J Magn Reson Imaging 2020; 52:649-667. [PMID: 32112505 DOI: 10.1002/jmri.27090] [Citation(s) in RCA: 46] [Impact Index Per Article: 11.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/18/2019] [Revised: 01/20/2020] [Accepted: 01/21/2020] [Indexed: 12/24/2022] Open
Abstract
Accurate staging of bladder cancer (BC) is critical, with local tumor staging directly influencing management decisions and affecting prognosis. However, clinical staging based on clinical examination, including cystoscopy and transurethral resection of bladder tumor (TURBT), often understages patients compared to final pathology at radical cystectomy and lymph node (LN) dissection, mainly due to underestimation of the depth of local invasion and the presence of LN metastasis. MRI has now become established as the modality of choice for the local staging of BC and can be additionally utilized for the assessment of regional LN involvement and tumor spread to the pelvic bones and upper urinary tract (UUT). The recent development of the Vesical Imaging-Reporting and Data System (VI-RADS) recommendations has led to further improvements in bladder MRI, enabling standardization of image acquisition and reporting. Multiparametric magnetic resonance imaging (mpMRI) incorporating morphological and functional imaging has been proven to further improve the accuracy of primary and recurrent tumor detection and local staging, and has shown promise in predicting tumor aggressiveness and monitoring response to therapy. These sequences can also be utilized to perform radiomics, which has shown encouraging initial results in predicting BC grade and local stage. In this article, the current state of evidence supporting MRI in local, regional, and distant staging in patients with BC is reviewed. LEVEL OF EVIDENCE: 3 TECHNICAL EFFICACY STAGE: 2 J. Magn. Reson. Imaging 2020;52:649-667.
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Affiliation(s)
- Iztok Caglic
- Department of Radiology, Addenbrooke's Hospital and University of Cambridge, Cambridge, UK
| | - Valeria Panebianco
- Department of Radiological, Oncological and Anatomo-pathological sciences, "Sapienza University", Rome, Italy
| | - Hebert A Vargas
- Department of Radiology, Memorial Sloan Kettering Cancer Center, New York, New York, USA
| | - Vlad Bura
- Department of Radiology, County Clinical Emergency Hospital, Cluj-Napoca, Romania
| | - Sungmin Woo
- Department of Radiology, Memorial Sloan Kettering Cancer Center, New York, New York, USA
| | - Martina Pecoraro
- Department of Radiological, Oncological and Anatomo-pathological sciences, "Sapienza University", Rome, Italy
| | - Stefano Cipollari
- Department of Radiological, Oncological and Anatomo-pathological sciences, "Sapienza University", Rome, Italy
| | - Evis Sala
- Department of Radiology, Addenbrooke's Hospital and University of Cambridge, Cambridge, UK
| | - Tristan Barrett
- Department of Radiology, Addenbrooke's Hospital and University of Cambridge, Cambridge, UK
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27
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Tang X, Xu X, Han Z, Bai G, Wang H, Liu Y, Du P, Liang Z, Zhang J, Lu H, Yin H. Elaboration of a multimodal MRI-based radiomics signature for the preoperative prediction of the histological subtype in patients with non-small-cell lung cancer. Biomed Eng Online 2020; 19:5. [PMID: 31964407 PMCID: PMC6975040 DOI: 10.1186/s12938-019-0744-0] [Citation(s) in RCA: 15] [Impact Index Per Article: 3.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/25/2019] [Accepted: 12/27/2019] [Indexed: 02/07/2023] Open
Abstract
BACKGROUND Non-invasive discrimination between lung squamous cell carcinoma (LUSC) and lung adenocarcinoma (LUAD) subtypes of non-small-cell lung cancer (NSCLC) could be very beneficial to the patients unfit for the invasive diagnostic procedures. The aim of this study was to investigate the feasibility of utilizing the multimodal magnetic resonance imaging (MRI) radiomics and clinical features in classifying NSCLC. This retrospective study involved 148 eligible patients with postoperative pathologically confirmed NSCLC. The study was conducted in three steps: (1) feature extraction was performed using the online freely available package with the multimodal MRI data; (2) feature selection was performed using the Student's t test and support vector machine (SVM)-based recursive feature elimination method with the training cohort (n = 100), and the performance of these selected features was evaluated using both the training and the validation cohorts (n = 48) with a non-linear SVM classifier; (3) a Radscore model was then generated using logistic regression algorithm; (4) Integrating the Radscore with the semantic clinical features, a radiomics-clinical nomogram was developed, and its overall performance was evaluated with both cohorts. RESULTS Thirteen optimal features achieved favorable discrimination performance with both cohorts, with area under the curve (AUC) of 0.819 and 0.824, respectively. The radiomics-clinical nomogram integrating the Radscore with the independent clinical predictors exhibited more favorable discriminative power, with AUC improved to 0.901 and 0.872 in both cohorts, respectively. The Hosmer-Lemeshow test and decision curve analysis results furtherly showed good predictive precision and clinical usefulness of the nomogram. CONCLUSION Non-invasive histological subtype stratification of NSCLC can be done favorably using multimodal MRI radiomics features. Integrating the radiomics features with the clinical features could further improve the performance of the histological subtype stratification in patients with NSCLC.
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Affiliation(s)
- Xing Tang
- Department of Radiology, Xijing Hospital, Fourth Military Medical University, No. 169 Changle West Road, Xi'an, 710032, Shaanxi, People's Republic of China
| | - Xiaopan Xu
- School of Biomedical Engineering, Fourth Military Medical University, No. 169 Changle West Road, Xi'an, 710032, Shaanxi, People's Republic of China
| | - Zhiping Han
- Department of Respiratory Medicine, Xijing Hospital, Fourth Military Medical University, No. 169 Changle West Road, Xi'an, 710032, Shaanxi, People's Republic of China
| | - Guoyan Bai
- Department of Clinical Laboratory, Shaanxi Provincial People's Hospital, Xi'an, Shaanxi, People's Republic of China
| | - Hong Wang
- Department of Radiology, Xijing Hospital, Fourth Military Medical University, No. 169 Changle West Road, Xi'an, 710032, Shaanxi, People's Republic of China
| | - Yang Liu
- School of Biomedical Engineering, Fourth Military Medical University, No. 169 Changle West Road, Xi'an, 710032, Shaanxi, People's Republic of China
| | - Peng Du
- School of Biomedical Engineering, Fourth Military Medical University, No. 169 Changle West Road, Xi'an, 710032, Shaanxi, People's Republic of China
| | - Zhengrong Liang
- Departments of Radiology, School of Computer Science and Biomedical Engineering, State University of New York, Stony Brook, NY, USA
| | - Jian Zhang
- Department of Respiratory Medicine, Xijing Hospital, Fourth Military Medical University, No. 169 Changle West Road, Xi'an, 710032, Shaanxi, People's Republic of China.
| | - Hongbing Lu
- School of Biomedical Engineering, Fourth Military Medical University, No. 169 Changle West Road, Xi'an, 710032, Shaanxi, People's Republic of China.
| | - Hong Yin
- Department of Radiology, Xijing Hospital, Fourth Military Medical University, No. 169 Changle West Road, Xi'an, 710032, Shaanxi, People's Republic of China.
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28
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Bedeutung der VI-RADS-Klassifikation für die Bildgebung beim Harnblasenkarzinom – Stand der Dinge. Urologe A 2019; 58:1443-1450. [DOI: 10.1007/s00120-019-01061-3] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/19/2022]
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29
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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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Rouprêt M, Neuzillet Y, Pignot G, Compérat E, Audenet F, Houédé N, Larré S, Masson-Lecomte A, Colin P, Brunelle S, Xylinas E, Roumiguié M, Méjean A. RETRACTED: Recommandations françaises du Comité de Cancérologie de l’AFU — Actualisation 2018—2020 : tumeurs de la vessie French ccAFU guidelines — Update 2018—2020: Bladder cancer. Prog Urol 2018; 28:S46-S78. [PMID: 30366708 DOI: 10.1016/j.purol.2018.07.283] [Citation(s) in RCA: 19] [Impact Index Per Article: 3.2] [Reference Citation Analysis] [Abstract] [Key Words] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/23/2018] [Accepted: 07/30/2018] [Indexed: 12/24/2022]
Abstract
This article has been retracted: please see Elsevier Policy on Article Withdrawal (http://www.elsevier.com/locate/withdrawalpolicy).
Cet article est retiré de la publication à la demande des auteurs car ils ont apporté des modifications significatives sur des points scientifiques après la publication de la première version des recommandations.
Le nouvel article est disponible à cette adresse: doi:10.1016/j.purol.2019.01.006.
C’est cette nouvelle version qui doit être utilisée pour citer l’article.
This article has been retracted at the request of the authors, as it is not based on the definitive version of the text because some scientific data has been corrected since the first issue was published.
The replacement has been published at the doi:10.1016/j.purol.2019.01.006.
That newer version of the text should be used when citing the article.
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Affiliation(s)
- M Rouprêt
- Comité de cancérologie de l'Association française d'urologie, groupe vessie, maison de l'urologie, 11, rue Viète, 75017 Paris, France; Sorbonne université, GRC no5, ONCOTYPE-URO, hôpital Pitié-Salpêtrière, AP-HP, 75013 Paris, France.
| | - Y Neuzillet
- Comité de cancérologie de l'Association française d'urologie, groupe vessie, maison de l'urologie, 11, rue Viète, 75017 Paris, France; Service d'urologie, hôpital Foch, université de Versailles-Saint-Quentin-en-Yvelines, 92150 Suresnes, France
| | - G Pignot
- Comité de cancérologie de l'Association française d'urologie, groupe vessie, maison de l'urologie, 11, rue Viète, 75017 Paris, France; Service de chirurgie oncologique 2, institut Paoli-Calmettes, 13008 Marseille, France
| | - E Compérat
- Comité de cancérologie de l'Association française d'urologie, groupe vessie, maison de l'urologie, 11, rue Viète, 75017 Paris, France; Service d'anatomie pathologique, hôpital Tenon, HUEP, Sorbonne université, GRC no5, ONCOTYPE-URO, 75020 Paris, France
| | - F Audenet
- Comité de cancérologie de l'Association française d'urologie, groupe vessie, maison de l'urologie, 11, rue Viète, 75017 Paris, France; Service d'urologie, hôpital européen Georges-Pompidou, université Paris Descartes, AP-HP, 75015 Paris, France
| | - N Houédé
- Comité de cancérologie de l'Association française d'urologie, groupe vessie, maison de l'urologie, 11, rue Viète, 75017 Paris, France; Département d'oncologie médicale, CHU Caremaux, Montpellier université, 30000 Nîmes, France
| | - S Larré
- Comité de cancérologie de l'Association française d'urologie, groupe vessie, maison de l'urologie, 11, rue Viète, 75017 Paris, France; Service d'urologie, CHU de Reims, Reims, 51100 France
| | - A Masson-Lecomte
- Comité de cancérologie de l'Association française d'urologie, groupe vessie, maison de l'urologie, 11, rue Viète, 75017 Paris, France; Service d'urologie, hôpital Saint-Louis, université Paris-Diderot, 75010 Paris, France
| | - P Colin
- Comité de cancérologie de l'Association française d'urologie, groupe vessie, maison de l'urologie, 11, rue Viète, 75017 Paris, France; Service d'urologie, hôpital privé de la Louvière, 59800 Lille, France
| | - S Brunelle
- Comité de cancérologie de l'Association française d'urologie, groupe vessie, maison de l'urologie, 11, rue Viète, 75017 Paris, France; Service de radiologie, institut Paoli-Calmettes, 13008 Marseille, France
| | - E Xylinas
- Comité de cancérologie de l'Association française d'urologie, groupe vessie, maison de l'urologie, 11, rue Viète, 75017 Paris, France; Service d'urologie de l'hôpital Bichat-Claude-Bernard, université Paris-Descartes, Assistance publique-Hôpitaux de Paris, 75018 Paris, France
| | - M Roumiguié
- Comité de cancérologie de l'Association française d'urologie, groupe vessie, maison de l'urologie, 11, rue Viète, 75017 Paris, France; Département d'urologie, CHU Rangueil, Toulouse, 31000 France
| | - A Méjean
- Comité de cancérologie de l'Association française d'urologie, groupe vessie, maison de l'urologie, 11, rue Viète, 75017 Paris, France; Service d'urologie, hôpital européen Georges-Pompidou, université Paris Descartes, AP-HP, 75015 Paris, France
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Hoshi S, Horio K, Numahata K, Hoshi K, Bilim V, Sasagawa I. Usefulness of multi‑parametric MRI for diagnosis of invasive urothelial cancer: Case reports of bladder and ureteral cancer. Mol Clin Oncol 2018; 9:515-518. [DOI: 10.3892/mco.2018.1713] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/06/2018] [Accepted: 07/31/2018] [Indexed: 11/05/2022] Open
Affiliation(s)
- Senji Hoshi
- Department of Urology, Yamagata Tokushukai Hospital, Yamagata, Yamagata 990‑0834, Japan
| | - Keiji Horio
- Department of Radiology, Yamagata Tokushukai Hospital, Yamagata, Yamagata 990‑0834, Japan
| | - Kenji Numahata
- Department of Urology, Yamagata Prefectural Central Hospital, Yamagata, Yamagata 990‑2292, Japan
| | - Kiyotsugu Hoshi
- Department of Urology, Yamagata Tokushukai Hospital, Yamagata, Yamagata 990‑0834, Japan
| | - Vladimir Bilim
- Department of Urology, Kameda Daiichi Hospital, Niigata, Niigata 950‑0165, Japan
| | - Isoji Sasagawa
- Department of Urology, Yamagata Tokushukai Hospital, Yamagata, Yamagata 990‑0834, Japan
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Panebianco V, Narumi Y, Altun E, Bochner BH, Efstathiou JA, Hafeez S, Huddart R, Kennish S, Lerner S, Montironi R, Muglia VF, Salomon G, Thomas S, Vargas HA, Witjes JA, Takeuchi M, Barentsz J, Catto JWF. Multiparametric Magnetic Resonance Imaging for Bladder Cancer: Development of VI-RADS (Vesical Imaging-Reporting And Data System). Eur Urol 2018; 74:294-306. [PMID: 29755006 PMCID: PMC6690492 DOI: 10.1016/j.eururo.2018.04.029] [Citation(s) in RCA: 316] [Impact Index Per Article: 52.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/08/2018] [Accepted: 04/26/2018] [Indexed: 01/10/2023]
Abstract
CONTEXT Management of bladder cancer (BC) is primarily driven by stage, grade, and biological potential. Knowledge of each is derived using clinical, histopathological, and radiological investigations. This multimodal approach reduces the risk of error from one particular test, but may present a staging dilemma when results conflict. Multiparametric magnetic resonance imaging (mpMRI) may improve patient care through imaging of the bladder with better resolution of the tissue planes than computed tomography and without radiation exposure. OBJECTIVE To define a standardized approach to imaging and reporting mpMRI for BC, by developing a VI-RADS score. EVIDENCE ACQUISITION We created VI-RADS (Vesical Imaging-Reporting And Data System) through consensus using existing literature. EVIDENCE SYNTHESIS We describe standard imaging protocols and reporting criteria (including size, location, multiplicity, and morphology) for bladder mpMRI. We propose a five-point VI-RADS score, derived using T2-weighted MRI, diffusion-weighted imaging, and dynamic contrast enhancement, which suggests the risks of muscle invasion. We include sample images used to understand VI-RADS. CONCLUSIONS We hope that VI-RADS will standardize reporting, facilitate comparisons between patients, and in future years, will be tested and refined if necessary. While we do not advocate mpMRI for all patients with BC, this imaging may compliment pathology or reduce radiation-based imaging. Bladder mpMRI may be most useful in patients with non-muscle-invasive cancers, in expediting radical treatment or for determining response to bladder-sparing approaches. PATIENT SUMMARY Magnetic resonance imaging (MRI) scans for bladder cancer are becoming more common and may provide accurate information that helps improve patient care. Here, we describe a standardized reporting criterion for bladder MRI. This should improve communication between doctors and allow better comparisons between patients.
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Affiliation(s)
- Valeria Panebianco
- Department of Radiological Sciences, Oncology and Pathology, Sapienza University of Rome, Italy.
| | - Yoshifumi Narumi
- Department of Radiology, Osaka Medical College, Takatsuki, Osaka, Japan
| | - Ersan Altun
- Department of Radiology, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA
| | - Bernard H Bochner
- Department of Surgery, Memorial Sloan-Kettering Cancer Center, New York, NY, USA
| | - Jason A Efstathiou
- Department of Radiation Oncology, Massachusetts General Hospital, Harvard Medical School, Boston, MA, USA
| | - Shaista Hafeez
- The Institute of Cancer Research, Sutton, Surrey, UK; The Royal Marsden NHS Foundation Trust, Sutton, Surrey, UK
| | - Robert Huddart
- The Institute of Cancer Research, Sutton, Surrey, UK; The Royal Marsden NHS Foundation Trust, Sutton, Surrey, UK
| | - Steve Kennish
- Department of Radiology, Sheffield Teaching Hospitals NHS Trust, Sheffield, UK
| | - Seth Lerner
- Scott Department of Urology, Baylor College of Medicine, Houston, TX, USA
| | - Rodolfo Montironi
- Section of Pathological Anatomy, Polytechnic University of the Marche Region, School of Medicine, United Hospitals, Ancona, Italy
| | - Valdair F Muglia
- Imaging Division, Ribeirao Preto Medical School, University of Sao Paulo, Ribeirao Preto, Brazil
| | - Georg Salomon
- Martini Clinic, University Clinic Hamburg Eppendorf, Hamburg, Germany
| | - Stephen Thomas
- Department of Radiology, University of Chicago, Chicago, IL, USA
| | | | - J Alfred Witjes
- Department of Urology, Radboud University Medical Center, Nijmegen, The Netherlands
| | | | - Jelle Barentsz
- Department of Radiology, Radboud University Medical Center, Nijmegen, The Netherlands
| | - James W F Catto
- Academic Urology Unit, University of Sheffield, Sheffield, UK
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Salmanoglu E, Halpern E, Trabulsi EJ, Kim S, Thakur ML. A glance at imaging bladder cancer. Clin Transl Imaging 2018; 6:257-269. [PMID: 30456208 DOI: 10.1007/s40336-018-0284-9] [Citation(s) in RCA: 11] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/03/2023]
Abstract
Purpose Early and accurate diagnosis of Bladder cancer (BCa) will contribute extensively to the management of the disease. The purpose of this review was to briefly describe the conventional imaging methods and other novel imaging modalities used for early detection of BCa and outline their pros and cons. Methods Literature search was performed on Pubmed, PMC, and Google scholar for the period of January 2014 to February 2018 and using such words as "bladder cancer, bladder tumor, bladder cancer detection, diagnosis and imaging". Results A total of 81 published papers were retrieved and are included in the review. For patients with hematuria and suspected of BCa, cystoscopy and CT are most commonly recommended. Ultrasonography, MRI, PET/CT using 18F-FDG or 11C-choline and recently PET/MRI using 18F-FDG also play a prominent role in detection of BCa. Conclusion For initial diagnosis of BCa, cystoscopy is generally performed. However, cystoscopy can not accurately detect carcinoma insitu (CIS) and can not distinguish benign masses from malignant lesions. CT is used in two modes, CT and computed tomographic urography (CTU), both for dignosis and staging of BCa. However, they cannot differentiate T1 and T2 BCa. MRI is performed to diagnose invasive BCa and can differentiate muscle invasive bladder carcinoma (MIBC) from non-muscle invasive bladder carcinoma (NMIBC). However, CT and MRI have low sensitivity for nodal staging. For nodal staging PET/CT is preferred. PET/MRI provides better differentiation of normal and pathologic structures as compared with PET/CT. Nonetheless none of the approaches can address all issues related for the management of BCa. Novel imaging methods that target specific biomarkers, image BCa early and accurately, and stage the disease are warranted.
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Affiliation(s)
- Ebru Salmanoglu
- Department of Radiology, Thomas Jefferson University, Philadelphia, PA 19107
- Department of Nuclear Medicine, Kahramanmaras Sutcu Imam University Faculty of Medicine, Avsar Kampus, Kahramanmaras, Turkey 46040
| | - Ethan Halpern
- Department of Radiology, Thomas Jefferson University, Philadelphia, PA 19107
- Sidney Kimmel Cancer Center, Thomas Jefferson University, Philadelphia, PA 19107
| | - Edouard J Trabulsi
- Sidney Kimmel Cancer Center, Thomas Jefferson University, Philadelphia, PA 19107
- Department of Urology, Thomas Jefferson University, Philadelphia, PA 19107
| | - Sung Kim
- Department of Radiology, Thomas Jefferson University, Philadelphia, PA 19107
| | - Mathew L Thakur
- Department of Radiology, Thomas Jefferson University, Philadelphia, PA 19107
- Sidney Kimmel Cancer Center, Thomas Jefferson University, Philadelphia, PA 19107
- Department of Urology, Thomas Jefferson University, Philadelphia, PA 19107
- Department of Radiation Oncology, Thomas Jefferson University, Philadelphia, PA 19107
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Woo S, Cho JY. Bladder Cancer. Bladder Cancer 2018. [DOI: 10.1016/b978-0-12-809939-1.00008-4] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/16/2022]
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Wang F, Jin D, Hua XL, Zhao ZZ, Wu LM, Chen WB, Wu GY, Chen XX, Chen HG. Investigation of diffusion kurtosis imaging for discriminating tumors from inflammatory lesions after treatment for bladder cancer. J Magn Reson Imaging 2017; 48:259-265. [PMID: 29232021 DOI: 10.1002/jmri.25924] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.1] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/21/2017] [Accepted: 11/28/2017] [Indexed: 11/08/2022] Open
Affiliation(s)
- Fang Wang
- Department of Radiology; Ren Ji Hospital, School of Medicine, Shanghai Jiao Tong University; Shanghai China
| | - Di Jin
- Department of Urology; Ren Ji Hospital, School of Medicine, Shanghai Jiao Tong University; Shanghai China
| | - Xiao-Lan Hua
- Department of Radiology; Ren Ji Hospital, School of Medicine, Shanghai Jiao Tong University; Shanghai China
| | - Zi-Zhou Zhao
- Department of Radiology; Ren Ji Hospital, School of Medicine, Shanghai Jiao Tong University; Shanghai China
| | - Lian-Ming Wu
- Department of Radiology; Ren Ji Hospital, School of Medicine, Shanghai Jiao Tong University; Shanghai China
| | | | - Guang-Yu Wu
- Department of Radiology; Ren Ji Hospital, School of Medicine, Shanghai Jiao Tong University; Shanghai China
| | - Xiao-Xi Chen
- Department of Radiology; Ren Ji Hospital, School of Medicine, Shanghai Jiao Tong University; Shanghai China
| | - Hai-Ge Chen
- Department of Urology; Ren Ji Hospital, School of Medicine, Shanghai Jiao Tong University; Shanghai China
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Multiparametric-MRI as a comprehensive study in evaluation, characterization & local staging of urinary bladder carcinomas. THE EGYPTIAN JOURNAL OF RADIOLOGY AND NUCLEAR MEDICINE 2017. [DOI: 10.1016/j.ejrnm.2017.01.011] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.1] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/21/2022] Open
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Prospective Pilot Study to Evaluate the Incremental Value of PET Information in Patients With Bladder Cancer Undergoing 18F-FDG Simultaneous PET/MRI. Clin Nucl Med 2017; 42:e8-e15. [PMID: 27775939 DOI: 10.1097/rlu.0000000000001432] [Citation(s) in RCA: 31] [Impact Index Per Article: 4.4] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/24/2022]
Abstract
PURPOSE The aim of this study was to conduct a prospective pilot study comparing the diagnostic performance of MRI alone and F-FDG simultaneous PET/MRI using a diuresis protocol in bladder cancer patients. METHODS Twenty-two bladder cancer patients underwent F-FDG PET/MRI, using intravenous furosemide and oral hydration for bladder clearance. A radiologist scored probability of tumor in 3 locations (urinary bladder, pelvic lymph nodes, nonnodal pelvis) using 1- to 3-point scale (1 = negative, 2 = equivocal, 3 = definite tumor). A nuclear medicine physician reviewed fused PET/MRI images, after which scores were reassigned based on combined findings. Follow-up pathologic and imaging data served as reference. Performances of MRI alone and PET/MRI were compared. RESULTS Of these patients, 82%, 38%, and 18% were positive for bladder, pelvic nodal, and nonnodal pelvic tumor, respectively. At a score of 3, PET/MRI exhibited greater accuracy for detection of bladder tumor (86% vs 77%), metastatic pelvic lymph nodes (95% vs 76%), and nonnodal pelvic malignancy (100% vs 91%). In the bladder, PET changed the level of suspicion in 36% of patients (50% increased suspicion, 50% decreased suspicion), with 75% of these changes deemed correct based on reference standard. For pelvic lymph nodes, PET changed suspicion in 52% (36% increase, 64% decrease), with 95% of changes deemed correct. For nonnodal pelvis, PET changed suspicion in 9% (100% increase), with 100% deemed correct. CONCLUSIONS Additional PET information helped to appropriately determine level of suspicion in multiple anatomic sites for otherwise equivocal findings on MRI alone. Although requiring larger studies, findings suggest a possible role for simultaneous PET/MRI to assist bladder cancer management.
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Abstract
This review article aims to provide an overview on of diffusion-weighted MR imaging (DW-MR imaging) in the urogenital tract. Compared with conventional cross-sectional imaging methods, the additional value of DW-MR imaging in the detection and further characterization of benign and malignant lesions of the kidneys, bladder, prostate, and pelvic lymph nodes is discussed as well as the role of DW-MR imaging in the evaluation of treatment response.
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Affiliation(s)
- Martin H Maurer
- Department of Radiology, Inselspital, Bern University Hospital, University of Bern, Freiburgstrasse 10, Bern 3010, Switzerland
| | - Kirsi Hannele Härmä
- Department of Radiology, Inselspital, Bern University Hospital, University of Bern, Freiburgstrasse 10, Bern 3010, Switzerland
| | - Harriet Thoeny
- Department of Radiology, Inselspital, Bern University Hospital, University of Bern, Freiburgstrasse 10, Bern 3010, Switzerland.
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Preliminary study of diffusion-weighted MRI in the preoperative diagnosis of cystitis glandularis. Clin Radiol 2016; 71:937.e1-4. [DOI: 10.1016/j.crad.2016.05.008] [Citation(s) in RCA: 6] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/03/2015] [Revised: 05/04/2016] [Accepted: 05/09/2016] [Indexed: 11/20/2022]
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Panebianco V, Barchetti F, de Haas RJ, Pearson RA, Kennish SJ, Giannarini G, Catto JWF. Improving Staging in Bladder Cancer: The Increasing Role of Multiparametric Magnetic Resonance Imaging. Eur Urol Focus 2016; 2:113-121. [PMID: 28723525 DOI: 10.1016/j.euf.2016.04.010] [Citation(s) in RCA: 51] [Impact Index Per Article: 6.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/20/2016] [Accepted: 04/25/2016] [Indexed: 10/21/2022]
Abstract
CONTEXT In bladder cancer (BCa) patients, accurate local and regional tumor staging is required when planning treatment. Clinical understaging frequently occurs and leads to undertreatment of the disease, with a negative impact on survival. An improvement in staging accuracy could be attained by advances in imaging. Magnetic resonance imaging (MRI) is currently the best imaging technique for locoregional staging for several malignancies because of its superior soft tissue contrast resolution with the advantage of avoiding exposure to ionizing radiation. Important improvements in MRI technology have led to the introduction of multiparametric MRI (mpMRI), which combines anatomic and functional evaluation. OBJECTIVE To review the fundamentals of mpMRI in BCa and to provide a contemporary overview of the available data on the role of this emerging imaging technology. EVIDENCE ACQUISITION A nonsystematic literature search using the Medline and Cochrane Library databases was performed up to March 2016. Additional articles were retrieved by cross-matching references of selected articles. Only articles reporting complete data with regard to image acquisition protocols, locoregional staging, monitoring response to therapy, and detection of locoregional recurrence after primary treatment in BCa patients were selected. EVIDENCE SYNTHESIS Standardization of acquisition and reporting protocols for bladder mpMRI is paramount. Combining anatomic and functional sequences improves the accuracy of local tumor staging compared with conventional imaging alone. Diffusion-weighted imaging may distinguish BCa type and grade. Functional sequences are capable of monitoring response to chemotherapy and radiation therapy. Diffusion-weighted imaging enhanced by lymphotropic nanoparticles showed high accuracy in pelvic lymph node staging compared with conventional cross-sectional imaging. CONCLUSIONS In BCa patients, mpMRI appears a promising tool for accurate locoregional staging, predicting tumor aggressiveness and monitoring response to therapy. Further large-scale studies are needed to confirm these findings. PATIENT SUMMARY Better imaging through improved technology will improve outcomes in bladder cancer patients. We reviewed the emerging use of multiparametric magnetic resonance imaging for staging and monitoring bladder cancer. Multiparametric magnetic resonance imaging appears more accurate than current methods for local and nodal staging and monitoring tumor response to treatment, but requires further investigation.
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Affiliation(s)
- Valeria Panebianco
- Department of Radiological Sciences, Oncology and Pathology, Sapienza University of Rome, Rome, Italy
| | - Flavio Barchetti
- Department of Radiological Sciences, Oncology and Pathology, Sapienza University of Rome, Rome, Italy
| | - Robbert J de Haas
- Department of Radiology, Radboud University Medical Center Nijmegen, Nijmegen, The Netherlands
| | - Rachel A Pearson
- Northern Centre for Cancer Care, Freeman Hospital, Newcastle upon Tyne Hospitals, NHS Foundation Trust, Newcastle upon Tyne, UK
| | - Steven J Kennish
- Department of Radiology, Sheffield Teaching Hospital NHS Trust, Sheffield, UK
| | - Gianluca Giannarini
- Urology Unit, Academic Medical Centre Hospital "Santa Maria della Misericordia" Udine, Italy
| | - James W F Catto
- Academic Urology Unit, University of Sheffield, Sheffield, UK.
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Abstract
PURPOSE OF REVIEW Muscle-invasive bladder cancer (MIBC) comprises approximately one-third of bladder cancers and is associated with significant morbidity and mortality. Accurate staging of bladder cancer is essential because of significantly different treatment options and the consequences of inaccurate staging. The current recommended method for staging is transurethral resection of the bladder tumor followed by contrast-enhanced computed tomography (CT). In this review, we discuss cross-sectional imaging approaches used to assess local, nodal, and distant metastases in MIBC. RECENT FINDINGS Determining the most accurate imaging method for staging MIBC is a contentious issue. CT with contrast is a practical approach; however, there is potential for understaging of small lymph nodes or foci of metastasis. Multiparametric MRI is emerging as the imaging modality of choice in tumor staging, with a reported accuracy of more than 90%. Locoregional lymph node metastasis can also be accurately evaluated using functional MRI and specific contrast agents with paramagnetic characteristics. PET/CT with conventional radiotracers is a common imaging modality for staging distant metastases. SUMMARY Conventional imaging methods for evaluating MIBC are of limited use. However, recent advances in molecular imaging, targeted contrast agents, and functional MRI have shown promising results for the staging of bladder cancer.
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Comparison of Coregistration Accuracy of Pelvic Structures Between Sequential and Simultaneous Imaging During Hybrid PET/MRI in Patients with Bladder Cancer. Clin Nucl Med 2016; 40:637-41. [PMID: 25783514 DOI: 10.1097/rlu.0000000000000772] [Citation(s) in RCA: 16] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/05/2023]
Abstract
PURPOSE The aim of this study was to compare coregistration of the bladder wall, bladder masses, and pelvic lymph nodes between sequential and simultaneous PET and MRI acquisitions obtained during hybrid (18)F-FDG PET/MRI performed using a diuresis protocol in bladder cancer patients. METHODS Six bladder cancer patients underwent (18)F-FDG hybrid PET/MRI, including IV Lasix administration and oral hydration, before imaging to achieve bladder clearance. Axial T2-weighted imaging (T2WI) was obtained approximately 40 minutes before PET ("sequential") and concurrently with PET ("simultaneous"). Three-dimensional spatial coordinates of the bladder wall, bladder masses, and pelvic lymph nodes were recorded for PET and T2WI. Distances between these locations on PET and T2WI sequences were computed and used to compare in-plane (x-y plane) and through-plane (z-axis) misregistration relative to PET between T2WI acquisitions. RESULTS The bladder increased in volume between T2WI acquisitions (sequential, 176 [139] mL; simultaneous, 255 [146] mL). Four patients exhibited a bladder mass, all with increased activity (SUV, 9.5-38.4). Seven pelvic lymph nodes in 4 patients showed increased activity (SUV, 2.2-9.9). The bladder wall exhibited substantially less misregistration relative to PET for simultaneous, compared with sequential, acquisitions in in-plane (2.8 [3.1] mm vs 7.4 [9.1] mm) and through-plane (1.7 [2.2] mm vs 5.7 [9.6] mm) dimensions. Bladder masses exhibited slightly decreased misregistration for simultaneous, compared with sequential, acquisitions in in-plane (2.2 [1.4] mm vs 2.6 [1.9] mm) and through-plane (0.0 [0.0] mm vs 0.3 [0.8] mm) dimensions. FDG-avid lymph nodes exhibited slightly decreased in-plane misregistration (1.1 [0.8] mm vs 2.5 [0.6] mm), although identical through-plane misregistration (4.0 [1.9] mm vs 4.0 [2.8] mm). CONCLUSIONS Using hybrid PET/MRI, simultaneous imaging substantially improved bladder wall coregistration and slightly improved coregistration of bladder masses and pelvic lymph nodes.
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Investigation of Multisequence Magnetic Resonance Imaging for Detection of Recurrent Tumor After Transurethral Resection for Bladder Cancer. J Comput Assist Tomogr 2016; 40:201-5. [DOI: 10.1097/rct.0000000000000363] [Citation(s) in RCA: 7] [Impact Index Per Article: 0.9] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/26/2022]
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Parikh N, Ream JM, Zhang HC, Block KT, Chandarana H, Rosenkrantz AB. Performance of simultaneous high temporal resolution quantitative perfusion imaging of bladder tumors and conventional multi-phase urography using a novel free-breathing continuously acquired radial compressed-sensing MRI sequence. Magn Reson Imaging 2015; 34:694-8. [PMID: 26740058 DOI: 10.1016/j.mri.2015.12.033] [Citation(s) in RCA: 12] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/26/2015] [Accepted: 12/18/2015] [Indexed: 11/18/2022]
Abstract
PURPOSE To investigate the feasibility of high temporal resolution quantitative perfusion imaging of bladder tumors performed simultaneously with conventional multi-phase MR urography (MRU) using a novel free-breathing continuously acquired radial MRI sequence with compressed-sensing reconstruction. METHODS 22 patients with bladder lesions underwent MRU using GRASP (Golden-angle RAdial Sparse Parallel) acquisition. Multi-phase contrast-enhanced abdominopelvic GRASP was performed during free-breathing (1.4×1.4×3.0mm(3) voxel size; 3:44min acquisition). Two dynamic datasets were retrospectively reconstructed by combining different numbers of sequentially acquired spokes into each dynamic frame: 110 spokes per frame for 25-s temporal resolution (serving as conventional MRU for clinical interpretation) and 8 spokes per frame for 1.7-s resolution. Using 1.7-s resolution images, ROIs were placed within bladder lesions and normal bladder wall, a femoral artery arterial input function was generated, and the Generalized Kinetic Model was applied. RESULTS Biopsy/cystectomy demonstrated 16 bladder tumors (13 stage≥T2, 3 stage≤T1) and 6 benign lesions. All lesions were well visualized using 25-s clinical multi-phase images. Using 1.7-s resolution images, K(trans) was significantly higher in tumors (0.38±0.24) than normal bladder (0.12±0.02=8, p<0.001) or benign lesions (0.15±0.04, p=0.033). Ratio between K(trans) of lesions and normal bladder was nearly double for tumors than benign lesions (4.3±3.4 vs. 2.2±1.6), and K(trans) was nearly double in stage≥T2 than stage≤T1 tumors (0.44±0.24 vs. 0.24±0.24), although these did not approach significance (p=0.180-0.209), possibly related to small sample size. CONCLUSION GRASP allows simultaneous quantitative high temporal resolution perfusion of bladder lesions during clinical MRU examinations using only one contrast injection and without additional scan time.
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Affiliation(s)
- Nainesh Parikh
- Department of Radiology, NYU School of Medicine, NYU Langone Medical Center, 550 First Avenue, New York, NY 10016.
| | - Justin M Ream
- Department of Radiology, NYU School of Medicine, NYU Langone Medical Center, 550 First Avenue, New York, NY 10016.
| | - Hoi Cheung Zhang
- Department of Radiology, NYU School of Medicine, NYU Langone Medical Center, 550 First Avenue, New York, NY 10016.
| | - Kai Tobias Block
- Department of Radiology, NYU School of Medicine, NYU Langone Medical Center, 550 First Avenue, New York, NY 10016.
| | - Hersh Chandarana
- Department of Radiology, NYU School of Medicine, NYU Langone Medical Center, 550 First Avenue, New York, NY 10016.
| | - Andrew B Rosenkrantz
- Department of Radiology, NYU School of Medicine, NYU Langone Medical Center, 550 First Avenue, New York, NY 10016.
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Lin WC, Chen JH. Pitfalls and Limitations of Diffusion-Weighted Magnetic Resonance Imaging in the Diagnosis of Urinary Bladder Cancer. Transl Oncol 2015; 8:217-30. [PMID: 26055180 PMCID: PMC4487794 DOI: 10.1016/j.tranon.2015.04.003] [Citation(s) in RCA: 40] [Impact Index Per Article: 4.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/15/2015] [Revised: 04/06/2015] [Accepted: 04/09/2015] [Indexed: 12/25/2022] Open
Abstract
Adequately selecting a therapeutic approach for bladder cancer depends on accurate grading and staging. Substantial inaccuracy of clinical staging with bimanual examination, cystoscopy, and transurethral resection of bladder tumor has facilitated the increasing utility of magnetic resonance imaging to evaluate bladder cancer. Diffusion-weighted imaging (DWI) is a noninvasive functional magnetic resonance imaging technique. The high tissue contrast between cancers and surrounding tissues on DWI is derived from the difference of water molecules motion. DWI is potentially a useful tool for the detection, characterization, and staging of bladder cancers; it can also monitor posttreatment response and provide information on predicting tumor biophysical behaviors. Despite advancements in DWI techniques and the use of quantitative analysis to evaluate the apparent diffusion coefficient values, there are some inherent limitations in DWI interpretation related to relatively poor spatial resolution, lack of cancer specificity, and lack of standardized image acquisition protocols and data analysis procedures that restrict the application of DWI and reproducibility of apparent diffusion coefficient values. In addition, inadequate bladder distension, artifacts, thinness of bladder wall, cancerous mimickers of normal bladder wall and benign lesions, and variations in the manifestation of bladder cancer may interfere with diagnosis and monitoring of treatment. Recognition of these pitfalls and limitations can minimize their impact on image interpretation, and carefully applying the analyzed results and combining with pathologic grading and staging to clinical practice can contribute to the selection of an adequate treatment method to improve patient care.
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Affiliation(s)
- Wei-Ching Lin
- Department of Radiology, China Medical University Hospital; No. 2, Yuh-Der Rd, Taichung 40447, Taiwan (R.O.C.); School of Medicine, China Medical University; No.91, Syueshih Rd, Taichung, 40402, Taiwan (R.O.C.)
| | - Jeon-Hor Chen
- Department of Radiology, E-Da Hospital and I-Shou University; No.1, Yida Rd, Kaohsiung 82445, Taiwan; Center for Functional Onco-Imaging, School of Medicine, University of California, Irvine; No. 164, Irvine Hall, Irvine, CA 92697, USA.
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Mayerhoefer ME, Karanikas G, Kletter K, Prosch H, Kiesewetter B, Skrabs C, Porpaczy E, Weber M, Knogler T, Sillaber C, Jaeger U, Simonitsch-Klupp I, Ubl P, Müllauer L, Dolak W, Lukas J, Raderer M. Evaluation of Diffusion-Weighted Magnetic Resonance Imaging for Follow-up and Treatment Response Assessment of Lymphoma: Results of an 18F-FDG-PET/CT–Controlled Prospective Study in 64 Patients. Clin Cancer Res 2015. [DOI: 10.1158/1078-0432.ccr-14-2454 order by 1-- #] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/10/2023]
Abstract
Abstract
Purpose: To determine the value of diffusion-weighted MRI (DWI-MRI) for treatment response assessment in 2-[18F]fluoro-2-deoxy-D-glucose (FDG)–avid lymphoma.
Experimental Design: Patients with FDG-avid Hodgkin (HL) or non-Hodgkin lymphoma (NHL) at pretherapeutic 18F-FDG-PET/CT, who had also undergone pretherapeutic whole-body DWI-MRI, were included in this prospective study. Depending on the histologic lymphoma subtype, patients received different systemic treatment regimens, and follow-up DWI-MRI and 18F-FDG-PET/CT were performed at one or more time points, depending on the clinical course. For each follow-up DWI-MRI, region-based rates of agreement, and rates of agreement in terms of treatment response (complete remission, partial remission, stable disease, or progressive disease), relative to the corresponding 18F-FDG-PET/CT, were calculated.
Results: Sixty-four patients were included: 10 with HL, 22 with aggressive NHL, and 32 with indolent NHL. The overall region-based agreement of DWI-MRI with 18F-FDG-PET/CT was 99.4%. For the 51 interim examinations (performed after 1–3 therapy cycles), region-based agreement of DWI-MRI with 18F-FDG-PET/CT was 99.2%, and for the 48 end-of-treatment examinations, agreement was 99.8%. No significant differences, in terms of region-based agreement between DWI-MRI and 18F-FDG-PET/CT, were observed between the three lymphoma groups (HL, aggressive NHL, indolent NHL; P = 0.25), or between interim and end-of-treatment examinations (P = 0.21). With regard to treatment response assessment, DWI-MRI agreed with 18F-FDG-PET/CT in 99 of 102 follow-up examinations (97.1%), with a κ value of 0.94 (P < 0.0001).
Conclusions: In patients with FDG-avid lymphoma, DWI-MRI may be a feasible alternative to 18F-FDG-PET/CT for follow-up and treatment response assessment. Clin Cancer Res; 21(11); 2506–13. ©2015 AACR.
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Affiliation(s)
- Marius E. Mayerhoefer
- 1Department of Biomedical Imaging and Image-Guided Therapy, Medical University of Vienna, Vienna, Austria
| | - Georgios Karanikas
- 1Department of Biomedical Imaging and Image-Guided Therapy, Medical University of Vienna, Vienna, Austria
| | - Kurt Kletter
- 1Department of Biomedical Imaging and Image-Guided Therapy, Medical University of Vienna, Vienna, Austria
| | - Helmut Prosch
- 1Department of Biomedical Imaging and Image-Guided Therapy, Medical University of Vienna, Vienna, Austria
| | - Barbara Kiesewetter
- 2Department of Internal Medicine I, Medical University of Vienna, Vienna, Austria
| | - Cathrin Skrabs
- 2Department of Internal Medicine I, Medical University of Vienna, Vienna, Austria
| | - Edit Porpaczy
- 2Department of Internal Medicine I, Medical University of Vienna, Vienna, Austria
| | - Michael Weber
- 1Department of Biomedical Imaging and Image-Guided Therapy, Medical University of Vienna, Vienna, Austria
| | - Thomas Knogler
- 1Department of Biomedical Imaging and Image-Guided Therapy, Medical University of Vienna, Vienna, Austria
| | - Christian Sillaber
- 2Department of Internal Medicine I, Medical University of Vienna, Vienna, Austria
| | - Ulrich Jaeger
- 2Department of Internal Medicine I, Medical University of Vienna, Vienna, Austria
| | | | - Philipp Ubl
- 1Department of Biomedical Imaging and Image-Guided Therapy, Medical University of Vienna, Vienna, Austria
| | | | - Werner Dolak
- 4Department of Internal Medicine III, Medical University of Vienna, Vienna, Austria
| | - Julius Lukas
- 5Department of Ophthalmology and Optometry, Medical University of Vienna, Vienna, Austria
| | - Markus Raderer
- 2Department of Internal Medicine I, Medical University of Vienna, Vienna, Austria
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50
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Mayerhoefer ME, Karanikas G, Kletter K, Prosch H, Kiesewetter B, Skrabs C, Porpaczy E, Weber M, Knogler T, Sillaber C, Jaeger U, Simonitsch-Klupp I, Ubl P, Müllauer L, Dolak W, Lukas J, Raderer M. Evaluation of Diffusion-Weighted Magnetic Resonance Imaging for Follow-up and Treatment Response Assessment of Lymphoma: Results of an 18F-FDG-PET/CT–Controlled Prospective Study in 64 Patients. Clin Cancer Res 2015. [DOI: 10.1158/1078-0432.ccr-14-2454 order by 1-- gadu] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/10/2023]
Abstract
Abstract
Purpose: To determine the value of diffusion-weighted MRI (DWI-MRI) for treatment response assessment in 2-[18F]fluoro-2-deoxy-D-glucose (FDG)–avid lymphoma.
Experimental Design: Patients with FDG-avid Hodgkin (HL) or non-Hodgkin lymphoma (NHL) at pretherapeutic 18F-FDG-PET/CT, who had also undergone pretherapeutic whole-body DWI-MRI, were included in this prospective study. Depending on the histologic lymphoma subtype, patients received different systemic treatment regimens, and follow-up DWI-MRI and 18F-FDG-PET/CT were performed at one or more time points, depending on the clinical course. For each follow-up DWI-MRI, region-based rates of agreement, and rates of agreement in terms of treatment response (complete remission, partial remission, stable disease, or progressive disease), relative to the corresponding 18F-FDG-PET/CT, were calculated.
Results: Sixty-four patients were included: 10 with HL, 22 with aggressive NHL, and 32 with indolent NHL. The overall region-based agreement of DWI-MRI with 18F-FDG-PET/CT was 99.4%. For the 51 interim examinations (performed after 1–3 therapy cycles), region-based agreement of DWI-MRI with 18F-FDG-PET/CT was 99.2%, and for the 48 end-of-treatment examinations, agreement was 99.8%. No significant differences, in terms of region-based agreement between DWI-MRI and 18F-FDG-PET/CT, were observed between the three lymphoma groups (HL, aggressive NHL, indolent NHL; P = 0.25), or between interim and end-of-treatment examinations (P = 0.21). With regard to treatment response assessment, DWI-MRI agreed with 18F-FDG-PET/CT in 99 of 102 follow-up examinations (97.1%), with a κ value of 0.94 (P < 0.0001).
Conclusions: In patients with FDG-avid lymphoma, DWI-MRI may be a feasible alternative to 18F-FDG-PET/CT for follow-up and treatment response assessment. Clin Cancer Res; 21(11); 2506–13. ©2015 AACR.
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Affiliation(s)
- Marius E. Mayerhoefer
- 1Department of Biomedical Imaging and Image-Guided Therapy, Medical University of Vienna, Vienna, Austria
| | - Georgios Karanikas
- 1Department of Biomedical Imaging and Image-Guided Therapy, Medical University of Vienna, Vienna, Austria
| | - Kurt Kletter
- 1Department of Biomedical Imaging and Image-Guided Therapy, Medical University of Vienna, Vienna, Austria
| | - Helmut Prosch
- 1Department of Biomedical Imaging and Image-Guided Therapy, Medical University of Vienna, Vienna, Austria
| | - Barbara Kiesewetter
- 2Department of Internal Medicine I, Medical University of Vienna, Vienna, Austria
| | - Cathrin Skrabs
- 2Department of Internal Medicine I, Medical University of Vienna, Vienna, Austria
| | - Edit Porpaczy
- 2Department of Internal Medicine I, Medical University of Vienna, Vienna, Austria
| | - Michael Weber
- 1Department of Biomedical Imaging and Image-Guided Therapy, Medical University of Vienna, Vienna, Austria
| | - Thomas Knogler
- 1Department of Biomedical Imaging and Image-Guided Therapy, Medical University of Vienna, Vienna, Austria
| | - Christian Sillaber
- 2Department of Internal Medicine I, Medical University of Vienna, Vienna, Austria
| | - Ulrich Jaeger
- 2Department of Internal Medicine I, Medical University of Vienna, Vienna, Austria
| | | | - Philipp Ubl
- 1Department of Biomedical Imaging and Image-Guided Therapy, Medical University of Vienna, Vienna, Austria
| | | | - Werner Dolak
- 4Department of Internal Medicine III, Medical University of Vienna, Vienna, Austria
| | - Julius Lukas
- 5Department of Ophthalmology and Optometry, Medical University of Vienna, Vienna, Austria
| | - Markus Raderer
- 2Department of Internal Medicine I, Medical University of Vienna, Vienna, Austria
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