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Diagnostic performance of multiparametric MRI based Vesical Imaging-Reporting and Data System (VI-RADS) scoring in discriminating between non-muscle invasive and muscle invasive bladder cancer
Vesical Imaging-Reporting and Data System (VI-RADS)
multiparametric magnetic resonance imaging (mpMRI)
bladder cancer
muscle invasion
prediction
Bibliogr. s. e363-e364
Introduction: The purpose of the present study was to assess the diagnostic accuracy of the Vesical Imaging-Reporting and Data System (VI-RADS) scoring system in predicting muscle infiltration of bladder cancer (BC) on a pre-operative multiparametric magnetic resonance imaging (mpMRI). Material and methods: The prospective study enrolled patients with bladder lesions detected on a preliminary ultrasonography or cystoscopy. The patients underwent mpMRI on a 3T MRI scanner followed by surgery within 2 weeks. The tumours were assigned a VI-RADS score by 2 experienced abdominal radiologists. The VI-RADS score was compared with postoperative histopathological findings to confirm detrusor muscle infiltration. The diagnostic performance of VI-RADS for predicting muscle invasion was assessed by calculating sensitivity, specificity, positive predictive value (PPV), negative predictive value (NPV) and accuracy. Results: A total of 60 patients were included in the study with a male: female ratio of 4.4 : 1. Transurethral resection of bladder tumour (TURBT) was performed in 47 (78.4%) and radical cystectomy in 13 (21.6%) patients. 19 (31.7%) had non-muscle invasive invasive BC (NMIBCa) and 41 (68.3%) had muscle invasive BC (MIBCa) on histopathology. There was a significant association between VI-RADS score and its components with muscle invasion (<i>p</i> < 0.05). A VI-RADS score of ≥ 3 had a sensitivity of 97.56% (95% CI: 0.87–0.99%), specificity of 73.68% (95% CI: 0.49–0.91), positive predictive value of 88.9% (95% CI: 0.79–0.94), negative predictive value of 93.33% (95% CI: 0.66–0.99), and diagnostic accuracy of 90% (95% CI: 0.80–0.96) for prediction of muscle invasion. Conclusions: VI-RADS scoring system pre-operatively predicts the likelihood of muscle invasion in BC with a satisfactory diagnostic performance, and it should be incorporated in the diagnostic work-up of BC patients.
dc.abstract.en | Introduction: The purpose of the present study was to assess the diagnostic accuracy of the Vesical Imaging-Reporting and Data System (VI-RADS) scoring system in predicting muscle infiltration of bladder cancer (BC) on a pre-operative multiparametric magnetic resonance imaging (mpMRI). Material and methods: The prospective study enrolled patients with bladder lesions detected on a preliminary ultrasonography or cystoscopy. The patients underwent mpMRI on a 3T MRI scanner followed by surgery within 2 weeks. The tumours were assigned a VI-RADS score by 2 experienced abdominal radiologists. The VI-RADS score was compared with postoperative histopathological findings to confirm detrusor muscle infiltration. The diagnostic performance of VI-RADS for predicting muscle invasion was assessed by calculating sensitivity, specificity, positive predictive value (PPV), negative predictive value (NPV) and accuracy. Results: A total of 60 patients were included in the study with a male: female ratio of 4.4 : 1. Transurethral resection of bladder tumour (TURBT) was performed in 47 (78.4%) and radical cystectomy in 13 (21.6%) patients. 19 (31.7%) had non-muscle invasive invasive BC (NMIBCa) and 41 (68.3%) had muscle invasive BC (MIBCa) on histopathology. There was a significant association between VI-RADS score and its components with muscle invasion (<i>p</i> < 0.05). A VI-RADS score of ≥ 3 had a sensitivity of 97.56% (95% CI: 0.87–0.99%), specificity of 73.68% (95% CI: 0.49–0.91), positive predictive value of 88.9% (95% CI: 0.79–0.94), negative predictive value of 93.33% (95% CI: 0.66–0.99), and diagnostic accuracy of 90% (95% CI: 0.80–0.96) for prediction of muscle invasion. Conclusions: VI-RADS scoring system pre-operatively predicts the likelihood of muscle invasion in BC with a satisfactory diagnostic performance, and it should be incorporated in the diagnostic work-up of BC patients. | |
dc.contributor.author | Islam, Naseer ul | |
dc.contributor.author | Jehangir, Majid | |
dc.contributor.author | Parry, Hussain Arshed | |
dc.contributor.author | Nazir, Syed Sajjad | |
dc.contributor.author | Bilal, Sheikh | |
dc.date.accessioned | 2024-07-22T10:27:25Z | |
dc.date.available | 2024-07-22T10:27:25Z | |
dc.date.issued | 2023 | |
dc.date.openaccess | 0 | |
dc.description.accesstime | w momencie opublikowania | |
dc.description.additional | Bibliogr. s. e363-e364 | |
dc.description.physical | e356-e364 | |
dc.description.version | ostateczna wersja wydawcy | |
dc.description.volume | 88 | |
dc.identifier.doi | 10.5114/pjr.2023.130807 | |
dc.identifier.issn | 1733-134X | |
dc.identifier.uri | https://ruj.uj.edu.pl/handle/item/388799 | |
dc.language | eng | |
dc.language.container | eng | |
dc.rights | Udzielam licencji. Uznanie autorstwa - Użycie niekomercyjne - Bez utworów zależnych 4.0 Międzynarodowa | |
dc.rights.licence | CC-BY-NC-ND | |
dc.rights.uri | http://creativecommons.org/licenses/by-nc-nd/4.0/legalcode.pl | |
dc.share.type | otwarte czasopismo | |
dc.subject.en | Vesical Imaging-Reporting and Data System (VI-RADS) | |
dc.subject.en | multiparametric magnetic resonance imaging (mpMRI) | |
dc.subject.en | bladder cancer | |
dc.subject.en | muscle invasion | |
dc.subject.en | prediction | |
dc.subtype | Article | |
dc.title | Diagnostic performance of multiparametric MRI based Vesical Imaging-Reporting and Data System (VI-RADS) scoring in discriminating between non-muscle invasive and muscle invasive bladder cancer | |
dc.title.journal | Polish Journal of Radiology | |
dc.type | JournalArticle | |
dspace.entity.type | Publication | en |
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