膀胱影像报告与数据系统在多参数磁共振评价膀胱癌中的应用:一项基于医院的横断面研究。

Rahul Gupta, Manik Mahajan, Poonam Sharma, Subhash Bhardwaj, Vikrant Gupta, Arti Mahajan
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引用次数: 1

摘要

背景膀胱多参数磁共振成像(mp-MRI)是一种预测膀胱癌逼尿肌侵袭的新成像技术。膀胱成像报告和数据系统(VI-RADS)于2018年推出,用于规范mp-MRI报告BC并诊断肌肉侵犯。本研究旨在评估mp-MRI使用VI-RADS预测肌肉浸润性BC的作用。方法本前瞻性研究于2020年6月至2021年5月在一家三级保健机构进行。36例未经治疗的BC患者接受了mp-MRI检查,然后经尿道肿瘤切除术(TURBT)。Mp-MRI结果由两名放射科医生评估,BC根据VI-RADS评分系统进行分类。两名病理学家报道了切除肿瘤和单独的基底活检。将组织病理学结果与VI-RADS评分进行比较,并分析VI-RADS在判断逼尿肌侵犯方面的表现。结果mp-MRI VI-RADS评分4分9例(25%),5分15例(41.7%),VI-RADS评分3分4例(13.3%)。VI-RADS 1和2型病变分别为6例(16.7%)和2例(5.5%)。组织病理学上,肌肉浸润性癌23例(63.9%),非肌肉浸润性癌13例(36.1%)。mp-MRI预测肌肉浸润性BC的敏感性为95.6,诊断准确率为80.6%。结论Mp-MRI预测肌肉浸润性BC具有较高的敏感性和诊断准确性,应提倡术前对BC进行评估。
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Application of Vesical Imaging-Reporting and Data System in Evaluation of Urinary Bladder Cancer Using Multiparametric Magnetic Resonance Imaging: A Hospital-Based Cross-Sectional Study.

Background  Multiparametric magnetic resonance imaging (mp-MRI) of urinary bladder (UB) is a novel imaging to predict detrusor muscle invasion in Bladder cancer (BC). The Vesical Imaging-Reporting and Data System (VI-RADS) was introduced in 2018 to standardize the reporting of BC with mp-MRI and to diagnose muscle invasion. This study was performed to evaluate the role of mp-MRI using VI-RADS to predict muscle invasive BC. Methods  This prospective study was carried from June 2020 to May 2021 in a tertiary care institute. Thirty-six patients with untreated BC underwent mp-MRI followed by transuretheral resection of the tumor (TURBT). Mp-MRI findings were evaluated by two radiologists and BC was categorized according to VI-RADS scoring system. Resected tumors along with separate biopsy from the base were reported by two pathologists. Histopathological findings were compared with VI-RADS score and the performance of VI-RADS for determining detrusor muscle invasion was analyzed. Results  VI-RADS scores of 4 and 5 were assigned to 9 (25%) and 15 (41.7%) cases, respectively, while 4 (13.3%) cases had VI-RADS score 3 on mp-MRI. VI-RADS 1 and 2 lesions were observed in six (16.7%) and two (5.5%) cases, respectively. On histopathology, 23 cases (63.9%) had muscle-invasive cancer and 13 cases (36.1%) had non-muscle-invasive cancer. The sensitivity and diagnostic accuracy of mp-MRI in predicting muscle invasive BC was 95.6 and 80.6%, respectively. Conclusion  Mp-MRI has high sensitivity and diagnostic accuracy in predicting muscle invasive BC and should be advocated for evaluation of BC prior to surgery.

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