Exploring the potential of the combined diagnostic model of ADC value and bp-MRI VI-RADS in the evaluation of muscle invasion in bladder Cancer.

IF 2.3 3区 医学 Q2 RADIOLOGY, NUCLEAR MEDICINE & MEDICAL IMAGING
Zhichao Zhang, Weixiong Xiao, Yiqian Wang, Wei Zhang, Min Luo
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Abstract

Objective: This study investigates the diagnostic value of Vesical Imaging Reporting and Data System (VI-RADS) in biparametric MRI (bp-MRI) for the detection of muscular infiltration in bladder cancer, and to investigate whether apparent diffusion coefficient (ADC) value can function as a potential indicator of bp-MRI VI-RADS for patient benefit.

Materials and methods: This single-center retrospective study enrolled 81 patients with pathologically confirmed bladder cancer from October 2019 to November 2021. Two readers independently scored the T2-weighted images and diffusion-weighted images of each index lesion based on the VI-RADS criteria, subsequently deriving the bp-MRI VI-RADS scores. Both ADC values and bp-MRI VI-RADS scores were utilized to develop a simple model by logistic regression. Receiver-operating characteristic curve assessed all systems, while decision curve analysis (DCA) and calibration curves evaluated the model's performance.

Results: The area under the curve (AUC) of bp-MRI VI-RADS was 0.886 (95% confidence interval [CI]: 0.801-0.971), with the diagnostic accuracy, sensitivity, and specificity being 0.753, 0.962, and 0.655 respectively. Regarding the ADC value, its AUC was 0.899 (95% CI: 0.821-0.977), and the diagnostic accuracy, sensitivity, and specificity were 0.877, 0.846, and 0.891. The AUC of the simple combined model achieved 0.942 (95% CI: 0.881-0.999), and the diagnostic accuracy, sensitivity, and specificity were 0.889, 0.885, and 0.891. The DeLong test verified that there was a statistically significant difference in AUC between the model and bp-MRI VI-RADS alone (P < 0.05). The simple model demonstrated excellent clinical applicability via DCA and calibration plots.

Conclusions: The contrast-free bp-MRI VI-RADS demonstrates commendable diagnostic efficacy for diagnosing muscular infiltration in bladder cancer. Additionally, ADC values can complement bp-MRI VI-RADS, enhancing diagnostic performance.

探讨ADC值与bp-MRI VI-RADS联合诊断模型在膀胱癌肌肉侵犯评估中的应用价值。
目的:探讨膀胱影像报告与数据系统(VI-RADS)在双参数MRI (bp-MRI)检测膀胱癌肌肉浸润中的诊断价值,并探讨表观扩散系数(ADC)值是否可以作为bp-MRI VI-RADS的潜在指标,为患者带来益处。材料与方法:本研究为单中心回顾性研究,于2019年10月至2021年11月招募了81例病理证实的膀胱癌患者。两位读者根据VI-RADS标准独立对各指标病变的t2加权图像和弥散加权图像进行评分,得出bp-MRI VI-RADS评分。ADC值和bp-MRI VI-RADS评分通过逻辑回归建立简单模型。接收机工作特性曲线评估了所有系统,决策曲线分析(DCA)和校准曲线评估了模型的性能。结果:bp-MRI VI-RADS的曲线下面积(AUC)为0.886(95%可信区间[CI]: 0.801 ~ 0.971),诊断准确率为0.753,敏感性为0.962,特异性为0.655。ADC值的AUC为0.899 (95% CI: 0.821-0.977),诊断的准确性、敏感性和特异性分别为0.877、0.846和0.891。简单联合模型的AUC达到0.942 (95% CI: 0.881 ~ 0.999),诊断准确率、敏感性和特异性分别为0.889、0.885和0.891。DeLong检验证实该模型与单独使用bp-MRI VI-RADS的AUC差异有统计学意义(P)。结论:无造影剂bp-MRI VI-RADS对膀胱癌肌肉浸润的诊断效果良好。此外,ADC值可以补充bp-MRI VI-RADS,提高诊断效能。
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来源期刊
Abdominal Radiology
Abdominal Radiology Medicine-Radiology, Nuclear Medicine and Imaging
CiteScore
5.20
自引率
8.30%
发文量
334
期刊介绍: Abdominal Radiology seeks to meet the professional needs of the abdominal radiologist by publishing clinically pertinent original, review and practice related articles on the gastrointestinal and genitourinary tracts and abdominal interventional and radiologic procedures. Case reports are generally not accepted unless they are the first report of a new disease or condition, or part of a special solicited section. Reasons to Publish Your Article in Abdominal Radiology: · Official journal of the Society of Abdominal Radiology (SAR) · Published in Cooperation with: European Society of Gastrointestinal and Abdominal Radiology (ESGAR) European Society of Urogenital Radiology (ESUR) Asian Society of Abdominal Radiology (ASAR) · Efficient handling and Expeditious review · Author feedback is provided in a mentoring style · Global readership · Readers can earn CME credits
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