利用非增强磁共振成像技术区分胆囊癌和息肉。

Polish journal of radiology Pub Date : 2024-02-23 eCollection Date: 2024-01-01 DOI:10.5114/pjr.2024.135730
Kazuyoshi Ohki, Takao Igarashi, Hiroyuki Yakabe, Megumi Shiraishi, Takayuki Suzuki, Jun Woo, Hiroya Ojiri
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引用次数: 0

摘要

目的:这项回顾性队列研究评估了非增强磁共振成像(MRI)在区分胆囊癌(GBC)和≥10 mm的胆囊息肉(GBPs)方面的效率:被诊断为胆囊癌或胆囊息肉≥10 mm且胆囊癌≤T2期的患者均符合纳入条件。两名独立的盲人阅读者评估表观弥散系数图(NIR-ADC)、T1加权图像(NIR-T1WI)和T2加权半傅立叶采集单发涡轮自旋回波图像上粘膜层和肌肉层(CMML;存在或不存在)的连续性和归一化信号强度比(NIR)。进行了单变量和多变量逻辑回归分析以及观察者间一致性分析,以检测区分 GBC 和 GBP 的预测变量。接收者操作特征(ROC)分析用于评估诊断性能。为验证预测变量,还进行了重现性测试:多变量分析显示,CMML、NIR-ADC 和 NIR-T1WI 存在显著差异(P < 0.001)。无 CMML 的阳性预测值(PPV)和特异性约为 100%。在重现性研究中,CMML 显示出最佳的特异性、准确性和 PPV。单独使用 CMML 的灵敏度约为 50%,而与 NIR-ADC 联合使用时,灵敏度则增加到约 70%。包括灵敏度在内的组合诊断性能与肿瘤大小几乎相同。综合评估肿瘤大小和 CMML 比单独评估肿瘤大小具有更高的诊断性能:结论:无 CMML 和 NIR-ADC ≤ 1.86 有助于区分 GBC 和 GBP。与单独测量肿瘤大小相比,评估是否存在CMML和测量肿瘤大小更有助于确定两者之间的区别。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Differentiating gallbladder cancer from polyps using non-enhanced magnetic resonance imaging.

Purpose: This retrospective cohort study assessed the efficiency of non-enhanced magnetic resonance imaging (MRI) for differentiating gallbladder cancer (GBC) from gallbladder polyps (GBPs) measuring ≥ 10 mm.

Material and methods: Patients diagnosed with GBCs or GBPs ≥ 10 mm and GBC ≤ T2 stage were eligible for inclusion. Two independent blinded readers assessed the continuity of the mucosal and muscular layers (CMML; present or absent) and normalised signal intensity ratio (NIR) on the apparent diffusion coefficient map (NIR-ADC), T1-weighted image (NIR-T1WI), and T2-weighted half-Fourier acquisition single-shot turbo spin-echo image. Univariate and multivariate logistic regression analyses and interobserver agreement analyses were performed to detect predictive variables differentiating GBCs from GBPs. Receiver operating characteristic (ROC) analysis was performed to evaluate diagnostic performance. A reproducibility test was performed to verify the predictive variables.

Results: Multivariate analysis showed significant differences in CMML, NIR-ADC, and NIR-T1WI (p < 0.001). The positive predictive value (PPV) and specificity of the absence of CMML were approximately 100%. The CMML showed the best specificity, accuracy, and PPV in the reproducibility study. The sensitivity of CMML alone was approximately 50%, whereas it increased to approximately 70% when combined with NIR-ADC. The diagnostic performance of the combination, including sensitivity, was almost like that of tumour size. The combined tumour size and CMML assessment showed higher diagnostic performance than tumour size alone.

Conclusions: The absence of CMML and NIR-ADC ≤ 1.86 helped in differentiating GBCs from GBPs. Evaluation of the absence of CMML and measurement of tumour size could better aid in determining between the two than measurement of tumour size alone.

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