Diagnostic Accuracy of Calculated Tumor Volumes and Apparent Diffusion Coefficient Values in Predicting Endometrial Cancer Grade

IF 0.8 Q3 MEDICINE, GENERAL & INTERNAL International Journal of Applied and Basic Medical Research Pub Date : 2022-01-01 DOI:10.4103/ijabmr.ijabmr_553_21
C. Kakkar, Kamini Gupta, Kunal Jain, V. Narang, Aminder Singh, K. Saggar, N. Bansal, D. Cioni, E. Neri
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引用次数: 3

Abstract

Background: Magnetic resonance imaging (MRI) has been shown to be an accurate imaging technique for the preoperative assessment of local staging of endometrial cancer and for evaluating the depth of myometrial invasion. Materials and Methods: This was a single-center retrospective study performed on patients with histopathologically proven endometrial carcinoma who underwent an MRI examination of the pelvis between October 2017 and May 2020. Results: In the present analysis, mean apparent diffusion coefficient (ADC) values for each histologic grade were 0.72 ± 0.13 × 10−3 mm2/s (G1), 0.76 ± 0.17 × 10−3 mm2/s (G2), and 0.74 ± 0.12 × 10−3 mm2/s (G3), respectively, showing no significant correlation between ADC values and tumor grade (P = 0.73). Overall, ADC minimum was significant in differentiating grades of endometrial carcinoma (P = 0.02) with the ability to differentiate Grade I and II lesions (P = 0.01). A mean tumor volume of 25.2 cc could differentiate low-grade tumors (Grade I and Grade II) from high-grade tumors (Grade III) with a sensitivity and specificity of 88% and specificity of 89%. The tumor volume/uterine volume ratio (TV/UV) differentiates high-grade tumors from low-grade tumors (P < 0.001), however, no significant difference in the ratio was observed among Grade I and II lesions (P = 0.48). The area under the curve of tumor volume was 0.875 (95% confidence interval 0.0–1.00) (P = 0.001), indicating that tumor volume was an effective tool for distinguishing high-grade and low-grade endometrioid adenocarcinomas. The corresponding sensitivity and specificity were 88.0% and 89.0%, respectively. Conclusion: Preoperative noninvasive radiological assessment for tumor volume, TV/ UV or tumor volume/uterine volume is important surrogate markers for preoperative prognostication of endometrial carcinoma.
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计算肿瘤体积和表观扩散系数预测子宫内膜癌症分级的诊断准确性
背景:磁共振成像(MRI)已被证明是一种准确的术前评估子宫内膜癌局部分期和评估子宫肌层浸润深度的成像技术。材料和方法:这是一项单中心回顾性研究,对2017年10月至2020年5月期间接受骨盆MRI检查的组织病理学证实的子宫内膜癌患者进行了研究。结果:各组织学分级的平均表观扩散系数(ADC)值分别为0.72±0.13 × 10−3 mm2/s (G1)、0.76±0.17 × 10−3 mm2/s (G2)和0.74±0.12 × 10−3 mm2/s (G3), ADC值与肿瘤分级无显著相关性(P = 0.73)。总体而言,ADC最小值在区分子宫内膜癌分级(P = 0.02)和区分I级和II级病变(P = 0.01)方面具有重要意义。平均肿瘤体积为25.2 cc,可区分低级别肿瘤(I级和II级)和高级别肿瘤(III级),敏感性和特异性分别为88%和89%。肿瘤体积/子宫体积比(TV/UV)可区分高级别肿瘤和低级别肿瘤(P < 0.001),而I级和II级病变的比值无显著差异(P = 0.48)。肿瘤体积曲线下面积为0.875(95%可信区间为0.0 ~ 1.00)(P = 0.001),表明肿瘤体积是区分高级别和低级别子宫内膜样腺癌的有效工具。相应的敏感性和特异性分别为88.0%和89.0%。结论:术前无创影像学评估肿瘤体积、TV/ UV或肿瘤体积/子宫体积是预测子宫内膜癌术前预后的重要替代指标。
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