利用合成磁共振成像预测早期宫颈癌淋巴管间隙侵犯状况的可行性：形态学磁共振成像的附加值

IF 2.1 3区医学 Q2 RADIOLOGY, NUCLEAR MEDICINE & MEDICAL IMAGING

Clinical radiology Pub Date : 2024-12-01 DOI:10.1016/j.crad.2024.08.021

Z.B. Huang , L.L. Wang , X.Q. Xu , D. Pylypenko , H.L. Gu , Z.F. Tian , W.W. Tang

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引用次数: 0

摘要

研究合成磁共振成像（syMRI）预测早期宫颈癌淋巴管间隙侵犯（LVSI）状态的可行性及其对形态学磁共振成像的附加价值。研究共纳入了72例经病理证实的早期宫颈癌患者，并将其分为LVSI阳性组（=41）和LVSI阴性组（=31）。除了肿瘤总体积（GTV）和肿瘤最大直径（MTD）等形态学参数外，还测量了肿瘤的T1、T2和质子密度（PD）值，并在两组之间进行了比较。二元逻辑回归分析用于确定与 LVSI 相关的自变量。接收者操作特征曲线分析和 DeLong 检验用于评估和比较重要参数或其组合在预测 LVSI 方面的性能。与LVSI阴性组相比，LVSI阳性组的GTV（=0.008）和MTD（=0.019）明显较高，T1（<0.001）和PD值（=0.041）较低。然而，T2值（=0.331）无统计学意义。二元逻辑回归表明，T1 值（几率比 [OR] = 0.993; =0.001）和 MTD（OR=1.903, =0.027）是与早期宫颈癌 LVSI 相关的独立变量。结合 T1 和 MTD 预测 LVSI 可达到最佳效果[ROC 曲线下面积 (AUC) = 0.784；临界值 = 0.56；灵敏度 = 80.5%；特异度 = 71.0%]。在预测早期宫颈癌的 LVSI 状态时，syMRI 可能是一种可行的方法，它能为形态学 MRI 提供附加值。

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Feasibility of using synthetic MRI to predict lymphatic vascular space invasion status in early-stage cervical cancer: added value to morphological MRI

Objectives

To investigate the feasibility of synthetic magnetic resonance imaging (syMRI) in predicting the lymphatic vascular space invasion (LVSI) status of early-stage cervical cancer, and its added value to morphological MRI.

Materials and Methods

A total of 72 patients with pathology-confirmed early-stage cervical cancer were enrolled, and classified into LVSI- positive (n=41) and LVSI- negative (n=31) groups. Together with morphological parameters including gross tumor volume (GTV) and maximum tumor diameter (MTD), the T1, T2, and proton density (PD) values of the tumors were also measured and compared between two groups. Binary logistic regression analysis was used to identify the independent variable associated with LVSI. Receiver operating characteristic curve analyses and DeLong tests were used to evaluate and compare the performances of significant parameters or their combination in predicting LVSI.

Results

LVSI- positive group showed significantly higher GTV (P=0.008) and MTD (P=0.019), and lower T1 (P<0.001) and PD values (P=0.041) than LVSI- negative group. However, no statistical significance was observed regarding the T2 values (P=0.331). Binary logistic regression indicated that T1 value (odds ratio [OR] = 0.993; P=0.001) and MTD (OR=1.903, P=0.027) were independent variables associated with LVSI in early cervical cancer. Optimal performance could be achieved [area under ROC curve (AUC) = 0.784; cut-off value = 0.56; sensitivity = 80.5%; specificity = 71.0%] when combining T1 and MTD for predicting LVSI. Its performance was significantly better than that of MTD alone (AUC, 0.784 vs 0.662, P=0.035).

Conclusion

syMRI might be a feasible approach, and it can provide added value to morphological MRI in predicting the LVSI status of early-stage cervical cancer.

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来源期刊

Clinical radiology 医学-核医学

CiteScore

4.70

自引率

3.80%

发文量

528

审稿时长

76 days

期刊介绍： Clinical Radiology is published by Elsevier on behalf of The Royal College of Radiologists. Clinical Radiology is an International Journal bringing you original research, editorials and review articles on all aspects of diagnostic imaging, including: • Computed tomography • Magnetic resonance imaging • Ultrasonography • Digital radiology • Interventional radiology • Radiography • Nuclear medicine Papers on radiological protection, quality assurance, audit in radiology and matters relating to radiological training and education are also included. In addition, each issue contains correspondence, book reviews and notices of forthcoming events.