酰胺质子转移成像在预测宫颈癌宫旁浸润和淋巴管间隙浸润方面的价值。

IF 2.1 4区医学 Q2 RADIOLOGY, NUCLEAR MEDICINE & MEDICAL IMAGING

Magnetic resonance imaging Pub Date : 2024-11-26 DOI:10.1016/j.mri.2024.110282

Chongshuang Yang , Hasyma Abu Hassan , Nur Farhayu Omar , Tze Hui Soo , Ahmad Shuib Bin Yahaya , Tianliang Shi , Zhihong Qin , Min Wu , Jing Yang

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引用次数: 0

摘要

目的：探讨酰胺质子转移（APT）成像在评估宫旁侵犯（PMI）和淋巴管间隙侵犯（LVSI）方面的价值：探讨酰胺质子转移（APT）成像在评估宫颈癌宫旁侵犯（PMI）和淋巴管间隙侵犯（LVSI）中的价值：我们回顾性分析了2021年1月至2024年4月在我院进行病理诊断的宫颈癌患者的临床和影像学数据。所有患者在治疗前均接受了常规磁共振成像（MRI）、弥散加权成像（DWI）和 APT 成像检查。测量了表观弥散系数（ADC）和 APT 值。根据病理结果，将患者分为 LVSI (+) 组和 LVSI (-) 组，以及 PMI (+) 组和 PMI (-) 组。采用独立样本 t 检验比较这些组间的 ADC 和 APT 值。采用受试者操作特征曲线（ROC）评估 ADC、APT 和 ADC + APT 预测 PMI 和 LVSI 的灵敏度、特异性和曲线下面积（AUC）。德隆检验用于比较这些指标的诊断性能：共纳入 83 例患者，其中 LVSI（-）组 56 例，LVSI（+）组 27 例，PMI（-）组 35 例，PMI（+）组 16 例。LVSI（+）组和PMI（+）组的ADC值明显低于LVSI（-）组和PMI（-）组（P 结论：APT成像可预测LVSI（+）和PMI（-）：APT 成像可在手术前预测宫颈癌的 LVSI 和 PMI 状态。与 ADC 联合使用时，其预测 LVSI 的诊断准确率高于 APT 或 ADC 单独使用时的诊断准确率。这为评估宫颈癌的 LVSI 提供了一种新方法。

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The value of amide proton transfer imaging in predicting parametrial invasion and lymph-vascular space invasion of cervical cancer

Objective

To explore the value of amide proton transfer (APT) imaging in assessing parametrial invasion (PMI) and lymph-vascular space invasion (LVSI) of cervical cancer.

Materials and methods

We retrospectively analyzed the clinical and imaging data of cervical cancer patients diagnosed pathologically at our hospital from January 2021 to June 2024. All patients underwent routine magnetic resonance imaging (MRI), diffusion-weighted imaging (DWI), and APT imaging before treatment. Apparent diffusion coefficient (ADC) and APT values were measured. Based on the pathological results, patients were categorized into LVSI (+) and LVSI (−) groups, and PMI (+) and PMI (−) groups. Independent sample t-tests were used to compare the ADC and APT values between these groups. Receiver operating characteristic (ROC) curves were used to assess the sensitivity, specificity, and area under the curve (AUC) of ADC, APT, and ADC + APT in predicting PMI and LVSI. The Delong test was employed to compare the diagnostic performance among these measures.

Results

A total of 83 patients were included, with 56 in the LVSI (−) group, 27 in the LVSI (+) group, 35 in the PMI (−) group, and 16 in the PMI (+) group. The ADC values for the LVSI (+) and PMI (+) groups were significantly lower than those for the LVSI (−) and PMI (−) groups (P < 0.01). The APT values for the LVSI (+) and PMI (+) groups were significantly higher than those for the LVSI (−) and PMI (−) groups (P < 0.01). The AUC values for ADC, APT, and the combination of ADC + APT in predicting LVSI were 0.839, 0.788, and 0.880, respectively, and in predicting PMI were 0.770, 0.764, and 0.796, respectively. There were no statistically significant differences in the diagnostic performance of ADC, APT, and ADC + APT in predicting PMI. However, the diagnostic performance of ADC + APT in predicting LVSI was significantly better than that of ADC and APT alone (P < 0.01).

Conclusion

APT imaging can predict LVSI and PMI status in cervical cancer before surgery. When combined with ADC, its diagnostic accuracy for predicting LVSI is higher than that of APT or ADC alone. This suggests a novel approach for assessing LVSI in cervical cancer.

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来源期刊

Magnetic resonance imaging 医学-核医学

CiteScore

4.70

自引率

4.00%

发文量

194

审稿时长

83 days

期刊介绍： Magnetic Resonance Imaging (MRI) is the first international multidisciplinary journal encompassing physical, life, and clinical science investigations as they relate to the development and use of magnetic resonance imaging. MRI is dedicated to both basic research, technological innovation and applications, providing a single forum for communication among radiologists, physicists, chemists, biochemists, biologists, engineers, internists, pathologists, physiologists, computer scientists, and mathematicians.