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基于 IVIM-DWI 及原发灶和淋巴结纹理参数预测宫颈癌患者盆腔淋巴结转移的可行性。

Feasibility of Predicting Pelvic Lymph Node Metastasis Based on IVIM-DWI and Texture Parameters of the Primary Lesion and Lymph Nodes in Patients with Cervical Cancer.

机构信息

Department of Radiation Oncology, Anhui Provincial Hospital Affiliated to Anhui Medical University, 17 Lujiang Road, Hefei, Anhui 230001, China.

Department of Radiation Oncology, Anhui Provincial Hospital Affiliated to Anhui Medical University, 17 Lujiang Road, Hefei, Anhui 230001, China; Department of Radiology, West Branch of the First Affiliated Hospital of University of Science and Technology of China, 107 Huanhu East Road, Hefei, Anhui 230031, China.

出版信息

Acad Radiol. 2022 Jul;29(7):1048-1057. doi: 10.1016/j.acra.2021.08.026. Epub 2021 Oct 13.

Abstract

RATIONALE AND OBJECTIVES

To investigate the feasibility and value of intravoxel incoherent motion diffusion weighted imaging (IVIM-DWI) and texture parameters of primary lesions and lymph nodes for predicting pelvic lymph node metastasis in patients with cervical cancer.

MATERIALS AND METHODS

A total of 143 patients with cervical cancer confirmed by surgical pathology were analyzed retrospectively and 125 patients were enrolled in primary lesions study, 83 patients and 134 lymph nodes were enrolled in lymph nodes study. Patients and lymph nodes were randomly divided into training group and test group at a ratio of 2: 1. The IVIM-DWI parameters and 3D texture features of primary lesions and lymph nodes of all patients were measured. The least absolute shrinkage and selection operator algorithm, spearman's correlation analysis, independent two-sample t-test and Mann-Whitney U-test were used to select texture parameters. Multivariate Logistic regression analysis and receiver operating characteristic curves were used to model and evaluate diagnostic performances.

RESULTS

In primary lesions study, model 1 was constructed by combining f value, original_shape_Sphericity and original_firstorder_Mean of primary lesions. In lymph nodes study, model 2 was constructed by combining short diameter, circular enhancement and rough margin of lymph nodes. Model 3 was constructed by combining ADC, f value and original_glszm_Small Area Emphasis of lymph nodes. The areas under curve of model 1, 2 and 3 in training group and test group were 0.882, 0.798, 0.907 and 0.862, 0.771, 0.937 respectively.

CONCLUSION

Models based on IVIM-DWI and texture parameters of primary lesions and lymph nodes both performed well in diagnosing pelvic lymph node metastasis of cervical cancer and were superior to morphological features of lymph nodes. Especially, parameters of lymph nodes showed higher diagnostic efficiency and clinical significance.

摘要

背景与目的

探讨体素内不相干运动扩散加权成像(IVIM-DWI)及原发灶和淋巴结纹理参数预测宫颈癌盆腔淋巴结转移的可行性和价值。

材料与方法

回顾性分析经手术病理证实的 143 例宫颈癌患者,其中原发灶研究纳入 125 例患者,淋巴结研究纳入 83 例患者和 134 枚淋巴结。将患者和淋巴结按 2∶1 的比例随机分为训练组和测试组。测量所有患者原发灶和淋巴结的 IVIM-DWI 参数和 3D 纹理特征。采用最小绝对收缩和选择算子算法、Spearman 相关分析、独立样本 t 检验和 Mann-Whitney U 检验筛选纹理参数。采用多变量 Logistic 回归分析和受试者工作特征曲线对模型进行构建和诊断效能评估。

结果

在原发灶研究中,模型 1 由原发灶的 f 值、原始形状球形度和原始一阶均值联合构建;在淋巴结研究中,模型 2 由淋巴结的短径、环形强化和边缘粗糙联合构建;模型 3 由淋巴结的 ADC 值、f 值和原始灰度共生矩阵小面积重点联合构建。在训练组和测试组中,模型 1、2 和 3 的曲线下面积分别为 0.882、0.798、0.907 和 0.862、0.771、0.937。

结论

基于 IVIM-DWI 及原发灶和淋巴结纹理参数的模型在诊断宫颈癌盆腔淋巴结转移方面均具有良好的性能,且优于淋巴结的形态学特征。特别是淋巴结的参数具有更高的诊断效能和临床意义。

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