The value of spectral CT quantitative parameters in predicting Ki-67 level in ovarian cancer.

IF 3.5 3区医学 Q2 ONCOLOGY

Frontiers in Oncology Pub Date : 2025-05-14 eCollection Date: 2025-01-01 DOI:10.3389/fonc.2025.1576690

Siwen Pang, Meng Wu, Haijia Yu, Tiantian Ma, Jianhua Liu, Siwen Liu

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引用次数: 0

Abstract

Objective: The objective of this study is to evaluate the predictive value of quantitative parameters from spectral CT for Ki-67 expression in ovarian cancer (OC).

Methods: Spectral CT imaging data from 39 patients with ovarian cancer by pathology, encompassing 52 lesions overall, were collected retrospectively and split into two groups based on immunohistochemical results. Tumor solid components in arterial, venous, and delayed phases can be measured using post-processing software to obtain the quantitative parameters of spectral CT. An independent sample t-test was implemented for evaluating spectral CT parameters between two groups, and a Spearman correlation coefficient was applied among all participants to estimate the relationship between spectral parameters and Ki-67 levels. Moreover, an examination of the receiver operating characteristic (ROC) curve was conducted to assess the diagnostic efficacy of the significantly different parameters between the two groups.

Results: The Ki-67 high-level group includes 22 patients and 29 lesions, while the Ki-67 low-level group contains 17 patients and 23 lesions. The A-sIC, A-sZeff, V-IC, D-Zeff, and D-sZeff values in the Ki-67 high-level group were greater than those in the Ki-67 low-level group (P =0.028, AUC = 0.705; P < 0.001, AUC = 0.742; P = 0.047, AUC = 0.657; P = 0.014, AUC = 0.665; and P = 0.006, AUC = 0.675, respectively). For correlation analysis, A-IC, A-sIC, A-Zeff, A-sZeff, A-λHU, D-IC, D-Zeff, and D-sZeff were positively correlated with Ki-67 levels, with correlation coefficients ranging from 0.277 to 0.417, P<0.05. Through multiple logistic regression, the combined model that included 5 quantitative parameters showed the highest diagnostic performance, with a sensitivity of 93.10%, a specificity of 60.90%, and an AUC value of 0.808.

Conclusion: Spectral CT provides multi-parametric imaging data and is useful in predicting Ki-67 expression in ovarian cancer, delivering comprehensive and reliable imaging evidence for the formulation of therapeutic treatment options.

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光谱CT定量参数预测卵巢癌Ki-67水平的价值。

目的：评价光谱CT定量参数对卵巢癌（OC） Ki-67表达的预测价值。方法：回顾性收集39例经病理诊断的卵巢癌患者的频谱CT影像资料，共52个病变，并根据免疫组化结果分为两组。利用后处理软件测量动脉期、静脉期和延迟期的肿瘤实体成分，获得光谱CT的定量参数。采用独立样本t检验评价两组间的光谱CT参数，采用Spearman相关系数评价光谱参数与Ki-67水平之间的关系。此外，通过受试者工作特征（ROC）曲线的检验来评估两组间差异显著的参数的诊断效果。结果：Ki-67高水平组22例，病变29个；Ki-67低水平组17例，病变23个。Ki-67高水平组A-sIC、A-sZeff、V-IC、D-Zeff、D-sZeff值显著高于Ki-67低水平组(P =0.028, AUC = 0.705；P < 0.001, auc = 0.742；P = 0.047, auc = 0.657；P = 0.014, auc = 0.665；P = 0.006, AUC = 0.675)。相关性分析显示，A- ic、A- sic、A- zeff、A- szeff、A-λHU、D-IC、D-Zeff、D-sZeff与Ki-67水平呈正相关，相关系数为0.277 ~ 0.417。结论：光谱CT提供多参数成像数据，有助于预测卵巢癌中Ki-67的表达，为制定治疗方案提供全面可靠的影像学证据。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

Frontiers in Oncology Biochemistry, Genetics and Molecular Biology-Cancer Research

CiteScore

6.20

自引率

10.60%

发文量

6641

审稿时长

14 weeks

期刊介绍： Cancer Imaging and Diagnosis is dedicated to the publication of results from clinical and research studies applied to cancer diagnosis and treatment. The section aims to publish studies from the entire field of cancer imaging: results from routine use of clinical imaging in both radiology and nuclear medicine, results from clinical trials, experimental molecular imaging in humans and small animals, research on new contrast agents in CT, MRI, ultrasound, publication of new technical applications and processing algorithms to improve the standardization of quantitative imaging and image guided interventions for the diagnosis and treatment of cancer.