A quantitative model using multi-parameters in dual-energy CT to preoperatively predict serosal invasion in locally advanced gastric cancer.

IF 4.1 2区医学 Q1 RADIOLOGY, NUCLEAR MEDICINE & MEDICAL IMAGING

Insights into Imaging Pub Date : 2024-10-31 DOI:10.1186/s13244-024-01844-z

Yiyang Liu, Mengchen Yuan, Zihao Zhao, Shuai Zhao, Xuejun Chen, Yang Fu, Mengwei Shi, Diansen Chen, Zongbin Hou, Yongqiang Zhang, Juan Du, Yinshi Zheng, Luhao Liu, Yiming Li, Beijun Gao, Qingyu Ji, Jing Li, Jianbo Gao

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引用次数: 0

Abstract

Objectives: To develop and validate a quantitative model for predicting serosal invasion based on multi-parameters in preoperative dual-energy CT (DECT).

Materials and methods: A total of 342 LAGC patients who underwent gastrectomy and DECT from six centers were divided into one training cohort (TC), and two validation cohorts (VCs). Dual-phase enhanced DECT-derived iodine concentration (IC), water concentration, and monochromatic attenuation of lesions, along with clinical information, were measured and collected. The independent predictors among these characteristics for serosal invasion were screened with Spearman correlation analysis and logistic regression (LR) analysis. A quantitative model was developed based on LR classifier with fivefold cross-validation for predicting the serosal invasion in LAGC. We comprehensively tested the model and investigated its value in survival analysis.

Results: A quantitative model was established using IC, 70 keV, 100 keV monochromatic attenuations in the venous phase, and CT-reported T4a, which were independent predictors of serosal invasion. The proposed model had the area-under-the-curve (AUC) values of 0.889 for TC and 0.860 and 0.837 for VCs. Subgroup analysis showed that the model could well discriminate T3 from T4a groups, and T2 from T4a groups in all cohorts (all p < 0.001). Besides, disease-free survival (DFS) (TC, p = 0.015; and VC1, p = 0.043) could be stratified using this quantitative model.

Conclusion: The proposed quantitative model using multi-parameters in DECT accurately predicts serosal invasion for LAGC and showed a significant correlation with the DFS of patients.

Critical relevance statement: This quantitative model from dual-energy CT is a useful tool for predicting the serosal invasion of locally advanced gastric cancer.

Key points: Serosal invasion is a poor prognostic factor in locally advanced gastric cancer that may be predicted by DECT. DECT quantitative model for predicting serosal invasion was significantly and positively correlated with pathologic T stages. This quantitative model was associated with patient postoperative disease-free survival.

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利用双能 CT 多参数定量模型术前预测局部晚期胃癌的浆膜侵犯。

目的开发并验证基于术前双能 CT（DECT）多参数预测浆膜侵犯的定量模型：六个中心共 342 名接受胃切除术和 DECT 的 LAGC 患者被分为一个训练队列（TC）和两个验证队列（VC）。测量并收集了双相增强 DECT 衍生的碘浓度（IC）、水浓度和病灶的单色衰减以及临床信息。通过斯皮尔曼相关分析和逻辑回归（LR）分析筛选出这些特征中对浆膜侵犯的独立预测因素。通过五倍交叉验证，建立了基于 LR 分类器的定量模型，用于预测 LAGC 中的浆膜浸润。我们对该模型进行了全面测试，并研究了其在生存分析中的价值：结果：利用静脉期的IC、70 keV、100 keV单色衰减和CT报告的T4a建立了一个定量模型，这三个指标是血清学侵犯的独立预测因子。所提出的模型对 TC 的曲线下面积（AUC）值为 0.889，对 VC 的曲线下面积（AUC）值为 0.860 和 0.837。亚组分析表明，该模型能很好地区分所有队列中的 T3 和 T4a 组，以及 T2 和 T4a 组（所有 p 均为结论）：所提出的使用 DECT 多参数的定量模型可准确预测 LAGC 的浆膜侵犯，并与患者的 DFS 有显著相关性：该双能 CT 定量模型是预测局部晚期胃癌浆膜侵犯的有用工具：要点：浆膜浸润是局部晚期胃癌的一个不良预后因素，可通过 DECT 预测。用于预测浆膜侵犯的DECT定量模型与病理T分期呈显著正相关。该定量模型与患者术后无病生存期相关。

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

Insights into Imaging Medicine-Radiology, Nuclear Medicine and Imaging

CiteScore

7.30

自引率

4.30%

发文量

182

审稿时长

13 weeks

期刊介绍： Insights into Imaging (I³) is a peer-reviewed open access journal published under the brand SpringerOpen. All content published in the journal is freely available online to anyone, anywhere! I³ continuously updates scientific knowledge and progress in best-practice standards in radiology through the publication of original articles and state-of-the-art reviews and opinions, along with recommendations and statements from the leading radiological societies in Europe. Founded by the European Society of Radiology (ESR), I³ creates a platform for educational material, guidelines and recommendations, and a forum for topics of controversy. A balanced combination of review articles, original papers, short communications from European radiological congresses and information on society matters makes I³ an indispensable source for current information in this field. I³ is owned by the ESR, however authors retain copyright to their article according to the Creative Commons Attribution License (see Copyright and License Agreement). All articles can be read, redistributed and reused for free, as long as the author of the original work is cited properly. The open access fees (article-processing charges) for this journal are kindly sponsored by ESR for all Members. The journal went open access in 2012, which means that all articles published since then are freely available online.