利用基于 CT 的放射组学预测化疗后结直肠肝转移组织病理学生长模式的转变。

IF 4.2 3区 医学 Q2 ONCOLOGY
Clinical & Experimental Metastasis Pub Date : 2024-04-01 Epub Date: 2024-02-28 DOI:10.1007/s10585-024-10275-5
Shengcai Wei, Xinyi Gou, Yinli Zhang, Jingjing Cui, Xiaoming Liu, Nan Hong, Weiqi Sheng, Jin Cheng, Yi Wang
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引用次数: 0

摘要

化疗会改变结直肠肝转移(CRLMs)患者的预后生物标志物组织病理学生长模式(HGP)表型。我们旨在开发一种基于 CT 的放射组学模型,以预测化疗后 HGP 表型的转变。这项研究纳入了两家医疗机构在2007年1月至2022年7月期间接受术前对比增强CT检查并进行肝部分切除术的181例298例CRLM患者。HGP分为纯去瘤HGP(pdHGP)和非pdHGP。样本被分配到训练组、内部验证组和外部验证组,分别由 153 个、65 个和 29 个 CRLM 组成。对增强前、动脉期、门静脉期(PVP)和融合图像进行了放射组学分析。该模型用于预测112例CRLM的化疗前HGP,并将这些结果与病理确定的化疗后HGP进行比较,从而分析HGP的转化。化疗前和化疗后患者的 pdHGP 发生率分别为 19.8%(23/116)和 45.8%(70/153)(P<0.05)。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

Prediction of transformation in the histopathological growth pattern of colorectal liver metastases after chemotherapy using CT-based radiomics.

Prediction of transformation in the histopathological growth pattern of colorectal liver metastases after chemotherapy using CT-based radiomics.

Chemotherapy alters the prognostic biomarker histopathological growth pattern (HGP) phenotype in colorectal liver metastases (CRLMs) patients. We aimed to develop a CT-based radiomics model to predict the transformation of the HGP phenotype after chemotherapy. This study included 181 patients with 298 CRLMs who underwent preoperative contrast-enhanced CT followed by partial hepatectomy between January 2007 and July 2022 at two institutions. HGPs were categorized as pure desmoplastic HGP (pdHGP) or non-pdHGP. The samples were allocated to training, internal validation, and external validation cohorts comprising 153, 65, and 29 CRLMs, respectively. Radiomics analysis was performed on pre-enhanced, arterial phase, portal venous phase (PVP), and fused images. The model was used to predict prechemotherapy HGPs in 112 CRLMs, and HGP transformation was analysed by comparing these findings with postchemotherapy HGPs determined pathologically. The prevalence of pdHGP was 19.8% (23/116) and 45.8% (70/153) in chemonaïve and postchemotherapy patients, respectively (P < 0.001). The PVP radiomics signature showed good performance in distinguishing pdHGP from non-pdHGPs (AUCs of 0.906, 0.877, and 0.805 in the training, internal validation, and external validation cohorts, respectively). The prevalence of prechemotherapy pdHGP predicted by the radiomics model was 33.0% (37/112), and the prevalence of postchemotherapy pdHGP according to the pathological analysis was 47.3% (53/112; P = 0.029). The transformation of HGP was bidirectional, with 15.2% (17/112) of CRLMs transforming from prechemotherapy pdHGP to postchemotherapy non-pdHGP and 30.4% (34/112) transforming from prechemotherapy non-pdHGP to postchemotherapy pdHGP (P = 0.005). CT-based radiomics method can be used to effectively predict the HGP transformation in chemotherapy-treated CRLM patients, thereby providing a basis for treatment decisions.

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来源期刊
CiteScore
7.80
自引率
5.00%
发文量
55
审稿时长
12 months
期刊介绍: The Journal''s scope encompasses all aspects of metastasis research, whether laboratory-based, experimental or clinical and therapeutic. It covers such areas as molecular biology, pharmacology, tumor biology, and clinical cancer treatment (with all its subdivisions of surgery, chemotherapy and radio-therapy as well as pathology and epidemiology) insofar as these disciplines are concerned with the Journal''s core subject of metastasis formation, prevention and treatment.
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