A different perspective on 18F-FDG PET radiomics in colorectal cancer patients: The relationship between intra & peritumoral analysis and pathological findings

Özge Vural Topuz , Ayşegül Aksu , Müveddet Banu Yılmaz Özgüven
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Abstract

Objective

We aimed to determine the value of 18F-fluorodeoxyglucose positron emission tomography/computed tomography (18F-FDG PET/CT) based primary tumoral and peritumoral radiomics in the prediction of tumor deposits (TDs), tumor budding (TB) and extramural venous invasion (EMVI) of colorectal cancer (CRC).

Methods

Our retrospective study included 77 CRC patients who had preoperative 18F-FDG PET/CT between June 2020 and February 2022. A total of 131 radiomic features were extracted from primary tumors and peritumoral areas on PET/CT fusion images. The relationship between TDs, TB, EMVI and T stage in the postoperative pathology of the tumors and radiomic features was investigated. Features with a correlation coefficient (CC) less than 0.8 were analyzed by logistic regression. The area under curve (AUC) obtained from the receiver operating characteristic analysis was used to measure the model performance.

Results

A model was developed from primary tumoral and peritumoral radiomics data to predict T stage (AUC 0.931), and also a predictive model was constructed from primary tumor derived radiomics to predict EMVI (AUC 0.739). Radiomic data derived from the primary tumor was obtained as a predictive prognostic factor in predicting TDs and a peritumoral feature was found to be a prognostic factor in predicting TB.

Conclusions

Intratumoral and peritumoral radiomics derived from 18F-FDG PET/CT are useful for non-invasive early prediction of pathological features that have important implications in the management of CRC.

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结直肠癌患者18F-FDG PET放射组学的不同视角:瘤内和瘤周分析与病理结果的关系
目的我们旨在确定基于18F-氟脱氧葡萄糖正电子发射断层扫描/计算机断层扫描(18F-FDG PET/CT)的原发性肿瘤和肿瘤周围放射组学在预测肿瘤沉积(TDs)中的价值,方法对癌症术前18F-FDG PET/CT的77例结直肠癌患者进行回顾性研究。在PET/CT融合图像上,共从原发肿瘤和肿瘤周围区域提取了131个放射学特征。探讨肿瘤术后病理中TDs、TB、EMVI和T分期与放射学特征的关系。通过逻辑回归分析相关系数(CC)小于0.8的特征。从受试者工作特性分析中获得的曲线下面积(AUC)用于测量模型性能。结果根据原发性肿瘤和瘤周放射组学数据建立了预测T分期的模型(AUC 0.931),此外,还从原发性肿瘤衍生的放射组学中构建了一个预测模型来预测EMVI(AUC 0.739)。从原发肿瘤衍生的辐射组学数据被作为预测TDs的预测预后因素,肿瘤周围特征被发现是预测TB的预后因素。结论18F-FDG PET/CT衍生的肿瘤内和肿瘤周围放射组学可用于对CRC的管理具有重要意义的病理特征的非侵入性早期预测。
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