Volumetric and radiomics assessment of lesions with incidental [18F]FDG uptake in the colon: a retrospective radiomics study.

Nurşin Agüloğlu, Emine Acar Akkaya, Ömer B Binicier
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Abstract

Background: To evaluate the power of volumetric and radiomic tissue data obtained from the images of the lesions in predicting the histopathological diagnosis in patients with incidental colorectal focal FDG uptake detected by [18F]FDG PET/CT imaging.

Methods: Electronic records of patients who underwent [18F]FDG PET/CT for various malignancies between January 2016 and January 2020 were retrospectively reviewed. 98 lesions of 80 patients with colonoscopic and histopathological results were included in the study. The lesions were divided into 3 groups according to their histopathological diagnosis as benign, premalign and malign. [18F]FDG PET/CT images obtained from the patients were evaluated using LIFEx software. Volumetric and radiomic textural features were obtained by establishing the region of interest (ROI) of the primary tumor. The [18F]FDG PET/CT parameters of the lesions were compared between the groups. In order to evaluate the predictive power of the parameters obtained with [18F]FDG PET/CT, the area under the curve (AUC), sensitivity and selectivity values, negative and positive predictive values were calculated by ROC analysis.

Results: The volumetric and radiomic tissue analysis parameters of the lesions in the malignant group were significantly different when compared to the other groups. Our study showed that SUVmax value can be used as a marker in the diagnosis of pathological malignancy (AUC=0.737 and P=0.001 95% CI: 0.619-0.855). Contrast and entropy parameters of GLCM matrix, which are radiomic texture features, were found to be used in the prediction of malignancy (AUC=0.685 and AUC=0.692, P=0.041 and P=0.035, respectively. Similarly, parameters of NLGDM, GLRLM and GLZLM matrices were shown to have statistically significant diagnostic values in predicting malignancy. However, no superiority of these parameters over each other in predicting malignancy was observed.

Conclusions: In our study, the parameters of radiomic textural analysis together with volumetric parameters have been shown to have diagnostic value in noninvasively determining lesion characterization and defining tissue in lesions with incidental colorectal focal FDG uptake detected by [18F]FDG PET/CT imaging.

结肠偶发[18F]FDG摄取病变的体积学和放射组学评估:回顾性放射组学研究。
背景:评估从病变图像中获得的体积学和放射学组织数据对[18F]FDG PET/CT成像检测的偶发性结直肠局灶性FDG患者的组织病理学诊断的预测能力。方法:回顾性分析2016年1月至2020年1月期间接受[18F]FDG PET/CT检查的各种恶性肿瘤患者的电子记录。80例结肠镜检查和组织病理学结果的98个病变纳入研究。根据组织病理学诊断将病变分为良性、恶性前期和恶性3组。[18F]使用LIFEx软件对患者的FDG PET/CT图像进行评估。通过建立原发肿瘤的感兴趣区域(ROI)获得体积和放射学纹理特征。比较各组病变的[18F]FDG PET/CT参数。为了评价[18F]FDG PET/CT所得参数的预测能力,采用ROC分析计算曲线下面积(AUC)、敏感性和选择性值、阴性预测值和阳性预测值。结果:恶性组病变的体积学和放射学组织分析参数与其他组相比有显著差异。我们的研究表明,SUVmax值可以作为病理恶性肿瘤的诊断指标(AUC=0.737, P=0.001, 95% CI: 0.619-0.855)。GLCM矩阵的对比度参数和熵参数作为放射组学纹理特征,可用于恶性肿瘤的预测(AUC=0.685, AUC=0.692, P=0.041, P=0.035)。同样,NLGDM、GLRLM和GLZLM矩阵的参数在预测恶性肿瘤方面具有统计学意义的诊断价值。然而,没有观察到这些参数在预测恶性肿瘤方面的优势。结论:在我们的研究中,通过[18F]FDG PET/CT成像检测偶然发生的结直肠局灶性FDG摄取,放射学结构分析参数与体积参数在无创确定病变特征和确定组织方面具有诊断价值。
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