Unit of Oncology, University Hospital of Pisa, Pisa, Italy & Department of Translational Research & New Technologies in Medicine & Surgery, University of Pisa, Via Roma 67, 56126, Pisa, Italy.
Academic Radiology, Department of Translational Research & New Technologies in Medicine & Surgery, University of Pisa, Via Roma 67, 56126, Pisa, Italy.
Future Oncol. 2023 Jul;19(23):1601-1611. doi: 10.2217/fon-2023-0406. Epub 2023 Aug 14.
Evaluating the prognostic role of radiomic features in liver-limited metastatic colorectal cancer treated with first-line therapy at baseline and best response among patients undergoing resection. Among patients enrolled in TRIBE2 (NCT02339116), the association of clinical and radiomic data, extracted by SOPHiA-DDM™ with progression-free and overall survival (OS) in the overall population and with disease-free survival/postresection OS in those undergoing resection was investigated. Among 98 patients, radiomic parameters improved the prediction accuracy of our model for OS (area under the curve: 0.83; sensitivity: 0.85; specificity: 0.73; accuracy: 0.78), but not progression-free survival. Of 46 resected patients, small-distance high gray-level emphasis was associated with shorter disease-free survival and high gray-level zone emphasis/higher kurtosis with shorter postresection OS. Radiomic features should be implemented as tools of outcome prediction for liver-limited metastatic colorectal cancer.
评估基线时接受一线治疗和最佳反应的肝转移结直肠癌患者的放射组学特征在接受切除术的患者中的预后作用。在 TRIBE2 研究（NCT02339116）中，调查了通过 SOPHiA-DDM™提取的临床和放射组学数据与总人群的无进展生存和总生存（OS）以及接受切除术患者的无疾病生存/术后 OS 的相关性。在 98 名患者中，放射组学参数提高了我们的 OS 预测模型的准确性（曲线下面积：0.83；灵敏度：0.85；特异性：0.73；准确性：0.78），但不能预测无进展生存期。在 46 例接受切除术的患者中，小距离高灰度区强调与较短的无疾病生存期相关，高灰度区强调/更高峰度与较短的术后 OS 相关。放射组学特征应作为肝转移结直肠癌预后预测的工具。
