Purpose. To determine whether the radiomic features of 18F-fluorodeoxyglucose (FDG) positron emission tomography/computed tomography (PET/CT) contribute to prognosis prediction in primary gastric diffuse large B-cell lymphoma (PG-DLBCL) patients. Methods. This retrospective study included 35 PG-DLBCL patients who underwent PET/CT scans at West China Hospital before curative treatment. The volume of interest (VOI) was drawn around the tumor, and radiomic analysis of the PET and CT images, within the same VOI, was conducted. The metabolic and textural features of PET and CT images were evaluated. Correlations of the extracted features with the overall survival (OS) and progression-free survival (PFS) were evaluated. Univariate and multivariate analyses were conducted to assess the prognostic value of the radiomic parameters. Results. In the univariate model, many of the textural features, including kurtosis and volume, extracted from the PET and CT datasets were significantly associated with survival (5 for OS and 7 for PFS (PET); 7 for OS and 14 for PFS (CT)). Multivariate analysis identified kurtosis (hazard ratio (HR): 28.685, 95% confidence interval (CI): 2.067-398.152, p=0.012), metabolic tumor volume (MTV) (HR: 26.152, 95% CI: 2.089-327.392, p=0.011), and gray-level nonuniformity (GLNU) (HR: 14.642, 95% CI: 2.661-80.549, p=0.002) in PET and sphericity (HR: 11.390, 95% CI: 1.360-95.371, p=0.025) and kurtosis (HR: 11.791, 95% CI: 1.583-87.808, p=0.016), gray-level nonuniformity (GLNU) (HR: 6.934, 95% CI: 1.069-44.981, p=0.042), and high gray-level zone emphasis (HGZE) (HR: 9.805, 95% CI: 1.359-70.747, p=0.024) in CT as independent prognostic factors. Conclusion. 18F-FDG PET/CT radiomic features are potentially useful for survival prediction in PG-DLBCL patients. However, studies with larger cohorts are needed to confirm the clinical prognostication of these parameters.

中文翻译：

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通过原发性胃弥漫性大B细胞淋巴瘤患者的18F-FDG PET / CT放射学特征预测总体生存和无进展生存期。

目的。为了确定18F-氟脱氧葡萄糖（FDG）正电子发射断层扫描/计算机断层扫描（PET / CT）的放射学特征是否有助于原发性胃弥漫性大B细胞淋巴瘤（PG-DLBCL）患者的预后预测。方法。这项回顾性研究纳入了35例PG-DLBCL患者，这些患者在治愈性治疗之前已在华西医院进行了PET / CT扫描。在肿瘤周围绘制感兴趣的体积（VOI），并在同一VOI内对PET和CT图像进行放射线分析。评价了PET和CT图像的代谢和质地特征。评估提取的特征与总生存期（OS）和无进展生存期（PFS）的相关性。进行单因素和多因素分析以评估放射学参数的预后价值。结果。在单变量模型中，从PET和CT数据集中提取的许多纹理特征（包括峰度和体积）与存活率显着相关（OS为5，PFS（PET）为7； OS为7，PFS（CT）为14）。 ）。多变量分析确定峰度（危险比（HR）：28.685，95％置信区间（CI）：2.067-398.152，p = 0.012），代谢肿瘤体积（MTV）（HR：26.152，95％CI：2.089-327.392，p = 0.011）和PET中的灰度不均匀性（GLNU）（HR：14.642，95％CI：2.661-80.549，p = 0.002）（HR：11.390，95％CI：1.360-95.371，p = 0.025）和峰度（HR：11.791，95％CI：1.583-87.808，p = 0.016），灰度不均匀性（GLNU）（HR：6.934，95％CI：1.069-44.981，p = 0.042）和高灰度作为独立的预后因素，CT中的区域强调（HGZE）（HR：9.805，95％CI：1.359-70.747，p = 0.024）。结论。18F-FDG PET / CT放射学特征可能对PG-DLBCL患者的生存预测有用。然而，需要更大的队列研究来证实这些参数的临床预后。