基于F-FDG PET/CT影像组学预测最大直径≤3 cm的浸润性腺癌的脏层胸膜侵犯情况

Predicting visceral pleural invasion in invasive adenocarcinoma with a maximum diameter ≤ 3 cm based on F-FDG PET/CT radiomics.

作者信息

Dong Qiujie, Sun Jinju, You Jianping, Long He, Li Xin, Cheng Jun, Hu Daoxi, Wang Yi, Chen Xiao

机构信息

Department of Nuclear Medicine, Daping Hospital, Army Medical University, Chongqing, China.

Department of Infectious Diseases, Southwest Hospital, Army Medical University, Chongqing, China.

出版信息

Eur J Nucl Med Mol Imaging. 2025 Aug 14. doi: 10.1007/s00259-025-07511-9.

DOI:10.1007/s00259-025-07511-9

PMID:40804299

Abstract

PURPOSE

To investigate the feasibility of F-fluorodeoxyglucose positron emission tomography/computed tomography (F-FDG PET/CT) radiomics in preoperative prediction of visceral pleural invasion (VPI) status in invasive adenocarcinoma (IAC) with a maximum diameter ≤ 3 cm.

MATERIALS AND METHODS

A total of 590 IAC patients with a maximum diameter ≤ 3 cm were enrolled and divided into training set (n = 364), validations set 1 (n = 156) and validation set 2 (n = 70). A conventional model was built based on clinical and PET/CT imaging features by logistic regression. Radiomics features extracted from CT and PET images were screened using interclass correlation coefficients, Pearson correlation analysis and the least absolute shrinkage and selection operator. These selected features were used to calculate the CT and PET rad-scores. Finally, a combined model was constructed using multivariate logistic regression.

RESULTS

Tumor type [odds ratio (OR): 3.258, P = 0.012], distance between tumor and pleura (OR: 0.464, P = 0.001), and maximum standardized uptake value (SUVmax) (OR: 1.109, P = 0.002) were used to construct the conventional model. Ten CT radiomics features and six PET radiomics features were used to establish the CT and PET rad-score models. The area under the curve (AUC) value of the combined model (0.824) was higher than conventional model (0.734), CT rad-score model (0.790) and PET rad-score model (0.748) in the training set, and the differences were statistically significant as tested by Delong test (P < 0.05). In the validation set 1 and validation set 2, the combined model exhibited the highest AUC values (0.835 and 0.787), and the difference between the combined model and PET rad-score model (validation set 1: 0.835 vs. 0.747, P = 0.028; validation set 2: 0.787 vs. 0.657, P = 0.043) and CT rad-score model (validation set 2: 0.787 vs. 0.694, P = 0.025) was statistically significant.

CONCLUSION

The combined model based on PET/CT radiomics is an effective and non-invasive tool for preoperative predicting VPI status in IAC patients.

摘要

目的

探讨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）影像组学在术前预测最大直径≤3 cm的浸润性腺癌（IAC）脏层胸膜侵犯（VPI）状态中的可行性。

材料与方法

共纳入590例最大直径≤3 cm的IAC患者，分为训练集（n = 364）、验证集1（n = 156）和验证集2（n = 70）。通过逻辑回归建立基于临床和PET/CT影像特征的传统模型。利用组间相关系数、Pearson相关分析和最小绝对收缩和选择算子筛选从CT和PET图像中提取的影像组学特征。这些选定的特征用于计算CT和PET影像组学评分。最后，使用多变量逻辑回归构建联合模型。

结果

肿瘤类型[比值比（OR）：3.258，P = 0.012]、肿瘤与胸膜的距离（OR：0.464，P = 0.001）和最大标准化摄取值（SUVmax）（OR：1.109，P = 0.002）用于构建传统模型。10个CT影像组学特征和6个PET影像组学特征用于建立CT和PET影像组学评分模型。联合模型在训练集中的曲线下面积（AUC）值（0.824）高于传统模型（0.734）、CT影像组学评分模型（0.790）和PET影像组学评分模型（0.748），经Delong检验，差异有统计学意义（P < 0.05）。在验证集1和验证集2中，联合模型表现出最高的AUC值（0.835和0.787），联合模型与PET影像组学评分模型（验证集1：0.835对0.747，P = 0.028；验证集2：0.787对0.657，P = 0.043）以及CT影像组学评分模型（验证集2：0.787对0.694，P = 0.025）之间的差异有统计学意义。