Title Predictive Value of F-18-FDG PET/MRI for Pleural Invasion in Solid and Subsolid Lung Adenocarcinomas Smaller Than 3 cm
Authors Zhang, Annan
Meng, Xiangxi
Yao, Yuan
Zhou, Xin
Yan, Shuo
Fei, Wang
Zhou, Nina
Zhang, Yan
Kong, Hanjing
Li, Nan
Affiliation Peking Univ, Canc Hosp & Inst, Dept Nucl Med, Key Lab Carcinogenesis & Translat Res,Minist Educ, 52 Fucheng Rd, Beijing 100142, Peoples R China
Peking Univ, Canc Hosp & Inst, Dept Radiol, Key Lab Carcinogenesis & Translat Res,Minist Educ, Beijing, Peoples R China
UIH Grp, Beijing United Imaging Res Inst Intelligent Imagi, Beijing, Peoples R China
Keywords WHOLE-BODY MRI
PROGNOSTIC IMPACT
TNM STAGE
CANCER
PET/CT
CT
PERFORMANCE
FEATURES
NODULES
LESIONS
Issue Date Sep-2022
Publisher JOURNAL OF MAGNETIC RESONANCE IMAGING
Abstract Background Positron emission tomography (PET)/MRI combines the characteristics of metabolism imaging and high soft tissue resolution, and could provide high diagnostic efficacy for assessment of pleural invasion (PI) of lung cancer. Purpose To investigate the application of F-18-fluorodeoxyglucose (FDG) PET/MRI for predicting PI of lung cancer with the maximum diameter <= 3 cm. Study Type Prospective. Population A total of 44 patients with non-small cell lung cancer (NSCLC), age from 39 to 79 years old, including 19 (56.82%) females. Field Strength/Sequence A 3-T, hybrid PET/MRI including axial fast spin echo respiratory-triggered T2 fat-suppressed imaging (T2FS) and echo planar imaging diffusion-weighted imaging (DWI). Assessment The maximum standardized uptake value (SUVmax) of all lesions was measured on PET images. Localized effusion outside the contact between the nodules and the pleura on T2FS and signal at the contact between the nodules and the pleura on DWI were evaluated by experienced physicians through visual assessment of the MRI sequences. Statistical Tests Three models (models 1-3) were developed, incorporating CT, CT and PET, PET and MRI features, and Lasso regression was used in feature selection. The receiver operating characteristic (ROC) curve for PI diagnosis was visualized for each model, and the area under the curve (AUC) was calculated. The DeLong test was used to compare the different AUCs. A P value < 0.05 was considered statistically significant. Results The AUC of models 1-3 was 0.762, 0.829, and 0.915, respectively. The DeLong test showed a statistically significant difference between the AUCs of model 1 vs. model 3, while the differences between the AUCs of model 1 vs. model 2 (P = 0.253) and model 2 vs. model 3 (P = 0.075) were not statistically significant. Data conclusion F-18-FDG PET/MRI might show high predictive value for lung adenocarcinoma smaller than 3 cm with PI. Evidence Level 1 Technical Efficacy Stage 2
URI http://hdl.handle.net/20.500.11897/654251
ISSN 1053-1807
DOI 10.1002/jmri.28422
Indexed SCI(E)
Appears in Collections: 北京肿瘤医院

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