Preoperative prediction of mediastinal lymph node metastasis in non-small cell lung cancer based on 18F-FDG PET/CT radiomics

作者全名："Huang, Y.; Jiang, X.; Xu, H.; Zhang, D.; Liu, L. -n.; Xia, Y. -x.; Xu, D. -k.; Wu, H. -j.; Cheng, G.; Shi, Y. -h."

作者地址："[Huang, Y.; Jiang, X.; Liu, L. -n.; Xia, Y. -x.; Xu, D. -k.; Wu, H. -j.; Shi, Y. -h.] Second Affiliated Hosp, China Natl Nucl Corp Hosp 416, Chengdu Med Coll, Dept Nucl Med, Chengdu, Sichuan, Peoples R China; [Xu, H.] Univ Elect Sci & Technol China, Sichuan Canc Hosp & Inst, Sichuan Canc Ctr, Sch Med,Dept Radiol, Chengdu, Peoples R China; [Zhang, D.; Cheng, G.] Chongqing Med Univ, Affiliated Hosp 1, Dept Nucl Med, Chongqing, Peoples R China; [Shi, Y. -h.] second Affiliated Hosp, China Natl Nucl Corp Hosp 416, Chengdu Med Coll, Dept Nucl Med, Chengdu 610051, Peoples R China; [Cheng, G.] Chongqing Med Univ, Affiliated Hosp 1, Dept Nucl Med, 1 Youyi Rd Yuanjiagang, Chongqing, Peoples R China"

通信作者："Shi, YH (通讯作者)，second Affiliated Hosp, China Natl Nucl Corp Hosp 416, Chengdu Med Coll, Dept Nucl Med, Chengdu 610051, Peoples R China.; Cheng, G (通讯作者)，Chongqing Med Univ, Affiliated Hosp 1, Dept Nucl Med, 1 Youyi Rd Yuanjiagang, Chongqing, Peoples R China."

来源：CLINICAL RADIOLOGY

ESI学科分类：CLINICAL MEDICINE

WOS号：WOS:000909902900001

JCR分区：Q2

影响因子：2.1

年份：2023

卷号：78

期号：1

开始页：8

结束页：17

文献类型：Article

关键词：　

摘要："AIM: To establish and verify a 2-[18F]-fluoro-2-deoxy-D-glucose (FDG) positron-emission tomography (PET)/computed tomography (CT)-based radiomics nomogram to predict mediastinal lymph node metastasis (LNM) in non-small cell lung cancer (NSCLC) patients preoperatively.MATERIALS AND METHODS: This retrospective study enrolled 155 NSCLC patients (primary cohort, n=93; validation cohort, n=62). For each patient, 2,704 radiomic features were extracted from the primary lung cancer regions. Four procedures including the Mann-Whitney U-test, Spearman's correlation analysis, minimum redundancy-maximum relevance (mRMR), and least absolute shrinkage and selection operator (LASSO) binary logistic regression were utilised for determining essential features and establishing a radiomics signature. After that, a nomogram was established. The nomogram's potential was assessed based on its discrimination, calibration, and clinical usefulness. The radiomics signature and nomogram predictive performances were evaluated with respect to the area under the receiver operating characteristic curve (AUC), specificity, accuracy, and sensitivity.RESULTS: The radiomics signature composed of eight selected features had good discriminatory performance of LNM versus non-LNM groups an AUC of 0.851 and 0.826 in primary and validation cohorts, respectively. The nomogram also indicated good discrimination with an AUC of 0.869 and 0.847 in the primary and validation cohorts, respectively. Furthermore, good calibration was demonstrated utilising the nomogram.CONCLUSIONS: An 18F-FDG PET/CT-based radiomics nomogram that integrates the radiomics signature and age was promoted to predict mediastinal LNM within NSCLC patients, which could potentially facilitate individualised therapy for mediastinal LNM before treatment. The nomogram was beneficial in clinical practice, as illustrated by decision curve analysis.(c) 2022 The Royal College of Radiologists. Published by Elsevier Ltd. All rights reserved."

基金机构：Scientific Research Project of Medicine Department of Sichuan Province [S18001]; Health Commission of Sichuan Province [20PJ227]; Scientific Research Project of Medicine Department of Chengdu City [2021051]

基金资助正文："This work was supported by the Scientific Research Project of Medicine Department of Sichuan Province (S18001), Health Commission of Sichuan Province (20PJ227), and Scientific Research Project of Medicine Department of Chengdu City (2021051)."