Increasing the accuracy and reproducibility of positron emission tomography radiomics for predicting pelvic lymph node metastasis in patients with cervical cancer using 3D local binary pattern-based texture features  

作　　者：Yang Yu Xiaoran Li Tianming Du Md Rahaman Marcin Jerzy Grzegorzek Chen Li Hongzan Sun 

机构地区：[1]Department of Radiology,Shengjing Hospital of China Medical University,Shenyang,Liaoning 110001,China [2]Liaoning Provincial Key Laboratory of Medical Imaging,School of Computer Science and Engineering Northeastern University,Shenyang,Liaoning 110169,China [3]Department of Radiology,Xuanwu Hospital,Capital medical University,Beijing 100053,China [4]Beijing Key Laboratory of Magnetic Resonance Imaging and Brain Informatics,Peking University Health Science Center,Beijing 100191,China [5]College of Medicine and Biological Information Engineering,Northeastern University,Shenyang,Liaoning 110169,China [6]The University of New South Wales,Australia [7]University of Lübeck,Germany

出　　处：《Intelligent Medicine》2024年第3期153-160,共8页智慧医学（英文）

基　　金：sponsored in part by the National Natural Science Foundation of China(Grant No.82220108007);Shenyang High Level Innovative Talents Support Program(Grant No.RC210138).

摘　　要：Background The reproducibility of positron emission tomography(PET)radiomics features is affected by several factors,such as scanning equipment,drug metabolism time and reconstruction algorithm.We aimed to explore the role of 3D local binary pattern(LBP)-based texture in increasing the accuracy and reproducibility of PET radiomics for predicting pelvic lymph node metastasis(PLNM)in patients with cervical cancer.Methods We retrospectively analysed data from 177 patients with cervical squamous cell carcinoma.They un-derwent18 F-fluorodeoxyglucose(18 F-FDG)whole-body PET/computed tomography(PET/CT),followed by pelvic 18 F-FDG PET/magnetic resonance imaging(PET/MR).We selected reproducible and informative PET radiomics features using Lin’s concordance correlation coefficient,least absolute shrinkage and selection operator algorithm,and established 4 models,PET/CT,PET/CT-fusion,PET/MR and PET/MR-fusion,using the logistic regression al-gorithm.We performed receiver operating characteristic(ROC)curve analysis to evaluate the models in the training data set(65 patients who underwent radical hysterectomy and pelvic lymph node dissection)and test data set(112 patients who received concurrent chemoradiotherapy or no treatment).The DeLong test was used for pairwise comparison of the ROC curves among the models.Results The distribution of age,squamous cell carcinoma(SCC),International Federation of Gynaecology and Obstetrics stage and PLNM between the training and test data sets were different(P<0.05).The LBP-transformed radiomics features(50/379)had higher reproducibility than the original radiomics features(9/107).Accuracy of each model in predicting PLNM was as follows:training data set:PET/CT=PET/CT-fusion=PET/MR-fusion(0.848)and test data set:PET/CT=PET/CT-fusion(0.985)>PET/MR=PET/MR-fusion(0.954).There was no statistical difference between the ROC curve of PET/CT and PET/MR models in both data sets(P>0.05).Conclusions The LBP-transformed radiomics features based on PET images could increase the accuracy and reproducib

关 键 词：Positron emission tomography Radiomics Cervical cancer REPRODUCIBILITY Pelvic lymph node metastasis 

分 类 号：R73[医药卫生—肿瘤]