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A pairwise radiomics algorithm–lesion pair relation estimation model for distinguishing multiple primary lung cancer from intrapulmonary metastasis

引用

Precision Clinical Medicine 2023年第4期6卷 239-247页

作者： Ting-Fei Chen Lei Yang Hai-Bin Chen Zhi-Guo Zhou Zhen-Tian Wu Hong-He Luo Qiong Li Ying Zhu Department of Thoracic Surgery The First Affiliated Hospital of Sun Yat-sen UniversityGuangzhou 510000China breax laboratory PCAB Research Center of Breath and MetabolismBeijing 100017China Reliable Intelligence and Medical Innovation laboratory(RIMI Lab) Department of Biostatistics&Data ScienceUniversity of Kansas Medical Centerand University of Kansas Cancer CenterKansas CityKS 66160USA Center for Information Technology&Statistics Statistics SectionThe First Affiliated Hospital of Sun Yat-sen UniversityGuangzhou 510000China Department of Radiology Sun Yat-sen University Cancer CenterState Key Laboratory of Oncology in South ChinaCollaborative Innovation Center for Cancer MedicineGuangzhou 510000China Department of Radiology The First Affiliated Hospital of Sun Yat-sen UniversityGuangzhou 510000China

Background:Distinguishing multiple primary lung cancer(MPLC)from intrapulmonary metastasis(IPM)is critical for their disparate treatment strategy and *** study aimed to establish a non-invasive model to make the differentiation ***:We retrospectively studied 168 patients with multiple lung cancers(307 pairs of lesions)including 118 cases for modeling and internal validation,and 50 cases for independent external *** features on computed tomography(CT)were extracted to calculate the absolute deviation of paired *** were then selected by correlation coefficients and random forest classifier 5-fold cross-validation,based on which the lesion pair relation estimation(PRE)model was developed.A major voting strategy was used to decide diagnosis for cases with multiple pairs of *** from another institute were included as the external validation set for the PRE model to compete with two experienced ***:Seven radiomic features were selected for the PRE model *** major voting strategy,the mean area under receiver operating characteristic curve(AUC),accuracy,sensitivity,and specificity of the training versus internal validation versus external validation cohort to distinguish MPLC were 0.983 versus 0.844 versus 0.793,0.942 versus 0.846 versus 0.760,0.905 versus 0.728 versus 0.727,and 0.962 versus 0.910 versus 0.769,*** of the two clinicians were 0.619 and ***:The CT radiomic feature-based lesion PRE model is potentially an accurate diagnostic tool for the differentiation of MPLC and IPM,which could help with clinical decision making.

关键词： multiple primary lung cancer radiomics intrapulmonary metastasis

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