Auxiliary Diagnosis of Papillary Thyroid Carcinoma Based on Spectral Phenotype  

作　　者：Bailiang Zhao Yan Wang Menghan Hu Yue Wu Jiannan Liu Qingli Li Min Dai Wendell QSun Guangtao Zhai 

机构地区：[1]Shanghai Key Laboratory of Multidimensional Information Processing,East China Normal University,Shanghai 200241,China [2]School of Health Science and Engineering,University of Shanghai for Science and Technology,Shanghai 200093,China [3]Department of Pathology,The Second People’s Hospital of Wuhu,Wuhu 241000,Anhui,China [4]Ophthalmology Department,Shanghai Ninth People’s Hospital,Shanghai Jiao Tong University School of Medicine,Shanghai 610101,China [5]Department of Oral Maxillofacial Head Neck Oncology,Shanghai Ninth People’s Hospital,Shanghai Jiao Tong University School of Medicine,Shanghai 200011,China [6]Institute of Image Communication and Information Processing,Shanghai Jiao Tong University,Shanghai 200240,China

出　　处：《Phenomics》2023年第5期469-484,共16页表型组学（英文）

基　　金：supported by the grant awarded by the National Natural Science Foundation of China(No.62225112,No.61831015);the key research and development project of Anhui Province(No.202104j07020059).

摘　　要：Thyroid cancer,a common endocrine malignancy,is one of the leading death causes among endocrine tumors.The diagnosis of pathological section analysis suffers from diagnostic delay and cumbersome operating procedures.Therefore,we intend to construct the models based on spectral data that can be potentially used for rapid intraoperative papillary thyroid carcinoma(PTC)diagnosis and characterize PTC characteristics.To alleviate any concerns pathologists may have about using the model,we conducted an analysis of the used bands that can be interpreted pathologically.A spectra acquisition system was first built to acquire spectra of pathological section images from 91 patients.The obtained spectral dataset contains 217 spectra of normal thyroid tissue and 217 spectra of PTC tissue.Clinical data of the corresponding patients were collected for subsequent model interpretability analysis.The experiment has been approved by the Ethics Review Committee of the Wuhu Hospital of East China Normal University.The spectral preprocessing method was used to process the spectra,and the preprocessed signal respectively optimized by the first and secondary informative wavelengths selection was used to develop the PTC detection models.The PTC detection model using mean centering(MC)and multiple scattering correction(MSC)has optimal performance,and the reasons for the good performance were analyzed in combination with the spectral acquisition process and composition of the test slide.For model interpretable analysis,the near-ultraviolet band selected for modeling corresponds to the location of amino acid absorption peak,and this is consistent with the clinical phenomenon of significantly lower amino acid concentrations in PTC patients.Moreover,the absorption peak of hemoglobin selected for modeling is consistent with the low hemoglobin index in PTC patients.In addition,the correlation analysis was performed between the selected wavelengths and the clinical data,and the results show:the reflection intensity of selected wavelengths in nor

关 键 词：Interpretable pathologic model Pathological analysis Intraoperative detection Spectral phenotype 

分 类 号：R736.1[医药卫生—肿瘤]