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Auxiliary Diagnosis of Papillary Thyroid Carcinoma Based on spectral phenotype

Phenomics 2023年第5期3卷 469-484页

作者： Bailiang Zhao Yan Wang Menghan Hu Yue Wu Jiannan Liu Qingli Li Min Dai Wendell QSun Guangtao Zhai Shanghai Key Laboratory of Multidimensional Information Processing East China Normal UniversityShanghai 200241China School of Health Science and Engineering University of Shanghai for Science and TechnologyShanghai 200093China Department of Pathology The Second People’s Hospital of WuhuWuhu 241000AnhuiChina Ophthalmology Department Shanghai Ninth People’s HospitalShanghai Jiao Tong University School of MedicineShanghai 610101China Department of Oral Maxillofacial Head Neck Oncology Shanghai Ninth People’s HospitalShanghai Jiao Tong University School of MedicineShanghai 200011China Institute of Image Communication and Information Processing Shanghai Jiao Tong UniversityShanghai 200240China

Thyroid cancer,a common endocrine malignancy,is one of the leading death causes among endocrine *** diagnosis of pathological section analysis suffers from diagnostic delay and cumbersome operating ***,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 *** 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 *** obtained spectral dataset contains 217 spectra of normal thyroid tissue and 217 spectra of PTC *** data of the corresponding patients were collected for subsequent model interpretability *** experiment has been approved by the Ethics Review Committee of the Wuhu Hospital of East China Normal *** 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 *** 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 *** 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 ***,the absorption peak of hemoglobin selected for modeling is consistent with the low hemoglobin index in PTC *** addition,the correlation analysis was performed between the selected wavelengths and the clinical data,and the results show:the ref

关键词： Interpretable pathologic model Pathological analysis Intraoperative detection spectral phenotype

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