Construction of a Multimodal Machine Learning Model for Papillary Thyroid Carcinoma Based on Pathomics and Ultrasound Radiomics Dataset.

Journal: Data in brief
Published Date: Apr 28, 2025

Abstract

The use of machine learning to integrate and analyse multimodal information has broad prospects for enhancing the precision of tumour diagnosis. Our study constructed a multimodal diagnostic model for papillary thyroid carcinoma (PTC) by integrating pathomics and ultrasound radiomics characteristics using artificial intelligence machine learning methods, aiming to improve the efficiency of pathologists. A retrospective analysis was conducted on 222 cases with postoperative diagnoses of PTC and 163 cases with postoperative diagnoses of benign thyroid nodules. Scanning was used to obtain cytopathology digitised images, cut image blocks and outline the corresponding ultrasound imaging lesions to extract pathomics and ultrasound radiomics features. Three methods, as eXtreme gradient boosting (XGBoost), support vector machine (SVM), and random forest (RF) algorithms, were applied to construct PTC cytopathological diagnostic models. The efficacy of the models was evaluated and validated with the area under receiver operating characteristic curve (AUC), and the performance of single-modal, multimodal, and artificial diagnostic models was compared.

Authors

  • Yu-Yan Pang
    Department of Pathology, The First Affiliated Hospital of Guangxi Medical University, No. 6 Shuangyong Road, Nanning, Guangxi Zhuang Autonomous Region, 530021, PR China.
  • Zhong-Qing Tang
    Department of Pathology, Wuzhou Gongren Hospital, The Seventh Affiliated Hospital of Guangxi Medical University, No. 1, Nansanxiang Gaodi Road, Wuzhou, Guangxi Zhuang Autonomous Region, 543000, PR China.
  • Chang Song
    School of Arts and Media, Sichuan Agricultural University, Ya'an 625014, P.R. China.
  • Ning Qu
    Drug Discovery and Design Center, State Key Laboratory of Drug Research, Shanghai Institute of Materia Medica, Chinese Academy of Sciences, 555 Zuchongzhi Road, Shanghai, 201203, China.
  • Jing-Yu Chen
    Wuxi Lung Transplant Center, Wuxi People's Hospital affiliated to Nanjing Medical University, Wuxi, China.
  • Dan-Dan Xiong
    Department of Pathology, The First Affiliated Hospital of Guangxi Medical University, No. 6 Shuangyong Road, Nanning, Guangxi Zhuang Autonomous Region, 530021, PR China.
  • Zhen-Bo Feng
    Department of Pathology, The First Affiliated Hospital of Guangxi Medical University, No. 6 Shuangyong Road, Nanning, Guangxi Zhuang Autonomous Region, 530021, PR China.
  • Gang Chen
    Department of Orthopedics, West China Hospital, Sichuan University, Chengdu, Sichuan, China.

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