A personalized computational model predicts cancer risk level of oral potentially malignant disorders and its web application for promotion of non-invasive screening.

Journal: Journal of oral pathology & medicine : official publication of the International Association of Oral Pathologists and the American Academy of Oral Pathology
Published Date: Jan 4, 2020

Abstract

BACKGROUND: Despite their high accuracy to recognize oral potentially malignant disorders (OPMDs) with cancer risk, non-invasive oral assays are poor in discerning whether the risk is high or low. However, it is critical to identify the risk levels, since high-risk patients need active intervention, while low-risk ones simply need to be follow-up. This study aimed at developing a personalized computational model to predict cancer risk level of OPMDs and explore its potential web application in OPMDs screening.

Authors

  • Xiangjian Wang
    State Key Laboratory of Oral Diseases, Department of Oral Medicine, West China Hospital of Stomatology, Sichuan University, Chengdu, China.
  • Jin Yang
    Department of Critical Care Medicine, Chongqing General Hospital, Chongqing, China.
  • Changlei Wei
    State Key Laboratory of Oral Diseases, Department of Oral Medicine, West China Hospital of Stomatology, Sichuan University, Chengdu, China.
  • Gang Zhou
    School of Information Science and Engineering, Xinjiang University, Shangli Road, Urumqi 830046, China.
  • Lanyan Wu
    Department of Oral Pathology, West China Hospital of Stomatology, Sichuan University, Chengdu, China.
  • Qinghong Gao
    Department of Oral and Maxillofacial surgery, West China Hospital of Stomatology, Sichuan University, Chengdu, China.
  • Xin He
    Department of Nephrology, The Affiliated Hospital of Guizhou Medical, Guizhou, China.
  • Jiahong Shi
    State Key Laboratory of Oral Diseases, Department of Oral Medicine, West China Hospital of Stomatology, Sichuan University, Chengdu, China.
  • Yingying Mei
    State Key Laboratory of Oral Diseases, Department of Oral Medicine, West China Hospital of Stomatology, Sichuan University, Chengdu, China.
  • Ying Liu
    The First School of Clinical Medicine, Lanzhou University, Lanzhou, China.
  • Xueke Shi
    State Key Laboratory of Oral Diseases, Department of Oral Medicine, West China Hospital of Stomatology, Sichuan University, Chengdu, China.
  • Fanglong Wu
    State Key Laboratory of Oral Diseases, Department of Oral Medicine, West China Hospital of Stomatology, Sichuan University, Chengdu, China.
  • Jingjing Luo
    State Key Laboratory of Oral Diseases, Department of Oral Medicine, West China Hospital of Stomatology, Sichuan University, Chengdu, China.
  • Yiqing Guo
    State Key Laboratory of Oral Diseases, Department of Oral Medicine, West China Hospital of Stomatology, Sichuan University, Chengdu, China.
  • Qizhi Zhou
    School of Acupuncture-Moxibustion and Tuina, Chengdu University of TCM, Chengdu, China.
  • Jiaxin Yin
    Department of Preventive Dentistry, West China Hospital of Stomatology, Sichuan University, Chengdu, China.
  • Tao Hu
    Department of Preventive Dentistry, State Key Laboratory of Oral Diseases, West China Hospital of Stomatology, Sichuan University, Chengdu, Sichuan, China.
  • Mei Lin
    State Key Laboratory of Oral Diseases, Department of Oral Medicine, West China Hospital of Stomatology, Sichuan University, Chengdu, China.
  • Zhi Liang
    Hefei National Laboratory for Physical Sciences at Microscale and School of Life Science, University of Science and Technology of China, Hefei, China.
  • Hongmei Zhou
    State Key Laboratory of Oral Diseases, Department of Oral Medicine, West China Hospital of Stomatology, Sichuan University, Chengdu, China.

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