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Watson for oncology decision system for treatment consistency study in breast cancer

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Abstract

The Watson for Oncology (WFO) decision system has been rolled out in many cancers. However, the consistency of treatment for breast cancer is still unclear in relatively economically disadvantaged areas. Patients with postoperative adjuvant stage (January 2017 to December 2017) and advanced-stage breast cancer (January 2014 to December 2018) in northwest of China were included in this study. Patient information was imported to make treatment decisions using Watson version 19.20 analysis and subsequently compared with clinician decisions and analyzed for influencing factors. A total of 263 patients with postoperative adjuvant breast cancer and 200 with advanced breast cancer were included in this study. The overall treatment modality for WFO was in 80.2% and 50.5% agreement with clinicians in the adjuvant and advanced-stage population, respectively. In adjuvant treatment after breast cancer surgery, menopausal status (odds ratio (OR) = 2.89, P = 0.012, 95% CI, 1.260–6.630), histological grade (OR = 0.22, P = 0.019, 95% CI, 0.061–0.781) and tumor stage (OR = 0.22, P = 0.042, 95% CI, 0.050–0.943) were independent factors affecting the concordance between the two stages. In the first-line treatment of advanced breast cancer, hormone receptor status was a factor influencing the consistency of treatment (χ2 = 14.728, P < 0.001). There was good agreement between the WFOs and clinicians' treatment decisions in postoperative adjuvant breast cancer, but poor agreement was observed in patients with advanced breast cancer.

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Funding

This work was supported by grants from the Watson for Oncology artificial intelligence-assisted decision-making system for the clinical management of breast cancer (Xinlan Liu). The sponsors played no role in the study design, data collection, analysis, or decision to submit the article for publication.

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Author notes

  1. Yaobang Liu and Xingfa Huo have contributed equally to this work.

  2. Yaobang Liu and Xingfa Huo: Co-first authors.

Authors and Affiliations

  1. Department of Surgical Oncology, General Hospital of Ningxia Medical University, Yinchuan, 750004, Ningxia, People’s Republic of China

    Yaobang Liu

  2. Breast Disease Diagnosis and Treatment Center of Affiliated Hospital of Qinghai University, Affiliated Cancer Hospital of Qinghai University, Xining, 810000, People’s Republic of China

    Xingfa Huo, Guoshuang Shen, Miaozhou Wang, Dengfeng Ren, Fuxing Zhao, Zhen Liu & Jiuda Zhao

  3. Department of Oncology, Yinchuan Hospital of Traditional Chinese Medicine, Yinchuan, 750004, People’s Republic of China

    Qi Li

  4. Department of Clinical Nutrition, People’s Hospital of Ningxia Hui Autonomous Region, Yinchuan, 750002, People’s Republic of China

    Yishuang Li

  5. Department of Medical Oncology, General Hospital of Ningxia Medical University, Yinchuan, 750004, People’s Republic of China

    Xinlan Liu

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  1. Yaobang Liu
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Contributions

Drs LY, Huo, ZJ, LX contributed to the conception and the drafting of manuscripts. Drs Zhao F, Liu X are responsible for coordinating and participating in the article revision. All authors read and approved the final manuscript. Drs LY and Huo contributed equally to this work and are co–first authors. Concept and design: ZJ, LX. Acquisition, analysis, or interpretation of data: Huo, LY. Drafting of the manuscript: Huo, LQ. Critical revision of the manuscript for important intellectual content: All authors. Statistical analysis: LQ, LY. Obtained funding: All authors. Administrative, technical, or material support: All authors. Supervision: All authors. All authors contributed to the article and approved the submitted version.

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Correspondence to Jiuda Zhao or Xinlan Liu.

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Liu, Y., Huo, X., Li, Q. et al. Watson for oncology decision system for treatment consistency study in breast cancer. Clin Exp Med 23, 1649–1657 (2023). https://doi.org/10.1007/s10238-022-00896-z

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