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Early experience with Watson for oncology in Korean patients with colorectal cancer.
- Source :
-
PloS one [PLoS One] 2019 Mar 25; Vol. 14 (3), pp. e0213640. Date of Electronic Publication: 2019 Mar 25 (Print Publication: 2019). - Publication Year :
- 2019
-
Abstract
- Background: Watson for oncology (WFO) is a cognitive computing system providing decision support. We evaluated the concordance rates between the treatment options determined by WFO and those determined by a multidisciplinary team (MDT).<br />Methods: We reviewed the medical charts of patients diagnosed with colorectal cancer who visited the MDT at a single tertiary medical center from November 2016 to April 2017. WFO classified the treatment options for specific patients into three categories: 'Recommended', 'For consideration', and 'Not recommended'. Concordance rates between the WFO- and MDT-determined chemotherapy options, and the factors that potentially influence the concordance rate, were analyzed.<br />Results: Sixty-nine patients with colorectal cancer met with the MDT from Nov. 2016 to Feb. 2017. The mean age of the patients was 62 years (range: 34-86 years), and more patients were male (47/69) than female. Of the 69 patients, 51 (73.9%) were diagnosed with colon cancer, of whom 46.4% received the same regimen recommendation from WFO ('Recommended') as they did from the MDT. After inclusion of the 'For consideration' category from WFO, the concordance rate increased to 87.0%. The concordance rate between MDT and NCCN guidelines was 97.1%, and that between the WFO and NCCN guidelines was 88.4%. The concordance rates between WFO and MDT were significantly lower in patients with stage II, IIIC, or IV disease (P<0.001), and the colorectal cancer stage was the only statistically significant factor discriminating between WFO and MDT.<br />Conclusions: The concordance rate between chemotherapy regimens for colorectal cancer determined by MDT versus WFO recommendations was 46.4%. After including the 'For consideration' category from WFO, the concordance rate increased to 88.4%. Further modification and improvement of the WFO prioritizing algorithm used to recommend treatment may increase the usefulness of WFO in the clinic.<br />Competing Interests: The authors have declared that no competing interest exist.
- Subjects :
- Adult
Aged
Aged, 80 and over
Algorithms
Computers
Female
Humans
Interdisciplinary Communication
Male
Middle Aged
Neoplasm Staging
Patient Care Team
Practice Guidelines as Topic
Reproducibility of Results
Republic of Korea
Retrospective Studies
Software
Treatment Outcome
User-Computer Interface
Colorectal Neoplasms diagnosis
Colorectal Neoplasms therapy
Decision Support Systems, Clinical
Expert Systems
Medical Oncology instrumentation
Subjects
Details
- Language :
- English
- ISSN :
- 1932-6203
- Volume :
- 14
- Issue :
- 3
- Database :
- MEDLINE
- Journal :
- PloS one
- Publication Type :
- Academic Journal
- Accession number :
- 30908530
- Full Text :
- https://doi.org/10.1371/journal.pone.0213640