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Utility of a Clinical Decision Support System in Weight Loss Prediction After Head and Neck Cancer Radiotherapy
- Source :
- JCO clinical cancer informatics. 3
- Publication Year :
- 2019
-
Abstract
- PURPOSE To evaluate the utility of a clinical decision support system (CDSS) using a weight loss prediction model. METHODS A prediction model for significant weight loss (loss of greater than or equal to 7.5% of body mass at 3-month post radiotherapy) was created with clinical, dosimetric, and radiomics predictors from 63 patients in an independent training data set (accuracy, 0.78; area under the curve [AUC], 0.81) using least absolute shrinkage and selection operator logistic regression. Four physicians with varying experience levels were then recruited to evaluate 100 patients in an independent validation data set of head and neck cancer twice (ie, a pre-post design): first without and then with the aid of a CDSS derived from the prediction model. At both evaluations, physicians were asked to predict the development (yes/no) and probability of significant weight loss for each patient on the basis of patient characteristics, including pretreatment dysphagia and weight loss and information from the treatment plan. At the second evaluation, physicians were also provided with the prediction model’s results for weight loss probability. Physicians’ predictions were compared with actual weight loss, and accuracy and AUC were investigated between the two evaluations. RESULTS The mean accuracy of the physicians’ ability to identify patients who will experience significant weight loss (yes/no) increased from 0.58 (range, 0.47 to 0.63) to 0.63 (range, 0.58 to 0.72) with the CDSS ( P = .06). The AUC of weight loss probability predicted by physicians significantly increased from 0.56 (range, 0.46 to 0.64) to 0.69 (range, 0.63 to 0.73) with the aid of the CDSS ( P < .05). Specifically, more improvement was observed among less-experienced physicians ( P < .01). CONCLUSION Our preliminary results demonstrate that physicians’ decisions may be improved by a weight loss CDSS model, especially among less-experienced physicians. Additional study with a larger cohort of patients and more participating physicians is thus warranted for understanding the usefulness of CDSSs.
- Subjects :
- Male
Decision support system
medicine.medical_specialty
medicine.medical_treatment
MEDLINE
Clinical decision support system
030218 nuclear medicine & medical imaging
03 medical and health sciences
0302 clinical medicine
Weight loss
Physicians
Weight Loss
Odds Ratio
Medicine
Combined Modality Therapy
Humans
Radiometry
Aged
Neoplasm Staging
Radiotherapy
business.industry
Radiotherapy Planning, Computer-Assisted
Head and neck cancer
Reproducibility of Results
General Medicine
Odds ratio
Middle Aged
medicine.disease
Decision Support Systems, Clinical
Prognosis
Radiation therapy
Head and Neck Neoplasms
030220 oncology & carcinogenesis
Area Under Curve
Female
Radiology
Clinical Competence
medicine.symptom
business
Tomography, X-Ray Computed
Subjects
Details
- ISSN :
- 24734276
- Volume :
- 3
- Database :
- OpenAIRE
- Journal :
- JCO clinical cancer informatics
- Accession number :
- edsair.doi.dedup.....80e1119abb000869eb76a72b1f2ff612