Independent validation of a dysphagia dose response model for the selection of head and neck cancer patients to proton therapy. (October 2022)
- Record Type:
- Journal Article
- Title:
- Independent validation of a dysphagia dose response model for the selection of head and neck cancer patients to proton therapy. (October 2022)
- Main Title:
- Independent validation of a dysphagia dose response model for the selection of head and neck cancer patients to proton therapy
- Authors:
- Kalendralis, Petros
Sloep, Matthijs
Moni George, Nibin
Snel, Jasper
Veugen, Joeri
Hoebers, Frank
Wesseling, Frederik
Unipan, Mirko
Veening, Martijn
Langendijk, Johannes A.
Dekker, Andre
van Soest, Johan
Fijten, Rianne - Abstract:
- Abstract: Background and purpose: The model based approach involves the use of normal tissue complication models for selection of head and neck cancer patients to proton therapy. Our goal was to validate the clinical utility of the related dysphagia model using an independent patient cohort. Materials and Methods: A dataset of 277 head and neck cancer (pharynx and larynx) patients treated with (chemo)radiotherapy between 2019 and 2021 was acquired. For the evaluation of the model discrimination we used statistical metrics such as the sensitivity, specificity and the area under the receiver operating characteristic curve. After the validation we evaluated if the dysphagia model can be improved using the closed testing procedure, the Brier and the Hosmer-Lemeshow score. Results: The performance of the original normal tissue complication probability model for dysphagia grade II-IV at 6 months was good (AUC = 0.80). According to the graphical calibration assessment, the original model showed underestimated dysphagia risk predictions. The closed testing procedure indicated that the model had to be updated and selected a revised model with new predictor coefficients as an optimal model. The revised model had also satisfactory discrimination (AUC = 0.83) with improved calibration. Conclusion: The validation of the normal tissue complication probability model for grade II-IV dysphagia was successful in our independent validation cohort. However, the closed testing procedureAbstract: Background and purpose: The model based approach involves the use of normal tissue complication models for selection of head and neck cancer patients to proton therapy. Our goal was to validate the clinical utility of the related dysphagia model using an independent patient cohort. Materials and Methods: A dataset of 277 head and neck cancer (pharynx and larynx) patients treated with (chemo)radiotherapy between 2019 and 2021 was acquired. For the evaluation of the model discrimination we used statistical metrics such as the sensitivity, specificity and the area under the receiver operating characteristic curve. After the validation we evaluated if the dysphagia model can be improved using the closed testing procedure, the Brier and the Hosmer-Lemeshow score. Results: The performance of the original normal tissue complication probability model for dysphagia grade II-IV at 6 months was good (AUC = 0.80). According to the graphical calibration assessment, the original model showed underestimated dysphagia risk predictions. The closed testing procedure indicated that the model had to be updated and selected a revised model with new predictor coefficients as an optimal model. The revised model had also satisfactory discrimination (AUC = 0.83) with improved calibration. Conclusion: The validation of the normal tissue complication probability model for grade II-IV dysphagia was successful in our independent validation cohort. However, the closed testing procedure indicated that the model should be updated with new coefficients. … (more)
- Is Part Of:
- Physics and imaging in radiation oncology. Volume 24(2022)
- Journal:
- Physics and imaging in radiation oncology
- Issue:
- Volume 24(2022)
- Issue Display:
- Volume 24, Issue 2022 (2022)
- Year:
- 2022
- Volume:
- 24
- Issue:
- 2022
- Issue Sort Value:
- 2022-0024-2022-0000
- Page Start:
- 47
- Page End:
- 52
- Publication Date:
- 2022-10
- Subjects:
- Radiotherapy -- Periodicals
Radiation dosimetry -- Periodicals
Cancer -- Imaging -- Periodicals
Oncology -- Periodicals
615.842 - Journal URLs:
- http://www.sciencedirect.com/ ↗
https://www.journals.elsevier.com/physics-and-imaging-in-radiation-oncology/ ↗ - DOI:
- 10.1016/j.phro.2022.09.005 ↗
- Languages:
- English
- ISSNs:
- 2405-6316
- Deposit Type:
- Legaldeposit
- View Content:
- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library DSC - BLDSS-3PM
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