BACKGROUND AND PURPOSE: The aim of this study was to develop and validate a method to select head and neck cancer patients for adaptive radiotherapy (ART) pre-treatment. Potential pre-treatment selection criteria presented in recent literature were included in the analysis. MATERIALS AND METHODS: Deviations from the planned parotid gland mean dose (PG ΔDmean) were estimated for 113 head and neck cancer patients by re-calculating plans on repeat CT scans. Uni- and multivariable linear regression analyses were performed to select pre-treatment parameters, and ROC curve analysis was used to determine cut off values, for selecting patients with a PG dose deviation larger than 3Gy. The patient selection method was validated in a second patient cohort of 43 patients. RESULTS: After multivariable analysis, the planned PG Dmean remained the only significant parameter for PG ΔDmean. A sensitivity of 91% and 80% could be obtained using a threshold of PG Dmean of 22.2Gy, for the development and validation cohorts, respectively. This would spare 38% (development cohort) and 24% (validation cohort) of patients from the labour-intensive ART procedure. CONCLUSIONS: The presented method to select patients for ART pre-treatment reduces the labour of ART, contributing to a more effective allocation of the department resources.
BACKGROUND AND PURPOSE: The aim of this study was to develop and validate a method to select head and neck cancerpatients for adaptive radiotherapy (ART) pre-treatment. Potential pre-treatment selection criteria presented in recent literature were included in the analysis. MATERIALS AND METHODS: Deviations from the planned parotid gland mean dose (PG ΔDmean) were estimated for 113 head and neck cancerpatients by re-calculating plans on repeat CT scans. Uni- and multivariable linear regression analyses were performed to select pre-treatment parameters, and ROC curve analysis was used to determine cut off values, for selecting patients with a PG dose deviation larger than 3Gy. The patient selection method was validated in a second patient cohort of 43 patients. RESULTS: After multivariable analysis, the planned PG Dmean remained the only significant parameter for PG ΔDmean. A sensitivity of 91% and 80% could be obtained using a threshold of PG Dmean of 22.2Gy, for the development and validation cohorts, respectively. This would spare 38% (development cohort) and 24% (validation cohort) of patients from the labour-intensive ART procedure. CONCLUSIONS: The presented method to select patients for ART pre-treatment reduces the labour of ART, contributing to a more effective allocation of the department resources.
Authors: Sebastien A A Gros; Anand P Santhanam; Alec M Block; Bahman Emami; Brian H Lee; Cara Joyce Journal: Front Oncol Date: 2022-06-30 Impact factor: 5.738
Authors: Lisanne V van Dijk; Johannes A Langendijk; Tian-Tian Zhai; Thea A Vedelaar; Walter Noordzij; Roel J H M Steenbakkers; Nanna M Sijtsema Journal: Sci Rep Date: 2019-08-28 Impact factor: 4.379
Authors: Sarah Weppler; Harvey Quon; Colleen Schinkel; James Ddamba; Nabhya Harjai; Clarisse Vigal; Craig A Beers; Lukas Van Dyke; Wendy Smith Journal: Front Oncol Date: 2021-06-07 Impact factor: 6.244
Authors: David J Noble; Ping-Lin Yeap; Shannon Y K Seah; Karl Harrison; Leila E A Shelley; Marina Romanchikova; Amy M Bates; Yaolin Zheng; Gillian C Barnett; Richard J Benson; Sarah J Jefferies; Simon J Thomas; Raj Jena; Neil G Burnet Journal: Radiother Oncol Date: 2018-07-23 Impact factor: 6.280