Literature DB >> 33421557

Combining Clinical and Dosimetric Features in a PBS Proton Therapy Cohort to Develop a NTCP Model for Radiation-Induced Optic Neuropathy.

Andreas Köthe1, Peter van Luijk2, Sairos Safai3, Melpomeni Kountouri4, Antony John Lomax5, Damien Charles Weber6, Giovanni Fattori3.   

Abstract

PURPOSE: Radiation-induced optic neuropathy (RION) is a rare, yet severe complication following radiation therapy for brain, head and neck, or skull-base tumors. Although several risk factors, such as age, metabolic syndrome, and delivered dose, have been identified, we aimed at expanding the understanding of the mechanisms of interplay regarding dosimetry and patient variables leading to the onset of RION with a focus on proton therapy. METHODS AND MATERIALS: In this retrospective study, we have investigated proton-specific risk factors by comparing common phenomenological normal tissue complication probability models with a multivariate analysis that includes clinical features on a cohort of patients with skull-base and head and neck cancer treated with pencil beam scanning.
RESULTS: Although predictive power of the Lyman-Kutcher-Burman and Poisson models was limited for this data set, the addition of clinical variables such as age, tumor involvement, hypertension, or sex remarkably increased model performance.
CONCLUSIONS: Based on our assessment, the maximum dose in the optical apparatus is confirmed the most intuitive risk factor. However, above a certain dose threshold, clinical patient characteristics are the deciding factors for the onset of RION. We observed a tendency toward a volume effect that, if confirmed, would imply a benefit for high precision radiation therapy techniques such as proton therapy for the treatment of patients with high clinical risk for RION.
Copyright © 2021 Elsevier Inc. All rights reserved.

Entities:  

Year:  2021        PMID: 33421557     DOI: 10.1016/j.ijrobp.2020.12.052

Source DB:  PubMed          Journal:  Int J Radiat Oncol Biol Phys        ISSN: 0360-3016            Impact factor:   7.038


  2 in total

1.  A Patient Selection Approach Based on NTCP Models and DVH Parameters for Definitive Proton Therapy in Locally Advanced Sinonasal Cancer Patients.

Authors:  Alfredo Mirandola; Stefania Russo; Maria Bonora; Barbara Vischioni; Anna Maria Camarda; Rossana Ingargiola; Silvia Molinelli; Sara Ronchi; Eleonora Rossi; Alessandro Vai; Nicola Alessandro Iacovelli; Juliette Thariat; Mario Ciocca; Ester Orlandi
Journal:  Cancers (Basel)       Date:  2022-05-28       Impact factor: 6.575

2.  Quantitative study of the changes in brain white matter before and after radiotherapy by applying multi-sequence MR radiomics.

Authors:  Mingming Chen; Lizhen Wang; Guanzhong Gong; Yong Yin; Pengcheng Wang
Journal:  BMC Med Imaging       Date:  2022-05-13       Impact factor: 2.795

  2 in total

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