Assessment of Radiation-Induced Optic Neuropathy in a Multi-Institutional Cohort of Chordoma and Chondrosarcoma Patients Treated with Proton Therapy
| Autor: | Köthe, Andreas, Feuvret, Loïc, Weber, Damien Charles, Safai, Sairos, Lomax, Antony John, Fattori, Giovanni |
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| Přispěvatelé: | Paul Scherrer Institute (PSI), Eidgenössische Technische Hochschule - Swiss Federal Institute of Technology [Zürich] (ETH Zürich), Service d'Oncologie Radiothérapie [CHU Pitié Salpétrière], CHU Pitié-Salpêtrière [AP-HP], Sorbonne Université (SU)-Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP)-Sorbonne Université (SU)-Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP), Institut Curie [Paris], University hospital of Zurich [Zurich], Bern University Hospital [Berne] (Inselspital) |
| Jazyk: | angličtina |
| Rok vydání: | 2021 |
| Předmět: | |
| Zdroj: | Cancers, 13 (21) Cancers Cancers, MDPI, 2021, 13 (21), pp.5327. ⟨10.3390/cancers13215327⟩ Köthe, Andreas; Feuvret, Loïc; Weber, Damien Charles; Safai, Sairos; Lomax, Antony John; Fattori, Giovanni (2021). Assessment of Radiation-Induced Optic Neuropathy in a Multi-Institutional Cohort of Chordoma and Chondrosarcoma Patients Treated with Proton Therapy. Cancers, 13(21) MDPI AG 10.3390/cancers13215327 Cancers, Vol 13, Iss 5327, p 5327 (2021) Volume 13 Issue 21 |
| ISSN: | 2072-6694 |
| Popis: | Radiation-induced optic neuropathy (RION) is a rare side effect following radiation therapy involving the optic structures whose onset is, due to the low amount of available data, challenging to predict. We have analyzed a multi-institutional cohort including 289 skull-base cancer patients treated with proton therapy who all received > 45 GyRBE to the optic apparatus. An overall incidence rate of 4.2% (12) was observed, with chordoma patients being at higher risk (5.8%) than chondrosarcoma patients (3.2%). Older age and arterial hypertension, tumor involvement, and repeated surgeries (> 3) were found to be associated with RION. Based on bootstrapping and cross-validation, a NTCP model based on age and hypertension was determined to be the most robust, showing good classification ability (AUC-ROC 0.77) and calibration on our dataset. We suggest the application of this model with a threshold of 6% to segment patients into low and high-risk groups before treatment planning. However, further data and external validation are warranted before clinical application. |
| Databáze: | OpenAIRE |
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