A dosiomics analysis based on linear energy transfer and biological dose maps to predict local recurrence in sacral chordomas after carbon-ion radiotherapy
Carbon Ion Radiotherapy (CIRT) is one of the most promising therapeutic options to reduce Local Recurrence (LR) in Sacral Chordomas (SC). The aim of this work is to compare the performances of survival models fed with dosiomics features and conventional DVH metrics extracted from relative biological...
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| Main Authors: | , , , , , , , , , , , |
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| Format: | Article (Journal) |
| Language: | English |
| Published: |
21 December 2022
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| In: |
Cancers
Year: 2023, Volume: 15, Issue: 1, Pages: 1-15 |
| ISSN: | 2072-6694 |
| DOI: | 10.3390/cancers15010033 |
| Online Access: | Verlag, lizenzpflichtig, Volltext: https://doi.org/10.3390/cancers15010033 Verlag, lizenzpflichtig, Volltext: https://www.mdpi.com/2072-6694/15/1/33 
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| Author Notes: | Letizia Morelli, Giovanni Parrella, Silvia Molinelli, Giuseppe Magro, Simone Annunziata, Andrea Mairani, Agnieszka Chalaszczyk, Maria Rosaria Fiore, Mario Ciocca, Chiara Paganelli, Ester Orlandi and Guido Baroni |
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| 245 | 1 | 2 | |a A dosiomics analysis based on linear energy transfer and biological dose maps to predict local recurrence in sacral chordomas after carbon-ion radiotherapy |c Letizia Morelli, Giovanni Parrella, Silvia Molinelli, Giuseppe Magro, Simone Annunziata, Andrea Mairani, Agnieszka Chalaszczyk, Maria Rosaria Fiore, Mario Ciocca, Chiara Paganelli, Ester Orlandi and Guido Baroni |
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| 520 | |a Carbon Ion Radiotherapy (CIRT) is one of the most promising therapeutic options to reduce Local Recurrence (LR) in Sacral Chordomas (SC). The aim of this work is to compare the performances of survival models fed with dosiomics features and conventional DVH metrics extracted from relative biological effectiveness (RBE)-weighted dose (DRBE) and dose-averaged Linear Energy Transfer (LETd) maps, towards the identification of possible prognostic factors for LR in SC patients treated with CIRT. This retrospective study included 50 patients affected by SC with a focus on patients that presented a relapse in a high-dose region. Survival models were built to predict both LR and High-Dose Local Recurrencies (HD-LR). The models were evaluated through Harrell Concordance Index (C-index) and patients were stratified into high/low-risk groups. Local Recurrence-free Kaplan-Meier curves were estimated and evaluated through log-rank tests. The model with highest performance (median(interquartile-range) C-index of 0.86 (0.22)) was built on features extracted from LETd maps, with DRBE models showing promising but weaker results (C-index of 0.83 (0.21), 0.80 (0.21)). Although the study should be extended to a wider patient population, LETd maps show potential as a prognostic factor for SC HD-LR in CIRT, and dosiomics appears to be the most promising approach against more conventional methods (e.g., DVH-based). | ||
| 650 | 4 | |a dosiomics | |
| 650 | 4 | |a LET | |
| 650 | 4 | |a local recurrence | |
| 650 | 4 | |a outcome prediction | |
| 650 | 4 | |a RBE modelling | |
| 650 | 4 | |a sacral chordoma | |
| 650 | 4 | |a survival analysis | |
| 700 | 1 | |a Parrella, Giovanni |e VerfasserIn |4 aut | |
| 700 | 1 | |a Molinelli, Silvia |e VerfasserIn |4 aut | |
| 700 | 1 | |a Magro, Giuseppe |e VerfasserIn |4 aut | |
| 700 | 1 | |a Annunziata, Simone |e VerfasserIn |4 aut | |
| 700 | 1 | |a Mairani, Andrea |e VerfasserIn |0 (DE-588)1116742179 |0 (DE-627)870669281 |0 (DE-576)478592493 |4 aut | |
| 700 | 1 | |a Chalaszczyk, Agnieszka |e VerfasserIn |4 aut | |
| 700 | 1 | |a Fiore, Maria Rosaria |e VerfasserIn |4 aut | |
| 700 | 1 | |a Ciocca, Mario |e VerfasserIn |4 aut | |
| 700 | 1 | |a Paganelli, Chiara |e VerfasserIn |4 aut | |
| 700 | 1 | |a Orlandi, Ester |e VerfasserIn |4 aut | |
| 700 | 1 | |a Baroni, Guido |e VerfasserIn |4 aut | |
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