2022
DOI: 10.1016/j.clon.2021.12.015
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Normal Tissue Complication Probability Modelling for Toxicity Prediction and Patient Selection in Proton Beam Therapy to the Central Nervous System: A Literature Review

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Cited by 17 publications
(8 citation statements)
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“…Secondly, some studies lacked complete data, such as predictive confidence intervals, which further impacted our analysis. Just as per any other site, CNS NTCP literature suffers the same limitations, and no AI has been successfully implemented as yet [ 28 ]. Overall, while our study made progress in predicting normal tissue complications after radiotherapy for head and neck cancer, further research and validation are needed.…”
Section: Discussionmentioning
confidence: 99%
“…Secondly, some studies lacked complete data, such as predictive confidence intervals, which further impacted our analysis. Just as per any other site, CNS NTCP literature suffers the same limitations, and no AI has been successfully implemented as yet [ 28 ]. Overall, while our study made progress in predicting normal tissue complications after radiotherapy for head and neck cancer, further research and validation are needed.…”
Section: Discussionmentioning
confidence: 99%
“…Due to the lack of robust prediction models of photons and protons for this toxicity, it is impossible to predict the risk of hearing loss based on the patient's disease and treatment characteristics. The Normal Tissue Complication Probability (NTCP) model has been employed in previous studies to guide clinical judgment of proton beam therapy (PBT) [ 48 ]. In S. Gaito et al’s study, the risk reduction of secondary tumors with PBT was estimated to be considerable compared with conventional photon radiotherapy through modeling studies.…”
Section: Discussionmentioning
confidence: 99%
“…In S. Gaito et al’s study, the risk reduction of secondary tumors with PBT was estimated to be considerable compared with conventional photon radiotherapy through modeling studies. The clinical benefit of PBT primarily depends on the location of the tumor relative to the organ at risk and on the prescribed dose [ 48 ]. A multicenter study evaluating proton therapy and volumetric modulated arc therapy (VMAT) by establishing an NTCP model demonstrated that the reduction of NTCP in the population had a significant impact on auditory toxicity (VMAT: 8.0%; Proton: 3.3%).…”
Section: Discussionmentioning
confidence: 99%
“…A reduction of grade 3 toxicity is clinically relevant and important in justifying the higher cost of proton therapy. In recent years, specific NTCP have been modeling for patient selection for proton therapy [ 22 , 24 ]. Schröder et al develop a NTCP model combining clinical and dosimetric factors focused on grade ≥ 2 radionecrosis in a large cohort of patients receiving proton, the best fit was found for the model containing age, prescription dose, D1cc (Gy), and hypertensive blood pressure as risk factors [ 25 ].…”
Section: Discussionmentioning
confidence: 99%