Does time to retreatment matter? An NTCP model to predict radionecrosis after repeat SRS for recurrent brain metastases incorporating time-dependent discounted dose
Manju Sharma, Issam El Naqa, Penny K Sneed

TL;DR
This study develops NTCP models incorporating time-dependent dose discounting to predict radionecrosis risk after repeat SRS for recurrent brain metastases, highlighting the importance of tailored retreatment protocols.
Contribution
Introduces a novel NTCP model that accounts for time-dependent dose discounting in repeat SRS, improving radionecrosis risk prediction for recurrent brain metastases.
Findings
Recurrent BMs have lower dose tolerance thresholds.
Time-dependent dose discounting affects radionecrosis risk.
Models fit the data well with high statistical significance.
Abstract
Purpose: To develop and compare normal tissue complication probability (NTCP) models for recurrent brain metastases (BMs) treated with repeat single-fraction stereotactic radiosurgery (SRS), considering time-dependent discounted prior dose. Methods: We developed three NTCP models of BMs treated with GammaKnife-based SRS. The maximum dose to 0.2cc (D0.2cc) of each lesion-specific brain and one-year radionecrosis was fitted using a logistic model with equivalent-dose conversions in 2 Gy (EQD2). The M0 and M1-retreat modeled radionecrosis risk following SRS to 1029 non-recurrent lesions (patients=262) and 2nd SRS to 149 recurrent lesions (patients=87). The M1-combo model accounted for 2nd SRS and time-dependent discounted 1st SRS dose for recurrent lesions estimated by a modified Gompertzian function. Results: All three models fitted the data well (Chi-2 = 0.039-0.089 and p = 0.999-1.000).…
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Taxonomy
TopicsBrain Metastases and Treatment · Radiation Detection and Scintillator Technologies · Advanced Radiotherapy Techniques
