Maria Thor , Aditya Apte , Milan Grkovski , Charles B. Simone II , Daphna Y. Gelblum , Masoud Zarepisheh , Puneeth Iyengar , Abraham J. Wu , Jacob Y. Shin , Tafadzwa Chaunzwa , Jennifer Ma , David Billing , Mark Dunphy , Jamie E. Chaft , Daniel R. Gomez , Joseph O. Deasy , Narek Shaverdian
{"title":"Prospective validation of a pretreatment 18F-FDG PET/CT and mean lung dose model for early radiation pneumonitis","authors":"Maria Thor , Aditya Apte , Milan Grkovski , Charles B. Simone II , Daphna Y. Gelblum , Masoud Zarepisheh , Puneeth Iyengar , Abraham J. Wu , Jacob Y. Shin , Tafadzwa Chaunzwa , Jennifer Ma , David Billing , Mark Dunphy , Jamie E. Chaft , Daniel R. Gomez , Joseph O. Deasy , Narek Shaverdian","doi":"10.1016/j.phro.2025.100844","DOIUrl":null,"url":null,"abstract":"<div><h3>Background and purpose</h3><div>Early onset radiation pneumonitis (RP<sub>Early</sub>) after concurrent chemoradiotherapy (cCRT) can lead to consolidation immunotherapy (IO) discontinuation, and poor survival in locally advanced non-small cell lung cancer (LA-NSCLC). This work assessed the external validity of a previously published RP<sub>Early</sub> risk model.</div></div><div><h3>Material and methods</h3><div>The RP<sub>Early</sub> risk model utilizes pretreatment 18F-FDG PET/CT imaging of the normal lungs and the mean lung dose (MLD). The 90th percentile of the standardized uptake value (SUV<sub>P90</sub>) and the MLD model parameters from the previous derivation cohort (N = 160) were applied in the independent cohort (50 consecutive LA-NSCLC patients treated with cCRT and IO) where model performance was evaluated (area under the receiver-operating characteristic curve (AUC), <em>p-values</em>, and the Hosmer-Lemeshow test (<em>pHL</em>)).</div></div><div><h3>Results</h3><div>Seven patients (14 %) developed RP<sub>Early</sub>. Model performance of the previously developed SUV<sub>P90</sub> and MLD model improved with re-fitting (AUC = 0.76 <em>vs.</em> 0.72; p = 0.01 <em>vs.</em> 0.10; pHL = 0.66 <em>vs.</em> 0.94). Above a clinically desirable 10 % predicted RP<sub>Early</sub>, after refitting model coefficients in the combined derivation and validation cohorts (N = 210), the MLD was 13 ± 2.2 EQD2<sub>3</sub> Gy (SUV<sub>P90</sub> = 1.2 ± 0.3) above the RP<sub>Early</sub> risk threshold <em>vs.</em> 8.5 ± 2.6 EQD2<sub>3</sub> Gy (0.9 ± 0.2) below the threshold. For an SUV<sub>P90</sub> of 1.1 and an MLD of 11 Gy EQD2<sub>3</sub> Gy, 25/27 patients developing RP<sub>Early</sub> were captured.</div></div><div><h3>Conclusion</h3><div>The previously developed SUV<sub>P90</sub> and MLD-based risk model for RP<sub>Early</sub> demonstrated a high probability to correctly predict RP<sub>Early</sub> in the independent cohort. This now validated RP<sub>Early</sub> risk model with derived high-risk indications could enable personalized thoracic RT planning to reduce the risk of RP<sub>Early</sub> and of discontinuing life-prolonging IO post-cCRT.</div></div>","PeriodicalId":36850,"journal":{"name":"Physics and Imaging in Radiation Oncology","volume":"36 ","pages":"Article 100844"},"PeriodicalIF":3.3000,"publicationDate":"2025-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Physics and Imaging in Radiation Oncology","FirstCategoryId":"1085","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S2405631625001496","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"ONCOLOGY","Score":null,"Total":0}
引用次数: 0
Abstract
Background and purpose
Early onset radiation pneumonitis (RPEarly) after concurrent chemoradiotherapy (cCRT) can lead to consolidation immunotherapy (IO) discontinuation, and poor survival in locally advanced non-small cell lung cancer (LA-NSCLC). This work assessed the external validity of a previously published RPEarly risk model.
Material and methods
The RPEarly risk model utilizes pretreatment 18F-FDG PET/CT imaging of the normal lungs and the mean lung dose (MLD). The 90th percentile of the standardized uptake value (SUVP90) and the MLD model parameters from the previous derivation cohort (N = 160) were applied in the independent cohort (50 consecutive LA-NSCLC patients treated with cCRT and IO) where model performance was evaluated (area under the receiver-operating characteristic curve (AUC), p-values, and the Hosmer-Lemeshow test (pHL)).
Results
Seven patients (14 %) developed RPEarly. Model performance of the previously developed SUVP90 and MLD model improved with re-fitting (AUC = 0.76 vs. 0.72; p = 0.01 vs. 0.10; pHL = 0.66 vs. 0.94). Above a clinically desirable 10 % predicted RPEarly, after refitting model coefficients in the combined derivation and validation cohorts (N = 210), the MLD was 13 ± 2.2 EQD23 Gy (SUVP90 = 1.2 ± 0.3) above the RPEarly risk threshold vs. 8.5 ± 2.6 EQD23 Gy (0.9 ± 0.2) below the threshold. For an SUVP90 of 1.1 and an MLD of 11 Gy EQD23 Gy, 25/27 patients developing RPEarly were captured.
Conclusion
The previously developed SUVP90 and MLD-based risk model for RPEarly demonstrated a high probability to correctly predict RPEarly in the independent cohort. This now validated RPEarly risk model with derived high-risk indications could enable personalized thoracic RT planning to reduce the risk of RPEarly and of discontinuing life-prolonging IO post-cCRT.