Prospective assessment of dosimetric/physiologic-based models for predicting radiation pneumonitis

dc.authoridBorst, Gerben/0000-0002-2102-2722
dc.authoridZhou, Su-Min/0000-0002-7517-9653
dc.authorwosidKocak, Zafer/AEG-7828-2022
dc.authorwosidzeng, jing/JDW-4350-2023
dc.contributor.authorKocak, Zafer
dc.contributor.authorBorst, Gerben R.
dc.contributor.authorZeng, Jing
dc.contributor.authorZhou, Sumin
dc.contributor.authorHollis, Donna R.
dc.contributor.authorZhang, Junan
dc.contributor.authorEvans, Elizabeth S.
dc.date.accessioned2024-06-12T11:13:21Z
dc.date.available2024-06-12T11:13:21Z
dc.date.issued2007
dc.departmentTrakya Üniversitesien_US
dc.description47th Annual Meeting of the American-Society-for-Therapeutic-Radiology-and-Oncology -- OCT 16-20, 2005 -- Denver, COen_US
dc.description.abstractPurpose: Clinical and 3D dosimetric parameters are associated with symptomatic radiation pneumonitis rates in retrospective studies. Such parameters include: mean lung dose (MLD), radiation (RT) dose to perfused lung (via SPECT), and pre-RT lung function. Based on prior publications, we defined pre-RT criteria hypothesized to be predictive for later development of pneumonitis. We herein prospectively test the predictive abilities of these dosimetric/functional parameters on 2 cohorts of patients from Duke and The Netherlands Cancer Institute (NKI). Methods and Materials: For the Duke cohort, 55 eligible patients treated between 1999 and 2005 on a prospective IRB-approved study to monitor RT-induced lung injury were analyzed. A similar group of patients treated at the NKI between 1996 and 2002 were identified. Patients believed to be at high and low risk for pneumonitis were defined based on: (1) MLD; (2) OpRP (sum of predicted perfusion reduction based on regional dose-response curve); and (3) pre-RT DLCO. All doses reflected tissue density heterogeneity. The rates of grade >= 2 pneumonitis in the presumed high and low risk groups were compared using Fisher's exact test. Results: In the Duke group, pneumonitis rates in patients prospectively deemed to be at high vs. low risk are 7 of 20 and 9 of 35, respectively; p = 0.33 one-tailed Fisher's. Similarly, comparable rates for the NKI group are 4 of 21 and 6 of 44, respectively, p = 0.41 one-tailed Fisher's. Conclusion: The prospective model appears unable to accurately segregate patients into high vs. low risk groups. However, considered retrospectively, these data are consistent with prior studies suggesting that dosimetric (e.g., MLD) and functional (e.g., PFTs or SPECT) parameters are predictive for RT-induced pneumonitis. Additional work is needed to better identify, and prospectively assess, predictors of RT-induced lung injury. (c) 2007 Elsevier Inc.en_US
dc.description.sponsorshipAmer Soc Therapeut Radiol & Oncolen_US
dc.description.sponsorshipNCI NIH HHS [R29 CA069579, R01 CA69579, R01 CA069579] Funding Source: Medlineen_US
dc.identifier.doi10.1016/j.ijrobp.2006.09.031
dc.identifier.endpage186en_US
dc.identifier.issn0360-3016
dc.identifier.issn1879-355X
dc.identifier.issue1en_US
dc.identifier.pmid17189069en_US
dc.identifier.scopus2-s2.0-33845611897en_US
dc.identifier.scopusqualityQ1en_US
dc.identifier.startpage178en_US
dc.identifier.urihttps://doi.org/10.1016/j.ijrobp.2006.09.031
dc.identifier.urihttps://hdl.handle.net/20.500.14551/23506
dc.identifier.volume67en_US
dc.identifier.wosWOS:000243292000026en_US
dc.identifier.wosqualityQ1en_US
dc.indekslendigikaynakWeb of Scienceen_US
dc.indekslendigikaynakScopusen_US
dc.indekslendigikaynakPubMeden_US
dc.language.isoenen_US
dc.publisherElsevier Science Incen_US
dc.relation.ispartofInternational Journal Of Radiation Oncology Biology Physicsen_US
dc.relation.publicationcategoryKonferans Öğesi - Uluslararası - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/openAccessen_US
dc.subjectRadiation Pneumonitisen_US
dc.subjectPredictive Modelsen_US
dc.subjectDose-Volume Histogramen_US
dc.subjectFunctionen_US
dc.subjectLung Canceren_US
dc.subjectDose-Volume Histogramen_US
dc.subjectCell Lung-Canceren_US
dc.subjectThoracic Irradiationen_US
dc.subjectRadiotherapyen_US
dc.subjectInjuryen_US
dc.subjectRisken_US
dc.subjectChemoradiationen_US
dc.subjectParametersen_US
dc.subjectSpecten_US
dc.titleProspective assessment of dosimetric/physiologic-based models for predicting radiation pneumonitisen_US
dc.typeConference Objecten_US

Dosyalar