Evidence map›Paper›PMID 40207755›Full record

ArticleCurrent medical imaging2025

Radiation-Induced Lung Injury CT Features: Early Non-Small Cell Lung Cancer SBRT Prognosticators.

Fang Wang, Lingling Wang, Hong Yang, Yujin Xu, Haitao Jiang

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Article in Current medical imaging, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

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4 · The record

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5 · Who and what money

Authors and funding

5 authors.

Fang WangDepartment of Radiology, Zhejiang Cancer Hospital, Hangzhou, Zhejiang, China.
Lingling WangWenzhou Medical University, Department of Radiology, Wenzhou, China.
Hong YangDepartment of Radiology, Zhejiang Cancer Hospital, Hangzhou, Zhejiang, China.
Yujin XuDepartment of Radiation Oncology, Zhejiang Cancer Hospital, Hangzhou, Zhejiang, China.
Haitao JiangDepartment of Radiology, Zhejiang Cancer Hospital, Hangzhou, Zhejiang, China.ORCID 0000-0002-2006-6491

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveThis study aimed to determine the relationship between Radiation-Induced Lung Injury (RILI) and the clinical outcome of Non-Small Cell Lung Cancer (NSCLC) following Stereotactic Ablative Radiotherapy (SABR).

methodsClinical data and follow-up CT scanning of 101 patients with early NSCLC who received SABR treatment from January 2012 to December 2018 were retrospectively collected, and the Progression Free Survival (PFS) was calculated. CT features of peritumoral RILI were observed by 3 radiologists, each with 10 to 15 years of experience, based on consensus among 3 radiologists and divided into 3 types. Type 1: Diffuse consolidation surrounding the tumor, including the tumor boundary. Type 2: Ground Glass Opacities (GGOs) covering more than 180 degrees around the tumor. Type 3: GGOs surrounding the tumor but covering less than 180 degrees. Log-rank test was used to analyze the correlation between the classification of radiation-induced lung injury CT findings and PFS. Independent predictors of PFS rate were analyzed by COX multivariate regression.

resultsThe 5-year PFS rates based on RILI types observed at 6-8 months post-SABR were: Type 1 = 69.5%, Type 2 = 50.9%, and Type 3 = 36.1%. A statistically significant difference was observed among the three RILI types (p=0.025). COX multivariate regression analysis showed that RILI were independent factors influencing PFS (at 6-8 months follow-up after radiotherapy (p=0.041).

conclusionPatients with more extensive and denser RILI tend to have a longer PFS. Data from our cohort study indicate that the 6- 8 months post-SABR period represents the optimal follow-up window, as evidenced by significant progression-free survival rate dynamics during this interval (HR = 1.5, 95% CI 1.0-2.2, p < 0.05).

Indexed as

Carcinoma, Non-Small-Cell LungLung InjuryLung NeoplasmsRadiation InjuriesRadiosurgeryTomography, X-Ray ComputedAdultAgedAged, 80 and overFemaleHumansMaleMiddle AgedPrognosisRetrospective StudiesGround Glass OpacitiesNon-small cell lung cancerProgression free survival.Radiation-induced lung injuriesStereotactic ablative radiotherapy

Identifiers

PMID40207755
PMCPMC13107384

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.