» Articles » PMID: 20117290

Quantifying Local Radiation-induced Lung Damage from Computed Tomography

Overview
Specialties Oncology
Radiology
Date 2010 Feb 2
PMID 20117290
Citations 11
Authors
Affiliations
Soon will be listed here.
Abstract

Purpose: Optimal implementation of new radiotherapy techniques requires accurate predictive models for normal tissue complications. Since clinically used dose distributions are nonuniform, local tissue damage needs to be measured and related to local tissue dose. In lung, radiation-induced damage results in density changes that have been measured by computed tomography (CT) imaging noninvasively, but not yet on a localized scale. Therefore, the aim of the present study was to develop a method for quantification of local radiation-induced lung tissue damage using CT.

Methods And Materials: CT images of the thorax were made 8 and 26 weeks after irradiation of 100%, 75%, 50%, and 25% lung volume of rats. Local lung tissue structure (S(L)) was quantified from local mean and local standard deviation of the CT density in Hounsfield units in 1-mm(3) subvolumes. The relation of changes in S(L) (DeltaS(L)) to histologic changes and breathing rate was investigated. Feasibility for clinical application was tested by applying the method to CT images of a patient with non-small-cell lung carcinoma and investigating the local dose-effect relationship of DeltaS(L).

Results: In rats, a clear dose-response relationship of DeltaS(L) was observed at different time points after radiation. Furthermore, DeltaS(L) correlated strongly to histologic endpoints (infiltrates and inflammatory cells) and breathing rate. In the patient, progressive local dose-dependent increases in DeltaS(L) were observed.

Conclusion: We developed a method to quantify local radiation-induced tissue damage in the lung using CT. This method can be used in the development of more accurate predictive models for normal tissue complications.

Citing Articles

Quantitative Assessment and Comparative Analysis of Longitudinal Lung CT Scans of Chest-Irradiated Nonhuman Primates.

Thakur P, Olson J, Dugan G, Bourland J, Kock N, Cline J Radiat Res. 2022; 199(1):39-47.

PMID: 36394559 PMC: 9987082. DOI: 10.1667/RADE-21-00225.1.


Carbon Monoxide Diffusing Capacity (DL) Correlates with CT Morphology after Chemo-Radio-Immunotherapy for Non-Small Cell Lung Cancer Stage III.

Stana M, Grambozov B, Gaisberger C, Karner J, Ruznic E, Berchtold J Diagnostics (Basel). 2022; 12(5).

PMID: 35626183 PMC: 9139430. DOI: 10.3390/diagnostics12051027.


Quantitative Analysis of Radiation-Associated Parenchymal Lung Change.

Chandy E, Szmul A, Stavropoulou A, Jacob J, Veiga C, Landau D Cancers (Basel). 2022; 14(4).

PMID: 35205693 PMC: 8870325. DOI: 10.3390/cancers14040946.


A novel lung-avoidance planning strategy based on 4DCT ventilation imaging and CT density characteristics for stage III non-small-cell lung cancer patients.

Feng A, Shao Y, Wang H, Chen H, Gu H, Duan Y Strahlenther Onkol. 2021; 197(12):1084-1092.

PMID: 34351454 PMC: 8604857. DOI: 10.1007/s00066-021-01821-1.


Correlation Between Lung Density Changes Under Different Dose Gradients and Radiation Pneumonitis-Based on an Analysis of Computed Tomography Scans During Esophageal Cancer Radiotherapy.

Du F, Liu H, Wang W, Zhang Y, Li J Front Oncol. 2021; 11:650764.

PMID: 34123799 PMC: 8187904. DOI: 10.3389/fonc.2021.650764.