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Lung Texture in Serial Thoracic Computed Tomography Scans: Correlation of Radiomics-based Features With Radiation Therapy Dose and Radiation Pneumonitis Development
- Publication Year :
- 2015
-
Abstract
- Purpose To assess the relationship between radiation dose and change in a set of mathematical intensity- and texture-based features and to determine the ability of texture analysis to identify patients who develop radiation pneumonitis (RP). Methods and Materials A total of 106 patients who received radiation therapy (RT) for esophageal cancer were retrospectively identified under institutional review board approval. For each patient, diagnostic computed tomography (CT) scans were acquired before (0-168 days) and after (5-120 days) RT, and a treatment planning CT scan with an associated dose map was obtained. 32- × 32-pixel regions of interest (ROIs) were randomly identified in the lungs of each pre-RT scan. ROIs were subsequently mapped to the post-RT scan and the planning scan dose map by using deformable image registration. The changes in 20 feature values (ΔFV) between pre- and post-RT scan ROIs were calculated. Regression modeling and analysis of variance were used to test the relationships between ΔFV, mean ROI dose, and development of grade ≥2 RP. Area under the receiver operating characteristic curve (AUC) was calculated to determine each feature's ability to distinguish between patients with and those without RP. A classifier was constructed to determine whether 2- or 3-feature combinations could improve RP distinction. Results For all 20 features, a significant ΔFV was observed with increasing radiation dose. Twelve features changed significantly for patients with RP. Individual texture features could discriminate between patients with and those without RP with moderate performance (AUCs from 0.49 to 0.78). Using multiple features in a classifier, AUC increased significantly (0.59-0.84). Conclusions A relationship between dose and change in a set of image-based features was observed. For 12 features, ΔFV was significantly related to RP development. This study demonstrated the ability of radiomics to provide a quantitative, individualized measurement of patient lung tissue reaction to RT and assess RP development.
- Subjects :
- Adult
Male
Cancer Research
medicine.medical_specialty
Esophageal Neoplasms
medicine.medical_treatment
Image registration
Article
Correlation
Text mining
medicine
Humans
Radiology, Nuclear Medicine and imaging
Radiation treatment planning
Lung
Pneumonitis
Aged
Retrospective Studies
Aged, 80 and over
Analysis of Variance
Radiation
Receiver operating characteristic
business.industry
Radiotherapy Planning, Computer-Assisted
Radiotherapy Dosage
Middle Aged
medicine.disease
Radiation therapy
Radiation Pneumonitis
medicine.anatomical_structure
Oncology
ROC Curve
Area Under Curve
Regression Analysis
Radiology
business
Nuclear medicine
Tomography, X-Ray Computed
Subjects
Details
- Language :
- English
- Database :
- OpenAIRE
- Accession number :
- edsair.doi.dedup.....19c7d55c82f68ba4138af97d8d4bfce8