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Can peritumoral radiomics increase the efficiency of the prediction for lymph node metastasis in clinical stage T1 lung adenocarcinoma on CT?
- Source :
- European radiology. 29(11)
- Publication Year :
- 2018
-
Abstract
- To evaluate the efficiency of radiomics model on CT images of intratumoral and peritumoral lung parenchyma for preoperative prediction of lymph node (LN) metastasis in clinical stage T1 peripheral lung adenocarcinoma patients. Three hundred sixty-six peripheral lung adenocarcinoma patients with clinical stage T1 were evaluated using five CT scanners. For each patient, two volumes of interest (VOIs) on CT were defined as the gross tumor volume (GTV) and the peritumoral volume (PTV, 1.5 cm around the tumor). One thousand nine hundred forty-six radiomic features were obtained from each VOI, and then refined for reproducibility and redundancy. The refined features were investigated for usefulness in building radiomic signatures by mRMR feature ranking method and LASSO classifier. Multivariable logistic regression analysis was used to develop a radiomic nomogram incorporating the radiomic signature and clinical parameters. The prediction performance was evaluated on the validation cohort. The radiomic signatures using the features of GTV and PTV showed a good ability in predicting LN metastasis with an AUC of 0.829 (95% CI, 0.745–0.913) and 0.825 (95% CI, 0.733–0.918), respectively. By incorporating the features of GTV and PTV, the AUC of radiomic signature increased to 0.843 (95% CI, 0.770–0.916). The AUC of radiomic nomogram was 0.869 (95% CI, 0.800–0.938). Radiomic signatures of GTV and PTV both had a good prediction ability in the prediction of LN metastasis, and there is no significant difference of AUC between the two groups. The proposed nomogram can be conveniently used to facilitate the preoperative prediction of LN metastasis in T1 peripheral lung adenocarcinomas. • Radiomics from peritumoral lung parenchyma increase the efficiency of the prediction for lymph node metastasis in clinical stage T1 lung adenocarcinoma on CT. • A radiomic nomogram was developed and validated to predict LN metastasis. • Different scan parameters on CT showed that radiomics signature had good predictive performance.
- Subjects :
- Male
medicine.medical_specialty
Lung Neoplasms
Adenocarcinoma of Lung
Lymph node metastasis
030218 nuclear medicine & medical imaging
Metastasis
03 medical and health sciences
0302 clinical medicine
Radiomics
Predictive Value of Tests
medicine
Humans
Radiology, Nuclear Medicine and imaging
Lymph node
Lung
Neuroradiology
Neoplasm Staging
Retrospective Studies
business.industry
Reproducibility of Results
General Medicine
Nomogram
Middle Aged
medicine.disease
Magnetic Resonance Imaging
medicine.anatomical_structure
030220 oncology & carcinogenesis
Lymphatic Metastasis
Adenocarcinoma
Female
Radiology
Lymph Nodes
business
Tomography, X-Ray Computed
Subjects
Details
- ISSN :
- 14321084
- Volume :
- 29
- Issue :
- 11
- Database :
- OpenAIRE
- Journal :
- European radiology
- Accession number :
- edsair.doi.dedup.....ba3ea45fafd1a75006837eac84913a95