An Exploratory Study on the Stable Radiomics Features of Metastatic Small Pulmonary Nodules in Colorectal Cancer Patients
Autor: | Jiongqiang Huang, Yilian Shen, Biaoda Li, Caiyin Liu, Guangqiu Li, Qingsi Zeng, Yuting Liao, Chen Huai, Renli Cen, Tingfan Wu, Qiuhua Meng |
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Rok vydání: | 2021 |
Předmět: |
Cancer Research
medicine.medical_specialty Colorectal cancer colorectal cancer small pulmonary nodules Computed tomography stable features 030218 nuclear medicine & medical imaging Metastasis 03 medical and health sciences 0302 clinical medicine Maximum diameter Radiomics medicine metastases RC254-282 Original Research Lung medicine.diagnostic_test business.industry Neoplasms. Tumors. Oncology. Including cancer and carcinogens medicine.disease Training cohort medicine.anatomical_structure Oncology radiomics 030220 oncology & carcinogenesis Cohort Radiology business |
Zdroj: | Frontiers in Oncology Frontiers in Oncology, Vol 11 (2021) |
ISSN: | 2234-943X |
Popis: | ObjectivesTo identify the relatively invariable radiomics features as essential characteristics during the growth process of metastatic pulmonary nodules with a diameter of 1 cm or smaller from colorectal cancer (CRC).MethodsThree hundred and twenty lung nodules were enrolled in this study (200 CRC metastatic nodules in the training cohort, 60 benign nodules in the verification cohort 1, 60 CRC metastatic nodules in the verification cohort 2). All the nodules were divided into four groups according to the maximum diameter: 0 to 0.25 cm, 0.26 to 0.50 cm, 0.51 to 0.75 cm, 0.76 to 1.0 cm. These pulmonary nodules were manually outlined in computed tomography (CT) images with ITK-SNAP software, and 1724 radiomics features were extracted. Kruskal-Wallis test was performed to compare the four different levels of nodules. Cross-validation was used to verify the results. The Spearman rank correlation coefficient is calculated to evaluate the correlation between features.ResultsIn training cohort, 90 features remained stable during the growth process of metastasis nodules. In verification cohort 1, 293 features remained stable during the growth process of benign nodules. In verification cohort 2, 118 features remained stable during the growth process of metastasis nodules. It is concluded that 20 features remained stable in metastatic nodules (training cohort and verification cohort 2) but not stable in benign nodules (verification cohort 1). Through the cross-validation (n=100), 11 features remained stable more than 90 times.ConclusionsThis study suggests that a small number of radiomics features from CRC metastatic pulmonary nodules remain relatively stable from small to large, and they do not remain stable in benign nodules. These stable features may reflect the essential characteristics of metastatic nodules and become a valuable point for identifying metastatic pulmonary nodules from benign nodules. |
Databáze: | OpenAIRE |
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