Contrast-Enhanced CT-Based Radiomics for the Differentiation of Nodular Goiter from Papillary Thyroid Carcinoma in Thyroid Nodules
Zhenyu Li, Haiming Zhang, Wenying Chen, Hengguo Li Medical Imaging Center, The First Affiliated Hospital of Jinan University, Guangzhou, 510630, People’s Republic of ChinaCorrespondence: Hengguo Li, Email lhgjnu@263.netBackground: Papillary thyroid carcinoma (PTC) and nodular goiter (NG) represent t...
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| Format: | Article |
| Language: | English |
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Dove Medical Press
2022-03-01
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| Series: | Cancer Management and Research |
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| Online Access: | https://www.dovepress.com/contrast-enhanced-ct-based-radiomics-for-the-differentiation-of-nodula-peer-reviewed-fulltext-article-CMAR |
| _version_ | 1818338967282515968 |
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| author | Li Z Zhang H Chen W Li H |
| author_facet | Li Z Zhang H Chen W Li H |
| author_sort | Li Z |
| collection | DOAJ |
| description | Zhenyu Li, Haiming Zhang, Wenying Chen, Hengguo Li Medical Imaging Center, The First Affiliated Hospital of Jinan University, Guangzhou, 510630, People’s Republic of ChinaCorrespondence: Hengguo Li, Email lhgjnu@263.netBackground: Papillary thyroid carcinoma (PTC) and nodular goiter (NG) represent the most commonly malignant and benign diseases of thyroid nodules and are often confused in diagnosis. CT examination has a certain diagnostic value for the diagnosis of suspected malignant thyroid nodules. The application of machine learning to radiomics features provides a new diagnostic approach, which has been widely used in ultrasound examination of the thyroid, but there are few literatures on CT examination.Purpose: To explore the efficacy of a diagnostic model aided by machine learning for preoperative differentiation of nodular goiter and papillary thyroid carcinoma thyroid nodules on the basis of 3D arterial-phase contrast-enhanced computed tomography (CECT) features.Materials and Methods: We collected the data of 193 NG and 214 PTC thyroid nodules from 407 patients in CT examinations. Together with the pathologist findings and radiology diagnosis, we built a radiomics model using the 1218 features extracted from the arterial phase of CECT images. By comparing the diagnostic performance of the radiomics model with that of the clinical diagnosis, we assessed the performance of the radiomics model.Results: The radiomics model was developed based on multivariable logistic regression with the optimal 12 radiomics features after feature dimension reduction. The radiomics model performed well on the classification accuracy of the PTC and NG thyroid nodules in the training group and validation group.Conclusion: The radiomics model based on the 3D arterial phase of CECT features performed better than the group of experienced radiologists in differentiating NG and PTC thyroid nodules.Keywords: radiomics, computed tomography, CT, nodular goiter, papillary thyroid carcinoma, differential diagnosis |
| first_indexed | 2024-12-13T15:19:31Z |
| format | Article |
| id | doaj.art-c173edfe247145f1966f63a0ed07993c |
| institution | Directory Open Access Journal |
| issn | 1179-1322 |
| language | English |
| last_indexed | 2024-12-13T15:19:31Z |
| publishDate | 2022-03-01 |
| publisher | Dove Medical Press |
| record_format | Article |
| series | Cancer Management and Research |
| spelling | doaj.art-c173edfe247145f1966f63a0ed07993c2022-12-21T23:40:36ZengDove Medical PressCancer Management and Research1179-13222022-03-01Volume 141131114073678Contrast-Enhanced CT-Based Radiomics for the Differentiation of Nodular Goiter from Papillary Thyroid Carcinoma in Thyroid NodulesLi ZZhang HChen WLi HZhenyu Li, Haiming Zhang, Wenying Chen, Hengguo Li Medical Imaging Center, The First Affiliated Hospital of Jinan University, Guangzhou, 510630, People’s Republic of ChinaCorrespondence: Hengguo Li, Email lhgjnu@263.netBackground: Papillary thyroid carcinoma (PTC) and nodular goiter (NG) represent the most commonly malignant and benign diseases of thyroid nodules and are often confused in diagnosis. CT examination has a certain diagnostic value for the diagnosis of suspected malignant thyroid nodules. The application of machine learning to radiomics features provides a new diagnostic approach, which has been widely used in ultrasound examination of the thyroid, but there are few literatures on CT examination.Purpose: To explore the efficacy of a diagnostic model aided by machine learning for preoperative differentiation of nodular goiter and papillary thyroid carcinoma thyroid nodules on the basis of 3D arterial-phase contrast-enhanced computed tomography (CECT) features.Materials and Methods: We collected the data of 193 NG and 214 PTC thyroid nodules from 407 patients in CT examinations. Together with the pathologist findings and radiology diagnosis, we built a radiomics model using the 1218 features extracted from the arterial phase of CECT images. By comparing the diagnostic performance of the radiomics model with that of the clinical diagnosis, we assessed the performance of the radiomics model.Results: The radiomics model was developed based on multivariable logistic regression with the optimal 12 radiomics features after feature dimension reduction. The radiomics model performed well on the classification accuracy of the PTC and NG thyroid nodules in the training group and validation group.Conclusion: The radiomics model based on the 3D arterial phase of CECT features performed better than the group of experienced radiologists in differentiating NG and PTC thyroid nodules.Keywords: radiomics, computed tomography, CT, nodular goiter, papillary thyroid carcinoma, differential diagnosishttps://www.dovepress.com/contrast-enhanced-ct-based-radiomics-for-the-differentiation-of-nodula-peer-reviewed-fulltext-article-CMARradiomicscomputed tomography (ct)nodular goiterpapillary thyroid carcinomadifferential diagnosis |
| spellingShingle | Li Z Zhang H Chen W Li H Contrast-Enhanced CT-Based Radiomics for the Differentiation of Nodular Goiter from Papillary Thyroid Carcinoma in Thyroid Nodules Cancer Management and Research radiomics computed tomography (ct) nodular goiter papillary thyroid carcinoma differential diagnosis |
| title | Contrast-Enhanced CT-Based Radiomics for the Differentiation of Nodular Goiter from Papillary Thyroid Carcinoma in Thyroid Nodules |
| title_full | Contrast-Enhanced CT-Based Radiomics for the Differentiation of Nodular Goiter from Papillary Thyroid Carcinoma in Thyroid Nodules |
| title_fullStr | Contrast-Enhanced CT-Based Radiomics for the Differentiation of Nodular Goiter from Papillary Thyroid Carcinoma in Thyroid Nodules |
| title_full_unstemmed | Contrast-Enhanced CT-Based Radiomics for the Differentiation of Nodular Goiter from Papillary Thyroid Carcinoma in Thyroid Nodules |
| title_short | Contrast-Enhanced CT-Based Radiomics for the Differentiation of Nodular Goiter from Papillary Thyroid Carcinoma in Thyroid Nodules |
| title_sort | contrast enhanced ct based radiomics for the differentiation of nodular goiter from papillary thyroid carcinoma in thyroid nodules |
| topic | radiomics computed tomography (ct) nodular goiter papillary thyroid carcinoma differential diagnosis |
| url | https://www.dovepress.com/contrast-enhanced-ct-based-radiomics-for-the-differentiation-of-nodula-peer-reviewed-fulltext-article-CMAR |
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