A computed tomography-based preoperative risk scoring system to distinguish lymphoepithelioma-like gastric carcinoma from non-lymphoepithelioma-like gastric carcinoma
PurposeThe aim of this study was to develop a preoperative risk scoring model for distinguishing lymphoepithelioma-like gastric carcinoma (LELGC) from non-LELGC based on contrast-enhanced computed tomography (CT) images.MethodsClinicopathological features and CT findings of patients with LELGC and n...
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| Format: | Article |
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Frontiers Media S.A.
2022-09-01
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| Series: | Frontiers in Oncology |
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| Online Access: | https://www.frontiersin.org/articles/10.3389/fonc.2022.872814/full |
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| author | Liming Li Liming Li Wenpeng Huang Wenpeng Huang Ping Hou Weiwei Li Menyun Feng Yiyang Liu Jianbo Gao Jianbo Gao |
| author_facet | Liming Li Liming Li Wenpeng Huang Wenpeng Huang Ping Hou Weiwei Li Menyun Feng Yiyang Liu Jianbo Gao Jianbo Gao |
| author_sort | Liming Li |
| collection | DOAJ |
| description | PurposeThe aim of this study was to develop a preoperative risk scoring model for distinguishing lymphoepithelioma-like gastric carcinoma (LELGC) from non-LELGC based on contrast-enhanced computed tomography (CT) images.MethodsClinicopathological features and CT findings of patients with LELGC and non-LELGC in our hospital from January 2016 to July 2022 were retrospectively analyzed and compared. A preoperative risk stratification model and a risk scoring system were developed using logistic regression.ResultsTwenty patients with LELGC and 40 patients with non-LELGC were included in the training cohort. Significant differences were observed in Epstein–Barr virus (EBV) infection and vascular invasion between the two groups (p < 0.05). Significant differences were observed in the distribution of location, enhancement pattern, homogeneous enhancement, CT-defined lymph node status, and attenuations in the non-contrast, arterial, and venous phases (all p < 0.05). Enhancement pattern, CT-defined lymph node status, and attenuation in venous phase were independent predictors of LELGC. The optimal cutoff score of distinguishing LELGC from non-LELGC was 3.5. The area under the receiver operating characteristic curve, sensitivity, specificity, and accuracy of risk identification model in the training cohort were 0.904, 87.5%, 80.0%, and 85.0%, respectively. The area under the receiver operating characteristic curve, sensitivity, specificity, and accuracy of risk identification model in the validation cohort were 0.705 (95% CI 0.434–0.957), 75.0%, 63.6%, and 66.7%, respectively.ConclusionA preoperative risk identification model based on CT imaging data could be helpful for distinguishing LELGC from non-LELGC. |
| first_indexed | 2024-04-12T21:10:02Z |
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| institution | Directory Open Access Journal |
| issn | 2234-943X |
| language | English |
| last_indexed | 2024-04-12T21:10:02Z |
| publishDate | 2022-09-01 |
| publisher | Frontiers Media S.A. |
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| series | Frontiers in Oncology |
| spelling | doaj.art-f68ce5c52318495294636d6883b334a32022-12-22T03:16:36ZengFrontiers Media S.A.Frontiers in Oncology2234-943X2022-09-011210.3389/fonc.2022.872814872814A computed tomography-based preoperative risk scoring system to distinguish lymphoepithelioma-like gastric carcinoma from non-lymphoepithelioma-like gastric carcinomaLiming Li0Liming Li1Wenpeng Huang2Wenpeng Huang3Ping Hou4Weiwei Li5Menyun Feng6Yiyang Liu7Jianbo Gao8Jianbo Gao9Department of Radiology, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, ChinaDepartment of Gastrointestinal Tract, Henan Key Laboratory of Imaging Diagnosis and Treatment for Digestive System Tumor, Henan, ChinaDepartment of Radiology, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, ChinaDepartment of Gastrointestinal Tract, Henan Key Laboratory of Imaging Diagnosis and Treatment for Digestive System Tumor, Henan, ChinaDepartment of Radiology, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, ChinaDepartment of Radiology, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, ChinaDepartment of Radiology, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, ChinaDepartment of Radiology, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, ChinaDepartment of Radiology, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, ChinaDepartment of Gastrointestinal Tract, Henan Key Laboratory of Imaging Diagnosis and Treatment for Digestive System Tumor, Henan, ChinaPurposeThe aim of this study was to develop a preoperative risk scoring model for distinguishing lymphoepithelioma-like gastric carcinoma (LELGC) from non-LELGC based on contrast-enhanced computed tomography (CT) images.MethodsClinicopathological features and CT findings of patients with LELGC and non-LELGC in our hospital from January 2016 to July 2022 were retrospectively analyzed and compared. A preoperative risk stratification model and a risk scoring system were developed using logistic regression.ResultsTwenty patients with LELGC and 40 patients with non-LELGC were included in the training cohort. Significant differences were observed in Epstein–Barr virus (EBV) infection and vascular invasion between the two groups (p < 0.05). Significant differences were observed in the distribution of location, enhancement pattern, homogeneous enhancement, CT-defined lymph node status, and attenuations in the non-contrast, arterial, and venous phases (all p < 0.05). Enhancement pattern, CT-defined lymph node status, and attenuation in venous phase were independent predictors of LELGC. The optimal cutoff score of distinguishing LELGC from non-LELGC was 3.5. The area under the receiver operating characteristic curve, sensitivity, specificity, and accuracy of risk identification model in the training cohort were 0.904, 87.5%, 80.0%, and 85.0%, respectively. The area under the receiver operating characteristic curve, sensitivity, specificity, and accuracy of risk identification model in the validation cohort were 0.705 (95% CI 0.434–0.957), 75.0%, 63.6%, and 66.7%, respectively.ConclusionA preoperative risk identification model based on CT imaging data could be helpful for distinguishing LELGC from non-LELGC.https://www.frontiersin.org/articles/10.3389/fonc.2022.872814/fullgastric cancerlymphoepithelioma-like carcinomatomographyX-ray computedEpstein-Barr virusnomogram |
| spellingShingle | Liming Li Liming Li Wenpeng Huang Wenpeng Huang Ping Hou Weiwei Li Menyun Feng Yiyang Liu Jianbo Gao Jianbo Gao A computed tomography-based preoperative risk scoring system to distinguish lymphoepithelioma-like gastric carcinoma from non-lymphoepithelioma-like gastric carcinoma Frontiers in Oncology gastric cancer lymphoepithelioma-like carcinoma tomography X-ray computed Epstein-Barr virus nomogram |
| title | A computed tomography-based preoperative risk scoring system to distinguish lymphoepithelioma-like gastric carcinoma from non-lymphoepithelioma-like gastric carcinoma |
| title_full | A computed tomography-based preoperative risk scoring system to distinguish lymphoepithelioma-like gastric carcinoma from non-lymphoepithelioma-like gastric carcinoma |
| title_fullStr | A computed tomography-based preoperative risk scoring system to distinguish lymphoepithelioma-like gastric carcinoma from non-lymphoepithelioma-like gastric carcinoma |
| title_full_unstemmed | A computed tomography-based preoperative risk scoring system to distinguish lymphoepithelioma-like gastric carcinoma from non-lymphoepithelioma-like gastric carcinoma |
| title_short | A computed tomography-based preoperative risk scoring system to distinguish lymphoepithelioma-like gastric carcinoma from non-lymphoepithelioma-like gastric carcinoma |
| title_sort | computed tomography based preoperative risk scoring system to distinguish lymphoepithelioma like gastric carcinoma from non lymphoepithelioma like gastric carcinoma |
| topic | gastric cancer lymphoepithelioma-like carcinoma tomography X-ray computed Epstein-Barr virus nomogram |
| url | https://www.frontiersin.org/articles/10.3389/fonc.2022.872814/full |
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