A predictive model for residual lesions after LEEP surgery in CIN III patients
Background and aimsThe residual lesions after Loop Electrosurgical Excision Procedure (LEEP) contributes to poor prognosis in patients with Cervical Intraepithelial Neoplasia Grade 3 (CIN3). The aim of this study is to establish an effective clinical predictive model for residual lesions in CIN3 pat...
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Frontiers Media S.A.
2023-12-01
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Online Access: | https://www.frontiersin.org/articles/10.3389/fmed.2023.1326833/full |
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author | Lihui Deng Tiejun Wang Ye Chen Xueli Tang Dajun Xiang |
author_facet | Lihui Deng Tiejun Wang Ye Chen Xueli Tang Dajun Xiang |
author_sort | Lihui Deng |
collection | DOAJ |
description | Background and aimsThe residual lesions after Loop Electrosurgical Excision Procedure (LEEP) contributes to poor prognosis in patients with Cervical Intraepithelial Neoplasia Grade 3 (CIN3). The aim of this study is to establish an effective clinical predictive model for residual lesions in CIN3 patients after LEEP.MethodsA retrospective analysis was performed on 436 CIN3 patients who underwent total hysterectomy within 3 months after LEEP. Based on the post-hysterectomy pathologic, the patients were divided into the no residual group and residual group. Clinical parameters were compared between the two groups, and univariate and multivariate logistic regression analyses were conducted to identify independent risk factors for residual lesions in CIN3 patients after LEEP. Using R software, a nomogram model was established and its effectiveness was evaluated using calibration plots.ResultsThere were 178 cases in the residual group and 258 cases in the no residual group. The two groups had no significant difference in general characteristics (p > 0.05). It was found that Post-LEEP follow-up HPV, Post-LEEP follow-up TCT, and the Gland involvement were independent risk factors for residual lesions in CIN3 patients after LEEP (all p < 0.05). The consistency index (C-index) of the nomogram model for predicting residual lesions was 0.975 (0.962–0.988).ConclusionThe Post-LEEP follow-up HPV, Post-LEEP follow-up TCT, and Gland involvement are independent risk factors related to residual tissue after LEEP surgery in CIN3 patients. The constructed nomogram can effectively predict the presence of residual tissue after LEEP surgery in CIN3 patients and has good practical value. |
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language | English |
last_indexed | 2024-03-09T01:03:32Z |
publishDate | 2023-12-01 |
publisher | Frontiers Media S.A. |
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series | Frontiers in Medicine |
spelling | doaj.art-35ad83886e2a454b9540f9d3f563d52d2023-12-11T12:54:27ZengFrontiers Media S.A.Frontiers in Medicine2296-858X2023-12-011010.3389/fmed.2023.13268331326833A predictive model for residual lesions after LEEP surgery in CIN III patientsLihui Deng0Tiejun Wang1Ye Chen2Xueli Tang3Dajun Xiang4Department of Gynecology, Xishan People's Hospital of Wuxi City, Wuxi, ChinaDepartment of Gynecological Oncology, Wuxi Maternal and Child Health Hospital, Wuxi, ChinaDepartment of Gynecology, Xishan People's Hospital of Wuxi City, Wuxi, ChinaDepartment of Gynecology, Xishan People's Hospital of Wuxi City, Wuxi, ChinaDepartment of Gynecology, Xishan People's Hospital of Wuxi City, Wuxi, ChinaBackground and aimsThe residual lesions after Loop Electrosurgical Excision Procedure (LEEP) contributes to poor prognosis in patients with Cervical Intraepithelial Neoplasia Grade 3 (CIN3). The aim of this study is to establish an effective clinical predictive model for residual lesions in CIN3 patients after LEEP.MethodsA retrospective analysis was performed on 436 CIN3 patients who underwent total hysterectomy within 3 months after LEEP. Based on the post-hysterectomy pathologic, the patients were divided into the no residual group and residual group. Clinical parameters were compared between the two groups, and univariate and multivariate logistic regression analyses were conducted to identify independent risk factors for residual lesions in CIN3 patients after LEEP. Using R software, a nomogram model was established and its effectiveness was evaluated using calibration plots.ResultsThere were 178 cases in the residual group and 258 cases in the no residual group. The two groups had no significant difference in general characteristics (p > 0.05). It was found that Post-LEEP follow-up HPV, Post-LEEP follow-up TCT, and the Gland involvement were independent risk factors for residual lesions in CIN3 patients after LEEP (all p < 0.05). The consistency index (C-index) of the nomogram model for predicting residual lesions was 0.975 (0.962–0.988).ConclusionThe Post-LEEP follow-up HPV, Post-LEEP follow-up TCT, and Gland involvement are independent risk factors related to residual tissue after LEEP surgery in CIN3 patients. The constructed nomogram can effectively predict the presence of residual tissue after LEEP surgery in CIN3 patients and has good practical value.https://www.frontiersin.org/articles/10.3389/fmed.2023.1326833/fullLEEPpost-total hysterectomycervical intraepithelial neoplasia grade IIIpredictive modelnomogram LEEP |
spellingShingle | Lihui Deng Tiejun Wang Ye Chen Xueli Tang Dajun Xiang A predictive model for residual lesions after LEEP surgery in CIN III patients Frontiers in Medicine LEEP post-total hysterectomy cervical intraepithelial neoplasia grade III predictive model nomogram LEEP |
title | A predictive model for residual lesions after LEEP surgery in CIN III patients |
title_full | A predictive model for residual lesions after LEEP surgery in CIN III patients |
title_fullStr | A predictive model for residual lesions after LEEP surgery in CIN III patients |
title_full_unstemmed | A predictive model for residual lesions after LEEP surgery in CIN III patients |
title_short | A predictive model for residual lesions after LEEP surgery in CIN III patients |
title_sort | predictive model for residual lesions after leep surgery in cin iii patients |
topic | LEEP post-total hysterectomy cervical intraepithelial neoplasia grade III predictive model nomogram LEEP |
url | https://www.frontiersin.org/articles/10.3389/fmed.2023.1326833/full |
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