Performance of the IOTA ADNEX model combined with HE4 for identifying early-stage ovarian cancer
ObjectiveThis work was designed to investigate the performance of the International Ovarian Tumor Analysis (IOTA) ADNEX (Assessment of Different NEoplasias in the adneXa) model combined with human epithelial protein 4 (HE4) for early ovarian cancer (OC) detection.MethodsA total of 376 women who were...
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| Format: | Article |
| Language: | English |
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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.2022.949766/full |
| _version_ | 1798032806437191680 |
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| author | Suying Yang Suying Yang Jing Tang Jing Tang Yue Rong Yue Rong Min Wang Min Wang Jun Long Jun Long Cheng Chen Cheng Chen Cong Wang Cong Wang |
| author_facet | Suying Yang Suying Yang Jing Tang Jing Tang Yue Rong Yue Rong Min Wang Min Wang Jun Long Jun Long Cheng Chen Cheng Chen Cong Wang Cong Wang |
| author_sort | Suying Yang |
| collection | DOAJ |
| description | ObjectiveThis work was designed to investigate the performance of the International Ovarian Tumor Analysis (IOTA) ADNEX (Assessment of Different NEoplasias in the adneXa) model combined with human epithelial protein 4 (HE4) for early ovarian cancer (OC) detection.MethodsA total of 376 women who were hospitalized and operated on in Women and Children’s Hospital of Chongqing Medical University were selected. Ultrasonographic images, cancer antigen-125 (CA 125) levels, and HE4 levels were obtained. All cases were analyzed and the histopathological diagnosis serves as the reference standard. Based on the IOTA ADNEX model post-processing software, the risk prediction value was calculated. We analyzed receiver operating characteristic curves to determine whether the IOTA ADNEX model alone or combined with HE4 provided better diagnostic accuracy.ResultsThe area under the curve (AUC) of the ADNEX model alone or combined with HE4 in predicting benign and malignant ovarian tumors was 0.914 (95% CI, 0.881–0.941) and 0.916 (95% CI, 0.883–0.942), respectively. With the cutoff risk of 10%, the ADNEX model had a sensitivity of 0.93 (95% CI, 0.87–0.97) and a specificity of 0.73 (95% CI, 0.67–0.78), while combined with HE4, it had a sensitivity of 0.90 (95% CI, 0.84–0.95) and a specificity of 0.81 (95% CI, 0.76–0.86). The IOTA ADNEX model combined with HE4 was better at improving the accuracy of the differential diagnosis between different OCs than the IOTA ADNEX model alone. A significant difference was found in separating borderline masses from Stage II–IV OC (p = 0.0257).ConclusionsA combination of the IOTA ADNEX model and HE4 can improve the specificity of diagnosis of ovarian benign and malignant tumors and increase the sensitivity and effectiveness of the differential diagnosis of Stage II–IV OC and borderline tumors. |
| first_indexed | 2024-04-11T20:19:47Z |
| format | Article |
| id | doaj.art-f7203f292f3b43218f223c4ff881c546 |
| institution | Directory Open Access Journal |
| issn | 2234-943X |
| language | English |
| last_indexed | 2024-04-11T20:19:47Z |
| publishDate | 2022-09-01 |
| publisher | Frontiers Media S.A. |
| record_format | Article |
| series | Frontiers in Oncology |
| spelling | doaj.art-f7203f292f3b43218f223c4ff881c5462022-12-22T04:04:52ZengFrontiers Media S.A.Frontiers in Oncology2234-943X2022-09-011210.3389/fonc.2022.949766949766Performance of the IOTA ADNEX model combined with HE4 for identifying early-stage ovarian cancerSuying Yang0Suying Yang1Jing Tang2Jing Tang3Yue Rong4Yue Rong5Min Wang6Min Wang7Jun Long8Jun Long9Cheng Chen10Cheng Chen11Cong Wang12Cong Wang13Department of Ultrasonography, Chongqing Health Center for Women and Children, Chongqing, ChinaDepartment of Ultrasonography, Women and Children’s Hospital of Chongqing Medical University, Chongqing, ChinaDepartment of Ultrasonography, Chongqing Health Center for Women and Children, Chongqing, ChinaDepartment of Ultrasonography, Women and Children’s Hospital of Chongqing Medical University, Chongqing, ChinaDepartment of Ultrasonography, Chongqing Health Center for Women and Children, Chongqing, ChinaDepartment of Ultrasonography, Women and Children’s Hospital of Chongqing Medical University, Chongqing, ChinaDepartment of Ultrasonography, Chongqing Health Center for Women and Children, Chongqing, ChinaDepartment of Ultrasonography, Women and Children’s Hospital of Chongqing Medical University, Chongqing, ChinaDepartment of Ultrasonography, Chongqing Health Center for Women and Children, Chongqing, ChinaDepartment of Ultrasonography, Women and Children’s Hospital of Chongqing Medical University, Chongqing, ChinaDepartment of Ultrasonography, Chongqing Health Center for Women and Children, Chongqing, ChinaDepartment of Ultrasonography, Women and Children’s Hospital of Chongqing Medical University, Chongqing, ChinaDepartment of Ultrasonography, Chongqing Health Center for Women and Children, Chongqing, ChinaDepartment of Ultrasonography, Women and Children’s Hospital of Chongqing Medical University, Chongqing, ChinaObjectiveThis work was designed to investigate the performance of the International Ovarian Tumor Analysis (IOTA) ADNEX (Assessment of Different NEoplasias in the adneXa) model combined with human epithelial protein 4 (HE4) for early ovarian cancer (OC) detection.MethodsA total of 376 women who were hospitalized and operated on in Women and Children’s Hospital of Chongqing Medical University were selected. Ultrasonographic images, cancer antigen-125 (CA 125) levels, and HE4 levels were obtained. All cases were analyzed and the histopathological diagnosis serves as the reference standard. Based on the IOTA ADNEX model post-processing software, the risk prediction value was calculated. We analyzed receiver operating characteristic curves to determine whether the IOTA ADNEX model alone or combined with HE4 provided better diagnostic accuracy.ResultsThe area under the curve (AUC) of the ADNEX model alone or combined with HE4 in predicting benign and malignant ovarian tumors was 0.914 (95% CI, 0.881–0.941) and 0.916 (95% CI, 0.883–0.942), respectively. With the cutoff risk of 10%, the ADNEX model had a sensitivity of 0.93 (95% CI, 0.87–0.97) and a specificity of 0.73 (95% CI, 0.67–0.78), while combined with HE4, it had a sensitivity of 0.90 (95% CI, 0.84–0.95) and a specificity of 0.81 (95% CI, 0.76–0.86). The IOTA ADNEX model combined with HE4 was better at improving the accuracy of the differential diagnosis between different OCs than the IOTA ADNEX model alone. A significant difference was found in separating borderline masses from Stage II–IV OC (p = 0.0257).ConclusionsA combination of the IOTA ADNEX model and HE4 can improve the specificity of diagnosis of ovarian benign and malignant tumors and increase the sensitivity and effectiveness of the differential diagnosis of Stage II–IV OC and borderline tumors.https://www.frontiersin.org/articles/10.3389/fonc.2022.949766/fullovarian cancer (OC)IOTA ADNEX modelhuman epididymis protein 4 (HE4)serum cancer antigen-125 (CA 125)receiver-operating characteristics (ROC) curve |
| spellingShingle | Suying Yang Suying Yang Jing Tang Jing Tang Yue Rong Yue Rong Min Wang Min Wang Jun Long Jun Long Cheng Chen Cheng Chen Cong Wang Cong Wang Performance of the IOTA ADNEX model combined with HE4 for identifying early-stage ovarian cancer Frontiers in Oncology ovarian cancer (OC) IOTA ADNEX model human epididymis protein 4 (HE4) serum cancer antigen-125 (CA 125) receiver-operating characteristics (ROC) curve |
| title | Performance of the IOTA ADNEX model combined with HE4 for identifying early-stage ovarian cancer |
| title_full | Performance of the IOTA ADNEX model combined with HE4 for identifying early-stage ovarian cancer |
| title_fullStr | Performance of the IOTA ADNEX model combined with HE4 for identifying early-stage ovarian cancer |
| title_full_unstemmed | Performance of the IOTA ADNEX model combined with HE4 for identifying early-stage ovarian cancer |
| title_short | Performance of the IOTA ADNEX model combined with HE4 for identifying early-stage ovarian cancer |
| title_sort | performance of the iota adnex model combined with he4 for identifying early stage ovarian cancer |
| topic | ovarian cancer (OC) IOTA ADNEX model human epididymis protein 4 (HE4) serum cancer antigen-125 (CA 125) receiver-operating characteristics (ROC) curve |
| url | https://www.frontiersin.org/articles/10.3389/fonc.2022.949766/full |
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