Study on the diagnostic efficacy of ADNEX model in differentiating metastatic and primary ovarian cancer
Objective: To study the clinical value of the International Ovarian Tumor Analysis(IOTA) ADNEX(the Assessment of Differential NEopasia in the adneXa) model in differentiating metastatic ovarian cancer from primary ovarian cancer. Methods: Patients who underwent transvaginal ultrasonography and opera...
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| Format: | Article |
| Language: | zho |
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Editorial Office of Journal of Diagnostics Concepts & Practice
2023-12-01
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| Series: | Zhenduanxue lilun yu shijian |
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| Online Access: | https://www.qk.sjtu.edu.cn/jdcp/fileup/1671-2870/PDF/1710732806943-2036059015.pdf |
| _version_ | 1797258628312334336 |
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| author | NI Zhongxin, CHEN Hui |
| author_facet | NI Zhongxin, CHEN Hui |
| author_sort | NI Zhongxin, CHEN Hui |
| collection | DOAJ |
| description | Objective: To study the clinical value of the International Ovarian Tumor Analysis(IOTA) ADNEX(the Assessment of Differential NEopasia in the adneXa) model in differentiating metastatic ovarian cancer from primary ovarian cancer. Methods: Patients who underwent transvaginal ultrasonography and operation in our hospital from March 2016 to April 2021 were selected. Preoperative ultrasound examination was performed, and the model prediction results were recorded. Based on the postoperative pathological results， the sensitivity, specificity and area under receiver operating characteristic (ROC) curve of the ADNEX model with and without CA125 in distinguishing metastatic and primary ovarian cancer was calculated. Results: A total of 197 patients with ovarian cancer were enrolled, including 153 patients with primary ovarian cancer (36 patients with stage Ⅰ ovarian cancer, 117 patients with stage Ⅰ-Ⅳ ovarian cancer) and 44 patients with metastatic ovarian cancer. The area under the ROC curve of ADNEX model without CA125 in differentiating metastatic and primary ovarian cancer was 0.621 (95% confidence interval 0.534-0.708), with a sensitivity of 93.2% and a specificity of 31.4%.The area under the ROC curve of ADNEX model with CA125 was 0.810 (95% confidence interval 0.747-0.872), with a sensitivity of 79.5% and a specificity of 69.3%. The difference between the two was statistically significant (P<0.001). Conclusions: ADNEX model has good clinical value in the differentiation of metastatic and primary ovarian cancer. Use of CA125 in ADNEX can improve the diagnostic efficiency of the model. |
| first_indexed | 2024-04-24T22:56:33Z |
| format | Article |
| id | doaj.art-f0a48cacb82941a9b9252f14de3f69c7 |
| institution | Directory Open Access Journal |
| issn | 1671-2870 |
| language | zho |
| last_indexed | 2024-04-24T22:56:33Z |
| publishDate | 2023-12-01 |
| publisher | Editorial Office of Journal of Diagnostics Concepts & Practice |
| record_format | Article |
| series | Zhenduanxue lilun yu shijian |
| spelling | doaj.art-f0a48cacb82941a9b9252f14de3f69c72024-03-18T05:27:16ZzhoEditorial Office of Journal of Diagnostics Concepts & PracticeZhenduanxue lilun yu shijian1671-28702023-12-01220657357810.16150/j.1671-2870.2023.06.010Study on the diagnostic efficacy of ADNEX model in differentiating metastatic and primary ovarian cancerNI Zhongxin, CHEN Hui0Department of Gynaecology and Obstetrics, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai 200025, ChinaObjective: To study the clinical value of the International Ovarian Tumor Analysis(IOTA) ADNEX(the Assessment of Differential NEopasia in the adneXa) model in differentiating metastatic ovarian cancer from primary ovarian cancer. Methods: Patients who underwent transvaginal ultrasonography and operation in our hospital from March 2016 to April 2021 were selected. Preoperative ultrasound examination was performed, and the model prediction results were recorded. Based on the postoperative pathological results， the sensitivity, specificity and area under receiver operating characteristic (ROC) curve of the ADNEX model with and without CA125 in distinguishing metastatic and primary ovarian cancer was calculated. Results: A total of 197 patients with ovarian cancer were enrolled, including 153 patients with primary ovarian cancer (36 patients with stage Ⅰ ovarian cancer, 117 patients with stage Ⅰ-Ⅳ ovarian cancer) and 44 patients with metastatic ovarian cancer. The area under the ROC curve of ADNEX model without CA125 in differentiating metastatic and primary ovarian cancer was 0.621 (95% confidence interval 0.534-0.708), with a sensitivity of 93.2% and a specificity of 31.4%.The area under the ROC curve of ADNEX model with CA125 was 0.810 (95% confidence interval 0.747-0.872), with a sensitivity of 79.5% and a specificity of 69.3%. The difference between the two was statistically significant (P<0.001). Conclusions: ADNEX model has good clinical value in the differentiation of metastatic and primary ovarian cancer. Use of CA125 in ADNEX can improve the diagnostic efficiency of the model.https://www.qk.sjtu.edu.cn/jdcp/fileup/1671-2870/PDF/1710732806943-2036059015.pdf|ovarian cancer, metastatic|iota|adnex model|ultrasound diagnosis |
| spellingShingle | NI Zhongxin, CHEN Hui Study on the diagnostic efficacy of ADNEX model in differentiating metastatic and primary ovarian cancer Zhenduanxue lilun yu shijian |ovarian cancer, metastatic|iota|adnex model|ultrasound diagnosis |
| title | Study on the diagnostic efficacy of ADNEX model in differentiating metastatic and primary ovarian cancer |
| title_full | Study on the diagnostic efficacy of ADNEX model in differentiating metastatic and primary ovarian cancer |
| title_fullStr | Study on the diagnostic efficacy of ADNEX model in differentiating metastatic and primary ovarian cancer |
| title_full_unstemmed | Study on the diagnostic efficacy of ADNEX model in differentiating metastatic and primary ovarian cancer |
| title_short | Study on the diagnostic efficacy of ADNEX model in differentiating metastatic and primary ovarian cancer |
| title_sort | study on the diagnostic efficacy of adnex model in differentiating metastatic and primary ovarian cancer |
| topic | |ovarian cancer, metastatic|iota|adnex model|ultrasound diagnosis |
| url | https://www.qk.sjtu.edu.cn/jdcp/fileup/1671-2870/PDF/1710732806943-2036059015.pdf |
| work_keys_str_mv | AT nizhongxinchenhui studyonthediagnosticefficacyofadnexmodelindifferentiatingmetastaticandprimaryovariancancer |