The Risk of Ovarian Malignancy Algorithm (ROMA) as a Predictor of Ovarian Tumor Malignancy
Object: To assess the diagnostic value of Risk of Ovarian Malignancy Algorithm (ROMA) in predicting ovarian malignancy. Methods: Diagnostic test was performed at dr. Mohammad Hoesin Hospital Palembang during June 2016 to November 2016. Data were analized with SPSS version 21.0 and Med-calc statis...
| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
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Indonesian Society of Obstetrics and Gynecology
2017-12-01
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| Series: | Indonesian Journal of Obstetrics and Gynecology |
| Online Access: | http://inajog.com/index.php/journal/article/view/568 |
| _version_ | 1818657039233056768 |
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| author | Darlin Forbes Irawan Sastradinata Patiyus Agustiansyah Theodorus Theodorus |
| author_facet | Darlin Forbes Irawan Sastradinata Patiyus Agustiansyah Theodorus Theodorus |
| author_sort | Darlin Forbes |
| collection | DOAJ |
| description | Object: To assess the diagnostic value of Risk of Ovarian Malignancy Algorithm (ROMA) in predicting ovarian malignancy.
Methods: Diagnostic test was performed at dr. Mohammad Hoesin Hospital Palembang during June 2016 to November 2016. Data were analized with SPSS version 21.0 and Med-calc statistic.
Results: A total of 57 subjects were recruited in this study. Subjects were divided into two groups: the premenopausal and postmenopausal group. Analysis with ROC curve was performed, the ROMA optimal cut-off of ROMA was 23.7% and 48.15% in the premenopausal and the post-menopausal group, respectively. With the optimal cut-off, the sensitivity was 79.41% and specivicity was 75%, positive predictive value wa 73.07% and negative predictive value 83.77% with accuracy 76.92% in diagnosing ovarian malignancy. Compared to RMI-3, the sensitivity was 65.5% and specivicity was 85.7% with accuracy 75.44%.
Conclusion: ROMA is not a reliable diagnostic tools of ovarian malignancy.
Keywords: CA125, HE4, ovarian cancer, risk of ovarian malignancyalgorithm/ ROMA, risk of ovarian malignancy index/RMI |
| first_indexed | 2024-12-17T03:35:08Z |
| format | Article |
| id | doaj.art-8dd13da9cb824402babdee2127f0a228 |
| institution | Directory Open Access Journal |
| issn | 2338-6401 2338-7335 |
| language | English |
| last_indexed | 2024-12-17T03:35:08Z |
| publishDate | 2017-12-01 |
| publisher | Indonesian Society of Obstetrics and Gynecology |
| record_format | Article |
| series | Indonesian Journal of Obstetrics and Gynecology |
| spelling | doaj.art-8dd13da9cb824402babdee2127f0a2282022-12-21T22:05:10ZengIndonesian Society of Obstetrics and GynecologyIndonesian Journal of Obstetrics and Gynecology2338-64012338-73352017-12-0123624010.32771/inajog.v5i4.568568The Risk of Ovarian Malignancy Algorithm (ROMA) as a Predictor of Ovarian Tumor MalignancyDarlin Forbes0Irawan Sastradinata1Patiyus Agustiansyah2Theodorus Theodorus3Faculty of Medicine Universitas Indonesia/ Dr. Cipto Mangunkusumo Hospital JakartaFaculty of Medicine Universitas Indonesia/ Dr. Cipto Mangunkusumo Hospital JakartaFaculty of Medicine Universitas Sriwijaya Dr. Mohammad Hoesin Hospital PalembangFaculty of Medicine Universitas Indonesia/ Dr. Cipto Mangunkusumo Hospital JakartaObject: To assess the diagnostic value of Risk of Ovarian Malignancy Algorithm (ROMA) in predicting ovarian malignancy. Methods: Diagnostic test was performed at dr. Mohammad Hoesin Hospital Palembang during June 2016 to November 2016. Data were analized with SPSS version 21.0 and Med-calc statistic. Results: A total of 57 subjects were recruited in this study. Subjects were divided into two groups: the premenopausal and postmenopausal group. Analysis with ROC curve was performed, the ROMA optimal cut-off of ROMA was 23.7% and 48.15% in the premenopausal and the post-menopausal group, respectively. With the optimal cut-off, the sensitivity was 79.41% and specivicity was 75%, positive predictive value wa 73.07% and negative predictive value 83.77% with accuracy 76.92% in diagnosing ovarian malignancy. Compared to RMI-3, the sensitivity was 65.5% and specivicity was 85.7% with accuracy 75.44%. Conclusion: ROMA is not a reliable diagnostic tools of ovarian malignancy. Keywords: CA125, HE4, ovarian cancer, risk of ovarian malignancyalgorithm/ ROMA, risk of ovarian malignancy index/RMIhttp://inajog.com/index.php/journal/article/view/568 |
| spellingShingle | Darlin Forbes Irawan Sastradinata Patiyus Agustiansyah Theodorus Theodorus The Risk of Ovarian Malignancy Algorithm (ROMA) as a Predictor of Ovarian Tumor Malignancy Indonesian Journal of Obstetrics and Gynecology |
| title | The Risk of Ovarian Malignancy Algorithm (ROMA) as a Predictor of Ovarian Tumor Malignancy |
| title_full | The Risk of Ovarian Malignancy Algorithm (ROMA) as a Predictor of Ovarian Tumor Malignancy |
| title_fullStr | The Risk of Ovarian Malignancy Algorithm (ROMA) as a Predictor of Ovarian Tumor Malignancy |
| title_full_unstemmed | The Risk of Ovarian Malignancy Algorithm (ROMA) as a Predictor of Ovarian Tumor Malignancy |
| title_short | The Risk of Ovarian Malignancy Algorithm (ROMA) as a Predictor of Ovarian Tumor Malignancy |
| title_sort | risk of ovarian malignancy algorithm roma as a predictor of ovarian tumor malignancy |
| url | http://inajog.com/index.php/journal/article/view/568 |
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