A Study to Evaluate Risk of Ovarian Malignancy Algorithm (ROMA) in Patients with Ovarian Masses

Objective The aim of this study was to evaluate risk of ovarian malignancy algorithm (ROMA) in premenopausal patients with ovarian masses. Materials and Methods A mixed observational study was conducted in the Department of Obstetrics and Gynecology at Lilavati Hospital and Research Centr...

Full description

Bibliographic Details
Main Authors: Asna Aafreen, Aprajita Pankaj, Apoorv Pankaj
Format: Article
Language:English
Published: Thieme Medical Publishers, Inc. 2022-07-01
Series:Asian Journal of Oncology
Subjects:
Online Access:http://www.thieme-connect.de/DOI/DOI?10.1055/s-0042-1751119
_version_ 1818521551634432000
author Asna Aafreen
Aprajita Pankaj
Apoorv Pankaj
author_facet Asna Aafreen
Aprajita Pankaj
Apoorv Pankaj
author_sort Asna Aafreen
collection DOAJ
description Objective The aim of this study was to evaluate risk of ovarian malignancy algorithm (ROMA) in premenopausal patients with ovarian masses. Materials and Methods A mixed observational study was conducted in the Department of Obstetrics and Gynecology at Lilavati Hospital and Research Centre, Mumbai, from the month of June 2017 to March 2018. In this study, premenopausal females with ovarian masses, satisfying the inclusion criteria, were evaluated for the purpose of preoperative analysis. Results In premenopausal females, ROMA less than 11.4% is normal and more than or equal to 1.4% is increased. Considering histopathology reports as the gold standard, significant association was present between ROMA score and premenopausal status. Conclusion ROMA includes two recognized markers that are being used in the current scenario for the purpose of preoperative risk assessment of ovarian cancer, cancer antigen 125 (CA125), and human epididymis protein 4 (HE4). CA125 has been shown to be elevated in most ovarian cancer cells but has a low specificity for ovarian malignancies. HE4 is a recently developed biomarker that is elevated in ovarian cancers, as well as few other cancers, and has been shown to have higher specificity than CA125. Combining CA125 and HE4 provides a relatively more accurate prediction of malignancy than either test alone. ROMA culminates the benefits of the combined CA125 and HE4 biomarkers along with menopausal status to help assign a numeric risk stratification of malignancy in cases of ovarian tumors.
first_indexed 2024-12-11T01:52:34Z
format Article
id doaj.art-91c321af7d7340f2bf0e076e127919be
institution Directory Open Access Journal
issn 2454-6798
2455-4618
language English
last_indexed 2024-12-11T01:52:34Z
publishDate 2022-07-01
publisher Thieme Medical Publishers, Inc.
record_format Article
series Asian Journal of Oncology
spelling doaj.art-91c321af7d7340f2bf0e076e127919be2022-12-22T01:24:42ZengThieme Medical Publishers, Inc.Asian Journal of Oncology2454-67982455-46182022-07-0110.1055/s-0042-1751119A Study to Evaluate Risk of Ovarian Malignancy Algorithm (ROMA) in Patients with Ovarian MassesAsna Aafreen0Aprajita Pankaj1Apoorv Pankaj2Department of Obstetrics and Gynecology, Integral Institute of Medical Science and Research, Lucknow, Uttar Pradesh, IndiaDepartment of Obstetrics and Gynecology, Integral Institute of Medical Science and Research, Lucknow, Uttar Pradesh, IndiaDepartment of Obstetrics and Gynecology, Integral Institute of Medical Science and Research, Lucknow, Uttar Pradesh, IndiaObjective The aim of this study was to evaluate risk of ovarian malignancy algorithm (ROMA) in premenopausal patients with ovarian masses. Materials and Methods A mixed observational study was conducted in the Department of Obstetrics and Gynecology at Lilavati Hospital and Research Centre, Mumbai, from the month of June 2017 to March 2018. In this study, premenopausal females with ovarian masses, satisfying the inclusion criteria, were evaluated for the purpose of preoperative analysis. Results In premenopausal females, ROMA less than 11.4% is normal and more than or equal to 1.4% is increased. Considering histopathology reports as the gold standard, significant association was present between ROMA score and premenopausal status. Conclusion ROMA includes two recognized markers that are being used in the current scenario for the purpose of preoperative risk assessment of ovarian cancer, cancer antigen 125 (CA125), and human epididymis protein 4 (HE4). CA125 has been shown to be elevated in most ovarian cancer cells but has a low specificity for ovarian malignancies. HE4 is a recently developed biomarker that is elevated in ovarian cancers, as well as few other cancers, and has been shown to have higher specificity than CA125. Combining CA125 and HE4 provides a relatively more accurate prediction of malignancy than either test alone. ROMA culminates the benefits of the combined CA125 and HE4 biomarkers along with menopausal status to help assign a numeric risk stratification of malignancy in cases of ovarian tumors.http://www.thieme-connect.de/DOI/DOI?10.1055/s-0042-1751119risk of ovarian malignancy algorithm (roma)ovarian massespremenopausal
spellingShingle Asna Aafreen
Aprajita Pankaj
Apoorv Pankaj
A Study to Evaluate Risk of Ovarian Malignancy Algorithm (ROMA) in Patients with Ovarian Masses
Asian Journal of Oncology
risk of ovarian malignancy algorithm (roma)
ovarian masses
premenopausal
title A Study to Evaluate Risk of Ovarian Malignancy Algorithm (ROMA) in Patients with Ovarian Masses
title_full A Study to Evaluate Risk of Ovarian Malignancy Algorithm (ROMA) in Patients with Ovarian Masses
title_fullStr A Study to Evaluate Risk of Ovarian Malignancy Algorithm (ROMA) in Patients with Ovarian Masses
title_full_unstemmed A Study to Evaluate Risk of Ovarian Malignancy Algorithm (ROMA) in Patients with Ovarian Masses
title_short A Study to Evaluate Risk of Ovarian Malignancy Algorithm (ROMA) in Patients with Ovarian Masses
title_sort study to evaluate risk of ovarian malignancy algorithm roma in patients with ovarian masses
topic risk of ovarian malignancy algorithm (roma)
ovarian masses
premenopausal
url http://www.thieme-connect.de/DOI/DOI?10.1055/s-0042-1751119
work_keys_str_mv AT asnaaafreen astudytoevaluateriskofovarianmalignancyalgorithmromainpatientswithovarianmasses
AT aprajitapankaj astudytoevaluateriskofovarianmalignancyalgorithmromainpatientswithovarianmasses
AT apoorvpankaj astudytoevaluateriskofovarianmalignancyalgorithmromainpatientswithovarianmasses
AT asnaaafreen studytoevaluateriskofovarianmalignancyalgorithmromainpatientswithovarianmasses
AT aprajitapankaj studytoevaluateriskofovarianmalignancyalgorithmromainpatientswithovarianmasses
AT apoorvpankaj studytoevaluateriskofovarianmalignancyalgorithmromainpatientswithovarianmasses