Diagnostic Value of Risk of Malignancy Algorithm (ROMA) in Adnexal Masses.

Adnexal mass CA 125 HE4 ROMA

Journal

Journal of obstetrics and gynaecology of India
ISSN: 0971-9202
Titre abrégé: J Obstet Gynaecol India
Pays: India
ID NLM: 0374763

Informations de publication

Date de publication:
Jun 2020
Historique:
received: 06 01 2018
accepted: 01 11 2018
entrez: 2 6 2020
pubmed: 2 6 2020
medline: 2 6 2020
Statut: ppublish

Résumé

Differentiating malignancy from benign diseases is the key to successful management of adnexal masses. Risk of malignancy algorithm (ROMA) has been used for this purpose. We have prospectively studied the diagnostic value of ROMA in patients presented with adnexal masses. We prospective calculated ROMA values prior to surgery for adnexal masses. The risk calculated was then correlated with the histological findings, and results were analyzed according to menopausal status. ROMA cutoff value was determined using ROC curve, and sensitivity, specificity and predictive values were calculated. Statistics were performed on SPSS software (version 20.0). There were 94 patients with adnexal masses included in the study, 65 (69.1%) had epithelial ovarian cancer and 29 (30.9%) were diagnosed benign on histopathology. In both pre- and postmenopausal patients, ROMA values were significantly higher in patients with malignancy compared to those with benign disease ( ROMA is a useful and accurate test for differentiating epithelial ovarian cancer from benign ovarian masses. Further studies are needed to compare performance of ROMA with the Risk of Malignancy Index (RMI), CA 125 and HE4. Such comparative studies will be helpful to the clinician in deciding the best diagnostic tool for women with adnexal masses.

Sections du résumé

BACKGROUND BACKGROUND
Differentiating malignancy from benign diseases is the key to successful management of adnexal masses. Risk of malignancy algorithm (ROMA) has been used for this purpose. We have prospectively studied the diagnostic value of ROMA in patients presented with adnexal masses.
METHODS METHODS
We prospective calculated ROMA values prior to surgery for adnexal masses. The risk calculated was then correlated with the histological findings, and results were analyzed according to menopausal status. ROMA cutoff value was determined using ROC curve, and sensitivity, specificity and predictive values were calculated. Statistics were performed on SPSS software (version 20.0).
RESULTS RESULTS
There were 94 patients with adnexal masses included in the study, 65 (69.1%) had epithelial ovarian cancer and 29 (30.9%) were diagnosed benign on histopathology. In both pre- and postmenopausal patients, ROMA values were significantly higher in patients with malignancy compared to those with benign disease (
CONCLUSIONS CONCLUSIONS
ROMA is a useful and accurate test for differentiating epithelial ovarian cancer from benign ovarian masses. Further studies are needed to compare performance of ROMA with the Risk of Malignancy Index (RMI), CA 125 and HE4. Such comparative studies will be helpful to the clinician in deciding the best diagnostic tool for women with adnexal masses.

Identifiants

pubmed: 32476768
doi: 10.1007/s13224-019-01295-3
pii: 1295
pmc: PMC7239964
doi:

Types de publication

Journal Article

Langues

eng

Pagination

214-219

Informations de copyright

© Federation of Obstetric & Gynecological Societies of India 2019.

Déclaration de conflit d'intérêts

Conflict of interestThe authors declare that there is no conflict of interest in the present study.

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Auteurs

Vijay Kumar (V)

1Department of Surgical Oncology, King George's Medical University, Oncology Office, 3rd Floor, Shatabdi Building Phase 2, Lucknow, Uttar Pradesh 226003 India.

Shiv Rajan (S)

1Department of Surgical Oncology, King George's Medical University, Oncology Office, 3rd Floor, Shatabdi Building Phase 2, Lucknow, Uttar Pradesh 226003 India.

Sameer Gupta (S)

1Department of Surgical Oncology, King George's Medical University, Oncology Office, 3rd Floor, Shatabdi Building Phase 2, Lucknow, Uttar Pradesh 226003 India.

Naseem Akhtar (N)

1Department of Surgical Oncology, King George's Medical University, Oncology Office, 3rd Floor, Shatabdi Building Phase 2, Lucknow, Uttar Pradesh 226003 India.

Sonali Sharma (S)

2Department of Gynecology and Obstetrics, Sri Guru Ram Das Institute of Medical Sciences and Research, Amritsar, Punjab India.

Punnet Sinha (P)

1Department of Surgical Oncology, King George's Medical University, Oncology Office, 3rd Floor, Shatabdi Building Phase 2, Lucknow, Uttar Pradesh 226003 India.

Sanjeev Misra (S)

3All India Institute of Medical Sciences, Jodhpur, Rajasthan India.

Arun Chaturvedi (A)

1Department of Surgical Oncology, King George's Medical University, Oncology Office, 3rd Floor, Shatabdi Building Phase 2, Lucknow, Uttar Pradesh 226003 India.

Classifications MeSH