Open AccessDiagnostic Value of Risk of Malignancy Algorithm (ROMA) in Adnexal Masses
Author(s) -
Vijay Kumar,
Shiv Rajan,
Sudeep Gupta,
Naseem Akhtar,
Sonali Sharma,
Punnet Sinha,
Sanjeev Misra,
Arun Chaturvedi
Publication year - 2019
Publication title -
journal of obstetrics and gynecology of india
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.313
H-Index - 17
eISSN - 0971-9202
pISSN - 0975-6434
DOI - 10.1007/s13224-019-01295-3
Subject(s) - medicine , malignancy , adnexal mass , adnexal diseases , histopathology , prospective cohort study , postmenopausal women , predictive value , cutoff , receiver operating characteristic , predictive value of tests , gynecology , diagnostic accuracy , cancer , radiology , pathology , laparoscopy , physics , quantum mechanics
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.