Literature DB >> 12821350

Risk of malignancy index in the preoperative evaluation of patients with adnexal masses.

Erik Soegaard Andersen1, Aage Knudsen, Per Rix, Birger Johansen.   

Abstract

OBJECTIVE: The aim of this study was to evaluate the use of a Risk of Malignancy Index (RMI) in primary evaluation of patients with adnexal masses.
METHODS: The RMI is based on menopausal status, ultrasonographic findings, and serum CA 125 level. A cutoff level of 200 was chosen as the threshold for referral for centralized primary surgery. This setup was evaluated by sensitivity, specificity, and positive predictive (PPV) and negative predictive (NPV) values with respect to the ability to distinguish malignant from benign pelvic masses.
RESULTS: The sensitivity was 70.6%, specificity 89.3%, PPV 66.1%, and NPV 91.1% for the total material. For the patients undergoing surgery the sensitivity was 70.6%, specificity 87.7%, PPV 66.1%, and NPV 89.8%. If stage I disease is considered "benign" disease, the sensitivity is 95.5%, specificity 87.9%, PPV 57.8%, and NPV 99.1%.
CONCLUSIONS: RMI is a simple, easily applicable method in the primary evaluation of patients with adnexal masses. It is usable as a method for selective referral of relevant patients for centralized primary surgery. The method has significant limitations in borderline ovarian tumors, stage I invasive cancers, and nonepithelial tumors. Other methods should be evaluated to increase diagnostic accuracy in these cases.

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Year:  2003        PMID: 12821350     DOI: 10.1016/s0090-8258(03)00192-6

Source DB:  PubMed          Journal:  Gynecol Oncol        ISSN: 0090-8258            Impact factor:   5.482


  11 in total

1.  Risk of malignancy index as an evaluation of preoperative pelvic mass.

Authors:  Zinatossadat Bouzari; Shahla Yazdani; Ziba Shirkhani Kelagar; Narges Abbaszadeh
Journal:  Caspian J Intern Med       Date:  2011

2.  Risk of malignancy index is not sensitive in detecting non-epithelial ovarian cancer and borderline ovarian tumor.

Authors:  Onur Meray; Ilgın Türkçüoğlu; Mehmet Mutlu Meydanlı; Ayşe Kafkaslı
Journal:  J Turk Ger Gynecol Assoc       Date:  2010-03-01

3.  Evaluation of selected ultrasonographic parameters and marker levels in the preoperative differentiation of borderline ovarian tumors and ovarian cancers.

Authors:  Piotr Sobiczewski; Anna Dańska-Bidzińska; Jakub Rzepka; Jolanta Kupryjańczyk; Mariusz Gujski; Mariusz Bidziński; Wojciech Michalski
Journal:  Arch Gynecol Obstet       Date:  2012-07-21       Impact factor: 2.344

4.  A critical assessment of SELDI-TOF-MS for biomarker discovery in serum and tissue of patients with an ovarian mass.

Authors:  Wouter Wegdam; Perry D Moerland; Danielle Meijer; Shreyas M de Jong; Huub C J Hoefsloot; Gemma G Kenter; Marrije R Buist; Johannes Mf G Aerts
Journal:  Proteome Sci       Date:  2012-07-23       Impact factor: 2.480

5.  Role of multidetector computed tomography (MDCT) in patients with ovarian masses.

Authors:  Fatima Mubarak; Muhammad Shahbaz Alam; Waseem Akhtar; Saima Hafeez; Noureen Nizamuddin
Journal:  Int J Womens Health       Date:  2011-04-05

6.  Is Risk Malignancy Index a Useful Tool for Predicting Malignant Ovarian Masses in Developing Countries?

Authors:  Aliya B Aziz; Nida Najmi
Journal:  Obstet Gynecol Int       Date:  2015-06-21

7.  The Comparison of Pelvic Mass Score and Risk of Malignancy Index-3 in Discrimination of Benign and Malignant Adnexal Masses.

Authors:  Aliya Isgandarova; Ayse Ender Yumru; Suat Karatas; Burcu Dincgez Cakmak; Betul Dundar; Ulku Ayse Turker
Journal:  Sisli Etfal Hastan Tip Bul       Date:  2020-12-11

8.  An Evaluation of the Applicability of the Risk of Malignancy Index for Adnexal Masses to Patients Seen at a Tertiary Hospital in Chandigarh, India.

Authors:  Sunny Chopra; Richa Vaishya; Jasbinder Kaur
Journal:  J Obstet Gynaecol India       Date:  2014-07-10

9.  Early stage ovarian carcinoma with symptoms mimicking tuberculous peritonitis in a postmenopausal woman: A case report.

Authors:  Seong Taek Mun; Si-Hyong Jang; Aeli Ryu
Journal:  Medicine (Baltimore)       Date:  2018-10       Impact factor: 1.817

10.  Comparison of the Diagnostic Performances of Ultrasound-Based Models for Predicting Malignancy in Patients With Adnexal Masses.

Authors:  Le Qian; Qinwen Du; Meijiao Jiang; Fei Yuan; Hui Chen; Weiwei Feng
Journal:  Front Oncol       Date:  2021-06-01       Impact factor: 6.244

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