scholarly journals Efficacy of HE4, CA125, Risk of Malignancy Index and Risk of Ovarian Malignancy Index to Detect Ovarian Cancer in Women with Presumed Benign Ovarian Tumours: A Prospective, Multicentre Trial

2019 ◽  
Vol 8 (11) ◽  
pp. 1784 ◽  
Author(s):  
Vincent Dochez ◽  
Mélanie Randet ◽  
Céline Renaudeau ◽  
Jérôme Dimet ◽  
Aurélie Le Thuaut ◽  
...  
Keyword(s):  
Ovarian Cancer ◽  
Likelihood Ratio ◽  
Positive Likelihood Ratio ◽  
Ovarian Malignancy ◽  
Cancer Antigen 125 ◽  
Mean Values ◽  
Benign Ovarian Tumours ◽  
Ovarian Tumours ◽  
Risk Of Malignancy ◽  
Risk Of Malignancy Index

Background: Presumed benign ovarian tumours (PBOT) are defined by the International Ovarian Tumour Analysis (IOTA) group, without suspected sonographic criteria of cancer, without ascites or metastasis. The aim is to evaluate the efficacy of human epididymis protein 4 (HE4), cancer antigen 125 (CA125), the risk of malignancy index (RMI) and the risk of ovarian malignancy index (ROMA) to predict ovarian cancer in women with PBOT. Methods: It is a prospective, observational, multicentre, laboratory-based study including women with PBOT in four hospitals from 11 May 2015 through 12 May 2016. Preoperative CA125 and HE4 plasma levels were measured for all women. The primary endpoint was the specificity of CA125 and HE4 for diagnosing ovarian cancer. The main secondary endpoints were specificity and likelihood ratio of RMI, ROMA and tumours markers. Results: Two hundred and fifty patients were initially enrolled and 221 patients were finally analysed, including 209 benign ovarian tumours (94.6%) and 12 malignant ovarian tumours (5.4%). The malignant group had significantly higher mean values of HE4, CA125, RMI and ROMA compared to the benign group (p < 0.001). Specificity was significantly higher using a combination of HE4 and CA125 (99.5%) compared to either HE4 or CA125 alone (90.4% and 91.4%, respectively, p < 0.001). Moreover, the positive likelihood ratio for combination HE4 and CA125 was significantly higher (104.5; 95% CI 13.6–800.0) compared to HE4 alone (5.81; 95% CI 2.83–11.90) or CA125 alone (6.97; 95% CI 3.91–12.41). Conclusions: The combination of HE4 and CA125 represents the best tool to predict the risk of ovarian cancer in patients with a PBOT.

scholarly journals Diagnostic accuracy of the risk of malignancy index 1 compared to the more recent IOTA ADNEX model in discriminating benign from malignant adnexal masses: a multi-centric study

2019 ◽  
Vol 8 (3) ◽  
pp. 1001
Author(s):  
Amita Ray ◽  
Divya S. ◽  
B. N. Kumar Guru ◽  
A. S. Ramaswamy ◽  
Bharat Kumar
Keyword(s):  
Diagnostic Accuracy ◽  
Likelihood Ratio ◽  
Predictive Value ◽  
Positive Likelihood Ratio ◽  
Negative Likelihood Ratio ◽  
Adnexal Masses ◽  
Medical College ◽  
Risk Of Malignancy ◽  
Risk Of Malignancy Index ◽  
Almost All

Background: Identification of the nature of an adnexal mass can ensure optimum management. Single parameters as well as diagnostic models using a combination of several parameters are in use. The International Ovarian Tumor Analysis (IOTA) consortium has developed and published the Assessment of Different NEoplasias in the adneXa (ADNEX) model, which differentiates between benign and malignant masses. Authors conducted this study with the aim of finding a cut off value for this model in the study population and comparing the diagnostic accuracy of this model to that of the risk of malignancy (RMI).Methods: Women with adnexal masses admitted to the 3 medical college affiliated hospitals for surgical management were included in this study. Appropriate investigations were done to calculate the RMI-I and ADNEX score for each participant. A cut off score for the ADNEX model was determined and diagnostic accuracy tests were done for comparison.Results: At a cut-off of 29 for the ADNEX model and 200 for RMI model the sensitivity was 75% and 77.8, specificity 100% and 80.6%; Positive Predictive Value (PPV) 100%and 60%; Negative Predictive Value (NPV) 91% and 90.6%; Positive Likelihood ratio of infinity and 4 and a negative Likelihood Ratio of 2.8 and 2.5 respectively.Conclusions: The ADNEX model rates higher than the RMI in almost all tests of diagnostic accuracy and can be used for triaging, framing a referral policy and prioritizing surgery.

Effectiveness of the Risk of Malignancy Index and the Risk of Ovarian Malignancy Algorithm in a Cohort of Women With Ovarian Cancer

2015 ◽  
Vol 25 (5) ◽  
pp. 809-814 ◽  
Author(s):  
Genevieve K. Lennox ◽  
Lua R. Eiriksson ◽  
Clare J. Reade ◽  
Felix Leung ◽  
Golnessa Mojtahedi ◽  
...  
Keyword(s):  
Ovarian Cancer ◽  
Ovarian Malignancy ◽  
Risk Of Malignancy ◽  
Risk Of Malignancy Index

scholarly journals Validity of Cancer Antigen-125 (CA-125) and Risk of Malignancy Index (RMI) in the Diagnosis of Ovarian Cancer

2015 ◽  
Vol 30 (6) ◽  
pp. 428-434 ◽  
Author(s):  
Khawla Al-Musalhi ◽  
Manal Al-Kindi ◽  
Fatma Ramadhan ◽  
Thuraya Al-Rawahi ◽  
Khalsa Al-Hatali ◽  
...  
Keyword(s):  
Ovarian Cancer ◽  
Ca 125 ◽  
Cancer Antigen 125 ◽  
Cancer Antigen ◽  
Risk Of Malignancy ◽  
Risk Of Malignancy Index

scholarly journals The accuracy of modified risk malignancy index (RMI) in predicting malignancy of epithelial type ovarian cancer

2019 ◽  
pp. 228-232
Author(s):  
Esfi Triana ◽  
Defrin Dr. ◽  
Joserizal Serudji ◽  
Adriswan Dr.
Keyword(s):  
Likelihood Ratio ◽  
Predictive Value ◽  
Positive Likelihood Ratio ◽  
Negative Likelihood Ratio ◽  
Ovarian Tumour ◽  
Scoring Method ◽  
Chi Square ◽  
Risk Of Malignancy ◽  
Risk Of Malignancy Index ◽  
Sensitivity Specificity

Abstract Objective:To investigate the accuracy of modified Risk of Malignancy Index (RMI) in predicting malignancy of epithelial type ovarian tumour. Method: This research was comparative research using cross-sectional study design, which compared RMI modification and RMI method in predicting malignancy of epithelial type ovarian tumour. The sampling technique was consecutive sampling. This research was conducted on October 2017 until samples were fulfilled in Obstetrics and Gynecology Division of RSUP Dr. M. Djamil and Laboratory of RSUP Dr. M Djamil in Padang. Chi-square test was used to compare specificity, sensitivity, positive predictive value (PPV), negative predictive value (NPV), positive likelihood ratio (PLR), negative likelihood ratio (NLR, and accuracy of RMI modification and RMI with 95% CI (p≤0,05). Results: A total of 61 subjects were recruited in this study. Sensitivity, specificity, PPV, NPV, PLR, NLR, and accuracy RMI modification scoring was 90.5%, 82.5%, 73.1%, 94.3%, 5.1, 0.1, dan 85.2%. Sensitivity, specificity, PPV, NPV, PLR, NLR, and accuracy RMI scoring was 66.7%, 70%, 53.8%, 80%, 2.2, 0.4, and 70% Conclusions:Modified RMI scoring method was more accurate in predicting the malignancy of ovarian type epithelial tumours than RMI. Keywords: CA125, malignancy, ovarian tumor,pelvic mass, RMI,   Abstrak Tujuan: Mengetahui akurasi Risk of Malignancy Index (RMI) dalam prediksi keganasan tumor ovarium tipe epitel.  Metode: Penelitian ini merupakan penelitian komparatif dengan desain penelitian potong lintang yang membandingkan metode RMI modifikasi dan RMI dalam prediksi keganasan tumor ovarium tipe epitel. Jumlah sampel sebanyak 61 orang. Teknik pengambilan sampel berurutan. Penelitian di mulai pada bulan Oktober 2017 hingga jumlah sampel terpenuhi di Departemen Obstetri dan Ginekologi RSUP Dr. M Djamil dan Laboratorium RSUP Dr. M Djamil Padang. Untuk membandingkan spesifisitas, sensitivitas, nilai duga positif (NDP), nilai duga negatif (NDN), rasio kemungkinan positif (RKP), rasio kemungkinan negatif (RKN), dan akurasi RMI modifikasi dan RMI digunakan uji chi-square dengan 99% CI (p≤0,01). Hasil: Sensitivitas, spesifisitas, NDP, NDN, RKP, RKN, dan akurasi skoring RMI modifikasi adalah 90,5%, 82,5%, 73,1%, 94,3%, 5,1, 0,1, dan 85,2%. Sensitivitas, spesifisitas, NDP, NDN, RKP, RKN, dan akurasi skoring RMI adalah 66,7%, 70%, 53,8%, 80%, 2,2, 0,4, dan 70%. Kesimpulan: Metode skoring RMI modifikasi lebih akurat dalam memprediksi keganasan tumor ovarium tipe epitel dibandingkan RMI. Kata kunci: CA125, keganasan, massapelvik, RMI, tumor ovarium

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

2015 ◽  
Vol 2015 ◽  
pp. 1-5 ◽  
Author(s):  
Aliya B. Aziz ◽  
Nida Najmi
Keyword(s):  
Developing Countries ◽  
Likelihood Ratio ◽  
Menopausal Status ◽  
Tertiary Care ◽  
Positive Likelihood Ratio ◽  
Study Group ◽  
Adnexal Masses ◽  
Pelvic Masses ◽  
Risk Of Malignancy ◽  
Risk Of Malignancy Index

Introduction. Risk of Malignancy Index (RMI) is widely studied for prediction of malignant pelvic masses in Western population. However, little is known regarding its implication in the developing countries. The objective of this study is to determine how accurately the RMI can predict the malignant pelvic masses.Materials and Methods. The study is a retrospective review of patients attending the gynecological clinic between January 2004 and December 2008 with adnexal masses. Information on demographic characteristics, ultrasound findings, menopausal status, CA125, and histopathology was collected. RMI score for each patient in the study group was calculated.Results. The study group included a total of 283 patients. Analysis of the individual parameters of RMI revealed that ultrasound was the best predictor of malignancy with a sensitivity, specificity, and positive likelihood ratio of 78.3%, 81.5%, and 4.2, respectively. At a standard cut-off value of 250, RMI had a positive likelihood ratio of 8.1, while it was 6.8 at a cut-off of 200, albeit with comparable sensitivity and specificity.Conclusion. RMI is a sensitive tool in predicting malignant adnexal masses. A cut-off of 200 may be suitable in developing countries for triaging and early referral to tertiary care centers.

scholarly journals Evaluation of HE4, CA-125, Risk of Ovarian Malignancy Algorithm (ROMA) and Risk of Malignancy Index (RMI) in the Preoperative Assessment of Patients with Adnexal Mass

2016 ◽  
Vol 31 (5) ◽  
pp. 336-344 ◽  
Author(s):  
Khawla Al Musalhi ◽  
Manal Al Kindi ◽  
Faiza Al Aisary ◽  
Fatma Ramadhan ◽  
Thuraya Al Rawahi ◽  
...  
Keyword(s):  
Adnexal Mass ◽  
Preoperative Assessment ◽  
Ca 125 ◽  
Ovarian Malignancy ◽  
Risk Of Malignancy ◽  
Risk Of Malignancy Index
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