Improved Detection Rate of Ovarian Cancer Using a 2-Step Triage Model of the Risk of Malignancy Index and Expert Sonography in an Outpatient Screening Setting

2016 ◽  
Vol 26 (6) ◽  
pp. 1062-1069 ◽  
Author(s):  
Gwendolin Manegold-Brauer ◽  
Johanna Buechel ◽  
Alexandra Knipprath-Mészaros ◽  
Andreas Schoetzau ◽  
Neville F. Hacker ◽  
...  

ObjectivePreoperative assessment of adnexal masses with ultrasound has been shown to be time-, cost-effective, and specific. When used in combination with the menopausal status and the tumor marker CA125, the risk of malignancy index (RMI) can be calculated, allowing appropriate preoperative triage of patients to a gynecologist or a gynecological oncologist. Moreover, it allows for accurate planning of the required surgical procedure (laparoscopy vs laparotomy).MethodsA large general gynecologic ultrasonic database retrospectively identified 5218 patients for a 14-year period who presented to the outpatient clinic with an adnexal mass. Additional data (menopausal status, histology, CA125 values) were available in 1108 of these patients. Sensitivity, specificity, positive predictive value, and negative predictive value were calculated. The results were then compared with previously published data from a large Australian gynecological cancer center (GCC, n = 204).ResultsWith the use of an RMI cutoff of 200, malignant ovarian tumors were correctly triaged to a gynecologic oncologist in 123 of 172 cases, leading to a sensitivity of 72% and specificity of 92% in our general outpatient clinic population compared with a sensitivity of 84% and a specificity of 77% in the GCC high-risk population. The negative predictive value was 95% compared with only 85% in the GCC cohort. We hypothesize that improvement of the overall detection rate of malignancy could be improved from 72% to 85% using a 2-step model, referring patients with an ultrasonic score of 3 to an experienced sonographer who uses pattern recognition.ConclusionsThe RMI is an easy and reliable tool for the accurate triage of adnexal masses. Its value is higher in an unselected gynecological outpatient setting. Our proposed 2-step model including expert pattern recognition could influence particularly the detection rate in borderline and early-stage ovarian cancers and overcome the limitations of the tumor marker CA125.

2011 ◽  
Vol 68 (7) ◽  
pp. 589-593 ◽  
Author(s):  
Milan Terzic ◽  
Jelena Dotlic ◽  
Ivana Likic-Ladjevic ◽  
Jasmina Atanackovic ◽  
Nebojsa Ladjevic

Background/Aim. Ovarian cancer is the leading cause of death from gynecologic malignancies. Risk of malignancy index (RMI) is recommended in assessment of patients with adnexal masses. The aim of this study was to verify the effectiveness of the RMI in the discrimination between benign lesions and malignant adnexal masses in clinical practice. Methods. Ultrasounds were performed for all the patients and menopausal status, CA125 level and calculated RMI were defined. All the patients were divided into 3 groups depending on RMI (< 25, 25-200, > 200). After operations all adnexal masses were analyzed histopathologically (HP) and then sensitivity, specificity and predictive value of RMI were calculated. Results. Out of a total of 81 patients involved benign tumor had 51 (62.96%) and malignant 30 (37.04%) of the patients. The average value of CA125 in the group of patients with benign adnexal masses was 68.3 U/mL and in the group of patients with malignant adnexal masses it was 581.95 U/mL. In the group of patients with benign adnexal masses the average RMI was 284.9 and in the group of patients with malignant adnexal masses RMI was 469.2. All the results showed a positive correlation between both HP categories and RMI categories. The more malignant HP result produced higher RMI and the cut off value was RMI = 200. Sensitivity of RMI was 83.33%, specificity was 94.12%, positive predictive value was 89.29% and negative predictive value was 90.57%. Conclusion. Our study showed that RMI is very reliable in differentiation benign from malignant adnexal masses.


Author(s):  
Abha Sharma ◽  
Richa Sharma ◽  
Ashita Gulati

Background: Objective of the study was to evaluate ovarian crescent sign (OCS) as a sonographic parameter for prediction of ovarian cancer in adnexal masses suspicious of ovarian malignancy and to compare it with risk of malignancy index (RMI).Methods: Presence of OCS and calculation of RMI was done for 50 cases of adnexal masses scheduled to undergo surgery taking histopathology as gold standard.Results: 18% (9/50) of adnexal masses were malignant. OCS was absent in all malignant lesions, giving a sensitivity and negative predictive value of 100%. OCS was present in 33/41 of benign masses (specificity 80.4%). Relation of OCS to mass size<10 cm and menopausal status was significant (p<0.001). RMI≥200 could not diagnose malignancy in 4/9 cases (sensitivity 55.5%). RMI had specificity and negative predictive value of 95.1% and 90.7% respectively. Combining OCS and RMI had a lower specificity. Sequential application using OCS as first node and RMI as second node failed to diagnose 44.4% (4/9) cases as malignant.Conclusions: OCS is cheaper, easy to perform and appears to be a better test than RMI to differentiate between benign and early-stage malignant ovarian tumors. It can be used for triaging patient for referral.


2020 ◽  
Vol 22 (4) ◽  
pp. 199-202
Author(s):  
Manisha Acharya ◽  
P Kumar ◽  
BB Shrestha ◽  
S Shrestha ◽  
R Amatya ◽  
...  

Adnexal mass is a common clinical finding in gynaecological practice. The study aims to find out the diagnostic value of clinical examination, ultrasonography and Ca-125 and its correlation, using Risk of Malignancy Index with histopathological diagnosis in adnexal masses. Clinical records were retrieved of women who had surgical management for adnexal mass in the last 2 years duration. Based on the data, Risk of Malignancy Index values were calculated. It was then compared with histopathological diagnosis. Out of 66 patients, 56 patients had benign tumor and 10 patients had malignancy. The Risk of Malignancy Index values of each patient was calculated which ranged from 8 to 2205 with mean value of 425.52 (SD±41.8). Risk of Malignancy Index sensitivity was 70%, specificity was 96.42%, positive predictive value was 77.78%, and negative predictive value was 95.83%. Risk of Malignancy Index is a reliable diagnostic tool in differentiating benign from malignant adnexal masses.


Author(s):  
Amita Ray ◽  
Divya S. ◽  
B. N. Kumar Guru ◽  
A. S. Ramaswamy ◽  
Bharat Kumar

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.


Author(s):  
Fisun Vural ◽  
Sinem Ertaş ◽  
Gültekin Köse ◽  
Ayşe Deniz Ertürk Coşkun ◽  
Ertuğrul Can Tüfekçi ◽  
...  

Author(s):  
Yasin Durmus ◽  
Mehmet Mutlu Meydanli

<p><strong>Objectives:</strong> To evaluate diagnostic accuracy of "Risk Of Malignancy İndex-1" (RMI-1) for postmenopausal adnexal masses.</p><p><strong>Study Design:</strong> Fifty postmenopausal women who had undergone surgery because of adnexal masses were included in this prospective study. RMI-1 scores were calculated through the formula: [RMI= Ultrasound Score x Menopause Score x Serum Ca-125 Level] and noted preoperatively by the same sonographer for each case. "Final histopathological diagnosis" was accepted as gold standard for benign-malignant categorical distribution. Borderline tumors were categorized in malignant tumor group.<br /><strong></strong></p><p><strong>Results:</strong> According to final histopathological results; 20 of the 50 patients had malignant adnexal masses. Twelve of them had invasive epithelial tumors. The remaining 8 patients had borderline epithelial tumors or non-epithelial ovarian cancers. When the RMI score ≥200 was accepted as a positive test result compatible with the literature; we calculated the sensitivity: 75%, specificity: 93%, positive predictive value: 88%, negative predictive value: 85% predicting malignant adnexal masses. All of the 12 patients with invasive epithelial tumors had RMI-1 scores higher than 200. Nevertheless, only 3 of the 8 patients with borderline epithelial tumors or non-epithelial ovarian cancers had RMI-1 scores higher than 200. We have found out that invasive epithelial tumors had higher USG Scores, Ca-125 Levels and RMI Scores when compared to borderline epithelial tumors and non-epithelial ovarian cancers and the difference was statistically significant.<br /><strong></strong></p><p><strong>Conclusions:</strong> RMI-1 is a valuable and applicable method in the initial evaluation of postmenopausal patients with adnexal masses. İt has a high diagnostic performance in detecting invasive epithelial ovarian cancers, but it has a poor sensitivity in detecting borderline ovarian tumors and non-epithelial ovarian cancers.</p>


2013 ◽  
Vol 68 (8) ◽  
pp. 9-13 ◽  
Author(s):  
A. S. Gasparov ◽  
K. I. Zhordania ◽  
Yu. G. Payanidi ◽  
E. D. Dubinskaya

Adnexal masses are frequently found in both symptomatic and asymptomatic women. The frequency of them is 7,8% in reproductive aged women and 2,5–18% in postmenopausal patients. Aim: to investigate clinical significance of the Risk of Malignancy Index (RMI) and to compare it with histological findings in patients with adnexal masses. Patients and methods: 345 patients with adnexal masses were evaluated. Depending on the menopausal status, serum CA-125 level and ultrasonographic findings RMI scores were calculated for each of patients. Results: according to RMI all the patients were divided in to two groups: first group — 283 (62%) of patients with RMI less then 200 and the second group — 52 (38%) women with RMI more then 200. The patients of the second group were referred to the oncologist. Among the patients with RMI 200, 137 (48,4%) endometriomas, 73 (25,8%) serous cystadenoma, 45 (15,9%) dermoid cysts, 22 (7,8%) paraovarian cysts, 2 (0,7%) adenocarcinoma were detected after histological examination. In patients with RMI 200, 25% of benign ovarian tumors, 34,6% of borderline and 40,4% of malignant tumors were verified. Conclusions: RMI when used in the presence of a pelvic mass is a useful triage tool to determine those women who should be referred to a gynaecological oncologist. During laparoscopy, in cases of intraoperative malignancy suspicion staging should be performed: videorecord of the surgery, biopsy of the adnexal mass and contralateral ovary, biopsy of the omentum and peritoneum, and aspiration of the peritoneal fluid for cytological examination.


Author(s):  
Amarjeet Kaur ◽  
Sujata Sharma ◽  
Sohan Singh

Background: The discrimination between benign and malignant adnexal masses is important for clinical management and surgical planning in such patients. Various combined methods of evaluation adnexal mass have also been proposed. Risk of malignancy index (RMI) is a combined parameter which is simple, preclinical and highly sensitive, and more specific. Risk of malignancy index 4 (RMI 4) is calculated as a product of ultrasound score (U)×menopausal score (M)×CA 125×tumor size. Objective of this study was to determine if the RMI (RMI 4) can distinguish between benign and malignant adnexal masses.Methods: A prospective study was conducted on 30 women with an adnexal mass presenting in the OPD and emergency and RMI-4 calculated. Cut off level of 450 was set to differentiate between benign and malignant mass.Results: In this study, the value of RMI-4 is less than 450 in 17 patients with benign disease and 3 patients with malignant disease. The value is more than 450 in 2 patients with benign disease and 8 patients with malignant disease. RMI-4 >450 had a sensitivity of 72.73% and specificity is 89.47%. The positive predictive value is 80% and negative predictive value is 85%. The p-value for RMI-4 in this study is 0.001 which is highly significant.Conclusions: RMI is a reliable, simple, easy to use and cost-effective method in differentiating benign from malignant adnexal masses.


Author(s):  
Beenish Yousseff ◽  
Mariya Amin Qurieshi ◽  
Nadiya Yousseff

Background: Risk of malignancy index (RMI) is widely employed in the developed world in predicting malignant pelvic masses. The present study designed to confirm the effectiveness of the RMI to identify cases with high potential of ovarian malignancy, among patients with an adnexal mass.Methods: This was a cross-sectional study was conducted over a period of two years in a government run tertiary healthcare centre of Srinagar, Kashmir, Jammu and Kashmir, India. Study included 72 patients who underwent surgery due to adnexal mass and were evaluated for ovarian malignancy by comparing RMI with histopathological diagnosis. Data collected included demographic characteristics, ultrasound findings, menopausal status, CA125 levels, and histopathological diagnosis. For each patient, RMI was calculated as per the standard formula.Results: Analysis revealed ultrasound score had the highest sensitivity of 72.7%, while an RMI score ≥250 had the highest specificity of 88.5%. The latter also had the highest positive predictive value of 50%, while negative predictive value was highest for an ultrasound score of 3 (94%). The cut off points based on ROC analysis demonstrates significant predictive ability for ovarian cancer for both RMI and CA125 with AUC to the tune of 82.9% and 80.1% respectively.Conclusions: RMI is a simple score system which can be applied directly into clinical practice and might be of value in pre-operative assessment, and hence selecting patients who need surgical team including gynecologic oncologists.


Author(s):  
Sunita Singhal ◽  
Lata Rajoria ◽  
Premlata Mital ◽  
Alka Batar ◽  
Richa Ainani ◽  
...  

Background: Ovarian tumors usually presents as adnexal masses which may be benign or malignant. Accurate and timely diagnosis of an adnexal mass is a challenge for the gynecologists. Currently clinical examination, ultrasonographic assessment and ovarian tumour markers (CA 125, beta hCG, AFP, LDH) are routinely done at our centre to evaluate patients with ovarian tumours. The study was designed to evaluate the ability of RMI 4 to discriminate benign ovarian tumor from malignant ovarian tumor in patients attending Department of Obstetrics and Gynaecology, S.M.S. Medical College, Jaipur.Methods: 200 patients diagnosed to have ovarian tumours were included in the study after obtaining written consent. Ultrasonographic characteristic, menopausal status and serum CA 125 levels were documented preoperatively. Risk of malignancy index 4 was calculated and correlated with histopathological diagnosis.Results: At a cut-off point of 450, RMI 4 had a sensitivity of 67.5% (95% CI: 50.87-81.43%), specificity of 98.75% (95.56-99.85%), positive likelyhood ratio of 54, negative likelyhood ratio of 0.33, a positive predictive value of 93.1%, negative predictive value of 92.4% and diagnostic accuracy of 92.5%.Conclusions: RMI 4 is a simple, cost effective, reliable scoring system that is easily applicable method in primary evaluation of patients with ovarian tumours with a sensitivity of 67.5% and specificity of 98.75%.


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