scholarly journals Risk of malignancy index in ovarian tumour for predicting ovarian malignancy by using Jacob’s score

2017 ◽  
Vol 6 (4) ◽  
pp. 1318
Author(s):  
Rao P. S. ◽  
Bala Reenu ◽  
S. Prajwal
Keyword(s):  
Predictive Value ◽  
Case Fatality ◽  
Ovarian Tumors ◽  
Ca 125 ◽  
Ovarian Malignancy ◽  
Gynecological Malignancy ◽  
Menopausal Women ◽  
Risk Of Malignancy ◽  
Risk Of Malignancy Index ◽  
Post Menopausal

Background: Ovarian malignancy is the most common gynecological malignancy after the cancer of the cervix. A woman's risk at birth of ovarian cancer at some time in her life is 1 % to 1.5% and that of dying from cancer is almost 0.5 %. The most commonly occurring ovarian tumors are of epithelial in origin. It has the highest case-fatality ratio of all gynecological malignancies. Hence the early diagnosis is the most important factor for better prognosis. A clinical evaluation of the patient, followed by ultrasonography and CA-125 is helpful. This study aims to determine the role of Risk of Malignancy Index (Jacob’s RMI) in ovarian tumors for prediction of ovarian malignancy.Methods: This is a prospective cohort study. The present study was carried out at department of OBG, in collaboration with the Departments of Radio diagnosis and Pathology, AHRR, New Delhi. 100 patients meeting the inclusion and exclusion criteria were considered. Detailed clinical history, examination and ultrasonography (Abdomen and pelvis) were done. Estimation of CA125 was done thereafter. Calculated JACOBS RMI score was compared with operative surgical staging and histopathological-cytological examination of the specimen. Data obtained thereafter was analysed using appropriate and relevant statistical software.Results: In present study sensitivity of RMI Score in the pre-menopausal women was 66.7% and in post-menopausal women was 83.3%. Specificity of RMI Score in the pre-menopausal women was 96.3% and in post-menopausal women was 81.8%. The positive predictive value in the pre-menopausal women was 40% and in post-menopausal women was 71.4%. The negative predictive value in the pre-menopausal women was 98.7% and in post-menopausal women was 90%. Diagnostic accuracy in a case of premenopausal women was is 95.2% and 82.4% for postmenopausal women.Conclusions: The present study shows that RMI Score helps in identifying effectively those patients who require Staging Laparotomy and hence referral to Gynecologist Oncologist. Patients with ovarian masses with low risk of malignancy index can be treated by minimal access procedures.

scholarly journals Risk of Malignancy Index Has a Poor Sensitivity in Detecting Borderline Epithelal Tumors and Non-Epithelial Ovarian Tumors

2019 ◽  
pp. 1
Author(s):  
Yasin Durmus ◽  
Mehmet Mutlu Meydanli
Keyword(s):  
Predictive Value ◽  
Ovarian Tumors ◽  
Ca 125 ◽  
Histopathological Diagnosis ◽  
Adnexal Masses ◽  
Epithelial Tumors ◽  
Ovarian Cancers ◽  
Risk Of Malignancy ◽  
Risk Of Malignancy Index ◽  
The Difference

<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>

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

Evaluation of Adnexal Masses-Correlation of Clinical, Sonological and Histological Findings in Adnexal Masses

2020 ◽  
Vol 22 (4) ◽  
pp. 199-202
Author(s):  
Manisha Acharya ◽  
P Kumar ◽  
BB Shrestha ◽  
S Shrestha ◽  
R Amatya ◽  
...  
Keyword(s):  
Predictive Value ◽  
Adnexal Mass ◽  
Diagnostic Value ◽  
Mean Value ◽  
Ca 125 ◽  
Histopathological Diagnosis ◽  
Adnexal Masses ◽  
Risk Of Malignancy ◽  
Risk Of Malignancy Index ◽  
Clinical Records

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.

scholarly journals Сравнительная оценка алгоритмов дифференциальной диагностики образований яичников (ROMA, RMI)

2020 ◽  
pp. 48-59
Keyword(s):  
Tumor Markers ◽  
Ovarian Tumors ◽  
Ovarian Malignancy ◽  
Risk Of Malignancy ◽  
Risk Of Malignancy Index

Цель настоящего исследования - сравнение эффективности алгоритмов ROMA и RMI в прогнозировании злокачественного характера образований яичников. Проведено обследование 188 женщин с одно- или двусторонними образованиями яичников. У 126 (67,0%) пациенток были выявлены доброкачественные образования яичников (первая группа), у 62 (33,0%) - злокачественные (вторая группа). У всех пациенток диагноз был верифицирован по результатам морфологического исследования послеоперационного материала. В первой группе в подгруппе менопаузы было 78 из 126 (61,9%) пациенток, во второй группе - 48 из 62 (77,4%) (P 0,05). При сравнении пациенток с доброкачественными и злокачественными образованиями яичников получены достоверные различия по показателям ROMA и RMI в группах и подгруппах сравнения (P 0,05). Показатель RMI обладает более высокими показателями диагностической эффективности по сравнению с показателем ROMA (AUC, чувствительность и специфичность соответствуют 0,93, 85,5% и 96,8% против 0,89, 87,1% и 83,3% соответственно). Показатель RMI может быть рекомендован в качестве начального этапа дифференциально-диагностического поиска у пациенток с образованиями яичников. Ключевые слова: ультразвуковая диагностика, злокачественные опухоли яичников, онкомаркеры, CA125, HE4, алгоритм расчета риска злокачественного образования яичников (ROMA), индекс риска злокачественности (RMI), ultrasound, malignant ovarian tumors, tumor markers, CA125, HE4, risk of ovarian malignancy algorithm (ROMA), risk of malignancy index (RMI)

scholarly journals International Ovarian Tumor Analysis (IOTA) Scoring System to Predict Ovarian Malignancy Preoperatively

2016 ◽  
Author(s):  
Yuri Feharsal ◽  
Andi D Putra
Keyword(s):  
Predictive Value ◽  
Ovarian Tumor ◽  
Diagnostic Performance ◽  
Ca 125 ◽  
Ovarian Malignancy ◽  
Scoring Method ◽  
Simple Rules ◽  
Histopathology Result ◽  
Risk Of Malignancy ◽  
Sensitivity Specificity

Objective: To compare diagnostic performance of International Ovarian Tumor Analysis (IOTA) scoring method with Risk of Malignancy Index-4 (RMI-4) and Sassone Morphology Index to predict ovarian malignancy preoperatively. Method: Retrospective study with 119 subject who underwent surgical removal of ovarian tumor and performed histopathological examination at Dr. Cipto Mangunkusumo Hospital on January to December 2013. Demographic status, ultrasound scans, CA-125 level and histopathological result were collected to calculate the score of each method. Sensitivity, specificity, positive predictive value, negative predictive value and accuracy were calculated by comparing each score with histopathology result. Comparison of diagnostic performance was analyzed by ROC curve. Result: There were 51.26% subjects with benign tumor and 48.74% subjects with malignant tumor. Result was analyzed with sensitivity test (IOTA simple-rules, IOTA subgroup, RMI-4 and Sassone): 98%, 88%, 86% and 79%; specificity: 74%, 67%, 61% and 89%; positive predictive value: 78%, 72%, 68% and 87%; negative predictive value: 98%, 85%, 82% and 81%; and accuracy: 86%, 77%, 73% and 84%. AUC value for IOTA simple-rules, IOTA subgroup, RMI-4 and Sassone were: 0.86, 0.78, 0.73 and 0.84. Comparison of these results were significant with p = 0.000. Conclusion: IOTA simple-rules had better sensitivity, negative predictive value and accuracy than IOTA subgroup, RMI-4 and Sassone morphology index to predict ovarian malignancy preoperatively. [Indones J Obstet Gynecol 2016; 1: 42-46] Keywords: iota, ovarian neoplasm, risk of malignancy, scoring

scholarly journals Comparison of ovarian crescent sign and risk of malignancy index for prediction of ovarian malignancy in adnexal masses

2021 ◽  
Vol 10 (2) ◽  
pp. 541
Author(s):  
Abha Sharma ◽  
Richa Sharma ◽  
Ashita Gulati
Keyword(s):  
Negative Predictive Value ◽  
Predictive Value ◽  
Early Stage ◽  
Menopausal Status ◽  
Ovarian Malignancy ◽  
Adnexal Masses ◽  
Crescent Sign ◽  
Risk Of Malignancy ◽  
Risk Of Malignancy Index ◽  
Mass Size

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.

scholarly journals Role of risk of malignancy index 4 in evaluation of adnexal masses

2020 ◽  
Vol 9 (9) ◽  
pp. 3818
Author(s):  
Amarjeet Kaur ◽  
Sujata Sharma ◽  
Sohan Singh
Keyword(s):  
Predictive Value ◽  
Malignant Disease ◽  
Adnexal Mass ◽  
Cost Effective ◽  
Benign Disease ◽  
Ca 125 ◽  
P Value ◽  
Adnexal Masses ◽  
Risk Of Malignancy ◽  
Risk Of Malignancy Index

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.

scholarly journals Role of risk of malignancy index for evaluation and preoperative detection of pelvic malignancies compared with pathological diagnosis

2020 ◽  
Vol 9 (9) ◽  
pp. 3611
Author(s):  
Beenish Yousseff ◽  
Mariya Amin Qurieshi ◽  
Nadiya Yousseff
Keyword(s):  
Predictive Value ◽  
Menopausal Status ◽  
Histopathological Diagnosis ◽  
Ovarian Malignancy ◽  
Cross Sectional ◽  
Jammu And Kashmir ◽  
Pelvic Malignancies ◽  
Risk Of Malignancy ◽  
Risk Of Malignancy Index ◽  
Ultrasound Score

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.

scholarly journals Risk of malignancy index 4 in preoperative evaluation of patients with ovarian tumours

2018 ◽  
Vol 7 (6) ◽  
pp. 2467
Author(s):  
Sunita Singhal ◽  
Lata Rajoria ◽  
Premlata Mital ◽  
Alka Batar ◽  
Richa Ainani ◽  
...  
Keyword(s):  
Predictive Value ◽  
Ovarian Tumor ◽  
Preoperative Evaluation ◽  
Menopausal Status ◽  
Ovarian Tumour ◽  
Ca 125 ◽  
Benign Ovarian Tumor ◽  
Ovarian Tumours ◽  
Risk Of Malignancy ◽  
Risk Of Malignancy Index

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%.

External validation of Risk of Malignancy Index compared to IOTA Simple Rules

2020 ◽  
pp. 028418512093399
Author(s):  
Esmee E Mulder ◽  
Malou E Gelderblom ◽  
Dick Schoot ◽  
Tineke FM Vergeldt ◽  
Donna L Nijssen ◽  
...  
Keyword(s):  
Cohort Study ◽  
Ovarian Tumor ◽  
External Validation ◽  
Ovarian Tumors ◽  
Ca 125 ◽  
Diagnostic Model ◽  
Histopathological Diagnosis ◽  
Simple Rules ◽  
Risk Of Malignancy ◽  
Risk Of Malignancy Index

Background Mathematical predictive models for ovarian tumors have an advantage over subjective assessment due to their relative simplicity, and therefore usefulness for less experienced sonographers. It is currently unclear which predictive model is best at predicting the nature of an ovarian tumor. Purpose To compare the diagnostic predictive accuracy of the International Ovarian Tumour Analysis Simple Rules (IOTA SR) with Risk of Malignancy Index (RMI), to differentiate between benign and malignant ovarian tumors. Material and Methods A total of 202 women diagnosed with ovarian tumor(s) were included. Preoperatively, patients were examined through transvaginal ultrasonography and CA-125 (U/mL) levels were measured. RMI and IOTA SR were determined, and where possible compared to definitive histopathological diagnosis. Results Of the 202 women with ovarian tumors, 168 women were included in this cohort study. Of these tumors, 118 (70.2%) were benign, 17 (10.1%) were borderline, and 33 (19.7%) were malignant. The sensitivity, specificity, and area under the curve for the RMI were 72.0%, 90.7%, and 0.896, respectively. For the IOTA SR, these were 90.0%, 68.6%, and 0.793, respectively. Conclusion This cohort study shows that the RMI is a relatively useful diagnostic model in characterizing ovarian tumors, compared to the IOTA SR. However, due to the relatively low sensitivity of the RMI and high rate of inconclusive results of the IOTA SR, both diagnostic tests do not seem discriminative enough. Therefore, alternative diagnostic models are necessary.

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