scholarly journals OP07.08: A preliminary comparison of the IOTA simple rules with the risk of malignancy index RMI-2 for the evaluation of adnexal masses within a Canadian tertiary care centre

2015 ◽  
Vol 46 ◽  
pp. 73-73
Author(s):  
F. Moretti ◽  
A. Meija ◽  
Z.M. Ferraro ◽  
T. Zhang ◽  
J. Brown-Broderick ◽  
...  
Keyword(s):  
Tertiary Care ◽  
Care Centre ◽  
Tertiary Care Centre ◽  
Adnexal Masses ◽  
Preliminary Comparison ◽  
Simple Rules ◽  
Risk Of Malignancy ◽  
Risk Of Malignancy Index

Comparison of the diagnostic performances of the Assessment of Different NEoplasias in the adneXa model, Simple Rules model, and Risk of Malignancy Index for adnexal masses in a gynecological oncology centre  in China

2020 ◽  
Author(s):  
Le Qian ◽  
Qinwen Du ◽  
Meijiao Jiang ◽  
Fei Yuan ◽  
Hui Chen ◽  
...  
Keyword(s):  
Prediction Models ◽  
Roc Curves ◽  
Chinese Patients ◽  
Malignant Tumours ◽  
Likelihood Ratios ◽  
Predictive Values ◽  
Adnexal Masses ◽  
Simple Rules ◽  
Risk Of Malignancy ◽  
Risk Of Malignancy Index

Abstract Background This study aimed to compare different ultrasound-based International Ovarian Tumor Analysis (IOTA) prediction models, namely, the Simple Rules (SRs) the Assessment of Different NEoplasias in the adneXa (ADNEX) models, and the Risk of Malignancy Index (RMI), for the pre-operative diagnosis of adnexal mass. Methods This single-centre, retrospective study of diagnostic accuracy involved 486 patients. All ultrasound examinations were analyzed and the prediction models were applied. Pathology was the clinical reference standard. The diagnostic performances of prediction models were measured by evaluating receiver-operating characteristic (ROC) curves, sensitivities, specificities, positive and negative predictive values, positive and negative likelihood ratios, and diagnostic odds ratios. Results To discriminate benign and malignant tumours, areas under the ROC curves (AUCs) for ADNEX models were 0.94 (95% CI: 0.92–0.96) with CA125 and 0.94 (95% CI: 0.91–0.96) without CA125, which were significantly higher than the AUCs for RMI I-III: 0.87 (95% CI: 0.83–0.90), 0.83 (95% CI: 0.80–0.86), and 0.82 (95% CI: 0.78–0.86), (all P < 0.0001). At a cut-off of 10%, the ADNEX model with CA125 had the highest sensitivity (0.93; 95% CI: 0.87–0.97) compared with the other models. The SRs model achieved a sensitivity of 0.93 (95% CI: 0.86–0.97) and a specificity of 0.86 (95% CI: 0.82–0.89) when inconclusive diagnoses (11.7%) were classified as malignant. Conclusion ADNEX and SRs models were excellent at characterising adnexal masses which were superior to the RMI in Chinese patients.

Comparison of the diagnostic accuracy of International Ovarian Tumor Analysis simple rules and the risk of malignancy index to discriminate between benign and malignant adnexal masses

2019 ◽  
Vol 146 (3) ◽  
pp. 364-369 ◽  
Author(s):  
Rapeepat Auekitrungrueng ◽  
Dangcheewan Tinnangwattana ◽  
Charuwan Tantipalakorn ◽  
Cholaros Charoenratana ◽  
Thitikarn Lerthiranwong ◽  
...  
Keyword(s):  
Diagnostic Accuracy ◽  
Ovarian Tumor ◽  
Adnexal Masses ◽  
Simple Rules ◽  
Risk Of Malignancy ◽  
Risk Of Malignancy Index

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.

Abstract #1100: Tumor Induced Osteomalacia: Clinical; Biochemical and Radiological Features from a Single Tertiary Care Centre with Emphasis on Functional Imaging.

2017 ◽  
Vol 23 ◽  
pp. 289
Author(s):  
Vineet Surana ◽  
Rajesh Khadgawat ◽  
Nikhil Tandon ◽  
Chandrashekhar Bal ◽  
Kandasamy Devasenathipathy
Keyword(s):  
Functional Imaging ◽  
Tertiary Care ◽  
Care Centre ◽  
Tertiary Care Centre ◽  
Radiological Features

Emerging Antimicrobial Resistance Among Methicillin Resistant Staphylococcus Aureus (MRSA) in a Tertiary Care Centre in North India

JMS SKIMS ◽  
2020 ◽  
Vol 23 (1) ◽  
pp. 48-49
Author(s):  
Javaid Ahmad Bhat ◽  
Shariq Rashid Masoodi
Keyword(s):  
Staphylococcus Aureus ◽  
Antimicrobial Resistance ◽  
Tertiary Care ◽  
Resistance Mechanisms ◽  
North India ◽  
Global Public Health ◽  
Care Centre ◽  
Tertiary Care Centre ◽  
Effective Prevention ◽  
Mupirocin Resistance

Apropos to the article by Dr Bali, titled “Mupirocin resistance in clinical isolates of methicillin-sensitive and resistant Staphylococcus aureus in a tertiary care centre of North India” (1), the authors have raised important issue of emerging antimicrobial resistance (AMR). Antimicrobial resistance is an increasingly serious threat to global public health that requires action across all government sectors and society. As per WHO, AMR lurks the effective prevention and management of an ever-increasing spectrum of infections caused by bacteria, parasites, fungi and viruses. Novel resistance mechanisms are emerging and spreading globally, threatening the man’s ability to treat common infectious diseases.

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