Sensitivity and Specificity of Ultrasonography Using Ovarian-Adnexal Reporting and Data System Classification Versus Pathology Findings for Ovarian Cancer.

Background One of the limiting factors for early diagnosis of ovarian neoplasms is the lack of standardized terminology for ultrasound. The Ovarian-Adnexal Reporting and Data System (O-RADS) classification aimed to reduce variability between observers and facilitate communication with attending physicians. Recent studies show that O-RADS has higher sensitivity (96.8%) and specificity (92.8%) compared to other classifications. However, to date, there are no reports on O-RADS correlation with pathology findings. Objectives To determine sensitivity and specificity of ultrasound, as a tool for detecting malignant ovarian neoplasms, using the O-RADS compared to pathology reports. Materials and methods We evaluated 73 transvaginal ultrasound records with adnexal masses and applied the O-RADS system. Then, we compared against definitive histopathology diagnosis. We calculated sensitivity and specificity using SPSS. Results O-RADS sensitivity for detection of ovarian cancer was 52%, with a specificity of 84%, negative predictive value of 79%, and positive predictive value of 60%, with an accuracy of 73%. Conclusions In our study, O-RADS classification yielded a higher specificity than sensitivity for malignant vs. benign findings. Hence, we propose that this classification could be useful for tailoring treatment appropriately. O-RADS 0 to 2 may benefit from conservative treatment while O-RADS 3 to 5 may require surgical treatment.

Imaging and diagnostic approach of the adnexal mass: what the oncologist should know.

Early detection and characterization of ovarian lesions is of utmost importance for adequate management. Ovarian cancer accounts for 3.3% of all cancers in women worldwide but has only a 5% of female cancer deaths because of low survival rates. The majority of ovarian lesions are benign and have spontaneous resolution. The adequate discrimination between benign and malignant lesions is the most important starting point for a correct and optimal management. Ultrasound is the method of choice up until now for adequate assessment of adnexal abnormalities, no other method has proven superior. Along time, there has been many classification systems that aim standardization of adnexal masses The Gynecology Imaging Reporting and Data System (GI-RADS), published in 2019. The International Ovarian Tumor Analysis (IOTA) group standardized in 2013 the approach of adnexal pathology descriptions by ultrasound with the limitation of needing pathologic reports for complete assessment. The Ovarian Adnexal Reporting and Data System (O-RADS) is a lexicon designed in 2018 to standardize definitions of characteristics by ultrasound. This system offers an interpretation method to decrease ambiguity and recommends management guides according to its classification.

Computed tomography calcium scoring association and reclassification of clinical cardiovascular risk in asymptomatic Mexican patients.

OBJECTIVES: To establish tailored preventive treatment, we studied the ability of coronary artery calcium scoring to reclassify patients with intermediate cardiovascular risk and its association with additional risk factors in our Mexican preventive care center. MATERIALS AND METHODS: In this retrospective cohort study, we analyzed 520 asymptomatic patients from a Mexican primary prevention population between 2014 and 2018. Coronary artery calcium scoring, laboratory results, and anthropometric measurements (abdominal circumference and body mass index) were assessed. The Framingham risk score and American Heart Association/American College of Cardiology (AHA/ACC) atherosclerotic cardiovascular disease risk algorithm were calculated. Correlations between coronary artery calcium scoring, anthropometric measurements, and clinical cardiovascular risk scores were assessed. We assessed the ability of coronary artery calcium scoring to reclassify patients recommended for statin therapy compared with the cardiovascular risk scores. RESULTS: Patients had a mean age of 67.5 years (SD ± 9.8) and 294 subjects (56.5%) were male. Coronary artery calcium scoring has a positive correlation with age, AHA/ACC atherosclerotic cardiovascular disease risk algorithm, and Framingham risk score (p < 0.001 for all). Coronary artery calcium scoring was prevalent, occurring in 63.2% of patients with a median Agatston score of 22 with and interquartile range of 178. Male gender, older age, smoking habit, diabetes, and abdominal circumference were independent predictors of coronary artery calcium scoring (p < 0.001). Coronary artery calcium scoring downwardly reclassified 44.9% of patients in intermediate cardiovascular risk categories by the AHA/ACC atherosclerotic cardiovascular disease risk algorithm and 43.9% by the Framingham risk score. Coronary artery calcium scoring upwardly reclassified 46.8% of patients in intermediate risk categories by the AHA/ACC atherosclerotic cardiovascular disease risk algorithm and 56% by the Framingham risk score. CONCLUSION: Coronary artery calcium scoring is prevalent in this Mexican primary prevention cohort and has the ability to reclassify a significant percentage of intermediate cardiovascular risk patients.