Sunnybrook Health Sciences Centre

About: Sunnybrook Health Sciences Centre is a healthcare organization based out in Toronto, Ontario, Canada. It is known for research contribution in the topics: Population & Medicine. The organization has 7689 authors who have published 15236 publications receiving 523019 citations. The organization is also known as: Sunnybrook.

The quantitative analysis of mammographic densities

Abstract: Quantitative classification of mammographic parenchyma based on radiological assessment has been shown to provide one of the strongest estimates of the risk of developing breast cancer. Existing classification schemes, however, are limited by coarse category scales. In addition, subjectivity can lead to sizeable interobserver and intraobserver variations. Here, the authors propose an interactive thresholding technique applied to digitized film-screen mammograms, which assesses the proportion of the mammographic image representing radiographically dense tissue. Observers viewed images on a CRT display and selected grey-level thresholds from which the breast and regions of dense tissue in the breast were identified. The proportion of radiographic density was then calculated from the image histogram. The technique was evaluated for the mammograms of 30 women and is well correlated (R>0.91, Spearman coefficient) with a six-category subjective classification of radiographic density by radiologists. The technique was found to be very reliable with an intraclass correlation coefficient between observers typically R>0.9. This technique may have a role in routine mammographic analysis for the purpose of assessing risk categories and as a tool in studies of the etiology of breast cancer, in particular for monitoring changes in breast parenchyma during potential preventive interventions.

American Cancer Society Guidelines for Breast Screening With MRI as an Adjunct to Mammography

Abstract: The American Cancer Society (ACS), in 2003, found that nonconventional screening measures such as magnetic resonance imaging (MRI) might be suitable for women at increased risk of breast cancer, but there was not enough evidence to warrant making recommendations. Since then, more information

Measuring shoulder function: a systematic review of four questionnaires.

Abstract: Objective To conduct a systematic review of the quality and content of the psychometric evidence relating to 4 shoulder disability scales: the Disabilities of the Arm, Shoulder, and Hand (DASH) questionnaire, the Shoulder Pain and Disability Index (SPADI), the American Shoulder and Elbow Surgeons (ASES) score, and the Simple Shoulder Test (SST). Methods We conducted a structured search using 3 databases (Medline, CINAHL, EMBase). In total, 71 published primary studies were analyzed. A pair of raters conducted data extraction and critical appraisal using structured tools. A descriptive synthesis was performed. Results Quality ratings of 55% of the studies reviewed reached a level of ≥75%. Most studies suggest that all 4 questionnaires have excellent reliability (intraclass correlation coefficient ≥0.90). The 4 questionnaires are strongly correlated (r >0.70) with each other and with a number of similar indices, and the questionnaires were able to differentiate between different populations and disability levels. The minimal detectable change (MDC) is ∼9.4 for the ASES, 10.5 for the DASH, and 18 for the SPADI; the minimal clinically important difference (MCID) is ∼6.4 for the ASES and 10.2 for the DASH, and ranges between 8 and 13 for the SPADI. MDC and MCID have not been defined for the SST. Conclusion The psychometric properties of the ASES, DASH, and SPADI have been shown to be acceptable for clinical use. Conversely, some properties of the SST still need be evaluated, particularly the absolute errors of measurement. Overall, validation studies have focused on less clinically relevant properties (construct validity or group reliability) than estimates of MDC and MCID.