Radiology reporting of obesity: a survey of patient and clinician attitudes.

AIM: To determine whether obesity information obtained via imaging techniques is desirable for clinicians and patients, and to investigate whether it impacts clinical decision-making. MATERIALS AND METHODS: Parallel surveys were designed to assess patient and clinician attitudes to the medical utility and social stigma of reporting obesity on radiology reports performed for other reasons. RESULTS: Where obesity was noted at medical imaging performed for any reason, clinicians and patients strongly agreed that it should be included in the radiology report (5.9 and 5.8, respectively, on a seven-point preference score ranging from strongly disagree [1] to strongly agree [7]). Clinicians and patients indicated a preference for a quantitative report. Clinicians somewhat disagreed and patients disagreed that a radiology report describing obesity would be considered insulting (3 and 2.1, respectively). Clinicians and patients agreed that they would be more likely to discuss overweight/obesity if it was described in a radiology report (5.3 and 6.1 respectively). Clinicians and patients agreed that radiology reports describing obesity would influence future management/behaviour (4.5 and 6.2, respectively). Clinicians strongly disagreed that they would avoid sending patients for scans if obesity was reported (1.3). Patients also disagreed that including such information on a report would result in imaging avoidance (1.9). CONCLUSION: Both clinicians and patients indicate a clear preference for obesity-related information on radiology reports for examinations performed for any reason. Surveyed attitudes suggest including such information is not considered insulting, and is unlikely to result in avoidance of imaging.

Intrinsic multiscale representation using optical flow in the scale-space.

There exists an optical flow in the scale-space if the multiscale representation of an image is viewed as an ordinary image sequence in the time domain. This technique can be used to solve the ill-posed tracking problem in the scale-space.