CV measurement by manual segmentation using built-in automated retinal segmentation software on EDI-SD-OCT is highly reproducible and repeatable and has a very small range of variability.

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Little is known about the role of low health literacy (LHL) among breast surgical oncology patients. We initiated a prospective health literacy assessment to determine the relationship between health literacy and surgical treatment. Among 512 patients, univariate analysis revealed no statistical significance in the relationship of health literacy to breast surgery type, contralateral prophylactic mastectomy, or reconstruction following mastectomy. In a multivariate analysis, women with LHL were less likely to undergo reconstruction (aOR 0.81, 95% CI 0.69-0.94, P value = .006). Tailored interventions are needed to combat disparities in cancer treatment associated with LHL, with focus on reconstruction following mastectomy.

Health literacy is recognized as an integral component of high-quality health care. However, health literacy has been understudied in the context of cancer care delivery and surgical decision making. The goal of this article is to outline a process for implementation of a health literacy screening assessment within the routine practices of an academic breast surgical oncology clinic. The self-reported health literacy assessment is feasible, particularly with integration of the health literacy screen in the electronic health record. The authors' estimated clinic prevalence of low health literacy was 22%, which has numerous implications for communication and shared decision-making processes.
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BACKGROUND To evaluate the impact of scanning density on macular choroidal volume measurement using spectral-domain optical coherence tomography (SD-OCT). METHODS Thirty eyes of normal subjects underwent consecutive raster choroidal scanning protocols using SD-OCT in enhanced-depth imaging mode. Manual choroidal segmentation was performed using the built-in automated retinal segmentation software to obtain five analyses with different inter-scan distances including inter-scan distances of 30 microns, 60 microns, 120 microns, 240 microns, and 480 microns. The built-in software of the device automatically generated the choroidal thickness and volume map in the similar manner as for retinal volume map, using the standardized Early Treatment Diabetic Retinopathy Study (ETDRS) grid. For each raster scan, mean absolute difference and relative difference of mean foveal choroidal thickness (FCT), foveal choroidal volume (FCV) and total macular choroidal volume (TCV) in comparison to “true value” (i.e., 30-micron inter-scan distance) were calculated. RESULTS The maximum relative differences were 10% and 16% for TCV and FCV, respectively. For mean FCT, the maximum absolute difference was 31 microns, and maximum relative difference was 12.7%. No statistically significant differences were found in measurements of mean foveal choroidal thickness (p=0.912) and volume (p=0.944), as well as macular choroidal volume (p=0.912), with varying inter-scan distance. CONCLUSIONS Our study shows that approximately 16 scans over the macula with a inter-scans distance of 480 microns is sufficient to provide clinically relevant and reliable choroidal thickness/volume map. This information could be useful in design of choroidal scanning protocols for future clinical trials.