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Daniel Brickman

Publications and source records attributed to Daniel Brickman.

2 recordsLinked to original sources

Fitting in matters: markers of in-group belonging and academic outcomes.

Minority boys are at risk of academic disengagement. Prior research documents that an aspect of racial-ethnic identity, in-group connection, can buffer against this risk, but that in-group connection is undermined in high-risk neighborhoods. We examined another way that boys may feel connected to the in-group, by looking like in-group members. We hypothesize that physical markers of in-group membership can serve to improve boys' sense of belongingness, thereby facilitating their engagement in school. We tested our model with low-income, high-risk African American (Study 1, n= 102) and Latino (Study 2, n= 66) teens. Hierarchical regression supported our model; dark skin tone was a protective factor (and light skin tone a risk factor) for African American boys, and feeling that one looks Latino was a protective factor (and feeling that one does not look Latino a risk factor) for Latino boys' grades, in-class behavior, and school engagement. Mediational analyses suggest that markers of belongingness have their impact via peer-group choice.

Adolescent↗

Computed tomographic virtual colonoscopy computer-aided polyp detection in a screening population.

BACKGROUND & AIMS: The sensitivity of computed tomographic (CT) virtual colonoscopy (CT colonography) for detecting polyps varies widely in recently reported large clinical trials. Our objective was to determine whether a computer program is as sensitive as optical colonoscopy for the detection of adenomatous colonic polyps on CT virtual colonoscopy. METHODS: The data set was a cohort of 1186 screening patients at 3 medical centers. All patients underwent same-day virtual and optical colonoscopy. Our enhanced gold standard combined segmental unblinded optical colonoscopy and retrospective identification of precise polyp locations. The data were randomized into separate training (n = 394) and test (n = 792) sets for analysis by a computer-aided polyp detection (CAD) program. RESULTS: For the test set, per-polyp and per-patient sensitivities for CAD were both 89.3% (25/28; 95% confidence interval, 71.8%-97.7%) for detecting retrospectively identifiable adenomatous polyps at least 1 cm in size. The false-positive rate was 2.1 (95% confidence interval, 2.0-2.2) false polyps per patient. Both carcinomas were detected by CAD at a false-positive rate of 0.7 per patient; only 1 of 2 was detected by optical colonoscopy before segmental unblinding. At both 8-mm and 10-mm adenoma size thresholds, the per-patient sensitivities of CAD were not significantly different from those of optical colonoscopy before segmental unblinding. CONCLUSIONS: The per-patient sensitivity of CT virtual colonoscopy CAD in an asymptomatic screening population is comparable to that of optical colonoscopy for adenomas > or = 8 mm and is generalizable to new CT virtual colonoscopy data.

Adenomatous Polyps↗