Simple solutions: creating an educational movement.

BACKGROUND: Ongoing clinical trials are addressing the accuracy and safety of sentinel node biopsy (SNB) in the treatment of breast cancer; however, SNB is already increasingly being used in clinical practice. This study examined the extent and time trends of the use of SNB in stage I and II breast cancer patients. METHODS: Clinical data were collected from stage I and II (tumor size < or =5.0 cm) breast cancer patients (n = 3003) who were treated at five comprehensive cancer centers between July 1, 1997, and December 31, 2000. Axillary surgery was classified as SNB alone, SNB + axillary node dissection (AND), AND alone, or none. Patterns of use of axillary surgery were summarized as the percentage of patients receiving each surgery type. The statistical significance of time trends for the use of SNB alone was analyzed by logistic regression models. All statistical tests were two-sided. RESULTS: Overall, SNB alone was used in 13% of patients, SNB + AND in 22%, AND alone in 59%, and no axillary surgery in 6%. Use of SNB alone was statistically significantly associated with breast-conserving surgery of both smaller (< or =2 cm) and larger tumors (2-5 cm) (P<.001 for both associations). For stage I cancer patients treated with breast-conserving surgery (n = 1763), use of SNB increased statistically significantly over the study period, from 8% in 1997 to 9%, 14%, 15%, 22%, 42%, and 58% for the next six consecutive 6-month time intervals, respectively. After controlling for center, age, and comorbidity, the odds ratio for the use of SNB alone was 2.30 (95% confidence interval = 1.88 to 2.82) for each 6-month interval (P<.001). CONCLUSIONS: Widespread use of SNB outside the clinical trial setting suggests that oncologists at cancer centers in our study have accepted SNB as standard-of-care for the treatment of breast cancer. This acceptance, if it occurs in other cancer centers and community practice, may affect accrual and generalizability of ongoing clinical trials of SNB.

Academic Medical Centers↗

PubMed2003

A methodology and implementation for annotating digital images for context-appropriate use in an academic health care environment.

Use of digital medical images has become common over the last several years, coincident with the release of inexpensive, mega-pixel quality digital cameras and the transition to digital radiology operation by hospitals. One problem that clinicians, medical educators, and basic scientists encounter when handling images is the difficulty of using business and graphic arts commercial-off-the-shelf (COTS) software in multicontext authoring and interactive teaching environments. The authors investigated and developed software-supported methodologies to help clinicians, medical educators, and basic scientists become more efficient and effective in their digital imaging environments. The software that the authors developed provides the ability to annotate images based on a multispecialty methodology for annotation and visual knowledge representation. This annotation methodology is designed by consensus, with contributions from the authors and physicians, medical educators, and basic scientists in the Departments of Radiology, Neurobiology and Anatomy, Dermatology, and Ophthalmology at the University of Utah. The annotation methodology functions as a foundation for creating, using, reusing, and extending dynamic annotations in a context-appropriate, interactive digital environment. The annotation methodology supports the authoring process as well as output and presentation mechanisms. The annotation methodology is the foundation for a Windows implementation that allows annotated elements to be represented as structured eXtensible Markup Language and stored separate from the image(s).

Academic Medical Centers↗