El diagnóstico histológico de los pólipos colorrectales determina la conducta que tomará el médico especialista con el paciente. Con la aparición de nuevos pólipos en los últimos años, la clasificación histológica se ha tornado más compleja y amplia. Nuestro objetivo es actualizar los conceptos en el diagnóstico histológico de pólipos de colon de una manera clara y de fácil comprensión, especialmente para gastroenterólogos y patólogos.

Following colonoscopic polypectomy, US Multisociety Task Force (USMSTF) guidelines stratify patients based on risk of subsequent advanced neoplasia (AN) using number, size, and histology of resected polyps, but have only moderate sensitivity and specificity. We hypothesized that a state-of-the-art statistical prediction model might improve identification of patients at high risk of future AN and address these challenges. Data were pooled from seven prospective studies which had follow-up ascertainment of metachronous AN within 3-5 years of baseline polypectomy (combined n = 8,228). Pooled data were randomly split into training (n = 5,483) and validation (n = 2,745) sets. A prognostic model was developed using best practices. Two risk cut-points were identified in the training data which achieved a 10 percentage point improvement in sensitivity and specificity, respectively, over current USMSTF guidelines. Clinical benefit of USMSTF versus model-based risk stratification was then estimated using validation data. The final model included polyp location, prior polyp history, patient age, and number, size and histology of resected polyps. The first risk cut-point improved sensitivity but with loss of specificity. The second risk cut-point improved specificity without loss of sensitivity (specificity 46.2 % model vs. 42.1 % guidelines, p < 0.001; sensitivity 75.8 % model vs. 74.0 % guidelines, p = 0.64). Estimated AUC was 65 % (95 % CI: 62-69 %). This model-based approach allows flexibility in trading sensitivity and specificity, which can optimize colonoscopy over- versus underuse rates. Only modest improvements in prognostic power are possible using currently available clinical data. Research considering additional factors such as adenoma detection rate for risk prediction appears warranted.

BACKGROUND: Numerous epidemiologic studies have identified obesity as a vital risk factor for the development of colorectal cancer (CRC). More recently, obesity has been linked to the development of colorectal adenomatous polyps (adenomas), the precursor lesion of up to 80% of CRCs. The extent to which weight loss could reduce risk in obese patients is unclear. PROPOSED PROJECT: The proposed study is a randomized clinical trial that aims to evaluate the relationship between weight reduction and the prevalence of recurrent (metachronous) adenomas among obese patients in a safety-net health care setting. The intervention group will participate in a comprehensive, individually structured weight loss program in order to achieve successful long-term weight loss. The control group will receive no special recommendations about weight loss other than as part of “usual care”. Anthropometric measures (weight in kilograms [kg], height in meters squared [m2] and body mass index [BMI]) will be monitored annually until the time of surveillance colonoscopy which will occur in accordance with the U.S. Multi-Society Task Force recommendations. Statistical methods will be used to compare rates of recurrent adenomas among the two study groups after adjustments for duration of follow-up and potential confounders. CONCLUSION/SIGNIFICANCE: The results of this study will provide new evidence to support weight reduction as a preventive strategy for reducing CRC risk among obese patients.