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Predictors of colorectal carcinoma and inflammatory bowel disease in patients with colonic wall thickening

BACKGROUND AND AIM: Colonic wall thickening (CWT) is commonly associated with clinically significant pathologies, but predictive factors of such pathologies are not well known. This study aims to identify the predictors of clinically significant pathologies, such as colorectal carcinoma (CRC) and in...

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Detalles Bibliográficos
Autores principales: Pothoulakis, Ioannis, Wikholm, Colin, Verma, Vipin, Ahmad, Akram I, Vangimalla, Shiva S, Patel, Harshkumar, Oh, Jae H, Zhao, Alex, Gress, Kyle L, Bovill, John, Deshpande, Nikita, Marquez, Maria, Dean, Brynley, Gholson, Dwight A, Bhogal, Loveleen, Buchanan, Faith, Cho, Won Kyoo
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Wiley Publishing Asia Pty Ltd 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8938753/
https://www.ncbi.nlm.nih.gov/pubmed/35355674
http://dx.doi.org/10.1002/jgh3.12708
Descripción
Sumario:BACKGROUND AND AIM: Colonic wall thickening (CWT) is commonly associated with clinically significant pathologies, but predictive factors of such pathologies are not well known. This study aims to identify the predictors of clinically significant pathologies, such as colorectal carcinoma (CRC) and inflammatory bowel disease (IBD), in patients with CWT. METHODS: Subjects with an abnormal abdominal computed tomography (CT) and a follow‐up colonoscopy between 2010 and 2020 were retrospectively reviewed. Patients with CWT in the CT were included and examined in this study. A multivariable logistic regression analysis was performed to assess for factors independently associated with CRC or IBD in these subjects. Receiver operating characteristic (ROC) curve analysis was used to further examine significant parameters in multivariable logistic regression analysis. RESULTS: Among 403 patients with CWT on CT scans who underwent a colonoscopy, 269 subjects who met the inclusion criteria were identified and studied. On multivariable logistic regression models, elevated platelet count, low hematocrit, and localized CWT were found to be independently associated with CRC, while elevated platelet count and younger age were independently associated with IBD. On ROC curve analysis for CRC, area under the curve (AUC) for hematocrit, platelets, and localized CWT was 0.76, 0.75, and 0.61, respectively. On ROC curve analysis for IBD, AUC for age and platelets was 0.90 and 0.69, respectively. CONCLUSION: Elevated platelet count, low hematocrit, and localized CWT can be potentially used as predictors of CRC in patients with CWT. Elevated platelet count and young age can be used to predict IBD in these patients.