AIMC Topic: Colorectal Neoplasms

Clear Filters Showing 781 to 790 of 794 articles

Deep Learning Electronic Cleansing for Single- and Dual-Energy CT Colonography.

Radiographics : a review publication of the Radiological Society of North America, Inc
Electronic cleansing (EC) is used for computational removal of residual feces and fluid tagged with an orally administered contrast agent on CT colonographic images to improve the visibility of polyps during virtual endoscopic "fly-through" reading. ...

Predicting Clinical Outcomes in Colorectal Cancer Using Machine Learning.

Studies in health technology and informatics
Using gene markers and other patient features to predict clinical outcomes plays a vital role in enhancing clinical decision making and improving prognostic accuracy. This work uses a large set of colorectal cancer patient data to train predictive mo...

[Cell-Free and Concentrated Ascites Reinfusion Therapy for Malignant Intractable Ascites from Colorectal Cancer].

Gan to kagaku ryoho. Cancer & chemotherapy
Malignant intractable ascites worsens not only patient symptoms but also their daily activities. It often leads to a patient discontinuing or postponing chemotherapy. In the present study, we introduced cell-free and concentrated ascites reinfusion t...

Image-based surrogate biomarkers for molecular subtypes of colorectal cancer.

Bioinformatics (Oxford, England)
MOTIVATION: Whole genome expression profiling of large cohorts of different types of cancer led to the identification of distinct molecular subcategories (subtypes) that may partially explain the observed inter-tumoral heterogeneity. This is also the...

[Risk Evaluation and Prognostic Prediction of Colorectal Cancer in Elderly Patients Over 80 Years of Age].

Gan to kagaku ryoho. Cancer & chemotherapy
This study aimed to investigate risk factors and prognosis ofcolorectal cancer in patients over 80 years ofage. Surgical risk was evaluated by colorectal POSSUM(CR-POSSUM)and prognosis by Glasgow prognostic score(GPS). The analysis included 56 patien...

Colorectal Cancer Staging Using Three Clustering Methods Based on Preoperative Clinical Findings.

Asian Pacific journal of cancer prevention : APJCP
Determination of the colorectal cancer stage is possible only after surgery based on pathology results. However, sometimes this may prove impossible. The aim of the present study was to determine colorectal cancer stage using three clustering methods...

HUMAN DNA QUANTIFICATION IN THE STOOLS OF PATIENTS WITH COLORECTAL CANCER.

Arquivos de gastroenterologia
BACKGROUND: Colorectal cancer is one of the main cause of cancer in the world. Colonoscopy is the best screen method, however the compliance is less than 50%. Quantification of human DNA (hDNA) in the feces may be a possible screen non-invasive metho...

In silico discovery of significant pathways in colorectal cancer metastasis using a two-stage optimisation approach.

IET systems biology
Accurate and reliable modelling of protein-protein interaction networks for complex diseases such as colorectal cancer can help better understand mechanism of diseases and potentially discover new drugs. Different machine learning methods such as emp...