Results 31 to 40 of about 692,625 (171)

Survival Prediction from Imbalance colorectal cancer dataset using hybrid sampling methods and tree-based classifiers [PDF]

open access: yesarXiv, 2023
Background and Objective: Colorectal cancer is a high mortality cancer. Clinical data analysis plays a crucial role in predicting the survival of colorectal cancer patients, enabling clinicians to make informed treatment decisions. However, utilizing clinical data can be challenging, especially when dealing with imbalanced outcomes.
arxiv  

Fluorouracil and bevacizumab plus anakinra for patients with metastatic colorectal cancer refractory to standard therapies (IRAFU): a single-arm phase 2 study

open access: yesOncoImmunology, 2018
In preclinical models, IL-1β inhibition could enhance the efficacy of fluorouracil (5-FU). In this phase 2 study, we assessed the activity and safety of 5-FU plus bevacizumab and anakinra (an IL-1β and α inhibitor) in patients with metastatic colorectal (
Nicolas Isambert   +12 more
doaj   +1 more source

The improvement of surgical results - the constant necessity in [PDF]

open access: yesMedicinski Glasnik, 2008
Objectives. To indicate cleraly adventages of elective surgery in colorectal diseases as compared toduration of operation, blood consumption, the necessity for intensive care, the length of hospitalizationand mortality related to urgently operated ...
Šefik Hasukić,   +4 more
doaj  

Estimation and Projection of Prevalence of Colorectal Cancer in Iran, 2015–2020

open access: yesAdvanced Biomedical Research, 2018
Background: Population aging and more prevalent westernized lifestyle would be expected to result in a markedly rising burden of colorectal cancer (CRC) in the future years.
Hossein Molavi Vardanjani   +3 more
doaj   +1 more source

Appendicorectal fistula with a novel solution: First case report and review of the literature

open access: yesClinical Case Reports, 2019
Appendicorectal fistula can be a cause of chronic abdominal pain, forming years after an occult episode of appendicitis. It can be diagnosed with Colonoscopy and Magnetic Resonance Imaging, and successfully treated surgically with laparoscopic ...
Shaun McCrystal   +4 more
doaj   +1 more source

Automatic Polyp Segmentation using Fully Convolutional Neural Network [PDF]

open access: yesarXiv, 2021
Colorectal cancer is one of fatal cancer worldwide. Colonoscopy is the standard treatment for examination, localization, and removal of colorectal polyps. However, it has been shown that the miss-rate of colorectal polyps during colonoscopy is between 6 to 27%.
arxiv  

Colorectal Cancer "Methylator Phenotype": Fact or Artifact?

open access: yesNeoplasia: An International Journal for Oncology Research, 2005
It has been proposed that human colorectal tumors can be classified into two groups: one in which methylation is rare, and another with methylation of several loci associated with a "CpG island methylated phenotype (CIMP)," characterized by preferential ...
Charles Anacleto   +9 more
doaj   +1 more source

Identification of collateral sensitivity and evolutionary landscape of chemotherapy-induced drug resistance using cellular barcoding technology

open access: yesFrontiers in Pharmacology, 2023
Background: One of the most significant challenges impeding cancer treatment effectiveness is drug resistance. Combining evolutionary understanding with drug resistance can pave the way for the identification of second-line drug options that can overcome
Nurseda Danisik   +2 more
doaj   +1 more source

Deep Transfer Learning for Texture Classification in Colorectal Cancer Histology [PDF]

open access: yesarXiv, 2020
Microscopic examination of tissues or histopathology is one of the diagnostic procedures for detecting colorectal cancer. The pathologist involved in such an examination usually identifies tissue type based on texture analysis, especially focusing on tumour-stroma ratio.
arxiv  

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