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Computed Tomography Perfusion Colorectal Cancer With Tumor Grade

A

Assiut University

Status

Unknown

Conditions

Colo-rectal Cancer

Treatments

Radiation: Computed tomography perfusion

Study type

Observational

Funder types

Other

Identifiers

NCT03448302
CTPCRCICWTG

Details and patient eligibility

About

Colorectal cancer is the third most commonly diagnosed cancer in the world. The 5-years survival rate depends on the tumor stage and grade at patient presentation. Individual treatment strategy based on the tumor stage and grade should be applied to improve the prognosis, So the pre-operative diagnostic evaluation and grading of colorectal cancer are important.

Full description

Diagnosis of cancer colon is usually based on colonoscopy which provides direct visualization of the lesions and allows for biopsies. However the pre-operative specimens from endoscopic biopsies sometimes fail to grade tumor because of the lack of sufficient tissue. Recent improvements in computed tomography have allowed for minimally invasive evaluation of cancer colon. Quantitative iodine density measurement can be used to differentiate low and high grade colorectal cancer. However, debate continues regarding the correlation between tumor grade and computed tomography perfusion parameters of colorectal cancer demonstrating the need for further investigation in this area of research.

Enrollment

50 estimated patients

Sex

All

Volunteers

No Healthy Volunteers

Inclusion criteria

  • Any patient with primary colorectal mass

Exclusion criteria

  • Colorectal mass pathologically proved to be benign Female patient at child bearing period with suspected pregnancy Raised renal chemistry Hypersensitivity to contrast.

Trial design

50 participants in 1 patient group

Patients with colorectal adenocarcinoma
Description:
The patients will undergo computed tomography perfusion
Treatment:
Radiation: Computed tomography perfusion

Trial contacts and locations

1

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Central trial contact

Mostafa A El-Sharkawy, MD; Afaf A Hassan, MD

Data sourced from clinicaltrials.gov

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