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Role of Computed Tomography in Evaluation of Different Causes of Intestinal Obstruction Correlated With Operative Findings

Role of Computed Tomography in Evaluation of Different Causes of Intestinal Obstruction Correlated With Operative Findings

Status
UNKNOWN
Phases
Unknown
Study type
Observational
Source
ClinicalTrials.gov
Registry ID
NCT05117645
Enrollment
50
Registered
2021-11-11
Start date
2021-12-31
Completion date
2022-06-30
Last updated
2021-11-11

For informational purposes only — not medical advice. Sourced from public registries and may not reflect the latest updates. Terms

Conditions

Intestinal Obstruction

Brief summary

Intestinal obstruction is a common clinical problem that occurs secondary to mechanical or functional obstruction of the intestine, preventing normal transit of its contents. It is a frequent cause of hospitalization and represents 15-20% of surgical admissions for acute abdominal pain . The underlying aetiology of large bowel obstructions (LBOs) is age dependent, but in adulthood, the most common cause is colonic cancer (50-60%), typically in the sigmoid. The second most common cause in adults is acute diverticulitis (involving the sigmoid colon). Together, obstructing tumors and acute diverticulitis account for 90% of all causes of LBO. Adhesions are the most common cause of small bowel obstruction (SBO) , For practical purposes, they do not tend to cause LBO.Other causes which cause symptoms that are mimic intestinal obstruction as in bowel ischemia that mainly caused by mesenteric vessels occlusion (adynamic obstruction). Computed tomography (CT) has become a mainstay in diagnosing bowel obstruction. This is because the management of obstruction has dramatically changed with a decrease in the proportion of patients who need surgery Multi Detector Computed Tomography scanners provide a huge gain in performance that can be used to reduce the scan time, reduce section collimation, or to increase scan length surgery. Diagnosis of intestinal obstruction is established by patient history and clinical findings include abdominal distension, acute abdominal pain, vomiting and inability to pass stools or flatus . The role of CT in diagnosing intestinal obstruction has been expanding by determining presence, degree, level and cause (extrinsic lesions, intrinsic lesions, intussusception, intraluminal lesions) of obstruction and in identifying any associated strangulation, and also it has an important role in diagnosing the mesenteric vessels obstruction by thrombi by injection of IV contrast media which causes adynamic bowel obstruction .

Interventions

DIAGNOSTIC_TESTComputed tomography

All patients will be examined by multislice CT scanner,Light speed 5X GE 8 detector elements scanner or GE Revolution Evo 128 multidetector elements scanner (GE Healthcare, Chicago, Illinois, United state) or Toshibe Alexion 16 detector elements scanner (Aplio 500, Toshiba Medical Systems, Otawara-shi, Tochigi 324-8550, Japan). Axial scanns will be done commences at 1 cm above the diaphragm and ending at lesser trochanters then coronal and sagittal reconstruction images will be exposed.

Sponsors

Sohag University
Lead SponsorOTHER

Study design

Observational model
COHORT
Time perspective
PROSPECTIVE

Eligibility

Sex/Gender
FEMALE
Age
1 Years to No maximum

Inclusion criteria

* Any age group and gender presented by manifestations of acute intestinal obstruction.

Exclusion criteria

* Pregnant women.

Design outcomes

Primary

MeasureTime frameDescription
Emphasization the role of the MDCT in the evaluation of intestinal obstruction.6 monthsPatients complaining of intestinal obstruction will undergo oral preparation according to their condition then will undergo CT abdomen and pelvis , some of them will undergo exploration others will be observed then comparison with operative findings and observation will be done.

Countries

Egypt

Contacts

Primary ContactAlaa N Abd El ghafar, resident
alaa011053@med.sohag.edu.eg01063550892
Backup ContactMohamed Th Solyman, professor

Outcome results

None listed

Source: ClinicalTrials.gov · Data processed: Feb 4, 2026