Colonoscopy is one of the most important diagnostic tools to assess the structural abnormalities of the large intestine and distal ileum. To date, there is a paucity of data in Pakistan on ...indications and findings of colonoscopy. Therefore, our study aimed to evaluate the indications and endoscopic findings of patients who underwent colonoscopy at a tertiary care hospital in interior Sindh, Pakistan. This prospective cross-sectional study of 125 patients who underwent lower gastrointestinal endoscopy was conducted in the Endoscopy Unit of LUMHS Civil Hospital Hyderabad / Jamshoro from April 2020 to September 2020. To be eligible participants had to be 14 years or older, of either gender and giving informed consent. Data regarding demographic characteristics, indications, and endoscopic findings were gathered on a pre-designed proforma.
A total of 125 participants were recruited with a mean age of 39 ± 20, out of which 60% were males. Rectal bleeding was the most common indication (70.4%) followed by abdominal pain (9.6%), chronic diarrhea (8%), altered bowel habits (6.4%), constipation (2.4%), post-cancer surveillance (1.6%), weight loss, and anemia (0.8%) each. The most common colonoscopy findings were hemorrhoids (29.6%),and suspected tumor/growth (14.4%), while 22.4% were normal. The most common indication in our study was per rectal bleeding with hemorrhoids as the most common endoscopic finding on colonoscopy.
One-fourth of colorectal neoplasias are missed during screening colonoscopies; these can develop into colorectal cancer (CRC). Deep learning systems allow for real-time computer-aided detection ...(CADe) of polyps with high accuracy. We performed a multicenter, randomized trial to assess the safety and efficacy of a CADe system in detection of colorectal neoplasias during real-time colonoscopy.
We analyzed data from 685 subjects (61.32 ± 10.2 years old; 337 men) undergoing screening colonoscopies for CRC, post-polypectomy surveillance, or workup due to positive results from a fecal immunochemical test or signs or symptoms of CRC, at 3 centers in Italy from September through November 2019. Patients were randomly assigned (1:1) to groups who underwent high-definition colonoscopies with the CADe system or without (controls). The CADe system included an artificial intelligence–based medical device (GI-Genius, Medtronic) trained to process colonoscopy images and superimpose them, in real time, on the endoscopy display a green box over suspected lesions. A minimum withdrawal time of 6 minutes was required. Lesions were collected and histopathology findings were used as the reference standard. The primary outcome was adenoma detection rate (ADR, the percentage of patients with at least 1 histologically proven adenoma or carcinoma). Secondary outcomes were adenomas detected per colonoscopy, non-neoplastic resection rate, and withdrawal time.
The ADR was significantly higher in the CADe group (54.8%) than in the control group (40.4%) (relative risk RR, 1.30; 95% confidence interval CI, 1.14–1.45). Adenomas detected per colonoscopy were significantly higher in the CADe group (mean, 1.07 ±1.54) than in the control group (mean 0.71 ± 1.20) (incidence rate ratio, 1.46; 95% CI, 1.15–1.86). Adenomas 5 mm or smaller were detected in a significantly higher proportion of subjects in the CADe group (33.7%) than in the control group (26.5%; RR, 1.26; 95% CI, 1.01–1.52), as were adenomas of 6 to 9 mm (detected in 10.6% of subjects in the CADe group vs 5.8% in the control group; RR, 1.78; 95% CI, 1.09–2.86), regardless of morphology or location. There was no significant difference between groups in withdrawal time (417 ± 101 seconds for the CADe group vs 435 ± 149 for controls; P = .1) or proportion of subjects with resection of non-neoplastic lesions (26.0% in the CADe group vs 28.7% of controls; RR, 1.00; 95% CI, 0.90–1.12).
In a multicenter, randomized trial, we found that including CADe in real-time colonoscopy significantly increases ADR and adenomas detected per colonoscopy without increasing withdrawal time. ClinicalTrials.gov no: 04079478
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