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NCT03746171: BIRD
Blue Light Imaging (BLI) for Optical Diagnosis of Colorectal Polyps
trial testing Colonic polyp characterization by BLI in Colonic Polyp in 324 participants. Completed in 30 October 2019.
30 September 2019
Quick facts
| Lead sponsor | Valduce Hospital |
|---|---|
| Status | Completed |
| Study type | OBSERVATIONAL |
| Enrollment | 324 |
| Start date | 1 January 2019 |
| Primary completion | 30 September 2019 |
| Estimated completion | 30 October 2019 |
| Sites | 1 location across Italy |
Drugs / interventions tested
- Colonic polyp characterization by BLI
Conditions studied
- Colonic Polyp — all drugs for Colonic Polyp →
Sponsor
Valduce Hospital
Who can join
Adults 18 to 80, any sex, with Colonic Polyp. Patients with the condition only — healthy volunteers not accepted.
Sponsor's own description
Several imaging technologies have been developed in order to enable the endoscopists to differentiate neoplastic from non-neoplastic lesions. The real-time prediction of polyps histology is clinically relevant as diminutive polyps represent the majority of polyps detected during colonoscopy and have a very low risk of harboring advanced histology or invasive carcinoma. Thus, an optical diagnosis would allow diminutive polyps to be resected and discarded without pathological assessment or left in place without resection, with an enormous cost-saving potential. Recently, the American Society of Gastrointestinal Endoscopy (ASGE) has set the Preservation and Incorporation of Valuable endoscopic Innovation (PIVI) which defined accuracy threshold to be met, in order to consider a new technology ready to be incorporate into clinical practice. Blue Light Imaging (BLI) is a new chromoendoscopy technology integrated in the latest generation ELUXEOTM 7000 endoscopy platform (Fujifilm Co, Tokyo, Japan), based on the direct (i.e. not filtered) emission of blue light with short wavelength (410nm), that enhances visibility of both microvascular and superficial mucosal pattern. In a recent randomized trial BLI was superior to high-definition white light (HDWL) in the real time characterization of subcentimetric and diminutive colonic polyps. Nevertheless, in this study the paucity of diminutive rectosigmoid polyps analyzed does not allow to draw definite conclusions as the meeting of PIVI thresholds are concerned. Similarly, the low numbers of patients evaluated limited the per-patient analysis. Therefore further studies adequately powered to this clinically end-point were advocated. Additionally, when the study was performed a BLI dedicated classification for optical diagnosis of colonic polyps was not available, whereas recently a specific classification (the BLI Adenoma Serrated International Classification-BASIC) has been developed and a specific training set has been settled. In the present study the investigators prospectively evaluate whether the use of BLI-assisted optical characterization of diminutive polyps using BASIC classification by specifically trained endoscopists may met PIVI thresholds and particularly if it allow the endoscopists to achieve \> 90% correct assignment of post-polypectomy surveillance intervals when combined with the histopathology assessment of polyps \>5 mm in size.
Publications & conference data
1 peer-reviewed publication reference this trial (live from Europe PMC):
-
Clinical Validation of BASIC Classification for the Resect and Discard Strategy for Diminutive Colorectal Polyps.
Rondonotti E, Hassan C, Andrealli A, Paggi S, et al · · 2020 · cited 15× · PMID 31923641 · DOI 10.1016/j.cgh.2019.12.028
Verify or expand the search:
- PubMed search for NCT03746171
- Europe PMC full search
- ASCO Meeting Library
- ESMO Meeting Library
- bioRxiv preprints
- medRxiv preprints
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Related trials
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Currently open trials in the same condition.
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- NCT06483503 — Extra Wide Field of View Lens Study · active not recruiting
- NCT06077435 — Comparative Analysis of AI Software for Enhanced Polyp Detection and Diagnosis · NA · recruiting
Other Valduce Hospital trials
Trials by the same sponsor.
- NCT05829447 — Combining Artificial Intelligence With Balloon Mucosal Exposure Device for Polyp Detection in Screening Individuals · NA · completed
- NCT05492656 — Accuracy of CADx System for White Light Colonic Polyp Characterization · completed
- NCT04691401 — Impact of Artificial Intelligence (AI) on Adenoma Detection During Colonoscopy in FIT+ Patients. · NA · completed
- NCT04607083 — Impact of Computer-aided Optical Diagnosis (CAD) in Predicting Histology of Diminutive Rectosigmoid Polyps: a Multicente · completed
- NCT04364412 — Acute Lower gastroIntestinal BleedIng (ALIBI Study) in Italy · completed
Verify against primary sources
- ClinicalTrials.gov — authoritative US registry record
- WHO ICTRP — international registry index
- EU Clinical Trials Register
- Sponsor press releases (Google)
- Trial protocol + status: ClinicalTrials.gov NCT03746171 (US National Library of Medicine, public domain)
- Publications: Europe PMC API search by NCT ID, retrieved 9 June 2026
- Drug + disease cross-links: matched in real time against Drug Landscape's normalised drug + company + condition tables
- Sponsor: as reported to ClinicalTrials.gov by Valduce Hospital
- Last refreshed: 19 May 2020
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