Literature DB >> 29298873

Multicentre prospective evaluation of real-time optical diagnosis of T1 colorectal cancer in large non-pedunculated colorectal polyps using narrow band imaging (the OPTICAL study).

Yara Backes1, Matthijs P Schwartz2, Frank Ter Borg3, Frank H J Wolfhagen4, John N Groen5, Wouter H de Vos Tot Nederveen Cappel6, Jeroen van Bergeijk7, Joost M J Geesing8, Bernhard W M Spanier9, Paul Didden1, Frank P Vleggaar1, Miangela M Lacle10, Sjoerd G Elias11, Leon M G Moons1.   

Abstract

OBJECTIVE: This study evaluated the preresection accuracy of optical diagnosis of T1 colorectal cancer (CRC) in large non-pedunculated colorectal polyps (LNPCPs).
DESIGN: In this multicentre prospective study, endoscopists predicted the histology during colonoscopy in consecutive patients with LNPCPs using a standardised procedure for optical assessment. The presence of morphological features assessed with white light, and vascular and surface pattern with narrow-band imaging (NBI) were recorded, together with the optical diagnosis, the confidence level of prediction and the recommended treatment. A risk score chart was developed and validated using a multivariable mixed effects binary logistic least absolute shrinkage and selection (LASSO) model.
RESULTS: Among 343 LNPCPs, 47 cancers were found (36 T1 CRCs and 11 ≥T2 CRCs), of which 11 T1 CRCs were superficial invasive T1 CRCs (23.4% of all malignant polyps). Sensitivity and specificity for optical diagnosis of T1 CRC were 78.7% (95% CI 64.3 to 89.3) and 94.2% (95% CI 90.9 to 96.6), and 63.3% (95% CI 43.9 to 80.1) and 99.0% (95% CI 97.1 to 100.0) for optical diagnosis of endoscopically unresectable lesions (ie, ≥T1 CRC with deep invasion), respectively. A LASSO-derived model using white light and NBI features discriminated T1 CRCs from non-invasive polyps with a cross-validation area under the curve (AUC) of 0.85 (95% CI 0.80 to 0.90). This model was validated in a temporal validation set of 100 LNPCPs (AUC of 0.81; 95% CI 0.66 to 0.96).
CONCLUSION: Our study provides insights in the preresection accuracy of optical diagnosis of T1 CRC. Sensitivity is still limited, so further studies will show how the risk score chart could be improved and finally used for clinical decision making with regard to the type of endoresection to be used and whether to proceed to surgery instead of endoscopy. TRIAL REGISTRATION NUMBER: NTR5561. © Article author(s) (or their employer(s) unless otherwise stated in the text of the article) 2019. All rights reserved. No commercial use is permitted unless otherwise expressly granted.

Entities:  

Keywords:  colonoscopy; colorectal adenomas; colorectal cancer; colorectal carcinoma

Mesh:

Year:  2018        PMID: 29298873     DOI: 10.1136/gutjnl-2017-314723

Source DB:  PubMed          Journal:  Gut        ISSN: 0017-5749            Impact factor:   23.059


  4 in total

1.  Practical Perfusion Quantification in Multispectral Endoscopic Video: Using the Minutes after ICG Administration to Assess Tissue Pathology.

Authors:  Jonathan P Epperlein; Mykhaylo Zayats; Seshu Tirupathi; Sergiy Zhuk; Tigran Tchrakian; Pol Mac Aonghusa; Donal F O'Shea; Niall P Hardy; Jeffrey Dalli; Ronan A Cahill
Journal:  AMIA Annu Symp Proc       Date:  2022-02-21

Review 2.  Artificial intelligence-assisted colonoscopy: a narrative review of current data and clinical applications.

Authors:  James Weiquan Li; Lai Mun Wang; Tiing Leong Ang
Journal:  Singapore Med J       Date:  2022-03       Impact factor: 3.331

Review 3.  Colorectal malignant polyps: a modern approach.

Authors:  Sofia Saraiva; Isadora Rosa; Ricardo Fonseca; António Dias Pereira
Journal:  Ann Gastroenterol       Date:  2021-12-06

4.  Suboptimal endoscopic cancer recognition in colorectal lesions in a national bowel screening programme.

Authors:  Jasper L A Vleugels; Lianne Koens; Marcel G W Dijkgraaf; Britt Houwen; Yark Hazewinkel; Paul Fockens; Evelien Dekker
Journal:  Gut       Date:  2019-12-10       Impact factor: 23.059

  4 in total

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