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Grant support

This work was supported by the Spanish Government through the funded projects iVENDIS (DPI2015-65286-R) and HISINVIA (PI17/00894), by the Foundation of the Spanish Society of Digestive Endoscopy (FSEED), by the Secretaria d'Universitats i Recerca de la Generalitat de Catalunya (2014-SGR-1470, 2014-SGR-135, SGR-2017-1669 and SGR-2017-653), and by CERCA Programme/Generalitat de Catalunya.

Analysis of institutional authors

Sánchez-Montes CAuthorCórdova HAuthorCuatrecasas MAuthorRodríguez De Miguel CAuthorGarcés-Durán RAuthorPellise MAuthorLlach JAuthorFernández-Esparrach GCorresponding Author

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February 7, 2019
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Computer-aided prediction of polyp histology on white light colonoscopy using surface pattern analysis

Publicated to:Endoscopy. 51 (3): 261-265 - 2019-03-01 51(3), DOI: 10.1055/a-0732-5250

Authors: Sanchez-Montes, Cristina; Sanchez, Francisco Javier; Bernal, Jorge; Cordova, Henry; Lopez-Ceron, Maria; Cuatrecasas, Miriam; de Miguel, Cristina Rodriguez; Garcia-Rodriguez, Ana; Garces-Duran, Rodrigo; Pellise, Maria; Llach, Josep; Fernandez-Esparrach, Gloria

Affiliations

Banc de Tumors-Biobanc Clínic, IDIBAPS-XBTC, Barcelona, Spain. - Author
Comp Vis Ctr, Barcelona, Spain - Author
Computer Science Department, Universitat Autònoma de Barcelona and Computer Vision Center, Barcelona, Spain. - Author
Endoscopy Unit, Gastroenterology Department, Hospital Clínic, IDIBAPS, CIBEREHD, University of Barcelona, Barcelona, Spain. - Author
IDIBAPS XBTC, Banc Tumors Biobanc Clin, Barcelona, Spain - Author
Pathology Department, Centre de Diagnòstic Biomèdic, Hospital Clínic, IDIBAPS, CIBEREHD, University of Barcelona, Barcelona, Spain. - Author
Univ Autonoma Barcelona, Comp Sci Dept, Barcelona, Spain - Author
Univ Barcelona, CIBEREHD, IDIBAPS, Endoscopy Unit,Gastroenterol Dept,Hosp Clin, Barcelona, Spain - Author
Univ Barcelona, CIBEREHD, IDIBAPS, Pathol Dept,Ctr Diagnost Biomed,Hosp Clin, Barcelona, Spain - Author
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Abstract

?This study aimed to evaluate a new computational histology prediction system based on colorectal polyp textural surface patterns using high definition white light images.?Textural elements (textons) were characterized according to their contrast with respect to the surface, shape, and number of bifurcations, assuming that dysplastic polyps are associated with highly contrasted, large tubular patterns with some degree of bifurcation. Computer-aided diagnosis (CAD) was compared with pathological diagnosis and the diagnosis made by endoscopists using Kudo and Narrow-Band Imaging International Colorectal Endoscopic classifications.?Images of 225 polyps were evaluated (142 dysplastic and 83 nondysplastic). The CAD?system correctly classified 205 polyps (91.1?%): 131/142 dysplastic (92.3?%) and 74/83 (89.2?%) nondysplastic. For the subgroup of 100 diminutive polyps (??5?mm), CAD?correctly classified 87 polyps (87.0?%): 43/50 (86.0?%) dysplastic and 44/50 (88.0 %) nondysplastic. There were no statistically significant differences in polyp histology prediction between the CAD?system and endoscopist assessment.?A computer vision system based on the characterization of the polyp surface in white light accurately predicted colorectal polyp histology.© Georg Thieme Verlag KG Stuttgart · New York.

Keywords

classificationdiagnosislesionsClassificationColonic polypsColonoscopyColorectal-cancerDiagnosisDiagnosis, computer-assistedHumansLesionsNarrow band imagingPredictive value of tests

Quality index

Bibliometric impact. Analysis of the contribution and dissemination channel

The work has been published in the journal Endoscopy due to its progression and the good impact it has achieved in recent years, according to the agency WoS (JCR), it has become a reference in its field. In the year of publication of the work, 2019, it was in position 5/210, thus managing to position itself as a Q1 (Primer Cuartil), in the category Surgery. Notably, the journal is positioned above the 90th percentile.

From a relative perspective, and based on the normalized impact indicator calculated from World Citations provided by WoS (ESI, Clarivate), it yields a value for the citation normalization relative to the expected citation rate of: 1.8. This indicates that, compared to works in the same discipline and in the same year of publication, it ranks as a work cited above average. (source consulted: ESI Nov 14, 2024)

This information is reinforced by other indicators of the same type, which, although dynamic over time and dependent on the set of average global citations at the time of their calculation, consistently position the work at some point among the top 50% most cited in its field:

  • Weighted Average of Normalized Impact by the Scopus agency: 2.26 (source consulted: FECYT Feb 2024)
  • Field Citation Ratio (FCR) from Dimensions: 17.28 (source consulted: Dimensions Jul 2025)

Specifically, and according to different indexing agencies, this work has accumulated citations as of 2025-07-16, the following number of citations:

  • WoS: 48
  • Scopus: 52
  • Europe PMC: 24

Impact and social visibility

From the perspective of influence or social adoption, and based on metrics associated with mentions and interactions provided by agencies specializing in calculating the so-called "Alternative or Social Metrics," we can highlight as of 2025-07-16:

  • The use, from an academic perspective evidenced by the Altmetric agency indicator referring to aggregations made by the personal bibliographic manager Mendeley, gives us a total of: 50.
  • The use of this contribution in bookmarks, code forks, additions to favorite lists for recurrent reading, as well as general views, indicates that someone is using the publication as a basis for their current work. This may be a notable indicator of future more formal and academic citations. This claim is supported by the result of the "Capture" indicator, which yields a total of: 51 (PlumX).

With a more dissemination-oriented intent and targeting more general audiences, we can observe other more global scores such as:

  • The Total Score from Altmetric: 18.75.
  • The number of mentions on the social network X (formerly Twitter): 25 (Altmetric).

Leadership analysis of institutional authors

There is a significant leadership presence as some of the institution’s authors appear as the first or last signer, detailed as follows: First Author (Sanchez Montes, Cristina) and Last Author (Fernández Esparrach, Gloria).

the author responsible for correspondence tasks has been Fernández Esparrach, Gloria.