The DOI matches its Crossref record; 1 of the 1 references it cites were found in a registry or an index.
Development and validation of the WASP classification system for optical diagnosis of adenomas, hyperplastic polyps and sessile serrated adenomas/polyps
Open accessAbstract
Objective: Accurate endoscopic differentiation would enable to resect and discard small and diminutive colonic lesions, thereby increasing cost-efficiency. Current classification systems based on narrow band imaging (NBI), however, do not include neoplastic sessile serrated adenomas/polyps (SSA/Ps). We aimed to develop and validate a new classification system for endoscopic differentiation of adenomas, hyperplastic polyps and SSA/Ps <10 mm. Design: We developed the Workgroup serrAted polypS and Polyposis (WASP) classification, combining the NBI International Colorectal Endoscopic classification and criteria for differentiation of SSA/Ps in a stepwise approach. Ten consultant gastroenterologists predicted polyp histology, including levels of confidence, based on the endoscopic aspect of 45 polyps, before and after participation in training in the WASP classification. After 6 months, the same endoscopists predicted polyp histology of a new set of 50 polyps, with a ratio of lesions comparable to daily practice. Results: The accuracy of optical diagnosis was 0.63 (95% CI 0.54 to 0.71) at baseline, which improved to 0.79 (95% CI 0.72 to 0.86, p<0.001) after training. For polyps diagnosed with high confidence the accuracy was 0.73 (95% CI 0.64 to 0.82), which improved to 0.87 (95% CI 0.80 to 0.95, p<0.01). The accuracy of optical diagnosis after 6 months was 0.76 (95% CI 0.72 to 0.80), increasing to 0.84 (95% CI 0.81 to 0.88) considering high confidence diagnosis. The combined negative predictive value with high confidence of diminutive neoplastic lesions (adenomas and SSA/Ps together) was 0.91 (95% CI 0.83 to 0.96). Conclusions: We developed and validated the first integrative classification method for endoscopic differentiation of small and diminutive adenomas, hyperplastic polyps and SSA/Ps. In a still image evaluation setting, introduction of the WASP classification significantly improved the accuracy of optical diagnosis overall as well as SSA/P in particular, which proved to be sustainable after 6 months.
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cites
De Sousa E Melo, F., Wang, X., Jansen, M., Fessler, E., Trinh, A., de Rooij, L. P. M. H., de Jong, J. H., de Boer, O. J., van Leersum, R., Bijlsma, M. F., et al. (2013) · Nature Medicine · doi:10.1038/nm.3174 · Cited by 771
Self-citation
Cited by
Byrne, M. F., Chapados, N., Soudan, F., Oertel, C., Linares Pérez, M., Kelly, R., Iqbal, N., Chandelier, F., & Rex, D. K. (2019) · Gut · doi:10.1136/gutjnl-2017-314547 · Cited by 635
Barua, I., Vinsard, D. G., Jodal, H. C., Løberg, M., Kalager, M., Holme, Ø., Misawa, M., Bretthauer, M., & Mori, Y. (2021) · Endoscopy · doi:10.1055/a-1201-7165 · Cited by 271
Colonoscopy screening and surveillance guidelines
Saito, Y., Oka, S., Kawamura, T., Shimoda, R., Sekiguchi, M., Tamai, N., Hotta, K., Matsuda, T., Misawa, M., Tanaka, S., et al. (2021) · Digestive Endoscopy · doi:10.1111/den.13972 · Cited by 170
Diagnostic evaluation of a deep learning model for optical diagnosis of colorectal cancer
Zhou, D., Tian, F., Tian, X., Sun, L., Huang, X., Zhao, F., Zhou, N., Chen, Z., Zhang, Q., Yang, M., et al. (2020) · Nature Communications · doi:10.1038/s41467-020-16777-6 · Cited by 123
Self-citationReal-Time Artificial Intelligence–Based Optical Diagnosis of Neoplastic Polyps during Colonoscopy
Barua, I., Wieszczy, P., Kudo, S.-E., Misawa, M., Holme, Ø., Gulati, S., Williams, S., Mori, K., Itoh, H., Takishima, K., et al. (2022) · NEJM Evidence · doi:10.1056/evidoa2200003 · Cited by 119
Metadata
- Authors
- IJspeert, J. E. G., Bastiaansen, B. A. J., van Leerdam, M. E., Meijer, G. A., van Eeden, S., Sanduleanu, S., Schoon, E. J., Bisseling, T. M., Spaander, M. C., van Lelyveld, N., Bargeman, M., Wang, J., Dekker, E., & (WASP), D. W. S. P. &. P.
- Venue
- Gut
- Publisher
- BMJ
- Published
- 2015-03-09
- Volume
- 65
- Issue
- 6
- Pages
- 963-970
- ISSN
- 0017-5749 (ISSN-L)
- 1468-3288
- OpenAlex
- W2141252957
- Cited by
- 277
- References
- 1
- FWCI
- 8.71
- Type
- journal article
- Language
- en
- Open access
- green
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review
How to cite
Cite CoChat for the checks on this page, and the paper for its own findings.
- This page
- CoChat. (2026). Citation check: Development and validation of the WASP classification system for optical diagnosis of adenomas, hyperplastic polyps and sessile serrated adenomas/polyps. https://app.cochat.ai/papers/10.1136/gutjnl-2014-308411
- The paper
- IJspeert, J. E. G., Bastiaansen, B. A. J., van Leerdam, M. E., Meijer, G. A., van Eeden, S., Sanduleanu, S., Schoon, E. J., Bisseling, T. M., Spaander, M. C., van Lelyveld, N., Bargeman, M., Wang, J., Dekker, E., & (WASP), D. W. S. P. &. P. (2016). Development and validation of the WASP classification system for optical diagnosis of adenomas, hyperplastic polyps and sessile serrated adenomas/polyps. Gut. https://doi.org/10.1136/gutjnl-2014-308411
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.