The DOI matches its Crossref record; 60 of the 61 references it cites were found in a registry or an index.
ASGE Technology Committee systematic review and meta-analysis assessing the ASGE PIVI thresholds for adopting real-time endoscopic assessment of the histology of diminutive colorectal polyps
Open accessAbstract
In vivo real-time assessment of the histology of diminutive (≤5 mm) colorectal polyps detected at colonoscopy can be achieved by means of an "optical biopsy" by using currently available endoscopic technologies. This systematic review and meta-analysis was performed by the American Society for Gastrointestinal Endoscopy (ASGE) Technology Committee to specifically assess whether acceptable performance thresholds outlined by an ASGE Preservation and Incorporation of Valuable endoscopic Innovations (PIVI) document for clinical adoption of these technologies have been met. We conducted direct meta-analyses calculating the pooled negative predictive value (NPV) for narrow-band imaging (NBI), i-SCAN, and Fujinon Intelligent Color Enhancement (FICE)-assisted optical biopsy for predicting adenomatous polyp histology of small/diminutive colorectal polyps. We also calculated the pooled percentage agreement with histopathology when assigning postpolypectomy surveillance intervals based on combining real-time optical biopsy of colorectal polyps 5 mm or smaller with histopathologic assessment of polyps larger than 5 mm. Random-effects meta-analysis models were used. Statistical heterogeneity was evaluated by means of I(2) statistics. Our meta-analyses indicate that optical biopsy with NBI, exceeds the NPV threshold for adenomatous polyp histology, supporting a "diagnose-and-leave" strategy for diminutive predicted nonneoplastic polyps in the rectosigmoid colon. The pooled NPV of NBI for adenomatous polyp histology by using the random-effects model was 91% (95% confidence interval [CI], 88-94). This finding was associated with a high degree of heterogeneity (I(2) = 89%). Subgroup analysis indicated that the pooled NPV was greater than 90% for academic medical centers (91.8%; 95% CI, 89-94), for experts (93%; 95% CI, 91-96), and when the optical biopsy assessment was made with high confidence (93%; 95% CI, 90-96). Our meta-analyses also indicate that the agreement in assignment of postpolypectomy surveillance intervals based on optical biopsy with NBI of diminutive colorectal polyps is 90% or greater in academic settings (91%; 95% CI, 86-95), with experienced endoscopists (92%; 95% CI, 88-96) and when optical biopsy assessments are made with high confidence (91%; 95% CI, 88-95). Our systematic review and meta-analysis confirms that the thresholds established by the ASGE PIVI for real-time endoscopic assessment of the histology of diminutive polyps have been met, at least with NBI optical biopsy, with endoscopists who are expert in using this advanced imaging technology and when assessments are made with high confidence.
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.
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
The source backs part of the claim, not all of it — or backs it for a different population, condition or comparison.
In the citing paper
“Previous studies on cadx systems for colonoscopy focused on assessing the performances of ai against the accuracy of physicians19,20,27–30, or against the criteria established by gastroenterology societies for implementing the technology in a clinical setting31–34.”
From Experimental evidence of effective human–AI collaboration in medical decision-making (2022) · cites this paper as [31]
Experimental — accuracy not yet measuredThe source backs part of the claim, not all of it — or backs it for a different population, condition or comparison.
In the citing paper
“Computer-aided diagnosis (CADx) systems based on artificial intelligence (AI) can help endoscopists in the optical diagnosis of colorectal polyps by predicting the histopathology.”
From Appropriate trust in artificial intelligence for the optical diagnosis of colorectal polyps: the role of human/artificial intelligence interaction (2024) · cites this paper as [2]
Experimental — accuracy not yet measuredThe source backs part of the claim, not all of it — or backs it for a different population, condition or comparison.
In the citing paper
“The stand-alone performance of CADx systems and comparisons of CADx performances with thresholds for clinical implementation have been evaluated and show promising results.[1][2][3][4][5][6][7]”
From Appropriate trust in artificial intelligence for the optical diagnosis of colorectal polyps: the role of human/artificial intelligence interaction (2024) · cites this paper as [2]
Experimental — accuracy not yet measured
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
Prevention of Colorectal Cancer by Colonoscopic Polypectomy
Winawer, S. J., Zauber, A. G., Ho, M. N., O’Brien, M. J., Gottlieb, L. S., Sternberg, S. S., Waye, J. D., Schapiro, M., Bond, J. H., Panish, J. F., et al. (1993) · New England Journal of Medicine · doi:10.1056/nejm199312303292701 · Cited by 4,585
Confocal laser endoscopy for diagnosing intraepithelial neoplasias and colorectal cancer in vivo
Kießlich, R., Burg, J., Vieth, M., Gnändiger, J., Enders, M., Delaney, P. M., Polglase, A. L., McLaren, W. J., Janell, D., Thomas, S., et al. (2004) · Gastroenterology · doi:10.1053/j.gastro.2004.06.050 · Cited by 843
O’Brien, M. J., Winawer, S. J., Zauber, A. G., Gottlieb, L. S., Sternberg, S. S., Diaz, B., Dickersin, G. R., Ewing, S. L., Geller, S. A., Kasimian, D., et al. (1990) · Gastroenterology · doi:10.1016/0016-5085(90)90827-n · Cited by 818
Rex, D. K., Kahi, C., O'Brien, M., Levin, T. R., Pohl, H., Rastogi, A., Burgart, L., Imperiale, T., Ladabaum, U., Cohen, J., et al. (2011) · Gastrointestinal Endoscopy · doi:10.1016/j.gie.2011.01.023 · Cited by 629
Self-citationHewett, D. G., Kaltenbach, T. R., Sano, Y., Tanaka, S., Saunders, B. P., Ponchon, T., Soetikno, R. M., & Rex, D. K. (2012) · Gastroenterology · doi:10.1053/j.gastro.2012.05.006 · Cited by 589
Self-citationIgnjatovic, A., East, J. E., Suzuki, N., Vance, M., Guenther, T., & Saunders, B. P. (2009) · The Lancet Oncology · doi:10.1016/s1470-2045(09)70329-8 · Cited by 366
A Resect and Discard Strategy Would Improve Cost-Effectiveness of Colorectal Cancer Screening
Hassan, C., Pickhardt, P. J., & Rex, D. K. (2010) · Clinical Gastroenterology and Hepatology · doi:10.1016/j.cgh.2010.05.018 · Cited by 294
Self-citationSano, Y., Ikematsu, H., Fu, K. I., Emura, F., Katagiri, A., Horimatsu, T., Kaneko, K., Soetikno, R. M., & Yoshida, S. (2008) · Gastrointestinal Endoscopy · doi:10.1016/j.gie.2008.04.066 · Cited by 287
Narrow-Band Imaging Without Optical Magnification for Histologic Analysis of Colorectal Polyps
Rex, D. K. (2008) · Gastroenterology · doi:10.1053/j.gastro.2008.12.009 · Cited by 257
Self-citationLadabaum, U., Fioritto, A., Mitani, A., Desai, M., Kim, J. P., Rex, D. K., Imperiale, T., & Gunaratnam, N. (2013) · Gastroenterology · doi:10.1053/j.gastro.2012.09.054 · Cited by 224
Self-citation
Cited by
Sorted by citations
Ferlitsch, M., Moss, A., Hassan, C., Bhandari, P., Dumonceau, J., Paspatis, G. A., Jover, R., Langner, C., Bronzwaer, M. E. S., Nalankilli, K., et al. (2017) · Endoscopy · doi:10.1055/s-0043-102569 · Cited by 1,107
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
Self-citationMori, Y., Kudo, S.-E., Misawa, M., Saito, Y., Ikematsu, H., Hotta, K., Ohtsuka, K., Urushibara, F., Kataoka, S., Ogawa, Y., et al. (2018) · Annals of Internal Medicine · doi:10.7326/m18-0249 · Cited by 509
Kaminski, M. F., Hassan, C., Bisschops, R., Pohl, J., Pellisé, M., Dekker, E., Ignjatovic-Wilson, A., Hoffman, A. W., Longcroft‐Wheaton, G., Heresbach, D., et al. (2014) · Endoscopy · doi:10.1055/s-0034-1365348 · Cited by 432
Accurate Classification of Diminutive Colorectal Polyps Using Computer-Aided Analysis
Chen, P., Lin, M.-C., Lai, M.-J., Lin, J.-C., Lu, H. H., & Tseng, V. S. M. (2017) · Gastroenterology · doi:10.1053/j.gastro.2017.10.010 · Cited by 396
Bisschops, R., East, J. E., Hassan, C., Hazewinkel, Y., Kaminski, M. F., Neumann, H., Pellisé, M., Antonelli, G., Bustamante, M., Coron, E., et al. (2019) · Endoscopy · doi:10.1055/a-1031-7657 · Cited by 352
Strum, W. B. (2016) · New England Journal of Medicine · doi:10.1056/nejmra1513581 · Cited by 338
Ferlitsch, M., Hassan, C., Bisschops, R., Bhandari, P., Dinis-Ribeiro, M. J., Risio, M., Paspatis, G. A., Moss, A., Libânio, D., Lorenzo‐Zúñiga, V., et al. (2024) · Endoscopy · doi:10.1055/a-2304-3219 · Cited by 326
Kaltenbach, T. R., Anderson, J. C., Burke, C. A., Dominitz, J. A., Gupta, S. N., Lieberman, D. A., Robertson, D. J., Shaukat, A., Syngal, S., & Rex, D. K. (2020) · Gastroenterology · doi:10.1053/j.gastro.2019.12.018 · Cited by 322
Self-citationEndoscopic Improvement of the Adenoma Detection Rate during Colonoscopy - Where Do We Stand in 2015?
Floer, M., & Meister, T. (2016) · Digestion · doi:10.1159/000442464 · Cited by 300
Kaltenbach, T. R., Anderson, J. C., Burke, C. A., Dominitz, J. A., Gupta, S. N., Lieberman, D. A., Robertson, D. J., Shaukat, A., Syngal, S., & Rex, D. K. (2020) · The American Journal of Gastroenterology · doi:10.14309/ajg.0000000000000555 · Cited by 279
Self-citationS3-Leitlinie – Kolorektales Karzinom
Schmiegel, W., Buchberger, B., Follmann, M., Graeven, U., Heinemann, V., Langer, T. G., Nothacker, M., Porschen, R., Rödel, C. M., Rösch, T., et al. (2017) · Zeitschrift für Gastroenterologie · doi:10.1055/s-0043-121106 · Cited by 247
Advanced endoscopic imaging: European Society of Gastrointestinal Endoscopy (ESGE) Technology Review
East, J. E., Vleugels, J. L. A., Roelandt, P. R., Bhandari, P., Bisschops, R., Dekker, E., Hassan, C., Horgan, G., Kießlich, R., Longcroft‐Wheaton, G., et al. (2016) · Endoscopy · doi:10.1055/s-0042-118087 · Cited by 238
Experimental evidence of effective human–AI collaboration in medical decision-making
Reverberi, C., Rigon, T., Solari, A., Hassan, C., Cherubini, P., GI Genius CADx Study Group, Antonelli, G., Awadie, H., Bernhofer, S., Carballal, S., et al. (2022) · Scientific Reports · doi:10.1038/s41598-022-18751-2 · Cited by 281
de Santiago, E. R., Dinis-Ribeiro, M. J., Pohl, H., Agrawal, D., Arvanitakis, M., Baddeley, R., Bak, E., Bhandari, P., Bretthauer, M., Burga, P., et al. (2022) · Endoscopy · doi:10.1055/a-1859-3726 · Cited by 229
Rees, C. J., Rajasekhar, P. T., Wilson, A., Close, H., Rutter, M. D., Saunders, B. P., East, J. E., Maier, R., Moorghen, M., Muhammad, U., et al. (2017) · Gut · doi:10.1136/gutjnl-2015-310584 · Cited by 211
Advances in CRC Prevention: Screening and Surveillance
Dekker, E., & Rex, D. K. (2018) · Gastroenterology · doi:10.1053/j.gastro.2018.01.069 · Cited by 158
Self-citationMori, Y., Kudo, S.-E., East, J. E., Rastogi, A., Bretthauer, M., Misawa, M., Sekiguchi, M., Matsuda, T., Saito, Y., Ikematsu, H., et al. (2020) · Gastrointestinal Endoscopy · doi:10.1016/j.gie.2020.03.3759 · Cited by 155
Artificial intelligence and colonoscopy: Current status and future perspectives
Kudo, S., Mori, Y., Misawa, M., Takeda, K., Kudo, T., Itoh, H., Oda, M., & Mori, K. (2019) · Digestive Endoscopy · doi:10.1111/den.13340 · Cited by 147
Kaltenbach, T. R., Anderson, J. C., Burke, C. A., Dominitz, J. A., Gupta, S. N., Lieberman, D. A., Robertson, D. J., Shaukat, A., Syngal, S., & Rex, D. K. (2020) · Gastrointestinal Endoscopy · doi:10.1016/j.gie.2020.01.029 · Cited by 146
Self-citationQuality assurance of computer-aided detection and diagnosis in colonoscopy
Vinsard, D. G., Mori, Y., Misawa, M., Kudo, S., Rastogi, A. N., Bağcı, U., Rex, D. K., & Wallace, M. B. (2019) · Gastrointestinal Endoscopy · doi:10.1016/j.gie.2019.03.019 · Cited by 141
Self-citationRondonotti, E., Hassan, C., Tamanini, G., Antonelli, G., Andrisani, G., Leonetti, G., Paggi, S., Amato, A., Scardino, G., Di Paolo, D., et al. (2023) · Endoscopy · doi:10.1055/a-1852-0330 · Cited by 128
Lui, T. K.-L., Guo, C., & Leung, W. K. (2020) · Gastrointestinal Endoscopy · doi:10.1016/j.gie.2020.02.033 · Cited by 127
Zachariah, R., Samarasena, J., Luba, D., Duh, E., Dao, T., Requa, J., Ninh, A., & Karnes, W. (2020) · American Journal of Gastroenterology · doi:10.14309/ajg.0000000000000429 · Cited by 117
Real-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
Endoscopic diagnosis and treatment planning for colorectal polyps using a deep-learning model
Song, E. M., Park, B., Ha, C., Hwang, S. W., Park, S. H., Yang, D., Ye, B. D., Myung, S., Yang, S., Kim, N., et al. (2020) · Scientific Reports · doi:10.1038/s41598-019-56697-0 · Cited by 107
Dekker, E., Houwen, B. B. S. L., Puig, I., Bustamante, M., Coron, E., Dobru, D. E., Kuvaev, R. O., Neumann, H., Johnson, G., Pimentel‐Nunes, P., et al. (2020) · Endoscopy · doi:10.1055/a-1231-5123 · Cited by 106
Expert opinions and scientific evidence for colonoscopy key performance indicators
Rees, C. J., Bevan, R., Zimmermann‐Fraedrich, K., Rutter, M. D., Rex, D. K., Dekker, E., Ponchon, T., Bretthauer, M., Reguła, J., Saunders, B. P., et al. (2016) · Gut · doi:10.1136/gutjnl-2016-312043 · Cited by 105
Self-citationSebastian, S., Dhar, A., Baddeley, R., Donnelly, L., Haddock, R., Arasaradnam, R. P., Coulter, A., Disney, B., Griffiths, H., Healey, C., et al. (2022) · Gut · doi:10.1136/gutjnl-2022-328460 · Cited by 102
Image computing for fibre-bundle endomicroscopy: A review
Perperidis, A., Dhaliwal, K., McLaughlin, S., & Vercauteren, T. K. (2019) · Medical Image Analysis · doi:10.1016/j.media.2019.101620 · Cited by 98
Artificial intelligence in gastrointestinal endoscopy
Pannala, R., Krishnan, K., Melson, J. E., Parsi, M. A., Schulman, A. R., Sullivan, S. A., Trikudanathan, G., Trindade, A. J., Watson, R. R., Maple, J. T., et al. (2020) · VideoGIE · doi:10.1016/j.vgie.2020.08.013 · Cited by 99
Self-citationNarrow-Band Imaging: Clinical Application in Gastrointestinal Endoscopy
Barbeiro, S., Libânio, D., Castro, R., Dinis-Ribeiro, M. J., & Pimentel‐Nunes, P. (2018) · GE Portuguese Journal of Gastroenterology · doi:10.1159/000487470 · Cited by 88
Park, S., Ko, B. M., Han, J. P., Hong, S. J., & Lee, M. S. (2015) · Gastrointestinal Endoscopy · doi:10.1016/j.gie.2015.08.053 · Cited by 84
Misawa, M., Kudo, S., Mori, Y., Takeda, K., Maeda, Y., Kataoka, S., Nakamura, H., Kudo, T., Wakamura, K., Hayashi, T., et al. (2017) · International Journal of Computer Assisted Radiology and Surgery · doi:10.1007/s11548-017-1542-4 · Cited by 78
Advances in optical gastrointestinal endoscopy: a technical review
Tang, Y., Anandasabapathy, S., & Richards-Kortum, R. R. (2020) · Molecular Oncology · doi:10.1002/1878-0261.12792 · Cited by 78
Wadhwa, V., Alagappan, M., Gonzalez, A. J., Gupta, K., Brown, J. R. G., Cohen, J., Sawhney, M., Pleskow, D. K., & Berzin, T. M. (2020) · Endoscopy International Open · doi:10.1055/a-1223-1926 · Cited by 82
Will Computer-Aided Detection and Diagnosis Revolutionize Colonoscopy?
Byrne, M. F., Shahidi, N. C., & Rex, D. K. (2017) · Gastroenterology · doi:10.1053/j.gastro.2017.10.026 · Cited by 76
Self-citationA primer on artificial intelligence and its application to endoscopy
Chahal, D., & Byrne, M. F. (2020) · Gastrointestinal Endoscopy · doi:10.1016/j.gie.2020.04.074 · Cited by 76
Artificial intelligence-assisted colonoscopy: A review of current state of practice and research
Taghiakbari, M., Mori, Y., & Renteln, D. A. V. (2021) · World Journal of Gastroenterology · doi:10.3748/wjg.v27.i47.8103 · Cited by 71
Li, J. W., Wu, C. C. H., Lee, J. W. J., Liang, R., Soon, G. S. T., Wang, L. M., Koh, X. H., Koh, C. J., Chew, W. D., Lin, K. W., et al. (2023) · American Journal of Gastroenterology · doi:10.14309/ajg.0000000000002282 · Cited by 61
Vleugels, J. L. A., Hassan, C., Senore, C., Cassoni, P., Baron, J. A., Rex, D. K., Ponugoti, P. L., Pellisé, M., Parejo, S., Bessa, X., et al. (2018) · Gastroenterology · doi:10.1053/j.gastro.2018.10.050 · Cited by 58
Self-citationRodriguez‐Diaz, E., Baffy, G., Lo, W., Mashimo, H. L., Vidyarthi, G., Mohapatra, S. S., & Singh, S. K. (2020) · Gastrointestinal Endoscopy · doi:10.1016/j.gie.2020.09.018 · Cited by 56
Christou, C. D., & Tsoulfas, G. (2021) · World Journal of Gastroenterology · doi:10.3748/wjg.v27.i37.6191 · Cited by 54
TransResU-Net: A Transformer based ResU-Net for Real-Time Colon Polyp Segmentation
Tomar, N. K., Shergill, A., Rieders, B., Bagci, U., & Jha, D. (2023) · Annual International Conference of the IEEE Engineering in Medicine and Biology Society · doi:10.1109/embc40787.2023.10340572 · Cited by 18
Pu, L. Z. C. T., Maicas, G., Tian, Y., Yamamura, T., Nakamura, M., Suzuki, H., Singh, G., Rana, K., Hirooka, Y., Burt, A. D., et al. (2020) · Gastrointestinal Endoscopy · doi:10.1016/j.gie.2020.02.042 · Cited by 54
Kandel, P., Brand, E. C., Pelt, J., Ball, C. T., Chen, W., Bouras, E. P., Gómez, V., Raimondo, M., Woodward, T. A., & Wallace, M. B. (2019) · Gut · doi:10.1136/gutjnl-2018-316574 · Cited by 53
Self-citationColorectal Polyp Image Detection and Classification through Grayscale Images and Deep Learning
Hsu, C., Hsu, C., Hsu, C., Shih, F.-Y., Chang, M., & Chen, T.-H. (2021) · Sensors · doi:10.3390/s21185995 · Cited by 53
Jung, Y. S., Park, C. H., Nam, E., Eun, C. S., Park, D. I., & Han, D. S. (2017) · Surgical Endoscopy · doi:10.1007/s00464-017-5786-4 · Cited by 53
Molecular endoscopy for targeted imaging in the digestive tract
Lee, J. H., & Wang, T. D. (2016) · The Lancet. Gastroenterology & hepatology · doi:10.1016/s2468-1253(16)30027-9 · Cited by 52
Green Endoscopy: Counting the Carbon Cost of Our Practice
Baddeley, R., Aabakken, L., Veitch, A., & Hayee, B. (2022) · Gastroenterology · doi:10.1053/j.gastro.2022.01.057 · Cited by 51
Renner, J., Phlipsen, H., Haller, B., Navarro-Avila, F. J., Saint-Hill-Febles, Y., Mateus, D., Ponchon, T., Poszler, A., Abdelhafez, M., Schmid, R. M., et al. (2018) · Scandinavian Journal of Gastroenterology · doi:10.1080/00365521.2018.1501092 · Cited by 50
Flexible Gastro-intestinal Endoscopy — Clinical Challenges and Technical Achievements
Kurniawan, N., & Keuchel, M. (2017) · Computational and Structural Biotechnology Journal · doi:10.1016/j.csbj.2017.01.004 · Cited by 49
Sakamoto, T., Nakajima, T., Matsuda, T., Murakami, Y., Ishikawa, H., Yao, K., & Saito, Y. (2018) · Gastrointestinal Endoscopy · doi:10.1016/j.gie.2017.12.021 · Cited by 47
Advances in endoscopy for colorectal polyp detection and classification
Pamudurthy, V., Lodhia, N. A., & Konda, V. J. A. (2019) · Baylor University Medical Center Proceedings · doi:10.1080/08998280.2019.1686327 · Cited by 46
Self-citationRivero, L., Arnau‐Collell, C., Herrero, J., Remedios, D., Cubiella, J., García-Cougil, M., Álvarez, V., Albéniz, E., Calvo, P., Gordillo, J., et al. (2019) · Gastroenterology · doi:10.1053/j.gastro.2019.09.003 · Cited by 46
Mohan, B. P., Khan, S. R., Kassab, L. L., Ponnada, S., Chandan, S., Ali, T., Dulai, P. S., Adler, D. G., & Kochhar, G. S. (2021) · Gastrointestinal Endoscopy · doi:10.1016/j.gie.2020.07.038 · Cited by 44
Vleugels, J. L. A., Dijkgraaf, M. G. W., Hazewinkel, Y., Wanders, L. K., Fockens, P., Dekker, E., Becx, M. C., van Berkel, A. M., Slot, W. B., Cazemier, M., et al. (2018) · Gastroenterology · doi:10.1053/j.gastro.2018.01.063 · Cited by 44
Figueiredo, P., Figueiredo, I. N., Pinto, L., Kumar, S., Tsai, Y. R., & Mamonov, A. (2019) · Endoscopy International Open · doi:10.1055/a-0808-4456 · Cited by 44
Yoshida, N., Inoue, K., Tomita, Y., Kobayashi, R., Hashimoto, H., Sugino, S., Hirose, R., Dohi, O., Yasuda, H., Morinaga, Y., et al. (2021) · International Journal of Colorectal Disease · doi:10.1007/s00384-021-04006-5 · Cited by 45
Xu, Y., Ding, W., Wang, Y., Tan, Y., Xi, C., Ye, N., Wu, D., & Xu, X. (2021) · PLOS ONE · doi:10.1371/journal.pone.0246892 · Cited by 42
Endoscopic resection of colorectal lesions: The narrowing divide between East and West
Burgess, N. G., & Bourke, M. J. (2015) · Digestive Endoscopy · doi:10.1111/den.12515 · Cited by 42
Sessile serrated adenoma/polyps: Where are we at in 2016?
Singh, R., Pu, L. Z. C. T., Koay, D. S. C., & Burt, A. D. (2016) · World Journal of Gastroenterology · doi:10.3748/wjg.v22.i34.7754 · Cited by 42
Simplifying Resect and Discard Strategies for Real-Time Assessment of Diminutive Colorectal Polyps
Renteln, D. A. V., Kaltenbach, T. R., Rastogi, A. N., Anderson, J. C., Rösch, T., Soetikno, R. M., & Pohl, H. (2017) · Clinical Gastroenterology and Hepatology · doi:10.1016/j.cgh.2017.11.036 · Cited by 42
Horiuchi, H., Tamai, N., Kamba, S., Inomata, H., Ohya, T. R., & Sumiyama, K. (2019) · Scandinavian Journal of Gastroenterology · doi:10.1080/00365521.2019.1627407 · Cited by 42
Current status and future perspective on artificial intelligence for lower endoscopy
Misawa, M., Kudo, S., Mori, Y., Maeda, Y., Ogawa, Y., Ichimasa, K., Kudo, T., Wakamura, K., Hayashi, T., Miyachi, H., et al. (2020) · Digestive Endoscopy · doi:10.1111/den.13847 · Cited by 42
Jahagirdar, V., Bapaye, J., Chandan, S., Ponnada, S., Kochhar, G. S., Navaneethan, U., & Mohan, B. P. (2023) · Gastrointestinal Endoscopy · doi:10.1016/j.gie.2023.04.2074 · Cited by 42
Artificial intelligence in intestinal polyp and colorectal cancer prediction
Sharma, A., Kumar, R., Yadav, G., & Garg, P. (2023) · Cancer Letters · doi:10.1016/j.canlet.2023.216238 · Cited by 42
van der Zander, Q. E. W., Schreuder, R. M., Fonollà, R., Scheeve, T., van der Sommen, F., Winkens, B., Aepli, P. R., Hayee, B., Pischel, A., Stefanovic, M., et al. (2020) · Endoscopy · doi:10.1055/a-1343-1597 · Cited by 40
Sakata, S., Mcivor, F., Klein, K., Stevenson, A. R. L., & Hewett, D. G. (2016) · Gut · doi:10.1136/gutjnl-2016-312915 · Cited by 38
Uptake and barriers for implementation of the resect and discard strategy: an international survey
Willems, P., Djinbachian, R., Ditisheim, S., Orkut, S., Pohl, H., Barkun, A. N., Bouin, M., Faulques, B., & Renteln, D. A. V. (2020) · Endoscopy International Open · doi:10.1055/a-1132-5371 · Cited by 37
Should We Resect and Discard Low Risk Diminutive Colon Polyps
Kandel, P., & Wallace, M. B. (2019) · Clinical Endoscopy · doi:10.5946/ce.2018.136 · Cited by 36
Self-citationSubramaniam, S., Hayee, B., Aepli, P. R., Schoon, E. J., Stefanovic, M., Kandiah, K., Thayalasekaran, S., Alkandari, A. A., Bassett, P., Coron, E., et al. (2019) · United European Gastroenterology Journal · doi:10.1177/2050640618822402 · Cited by 34
Colonic lesion characterization in inflammatory bowel disease: A systematic review and meta-analysis
Lord, R., Burr, N. E., Mohammed, N., & Subramanian, V. (2018) · World Journal of Gastroenterology · doi:10.3748/wjg.v24.i10.1167 · Cited by 34
The Status of Advanced Imaging Techniques for Optical Biopsy of Colonic Polyps
Glover, B. M., TEARE, J. P., & Patel, N. (2020) · Clinical and Translational Gastroenterology · doi:10.14309/ctg.0000000000000130 · Cited by 32
Artificial intelligence technologies for the detection of colorectal lesions: The future is now
Attardo, S., Chandrasekar, V. T., Spadaccini, M., Maselli, R., Patel, H. K., Desai, M., Capogreco, A., Badalamenti, M., Galtieri, P. A., Pellegatta, G., et al. (2020) · World Journal of Gastroenterology · doi:10.3748/wjg.v26.i37.5606 · Cited by 32
Djinbachian, R., Taghiakbari, M., Haumesser, C., Zarandi‐Nowroozi, M., Abou-Khalil, M., Sidani, S., Liu, J., Panzini, B., & Renteln, D. A. V. (2023) · Endoscopy International Open · doi:10.1055/a-2005-7548 · Cited by 32
Picot, J., Rose, M., Cooper, K., Pickett, K., Lord, J. L., Harris, P., Whyte, S., Böhning, D., & Shepherd, J. (2017) · Health Technology Assessment · doi:10.3310/hta21790 · Cited by 32
Rondonotti, E., Paggi, S., Amato, A., Mogavero, G., Andrealli, A., Conforti, F. S., Conte, D., Spinzi, G., & Radaelli, F. (2018) · Gastrointestinal Endoscopy · doi:10.1016/j.gie.2018.09.027 · Cited by 31
The Role of Chromoendoscopy in Evaluating Colorectal Dysplasia.
Buchner, A. M. (2017) · PubMed Central · Cited by 31
Applications of Artificial Intelligence for the Diagnosis of Gastrointestinal Diseases
Pecere, S., Milluzzo, S. M., Esposito, G., Dilaghi, E., Telese, A., & Eusebi, L. H. (2021) · Diagnostics · doi:10.3390/diagnostics11091575 · Cited by 31
He, Z., Wang, P., Liang, Y., Fu, Z., & Ye, X. (2021) · Journal of Healthcare Engineering · doi:10.1155/2021/7594513 · Cited by 31
Self-supervised Learning for Endoscopic Video Analysis
Hirsch, R., Caron, M., Cohen, R., Livne, A., Shapiro, R., Golany, T., Goldenberg, R., Freedman, D., & Rivlin, E. (2023) · Lecture notes in computer science · doi:10.1007/978-3-031-43904-9_55 · Cited by 30
Subramaniam, S., Kandiah, K., Schoon, E. J., Aepli, P. R., Hayee, B., Pischel, A., Stefanovic, M., Alkandari, A. A., Coron, E., Omae, M., et al. (2019) · Gastrointestinal Endoscopy · doi:10.1016/j.gie.2019.09.035 · Cited by 29
Sakamoto, T., Nakashima, H., Nakamura, K., Nagahama, R., & Saito, Y. (2021) · Digestive Diseases and Sciences · doi:10.1007/s10620-021-07217-6 · Cited by 28
Real-time semantic segmentation of gastric intestinal metaplasia using a deep learning approach
Siripoppohn, V., Pittayanon, R., Tiankanon, K., Faknak, N., Sanpavat, A., Klaikaew, N., Vateekul, P., & Rerknimitr, R. (2022) · Clinical Endoscopy · doi:10.5946/ce.2022.005 · Cited by 29
Artificial Intelligence Applied to Colonoscopy: Is It Time to Take a Step Forward?
Gimeno‐García, A. Z., Hernández-Pérez, A., Nicolás–Pérez, D., & Hernández‐Guerra, M. (2023) · Cancers · doi:10.3390/cancers15082193 · Cited by 27
van der Zander, Q. E. W., Roumans, R., Kusters, C. H. J., Dehghani, N., Masclee, A. A. M., de With, P. H. N., van der Sommen, F., Snijders, C. C. P., & Schoon, E. J. (2024) · Gastrointestinal Endoscopy · doi:10.1016/j.gie.2024.06.029 · Cited by 27
Image enhanced colonoscopy: updates and prospects—a review
Shahsavari, D., Waqar, M., & Chandrasekar, V. T. (2023) · Translational Gastroenterology and Hepatology · doi:10.21037/tgh-23-17 · Cited by 27
Measurement Bias of Polyp Size at Colonoscopy
Sakata, S., Klein, K., Stevenson, A. R. L., & Hewett, D. G. (2017) · Diseases of the Colon & Rectum · doi:10.1097/dcr.0000000000000859 · Cited by 27
Zimmermann‐Fraedrich, K., Groth, S., Sehner, S., Schubert, S., Aschenbeck, J., Mayr, M., Aminalai, A., Schröder, A., Bruhn, J.-P., Bläker, M., et al. (2018) · Endoscopy · doi:10.1055/a-0607-2636 · Cited by 27
Taghiakbari, M., Djinbachian, R., Haumesser, C., Sidani, S., Kiow, J. L. C., Panzini, B., & Renteln, D. A. V. (2023) · The American Journal of Gastroenterology · doi:10.14309/ajg.0000000000002623 · Cited by 25
Jheng, Y.-C., Wang, Y., Lin, H., Sung, K., Chu, Y.-C., Wang, H.-S., Jiang, J., Hou, M., Lee, F., & Lu, C. (2021) · Surgical Endoscopy · doi:10.1007/s00464-021-08331-2 · Cited by 25
Leaving colorectal polyps in place can be achieved with high accuracy using blue light imaging (BLI)
Neumann, H., Sen, H. N., Vieth, M. W., Bisschops, R., Thieringer, F., Rahman, K. F., Gamstätter, T., Tontini, G. E., & Galle, P. R. (2018) · United European Gastroenterology Journal · doi:10.1177/2050640618769731 · Cited by 25
Sano, Y., Chiu, H., Li, X., Khomvilai, S., Pisespongsa, P., Co, J. T., Kawamura, T., Kobayashi, N., Tanaka, S., Hewett, D. G., et al. (2018) · Digestive Endoscopy · doi:10.1111/den.13330 · Cited by 25
Optical Diagnosis of Colorectal Polyps: Recent Developments
Djinbachian, R., Dubé, A.-J., & Renteln, D. A. V. (2019) · Current Treatment Options in Gastroenterology · doi:10.1007/s11938-019-00220-x · Cited by 25
Cho, B., & Bang, C. S. (2019) · The American Journal of Gastroenterology · doi:10.14309/ajg.0000000000000476 · Cited by 25
Rondonotti, E., Hassan, C., Andrealli, A., Paggi, S., Amato, A., Scaramella, L., Repici, A., & Radaelli, F. (2020) · Clinical Gastroenterology and Hepatology · doi:10.1016/j.cgh.2019.12.028 · Cited by 25
Polyp Resection - Controversial Practices and Unanswered Questions
Renteln, D. A. V., & Pohl, H. (2017) · Clinical and Translational Gastroenterology · doi:10.1038/ctg.2017.6 · Cited by 24
Mason, S., Poynter, L., Takáts, Z., Darzi, A. W., & Kinross, J. K. (2019) · The American Journal of Gastroenterology · doi:10.14309/ajg.0000000000000156 · Cited by 24
Mohan, B. P., Khan, S. R., Kassab, L. L., Ponnada, S., Dulai, P. S., & Kochhar, G. S. (2020) · Endoscopy International Open · doi:10.1055/a-1236-3007 · Cited by 24
Metadata
- Authors
- Abu Dayyeh, B. K., Thosani, N., Konda, V., Wallace, M. B., Rex, D. K., Chauhan, S. S., Hwang, J. H., Komanduri, S., Manfredi, M., Maple, J. T., Murad, F. M., Siddiqui, U. D., & Banerjee, S.
- ORCID
- Venue
- Gastrointestinal Endoscopy
- Publisher
- Elsevier BV
- Published
- 2015-03
- Volume
- 81
- Issue
- 3
- Pages
- 502.e1-502.e16
- ISSN
- 0016-5107 (ISSN-L)
- OpenAlex
- W2055082612
- Cited by
- 389
- References
- 61
- Citations by year
- 2026: 15 · 2025: 23 · 2024: 30 · 2023: 39 · 2022: 38 · 2021: 42 · 2020: 44 · 2019: 42 · 2018: 35 · 2017: 40 · 2016: 24 · 2015: 16
- FWCI
- 4.12
- Type
- journal article
- Language
- en
- Open access
- bronze
- doi.org
- Locations
- Gastrointestinal Endoscopy (publishedVersion)
- PubMed (publishedVersion)
- Topics
- Health Sciences › Medicine › Oncology › Colorectal Cancer Screening and Detection
- Health Sciences › Medicine › Pathology and Forensic Medicine › Genetic factors in colorectal cancer
- Health Sciences › Medicine › Oncology › Colorectal Cancer Surgical Treatments
- Keywords
- diminutive colorectal polyps, optical biopsy, narrow-band imaging, i-scan, negative predictive value, rectosigmoid colon, polypectomy, histopathological correlation
- MeSH terms
- Biopsy, Colon, Colonoscopy, Humans, Intestinal Polyps, Predictive Value of Tests, Rectum, United States, Colorectal Neoplasms, Models, Statistical, Practice Guidelines as Topic, Adenomatous Polyps, Narrow Band Imaging
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
