Abstract
Advanced imaging techniques for evaluation of gastrointestinal (GI) diseases have evolved significantly over 80 years since the first arrival of flexible endoscopy in 1960s. This has helped clinician to assist in identification and classification of lesions in GI tract, better visualization of luminal surface, and real time decision making. The basic principle of endoscopy is to localize the concerning premalignant/or malignant lesions in GI tract, treatment of the area of interest (either resection or biopsy), awaiting pathology results, and eventually plan a treatment and/or surveillance strategy. Advanced imaging techniques currently available in the market and used in clinical practice are discussed here.
Abbreviations
- ADR:
-
Adenoma detection rate
- AFI:
-
Autofluorescence imaging endoscopy
- AI:
-
Artificial intelligence
- ASGE:
-
American Society of Gastrointestinal Endoscopy
- ASGE PIVI:
-
American Society of Gastrointestinal Endoscopy Preservation and Incorporation of Valuable Endoscopic Innovations
- BLI:
-
Blue light imaging
- BE:
-
Barrett’s esophagus
- CE:
-
Chromoendoscopy
- CI:
-
Confidence interval
- CNN:
-
Convoluted neural network
- CRC:
-
Colorectal cancer
- EMR:
-
Endoscopic mucosal resection
- ESD:
-
Endoscopic mucosal dissection
- FICE:
-
Flexible spectral imaging color enhancement
- HD-WLE:
-
High definition white light endoscopy
- HGD:
-
High grade dysplasia
- I-SCAN:
-
I-SCAN digital contrast
- JNET:
-
Japan NBI Expert team
- LGD:
-
Low grade dysplasia
- LST:
-
Laterally spreading tumor
- MB-MMX:
-
Methylene blue formulation
- NBI:
-
Narrow band imaging
- NICE:
-
NBI international colorectal endoscopic
- RCT:
-
Randomized controlled trial
- SD-WLE:
-
Standard definition white-light endoscopy
- SPS:
-
Serrated polyposis syndrome
- SSL:
-
Sessile serrated lesion
- UC:
-
Ulcerative colitis
- WLE:
-
White-light endoscopy
References
Tada M, Katoh S, Kohli Y, Kawai K (1976) On the dye spraying method in colonofiberscopy. Endoscopy 8(02):70–74
Togashi K, Konishi F, Ishizuka T, Sato T, Senba S, Kanazawa K (1999) Efficacy of magnifying endoscopy in the differential diagnosis of neoplastic and non-neoplastic polyps of the large bowel. Dis Colon Rectum 42(12):1602–1608
Subramanian V, Ragunath K (2014) Advanced endoscopic imaging: a review of commercially available technologies. Clin Gastroenterol Hepatol 12(3):368–376.e361
Kwon RS, Adler DG, Chand B et al (2009) High-resolution and high-magnification endoscopes. Gastrointest Endosc 69(3):399–407
Kandel P, Wallace MB (2017) The role of adjunct imaging in endoscopic detection of dysplasia in Barrett’s esophagus. Gastrointest Endosc Clin 27(3):423–446
Subramanian V, Mannath J, Hawkey C, Ragunath K (2011) High definition colonoscopy vs. standard video endoscopy for the detection of colonic polyps: a meta-analysis. Endoscopy 43(06):499–505
Pioche M, Denis A, Allescher H-D et al (2018) Impact of 2 generational improvements in colonoscopes on adenoma miss rates: results of a prospective randomized multicenter tandem study. Gastrointest Endosc 88(1):107–116
Zimmermann-Fraedrich K, Groth S, Sehner S et al (2018) Effects of two instrument-generation changes on adenoma detection rate during screening colonoscopy: results from a prospective randomized comparative study. Endoscopy 50(09):878–885
Brand EC, Wallace MB (2017) Strategies to increase adenoma detection rates. Curr Treat Options Gastroenterol 15(1):184–212
Rex DK, Schoenfeld PS, Cohen J et al (2015) Quality indicators for colonoscopy. Gastrointest Endosc 81(1):31–53
Corley DA, Jensen CD, Marks AR et al (2014) Adenoma detection rate and risk of colorectal cancer and death. N Engl J Med 370(14):1298–1306
Brown SR, Baraza W, Din S, Riley S (2016) Chromoscopy versus conventional endoscopy for the detection of polyps in the colon and rectum. Cochrane Database Syst Rev 4:CD006439
Repici A, Wallace MB, East JE et al (2019) Efficacy of per-oral methylene blue formulation for screening colonoscopy. Gastroenterology 156(8):2198–2207.e2191
Laine L, Kaltenbach T, Barkun A et al (2015) SCENIC international consensus statement on surveillance and management of dysplasia in inflammatory bowel disease. Gastroenterology 148(3):639–651.e628
Sengupta N, Yee E, Feuerstein JD (2016) Colorectal cancer screening in inflammatory bowel disease. Dig Dis Sci 61(4):980–989
Mooiweer E, Van der Meulen-de Jong A, Ponsioen C et al (2015) Chromoendoscopy for surveillance in inflammatory bowel disease does not increase neoplasia detection compared with conventional colonoscopy with random biopsies: results from a large retrospective study. Am J Gastroenterol 110(7):1014–1021
Kamiński MF, Hassan C, Bisschops R et al (2014) Advanced imaging for detection and differentiation of colorectal neoplasia: European Society of Gastrointestinal Endoscopy (ESGE) guideline. Endoscopy 46(5):435–449
Annese V, Daperno M, Rutter MD et al (2013) European evidence based consensus for endoscopy in inflammatory bowel disease. J Crohn’s Colitis 7(12):982–1018
Manfredi MA, Dayyeh BKA, Bhat YM et al (2015) Electronic chromoendoscopy. Gastrointest Endosc 81(2):249–261
Machida H, Sano Y, Hamamoto Y et al (2004) Narrow-band imaging in the diagnosis of colorectal mucosal lesions: a pilot study. Endoscopy 36(12):1094–1098
Gono K, Obi T, Yamaguchi M et al (2004) Appearance of enhanced tissue features in narrow-band endoscopic imaging. J Biomed Opt 9(3):568–578
Basford P, Longcroft-Wheaton G, Bhandari P (2015) ASGE Technology Committee reviews on real-time endoscopic assessment of the histology of diminutive colorectal polyps, and high-definition and high-magnification endoscopes. Gastrointest Endosc 82(6):1139–1140
Machida H, Sano Y, Hamamoto Y (2004) Narrow-band imaging in the diagnosis of colorectal mucosal lesions: a pilot study. Endoscopy 36:1094–1098
Hirata M, Tanaka S, Oka S (2007) Evaluation of microvessels in colorectal tumours by narrow band imaging (NBI) magnification. Gastrointest Endosc 66:945–952
Hayashi N, Tanaka S, Hewett DG (2013) Endoscopic prediction of deep submucosal invasive carcinoma: validation of the narrow-band imaging international colorectal endoscopic (NICE) classification. Gastrointest Endosc 78:625–632
Hewett DG, Kaltenbach T, Sano Y (2012) Validation of a simple classification system for endoscopic diagnosis of small colorectal polyps using narrow-band imaging. Gastroenterology 143:599–607
Sano Y, Tanaka S, Kudo SE (2016) NBI magnifying endoscopic classification of colorectal tumors proposed by the Japan NBI Expert Team (JNET). Dig Endosc 28:526–533
East JE, Vieth M, Rex DK (2015) Serrated lesions in colorectal cancer screening: detection, resection, pathology and surveillance. Gut 64:991–1000
Ijspeert JE, Bastiaansen BA, van Leerdam ME (2016) Development and validation of the WASP classification system for optical diagnosis of adenomas, hyperplastic polyps and sessile serrated adenomas/polyps. Gut 65:963–970
Jin XF, Chai TH, Shi JW, Yang XC, Sun QY (2012) Meta-analysis for evaluating the accuracy of endoscopy with narrow band imaging in detecting colorectal adenomas. J Gastroenterol Hepatol 27(5):882–887
Nagorni A, Bjelakovic G, Petrovic B (2012) Narrow band imaging versus conventional white light colonoscopy for the detection of colorectal polyps. Cochrane Database Syst Rev 1:CD008361
Dinesen L, Chua TJ, Kaffes AJ (2012) Meta-analysis of narrow-band imaging versus conventional colonoscopy for adenoma detection. Gastrointest Endosc 75(3):604–611
Atkinson NS, Ket S, Bassett P et al (2019) Narrow-band imaging for detection of neoplasia at colonoscopy: a meta-analysis of data from individual patients in randomized controlled trials. Gastroenterology 157(2):462–471
(2019) Narrow-band imaging for detection of neoplasia at colonoscopy: a meta-analysis of data from individual patients in randomized controlled trials. Gastroenterology 157:462–471
Omata F, Ohde S, Deshpande GA, Kobayashi D, Masuda K, Fukui T (2014) Image-enhanced, chromo, and cap-assisted colonoscopy for improving adenoma/neoplasia detection rate: a systematic review and meta-analysis. Scand J Gastroenterol 49(2):222–237
Omata F, Ohde S, Deshpande GA, Kobayashi D, Masuda K, Fukui T (2014). Image-enhanced, chromo, and cap-assisted colonoscopy for improving adenoma/neoplasia detection rate: a systematic review and meta-analysis. (2014) Scand J Gastroenterol 49:222–237
Berzin TM, Parasa S, Wallace MB, Gross SA, Repici A, Sharma P (2020) Position statement on priorities for artificial intelligence in GI endoscopy: a report by the ASGE Task Force. Gastrointest Endosc 92:951–959
Yoshida N, Yagi N, Inada Y et al (2014) Ability of a novel blue laser imaging system for the diagnosis of colorectal polyps. Dig Endosc 26(2):250–258
Yoshida N, Hisabe T, Inada Y et al (2014) The ability of a novel blue laser imaging system for the diagnosis of invasion depth of colorectal neoplasms. J Gastroenterol 49(1):73–80
Yoshida N, Hisabe T, Hirose R et al (2015) Improvement in the visibility of colorectal polyps by using blue laser imaging (with video). Gastrointest Endosc 82(3):542–549
Ikematsu H, Sakamoto T, Togashi K et al (2017) Detectability of colorectal neoplastic lesions using a novel endoscopic system with blue laser imaging: a multicenter randomized controlled trial. Gastrointest Endosc 86(2):386–394
Shimoda R, Sakata Y, Fujise T et al (2017) The adenoma miss rate of blue-laser imaging vs. white-light imaging during colonoscopy: a randomized tandem trial. Endoscopy 49(2):186–190
Rondonotti E, Paggi S, Amato A et al (2019) Blue-light imaging compared with high-definition white light for real-time histology prediction of colorectal polyps less than 1 centimeter: a prospective randomized study. Gastrointest Endosc 89(3):554–564.e551
Bisschops R, Hassan C, Bhandari P et al (2018) BASIC (BLI Adenoma Serrated International Classification) classification for colorectal polyp characterization with blue light imaging. Endoscopy 50(03):211–220
Rondonotti E, Hassan C, Andrealli A et al (2020) Clinical validation of BASIC classification for the resect and discard strategy for diminutive colorectal polyps. Clin Gastroenterol Hepatol 92:951–959
Rondonotti E, Hassan C, Andrealli A et al (2020) CLINICAL VALIDATION OF BLI ADENOMAS SERRATED INTERNATIONAL CLASSIFICATION (BASIC) FOR RESECT AND DISCARD STRATEGY FOR DIMINUTIVE COLORECTAL POLYPS (BIRD STUDY). Endoscopy 52(S 01):OP134
Okada M, Sakamoto H, Takezawa T et al (2016) Laterally spreading tumor of the rectum delineated with linked color imaging technology. Clin Endosc 49(2):207–208
Fukuda H, Miura Y, Hayashi Y et al (2015) Linked color imaging technology facilitates early detection of flat gastric cancers. Clin J Gastroenterol 8(6):385–389
Sun X, Dong T, Bi Y et al (2016) Linked color imaging application for improving the endoscopic diagnosis accuracy: a pilot study. Sci Rep 6:33473
Min M, Deng P, Zhang W, Sun X, Liu Y, Nong B (2017) Comparison of linked color imaging and white-light colonoscopy for detection of colorectal polyps: a multicenter, randomized, crossover trial. Gastrointest Endosc 86(4):724–730
Fujimoto D, Muguruma N, Okamoto K et al (2018) Linked color imaging enhances endoscopic detection of sessile serrated adenoma/polyps. Endosc Int Open 6(3):E322–E334
Song L-MWK, Banerjee S, Desilets D et al (2011) Autofluorescence imaging. Gastrointest Endosc 73(4):647–650
Zhao Z-Y et al (2015) Detection and miss rates of autofluorescence imaging of adenomatous and polypoid lesions during colonoscopy: a systematic review and meta-analysis. Endosc Int Open 3:E226–E235
Kiesslich R, Burg J, Vieth M (2004) Confocal laser endoscopy for diagnosing intraepithelial neoplasias and colorectal cancer in vivo. Gastroenterology 127:706–713
Chauhan, Shailendra S Dayyeh, Barham K Abu Bhat, Yasser M Gottlieb, Klaus T Hwang, Joo Ha Komanduri, Sri Konda, Vani Lo, Simon K Manfredi, Michael A Maple, John T (2014) Confocal laser endomicroscopy Gastrointest Endosc 80(6):928–938
Kiesslich R, Canto MI (2009) Confocal laser endomicroscopy. Gastrointest Endosc Clin N Am 19:261–272
Neumann H, Kiesslich R, Wallace MB (2010) Confocal laser endomicroscopy: technical advances and clinical applications. Gastroenterology 139:388–392
Kuiper T, Kiesslich R, Ponsioen C (2012) The learning curve, accuracy, and interobserver agreement of endoscope-based confocal laser endomicroscopy for the differentiation of colorectal lesions. Gastrointest Endosc 75:1211–1217
Wallace M, Lauwers GY, Chen Y (2011) Miami classification for probe-based confocal laser endomicroscopy. Endoscopy 43:882–891
Wallace MB, Sharma P, Lightdale C (2010) Preliminary accuracy and interobserver agreement for the detection of intraepithelial neoplasia in Barrett’s esophagus with probe-based confocal laser endomicroscopy. Gastrointest Endosc 72:19–24
De Palma GD, Staibano S, Siciliano S (2010) In vivo characterisation of superficial colorectal neoplastic lesions with high-resolution probe-based confocal laser endomicroscopy in combination with video-mosaicing: a feasibility study to enhance routine endoscopy. Dig Liver Dis 42:791–797
Becker V, Wallace MB, Fockens P et al (2010) Needle-based confocal endomicroscopy for in vivo histology of intra-abdominal organs: first results in a porcine model (with videos). Gastrointest Endosc 71(7):1260–1266
Giovannini M, Caillol F, Monges G et al (2016) Endoscopic ultrasound-guided needle-based confocal laser endomicroscopy in solid pancreatic masses. Endoscopy 48(10):892–898
Kongkam P, Pittayanon R, Sampatanukul P et al (2016) Endoscopic ultrasound-guided needle-based confocal laser endomicroscopy for diagnosis of solid pancreatic lesions (ENES): a pilot study. Endosc Int Open 4(1):E17–E23
Konda VJ, Aslanian HR, Wallace MB, Siddiqui UD, Hart J, Waxman I (2011) First assessment of needle-based confocal laser endomicroscopy during EUS-FNA procedures of the pancreas (with videos). Gastrointest Endosc 74(5):1049–1060
Karstensen JG, Cârţână T, Constantinescu C et al (2018) Endoscopic ultrasound guided needle-based confocal laser endomicroscopy in solid pancreatic masses – a prospective validation study. Endosc Int Open 6(1):E78–e85
Wang KK, Carr-Locke DL, Singh SK et al (2015) Use of probe-based confocal laser endomicroscopy (pCLE) in gastrointestinal applications. A consensus report based on clinical evidence. United European Gastroenterol J 3(3):230–254
Bhutani MS, Koduru P, Joshi V et al (2015) EUS-guided needle-based confocal laser endomicroscopy: a novel technique with emerging applications. Gastroenterol Hepatol 11(4):235
Lee JH, Wang TD (2016) Molecular endoscopy for targeted imaging in the digestive tract. Lancet Gastroenterol Hepatol 1(2):147–155
Siegel RL, Miller KD, Jemal A (2019) Cancer statistics, 2019. CA Cancer J Clin 69(1):7–34
Zauber AG, Winawer SJ, O’Brien MJ et al (2012) Colonoscopic polypectomy and long-term prevention of colorectal-cancer deaths. N Engl J Med 366(8):687–696
Lieberman D, Moravec M, Holub J, Michaels L, Eisen G (2008) Polyp size and advanced histology in patients undergoing colonoscopy screening: implications for CT colonography. Gastroenterology 135(4):1100–1105
Rex DK, Overhiser AJ, Chen SC, Cummings OW, Ulbright TM (2009) Estimation of impact of American College of Radiology recommendations on CT colonography reporting for resection of high-risk adenoma findings. Am J Gastroenterol 104(1):149–153
Vleugels JL, Hazewinkel Y, Fockens P, Dekker E (2017) Natural history of diminutive and small colorectal polyps: a systematic literature review. Gastrointest Endosc 85(6):1169–1176.e1161
Vleugels JL, Hassan C, Senore C et al (2019) Diminutive polyps with advanced histologic features do not increase risk for metachronous advanced colon neoplasia. Gastroenterology 156(3):623–634.e623
Kandel P, Wallace MB (2019) Should we resect and discard low risk diminutive colon polyps. Clin Endosc 52(3):239–246
IJspeert JE, Bastiaansen BA, Van Leerdam ME et al (2016) Development and validation of the WASP classification system for optical diagnosis of adenomas, hyperplastic polyps and sessile serrated adenomas/polyps. Gut 65(6):963–970
Hewett DG, Kaltenbach T, Sano Y et al (2012) Validation of a simple classification system for endoscopic diagnosis of small colorectal polyps using narrow-band imaging. Gastroenterology 143(3):599–607.e591
Iacucci M, Trovato C, Daperno M et al (2018) Development and validation of the SIMPLE endoscopic classification of diminutive and small colorectal polyps. Endoscopy 50(08):779–789
Sano Y, Tanaka S, Se K et al (2016) Narrow-band imaging (NBI) magnifying endoscopic classification of colorectal tumors proposed by the Japan NBI Expert Team. Dig Endosc 28(5):526–533
Lieberman DA, Weiss DG, Harford WV et al (2007) Five-year colon surveillance after screening colonoscopy. Gastroenterology 133(4):1077–1085
Levin B, Lieberman DA, McFarland B et al (2008) Screening and surveillance for the early detection of colorectal cancer and adenomatous polyps, 2008: a joint guideline from the American Cancer Society, the US Multi-Society Task Force on Colorectal Cancer, and the American College of Radiology. Gastroenterology 134(5):1570–1595
Abu Dayyeh BK, Thosani N, Konda V et al (2015) 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. Gastrointest Endosc 81(3):502.e501–502.e516
McGill SK, Evangelou E, Ioannidis JP, Soetikno RM, Kaltenbach T (2013) Narrow band imaging to differentiate neoplastic and non-neoplastic colorectal polyps in real time: a meta-analysis of diagnostic operating characteristics. Gut 62(12):1704–1713
Ladabaum U, Fioritto A, Mitani A et al (2013) Real-time optical biopsy of colon polyps with narrow band imaging in community practice does not yet meet key thresholds for clinical decisions. Gastroenterology 144(1):81–91
Willems P, Djinbachian R, Ditisheim S et al (2020) Uptake and barriers for implementation of the resect and discard strategy: an international survey. Endosc Int Open 08(05):E684–E692
Soudagar AS, Nguyen M, Bhatia A, Rastogi A, Gupta N (2016) Are gastroenterologists willing to implement the “predict, resect, and discard” management strategy for diminutive colorectal polyps?: results from a national survey. J Clin Gastroenterol 50(5):e45–e49
Sakata S, Lee AHS, Kheir AO et al (2017) Patient acceptance of the optical diagnosis and misdiagnosis of diminutive colorectal polyps. Gastrointest Endosc 86(2):372–375.e372
Rex DK, Patel NJ, Vemulapalli KC (2015) A survey of patient acceptance of resect and discard for diminutive polyps. Gastrointest Endosc 82(2):376–380.e371
Topol E (2019) Deep medicine: how artificial intelligence can make healthcare human again. Hachette UK, ISBN: 1541644646
Topol EJ (2019) High-performance medicine: the convergence of human and artificial intelligence. Nat Med 25(1):44–56
East JE, Rees CJ (2018) Making optical biopsy a clinical reality in colonoscopy. Lancet Gastroenterol Hepatol 3(1):10–12
Rees CJ, Rajasekhar PT, Wilson A et al (2017) Narrow band imaging optical diagnosis of small colorectal polyps in routine clinical practice: the Detect Inspect Characterise Resect and DISCARD 2 (DISCARD 2) study. Gut 66(5):887–895
Mahmud N, Cohen J, Tsourides K, Berzin TM (2015) Computer vision and augmented reality in gastrointestinal endoscopy. Gastroenterol Rep 3(3):179–184
Lee CK, Park DI, Lee S-H et al (2011) Participation by experienced endoscopy nurses increases the detection rate of colon polyps during a screening colonoscopy: a multicenter, prospective, randomized study. Gastrointest Endosc 74(5):1094–1102
Chen P-J, Lin M-C, Lai M-J, Lin J-C, HH-S L, Tseng VS (2018) Accurate classification of diminutive colorectal polyps using computer-aided analysis. Gastroenterology 154(3):568–575
Aslanian HR, Shieh FK, Chan FW et al (2013) Nurse observation during colonoscopy increases polyp detection: a randomized prospective study. Am J Gastroenterol 108(2):166–172
Mori Y, Kudo S-e, Berzin TM, Misawa M, Takeda K (2017) Computer-aided diagnosis for colonoscopy. Endoscopy 49(8):813
Urban G, Tripathi P, Alkayali T et al (2018) Deep learning localizes and identifies polyps in real time with 96% accuracy in screening colonoscopy. Gastroenterology 155(4):1069–1078.e1068
Wang Y, Tavanapong W, Wong J, Oh JH, De Groen PC (2015) Polyp-alert: near real-time feedback during colonoscopy. Comput Methods Prog Biomed 120(3):164–179
Mori Y, Se K, Mohmed HE et al (2019) Artificial intelligence and upper gastrointestinal endoscopy: current status and future perspective. Dig Endosc 31(4):378–388
Kudo Se MY, Misawa M et al (2019) Artificial intelligence and colonoscopy: current status and future perspectives. Dig Endosc 31(4):363–371
Wang P, Berzin TM, Brown JRG et al (2019) Real-time automatic detection system increases colonoscopic polyp and adenoma detection rates: a prospective randomised controlled study. Gut 68(10):1813–1819
Figueiredo PN, Figueiredo IN, Pinto L, Kumar S, Tsai Y-HR, Mamonov AV (2019) Polyp detection with computer-aided diagnosis in white light colonoscopy: comparison of three different methods. Endosc Int Open 7(2):E209
Byrne MF, Chapados N, Soudan F et al (2019) Real-time differentiation of adenomatous and hyperplastic diminutive colorectal polyps during analysis of unaltered videos of standard colonoscopy using a deep learning model. Gut 68(1):94–100
Misawa M, S-e K, Mori Y et al (2017) Accuracy of computer-aided diagnosis based on narrow-band imaging endocytoscopy for diagnosing colorectal lesions: comparison with experts. Int J Comput Assist Radiol Surg 12(5):757–766
Ito N, Kawahira H, Nakashima H, Uesato M, Miyauchi H, Matsubara H (2019) Endoscopic diagnostic support system for cT1b colorectal cancer using deep learning. Oncology 96(1):44–50
Lui TK, Wong KK, Mak LL, Ko MK, Tsao SK, Leung WK (2019) Endoscopic prediction of deeply submucosal invasive carcinoma with use of artificial intelligence. Endosc Int Open 7(4):E514
Ozawa T, Ishihara S, Fujishiro M et al (2019) Novel computer-assisted diagnosis system for endoscopic disease activity in patients with ulcerative colitis. Gastrointest Endosc 89(2):416–421.e411
Itoh T, Kawahira H, Nakashima H, Yata N (2018) Deep learning analyzes Helicobacter pylori infection by upper gastrointestinal endoscopy images. Endosc Int Open 6(2):E139–e144
Bah A, Saraga E, Armstrong D et al (1995) Endoscopic features of Helicobacter pylori-related gastritis. Endoscopy 27(8):593–596
Sehgal V, Rosenfeld A, Graham DG et al (2018) Machine learning creates a simple endoscopic classification system that improves dysplasia detection in Barrett’s oesophagus amongst non-expert endoscopists. Gastroenterol Res Pract 2018:9
Wu L, Zhou W, Wan X et al (2019) A deep neural network improves endoscopic detection of early gastric cancer without blind spots. Endoscopy 51(6):522–531
Byrne MF, Shahidi N, Rex DK (2017) Will computer-aided detection and diagnosis revolutionize colonoscopy? Gastroenterology 153(6):1460–1464.e1461
Chen PJ, Lin MC, Lai MJ, Lin JC, Lu HH, Tseng VS (2018) Accurate classification of diminutive colorectal polyps using computer-aided analysis. Gastroenterology 154(3):568–575
Mori Y, S-e K, Misawa M et al (2018) Real-time use of artificial intelligence in identification of diminutive polyps during colonoscopy: a prospective study. Ann Intern Med 169(6):357–366
Povyakalo AA, Alberdi E, Strigini L, Ayton P (2013) How to discriminate between computer-aided and computer-hindered decisions: a case study in mammography. Med Decis Mak 33(1):98–107
Tsai TL, Fridsma DB, Gatti G (2003) Computer decision support as a source of interpretation error: the case of electrocardiograms. J Am Med Inform Assoc 10(5):478–483
Vinsard DG, Mori Y, Misawa M et al (2019) Quality assurance of computer-aided detection and diagnosis in colonoscopy. Gastrointest Endosc 90(1):55–63
Paggi S, Rondonotti E, Amato A (2015) Narrow-band imaging in the prediction of surveillance intervals after polypectomy in community practice. Endoscopy 47:808–814
Soetikno R, Koay D, Kaltenbach T (2015) Implementing endoscopic optical diagnosis into practice: a green light at the horizon. Endoscopy 47:771–772
Conflicts of Interest
Michael Wallace reports to following conflicts of interest
Consulting: Virgo Inc., Cosmo/Aries Pharmaceuticals, Anx Robotica (2019), Covidien, GI Supply
Research grants: Fujifilm, Boston Scientific, Olympus, Medtronic, NinePoint Medical, Cosmo/Aries Pharmaceuticals
Stock/Stock Options: Virgo Inc.
Consulting on behalf of Mayo Clinic: GI Supply (2018), Endokey, Endostart, Boston Scientific. Microtek
General payments/Minor Food and Beverage: Synergy Pharmaceuticals, Boston Scientific, Cook Medical
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Section Editor information
Rights and permissions
Copyright information
© 2021 Springer Nature Switzerland AG
About this entry
Cite this entry
Kandel, P., Wallace, M.B. (2021). Advanced Imaging Techniques and In vivo Histology: Current Status and Future Perspectives (Lower G.I.). In: Testoni, P.A., Inoue, H., Wallace, M.B. (eds) Gastrointestinal and Pancreatico-Biliary Diseases: Advanced Diagnostic and Therapeutic Endoscopy. Springer, Cham. https://doi.org/10.1007/978-3-030-29964-4_110-1
Download citation
DOI: https://doi.org/10.1007/978-3-030-29964-4_110-1
Received:
Accepted:
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-030-29964-4
Online ISBN: 978-3-030-29964-4
eBook Packages: Springer Reference MedicineReference Module Medicine