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Clinical Trial Details — Status: Recruiting

Administrative data

NCT number NCT04196088
Other study ID # Docbot AIDA: Ultivision_002
Secondary ID
Status Recruiting
Phase N/A
First received
Last updated
Start date June 11, 2020
Est. completion date December 2021

Study information

Verified date March 2021
Source Docbot, Inc.
Contact Efren Rael, MD
Phone 7179030979
Email efren.rael@docbot.ai
Is FDA regulated No
Health authority
Study type Interventional

Clinical Trial Summary

The aim of this study is to assess the efficacy of Ultivision Artificial Intelligence (AI) Software in detecting adenomas in screening colonoscopy procedures. The safety of Ultivision AI Software will also be assessed. A subset of the subjects will enter a roll-in period for clinical trial safety assessment. The remainder of subjects who are eligible will enter the detection phase which comprises a screening colonoscopy procedure. In the detection phase, subjects will be randomized to a screening colonoscopy with Ultivision AI Software enhancement or without AI Software enhancement. The study will measure the mean adenomas per colonoscopy procedure, as defined by the protocol, detected while receiving either treatment option.


Recruitment information / eligibility

Status Recruiting
Enrollment 978
Est. completion date December 2021
Est. primary completion date November 2021
Accepts healthy volunteers Accepts Healthy Volunteers
Gender All
Age group 45 Years to 75 Years
Eligibility Primary Inclusion Criteria. 1. Average risk asymptomatic subjects undergoing a first colonoscopy (screening) or screening colonoscopy at least 10 years after prior colonoscopy. 2. Aged 45 years to aged 75 years at the time of enrollment. 3. Capable of providing written informed consent and willing and able to adhere to all protocol requirements, and/or the subject's legally acceptable representative(s) capable of providing written informed consent. Primary Exclusion Criteria. 1. History of any colorectal cancer or colon adenomas. 2. History of inflammatory bowel disease, including Crohn's disease or ulcerative colitis. 3. Family history of colon cancer or precancerous colon polyp in a first degree relative before age 50. 4. Polyposis syndromes including Familial Adenomatous Polyposis, Cowden syndrome, Lynch syndrome, Peutz-Jeghers syndrome, MUTYH Associated Polyposis, Familial Colorectal Cancer Type X. 5. Surveillance, therapeutic, preoperative, or diagnostic colonoscopy. 6. Colonoscopy for work-up of abdominal or pelvic symptoms including abdominal pain, flank pain, pelvic pain, subject report of altered stool, subject report of anemia within the past 12 months, subject report of gastrointestinal bleeding including bright red blood per rectum or tarry stools, constipation, diarrhea, subject reported history of abdominal or pelvic mass, subject report of unintentional weight loss. 7. Workup or referral to diagnose or evaluate abnormal imaging of the abdomen or pelvis. 8. Positive Fecal Immunochemical Test history. 9. Severe co-mobordity, including end-stage cardiovascular, pulmonary, liver, or renal disease. 10. History of colon resection, not including the appendix. 11. Currently receiving a therapy not permitted during the trial, as defined in Section 8.3. 12. Any issue that, in the opinion of the investigator, would render the subject unsuitable for participation in the trial. Enrolled subjects will be eligible for Post-procedure Periods if their colonoscopy meets the following criteria: 1. Adequate bowel preparation score per the Boston Bowel Preparation Scoring System (BBPS) > or equal to 2 in all colonic segments. 2. Colonoscopies with successful cecal intubation. 3. Colonoscopies with withdrawal times of at least 6 minutes.

Study Design


Intervention

Device:
Ultivision Artificial Intelligence Software
Screening Colonoscopy
No Artificial Intelligence Software enhancement
Screening Colonoscopy

Locations

Country Name City State
United States Gastro Health Birmingham Alabama
United States Capital Digestive Care Chevy Chase Maryland
United States Verity Research Inc., Gastro Health Fairfax Virginia
United States Kansas City Veterans Administration Kansas City Kansas
United States Great Lakes Gastroenterology Research, LLC, Clinical Trials Network Mentor Ohio
United States Wisconsin GI Associates Milwaukee Wisconsin
United States East Side Endoscopy New York New York
United States Gastrointestinal & Liver Specialists of Tidewater, PLLC Norfolk Virginia
United States Precision Research Institute San Diego California

Sponsors (1)

Lead Sponsor Collaborator
Docbot, Inc.

Country where clinical trial is conducted

United States, 

References & Publications (35)

Adler J, Robertson DJ. Interval Colorectal Cancer After Colonoscopy: Exploring Explanations and Solutions. Am J Gastroenterol. 2015 Dec;110(12):1657-64; quiz 1665. doi: 10.1038/ajg.2015.365. Epub 2015 Nov 10. Review. — View Citation

Ahn SB, Han DS, Bae JH, Byun TJ, Kim JP, Eun CS. The Miss Rate for Colorectal Adenoma Determined by Quality-Adjusted, Back-to-Back Colonoscopies. Gut Liver. 2012 Jan;6(1):64-70. doi: 10.5009/gnl.2012.6.1.64. Epub 2012 Jan 12. — View Citation

Aslanian HR, Shieh FK, Chan FW, Ciarleglio MM, Deng Y, Rogart JN, Jamidar PA, Siddiqui UD. Nurse observation during colonoscopy increases polyp detection: a randomized prospective study. Am J Gastroenterol. 2013 Feb;108(2):166-72. doi: 10.1038/ajg.2012.237. — View Citation

Baxter NN, Goldwasser MA, Paszat LF, Saskin R, Urbach DR, Rabeneck L. Association of colonoscopy and death from colorectal cancer. Ann Intern Med. 2009 Jan 6;150(1):1-8. Epub 2008 Dec 15. — View Citation

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Brenner H, Chang-Claude J, Rickert A, Seiler CM, Hoffmeister M. Risk of colorectal cancer after detection and removal of adenomas at colonoscopy: population-based case-control study. J Clin Oncol. 2012 Aug 20;30(24):2969-76. doi: 10.1200/JCO.2011.41.3377. Epub 2012 Jul 23. — View Citation

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Buchner AM, Shahid MW, Heckman MG, Diehl NN, McNeil RB, Cleveland P, Gill KR, Schore A, Ghabril M, Raimondo M, Gross SA, Wallace MB. Trainee participation is associated with increased small adenoma detection. Gastrointest Endosc. 2011 Jun;73(6):1223-31. doi: 10.1016/j.gie.2011.01.060. Epub 2011 Apr 8. — View Citation

Coe SG, Wallace MB. Assessment of adenoma detection rate benchmarks in women versus men. Gastrointest Endosc. 2013 Apr;77(4):631-5. doi: 10.1016/j.gie.2012.12.001. Epub 2013 Feb 1. — View Citation

Corley DA, Jensen CD, Marks AR, Zhao WK, Lee JK, Doubeni CA, Zauber AG, de Boer J, Fireman BH, Schottinger JE, Quinn VP, Ghai NR, Levin TR, Quesenberry CP. Adenoma detection rate and risk of colorectal cancer and death. N Engl J Med. 2014 Apr 3;370(14):1298-306. doi: 10.1056/NEJMoa1309086. — View Citation

Delavari A, Salimzadeh H, Bishehsari F, Sobh Rakhshankhah E, Delavari F, Moossavi S, Khosravi P, Nasseri-Moghaddam S, Merat S, Ansari R, Vahedi H, Shahbazkhani B, Saberifiroozi M, Sotoudeh M, Malekzadeh R. Mean Polyp per Patient Is an Accurate and Readily Obtainable Surrogate for Adenoma Detection Rate: Results from an Opportunistic Screening Colonoscopy Program. Middle East J Dig Dis. 2015 Oct;7(4):214-9. — View Citation

Feagins LA, Smith AD, Kim D, Halai A, Duttala S, Chebaa B, Lunsford T, Vizuete J, Mara M, Mascarenhas R, Meghani R, Kundrotas L, Dunbar KB, Cipher DJ, Harford WV, Spechler SJ. Efficacy of Prophylactic Hemoclips in Prevention of Delayed Post-Polypectomy Bleeding in Patients With Large Colonic Polyps. Gastroenterology. 2019 Oct;157(4):967-976.e1. doi: 10.1053/j.gastro.2019.05.003. Epub 2019 May 31. — View Citation

Gralnek IM. Emerging technological advancements in colonoscopy: Third Eye® Retroscope® and Third Eye® Panoramic(TM) , Fuse® Full Spectrum Endoscopy® colonoscopy platform, Extra-Wide-Angle-View colonoscope, and NaviAid(TM) G-EYE(TM) balloon colonoscope. Dig Endosc. 2015 Jan;27(2):223-31. doi: 10.1111/den.12382. Epub 2014 Nov 17. Review. — View Citation

Hwang IK, Shih WJ, De Cani JS. Group sequential designs using a family of type I error probability spending functions. Stat Med. 1990 Dec;9(12):1439-45. — View Citation

Kaminski MF, Hassan C, Bisschops R, Pohl J, Pellisé M, Dekker E, Ignjatovic-Wilson A, Hoffman A, Longcroft-Wheaton G, Heresbach D, Dumonceau JM, East JE. Advanced imaging for detection and differentiation of colorectal neoplasia: European Society of Gastrointestinal Endoscopy (ESGE) Guideline. Endoscopy. 2014 May;46(5):435-49. doi: 10.1055/s-0034-1365348. Epub 2014 Mar 17. — View Citation

Kaminski MF, Regula J, Kraszewska E, Polkowski M, Wojciechowska U, Didkowska J, Zwierko M, Rupinski M, Nowacki MP, Butruk E. Quality indicators for colonoscopy and the risk of interval cancer. N Engl J Med. 2010 May 13;362(19):1795-803. doi: 10.1056/NEJMoa0907667. — View Citation

Lai EJ, Calderwood AH, Doros G, Fix OK, Jacobson BC. The Boston bowel preparation scale: a valid and reliable instrument for colonoscopy-oriented research. Gastrointest Endosc. 2009 Mar;69(3 Pt 2):620-5. doi: 10.1016/j.gie.2008.05.057. Epub 2009 Jan 10. — View Citation

Lauby-Secretan B, Vilahur N, Bianchini F, Guha N, Straif K; International Agency for Research on Cancer Handbook Working Group. The IARC Perspective on Colorectal Cancer Screening. N Engl J Med. 2018 May 3;378(18):1734-1740. doi: 10.1056/NEJMsr1714643. Epub 2018 Mar 26. — View Citation

le Clercq CM, Bouwens MW, Rondagh EJ, Bakker CM, Keulen ET, de Ridder RJ, Winkens B, Masclee AA, Sanduleanu S. Postcolonoscopy colorectal cancers are preventable: a population-based study. Gut. 2014 Jun;63(6):957-63. doi: 10.1136/gutjnl-2013-304880. Epub 2013 Jun 6. — View Citation

Lee CK, Park DI, Lee SH, Hwangbo Y, Eun CS, Han DS, Cha JM, Lee BI, Shin JE. Participation by experienced endoscopy nurses increases the detection rate of colon polyps during a screening colonoscopy: a multicenter, prospective, randomized study. Gastrointest Endosc. 2011 Nov;74(5):1094-102. doi: 10.1016/j.gie.2011.06.033. Epub 2011 Sep 1. — View Citation

Levin TR, Zhao W, Conell C, Seeff LC, Manninen DL, Shapiro JA, Schulman J. Complications of colonoscopy in an integrated health care delivery system. Ann Intern Med. 2006 Dec 19;145(12):880-6. — View Citation

Misawa M, Kudo SE, Mori Y, Cho T, Kataoka S, Yamauchi A, Ogawa Y, Maeda Y, Takeda K, Ichimasa K, Nakamura H, Yagawa Y, Toyoshima N, Ogata N, Kudo T, Hisayuki T, Hayashi T, Wakamura K, Baba T, Ishida F, Itoh H, Roth H, Oda M, Mori K. Artificial Intelligence-Assisted Polyp Detection for Colonoscopy: Initial Experience. Gastroenterology. 2018 Jun;154(8):2027-2029.e3. doi: 10.1053/j.gastro.2018.04.003. Epub 2018 Apr 11. — View Citation

Mori Y, Kudo SE, Misawa M, Saito Y, Ikematsu H, Hotta K, Ohtsuka K, Urushibara F, Kataoka S, Ogawa Y, Maeda Y, Takeda K, Nakamura H, Ichimasa K, Kudo T, Hayashi T, Wakamura K, Ishida F, Inoue H, Itoh H, Oda M, Mori K. Real-Time Use of Artificial Intelligence in Identification of Diminutive Polyps During Colonoscopy: A Prospective Study. Ann Intern Med. 2018 Sep 18;169(6):357-366. doi: 10.7326/M18-0249. Epub 2018 Aug 14. — View Citation

Parekh PJ, Oldfield EC 4th, Johnson DA. Bowel preparation for colonoscopy: what is best and necessary for quality? Curr Opin Gastroenterol. 2019 Jan;35(1):51-57. doi: 10.1097/MOG.0000000000000494. Review. — View Citation

Rex DK, Schoenfeld PS, Cohen J, Pike IM, Adler DG, Fennerty MB, Lieb JG 2nd, Park WG, Rizk MK, Sawhney MS, Shaheen NJ, Wani S, Weinberg DS. Quality indicators for colonoscopy. Am J Gastroenterol. 2015 Jan;110(1):72-90. doi: 10.1038/ajg.2014.385. Epub 2014 Dec 2. — View Citation

Rex DK. Maximizing detection of adenomas and cancers during colonoscopy. Am J Gastroenterol. 2006 Dec;101(12):2866-77. Review. — View Citation

Rutter CM, Johnson E, Miglioretti DL, Mandelson MT, Inadomi J, Buist DS. Adverse events after screening and follow-up colonoscopy. Cancer Causes Control. 2012 Feb;23(2):289-96. doi: 10.1007/s10552-011-9878-5. Epub 2011 Nov 22. — View Citation

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van Rijn JC, Reitsma JB, Stoker J, Bossuyt PM, van Deventer SJ, Dekker E. Polyp miss rate determined by tandem colonoscopy: a systematic review. Am J Gastroenterol. 2006 Feb;101(2):343-50. Review. — View Citation

Wang P, Berzin TM, Glissen Brown JR, Bharadwaj S, Becq A, Xiao X, Liu P, Li L, Song Y, Zhang D, Li Y, Xu G, Tu M, Liu X. Real-time automatic detection system increases colonoscopic polyp and adenoma detection rates: a prospective randomised controlled study. Gut. 2019 Oct;68(10):1813-1819. doi: 10.1136/gutjnl-2018-317500. Epub 2019 Feb 27. — View Citation

Winawer SJ, Zauber AG, Ho MN, O'Brien MJ, Gottlieb LS, Sternberg SS, Waye JD, Schapiro M, Bond JH, Panish JF, et al. Prevention of colorectal cancer by colonoscopic polypectomy. The National Polyp Study Workgroup. N Engl J Med. 1993 Dec 30;329(27):1977-81. — View Citation

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* Note: There are 35 references in allClick here to view all references

Outcome

Type Measure Description Time frame Safety issue
Other Advanced adenoma detection rate (AADR) using Ultivision AI software in subjects undergoing screening standard high definition white light colonoscopy (SHDWLC) versus screening SHDWLC without AI. Advanced adenoma detection rate (AADR) on SHDWLC using AI versus SHDWLC without AI. through study completion, an average of 1 year
Other Sessile serrated adenoma/polyp (SSA/P) detection rate using Ultivision AI software in subjects undergoing screening standard high definition white light colonoscopy (SHDWLC) versus screening SHDWLC without AI. Sessile serrated adenoma/polyp (SSA/P) detection rate on SHDWLC using AI versus SHDWLC without AI. through study completion, an average of 1 year
Other Polyp detection rate using Ultivision AI software in subjects undergoing screening standard high definition white light colonoscopy (SHDWLC) versus screening SHDWLC without AI. Polyp detection rate on SHDWLC using AI versus SHDWLC without AI. through study completion, an average of 1 year
Other Flat versus polypoid lesion detection rate using Ultivision AI software in subjects undergoing screening standard high definition white light colonoscopy (SHDWLC) versus screening SHDWLC without AI. Flat versus polypoid lesion detection rate on SHDWLC AI versus SHDWLC without AI. through study completion, an average of 1 year
Other Polyp location distribution using Ultivision AI software in subjects undergoing screening standard high definition white light colonoscopy (SHDWLC) versus screening SHDWLC without AI. Polyp location distribution on SHDWLC using AI versus SHDWLC without AI. through study completion, an average of 1 year
Other Surveillance-irrelevant lesion (SIL) and surveillance-relevant lesion (SRL) detection rate using Ultivision AI software in subjects undergoing screening standard high definition white light colonoscopy (SHDWLC) versus screening SHDWLC without AI. Surveillance-irrelevant lesion (SIL) and surveillance-relevant lesion (SRL) detection rates using SHDWLC AI versus SHDWLC without AI. through study completion, an average of 1 year
Other Post colonoscopy recommended surveillance follow-up interval using Ultivision AI software in subjects undergoing screening standard high definition white light colonoscopy (SHDWLC) versus screening SHDWLC without AI. Recommended surveillance interval after using SHDWLC AI versus SHDWLC without AI. through study completion, an average of 1 year
Other Colonoscope withdrawal time using Ultivision AI software in subjects undergoing screening standard high definition white light colonoscopy (SHDWLC) versus screening SHDWLC without AI. Colonoscope withdrawal time using SHDWLC AI versus SHDWLC without AI. through study completion, an average of 1 year
Primary Overall adenoma detection, as defined by the protocol, using Ultivision AI software in subjects undergoing screening standard high definition white light colonoscopy (SHDWLC) versus screening SHDWLC without AI. The primary efficacy endpoint is the mean adenomas per colonoscopy procedure (MAP) detection, as defined by the protocol, with Ultivision AI software enhancement to screening standard high definition white light colonoscopy (SHDWLC) versus screening SHDWLC without AI. through study completion, an average of 1 year
Primary Overall adenomas per extraction, as defined by the protocol, using Ultivision AI software in subjects undergoing screening standard hiigh definition white light colonoscopy (SHDWLC) versus screening SHDWLC without AI. The primary safety endpoint is the adenomas per extraction per colonoscopy procedure (APE), as defined by the protocol, using Ultivision AI software in subjects undergoing screening standard high definition white light colonoscopy (SHDWLC) versus SHDWLC without AI. through study completion, an average of 1 year
Secondary Adenoma detection rate, as defined by the protocol, using Ultivision AI software in subjects undergoing screening standard high definition white light colonoscopy (SHDWLC) versus screening SHDWLC without AI. The secondary efficacy endpoint is the adenoma detection rate (ADR) defined as the ratio of screening colonoscopies with at least one adenoma, as defined by the protocol, detected divided by the total number of screening SHDWLC performed with Ultivision AI versus screening SHDWLC performed without AI. through study completion, an average of 1 year
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