Computer Assisted Optical Assessment of Small Colorectal Polyps

Colonic Polyps Clinical Trial

Clinical Trial Details — Status: Active, not recruiting

Administrative data

• NCT number: NCT02522702
• Other study ID #: COACH
• Status: Active, not recruiting
• Phase: N/A
• First received: August 8, 2015
• Last updated: April 8, 2017
• Start date: August 2015
• Est. completion date: August 2017

Study information

• Verified date: April 2017
• Source: Technische Universität München
• Contact: n/a
• Is FDA regulated: No
• Study type: Observational

Clinical Trial Summary

The aim of the study is to develop a computer program which is able to distinguish between adenomatous and non- adenomatous polyps on the basis of optical features of the polyps. Still images of polyps (< 10 mm of size) will be collected during routine colonoscopy procedures. All polyps will be resected endoscopically so that histopathological diagnoses (gold standard) can be notified.

In the validation phase of the study a computer program will be established which aims to distinguish between adenomatous and non- adenomatous polyps on the basis of optical features derived from still images. The program will operated using the the random forest learning method. Afterwards, in the testing phase of the study, still images of 100 polyps (not used in the validation phase) will be presented to the computer program. The establishment of a well- functioning computer program is the primary aim of the study.

Description:

Adenomas are polyps of the colorectum that have the potential to develop into colon cancer [1]. However, some adenomas never become malignant and if they do, progression from adenoma into cancer usually takes a long time. As a result, screening colonoscopy programs were established in order to detect and resect adenomas at an early stage [2]. After resection, polyps should be sent to pathology in order to make a histological diagnosis. Not every colorectal polyp has adenomatous histology. Approximately 40-50% of all polyps contain other benign histology (e.g. hyperplastic or inflammatory polyps). These polyps do not bear the risk of colon cancer.

The implementation of screening programs has led to increasing numbers of colonoscopies in the last years [3]. This approach naturally implies higher amounts of detected polyps. The removal of these polyps and consultation of a pathologist in order to make a diagnosis is time consuming and expensive. An optical- based prediction of polyp histology (adenomatous versus non- adenomatous) would enable endoscopists to save money and to inform patients faster about examination results. The approach of predicting polyp histology on the basis of optical features is called the "optical biopsy" method. The prediction is made by the endoscopists during real-time colonoscopy. The aim of this strategy is to make an optical diagnosis which enables users to resect polyps without sending the specimen to pathology. Narrow Band Imaging (NBI) is a light-filter device which can be switched on during colonoscopy. NBI is useful to better display vascular patterns of the colon mucosa. It has been shown that the use of NBI can facilitate optical classification of colorectal polyps [5]. A NBI- based classification schemes exists which can be used to assign polyps into specific polyp categories (adenomatous versus non- adenomatous) [6].

Prior to the implementation of the optical classification approach for routine use in endoscopy it is necessary to proof its feasibility and accuracy [7]. Otherwise the approach would entail the risk of wrong diagnoses which could lead to wrong recommendations on further diagnostic or therapeutic steps.

Until now, some clinical trials have shown good accuracy for the optical biopsy method [5]. However, there is growing evidence that optical biopsy does not yet meet demanded accuracy thresholds [8]. The aim of our study is to create a computer program that is able to distinguish between adenomatous and non-adenomatous polyps. Still images of colorectal polyps including NBI- pictures of polyps will be used for machine learning (validation phase). Afterwards a set of 100 still pictures will be used to test whether the computer program is able to distinguish between adenomatous and non- adenomatous polyps (primary endpoint). Statistical measures (accuracy, sensitivity, specificity) will be calculated.

Recruitment information / eligibility

• Status: Active, not recruiting
• Enrollment: 250
• Est. completion date: August 2017
• Est. primary completion date: January 2017
• Accepts healthy volunteers: No
• Gender: All
• Age group: 18 Years and older

Eligibility

Inclusion Criteria:

• indication for colonoscopy

• patients >= 18 years

Exclusion Criteria:

• pregnant women

• indication for colonoscopy: inflammatory bowel disease

• indication for colonoscopy: polyposis syndrome

• indication for colonoscopy: emergency colonoscopy e.g. acute bleeding

• contraindication for polyp resection e.g. patients on warfarin

Related Conditions & MeSH terms

• Colonic Polyps
• Polyps

Intervention

Other:
• Photography of polyps, resection of polyps
Ther is no study specific intervention. Still images will be taken if polyps are found in the colon. Polyps will then be resected routinely.

Locations

Country	Name	City	State
Germany	II Medizinische Klinik am Klinikum rechts der Isar der Technischen Universität München München, Deutschland Germany	Munich

Sponsors (1)

Lead Sponsor	Collaborator
Technische Universität München

Country where clinical trial is conducted

Germany, 

References & Publications (8)

ASGE Technology Committee., Abu Dayyeh BK, Thosani N, Konda V, Wallace MB, Rex DK, Chauhan SS, Hwang JH, Komanduri S, Manfredi M, Maple JT, Murad FM, Siddiqui UD, Banerjee S. 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. 2015 Mar;81(3):502.e1-502.e16. doi: 10.1016/j.gie.2014.12.022. Epub 2015 Jan 16. Review. — View Citation

Brenner H, Altenhofen L, Stock C, Hoffmeister M. Prevention, early detection, and overdiagnosis of colorectal cancer within 10 years of screening colonoscopy in Germany. Clin Gastroenterol Hepatol. 2015 Apr;13(4):717-23. doi: 10.1016/j.cgh.2014.08.036. Epub 2014 Sep 15. — View Citation

Hewett DG, Kaltenbach T, Sano Y, Tanaka S, Saunders BP, Ponchon T, Soetikno R, Rex DK. Validation of a simple classification system for endoscopic diagnosis of small colorectal polyps using narrow-band imaging. Gastroenterology. 2012 Sep;143(3):599-607.e1. doi: 10.1053/j.gastro.2012.05.006. Epub 2012 May 15. — 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

Kang HY, Kim YS, Kang SJ, Chung GE, Song JH, Yang SY, Lim SH, Kim D, Kim JS. Comparison of Narrow Band Imaging and Fujinon Intelligent Color Enhancement in Predicting Small Colorectal Polyp Histology. Dig Dis Sci. 2015 Sep;60(9):2777-84. doi: 10.1007/s10620-015-3661-5. Epub 2015 Apr 14. — View Citation

Lopez-Ceron M, Sanabria E, Pellise M. Colonic polyps: is it useful to characterize them with advanced endoscopy? World J Gastroenterol. 2014 Jul 14;20(26):8449-57. doi: 10.3748/wjg.v20.i26.8449. Review. — View Citation

Stock C, Haug U, Brenner H. Population-based prevalence estimates of history of colonoscopy or sigmoidoscopy: review and analysis of recent trends. Gastrointest Endosc. 2010 Feb;71(2):366-381.e2. doi: 10.1016/j.gie.2009.06.018. Epub 2009 Oct 20. Review. — View Citation

Vogelstein B, Fearon ER, Hamilton SR, Kern SE, Preisinger AC, Leppert M, Nakamura Y, White R, Smits AM, Bos JL. Genetic alterations during colorectal-tumor development. N Engl J Med. 1988 Sep 1;319(9):525-32. — View Citation

Outcome

Type	Measure	Description	Time frame	Safety issue
Primary	Assessment of the computer- made optical diagnosis of each colorectal polyp	The predicted polyp histology (made optically by the computer program) will be assessed; the predicted diagnosis will be compared with the histopathological diagnosis (gold standard) after resection of the polyp; (participants will be followed for the duration of hospital stay or outpatient treatment, an expected average of 2 weeks)] [Safety Issue: No] After obtaining the histopathological diagnosis of resected polyps (approximately 3 days - 2 weeks)	up to 2 weeks