NBIBLI: Accuracy for Predicting Deep Submucosal Invasion
Study Details
Study Description
Brief Summary
The main aim of this study is to determine whether the assessment of the invasive pattern based on NBI with dual focus/magnification or BLI with magnification ± chromoendoscopy (NBI+CE) for predicting deep invasion is significantly more accurate than the assessment based on white light endoscopy (WLE), carried out by trained endoscopists.
Condition or Disease | Intervention/Treatment | Phase |
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Detailed Description
A video with the lesion assessment, without any data on the patient, will be recorded in a device connected to the processor provided by the Principal Investigator. The name of the file will be the record ID. All the lesions will be tested by the same endoscopist in vivo and an assistant will fulfill the data collection sheet during the colonoscopy.
First, the lesions will be cleaned and observed in a stable position. Size, location, morphology, demarcated areas, and gross morphological malignant features will be evaluated. Based on these WLE characteristics, a deep invasion prediction will be performed (control test). Second, the lesion will be assessed using NBI with near focus or magnification or BLI with magnification. A second cleaning with pronase (or N-acetylcysteine if pronase is not available) if the surface cannot be clearly observed because of the presence of mucus or if crystal violet is going to be used. Crystal violet 0.05% will be used in case of polyps type 2B in the JNET classification or lesions with a demarcated area. A non-traumatic catheter (or spray catheter) will be used to spray the crystal violet over the lesion. A final prediction of deep invasion will be performed for NBI or BLI ± CE (test evaluated).
The use of a cap to observe the bottom of the lesion, fix the lesion close to the endoscope or to observe the lesion underwater immersion is strongly recommended.
The resection technique will be decided upon according to the local experience. In case of endoscopy resection (cold snare, EMR, ESD, full thickness), lesions will be removed via the anus (not through the endoscopy channel) in order to preserve their integrity. Although EMR is performed, if possible, lesions will be referred to the pathologist well oriented and pinned out on a cork based, as is standard procedure in ESD.
In order to ensure that endoscopic assessment is performed before the histology evaluation, both diagnostic assessments (control test and test evaluated) will be recorded on the REDCap database on the day of the colonoscopy. REDCap records the time and date of all changes in the variables' results. The remaining variables (demographic data, etc.) will be recorded on the data collection sheet and copied later into REDCap.
Videos of the lesion assessments will be sent to the Principal Investigator. Centralized visualization will be conducted to detect protocol violations and to exclude lesions from the study.
A blinded histology assessment will be conducted by the local pathologist and if a carcinoma with submucosal invasion is diagnosed, histology slides will be referred for an additional blinded and centralized histology evaluation at the end of the study.
Pathologists participating in the histological phase will assess all the slides with submucosal invasion and will collect the histological factors associated with lymph node metastasis.
Finally, investigators participating in the translational phase will refer paraffin blocks of 10 lesions of each JNET category (2A, 2B and 3) for genetic tests (sequencing of a panel of 45 genes and analysis of alterations in the number of copies of the genome).
Study Design
Arms and Interventions
Arm | Intervention/Treatment |
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Patients with colorectal polyps Patients with non-pedunculated type 0 lesions in Paris classification (not obvious cancers) larger than 10 mm |
Diagnostic Test: White light endoscopy (WLE)
Subjective endoscopic assessment of deep submucosal invasion based on the presence of gross morphological malignant features, morphology and size.
Diagnostic Test: NBI/BLI +/- chromoendoscopy (NBIBLI +/- CE)
Endoscopic assessment of deep submucosal invasion with NBI and dual focus/magnification or BLI and magnification. In the case of demarcated areas or JNET 2B, Kudo pit pattern assessment with crystal violet will be performed.
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Outcome Measures
Primary Outcome Measures
- The presence or absence of deep invasion according to the control test (WLE) [One day]
Deep invasion will subjectively be diagnosed based on the presence of gross morphological malignant features, morphology and size. No single malignant feature, specific morphology or size is required. The importance given to each criterion and the final diagnosis of deep invasion is based on the personal experience of the endoscopist.
- The presence or absence of deep invasion according to the test evaluated (NBI/BLI +/- CE) [One day]
Deep invasion will be diagnosed in case of: JNET type 3 or JNET 2B + Kudo Vn pit pattern or JNET 2B and Kudo Vi pit pattern fulfilling all the following criteria: severe Kudo Vi pit pattern + presence of a demarcated area + size (demarcated area) >6 mm for PG or 3 mm for NPG.
- The presence or absence of deep invasion according to the gold standard (histology) [One day]
Deep invasion will be diagnosed if sm invasion ≥1000 μm is measured according to the Japanese guidelines by the central pathologists.
Secondary Outcome Measures
- Presence of any genetic mutations [one day]
Sequencing of a panel of colorectal cancer genes: the 45 genes will be sequenced frequently mutated in colorectal cancer, through the protocols established in the center Executor: APC, TP53, FBXW7, SOX9, ATM, SMAD4, KRAS, PIK3CA, AMER1, FAT4, ARID1A, BRAF, NRAS, CTNNB1, TCF7L2, ERBB2, MET, EGFR, HRAS, SETD2, DLC1, CDKN2A, PTEN, ARID2, FAT1, POLE, POLD1, NOTCH1, BRCA2, LRP1B, KMT2C, KMT2D, DAPK1, CSMD1, MUC16, ADAMTS15, SYNE1, PCLO, ZFHX4, RYR3, RYR2, RELN, IRS2, GNAS, DMBT1.
- Number of genome copies using SNP-arrays [one day]
Number of copies using SNP-arrays.
Eligibility Criteria
Criteria
Inclusion criteria:
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Non-pedunculated type 0 lesions in Paris classification (not obvious cancers)
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Lesions larger than 10 mm
Exclusion criteria are:
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Lesions assessed as JNET 1 by the endoscopist or serrated by the pathologist
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Previous biopsy or resection attempt
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Previous CT, MR or USE
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Unavailable histology
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Inflammatory bowel disease
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Informed consent not obtained
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Protocol violation
Contacts and Locations
Locations
Site | City | State | Country | Postal Code | |
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1 | San Francisco Veterans Affairs Medical Center. University of California | San Francisco | California | United States | 94121 |
2 | University of North Carolina | Chapel Hill | North Carolina | United States | 27599 |
3 | National Cancer Center | Tokyo | Japan | 104-0045 | |
4 | Hospital Clínico Universitario Lozano Blesa | Zaragoza | Aragón | Spain | 50009 |
5 | Hospital Universitari Germans Trias i Pujol (Can Ruti) | Badalona | Cataluña | Spain | 08916 |
6 | Hospital Clínic de Barcelona | Barcelona | Cataluña | Spain | 08036 |
7 | Institut d'Investigacions Biomèdiques August Pi i Sunyer (IDIBAPS) | Barcelona | Cataluña | Spain | 08036 |
8 | Althaia. Xarxa Assistencial Universitària de Manresa | Manresa | Cataluña | Spain | 08243 |
9 | Hospital Universitario y Politécnico de La Fe | Valencia | Comunidad Valenciana | Spain | 46009 |
10 | Hospital Clinico Universitario Virgen de la Arrixaca | El Palmar | Murcia | Spain | 30120 |
11 | Hospital Comarcal de Alcañiz | Alcañiz | Teruel | Spain | 44600 |
12 | Centro Médico Teknon | Barcelona | Spain | 08022 | |
13 | Hospital Ramón y Cajal | Madrid | Spain | 28034 | |
14 | Hospital 12 de Octubre | Madrid | Spain | 28041 |
Sponsors and Collaborators
- Althaia Xarxa Assistencial Universitària de Manresa
- Hospital Universitario La Fe
- Hospital Clínico Universitario Lozano Blesa
- University of North Carolina, Chapel Hill
- Hospital Clinic of Barcelona
- National Cancer Center, Japan
- Germans Trias i Pujol Hospital
- Hospital Universitario 12 de Octubre
- Hospital Universitario Ramon y Cajal
- San Francisco Veterans Affairs Medical Center
- Hospital Universitario Virgen de la Arrixaca
- Hospital Comarcal de Alcañiz
- Centro Medico Teknon
Investigators
- Principal Investigator: Ignasi Puig, MD, PhD, Althaia Xarxa Assistencial Universitària de Manresa
Study Documents (Full-Text)
None provided.More Information
Publications
- Backes Y, Moss A, Reitsma JB, Siersema PD, Moons LM. Narrow Band Imaging, Magnifying Chromoendoscopy, and Gross Morphological Features for the Optical Diagnosis of T1 Colorectal Cancer and Deep Submucosal Invasion: A Systematic Review and Meta-Analysis. Am J Gastroenterol. 2017 Jan;112(1):54-64. doi: 10.1038/ajg.2016.403. Epub 2016 Sep 20. Review.
- Hayashi N, Tanaka S, Hewett DG, Kaltenbach TR, Sano Y, Ponchon T, Saunders BP, Rex DK, Soetikno RM. Endoscopic prediction of deep submucosal invasive carcinoma: validation of the narrow-band imaging international colorectal endoscopic (NICE) classification. Gastrointest Endosc. 2013 Oct;78(4):625-32. doi: 10.1016/j.gie.2013.04.185. Epub 2013 Jul 30.
- Puig I, López-Cerón M, Arnau A, Rosiñol Ò, Cuatrecasas M, Herreros-de-Tejada A, Ferrández Á, Serra-Burriel M, Nogales Ó, Vida F, de Castro L, López-Vicente J, Vega P, Álvarez-González MA, González-Santiago J, Hernández-Conde M, Díez-Redondo P, Rivero-Sánchez L, Gimeno-García AZ, Burgos A, García-Alonso FJ, Bustamante-Balén M, Martínez-Bauer E, Peñas B, Pellise M; EndoCAR group, Spanish Gastroenterological Association and the Spanish Digestive Endoscopy Society. Accuracy of the Narrow-Band Imaging International Colorectal Endoscopic Classification System in Identification of Deep Invasion in Colorectal Polyps. Gastroenterology. 2019 Jan;156(1):75-87. doi: 10.1053/j.gastro.2018.10.004. Epub 2018 Oct 6.
- Sano Y, Tanaka S, Kudo SE, Saito S, Matsuda T, Wada Y, Fujii T, Ikematsu H, Uraoka T, Kobayashi N, Nakamura H, Hotta K, Horimatsu T, Sakamoto N, Fu KI, Tsuruta O, Kawano H, Kashida H, Takeuchi Y, Machida H, Kusaka T, Yoshida N, Hirata I, Terai T, Yamano HO, Kaneko K, Nakajima T, Sakamoto T, Yamaguchi Y, Tamai N, Nakano N, Hayashi N, Oka S, Iwatate M, Ishikawa H, Murakami Y, Yoshida S, Saito Y. Narrow-band imaging (NBI) magnifying endoscopic classification of colorectal tumors proposed by the Japan NBI Expert Team. Dig Endosc. 2016 Jul;28(5):526-33. doi: 10.1111/den.12644. Epub 2016 Apr 20. Review.
- CEIC 18/53