Dual Red Imaging Maintains Clear Visibility During Colorectal Endoscopic Submucosal Dissection View Full Text


Ontology type: schema:ScholarlyArticle     


Article Info

DATE

2019-01

AUTHORS

Hidenori Tanaka, Shiro Oka, Shinji Tanaka, Kenta Matsumoto, Kazuki Boda, Ken Yamashita, Daiki Hirano, Kyoku Sumimoto, Yuzuru Tamaru, Yuki Ninomiya, Nana Hayashi, Kazuaki Chayama

ABSTRACT

BACKGROUND: The endoscopic lens becomes clouded and its visibility reduces during colorectal endoscopic submucosal dissection (ESD), especially in cases with submucosal fatty tissue. Dual red imaging (DRI) is a novel image-enhanced endoscopic technique that improves endoscopic visibility. AIMS: This study aimed to evaluate the predictive factors of submucosal fatty tissue and the clinical usefulness of DRI in maintaining clear visibility during colorectal ESD. METHODS: The study participants included 586 consecutive patients with 645 colorectal tumors who underwent ESD between January 2014 and July 2017. First, the degree of submucosal fatty tissue was evaluated by reviewing recorded images, and the clinical characteristics of the patients and tumors related to severe submucosal fatty tissue were evaluated. Second, 34 tumors resected using DRI were propensity score-matched in a 1:1 ratio to other resected tumors using white light imaging (WLI), and the degree of endoscope lens cloudiness and clinical outcomes were evaluated. RESULTS: The proportion of tumors located in the right side of the colon, body mass index (≥ 25, BMI), and hemoglobin A1c (≥ 6.5%, HbA1c) were significantly higher in patients with severe submucosal fatty tissue. The visibility in the DRI group was significantly better than in the WLI group. Treatment outcomes in the DRI group were as good as those in the WLI group. CONCLUSIONS: Tumor location in the right side of the colon, BMI (≥ 25), and HbA1c (≥ 6.5%) are the predictive factors of severe submucosal fatty tissue. DRI is useful in maintaining clear visibility during colorectal ESD, especially with submucosal fatty tissue. More... »

PAGES

224-231

References to SciGraph publications

  • 2016-10. Endoscopic submucosal dissection for anorectal tumor with hemorrhoids close to the dentate line: a multicenter study of Hiroshima GI Endoscopy Study Group in SURGICAL ENDOSCOPY
  • 2015-01. Technical difficulty according to location, and risk factors for perforation, in endoscopic submucosal dissection of colorectal tumors in SURGICAL ENDOSCOPY
  • 2015-05. Local Recurrence After Endoscopic Resection for Large Colorectal Neoplasia: A Multicenter Prospective Study in Japan in THE AMERICAN JOURNAL OF GASTROENTEROLOGY
  • 2017-12. Short-term Prospective Questionnaire Study of Early Postoperative Quality of Life After Colorectal Endoscopic Submucosal Dissection in DIGESTIVE DISEASES AND SCIENCES
  • 2015-03. Evidence-based clinical practice guidelines for management of colorectal polyps in JOURNAL OF GASTROENTEROLOGY
  • 2016-03. Long-term outcomes after treatment for T1 colorectal carcinoma in INTERNATIONAL JOURNAL OF COLORECTAL DISEASE
  • 2014-10. Factors associated with technical difficulties and adverse events of colorectal endoscopic submucosal dissection: retrospective exploratory factor analysis of a multicenter prospective cohort in INTERNATIONAL JOURNAL OF COLORECTAL DISEASE
  • 2017-05. Dual red imaging (novel advanced endoscopy) can increase visibility and can predict the depth in diagnosing esophageal varices in JOURNAL OF GASTROENTEROLOGY
  • 2017-11. Long-term outcomes after treatment for T1 colorectal carcinoma: a multicenter retrospective cohort study of Hiroshima GI Endoscopy Research Group in JOURNAL OF GASTROENTEROLOGY
  • Identifiers

    URI

    http://scigraph.springernature.com/pub.10.1007/s10620-018-5306-y

    DOI

    http://dx.doi.org/10.1007/s10620-018-5306-y

    DIMENSIONS

    https://app.dimensions.ai/details/publication/pub.1107410488

    PUBMED

    https://www.ncbi.nlm.nih.gov/pubmed/30284651


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