Value of green sign and chicken skin aspects for detecting malignancy of colorectal neoplasia in a prospective characterization study

Author:

Lafeuille Pierre1ORCID,Rivory Jérôme1,Lupu Alexandru1,Rostain Florian1,Jacques Jeremie2,Wallenhorst Thimothee3,Bartoli Adrien,Torti Serge4,Fenouil Tanguy5,Moll Frederic1,Subtil Fabien1,Pioche Mathieu1

Affiliation:

1. Gastroenterology Department, Edouard Herriot Hospital, Lyon, France

2. Gastroenterology Department, CHU Dupuytren, Limoges, France

3. Gastroenterology Department, CHU Rennes, Rennes, France

4. Yansys Medical, Vichy, France

5. Institute of Pathology Est, Hospices Civils de Lyon, Lyon, France

Abstract

Abstract Background and study aims Accurate endoscopic characterization of colorectal lesions is essential for predicting histology but is difficult even for experts. Simple criteria could help endoscopists to detect and predict malignancy. The aim of this study was to evaluate the value of the green sign and chicken skin aspects in detection of malignant colorectal neoplasia. Patients and methods We prospectively characterized and evaluated the histology of all consecutive colorectal lesions detected during screening or referred for endoscopic resection (Pro-CONECCT study). We evaluated the diagnostic accuracy of the green sign and chicken skin aspects for detection of superficial and deep invasive lesions. Results 461 patients with 803 colorectal lesions were included. The green sign had a negative predictive value of 89.6% (95% confidence interval [CI] 87.1%–91.8%) and 98.1% (95% CI 96.7%-99.0%) for superficial and deep invasive lesions, respectively. In contrast to chicken skin, the green sign showed additional value for detection of both lesion types compared with the CONECCT classification and chicken skin (adjusted odds ratio [OR] for superficial lesions 5.9; 95% CI 3.4–10.2; P <0.001), adjusted OR for deep lesions 9.0; 95% CI 3.9–21.1; P <0.001). Conclusions The green sign may be associated with malignant colorectal neoplasia. Targeting these areas before precise analysis of the lesion could be a way of improving detection of focal malignancies and prediction of the most severe histology.

Publisher

Georg Thieme Verlag KG

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