Endocytoscopic microvasculature evaluation is a reliable new diagnostic method for colorectal lesions (with video).
Gastrointest Endosc
; 82(5): 912-23, 2015 Nov.
Article
em En
| MEDLINE
| ID: mdl-26071058
BACKGROUND: We previously reported on the efficacy of endocytoscopic classification (EC-C). However, the correlation of the endocytoscopic vascular (EC-V) pattern with diagnoses was unclear. OBJECTIVE: To assess the diagnostic accuracy of the EC-V pattern for colorectal lesions. DESIGN: Retrospective. SETTING: A university hospital. PATIENTS: Patients who underwent endocytoscopy between January 2010 and March 2013. INTERVENTION: We evaluated 198 consecutive lesions according to the EC-V pattern (EC-V1, obscure surface microvessels; EC-V2, clearly observed surface microvessels of a uniform caliber and arrangement; and EC-V3, dilated surface microvessels of a nonhomogeneous caliber or arrangement). MAIN OUTCOME MEASUREMENTS: The diagnostic accuracy for predicting hyperplastic polyps and invasive cancer were compared between the EC-V pattern and other modalities (narrow-band imaging, pit pattern, and EC-C). RESULTS: The sensitivity, specificity, and accuracy of the EC-V1 pattern for diagnosing hyperplastic polyps were 95.5%, 99.4%, and 99.0%, respectively. The sensitivity, specificity, and accuracy of the EC-V3 pattern for diagnosing invasive cancer were 74.6%, 97.2%, and 88.6%, respectively. The diagnostic accuracy of the EC-V pattern for predicting hyperplastic polyps was comparable to the other modalities. For predicting invasive cancer, the EC-V pattern was comparable to narrow-band imaging and pit pattern, although EC-C was slightly more accurate (P = .04). In the substudy, the diagnosis time by using the EC-V pattern was shorter than that with the EC-C pattern (P < .001). LIMITATIONS: A single-center, retrospective study. CONCLUSIONS: The EC-V pattern saved more time than the EC-C pattern and had a diagnostic ability comparable to that of other optical biopsy modalities.
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Assunto principal:
Biópsia
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Capilares
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Interpretação de Imagem Assistida por Computador
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Neoplasias Colorretais
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Colonoscopia
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Microscopia Confocal
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Microcirculação
Idioma:
En
Ano de publicação:
2015
Tipo de documento:
Article