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Prediction of technically difficult endoscopic submucosal dissection for large superficial colorectal tumors: a novel clinical score model.
Li, Bing; Shi, Qiang; Xu, En-Pan; Yao, Li-Qing; Cai, Shi-Lun; Qi, Zhi-Peng; Sun, Di; He, Dong-Li; Yalikong, Ayimukedisi; Lv, Zhen-Tao; Zhou, Ping-Hong; Zhong, Yun-Shi.
Afiliação
  • Li B; Endoscopy Center, Zhongshan Hospital of Fudan University, Shanghai, China; Endoscopy Research Institute of Fudan University, Shanghai, China.
  • Shi Q; Endoscopy Center, Zhongshan Hospital of Fudan University, Shanghai, China; Endoscopy Research Institute of Fudan University, Shanghai, China.
  • Xu EP; Endoscopy Center, Zhongshan Hospital of Fudan University, Shanghai, China; Endoscopy Research Institute of Fudan University, Shanghai, China.
  • Yao LQ; Endoscopy Center, Zhongshan Hospital of Fudan University, Shanghai, China; Endoscopy Research Institute of Fudan University, Shanghai, China.
  • Cai SL; Endoscopy Center, Zhongshan Hospital of Fudan University, Shanghai, China; Endoscopy Research Institute of Fudan University, Shanghai, China.
  • Qi ZP; Endoscopy Center, Zhongshan Hospital of Fudan University, Shanghai, China; Endoscopy Research Institute of Fudan University, Shanghai, China.
  • Sun D; Endoscopy Center, Zhongshan Hospital of Fudan University, Shanghai, China; Endoscopy Research Institute of Fudan University, Shanghai, China.
  • He DL; Endoscopy Center, Xuhui Hospital, Zhongshan Hospital of Fudan University, Shanghai, China.
  • Yalikong A; Endoscopy Center, Zhongshan Hospital of Fudan University, Shanghai, China; Endoscopy Research Institute of Fudan University, Shanghai, China.
  • Lv ZT; Endoscopy Center, Zhongshan Hospital of Fudan University, Shanghai, China; Endoscopy Research Institute of Fudan University, Shanghai, China.
  • Zhou PH; Endoscopy Center, Zhongshan Hospital of Fudan University, Shanghai, China; Endoscopy Research Institute of Fudan University, Shanghai, China.
  • Zhong YS; Endoscopy Center, Zhongshan Hospital of Fudan University, Shanghai, China; Endoscopy Research Institute of Fudan University, Shanghai, China.
Gastrointest Endosc ; 94(1): 133-144.e3, 2021 07.
Article em En | MEDLINE | ID: mdl-33221323
ABSTRACT
BACKGROUND AND

AIMS:

Endoscopic submucosal dissection (ESD) is a promising technique for removing superficial GI tumors, but ESD is technically difficult. The aim of this study was to establish a clinical score model for grading technically difficult colorectal ESD.

METHODS:

Data on patients, lesions, and outcomes of colorectal ESD at 2 centers were analyzed. The objective parameter of successful ESD within 60 minutes was set as an endpoint to evaluate the difficulty. Independent predictors of difficulty in the derivation cohort were identified by multiple logistic regression analysis and used to develop a clinical score. We validated the score model in the validation cohort.

RESULTS:

The clinical score comprised tumor size of 30 to 50 mm (1 point) or ≥50 mm (2 points), at least two-thirds circumference of the lesion (2 points), location in the cecum (1 point), flexure (2 points) or dentate line (1 point), and laterally spreading tumor nongranular lesions (1 point). Areas under the receiver operator characteristic curves for the score model were comparable (derivation [.70] vs internal validation [.69] vs external validation [.69]). The probability of successful ESD within 60 minutes in easy (score = 0), intermediate (score = 1), difficult (score = 2-3), and very difficult (score ≥4) categories were 75.0%, 51.3%, 35.6%, and 3.4% in the derivation cohort; 73.3%, 47.9%, 31.8%, and 16.7% in the internal validation cohort; and 79.5%, 66.7%, 43.3%, and 20.0% in the external validation cohort, respectively.

CONCLUSIONS:

This clinical score model accurately predicts the probability of successful ESD within 60 minutes and can be applied to grade the technical difficulty before the procedure.
Assuntos

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Neoplasias Colorretais / Ressecção Endoscópica de Mucosa Tipo de estudo: Observational_studies / Prognostic_studies / Risk_factors_studies Limite: Humans Idioma: En Ano de publicação: 2021 Tipo de documento: Article

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Neoplasias Colorretais / Ressecção Endoscópica de Mucosa Tipo de estudo: Observational_studies / Prognostic_studies / Risk_factors_studies Limite: Humans Idioma: En Ano de publicação: 2021 Tipo de documento: Article