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Dataset Information

Development and validation of an ultrasound-based prediction model for differentiating between malignant and benign solid pancreatic lesions.


ABSTRACT:

Objective

To identify the diagnostic ability of precontrast and contrast-enhanced ultrasound (CEUS) in differentiating between malignant and benign solid pancreatic lesions (MSPLs and BSPLs) and to develop an easy-to-use diagnostic nomogram.

Materials and methods

This study was approved by the institutional review board. Patients with pathologically confirmed solid pancreatic lesions were enrolled from one tertiary medical centre from March 2011 to June 2021 and in two tertiary institutions between January 2015 and June 2021. A prediction nomogram model was established in the training set by using precontrast US and CEUS imaging features that were independently associated with MSPLs. The performance of the prediction model was further externally validated.

Results

A t

SUBMITTER: Huang J 

PROVIDER: S-EPMC9705429 | biostudies-literature | 2022 Dec

REPOSITORIES: biostudies-literature