CT Image-assisted Detection Software for Focal Liver Lesions

Second Affiliated Hospital, School of Medicine, Zhejiang University376 enrolled

Overview

To evaluate the safety and effectiveness of the developed and produced CT image-assisted detection software for focal liver lesions before being put into the market.

Study Type

INTERVENTIONAL

Allocation

RANDOMIZED

Purpose

DIAGNOSTIC

Masking

SINGLE

Enrollment

376

Conditions

Focal Liver Lesion

Interventions

CT image-assisted detection softwareDEVICE

CT image-assisted detection software can help doctor to diagnosis the focal liver lesion

Eligibility

Sex: ALLMin age: 18 Years

Medical Language ↔ Plain English

Inclusion Criteria: * doctors have liver CT scanning experience more than 1 year; Exclusion Criteria: * persons don't have the license of practicing physician; doctors don't have liver CT scanning experience or have liver CT scanning experience less than 1 year;

Locations (1)

2nd Affiliated Hospital, School of Medicine, Zhejiang University

Hangzhou, Zhejiang, China

Outcomes

Primary Outcomes

AFROC

Under different confidence scores, the number of accurately located lesions/the number of true lesions determined by the reference standard was taken as the ordinate coordinate, and (1- the number of negative cases determined by the reference standard/the total number of true negative cases diagnosed by the reference standard) was plotted as the horizontal coordinate

Time frame: 1 year

Data from ClinicalTrials.gov

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