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Diagnostic Efficiency of Artificial Intelligence for Surgical Neuropathology

NCT04671368 · Status: UNKNOWN · Phase: NA · Type: INTERVENTIONAL · Enrollment: 141

Last updated 2020-12-17

No results posted yet for this study

Summary

This is a multi-center, prospective, self-controlled, diagnostic accuracy comparative study of Artificial Intelligence Diagnostic System for Surgical Neuropathology. The investigators will compare the diagnostic efficiency of Artificial Intelligence with that of practicing pathologists, and suppose that the diagnostic efficiency of artificial intelligence in prospective clinical data is no less than that of pathologists.

Conditions

  • Central Nervous System Neoplasms

Interventions

DIAGNOSTIC_TEST

Artificial Intelligence

The investigators will use the Artificial Intelligence Diagnostic System to review the H＆E stained slide of each patient and then report the classification of the tumor on a 10-type scale.

DIAGNOSTIC_TEST

Practicing Pathologists

The ordinary pathologist will review the H＆E stained slide of each patient(without additional informations such as: Immunohistochemistry et al.) and then report the classification of the tumor on a 10-type scale only bases on the slide images

DIAGNOSTIC_TEST

Gold Standard

Firstly, the two expert pathologist(\>=10 years of experience) will review the H＆E stained slide of each patient on their own (with additional informations such as: Immunohistochemistry et al.) and then report the classification of the tumor on a 10-type scale.If they report the same opinion, that opinion will perform as the ground truth; while if their opinion clash with each other, the expert pathologist(\>=15 years of experience) will get involved and the agreement of three experts will perform as the ground truth

Sponsors & Collaborators

  • Jinsong Wu

    lead OTHER

Principal Investigators

  • Cuiyun Wu, Ph.D · Huashan Hospital

Study Design

Allocation
NON_RANDOMIZED
Purpose
DIAGNOSTIC
Masking
SINGLE
Model
PARALLEL

Eligibility

Min Age
18 Years
Sex
ALL
Healthy Volunteers
No

Timeline & Regulatory

Start
2021-02-28
Primary Completion
2022-02-28
Completion
2022-02-28

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Read the full study record

This page highlights key information. For complete eligibility criteria, study locations, investigator contacts, and the full protocol, visit the original record on ClinicalTrials.gov.

View NCT04671368 on ClinicalTrials.gov