Establishing Automatic Method of Counting and Classify Bone Marrow and Peripheral Blood Cells

March 9, 2022 updated by: National Taiwan University Hospital
Counting and classification of blood cells in a bone marrow smear and peripheral blood smear are essential to clinical hematology. To this date, this procedure has been carried out in a manual manner in the great majority of clinical settings. There is often inconsistency in the counting result between different operators largely due to its manual nature. There has not been an effective and standard method for blood smear preparation and automatic counting and classification. The recent advent of deep neural network for medical image processing introduced new opportunities for an effective solution of this long-standing problem. Numerous results have been published on the effectiveness of convolutional neural network in clinical image recognition task.

Study Overview

Study Type

Observational

Enrollment (Anticipated)

900

Contacts and Locations

This section provides the contact details for those conducting the study, and information on where this study is being conducted.

Study Contact

Study Locations

      • Taipei, Taiwan
        • Recruiting
        • National Taiwan University Tai-Chen Cell Therapy Center
        • Contact:

Participation Criteria

Researchers look for people who fit a certain description, called eligibility criteria. Some examples of these criteria are a person's general health condition or prior treatments.

Eligibility Criteria

Ages Eligible for Study

20 years and older (Adult, Older Adult)

Accepts Healthy Volunteers

No

Genders Eligible for Study

All

Sampling Method

Probability Sample

Study Population

Patients who have suspected or confirmed hematological diseases and receive bone marrow or peripheral blood cell morphological examination in National Taiwan University Cancer Center

Description

Inclusion Criteria:

  • Patients who have suspected or confirmed hematological diseases and receive bone
  • marrow or peripheral blood cell morphological examination in National Taiwan University Cancer Center
  • Patients who are aged more than 20 y/o

Exclusion Criteria:

•Patients who are not willing to sign informed consents

Study Plan

This section provides details of the study plan, including how the study is designed and what the study is measuring.

How is the study designed?

Design Details

What is the study measuring?

Primary Outcome Measures

Outcome Measure
Time Frame
Evaluate the accuracy of cell counting and classifying between automatic method and manual method through digital microscopic photos of bone marrow smear and peripheral blood smear using deep convolutional neural networks
Time Frame: 3 years
3 years

Collaborators and Investigators

This is where you will find people and organizations involved with this study.

Study record dates

These dates track the progress of study record and summary results submissions to ClinicalTrials.gov. Study records and reported results are reviewed by the National Library of Medicine (NLM) to make sure they meet specific quality control standards before being posted on the public website.

Study Major Dates

Study Start (Actual)

August 28, 2020

Primary Completion (Anticipated)

December 31, 2023

Study Completion (Anticipated)

December 31, 2023

Study Registration Dates

First Submitted

August 27, 2020

First Submitted That Met QC Criteria

September 10, 2020

First Posted (Actual)

September 16, 2020

Study Record Updates

Last Update Posted (Actual)

March 10, 2022

Last Update Submitted That Met QC Criteria

March 9, 2022

Last Verified

March 1, 2022

More Information

Terms related to this study

Additional Relevant MeSH Terms

Other Study ID Numbers

  • 202007086RIPB

Plan for Individual participant data (IPD)

Plan to Share Individual Participant Data (IPD)?

UNDECIDED

Drug and device information, study documents

Studies a U.S. FDA-regulated drug product

No

Studies a U.S. FDA-regulated device product

No

This information was retrieved directly from the website clinicaltrials.gov without any changes. If you have any requests to change, remove or update your study details, please contact register@clinicaltrials.gov. As soon as a change is implemented on clinicaltrials.gov, this will be updated automatically on our website as well.

Clinical Trials on Hematologic Diseases

Clinical Trials on there are not any interventions in this study

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