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Retrospective Study on Automatic Identification of Pseudothrombocytopenia by Analyzing PLT-F Channel Scatter Plots Using Convolutional Neural Networks

Retrospective Study on Automatic Identification of Pseudothrombocytopenia by Analyzing PLT-F Channel Scatter Plots Using Convolutional Neural Networks

Status
Active, not recruiting
Phases
Unknown
Study type
Observational
Source
ChiCTR
Registry ID
ChiCTR2500114088
Enrollment
Unknown
Registered
2025-12-08
Start date
2025-12-10
Completion date
Unknown
Last updated
2025-12-15

For informational purposes only — not medical advice. Sourced from public registries and may not reflect the latest updates. Terms

Conditions

Pseudothrombocytopenia(PTCP)

Interventions

Gold Standard:Platelet Count, Blood Smear Examination and Reference Change Value (RCV) calculation
Index test: Analyzing PLT-F Channel Scatter Plots Using Convolutional Neural Networks

Sponsors

Shanghai Changhai Hospital
Lead Sponsor

Eligibility

Sex/Gender
All
Age
18 Years to 90 Years

Inclusion criteria

Inclusion criteria: Subjects must meet all? of the following criteria: (1) Outpatient CBC samples with a platelet count <100×10^9/L (as measured by a Sysmex XN series analyzer). (2) Data completeness: availability of FCS files and well-documented smear review results.

Exclusion criteria

Exclusion criteria: Subjects will be excluded if they meet any? of the following criteria: (1) Lack of reflex testing using the PLT-F channel. (2) Absence of gold standard verification.

Design outcomes

Primary

MeasureTime frame
Area Under the Curve;—

Secondary

MeasureTime frame
Sensitivity;Specificity;Positive Predictive Value;Negative Predictive Value;—

Countries

China

Contacts

Public ContactZhengyu Zhou

Shanghai Changhai Hospital

850843066@qq.com+86 138 1864 6106

Outcome results

None listed

Source: ChiCTR (via WHO ICTRP) · Data processed: Feb 4, 2026