Study on improving accuracy of lymphoma center invasion based on morphological AI of cerebrospinal fluid cells

Status

Active, not recruiting

Phases

Early Phase 1

Study type

Observational

Source

ChiCTR

Registry ID

ChiCTR2200059151

Enrollment

Unknown

Registered

2022-04-26

Start date

2022-05-01

Completion date

Unknown

Last updated

2024-02-19

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

Conditions

lymphoma

Interventions

Gold Standard:Flow cytometry revealed the presence of lymphoma cells in cerebrospinal fluid.

Index test:The sensitivity, specificity and accuracy of AI in lymphoma cell recognition were evaluated.

Eligibility

Sex/Gender

All

Age

15 Years to 80 Years

Inclusion criteria

Inclusion criteria: Lymphoma was diagnosed by pathology, and cerebrospinal fluid routine examination, liquid-based cell morphology, and flow cytometry were completed.

Exclusion criteria

Exclusion criteria: 1. Currently diagnosed leukemia and non-hematopoietic tumors; 2. Clinicopathological data were incomplete.

Design outcomes

Primary

Measure	Time frame
accuracy;	—

Countries

China

Contacts

Public ContactYang Zailin

Chongqing University Cancer Hospital

804728092@qq.com+86 18523410193

Outcome results

None listed

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