Validation and Modeling of Flow Cytometric CD36 Coefficient of Variation Analysis in the Diagnosis of Lower-Risk Myelodysplastic Syndrome

Incorporating the CD36 CV into flow cytometric evaluation enhances diagnostic specificity for lower-risk MDS without requiring additional antibody panels. This locally validated marker may improve diagnostic accuracy when combined with myelomonocytic immunophenotyping. Standardization across institutions remains necessary for broader applicability.

Authors

Institutions

Publication Details

Journal
Turkish Journal of Hematology
Published
2025-09-25
DOI
https://doi.org/10.4274/tjh.galenos.2025.2025.0282
Primary Topic
Acute Myeloid Leukemia Research
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Validation and Modeling of Flow Cytometric CD36 Coefficient of Variation Analysis in the Diagnosis of Lower-Risk Myelodysplastic Syndrome

Mehmet Baysal, Şüheda Çakmak, Emre Akar
Turkish Journal of Hematology
Acute Myeloid Leukemia Research
article

Validation and Modeling of Flow Cytometric CD36 Coefficient of Variation Analysis in the Diagnosis of Lower-Risk Myelodysplastic Syndrome

Mehmet Baysal, Şüheda Çakmak, Emre Akar
article en

Abstract

Incorporating the CD36 CV into flow cytometric evaluation enhances diagnostic specificity for lower-risk MDS without requiring additional antibody panels. This locally validated marker may improve diagnostic accuracy when combined with myelomonocytic immunophenotyping. Standardization across institutions remains necessary for broader applicability.

Turkish Journal of Hematology
Tekirdağ Namık Kemal University (TR)
Openalex Percentile: Top 66%
Acute Myeloid Leukemia Research
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.