Application of Pathomic Features for Differentiating Dysplastic Cells in Patients with Myelodysplastic Syndrome
2024

Using Pathomic Features to Differentiate Dysplastic Cells in Myelodysplastic Syndrome

Sample size: 45 publication 10 minutes Evidence: moderate

Author Information

Author(s): Hong Youngtaek, Jeong Seri, Park Min-Jeong, Song Wonkeun, Lee Nuri

Primary Institution: Hallym University College of Medicine

Hypothesis

Can pathomic features effectively differentiate between dysplastic and normal hematopoietic cells in patients with myelodysplastic syndrome?

Conclusion

Pathomic features can help distinguish between dysplastic and normal cells in hematologic malignancies, suggesting their potential as a new biomarker for diagnosis.

Supporting Evidence

  • Pathomic features were extracted from 12,360 hematopoietic cells.
  • The study included 24 patients with myelodysplastic syndrome and 21 normal controls.
  • Quadratic discriminant analysis with gradient boosting decision tree achieved an AUROC of 0.63.
  • Dysplastic cells showed lower median values in pathomic features compared to normal cells.
  • Statistical analysis was performed using the Mann–Whitney test.

Takeaway

This study looks at how special features of cells can help doctors tell the difference between sick and healthy cells in patients with a blood disorder.

Methodology

The study analyzed bone marrow samples from 24 patients with myelodysplastic syndrome and 21 normal controls, extracting 476 pathomic features from 12,360 hematopoietic cells.

Potential Biases

Potential bias in labeling due to subjective interpretation by pathologists.

Limitations

The small sample size limits the generalizability of the findings and the study lacks external validation.

Participant Demographics

Median age of MDS patients was 70.5 years, with 14 males and 10 females; normal group had a median age of 64.0 years, with 12 males and 9 females.

Statistical Information

P-Value

p<0.0001

Statistical Significance

p<0.05

Digital Object Identifier (DOI)

10.3390/bioengineering11121230

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