Introduction:
The morphological examination of bone marrow (BM) cells, commonly used for diagnosing hematological diseases, heavily relies on the expertise of pathologists. This approach is time-consuming, labor-intensive, subjective, and lacks objectivity. Therefore, it is crucial to develop automated analysis systems to aid in the diagnosis of hematological diseases.
Methods
The BM smears from patients with hematological diseases were collected from Dian Diagnostics between September 2021 and December 2021. These smears were classified into five groups based on varying degrees of cell morphological alterations. Images of the BM nucleated cells were captured using the Morphogo system, and its performance in cell identification was compared with that of pathologists.
Results
The Morphogo system demonstrated a high performance in identifying BM nucleated cells, with a sensitivity of 0.9362, specificity of 0.9977, PPV of 0.8354, NPV of 0.9974, and accuracy of 0.9954. Comparison between the percentage of BM nucleated cells identified by the Morphogo system and pathologists showed almost perfect agreement, with an average Kappa value of 0.8695 for 25 cell classes. The practical utility of the Morphogo system was evaluated in hematological diseases, with pathologists achieving averaged sensitivity, specificity, PPV, NPV and accuracy ranging from 0.9098 to 0.9868 when using the system for disease diagnosis. The diagnostic results were consistent with those made by pathologists using a microscope, with an average Kappa value of 0.9096.
Conclusion
Morphogo system had the potential to assist pathologists in diagnosis of hematological diseases by improving the efficiency of identification of BM nucleated cells.