Primary differential diagnosis of leukemia via cytograms obtained from Technicon h۱ hematology analyzer

سال انتشار: 1400
نوع سند: مقاله کنفرانسی
زبان: انگلیسی
مشاهده: 110

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شناسه ملی سند علمی:

CANCERMED05_093

تاریخ نمایه سازی: 27 دی 1400

چکیده مقاله:

Introduction: Technicon h۱ automated hematology analyzer provides leukocyte differentiation cytograms using data obtained from PEROX and BASO channel. Cytograms for white blood cells (WBCs) become abnormal in several pathologic conditions specially leukemia. As these cytograms inform important clues for diagnosis and prescribing more specialized tests, reviewing abnormal algorithms of cytograms for WBCs helps specialists prescribing more specialized flow cytometry markers and reduces treatment costs for the health system and patients. Methods: In this descriptive study, Pub Med, Google Scholar, and Irandoc data bases were searched for related papers. Also, the information from manuals of Technicon h۱ automated hematology analyzer were used with graphs obtained from patients referring to the laboratory of Shahid Ghazi hematology and oncology hospital, Tabriz, Iran. Results: PEROX and BASO cytograms of WBCs become abnormal in hematological malignancies. Different cellular patterns can represent myeloid or lymphoid lineage involvement in leukemia and also help classifying them according to the French-American-British (FAB) classification system. Conclusion: Utilization of graphic data of hematology analyzers in identifying cellular abnormalities is not a new approach. These graphical data that provide more valuable information than enumeration data, so recognizing the pattern of changes in these graphs can be a starting point for specialists and laboratory staff in choosing appropriate confirmatory and complementary tests or emergency medical interventions.

نویسندگان

Zahra Taghinejad

Hematology and Oncology Research center,Tabriz University of Medical Sciences

Mohammad Asgharzadeh

Biotechnology Research Center and faculty of paramedicine, Tabriz University of Medical Sciences