Data management-analysis method and system for bone marrow cell morphology of acute leukemia

Abstract

The embodiment of the invention discloses a data management-analysis method and system for bone marrow cell morphology of acute leukemia. The method comprises the steps 1-5, concretely, collecting bone marrow cell metadata, identifying main data of the bone marrow cell morphology of acute leukemia, establishing a main data model and a data standard, understanding the cell morphology data, cleaningdata quality, carrying out conversion, setting a safety boundary, and ensuring and judging the integrity and timeliness of metadata for multiple times according to each data association degree and influence analysis of the bone marrow cell morphology. The accuracy of bone marrow cell main data and metadata during final data management decision making is ensured, meanwhile, the mapping relation isestablished in combination with digital intra-industry experience for judging acute leukemia, and finally related conclusions for acute leukemia diagnosis are obtained. According to the method, the requirement for an efficient and reliable scheme for acute leukemia diagnosis is met, misdiagnosis is reduced, data sharing is achieved, and meanwhile disease data privacy of a patient is strictly protected.

Description

technical field [0001] The present invention relates to the technical field of leukemia cell analysis, in particular to a data management and analysis method and system for bone marrow cell morphology of acute leukemia. Background technique [0002] Acute leukemia (AL) is a malignant clonal disease of hematopoietic stem cells. It is a common hematological malignancy. At the time of onset, abnormal primitive cells and immature cells (leukemic cells) in the bone marrow proliferate in large numbers, inhibit normal hematopoiesis, and extensively infiltrate the liver. , spleen, lymph nodes and other extramedullary organs. It presents with clinical features such as anemia, hemorrhage, infection and infiltration. According to the type of cells involved, AL can generally be divided into two categories: acute lymphoblastic leukemia (ALL) and acute myeloid leukemia (AML). The incidence rate of AML in my country is about 1.62 / 100,000, while that of ALL is about 0.69 / 100,000. AML is ...

AI Technical Summary

Problems solved by technology

[0006] There are the following shortcomings in the prior art: 1. The current diagnosis of bone marrow cell morphology mainly relies on the naked eye to calculate the proportion of blast cells in 200 nucleated cells, but there are cases of fatigue and misdiagnosis, and the problems in the data quality processing process have not been corrected in time , statistically inaccurate

[0007] 2. With the increasing incidence of acute leukemia and the lack of related bone marrow cytology doctors, the time it takes for acute leukemia to complete the bone marrow puncture to the official report is getting longer and longer, which delays the precious time of the patient's treatment

[0008] 3. Data standards have not been established, digital analysis algorithms, the current bone marrow cell morphology examination cannot be remotely diagnosed

[0009] 4. The current morphological examination of bone marrow cells is still limited to empirical diagnosis and cannot be digitized. Data sharing between various medical services is poor. Sensitive data cannot be effectively tracked and monitored, and electronic evidence cannot be preserved.

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