Bone-marrow spectrum in a tertiary care hospital: Clinical indications, peripheral smear correlation and diagnostic value

Thiyagarajan, Priya; Suresh, T N; Anjanappa, Raveesha; Kumar, M L Harendra

doi:10.4103/0975-2870.160793

Cited by 4 publications

(1 citation statement)

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“…24 In studies done in Pakistan (10.9%) and India (30%) of the patients had MBA which was higher than the current finding. 2,51 The different blood cells isolated from patients with MBA are large oval erythrocytes, hyper segmented neutrophils, and abnormal giant platelets. 52 The causes for MBA might be associated with the deficiencies of vitamin B 12 , folic acid, nutritional inadequacy, malabsorption, increased demands or utilization of the vitamins, chronic diarrhea, and worm infection.…”

Section: Dovepressmentioning

confidence: 99%

Patterns of Bone Marrow Confirmed Malignant and Non-Malignant Hematological Disorders in Patients with Abnormal Hematological Parameters in Northeast Ethiopia

Ebrahim¹,

Fiseha²,

Debash³

et al. 2022

JBM

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Background Hematological disorders are heterogeneous conditions ranging from malignant to non-malignant disorders. Hematological malignancies comprise a collection of heterogeneous conditions originating from cells of the bone marrow and the lymphatic system. Therefore, this study aimed to determine the pattern of bone marrow confirmed malignant and non-malignant hematological disorders in patients with abnormal hematological parameters. Methods Institutional-based cross-sectional study was conducted in Dessie town from April 2020 to June 2021. A total of 228 study participants who had abnormal hematological parameters and referred for bone marrow examination were included consecutively. About 1.5 mL of bone marrow sample and 3 mL of venous blood sample were collected for bone marrow examination, complete blood count analysis and peripheral blood morphology examination. Wright stain, Sudan black B, and Prussian blue stains were used for staining the bone marrow and peripheral blood smears. The result was expressed in mean and standard deviation and presented in texts and tables. Ratio, frequency, and percentage were used to express the magnitude of malignant and non-malignant hematological disorders. Results The overall prevalence of hematological malignancies among the study participants was 11.4% with 8.8% in male patients. The prevalence of hematological malignancies were 3.5% CML, 2.6% AML, 1.8% CLL and MM, 0.9% ALL and undifferentiated acute leukemia. On the other hand, 57.0% of the study participants had non-malignant hematological disorders. Regarding non-malignant hematological cases, 24.6% were erythroid hyperplasia, 10.5% aplastic anemia, 8.8% concomitant IDA and MBA, 7.0% MBA, 3.5% leukemoid reaction, 1.8% IDA, and 0.9% visceral leishmaniasis. In patients with HM, 66.7% of AML, 100% of CML and CLL, and 75% of MM patients had increased total WBC count, whereas 66.7% of AML, 62.5% of CML, 75% of CLL, and 50% of MM patients had decreased hemoglobin level. On the other hand, 66.7% of AML, and 50% of CML, ALL, and CLL patients had decreased platelet count. Conclusion In this study, 11.4% of the patients had hematological malignant cases, whereas 57% of the patients had non-malignant hematological cases. Therefore, in patients with hematological abnormalities and where conclusive diagnosis could not be made through clinical and other laboratory investigations, bone marrow examination should be done for definitive diagnosis, management and prognosis.

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Section: Dovepressmentioning

confidence: 99%

Patterns of Bone Marrow Confirmed Malignant and Non-Malignant Hematological Disorders in Patients with Abnormal Hematological Parameters in Northeast Ethiopia

Ebrahim¹,

Fiseha²,

Debash³

et al. 2022

JBM

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AML, ALL, and CML classification and diagnosis based on bone marrow cell morphology combined with convolutional neural network

Huang¹,

Guang²,

Li³

et al. 2020

Medicine

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Leukemia diagnosis based on bone marrow cell morphology primarily relies on the manual microscopy of bone marrow smears. However, this method is greatly affected by subjective factors and tends to lead to misdiagnosis. This study proposes using bone marrow cell microscopy images and employs convolutional neural network (CNN) combined with transfer learning to establish an objective, rapid, and accurate method for classification and diagnosis of LKA (AML, ALL, and CML). We collected cell microscopy images of 104 bone marrow smears (including 18 healthy subjects, 53 AML patients, 23 ALL patients, and 18 CML patients). The perfect reflection algorithm and a self-adaptive filter algorithm were first used for preprocessing of bone marrow cell images collected from experiments. Subsequently, 3 CNN frameworks (Inception-V3, ResNet50, and DenseNet121) were used to construct classification models for the raw dataset and preprocessed dataset. Transfer learning was used to improve the prediction accuracy of the model. Results showed that the DenseNet121 model based on the preprocessed dataset provided the best classification results, with a prediction accuracy of 74.8%. The prediction accuracy of the DenseNet121 model that was obtained by transfer learning optimization was 95.3%, which was increased by 20.5%. In this model, the prediction accuracies of the normal groups, AML, ALL, and CML were 90%, 99%, 97%, and 95%, respectively. The results showed that the leukemic cell morphology classification and diagnosis based on CNN combined with transfer learning is feasible. Compared with conventional manual microscopy, this method is more rapid, accurate, and objective.

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Distribution and Spectrum of Haematological Disorders on Bone Marrow Study

Mangoch¹,

K²

2018

jemds

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BACKGROUNDHaematological disorders include a wide range of diseases ranging from anaemias to haematological malignancies. Examination of the marrow is critically important in the study and management of wide variety of haematological disorders. Bone marrow examination is safe and useful test in reaching the final diagnosis. MATERIALS AND METHODSThis descriptive study was carried out in the Postgraduate Department of Pathology, Government Medical College, Jammu, India over a period of five years (November 2011 to October 2016). 1600 cases were diagnosed by bone marrow aspiration. Complete blood count, peripheral smear and bone marrow study were performed in all cases. Those with inconclusive report due to inadequate sample were dropped. RESULTSBone marrow aspiration from 1600 patients were analysed. The male-to-female ratio was 1.3: 1 with maximum number of cases in the age group of 11 -20 years and 40% of the cases were in the paediatric age group. Nutritional anaemia contributed to the most common haematological disorders. Among them, the incidence of megaloblastic anaemia was highest (50%). The other haematological disorders were ITP (5%), Aplastic anaemia (2.50%), Haemolytic anaemia (0.62%), Haemoparasites (0.62%), Hypersplenism (0.37%), Hypereosinophilic syndrome (0.31%), Haemophagocytic syndrome (0.25%), Congenital dyserythropoietic anaemia (0.18%), Thalassemia (0.12%), Sickle cell disease (0.06%) and Niemann's pick disease (0.06%). In Malignant haematological disorders, the most common was found to be leukaemia (15.75%). Amongst these, acute lymphoblastic leukaemia (6.25%) was more common. Others were Multiple myeloma (1.62%), MDS (0.5%), Waldenstrom's macroglobulinaemia (0.25%), lymphomas (0.25%) and CMML (0.12%). One case of myeloproliferative variant of hypereosinophilic syndrome (0.06%) was diagnosed during the study period. Bone marrow mets (0.37%) were observed to be the most important cause of secondary bone marrow involvement by a non-haematological malignancy. CONCLUSIONBone marrow study plays a very important role not only in determining the cause of disease, but also helps in establishing a definitive diagnosis. It is one of the most common and safe procedures done routinely on outpatient basis.

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Bone-marrow spectrum in a tertiary care hospital: Clinical indications, peripheral smear correlation and diagnostic value

Cited by 4 publications

References 0 publications

Patterns of Bone Marrow Confirmed Malignant and Non-Malignant Hematological Disorders in Patients with Abnormal Hematological Parameters in Northeast Ethiopia

Patterns of Bone Marrow Confirmed Malignant and Non-Malignant Hematological Disorders in Patients with Abnormal Hematological Parameters in Northeast Ethiopia

AML, ALL, and CML classification and diagnosis based on bone marrow cell morphology combined with convolutional neural network

Distribution and Spectrum of Haematological Disorders on Bone Marrow Study

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