scholarly journals A Framework for Efficient Recognition and Classification of Acute Lymphoblastic Leukemia with a Novel Customized-KNN Classifier

Author(s):  
Duraiswamy Umamaheswari ◽  
Shanmugam Geetha
2018 ◽  
Vol 64 ◽  
pp. S33-S34 ◽  
Author(s):  
Kara Davis ◽  
Zinaida Good ◽  
Jolanda Sarno ◽  
Astraea Jager ◽  
Nikolay Samusik ◽  
...  

2021 ◽  
Vol 19 (9) ◽  
pp. 1079-1109
Author(s):  
Patrick A. Brown ◽  
Bijal Shah ◽  
Anjali Advani ◽  
Patricia Aoun ◽  
Michael W. Boyer ◽  
...  

The NCCN Guidelines for Acute Lymphoblastic Leukemia (ALL) focus on the classification of ALL subtypes based on immunophenotype and cytogenetic/molecular markers; risk assessment and stratification for risk-adapted therapy; treatment strategies for Philadelphia chromosome (Ph)-positive and Ph-negative ALL for both adolescent and young adult and adult patients; and supportive care considerations. Given the complexity of ALL treatment regimens and the required supportive care measures, the NCCN ALL Panel recommends that patients be treated at a specialized cancer center with expertise in the management of ALL This portion of the Guidelines focuses on the management of Ph-positive and Ph-negative ALL in adolescents and young adults, and management in relapsed settings.


2016 ◽  
Author(s):  
Richard A. Larson ◽  
Roland B Walter

The acute leukemias are malignant clonal disorders characterized by aberrant differentiation and proliferation of transformed hematopoietic progenitor cells. These cells accumulate within the bone marrow and lead to suppression of the production of normal blood cells, with resulting symptoms from varying degrees of anemia, neutropenia, and thrombocytopenia or from infiltration into tissues. They are currently classified by their presumed cell of origin, although the field is moving rapidly to genetic subclassification. This review covers epidemiology; etiology; classification of leukemia by morphology, immunophenotyping, and cytogenetic/molecular abnormalities; cytogenetics of acute leukemia; general principles of therapy; acute myeloid leukemia; acute lymphoblastic leukemia; and future possibilities. The figure shows the incidence of acute leukemias in the United States. Tables list World Health Organization (WHO) classification of acute myeloid leukemia and related neoplasms, expression of cell surface and cytoplasmic markers for the diagnosis of acute myeloid leukemia and mixed-phenotype acute leukemia, WHO classification of acute lymphoblastic leukemia, WHO classification of acute leukemias of ambiguous lineage, WHO classification of myelodysplastic syndromes, European LeukemiaNet cytogenetic and molecular genetic subsets in acute myeloid leukemia with prognostic importance, cytogenetic and molecular subtypes of acute lymphoblastic leukemia, terminology used in leukemia treatment, and treatment outcome for adults with acute leukemia. This review contains 1 highly rendered figure, 9 tables, and 117 references.


2019 ◽  
Vol 144 (2) ◽  
pp. 150-155 ◽  
Author(s):  
Sarika Jain ◽  
Anu Abraham

Context.— In the 2016 update of the World Health Organization (WHO) classification of hematopoietic neoplasms, BCR-ABL1–like B-acute lymphoblastic leukemia/lymphoma (B-ALL) is added as a new provisional entity that lacks the BCR-ABL1 translocation but shows a pattern of gene expression very similar to that seen in B-ALL with BCR-ABL1. Objective.— To review the kinase-activating alterations and the diagnostic approach for BCR-ABL1–like B-ALL. Data Sources.— We provide a comprehensive review of BCR-ABL1–like B-ALL based on recent literature and the 2016 update of the World Health Organization classification of hematopoietic neoplasms. Conclusions.— Several types of kinase-activating alterations (fusions or mutations) are identified in BCR-ABL1–like B-ALL. The main categories are alterations in the ABL class family of genes, encompassing ABL1, ABL2, PDGFRB, PDGFRA (rare), and colony-stimulating factor 1 receptor (CSF1R) fusions, or the JAK2 class family of genes, encompassing alterations in JAK2, CRLF2, EPOR, and other genes in this pathway. These alterations determine the sensitivity to tyrosine kinase inhibitors. As a wide variety of genomic alterations are included in this category, the diagnosis of BCR-ABL1–like B-ALL is extremely complex. Stepwise algorithms and comprehensive unbiased testing are the 2 ways to approach the diagnosis of BCR-ABL1–like B-ALL.


2013 ◽  
Vol 31 (34) ◽  
pp. 4333-4342 ◽  
Author(s):  
Amélie Trinquand ◽  
Aline Tanguy-Schmidt ◽  
Raouf Ben Abdelali ◽  
Jérôme Lambert ◽  
Kheira Beldjord ◽  
...  

Purpose The Group for Research in Adult Acute Lymphoblastic Leukemia (GRAALL) recently reported a significantly better outcome in T-cell acute lymphoblastic leukemia (T-ALL) harboring NOTCH1 and/or FBXW7 (N/F) mutations compared with unmutated T-ALL. Despite this, one third of patients with N/F-mutated T-ALL experienced relapse. Patients and Methods In a series of 212 adult T-ALLs included in the multicenter randomized GRAALL-2003 and -2005 trials, we searched for additional N/K-RAS mutations and PTEN defects (mutations and gene deletion). Results N/F mutations were identified in 143 (67%) of 212 patients, and lack of N/F mutation was confirmed to be associated with a poor prognosis. K-RAS, N-RAS, and PTEN mutations/deletions were identified in three (1.6%) of 191, 17 (8.9%) of 191, and 21 (12%) of 175 patients, respectively. The favorable prognostic significance of N/F mutations was restricted to patients without RAS/PTEN abnormalities. These observations led us to propose a new T-ALL oncogenetic classifier defining low-risk patients as those with N/F mutation but no RAS/PTEN mutation (97 of 189 patients; 51%) and all other patients (49%; including 13% with N/F and RAS/PTEN mutations) as high-risk patients. In multivariable analysis, this oncogenetic classifier remained the only significant prognostic covariate (event-free survival: hazard ratio [HR], 3.2; 95% CI, 1.9 to 5.15; P < .001; and overall survival: HR, 3.2; 95% CI, 1.9 to 5.6; P < .001). Conclusion These data demonstrate that the presence of N/F mutations in the absence of RAS or PTEN abnormalities predicts good outcome in almost 50% of adult T-ALL. Conversely, the absence of N/F or presence of RAS/PTEN alterations identifies the remaining cohort of patients with poor prognosis.


2021 ◽  
Author(s):  
Ali Noshad ◽  
saeed fallahi

Abstract Identification of uncontrolled accumulation of abnormal blood cells ( lymphoblasts ) considered to be a challenging task. Despite a wide variety of image processing and deep learning techniques, the task of extracting the features from Acute Lymphoblastic Leukemia (ALL) images and detection of ALL cells is still challenging and complex issue due to morphological variations in cells. In order to overcome these drawbacks, in this study, we proposed a new framework with a combination of spiking and residual network for the detection and classification of lymphoblasts cells from healthy ones in blood sample images. According to this, features are extracted using a novel First-Spike-based approach, and then the Gaussian function is applied to remove the low-intensity edges. To reduce dimensionality, Principal Component Analysis ( PCA ) is used and finally, a developed deep residual architecture is employed to diagnose the ALL blood cells from the reconstructed images. To show the effectiveness of the proposed model, it is evaluated on microscopic images of blood samples from ALL Images (ALL- IDB ) and ISBI -2019 C- NMC dataset. The results show the superiority of the model to be an appropriate choice for future biomedical imaging tasks.


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