scholarly journals Matlab Based Potent Algorithm for WBc cancer Detection and classification

2021 ◽  
Vol 14 (4) ◽  
pp. 2277-2284
Author(s):  
AN. Nithyaa AN. Nithyaa1 ◽  
Prem Kumar R ◽  
Gokul .M Gokul .M ◽  
Geetha Aananthi C.

This paper aims to automate the detection of cancer using digital image processing techniques in MATLAB software. The analysis of white blood cells (WBC) is a powerful diagnostic tool for the prediction of Leukemia. The automatic detection of leukemia is a challenging task, which remains an unresolved problem in the medical imaging field. This Automation in Biological laboratories can be done by extracting the features of the blood film images taken from the digital microscopes and processed using MATLAB software. The aim of this approach is to discover the WBC cancer cells in an earlier stage and to reduce the discrepancies in diagnosis, by improving the system learning methodology. This paper presents the potent algorithm, which will eliminate the dubiety, in diagnosing the cancers with similar symptoms. This Algorithm concentrates on major WBC cancers, such as Acute Lymphocytic Leukemia, Acute Myeloid Leukemia, Chronic Lymphocytic Leukemia and Chronic Myeloid Leukemia. As they are life threatening diseases, rapid and precise differentiation is necessary in clinical settings. These cancers are categorized by segmentation and feature extraction, which will be further, classified using Random forest classification (RFC). RFC will classify the cancer using a decision tree learning method, which uses predictors at each node to make better decision.

Author(s):  
David P Ng ◽  
Lauren M Zuromski

Abstract Objectives Clinical flow cytometry is laborious, time-consuming, and expensive given the need for data review by highly trained personnel such as technologists and pathologists as well as the significant number of normal cases. Given these issues, automation in analysis and diagnosis holds the key to major efficiency gains. The objective was to design an automated pipeline for the diagnosis of B-cell malignancies in flow cytometry and evaluate its performance against our standard clinical diagnostic flow cytometry process. Methods Using 3,417 cases of peripheral blood data over 6 months from our 10-color B-cell screening tube, we used a newly described method for feature extraction and dimensionality reduction called UMAP on the raw flow cytometry data followed by random forest classification to classify cases without gating on specific population. Results Our automated classifier was able to achieve greater than 95% accuracy in diagnosing all B-cell malignancies, and even better performance for specific malignancies for which the panel was designed, such as chronic lymphocytic leukemia. By adjusting classifier cutoffs, 100% sensitivity could be achieved with an albeit low 14% specificity. Hypothetically, this would allow 11% of the cases to be autoverified without human intervention. Conclusions These results suggest that a clinical implementation of this pipeline can greatly assist in quality control, improve turnaround time, and decrease staff workloads.


2021 ◽  
Vol 7 (3) ◽  
pp. 1-6
Author(s):  
Abdulrahman Theyab ◽  
Mohammad Algahtani ◽  
*Gasim Dobie ◽  
Hassan A Hamali ◽  
Abdullah A Mobarki ◽  
...  

Acute megakaryoblastic leukemia (AMKL) is a subtype of acute myeloid leukemia (AML) accounting for 3%–10% of primary AML in childhood. Clinical manifestations of AML patients can include low grade of fever, diarrhea, easy bruising, failure to growth, and life-threatening clinical manifestations. Laboratory tests are very crucial to make a definitive diagnosis and treatment. We report here an uncommon case of AMKL in a 12-month-old boy who presented with general paleness and fatigue. Based on blood film investigation, bone marrow examination report, and immunophenotyping, he was diagnosed as a case of AMKL without Down syndrome.


Blood ◽  
2019 ◽  
Vol 134 (Supplement_1) ◽  
pp. 3696-3696
Author(s):  
Asiri Ediriwickrema ◽  
Mrigender Virk ◽  
Jennifer Andrews

Granulocyte transfusions are inconsistently used despite observational evidence of their efficacy (Seidel et al, 2008). The Resolving Infection in Neutropenia with Granulocytes (RING) trial was incomplete due to poor enrollment and thus was underpowered to assess efficacy of granulocytes in adults with neutropenia and severe infection unresponsive to anti-microbials (Price et al, 2015). Post-hoc analysis showed a group of patients had better clinical responses with higher doses of granulocytes. We hypothesized that patients treated at Stanford University with higher doses of granulocytes had better clinical outcomes than those patients who received lower doses of granulocytes. Granulocyte transfusions are available at Stanford University from well repeat platelet donors who have recent negative infectious disease markers for transfusion-transmitted infections. Donors receive stimulation with steroids about 12 hours prior to collection. After IRB approval, a single center retrospective cohort study was done to assess all patients who had received granulocytes at Stanford University from August 2006 to June 2018. We queried the electronic health record and transfusion service information system for patient demographics, diagnosis, weight, dose and frequency of granulocyte infusion(s), time to ANC recovery >500 and the primary outcome of survival to hospital discharge. There were 45 patients identified within the transfusion service information system, but only 27 had available granulocyte dosing and clinical records for review. To evaluate for most important clinical parameters, random forest classification and regression was performed against survival to hospital discharge and time to neutropenia recovery post initiation of granulocyte infusions respectively (randomForest R package). Cox proportional hazard (coxph) models were determined using mean granulocyte dose per infusion (cells/kg/infusion), total granulocyte dose per admission (cells/kg), age, and duration of neutropenia against survival to discharge and resolution of neutropenia (survival and survminer R packages). Kaplan-Meier survival analysis was performed based on high and low mean granulocyte dosing (<0.6e9cells/kg, which is equivalent to 4 x10e10 in a 70kg patient). Twenty-seven patients age 3 to 80 years (median 38 years) with various hematologic disorders were treated with granulocyte transfusions (median 4 infusions, range 1 - 14). Fifteen of 27 (56%) patients survived to hospital discharge. Random forest classification identified mean granulocyte dose per infusion as the most influential feature in predicting survival to hospital discharge by both mean decrease in accuracy and mean decrease in Gini. Additional influential parameters included total granulocyte dose per kg, age, and duration of neutropenia. Random forest regression could not identify a clear feature that was most influential in predicting time to resolution of neutropenia. Coxph models did not identify a significant feature that predicted survival to discharge. Although all 3 patients who received high dose infusions survived compared to 50% surviving in the low dose group (median survival of 33 days), the results did not achieve significance (p = 0.15). Coxph models identified mean granulocyte dose per kg as significantly associated with resolution of neutropenia (HR 26.15, 95% CI 1.65-413.83, p = 0.021) whereas total granulocyte dose per kg over all infusions was associated with prolonged neutropenia (HR 0.69, 95% CI 0.52-0.92, p = 0.012). We present a series of granulocyte transfusions in 27 neutropenic patients with life-threatening infections not responsive to standard therapies. Though there was not a statistically significant difference in survival between those infused with high versus low dose granulocytes, the mean granulocyte dose infused per kg was associated with a resolution of neutropenia. This suggests that if one prescribes granulocytes for these patients, they should be higher dose (at least 0.6e9cells/kg). 1. Seidel MG, Peters C, Wacker A, et al. Study of granulocyte transfusions in neutropenic patients. Bone Marrow Transplant 2008;42:679-86. 2. Price TH, Boeckh M, Harrison RW, et al. Efficacy of transfusion with granulocytes from G-CSF/dexamethasone-treated donors in neutropenic patients with infection. Blood 2015;126:2153-61. Disclosures No relevant conflicts of interest to declare.


2019 ◽  
Vol 18 (14) ◽  
pp. 1936-1951 ◽  
Author(s):  
Raghav Dogra ◽  
Rohit Bhatia ◽  
Ravi Shankar ◽  
Parveen Bansal ◽  
Ravindra K. Rawal

Background: Acute myeloid leukemia is the collective name for different types of leukemias of myeloid origin affecting blood and bone marrow. The overproduction of immature myeloblasts (white blood cells) is the characteristic feature of AML, thus flooding the bone marrow and reducing its capacity to produce normal blood cells. USFDA on August 1, 2017, approved a drug named Enasidenib formerly known as AG-221 which is being marketed under the name Idhifa to treat R/R AML with IDH2 mutation. The present review depicts the broad profile of enasidenib including various aspects of chemistry, preclinical, clinical studies, pharmacokinetics, mode of action and toxicity studies. Methods: Various reports and research articles have been referred to summarize different aspects related to chemistry and pharmacokinetics of enasidenib. Clinical data was collected from various recently published clinical reports including clinical trial outcomes. Result: The various findings of enasidenib revealed that it has been designed to allosterically inhibit mutated IDH2 to treat R/R AML patients. It has also presented good safety and efficacy profile along with 9.3 months overall survival rates of patients in which disease has relapsed. The drug is still under study either in combination or solely to treat hematological malignancies. Molecular modeling studies revealed that enasidenib binds to its target through hydrophobic interaction and hydrogen bonding inside the binding pocket. Enasidenib is found to be associated with certain adverse effects like elevated bilirubin level, diarrhea, differentiation syndrome, decreased potassium and calcium levels, etc. Conclusion: Enasidenib or AG-221was introduced by FDA as an anticancer agent which was developed as a first in class, a selective allosteric inhibitor of the tumor target i.e. IDH2 for Relapsed or Refractory AML. Phase 1/2 clinical trial of Enasidenib resulted in the overall survival rate of 40.3% with CR of 19.3%. Phase III trial on the Enasidenib is still under process along with another trial to test its potency against other cell lines. Edasidenib is associated with certain adverse effects, which can be reduced by investigators by designing its newer derivatives on the basis of SAR studies. Hence, it may come in the light as a potent lead entity for anticancer treatment in the coming years.


2021 ◽  
Vol 12 (2) ◽  
Author(s):  
Shiman Zuo ◽  
Luchen Sun ◽  
Yuxin Wang ◽  
Bing Chen ◽  
Jingyue Wang ◽  
...  

AbstractChronic myeloid leukemia (CML) is characterized by the accumulation of malignant and immature white blood cells which spread to the peripheral blood and other tissues/organs. Despite the fact that current tyrosine kinase inhibitors (TKIs) are capable of achieving the complete remission by reducing the tumor burden, severe adverse effects often occur in CML patients treated with TKIs. The differentiation therapy exhibits therapeutic potential to improve cure rates in leukemia, as evidenced by the striking success of all-trans-retinoic acid in acute promyelocytic leukemia treatment. However, there is still a lack of efficient differentiation therapy strategy in CML. Here we showed that MPL, which encodes the thrombopoietin receptor driving the development of hematopoietic stem/progenitor cells, decreased along with the progression of CML. We first elucidated that MPL signaling blockade impeded the megakaryocytic differentiation and contributed to the progression of CML. While allogeneic human umbilical cord-derived mesenchymal stem cells (UC-MSCs) treatment efficiently promoted megakaryocytic lineage differentiation of CML cells through restoring the MPL expression and activating MPL signaling. UC-MSCs in combination with eltrombopag, a non-peptide MPL agonist, further activated JAK/STAT and MAPK signaling pathways through MPL and exerted a synergetic effect on enhancing CML cell differentiation. The established combinational treatment not only markedly reduced the CML burden but also significantly eliminated CML cells in a xenograft CML model. We provided a new molecular insight of thrombopoietin (TPO) and MPL signaling in MSCs-mediated megakaryocytic differentiation of CML cells. Furthermore, a novel anti-CML treatment regimen that uses the combination of UC-MSCs and eltrombopag shows therapeutic potential to overcome the differentiation blockade in CML.


Author(s):  
Jennifer Nitsch ◽  
Jordan Sack ◽  
Michael W. Halle ◽  
Jan H. Moltz ◽  
April Wall ◽  
...  

Abstract Purpose We aimed to develop a predictive model of disease severity for cirrhosis using MRI-derived radiomic features of the liver and spleen and compared it to the existing disease severity metrics of MELD score and clinical decompensation. The MELD score is compiled solely by blood parameters, and so far, it was not investigated if extracted image-based features have the potential to reflect severity to potentially complement the calculated score. Methods This was a retrospective study of eligible patients with cirrhosis ($$n=90$$ n = 90 ) who underwent a contrast-enhanced MR screening protocol for hepatocellular carcinoma (HCC) screening at a tertiary academic center from 2015 to 2018. Radiomic feature analyses were used to train four prediction models for assessing the patient’s condition at time of scan: MELD score, MELD score $$\ge $$ ≥ 9 (median score of the cohort), MELD score $$\ge $$ ≥ 15 (the inflection between the risk and benefit of transplant), and clinical decompensation. Liver and spleen segmentations were used for feature extraction, followed by cross-validated random forest classification. Results Radiomic features of the liver and spleen were most predictive of clinical decompensation (AUC 0.84), which the MELD score could predict with an AUC of 0.78. Using liver or spleen features alone had slightly lower discrimination ability (AUC of 0.82 for liver and AUC of 0.78 for spleen features only), although this was not statistically significant on our cohort. When radiomic prediction models were trained to predict continuous MELD scores, there was poor correlation. When stratifying risk by splitting our cohort at the median MELD 9 or at MELD 15, our models achieved AUCs of 0.78 or 0.66, respectively. Conclusions We demonstrated that MRI-based radiomic features of the liver and spleen have the potential to predict the severity of liver cirrhosis, using decompensation or MELD status as imperfect surrogate measures for disease severity.


2021 ◽  
Vol 9 (1) ◽  
Author(s):  
Xiang Zhang ◽  
Jiejing Qian ◽  
Huafeng Wang ◽  
Yungui Wang ◽  
Yi Zhang ◽  
...  

AbstractVenetoclax (VEN) plus azacitidine has become the first-line therapy for elderly patients with acute myeloid leukemia (AML), and has a complete remission (CR) plus CR with incomplete recovery of hemogram rate of ≥70%. However, the 3-year survival rate of these patients is < 40% due to relapse caused by acquired VEN resistance, and this remains the greatest obstacle for the maintenance of long-term remission in VEN-sensitive patients. The underlying mechanism of acquired VEN resistance in AML remains largely unknown. Therefore, in the current study, nine AML patients with acquired VEN resistance were retrospectively analyzed. Our results showed that the known VEN resistance-associated BCL2 mutation was not present in our cohort, indicating that, in contrast to chronic lymphocytic leukemia, this BCL2 mutation is dispensable for acquired VEN resistance in AML. Instead, we found that reconstructed existing mutations, especially dominant mutation conversion (e.g., expanded FLT3-ITD), rather than newly emerged mutations (e.g., TP53 mutation), mainly contributed to VEN resistance in AML. According to our results, the combination of precise mutational monitoring and advanced interventions with targeted therapy or chemotherapy are potential strategies to prevent and even overcome acquired VEN resistance in AML.


2016 ◽  
Vol 146 ◽  
pp. 370-385 ◽  
Author(s):  
Adam Hedberg-Buenz ◽  
Mark A. Christopher ◽  
Carly J. Lewis ◽  
Kimberly A. Fernandes ◽  
Laura M. Dutca ◽  
...  

2009 ◽  
Vol 35 (5) ◽  
pp. 431-435 ◽  
Author(s):  
Luiz Otávio de Mattos Coelho ◽  
Taísa Davaus Gasparetto ◽  
Dante Luiz Escuissato

OBJECTIVE: To describe HRCT findings in patients with bacterial pneumonia following bone marrow transplantation (BMT). METHODS: This was a retrospective study involving 30 patients diagnosed with bacterial pneumonia in whom HRCT of the chest was performed within 24 h after the onset of symptoms and the diagnosis was confirmed, based on a positive culture of sputum or bronchial aspirate, together with a positive pleural fluid or blood culture, within one week after symptom onset. There were 20 male patients and 10 female patients. The median age was 21 years (range, 1-41 years). The BMT had been performed for the treatment of the following: chronic myeloid leukemia, in 14 cases; severe aplastic anemia, in 6; acute myeloid leukemia, in 4; Fanconi's anemia, in 3; and acute lymphocytic leukemia, in 3. Two radiologists analyzed the HRCT scans and reached their final decisions by consensus. RESULTS: The most common HRCT findings were air-space consolidation (in 60%), small centrilobular nodules (in 50%), ground-glass opacities (in 40%), bronchial wall thickening (in 20%), large nodules (in 20%), pleural lesions (in 16.7%) and tree-in-bud opacities (in 10%). The pulmonary lesions were distributed in the central and peripheral areas in 15 patients, whereas they were exclusively peripheral in 11. Lesions were located in the lower and middle lobes of the lung in 22 and 20 patients, respectively. CONCLUSIONS: The most common HRCT findings in our patient sample were air-space consolidation, small centrilobular nodules and ground-glass opacities, most often in the central and peripheral regions of the middle and lower lung zones.


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