Sickle Cell Disease - A Comprehensive Study and Usage of Technology for Diagnosis
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Published
Jun 19, 2020
Page:
6-14
Main Article Content
Sagar Yeruva
Department of Computer Science and Engineering, VNR Vignana Jyothi Institute of Engineering and Technology, Bachupally, Hyderabad, Telangana, 500 090, India.
M. Sharada Varalakshmi
Department of Computer Science and Engineering, St. Peter’s Engineering College, Maisammaguda, Dhulapally, Hyderabad, Telangana, 500 043, India.
B. Pavan Gowtham
Department of Computer Science and Engineering, VNR Vignana Jyothi Institute of Engineering and Technology, Bachupally, Hyderabad, Telangana, 500 090, India.
Y. Hari Chandana
Department of Computer Science and Engineering, VNR Vignana Jyothi Institute of Engineering and Technology, Bachupally, Hyderabad, Telangana, 500 090, India.
P. E. S. N. Krishna Prasad
Department of Computer Science and Engineering, SV College of Engineering, Karakambadi Rd, Mangalam, Tirupathi, Andhra Pradesh, 517 502, India.
Abstract
Sickle cell is haematological disorder (haematology is a study of blood in health and diseases) which may lead to an organ damage, heart strokes and serious complications. It may also reduce human life span. Most of the sickle cells are observed in new born babies. At the start of sickle cells in human people though it’s a kind of feature in tribal people but it has spread over the world. Sickle cell Symptoms are observed in human beings as episodes of pains (crisis), Vision problems, swelling of hands and Feet. Sickle Cell Disease (SCD) can harm patient’s spleen (slightly pain at left Ribs). If one organ is affected in human body, then slowly it affects the entire body by spreading into Brain, Lungs, Heart, Liver, Kidneys, Joints, Eyes, Penis, Skin or Bone. This paper is aimed at presenting the complete details of the SCD with its properties, symptoms, signs, treatment for this disease. This is also a comprehensive study and characteristics of this disease with other similar diseases. The technological implications and usage in the field of SCD for better accuracy of identification of the disease is presented.
Keywords:
Sickle Cell (SC), Sickle Cell Disease (SCD), thalassemia, image segmentation, Sickle Cell Anemia (SCA).
Article Details
How to Cite
Yeruva, S., Varalakshmi, M. S., Gowtham, B. P., Chandana, Y. H., & Prasad, P. E. S. N. K. (2020). Sickle Cell Disease - A Comprehensive Study and Usage of Technology for Diagnosis. International Blood Research & Reviews, 11(2), 6-14. https://doi.org/10.9734/ibrr/2020/v11i230125
Section
Review Article
References
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Geller AK, O'Connor MK. The sickle cell crisis: A dilemma in pain relief. In Mayo Clinic Proceedings. Elsevier. 2008;83(3): 320-323.
Onimoe G, Smarzo G. HbS-Sicilian (δβ) 0-thalassemia: A rare variant of sickle cell. Case Reports in Hematology; 2017.
Okpala Iheanyi, Adel Tawil. Management of pain in sickle-cell disease. Journal of the Royal Society of Medicine. 2002;95(9): 456-458.
Elenga N, Adeline A, Balcaen J, Vaz T, Calvez M, Terraz A, Carles G. Pregnancy in sickle cell disease is a very high-risk situation: An observational study. Obstetrics and Gynecology International; 2016.
Gardner RV. Sickle cell disease: Advances in treatment. Ochsner Journal. 2018;18(4): 377-389.
Veluchamy M, Perumal K, Ponuchamy T. Feature extraction and classification of blood cells using artificial neural network. American Journal of Applied Sciences. 2012;9(5):615.
Available:https://medlineplus.gov/ency/article/000587.htm
Singer ST, Olivieri NE, Sweeters N, Rodwell C, Oliver C, Vichinsky EP, Kuypers FA. Biotin-labeled RBC survival in thalassemia and impact of treatment; 2004.
Available:http://www.bloodjournal.org/content/104/11/3616?sso-checked=true
Franco RS. Measurement of red cell lifespan and aging. Transfusion Medicine and Hemotherapy. 2012;39(5):302-307.
Platt OS, Brambilla DJ, Rosse WF, Milner PF, Castro O, Steinberg MH, Klug PP. Mortality in sickle cell disease--life expectancy and risk factors for early death. New England Journal of Medicine. 1994;330(23):1639-1644.
Brazier Y. Everything you need to know about thalassemia. Medical News Today; 2018.
Available:https://www.medicalnewstoday.com/articles/263489.php
Available:https://www.webmd.com/a-to-z-guides/complete-blood-count#1
Available:https://www.stjude.org/treatment/patient-resources/caregiver-resources/patient-family-education-sheets/hematology/blood-counts-and-sickle-cell-disease.html
Available:https://emedicine.medscape.com/article/2054474-overview
Available:https://en.wikipedia.org/wiki/Hemorheology
Charache S, MacDonald V. Increased blood viscosity in a patient with sickle cell anemia. Blood Cells. 1982;8(1):103-109.
Crowley JP, Metzger JB, Merrill EW, Valeri CR. Whole blood viscosity in beta thalassemia minor. Annals of Clinical & Laboratory Science. 1992;22(4):229-235.
Role of Hematological Indices in the Screening of β-Thalassemia Minor (Trait) and Iron Deficiency Anaemia. American Research Journal of Hematology (ARJH). 2016;1-5.
Olaniyi JA, Arinola OG, Odetunde AB. Foetal haemoglobin (HbF) status in adult sickle cell anaemia patients in Ibadan, Nigeria. Annals of Ibadan Postgraduate Medicine. 2010;8(1):30-33.
High MCHC: What does it mean? By Jill Seladi-Schulman, PhD and Medically Reviewed by Nancy Carteron, MD, FACR on October 25; 2017.
Available:https://www.labce.com/spg226471_hematologic_findings_for_various_types_of_beta_tha.aspx
Available:https://en.wikipedia.org/wiki/Reticulocyte
Available:https://www.ebmconsult.com/articles/lab-test-reticulocyte-count
Hematocr It by William C. Shiel Jr., MD, FACP, FACR (Medical Author) and Melissa Conrad Stöppler, MD (Medical Author) Medically Reviewed on 4/16/2019.
Galanello R, Origa R. Beta-thalassemia. Orphanet Journal of Rare Diseases. 2010;5(1):11.
Available:https://www.cdc.gov/ncbddd/sicklecell/data.html
Chintawar IA, Aishvarya M, Kuhikar C. Detection of sickle cells using image processing. International Journal of Science Technology Engineering. 2016;2(9):335-339.
Elsalamony HA. Detection of anaemia disease in human red blood cells using cell signature, neural networks and SVM. Multimedia Tools and Applications. 2018;77(12):15047-15074.
Oleiwi SR, Humaidi AJ, Fadhel MA. Image processing-based diagnosis of sickle cell anemia in erythrocytes.
Elsalamony HA. Anaemia cells detection based on shape signature using neural networks. Measurement. 2017;104:50-59.