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1.
J Digit Imaging ; 33(2): 361-374, 2020 04.
Article in English | MEDLINE | ID: mdl-31728805

ABSTRACT

Peripheral blood smear analysis plays a vital role in diagnosing many diseases including cancer. Leukemia is a type of cancer which begins in bone marrow and results in increased number of white blood cells in peripheral blood. Unusual variations in appearance of white blood cells indicate leukemia. In this paper, an automated method for detection of leukemia using image processing approach is proposed. In the present study, 1159 images of different brightness levels and color shades were acquired from Leishman stained peripheral blood smears. SVM classifier was used for classification of white blood cells into normal and abnormal, and also for detection of leukemic WBCs from the abnormal class. Classification of the normal white blood cells into five sub-types was performed using NN classifier. Overall classification accuracy of 98.8% was obtained using the combination of NN and SVM.


Subject(s)
Leukemia , Algorithms , Automation , Humans , Image Processing, Computer-Assisted , Leukemia/diagnosis , Leukocytes
2.
Indian J Pathol Microbiol ; 61(1): 127-130, 2018.
Article in English | MEDLINE | ID: mdl-29567902

ABSTRACT

Female urethral carcinoma is extremely rare and accounts for 0.02% of all women's cancers and <1% of cancers in the female genitourinary tract. Adenocarcinoma accounts for only 10% of urethral carcinomas in females. Due to their location, presentation is usually late and tumors are often missed on physical examination. As in this case, nonspecific symptoms in the early stages may delay the diagnosis in most patients. Herein, we present an extremely rare case of the columnar type of primary female urethral adenocarcinoma exhibiting colonic adenocarcinoma features which to the authors' best knowledge has not been reported to date. The present study emphasizes the importance of a careful clinical examination and also highlights the role of imaging studies, and biopsy in making an accurate preoperative diagnosis of this rare disease. The disease may have devastating sequelae due to local and metastatic involvement if not recognized and treated earlier.


Subject(s)
Adenocarcinoma/pathology , Urethral Neoplasms/diagnosis , Abdomen/diagnostic imaging , Female , Humans , Immunohistochemistry , Middle Aged , Ultrasonography , Urethra/pathology , Urethral Neoplasms/classification , Urethral Neoplasms/diagnostic imaging , Urethral Neoplasms/pathology
3.
Indian J Pathol Microbiol ; 59(4): 541-544, 2016.
Article in English | MEDLINE | ID: mdl-27721294

ABSTRACT

Plasma cell leukemia (PCL) is a rare and aggressive variant of myeloma accounting for 2-3% of all plasma cell dyscrasias characterized by the presence of circulating plasma cells. The diagnosis is based on the % (≥20%) and absolute number (≥2x10 9 /L) of plasma cells in the peripheral blood. The incidence of primary PCL (pPCL) is very rare and reported to occur in <1 in a million. It is classified as either pPCL occurring at diagnosis or as secondary PCL in patients with relapsed/refractory myeloma. pPCL is a distinct clinicopathological entity with different cytogenetic and molecular findings. The clinical course is aggressive with short remissions and survival duration. We report two cases of pPCL, both having acute onset of illness, varied clinical presentation with one of them showing "hairy cell morphology," with rapidly progressing renal failure, and was not suspected to be plasma cell dyscrasia clinically. A detailed hematopathological evaluation clinched the diagnosis in this case. It is recommended that techniques such as immunophenotyping by flow cytometry and protein electrophoresis must be performed for confirmatory diagnosis. A detailed report of two cases and a review of PCL are presented here.


Subject(s)
Leukemia, Plasma Cell/diagnosis , Leukemia, Plasma Cell/pathology , Acute Kidney Injury , Aged , Blood Proteins/analysis , Electrophoresis , Humans , Immunophenotyping , Leukemia, Plasma Cell/complications , Male , Middle Aged , Plasma Cells/cytology
4.
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