scholarly journals Detection and Diagnosis of Breast Diseases

Author(s):  
Mohammed Ali Alnafea
2020 ◽  
Vol 23 (1) ◽  
pp. 10-12
Author(s):  
Nelema Jahan ◽  
Md. Mamunur Rahman ◽  
Mohammad Shahidul Alam ◽  
Md Saiful Islam

Background: A breast lump is the most common symptom associated with both benign and malignant breast diseases. Therefore, a distinction of benign from malignant lump is of importance for proper management. Though a definitive diagnosis is possible with imaging for all the lesions, histopathological study is proven essential for confirming the diagnosis. Objective: The objective of this study was to evaluate the role of USG and histopathological findings of different breast lump in diagnosis and their comparison. Methods: A prospective study was conducted over a period of one year from January 2017 to December 2017. A total of 116 patients were included in this study. All breast lumps underwent surgery and the ultrasound findings of these lumps were compared with the histopathological findings. Data were collected from these patients by a preformed questionnaire and finally the data were analyzed. Results: Out of 116 patients only 21 cases were reported as malignant in ultrasound report but histopathology revealed 31 malignant patients. On histopathological examination 10 benign cases turned out to be malignant. Conclusion: The present study was undertaken to evaluate in diagnosing breast mass lesions individually by ultrasound and compared with histopathology for definitive management of a patient. Journal of Surgical Sciences (2019) Vol. 23 (1) : 10-12


2016 ◽  
pp. 72-74 ◽  
Author(s):  
M. Makarenko ◽  
◽  
D. Govsieiev ◽  
O. Gromova ◽  
L. Martynova ◽  
...  

The objective: to study the incidence of gynecological diseases, clinical and hormonal parameters of the menstrual cycle in patients with benign hyper-plastic processes of breasts. Patients and methods. 65 women with various forms of mastitis were investigated. The following investigations were conducted: mammologistic and gynecological investigation, mommologistic X-ray investigation, ultrasound of breasts and of the pelvic organs, endometrial aspiration biopsy that was followed by cytology; when it was necessary the diagnostic laparoscopy, colposcopy, hysteroscope with curettage and morphological investigation of the endometrium, hormone research and rectal temperature measurements were conducted. Results. The frequency of the benign breast diseases was set: fibrocystic disease of breast – 32 women (49.2±6.20%), fibrous of breast – 16 women (24.6±5.34%), nodular of breasts – 8 women (12.3±4.07%), fibroadenoma – 6 women (9.2±3.59%), nodular disease of breasts on the background of fibroid changes – 3 women (4.6±2.60%). All in all, 96.9±2.14% of the patients had any gynecological diseases. Thus, the average age of the ‘debut’ of mastitis was 31.4±1.09 years; the hyper-plastic processes in the uterus was 35.2±1.17 years. Anovulation was detected in 17 (47.2±8.3%) patients, the lack of the luteal phase (NLF) was detected in 11 (30.6±7.6) patients. Conclusions. Identified hormonal changes are typical for patients with the hyper-plastic processes of the reproductive organs with different localization (breasts, uterus, ovaries). Due to the commonality of the hormone changes in most cases mastitis is combined with the various gynecological diseases (96.9±2.14%). Key words: gynecological pathology, hormonal changes, breast, factors of risk.


Author(s):  
Bjorn John Stephen ◽  
Surabhi Suchanti ◽  
Rajeev Mishra ◽  
Abhijeet Singh

Author(s):  
A. Sivasangari ◽  
G. Sasikumar

Leukemia   disease   is one   of    the   leading   causes   of death   among   human. Its  cure  rate and  prognosis   depends   mainly   on  the  early  detection   and  diagnosis  of   the  disease. At  the  moment, identification  of  blood  disorders  is  through   visual  inspection  of  microscopic  images  by  examining  changes  like  texture, geometry, colour  and   statistical  analysis  of  images . This  project  aims  to  preliminary  of  developing  a  detection  of  leukemia  types  using   microscopic  blood  sample using MATLAB. Images  are  used  as  they  are  cheap  and  do  not  expensive  for testing  and  lab  equipment.


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