scholarly journals Web–Based Framework For Breast Cancer Classification

2014 ◽  
Vol 4 (2) ◽  
pp. 149-162 ◽  
Author(s):  
Tomasz Bruździński ◽  
Adam Krzyżak ◽  
Thomas Fevens ◽  
Łukasz Jeleń
Keyword(s):  
Breast Cancer ◽  
Fine Needle Aspiration ◽  
Fine Needle Aspiration Biopsy ◽  
Feature Vector ◽  
Needle Aspiration ◽  
Aspiration Biopsy ◽  
Web Based ◽  
Fine Needle ◽  
Segmentation Methods

Abstract The aim of this work is to create a web-based system that will assist its users in the cancer diagnosis process by means of automatic classification of cytological images obtained during fine needle aspiration biopsy. This paper contains a description of the study on the quality of the various algorithms used for the segmentation and classification of breast cancer malignancy. The object of the study is to classify the degree of malignancy of breast cancer cases from fine needle aspiration biopsy images into one of the two classes of malignancy, high or intermediate. For that purpose we have compared 3 segmentation methods: k-means, fuzzy c-means and watershed, and based on these segmentations we have constructed a 25–element feature vector. The feature vector was introduced as an input to 8 classifiers and their accuracy was checked. The results show that the highest classification accuracy of 89.02 % was recorded for the multilayer perceptron. Fuzzy c–means proved to be the most accurate segmentation algorithm, but at the same time it is the most computationally intensive among the three studied segmentation methods.

scholarly journals Developing a Breast Fine Needle Aspiration Biopsy Service in Peru

2016 ◽  
Vol 2 (3_suppl) ◽  
pp. 16s-16s
Author(s):  
Dianna Ng ◽  
Britt-Marie Ljung ◽  
Ricardo Bardales ◽  
Milagros Abad ◽  
Manuel Cedano ◽  
...  
Keyword(s):  
Breast Cancer ◽  
Fine Needle Aspiration ◽  
Fine Needle Aspiration Biopsy ◽  
Phase 1 ◽  
Needle Aspiration ◽  
Aspiration Biopsy ◽  
Phase 2 ◽  
Cancer Society ◽  
Fine Needle ◽  
Needle Aspiration Biopsy

Abstract 6 Background: Breast cancer incidence is increasing in developing countries. In 2010, 57.8% of breast cancers in Peru were at least stage III at diagnosis. Federal and regional Peruvian institutions partnered with several organizations, including UCSF, to improve access and quality of breast cancer care in Peru. Phase 1 involved screening with clinical breast exam, creating a community-based referral system for women with masses, and promoting evaluation of lesions using fine needle aspiration biopsy (FNAB) by trained physicians, with treatment at the regional cancer institute. Curricula for each activity were developed and validated. During phase 1, in-country FNAB expertise was recognized as limited. For phase 2, the critical objective was to solidify local capacity for high-quality FNAB and integrate FNAB into standard of care for breast cancer. Methods: Three main activities were completed during phase 2. 1) Develop a Training of Trainers (ToT) curriculum for FNAB, and identify master trainers and trainees. 2) Facilitate endorsement of a national approach to training FNAB and undertake preliminary rollout in La Libertad region. 3) Strengthen interpretation and reporting of FNAB results. Results: A 5-day ToT pilot course occurred during October 19-23, 2014. Prior to the course, women with palpable masses were identified during a breast screening campaign and scheduled for FNAB. Regional, national and international clinical teams observed, procured and interpreted FNAB. Four new cases of cancer and eight cases of granulomatous mastitis were diagnosed. Slide quality before and after the training intervention will be compared. Following the course, a one-day validation meeting including physicians and national leaders took place at the national cancer center in Lima, Peru. FNAB was endorsed for early diagnosis and triage. Conclusions: To ensure sustainability of FNAB, cytology fellowships and training centers are needed. Strengthening partnerships will be critical for long-term capacity. An electronic reporting system will be developed to replace paper-based methods. Funding: Norwegian Cancer Society/Norwegian Breast Cancer Society (NCS/NBCS), Susan G. Komen for the Cure, The PATH Catalyst Fund. AUTHORS' DISCLOSURES OF POTENTIAL CONFLICTS OF INTEREST: No COIs from the authors.

scholarly journals Reliability of fine needle aspiration biopsy in diagnosis of breast lump

2019 ◽  
Vol 15 (1) ◽  
pp. 61-67
Author(s):  
Sarab K. Abedalrahman
Keyword(s):  
Breast Cancer ◽  
Fine Needle Aspiration ◽  
Fine Needle Aspiration Biopsy ◽  
False Negative ◽  
Screening Method ◽  
Needle Aspiration ◽  
Aspiration Biopsy ◽  
Breast Lump ◽  
Fine Needle ◽  
Needle Aspiration Biopsy

Background: breast cancer is commonest cancer globally and the 1st cancer in Iraq among females, its management and prognosis depend on early diagnosis, the traditional method was excisional biopsy which is expensive and invasive leading to delayed diagnosis, FNAB is cheap nom invasive more acceptable to women, Aim of the study: to test the reliability of FNAB in preoperative diagnosis of breast lump. Methodology: This is a retrospective study of 204 cases, 102 breast cancer cases and 102 benign breast lesions, taken between Jan. 2017 – Nov. 2017. The sample taken from the breast cancer early detection center in  Al-Alwiyaa maternity teaching hospital, during the year 2017 Results: Invasive ductal carcinoma (IDC) was found among  82(80.4%) of malignant cases, ILC was 14(13.7%) , fibroadenoma was the most common  benign lesions 51(50%), The absolute sensitivity was 96% , specificity 100%, with 4% false negative the accuracy was 98%. The complete sensitivity was 96%, and specificity was 83%, with 4% false negative and 17% false positive cases, the accuracy was 90%, Conclusion and recommendation: fine-needle aspiration biopsy (FNAB) is accurate for breast lump diagnosis. With high sensitivity and specificity. FNAB is a good screening method and help in an improvement of treatment planning

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