Computational methods used in the study of border breast lesions diagnosed by mammography and ultrasound (original) (raw)
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Computational Techniques for the Support of Breast Tumor: Diagnosis on Ultrasound Images
2004
This work presents a new approach in the application of computer vision techniques to asses the diagnosis of solid breast tumors on ultrasound images. Most works related to medical image analysis for breast cancer detection refer to mammographies. However, the studies carried out by the radiologists prove the significance of some aspects observed on ultrasound images, which are spiculation, calcifications, ellipsoid shape, taller than wide shape, echogenicity, capsule, angular margins, microlobulations, two or three gentle lobulations, acoustic shadow and ramifications. We have developed a common framework for the analysis of such diagnosis criteria, so that they can be measured by the computer and a set of parameters are available for the physicans to decide whether the biopsy is necessary or not. The results produced by the system have been compared to those given by three specialists to adjust the parameters and test their accuracy. The presence or absence of the diagnosis factors coincides for human and computer in most of the nodules. In some cases, the computer indicated the presence of suspicious factors which were not actually worrisome, but the most important aspect is avoiding overlooking the malignant nodules without needing carrying out a biopsy in all of them. We present a set of mathematical methods to extract objective evidence of the presence or absence of the diagnosing criteria. This system is able to extract the relevant features for solid breast nodules with high accuracy and represents a very valuable help in the assessment of radiologists.
Evaluation of Breast Lesions Using Mammography
Pakistan BioMedical Journal
The second leading cause of death is breast cancer and annual mammograms have been found to incite the early identification of breast cancer.The diagnosis of cancer at initial stage is helpful in lowering the mortality rate. The most prevalent pathologies of breast cancer are swelling, cysts, and adenosis, and benign or malignant tumors. Objective: To evaluate Breast Lesions Using Mammography.Method: It was a cross-sectional study comprised of a sample size of 47 female patients, calculated via a convenient sampling approach. Women with age of 29 years and above were included in this study. The study was performed in Faisalabad, Pakistan from December 2021 to March 2022. The digital mammographic equipment was used in this study and data was entered and analyzed by SPSS version 20. Results: The majority 33(70.2%) patients were included in 30-49 years age group while least were 2(4.3%) in 70 and above. The ill-defined shape tumors were 18 (38.3%) and the the microlobulated shaped tum...
Evaluation of breast lesions on mammography, tomosynthesis, ultrasound and elastography
International Journal of Radiology and Diagnostic Imaging
Aim and objectives: To Assess the role of Mammography, Tomosynthesis, Ultrasonography and Elastography in evaluation of breast lesions. Methods: Prospective study was carried out on 100 patients of breast lesions in Dr. D.Y. Patil Medical College, Hospital and Research Centre, Pimpri, Pune over a period of two years. Patients were evaluated with Mammomatand Arieta s60 Mammography and Ultrasound machine respectively. Characteristics of breast lesions on mammography, Tom synthesis, ultrasonography and Elastography was studied. Comparison was made with histopathological reports to study accuracy of various above mentioned modalities in differentiating benign and malignant breast lesions. Results: 100 cases were included in our study. Out of the total 100 cases, mammography was able to detect calcifications in 8 cases while Tomosynthesis could pick up the calcifications in additional 4 cases, whereas ultrasound was able to detect calcifications in only 6 cases, thus making Tom synthesis a better modality to detect calcifications, and ultrasound not a very efficient modality to detect calcification. Out of the total 100 cases Elastography was performed in only 70 cases .Elastography was performed by both qualitative and semi quantitive methods. Strain ratio was not calculated in cysts (10 cases).Only BGR sign was seen in cysts. Strain ratio was less than 3.1 in 33 cases out of total 60 cases. Strain ratio was more than 3.1 in 27 cases out of total 60 cases. BGR sign was seen in remaining 10 cases in our study we found that Elastography was a better modality in detecting malignancy than ultrasound B-mode alone. Conclusion: A combined approach using sonography, Elastography and mammography in evaluation of patients presenting with palpable breast masses is better than individual modalities.
Comparative Diagnostic Study on Breast Lesions
Journal of Evolution of Medical and Dental Sciences, 2016
BACKGROUND The aim of the study is to evaluate the breast lumps using ultrasound and mammogram independently and in combination. METHODS In this study group there were 30 patients, out of whom 29 were female and one male patient. They presented with breast symptoms such as palpable lumps, breast pain and nipple discharge. They were examined prospectively over a period of six months. After examining with both the methods, FNAC correlation was done with each method. RESULTS In this study the sensitivity of the mammogram is 95% in detecting lesions and the specificity is 67% giving an accuracy of 90%; the sensitivity of USG is 90% and specificity is only 40% giving an accuracy of 70%. Cytology has a sensitivity of 85% and specificity of 50% and the accuracy is 77%. With the combined modality, the sensitivity is 96% and the specificity is 83% and accuracy is 94%. The study concludes that the sensitivity is increased when both the modalities are used in conjunction and with a needle biopsy it achieves a satisfactory specificity and it avoids unnecessary benign surgical biopsies.
Radiologia Brasileira, 2013
Objective To compare the capacity of mammography, sonoelastography, B-mode ultrasonography and histological analysis to differentiate benign from malignant breast lesions. Materials and Methods A total of 12 histopathologically confirmed breast lesions were documented. The lesions were assessed by means of mammography, B-mode ultrasonography and sonoelastography, and histopathological analysis was utilized as a gold standard. Sensitivity and specificity were calculated. A receiver operating characteristic (ROC) curve was constructed to evaluate the diagnostic performance of the mentioned techniques. Results Sensitivity and specificity in the differentiation between benign and malignant lesions were respectively 100% and 50% for mammography, 100% and 71% for B-mode ultrasonography, and 67% and 83% for sonoelastography. The area under the ROC curve was calculated for the three imaging modalities and corresponded to 0.792 for mammography, 0.847 for B-mode ultrasonography, and 0.806 for...
Computerized ultrasound B-scan characterization of breast nodules
Ultrasound in Medicine & Biology, 2000
The ability of computerized parameters to discriminate benign from malignant breast nodules from digitized ultrasonic acquisitions has been assessed. The images of 75 lesions, including 19 lesions proved to be malignant at histology and 56 found to be benign, were digitized and characterized by morphometric and texture parameters. The texture parameters, derived from first-order statistics, run-length matrices and co-occurrence matrices, were computed in the entire lesion and in a ring-shape region surrounding the contour of the lesion. The strongest features were found to be issued from the second region. Further investigations confirmed that the discriminant information was contained in the external part of the lesion and, to a lesser extent, in the neighboring tissue. A linear discriminant analysis using three features yielded a sensitivity of 94.7% for a specificity of 80.4% and the "leave-one-out" technique confirmed the results. Comparison with the classifications given by radiologists let us assume that information revealed by texture features is able to help the physician in reducing the number of unnecessary biopsies.
The importance of combining of ultrasound and mammography in breast cancer diagnosis
Acta Medica Academica, 2011
Objective. The aim of this study was to analyse individual and combined sensitivity and specificity of ultrasound and mammography in breast cancer diagnosis and emphasize the importance of combining breast imaging modalities. Patients and methods. By means of a cross-sectional study, ultrasound and mammographic examinations of 148 women (mean age 51.6 ± 10.8 years) with breast symptoms were analysed. All women underwent surgery and all lesions were examined by histopathology analysis which revealed the presence of 63 breast cancers, and 85 benign lesions. In relation to age, the women were separated in to a group under 50 years and a group 50 years and older. Ultrasound and mammographic findings were classified on the BI-RADS categorical scale of 1-5. Categories 1, 2 and 3 were considered negative, while categories 4 and 5 were positive for cancer. For statistical data processing the McNemar chi-square test for paired proportions was used. The differences on the level of p<0.05 were considered statistically significant. Results. In the group under 50 years, the ultrasound sensitivity was significantly higher than the mammographic sensitivity (p=0.045, c2=4), without a statistically significant difference in specificity (p=0.24, c2=1.39). In the women over 50, a significant difference between sensitivity of ultrasound and mammography was not proved (p=0.68, c 2 =0.17), nor any difference in the specificities (p=0.15, c 2 =2.08). In the group consisting of all patients, the sensitivity of ultrasound was statistically significantly higher in comparison with the sensitivity of mammography (p=0.04, c 2 =4.27) with higher specificity (p=0.04, c 2 =4). By combining the two methods in all patients sensitivity of 96.8% was achieved, in patients up to 50 sensitivity was 90.47% and in patients over 50, sensitivity was 100%. When the two methods were combined in all patients, a decrease in specificity was noted. Conclusion. The combination of ultrasound and mammography in breast cancer diagnosis achieves high sensitivity and the number of undetected breast cancers is reduced to minimum.
Computer-aided detection/diagnosis of breast cancer in mammography and ultrasound: a review
Clinical Imaging, 2013
Breast cancer is the most common form of cancer among women worldwide. Early detection of breast cancer can increase treatment options and patients' survivability. Mammography is the gold standard for breast imaging and cancer detection. However, due to some limitations of this modality such as low sensitivity especially in dense breasts, other modalities like ultrasound and magnetic resonance imaging are often suggested to achieve additional information. Recently, computer-aided detection or diagnosis (CAD) systems have been developed to help radiologists in order to increase diagnosis accuracy. Generally, a CAD system consists of four stages: (a) preprocessing, (b) segmentation of regions of interest, (c) feature extraction and selection, and finally (d) classification. This paper presents the approaches which are applied to develop CAD systems on mammography and ultrasound images. The performance evaluation metrics of CAD systems are also reviewed.
The accuracy of ultrasound in the diagnosis of breast disease
Annals of the Royal College of Surgeons of England, 1986
The accuracy of breast ultrasound using all purpose static beta-scanning equipment has been compared with mammography. Ultrasound was found to be both more sensitive (93%:82%) and specific (95%:89%) in a large retrospective series of 1000 patients undergoing investigation for symptomatic breast disease. In a smaller prospective and consecutive series of 142 patients undergoing surgery where histological proof was obtained ultrasound was also found to be more sensitive (91%:81%) and specific (81%:69%). In both studies, the greater accuracy of ultrasound was attributed to its ability to diagnose lesions hidden in X-ray dense breasts and where mammography had revealed featureless asymmetical densities of uncertain nature. In these instances ultrasound may have a significant role to play as an adjunct to mammography in the preoperative assessment of breast lesions.
Computer Aided Detection of Mammographic Lesions
2021
1Mr. Deep Mehta, Student, Shah & Anchor Kutchhi Engineering College, Maharashtra, India 2Mr. Saurabh Mehta, Student, Shah & Anchor Kutchhi Engineering College, Maharashtra, India 3Mr. Ayush Patel, Student, Shah & Anchor Kutchhi Engineering College, Maharashtra, India 4Prof. Swati Nadkarni, Dept. of IT Engineering, Shah & Anchor Kutchhi Engineering College, Maharashtra, India ---------------------------------------------------------------------***---------------------------------------------------------------------Abstract Breast cancer is the most common form of cancer among women and it has surpassed lung cancer as the most commonly diagnosed cancer, with an estimated 2.3 million new cases which is (11.7%) of all cancer cases by 2020. The rates of women suffering from breast cancer have been increasing at an alarming rate in recent years all around the globe. Probability out of 100, more than 30 women suffer from breast cancer once in a whole life. When trying to find the main reas...