background: studies have shown that obese individuals are at increased risk of breast cancer development and poorer prognosis. leptin, an adipose tissue-derived hormone, has pro-inflammatory and proliferative effects and a well-established association with several comorbidities of obesity. this study was designed and conducted to compare the serum levels of leptin in patients with malignant and...

dermatomyositis (dm) is a rare idiopathic inflammatory myopathy with characteristic skin lesions. case series have shown an association between dermatomyositis and malignancy. malignancy has been found in 15-25% of the adult patients with dermatomyositis. a 50-year-old new case of breast cancer, was admitted with muscle weakness and inability to walk. physical examination revealed fever, perior...

Mammographic risk assessment is becoming increasingly important in decision making in screening mammography and computer aided diagnosis systems. Strong evidence shows that characteristic patterns of breast tissue as seen in mammography, referred to as mammographic parenchymal patterns, provide crucial information about breast cancer risk. Quantitative evaluation of the characteristic mixture o...

background : magnetic resonance imaging of the breast is becoming a useful adjunct to mammography and sonography for the detection of breast lesions. however, it is not yet accepted as a routine examination for all breast cancer patients due to the lack of data regarding whether breast magnetic resonance imaging impacts recurrence or survival. this trial examines the use of magnetic resonance i...

Diagnostically challenging lesions comprise both foci (small lesions) and non-mass-like enhancing lesions and pose a challenge to current computer-aided diagnosis systems. Motion-based artifacts lead in dynamic contrast-enhanced breast magnetic resonance to diagnostic misinterpretation; therefore, motion compensation represents an important prerequisite to automatic lesion detection and diagnos...

Diagnostically challenging lesions comprise both foci (small lesions) and non-mass-like enhancing lesions and pose a challenge to current computer-aided diagnosis systems. Motion-based artifacts lead in dynamic contrast-enhanced breast magnetic resonance to diagnostic misinterpretation; therefore, motion compensation represents an important prerequisite to automatic lesion detection and diagnos...

background: we conducted our study on 1110 patients with breast masses in order to investigate different aspects of power doppler sonography (pds) for differentiating between benign and malignant breast lesions and their prognostication. materials and methods: this study was conducted on the women who were referred to the sonography units of university hospitals for breast sonography and had a ...

In this paper we apply multi-vector Hidden Markov Random Fields to tissue segmentation of Magnetic Resonance (MR) breast images. Our proposed method performs segmentation using a stack of 3 MR breast slices 1mm apart. The approach takes into account neighborhood voxel information rather than merely neighborhood pixel information and the results are anatomically more plausible in comparison with...

This paper presents a novel method for automatic lesion detection in breast ultrasound images; the method performs multi-stage learning of lesion-specific boundaries represented by a bag of robust features. The proposed method can be seen as an edge pruning procedure that leaves only object-specific edges and filters out the rest. It can be combined with segmentation algorithms that rely on edg...

In cases with breast cancer, probably benign lesions can also be seen in the other areas of breast. It is known that neoadjuvant chemotherapy causes morphological changes normal tissue and lesions, addition to effects on malignant mass. complete response chemotherapy, without diagnosis cause a dilemma conserving surgery plan, when they shrink or disappear at end treatment. We aimed demonstrate ...