MRI finds breast cancer early in women with family history

MRI finds breast cancer earlier than digital mammography in women with a family...Read more on AuntMinnie.comRelated Reading: Surveillance breast MRI is double-edged sword ISMRM: Personalized breast cancer screening is at hand ISMRM: Breast MRI confirms lymph node response to therapy SMRT: Abbreviated protocol may address barriers to breast MRI screening ARRS: Is follow-up breast MRI OK for BI-RADS 3 cases?
Source: AuntMinnie.com Headlines - Category: Radiology Source Type: news

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Abstract Intramammary lymph nodes (IMLN) are one of the most common benign findings at screening mammography. However, abnormal IMLN features, such as diminished or absent hilum, thickened cortex, not circumscribed margins, increased size or interval change, warrants additional follow-up or pathologic analysis to exclude malignancy. Some benign inflammatory conditions may be associated with imaging-detected suspected abnormal IMLN, such as reactive hyperplasia and silicone-induced lymphadenopathy. In patients with known breast cancer, IMLN are a potential site of locoregional spread, which can change the prognosis...
Source: The British Journal of Radiology - Category: Radiology Authors: Tags: Br J Radiol Source Type: research
Publication date: Available online 18 July 2019Source: NeurocomputingAuthor(s): Runze Wang, Yide Ma, Wenhao Sun, Yanan Guo, Wendao Wang, Yunliang Qi, Xiaonan GongAbstractMass segmentation in mammograms is an important and challenging topic in breast cancer computer-aided diagnosis. In this work, we propose a novel multi-level nested pyramid network (MNPNet) for dealing with the limitations of intra-class inconsistency and inter-class indistinction that commonly existed in mass segmentation in mammograms. The MNPNet includes an encoder and a decoder. The former encodes contextual information, low-level detail information, a...
Source: Neurocomputing - Category: Neuroscience Source Type: research
Conclusions: The findings offer implications for health policy aimed at increasing BC screening by leveraging enabling factors among medically underserved KA women at both structural and cultural levels. PMID: 31308615 [PubMed - in process]
Source: Ethnicity and Disease - Category: International Medicine & Public Health Tags: Ethn Dis Source Type: research
CONCLUSION: Imaging findings on preoperative mammography, US and MRI are effective predictors for nipple involvement by cancer. ADVANCES IN KNOWLEDGE: Preoperative mammography, ultrasonography, and MRI help predict nipple involvement by breast cancer. PMID: 31317763 [PubMed - as supplied by publisher]
Source: The British Journal of Radiology - Category: Radiology Authors: Tags: Br J Radiol Source Type: research
iCAD, a company based in Nashua, New Hampshire, won European CE Mark approval for its ProFound AI for 2D Mammography software system. The product relies on a “high-functioning, deep learning” artificial intelligence algorithm to a...
Source: Medgadget - Category: Medical Devices Authors: Tags: Ob/Gyn Radiology Surgery Source Type: blogs
In the original publication of the article, under the Methods section, second paragraph, the sentence that reads as “We excluded 3047 patients … surgical treatment (see Fig. 1)” should read as “We excluded 3047 patients who did not identify as black or white, 5395 who were not initially diagnosed with stage 0–III cancer or were missing stage or residence data, 2573 patients who passed away within 18 m onths of diagnosis, and 4716 patients who did not undergo primary surgical treatment (see Fig. 1)”.
Source: Breast Cancer Research and Treatment - Category: Cancer & Oncology Source Type: research
Abstract Obesity is associated with adipose inflammation, defined by macrophages encircling dead adipocytes, as well as extracellular matrix (ECM) remodeling and increased risk of breast cancer. Whether ECM affects macrophage phenotype in obesity is uncertain. A better understanding of this relationship could be strategically important to reduce cancer risk or improve outcomes in the obese. Utilizing clinical samples, computational approaches, and in vitro decellularized ECM models, this study quantified the relative abundance of pro (M1)- and anti (M2)-inflammatory macrophages in human breast adipose tissue, dete...
Source: The American Journal of Pathology - Category: Pathology Authors: Tags: Am J Pathol Source Type: research
ConclusionAlthough the majority of screen-detected cancers are equal to more conspicuous on SM when compared to FFDM, calcifications and asymmetries
Source: Academic Radiology - Category: Radiology Source Type: research
Abstract PURPOSE: To investigate whether digital breast tomosynthesis (DBT) and subsequently generated synthesized mammography (SM) images show a better performance than full-field digital mammography (FFDM) images for diagnosing malignant breast lesions. In addition, the radiation doses for SM using different procedures were compared. MATERIALS AND METHODS: This prospective study enrolled 212 women (age ≥ 25 years) with clinically suspicious breast lesions. All participants underwent FFDM and DBT with the same breast compression. Finally, 222 lesions were confirmed by pathological analy...
Source: Breast Cancer - Category: Cancer & Oncology Authors: Tags: Breast Cancer Source Type: research
iCAD reached a significant milestone this week by receiving CE mark for its artificial intelligence (AI) breast cancer detection solution. The Nashua, NH-based company said ProFound AI for 2-D Mammography is a deep-learning algorithm that analyzes each mammography image and provides insight into each individual case, such as highlighting the most suspicious areas and assigning Certainty of Finding and Case Scores, which can assist radiologists in making clinical decisions and prioritizing caseloads. "Europe contains 9% of the world's population but has more than 23% of the global cancer burden, with breast cancer bein...
Source: MDDI - Category: Medical Devices Authors: Tags: Imaging Source Type: news
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