Fully Automated Postlumpectomy Breast Margin Assessment Utilizing Convolutional Neural Network Based Optical Coherence Tomography Image Classification Method

ConclusionIt is feasible to use CNN based algorithm to accurately distinguish cancerous regions in OCT images. This fully automated method can overcome limitations of manual interpretation including interobserver variability and speed of interpretation and may enable real-time intraoperative margin assessment.
Source: Academic Radiology - Category: Radiology Source Type: research

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UCLA researchers have developed an artificial intelligence system that could help pathologists read biopsies more accurately and to better detect and diagnose breast cancer.The new system,described in a study published today in JAMA Network Open, helps interpret medical images used to diagnose breast cancer that can be difficult for the human eye to classify, and it does so nearly as accurately or better as experienced pathologists.“It is critical to get a correct diagnosis from the beginning so that we can guide patients to the most effective treatments,” said Dr. Joann Elmore, the study’s senior author ...
Source: UCLA Newsroom: Health Sciences - Category: Universities & Medical Training Source Type: news
ConclusionMetabolic imaging could help to identify the subgroup of indolent lesions from those potentially aggressive ones that may be managed by active surveillance.Key Points• Low- and high-grade DCIS likely arise from two distinct evolutionary paths and when low-grade lesions progress to invasive cancer, the tumor is frequently low grade and well differentiated.• Ongoing clinical trials evaluate whether patients with low-risk DCIS could be safely managed by an active surveillance approach, with avoidance of unnecessary treatments and without impact on ipsilateral invasive breast cancer free survival time.&bull...
Source: European Radiology - Category: Radiology Source Type: research
Conclusion: The texture analysis for breast DCE-MRI proposed in this study demonstrated potential utility in HER2 2+ status discrimination. Background Human epidermal growth factor receptor 2 (HER2) is an orphan tyrosine kinase receptor. It is reported that HER2 is overexpressed in 15–20% of breast cancers. Overexpression of HER2 in breast cancer correlates with shortened disease-free survival. Compared with HER2-negative patients, patients with HER2-positive breast cancers have a poor prognosis, a high probability of lymph node metastasis and a high risk of recurrence (1–3). However, previous studies h...
Source: Frontiers in Oncology - Category: Cancer & Oncology Source Type: research
This study could significantly change the way we approach breast cancer screening." MRI is much more sensitive than mammography, "  saidGreg Karczmar, PhD, professor of radiology at the University of Chicago. " It can find invasive breast cancers sooner than mammograms and it can rule out abnormalities that appear suspicious on a mammogram. Unfortunately, MRI is much too expensive for routine screening. "
Source: radRounds - Category: Radiology Authors: Source Type: blogs
ConclusionsThough less performing than MRI, DBT-ABVS showed acceptable diagnostic accuracy in staging breast cancer. This strategy might be used if MRI is unavailable or unfeasible.
Source: European Journal of Radiology - Category: Radiology Source Type: research
ConclusionNaF PET has relatively low sensitivity in detecting breast cancer. However, abnormal breast uptake on NaF PET requires further evaluation. F-18 fluoride uptake in the primary breast tumor does not seem to be correlated with axillary lymphadenopathy (metastasis potential), gross tumor calcification or metabolic activity of the tumor.
Source: Annals of Nuclear Medicine - Category: Nuclear Medicine Source Type: research
ConclusionsWhole lumpectomy specimen micro-CT scanning is a promising technique for intraoperative margin assessment in BCS. Intraoperative quick feedback on the margin status could potentially lead to a reduction in the number of reoperations.
Source: European Journal of Surgical Oncology (EJSO) - Category: Surgery Source Type: research
Author Affiliations open 1Epidemiology Branch, National Institute of Environmental Health Sciences (NIEHS), National Institutes of Health (NIH), Department of Health and Human Services (DHHS), Research Triangle Park, North Carolina, USA 2Social &Scientific Systems, Inc., Durham, North Carolina, USA 3Westat, Durham, North Carolina, USA 4Department of Global Public Health and Primary Care, University of Bergen, Bergen, Norway 5Biostatistics and Computational Biology Branch, NIEHS, NIH, DHHS, Research Triangle Park, North Carolina, USA PDF Version (548 KB) Abstract About This Article Supplemental Material Bac...
Source: EHP Research - Category: Environmental Health Authors: Tags: Research Source Type: research
AbstractFollowing a baseline demographic survey, 87 pathologists interpreted 240 digital whole slide images of breast biopsy specimens representing a range of diagnostic categories from benign to atypia, ductal carcinoma in situ, and invasive cancer. A web-based viewer recorded pathologists ’ behaviors while interpreting a subset of 60 randomly selected and randomly ordered slides. To characterize diagnostic search patterns, we used the viewport location, time stamp, and zoom level data to calculate four variables: average zoom level, maximum zoom level, zoom level variance, and scan ning percentage. Two distinct sea...
Source: Journal of Digital Imaging - Category: Radiology Source Type: research
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Source: Molecular Carcinogenesis - Category: Molecular Biology Authors: Tags: RESEARCH ARTICLE Source Type: research
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