Artificial intelligence for breast cancer detection in mammography: experience of use of the ScreenPoint Medical Transpara system in 310 Japanese women.

Artificial intelligence for breast cancer detection in mammography: experience of use of the ScreenPoint Medical Transpara system in 310 Japanese women. Breast Cancer. 2020 Feb 12;: Authors: Sasaki M, Tozaki M, Rodríguez-Ruiz A, Yotsumoto D, Ichiki Y, Terawaki A, Oosako S, Sagara Y, Sagara Y Abstract BACKGROUND: To compare the breast cancer detection performance in digital mammograms of a panel of three unaided human readers (HR) versus a stand-alone artificial intelligence (AI)-based Transpara system in a population of Japanese women. METHODS: The subjects were 310 Japanese female outpatients who underwent digital mammographic examinations between January 2018 and October 2018. A panel of three HR provided a Breast Imaging Reporting and Data System (BI-RADS) score, and Transpara system provided an interactive decision support score and an examination-based cancer likelihood score. The area under the receiver operating characteristic curve (AUC), sensitivity, and specificity were compared under each of reading conditions. RESULTS: The AUC was higher for human readers than with stand-alone Transpara system (human readers 0.816; Transpara system 0.706; difference 0.11; P 
Source: Breast Cancer - Category: Cancer & Oncology Authors: Tags: Breast Cancer Source Type: research

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BOSTON (CBS) — Julie Tolek remembers the exact minute her life changed forever: June 26, 2019. It was eight in the morning when she was diagnosed with breast cancer. “I thought I was in a dream. Nightmare, I guess, is a better description,” Tolek recalled. “I couldn’t say the word. It couldn’t be my life.” The diagnosis: stage two grade two invasive ductal carcinoma — an aggressively growing cancer. “I chose to have a double mastectomy even though my cancer was only in one breast. I decided I wanted to do everything in my power to not have to go through this again,&rdqu...
Source: WBZ-TV - Breaking News, Weather and Sports for Boston, Worcester and New Hampshire - Category: Consumer Health News Authors: Tags: Boston News Health Syndicated Local Breast Cancer Coronavirus Juli McDonald Mammograms Source Type: news
AbstractObjectivesTo evaluate the usefulness of bilateral mammography in male patients with unilateral breast symptoms, including investigation of the diagnostic performance of unilateral and bilateral reviews and the average glandular dose (AGD) per exposure.MethodsTwo hundred seventy-one consecutive male patients (mean age, 57  years) with unilateral breast symptoms underwent bilateral mammography. Image interpretation was performed in two ways, first with a unilateral review of the symptomatic breast and then with a bilateral review. A modified BI-RADS scale (from 1 to 5) was used. The diagnostic performance of uni...
Source: European Radiology - Category: Radiology Source Type: research
Study shows three risk factors for breast cancer can be passed down through genes.
Source: Diagnostic Imaging - Category: Radiology Authors: Tags: Breast Cancer Cancer and Genetics Dense Breasts Mammography Source Type: news
The Research Letter titled “Evaluation of Triple-Negative Breast Cancer Early Detection Via Mammography Screening and Outcomes in African American and White American Patients,” published online February 19, 2020, included an error in the Methods section and another in the Results section. The Methods section notes the dat e of study termination as April 30, 2018. In fact, it was September 14, 2018. The Results section notes a median (range) follow-up time as 50.3 (1-36) months for African American patients; this should have been reported as 50.3 (1-91) months. Both errors have been corrected online.
Source: JAMA Surgery - Category: Sports Medicine Source Type: research
ConclusionsAccordingly, data mining approaches are proved to be a helpful tool to make the final decision as to whether patients should be referred to biopsy or not based on mammography reports. The developed CDSS may also be helpful especially for less experienced radiologists.
Source: Health Information Science and Systems - Category: Information Technology Source Type: research
We present a deep convolutional neural network for breast cancer screening exam classification, trained, and evaluated on over 200000 exams (over 1000000 images). Our network achieves an AUC of 0.895 in predicting the presence of cancer in the breast, when tested on the screening population. We attribute the high accuracy to a few technical advances. 1) Our network’s novel two-stage architecture and training procedure, which allows us to use a high-capacity patch-level network to learn from pixel-level labels alongside a network learning from macroscopic breast-level labels. 2) A custom ResNet-based network used as a...
Source: IEE Transactions on Medical Imaging - Category: Biomedical Engineering Source Type: research
Condition:   Breast Cancer Interventions:   Diagnostic Test: Serum Autotaxin;   Radiation: chest x-ray;   Diagnostic Test: Breast ultrasound or mammography;   Diagnostic Test: Histopathological examination of breast mass specimens;   Radiation: Magnetic Resonance Imaging ( MRI) and Bone scan;   Diagnostic Test: Peripheral  haemogram;   Diagnostic Test: Renal and liver functions;   Diagnostic Test: Prothrombin time and concentration;   Diagnostic Test: Cancer Antigen...
Source: ClinicalTrials.gov - Category: Research Source Type: clinical trials
Research reveals half of radiologists saw no change in their recall rates.
Source: Diagnostic Imaging - Category: Radiology Authors: Tags: Breast Cancer Breast Imaging Mammography Tomosynthesis Source Type: news
ConclusionsBoth CESM and MRI are effective methods for the detection of breast cancer with high diagnostic sensitivity. The diagnostic performance of CESM appears to be more effective than MRI.
Source: Thoracic Cancer - Category: Cancer & Oncology Authors: Tags: ORIGINAL ARTICLE Source Type: research
Dr. Laura Mulvey, 33, practices emergency medicine at Maimonides Medical Center in Brooklyn, New York. After spending six days receiving treatment in her own hospital, she is now recovering at home from what is presumed to be COVID-19, though her test was inconclusive. What follows is a lightly-edited transcript of her story as told to TIME. Early on, sometime in February, [COVID-19] was something that people were thinking about. And worried about. Certainly, the worries were not what they are now. But hospital-wise, we had a bit of an earlier jump on it, because we recognized that this was a potential threat. We’re ...
Source: TIME: Health - Category: Consumer Health News Authors: Tags: Uncategorized COVID-19 UnitedWeRise20Disaster Source Type: news
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