Womens Imaging: Page 85

Harmonic, subharmonic ultrasound characterizes breast lesions
By Amerigo Allegretto
Monday, November 29 | 3:00 p.m.-4:00 p.m. | SSBR04-4 | Room TBAIn this presentation, Flemming Forsberg, PhD, from Thomas Jefferson University in Philadelphia will discuss characterizing breast lesions with 3D harmonic and subharmonic ultrasound.
November 15, 2021
PET/MRI shows prowess for nodal staging in breast cancer
By Amerigo Allegretto
Sunday, November 28 | 10:30 a.m.-11:30 a.m. | SSNMMI01-4 | Room TBAIn this presentation, researchers will compare nodal staging between CT, MRI, and FDG-PET/MRI in patients with newly diagnosed breast cancer.
November 15, 2021
Combining radiomics, AI with PET/MRI helps assess nodal status
By Amerigo Allegretto
Sunday, November 28 | 10:30 a.m.-11:30 a.m. | SSNMMI01-3 | Room TBAHere, researchers will talk about how applying radiomics and machine learning to FDG-PET/MRI can noninvasively assess nodal status and treatment planning for breast cancer patients.
November 15, 2021
DBT continues to show promise a decade after commercial availability
By Amerigo Allegretto
Sunday, November 28 | 10:30 a.m.-11:30 a.m. | SSBR01-2 | Room TBAPresenters will give the verdict on whether digital breast tomosynthesis (DBT) has been a successful screening method since the first commercially available system was released in 2011.
November 15, 2021
Pandemic affected DBT recall, false-positive rates
By Amerigo Allegretto
Sunday, November 28 | 10:30 a.m.-11:30 a.m. | SSBR01-6 | Room TBAIn this Sunday presentation, researchers will discuss the results of a study measuring how the COVID-19 pandemic affected recall and false-positive rates for digital breast tomosynthesis (DBT) and digital mammography.
November 15, 2021
AI model shows promise in detecting lesions from DBT data
By Amerigo Allegretto
Wednesday, December 1 | 3:00 p.m.-4:00 p.m. | SSBR09-3 | Room TBAIn this talk, researchers will discuss an artificial intelligence (AI) algorithm that detects lesions using datasets from digital breast tomosynthesis (DBT) exams.
November 14, 2021
Deep-learning tool triages women with decreased breast density
By Amerigo Allegretto
Wednesday, December 1 | 3:00 p.m.-4:00 p.m. | SSBR09-4 | Room TBAIn this Wednesday talk, researchers will present findings from their study of nearly 2,700 women that used a convolutional neural network in predicting mammographic density percentage from MRI scans.
November 14, 2021
'Plug-and-play' AI method helps with microcalcifications on DBT
By Amerigo Allegretto
Tuesday, November 30 | 9:30 a.m.-10:30 a.m. | SSPH09-6 | Room TBAResearchers will present results from a "plug-and-play" artificial intelligence (AI) algorithm that they say has the potential to improve detection of microcalcifications on digital breast tomosynthesis (DBT) images.
November 14, 2021
AI reduces false positives on breast ultrasound
By Amerigo Allegretto
Monday, November 29 | 3:00 p.m.-4:00 p.m. | SSBR04-6 | Room TBAResearchers will present their findings from a clinical trial that used artificial intelligence (AI) in an effort to reduce false positives on breast ultrasound.
November 14, 2021
Combining radiomics, AI with PET/MRI helps assess nodal status
By Amerigo Allegretto
Sunday, November 28 | 10:30 a.m.-11:30 a.m. | SSNMMI01‐3 | Room TBAHere, researchers will talk about how applying radiomics and machine learning to FDG-PET/MRI can noninvasively assess nodal status and treatment planning for breast cancer patients.
November 14, 2021
Warning signals may not help radiologists read mammograms
By Amerigo Allegretto
Telling radiologists in advance that there may be suspicious areas on mammograms may not improve their performance when interpreting the images, according to research published November 9 in Radiology.
November 11, 2021
2019 02 19 18 03 9526 Mammogram Breast 400
Philips wins $15.4M grant to improve maternal care
By AuntMinnie.com staff writers
Philips Healthcare parent company Royal Philips has won a $15.4 million grant from the Bill & Melinda Gates Foundation for the improvement of maternal care in low- and middle-income countries.
November 9, 2021
2019 12 10 18 30 7564 Philips Rsna 2019 400
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