Womens Imaging: Page 46

AI shows promise as first reader in breast cancer screening
By Amerigo Allegretto
A commercial AI system achieved high marks as a first reader in double-reader settings for breast cancer screening.
January 8, 2024
Ai Woman 400 (1)
MRI helps clinicians assess neural involvement in endometriosis
By Kate Madden Yee
MRI could help clinicians assess neural involvement in endometriosis and help prevent irreversible nerve damage and chronic sensorimotor neuropathy.
January 4, 2024
Spectrum of imaging features of nerves involved in endometriosis in three women. (A) Coronal T1W contrast-enhanced MR image in a 44-year-old woman shows a thickened left sciatic nerve with increased enhancement (solid arrows) and a fibrotic mass (*). The right-side sciatic nerve is normal in appearance (dashed arrows). (B-D) Axial T1W image (without contrast enhancement) with fat saturation (B) in a 43-year-old woman shows a cystic endometriotic lesion with signal hyperintensity (arrow in B). The adjacent left iliacus muscle is asymmetrically thickened due to involvement by endometriosis (* in B). Axial T2-weighted MR image (C) at the same level as B shows T2 shading in the cystic lesion (arrow in C) and a fibrotic mass replacing the iliacus muscle (* in C). Sagittal T2-weighted MR image (D) shows the sacral nerve roots (dashed arrows in D) encased by a fibrotic endometriotic mass (* in D). (E) Axial T2-weighted MR image in a 37-year-old woman shows atrophy of the left iliopsoas (solid oval) and sartorius muscles (dashed oval), both innervated by the femoral nerve. Images and caption courtesy of the RSNA.
Standardized reporting categorizes breast cancer detection methods
By Amerigo Allegretto
A standardized system can help radiologists accurately categorize the method of detection when performing image-guided breast biopsies.
January 4, 2024
Women Cancer Patient 400 (1)
Racial, ethnic representation increases over time in NCDB
By Amerigo Allegretto
Representation of Hispanic and American Indian or Alaska Native individuals in the National Cancer Database (NCDB) has increased over time.
December 28, 2023
Hispanic Family 400
DBT surveillance screening after breast cancer treatment effective
By Amerigo Allegretto
Surveillance screening via digital breast tomosynthesis (DBT) immediately after breast cancer treatment is effective.
December 21, 2023
(A) Mammographic magnification view shows grouped calcifications in the left breast (circle). Stereotactic biopsy yielded grade 2 DCIS. Patient underwent a lumpectomy with tumor-negative surgical margins and radiation therapy. (B) Mammographic magnification view obtained four years after diagnosis shows new calcifications at the surgical site (circle). Stereotactic biopsy was performed, which revealed recurrent grade 2 DCIS. The patient then underwent a mastectomy. Image courtesy of the ARRS.
Volpara touts breast density, mammography studies
By AuntMinnie.com staff writers
Volpara Health Technologies is highlighting two peer-reviewed studies published during RSNA 2023 that featured the company's technology.
December 21, 2023
Volpara Rsna 2019 400
FES-PET better than FDG-PET in breast cancer patients
By Will Morton
In a head-to-head comparison, F-18 fluoroestradiol (FES)-PET/CT was better than standard FDG-PET/CT for the initial staging of estrogen receptor-positive breast cancer patients.
December 21, 2023
Axial PET (a) and axial fusion (b) images of F-18 FES (top) and F-18 FDG (bottom) with concordant uptake of both radiotracers in a left breast mass and left axillary node metastasis in correlation with CT imaging (c). Image courtesy of the European Journal of Hybrid Imaging.
3D elastography performs well in automated breast volume scanning
By Amerigo Allegretto
3D elastography can be applied to an automated breast volume scanner to analyze in vivo strain images.
December 19, 2023
B-mode (a–c) and strain ratio (d–f) images of a carcinoma of unknown type in the coronal (a, d), sagittal (b, e) and transverse (c, f) planes. In the strain images (d–f), the maximal principal strain ratios are superimposed on the B-mode images of the top row. The purple arrows indicate the lesion. Image courtesy of Ultrasound in Medicine & Biology. Image available for fair use under creative commons license.
Lunit bids for Volpara Health
By Erik L. Ridley
Continuing its aggressive push for global growth, South Korean AI software developer Lunit signed a deal to acquire breast and lung imaging AI software firm Volpara Health Technologies for approximately $292 million Australian dollars ($193 million U.S.).
December 14, 2023
Lunit Res
AI predicts malignancy on breast ultrasound
By Amerigo Allegretto
An AI model can accurately predict malignancy on breast ultrasound based on BI-RADS assessment.
December 14, 2023
Ultrasound Breast 400
New AI training strategies stiffen defense against adversarial attacks
By Liz Carey
Computer scientists are exploring how to protect against medical errors caused by adversarial attacks on AI machine learning diagnostic models.
December 15, 2023
An illustration of two types of adversarial attacks on breast imaging diagnosis. Adversarial noise applied in white-box attacks and adversarial samples produced by generative adversarial networks in black-box attacks can fool a deep learning diagnostic model to give wrong output, according to University of Pittsburgh researchers. The researchers have proposed two security schemes, called ARFL and LIDA, to make the models robust and resilient to adversarial attacks. (Image courtesy of Shandong Wu, PhD, Pittsburgh Center for AI Innovation in Medical Imaging)
Safety net hospital provides equitable care in breast screening
By Amerigo Allegretto
Safety net hospitals provide equitable care in breast cancer screening in terms of race and ethnicity.
December 14, 2023
Breast Mammography Tech
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