DOTmed Home MRI Oncology Ultrasound Molecular Imaging X-Ray Cardiology Health IT Business Affairs
News Home Parts & Service Operating Room CT Women's Health Proton Therapy Endoscopy HTMs Mobile Imaging
SEARCH
Aktueller Standort:
>
> This Story


Log in oder Register to rate this News Story
Forward Printable StoryPrint Comment
advertisement

 

advertisement

 

Women's Health Homepage

Is AI a match for manual interpretation of breast density? Study equates algorithm to experienced mammographer

Etta Pisano American College of Radiology names chief research officer

GE to provide training to at least 140 Kenyan radiographers Partnering with Society of Radiography in Kenya

More than 20 percent of insured mammo screenings require some out-of-pocket payment Could prevent screening for lower-income women

GE launches Invenia ABUS 2.0 in US Fifty five percent more efficient in detecting breast cancer than mammography alone

New AI approach identifies recalled but benign mammograms May reduce workload by providing more accurate recall selection

Merit Medical Systems to acquire Cianna Medical for $135 million Acquires Cianna Scout and SAVI Brachy technologies

Hologic to acquire Focal Therapeutics for $125 million Furthering its expansion into the breast conservation surgery market

Biannual MR may beat mammo for finding early stage breast cancer in high-risk patients Researchers were able to catch it before its spreading to lymph nodes

Illinois passes breast density law The latest in a growing number of states to pass such a law

A new study says that automated
breast-density assessments are
just as accurate as those conducted
by radiologists

Automated breast-density evaluation equal to radiologist assessments

by John R. Fischer , Staff Reporter
Automated breast-density evaluation is just as accurate in predicting the risk of breast cancer among women as are examinations conducted by radiologists.

That’s what researchers at the University of California, San Francisco and Mayo Clinic claim in the largest study to compare both methods in assessing patients with screening-detected malignancies and those with interval invasive cancers diagnosed in clinical exams a year after receiving a clean bill of health from a mammogram.

Story Continues Below Advertisement

RaySafe helps you avoid unnecessary radiation

RaySafe solutions are designed to minimize the need for user interaction, bringing unprecedented simplicity & usability to the X-ray room. We're committed to establishing a radiation safety culture wherever technicians & medical staff encounter radiation.



“We found that automated and clinical breast density assessment methods were equally accurate at predicting both the risk of cancer detected through mammography screening and the risk of interval invasive cancer. Automated density measures are more reproducible across radiologists and facilities,” Karla Kerlikowske, a lead author of the study and a UCSF Professor of Medicine, told HCB News. “Using automated measures will allow accurate identification of women who have dense breasts and are at high risk of an interval cancer so these women can have appropriate discussions of whether supplemental imaging is right for them.”

Dense breast tissue can increase tumor aggressiveness and obscure the presence of tumors, preventing mammograms from detecting them and creating a higher risk for women with dense breasts of incurring advanced-stage breast cancer. Those with interval cancer are especially at risk with their condition likely to remain undetected for longer periods of time.

Using Volpara software to measure volumetric breast density on raw digital images, researchers examined 6,369 women matched by age, race, state of residence, screening date and mammography machine from screening practices in San Francisco and Rochester, Minnesota.

Of the participants, 1,609 were diagnosed with cancer within a year of receiving a positive mammogram; 351 had invasive cancer; and 4,409 were in the control group.

The authors found that women with extremely dense breasts who underwent an automated BI-RADS assessment were 5.65 times more likely to be diagnosed with interval cancer and 1.43 times at higher risk of being diagnosed through screening than women with scattered fibroglandular densities, the most common density category for women at average risk.

The results of the study follow a recent number of states that have passed legislation this year, requiring patient-issued mammography reports to specify if a woman has dense breast tissue so that she and her provider may determine if additional screening options are necessary. The most recent include Utah, Washington, Florida and Wisconsin, making the total number to do so 35.

Kerlikowske says both methods predicted interval cancer more strongly than screen-detected cancer, illustrating the need to separate the two when assessing risk.

“Automated and clinical BI-RADS density is a strong predictor of interval cancer, much stronger than for screen-detected breast cancer,” she said. “Separate risk models should be developed to predict interval cancer and screen-detected breast cancer and density measures for these models can be up to five years before cancer diagnosis.”

The study was funded by the National Cancer Institute and was published in the Annals of Internal Medicine.

Women's Health Homepage


You Must Be Logged In To Post A Comment

Werben
Erhöhen Sie Ihren Bekanntheitsgrad
Auktionen + Privatverkäufe
Den besten Preis erzielen
Geräte/Geräteteile kaufen
Den günstigsten Preis finden
Daily News
Die neuesten Nachrichten lesen
Übersicht
Alle DOTmed Benutzer durchsuchen
Ethik auf DOTmed
Unseren Ethik-Standard anzeigen
Gold-Parts Verkäufer-Programm
PH-Anfragen erhalten
Gold Service Dealer-Programm
Anfragen empfangen
Gesundheitsdienstleister
Alle Gesundheitsdienstleister-Tools anzeigen
Jobs/Training
Einen Job suchen
Parts Hunter +EasyPay
Angebote für Geräteteile erhalten
Kürzlich zertifiziert
Kürzlich zertifizierte Benutzer anzeigen
Kürzlich bewertet
Kürzlich zertifizierte Benutzer anzeigen
Rental Central
Geräte billiger mieten
Geräte/Geräteteile verkaufen
Das meiste Geld erhalten
Service-Techniker Forum
Hilfe und Beratung finden
Einfache Angebots-Anfrage
Angebote für Geräte erhalten
Virtuelle Messe
Service für Geräte finden
Access and use of this site is subject to the terms and conditions of our LEGAL NOTICE & PRIVACY NOTICE
Property of and Proprietary to DOTmed.com, Inc. Copyright ©2001-2018 DOTmed.com, Inc.
ALL RIGHTS RESERVED