News | Mammography | November 04, 2020

AI Tool Improves Breast Cancer Detection on Mammography

 

Artificial intelligence (AI) can enhance the performance of radiologists in reading breast cancer screening mammograms, according to a study published in Radiology: Artificial Intelligence

Mammograms in a 51-year-old woman with invasive ductal carcinoma. The upper panels show the craniocaudal and the mediolateral oblique views. The lower panels show a close-up of the left breast area containing the lesion. The case is one of the false-negative cases included in the dataset. Accordingly, the initial screening assessment was a BI-RADS 2, meaning visible findings were judged as benign. After 1 year, the patient presented for another screening examination. This time, a focal asymmetry with associ

Mammograms in a 51-year-old woman with invasive ductal carcinoma. The upper panels show the craniocaudal and the mediolateral oblique views. The lower panels show a close-up of the left breast area containing the lesion. The case is one of the false-negative cases included in the dataset. Accordingly, the initial screening assessment was a BI-RADS 2, meaning visible findings were judged as benign. After 1 year, the patient presented for another screening examination. This time, a focal asymmetry with associated distortion within the left breast was noticed; the patient was recalled and diagnosed with a 1.5-cm mass in the upper outer quadrant of the left breast on the craniocaudal view (circle).

November 4, 2020 — Artificial intelligence (AI) can enhance the performance of radiologists in reading breast cancer screening mammograms, according to a study published in Radiology: Artificial Intelligence.

Breast cancer screening with mammography has been shown to improve prognosis and reduce mortality by detecting disease at an earlier, more treatable stage. However, many cancers are missed on screening mammography, and suspicious findings often turn out to be benign. An earlier study from Radiology found that, on average, only 10% of women recalled from screening for additional diagnostic workup based on suspicious findings are ultimately found to have cancer.

AI-based algorithms represent a promising avenue for improving the accuracy of digital mammography. Developers “train” the AI on existing images, teaching it to recognize abnormalities associated with cancer and distinguish them from benign findings. The programs can then be tested on different sets of images. AI offers not only the possibility of better cancer detection but also improved efficiency for radiologists.

For the study, researchers used MammoScreen, an AI tool that can be applied with mammography to aid in cancer detection. The AI system is designed to identify regions suspicious for breast cancer on 2D digital mammograms and assess their likelihood of malignancy. The system takes as input the complete set of four views composing a mammogram and outputs a set of image positions with a related suspicion score.

Fourteen radiologists assessed a dataset of 240 2-D digital mammography images acquired between 2013 and 2016 that included different types of abnormalities. Half of the dataset was read without AI and the other half with the help of AI during a first session and without during a second session.

Average sensitivity for cancer increased slightly when using AI support. AI also helped reduce the rate of false negatives, or findings that look normal even though cancer is present.

“The results show that MammoScreen may help to improve radiologists’ performance in breast cancer detection,” said Serena Pacilè, Ph.D., clinical research manager at Therapixel, where the software was developed.

The improved diagnostic performance of radiologists in the detection of breast cancer was achieved without prolonging their workflow. In cases with a low likelihood of malignancy, reading time decreased in the second reading session. This reduced reading time could increase overall radiologists’ efficiency, allowing them to focus their attention on the more suspicious examinations, the researchers said.

In March, the U.S. Food and Drug Administration (FDA) cleared MammoScreen for use in the clinic, where it could help reduce the workload of radiologists, according to Pacilè.

The researchers plan to explore the behavior of the AI tool on a large screening-based population and its ability to detect breast cancer earlier.

For more information: www.rsna.org

Related Content

Radiologists have recently taken on the role of activists and are tackling pressing issues in healthcare, including breast density

Getty Images

Feature | Women's Health | January 20, 2021 | By Fazila Seker, Ph.D.
Radiologists — who have long been professionals in the metaphorical and literal back-rooms of healthcare — have recen
The key trends Clinicians reviewing a COVID-19 patient's lung CT that reveals the severity of COVID-caused pneumonia. The impact of COVID on radiology was a major, over arching trend at  the 2020 Radiological Society of North America (RSNA) meeting. Getty Imagesbserved at 2020 Radiological Society of North America (RSNA) meeting all focused around COVID-19 (SARS-CoV-2) and the impact it has had on radiology. #RSNA #RSNA20 #RSNA2020

Clinicians reviewing a COVID-19 patient's lung CT that reveals the severity of COVID-caused pneumonia. The impact of COVID on radiology was a major, over arching trend at  the 2020 Radiological Society of North America (RSNA) meeting. Getty Images

Feature | RSNA | January 20, 2021 | By Melinda Taschetta-Millane and Dave Fornell
MRI Targeted biopsy is performed using cognitive fusion more easily with anatomical guidance based on the radiology report. MRI targets can be identified quickly in real-time along with micro-ultrasound targets, which may have been missed on MRI.

MRI Targeted biopsy is performed using cognitive fusion more easily with anatomical guidance based on the radiology report. MRI targets can be identified quickly in real-time along with micro-ultrasound targets, which may have been missed on MRI. Image courtesy of Exact Imaging

Feature | Prostate Cancer | January 20, 2021 | By Brian Wodlinger, Ph.D.
Historically when a patient had an elevated PSA (prostate specific antigen) test their urologist would take the next
An interview with Eric Liederman, M.D., MPH, Director of Medical Informatics for The Permanente Medical Group, in Kaiser Permanente’s Northern California Region, on the explosion of telemedicine in the COVID-19 era

Getty Images

Feature | Radiology Business | January 20, 2021 | By Melinda Taschetta-Millane
Vendor neutral archives enable a single, central location to store large volumes of radiology data, but now need to be able to house data from dozens of other departments with a wide array of data formats. This article originally ran as an introduction to the Vendor Neutral Archives comparison chart.
Feature | Vendor Neutral Archive (VNA) | January 20, 2021 | By Dave Fornell
Most radiologists and clinicians are not trained as...
According to a new research report1 on the contrast media injectors published by MarketsandMarkets, the market was estimated to be $1.3 billion in 2020 and projected to reach $1.9 billion by 2025, at a compound annual growth rate (CAGR) of 7.4 percent over 2020-2025.

The ulrich CTmotion

Feature | Contrast Media Injectors | January 20, 2021 | By Melinda Taschetta-Millane
According to a new...
Previously approved by FDA in the USA, MyLab X8 expands the reach of the MyLab Ultrasound Product Line with a fully featured premium imaging solution, integrating the latest technologies and delivering superior image quality without compromising workflow or efficiency.
News | Ultrasound Imaging | January 20, 2021
January 20, 2021 — Esaote North America announces that the...
More complex, longer interventional procedures such as structural heart interventions or this revascularization of a coronary chronic total occlusion (CTO) at Henry Ford Hospital in Detroit, requires angiography imaging systems that have improved image detail and lower radiation dose. However, purchase of new systems was put on hold by many hospitals in 2020 due to the sudden drop in elective procedures and diversion of resources due to the COVID-19. Photo by Dave Fornell.

More complex, longer interventional procedures such as structural heart interventions or this revascularization of a coronary chronic total occlusion (CTO) at Henry Ford Hospital in Detroit, requires angiography imaging systems that have improved image detail and lower radiation dose. However, purchase of new systems was put on hold by many hospitals in 2020 due to the sudden drop in elective procedures and diversion of resources due to the COVID-19. Photo by Dave Fornell.

Feature | Angiography | January 19, 2021 | By Bhvita Jani
January 19, 2021 – With the postponement of non-essential elective surgeries and medical procedures in 2020 to conser