Technology

Cardiac CT

Neurology CT

Oncology CT

Women's Health CT

Facility Management

Cardiac MRI

Neurology MRI

Oncology MRI

Women's Health MRI

Mammography

Molecular Imaging

Cardiac Ultrasound

Oncology Ultrasound

Women's Health Ultrasound

Ultrasound

Orthopedic X-Ray

X-Ray

News

All News

Blogs

Media

Around the Practice 

Between the Lines

Image IQ

Medical World News

Podcasts

Rad-View

Videos

Conferences

Conference Coverage

Conference Listing

DI Executive

Resources

CME/CE

E-books

Education

Interactive Tool Kits

Partners

Subscribe

The Mammography section is a comprehensive resource for diagnostic imaging news and expert insights on Mammography. Read more at Diagnostic Imaging.

Mammography | Clinical News & Insights | Diagnostic Imaging

Diagnostic Imaging serves as the connection to Radiology, including groundbreaking Imaging news and interviews with top Radiologists in multimedia formats.

Advertise

About

Contact Us

Editorial

Editorial Board

Do Not Sell My Personal Information 

Privacy

Terms and Conditions

Diagnostic Imaging - Radiology News, Imaging Expert Insights

Facebook

LinkedIn

YouTube

Spotlight

RSNA

Disease Spotlight: Prostate Cancer

Rad-View: Generic Contrast Agents 

Rad View: PSMA PET Imaging Recommendations

Unlock AI-Powered Imaging

Image IQ Quiz

Topics

View More

1rem

Topic

 mammography modality focus page provides information, videos, podcasts, and the latest news about industry product developments, trial results, screening guidelines, and protocol guidance that touch on the use of mammography, including 2D digital mammography, digital breast tomosynthesis, and breast ultrasound.

For breast cancer detection, Habib Rahbar, M.D., said it’s well established in the literature that vascular-based studies such as magnetic resonance imaging (MRI) and contrast-enhanced mammography (CEM) provide more optimal sensitivity in comparison to X-ray based or anatomic-based studies. During a recent 

, Dr. Rahbar noted tradeoffs between breast MRI and CEM.

“We know that CEM or contrast enhanced mammography is probably a little bit more specific than MRI (with a) little fewer false positives, but at a cost of a little bit of a sensitivity hit. That's probably due to the fact that the conspicuity of some of the lesions is not quite as dramatic on CEM,” maintained Dr. Rahbar, a professor and executive vice chair of radiology at the University of Washington School of Medicine.

“ … (For an additional breast cancer screening test), I still prefer MRI because I think it's the best tool that we have. But CEM and other contrast-based approaches have a real role too, because there could potentially be improved access and might be cheaper for us to implement in some areas as well.”

, Stamatia Destounis, M.D., noted that a standardized protocol for abbreviated breast MRI remains elusive. While Emily Conant, M.D., acknowledged studies that shows T2-weighted MRI impacts outcomes less than five percent of the time, all of the panelists emphasized the value of T2-weighted imaging for increasing the specificity of abbreviated breast MRI.

While emphasizing “remarkable” cancer detection with abbreviated breast MRI, standardized reimbursement will likely be the key driver for implementation, according to Dr. Conant, a professor emeritus with the Department of Radiology at the University of Pennsylvania Health System. However, Dr. Destounis expressed concern that evaluation of abbreviated breast MRI for CPT coding may trigger a negative re-evaluation of full breast MRI.

“The concern is that this may turn out to be kind of a hit all across the board for many of us that have breast MRI practices in an outpatient, private setting. And I can tell you it's not a money maker. We're just breaking even because we don't get the high reimbursement from that full (breast MRI) protocol. So I think that there's some concern there about what a new CPT code may look like for us,” noted Dr. Destounis, the managing partner of Elizabeth Wende Breast Care in Rochester, New York, and chair of the American College of Radiology’s Breast Imaging Commission.

(Editor’s note: For related content, see “

The Reading Room Podcast: Current and Emerging Insights on Abbreviated Breast MRI, Part 1

Possible Real-Time Adaptive Approach to Breast MRI Suggests ‘New Era’ of AI-Directed MRI

Abbreviated MRI and Contrast-Enhanced Mammography Provide Fourfold Higher Cancer Detection than Breast Ultrasound

For more insights from Dr. Destounis, Dr. Conant and Dr. Rahbar, listen below or 

In the second part of a multi-part podcast episode, Stamatia Destounis, MD, Emily Conant, MD and Habib Rahbar, MD, discuss key sequences for abbreviated breast MRI and how it stacks up to other breast cancer screening modalities. 

The Reading Room Podcast: Current and Emerging Insights on Abbreviated Breast MRI, Part 2

, Anand Narayan, M.D., and Amy Patel, M.D., offer their perspectives on the challenges faced by radiologists — who are already grappling with increasingly high volume worklists and radiologist shortages — in implementing expanded breast cancer screening as per recently updated recommendations from the 

United States Preventive Services Task Force (USPSTF)

For breast cancer risk assessments, Dr. Patel said another challenge is that not all facilities have access to high-risk breast clinics or genetics programs, limitations that often fall upon the shoulders of breast imaging centers. Dr. Patel noted that artificial intelligence (AI) and possible implementation of a risk-based model with AI may have potential for facilitating appropriate triaging of patients.

In regard to practical steps radiologists can take to help raise awareness of new recommendations to help address disparities in breast cancer screening, Dr. Patel emphasized the importance of an ongoing dialogue with primary care providers.

“Keeping the lines of communication open with your referring providers is paramount. When new recommendations come down the pike, we as a breast imaging community really need to take it upon ourselves to educate our referring providers,” noted Dr. Patel, the medical director of the Liberty Hospital Breast Care Center in Kansas City and an assistant professor at the University of Missouri-Kansas City.

New Research Shows Consequences of Delayed Diagnosis in Mammography Screening

The Reading Room Podcast: Emerging Concepts in Breast Cancer Screening and Health Equity Implications, Part 2

The Reading Room Podcast: Emerging Concepts in Breast Cancer Screening and Health Equity Implications, Part 1

For more insights from Dr. Narayan and Dr. Patel, listen below or 

In the third episode of a three-part podcast, Anand Narayan, M.D., Ph.D., and Amy Patel, M.D., discuss the challenges of expanded breast cancer screening amid a backdrop of radiologist shortages and ever-increasing volume on radiology worklists. 

The Reading Room Podcast: Emerging Concepts in Breast Cancer Screening and Health Equity Implications, Part 3

, Anand Narayan, M.D., and Amy Patel, M.D., offer their perspectives and insights on recently published research that suggested the adoption of a risk-adapted model for breast cancer screening.

multicenter study of over one million women in China

 suggested optimal starting ages for screening mammography at 43 for women of high breast cancer risk and after 55 years of age for those deemed to be at low risk of breast cancer.

Another study, published in April 2023, looked at 

data from breast cancer-specific deaths in over 400,000 women

 and suggested that optimal initiation of breast cancer screening should begin at 42 years of age in Black women with White women starting at 51, Indian women and Hispanic women starting at 57 and Asian and Pacific Islander women starting at 61.

In the podcast, Drs. Narayan and Patel discuss complex issues with adopting a risk-adapted model for breast cancer screening, key challenges with implementation and whether this model would reduce or possibly exacerbate disparities with health equity.

“I think it’s great that these authors are bringing some of this data to light and I think it could help inform some of our clinical practice, but I think we need to have caution in terms of clinical implementation and potentially fostering inequities by using race-based science,” noted Dr. Narayan, the vice-chair of equity in the Department of Radiology at the University of Wisconsin-Madison.

Should Race and Ethnicity Factor into Starting Ages for Mammography Screening?

In the second episode of a three-part podcast, Anand Narayan, M.D., Ph.D., and Amy Patel, M.D., discuss recent studies published by the Journal of the American Medical Association (JAMA) that suggested moving to more of a risk-adapted model for mammography screening. 

, Anand Narayan, M.D., and Amy Patel, M.D., offer their perspectives and insights on the possible impact of recent breast cancer screening recommendations from the 

(Editor's note: For related content, see "

The Reading Room: Emerging Concepts in Breast Cancer Screening and Health Equity Implications, Part 2

In the first episode of a three-part series, Anand Narayan, M.D., Ph.D., and Amy Patel, M.D., discuss recently issued updates to breast cancer screening recommendations from the American College of Radiology and the United States Preventive Services Task Force and potential implications for health equity.

[[{"type":"media","view_mode":"media_crop","fid":"11554","attributes":{"alt":"Stephen Rose","class":"media-image media-image-left","id":"media_crop_8501769795264","media_crop_h":"0","media_crop_image_style":"-1","media_crop_instance":"218","media_crop_rotate":"0","media_crop_scale_h":"0","media_crop_scale_w":"0","media_crop_w":"0","media_crop_x":"0","media_crop_y":"0","style":"margin: 5px; float: left;","title":" ","typeof":"foaf:Image"}}]]In February 2011, the FDA approved the first X-ray mammography system that provides 3-D images for breast cancer screening and diagnosis, 

. The 3-D tomosynthesis is being offered in fewer than two dozen locations in the U.S., and among them is Houston Breast Imaging in Texas.

In this podcast, Stephen Rose, MD, president and CEO of Houston Breast Imaging and a principal investigator of the 3-D tomosynthesis clinical trials in 2010, discusses the benefits of the new technology and what his practice learned when implementing the screening program. .

In this podcast, Stephen Rose, MD, president and CEO of Houston Breast Imaging and a principal investigator of the 3-D tomosynthesis clinical trials in 2010, discusses the benefits of the new technology and what his practice learned when implementing the screening program.

Podcast: Breast Tomosynthesis - One Practice's Experience

In this podcast, Tom Gentile, president and CEO at GE Healthcare Systems, explains that “the whole focus of imaging is moving beyond the quality of the image.” Patient care, physician productivity and reimbursement take on a renewed focus in light of healthcare reform efforts internationally, he says. Such issues will be the focus for GE Healthcare Systems at RSNA 2011.

, CT using Model Based Iterative Reconstruction (MBIR) technology to reduce dose and improve image quality.

Contrast-enhanced spectral mammography will also be a focus at RSNA 2011 for GE. Gentile talks about the speed and specificity of its newly approved product 

as well as newly mobile ultrasound technology,

, that makes ultrasound “the stethescope of the future.”

In this podcast, Tom Gentile, president and CEO at GE Healthcare Systems, explains that “the whole focus of imaging is moving beyond the quality of the image.” Patient care, physician productivity and reimbursement take on a renewed focus in light of healthcare reform efforts internationally, he says.

Podcast: GE on MBIR, Spectral Mammography, Ultrasound and Themes for RSNA 2011

[[{"type":"media","view_mode":"media_crop","fid":"1735","attributes":{"alt":"","class":"media-image","id":"media_crop_7567161365917","media_crop_h":"0","media_crop_image_style":"-1","media_crop_instance":"201","media_crop_rotate":"0","media_crop_scale_h":"0","media_crop_scale_w":"0","media_crop_w":"0","media_crop_x":"0","media_crop_y":"0","title":" ","typeof":"foaf:Image"}}]]Imagine a fast, inexpensive method for breast cancer screening. That’s some of the promise behind a new innovation from a doctoral student who has discovered a way to use ultrasound and advanced algorithms to differentiate between benign and malignant tumors.

, a student at the department of mechanical, aerospace, and nuclear engineering at Rensselaer Polytechnic Institute, researched nonlinear elasticity imaging for breast cancer diagnosis. Here Geonezen and his faculty advisor, Assad Oberai, discuss this innovation and what it could mean for breast cancer diagnosis, as well as diagnosis of other diseases.

Imagine a faster, inexpensive method for breast cancer screening. That’s some of the promise behind a new innovation from doctoral student, Sevan Goenezen, who has discovered a way to use ultrasound and advanced algorithms to differentiate between benign and malignant tumors.

Podcast: Student Innovation Holds Promise for Breast Cancer Screening

Lower proportions of extremely dense breasts and high BRCAT lifetime risk among Black women in comparison to White women may have resulted in a lower likelihood of eligibility for supplemental screening insurance coverage in Pennsylvania, according to new research.

Study: White Women 11 Times More Likely than Black Women to Be Eligible for Supplemental Breast Cancer Screening in Pennsylvania

Combining sub-second load times and AI-automated features, the PET/CT Viewer Mode and Mammography Viewer Mode may help address bottlenecks in nuclear medicine imaging and mammography workflows.

New Lantern Unveils AI-Powered PET/CT and Mammography Viewer Modes

Mammography detected 82 percent of pregnancy-associated breast cancer in a cohort of women with a high prevalence of extremely dense breasts, according to a new study.

New Study Examines Impact of Mammography in Detecting Pregnancy-Associated Breast Cancer

In a retrospective review of screening digital breast tomosynthesis (DBT) exams for over 200 women with interval breast cancers, researchers found that AI provided accurate localization of cancers in 32.6 percent of the cases.

Reducing the Interval Breast Cancer Rate of Screening DBT: Can AI Have an Impact?

State law changes expanding screening mammography coverage from biennial to annual exams and to women 40 years of age in 2019 also led to a 5 percent higher likelihood of screening for Missouri women with commercial health insurance.

Expanded Breast Cancer Screening in Missouri Led to 45 Percent Higher Likelihood of Mammography Screening for Women on Medicaid

A new study examining the impact of Missouri state law changes that expanded coverage of screening mammography revealed very striking findings.

Women with Medicaid were 45 percent more likely to have screening mammography in comparison to women with federally regulated Medicare Advantage (MA) plans

• Missouri women with Medicaid were 64 percent more likely to have utilized digital breast tomosynthesis (DBT) in comparison to similar populations in states bordering Missouri that didn’t have the expanded mammography screening coverage.

• Overall, Missouri women with Medicaid were approximately nine percent more likely to utilize screening mammography in contrast to women from the aforementioned border states.

In a video interview, lead study author Amy K. Patel, M.D., discussed the results from the recently published research in the 

Journal of the American College of Radiology.

“Essentially, our findings demonstrate if you provide coverage for screening, patients will get screened,” emphasized Dr. Patel, the medical director of the Liberty Hospital Breast Care Center in Kansas City.

Dr. Patel says future research endeavors may explore long-term clinical outcomes for the patients in the study as well as possible savings stemming from earlier screening and earlier breast cancer detection. Other studies could examine related breast cancer screening legislation passed in 2020 and 2023 in Missouri, according to Dr. Patel.

“For me, this is just part one of hopefully many analyzes coming down the pike that overall, hopefully demonstrate the benefits of insurance coverage for our patients, not just in the state of Missouri, but like I said, hopefully we can see similar findings in states across the United States,” added Dr. Patel, an associate professor radiology at the University of Missouri-Kansas City.

New Study Examines Impact of Mammography in Detecting Pregnancy-associated Breast Cancer

New Mammography Research Examines Impact of High-Resolution DBT

For more insights from Dr. Patel, watch the video below.

In a recent interview, Amy Patel, M.D., discussed new research findings that revealed a 45 percent higher likelihood of mammography screening among women with Medicaid in Missouri due to expanded mammography coverage in the state.

A Closer Look at the Impact of Expanded Mammography Coverage in Missouri: An Interview with Amy Patel, MD

Can high-resolution digital breast tomosynthesis (DBT) enhance breast cancer detection?

In a new retrospective study, recently published in 

, researchers compared the use of standard resolution DBT for a five-year period prior to incorporating high-resolution DBT (Hologic Clarity HD, Hologic) and subsequent use of high-resolution DBT for the next five years. The study authors reviewed DBT data culled from 184,006 mammograms and a total of 37,673 women.

In a recent interview, Jamie Williams, M.D., a co-author of the study, noted that high-resolution DBT led to improved breast cancer detection.

“Overall, for the standard resolution images, the cancer detection rate (CDR) in our study was 4.9 per 1000 (exams) and for those high resolution images, we saw a cancer detection rate of 5.4 per 1000 (exams), which was statistically significant after we adjusted for potentially confounding variables like patient age, breast density, high risk status and then also the readers of those mammograms,” pointed out Dr. Williams, a breast radiologist affiliated with Edith Sanford Breast Center Sioux Falls in Sioux Falls, S.D.

Dr. Williams also noted the impact of access to prior exams. For patients who had high-resolution DBT with access to a prior exam, there was a 9.39 percent recall rate (RR) in contrast to 7.8 percent for those who had standard-resolution DBT with access to a prior exam. She also noted a significant difference in the CDR between high-resolution DBT and standard-resolution DBT with access to prior exams (5.38/1000 vs. 4.22/1000).

Recalling the initial use of high-resolution DBT at the Edith Sanford Breast Center Sioux Falls facility, Dr. Williams says she and her colleagues were immediately impressed by the increased spatial resolution and details with the imaging. However, Dr. Williams emphasized that the research findings were particularly gratifying with respect to patient care.

“Studies like this, where we are doing it in a real world setting and in a clinical setting where we see the impact on real patients, are exciting for us. … Yeah, those images look beautiful, but it actually does seem to translate into better patient care, which is obviously what we're all here for,” added Dr. Williams.

Mammography Study Shows Key Findings with AI in DBT Screening

Mammography Study Compares False Positives Between AI and Radiologists in DBT Screening

For more insights from Dr. Williams, watch the video below.

In a recent interview, Jamie Williams, M.D., discussed newly published research findings revealing the impact of high-resolution digital breast tomosynthesis (DBT) on breast cancer detection and recall rates.

New research reveals that symptom-detected breast cancer is far more common among age groups that have less mammography screening (women in their 40s and those 75 years of age or older) in comparison to age groups that have more routine screening (women between the ages of 50-74).

For the retrospective study, recently published in 

, researchers reviewed data for 821 women with breast cancer (mean age of 62.5). The study authors found that 72.9 percent of women in their 40s and 70.4 percent of women > 75 years of age and older had symptom-detected breast cancer in comparison to 49.5 percent of women in their 50s and 33.3 percent of women 60 to 74 years of age.

The researchers also noted that symptom-detected breast cancer was associated with significantly higher rates of mastectomy, chemotherapy treatment and advanced presentations, noted lead study author Jean Seely, M.D., FRCPC, in a recent interview.

“The women that were symptom detected had a 6.6 times higher rate of (having) advanced cancer … We found (they were) twice as likely to be needing chemotherapy and also almost twice as likely to need a mastectomy. It just meant that they were much more advanced at diagnosis when they were symptom detected as compared to many fewer who were screen detected (having) advanced (cancer presentation) at diagnosis,” noted Dr. Seely, a professor in the Department of Radiology at Ottawa University.

Dr. Seely also pointed out that 21.7 percent of women with symptom-detected cancer died within the 6.7-year follow-up period in comparison to 14.5 percent of women with screen-detected cancers. The mortality rate was 63 percent higher for women with symptom-detected cancers, according to Dr. Seely.

“I think that really drilled home the need to really encourage early detection of breast cancer with screening and to show that the way that we detect a breast cancer has such an impact on predicting their outcome,” emphasized Dr. Seely, the head of the Breast Imaging Section in the Department of Medical Imaging at Ottawa Hospital. “We as radiologists should be tracking this. We should be reporting this, and I think it will help our referring providers understand the impact of early detection and screening.”

Mammography Study Shows Key Findings with Ai in DBT Screening

Recent Mammography Screening in Seniors Associated with 54 Percent Lower Risk of Later-Stage Diagnosis

Mammography Study Reveals Mixed Results with Standalone AI Assessment for Post-Mastectomy Surveillance

For more insights from Dr. Seely, watch the video below.

In a recent interview, Jean Seely, M.D., discussed a new study showing significantly higher rates of mastectomy, chemotherapy use and breast cancer-specific death in women with symptom-detected cancer in comparison to those with screen-detected breast cancer.

Mammography Study Reveals Over Sixfold Higher Risk of Advanced Cancer Presentation with Symptom-Detected Cancers

While there has been a fair amount of research examining the impact of artificial intelligence (AI) with two-dimensional mammography, there has been relatively limited data on the use of AI with digital breast tomosynthesis (DBT), noted Manisha Bahl, M.D., MPH, FSBI, in a recent interview.

Dr. Bahl also noted there has been little data in the AI computer-assisted diagnosis (CAD) breast imaging research with respect to what specific breast cancers are detected or not detected with AI.

“The purpose of our (new) study was to fill that gap in knowledge or understanding by providing an analysis of the types of breast cancers that are missed versus detected by a commercial AI based CAD algorithm for tomosynthesis,” explained Dr. Bahl, an associate professor of radiology at Harvard Medical School.

For the study, which was recently presented at the Society for Breast Imaging (SBI) conference, Dr. Bahl and colleagues assessed the Genius AI Detection 2.0 software (Hologic) in 5,000 patients who had DBT screening exams. They found that the AI software detected and correctly localized 90 percent of true-positive cases.

Dr. Bahl noted the AI software was more likely to detect invasive ductal carcinoma and lymph node positive carcinoma. The AI software was less likely to detect true positive cancers that presented as asymmetries on mammography as well as invasive lobular carcinoma, according to Dr. Bahl.

“These results suggest that the AI algorithm is optimized to detect clinically significant lymph node positive cancers (and) may require further training to identify invasive lobular cancers, which are known to be difficult to detect because of their unique infiltrative growth pattern,” posited Dr. Bahl, the director of the breast imaging fellowship program at Massachusetts General Hospital.

Dr. Bahl also said she was impressed by the ability of the AI software to detect 32 percent of the false negative cases in the study.

“I think those results suggest that integrating AI into our practice could potentially help decrease the false negative rate of screening tomosynthesis, which is an important metric, an important surrogate marker for long term outcomes. Those results are very promising to me and show that AI has the potential to improve our quality in addition to our efficiency,” noted Dr. Bahl.

Multicenter Mammography Study Shows Greater than 10 Percent Increase in Breast Cancer Detection with Adjunctive AI

New Mammography Studies Assess Image-Based AI Risk Models and Breast Arterial Calcification Detection

Can AI Bolster Breast Cancer Detection in DBT Screening?

For more insights from Dr. Bahl, watch the video below.

In a recent interview, Manisha Bahl, MD, discussed new research looking at the impact of AI in digital breast tomosynthesis (DBT) screening for breast cancer.

What New Research Reveals About the Impact of AI and DBT Screening: An Interview with Manisha Bahl, MD

In a recent interview, Manisha Bahl, M.D., discussed key findings from a new study on AI and digital breast tomosynthesis that she presented at the Society for Breast Imaging (SBI) conference.

The quantitative assessments provided by image-based artificial intelligence (AI) models in mammography screening may have a significant impact in ascertaining short-term breast cancer risk, according to new research presented at the European Congress of Radiology (ECR) conference.

In a study involving over 8,000 women (including 780 women with incident breast cancer), researchers found that AI-based risk models (ProFound AI Risk, iCAD) for digital mammography and digital breast tomosynthesis (DBT) predicted 40 percent and 48 percent, respectively, of future breast cancers in high-risk women.

“Another important thing is this (research was focused on) short-term risk, so this is really important to guide the choice of precision screening for women. Who needs what? How often? … How can we really use this information, this risk based on the image qualities, to drive precision screening better than we're doing it right now?,” posited lead study author Emily Conant, M.D., a professor emeritus in the Department of Radiology at the Hospital of the University of Pennsylvania.

In a recent interview, Dr. Conant also discussed another study presented at the ECR conference that examined the use of an algorithm to facilitate detection of breast arterial calcification (BAC) in mammograms. Dr. Conant and her colleagues found that the algorithm achieved a 98 percent case-level AUC for BAC detection.

“I think the fact that the mammogram shows more than just, you know, breast cancer and risk for future breast cancer, short-term risk, long-term risk, but can also help sort of triage women who are at higher cardiac risk. That's really huge,” maintained Dr. Conant. “Again, we need more studies, we need more data, we need prospective studies and all of that. But this is a rapidly expanding area that I think really adds benefit and worth, etc, to mammographic screening.”

Study: Mammography AI Leads to 29 Percent Increase in Breast Cancer Detection

Mammography Study Shows Merits of AI for Improving Breast Cancer Detection and Effectiveness of Recalls

Study Shows Link Between Breast Arterial Calcification and Significant Cardiovascular Risks

For more insights from Dr. Conant, watch the video below.

Emily Conant, MD, discusses new research, presented at the European Congress of Radiology (ECR) conference, that explores the use of image-based AI risk models and breast arterial calcification detection in mammography screening.

New Mammography Studies Assess Image-Based AI Risk Models and Breast Arterial Calcification Detection 

In a recent interview, Emily Conant, M.D., discussed findings from two studies presented at the European Congress of Radiology (ECR) conference that showed the potential impact of image-based AI risk models and breast arterial calcification detection in mammography screening.

The challenges in radiology are particularly daunting, ranging from severe workforce shortages to five straight years of cuts in the Medicare Physician Fee Schedule. In a recent interview, Amy Patel, M.D., discussed the impact of continued reimbursement cuts in closing practices and reduced access to health care for patients in rural communities.

The continuing battle for Medicare reform remains a key legislative priority for radiologists in 2025, emphasized Dr. Patel, the chair of the American College of Radiology’s Radiology Advocacy Network

In a recent interview, Amy Patel, M.D., discussed key points of emphasis for legislative advocacy in radiology, including long-term reform in Medicare reimbursement, improved coverage of breast cancer screening and mitigation of the ongoing radiology workforce shortage.

Mammography

Latest News