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Dear SABI Members,

Spring is finally in the air, with a radiant sun, warm breeze, and flowers in bloom. 
That is, for some of us.

For others of us, snow is in the air, with the surge of the pandemic once again filling hospital beds. The new normal of 2021 continues to evolve. 

But there is good news.  Society of Advanced Body Imaging continues to provide a home and fellowship for those who seek it.  May we stay strong and safe as we show resiliency during these times.  Now for a few updates to address some of your burning questions:

First and foremost, where do we stand for our annual meeting?

We remain hopeful and excited to pursue an IN PERSON annual meeting for SABI in D.C. October 9-13.  Dr. Joel Platt, the President Elect, is putting together a meeting that enhances the long overdue engagement of bringing colleagues together in stimulating and meaningful ways. Certainly, safety will always be a dominant influence and we will continue to monitor the pandemic and make appropriate changes as indicated. Some institutions are starting to ease their travel restrictions to permit faculty to go to meetings.  Hopefully, others will follow suit.  One day at a time, but we hope we are all IN for D.C.!!!

What are our new year-round offerings and activities, beyond our annual event?

  • JCAT:  We are thrilled to welcome Eric Tamm as the new Editor in Chief of JCAT, who officially began his role on January 1, 2021.   A crew of top-notch associate editors is now on board to represent the different subspecialties, with enthusiastic reviewers still being recruited. The March/April issues of JCAT represent this new transition.  Many thanks to all the dedicated efforts being made by JCAT and its team, as SABI's new official journal.
  • Webinars:  Hats off to Tara Catanzano as she continues to lead the Education committee’s tremendous efforts with SABI sponsored webinars. We also had a wonderful collaboration with SABI and AAWR on mentorship in January this year, hopefully with more collaborations to follow. Check out the tab in this newsletter to see the latest offerings with easy ON DEMAND viewing at your convenience. Early career committee (ECC) now hopes to host a few webinars of their own soon. So more to come!! 
  • Book Clubs:  Inspired and hosted by Aarti Sekhar in our continued efforts of wellness and engagement at a society level, we thank Nicole Hindman (“Black Man in a White Coat”) and Scott Reeder (“Getting things Done, GTD”), who led our first two book clubs in February and April this year.  Remarkable Zoom format with break out rooms for further discussion allowed us to share our thoughts and ask questions about important topics.  Aarti has had such an overwhelming response about the organizational strategies to control our endless work demands after GTD, we may have to form a following for those who are starting to adopt the app, TODOIST.  So, stay tuned for further updates and the next book to be announced for summer!
  • Health Equity and Diversity:  SABI is pleased to soon initiate our own efforts and join the ACR’s collaborative start of the Radiology Health Equity Coalition (RHEC) to address important health care issues we face today. A call for a Diversity committee will be forthcoming to define outreach and education, but you will start to see content in our yearly activities. So let me or others on the Board know of your interests to join these significant efforts.
  • Past Presidents: Another long overdue inspiration is to formally gather together our Past Presidents, which we hope to do in person this year in D.C. Relationships are what drive our society and these individuals define the heart of it.  May these efforts lead to a special level of engagement for all involved and all those inspired by it.
  • Quantum Noise, SABI’s original band:  And finally, after the smashing debut of “Hold on I am coming” in 2020, we await to see if this incredible group can pull off another command performance.  By the way, I have not talked yet to Neil (or Bennett) Rofsky, so if anyone sees them, tell them the President wants to know what the next song is for 2021!

And so, I sign off for now as we continue to mount our steadfast and growing efforts for SABI in 2021.  This momentum would not be possible without the diligent support of the SABI Board of Directors, committee chairs and members, and of course our dedicated ACR administrative staff.  

 

Thanks to you all, from all of us.
Stay well.  May we all start to feel the sun.

Dear SABI Members,
 
The SABI Annual Meeting will take place October 9-13, 2021 at the Grand Hyatt Hotel in Washington DC.  We plan to hold an in-person meeting but continue to monitor the pandemic as the safety of our registrants remains a prime concern.
 

Saturday, October 9th, will feature a half-day symposium on Artificial Intelligence (AI), with an emphasis on the 'how to' of AI. 

Sunday, October 10th, will showcase the highly regarded jewel of SABI, the Annual Scientific Session featuring the work of young and mid-career investigators from across the country. 

The full meeting program will again host a remarkable cast of engaging speakers lecturing in abdominal, pelvis and cardiothoracic plenary sessions, along with state-of-the-art plenary and workshop talks on Innovations in CT, MR, US, PET, and AI.  The recently added "More Science" and "Three Pearls" sessions will continue to bring additional scientific abstracts to the meeting.

This year's program will now include two interactive Tumor Board Sessions.  New for this year, experienced SABI Fellows will present insight into their scientific projects in a "Vanguards of Science" session. 

Peer learning case presentations we can all learn from and a lively gameshow type competition will round out the meeting.  And of course, we are planning evening events to celebrate and catch up with old friends and to make new ones.

Please stay tuned and do not forget to put the SABI Annual Meeting on your calendar as a way to foster engagement and celebrate Advances in Body Imaging!

Take care and hope to see you in October!

 

Joel Platt, MD, FSABI
President Elect

 

 

Don't forget to submit your abstract for SABI 2021!

The Society for Advanced Body Imaging (SABI) formally SCBT-MR, welcomes the submission of original scientific abstracts related to Body Imaging for the Annual Meeting, October 9-13, 2021 SABI's Annual meeting offers a robust scientific program with premier plenary sessions dedicated to research presentation. The 2021 Abstract Submission Site is now open! The meeting offers multiple presentation formats to allow a maximum amount of quality abstracts to be invited to the meeting.

 

2021 UpdateAbstracts submitted by the Junior faculty within 10 years of training completion will now be considered for presentation at the scientific session and will be considered for awards (compared to the previous limit of 7 years).  



To submit, visit the society's abstract guidelines.

Deadline: Tuesday, May 11, 2021 at Midnight

 


HOW TO SUBMIT
1. Visit the 2021 Abstract Website
2. If not already, become a member! Free membership for In-Training Members!
3. Create an account on the submission site and begin your abstract submission.

View the abstract guidelines page to learn about presentation types, awards, and tips on submitting your abstract. 
 

Abstracts submitted to RSNA can also be submitted to SABI! Learn More

Please submit your research and join us for the Annual Meeting in October 

 

 

 

Become a Reviewer for JCAT!

Becoming a reviewer is an excellent way to help the radiology community with your expertise, as well as to help us identify articles of high quality, and to help make those articles better.

If you are interested in being a reviewer, please send a copy of your CV to Eric Tamm, M.D., Editor-in-Chief, JCAT (eprad76@hotmail.com) along with some information regarding your areas of interest/expertise.

SABI Members receive a significant discount on annual digital access to JCAT.
To subscribe click HERE.

 

Associate Editors

As of March 1, we have onboarded our new expanded staff of Associate Editors, listed below. We would like to recognize them for their dedication to the journal. They are already doing a great job in support of the journal.

  • Lea Azour, MD
  • Priya Bhosale, MD, FSABI
  • Tara Catanzano, MD, MB, Bch, BAO, FSABI
  • Avneesh Chhabra, MD
  • Linda Chu, MD
  • Hubert Chuang, MD
  • Manu Goyal, MD
  • Rajiv Gupta, MD
  • Nicole Hindman, MD, FSABI
  • Corey Jensen, MD
  • Avinash Kambadakone, MD, DNB FSABI
  • Jane Karimova, MD
  • Jingfei Ma, MD
  • Suresh Mukherji, MD
  • Prashant Nagpal, MD
  • Prabhakar Rajiah, MD
  • Maia Rauch, MD
  • Mary Salvatore, MD
  • Ty Subhawong, MD
  • Timothy Szczykutowicz, MD, PhD
  • Angela Tong, MD
  • Sudhakar Venkatesh, MD, FSABI
  • Judy Yee, MD, FSABI
  • Michael Zapadka, MD

Request for Submissions:  Topics of Interest to JCAT and its Readers

JCAT is looking for submissions in the following “hot topic” areas of interest as identified by our editors and wider Editorial Board. All submissions will be subject to blinded peer review, must score sufficiently well to be published, and will be on a “first come” basis, i.e., if a topic has already been covered sufficiently by an earlier submission(s), we will need to decline later submissions on that topic. Here are topics (not in order of preference):

  • Fast MR Imaging, such as “fast imaging of the abdomen,” etc.
  • Prostate PSMA imaging
  • Artificial intelligence- particularly tangible applications
  • Caution: we have had to reject several submissions because of overfitting, and/or too small test sets and/or concerns on lack of generalizability of results.
  • Template reporting
  • Practice management
  • Musculoskeletal: 3d imaging of joints, functional imaging of joints
  • Dual energy CT
  • Updates in percutaneous interventions
  • Quantitative assessments of the lungs
  • Treatment response in oncologic imaging, particularly novel methods
  • Radiomics
  • Again, we advise caution to avoid issues such as overfitting, etc. We have had to reject several articles because of similar issues in radiomics as in artificial intelligence.

 

Check Out These Articles by SABI Members in JCAT!
Note: The following articles are those in which the submitting author indicated at submission that one or more authors were SABI members/fellows and SABI staff confirmed active membership.


Improved CT Contrast Injection Rates through Implantable Chest Power Ports, by Corey T. Jensen, James C Fielding, RT , Nicolaus A Wagner-Bartak, MD, Sanaz Javadi, MD, Ajaykumar C Morani, MD, Dhakshinamoorthy Ganeshan, MD, Juan J Ibarra-Rovira, MD, Xinming Liu, PhD, November 2020


Preparing and Promoting Women for Leadership Positions  in Radiology and the Imaging Industry, by Neil M. Rofsky, Carolyn Meltzer, MD, Jocelyn Chertoff, MD, MHCDS, Rachel Gilbreath, Cheri Canon, MD


Primary Intra-thoracic Sarcomas: A Review of Cross Sectional Imaging and Pathology, BY Anurag Chahal, Padma Priya Manapragada, MD, Thomas S Winokur, MD, Satinder Pal Singh, MD, Sushilkumar K Sonavane, MD, November 2020


The Risk of Uterine Malignancy in a Population Being Evaluated for Uterine Fibroid Embolization, by Philip Coffin, Susan Ascher, MD, James Spies, MD, MPH, November 2020


Virtual Non-contrast Images from Portal Venous Phase spectral-detector CT Acquisitions for Adrenal Lesion Characterization, by Kai Roman Laukamp, Rivka Kessner, MD, Sandra Halliburton, PhD, David Zopfs, MD, Amit Gupta, MD, Nils Große Hokamp, MD, January 2021


Improvement of Radiation Dose Outliers Through Systematic Analysis, CT Technologist Education and Standardized System Solutions, by Olga Rachel Brook, Elisabeth Appel, M.D., Johannes Boos, Dr., Jieming Fang, MD, Da Zhang, PhD, Carol Wilcox, Andrés Camacho, MD, Sujithraj Dommaraju, MD, Alexander Brook, January 2021


Crohn's Disease Prognostication with Semiautomatic Dual-Energy CT Enterography Derived Iodine Density, by Dr. Bari Dane, Ahmad Garada, Thomas O'Donnell, Shannon Chang, Alec Megibow, March 2021


Impact of the Number of Cores on the Prostate Cancer Detection Rate in Men Undergoing In-bore MRI-guided Targeted Biopsies, by Dr. Daniel N Costa, Naveen Subramanian, BA,  Debora Z Recchimuzzi, MD,  Yin Xi, PhD,  Alberto Diaz de Leon, MD, Heng Chen, BS, Donglu Xie, MS, Kenneth Goldberg, MD, Neil M Rofsky, MD, Ivan Pedrosa, MD, PhD, March 2021

 

Accessing JCAT

Support your Society journal and get access to what you need to read! Check if you have access to JCAT through your institution. If not, ask your institution’s library to get access. If you are not part of an institution, you can subscribe HERE to JCAT at a reduced rate.  

 

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The Big Purchase

Now that AI is becoming more accessible, hearing from those who have put a program into place can provide valuable insights.


Practical considerations for implementing AI technology into clinical workflow were the focus of the closing session of the 2020 ACR Imaging Informatics Summit, “You’ve Purchased an AI Model. Now What?” The varied practice settings offered several workable strategies for implementing AI and ensuring a successful program.

Work With Vendors to Develop Implementation Solutions

Kicking off the presentations at the Summit, ACR Informatics Commission Chair Christoph Wald, MD, MBA, PhD, FACR, joked that “all of the data scientists in Boston had already been hired by MGH and Brigham.” So, the Lahey Hospital & Medical Center team — without a data scientist onsite — relied heavily on working relationships with a single AI vendor and a third-party workflow orchestrator to integrate AI algorithms into their clinical workflow. This approach aided in developing a context-sensitive widget to be deployed within the PACS viewer to alert radiologists to the presence of AI results on a given study. Wald emphasized the importance of collecting user (i.e., radiologist) feedback that is aligned with specific tools and conveyed to the internal quality assurance team as well as to the vendor.

Communicate With Radiologists and Staff

These points were further supported by the complementary presentations of Arun Krishnaraj, MD, MPH, chair of the Commission on Patient- and Family-Centered Care, and Christopher M. Gaskin, MD, FACR, associate chief medical information officer at the University of Virginia (UVA) Health System, on their experience implementing AI models at UVA. Krishnaraj discussed their approach to implementing AI by first focusing on how a particular tool is mapped onto its intended use case to determine how it should integrate into the clinical workflow.

According to Gaskin, working with UVA’s AI vendor was important to tune the implementation and presentation of results, including decisions regarding the precise timing of when the images were exposed to an algorithm and when the results are presented to the interpreting radiologist. Ultimately, UVA’s system was set up to alert radiologists to the arrival of new AI results after a report has been finalized and to facilitate integrated review of those results post hoc.

The UVA experience raised a critical point that clear communication with radiologists and staff throughout the process of developing and implementing AI into the clinical workflow is necessary to ensure success. Krishnaraj focused on the implementation of a lung CT de-noising algorithm to expand CT lung cancer screening to underserved populations in rural Virginia — a fantastic example of AI helping facilitate a public health initiative within their department. He found the biggest challenge in this project was “keeping everyone informed across multiple remote imaging sites during implementation.” Communication became even more important when an algorithm had to be taken out of the clinical workflow at UVA, due to the vendor’s decision to conform to an update to the FDA’s regulatory pathway.

Communication can also play a big role in mitigating the “expectation-reality mismatch,” described by Jayashree Kalpathy-Cramer, PhD, scientific director at Massachusetts General Hospital and Brigham and Women’s Hospital Center for Clinical Data Science. In one example, the initial excitement around AI at UVA — particularly among the trainees and younger faculty — waned over time as radiologists were “underwhelmed” by the AI algorithm’s performance in clinical workflow. According to Kalpathy-Cramer, this is most often due to data heterogeneity and poor generalization of AI algorithms introduced to new sites after initial training and validation elsewhere. Though performance issues like these are well known in data science circles, communicating them to radiologists can help manage expectations for AI in the workflow.

Payors and hospitals have different incentives: For payors, decreasing costs is the priority, while hospitals strive to improve patient throughput.

Determine the Value Proposition

While academic departments like UVA’s have a mission to support research and the technological advancement of the field, private practices are more motivated to implement AI if there is a business case for it. At the Summit, Nina E. Kottler, MD, MS, vice president of clinical operations at Radiology Partners, addressed this issue — or, as she put it, “Who is going to pay for AI?”

Different actors in the radiology ecosystem have different incentives. For radiologists, particularly in private practice, efficiency is important enough that radiology practices might be willing to pay for productivity gains. Payors and hospitals have different incentives: For payors, decreasing costs is the priority, while hospitals strive to improve patient throughput. Kottler cautioned that “quality is an expected component of our product as radiologists,” so it may be hard to justify paying for AI that only targets improvements in quality.

Start the AI Adoption

Kottler was asked where a practice should begin if it has not yet adopted AI. Harkening back to points made by Wald, Krishnaraj, and Gaskin earlier, Kottler emphasized that in selecting an AI technology, the focus should be on selecting a vendor based on their willingness and availability to work with your organization, rather than on selecting a specific algorithm. Wald reminded us that this is particularly important for practices without a data scientist on site.

In follow-up to the previous question, a conference participant asked about how practices might go about trialing an algorithm from a vendor prior to committing to a contract. Laura Coombs, PhD, ACR vice president of data science and informatics, said the ACR AI-LAB™ platform Evaluate module will be able to provide this service. This is important because algorithms are notoriously brittle in environments different from where they were trained, and practices should attempt to "try before they buy" — using their own data. The ACR Data Science Institute® has received interest from vendors in engaging in this service and the details are being worked out.

A final point to consider: Panelists repeatedly said they believe imaging AI tools — in their current form — are not “ready” for permanent storage. They do not routinely store AI results in PACS, but rather store results in a separate archive for quality assurance purposes. However, the results could indirectly become a part of the medical record if a radiologist acknowledges them in the report.

Finally, practices must recognize that algorithms can degrade over time and they will need a solution for longitudinal monitoring. The ACR AI-LAB platform’s Assess-AI module links to the ACR National Radiology Data Registry to collect longitudinal data regarding algorithm performance, as well as examine metadata, enabling practices to detect if — and how — an algorithm's performance degrades with time.

Author WALTER F. WIGGINS, MD, PHD,  CLINICAL DIRECTOR OF THE DUKE CENTER FOR AI IN RADIOLOGY

Establishing Effective Peer Learning Workflows

An ACR virtual program will help radiologists answer questions about establishing workflows for their peer learning programs.


 

For radiology departments striving to improve patient safety, transitioning from a peer review to a peer learning model may be key to creating a “just culture” of shared learning. A growing movement, the just culture workplace philosophy acknowledges that even experienced professionals make mistakes and provides an open and safe reporting system where all staff can speak up without fear of reprisal. From there, errors can be discussed as opportunities and systems, rather than people, evaluated for flaws. As some departments transition to a just culture, they find that they are in need of a different way of reviewing errors than what they have done in the past, a method which supports non-judgmental sharing of learning opportunities and supports teamwork.

“Peer learning eliminates scores attached to cases and creates a system where radiologists anonymously submit learning opportunities found in their peers’ work,” says Jennifer C. Broder, MD, vice chair for radiology quality and safety at Lahey Hospital and Medical Center in Burlington, Mass., and chair of the ACR’s newly-formed Peer Learning Committee. “We want to transform radiologists’ peer review processes into peer learning processes, which are collaborative and focused on learning.”

Identifying a Need

“Peer learning uses errors to create opportunities to learn instead of focusing on identifying and tracking errors,” says Regan City, PA-C, a healthcare quality and performance improvement specialist with Radiology Partners. “The approach requires an understanding of human performance and the importance of individual and organizational improvement, facilitating a culture of safety.”

City is a member of the Peer Learning Committee, which is hosting two webinar sessions in March, entitled “How to launch your peer learning program next week” (register for the March 18 session, happening at 12 p.m. ET, at bit.ly/PeerLearning1 , or the the March 25 session, happening at 3 p.m. ET, at bit.ly/PeerLearning2 ). The idea for the webinar — co-chaired by City and Richard E. Sharpe Jr., MD, MBA, assistant professor of radiology at Mayo Clinic Arizona — came out of a breakout group session during the ACR Annual Conference on Quality and Safety in October.

“We heard from radiologists that they want to do peer learning, but they don’t know how to start,” says City. “They want the nuts and bolts — the operationalizing of peer learning, and what it looks like from start to finish.”

According to City, when a radiologist finds what they think is a learning opportunity on a study, they have to ask questions such as, “What did we learn from that experience?” and “How will we share that learning in our practice or in the wider community of radiologists?” She notes that the March webinar will showcase concrete, specific examples of how radiology practices can make the principles of peer learning operational.

We want to transform radiologists’ peer review processes into peer learning processes, which are collaborative and focused on learning.

—Jennifer C. Broder, MD

Creating Programs in Practices

Sharpe points to a 2015 Institute of Medicine landmark report on improving diagnostic accuracy, which recommended that healthcare organizations establish a work system and culture that supports quality improvement measures in diagnostic performance. According to Sharpe, the collaborative processes that are key to peer learning programs are essential to improving patient care in complex healthcare systems — and what he hopes the March webinar will convey to ACR members. “We want to get radiologists excited to learn about how they can create and implement workflows to manage peer learning programs in their practices,” says Sharpe. “It eliminates the judgment and review aspect and allows for radiologists to be more relaxed with each other and grow together and collaborate.”

According to Sharpe, who is also a member of the Peer Learning Committee, practices need a mechanism to allow their radiologists to submit learning opportunities to a centralized location. “Before you can talk about learning together, you need to identify some cases in your practice that make for good conversations about growth opportunities,” he says. “Practices need a leader to review the submissions and create content for regular programming for the team so they can engage in these conversations.”

Sharpe notes that the March webinar will support radiologists in identifying learning opportunities in their clinical practice, identify submissions that have high learning potential, facilitate team discussions, and create an improvement strategy. “We’re also going to look at some of the technological solutions to support groups that want to do peer learning,” he says. “We want to talk about some of the gaps or challenges with current technologies or solutions that are impeding effective peer learning programs.”

According to City, the March webinar will be the first output of the new committee — and will bring actionable details of how radiologists can efficiently put together programs so conducting peer learning is not harder, but easier for them to do. “If the time is right for change, we want to facilitate radiology practices picking peer learning over the way they’re doing things now,” says City. “We all know it’s the right thing to do, but when it comes to actually doing it, the devil is in the details.”

Author NICOLE B. RACADAG, MSJ,  MANAGING EDITOR, ACR BULLETIN

 

 

 

 

New Year, New Priorities

Ongoing ACR efforts to stop radiology cuts associated with the implementation of the new CMS evaluation and management policy exemplify why members volunteer their time and resources to making the College strong and successful.


Welcome to our first Bulletin edition of 2021. While 2020 was certainly memorable and unique, we can all agree that we’d like for 2021 to be a little less dramatic.

In this month’s column, we will visit two issues. The first is the evaluation and management (E/M) revaluation. At the time of this writing, any legislative progress made during the lame duck session of Congress remains speculative. Government relations (GR) is one of the core competencies of the ACR. Our radiology community looks to the ACR for its advocacy leadership. Cynthia Moran, ACR executive vice president of government relations and health policy, deserves special recognition. We cannot thank her enough for her years of effort and expertise in establishing our GR team as one of the most respected medical professional advocacy groups in Washington. Our GR success is one reason our members have volunteered their time and invested in dues to make the ACR strong.

We have been dedicating every available resource to the E/M issue because of its wide-reaching and important impact on our practices and access to medical imaging for our patients. Remarkably, our GR team has been able to organize a coalition of more than 70 healthcare provider organizations to lobby for change in E/M revaluation implementation (learn more at acr.org/EM). This achievement cannot be overstated. It is unique in medicine to mobilize anywhere near this size of a coalition to act together for a common cause.

The ACR has also made a significant advocacy impact in Washington. Most notably, the College led an effort in the House of Representatives to gather 229 bipartisan
signatures on a letter urging House leadership to stop the impending E/M-based cuts. Encouraged by the letter’s tremendous support, the authors (Reps. Ami Bera, MD, D-Calif., and Larry Bucshon, MD, R-Ind.) introduced the legislation H.R. 8702, the Holding Providers Harmless From Medicare Cuts During COVID-19 Act of 2020, to stop the E/M policy-related cuts — while maintaining its planned increases. Whatever the outcome might be of these congressional initiatives, ACR’s efforts will continue in earnest throughout the 2021 year.

The second issue we will visit is certification in radiology. The report from the ACR Task Force on Certification in Radiology was released on Nov. 18 at acr.org/Certification-Report. The Task Force was established in January 2019 in response to grassroots concerns about board certification and maintenance of certification. The ACR has a long-standing collaborative relationship with the ABR. Our priority is, and will always be, representing our membership.

The goals developed by the Task Force were to conduct environmental surveillance of options for certification, not only in medicine but in other professions; to gather data on what our members experience and expect from certification; and to develop recommendations going forward. Important concerns specific to the ABR, both real and perceived, were investigated. This effort was concurrent with the establishment of the Continuing Board Certification: Vision for the Future Commission by the American Board of Medical Specialties. The Task Force invested a tremendous number of volunteer and staff hours toward investigating, discovering, and developing recommendations. Thank you to both Eric B. Friedberg, MD, FACR. and Madelene C. Lewis, MD, for helping to spearhead this effort as chairs.

We all recognize that professional self-regulation through certification is critical to distinguishing ourselves as professionals. Rigorous criteria are demanded by the public and underscore our differentiation as medical imagers from other non-physician providers. As our practices migrate from peer review to peer learning, having our certification processes as part of, if not embedded in, the transition is a significant promise. The proposition of creating new expectations for our specialty through certification, such as data science fundamentals, could serve to advance our community together. Ambitiously, this could be launched not only on a domestic scale but on an international one as well.

On behalf of the College, we wish you and yours a healthy, successful, and safe New Year. We hope you enjoy your first 2021 issue of the Bulletin.

Author Howard B. Fleishon, MD, MMM, FACR,  chair of the ACR BOC






 

 

2020 Board of Directors

 


PRESIDENT

Beth McFarland, MD, FSABI
SSM St. Joseph
Health Center

 

PRESIDENT-ELECT

Joel Platt, MD, FSABI
University of Michigan
Medical Center

VICE PRESIDENT
Brian Herts, MD, FSABI
Cleveland Clinic

TREASURER

Ivan Pedrosa, MD, PhD, FSABI
University of Texas SW
Medical Campus

CHIEF MEMBERSHIP
OFFICER

Desiree Morgan, MD, FSABI
University of Alabama
 at Birmingham

SECRETARY
Ihab Kamel, PhD, MD, FSABI
Johns Hopkins Bayview
Medical Center


FELLOW AT LARGE
Nicole Hindman, MD, FSABI
New York University

(non-voting)


JCAT LIAISON
Eric Tamm, MD, FSABI
MD Anderson Cancer Center

(non-voting)

IMMEDIATE PAST
 PRESIDENT

Scott Reeder, MD, PhD, FSABI
University of Wisconsin - Madison

MEMBER AT LARGE

Aarti Sekhar, MD
Emory University

(non-voting)
   

Click HERE to sign in to your SABI account. After signing in, hit “Pay Open Orders” to add your membership to your shopping cart. For help signing in, please email info@sabi.org

 

 

SABI is trying to increase the society's outreach and involve more members in society information. The communications committee hopes to use social media to create a space where members can stay up to date, and connect on society news. As well as learn from recent research and members can share and discuss relevant materials.  Follow us, and interact with the various posts. The more interaction on the social media pages, the broader the viewership.

 
    

 

 



Priya Bhosale, MD, FSABI
MD Anderson Cancer Center

Chief Editor






 



Jennifer Sheehan, CMP
Society for Advanced Body Imaging

Associate Editor