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Scan Times

An MGH Radiology Research Newsletter

January 2023

Happy New Year, everyone. We have a wealth of radiology research news and information to share with you this month. See below, for example, for items about the Laboratory of Medical Imaging and Computation and the CARE Research Center at Massachusetts General Hospital, which offers consulting services to help with diverse research engagement, recruitment and retention in clinical trials. And of course, we have our regular features, including research updates from Mass General's Advances in Motion news platform and select publications by department researchers from December 2022.


I would also like to draw your attention to an additional pair of items, which we've gathered under the heading "Scientists by Day...": video from the Martinos Center for Biomedical Imaging's first-ever talent show, from earlier this month, and a collection of "Holiday Jams Courtesy of the MGRI Community" (there's never a wrong time to enjoy a bit of holiday music). I'm consistently amazed at the talent we have in the department and across the hospital, talent not only in research and medicine but also in a host of other creative endeavors. Music. Dance. Photography. You name it. We are always thrilled to highlight these endeavors so please feel free to reach out to me or Gary Boas with any talents you'd like to share.


Enjoy!

Bruce Rosen, Vice-Chair for Research

In This Issue

Upcoming Lecture: Understanding Race-Based Medicine and the Impact on Radiology

Overcoming 'Prediction Uncertainty' with Explainable AI

Research Resources: Community Access, Recruitment and Engagement

Video: The Martinos Center's Got Talent!

Video: Holiday Jams Courtesy of the MGRI Community

Research Update: Special Report: Standardizing Pulse-Echo Quantitative Ultrasound Biomarkers for Liver Steatosis

Research Update: Radiology Is Underrepresented on Websites of Lung Cancer Screening Programs

Select Publications from December 2022

Upcoming Lecture: Understanding Race-Based Medicine and the Impact on Radiology

Farouk Dako, MD, MPH

University of Pennsylvania


Tuesday, January 31st from 12:15p – 1:15pm 

MGH O’Keefe Auditorium | Livestream 

 

This lecture will be held in-person in the O’Keeffe Auditorium at MGH and broadcast via Zoom.

 

Join Zoom Meeting: https://partners.zoom.us/j/84622610669?pwd=YzcwNHRSKzRhSWZEUU9JejBxQkd3dz09

 

Meeting ID: 846 2261 0669

Password: mgbgr


Dial in: 646-876-9923

Meeting ID: 846 2261 0669

Password: 473260

 

Questions? Contact Carmen Alvarez Director Strategic Programs, MGH Faculty Affairs, DEI Office, and Administrative Director, MGB RISE Center

Overcoming 'Prediction Uncertainty' with Explainable AI

Led by Synho Do, PhD, the Laboratory of Medical Imaging and Computation (LMIC) achieved something of a hat trick in 2022, publishing three papers on artificial intelligence (AI) and machine learning (ML) in the Nature family of journals.

 

In April, in Nature Communications, they reported an AI model for the automatic labeling of large medical imaging datasets based on a similarity to a previously validated explainable AI (xAI) model-derived atlas. (See also this summary on Advances in Motion.) In a paper published in Nature Scientific Reports in early December, they described an upgraded explainable AI model that can predict oxygen requirements in patients with COVID-19. And on December 29, in a Perspective published in Nature Biomedical Engineering, they tackled prediction uncertainty in machine learning for healthcare applications, exploring the sources of such uncertainty and offering a possible solution.

 

The solution they propose — implementing models with zero tolerance for either false-negatives or false-positives in the training datasets — would not only improve patient safety at Mass General and other hospitals with high-tech infrastructures. It could also help introduce new applications in healthcare settings with limited resources.

 

“The zero-error tolerance algorithms we have developed through explainable artificial intelligence (xAI) are much-needed solutions for countries and communities lacking adequate resources,” Dr. Do says. “In particular, the machine learning system can help people through cloud solutions, mobile solutions, etc., even in places where basic facilities are insufficient.”

 

To this end, Dr. Do and colleagues welcome opportunities to collaborate with experts who can help extend the project for a range of applications.

RESEARCH RESOURCES: COMMUNITY ACCESS, RECRUITMENT AND ENGAGEMENT

The Community, Access, Recruitment, and Engagement (CARE) Research Center at Mass General aims to ensure that advances in medicine work for everyone. In addition to improving research representation in clinical trials by building sustainable partnerships with the communities that Mass General serves, CARE pursues innovative research projects exploring the science of diverse research engagement, recruitment and retention in those trials.


Leveraging the knowledge its researchers have gleaned from these studies, CARE also offers consulting services to researchers at Mass General and elsewhere to help define strategies that improve engagement, recruitment, and retention to clinical trials. The services include:


  • Developing workflow from engagement to enrollment
  • Helping develop recruitment materials (e.g., flyers) and messaging
  • Recruitment-specific metrics
  • Facilitating access to marginalized / underserved communities
  • Managing recruitment directly, or in concert with CROs / SMOs


Mass General researchers can request a consultation through the Mass General Research Institute’s Division of Clinical Research. The first six hours of consultation are provided at no charge.

SCIENTISTS BY DAY...

The Martinos Center's Got Talent!


On Wednesday, January 11, the Martinos Center for Biomedical Imaging staged its first-ever talent show, aptly titled: “The Martinos Center’s Got Talent!” The event spotlighted the many fascinating talents of people from across the center, with everything from piano and accordion performances to Rubik’s cube solving and stand-up comedy. Videos from the talent show are collected on this YouTube playlist; see also the evening's closing performance below, featuring Matt Rosen, Marco Loggia and Mike Datko of the TIM Trio and special guest Jennifer Murphy.


Read more about the individual acts from the talent show here.

Holiday Jams Courtesy of the MGRI Community


The 2022 holiday season is in the books, but you can still enjoy performances of holiday songs by your colleagues in the Mass General research community. Contributors to the MGRI "Holiday Jams" playlist include Radiology researcher Michael Datko, PhD, who reimagines "Carol of the Bells" using only sounds sampled from an MRI scanner, as well as Vice-Chair of Neurology Rudy Tanzi, PhD and the Ragon Choir, made up of members of the the Ragon Institute.

RESEARCH UPDATES

Special Report: Standardizing Pulse-Echo Quantitative Ultrasound Biomarkers for Liver Steatosis


A public–private partnership facilitated by the Radiological Society of North America (RSNA) is developing standards for quantitative biomarkers for measuring liver steatosis. Anthony E. Samir, MD, MPH, director of the Center for Ultrasound Research & Translation, served as the senior author of the group's recent report in Radiology.


Radiology Is Underrepresented on Websites of Lung Cancer Screening Programs


Efren J. Flores, MD and colleagues show radiology is poorly represented on LCS program websites, reinforcing the longstanding lack of public awareness of the central roles of radiologists in health care. They also note the limited multimedia and multilingual content of these websites, which might act as barriers to LCS participation for many individuals.

SELECT PAPERS FROM DECEMBER 2022

1: Blazejewska AI, Witzel T, Andersson JLR, Wald LL, Polimeni JR. Slice- direction geometric distortion evaluation and correction with reversed slice- select gradient acquisitions. Neuroimage. 2022 Dec 1;264:119701. doi: 10.1016/j.neuroimage.2022.119701. Epub 2022 Oct 23. PMID: 36283542.



2: Calabro FJ, Montez D, Larsen B, Laymon C, Foran W, Hallquist M, Price J, Luna B. Striatal dopamine supports reward expectation and learning: A simultaneous PET/fMRI study. Neuroimage. 2022 Dec 28:119831. doi: 10.1016/j.neuroimage.2022.119831. Epub ahead of print. PMID: 36586541.



3: Chatterjee P, Vermunt L, Gordon BA, Pedrini S, Boonkamp L, Armstrong NJ, Xiong C, Singh AK, Li Y, Sohrabi HR, Taddei K, Molloy M, Benzinger TLS, Morris JC, Karch C, Berman S, Chhatwal J, Cruchaga C, Graff-Radford NR, Day GS, Farlow M, Fox N, Goate A, Hassenstab J, Lee JH, Levin J, McDade E, Mori H, Perrin R, Sanchez-Valle R, Schofield PR, Levey A, Jucker M, Masters CL, Fagan AM, Bateman RJ, Martins RN, Teunissen C; and the Dominantly Inherited Alzheimer Network. Plasma glial fibrillary acidic protein in autosomal dominant Alzheimer's disease: Associations with Aβ-PET, neurodegeneration, and cognition. Alzheimers Dement. 2022 Dec 28. doi: 10.1002/alz.12879. Epub ahead of print. PMID: 36576155.



4: Colella M, Press DZ, Laher RM, McIlduff CE, Rutkove SB, Cassarà AM, Apollonio F, Pascual-Leone A, Liberti M, Bonmassar G. A study of flex miniaturized coils for focal nerve magnetic stimulation. Med Phys. 2022 Dec 11. doi: 10.1002/mp.16148. Epub ahead of print. PMID: 36502488.



5: Daye D, Wiggins WF, Lungren MP, Alkasab T, Kottler N, Allen B, Roth CJ, Bizzo BC, Durniak K, Brink JA, Larson DB, Dreyer KJ, Langlotz CP. Implementation of Clinical Artificial Intelligence in Radiology: Who Decides and How? Radiology. 2022 Dec;305(3):555-563. doi: 10.1148/radiol.212151. Epub 2022 Aug 2. Erratum in: Radiology. 2022 Oct;305(1):E62. PMID: 35916673; PMCID: PMC9713445.



6: Faber J, Kügler D, Bahrami E, Heinz LS, Timmann D, Ernst TM, Deike-Hofmann K, Klockgether T, van de Warrenburg B, van Gaalen J, Reetz K, Romanzetti S, Oz G, Joers JM, Diedrichsen J; ESMI MRI Study Group; Reuter M. CerebNet: A fast and reliable deep-learning pipeline for detailed cerebellum sub-segmentation. Neuroimage. 2022 Dec 1;264:119703. doi: 10.1016/j.neuroimage.2022.119703. Epub 2022 Oct 27. PMID: 36349595; PMCID: PMC9771831.



7: Ganos C, Al-Fatly B, Fischer JF, Baldermann JC, Hennen C, Visser-Vandewalle V, Neudorfer C, Martino D, Li J, Bouwens T, Ackermanns L, Leentjens AFG, Pyatigorskaya N, Worbe Y, Fox MD, Kühn AA, Horn A. A neural network for tics: insights from causal brain lesions and deep brain stimulation. Brain. 2022 Dec 19;145(12):4385-4397. doi: 10.1093/brain/awac009. PMID: 35026844.



8: Gidwani M, Chang K, Patel JB, Hoebel KV, Ahmed SR, Singh P, Fuller CD, Kalpathy-Cramer J. Inconsistent Partitioning and Unproductive Feature Associations Yield Idealized Radiomic Models. Radiology. 2022 Dec 20:220715. doi: 10.1148/radiol.220715. Epub ahead of print. PMID: 36537895.



9: Hadjiiski L, Cha K, Chan HP, Drukker K, Morra L, Näppi JJ, Sahiner B, Yoshida H, Chen Q, Deserno TM, Greenspan H, Huisman H, Huo Z, Mazurchuk R, Petrick N, Regge D, Samala R, Summers RM, Suzuki K, Tourassi G, Vergara D, Armato SG 3rd. AAPM task group report 273: Recommendations on best practices for ai and machine learning for computer-aided diagnosis in medical imaging. Med Phys. 2022 Dec 24. doi: 10.1002/mp.16188. Epub ahead of print. PMID: 36565447.



10: Koop EA, Jacobs HIL. Untangling white matter fibre changes in Alzheimer's disease and small vessel disease. Brain. 2022 Dec 26:awac493. doi: 10.1093/brain/awac493. Epub ahead of print. PMID: 36567494.



11: Maffei C, Gilmore N, Snider SB, Foulkes AS, Bodien YG, Yendiki A, Edlow BL. Automated detection of axonal damage along white matter tracts in acute severe traumatic brain injury. Neuroimage Clin. 2022 Dec 13;37:103294. doi: 10.1016/j.nicl.2022.103294. Epub ahead of print. PMID: 36529035; PMCID: PMC9792957.



12: Menardi A, Ozdemir RA, Momi D, Tadayon E, Boucher P, Vallesi A, Pascual- Leone A, Shafi MM, Santarnecchi E. Effect of group-based vs individualized stimulation site selection on reliability of network-targeted TMS. Neuroimage. 2022 Dec 1;264:119714. doi: 10.1016/j.neuroimage.2022.119714. Epub 2022 Oct 26. PMID: 36309331.



13: Mikail N, Rossi A, Bengs S, Haider A, Stähli BE, Portmann A, Imperiale A, Treyer V, Meisel A, Pazhenkottil AP, Messerli M, Regitz-Zagrosek V, Kaufmann PA, Buechel RR, Gebhard C. Imaging of heart disease in women: review and case presentation. Eur J Nucl Med Mol Imaging. 2022 Dec;50(1):130-159. doi: 10.1007/s00259-022-05914-6. Epub 2022 Aug 17. PMID: 35974185; PMCID: PMC9668806.



14: Ntolkeras G, Jeong H, Zollei L, Dmytriw AA, Purvaziri A, Lev MH, Grant PE, Bonmassar G. A high-resolution pediatric female whole-body numerical model with comparison to a male model. Phys Med Biol. 2022 Dec 6. doi: 10.1088/1361-6560/aca950. Epub ahead of print. PMID: 36595234.



15: Putcha D, Katsumi Y, Brickhouse M, Flaherty R, Salat DH, Touroutoglou A, Dickerson BC. Gray to white matter signal ratio as a novel biomarker of neurodegeneration in Alzheimer's disease. Neuroimage Clin. 2022 Dec 24;37:103303. doi: 10.1016/j.nicl.2022.103303. Epub ahead of print. PMID: 36586361.



16: Rimol LM, Rise HH, Evensen KAI, Yendiki A, Løhaugen GC, Indredavik MS, Brubakk AM, Bjuland KJ, Eikenes L, Weider S, Håberg A, Skranes J. Atypical brain structure mediates reduced IQ in young adults born preterm with very low birth weight. Neuroimage. 2022 Dec 14;266:119816. doi: 10.1016/j.neuroimage.2022.119816. Epub ahead of print. PMID: 36528311.



17: Ruberg FL, Baggish AL, Hays AG, Jerosch-Herold M, Kim J, Ordovas KG, Reddy G, Shenoy C, Weinsaft JW, Woodard PK. Utilization of cardiovascular magnetic resonance (CMR) imaging for resumption of athletic activities following COVID-19 infection: an expert consensus document on behalf of the American Heart Association Council on Cardiovascular Radiology and Intervention (CVRI) Leadership and endorsed by the Society for Cardiovascular Magnetic Resonance (SCMR). J Cardiovasc Magn Reson. 2022 Dec 21;24(1):73. doi: 10.1186/s12968-022-00907-8. PMID: 36539786; PMCID: PMC9767806.



18: Ruberg FL, Baggish AL, Hays AG, Jerosch-Herold M, Kim J, Ordovas KG, Reddy G, Shenoy C, Weinsaft JW, Woodard PK. Utilization of Cardiovascular Magnetic Resonance Imaging for Resumption of Athletic Activities Following COVID-19 Infection: An Expert Consensus Document on Behalf of the American Heart Association Council on Cardiovascular Radiology and Intervention Leadership and Endorsed by the Society for Cardiovascular Magnetic Resonance. Circ Cardiovasc Imaging. 2022 Dec 21:e014106. doi: 10.1161/CIRCIMAGING.122.014106. Epub ahead of print. PMID: 36541203.



19: Saboury B, Bradshaw T, Boellaard R, Buvat I, Dutta J, Hatt M, Jha AK, Li Q, Liu C, McMeekin H, Morris MA, Pandit-Taskar N, Scott PJH, Siegel E, Sunderland JJ, Pandit-Taskar N, Wahl RL, Zuehlsdorff S, Rahmim A. Artificial Intelligence in Nuclear Medicine: Opportunities, Challenges, and Responsibilities Toward a Trustworthy Ecosystem. J Nucl Med. 2022 Dec 15:jnumed.121.263703. doi: 10.2967/jnumed.121.263703. Epub ahead of print. PMID: 36522184.



20: Taylor EN, Huang N, Lin S, Mortazavi F, Wedeen VJ, Siamwala JH, Gilbert RJ, Hamilton JA. Lipid and smooth muscle architectural pathology in the rabbit atherosclerotic vessel wall using Q-space cardiovascular magnetic resonance. J Cardiovasc Magn Reson. 2022 Dec 22;24(1):74. doi: 10.1186/s12968-022-00897-7. PMID: 36544161; PMCID: PMC9773609.



21: Wang S, Zhang F, Huang P, Hong H, Jiaerken Y, Yu X, Zhang R, Zeng Q, Zhang Y, Kikinis R, Rathi Y, Makris N, Lou M, Pasternak O, Zhang M, O'Donnell LJ. Superficial white matter microstructure affects processing speed in cerebral small vessel disease. Hum Brain Mapp. 2022 Dec 1;43(17):5310-5325. doi: 10.1002/hbm.26004. Epub 2022 Jul 13. PMID: 35822593.



22: Wichtmann BD, Fan Q, Eskandarian L, Witzel T, Attenberger UI, Pieper CC, Schad L, Rosen BR, Wald LL, Huang SY, Nummenmaa A. Linear multi-scale modeling of diffusion MRI data: A framework for characterization of oriented structures across length scales. Hum Brain Mapp. 2022 Dec 7. doi: 10.1002/hbm.26143. Epub ahead of print. PMID: 36477997.