Scan Times

An MGH Radiology Research Newsletter

May 2023

It is my pleasure to announce the awarding of the Lee Family Foundation Scholarship.

Indeed, twice the pleasure, since, with the generosity of Dr. Brink and the financial wizardry of Dr. Saini, we will have TWO inaugural Scholars: Dr. Vinit Baliyan and Dr. Thomas Ng!

Dr. Baliyan’s project is entitled "Potential of Multi-Energy, Photon-Counting Detector Computed Tomography (PCD-CT) to Characterize Atherosclerotic Plaque: Assessment of Human Atherosclerotic Plaque and Comparison with Histopathology," and will include detailed studies using the portable PCT device brought to the department by Dr. Raj Gupta. Given the imminent arrival of the latest whole-body PCT device to our department, this work will lay the groundwork for advancing our ability to bring detailed plaque analysis to complement the high spatial resolution vascular mapping of this advanced technology, with important implications for understanding disease progression and treatment decision making.

Dr. Thomas Ng’s project is "Single-cell analysis of radio-theranostic tumoral kinetics / dynamics in prostate cancer with multiscale imaging." He will bring a detailed multi-modality approach to understanding one of most exciting new treatment modalities our department is offering: radionuclide theranostics. Focused on PSMA-617, he will be exploring the effects of these agents on both the tumor and the surrounding host cells, and mapping the effects of both beta and alpha particle treatments on the tumor microenvironment. These foundational studies will build a mechanistic framework for understanding when and how best to use these and future agents.

I’ll add that we received several additional very high quality applications from our junior faculty for this year, making the selection process most challenging. Each of the applicants proposed cutting-edge science at the highest level, again showing the vibrancy and depth of the basic and translational science efforts within our department. A most impressive start to what will be a history of outstanding science supported by the Lee Family Foundation.

I’m sure we will all want to thank the Lee family for their generosity in establishing this most forward-looking fellowship opportunity for our young faculty to advance their careers in science and medicine. And of course, we’ll want to congratulate Vinit and Thomas for their new positions as inaugural Lee Foundation Family Scholars!

Bruce Rosen, Vice-Chair for Research

Mass General Radiology Receives More NIH Funding than Any Other Radiology Department

The Academy for Radiology & Biomedical Imaging Research has released the results of its FY22 NIH Data Collection Project. We are proud to note that the Radiology department at Massachusetts General Hospital again tops the list, with more than twice the amount in awards as the next-best-funded department. the Academy also found that total NIH funds to academic radiology departments increased by 14.6% over FY21.

Q&A: Drs. Hiro Yoshida and Janne Näppi of the 3D Imaging Research Group

Hiro Yoshida, PhD, director of the 3D Imaging Research Group in the department, and team member Janne Näppi, PhD, received two honors at this year's SPIE Medical Imaging meeting.

First, the team received the Cum Laude Award for their "Feasibility of the automated detection of colorectal polyps in photon-counting CT colonography" (Näppi JJ, Hironaka T, Wu D, Yoshida RS, Gupta R, Tachibana R, Taguchi K, and Yoshida H.). This award acknowledges the best scientific poster presented at the Imaging Informatics Conference at the SPIE Medical Imaging 2023.

Also, Dr. Yoshida (right) has been elected to serve as the Chair of the Imaging Informatics for Healthcare, Research, and Applications Conference at SPIE Medical Imaging 2024, scheduled to be held in San Diego in February next year.

We checked in with Drs. Yoshida and Näppi both to hear more about these honors and to learn more about the work they do generally.

Can you describe the work you do in your group?

Our 3D Imaging Research group concentrates on the research and development of innovative AI technologies for three-dimensional medical imaging and their diagnostic applications. Our mission is to create AI-driven imaging technologies that enhance image-based diagnosis and integrate seamlessly into clinical diagnostic workflows. Established in 2005 at the MGH, our group has a foundation in our pioneering research on AI, machine learning, advanced image processing and visualization, and computer-aided detection (CADe), dating back to our work at the University of Chicago since 2000.

Can you describe the work presented in your poster "Feasibility of the automated detection of colorectal polyps in photon-counting CT colonography"?

Although CT colonography provides a nearly ideal screening strategy for addressing the issues and problems inherent with the other colorectal cancer screening tests, the opponents of CT colonography keep citing the ionizing radiation of the underlying CT technology as a concern. Photon-counting CT (PCCT) can be used to address that concern. Meanwhile, computer-aided detection (CADe) has been shown to be essential in implementing an effective laxative-free CT colonography examination, which is very important for improving patient adherence to colorectal screening guidelines. However, there have been no studies on the performance of AI in PCCT colonography. The most novel aspect of our approach was the integration of AI for automated polyp detection in laxative-free PCCT colonography. As far as we know, this was the first study of its kind, and our findings demonstrated the effectiveness of our AI methods on this problem.

What is the next step in this research?

The next step in our research is to extend our preliminary study, which was based on an anthropomorphic phantom, to clinical PCCT colonography cases. In addition to lower radiation, PCCT also has other advantages over conventional CT, such as higher spatial image resolution and native multi-energy imaging, which can be utilized to further enhance the performance of our AI methods. Moreover, we plan to investigate the application of our AI system to CADe to evaluate the improvements it brings to clinical practice.

Dr. Yoshida, what are you most looking forward to as Chair of the Imaging Informatics for Healthcare, Research, and Applications Conference at the SPIE Medical Imaging 2024?

As Chair of the Imaging Informatics conference, I am thrilled about the ongoing groundbreaking advancements in generative AI technologies, such as large language models like GPT-4 or innovative latent diffusion models like Stable Diffusion, as well as in their emerging applications in imaging informatics. Those game-changing models are poised to revolutionize the field of imaging informatics, as they have the potential to improve healthcare outcomes through more accurate and efficient management of the growing imaging data volumes and the development of personalized medical treatments.

In response to this trend, the Call for Papers emphasizes the applications of generative AI in managing, analyzing, and visualizing imaging informatics data across healthcare, research, and related domains. The conference will showcase cutting-edge research and clinical applications, offering a vibrant platform for experts to exchange groundbreaking ideas on enhancing big data analytics, predicting imaging outcomes, and performing diagnosis and clinical decision-making. The attendees can anticipate trailblazing presentations and discussions on this transformative technology and its applications in imaging informatics.

Q&A: Dr. Eve Valera on Intimate Partner Violence and Brain Injury

Eve Valera, PhD, an affiliated faculty member in the Athinoula A. Martinos Center for Biomedical Imaging, uses MRI to study the neural, neuropsychological, and psychological consequences of traumatic brain injuries resulting from intimate partner violence. Read the Q&A here.

Third Somatomotor Map Distinguished in Human Cerebellum

The Martinos Center's Randy L. Buckner, PhD, and colleagues have provided direct support for a third somatomotor map in the vermis of the cerebellum by using intensive, repeated functional MRI scanning of individuals performing movements across multiple body parts. Read more here.

Select Papers from March & April 2023

1: Adams LC, Truhn D, Busch F, Kader A, Niehues SM, Makowski MR, Bressem KK. Leveraging GPT-4 for Post Hoc Transformation of Free-Text Radiology Reports into Structured Reporting: A Multilingual Feasibility Study. Radiology. 2023 Apr 4:230725. doi: 10.1148/radiol.230725. Epub ahead of print. PMID: 37014240.

2: Bahl M. The Quest to Reduce the Use of Gadolinium-based Contrast Agents: AI May Provide a Solution. Radiology. 2023 May;307(3):e230325. doi: 10.1148/radiol.230325. Epub 2023 Mar 21. PMID: 36943082; PMCID: PMC10140636.

3: Bonkhoff AK, Schirmer MD, Bretzner M, Hong S, Regenhardt RW, Donahue KL, Nardin MJ, Dalca AV, Giese AK, Etherton MR, Hancock BL, Mocking SJT, McIntosh EC, Attia J, Cole JW, Donatti A, Griessenauer CJ, Heitsch L, Holmegaard L, Jood K, Jimenez-Conde J, Kittner SJ, Lemmens R, Levi CR, McDonough CW, Meschia JF, Phuah CL, Ropele S, Rosand J, Roquer J, Rundek T, Sacco RL, Schmidt R, Sharma P, Slowik A, Sousa A, Stanne TM, Strbian D, Tatlisumak T, Thijs V, Vagal A, Wasselius J, Woo D, Zand R, McArdle PF, Worrall BB, Jern C, Lindgren AG, Maguire J, Wu O, Rost NS; MRI-GENIE and GISCOME Investigators and the International Stroke Genetics Consortium. The relevance of rich club regions for functional outcome post-stroke is enhanced in women. Hum Brain Mapp. 2023 Mar;44(4):1579-1592. doi: 10.1002/hbm.26159. Epub 2022 Nov 28. PMID: 36440953; PMCID: PMC9921242.

4: Calixto C, Machado-Rivas F, Karimi D, Cortes-Albornoz MC, Acosta-Buitrago LM, Gallo-Bernal S, Afacan O, Warfield SK, Gholipour A, Jaimes C. Detailed anatomic segmentations of a fetal brain diffusion tensor imaging atlas between 23 and 30 weeks of gestation. Hum Brain Mapp. 2023 Mar;44(4):1593-1602. doi: 10.1002/hbm.26160. Epub 2022 Nov 24. PMID: 36421003; PMCID: PMC9921217.

5: Cerri S, Greve DN, Hoopes A, Lundell H, Siebner HR, Mühlau M, Van Leemput K. An open-source tool for longitudinal whole-brain and white matter lesion segmentation. Neuroimage Clin. 2023 Mar 2;38:103354. doi: 10.1016/j.nicl.2023.103354. Epub ahead of print. PMID: 36907041; PMCID: PMC10024238.

6: Cetin-Karayumak S, Lyall AE, Di Biase MA, Seitz-Holland J, Zhang F, Kelly S, Elad D, Pearlson G, Tamminga CA, Sweeney JA, Clementz BA, Schretlen D, Stegmayer K, Walther S, Lee J, Crow T, James A, Voineskos A, Buchanan RW, Szeszko PR, Malhotra AK, Keshavan M, Shenton ME, Rathi Y, Pasternak O, Kubicki M. Characterization of the extracellular free water signal in schizophrenia using multi-site diffusion MRI harmonization. Mol Psychiatry. 2023 Apr 24. doi: 10.1038/s41380-023-02068-1. Epub ahead of print. PMID: 37095352.

7: Chemli Y, Tétrault MA, Marin T, Normandin MD, Bloch I, El Fakhri G, Ouyang J, Petibon Y. Super-resolution in brain positron emission tomography using a real- time motion capture system. Neuroimage. 2023 May 15;272:120056. doi: 10.1016/j.neuroimage.2023.120056. Epub 2023 Mar 26. PMID: 36977452; PMCID: PMC10122782.

8: Chen J, Ooi LQR, Tan TWK, Zhang S, Li J, Asplund CL, Eickhoff SB, Bzdok D, Holmes AJ, Yeo BTT. Relationship Between Prediction Accuracy and Feature Importance Reliability: an Empirical and Theoretical Study. Neuroimage. 2023 Apr 21:120115. doi: 10.1016/j.neuroimage.2023.120115. Epub ahead of print. PMID: 37088322.

9: 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. 2023 Mar;50(3):1779-1792. doi: 10.1002/mp.16148. Epub 2022 Dec 29. PMID: 36502488; PMCID: PMC10033376.

10: Collins MA, Ji JL, Chung Y, Lympus CA, Afriyie-Agyemang Y, Addington JM, Goodyear BG, Bearden CE, Cadenhead KS, Mirzakhanian H, Tsuang MT, Cornblatt BA, Carrión RE, Keshavan M, Stone WS, Mathalon DH, Perkins DO, Walker EF, Woods SW, Powers AR, Anticevic A, Cannon TD. Accelerated cortical thinning precedes and predicts conversion to psychosis: The NAPLS3 longitudinal study of youth at clinical high-risk. Mol Psychiatry. 2023 Mar;28(3):1182-1189. doi: 10.1038/s41380-022-01870-7. Epub 2022 Nov 25. PMID: 36434057; PMCID: PMC10005940.

11: Coughlan GT, Betthauser TJ, Boyle R, Koscik RL, Klinger HM, Chibnik LB, Jonaitis EM, Yau WW, Wenzel A, Christian BT, Gleason CE, Saelzler UG, Properzi MJ, Schultz AP, Hanseeuw BJ, Manson JE, Rentz DM, Johnson KA, Sperling R, Johnson SC, Buckley RF. Association of Age at Menopause and Hormone Therapy Use With Tau and β-Amyloid Positron Emission Tomography. JAMA Neurol. 2023 Apr 3:e230455. doi: 10.1001/jamaneurol.2023.0455. Epub ahead of print. PMID: 37010830; PMCID: PMC10071399.

12: Esfahani SA, De Aguiar Ferreira C, Summer P, Mahmood U, Heidari P. Addition of Peptide Receptor Radiotherapy to Immune Checkpoint Inhibition Therapy Improves Outcomes in Neuroendocrine Tumors. J Nucl Med. 2023 Apr 6:jnumed.123.265391. doi: 10.2967/jnumed.123.265391. Epub ahead of print. PMID: 37024303.

13: Freeze WM, Van Veluw SJ, Jansen WJ, Bennett DA, Jacobs HIL. Locus coeruleus pathology is associated with cerebral microangiopathy at autopsy. Alzheimers Dement. 2023 Apr 24. doi: 10.1002/alz.13096. Epub ahead of print. PMID: 37095709.

14: 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. 2023 Apr;307(1):e220715. doi: 10.1148/radiol.220715. Epub 2022 Dec 20. PMID: 36537895; PMCID: PMC10068883.

15: Groenewold NA, Bas-Hoogendam JM, Amod AR, Laansma MA, Van Velzen LS, Aghajani M, Hilbert K, Oh H, Salas R, Jackowski AP, Pan PM, Salum GA, Blair JR, Blair KS, Hirsch J, Pantazatos SP, Schneier FR, Talati A, Roelofs K, Volman I, Blanco-Hinojo L, Cardoner N, Pujol J, Beesdo-Baum K, Ching CRK, Thomopoulos SI, Jansen A, Kircher T, Krug A, Nenadić I, Stein F, Dannlowski U, Grotegerd D, Lemke H, Meinert S, Winter A, Erb M, Kreifelts B, Gong Q, Lui S, Zhu F, Mwangi B, Soares JC, Wu MJ, Bayram A, Canli M, Tükel R, Westenberg PM, Heeren A, Cremers HR, Hofmann D, Straube T, Doruyter AGG, Lochner C, Peterburs J, Van Tol MJ, Gur RE, Kaczkurkin AN, Larsen B, Satterthwaite TD, Filippi CA, Gold AL, Harrewijn A, Zugman A, Bülow R, Grabe HJ, Völzke H, Wittfeld K, Böhnlein J, Dohm K, Kugel H, Schrammen E, Zwanzger P, Leehr EJ, Sindermann L, Ball TM, Fonzo GA, Paulus MP, Simmons A, Stein MB, Klumpp H, Phan KL, Furmark T, Månsson KNT, Manzouri A, Avery SN, Blackford JU, Clauss JA, Feola B, Harper JC, Sylvester CM, Lueken U, Veltman DJ, Winkler AM, Jahanshad N, Pine DS, Thompson PM, Stein DJ, Van der Wee NJA. Volume of subcortical brain regions in social anxiety disorder: mega-analytic results from 37 samples in the ENIGMA-Anxiety Working Group. Mol Psychiatry. 2023 Mar;28(3):1079-1089. doi: 10.1038/s41380-022-01933-9. Epub 2023 Jan 19. PMID: 36653677.

16: Guehl NJ, Wooten DW, Yokell DL, Moon SH, Dhaynaut M, Katz S, Moody KA, Gharagouzloo C, Kas A, Johnson KA, Fakhri GE, Normandin MD. Correction to: Evaluation of pharmacokinetic modeling strategies for in-vivo quantification of tau with the radiotracer [18F]MK6240 in human subjects. Eur J Nucl Med Mol Imaging. 2023 Mar;50(4):1273. doi: 10.1007/s00259-022-06102-2. Erratum for: Eur J Nucl Med Mol Imaging. 2019 Sep;46(10):2099-2111. PMID: 36604327.

17: Guehl NJ, Dhaynaut M, Hanseeuw BJ, Moon SH, Lois C, Thibault E, Fu JF, Price JC, Johnson KA, El Fakhri G, Normandin MD. Measurement of Cerebral Perfusion Indices from the Early Phase of [18F]MK6240 Dynamic Tau PET Imaging. J Nucl Med. 2023 Mar 30:jnumed.122.265072. doi: 10.2967/jnumed.122.265072. Epub ahead of print. PMID: 36997330.

18: Haver HL, Ambinder EB, Bahl M, Oluyemi ET, Jeudy J, Yi PH. Appropriateness of Breast Cancer Prevention and Screening Recommendations Provided by ChatGPT. Radiology. 2023 Apr 4:230424. doi: 10.1148/radiol.230424. Epub ahead of print. PMID: 37014239.

19: Hossbach J, Splitthoff DN, Cauley S, Clifford B, Polak D, Lo WC, Meyer H, Maier A. Deep learning-based motion quantification from k-space for fast model- based magnetic resonance imaging motion correction. Med Phys. 2023 Apr;50(4):2148-2161. doi: 10.1002/mp.16119. Epub 2022 Dec 13. PMID: 36433748.

20: Iglesias JE, Schleicher R, Laguna S, Billot B, Schaefer P, McKaig B, Goldstein JN, Sheth KN, Rosen MS, Kimberly WT. Quantitative Brain Morphometry of Portable Low-Field-Strength MRI Using Super-Resolution Machine Learning. Radiology. 2023 Mar;306(3):e220522. doi: 10.1148/radiol.220522. Epub 2022 Nov 8. PMID: 36346311; PMCID: PMC9968773.

21: Ioakeim-Ioannidou M, Giantsoudi D, Niemierko A, Sethi R, Kim DW, Yock TI, Tarbell NJ, Simeone FJ, MacDonald SM. Effects of Proton Craniospinal Radiation on Vertebral Body Growth Retardation in Children. Int J Radiat Oncol Biol Phys. 2023 Mar 1;115(3):572-580. doi: 10.1016/j.ijrobp.2022.08.055. Epub 2022 Aug 31. PMID: 36055432.

22: Jose O, Stoeckl EM, Miles RC, Mango VL, Reid NJ, Wagner ASB, Weissman IA, Flores EJ, Morla A, Narayan AK. The Impact of Extreme Neighborhood Socioeconomic Deprivation on Access to American College of Radiology-accredited Advanced Imaging Facilities. Radiology. 2023 May;307(3):e222182. doi: 10.1148/radiol.222182. Epub 2023 Mar 14. PMID: 36916894; PMCID: PMC10140634.

23: Joutsa J, Lipsman N, Horn A, Cosgrove GR, Fox MD. The return of the lesion for localization and therapy. Brain. 2023 Apr 11:awad123. doi: 10.1093/brain/awad123. Epub ahead of print. PMID: 37040563.

24: Jung C, Kim J, Choi S, Seo YK, Park KS, Choi Y, Choi SM, Kwon O, Song Y, Kim J, Cho G, Cheong C, Napadow V, Jung IC, Kim H. Attenuated facial movement in depressed women is associated with symptom severity, and nucleus accumbens functional connectivity. Neuroimage Clin. 2023 Mar 16;38:103380. doi: 10.1016/j.nicl.2023.103380. Epub ahead of print. PMID: 36989853; PMCID: PMC10074984.

25: Keppel C, Weisenberger A, Atanasijevic T, Wang S, Zubal G, Buchsbaum J, Brechbiel M, Capala J, Escorcia F, Obcemea C, Boehnlein A, Heyes G, Bourne P, Cherry S, Colby E, El Fakhri G, Gillo J, Gropler R, Gueye P, Tourassi G, Peggs S, Woody C. The United States Department of Energy and National Institutes of Health Collaboration: Medical Care Advances via Discovery in Physical Sciences. Med Phys. 2023 Mar;50(3):e53-e61. doi: 10.1002/mp.16252. Epub 2023 Feb 22. PMID: 36705550; PMCID: PMC10033422.

26: Koemans EA, van Walderveen MAA, Voigt S, Rasing I, van Harten TW, J A van Os H, van der Weerd N, Terwindt GM, van Osch MJP, van Veluw SJ, Freeze WM, Wermer MJH. Subarachnoid CSF hyperintensities at 7 tesla FLAIR MRI: A novel marker in cerebral amyloid angiopathy. Neuroimage Clin. 2023 Mar 25;38:103386. doi: 10.1016/j.nicl.2023.103386. Epub ahead of print. PMID: 36989852; PMCID: PMC10074985.

27: Kong R, Tan YR, Wulan N, Ooi LQR, Farahibozorg SR, Harrison S, Bijsterbosch JD, Bernhardt BC, Eickhoff S, Thomas Yeo BT. Comparison between gradients and parcellations for functional connectivity prediction of behavior. Neuroimage. 2023 Jun;273:120044. doi: 10.1016/j.neuroimage.2023.120044. Epub 2023 Mar 20. PMID: 36940760.

28: Krock E, Morado-Urbina CE, Menezes J, Hunt MA, Sandström A, Kadetoff D, Tour J, Verma V, Kultima K, Haglund L, Meloto CB, Diatchenko L, Kosek E, Svensson CI. Fibromyalgia patients with elevated levels of anti-satellite glia cell immunoglobulin G antibodies present with more severe symptoms. Pain. 2023 Mar 22. doi: 10.1097/j.pain.0000000000002881. Epub ahead of print. PMID: 36943275.

29: Lee H, Cheon BW, Feld JW, Grogg K, Perl J, Ramos-Méndez JA, Faddegon B, Min CH, Paganetti H, Schuemann J. TOPAS-imaging: extensions to the TOPAS simulation toolkit for medical imaging systems. Phys Med Biol. 2023 Apr 3;68(8). doi: 10.1088/1361-6560/acc565. PMID: 36930985.

30: Lee SI, Kang SK. MRI Improves the Characterization of Incidental Adnexal Masses Detected at Sonography. Radiology. 2023 Apr;307(1):e222866. doi: 10.1148/radiol.222866. Epub 2022 Nov 22. PMID: 36413134; PMCID: PMC10068880.

31: Levitt J, Yang Z, Williams SD, Lütschg Espinosa SE, Garcia-Casal A, Lewis LD. EEG-LLAMAS: A low-latency neurofeedback platform for artifact reduction in EEG-fMRI. Neuroimage. 2023 Jun;273:120092. doi: 10.1016/j.neuroimage.2023.120092. Epub 2023 Apr 5. PMID: 37028736.

32: Liu X, Marin T, Amal T, Woo J, Fakhri GE, Ouyang J. Posterior estimation using deep learning: a simulation study of compartmental modeling in dynamic positron emission tomography. Med Phys. 2023 Mar;50(3):1539-1548. doi: 10.1002/mp.16078. Epub 2022 Nov 18. PMID: 36331429; PMCID: PMC10087283.

33: Li J, Liu Y, Wisnowski JL, Leahy RM. Identification of overlapping and interacting networks reveals intrinsic spatiotemporal organization of the human brain. Neuroimage. 2023 Apr 15;270:119944. doi: 10.1016/j.neuroimage.2023.119944. Epub 2023 Feb 19. PMID: 36801371; PMCID: PMC10092006.

34: Makani P, Koops EA, Pyott SJ, van Dijk P, Thioux M. Hyperacusis is associated with smaller gray matter volumes in the supplementary motor area. Neuroimage Clin. 2023 Apr 29;38:103425. doi: 10.1016/j.nicl.2023.103425. Epub ahead of print. PMID: 37137255.

35: Ma T, Wang AQ, Dalca AV, Sabuncu MR. Hyper-convolutions via implicit kernels for medical image analysis. Med Image Anal. 2023 May;86:102796. doi: 10.1016/j.media.2023.102796. Epub 2023 Mar 16. PMID: 36948069.

36: Murphy MC, Little BP. Chronic Pulmonary Manifestations of COVID-19 Infection: Imaging Evaluation. Radiology. 2023 Apr;307(2):e222379. doi: 10.1148/radiol.222379. Epub 2023 Jan 24. PMID: 36692398; PMCID: PMC9888022.

37: Nagata Y, Bertrand PB, Baliyan V, Kochav J, Kagan RD, Ujka K, Alfraidi H, van Kampen A, Morningstar JE, Dal-Bianco JP, Melnitchouk S, Holmvang G, Borger MA, Moore R, Hua L, Sultana R, Calle PV, Yum B, Guerrero JL, Neilan TG, Picard MH, Kim J, Delling FN, Hung J, Norris RA, Weinsaft JW, Levine RA. Abnormal Mechanics Relate to Myocardial Fibrosis and Ventricular Arrhythmias in Patients With Mitral Valve Prolapse. Circ Cardiovasc Imaging. 2023 Apr;16(4):e014963. doi: 10.1161/CIRCIMAGING.122.014963. Epub 2023 Apr 18. Erratum in: Lancellotti and Yun Yun. PMID: 37071717; PMCID: PMC10108844.