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62 citation(s) found for "Sui, Yi".

Risk of Recurrent Ischemic Stroke in Patients With a Cardiac Thrombus
Nio, Shan Sui , Beemsterboer, Chiel F.P. , Goedman, Aletta F. , Planken, R. Nils , Coutinho, Jonathan M. , Rinkel, Leon A. , Beemsterboer, Chiel F P , Planken, R Nils , Coutinho, Jonathan M

Mayo Clinic

Neurology Open Access | August 1, 2025 | Volume: 1 | Issue: 3 | Pages: No page available

10.1212/wn9.0000000000000030 Get It

Left Atrial Diverticula Detected on Cardiac CT in Patients With Acute Ischemic Stroke: A Substudy of Mind the Heart
Nio, Shan Sui , Rinkel, Leon A. , Cramer, Olivia N. , Özata, Z. Beyda , Beemsterboer, Chiel F.P. , Guglielmi, Valeria , Bouma, Berto J. , Boekholdt, S. Matthijs , Lobé, N. H. J. , Beenen, Ludo F.M. , Roos, Yvo B.W.E.M. , Randen, Adriënne van , Lobé, Nick H J , Arrarte Terreros, Nerea , Marquering, Henk A , Majoie, Charles B L M , Roos, Yvo B W E M , van Randen, Adrienne , Planken, R Nils , Coutinho, Jonathan M , Beemsterboer, Chiel F P , Bouma, Berto J , Boekholdt, S Matthijs , Marquering, Henk A. , Majoie, Charles B.L.M. , Planken, R. Nils

Mayo Clinic

Stroke | July 7, 2025 | Volume: 56 | Issue: 9 | Pages: 2561-2570

10.1161/strokeaha.125.051199 | PMID 40620236 Get It

BACKGROUND: Left atrial (LA) diverticula are focal outpouchings of the LA wall and may increase ischemic stroke risk. We studied recurrent ischemic stroke in patients with acute ischemic stroke and LA diverticula detected on cardiac computed tomography. METHODS: We used data from a prospective cohort study of patients with acute ischemic stroke undergoing cardiac computed tomography acquired during the acute stroke imaging protocol. Cardiac radiologists systematically assessed the presence and characteristics of LA diverticula, defined as LA wall outpouchings with a length/ostium width ratio >0.5 and length ≥3 mm. We compared recurrent ischemic stroke and functional outcome (modified Rankin Scale) after 2 years between patients with and without LA diverticula, adjusting for age, history of atrial fibrillation and ischemic stroke, and anticoagulation use. RESULTS: Of 447 included patients (median age 72 [interquartile range (IQR), 62–81], 59% male), 126 (28%) had LA diverticula: median length 6 mm (IQR, 4–8), width 5 mm (IQR, 4–7), and volume 113 mm 3 (IQR, 52–254). There was no statistically significant difference in age (median 70 [IQR, 58–79] versus 73 [IQR, 63–81]; P =0.06), sex (64% versus 57% male; P =0.28), history of ischemic stroke (21% versus 17%; P =0.48), atrial fibrillation (11% versus 19%; P =0.09), or baseline National Institutes of Health Stroke Scale score (median 5 [IQR, 2–14] versus 5 [IQR, 3–14]; P =0.54) between patients with and without LA diverticula, respectively. Recurrent ischemic stroke was more common in patients with LA diverticula (18/124 [15%] versus 24/314 [8%], adjusted hazard ratio, 2.01 [95% CI, 1.08–3.77]), and recurrence risk increased with diverticulum volume (adjusted hazard ratio, 1.02 [95% CI, 1.01–1.03] per 10 mm 3 ). Functional outcome was better in patients with diverticula (median modified Rankin Scale score of 2 [IQR, 1–3] versus 3 [IQR, 1–6], adjusted common odds ratio, 0.62, [95% CI, 0.42–0.92]). CONCLUSIONS: LA diverticula are a common finding on cardiac computed tomography in patients with acute ischemic stroke, and the risk of recurrent ischemic stroke was increased in these patients, particularly in those with larger diverticula. Atrial diverticula may be a risk factor for recurrent ischemic stroke. REGISTRATION: URL: https://www.onderzoekmetmensen.nl/nl/trial/50352 ; Unique identifier: NL6413901818.
Detection of transient tissue displacement using wavelet MR elastography: Phantom validation and in vivo human brain repeatability study
Le, Yuan , Shan, Xiang , Glaser, Kevin J. , Rossman, Phillip J. , Sui, Yi , Manduca, Armando , Ehman, Richard L. , Yin, Ziying , Sui, Yi , Manduca, A , Ehman, Richard , Yin, Ziying , Le, Yuan , Chen, Jun , Huston, John

Mayo Clinic

Magnetic Resonance in Medicine | June 19, 2025 | Volume: 94 | Issue: 5 | Pages: 1997-2009

10.1002/mrm.30612 | PMID 40534286 Get It

AbstractPurposeWhile standard MR elastography (MRE) uses harmonic mechanical waves, there are some applications in which imaging and analysis of transient mechanical motion are of interest. Wavelet MRE has been developed for detecting broadband motion from transient excitation. The goal of this study was to evaluate the accuracy and efficiency of wavelet MRE for transient displacement detection in brain MRE applications.MethodsTransient motion was induced in a gel phantom, while MRE images were acquired using bipolar motion‐encoding gradient (MEG) at multiple frequencies (20–200 Hz). Displacements were estimated using (1) combinations of multiple MEGs forming the wavelet MRE and (2) deconvolution from a single MEG. These estimated displacements were used to calculate the MRE phase for each MEG. Correlation (r2) between the calculated and acquired phases was evaluated.Three healthy volunteers were scanned twice in a clinical scanner using wavelet MRE with an occipital impact. Time‐resolved brain translation, rotation, and maximal principal strain were calculated. Repeatability was assessed both qualitatively and through Pearson correlation.ResultsWavelet MRE outperformed standard MRE in displacement estimation, showing higher correlations between calculated and acquired phase, even with fewer phase offsets. In the volunteer study, consistent temporal motion dynamics and spatial maximal principal strain distributions across repeated scans demonstrated the repeatability of wavelet MRE.ConclusionThis study validated the accuracy and efficiency of wavelet MRE for broadband motion detection and demonstrated its feasibility and repeatability in vivo. This technique shows promise for advancing our understanding of the injury risks and mechanisms associated with sports‐related head trauma.
Assessment and classification of sex cord‐stromal tumours of the testis: recommendations from the testicular sex cord‐stromal tumour ( TESST ) group, an Expert Panel of the Genitourinary Pathology Society
Acosta, Andrés , Compérat, Éva , Cornejo, Kristine M. , Gupta, Sounak , Cheville, John C. , Idrees, Muhammad T. , Raspollini, Maria Rosaria , Reyes‐Múgica, Miguel , Tickoo, Satish K. , Ulbright, Thomas M. , Sholl, Lynette M. , Gonzalez‐Peramato, Pilar, Acosta, Andrés M , Comperat, Eva , Raspollini, Maria Rosaria , Tsuzuki, Toyonori , Williamson, Sean R , Siegmund, Stephanie , Sholl, Lynette , Berney, Daniel M , Reyes-Mugica, Miguel , Colecchia, Maurizio , Gill, Anthony J. , Kao, Chia‐Sui , Maclean, Fiona M. , Matoso, Andres , Michalova, Kvetoslava , Tsuzuki, Toyonori , Williamson, Sean R. , Berney, Daniel M.

Mayo Clinic

Histopathology | June 18, 2025 | Volume: 87 | Issue: 5 | Pages: 660-676

10.1111/his.15482 | PMID 40528632 Get It

Aims Testicular sex cord‐stromal tumours (TSCSTs) are relatively rare, accounting for ~5% of all testicular neoplasms. They were historically classified into Leydig cell tumour, Sertoli cell tumour, granulosa cell tumour, and unclassified sex cord‐stromal tumour. More recently, classification was expanded to incorporate additional histologic types, including some associated with inherited cancer predisposition syndromes. However, the classification of TSCSTs still relies entirely on morphology, with some tumour types being defined based on their resemblance to ovarian counterparts. In recent years, molecular studies have identified drivers and genomic alterations associated with aggressive behaviour and progression; however, these findings have not yet impacted classification and management. Methods and results Under sponsorship of the International Society of Urological Pathology (ISUP) and the Genitourinary Pathology Society (GUPS), a group of genitourinary pathologists was assembled in 2023 with the aim of assessing how to use these new data to improve the classification and management of TSCSTs. Conclusions This paper summarizes the recommendations derived from the consensus activities and the first meeting of the te sticular s ex cord‐ s tromal t umour (TESST) group (held at Johns Hopkins Hospital, Baltimore, USA, 3/23/2024).
Characterization of Factors Associated With Death in Deceased Patients With Mitochondrial Disorders
Ivaniuk, Alina , Anselm, Irina , Bowen, Aaron B. , Cohen, Bruce H. , Eminoğlu, Fatma Tuba , Estrella, Jane , Gallagher, Renata C. , Gannon, Jennifer , Gorman, Gráinne S. , Greene, Carol L. , Haas, Richard , Kapoor, Seema , Karaa, Amel , Koenig, Mary Kay , Kornblum, Cornelia , Lichter‐Konecki, Uta , Lopriore, Piervito , McFarland, Robert , Moe, Aye , Ng, Yi Shiau , Saneto, Russell P. , Scaglia, Fernando , Tarnopolsky, Mark A. , Walker, Melissa , Group, as the Hong Kong Mitochondrial Diseases Interest, Fung, Cheuk Wing , Wong, Tsz-sum, Belaramani, Kiran , Chan, Chun-kong , Chan, Wing-ki, Chan, Wai-lun Larry, Cheung, H. M. E., Cheung, Ka-yin, Chang, Richard Shek‐kwan , Cheung, Sing-ngai, Cheung, Tsz-Fung, Cheung, Yuk-fai, Chong, Shuk-ching Josephine, Chow, Chi-kwan Jasmine , Fan, Florence , Fok, Wai-ming Joshua , Fung, Tsui-hang Sharon , Hui, Kwok-fai, Hui, Ting-hin, Ko, Chun Hung, Kwan, Min-chung, Kwok, Anne Mei Kwun , Kwok, Sung-shing Jeffrey, Lai, Moon-sing, Lam, Yau-on, Lam, Ching‐Wan , Lau, Ming-chung, Law, Hiu-Fung, Lee, Wing‐Cheong , Leung, Kin-hang, Leung, Kit-yan, Li, Siu-hung, Ling, Tsz-ki, Liu, Kam Tim , Lui, Colin H. T., Luk, Ching-on, Luk, Ho‐Ming , Ma, Che-Kwan, Ma, Karen , Ma, Kam-hung , Mew, Yuen-ni, Mo, Alex, Hg, Sui-Fun, Poon, Grace Wing-kit , Sheng, Bun , Szeto, Cheuk-ling Charing, Tai, Shuk‐Mui, Tang, Jing-Liang, Tse, Choi-ting Alan , Tsung, Li-yan Lilian, Wong, Ho-ming June, Wong, Wing-yin Winnie, Wong, Kwok-kui, Wong, Suet-na Sheila , Wong, Chun-nei Virginia, Wong, Wai-shan Sammy, Wong, Chi-kin Felix, Wu, Shun-Ping, Wu, Hiu-fung Jerome , Yau, Man-Mut, Yau, Eric Kin Cheong , Yeung, Wai Lan , Yeung, Hon‐Ming Jonas , Yip, Kin-keung Edwin, Young, Pui-hong Terence, Yuan, Gao , Yuen, Yuet‐Ping , Yuen, Chi-lap, Anselm, Irina A , Bowen, Aaron , Ganetzky, Rebecca D , Gannon, Jennifer , Gorman, Grainne S , Greene, Carol , Gropman, Andrea L , Haas, Richard H , Hirano, Michio , Kapoor, Seema , Karaa, Amel , Koenig, Mary Kay , Kornblum, Cornelia , Kose, Engin , Larson, Austin A , Lichter-Konecki, Uta , Lopriore, Piervito , Mancuso, Michelangelo , McFarland, Robert , Moe, Aye Myat , Ng, Yi Shiau , Saneto, Russell P , Scaglia, Fernando , Sue, Carolyn M , Tarnopolsky, Mark , Walker, Melissa A , Parikh, Sumit , Cheuk-Wing, Fung , Wong, Tsz-Sum , Belaramani, Kiran , Chan, Chun-Kong , Chan, Wing-Ki , Chan, Wai-Lun Larry , Cheung, Hon-Wing , Cheung, Ka-Yin , Chang, Shek-Kwan , Cheung, Sing-Ngai , Cheung, Tsz-Fung , Cheung, Yuk-Fai , Chow, Chi-Kwan Jasmine , Chung, Hon-Yin B , Fan, Sin-Ying Florence , Fok, Wai-Ming Joshua , Fung, Tsui-Hang Sharon , Hui, Kwok-Fai , Hui, Ting-Hin , Hui, Joannie , Ko, Chun Hung , Kwan, Min-Chung , Kwok, Mei-Kwan Anne , Kwok, Sung-Shing Jeffrey , Lai, Moon-Sing , Lam, Yau-On , Lam, Ching-Wan , Lau, Ming-Chung , Law, Chun-Yiu Eric , Law, Hiu-Fung , Lee, Wing-Cheong , Leung, Kin-Hang , Leung, Kit-Yan , Li, Siu-Hung , Liu, Kam-Tim Timothy , Lo, Fai-Man , Lui, Colin , Luk, Ho-Ming , Ma, Che-Kwan , Ma, Karen , Ma, Kam-Hung , Mo, Alex , Hg, Sui-Fun , Poon, Wing-Kit Grace , Sheng, Bun , Tse, Choi-Ting Alan , Wong, Ho-Ming June , Wong, Wing-Yin Winnie , Wong, Kwok-Kui , Wong, Suet-Na Sheila , Wong, Chun-Nei Virginia , Wong, Wai-Shan Sammy , Wu, Hiu-Fung Jerome , Yau, Kin-Cheong Eric , Yeung, Wai-Lan , Yeung, Hon-Ming Jonas , Yip, Kin-Keung Edwin , Young, Pui-Hong Terence , Yuan, Gao , Yuen, Yuet-Ping Liz , Ivaniuk, Alina , Cohen, Bruce H , Ganetzky, Rebecca , Larson, Austin , Morava, Éva , Sue, Carolyn M. , Parikh, Sumit , Group, as the Hong Kong Mitochondrial Diseases Interest, Fong, Ka-Wing, Lee, Han‐Chih Hencher , Tang, Jing-Liang, Wu, Hui-Jun

Mayo Clinic

Neurology | January 30, 2025 | Volume: 104 | Issue: 4 | Pages: No page available

10.1212/wnl.0000000000209779 | PMID 39883904 Get It

Stiffness analysis of meningiomas using neural network-based inversion on MR Elastography
Murphy, Matthew C. , Camerucci, Emanuele , Plitt, Aaron , Shan, Xiang , Zheng, Keni , Sui, Yi, Manduca, Armando , Gompel, Jamie J. Van , Ehman, Richard L. , Huston, John , Yin, Ziying

Mayo Clinic

2024 46th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC) | December 17, 2024 | Volume: No volume available | Issue: No issue available | Pages: 1-5

10.1109/embc53108.2024.10781605 | PMID 40039666 Get It

Multicenter Validation of the Ocular Myasthenia Gravis Rating Scale Questionnaire
Wong, Sui H. , Abuzaitoun, Rebhi , Cornblath, Wayne T. , Eggenberger, Eric , Khanna, Sangeeta , Deveney, Tatiana , Ehrlich, Joshua R. , Andrews, Chris , Barnett, Carolina , Lott, Lindsey B. De , Wong, Sui Hsien , Eggenberger, Eric R , Andrews, Chris A , Barnett-Tapia, Carolina , De Lott, Lindsey B , Khanna, Sangeeta

Mayo Clinic

Neurology | December 10, 2024 | Volume: 104 | Issue: 1 | Pages: No page available

10.1212/wnl.0000000000210150 | PMID 39657098 Get It

3D‐Printed Polymeric Biomaterials for Health Applications
Zhu, Yuxiang , Guo, Shenghan , Ravichandran, Dharneedar , Ramanathan, Arunachalam , Sacco, Alaina F., Patil, Dhanush , Thummalapalli, Sri Vaishnavi , Pulido, Tiffany V., Lancaster, Jessica N. , Yi, Johnny , Cornella, Jeffrey L. , Wang, Linbing , Zhao, Yiping , Chambers, Lindsay B. , Theobald, Taylor G. , Yang, Sui , Liang, Liang, Song, Kenan , Patil, Dhanush , Thummalapalli, Sri Vaishnavi , Lancaster, Jessica N , Yi, Johnny , Chen, Xiangfan , Mei, Xuan , Zhang, Yu Shrike , Wang, Linbing , Wang, Xianqiao , Zhao, Yiping , Hassan, Mohammad K , Yang, Sui , Song, Kenan , Ravichandran, Dharneedar , Zhu, Yuxiang , Ramanathan, Arunachalam , Sobczak, M. Taylor , Sacco, Alaina F., Lott, David G. , Chen, Xiangfan , Mei, Xuan , Zhang, Yu Shrike , Liang, Liang

Mayo Clinic

Advanced Healthcare Materials | November 5, 2024 | Volume: 14 | Issue: 1 | Pages: No page available

10.1002/adhm.202402571 | PMID 39498750 Get It

Abstract 3D printing, also known as additive manufacturing, holds immense potential for rapid prototyping and customized production of functional health‐related devices. With advancements in polymer chemistry and biomedical engineering, polymeric biomaterials have become integral to 3D‐printed biomedical applications. However, there still exists a bottleneck in the compatibility of polymeric biomaterials with different 3D printing methods, as well as intrinsic challenges such as limited printing resolution and rates. Therefore, this review aims to introduce the current state‐of‐the‐art in 3D‐printed functional polymeric health‐related devices. It begins with an overview of the landscape of 3D printing techniques, followed by an examination of commonly used polymeric biomaterials. Subsequently, examples of 3D‐printed biomedical devices are provided and classified into categories such as biosensors, bioactuators, soft robotics, energy storage systems, self‐powered devices, and data science in bioplotting. The emphasis is on exploring the current capabilities of 3D printing in manufacturing polymeric biomaterials into desired geometries that facilitate device functionality and studying the reasons for material choice. Finally, an outlook with challenges and possible improvements in the near future is presented, projecting the contribution of general 3D printing and polymeric biomaterials in the field of healthcare.
Multicenter validation of an RNA-based assay to predict anti-PD-1 disease control in patients with recurrent or metastatic head and neck squamous cell carcinoma: the PREDAPT study
Flanagan, Kevin C. , Earls, Jon, Hiken, Jeffrey, Wellinghoff, Rachel L., Ponder, Michelle, McLeod, Howard L. , Westra, William H. , Vavinskaya, Vera , Sutton, Leisa , Deichaite, Ida , Macdonald, O. Kenneth, Welaya, Karim, Wade, James L. , Azzi, Georges, Pippas, Andrew W., Slim, Jennifer N. , Bank, Bruce, Sui, Xingwei, Kossman, Steven E., Shenkenberg, Todd D., Alexander, Warren L., Price, Katharine A. , Messina, D. , Glasscock, Jarret , Adkins, Douglas, Ley, Jessica C. , Colevas, Alexander Dimitrios , Cohen, Ezra E.W. , Duncavage, Eric James

Mayo Clinic

Journal for ImmunoTherapy of Cancer | November 3, 2024 | Volume: 12 | Issue: 11 | Pages: e009573

10.1136/jitc-2024-009573 | PMID 39489541 Get It

Background Despite advances in cancer care and detection, >65% of patients with squamous cell cancer of the head and neck (HNSCC) will develop recurrent and/or metastatic disease. The prognosis for these patients is poor with a 5-year overall survival of 39%. Recent treatment advances in immunotherapy, including immune checkpoint inhibitors like pembrolizumab and nivolumab, have resulted in clinical benefit in a subset of patients. There is a critical clinical need to identify patients who benefit from these antiprogrammed cell death protein 1 (anti-PD-1) immune checkpoint inhibitors. Methods Here, we report findings from a multicenter observational study, PREDicting immunotherapy efficacy from Analysis of Pre-treatment Tumor biopsies (PREDAPT), conducted across 17 US healthcare systems. PREDAPT aimed to validate OncoPrism-HNSCC, a clinical biomarker assay predictive of disease control in patients with recurrent or metastatic HNSCC treated with anti-PD-1 immune checkpoint inhibitors as a single agent (monotherapy) and in combination with chemotherapy (chemo-immunotherapy). The test used RNA-sequencing data and machine learning models to score each patient and place them into groups of low, medium, or high. Results The OncoPrism-HNSCC prediction significantly correlated with disease control in both the monotherapy cohort (n=62, p=0.004) and the chemo-immunotherapy cohort (n=50, p=0.01). OncoPrism-HNSCC also significantly predicted progression-free survival in both cohorts (p=0.015 and p=0.037, respectively). OncoPrism-HNSCC had more than threefold higher specificity than programmed death-ligand 1 combined positive score and nearly fourfold higher sensitivity than tumor mutational burden for predicting disease control. Conclusions Here, we demonstrate the clinical validity of the OncoPrism-HNSCC assay in identifying patients with disease control in response to anti-PD-1 immune checkpoint inhibitors. Trial registration number NCT04510129.