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1312 citation(s) found for "Wu, Kyle".

Cancer, Diabetes, Survival and Glycemic Control: A Large Multisite Analysis
Karlin, Nina J. , Kosiorek, Heidi , Verona, Patricia M , Coppola, Kyle , Cook, Curtiss B. , Kosiorek, Heidi E , Coppola, Kyle E , Cook, Curtiss B , Cook, Curtiss B

Future Science OA | February 23, 2023 | Volume: 8 | Issue: 9 | Pages: No page available

10.2144/fsoa-2022-0018 | PMID 36788982 Get It

A practical guide to the development and deployment of deep learning models for the orthopedic surgeon: part II
Kelly, Bryan T. , Nawabi, Danyal H. , Pearle, Andrew D. , Martin, R. Kyle , Pareek, Ayoosh , Sanchez-Sotelo, Joaquin, Pareek, Ayoosh , Oeding, Jacob F. , Williams, Riley J. , Camp, Christopher L. , Sánchez‐Sotelo, Joaquín , Karlsson, Jón , Jang, Seong J.

Knee Surgery, Sports Traumatology, Arthroscopy | February 11, 2023 | Volume: 31 | Issue: 5 | Pages: 1635-1643

10.1007/s00167-023-07338-7 | PMID 36773057 Get It

AbstractDeep learning has the potential to be one of the most transformative technologies to impact orthopedic surgery. Substantial innovation in this area has occurred over the past 5 years, but clinically meaningful advancements remain limited by a disconnect between clinical and technical experts. That is, it is likely that few orthopedic surgeons possess both the clinical knowledge necessary to identify orthopedic problems, and the technical knowledge needed to implement deep learning‐based solutions. To maximize the utilization of rapidly advancing technologies derived from deep learning models, orthopedic surgeons should understand the steps needed to design, organize, implement, and evaluate a deep learning project and its workflow. Equipping surgeons with this knowledge is the objective of this three‐part editorial review. Part I described the processes involved in defining the problem, team building, data acquisition, curation, labeling, and establishing the ground truth. Building on that, this review (Part II) provides guidance on pre‐processing and augmenting the data, making use of open‐source libraries/toolkits, and selecting the required hardware to implement the pipeline. Special considerations regarding model training and evaluation unique to deep learning models relative to “shallow” machine learning models are also reviewed. Finally, guidance pertaining to the clinical deployment of deep learning models in the real world is provided. As in Part I, the focus is on applications of deep learning for computer vision and imaging.
Fecal Microbiota Transplantation for Clostridioides difficile Infection in Immunocompromised Pediatric Patients
Conover, Katie R. , Absah, Imad , Ballal, Sonia, Brumbaugh, David , Cho, Stanley, Cárdenas, María C. , Knackstedt, Elizabeth D , Goyal, Alka , Jensen, M. Kyle , Kaplan, Jess L. , Michail, Sonia , Reed, Anna W. , Weatherly, Madison, Kahn, Stacy A. , Nicholson, Maribeth R. , Kellermayer, Richárd , Kociolek, Larry K. , Oliva‐Hemker, Maria

Journal of Pediatric Gastroenterology and Nutrition | January 31, 2023 | Volume: 76 | Issue: 4 | Pages: 440-446

10.1097/mpg.0000000000003714 | PMID 36720105 Get It

Objectives:We sought to evaluate the safety and effectiveness of fecal microbiota transplantation (FMT) for recurrent Clostridioides difficile infection (CDI) in pediatric immunocompromised (IC) patients.Methods:This is a multicenter retrospective cohort study of pediatric participants who underwent FMT between March 2013 and April 2020 with 12‐week follow‐up. Pediatric patients were included if they met the definition of IC and were treated with FMT for an indication of recurrent CDI. We excluded patients over 18 years of age, those with incomplete records, insufficient follow‐up, or not meeting study definition of IC. We also excluded those treated for Clostridioides difficile recurrence without meeting the study definition and those with inflammatory bowel disease without another immunocompromising condition.Results:Of 59 pediatric patients identified at 9 centers, there were 42 who met inclusion and no exclusion criteria. Included patients had a median age of 6.7 years. Etiology of IC included: solid organ transplantation (18, 43%), malignancy (12, 28%), primary immunodeficiency (10, 24%), or other chronic conditions (2, 5%). Success rate was 79% after first FMT and 86% after 1 or more FMT. There were no statistically significant differences in patient characteristics or procedural components when patients with a failed FMT were compared to those with a successful FMT. There were 15 total serious adverse events (SAEs) in 13 out of 42 (31%) patients that occurred during the follow‐up period; 4 (9.5%) of which were likely treatment‐related. There were no deaths or infections with multidrug resistant organisms during follow‐up and all patients with a SAE fully recovered.Conclusions:The success rate of FMT for recurrent CDI in this pediatric IC cohort is high and mirrors data for IC adults and immunocompetent children. FMT‐related SAEs do occur (9.5%) and highlight the need for careful consideration of risk and benefit.
Clonal Kinetics and Single-Cell Transcriptional Profiles of T Cells Mobilized to Blood by Acute Exercise
Baker, Forrest L. , Smith, Kyle A. , Batatinha, Helena , Lau, Branden, Burgess, Shane C. , Gustafson, Michael P. , Zúñiga, Tiffany M. , Katsanis, Emmanuel , Simpson, Richard J.

Medicine & Science in Sports & Exercise | January 31, 2023 | Volume: 55 | Issue: 6 | Pages: 991-1002

10.1249/mss.0000000000003130 | PMID 36719647 Get It

ABSTRACT Purpose Acute exercise redistributes large numbers of memory T cells, which may contribute to enhanced immune surveillance in regular exercisers. It is not known, however, if acute exercise promotes a broad or oligoclonal T-cell receptor (TCR) repertoire or evokes transcriptomic changes in “exercise-responsive” T-cell clones. Methods Healthy volunteers completed a graded bout of cycling exercise up to 80% V̇O 2max . DNA was extracted from peripheral blood mononuclear cells collected at rest, during exercise (EX), and 1 h after (+1H) exercise, and processed for deep TCR-β chain sequencing and tandem single-cell RNA sequencing. Results The number of unique clones and unique rearrangements was decreased at EX compared with rest ( P < 0.01) and +1H ( P < 0.01). Productive clonality was increased compared with rest ( P < 0.05) and +1H ( P < 0.05), whereas Shannon’s Index was decreased compared with rest ( P < 0.05) and +1H ( P < 0.05). The top 10 rearrangements in the repertoire were increased at EX compared with rest ( P < 0.05) and +1H ( P < 0.05). Cross-referencing TCR-β sequences with a public database (VDJdb) revealed that exercise increased the number of clones specific for the most prevalent motifs, including Epstein–Barr virus, cytomegalovirus, and influenza A. We identified 633 unique exercise-responsive T-cell clones that were mobilized and/or egressed in response to exercise. Among these clones, there was an upregulation in genes related to cell death, cytotoxicity, and activation ( P < 0.05). Conclusions Acute exercise promotes an oligoclonal T-cell repertoire by preferentially mobilizing the most dominant clones, several of which are specific to known viral antigens and display differentially expressed genes indicative of cytotoxicity, activation, and apoptosis.
AAPM Task Group Report 238: 3D C‐arms with volumetric imaging capability*
Supanich, Mark , Siewerdsen, J. H. , Fahrig, Rebecca , Helm, Pat, Jans, J. C., Kuhls‐Gilcrist, Andrew, Riddell, Cyril , Ritschl, Ludwig, Schäfer, Sebastian , Schueler, Beth A. , Silver, Mike, Timmer, Jan, Trousset, Yves, Schueler, Beth, Farahani, Keyvan , Gang, Grace J. , Helm, Patrick A. , Jones, A. Kyle , Koenig, Thomas W. , Lin, MingDe , Zhang, Jie

Medical Physics | January 29, 2023 | Volume: 50 | Issue: 8 | Pages: No page available

10.1002/mp.16245 | PMID 36710257 Get It

AbstractThis report reviews the image acquisition and reconstruction characteristics of C‐arm Cone Beam Computed Tomography (C‐arm CBCT) systems and provides guidance on quality control of C‐arm systems with this volumetric imaging capability. The concepts of 3D image reconstruction, geometric calibration, image quality, and dosimetry covered in this report are also pertinent to CBCT for Image‐Guided Radiation Therapy (IGRT). However, IGRT systems introduce a number of additional considerations, such as geometric alignment of the imaging at treatment isocenter, which are beyond the scope of the charge to the task group and the report.Section 1 provides an introduction to C‐arm CBCT systems and reviews a variety of clinical applications. Section 2 briefly presents nomenclature specific or unique to these systems. A short review of C‐arm fluoroscopy quality control (QC) in relation to 3D C‐arm imaging is given in Section 3. Section 4 discusses system calibration, including geometric calibration and uniformity calibration. A review of the unique approaches and challenges to 3D reconstruction of data sets acquired by C‐arm CBCT systems is give in Section 5. Sections 6 and 7 go in greater depth to address the performance assessment of C‐arm CBCT units. First, Section 6 describes testing approaches and phantoms that may be used to evaluate image quality (spatial resolution and image noise and artifacts) and identifies several factors that affect image quality. Section 7 describes both free‐in‐air and in‐phantom approaches to evaluating radiation dose indices.The methodologies described for assessing image quality and radiation dose may be used for annual constancy assessment and comparisons among different systems to help medical physicists determine when a system is not operating as expected. Baseline measurements taken either at installation or after a full preventative maintenance service call can also provide valuable data to help determine whether the performance of the system is acceptable. Collecting image quality and radiation dose data on existing phantoms used for CT image quality and radiation dose assessment, or on newly developed phantoms, will inform the development of performance criteria and standards. Phantom images are also useful for identifying and evaluating artifacts. In particular, comparing baseline data with those from current phantom images can reveal the need for system calibration before image artifacts are detected in clinical practice. Examples of artifacts are provided in Sections 4, 5, and 6.
TMEM161B regulates cerebral cortical gyration, Sonic Hedgehog signaling, and ciliary structure in the developing central nervous system
Akula, Shyam K. , Marciano, Jack H. , Lim, Youngshin , Exposito-Alonso, David , Hylton, Norma K. , Hwang, Grace H. , Neil, Jennifer E., Dominado, Nicole , Bunton-Stasyshyn, Rosie , Song, Janet , Talukdar, Maya , Schmid, Aloisia, Teboul, Lydia , Mo, Alisa , Finander, Benjamin , Beck, Samantha G., Yeh, Rebecca C., Otani, Aoi, Qian, Xuyu , DeGennaro, Ellen M. , Alkuraya, Fowzan S. , Maddirevula, Sateesh , Cascino, Gregory D. , Network, Undiagnosed Diseases, Burrage, Lindsay C. , Rosenfield, Jill A., Ketkar, Shamika , Clark, Gary, Bacino, Carlos A. , Lewis, Richard A. , Segal, Rosalind A. , Bazán, J. Fernando , Smith, K. A. , Golden, Jeffrey A. , Cho, Ginam , Walsh, Christopher A. , Alejandro, Mercedes E., Ashley, Euan A. , Baker, Eva H. , Balasubramanyam, Ashok , Barseghyan, Hayk , Batzli, Gabriel F., Bernstein, Jonathan A. , Bican, Anna, Bick, David , Birch, Camille L., Boone, Braden, Bostwick, Bret L. , Briere, Lauren C. , Brokamp, Elly , Brush, Matthew , Chen, Shan , Coakley, Terra R., Cobban, Laurel A., Colley, Heather A., Cooper, Cynthia M. , Craigen, William J., D’Souza, Precilla , Davids, Mariska, Davidson, Jean M. , Dayal, Jyoti G. , Dell’Angelica, Esteban C., Dhar, Shweta U. , Dipple, Katrina M. , Dorrani, Naghmeh, Dorset, Daniel C., Douglas, Jessica, Draper, David D., Dries, Annika M., Eckstein, David J. , Emrick, Lisa , Eng, Christine M. , Enns, Gregory M. , Eskin, Ascia , Esteves, Cecilia, Estwick, Tyra, Fernández, Liliana, Fogel, Brent L. , Friedman, Noah D., Gahl, William A. , Godfrey, Rena A., Goldstein, David B. , Gould, Sarah E., Groden, Catherine, Hamid, Rizwan , Hanchard, Neil A. , High, Frances A. , Hom, Jason , Howerton, Ellen M. , Jamal, Fariha , Jiang, Yong‐hui , Johnston, Jean M., Karaviti, Lefkothea , Kelley, Emily G., Koeller, David M. , Kohane, Isaac S. , Kohler, Jennefer N., Korrick, Susan , Kozuira, Mary, Krasnewich, Donna M., Krier, Joel B. , Lau, C. Christopher, Lazar, Jozef, LeBlanc, Kimberly , Lee, Brendan , Lee, Hane , Lewis, Richard A., Loscalzo, Joseph, Maas, Richard L., MacRae, Calum A. , Maduro, Valerie V. , Majcherska, Marta M., Malicdan, May Christine V. , Mamounas, Laura A., Manolio, Teri A. , Markello, Thomas C. , Martín, Martín G., Marwaha, Shruti , May, Thomas , McConkie‐Rosell, Allyn , McCormack, Colleen E., McCray, Alexa T. , Merker, Jason D. , Moretti, Paolo , Morimoto, Marie , Murdock, David R. , Muzny, Donna M., Nehrebecky, Michele, Nelson, Stan F., Newberry, J. Scott, Newman, John H. , Nicholas, Sarah K. , Novacic, Donna, Orengo, James P. , Pallais, J. Carl , Palmer, Christina G.S. , Papp, Jeanette C. , Parker, Neil H., Peña, Loren D.M. , Phillips, John A., Potocki, Lorraine , Pusey, Barbara N., Renteria, Genecee, Rives, Lynette, Robertson, Amy K., Rodan, Lance H. , Sampson, Jacinda B. , Samson, Susan L. , Schoch, Kelly, Shakachite, Lisa, Sharma, Prashant , Shashi, Vandana , Signer, Rebecca , Silverman, Edwin K. , Smith, Kevin S., Spillmann, Rebecca C. , Stoler, Joan M. , Sullivan, Jennifer A. , Tan, Queenie K.‐G., Tan, Wen-Haan, Toro, Camilo , Tran, Alyssa A., Urv, Tiina K. , Vogel, Tiphanie P. , Waggott, Daryl, Wahl, Colleen E., Walker, Melissa , Walley, Nicole M., Wan, Jijun , Ward, Patricia A., Westerfield, Monte, Wise, Anastasia L., Wolfe, Lynne A. , Yang, Yaping , Yoon, Amanda J., Yu, Guoyun, Zastrow, Diane B. , Zhao, Chunli , Zheng, Allison, Bunton-Stasyshyn, Rosie K , DeGennaro, Ellen M , Cascino, Gregory D , Giannini, Caterina , Burrage, Lindsay C , Rosenfield, Jill A , Bacino, Carlos , Lewis, Richard A , Segal, Rosalind A , Bazan, J Fernando , Smith, Kelly A , Golden, Jeffrey A , Cho, Ginam , Walsh, Christopher A , Alkuraya, Fowzan S , Akula, Shyam K , Shin, Taehwan , Giannini, Caterina , Network, Undiagnosed Diseases, Adams, David R. , Aday, Aaron W. , Allard, Patrick , Azamian, Mahshid S. , Beggs, Alan H. , Behnam, Babak , Bellen, Hugo J. , Berry, Gerard T. , Bonner, Devon E. , Brown, Donna M. , Burke, Elizabeth A. , Butte, Manish J. , Cogan, Joy D. , Cope, Heidi , D’Souza, Precilla , Douine, Emilie D. , Ferreira, Carlos R , Fieg, Elizabeth L. , Fisher, Paul Graham , Goldman, Alica M. , Gourdine, Jean-Philippe F. , Gropman, Andrea L , Haendel, Melissa , Holm, Ingrid A. , Huang, Yong , Jones, Angela , Kyle, Jennifer E , Lalani, Seema R , Levy, Shawn , Lewis, Richard A., Loo, Sandra K. , Macnamara, Ellen F. , Marom, Ronit , Martínez-Agosto, Julián A. , May, Thomas, Metz, Thomas , Might, Matthew , Mochida, Ganeshwaran H. , Mulvihill, John Joseph , Murphy, Jennifer L. , Muzny, Donna M. , Orange, Jordan S. , Phillips, John A., Posey, Jennifer E , Postlethwait, John H. , Reuter, Chloe M. , Rosenfeld, Jill A. , Scott, Daryl A , Sinsheimer, Janet S. , Stong, Nicholas , Sweetser, David A , Tifft, Cynthia , Vilain, Eric J. N. , Walley, Nicole M., Wangler, Michael F , Waters, Katrina M. , Webb‐Robertson, Bobbie‐Jo , Wheeler, Matthew T , Worthey, Elizabeth A. , Yamamoto, Shinya , Yang, John Jeongseok

Proceedings of the National Academy of Sciences | January 20, 2023 | Volume: 120 | Issue: 4 | Pages: No page available

10.1073/pnas.2209964120 | PMID 36669111 Get It

Sonic hedgehog signaling regulates processes of embryonic development across multiple tissues, yet factors regulating context-specific Shh signaling remain poorly understood. Exome sequencing of families with polymicrogyria (disordered cortical folding) revealed multiple individuals with biallelic deleterious variants in TMEM161B , which encodes a multi-pass transmembrane protein of unknown function. Tmem161b null mice demonstrated holoprosencephaly, craniofacial midline defects, eye defects, and spinal cord patterning changes consistent with impaired Shh signaling, but were without limb defects, suggesting a CNS-specific role of Tmem161b. Tmem161b depletion impaired the response to Smoothened activation in vitro and disrupted cortical histogenesis in vivo in both mouse and ferret models, including leading to abnormal gyration in the ferret model. Tmem161b localizes non-exclusively to the primary cilium, and scanning electron microscopy revealed shortened, dysmorphic, and ballooned ventricular zone cilia in the Tmem161b null mouse, suggesting that the Shh-related phenotypes may reflect ciliary dysfunction. Our data identify TMEM161B as a regulator of cerebral cortical gyration, as involved in primary ciliary structure, as a regulator of Shh signaling, and further implicate Shh signaling in human gyral development.
Efficacy and Safety of Mitomycin Gel (UGN-101) as an Adjuvant Therapy After Complete Endoscopic Management of Upper Tract Urothelial Carcinoma
Rose, Kyle, Sexton, Wade J. , Tachibana, Isamu , Kaimakliotis, Hristov, Jacob, Joseph M , Dickstein, Rian J., Linehan, Jennifer , Nieder, Alan M. , Bjurlin, Marc A. , Humphreys, Mitchell R. , Quek, Marcus, O’Donnell, Michael A. , Eisner, Brian H. , Humphreys, Mitchell, O'Donnell, Michael A , Labbate, Craig V. , Woldu, Solomon L , Murray, Katie S. , Rose, Kyle M., Ghodoussipour, Saum B. , Feldman, Adam Scott , Lotan, Yair , Matin, Surena F.

Journal of Urology | January 19, 2023 | Volume: 209 | Issue: 5 | Pages: 872-881

10.1097/ju.0000000000003185 | PMID 36657029 Get It

Associations between testing and treatment pathways in lesional temporal or extratemporal epilepsy: A census survey of NAEC center directors
Beatty, Christopher W. , Ahrens, Stephanie M. , Arredondo, Kristen H. , Bagić, Anto , Bai, Shasha , Chapman, Kevin , Ciliberto, Michael A. , Clarke, Dave , Eisner, Mariah , Fountain, Nathan B. , Gavvala, Jay R. , Perry, Μ. Scott , Herman, Susan T. , Ostendorf, Adam P. , Bagić, Anto I , Perry, Michael Scott , Rossi, Kyle C , Wong-Kisiel, Lily C. , Ostendorf, Adam P , Fountain, Nathan , Gavvala, Jay R , Arredondo, Kristen H , Wong‐Kisiel, Lily C.

Epilepsia | January 19, 2023 | Volume: 64 | Issue: 4 | Pages: 821-830

10.1111/epi.17512 | PMID 36654194 Get It

Abstract Objective The evaluation to determine candidacy and treatment for epilepsy surgery in persons with drug‐resistant epilepsy (DRE) is not uniform. Many non‐invasive and invasive tests are available to ascertain an appropriate treatment strategy. This study examines expert response to clinical vignettes of magnetic resonance imaging (MRI)–positive lesional focal cortical dysplasia in both temporal and extratemporal epilepsy to identify associations in evaluations and treatment choice. Methods We analyzed annual report data and a supplemental epilepsy practice survey reported in 2020 from 206 adult and 136 pediatric epilepsy center directors in the United States. Non‐invasive and invasive testing and surgical treatment strategies were compiled for the two scenarios. We used chi‐square tests to compare testing utilization between the two scenarios. Multivariable logistic regression modeling was performed to assess associations between variables. Results The supplemental survey response rate was 100% with 342 responses included in the analyses. Differing testing and treatment approaches were noted between the temporal and extratemporal scenarios such as chronic invasive monitoring selected in 60% of the temporal scenario versus 93% of the extratemporal scenario. Open resection was the most common treatment choice; however, overall treatment choices varied significantly ( p < .001). Associations between non‐invasive testing, invasive testing, and treatment choices were present in both scenarios. For example, in the temporal scenario stereo‐electroencephalography (SEEG) was more commonly associated with fluorodeoxyglucose–positron emission tomography (FDG‐PET) (odds ratio [OR] 1.85; 95% confidence interval [CI] 1.06–3.29; p = .033), magnetoencephalography (MEG) (OR 2.90; 95% CI 1.60–5.28; p = <.001), high density (HD) EEG (OR 2.80; 95% CI 1.27–6.24; p = .011), functional MRI (fMRI) (OR 2.17; 95% CI 1.19–4.10; p = .014), and Wada (OR 2.16; 95% CI 1.28–3.66; p = .004). In the extratemporal scenario, choosing SEEG was associated with increased odds of neuromodulation over open resection (OR 3.13; 95% CI 1.24–7.89; p = .016). Significance In clinical vignettes of temporal and extratemporal lesional DRE, epilepsy center directors displayed varying patterns of non‐invasive testing, invasive testing, and treatment choices. Differences in practice underscore the need for comparative trials for the surgical management of DRE.
Inflammasome mediated neuronal-microglial crosstalk: a therapeutic substrate of the familial C9orf72 variant of frontotemporal dementia/amyotrophic lateral sclerosis
Trageser, Kyle J. , Yang, Eun‐Jeong , Iban‐Arias, Ruth , Oguchi, Tatsunori, Iqbal, Umar , Wu, Henry, Estill, Molly , Rahim, Md Al, Raval, Urdhva , Herman, Francis , Zhang, Yong Jie , Petrucelli, Leonard , Zhang, Yong‐Jie , Zhang, Yong-Jie , Smith, Chad , Sebastian-Valverde, Maria , Pasinetti, Giulio Maria

No container title available | January 16, 2023 | Volume: No volume available | Issue: No issue available | Pages: No page available

10.21203/rs.3.rs-2420211/v1 Get It

Abstract Intronic G4C2 hexanucleotide repeat expansions (HRE) of C9orf72 are the most common cause of familial variants of frontotemporal dementia/amyotrophic lateral sclerosis (FTD/ALS). G4C2 HREs in C9orf72 undergo non-canonical repeat-associated translation, producing dipeptide repeat (DPR) proteins, with various deleterious impacts on cellular homeostasis. While five different DPRs are produced, poly(glycine-arginine) (GR) is amongst the most toxic and is the only DPR to accumulate in the associated clinically relevant anatomical locations of the brain. Previous work has demonstrated the profound effects of a poly(GR) model of C9orf72 FTD/ALS, including motor impairment, memory deficits, neurodegeneration, and neuroinflammation. Neuroinflammation is hypothesized to be a driving factor in the disease course; microglia activation is present prior to symptom onset and persists throughout the disease. Here, using an established mouse model of C9orf72 FTD/ALS we investigate the contributions of the nod-like receptor pyrin-containing 3 (NLRP3) inflammasome in the pathogenesis of FTD/ALS. We find that inflammasome-mediated neuroinflammation is increased with microglial activation, cleavage of caspase-1, production of IL-1β and upregulation of Cxcl10 in the brain of C9orf72 FTD/ALS mice. Excitingly, we find that genetic ablation of Nlrp3 significantly improved survival, protected behavioral deficits and prevented neurodegeneration suggesting a novel mechanism involving HRE-mediated induction of innate immunity. The findings provide experimental evidence of the integral role of HRE in inflammasome-mediated innate immunity in the C9orf72 variant of FTD/ALS pathogenesis and suggest the NLRP3 inflammasome as a therapeutic target.