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657 citation(s) found for "Ma, Grace".

Video Analysis of 26 Cases of Second ACL Injury Events in Collegiate and Professional Athletes
Vargas, Manuela, Chaney, Grace K. , Jaramillo, María Clara Mejía , Cummings, Paige , McPherson, April L. , Mejía Jaramillo, María C, McPherson, April, Bates, Nathaniel A.

International Journal of Sports Physical Therapy | February 1, 2023 | Volume: 18 | Issue: 1 | Pages: No page available

10.26603/001c.67775 | PMID 36793574 Get It

Background Significant effort has gone into the identification and quantification of the underlying mechanisms of primary ACL injury. Secondary ACL injury is observed in approximately 1/4 to 1/3 of athletes who return to sport following ACL reconstruction. However, little has been done to evaluate the mechanisms and playing circumstances surrounding these repeat injuries. Hypothesis/Purpose The purpose of this study was to characterize the mechanisms of non-contact secondary ACL injuries using video analysis. It was hypothesized that in video recordings of secondary ACL injury, athletes would exhibit greater frontal plane hip and knee angles, but not greater hip and knee flexion, at 66 ms following initial contact (IC) as compared to at IC and 33ms following IC. Study Design Cross-Sectional Study Methods Twenty-six video recordings of competitive athletes experiencing secondary ACL ruptures via noncontact mechanisms were analyzed for lower extremity joint kinematics, playing situation, and player attention. Kinematics were assessed at IC as well as 33 ms (1 broadcast frame) and 66 ms (2 broadcast frames) following IC. Results Knee flexion and knee frontal plane angles were greater at 66 ms than IC (p ≤ 0.03). Hip, trunk, and ankle frontal plane angles were not greater at 66 ms than IC (p ≥ 0.22). Injuries were distributed between attacking play (n=14) and defending (n=8). Player attention was most commonly focused on the ball (n=12) or an opponent (n=7). A single-leg landing accounted for just over half of the injuries (54%), while a cutting motion accounted for the remainder of the injuries (46%). Conclusion Secondary ACL injury was most likely to occur during landing or a sidestep cut with player attention external to their own body. Knee valgus collapse combined with limited hip motion was identified in the majority of secondary injuries. Level of Evidence Level IIIb
Availability and nature of cardiac rehabilitation by province in Iran: A 2018 update of ICCPR's global audit
Supervía, Marta , Fard, Mohammad Rafati, Noohi, Fereydoun, Grace, Sherry L. , Grace, Sherry L , Sadeghi, Masoumeh , Turk-Adawi, Karam , Noohi, Fereydoun, Roohafza, Hamidreza

Journal of Research in Medical Sciences | January 30, 2023 | Volume: 28 | Issue: 1 | Pages: No page available

10.4103/jrms.jrms_68_21 | PMID 36974111 Get It

Background: Cardiac rehabilitation (CR) is scantly available in Iran, although it is the cost-benefit strategy in cardiac patients, It has not been established how CR is delivered within Iran. This study aimed to determine: (a) availability, density and unmet need for CR, and (b) nature of CR services in Iran by province. Materials and Methods: In this cross-sectional sub-study of the global CR audit, program availability was determined through cardiovascular networks. An online survey was then disseminated to these programs in June 2016–2017 which assessed capacity and characteristics; a paper-based survey was disseminated in 2018 to nonresponding and any new programs. CR density and need was computed based on annual incidence of acute myocardial infarction (AMI) in each province. Results: Of the 31 provinces, 12 (38.7%) had CR services. There were 30 programs nationally, all in capital cities; of these, programs in 9 (75.0%) provinces, specifically 22 (73.3%) programs, participated. The national CR density is 1 spot per 7 incident AMI patients/year. Unmet need is greatest in Khuzestan, Tehran and west Azerbaijan, with 44,816 more spots needed/year. Most programs assessed cardiovascular risk factors, and offered comprehensive services, delivered by a multi-disciplinary team, comprised chiefly of nurses, dietitians and cardiologists. Median dose is 14 sessions/program in supervised programs. A third of programs offered home-based services. Conclusion: Where programs do exist in IRAN, they are generally delivered in accordance with guidelines. Therefore, we must increase capacity in CR services in all provinces to improve secondary prevention services.
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.
Diagnostic quality model (DQM): an integrated framework for the assessment of diagnostic quality when using AI/ML
Lennerz, Jochen K. , Salgado, Roberto, Thierauf, Julia , Indave, Iciar, Bard, Adam Z. , Heher, Yael , Baca, Monica E. de , Cree, Ian A. , Bennett, Shannon M. , Özben, Tomris , Ritterhouse, Lauren L. , Bennett, Shannon, Lennerz, Jochen , Salgado, Roberto , Kim, Grace , Sirintrapun, Sahussapont Joseph , Singh, Ankit Kumar , Weissinger, Stephanie Ellen , Bennett, Shannon, Carobene, Anna

Clinical Chemistry and Laboratory Medicine (CCLM) | January 25, 2023 | Volume: 61 | Issue: 4 | Pages: 544-557

10.1515/cclm-2022-1151 | PMID 36696602 Get It

Abstract Background Laboratory medicine has reached the era where promises of artificial intelligence and machine learning (AI/ML) seem palpable. Currently, the primary responsibility for risk-benefit assessment in clinical practice resides with the medical director. Unfortunately, there is no tool or concept that enables diagnostic quality assessment for the various potential AI/ML applications. Specifically, we noted that an operational definition of laboratory diagnostic quality – for the specific purpose of assessing AI/ML improvements – is currently missing. Methods A session at the 3rd Strategic Conference of the European Federation of Laboratory Medicine in 2022 on “ AI in the Laboratory of the Future” prompted an expert roundtable discussion. Here we present a conceptual diagnostic quality framework for the specific purpose of assessing AI/ML implementations. Results The presented framework is termed diagnostic quality model (DQM) and distinguishes AI/ML improvements at the test, procedure, laboratory, or healthcare ecosystem level. The operational definition illustrates the nested relationship among these levels. The model can help to define relevant objectives for implementation and how levels come together to form coherent diagnostics. The affected levels are referred to as scope and we provide a rubric to quantify AI/ML improvements while complying with existing, mandated regulatory standards. We present 4 relevant clinical scenarios including multi-modal diagnostics and compare the model to existing quality management systems. Conclusions A diagnostic quality model is essential to navigate the complexities of clinical AI/ML implementations. The presented diagnostic quality framework can help to specify and communicate the key implications of AI/ML solutions in laboratory diagnostics.
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.
Randomized Double-Blind Personalized N-of-1 Clinical Trial to Test the Safety and Potential Efficacy of TJ-68 for Treating Muscle Cramps in Amyotrophic Lateral Sclerosis (ALS): study protocol for a TJ-68 trial.
Mitsumoto, Hiroshi , Oskarsson, Björn , Andrews, Howard A., Jang, Grace E. , Shah, Jaimin , Fernandes, Joseph Americo, McElhiney, Martin , Santella, Regina M. , Oskarsson, Björn , Cheung, Ken , Andrews, Jinsy , Fernandes, J. Americo

No container title available | January 10, 2023 | Volume: No volume available | Issue: No issue available | Pages: No page available

10.21203/rs.3.rs-2402049/v1 Get It

Abstract Introduction/Aims: Muscle cramps are a common and often disabling symptom in Amyotrophic Lateral Sclerosis (ALS), a devastating and incurable neurodegenerative disorder. To date, there are no medications specifically approved for the treatment of muscle cramps. Ameliorating muscle cramps in this patient population may sustain quality of life longer. A traditional Japanese medicine, shakuyakukanzoto (TJ-68) is widely prescribed in Japan for managing muscle cramps in a variety of conditions. The Japanese ALS Management Guideline mentions TJ-68 for difficult muscle cramps in ALS. Therefore, this clinical trial is designed to test the safety and efficacy of TJ-68 in participants with ALS reporting serious muscle cramps using a personalized N-of-1 approach. If successful, we can introduce TJ-68 for muscle cramps in ALS to Western medicine. Methods: With FDA-IND approval, we are conducting a two-site, double-blind, randomized personalized N-of-1 early clinical trial with TJ-68. At least 22 participants with ALS and daily muscle cramps will receive drug or placebo for 2 weeks (one treatment period) followed by a 1-week washout in a four-period cross-over design. While the primary objective is to evaluate the safety of TJ-68, the study was sized to detect a one-point shift on the Columbia Muscle Cramp Scale (MCS) item #5 with 85% power under a four-period crossover design.The secondary assessment includes the full MCS score, a Cramp Diary, Clinical Global Impression of Changes, Goal Attainment Scale, quality of life scale and ALS functional rating scale-revised (ALSFRS-R). Discussion: The study is underway. A personalized N-of-1 trial design is an efficient approach to testing medications that alleviate MCS in rare disorders. If TJ-68 proves safe and efficacious, we will work to introduce this product to Western medicine for treatment of patients with ALS and disabling muscle cramps. Trial Registration: This clinical trial has been registered with ClinicalTrials.gov (NCT04998305).
Temporal Maternal Influence on the Developing Microbiota
Greenfield, Kara Grace, Floyd, Alex, Greenfield, Kara G , Floyd, Alex, Newberry, Rodney D. , Knoop, Kathryn A.

The Journal of Immunology | January 1, 2023 | Volume: 204 | Issue: 1_Supplement | Pages: 235.25-235.25

10.4049/jimmunol.204.supp.235.25 Get It

Abstract The microbiota present on every mucosal surface of the body is imperative for the development and maintenance of the immune system. Disruption of the microbiota from environmental factors can affect immune components in both the mucosal and the systemic immune compartments. Following birth in mammals including humans and mice, the microbiota rapidly develops and matures into a composition generally seen in adults when infants are weaned. Gut microbiota composition is directly affected by feeding type, breast-fed vs formula-feeding, in humans, and the microbiota associated with breastfeeding has been shown to promote intestinal health. As the composition of breastmilk changes throughout lactation, we hypothesize maternal provided factors within breastmilk support the development of the microbiota in a temporally sensitive manner. To address this question we asynchronously cross-fostered (ACF) litters born on day 1 to dams who had delivered 2 weeks earlier. Gut microbiota composition was assessed by 16S analysis of stool samples at the time of weaning, and while the microbiota of synchronous cross-fostered pups resembled the microbiota of their foster dam, the microbiota of ASF mice was different from both their foster dam and the healthy microbiota seen in weanling mice. ACF mice had a significant reduction in bacteroides and firmicute species, species that generally represent the majority of the bacteria within a healthy microbiota, and expansion in prevotella species, which include clinically important opportunistic pathogens, suggesting ACF mice contain a dysbiotic microbiota. Future work will explore and identify what temporally dependent components in breast milk support the development of a healthy microbiota.
Pathologic Response of Associated Ductal Carcinoma In Situ to Neoadjuvant Systemic Therapy: A Systematic Review
Wazir, Umar , Balalaa, Nahed , Mokbel, Kefah , Patani, Neill

Cancers | December 21, 2022 | Volume: 15 | Issue: 1 | Pages: 13

10.3390/cancers15010013 | PMID 36612009 Get It

Contrary to traditional assumptions, recent evidence suggests that neoadjuvant systemic therapy (NST) given for invasive breast cancer may eradicate co-existent ductal carcinoma in-situ (DCIS), which may facilitate de-escalation of breast resections. The aim of this systematic review was to assess the eradication rate of DCIS by NST given for invasive breast cancer. Searches were performed in MEDLINE using appropriate search terms. Six studies (N = 659) in which pathological data were available regarding the presence of DCIS prior to neoadjuvant chemotherapy (NACT) were identified. Only one study investigating the impact of neoadjuvant endocrine therapy (NET) met the search criteria. After pooled analysis, post-NACT pathology showed no residual DCIS in 40.5% of patients (267/659; 95% CI: 36.8–44.3). There was no significant difference in DCIS eradication rate between triple negative breast cancer (TNBC) and HER2-positive disease (45% vs. 46% respectively). NET achieved eradication of DCIS in 15% of patients (9/59). Importantly, residual widespread micro-calcifications after NST did not necessarily indicate residual disease. In view of the results of the pooled analysis, the presence of extensive DCIS prior to NST should not mandate mastectomy and de-escalation to breast conserving surgery (BCS) should be considered in patients identified by contrast enhanced magnetic resonance imaging (CE-MRI).