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Showing results for sasha r
Search for Sascha R instead (1 results)
Large-scale association analyses identify host factors influencing human gut microbiome composition.
Kurilshikov A, Medina-Gomez C, Bacigalupe R, Radjabzadeh D, Wang J, Demirkan A, Le Roy CI, Raygoza Garay JA, Finnicum CT, Liu X, Zhernakova DV, Bonder MJ, Hansen TH, Frost F, Rühlemann MC, Turpin W, Moon JY, Kim HN, Lüll K, Barkan E, Shah SA, Fornage M, Szopinska-Tokov J, Wallen ZD, Borisevich D, Agreus L, Andreasson A, Bang C, Bedrani L, Bell JT, Bisgaard H, Boehnke M, Boomsma DI, Burk RD, Claringbould A, Croitoru K, Davies GE, van Duijn CM, Duijts L, Falony G, Fu J, van der Graaf A, Hansen T, Homuth G, Hughes DA, Ijzerman RG, Jackson MA, Jaddoe VWV, Joossens M, Jørgensen T, Keszthelyi D, Knight R, Laakso M, Laudes M, Launer LJ, Lieb W, Lusis AJ, Masclee AAM, Moll HA, Mujagic Z, Qibin Q, Rothschild D, Shin H, Sørensen SJ, Steves CJ, Thorsen J, Timpson NJ, Tito RY, Vieira-Silva S, Völker U, Völzke H, Võsa U, Wade KH, Walter S, Watanabe K, Weiss S, Weiss FU, Weissbrod O, Westra HJ, Willemsen G, Payami H, Jonkers DMAE, Arias Vasquez A, de Geus EJC, Meyer KA, Stokholm J, Segal E, Org E, Wijmenga C, Kim HL, Kaplan RC, Spector TD, Uitterlinden AG, Rivadeneira F, Franke A, Lerch MM, Franke L, Sanna S, D'Amato M, Pedersen O, Paterson AD, Kraaij R, Raes J, Zhernakova A. Kurilshikov A, et al. Nat Genet. 2021 Feb;53(2):156-165. doi: 10.1038/s41588-020-00763-1. Epub 2021 Jan 18. Nat Genet. 2021. PMID: 33462485 Free PMC article.
Environmental factors shaping the gut microbiome in a Dutch population.
Gacesa R, Kurilshikov A, Vich Vila A, Sinha T, Klaassen MAY, Bolte LA, Andreu-Sánchez S, Chen L, Collij V, Hu S, Dekens JAM, Lenters VC, Björk JR, Swarte JC, Swertz MA, Jansen BH, Gelderloos-Arends J, Jankipersadsing S, Hofker M, Vermeulen RCH, Sanna S, Harmsen HJM, Wijmenga C, Fu J, Zhernakova A, Weersma RK. Gacesa R, et al. Nature. 2022 Apr;604(7907):732-739. doi: 10.1038/s41586-022-04567-7. Epub 2022 Apr 13. Nature. 2022. PMID: 35418674
Improved accuracy and precision with three-parameter simultaneous myocardial T(1) and T(2) mapping using multiparametric SASHA.
Chow K, Hayes G, Flewitt JA, Feuchter P, Lydell C, Howarth A, Pagano JJ, Thompson RB, Kellman P, White JA. Chow K, et al. Magn Reson Med. 2022 Jun;87(6):2775-2791. doi: 10.1002/mrm.29170. Epub 2022 Feb 8. Magn Reson Med. 2022. PMID: 35133018
It was validated in simulations and phantoms at 3 T with comparison to a four-parameter joint T(1) -T(2) technique. The mSASHA acquisition was compared with MOLLI, SASHA, and T(2) -prepared balanced SSFP in 10 volunteers. RESULTS: The mSASHA technique had high accuracy in …
It was validated in simulations and phantoms at 3 T with comparison to a four-parameter joint T(1) -T(2) technique. The mSASHA acquisition w …
Comparison of MOLLI, shMOLLLI, and SASHA in discrimination between health and disease and relationship with histologically derived collagen volume fraction.
Child N, Suna G, Dabir D, Yap ML, Rogers T, Kathirgamanathan M, Arroyo-Ucar E, Hinojar R, Mahmoud I, Young C, Wendler O, Mayr M, Sandhu B, Morton G, Muhly-Reinholz M, Dimmeler S, Nagel E, Puntmann VO. Child N, et al. Eur Heart J Cardiovasc Imaging. 2018 Jul 1;19(7):768-776. doi: 10.1093/ehjci/jex309. Eur Heart J Cardiovasc Imaging. 2018. PMID: 29237044
Myocardial native T1 with MOLLI and shMOLLI showed, firstly, an excellent discriminatory accuracy between health and disease [area under the curves (P-value): 0.94 (0.88-0.99); 0.87 (0.79-0.94); 0.61 (0.49-0.72)], secondly, relationship between histological CVF [native T1 MOLLI v …
Myocardial native T1 with MOLLI and shMOLLI showed, firstly, an excellent discriminatory accuracy between health and disease [area under the …
Water-fat Dixon cardiac magnetic resonance fingerprinting.
Jaubert O, Cruz G, Bustin A, Schneider T, Lavin B, Koken P, Hajhosseiny R, Doneva M, Rueckert D, Botnar RM, Prieto C. Jaubert O, et al. Magn Reson Med. 2020 Jun;83(6):2107-2123. doi: 10.1002/mrm.28070. Epub 2019 Nov 18. Magn Reson Med. 2020. PMID: 31736146 Free PMC article.
Good agreement was also observed between Dixon-cMRF FF and reference PDFF (R(2) > 0.99) and between Dixon-cMRF water T(1) and T(2) and water selective T(1) and T(2) maps (R(2) > 0.99) in a water-fat phantom. ...Dixon-cMRF FF maps showed good agreement with in …
Good agreement was also observed between Dixon-cMRF FF and reference PDFF (R(2) > 0.99) and between Dixon-cMRF water T(1) and T(2) …
Accuracy, precision, and reproducibility of four T1 mapping sequences: a head-to-head comparison of MOLLI, ShMOLLI, SASHA, and SAPPHIRE.
Roujol S, Weingärtner S, Foppa M, Chow K, Kawaji K, Ngo LH, Kellman P, Manning WJ, Thompson RB, Nezafat R. Roujol S, et al. Radiology. 2014 Sep;272(3):683-9. doi: 10.1148/radiol.14140296. Epub 2014 Apr 4. Radiology. 2014. PMID: 24702727 Free PMC article.

RESULTS: T1 mapping accuracy in phantoms was lower with ShMOLLI (62 msec) and MOLLI (44 msec) than with SASHA (13 msec; P < .05) and SAPPHIRE (12 msec; P < .05). MOLLI had similar precision to ShMOLLI (4.0 msec vs 5.6 msec; P = .07) but higher precision than SAPPHIRE

RESULTS: T1 mapping accuracy in phantoms was lower with ShMOLLI (62 msec) and MOLLI (44 msec) than with SASHA (13 msec; P < .05) a

Bright-blood and dark-blood phase sensitive inversion recovery late gadolinium enhancement and T1 and T2 maps in a single free-breathing scan: an all-in-one approach.
Kellman P, Xue H, Chow K, Howard J, Chacko L, Cole G, Fontana M. Kellman P, et al. J Cardiovasc Magn Reson. 2021 Nov 8;23(1):126. doi: 10.1186/s12968-021-00823-3. J Cardiovasc Magn Reson. 2021. PMID: 34743718 Free PMC article.
The objective of this work is to provide a calculated bright-blood (BB) and dark-blood (DB) LGE based on simultaneous acquisition of T1 and T2 maps, so that both diffuse and focal disease may be assessed within a single multi-parametric acquisition. METHODS: The prototype saturat …
The objective of this work is to provide a calculated bright-blood (BB) and dark-blood (DB) LGE based on simultaneous acquisition of T1 and …
Optometrist's perspectives of Artificial Intelligence in eye care.
Scanzera AC, Shorter E, Kinnaird C, Valikodath N, Al-Khaled T, Cole E, Kravets S, Hallak JA, McMahon T, Chan RVP. Scanzera AC, et al. J Optom. 2022;15 Suppl 1(Suppl 1):S91-S97. doi: 10.1016/j.optom.2022.06.006. Epub 2022 Sep 20. J Optom. 2022. PMID: 36137899 Free PMC article.
Malignancy in Pediatric-onset Systemic Lupus Erythematosus.
Bernatsky S, Clarke AE, Zahedi Niaki O, Labrecque J, Schanberg LE, Silverman ED, Hayward K, Imundo L, Brunner HI, Haines KA, Cron RQ, Oen K, Wagner-Weiner L, Rosenberg AM, O'Neil KM, Duffy CM, von Scheven E, Joseph L, Lee JL, Ramsey-Goldman R. Bernatsky S, et al. J Rheumatol. 2017 Oct;44(10):1484-1486. doi: 10.3899/jrheum.170179. Epub 2017 Aug 1. J Rheumatol. 2017. PMID: 28765255 Free PMC article.
Effects of age, gender, and risk-factors for heart failure on native myocardial T(1) and extracellular volume fraction using the SASHA sequence at 1.5T.
Pagano JJ, Chow K, Paterson DI, Mikami Y, Schmidt A, Howarth A, White J, Friedrich MG, Oudit GY, Ezekowitz J, Dyck J, Thompson RB. Pagano JJ, et al. J Magn Reson Imaging. 2018 Nov;48(5):1307-1317. doi: 10.1002/jmri.26160. Epub 2018 Jun 13. J Magn Reson Imaging. 2018. PMID: 29897656
FIELD STRENGTH/SEQUENCE: Cardiac MR imaging at 1.5T, including T(1) mapping using the SAturation recovery single-SHot Acquisition (SASHA) sequence. ASSESSMENT: Interventricular septal region-of-interest analysis for assessment of native T1 and ECV. ...No differences existe …
FIELD STRENGTH/SEQUENCE: Cardiac MR imaging at 1.5T, including T(1) mapping using the SAturation recovery single-SHot Acquisition (SASHA
45 results