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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
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 …
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
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 phantoms compared to spin echo, with -0.2 0.3% T(1) error and -2.4 1.3% T(2) error. ...In vivo myocardial mSASHA T(1 …
The mSASHA acquisition was compared with MOLLI, SASHA, and T(2) -prepared balanced SSFP in 10 volunteers. RESULTS: The mSASHA techniq …
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.
Dixon-cMRF was evaluated in a standardized T(1) -T(2) phantom, in a water-fat phantom, and in healthy subjects in comparison to current clinical standards: MOLLI, SASHA, T(2) -GRASE, and 6-point Dixon proton density FF (PDFF) mapping. RESULTS: Dixon-cMRF water T(1) and T(2 …
Dixon-cMRF was evaluated in a standardized T(1) -T(2) phantom, in a water-fat phantom, and in healthy subjects in comparison to current clin …
Free-breathing multi-parametric SASHA (mSASHA) mapping provides reliable non-contrast myocardial characterization in a pediatric and adult congenital population.
Christopher AB, Gurijala N, Cross RR, Olivieri LJ, Chow K. Christopher AB, et al. Int J Cardiovasc Imaging. 2025 Mar;41(3):549-557. doi: 10.1007/s10554-025-03341-w. Epub 2025 Jan 29. Int J Cardiovasc Imaging. 2025. PMID: 39875701
Free-breathing multiparametric SASHA T1 and T2 values were moderately correlated with breath-held MOLLI/T2p-bSSFP (r = 0.52). Importantly free-breathing SASHA-based T1 maps were able to discriminate between patients with late gadolinium enhancement with a sta …
Free-breathing multiparametric SASHA T1 and T2 values were moderately correlated with breath-held MOLLI/T2p-bSSFP (r = 0.52). …
Comparison of the prognostic value of right atrial echocardiographic parameters in pulmonary arterial hypertension.
Mohama D, Worapongsatitaya P, Celestin B, Kazmirczak F, Bagherzadeh SP, Prins KW, Prisco SZ, Weir EK, Zamanian R, Haddad F, Thenappan T. Mohama D, et al. J Heart Lung Transplant. 2025 Aug;44(8):1343-1347. doi: 10.1016/j.healun.2025.03.009. Epub 2025 Mar 20. J Heart Lung Transplant. 2025. PMID: 40120996
RA area correlated strongly with volume (r = 0.96). After adjusting for age and sex, for every 1-standardized unit increase in RA area index, volume index, and major axis dimension, there were 21%, 18%, and 18% higher hazards of mortality or transplant, respectively. ...
RA area correlated strongly with volume (r = 0.96). After adjusting for age and sex, for every 1-standardized unit increase in RA are …
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

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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.
METHODS: The prototype saturation recovery-based SASHA T1 mapping may be modified to jointly calculate T1 and T2 maps (known as multi-parametric SASHA) by acquiring additional saturation recovery (SR) images with both SR and T2 preparations. ...CONCLUSIONS: A single …
METHODS: The prototype saturation recovery-based SASHA T1 mapping may be modified to jointly calculate T1 and T2 maps (known as multi …
55 results