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For: Karampinos DC, Ruschke S, Dieckmeyer M, Diefenbach M, Franz D, Gersing AS, Krug R, Baum T. Quantitative MRI and spectroscopy of bone marrow. J Magn Reson Imaging 2018;47:332-53. [PMID: 28570033 DOI: 10.1002/jmri.25769] [Cited by in Crossref: 90] [Cited by in F6Publishing: 77] [Article Influence: 18.0] [Reference Citation Analysis]
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1 Krug R, Joseph GB, Han M, Fields A, Cheung J, Mundada M, Bailey J, Rochette A, Ballatori A, McCulloch CE, McCormick Z, O'Neill C, Link TM, Lotz J. Associations between vertebral body fat fraction and intervertebral disc biochemical composition as assessed by quantitative MRI. J Magn Reson Imaging 2019;50:1219-26. [PMID: 30701594 DOI: 10.1002/jmri.26675] [Cited by in Crossref: 7] [Cited by in F6Publishing: 5] [Article Influence: 2.3] [Reference Citation Analysis]
2 Jung M, Karampinos DC, Holwein C, Suchowierski J, Diallo TD, Gersing AS, Bamberg F, Baumann FA, Ruschke S, Jungmann PM. Quantitative 3-T Magnetic Resonance Imaging After Matrix-Associated Autologous Chondrocyte Implantation With Autologous Bone Grafting of the Knee: The Importance of Subchondral Bone Parameters. Am J Sports Med 2021;49:476-86. [PMID: 33427489 DOI: 10.1177/0363546520980134] [Cited by in Crossref: 2] [Cited by in F6Publishing: 1] [Article Influence: 2.0] [Reference Citation Analysis]
3 Jarraya M, Bredella MA. Clinical imaging of marrow adiposity. Best Practice & Research Clinical Endocrinology & Metabolism 2021;35:101511. [DOI: 10.1016/j.beem.2021.101511] [Cited by in Crossref: 2] [Cited by in F6Publishing: 1] [Article Influence: 2.0] [Reference Citation Analysis]
4 Schmeel FC, Enkirch SJ, Luetkens JA, Faron A, Lehnen N, Sprinkart AM, Schmeel LC, Radbruch A, Attenberger U, Kukuk GM, Mürtz P. Diagnostic Accuracy of Quantitative Imaging Biomarkers in the Differentiation of Benign and Malignant Vertebral Lesions : Combination of Diffusion-Weighted and Proton Density Fat Fraction Spine MRI. Clin Neuroradiol 2021. [PMID: 33787957 DOI: 10.1007/s00062-021-01009-1] [Reference Citation Analysis]
5 Schmeel FC, Lakghomi A, Lehnen NC, Haase R, Banat M, Wach J, Handke N, Vatter H, Radbruch A, Attenberger U, Luetkens JA. Proton Density Fat Fraction Spine MRI for Differentiation of Erosive Vertebral Endplate Degeneration and Infectious Spondylitis. Diagnostics 2022;12:78. [DOI: 10.3390/diagnostics12010078] [Reference Citation Analysis]
6 Lee SH, Yoo HJ, Yu SM, Hong SH, Choi JY, Chae HD. Fat Quantification in the Vertebral Body: Comparison of Modified Dixon Technique with Single-Voxel Magnetic Resonance Spectroscopy. Korean J Radiol 2019;20:126-33. [PMID: 30627028 DOI: 10.3348/kjr.2018.0174] [Cited by in Crossref: 9] [Cited by in F6Publishing: 7] [Article Influence: 2.3] [Reference Citation Analysis]
7 Su GY, Wang CB, Hu H, Liu J, Ding HY, Xu XQ, Wu FY. Effect of laterality, gender, age and body mass index on the fat fraction of salivary glands in healthy volunteers: assessed using iterative decomposition of water and fat with echo asymmetry and least-squares estimation method. Dentomaxillofac Radiol 2019;48:20180263. [PMID: 30306806 DOI: 10.1259/dmfr.20180263] [Cited by in Crossref: 4] [Cited by in F6Publishing: 4] [Article Influence: 1.0] [Reference Citation Analysis]
8 Nishimura DA, Choi IGG, Arita ES, Cortes ARG. Estimating bone mineral density using MRI in medicine and dentistry: a literature review. Oral Radiol 2021;37:366-75. [PMID: 32930913 DOI: 10.1007/s11282-020-00484-5] [Reference Citation Analysis]
9 Dieckmeyer M, Ruschke S, Rohrmeier A, Syväri J, Einspieler I, Seifert-Klauss V, Schmidmayr M, Metz S, Kirschke JS, Rummeny EJ, Zimmer C, Karampinos DC, Baum T. Vertebral bone marrow fat fraction changes in postmenopausal women with breast cancer receiving combined aromatase inhibitor and bisphosphonate therapy. BMC Musculoskelet Disord 2019;20:515. [PMID: 31694630 DOI: 10.1186/s12891-019-2916-2] [Cited by in Crossref: 2] [Cited by in F6Publishing: 2] [Article Influence: 0.7] [Reference Citation Analysis]
10 Pei XJ, Lian YF, Yan YC, Jiang T, Liu AJ, Shi QL, Pan ZY. Fat fraction quantification of lumbar spine: comparison of T1-weighted two-point Dixon and single-voxel magnetic resonance spectroscopy in diagnosis of multiple myeloma. Diagn Interv Radiol 2020;26:492-7. [PMID: 32755881 DOI: 10.5152/dir.2020.19401] [Cited by in Crossref: 1] [Cited by in F6Publishing: 1] [Article Influence: 1.0] [Reference Citation Analysis]
11 Liu Z, Zhang Y, Liu Z, Kong J, Huang D, Zhang X, Jiang Y. Dual-Energy Computed Tomography Virtual Noncalcium Technique in Diagnosing Osteoporosis: Correlation With Quantitative Computed Tomography. J Comput Assist Tomogr 2021;45:452-7. [PMID: 34297514 DOI: 10.1097/RCT.0000000000001168] [Reference Citation Analysis]
12 Swamy A, Burström G, Spliethoff JW, Babic D, Ruschke S, Racadio JM, Edström E, Terander AE, Dankelman J, Hendriks BHW. Validation of diffuse reflectance spectroscopy with magnetic resonance imaging for accurate vertebral bone fat fraction quantification. Biomed Opt Express 2019;10:4316-28. [PMID: 31453013 DOI: 10.1364/BOE.10.004316] [Cited by in Crossref: 5] [Cited by in F6Publishing: 4] [Article Influence: 1.7] [Reference Citation Analysis]
13 Colombo A, Bombelli L, Summers PE, Saia G, Zugni F, Marvaso G, Grimm R, Jereczek-Fossa BA, Padhani AR, Petralia G. Effects of Sex and Age on Fat Fraction, Diffusion-Weighted Image Signal Intensity and Apparent Diffusion Coefficient in the Bone Marrow of Asymptomatic Individuals: A Cross-Sectional Whole-Body MRI Study. Diagnostics (Basel) 2021;11:913. [PMID: 34065459 DOI: 10.3390/diagnostics11050913] [Cited by in Crossref: 1] [Cited by in F6Publishing: 1] [Article Influence: 1.0] [Reference Citation Analysis]
14 Lee JH, Park S. Differentiation of Schmorl Nodes From Bone Metastases of the Spine: Use of Apparent Diffusion Coefficient Derived From DWI and Fat Fraction Derived From a Dixon Sequence. American Journal of Roentgenology 2019;213:W228-35. [DOI: 10.2214/ajr.18.21003] [Cited by in Crossref: 5] [Cited by in F6Publishing: 2] [Article Influence: 1.7] [Reference Citation Analysis]
15 Zbýň Š, Santiago C, Johnson CP, Ludwig KD, Zhang L, Marette S, Tompkins MA, Nelson BJ, Takahashi T, Metzger GJ, Carlson CS, Ellermann JM. Compositional evaluation of lesion and parent bone in patients with juvenile osteochondritis dissecans of the knee using T2 * mapping. J Orthop Res 2021. [PMID: 34637164 DOI: 10.1002/jor.25187] [Reference Citation Analysis]
16 Burian E, Sollmann N, Mei K, Dieckmeyer M, Juncker D, Löffler M, Greve T, Zimmer C, Kirschke JS, Baum T, Noël PB. Low-dose MDCT: evaluation of the impact of systematic tube current reduction and sparse sampling on quantitative paraspinal muscle assessment. Quant Imaging Med Surg 2021;11:3042-50. [PMID: 34249633 DOI: 10.21037/qims-20-1220] [Reference Citation Analysis]
17 Koivisto J, van Eijnatten M, Ludlow J, Kiljunen T, Shi XQ, Wolff J. Comparative dosimetry of radiography device, MSCT device and two CBCT devices in the elbow region. J Appl Clin Med Phys 2021;22:128-38. [PMID: 33811787 DOI: 10.1002/acm2.13245] [Reference Citation Analysis]
18 Burian E, Syväri J, Holzapfel C, Drabsch T, Kirschke JS, Rummeny EJ, Zimmer C, Hauner H, Karampinos DC, Baum T, Franz D. Gender- and Age-Related Changes in Trunk Muscle Composition Using Chemical Shift Encoding-Based Water⁻Fat MRI. Nutrients 2018;10:E1972. [PMID: 30551614 DOI: 10.3390/nu10121972] [Cited by in Crossref: 11] [Cited by in F6Publishing: 12] [Article Influence: 2.8] [Reference Citation Analysis]
19 Soldati E, Rossi F, Vicente J, Guenoun D, Pithioux M, Iotti S, Malucelli E, Bendahan D. Survey of MRI Usefulness for the Clinical Assessment of Bone Microstructure. Int J Mol Sci 2021;22:2509. [PMID: 33801539 DOI: 10.3390/ijms22052509] [Cited by in Crossref: 1] [Cited by in F6Publishing: 1] [Article Influence: 1.0] [Reference Citation Analysis]
20 Van Nieuwenhove S, Van Damme J, Padhani AR, Vandecaveye V, Tombal B, Wuts J, Pasoglou V, Lecouvet FE. Whole-body magnetic resonance imaging for prostate cancer assessment: Current status and future directions. J Magn Reson Imaging 2020. [PMID: 33382151 DOI: 10.1002/jmri.27485] [Cited by in Crossref: 1] [Article Influence: 0.5] [Reference Citation Analysis]
21 Gascho D, Richter H, Karampinos DC, Heimer J, Schaerli S, Thali MJ, Zoelch N. Noninvasive in situ proton MRS in muscle tissue and bone marrow as a novel approach to identify previous freezing in a completely thawed cadaver. NMR Biomed 2020;33:e4220. [PMID: 31774230 DOI: 10.1002/nbm.4220] [Reference Citation Analysis]
22 Samet JD, Deng J, Schafernak K, Arva NC, Lin X, Peevey J, Fayad LM. Quantitative magnetic resonance imaging for determining bone marrow fat fraction at 1.5 T and 3.0 T: a technique to noninvasively assess cellularity and potential malignancy of the bone marrow. Pediatr Radiol 2021;51:94-102. [PMID: 32889585 DOI: 10.1007/s00247-020-04809-8] [Cited by in Crossref: 1] [Article Influence: 0.5] [Reference Citation Analysis]
23 Momeni M, Asadzadeh M, Mowla K, Hanafi MG, Gharibvand MM, Sahraeizadeh A. Sensitivity and specificity assessment of DWI and ADC for the diagnosis of osteoporosis in postmenopausal patients. Radiol Med 2020;125:68-74. [PMID: 31531809 DOI: 10.1007/s11547-019-01080-2] [Cited by in Crossref: 3] [Cited by in F6Publishing: 2] [Article Influence: 1.0] [Reference Citation Analysis]
24 Berardo S, Sukhovei L, Andorno S, Carriero A, Stecco A. Quantitative bone marrow magnetic resonance imaging through apparent diffusion coefficient and fat fraction in multiple myeloma patients. Radiol Med 2021;126:445-52. [PMID: 32812173 DOI: 10.1007/s11547-020-01258-z] [Cited by in Crossref: 4] [Cited by in F6Publishing: 3] [Article Influence: 2.0] [Reference Citation Analysis]
25 Wu M, Junker D, Branca RT, Karampinos DC. Magnetic Resonance Imaging Techniques for Brown Adipose Tissue Detection. Front Endocrinol (Lausanne) 2020;11:421. [PMID: 32849257 DOI: 10.3389/fendo.2020.00421] [Cited by in Crossref: 5] [Cited by in F6Publishing: 3] [Article Influence: 2.5] [Reference Citation Analysis]
26 Ribeiro P, Leitão L, Monteiro AC, Bortolin A, Moura B, Lamghari M, Neto E. Microfluidic-based models to address the bone marrow metastatic niche complexity. Semin Cell Dev Biol 2021;112:27-36. [PMID: 32513499 DOI: 10.1016/j.semcdb.2020.05.015] [Cited by in Crossref: 1] [Cited by in F6Publishing: 1] [Article Influence: 0.5] [Reference Citation Analysis]
27 Singhal V, Karzar NH, Bose A, Buckless C, Ackerman KE, Bredella MA, Klibanski A, Misra M. Changes in marrow adipose tissue in relation to changes in bone parameters following estradiol replacement in adolescent and young adult females with functional hypothalamic amenorrhea. Bone 2021;145:115841. [PMID: 33418100 DOI: 10.1016/j.bone.2021.115841] [Reference Citation Analysis]
28 Fields AJ, Battié MC, Herzog RJ, Jarvik JG, Krug R, Link TM, Lotz JC, O'Neill CW, Sharma A; ISSLS Degenerative Spinal Phenotypes Group. Measuring and reporting of vertebral endplate bone marrow lesions as seen on MRI (Modic changes): recommendations from the ISSLS Degenerative Spinal Phenotypes Group. Eur Spine J 2019;28:2266-74. [PMID: 31446492 DOI: 10.1007/s00586-019-06119-6] [Cited by in Crossref: 17] [Cited by in F6Publishing: 10] [Article Influence: 5.7] [Reference Citation Analysis]
29 Nadeem MW, Goh HG, Ali A, Hussain M, Khan MA, Ponnusamy VA. Bone Age Assessment Empowered with Deep Learning: A Survey, Open Research Challenges and Future Directions. Diagnostics (Basel) 2020;10:E781. [PMID: 33022947 DOI: 10.3390/diagnostics10100781] [Cited by in Crossref: 3] [Cited by in F6Publishing: 3] [Article Influence: 1.5] [Reference Citation Analysis]
30 Tratwal J, Labella R, Bravenboer N, Kerckhofs G, Douni E, Scheller EL, Badr S, Karampinos DC, Beck-Cormier S, Palmisano B, Poloni A, Moreno-Aliaga MJ, Fretz J, Rodeheffer MS, Boroumand P, Rosen CJ, Horowitz MC, van der Eerden BCJ, Veldhuis-Vlug AG, Naveiras O. Reporting Guidelines, Review of Methodological Standards, and Challenges Toward Harmonization in Bone Marrow Adiposity Research. Report of the Methodologies Working Group of the International Bone Marrow Adiposity Society. Front Endocrinol (Lausanne) 2020;11:65. [PMID: 32180758 DOI: 10.3389/fendo.2020.00065] [Cited by in Crossref: 12] [Cited by in F6Publishing: 10] [Article Influence: 6.0] [Reference Citation Analysis]
31 Lins CF, Salmon CEG, de Souza LA, Moraes RS, Silva-Pinto AC, Matos MA, Nogueira-Barbosa MH. Six-point DIXON and Magnetic Resonance Spectroscopy Techniques in Quantifying Bone Marrow Fat in Sickle Cell Disease. Acad Radiol 2021:S1076-6332(21)00276-2. [PMID: 34257024 DOI: 10.1016/j.acra.2021.06.006] [Reference Citation Analysis]
32 Chiarilli MG, Delli Pizzi A, Mastrodicasa D, Febo MP, Cardinali B, Consorte B, Cifaratti A, Panara V, Caulo M, Cannataro G. Bone marrow magnetic resonance imaging: physiologic and pathologic findings that radiologist should know. Radiol Med 2021;126:264-76. [PMID: 32557107 DOI: 10.1007/s11547-020-01239-2] [Cited by in Crossref: 1] [Cited by in F6Publishing: 1] [Article Influence: 0.5] [Reference Citation Analysis]
33 Degnan AJ, Ho-Fung VM, Ahrens-Nicklas RC, Barrera CA, Serai SD, Wang DJ, Ficicioglu C. Imaging of non-neuronopathic Gaucher disease: recent advances in quantitative imaging and comprehensive assessment of disease involvement. Insights Imaging 2019;10:70. [PMID: 31289964 DOI: 10.1186/s13244-019-0743-5] [Cited by in Crossref: 6] [Cited by in F6Publishing: 3] [Article Influence: 2.0] [Reference Citation Analysis]
34 Sollmann N, Löffler MT, Kronthaler S, Böhm C, Dieckmeyer M, Ruschke S, Kirschke JS, Carballido-Gamio J, Karampinos DC, Krug R, Baum T. MRI-Based Quantitative Osteoporosis Imaging at the Spine and Femur. J Magn Reson Imaging 2021;54:12-35. [PMID: 32584496 DOI: 10.1002/jmri.27260] [Cited by in Crossref: 5] [Cited by in F6Publishing: 5] [Article Influence: 2.5] [Reference Citation Analysis]
35 Jeon KJ, Lee C, Choi YJ, Han SS. Assessment of bone marrow fat fractions in the mandibular condyle head using the iterative decomposition of water and fat with echo asymmetry and least-squares estimation (IDEAL-IQ) method. PLoS One 2021;16:e0246596. [PMID: 33635882 DOI: 10.1371/journal.pone.0246596] [Reference Citation Analysis]
36 Fallone CJ, Tessier AG, Yahya A. Fat unsaturation measures in tibial, subcutaneous and breast adipose tissue using short and long TE MRS at 3 T. Magn Reson Imaging 2022;86:61-9. [PMID: 34808305 DOI: 10.1016/j.mri.2021.11.007] [Reference Citation Analysis]
37 Wang J, Yi P, Huang Y, Yu Q, Mei Y, Chen J, Feng Y, Zhang X. Quantitative evaluation of bone marrow fat content and unsaturated fatty index in young male soccer players using proton magnetic resonance spectroscopy (1H-MRS): a preliminary study. Quant Imaging Med Surg 2021;11:4275-86. [PMID: 34603983 DOI: 10.21037/qims-21-64] [Reference Citation Analysis]
38 Yuan W, Lei Y, Tang C, Qin F, Wen J, Li C, Ling M, Huang J, Zhang H, Long L. Quantification of bone marrow edema in rheumatoid arthritis by using high-speed T2-corrected multiecho acquisition of 1H magnetic resonance spectroscopy: a feasibility study. Clin Rheumatol 2021. [PMID: 34155572 DOI: 10.1007/s10067-021-05764-x] [Reference Citation Analysis]
39 Krishnamurthy R, Wang DJJ, Cervantes B, McAllister A, Nelson E, Karampinos DC, Hu HH. Recent Advances in Pediatric Brain, Spine, and Neuromuscular Magnetic Resonance Imaging Techniques. Pediatr Neurol 2019;96:7-23. [PMID: 31023603 DOI: 10.1016/j.pediatrneurol.2019.03.001] [Cited by in Crossref: 4] [Cited by in F6Publishing: 4] [Article Influence: 1.3] [Reference Citation Analysis]
40 Sollmann N, Dieckmeyer M, Schlaeger S, Rohrmeier A, Syvaeri J, Diefenbach MN, Weidlich D, Ruschke S, Klupp E, Franz D, Rummeny EJ, Zimmer C, Kirschke JS, Karampinos DC, Baum T. Associations Between Lumbar Vertebral Bone Marrow and Paraspinal Muscle Fat Compositions-An Investigation by Chemical Shift Encoding-Based Water-Fat MRI. Front Endocrinol (Lausanne) 2018;9:563. [PMID: 30323789 DOI: 10.3389/fendo.2018.00563] [Cited by in Crossref: 9] [Cited by in F6Publishing: 11] [Article Influence: 2.3] [Reference Citation Analysis]
41 Zhang W, Zhu J, Xu X, Fan G. Synthetic MRI of the lumbar spine at 3.0 T: feasibility and image quality comparison with conventional MRI. Acta Radiol 2020;61:461-70. [DOI: 10.1177/0284185119871670] [Cited by in Crossref: 2] [Cited by in F6Publishing: 1] [Article Influence: 0.7] [Reference Citation Analysis]
42 Weidlich D, Honecker J, Gmach O, Wu M, Burgkart R, Ruschke S, Franz D, Menze BH, Skurk T, Hauner H, Kulozik U, Karampinos DC. Measuring large lipid droplet sizes by probing restricted lipid diffusion effects with diffusion-weighted MRS at 3T. Magn Reson Med 2019;81:3427-39. [PMID: 30652361 DOI: 10.1002/mrm.27651] [Cited by in Crossref: 7] [Cited by in F6Publishing: 5] [Article Influence: 2.3] [Reference Citation Analysis]
43 Ruschke S, Karampinos DC. Single-voxel short-TR multi-TI multi-TE STEAM MRS for water-fat relaxometry. Magn Reson Med 2022. [PMID: 35014731 DOI: 10.1002/mrm.29157] [Reference Citation Analysis]
44 Bani Hassan E, Ghasem-Zadeh A, Imani M, Kutaiba N, Wright DK, Sepehrizadeh T, Duque G. Bone Marrow Adipose Tissue Quantification by Imaging. Curr Osteoporos Rep 2019;17:416-28. [PMID: 31713178 DOI: 10.1007/s11914-019-00539-5] [Cited by in Crossref: 3] [Cited by in F6Publishing: 3] [Article Influence: 1.5] [Reference Citation Analysis]
45 Degnan AJ, Ho-Fung VM, Wang DJ, Ficicioglu C, Jaramillo D. Gaucher disease status and treatment assessment: pilot study using magnetic resonance spectroscopy bone marrow fat fractions in pediatric patients. Clin Imaging 2020;63:1-6. [PMID: 32120306 DOI: 10.1016/j.clinimag.2020.02.009] [Cited by in Crossref: 2] [Cited by in F6Publishing: 1] [Article Influence: 1.0] [Reference Citation Analysis]
46 Ji Y, Hong W, Liu M, Liang Y, Deng Y, Ma L. Intervertebral disc degeneration associated with vertebral marrow fat, assessed using quantitative magnetic resonance imaging. Skeletal Radiol 2020;49:1753-63. [PMID: 32468097 DOI: 10.1007/s00256-020-03419-7] [Cited by in Crossref: 1] [Cited by in F6Publishing: 1] [Article Influence: 0.5] [Reference Citation Analysis]
47 Badr S, Legroux-Gérot I, Vignau J, Chauveau C, Ruschke S, Karampinos DC, Budzik JF, Cortet B, Cotten A. Comparison of regional bone marrow adiposity characteristics at the hip of underweight and weight-recovered women with anorexia nervosa using magnetic resonance spectroscopy. Bone 2019;127:135-45. [PMID: 31146035 DOI: 10.1016/j.bone.2019.05.033] [Cited by in Crossref: 6] [Cited by in F6Publishing: 6] [Article Influence: 2.0] [Reference Citation Analysis]
48 Codari M, Zanardo M, di Sabato ME, Nocerino E, Messina C, Sconfienza LM, Sardanelli F. MRI-Derived Biomarkers Related to Sarcopenia: A Systematic Review. J Magn Reson Imaging 2020;51:1117-27. [PMID: 31515891 DOI: 10.1002/jmri.26931] [Cited by in Crossref: 6] [Cited by in F6Publishing: 8] [Article Influence: 2.0] [Reference Citation Analysis]
49 Cai Z, Tao Q, Scotti A, Yi P, Feng Y, Cai K. Early detection of increased marrow adiposity with age in rats using Z-spectral MRI at ultra-high field (7 T). NMR Biomed 2021;:e4633. [PMID: 34658086 DOI: 10.1002/nbm.4633] [Reference Citation Analysis]
50 Ruschke S, Syväri J, Dieckmeyer M, Junker D, Makowski MR, Baum T, Karampinos DC. Physiological variation of the vertebral bone marrow water T2 relaxation time. NMR Biomed 2021;34:e4439. [PMID: 33205520 DOI: 10.1002/nbm.4439] [Cited by in Crossref: 1] [Cited by in F6Publishing: 2] [Article Influence: 0.5] [Reference Citation Analysis]
51 García-Figueiras R, Baleato-González S, Padhani AR, Luna-Alcalá A, Vallejo-Casas JA, Sala E, Vilanova JC, Koh DM, Herranz-Carnero M, Vargas HA. How clinical imaging can assess cancer biology. Insights Imaging 2019;10:28. [PMID: 30830470 DOI: 10.1186/s13244-019-0703-0] [Cited by in Crossref: 29] [Cited by in F6Publishing: 22] [Article Influence: 9.7] [Reference Citation Analysis]
52 Martel D, Saxena A, Belmont HM, Honig S, Chang G. Fatty Acid Composition of Proximal Femur Bone Marrow Adipose Tissue in Subjects With Systemic Lupus Erythematous Using 3 T Magnetic Resonance Spectroscopy. J Magn Reson Imaging 2021. [PMID: 34964533 DOI: 10.1002/jmri.28038] [Reference Citation Analysis]
53 Pattira B. Editorial for "Marrow Fat Content and Composition in β-thalassemia: A Study Using 1 H-MRS". J Magn Reson Imaging 2021;53:199-200. [PMID: 32827174 DOI: 10.1002/jmri.27305] [Reference Citation Analysis]
54 Jung Y, Jeon SW, Kwack KS, Yun JS, Lee HD, Park S. Differentiation of Vertebral Metastases From Focal Hematopoietic Marrow Depositions on MRI: Added Value of Proton Density Fat Fraction. AJR Am J Roentgenol 2021;216:734-41. [PMID: 33405947 DOI: 10.2214/AJR.19.22698] [Cited by in Crossref: 2] [Article Influence: 2.0] [Reference Citation Analysis]
55 Lundbom J, Bierwagen A, Bodis K, Apostolopoulou M, Szendroedi J, Müssig K, Hwang J, Roden M. 1H-MRS of femoral red and yellow bone marrow fat composition and water content in healthy young men and women at 3 T. Magn Reson Mater Phy 2019;32:591-7. [DOI: 10.1007/s10334-019-00750-6] [Cited by in Crossref: 4] [Cited by in F6Publishing: 2] [Article Influence: 1.3] [Reference Citation Analysis]
56 Cao J, Gao S, Zhang C, Zhang Y, Sun W, Cui L. Differentiating atypical hemangiomas and vertebral metastases: a field-of-view (FOV) and FOCUS intravoxel incoherent motion (IVIM) diffusion-weighted imaging (DWI) study. Eur Spine J 2020;29:3187-93. [PMID: 33078268 DOI: 10.1007/s00586-020-06632-z] [Cited by in Crossref: 2] [Cited by in F6Publishing: 2] [Article Influence: 1.0] [Reference Citation Analysis]
57 Gassert FT, Kufner A, Gassert FG, Leonhardt Y, Kronthaler S, Schwaiger BJ, Boehm C, Makowski MR, Kirschke JS, Baum T, Karampinos DC, Gersing AS. MR-based proton density fat fraction (PDFF) of the vertebral bone marrow differentiates between patients with and without osteoporotic vertebral fractures. Osteoporos Int 2021. [PMID: 34537863 DOI: 10.1007/s00198-021-06147-3] [Cited by in Crossref: 1] [Article Influence: 1.0] [Reference Citation Analysis]
58 Hirahara N, Muraoka H, Ito K, Sawada E, Okada S, Komatsu T, Kondo T, Kaneda T. Quantitative assessment of the mandibular condyle in patients with diabetes mellitus using diffusion-weighted magnetic resonance imaging. Oral Radiol 2022. [PMID: 35025057 DOI: 10.1007/s11282-021-00585-9] [Reference Citation Analysis]
59 Gaeta M, Cavallaro M, Vinci SL, Mormina E, Blandino A, Marino MA, Granata F, Tessitore A, Galletta K, D'Angelo T, Visalli C. Magnetism of materials: theory and practice in magnetic resonance imaging. Insights Imaging 2021;12:179. [PMID: 34862955 DOI: 10.1186/s13244-021-01125-z] [Reference Citation Analysis]
60 Burian E, Syväri J, Dieckmeyer M, Holzapfel C, Drabsch T, Sollmann N, Kirschke JS, Rummeny EJ, Zimmer C, Hauner H, Karampinos DC, Baum T, Junker D. Age- and BMI-related variations of fat distribution in sacral and lumbar bone marrow and their association with local muscle fat content. Sci Rep 2020;10:9686. [PMID: 32546722 DOI: 10.1038/s41598-020-66649-8] [Cited by in Crossref: 1] [Article Influence: 0.5] [Reference Citation Analysis]
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