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Items: 1 to 50 of 92

1.

Inter- and intraobserver variability of an anatomical landmark-based, manual segmentation method by MRI for the assessment of skeletal muscle fat content and area in subjects from the general population.

Kiefer LS, Fabian J, Lorbeer R, Machann J, Storz C, Kraus MS, Wintermeyer E, Schlett CL, Roemer F, Nikolaou K, Peters A, Bamberg F.

Br J Radiol. 2018 Apr 16:20180019. doi: 10.1259/bjr.20180019. [Epub ahead of print]

PMID:
29658780
2.

Correlation of MRI-derived adipose tissue measurements and anthropometric markers with prevalent hypertension in the community.

Lorbeer R, Rospleszcz S, Schlett CL, Heber SD, Machann J, Thorand B, Meisinger C, Heier M, Peters A, Bamberg F, Lieb W.

J Hypertens. 2018 Mar 29. doi: 10.1097/HJH.0000000000001741. [Epub ahead of print]

PMID:
29601409
3.

Obesity promotes resistance to anti-VEGF therapy in breast cancer by up-regulating IL-6 and potentially FGF-2.

Incio J, Ligibel JA, McManus DT, Suboj P, Jung K, Kawaguchi K, Pinter M, Babykutty S, Chin SM, Vardam TD, Huang Y, Rahbari NN, Roberge S, Wang D, Gomes-Santos IL, Puchner SB, Schlett CL, Hoffmman U, Ancukiewicz M, Tolaney SM, Krop IE, Duda DG, Boucher Y, Fukumura D, Jain RK.

Sci Transl Med. 2018 Mar 14;10(432). pii: eaag0945. doi: 10.1126/scitranslmed.aag0945.

PMID:
29540614
4.

Phenotypic Multiorgan Involvement of Subclinical Disease as Quantified by Magnetic Resonance Imaging in Subjects With Prediabetes, Diabetes, and Normal Glucose Tolerance.

Storz C, Rospleszcz S, Lorbeer R, Hetterich H, Auweter SD, Sommer W, Machann J, Gatidis S, Rathmann W, Heier M, Linkohr B, Meisinger C, Reiser M, Hoffmann U, Peters A, Schlett CL, Bamberg F.

Invest Radiol. 2018 Feb 28. doi: 10.1097/RLI.0000000000000451. [Epub ahead of print]

PMID:
29494349
5.

The role of visceral and subcutaneous adipose tissue measurements and their ratio by magnetic resonance imaging in subjects with prediabetes, diabetes and healthy controls from a general population without cardiovascular disease.

Storz C, Heber SD, Rospleszcz S, Machann J, Sellner S, Nikolaou K, Lorbeer R, Gatidis S, Elser S, Peters A, Schlett CL, Bamberg F.

Br J Radiol. 2018 Feb 19:20170808. doi: 10.1259/bjr.20170808. [Epub ahead of print]

PMID:
29388794
6.

In vivo characterization of a new type of biodegradable starch microsphere for transarterial embolization.

Sommer CM, Do TD, Schlett CL, Flechsig P, Gockner TL, Kuthning A, Vollherbst DF, Pereira PL, Kauczor HU, Macher-Göppinger S.

J Biomater Appl. 2018 Feb;32(7):932-944. doi: 10.1177/0885328217746674. Epub 2017 Dec 5.

PMID:
29207900
7.

Myocardial tissue characterization by contrast-enhanced cardiac magnetic resonance imaging in subjects with prediabetes, diabetes, and normal controls with preserved ejection fraction from the general population.

Storz C, Hetterich H, Lorbeer R, Heber SD, Schafnitzel A, Patscheider H, Auweter S, Zitzelsberger T, Rathmann W, Nikolaou K, Reiser M, Schlett CL, von Knobelsdorff-Brenkenhoff F, Peters A, Schulz-Menger J, Bamberg F.

Eur Heart J Cardiovasc Imaging. 2017 Jul 26. doi: 10.1093/ehjci/jex190. [Epub ahead of print]

PMID:
28950340
8.

Radiation Exposure During Uterine Fibroid Embolization (UFE): A Confounder-Controlled Comparison Between a State-of-the-Art Angiography Unit and a Conventional Angiography unit.

Sommer CM, Voigt W, Klapp Oliger M, Schlett CL, Erpenbach S, Thomas K, Hatopp A, Kurz P, Richter GM.

Rofo. 2018 Mar;190(3):250-258. doi: 10.1055/s-0043-119036. Epub 2017 Sep 21.

9.

Age- and sex-based resource utilisation and costs in patients with acute chest pain undergoing cardiac CT angiography: pooled evidence from ROMICAT II and ACRIN-PA trials.

Bamberg F, Mayrhofer T, Ferencik M, Bittner DO, Hallett TR, Janjua S, Schlett CL, Nagurney JT, Udelson JE, Truong QA, Woodard PK, Hollander JE, Litt H, Hoffmann U.

Eur Radiol. 2018 Feb;28(2):851-860. doi: 10.1007/s00330-017-4981-y. Epub 2017 Sep 5.

PMID:
28875364
10.

Evaluation of Complication Rates after Breast Surgery Using Acellular Dermal Matrix: Median Follow-Up of Three Years.

Paprottka FJ, Krezdorn N, Sorg H, Könneker S, Bontikous S, Robertson I, Schlett CL, Dohse NK, Hebebrand D.

Plast Surg Int. 2017;2017:1283735. doi: 10.1155/2017/1283735. Epub 2017 Jun 12.

11.

Pancreatic fat content by magnetic resonance imaging in subjects with prediabetes, diabetes, and controls from a general population without cardiovascular disease.

Heber SD, Hetterich H, Lorbeer R, Bayerl C, Machann J, Auweter S, Storz C, Schlett CL, Nikolaou K, Reiser M, Peters A, Bamberg F.

PLoS One. 2017 May 17;12(5):e0177154. doi: 10.1371/journal.pone.0177154. eCollection 2017.

12.

Strengths and limitations of coronary angiography with turbo high-pitch third-generation dual-source CT.

Ochs MM, Andre F, Korosoglou G, Fritz T, Seitz S, Bogomazov Y, Schlett CL, Sokiranski R, Sommer A, Gückel F, Brado M, Kauczor HU, Görich J, Katus HA, Buss SJ.

Clin Radiol. 2017 Sep;72(9):739-744. doi: 10.1016/j.crad.2017.03.010. Epub 2017 Apr 8.

PMID:
28395916
13.

Iterative Image Reconstruction Improves the Accuracy of Automated Plaque Burden Assessment in Coronary CT Angiography: A Comparison With Intravascular Ultrasound.

Puchner SB, Ferencik M, Maehara A, Stolzmann P, Ma S, Do S, Kauczor HU, Mintz GS, Hoffmann U, Schlett CL.

AJR Am J Roentgenol. 2017 Apr;208(4):777-784. doi: 10.2214/AJR.16.17187. Epub 2017 Feb 8.

PMID:
28177655
14.

Limits of the possible: diagnostic image quality in coronary angiography with third-generation dual-source CT.

Ochs MM, Siepen FAD, Fritz T, Andre F, Gitsioudis G, Korosoglou G, Seitz S, Bogomazov Y, Schlett CL, Sokiranski R, Sommer A, Gückel F, Brado M, Kauczor HU, Görich J, Friedrich MGW, Katus HA, Buss SJ.

Clin Res Cardiol. 2017 Jul;106(7):485-492. doi: 10.1007/s00392-017-1077-2. Epub 2017 Feb 6.

PMID:
28168514
15.

Subclinical Disease Burden as Assessed by Whole-Body MRI in Subjects With Prediabetes, Subjects With Diabetes, and Normal Control Subjects From the General Population: The KORA-MRI Study.

Bamberg F, Hetterich H, Rospleszcz S, Lorbeer R, Auweter SD, Schlett CL, Schafnitzel A, Bayerl C, Schindler A, Saam T, Müller-Peltzer K, Sommer W, Zitzelsberger T, Machann J, Ingrisch M, Selder S, Rathmann W, Heier M, Linkohr B, Meisinger C, Weber C, Ertl-Wagner B, Massberg S, Reiser MF, Peters A.

Diabetes. 2017 Jan;66(1):158-169. doi: 10.2337/db16-0630. Epub 2016 Oct 10.

16.

The effects of intermittent calorie restriction on metabolic health: Rationale and study design of the HELENA Trial.

Schübel R, Graf ME, Nattenmüller J, Nabers D, Sookthai D, Gruner LF, Johnson T, Schlett CL, von Stackelberg O, Kirsten R, Habermann N, Kratz M, Kauczor HU, Ulrich CM, Kaaks R, Kühn T.

Contemp Clin Trials. 2016 Nov;51:28-33. doi: 10.1016/j.cct.2016.09.004. Epub 2016 Sep 28.

PMID:
27687742
17.

Whole-body MRI in patients with Non-bacterial Osteitis: Radiological findings and correlation with clinical data.

Arnoldi AP, Schlett CL, Douis H, Geyer LL, Voit AM, Bleisteiner F, Jansson AF, Weckbach S.

Eur Radiol. 2017 Jun;27(6):2391-2399. doi: 10.1007/s00330-016-4586-x. Epub 2016 Sep 23.

PMID:
27663226
18.

Population-Based Imaging and Radiomics: Rationale and Perspective of the German National Cohort MRI Study.

Schlett CL, Hendel T, Weckbach S, Reiser M, Kauczor HU, Nikolaou K, Günther M, Forsting M, Hosten N, Völzke H, Bamberg F.

Rofo. 2016 Jul;188(7):652-61. doi: 10.1055/s-0042-104510. Epub 2016 May 3. Review.

19.

How to not miss alveolar echinococcosis in hepatic lesions suspicious for cholangiocellular carcinoma.

Mueller J, Stojkovic M, Berger AK, Rosenberger KD, Schlett CL, Kauczor HU, Junghanss T, Weber TF.

Abdom Radiol (NY). 2016 Feb;41(2):221-30. doi: 10.1007/s00261-015-0561-2.

PMID:
26867903
20.

PlGF/VEGFR-1 Signaling Promotes Macrophage Polarization and Accelerated Tumor Progression in Obesity.

Incio J, Tam J, Rahbari NN, Suboj P, McManus DT, Chin SM, Vardam TD, Batista A, Babykutty S, Jung K, Khachatryan A, Hato T, Ligibel JA, Krop IE, Puchner SB, Schlett CL, Hoffmman U, Ancukiewicz M, Shibuya M, Carmeliet P, Soares R, Duda DG, Jain RK, Fukumura D.

Clin Cancer Res. 2016 Jun 15;22(12):2993-3004. doi: 10.1158/1078-0432.CCR-15-1839. Epub 2016 Feb 9.

21.

Imaging-based characterization of cardiometabolic phenotypes focusing on whole-body MRI--an approach to disease prevention and personalized treatment.

Gatidis S, Schlett CL, Notohamiprodjo M, Bamberg F.

Br J Radiol. 2016;89(1059):20150829. doi: 10.1259/bjr.20150829. Epub 2016 Jan 18. Review.

22.

Use of Coronary Computed Tomographic Angiography Findings to Modify Statin and Aspirin Prescription in Patients With Acute Chest Pain.

Pursnani A, Celeng C, Schlett CL, Mayrhofer T, Zakroysky P, Lee H, Ferencik M, Fleg JL, Bamberg F, Wiviott SD, Truong QA, Udelson JE, Nagurney JT, Hoffmann U.

Am J Cardiol. 2016 Feb 1;117(3):319-24. doi: 10.1016/j.amjcard.2015.10.052. Epub 2015 Nov 18.

PMID:
26762723
23.

Quantitative, Organ-Specific Interscanner and Intrascanner Variability for 3 T Whole-Body Magnetic Resonance Imaging in a Multicenter, Multivendor Study.

Schlett CL, Hendel T, Hirsch J, Weckbach S, Caspers S, Schulz-Menger J, Ittermann T, von Knobelsdorff-Brenkenhoff F, Ladd SC, Moebus S, Stroszczynski C, Fischer B, Leitzmann M, Kuhl C, Pessler F, Hartung D, Kemmling Y, Hetterich H, Amunts K, Günther M, Wacker F, Rummeny E, Kauczor HU, Forsting M, Völzke H, Hosten N, Reiser MF, Bamberg F.

Invest Radiol. 2016 Apr;51(4):255-65. doi: 10.1097/RLI.0000000000000237.

PMID:
26646309
24.

Whole-Body MR Imaging Including Angiography: Predicting Recurrent Events in Diabetics.

Bertheau RC, Bamberg F, Lochner E, Findeisen HM, Parhofer KG, Kauczor HU, Schoenberg SO, Weckbach S, Schlett CL.

Eur Radiol. 2016 May;26(5):1420-30. doi: 10.1007/s00330-015-3936-4. Epub 2015 Aug 25.

PMID:
26304802
25.

Computed tomography-based high-risk coronary plaque score to predict acute coronary syndrome among patients with acute chest pain--Results from the ROMICAT II trial.

Ferencik M, Mayrhofer T, Puchner SB, Lu MT, Maurovich-Horvat P, Liu T, Ghemigian K, Kitslaar P, Broersen A, Bamberg F, Truong QA, Schlett CL, Hoffmann U.

J Cardiovasc Comput Tomogr. 2015 Nov-Dec;9(6):538-45. doi: 10.1016/j.jcct.2015.07.003. Epub 2015 Jul 10.

26.

Whole-Body MR Imaging in the German National Cohort: Rationale, Design, and Technical Background.

Bamberg F, Kauczor HU, Weckbach S, Schlett CL, Forsting M, Ladd SC, Greiser KH, Weber MA, Schulz-Menger J, Niendorf T, Pischon T, Caspers S, Amunts K, Berger K, Bülow R, Hosten N, Hegenscheid K, Kröncke T, Linseisen J, Günther M, Hirsch JG, Köhn A, Hendel T, Wichmann HE, Schmidt B, Jöckel KH, Hoffmann W, Kaaks R, Reiser MF, Völzke H; German National Cohort MRI Study Investigators.

Radiology. 2015 Oct;277(1):206-20. doi: 10.1148/radiol.2015142272. Epub 2015 May 19.

PMID:
25989618
27.

Relationship of thoracic fat depots with coronary atherosclerosis and circulating inflammatory biomarkers.

Maurovich-Horvat P, Kallianos K, Engel LC, Szymonifka J, Schlett CL, Koenig W, Hoffmann U, Truong QA.

Obesity (Silver Spring). 2015 Jun;23(6):1178-84. doi: 10.1002/oby.21080. Epub 2015 May 9.

28.

Potential for coronary CT angiography to tailor medical therapy beyond preventive guideline-based recommendations: insights from the ROMICAT I trial.

Pursnani A, Schlett CL, Mayrhofer T, Celeng C, Zakroysky P, Bamberg F, Nagurney JT, Truong QA, Hoffmann U.

J Cardiovasc Comput Tomogr. 2015 May-Jun;9(3):193-201. doi: 10.1016/j.jcct.2015.02.006. Epub 2015 Feb 18.

PMID:
25846248
29.

Feasibility of free-breathing, GRAPPA-based, real-time cardiac cine assessment of left-ventricular function in cardiovascular patients at 3T.

Zhu X, Schwab F, Marcus R, Hetterich H, Theisen D, Kramer H, Notohamiprodjo M, Schlett CL, Nikolaou K, Reiser MF, Bamberg F.

Eur J Radiol. 2015 May;84(5):849-55. doi: 10.1016/j.ejrad.2015.02.016. Epub 2015 Feb 28.

PMID:
25791016
30.

Early resting myocardial computed tomography perfusion for the detection of acute coronary syndrome in patients with coronary artery disease.

Pursnani A, Lee AM, Mayrhofer T, Ahmed W, Uthamalingam S, Ferencik M, Puchner SB, Bamberg F, Schlett CL, Udelson J, Hoffmann U, Ghoshhajra BB.

Circ Cardiovasc Imaging. 2015 Mar;8(3):e002404. doi: 10.1161/CIRCIMAGING.114.002404.

31.

Cardiac computed tomography for the evaluation of the acute chest pain syndrome: state of the art.

Schlett CL, Hoffmann U, Geisler T, Nikolaou K, Bamberg F.

Radiol Clin North Am. 2015 Mar;53(2):297-305. doi: 10.1016/j.rcl.2014.11.007. Review.

PMID:
25726995
32.

[Prognostic value of cardiovascular MRI in diabetics].

Schlett CL, Bertheau RC, Kauczor HU, Weckbach S.

Radiologe. 2015 Apr;55(4):299-307. doi: 10.1007/s00117-014-2719-2. German.

PMID:
25711144
33.

Correlation of concentrations of high-sensitivity troponin T and high-sensitivity C-reactive protein with plaque progression as measured by CT coronary angiography.

Seifarth H, Schlett CL, Lehman SJ, Bamberg F, Donnelly P, Januzzi JL, Koenig W, Truong QA, Hoffmann U.

J Cardiovasc Comput Tomogr. 2014 Nov-Dec;8(6):452-8. doi: 10.1016/j.jcct.2014.09.005. Epub 2014 Sep 16.

34.

Iterative image reconstruction algorithms in coronary CT angiography improve the detection of lipid-core plaque--a comparison with histology.

Puchner SB, Ferencik M, Maurovich-Horvat P, Nakano M, Otsuka F, Kauczor HU, Virmani R, Hoffmann U, Schlett CL.

Eur Radiol. 2015 Jan;25(1):15-23. doi: 10.1007/s00330-014-3404-6. Epub 2014 Sep 3.

PMID:
25182630
35.

[Incidental radiological findings].

Weckbach S, Schlett CL, Bertheau RC, Kauczor HU.

Internist (Berl). 2014 Sep;55(9):1019-25. doi: 10.1007/s00108-014-3452-7. Review. German.

PMID:
25099387
36.

Differences in coronary artery disease by CT angiography between patients developing unstable angina pectoris vs. major adverse cardiac events.

Schlett CL, Nance JW Jr, Schoepf UJ, O'Brien TX, Ebersberger U, Headden GF, Hoffmann U, Bamberg F.

Eur J Radiol. 2014 Jul;83(7):1113-1119. doi: 10.1016/j.ejrad.2014.04.005. Epub 2014 Apr 18.

PMID:
24838281
37.

Feasibility of dynamic CT-based adenosine stress myocardial perfusion imaging to detect and differentiate ischemic and infarcted myocardium in an large experimental porcine animal model.

Bamberg F, Hinkel R, Marcus RP, Baloch E, Hildebrandt K, Schwarz F, Hetterich H, Sandner TA, Schlett CL, Ebersberger U, Kupatt C, Hoffmann U, Reiser MF, Theisen D, Nikolaou K.

Int J Cardiovasc Imaging. 2014 Apr;30(4):803-12. doi: 10.1007/s10554-014-0390-3. Epub 2014 Feb 26.

PMID:
24570085
38.

Computed tomography-guided percutaneous biopsy of isoattenuating focal liver lesions.

Sainani NI, Schlett CL, Hahn PF, Gervais DA, Mueller PR, Arellano RS.

Abdom Imaging. 2014 Jun;39(3):633-44. doi: 10.1007/s00261-014-0089-x.

PMID:
24531352
39.

The use of coronary CT angiography for the evaluation of chest pain.

Schlett CL, Pursnani A, Marcus RP, Truong QA, Hoffmann U.

Cardiol Rev. 2014 May-Jun;22(3):117-27. doi: 10.1097/CRD.0000000000000015. Review.

PMID:
24407046
40.

Diabetes mellitus: long-term prognostic value of whole-body MR imaging for the occurrence of cardiac and cerebrovascular events.

Bamberg F, Parhofer KG, Lochner E, Marcus RP, Theisen D, Findeisen HM, Hoffmann U, Schönberg SO, Schlett CL, Reiser MF, Weckbach S.

Radiology. 2013 Dec;269(3):730-7. doi: 10.1148/radiol.13130371. Epub 2013 Oct 28.

PMID:
24023074
41.

Cost and resource utilization associated with use of computed tomography to evaluate chest pain in the emergency department: the Rule Out Myocardial Infarction using Computer Assisted Tomography (ROMICAT) study.

Hulten E, Goehler A, Bittencourt MS, Bamberg F, Schlett CL, Truong QA, Nichols J, Nasir K, Rogers IS, Gazelle SG, Nagurney JT, Hoffmann U, Blankstein R.

Circ Cardiovasc Qual Outcomes. 2013 Sep 1;6(5):514-24. doi: 10.1161/CIRCOUTCOMES.113.000244. Epub 2013 Sep 10.

42.

The effect of iterative image reconstruction algorithms on the feasibility of automated plaque assessment in coronary CT angiography.

Puchner SB, Ferencik M, Karolyi M, Do S, Maurovich-Horvat P, Kauczor HU, Hoffmann U, Schlett CL.

Int J Cardiovasc Imaging. 2013 Dec;29(8):1879-88. doi: 10.1007/s10554-013-0281-z. Epub 2013 Aug 30.

PMID:
23990390
43.

Response.

Maurovich-Horvat P, Schlett CL, Hoffmann U.

Radiology. 2013 Jul;268(1):304-5. No abstract available.

PMID:
23951582
44.

Thoracic periaortic and visceral adipose tissue and their cross-sectional associations with measures of vascular function.

Britton KA, Wang N, Palmisano J, Corsini E, Schlett CL, Hoffmann U, Larson MG, Vasan RS, Vita JA, Mitchell GF, Benjamin EJ, Hamburg NM, Fox CS.

Obesity (Silver Spring). 2013 Jul;21(7):1496-503. doi: 10.1002/oby.20166. Epub 2013 Jun 11.

45.

How to assess non-calcified plaque in CT angiography: delineation methods affect diagnostic accuracy of low-attenuation plaque by CT for lipid-core plaque in histology.

Schlett CL, Ferencik M, Celeng C, Maurovich-Horvat P, Scheffel H, Stolzmann P, Do S, Kauczor HU, Alkadhi H, Bamberg F, Hoffmann U.

Eur Heart J Cardiovasc Imaging. 2013 Nov;14(11):1099-105. doi: 10.1093/ehjci/jet030. Epub 2013 May 12.

PMID:
23671211
46.

Histogram analysis of lipid-core plaques in coronary computed tomographic angiography: ex vivo validation against histology.

Schlett CL, Maurovich-Horvat P, Ferencik M, Alkadhi H, Stolzmann P, Scheffel H, Seifarth H, Nakano M, Do S, Vorpahl M, Kauczor HU, Bamberg F, Tearney GJ, Virmani R, Hoffmann U.

Invest Radiol. 2013 Sep;48(9):646-53. doi: 10.1097/RLI.0b013e31828fdf9f.

PMID:
23614976
47.

Development and validation of a score for prediction of postoperative respiratory complications.

Brueckmann B, Villa-Uribe JL, Bateman BT, Grosse-Sundrup M, Hess DR, Schlett CL, Eikermann M.

Anesthesiology. 2013 Jun;118(6):1276-85. doi: 10.1097/ALN.0b013e318293065c.

PMID:
23571640
48.

Classification of coronary atherosclerotic plaques ex vivo with T1, T2, and ultrashort echo time CMR.

Károlyi M, Seifarth H, Liew G, Schlett CL, Maurovich-Horvat P, Stolzmann P, Dai G, Huang S, Goergen CJ, Nakano M, Otsuka F, Virmani R, Hoffmann U, Sosnovik DE.

JACC Cardiovasc Imaging. 2013 Apr;6(4):466-74. doi: 10.1016/j.jcmg.2012.09.015. Epub 2013 Mar 14.

49.

Incremental prognostic value of cardiac CT angiography in patients with acute chest pain.

Schlett CL, Nance JW Jr, Schoepf UJ, Bamberg F.

Radiology. 2013 Jan;266(1):364. No abstract available.

PMID:
23390627
50.

Single resting hsTnT level predicts abnormal myocardial stress test in acute chest pain patients with normal initial standard troponin.

Ahmed W, Schlett CL, Uthamalingam S, Truong QA, Koenig W, Rogers IS, Blankstein R, Nagurney JT, Tawakol A, Januzzi JL, Hoffmann U.

JACC Cardiovasc Imaging. 2013 Jan;6(1):72-82. doi: 10.1016/j.jcmg.2012.08.014.

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