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Klomp, Dennis W. J.

https://orcid.org/0000-0002-5884-5386

Mayo Clinic

University Medical Center Utrecht

Citations 2

In vivo biochemical assessment of cartilage with gagCEST MRI: Correlation with cartilage properties
Brinkhof, Sander , Nizak, Razmara, Sim, Sotcheadt, Khlebnikov, Vitaliy, Quenneville, É. , Garon, M. , Klomp, Dennis W. J. , Saris, Daniël B.F. , Saris, Daniel

NMR in Biomedicine | December 23, 2020 | Volume: 34 | Issue: 3 | Pages: No page available

10.1002/nbm.4463 Get It

To assess articular cartilage in vivo, a noninvasive measurement is proposed to evaluate damage of the cartilage. It is hypothesized that glycosaminoglycan chemical exchange saturation transfer (gagCEST) can be applied as a noninvasive imaging technique as it would relate to electromechanical indentation and GAG content as measured with biochemical assays. This pilot study applies gagCEST MRI in total knee arthroplasty (TKA) patients to assess substantially damaged articular cartilage. The outcome was verified against electromechanical indentation and biochemical assays to assess the potential of gagCEST MRI. Five TKA patients were scanned on a 7.0 T MRI with a gagCEST sequence. Articular resurfacing cuts after TKA were obtained for electromechanical and biochemical analyses. The gagCEST MRI measurements on the medial condyle showed a moderate correlation with the GAG content, although sensitivity on the lateral condyle was lacking. Additionally, a strong negative correlation of gagCEST MRI with the electromechanical measurements was observed in the regression analysis. Correlation of gagCEST MRI with electromechanical measurements was shown, but the correlation of gagCEST MRI with GAG content was not convincing. In conclusion, gagCEST could be a useful tool to assess the GAG content in articular cartilage noninvasively, although the mismatch in heterogeneity requires further investigation.
Methodological consensus on clinical proton MRS of the brain: Review and recommendations
Wilson, Martin , Andronesi, Ovidiu C. , Barker, Peter B. , Bartha, Robert , Bizzi, Alberto , Bolan, Patrick J. , Cudalbu, Cristina , Dydak, Ulrike , Emir, Uzay E. , González, R. Gilberto , Gruber, Stephan , Gupta, Rakesh K. , Henning, A , Hetherington, Hoby P. , Hüppi, Petra S. , Hurd, Ralph E. , Kantarci, Kejal , Kauppinen, Risto A. , Klomp, Dennis W. J. , Kreis, Roland , Kruiskamp, Marijn J., Leach, Martin O. , Lin, Alexander , Luijten, Peter R. , Marjańska, Małgorzata , Meyerhoff, Dieter J. , Mountford, Carolyn E. , Mullins, Paul G. , Murdoch, James B. , Nelson, Sarah J. , Noeske, Ralph , Öz, Gülin , Pan, Julie W., Poptani, Harish , Posse, Stefan , Ratai, Eva‐Maria , Salibi, Nouha , Scheenen, Tom W. J. , Soher, Brian J. , Tkáč, Ivan , Vigneron, Daniel B. , Howe, Franklyn A. , Choi, In‐Young , Kreis, Roland , Maudsley, Andrew A , Howe, Franklyn A , Öz, Gülin , Marjańska, Małgorzata , Kantarci, Kejal , Brindle, Kevin Michael , Choi, In‐Young, Gruetter, Rolf , Heerschap, Arend , Peet, Andrew C. , Smith, Ian C. P.

Magnetic Resonance in Medicine | March 28, 2019 | Volume: 82 | Issue: 2 | Pages: 527-550

10.1002/mrm.27742 Get It

Proton MRS (1H MRS) provides noninvasive, quantitative metabolite profiles of tissue and has been shown to aid the clinical management of several brain diseases. Although most modern clinical MR scanners support MRS capabilities, routine use is largely restricted to specialized centers with good access to MR research support. Widespread adoption has been slow for several reasons, and technical challenges toward obtaining reliable good‐quality results have been identified as a contributing factor. Considerable progress has been made by the research community to address many of these challenges, and in this paper a consensus is presented on deficiencies in widely available MRS methodology and validated improvements that are currently in routine use at several clinical research institutions. In particular, the localization error for the PRESS localization sequence was found to be unacceptably high at 3 T, and use of the semi‐adiabatic localization by adiabatic selective refocusing sequence is a recommended solution. Incorporation of simulated metabolite basis sets into analysis routines is recommended for reliably capturing the full spectral detail available from short TE acquisitions. In addition, the importance of achieving a highly homogenous static magnetic field (B0) in the acquisition region is emphasized, and the limitations of current methods and hardware are discussed. Most recommendations require only software improvements, greatly enhancing the capabilities of clinical MRS on existing hardware. Implementation of these recommendations should strengthen current clinical applications and advance progress toward developing and validating new MRS biomarkers for clinical use.