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Fluid suppression in amide proton transfer‐weighted (APTw) CEST imaging: New theoretical insights and clinical benefits.

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Title: Fluid suppression in amide proton transfer‐weighted (APTw) CEST imaging: New theoretical insights and clinical benefits.
Authors: Schüre, Jan‐Rüdiger1 (AUTHOR) jan-ruediger.schuere@uk-erlangen.de, Casagranda, Stefano2 (AUTHOR), Sedykh, Maria1 (AUTHOR), Liebig, Patrick3 (AUTHOR), Papageorgakis, Christos2 (AUTHOR), Mancini, Laura4,5 (AUTHOR), Bisdas, Sotirios4,5 (AUTHOR), Nichelli, Lucia6 (AUTHOR), Pinter, Nandor7,8 (AUTHOR), Mechtler, Laszlo7 (AUTHOR), Jafari, Ramin9 (AUTHOR), Boddaert, Nathalie10,11 (AUTHOR), Dangouloff‐Ros, Volodia10,11 (AUTHOR), Poujol, Julie12 (AUTHOR), Schmidt, Manuel1 (AUTHOR), Doerfler, Arnd1 (AUTHOR), Zaiss, Moritz1 (AUTHOR)
Source: Magnetic Resonance in Medicine. Apr2024, Vol. 91 Issue 4, p1354-1367. 14p.
Subjects: Protons, Fluids, Brain tumors, White matter (Nerve tissue), Brain imaging
Abstract: Purpose: Amide proton transfer‐weighted (APTw) MRI at 3T provides a unique contrast for brain tumor imaging. However, APTw imaging suffers from hyperintensities in liquid compartments such as cystic or necrotic structures and provides a distorted APTw signal intensity. Recently, it has been shown that heuristically motivated fluid suppression can remove such artifacts and significantly improve the readability of APTw imaging. Theory and Methods: In this work, we show that the fluid suppression can actually be understood by the known concept of spillover dilution, which itself can be derived from the Bloch‐McConnell equations in comparison to the heuristic approach. Therefore, we derive a novel post‐processing formula that efficiently removes fluid artifact, and explains previous approaches. We demonstrate the utility of this APTw assessment in silico, in vitro, and in vivo in brain tumor patients acquired at MR scanners from different vendors. Results: Our results show a reduction of the CEST signals from fluid environments while keeping the APTw‐CEST signal intensity almost unchanged for semi‐solid tissue structures such as the contralateral normal appearing white matter. This further allows us to use the same color bar settings as for conventional APTw imaging. Conclusion: Fluid suppression has considerable value in improving the readability of APTw maps in the neuro‐oncological field. In this work, we derive a novel post‐processing formula from the underlying Bloch‐McConnell equations that efficiently removes fluid artifact, and explains previous approaches which justify the derivation of this metric from a theoretical point of view, to reassure the scientific and medical field about its use. [ABSTRACT FROM AUTHOR]
Copyright of Magnetic Resonance in Medicine is the property of Wiley-Blackwell and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
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  Data: Fluid suppression in amide proton transfer‐weighted (APTw) CEST imaging: New theoretical insights and clinical benefits.
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  Data: <searchLink fieldCode="AR" term="%22Schüre%2C+Jan‐Rüdiger%22">Schüre, Jan‐Rüdiger</searchLink><relatesTo>1</relatesTo> (AUTHOR)<i> jan-ruediger.schuere@uk-erlangen.de</i><br /><searchLink fieldCode="AR" term="%22Casagranda%2C+Stefano%22">Casagranda, Stefano</searchLink><relatesTo>2</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Sedykh%2C+Maria%22">Sedykh, Maria</searchLink><relatesTo>1</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Liebig%2C+Patrick%22">Liebig, Patrick</searchLink><relatesTo>3</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Papageorgakis%2C+Christos%22">Papageorgakis, Christos</searchLink><relatesTo>2</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Mancini%2C+Laura%22">Mancini, Laura</searchLink><relatesTo>4,5</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Bisdas%2C+Sotirios%22">Bisdas, Sotirios</searchLink><relatesTo>4,5</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Nichelli%2C+Lucia%22">Nichelli, Lucia</searchLink><relatesTo>6</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Pinter%2C+Nandor%22">Pinter, Nandor</searchLink><relatesTo>7,8</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Mechtler%2C+Laszlo%22">Mechtler, Laszlo</searchLink><relatesTo>7</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Jafari%2C+Ramin%22">Jafari, Ramin</searchLink><relatesTo>9</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Boddaert%2C+Nathalie%22">Boddaert, Nathalie</searchLink><relatesTo>10,11</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Dangouloff‐Ros%2C+Volodia%22">Dangouloff‐Ros, Volodia</searchLink><relatesTo>10,11</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Poujol%2C+Julie%22">Poujol, Julie</searchLink><relatesTo>12</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Schmidt%2C+Manuel%22">Schmidt, Manuel</searchLink><relatesTo>1</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Doerfler%2C+Arnd%22">Doerfler, Arnd</searchLink><relatesTo>1</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Zaiss%2C+Moritz%22">Zaiss, Moritz</searchLink><relatesTo>1</relatesTo> (AUTHOR)
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  Data: <searchLink fieldCode="JN" term="%22Magnetic+Resonance+in+Medicine%22">Magnetic Resonance in Medicine</searchLink>. Apr2024, Vol. 91 Issue 4, p1354-1367. 14p.
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  Data: <searchLink fieldCode="DE" term="%22Protons%22">Protons</searchLink><br /><searchLink fieldCode="DE" term="%22Fluids%22">Fluids</searchLink><br /><searchLink fieldCode="DE" term="%22Brain+tumors%22">Brain tumors</searchLink><br /><searchLink fieldCode="DE" term="%22White+matter+%28Nerve+tissue%29%22">White matter (Nerve tissue)</searchLink><br /><searchLink fieldCode="DE" term="%22Brain+imaging%22">Brain imaging</searchLink>
– Name: Abstract
  Label: Abstract
  Group: Ab
  Data: Purpose: Amide proton transfer‐weighted (APTw) MRI at 3T provides a unique contrast for brain tumor imaging. However, APTw imaging suffers from hyperintensities in liquid compartments such as cystic or necrotic structures and provides a distorted APTw signal intensity. Recently, it has been shown that heuristically motivated fluid suppression can remove such artifacts and significantly improve the readability of APTw imaging. Theory and Methods: In this work, we show that the fluid suppression can actually be understood by the known concept of spillover dilution, which itself can be derived from the Bloch‐McConnell equations in comparison to the heuristic approach. Therefore, we derive a novel post‐processing formula that efficiently removes fluid artifact, and explains previous approaches. We demonstrate the utility of this APTw assessment in silico, in vitro, and in vivo in brain tumor patients acquired at MR scanners from different vendors. Results: Our results show a reduction of the CEST signals from fluid environments while keeping the APTw‐CEST signal intensity almost unchanged for semi‐solid tissue structures such as the contralateral normal appearing white matter. This further allows us to use the same color bar settings as for conventional APTw imaging. Conclusion: Fluid suppression has considerable value in improving the readability of APTw maps in the neuro‐oncological field. In this work, we derive a novel post‐processing formula from the underlying Bloch‐McConnell equations that efficiently removes fluid artifact, and explains previous approaches which justify the derivation of this metric from a theoretical point of view, to reassure the scientific and medical field about its use. [ABSTRACT FROM AUTHOR]
– Name: AbstractSuppliedCopyright
  Label:
  Group: Ab
  Data: <i>Copyright of Magnetic Resonance in Medicine is the property of Wiley-Blackwell and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.)
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        Value: 10.1002/mrm.29915
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        Text: English
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