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16.11.2016 | Nuclear Medicine

Radiation injury vs. recurrent brain metastasis: combining textural feature radiomics analysis and standard parameters may increase ¹⁸F-FET PET accuracy without dynamic scans

verfasst von: Philipp Lohmann, Gabriele Stoffels, Garry Ceccon, Marion Rapp, Michael Sabel, Christian P. Filss, Marcel A. Kamp, Carina Stegmayr, Bernd Neumaier, Nadim J. Shah, Karl-Josef Langen, Norbert Galldiks

Erschienen in: European Radiology | Ausgabe 7/2017

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Abstract

Objectives

We investigated the potential of textural feature analysis of O-(2-[¹⁸F]fluoroethyl)-L-tyrosine (¹⁸F-FET) PET to differentiate radiation injury from brain metastasis recurrence.

Methods

Forty-seven patients with contrast-enhancing brain lesions (n = 54) on MRI after radiotherapy of brain metastases underwent dynamic ¹⁸F-FET PET. Tumour-to-brain ratios (TBRs) of ¹⁸F-FET uptake and 62 textural parameters were determined on summed images 20-40 min post-injection. Tracer uptake kinetics, i.e., time-to-peak (TTP) and patterns of time-activity curves (TAC) were evaluated on dynamic PET data from 0-50 min post-injection. Diagnostic accuracy of investigated parameters and combinations thereof to discriminate between brain metastasis recurrence and radiation injury was compared.

Results

Diagnostic accuracy increased from 81 % for TBR_mean alone to 85 % when combined with the textural parameter Coarseness or Short-zone emphasis. The accuracy of TBR_max alone was 83 % and increased to 85 % after combination with the textural parameters Coarseness, Short-zone emphasis, or Correlation. Analysis of TACs resulted in an accuracy of 70 % for kinetic pattern alone and increased to 83 % when combined with TBR_max.

Conclusions

Textural feature analysis in combination with TBRs may have the potential to increase diagnostic accuracy for discrimination between brain metastasis recurrence and radiation injury, without the need for dynamic ¹⁸F-FET PET scans.

Key points

• Textural feature analysis provides quantitative information about tumour heterogeneity

• Textural features help improve discrimination between brain metastasis recurrence and radiation injury

• Textural features might be helpful to further understand tumour heterogeneity

• Analysis does not require a more time consuming dynamic PET acquisition

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Titel: Radiation injury vs. recurrent brain metastasis: combining textural feature radiomics analysis and standard parameters may increase 18F-FET PET accuracy without dynamic scans
verfasst von: Philipp Lohmann
Gabriele Stoffels
Garry Ceccon
Marion Rapp
Michael Sabel
Christian P. Filss
Marcel A. Kamp
Carina Stegmayr
Bernd Neumaier
Nadim J. Shah
Karl-Josef Langen
Norbert Galldiks
Publikationsdatum: 16.11.2016
Verlag: Springer Berlin Heidelberg
Erschienen in: European Radiology / Ausgabe 7/2017
Print ISSN: 0938-7994
Elektronische ISSN: 1432-1084
DOI: https://doi.org/10.1007/s00330-016-4638-2

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Radiation injury vs. recurrent brain metastasis: combining textural feature radiomics analysis and standard parameters may increase ¹⁸F-FET PET accuracy without dynamic scans