Universität zu Köln

Lohmann, Philipp ORCID: 0000-0002-5360-046X, Kocher, Martin, Ceccon, Garry, Bauer, Elena K., Stoffels, Gabriele ORCID: 0000-0001-7114-1941, Viswanathan, Shivakumar ORCID: 0000-0002-7513-3778, Ruge, Maximilian I., Neumaier, Bernd, Shah, Nadim J., Fink, Gereon R. ORCID: 0000-0002-8230-1856, Langen, Karl-Josef ORCID: 0000-0003-1101-5075 and Galldiks, Norbert ORCID: 0000-0002-2485-1796 (2018). Combined FET PET/MRI radiomics differentiates radiation injury from recurrent brain metastasis. NeuroImage-Clin., 20. S. 537 - 543. OXFORD: ELSEVIER SCI LTD. ISSN 2213-1582

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Abstract

Background: The aim of this study was to investigate the potential of combined textural feature analysis of contrast-enhanced MRI (CE-MRI) and static O-(2-[F-18] fluoroethyl)-L-tyrosine (FET) PET for the differentiation between local recurrent brain metastasis and radiation injury since CE-MRI often remains inconclusive. Methods: Fifty-two patients with new or progressive contrast-enhancing brain lesions on MRI after radiotherapy (predominantly stereotactic radiosurgery) of brain metastases were additionally investigated using FET PET. Based on histology (n = 19) or clinicoradiological follow-up (n = 33), local recurrent brain metastases were diagnosed in 21 patients (40%) and radiation injury in 31 patients (60%). Forty-two textural features were calculated on both unfiltered and filtered CE-MRI and summed FET PET images (20-40 min p.i.), using the software LIFEx. After feature selection, logistic regression models using a maximum of five features to avoid overfitting were calculated for each imaging modality separately and for the combined FET PET/MRI features. The resulting models were validated using cross-validation. Diagnostic accuracies were calculated for each imaging modality separately as well as for the combined model. Results: For the differentiation between radiation injury and recurrence of brain metastasis, textural features extracted from CE-MRI had a diagnostic accuracy of 81% (sensitivity, 67%; specificity, 90%). FET PET textural features revealed a slightly higher diagnostic accuracy of 83% (sensitivity, 88%; specificity, 75%). However, the highest diagnostic accuracy was obtained when combining CE-MRI and FET PET features (accuracy, 89%; sensitivity, 85%; specificity, 96%). Conclusions: Our findings suggest that combined FET PET/CE-MRI radiomics using textural feature analysis offers a great potential to contribute significantly to the management of patients with brain metastases.

Item Type:	Journal Article
Creators:	Creators Email ORCID ORCID Put Code Lohmann, Philipp UNSPECIFIED orcid.org/0000-0002-5360-046X UNSPECIFIED Kocher, Martin UNSPECIFIED UNSPECIFIED UNSPECIFIED Ceccon, Garry UNSPECIFIED UNSPECIFIED UNSPECIFIED Bauer, Elena K. UNSPECIFIED UNSPECIFIED UNSPECIFIED Stoffels, Gabriele UNSPECIFIED orcid.org/0000-0001-7114-1941 UNSPECIFIED Viswanathan, Shivakumar UNSPECIFIED orcid.org/0000-0002-7513-3778 UNSPECIFIED Ruge, Maximilian I. UNSPECIFIED UNSPECIFIED UNSPECIFIED Neumaier, Bernd UNSPECIFIED UNSPECIFIED UNSPECIFIED Shah, Nadim J. UNSPECIFIED UNSPECIFIED UNSPECIFIED Fink, Gereon R. UNSPECIFIED orcid.org/0000-0002-8230-1856 UNSPECIFIED Langen, Karl-Josef UNSPECIFIED orcid.org/0000-0003-1101-5075 UNSPECIFIED Galldiks, Norbert UNSPECIFIED orcid.org/0000-0002-2485-1796 UNSPECIFIED
URN:	urn:nbn:de:hbz:38-200844
DOI:	10.1016/j.nicl.2018.08.024
Journal or Publication Title:	NeuroImage-Clin.
Volume:	20
Page Range:	S. 537 - 543
Date:	2018
Publisher:	ELSEVIER SCI LTD
Place of Publication:	OXFORD
ISSN:	2213-1582
Language:	English
Faculty:	Unspecified
Divisions:	Unspecified
Subjects:	no entry
Uncontrolled Keywords:	Keywords Language AMINO-ACID PET; STEREOTACTIC RADIOSURGERY; O-(2-F-18-FLUOROETHYL)-L-TYROSINE UPTAKE; BARRIER PERMEABILITY; SURGICAL RESECTION; IMAGING PREDICTOR; TEXTURE ANALYSIS; NECROSIS; TUMOR; MRI Multiple languages Neuroimaging Multiple languages
Refereed:	Yes
URI:	http://kups.ub.uni-koeln.de/id/eprint/20084