Universität zu Köln

Gutsche, Robin, Lohmann, Philipp, Hoevels, Mauritius, Ruess, Daniel, Galldiks, Norbert, Visser-Vandewalle, Veerle ORCID: 0000-0002-5274-7929, Treuer, Harald, Ruge, Maximilian and Kocher, Martin (2022). Radiomics outperforms semantic features for prediction of response to stereotactic radiosurgery in brain metastases. Radiother. Oncol., 166. S. 37 - 44. CLARE: ELSEVIER IRELAND LTD. ISSN 1879-0887

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Abstract

Background: Brain metastases show different patterns of contrast enhancement, potentially reflecting hypoxic and necrotic tumor regions with reduced radiosensitivity. An objective evaluation of these patterns might allow a prediction of response to radiotherapy. We therefore investigated the potential of MRI radiomics in comparison with the visual assessment of semantic features to predict early response to stereotactic radiosurgery in patients with brain metastases. Patients and methods: In this retrospective study, 150 patients with 308 brain metastases from solid tumors (NSCLC in 53% of patients) treated by stereotactic radiosurgery (single dose of 17-20 Gy) were evaluated. The response of each metastasis (partial or complete remission vs. stabilization or progression) was assessed within 180 days after radiosurgery. Patterns of contrast enhancement in the pre-treatment T1-weighted MR images were either visually classified (homogenous, heterogeneous, necrotic ring-like) or subjected to a radiomics analysis. Random forest models were optimized by cross-validation and evaluated in a hold-out test data set (30% of metastases). Results: In total, 221/308 metastases (72%) responded to radiosurgery. The optimal radiomics model comprised 10 features and outperformed the model solely based on semantic features in the test data set (AUC, 0.71 vs. 0.56; accuracy, 69% vs. 54%). The diagnostic performance could be further improved by combining semantic and radiomics features resulting in an AUC of 0.74 and an accuracy of 75% in the test data set. Conclusion: The developed radiomics model allowed prediction of early response to radiosurgery in patients with brain metastases and outperformed the visual assessment of patterns of contrast enhancement. (C) 2021 Elsevier B.V. All rights reserved.

Item Type:	Journal Article
Creators:	Creators Email ORCID ORCID Put Code Gutsche, Robin UNSPECIFIED UNSPECIFIED UNSPECIFIED Lohmann, Philipp UNSPECIFIED UNSPECIFIED UNSPECIFIED Hoevels, Mauritius UNSPECIFIED UNSPECIFIED UNSPECIFIED Ruess, Daniel UNSPECIFIED UNSPECIFIED UNSPECIFIED Galldiks, Norbert UNSPECIFIED UNSPECIFIED UNSPECIFIED Visser-Vandewalle, Veerle UNSPECIFIED orcid.org/0000-0002-5274-7929 UNSPECIFIED Treuer, Harald UNSPECIFIED UNSPECIFIED UNSPECIFIED Ruge, Maximilian UNSPECIFIED UNSPECIFIED UNSPECIFIED Kocher, Martin UNSPECIFIED UNSPECIFIED UNSPECIFIED
URN:	urn:nbn:de:hbz:38-681607
DOI:	10.1016/j.radonc.2021.11.010
Journal or Publication Title:	Radiother. Oncol.
Volume:	166
Page Range:	S. 37 - 44
Date:	2022
Publisher:	ELSEVIER IRELAND LTD
Place of Publication:	CLARE
ISSN:	1879-0887
Language:	English
Faculty:	Unspecified
Divisions:	Unspecified
Subjects:	no entry
Uncontrolled Keywords:	Keywords Language SURVIVAL; VOLUME; DIAGNOSIS; CRITERIA Multiple languages Oncology; Radiology, Nuclear Medicine & Medical Imaging Multiple languages
URI:	http://kups.ub.uni-koeln.de/id/eprint/68160