Universität zu Köln

Bousabarah, Khaled, Temming, Susanne, Hoevels, Mauritius, Borggrefe, Jan ORCID: 0000-0003-2908-7560, Baus, Wolfgang W., Ruess, Daniel, Visser-Vandewalle, Veerle, Ruge, Maximilian, Kocher, Martin and Treuer, Harald (2019). Radiomic analysis of planning computed tomograms for predicting radiation-induced lung injury and outcome in lung cancer patients treated with robotic stereotactic body radiation therapy. Strahlenther. Onkol., 195 (9). S. 830 - 843. HEIDELBERG: SPRINGER HEIDELBERG. ISSN 1439-099X

Full text not available from this repository.

Abstract

Objectives To predict radiation-induced lung injury and outcome in non-small cell lung cancer (NSCLC) patients treated with robotic stereotactic body radiation therapy (SBRT) from radiomic features of the primary tumor. Methods In all, 110 patients with primary stage I/IIa NSCLC were analyzed for local control (LC), disease-free survival (DFS), overall survival (OS) and development of local lung injury up to fibrosis (LF). First-order (histogram), second-order (GLCM, Gray Level Co-occurrence Matrix) and shape-related radiomic features were determined from the unprocessed or filtered planning CT images of the gross tumor volume (GTV), subjected to LASSO (Least Absolute Shrinkage and Selection Operator) regularization and used to construct continuous and dichotomous risk scores for each endpoint. Results Continuous scores comprising 1-5 histogram or GLCM features had a significant (p= 0.0001-0.032) impact on all endpoints that was preserved in a multifactorial Cox regression analysis comprising additional clinical and dosimetric factors. At 36 months, LC did not differ between the dichotomous risk groups (93% vs. 85%, HR 0.892, 95%CI 0.222-3.590), while DFS (45% vs. 17%, p< 0.05, HR 0.457, 95%CI 0.240-0.868) and OS (80% vs. 37%, p< 0.001, HR 0.190, 95%CI 0.065-0.556) were significantly lower in the high-risk groups. Also, the frequency of LF differed significantly between the two risk groups (63% vs. 20% at 24 months, p< 0.001, HR 0.158, 95%CI 0.054-0.458). Conclusion Radiomic analysis of the gross tumor volume may help to predict DFS and OS and the development of local lung fibrosis in early stage NSCLC patients treated with stereotactic radiotherapy.

Item Type:	Journal Article
Creators:	Creators Email ORCID ORCID Put Code Bousabarah, Khaled UNSPECIFIED UNSPECIFIED UNSPECIFIED Temming, Susanne UNSPECIFIED UNSPECIFIED UNSPECIFIED Hoevels, Mauritius UNSPECIFIED UNSPECIFIED UNSPECIFIED Borggrefe, Jan UNSPECIFIED orcid.org/0000-0003-2908-7560 UNSPECIFIED Baus, Wolfgang W. UNSPECIFIED UNSPECIFIED UNSPECIFIED Ruess, Daniel UNSPECIFIED UNSPECIFIED UNSPECIFIED Visser-Vandewalle, Veerle UNSPECIFIED UNSPECIFIED UNSPECIFIED Ruge, Maximilian UNSPECIFIED UNSPECIFIED UNSPECIFIED Kocher, Martin UNSPECIFIED UNSPECIFIED UNSPECIFIED Treuer, Harald UNSPECIFIED UNSPECIFIED UNSPECIFIED
URN:	urn:nbn:de:hbz:38-143378
DOI:	10.1007/s00066-019-01452-7
Journal or Publication Title:	Strahlenther. Onkol.
Volume:	195
Number:	9
Page Range:	S. 830 - 843
Date:	2019
Publisher:	SPRINGER HEIDELBERG
Place of Publication:	HEIDELBERG
ISSN:	1439-099X
Language:	English
Faculty:	Unspecified
Divisions:	Unspecified
Subjects:	no entry
Uncontrolled Keywords:	Keywords Language PATHOLOGICAL RESPONSE; TEXTURE ANALYSIS; STAGE-I; FEATURES; SURVIVAL; REPRODUCIBILITY; RADIOTHERAPY; PNEUMONITIS; RECURRENCE; SIGNATURE Multiple languages Oncology; Radiology, Nuclear Medicine & Medical Imaging Multiple languages
Refereed:	Yes
URI:	http://kups.ub.uni-koeln.de/id/eprint/14337