Study population
The study population was identical to that investigated in a previous study undertaken by our group [10]. Briefly, it originated from a prospective, cross-sectional study and comprised 121 patients (February 2018 to September 2020) suffering from WHO CNS grade 3 or 4 gliomas, according to the 2016 WHO classification [15]. Patients were referred for hybrid MR/PET imaging for treatment monitoring or suspicion of recurrent tumor. The inclusion criteria were: an ECOG performance score of 0–1, no major depression, no seizures, and fluency in the German language. The local ethics committee approved the protocol, and all patients provided informed written consent according to the Declaration of Helsinki. Patient characteristics are shown in Table 1. The median interval between therapy initiation and imaging was 14 months (mean, 30 months; range, 1–214 months), and 105 patients had
Table 1 Patient Characteristics
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)
Median (Range) unless otherwise stated; ECOG-PS: Eastern Cooperative Oncology Group Performance Score; ISCED: International Standard Classification of Education (1997); GBM: glioblastoma; NOS: not otherwise specified; AA: anaplastic astrocytoma; AOD: anaplastic oligodendroglioma; IDH: Isocitrate-Dehydrogenase; 1p19q codel: 1p19q codeleted; FET: O-(2-[18F]fluoroethyl)-L-tyrosine
completed tri-modality primary treatment, including biopsy/resection, definitive/postoperative radiotherapy, and concomitant/adjuvant chemotherapy with alkylating agents. Most patients had already received one series (100 patients) or two series (14 patients) of local radiotherapy (dose range 59–62 Gy in 92% of patients), with a median interval of 13 months (mean, 32 months; range, 2–213 months) between the start of irradiation and imaging. All patients except one were right-handed.
Assessment of quality of life
Quality of life was assessed at the date of imaging using the validated German version of the EORTC Quality of Life Questionnaire QLQ-C30 and the EORTC QLQ-BN20 (https://qol.eortc.org) [16, 17]. The EORTC QLQ-C30 comprises 30 questions covering five functional domains: physical functioning (Physical), role functioning (Role), cognitive deficits (Cognitive), emotional functioning (Emotional), social functioning (Social), and a global measure of health status (QL). The EORTC QLQ-BN20 is more explicitly adapted to brain cancer and has 20 questions from four domains: future uncertainty (Future), visual disorder (Visual), motor dysfunction (Motor), and communication deficit (Communication). The scores for each domain were computed according to the EORTC QLQ scoring manuals, where the raw scores from 2-5 questions are averaged and rescaled to a range of 0-100 points. Additionally, sociodemographic variables comprising age, gender, and education (International Standard Classification of Education, ISCED, (http://uis.unesco.org/sites/default/files/documents/international-standard-classification-of-education-1997-en_0.pdf) were recorded.
Multimodal imaging, image segmentation, and determination of lesion-specific damage to functional cortical regions and white matter tracts
These procedures have been described in detail before [10]. Briefly, FET positron emission tomography (PET) and MR data were acquired simultaneously using a high-resolution 3T hybrid PET/MR scanner (Siemens Tim-TRIO/BrainPET, Siemens Medical Systems, Erlangen). Structural MR imaging included a 3D T1-weighted magnetization-prepared rapid acquisition gradient-echo (MPRAGE) anatomical scan, a contrast-enhanced T1-weighted image (T1-CE) obtained from a second MPRAGE scan following the injection of gadolinium, or high-resolution T1-weighted, contrast-enhanced MR scans available from the referring institution. Moreover, T2-weighted and T2-weighted fluid-attenuated inversion recovery (FLAIR) structural images were acquired. In addition to these imaging procedures, all patients underwent resting-state fMRI (rs-fMRI), where 300 functional volumes were acquired within 11 minutes using a gradient-echo echo planar imaging (GE-EPI) pulse sequence (36 axial slices, slice thickness 3.1 mm, repetition time TR = 2200 ms, echo time TE = 30 ms, flip angle = 90°, FoV = 200 ×200 mm2, in-plane voxel-size 3.1 ×3.1 mm2). The patients were instructed to relax and to let their minds wander but not to fall asleep [10].
Lesion masks were generated for resection cavities, T1-CE enhancing lesions, T2/FLAIR hyperintensities, and lesions with pathologically increased FET uptake. Resection cavities were manually contoured by a radiation oncologist (M.K.), whereas the T1-CE-enhancing lesions and T2/FLAIR hyperintensities were automatically segmented (deep-learning-based software HD-GLIO-AUTO, https://github.com/NeuroAI-HD/HDGLIO-AUTO). FET PET segmentation was implemented by an FSL (https://fsl.fmrib.ox.ac.uk) custom script using a tumor-to-brain ratio (TBR) of > 1.6 as the threshold for pathological FET uptake [18]. All segmentations were visually inspected and manually corrected if needed. For lesion-function mapping, the rs-fMRI-based cortical parcellation atlas of Schaefer et al. [19], comprising 2x50 functional nodes belonging to 7 resting-state networks (visual, somato-motor, dorsal attention, ventral attention, limbic, fronto-parietal control, and default mode), and an atlas of white matter tracts (2 × 24 tracts) from the Stereotaxic White Matter Atlas of the Johns Hopkins University (JHU) [20] were applied. All images were spatially normalized by elastic registration to the MNI-152 brain template by means of the SPM12 toolbox (www.fil.ion.ucl.ac.uk/spm/software/spm12) and, finally, the partial overlapping volume of the nodes or tracts with each of the lesion segments was computed, see Fig. 1.
Determination of resting-state functional connectivity
The determination of resting-state functional connectivity (RSFC) was performed similarly to Kocher et al. [21]. Briefly, functional images were subjected to the standard pre-processing steps of the SPM12/CONN toolbox comprising motion correction with removal of outliers and cerebro-spinal fluid/ white matter signals, slice timing correction, smoothing with 5 mm FWHM, bandpass-filtering to 0.008–0.09 Hz and denoising. All structural and functional images were non-rigidly co-registered to the MNI-152 standard brain template using the SPM12/CONN unified segmentation/registration algorithm. For the determination of RSFC, the cortical parcellation of Schaefer et al. [19] was imported into the CONN toolbox and used to compute full connectivity matrices from the z-transformed Pearson correlation coefficients between the respective nodes. From these z-values, the within-network connectivity for each node of the respective network [22] was computed.
Statistical Analysis
SPSS (IBM SPSS Statistics version 27, IBM Corporation, Armonk, NY, USA) and the Python software package scipy.stats (version 1.5.4, https://scipy.org) were used for all analyses. Correlation coefficients between EORTC QLQ domain scores and the volumetric overlap between lesions and functional nodes or white matter tracts were computed using a 2-sided Kendall tau-b rank correlation that corrects for ties and is less sensitive to outliers. Moreover, the Pearson correlation coefficients between within-network functional connectivity of individual nodes and the EORTEC QLQ domain scores were calculated. In general, p-values <0.05 were regarded significant. No formal correction was applied for massive univariate testing [23]. However, only correlations with p<0.001 for lesion-QoL and p<0.01 for RSFC-QoL analysis were considered significant.