scholarly journals Lesion-Function Analysis from Multimodal Imaging and Normative Brain Atlases for Prediction of Cognitive Deficits in Glioma Patients

Cancers ◽  
2021 ◽  
Vol 13 (10) ◽  
pp. 2373
Author(s):  
Martin Kocher ◽  
Christiane Jockwitz ◽  
Philipp Lohmann ◽  
Gabriele Stoffels ◽  
Christian Filss ◽  
...  

Cognitive deficits are common in glioma patients following multimodality therapy, but the relative impact of different types and locations of treatment-related brain damage and recurrent tumors on cognition is not well understood. In 121 WHO Grade III/IV glioma patients, structural MRI, O-(2-[18F]fluoroethyl)-L-tyrosine FET-PET, and neuropsychological testing were performed at a median interval of 14 months (range, 1–214 months) after therapy initiation. Resection cavities, T1-enhancing lesions, T2/FLAIR hyperintensities, and FET-PET positive tumor sites were semi-automatically segmented and elastically registered to a normative, resting state (RS) fMRI-based functional cortical network atlas and to the JHU atlas of white matter (WM) tracts, and their influence on cognitive test scores relative to a cohort of matched healthy subjects was assessed. T2/FLAIR hyperintensities presumably caused by radiation therapy covered more extensive brain areas than the other lesion types and significantly impaired cognitive performance in many domains when affecting left-hemispheric RS-nodes and WM-tracts as opposed to brain tissue damage caused by resection or recurrent tumors. Verbal episodic memory proved to be especially vulnerable to T2/FLAIR abnormalities affecting the nodes and tracts of the left temporal lobe. In order to improve radiotherapy planning, publicly available brain atlases, in conjunction with elastic registration techniques, should be used, similar to neuronavigation in neurosurgery.

2019 ◽  
Vol 21 (Supplement_6) ◽  
pp. vi160-vi160
Author(s):  
Suzanne IJpelaar ◽  
Emma Van Kessel ◽  
Martine Van Zandvoort ◽  
Filip De Vos ◽  
Joost Verhoeff ◽  
...  

Abstract INTRODUCTION Over half of patients with a diffuse glioma suffer from cognitive deficits in one or more domains. Cognitive functioning, especially for the domains executive functioning (EF) and memory, is an independent prognostic factor for overall survival. A possible explanation for this prognostic effect is that patients with cognitive deficits receive less intensive treatment, or do not tolerate treatment as well as other patients. METHODS Retrospective cohort study of patients with a diffuse glioma (WHO grade 2–4) who underwent an awake craniotomy, with pre-operative neuropsychological testing, followed by adjuvant radio- and/or chemotherapy. Outcome measures were (a) choice of adjuvant treatment, compared to appropriate treatment according to contemporary guidelines; (b) intensity and compliance: number of received treatment cycles, and adherence to prescribed medication; and (c) complications. Cognitive deficits (in one or more domains, Z-score < -2), as well as deficits in the domains EF and memory, were correlated to the outcome measures. RESULTS We included 187 consecutive patients. Cognitive deficits in one or more domains, EF or memory were neither associated to the choice of treatment (adherence to guidelines), nor to intensity or compliance of treatment. Having a cognitive deficit was associated with an increased risk of complications (P < .001), including severe complications (CTCAE grade 3–5, p < .05). A deficit in EF was also associated with more complications (p < .005). This risk of complications was increased for the categories of infectious, cerebral, gastro-intestinal and hematological complications. CONCLUSION Of all patients with a diffuse glioma, patients with cognitive deficits have an increased risk of complications of postoperative antineoplastic therapy. Choice of, intensity of, and compliance to treatment did not differ from cognitively intact patients. The increased risk of complications may form an explanation for the poor prognosis of glioma patients with cognitive deficits.


2021 ◽  
Vol 23 (Supplement_6) ◽  
pp. vi46-vi46
Author(s):  
Fumi Higuchi ◽  
Takeo Uzuka ◽  
Keisuke Ueki

Abstract Oligodendrogliomas with 1p/19q-codeletion are relatively slow progressive tumors that show good response to chemo-radiation therapy after resection. The median survival is about 15 years regardless of WHO grade, although recurrences are mostly inevitable and there is no standard treatment for recurrence. We experienced 5 oligodendroglioma cases who underwent re-radiation for recurrent tumors after chemo-radiation treatment. We retrospectively investigated those for response to re-radiation, the duration from first radiation to second radiation, and Karnofsky Performance Status (KPS) before and after the re-radiation. Patients were all male; the median radiation dose for primary tumor was 60Gy (54-60Gy), the median age at first radiation was 46 years (35-59), the median duration from the first radiation to re-radiation was 65 months (range 18-116 months), and the median follow-up period after re-radiation was 15 months (1-39 months). In all 5 cases, tumors showed good response to re-radiation. In 3 of the 5 cases, tumor recurred in corpus callosum and/or lateral side of cerebral hemisphere or basal ganglia contiguous with primary tumor sites and were radiated by IMRT (50Gy/25fr) . In 2 cases, tumors recurred around the fourth ventricle and posterior fossa and underwent conventional radiation (54Gy/30fr and 30Gy/10fr). In 2 of the 5 cases, the tumors re-recurred 24 months later after re-radiation, but the KPS were maintained until re-recurrence. For oligodendrogliomas, re-radiation therapy appears to be very effective to recurrent tumors after first chemo-radiation. Although evaluation for longer-term side effects is to be examined, re-radiation appears to be a good option for recurrent oligodendrogliomas after first chemo-radiation therapy.


2020 ◽  
Author(s):  
Irena T Schouwenaars ◽  
Miek J de Dreu ◽  
Geert-Jan M Rutten ◽  
Nick F Ramsey ◽  
Johan M Jansma

Abstract Background The main goal of this functional MRI (fMRI) study was to examine whether cognitive deficits in glioma patients prior to treatment are associated with abnormal brain activity in either the central executive network (CEN) or default mode network (DMN). Methods Forty-six glioma patients, and 23 group-matched healthy controls (HCs) participated in this fMRI experiment, performing an N-back task. Additionally, cognitive profiles of patients were evaluated outside the scanner. A region of interest–based analysis was used to compare brain activity in CEN and DMN between groups. Post hoc analyses were performed to evaluate differences between low-grade glioma (LGG) and high-grade glioma (HGG) patients. Results In-scanner performance was lower in glioma patients compared to HCs. Neuropsychological testing indicated cognitive impairment in LGG as well as HGG patients. fMRI results revealed normal CEN activation in glioma patients, whereas patients showed reduced DMN deactivation compared to HCs. Brain activity levels did not differ between LGG and HGG patients. Conclusions Our study suggests that cognitive deficits in glioma patients prior to treatment are associated with reduced responsiveness of the DMN, but not with abnormal CEN activation. These results suggest that cognitive deficits in glioma patients reflect a reduced capacity to achieve a brain state necessary for normal cognitive performance, rather than abnormal functioning of executive brain regions. Solely focusing on increases in brain activity may well be insufficient if we want to understand the underlying brain mechanism of cognitive impairments in patients, as our results indicate the importance of assessing deactivation.


2020 ◽  
Vol 196 (10) ◽  
pp. 856-867 ◽  
Author(s):  
Martin Kocher ◽  
Maximilian I. Ruge ◽  
Norbert Galldiks ◽  
Philipp Lohmann

Abstract Background Magnetic resonance imaging (MRI) and amino acid positron-emission tomography (PET) of the brain contain a vast amount of structural and functional information that can be analyzed by machine learning algorithms and radiomics for the use of radiotherapy in patients with malignant brain tumors. Methods This study is based on comprehensive literature research on machine learning and radiomics analyses in neuroimaging and their potential application for radiotherapy in patients with malignant glioma or brain metastases. Results Feature-based radiomics and deep learning-based machine learning methods can be used to improve brain tumor diagnostics and automate various steps of radiotherapy planning. In glioma patients, important applications are the determination of WHO grade and molecular markers for integrated diagnosis in patients not eligible for biopsy or resection, automatic image segmentation for target volume planning, prediction of the location of tumor recurrence, and differentiation of pseudoprogression from actual tumor progression. In patients with brain metastases, radiomics is applied for additional detection of smaller brain metastases, accurate segmentation of multiple larger metastases, prediction of local response after radiosurgery, and differentiation of radiation injury from local brain metastasis relapse. Importantly, high diagnostic accuracies of 80–90% can be achieved by most approaches, despite a large variety in terms of applied imaging techniques and computational methods. Conclusion Clinical application of automated image analyses based on radiomics and artificial intelligence has a great potential for improving radiotherapy in patients with malignant brain tumors. However, a common problem associated with these techniques is the large variability and the lack of standardization of the methods applied.


2020 ◽  
Vol 22 (Supplement_2) ◽  
pp. ii149-ii149
Author(s):  
Lazaros Lazaridis ◽  
Sied Kebir ◽  
Manuel Weber ◽  
Teresa Schmidt ◽  
Kathy Keyvani ◽  
...  

Abstract BACKGROUND Advanced imaging techniques entered the field of neurooncology. In this analysis we compare the diagnostic potential of 18F-fluorethyltyrosine (FET) positron emission tomography (PET) and magnetic resonance spectroscopy (MRS) in their potential to preoperatively predict certain glioma subtypes. AIMS Goal of this analysis ist the evaluation of FET PET and MRS regarding the preoperative prediction of glioma subtypes. METHODS We analyzed 33 patients with histopathologically confirmed newly diagnosed glioma. The patients received FET PET and MRS during one single preoperative diagnostic session. According to the molecular portfolio patients were subdivided in IDH wildtype glioblastoma patients (GBM), IDH wildtype WHO grade II/III glioma patients (Astro_IDHwt), IDH mutant WHO grade II/III glioma patients without 1p/19q codeletion (Astro_IDHmut) and with 1p/19q codeletion (ODG). Mean and maximum tumor-to-brain ratio (TBRmean and TBRmax), N-acetylaspartate, choline and creatine peaks were correlated with postoperative tumor diagnosis. To gain generalizable implications we subdivided the study cohort into a development and validation subcohort. A support vector machine model was fitted to the development subcohort and evaluated on the validation subcohort. Receiver operating characteristic curve served to assess model performance. RESULTS GBM patients had highest TBRmax and TBRmean values (mean: 3.5 and 3.8) and the ODG patients showed the second highest TBRmax and TBRmean values (mean: 2.6 and 3). The distribution of MRS markers exhibited to clear trend. The performance of glioma subtyping was comparatively low for the TBR values (AUC: 0.68) and even lower for the MRS markers (AUC: 0.60). These results are in line with preliminary investigations performed by our institute for the comparison of 11C-methionine PET with MRS in preoperative glioma subtyping. CONCLUSIONS FET PET and MRS bear limited potential in glioma subgrouping. However, FET PET appears to be slightly superior. Investigation in a larger cohort is required to draw definite conclusions.


2019 ◽  
Vol 21 (Supplement_3) ◽  
pp. iii81-iii81
Author(s):  
A F Keßler ◽  
J Weiland ◽  
T Linsenmann ◽  
R Ernestus ◽  
C Hagemann ◽  
...  

Abstract BACKGROUND The addition of Tumor Treating Fields (TTFields) to the first-line therapy in glioblastoma (GBM) demonstrated significantly improved progression free survival, overall survival and longterm survival rates in the EF-14 phase 3 trial. However, responder analysis of patients with recurrent GBM (rGBM) treated with TTFields monotherapy (in the EF-11 trial) revealed delayed response monitored by MRI analysis. More recent data suggests that O-(2-18F-fluoroethyl)-L-tyrosine (FET) PET may add valuable information for monitoring therapy response of glioblastoma patients treated with TTFields. Here, we report on FET PET response in a patient with progressive anaplastic astrocytoma WHO grade III (AA) treated with TTFields in combination with temozolomide (TMZ) chemotherapy. METHODS We present a 38-year old patient with an initial diagnosis of a diffuse astrocytoma WHO grade II in 2011, and malignisation to an AA on progression. The treatment regimen included initially radio-chemotherapy (RCT) with TMZ. On further progression of the AA in 2017, TTFields were added to another 6 cycles of TMZ. Several FET PET scans for differentiation of tumor progression from treatment-related changes were performed over time. The definitive diagnosis (tumor progression and grading) was confirmed by histopathology after stereotactic biopsy (SB). RESULTS In 2012, the patient was first diagnosed with a low grade astrocytoma WHO grade II of the right frontal, temporal and parietal lobe including infiltration of thalamus and corpus was confirmed by SB, followed by irradiation. On progression in 2015, a FET PET Scan showed FET avidity in all tumor affected regions of the brain. SB confirmed an AA, while FET PET scans showed only a mild response in the temporoparietal region after 6 cycles of TMZ. In 2017, the next progression without further malignisation was confirmed by SB and treated RCT with 41.4 Gy and TMZ chemotherapy, followed by application of TTFields with an average usage rate of 85.7 % over 6 months. Thus, the TTFields adherence was well above the independent prognostic threshold of 75 %. No additional adverse events due to the combined therapy of TTFields and TMZ were observed. Due to a new contrast enhancing lesion in the right frontal lobe (10x7mm), another FET PET scan was performed 1.5 years later. In this scan, obtained after combined TTFields and RCT therapy a strong response regarding FET avidity was observed. CONCLUSION In summary, FET PET is able to add important additional information for evaluation of treatment response in high grade glioma patients, in particular for TTFields treated patients, while adding TTFields to radiochemotherapy might even enhance treatment response of high grade glioma. Further studies might elucidate the role of FET PET imaging for therapy monitoring in high grade glioma patients treated with TTFields.


Neurosurgery ◽  
2015 ◽  
Vol 78 (3) ◽  
pp. 401-411 ◽  
Author(s):  
Mohammed Jaber ◽  
Johannes Wölfer ◽  
Christian Ewelt ◽  
Markus Holling ◽  
Martin Hasselblatt ◽  
...  

Abstract BACKGROUND: Approximately 20% of grade II and most grade III gliomas fluoresce after 5-aminolevulinic acid (5-ALA) application. Conversely, approximately 30% of nonenhancing gliomas are actually high grade. OBJECTIVE: The aim of this study was to identify preoperative factors (ie, age, enhancement, 18F-fluoroethyl tyrosine positron emission tomography [18F-FET PET] uptake ratios) for predicting fluorescence in gliomas without typical glioblastomas imaging features and to determine whether fluorescence will allow prediction of tumor grade or molecular characteristics. METHODS: Patients harboring gliomas without typical glioblastoma imaging features were given 5-ALA. Fluorescence was recorded intraoperatively, and biopsy specimens collected from fluorescing tissue. World Health Organization (WHO) grade, Ki-67/MIB-1 index, IDH1 (R132H) mutation status, O6-methylguanine DNA methyltransferase (MGMT) promoter methylation status, and 1p/19q co-deletion status were assessed. Predictive factors for fluorescence were derived from preoperative magnetic resonance imaging and 18F-FET PET. Classification and regression tree analysis and receiver-operating-characteristic curves were generated for defining predictors. RESULTS: Of 166 tumors, 82 were diagnosed as WHO grade II, 76 as grade III, and 8 as glioblastomas grade IV. Contrast enhancement, tumor volume, and 18F-FET PET uptake ratio &gt;1.85 predicted fluorescence. Fluorescence correlated with WHO grade (P &lt; .001) and Ki-67/MIB-1 index (P &lt; .001), but not with MGMT promoter methylation status, IDH1 mutation status, or 1p19q co-deletion status. The Ki-67/MIB-1 index in fluorescing grade III gliomas was higher than in nonfluorescing tumors, whereas in fluorescing and nonfluorescing grade II tumors, no differences were noted. CONCLUSION: Age, tumor volume, and 18F-FET PET uptake are factors predicting 5-ALA-induced fluorescence in gliomas without typical glioblastoma imaging features. Fluorescence was associated with an increased Ki-67/MIB-1 index and high-grade pathology. Whether fluorescence in grade II gliomas identifies a subtype with worse prognosis remains to be determined.


2012 ◽  
Vol 33 (6) ◽  
pp. E2 ◽  
Author(s):  
Paul S. Echlin ◽  
Elaine N. Skopelja ◽  
Rachel Worsley ◽  
Shiroy B. Dadachanji ◽  
D. Rob Lloyd-Smith ◽  
...  

Object The primary objective of this study was to measure the incidence of concussion according to a relative number of athlete exposures among 25 male and 20 female varsity ice hockey players. The secondary objective was to present neuropsychological test results between preseason and postseason play and at 72 hours, 2 weeks, and 2 months after concussion. Methods Every player underwent baseline assessments using the Sport Concussion Assessment Tool-2 (SCAT2), Immediate Post-Concussion Assessment and Cognitive Test (ImPACT), and MRI. Each regular season and postseason game was observed by 2 independent observers (a physician and a nonphysician observer). Players with a diagnosed concussion were removed from the game, examined in the team physician's office using the SCAT2 and ImPACT, and sent to undergo MRI. Results Eleven concussions occurred during the 55 physician-observed games (20%). The incidence of concussion, expressed as number of concussions per 1000 athlete exposures, was 10.70 for men and women combined in regular season play, 11.76 for men and women combined across both the regular season and playoff season, 7.50 for men and 14.93 for women in regular season play, and 8.47 for men across both the regular season and playoff season. One male player experienced repeat concussions. No concussions were reported during practice sessions, and 1 concussion was observed and diagnosed in an exhibition game. Neuropsychological testing suggested no statistically significant preseason/postseason differences between athletes who sustained a physician-diagnosed concussion and athletes who did not sustain a physician-diagnosed concussion on either the ImPACT or SCAT2. The athletes who sustained a physician-diagnosed concussion demonstrated few reliable changes postinjury. Conclusions Although the incidence of game-related concussions per 1000 athlete exposures in this study was half the highest rate reported in the authors' previous research, it was 3 times higher than the incidence reported by other authors within the literature concerning men's collegiate ice hockey and 5 times higher than the highest rate previously reported for woman's collegiate ice hockey. Interestingly, the present results suggest a substantively higher incidence of concussion among women (14.93) than men (7.50). The reproducible and significantly higher incidence of concussion among both men and woman ice hockey players, when compared with nonphysician-observed games, suggests a significant underestimation of sports concussion in the scientific literature.


2021 ◽  
Author(s):  
Kyan Younes ◽  
Valentina Borghesani ◽  
Maxime Montembeault ◽  
Salvatore Spina ◽  
Ariane E Welch ◽  
...  

Anterior temporal lobe (ATL) degeneration is caused by a pathological process that has a focal onset in the left or right hemisphere. Patients with left-lateralized ATL atrophy typically meet criteria for semantic variant primary progressive aphasia (PPA), a clinical syndrome characterized by loss of verbal semantic knowledge. There is less consensus regarding the symptoms that emerge when atrophy targets the right ATL (rATL), but previous studies have emphasized prosopagnosia as well as alterations in emotion, memory, behavior, and semantic knowledge, symptoms that often lead to a diagnosis of behavioral variant frontotemporal dementia (bvFTD). The goal of the present study was to characterize the cognitive and socioemotional deficits of patients with rATL degeneration in order to refine current conceptualizations of the rATL clinical syndrome. We identified individuals clinically diagnosed as bvFTD or PPA in our cohort of patients prospectively evaluated for FTD-spectrum disorders. We selected patients who also underwent structural MRI and a comprehensive, multidisciplinary evaluation (n = 478). Based on structural MRI atrophy index, individuals with predominant, rATL atrophy (n = 46) were identified and patients with co-occurrence of significant frontal atrophy were excluded. Nineteen patients with rATL degeneration had undergone autopsy. We used the clinical histories to identify early symptoms and examined the cognitive, socioemotional, genetic, and pathological profiles of patients with rATL degeneration. In patients with rATL degeneration, the most common early clinical symptoms were loss of empathy (27%), person-specific semantic knowledge (23%), and complex compulsions (18%). On socioemotional testing and informant-reported measures, patients exhibited diminished interpersonal warmth, empathy, and emotional theory of mind. Neuropsychological testing revealed deficits in identifying famous people and discriminating facial affect despite preserved face perception. FTLD-TDP was the most frequent pathological correlate of rATL degeneration (84%), followed by Pick type (10%), a subtype of FTLD-tau. Our results indicate that patients with early, rATL-predominant degeneration present with a behavioral syndrome that results from loss of empathy for others. The underlying mechanism is a progressive loss of semantic knowledge for concepts of social-emotional relevance. We herein refer to this syndrome as emotional semantic variant frontotemporal dementia. We propose novel diagnostic criteria for this rATL syndrome in order to facilitate early identification in clinical and research settings. This classification is relevant because, if appropriately diagnosed, these patients most often have FTLD-TDP Type-C pathology.


2021 ◽  
Vol 11 ◽  
Author(s):  
Marcus Unterrainer ◽  
Viktoria Ruf ◽  
Katharina von Rohr ◽  
Bogdana Suchorska ◽  
Lena Maria Mittlmeier ◽  
...  

ObjectiveThe mutation of the ‘telomerase reverse transcriptase gene promoter’ (TERTp) has been identified as an important factor for individual prognostication and tumorigenesis and will be implemented in upcoming glioma classifications. Uptake characteristics on dynamic 18F-FET PET have been shown to serve as additional imaging biomarker for prognosis. However, data on the correlation of TERTp-mutational status and amino acid uptake on dynamic 18F-FET PET are missing. Therefore, we aimed to analyze whether static and dynamic 18F-FET PET parameters are associated with the TERTp-mutational status in de-novo IDH-wildtype glioblastoma and whether a TERTp-mutation can be predicted by dynamic 18F-FET PET.MethodsPatients with de-novo IDH-wildtype glioblastoma, WHO grade IV, available TERTp-mutational status and dynamic 18F-FET PET scan prior to any therapy were included. Here, established clinical parameters maximal and mean tumor-to-background-ratios (TBRmax/TBRmean), the biological-tumor-volume (BTV) and minimal-time-to-peak (TTPmin) on dynamic PET were analyzed and correlated with the TERTp-mutational status.ResultsOne hundred IDH-wildtype glioblastoma patients were evaluated; 85/100 of the analyzed tumors showed a TERTp-mutation (C228T or C250T), 15/100 were classified as TERTp-wildtype. None of the static PET parameters was associated with the TERTp-mutational status (median TBRmax 3.41 vs. 3.32 (p=0.362), TBRmean 2.09 vs. 2.02 (p=0.349) and BTV 26.1 vs. 22.4 ml (p=0.377)). Also, the dynamic PET parameter TTPmin did not differ in both groups (12.5 vs. 12.5 min, p=0.411). Within the TERTp-mutant subgroups (i.e., C228T (n=23) &amp; C250T (n=62)), the median TBRmax (3.33 vs. 3.69, p=0.095), TBRmean (2.08 vs. 2.09, p=0.352), BTV (25.4 vs. 30.0 ml, p=0.130) and TTPmin (12.5 vs. 12.5 min, p=0.190) were comparable, too.ConclusionUptake characteristics on dynamic 18F-FET PET are not associated with the TERTp-mutational status in glioblastoma However, as both, dynamic 18F-FET PET parameters as well as the TERTp-mutation status are well-known prognostic biomarkers, future studies should investigate the complementary and independent prognostic value of both factors in order to further stratify patients into risk groups.


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