Combining ultrasound and microelectrode recordings for postoperative localization of subthalamic electrodes in Parkinson's disease.

OBJECTIVE: To assess transcranial sonography (TCS) as stand-alone tool and in combination with microelectrode recordings (MER) as a method for the postoperative localization of deep brain stimulation (DBS) electrodes in the subthalamic nucleus (STN). METHODS: Individual dorsal and ventral boundaries of STN (n = 12) were determined on intraoperative MER. Postoperatively, a standardized TCS protocol was applied to measure medio-lateral, anterior-posterior and rostro-caudal electrode position using visualized reference structures (midline, substantia nigra). TCS and combined TCS-MER data were validated using fusion-imaging and clinical outcome data. RESULTS: Test-retest reliability of standard TCS measures of electrode position was excellent. Computed tomography and TCS measures of distance between distal electrode contact and midline agreed well (Pearson correlation; r = 0.86; p < 0.001). Comparing our "gold standard" of rostro-caudal electrode localization relative to STN boundaries, i.e. combining MRI-based stereotaxy and MER data, with the combination of TCS and MER data, the measures differed by 0.32 ± 0.87 (range, -1.35 to 1.25) mm. Combined TCS-MER data identified the clinically preferred electrode contacts for STN-DBS with high accuracy (Cohens kappa, 0.86). CONCLUSIONS: Combined TCS-MER data allow for exact localization of STN-DBS electrodes. SIGNIFICANCE: Our method provides a new option for monitoring of STN-DBS electrode location and guidance of DBS programming in Parkinson's disease.

Newly Diagnosed IDH-Wildtype Glioblastoma and Temporal Muscle Thickness: A Multicenter Analysis.

BACKGROUND: Reduced temporal muscle thickness (TMT) has been discussed as a prognostic marker in IDH-wildtype glioblastoma. This retrospective multicenter study was designed to investigate whether TMT is an independent prognostic marker in newly diagnosed glioblastoma. METHODS: TMT was retrospectively measured in 335 patients with newly diagnosed glioblastoma between 1 January 2014 and 31 December 2019 at the University Hospitals of Leipzig and Rostock. The cohort was dichotomized by TMT and tested for association with overall survival (OS) after 12 months by multivariate proportional hazard calculation. RESULTS: TMT of 7.0 mm or more was associated with increased OS (46.3 ± 3.9% versus 36.6 ± 3.9%, p > 0.001). However, the sub-groups showed significant epidemiological differences. In multivariate proportional hazard calculation, patient age (HR 1.01; p = 0.004), MGMT promoter status (HR 0.76; p = 0.002), EOR (HR 0.61), adjuvant irradiation (HR 0.24) and adjuvant chemotherapy (HR 0.40; all p < 0.001) were independent prognostic markers for OS. However, KPS (HR 1.00, p = 0.31), BMI (HR 0.98, p = 0.11) and TMT (HR 1.06; p = 0.07) were not significantly associated with OS. CONCLUSION: TMT has not appeared as a statistically independent prognostic marker in this cohort of patients with newly diagnosed IDH-wildtype glioblastoma.

Volumetric assessment of glioblastoma and its predictive value for survival.

BACKGROUND: The objective of this study was to evaluate the morphology of glioblastoma on structural pretreatment magnetic resonance imaging (MRI), defining imaging prognostic factors. METHOD: We conducted a retrospective analysis of MR images from 114 patients harboring a primary glioblastoma, derived from two neurosurgical departments. Tumor segmentation was carried out in a semi-automated fashion. Tumor compartments comprised contrast-enhancing volume (CEV+), perifocal hyperintensity on fluid-attenuated inversion recovery (FLAIR) images (FLAIR+) excluding CEV+, and a non-enhancing area within the CEV+ lesion (CEV-). Additionally, two ratios were calculated from these volumes, the edema-tumor ratio (ETR) and necrosis-tumor ratio (NTR). All patients received surgical resection, followed by concomitant radiation and chemotherapy. RESULTS: Tumor segmentation revealed the strongest correlation between the CEV+ volume and the CEV-, presenting intratumoral necrosis (p < 0.001). The relation between the tumor surrounding the FLAIR+ area and the CEV+ volume and the ETR is inversely correlated (p = 0.001). The most important prognostic factor in multivariable analysis was NTR (HR 2.63, p = 0.016). The cut-off value in our cohort for NTR was 0.33, equivalent to a decrease in survival if the necrotic core of the tumor (CEV-) accounts for more than 33% of the tumor mass itself (CEV+). CONCLUSIONS: Our data emphasizes the importance of the necrosis-tumor ratio as a biomarker in glioblastoma imaging, rather than single tumor compartment volumes. NTR can help to identify a subset of tumors with a higher resistance to therapy and a dismal prognosis.

Association Between Tumor Compartment Volumes, the Incidence of Pretreatment Seizures, and Statin-Mediated Protective Effects in Glioblastoma.

BACKGROUND: Seizures are a common initial symptom of malignant brain tumors such as glioblastoma (GBM). However, why some of these tumors are epileptogenic and others never trigger seizures remains controversial. OBJECTIVE: To identify potential clinical and radiological features of epileptogenic tumors and the effect of initial seizures on survival. METHODS: The analyzed patient cohort was retrospectively compiled (bicentric), only isocitrate dehydrogenase wild-type GBMs were included. Volumetric assessment was performed on pretreatment magnetic resonance imaging with the aid of a semi-automated 3D measurement (tumor, necrosis, and edema volume). Two ratios were calculated, reflecting the proportion of peritumoral edema and necrosis (NTR) toward the tumor volume. For overall survival analyses, only patients after a surgical resection (residual tumor volume <2 cm3) followed by standard radiation and chemotherapy were included. RESULTS: Pretreatment seizures occurred in 33% of cases (n = 224), younger patients (≤60 yr) were predominantly affected (P = .022). All measured volumes were inversely correlated with the onset of seizures (P = .001). In multivariate analyses, the total tumor volume and the NTR were considerably smaller within epileptogenic GBMs (P = .050, P = .019, respectively). A positive statin intake was associated with significantly lesser seizure (P = .007, odds ratio 4.94). Neither the occurrence of seizures nor the intake of statins had an impact on OS (P = .357, P = .507, respectively). CONCLUSION: The size and amount of necrosis was significantly smaller in epileptogenic GBMs, maybe owed to the fact that these tumors were clinically detected at an earlier stage of their growth. Furthermore, the intake of statins was associated with a decreased occurrence of pretreatment seizures.

Correlation of Ki-67 Index with Volumetric Segmentation and its Value as a Prognostic Marker in Glioblastoma.

OBJECTIVE: Previous research has shown a strong correlation between the Ki-67 proliferation index and grade of malignancy in astrocytoma. Ki-67 has also shown encouraging results as a prognostic marker for patients' overall survival (OS). We focus on whether the index is linked to the appearance of glioblastoma on pretreatment magnetic resonance imaging (MRI) or to OS. METHODS: In our retrospective study, only isocitrate dehydrogenase IDH wild-type glioblastoma was included (n = 152). Ki-67 index was quantified via immunohistochemistry. On all pretreatment MRI, tumor compartments (tumor, necrosis, and edema) were volumetrically assessed. An OS subpopulation was filtered from the total cohort (residual tumor volume ≤2 cm3). In addition, a propensity score matching was executed. RESULTS: All volumetric assessed tumor volumes correlated with each other (P ≤ 0.011), although the Ki-67 index showed no correlation with any of the measured volumes. Concerning the OS, a cutoff value of 20% for the Ki-67 index showed a significant influence on patients' OS in multivariate analysis (P = 0.043). CONCLUSIONS: The unique appearance of every glioblastoma on MRI seems to be independent of the Ki-67 index. Furthermore, the Ki-67 index did show a distinct prognostic value for OS within our cohort at a cutoff value of 20% for Ki-67.

Volumetric quantification of glioblastoma: experiences with different measurement techniques and impact on survival.

The potential impact of different radiological features of glioblastoma multiforme (GBM) on overall survival (OS) like tumor volume, peritumoral edema (PTE), necrosis volume, necrosis-tumor ratio (NTR) and edema-tumor ratio (ETR) is still very controversial. To determine the influence of volumetric data on OS und to compare different measuring techniques described in literature. We prospectively evaluated preoperative MR images from 30 patients harboring a primary supratentorial GBM. All patients received gross-total tumor resection followed by standard radiation and chemotherapy (temozolomide). By 3D semi-automated segmentation, we measured tumor volume, necrosis volume, PTE, postoperative residual tumor volume and calculated ETR, NTR and the extent of resection. After critical review of the existing literature we compared alternative measuring techniques with the gold standard of 3D segmentation. Statistical analysis showed a significant impact of the preoperative tumor and necrosis volumes on OS (p = 0.041, respectively p = 0.039). Furthermore, NTR also showed a significant association with OS (p = 0.005). Comparison of previously described measuring techniques and scorings with our results showed that no other technique is reliable and accurate enough as a predictive tool. The critical review of previously published studies revealed mainly inaccurate measurement techniques and patient selection as potential reasons for inconsistent results. Preoperatively measured necrosis volume and NTR are the most important radiological features of GBM with a strong influence on OS. No other measuring techniques are specific enough and comparable with 3D segmentation.

Effect of 10 different polymorphisms on preoperative volumetric characteristics of glioblastoma multiforme.

There is a distinct diversity between the appearance of every glioblastoma multiforme (GBM) on pretreatment magnetic resonance imaging (MRI) with a potential impact on clinical outcome and survival of the patients. The object of this study was to determine the impact of 10 different single nucleotide polymorphisms (SNPs) on various volumetric parameters in patients harboring a GBM. We prospectively analyzed 20 steroid-naïve adult patients who had been treated for newly diagnosed GBM. The volumetry was performed using MRI with the help of a semiautomated quantitative software measuring contrast enhancing tumor volume including necrosis, central necrosis alone and peritumoral edema (PTE). We calculated ratios between the tumor volume and edema (ETR), respectively necrosis (NTR). SNP analysis was done using genomic DNA extracted from peripheral blood genotyped via PCR and sequencing. There was a strong correlation between tumor volume and PTE (p < 0.001), necrosis (p < 0.001) and NTR (p = 0.003). Age and sex had no influence on volumetric data. The Aquaporin 4-31G > A SNP had a significant influence on the ETR (p = 0.042) by decreasing the measured edema compared with the tumor volume. The Interleukin 8-251A > T SNP was significantly correlated with an increased tumor (p = 0.048), PTE (p = 0.033) and necrosis volume (p = 0.028). We found two SNPs with a distinct impact on pretreatment tumor characteristics, presenting a potential explanation for the individual diversity of GBM appearance on MRI and influence on survival.