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High-grade gliomas remain the most common primary brain tumour with limited treatments options and early recurrence rates following adjuvant treatments. However, differentiating true tumour progression (TTP) from treatment-related effects or pseudoprogression (PsP), may critically influence subsequent management options. Structural MRI is routinely employed to evaluate treatment responses, but misdiagnosis of TTP or PsP may lead to continuation of ineffective or premature cessation of effective treatments, respectively. A systematic review and meta-analysis were conducted in accordance with the Preferred Reporting Items for Systematic Reviews and Meta-analyses method. Embase, MEDLINE, Web of Science and Google Scholar were searched for methods applied to differentiate PsP and TTP, and studies were selected using pre-specified eligibility criteria. The sensitivity and specificity of included studies were summarised. Three of the identified methods were compared in a separate subgroup meta-analysis. Thirty studies assessing seven distinct neuroimaging methods in 1372 patients were included in the systematic review. The highest performing methods in the subgroup analysis were DWI (AUC = 0.93 [0.91–0.95]) and DSC-MRI (AUC = 0.93 [0.90–0.95]), compared to DCE-MRI (AUC = 0.90 [0.87–0.93]). 18F-fluoroethyltyrosine PET (18F-FET PET) and amide proton transfer-weighted MRI (APTw-MRI) also showed high diagnostic accuracy, but results were based on few low-powered studies. Both DWI and DSC-MRI performed with high sensitivity and specificity for differentiating PsP from TTP. Considering the technical parameters and feasibility of each identified method, the authors suggested that, at present, DSC-MRI technique holds the most clinical potential.

BACKGROUND:In contrast to benign meningiomas, malignant meningiomas (MM) are rare and associated with an unfavourable prognosis. Reports on MM concern fairly small cohorts, often comprising less than 30 cases. OBJECTIVE:To describe the outcome MM and identify factors that may influence survival. METHODS:Pathology reports and clinical data of 178 patients treated between 1989 and 2017 for a MM at 6 different international institutions were retrospectively reviewed. Seventy-six patients (42.7%) had a previous history of grade I or grade II meningioma. The patients underwent a total of 380 surgical resections and 72.5% received radiotherapy. Median follow-up was 4.5 yr. RESULTS:At data collection, 111 patients were deceased (63.4%) and only 23 patients (13.7%) were alive without any residual tumor on the most recent scan. Median overall survival was 2.9 yr, 95% confidence interval [CI; 2.4, 4.5]. Overall survival rates at 1, 5, and 10 yr, respectively, were77.7%, 95% CI [71.6, 84.3], 40%, 95% CI [32.7, 49], and 27.9%, 95% CI [20.9, 37.3]. In the multivariable analysis, age at MM surgery <65 yr (hazard ratio [HR] = 0.44, 95% CI [0.29, 0.67], P < .001), previous benign or atypical meningioma surgery (HR = 1.9, 95% CI [1.23, 2.92], P = .004), completeness of resection (HR = 0.51, 95% CI [0.34, 0.78], P = .002), and adjuvant radiotherapy (HR = 0.64, 95% CI [0.42, 0.98], P = .039) were established as independent prognostic factors for survival. CONCLUSION:This large series confirms the poor prognosis associated with MM, the treatment of which remains challenging. Patients under 65-yr-old with primary MM may live longer after complete resection and postoperative radiotherapy. Even with aggressive treatments, local control remains difficult to achieve.

Purpose Surveillance of patients with high-grade glioma (HGG) and identification of disease progression remain a major challenge in neurooncology. This study aimed to develop a support vector machine (SVM) classifier, employing combined longitudinal structural and perfusion MRI studies, to classify between stable disease, pseudoprogression and progressive disease (3-class problem). Methods Study participants were separated into two groups: group I (total cohort: 64 patients) with a single DSC time point and group II (19 patients) with longitudinal DSC time points (2-3). We retrospectively analysed 269 structural MRI and 92 dynamic susceptibility contrast perfusion (DSC) MRI scans. The SVM classifier was trained using all available MRI studies for each group. Classification accuracy was assessed for different feature dataset and time point combinations and compared to radiologists’ classifications. Results SVM classification based on combined perfusion and structural features outperformed radiologists’ classification across all groups. For the identification of progressive disease, use of combined features and longitudinal DSC time points improved classification performance (lowest error rate 1.6%). Optimal performance was observed in group II (multiple time points) with SVM sensitivity/specificity/accuracy of 100/91.67/94.7% (first time point analysis) and 85.71/100/94.7% (longitudinal analysis), compared to 60/78/68% and 70/90/84.2% for the respective radiologist classifications. In group I (single time point), the SVM classifier also outperformed radiologists’ classifications with sensitivity/specificity/accuracy of 86.49/75.00/81.53% (SVM) compared to 75.7/68.9/73.84% (radiologists). Conclusion Our results indicate that utilisation of a machine learning (SVM) classifier based on analysis of longitudinal perfusion time points and combined structural and perfusion features significantly enhances classification outcome ( p value= 0.0001).

Background: Isocitrate Dehydrogenase 1/2 (IDH 1/2)-wildtype (WT) astrocytomas constitute a heterogeneous group of tumors and have undergone a series of diagnostic reclassifications over time. This study aimed to investigate molecular markers, clinical, imaging, and treatment factors predictive of outcomes in WHO grade 2/3 IDH-WT astrocytomas (‘early glioblastoma’). Methodology: Patients with WHO grade 2/3 IDH-WT astrocytomas were identified from the hospital archives. They were cross-referenced with the electronic medical records systems, including neuroimaging. The expert neuro-pathology team retrieved data on molecular markers—MGMT, TERT, IDH, and EGFR. Tumors with a TERT mutation and/or EGFR amplification were reclassified as glioblastoma. Results: Fifty-four patients were identified. Sixty-three percent of the patients could be conclusively reclassified as glioblastoma based on either TERT mutation, EGFR amplification, or both. On imaging, 65% showed gadolinium enhancement on MRI. Thirty-nine patients (72%) received long-course radiotherapy, of whom 64% received concurrent chemotherapy. The median follow-up of the group was 16 months (range: 2–90), and the median overall survival (OS) was 17.3 months. The 2-year OS of the whole cohort was 31%. On univariate analysis, older age, worse performance status (PS), and presence versus absence of contrast enhancement on diagnostic MRI were statistically significant for poorer OS. Conclusion: IDH-WT WHO grade 2/3 astrocytomas are a heterogeneous group of tumors with poor clinical outcomes. The majority can be reclassified as glioblastoma, based on current WHO classification criteria, but further understanding of the underlying biology of these tumors and the discovery of novel targeted agents are needed for better outcomes.

ObjectiveThis study aims to develop a comprehensive process map for patients with brain tumours to identify opportunities for quality improvement and automated data collection. Through optimising workflows, the overall goal is to improve patient recruitment to clinical trials.DesignA two-stage mixed methods design, combining qualitative development of a process map with quantitative validation using electronic health records (EHR). Following this, a cross-sectional survey was conducted to assess how patients learn about clinical trials.SettingA single neurosurgery centre in the United Kingdom.ParticipantsThe process map was developed through stakeholder interviews with neuro-oncology multidisciplinary team members and patients (n=13). Clinical encounters were validated with EHR data from 50 patients. A cross-sectional survey presented the validated process map to 25 postoperative patients to identify the resources they used to learn about ongoing clinical trials.InterventionsPostoperative questionnaires were given to patients after brain tumour surgery, either on the ward or in follow-up clinic.Primary and secondary outcome measuresThe primary outcome was the percentage of the study cohort that was present at encounters on the process map. Key timepoints were defined if >80% of patients were present. They represent high-yield opportunities to offer information on clinical trial recruitment. The secondary outcome was the resources used by patients to learn about ongoing clinical trials.ResultsQuantitative validation of patient pathways identified 345 encounters involving 19 discrete events, including clinics, telephone follow-ups and treatments. The flow of encounters reflected the process map with 90.7% accuracy, with key timepoints identified at imaging and biopsy/surgical procedures. A cross-sectional survey conducted during outpatient neuro-oncology clinics identified that patients predominantly used self-directed internet searches (n=17, 68%) and verbal information from their neurosurgeon (n=16, 64%) to learn about clinical trials.ConclusionsThis study demonstrates the effectiveness of process mapping in identifying key timepoints for automated data collection and opportunities for quality improvement for clinical trial recruitment. Integrating online and in-clinic education strategies could enhance patient awareness and participation in clinical trials.

ObjectivesBrain tumours lead to significant morbidity including a neurocognitive, physical and psychological burden of disease. The extent to which they impact the multiple domains of health is difficult to capture leading to a significant degree of unmet needs. Mobile health tools such as Vinehealth have the potential to identify and address these needs through real-world data generation and delivery of personalised educational material and therapies. We aimed to establish the feasibility of Vinehealth integration into brain tumour care, its ability to collect real-world and (electronic) patient-recorded outcome (ePRO) data, and subjective improvement in care.DesignA mixed-methodology IDEAL stage 1 study.SettingA single tertiary care centre.ParticipantsSix patients consented and four downloaded and engaged with the mHealth application throughout the 12 weeks of the study.Main outcome measuresOver a 12-week period, we collected real-world and ePRO data via Vinehealth. We assessed qualitative feedback from mixed-methodology surveys and semistructured interviews at recruitment and after 2 weeks.Results565 data points were captured including, but not limited to: symptoms, activity, well-being and medication. EORTC QLQ-BN20 and EQ-5D-5L completion rates (54% and 46%) were impacted by technical issues; 100% completion rates were seen when ePROs were received. More brain cancer tumour-specific content was requested. All participants recommended the application and felt it improved care.ConclusionsOur findings indicate value in an application to holistically support patients living with brain cancer tumours and established the feasibility and safety of further studies to more rigorously assess this.

Background: IDH-wildtype glioblastoma is the most common malignant primary brain tumour in adults. As there is limited information on prognostic factors outside of clinical trials; thus, we conducted a retrospective study to characterise the glioblastoma population at our centre. Methods: Demographic, tumour molecular profiles, treatment, and survival data were collated for patients diagnosed with glioblastoma at our centre between July 2011 and December 2015. We used multivariate proportional hazard model associations with survival. Results: 490 patients were included; 60% had debulking surgery and 40% biopsy only. Subsequently, 56% had standard chemoradiotherapy, 25% had non-standard chemo/radio-therapy, and 19% had no further treatment. Overall survival was 9.2 months. In the multivariate analysis, longer survival was associated with debulking surgery vs. biopsy alone (14.9 vs. 8 months) (HR 0.54 [95% CI 0.41–0.70]), subsequent treatment after diagnosis (HR 0.12 [0.08–0.16]) (standard chemoradiotherapy [16.9 months] vs. non-standard regimens [9.2 months] vs. none [2.0 months]), tumour MGMT promotor methylation (HR 0.71 [0.58–0.87]), and younger age (hazard ratio vs. age < 50: 1.70 [1.26–2.30] for ages 50–59; 3.53 [2.65–4.70] for ages 60–69; 4.82 [3.54–6.56] for ages 70+). Conclusions: The median survival for patients with glioblastoma is less than a year. Younger age, debulking surgery, treatment with chemoradiotherapy, and MGMT promotor methylation are independently associated with longer survival.

Purpose There are limited treatment options for progressive atypical pituitary adenomas and carcinomas. Peptide receptor radionuclide therapy that targets somatostatin receptors has recently been proposed as a potential treatment option. The theoretical rationale for efficacy is elegant but evaluation of outcomes in the first patients treated for this indication is required to assess whether further study is warranted. Methods We performed a case review of the three pituitary patients we have treated with 177 Lutetium DOTATATE in our institution (two atypical adenomas, one carcinoma) and dosimetric analysis of the radiation uptake in one patient. Results Treatment was well tolerated. One patient with slowly progressive pituitary carcinoma has stable disease 40 months after completing the planned 4 cycles of treatment. Two patients with rapidly progressive atypical adenomas terminated treatment early due to continued disease progression. Dosimetric evaluation revealed inhomogenous uptake across the tumour (1.3–11.9 Gy with one cycle). Conclusion We have found mixed results in our first 3 patients with stable disease achieved only in the patient with the more slowly progressive tumour. As only a limited number of centres offer Peptide receptor radionuclide therapy, a formal study with prospective data collection may be feasible and if carried out should include dosimetric evaluation of absorbed dose.

Radiotherapy remains the mainstay of multidisciplinary management of patients with incompletely resected and recurrent craniopharyngioma. Advances in imaging and radiotherapy technology offer new alternatives with the principal aim of improving the accuracy of treatment and reducing the volume of normal brain receiving significant radiation doses. We review the available technologies, their technical advantages and disadvantages and the published clinical results. Fractionated high precision conformal radiotherapy with image guidance remains the gold standard; the results of single fraction treatment are disappointing and hypofractionation should be used with caution as long term results are not available. There is insufficient data on the use of protons to assess the comparative efficacy and toxicity. The precision of treatment delivery needs to be coupled with experienced infrastructure and more intensive quality assurance to ensure best treatment outcome and this should be carried out within multidisciplinary teams experienced in the management of craniopharyngioma. The advantages of the combined skills and expertise of the team members may outweigh the largely undefined clinical gain from novel radiotherapy technologies.

This is the first article that investigates whether the patient-reported outcome measures (PROMs) used in clinical trials effectively capture the specific side-effects of radiotherapy and proton beam therapy (PBT) and provides context for researchers selecting PROMs for clinical trials. PROMs from radiotherapy trials were identified from previous research and assessed against the United Kingdom Royal College of Radiologists’ guidelines for tumour-site-specific side-effects. The analysis revealed that none of the 51 identified PROMs captured the full range of side-effects, with only 25 addressing fatigue and 6 addressing radiation-induced skin reactions. Three PROMs failed to identify any common side-effects, and eight identified only one. Overall, 88% of PROMs lacked specificity to radiotherapy and PBT, posing a risk of missing significant differences between treatment techniques. This study emphasises the need for more targeted PROMs in future trials. Until new or improved PROMs are available, great thought and caution should be taken when selecting PROMs for trial endpoints.