Citations

Abstract BACKGROUND Gliomas with CDKN2A mutations are known to have worse prognosis but imaging features of these gliomas are unknown. Our goal is to identify CDKN2A specific qualitative imaging biomarkers in glioblastomas using a new informatics workflow that enables rapid analysis of qualitative imaging features with Visually AcceSAble Rembrandtr Images (VASARI) for large datasets in PACS. Gliomas with CDKN2A mutations are known to have worse prognosis but imaging features of these gliomas are unknown. Our goal is to identify CDKN2A specific qualitative imaging biomarkers in glioblastomas using a new informatics workflow that enables rapid analysis of qualitative imaging features withVisually AcceSAble Rembrandtr Images (VASARI) for large datasets in PACS. MATERIAL AND METHODS Sixty nine patients undergoing GBM resection with CDKN2A status determined by whole-exome sequencing were included. GBMs on magnetic resonance images were automatically 3D segmented using deep learning algorithmsincorporated within PACS. VASARI features were assessed using FHIR forms integrated within PACS. RESULTS GBMs without CDKN2A alterations were significantly larger (64% vs. 30%, p=0.007) compared to tumors with homozygous deletion (HOMDEL) and heterozygous loss (HETLOSS). Lesions larger than 8 cm were four times more likely to have no CDKN2A alteration (OR: 4.3; 95% CI:1.5-12.1; p<0.001). The pial invasion was predictive of HOMDEL (OR: 8.1, 95% CI: 1.8-53.2; p<0.012) as tumors with pial invasion were eight times more likely to be HOMDEL, even after adjusting for deep white matter and subependymal invasion. CONCLUSION We developed a novel integrated PACS informatics platform for the assessment of GBM molecular subtypes and show that tumors with HOMDEL are more likely to have radiographic evidence of pial invasion and less likely to have deep white matter invasion or subependymal invasion. These imaging features may allow noninvasive identification of CDKN2A allele status.

Abstract BACKGROUND Although glioblastoma (GBM) is the most common malignant primary brain tumor in adults, extracranial metastasis is rare, occurring in <2% of cases. This rarity has been attributed to the blood brain barrier, immunologic factors, lack of traditional lymphatics in the brain, and the poor prognosis of GBM, limiting its opportunity to metastasize. When GBM does metastasize, bone is the most common destination. GBM may spread hematogenously to bone, especially to vertebral bodies via the surrounding venous plexus. In this single-institution study, we review the clinical characteristics of GBM patients with osseous metastases and evaluate potential risk factors and prognostic significance. MATERIAL AND METHODS Using an institutional database, we identified and retrospectively analyzed 6 GBM patients with osseous metastases and studied their demographics, tumor genetics, clinical courses, and outcomes. RESULTS Five of 6 (83%) GBM patients with osseous metastases were male, with a median age of 46 years at GBM diagnosis (range: 20-84). All patients had IDH wild type and MGMT unmethylated GBM with mutations in TP53. Two patients (33%) were initially diagnosed with gliosarcoma. All patients were treated with surgical resection followed by radiation with concurrent and adjuvant temozolomide. Five patients (83%) received bevacizumab for vasogenic edema (n=4) or intracranial tumor progression (n=1) prior to bone metastasis diagnosis. Bone metastases were diagnosed a median of 12.2 months (range: 5.3-35.2) after GBM diagnosis and 4.8 months after starting bevacizumab (range: 3.5-13.2). Two patients (33%) received immune checkpoint inhibitor therapy and two patients (33%) received tumor-treating fields prior to bone metastasis discovery. Bone metastases were symptomatic in 2 patients, presenting with back pain (n=1) and leg weakness and urinary incontinence (n=1). Three patients (50%) had concurrent metastases to other organs. Osseous metastases were biopsy-confirmed in 3 (50%) cases, while the other 3 patients had no known alternative malignancy to explain their bone metastases. After osseous metastasis discovery, the median survival was 27 days (range: 13-225). CONCLUSION Most of our GBM patients with osseous metastases were male and most, but not all, were young at GBM diagnosis. Tumor genetics common to all patients included IDH wild type, MGMT unmethylated status, and TP53 mutation, which may be important for osseous metastasis. Most patients received bevacizumab, which may be associated with earlier metastasis. While rare, metastatic GBM should be within the differential for GBM patients with bone pain or progressive neurologic symptoms, as osseous metastases portend a dismal prognosis in an already aggressive malignancy.

Abstract BACKGROUND Neurofibromatosis type 2-related schwannomatosis (NF2) is an autosomal dominant tumor-predisposition syndrome characterized by bilateral vestibular schwannomas (VS) as well as other nervous system tumors. Management decisions for NF2-related VS are typically predicated on tumor size, associated symptoms, patient age, and comorbidities. Observation, surgical resection, and stereotactic radiosurgery can be viable options. In patients with VS associated with NF2, vascular endothelial growth factor A (VEGF-A) inhibitor, bevacizumab, is a systemic treatment option. In this single institution study, we review our clinical experience in patients with NF2 who received bevacizumab for VS and evaluate the effect of bevacizumab treatment on VS growth and symptom progression. MATERIAL AND METHODS This is a retrospective analysis of patients seen at the Mayo Clinic Rochester Multidisciplinary NF2 Clinic. Three-dimensional volumetric data for VS were measured using manual segmentation with Visage PACS software under the direct supervision of a board-certified neuroradiologist. RESULTS Out of 76 patients with NF2 evaluated in the past 3 years, we identified 19 that received treatment with bevacizumab. Median age of NF2 diagnosis was 19 years (range 0.5-61) with a median NF2 phenotype severity score of 2 (range 1-3). Thirteen of these patients have discontinued bevacizumab, accounting for a median duration of 12.2 months (range 3.3-88 months) of bevacizumab treatment. Bevacizumab was discontinued due to hypertension (n=5), proteinuria and renal dysfunction (n=3), tumor progression (n=2), fatigue or other intolerance (n=2), or non-compliance (n=1). The remaining 6 patients are currently receiving bevacizumab treatment for a median duration of 9.4 months as of March 2023 (range 3.7-48.3 months). Fifteen patients had brain MRI data available to evaluate VS change during bevacizumab treatment, with partial response observed in 5 patients, stable disease in 8, and progression in 2. Ten of the 13 patients who stopped bevacizumab had MRI data to evaluate VS change following treatment termination. Within 6 months of bevacizumab discontinuation, 6 patients had rebound growth of their VS between 21-95% from their previous tumor volume, while 4 did not. Three patients with rebound growth went on to have surgery or irradiation for VS management. CONCLUSION Our single institution experience confirms that bevacizumab can slow progression of VS and symptoms associated with VS growth. However, we note that there is the potential for rapid VS growth following bevacizumab discontinuation, for which we propose heightened surveillance imaging and symptom monitoring for at least 6 months upon stopping anti-VEGF therapy.

Abstract BACKGROUND The microenvironment of glioblastoma is complex and defined in part by protumorigenic metabolic changes. Within this microenvironment, blood-brain barrier disruption is often associated with the most aggressive portions of the tumor. To date, the metabolic tumor microenvironments of enhancing, blood-brain barrier (BBB) disrupted portions of gliomas, as compared to BBB-intact tumor, remain poorly understood. Specifically, it is unclear if the associated blood-brain barrier disruption merely reflects or functionally supports tumor aggressiveness. METHODS Intra-operative high-molecular weight microdialysis was utilized under an investigational device exemption (NCT NCT04047264) to sample the extracellular metabolome of radiographically diverse regions during fifteen neurosurgical resections. The global extracellular metabolome of recovered microdialysate from contrast-enhancing and non-enhancing tumor, as well as brain adjacent to tumor, was evaluated via ultra-performance liquid chromatography tandem mass spectrometry (UPLC-MS/MS) on the Metabolon platform and assessed using enrichment and correlation analyses. RESULTS Among 162 named metabolites identified via ultra-performance liquid chromatography tandem mass spectrometry, a novel glioma-associated metabolite, guanidinoacetate (GAA), was 126.32x higher in enhancing tumor than in adjacent brain and 13.63x higher in non-enhancing tumor than brain. Forty-eight additional metabolites were 2.05-10.18x more abundant in enhancing tumor than brain, including carnitine family members and all nine large neutral amino acids. Except for GAA and 2-hydroxyglutarate in IDH-mutant gliomas, differences between non-enhancing tumor and brain microdialysate were comparatively modest and less consistent, suggesting heterogeneity in the glioma metabolic microenvironment of blood-brain barrier (BBB) intact areas as compared to BBB-disrupted portions of gliomas. Interestingly, the enhancing but not the non-enhancing glioma metabolome was significantly enriched for plasma-associated metabolites, largely comprising amino acids and carnitines. CONCLUSION Our patient-derived data suggest that the BBB-disrupted metabolome of high-grade gliomas is characterized by metabolite diffusion from circulation into the tumor microenvironment. Further studies are ongoing to determine how this alteration in the glioma extracellular metabolome impacts glioma behavior and how it could be therapeutically targeted via BBB-modulating drugs.

Abstract BACKGROUND Treatment of recurrent high-grade glioma remains a clinical challenge. There are very few agents active in this disease and short of enrollment in a clinical trial, the choice of therapy for a patient at the time of recurrence remains challenging. Several groups, including our own have developed ex vivo drug sensitivity assays to evaluate susceptibility of the tumor tissue to specific chemotherapeutics. To our knowledge, there is only one commercially available platform from the US based company Kiyatec. This tool, in addition to the molecular analysis of the tumor might provide another layer of confidence in choosing treatments for patients with recurrent high-grade gliomas. MATERIAL AND METHODS We present the data from our initial experience with the 3D PredictTM platform (Kiyatec, Greenville, SC, USA). We used the platform for 6 patients with recurrent high-grade gliomas undergoing tumor resection at the time of recurrence. We followed the company protocol for obtaining, preserving and shipping the tissue. RESULTS Out of the 6 specimens shipped for analysis, 4 assays were completed with full results available for analysis and clinical use. In two cases, the ex vivo tissue expansion was unsuccessful and drug testing was not completed. For the remaining 4 cases, spheroids created from the expansion of the harvested tissue were exposed to 12 drugs (temozolomide, lomustine, procarbazine, abemaciclib, carboplatin, dabrafenib, etoposide, everolimus, irinotecan, osimertinib, rucaparib and trametinib). We have observed different levels of sensitivity to several agents graded as: NO RESPONSE, MODERATE RESPONSE and RESPONSE. In 3 cases the results were used for clinical decision making and 2 patients were started on temozlomidede and carboplatin respectively and remain on treatment. In one case where sensitivity to etoposide was detected, we were not able to proceed with therapy due to insurance denial for the chosen drug. CONCLUSION In our experience, this platform is easy to use in a standard clinical setting, the success rate for creating viable spheroids for testing is high and the information derived from the drug sensitivity testing can be useful in clinical practice. Large, prospective clinical trial is need to validate this approach for routine clinical use.

Abstract BACKGROUND Liquid biopsy in glioblastoma (GBM) is hindered by a lack of requisite circulating-free DNA (cfDNA) levels in blood due to the blood-brain barrier (BBB). This results in challenges to the identification of blood-based biomarkers and the development of novel biomarker-driven systemic therapies. Real-time image-guided low intensity focused ultrasound (LIFU) combined with intravenously administered microbubble oscillators non-invasively causes BBB disruption (BBBD). This clinical trial aimed to evaluate the utility of LIFU for increasing cfDNA in blood for liquid biopsy in GBM. METHODS LIBERATE is a prospective, multi-center, self-controlled, ongoing, pivotal trial evaluating the safety and technical efficacy of LIFU for BBBD to increase cfDNA in blood for GBM. Patients aged 18-80 years with suspected GBM planned for tumor biopsy or resection at ten centers in the US are being included. Patients with multifocal tumors or tumors arising from deep midline, thalamus, cerebellum, or brainstem are excluded. Patients are administered intravenous oscillating microbubbles for enhancing sonication, after which MR-guided BBBD using a 220 kHz LIFU device is performed with real-time acoustic feedback for effective cavitation. Before and after the procedure, phlebotomies and MRI brain are performed to evaluate outcomes. The primary study endpoint is defined, per subject, as the ratio between their cfDNA level in blood 1-hour post-LIFU procedure compared to cfDNA level in blood pre-procedure. The primary study hypothesis is that BBBD with LIFU leads to a ≥2-fold increase in cfDNA in blood. The secondary hypothesis is that there exists ≥75% agreement between biomarker pattern in cfDNA sample from 1-hour post-LIFU sample and biomarker pattern in tumor tissue obtained later. The trial has been powered to evaluate both primary and secondary hypotheses. Based on an assumed true agreement rate of 91% and a one-sided alpha of 0.025, an exact test for binomial proportions provides a sample of N=50 with 84% power for the secondary hypothesis. Exploratory endpoints include (1) sensitivity of detection of known somatic mutations in cfDNA from blood samples collected before and after LIFU, (2) estimation of cfDNA levels post-LIFU in samples collected at 30 minutes, 1 hour, 2 hours, and 3 hours to determine the time of greatest yield, (3) correlation of MRI parameters related to grading of BBBD and biomarkers positive in cfDNA from post-LIFU blood samples. RESULTS Patient enrollment commenced in 2022, and 8 patients have been recruited by 04/11/2023. CONCLUSION Findings from this trial will be critical to liquid biopsy in GBM (Clinical trial information: NCT05383872).

Abstract BACKGROUND Differentiating radiation necrosis from tumour progression after radiation therapy (RT) for brain metastases (BM) remains clinically challenging, and accurate imaging is crucial to prevent unnecessary surgery or unwarranted changes in therapy. 18F-Fluciclovine is a PET radiopharmaceutical with low background uptake in the brain and increased uptake in BM. The PURSUE study (NCT04410367) aimed to establish image interpretation criteria (IIC) for detecting suspected recurrent BM after RT using 18F-fluciclovine PET, based on several measures of lesion uptake. MATERIAL AND METHODS Across 7 US sites, 23 patients with solid tumour BM and a previously irradiated ‘reference’ lesion equivocal for recurrence on MRI who were scheduled for craniotomy underwent 18F-fluciclovine PET (185 MBq) <42 days post-MRI and 1-21 days pre-craniotomy. Three independent, blinded readers qualitatively rated lesion 18F-fluciclovine uptake as ‘mild’ (up to blood pool), ‘moderate’ (above blood pool to parotid gland), or ‘marked’ (above parotid gland). The primary endpoint was the diagnostic performance of different thresholds of lesion uptake on qualitative (visual) reads vs central histopathology. Secondary endpoints included diagnostic performance, based on different thresholds, of quantitative (e.g., lesion standardized uptake value [SUV]), and dynamic measures. A committee, including two independent imaging physicians, reviewed all data to establish the IIC, which were subsequently used to evaluate the diagnostic performance of 18F-fluciclovine. RESULTS All 23 reference lesions underwent histopathological analysis, with 10 (43%) being pathologically confirmed BM recurrence. The highest performing qualitative measure of 18F-fluciclovine lesion uptake was ‘marked’, rendering 92-100% and variable (40-80%) across readers. SUVmax was a reader-independent, high-performing quantitative metric (AUC 0.87, SUVmax threshold 4.8, 80% sensitivity, 85% specificity). Dynamic measures did not add diagnostic value. Thus, the committee established IIC as: "Lesions with 18F-fluciclovine uptake of a SUVmax equal to or greater than 4.8, or visually greater than the parotid gland, should be considered suspicious for recurrence. Otherwise, recurrence should be considered unlikely." Application of these IIC resulted in 80% sensitivity, 77-85% specificity, 73-80% positive predictive value, and 83-85% negative predictive value across readers. CONCLUSION PURSUE is the first prospective, multicentre study to define IIC for 18F-fluciclovine PET for accurate identification of suspected recurrent BM after RT, verified by histopathology. In this initial cohort, the IIC convey excellent diagnostic performance for 18F-fluciclovine and will help evaluate 18F-fluciclovine PET in future studies. This study was sponsored by Blue Earth Diagnostics Ltd.

Abstract Background Left ventricular assist devices (LVAD) have an associated infection rate of 13%–80% postimplant. An optimal strategy for surgical infection prophylaxis (SIP) at the time of implantation has not been well defined. We aimed to evaluate the different LVAD implantation antibiotic prophylaxis regimens as well as the incidence of LVAD infection at our institution. Methods We performed a single-center, retrospective study of patients who underwent LVAD implantation between February 2007 and June 2019. The primary outcome was the incidence of LVAD infection (LVADI), within 3 months and 1 year of placement, between patients who received expanded or narrow-spectrum regimens for SIP. We assessed outcomes using Kaplan-Meier, time-to-first event. We used a noninferiority analysis, which was established if the narrow-spectrum event rate was no more than 5% greater than the expanded-spectrum event rate. Results We included 399 patients, 305 (76.4%) patients received narrow-spectrum SIP, whereas the remaining 94 (23.6%) patients received the expanded-spectrum regimen. Statistical noninferiority of the narrow spectrum to the multiple drug regimen was demonstrated at both time points, and statistical superiority of the narrow-spectrum group across 12-month follow up was further evident (P = .037). Conclusions We report evidence supporting noninferiority, or even superiority, of the narrow-spectrum over expanded-spectrum antimicrobial prophylaxis strategy with respect to LVADI. These findings support data-driven antimicrobial prophylaxis strategies.

Abstract Purpose A human cadaveric model combining standard lung protective mechanical ventilation and modified cardiac bypass techniques was developed to allow investigation into automated modes of detection of venous air emboli (VAE) prior to in vivo human or animal investigations. Methods In this study, in order to create an artificial cardiopulmonary circuit in a cadaver that could mimic VAE physiology, the direction of flow was reversed from conventional cardiac bypass. Saline was circulated in isolation through the heart and lungs as opposed to the peripheral organs by placing the venous cannula into the aorta and the arterial cannula into the inferior vena cava with selective ligation of other vessels. Results Mechanical ventilation and this reversed cardiac bypass scheme allowed preliminary detection of VAE independently but not in concert in our current simulation scheme due to pulmonary edema in the cadaver. A limited dissection approach was used initially followed by a radical exposure of the great vessels, and both proved feasible in terms of air signal detection. We used electrical impendence as a preliminary tool to validate detection in this cadaveric model however we theorize that it would work for echocardiographic, intravenous ultrasound or other novel modalities as well. Conclusion A cadaveric model allows monitoring technology development with reduced use of animal and conventional human testing.