OBJECTIVE: Craniopharyngioma is a benign but surgically challenging brain tumor. Controversies exist regarding its ideal treatment strategy, goals of surgery, efficacy of radiation, and the long-term outcomes of these decisions. The authors of this study performed a detailed analysis of factors predictive of the extent of resection and recurrence in large series of craniopharyngiomas removed via an endoscopic endonasal approach (EEA) with long-term follow-up. METHODS: From a prospective database of all EEAs done at Weill Cornell Medical College by the senior author from 2004 to 2022, a consecutive series of histologically proven craniopharyngiomas were identified. Gross-total resection (GTR) was generally the goal of surgery. Radiation was often given if GTR had not been achieved. The stalk was preserved if not infiltrated with tumor but was sacrificed to achieve GTR. Intentional subtotal resection (STR) was performed in select cases to avoid hypothalamic injury. RESULTS: Among the 111 identified cases were 88 adults and 23 children. Newly diagnosed cases comprised 58.6% of the series. GTR was attempted in 77.5% of the patients and among those cases was achieved in 89.5% of treatment-naive tumors and 72.4% of recurrent tumors. An inability to achieve GTR was predicted by prior surgical treatment (OR 0.13, 95% CI 0.03–0.6, p = 0.009), tumor diameter ≥ 3.5 cm (OR 0.11, 95% CI 0.02–0.53, p = 0.006), and encasement of the optic nerve or a major artery (OR 0.11, 95% CI 0.01–0.8, p = 0.03). GTR with stalk preservation maintained some anterior pituitary function in 64.5% of cases and prevented diabetes insipidus in 25.8%. After a median follow-up of 51 months (IQR 17–80 months), the recurrence rate after GTR was 12.5% compared with 38.5% after non-GTR. The median recurrence-free survival was 5.5 years after STR, 8.3 years after near-total resection (≥ 98%), and not reached after GTR (p = 0.004, log-rank test). GTR was the strongest predictor of recurrence-free survival (OR 0.09, 95% CI 0.02–0.42, p = 0.002), whereas radiation did not show a statistically significant impact (OR 1.17, 95% CI 0.45–3.08). In GTR cases, the recurrence rate was higher if the stalk had been preserved (22.6%) as opposed to a sacrificed stalk (4.9%; OR 5.69, 95% CI 1.09–29.67). CONCLUSIONS: The study data show that GTR should be the goal of surgery in craniopharyngiomas if it can be achieved safely. Although stalk preservation can maintain some endocrine function, the risk of recurrence is higher in such cases. Radiation may not be as effective as previously reported.

The superior cerebellar artery (SCA) arises from the distal part of the basilar artery and passes by the oculomotor, trochlear, and trigeminal nerves. SCA is known to play a crucial role in the development of trigeminal neuralgia. However, due to its anatomical variability, it may also trigger other neurovascular compression (NVC), including hemifacial spasm, oculomotor nerve palsy, and ocular neuromyotonia. Additionally, it may be associated with ischemic syndromes and aneurysm development, highlighting its clinical significance. The most common anatomical variations of the SCA include duplication, a single vessel origin from the posterior cerebral artery (PCA), and a common trunk with PCA. Rarely observed variants include bifurcation and origin from the internal carotid artery. Certain anatomical variants such as early bifurcation and caudal course of duplicated SCA trunk may increase the risk of NVC. In this narrative review, we aimed to examine the impact of the anatomical variations of SCA on the NVCs based on papers published in Pubmed, Scopus, and Web of Science databases with a snowballing approach. Our review emphasizes the importance of a thorough understanding of the anatomical variability of SCA to optimize the management of patients with NVCs associated with this artery.

The aim of our study was to identify risk factors for recanalization 6 months after coil embolization using clinical data followed by computational fluid dynamics (CFD) analysis. Methods: Firstly, clinical data of 184 patients treated with coil embolization were analyzed retrospectively. Secondly, aneurysm models for high/low recanalization risk were generated based on ROC curves and their cut-off points. Afterward, CFD was utilized to validate the results. Results: In multivariable analysis, aneurysm filling during the first embolization was an independent risk factor whilst packing density was a protective factor of recanalization after 6 months in patients with aSAH. For patients with unruptured aneurysms, packing density was found to be a protective factor whilst the aneurysm neck size was an independent risk factor. Complex flow pattern and multiple vortices were associated with aneurysm shape and were characteristic of the high recanalization risk group. Conclusions: Statistical analysis suggested that there are various factors influencing recanalization risk. Once certain values of morphometric parameters are exceeded, a complex flow with numerous vortices occurs. This phenomenon was revealed due to CFD investigations that validated our statistical research. Thus, the complex flow pattern itself can be treated as a relevant recanalization predictor.

Diagnostic delays in patients with brain cancer are common and can impact patient outcome. Development of a blood-based assay for detection of brain cancers could accelerate brain cancer diagnosis. In this study, we analyzed genome-wide cell-free (cfDNA) fragmentomes, including fragmentation profiles and repeat landscapes, from the plasma of individuals with (n = 148) or without (n = 357) brain cancer. Machine learning analyses of cfDNA fragmentome features detected brain cancer across all-grade gliomas (AUC = 0.90; 95% confidence interval, 0.87–0.93), and these results were validated in an independent prospectively collected cohort. cfDNA fragmentome changes in patients with gliomas represented a combination of fragmentation profiles from glioma cells and altered white blood cell populations in the circulation. These analyses reveal the properties of cfDNA in patients with brain cancer and open new avenues for noninvasive detection of these individuals. Significance: Brain cancer is one of the deadliest and most challenging cancers to detect with liquid biopsy approaches in blood, hampering efforts for earlier noninvasive diagnosis. We have developed a machine learning genome-wide cfDNA fragmentation method that provides a sensitive and accessible approach for brain cancer detection.