Intraoperative label-free tissue diagnostics using a stimulated Raman histology imaging system with artificial intelligence: An initial experience.

Background: Accurate intraoperative tissue diagnostics could impact on decision making regarding the extent of resection (EOR) during brain tumor surgery. Stimulated Raman histology (SRH) is a label-free optical imaging method that uses different biochemical properties of tissue to generate a hematoxylin-eosin-like image and, in combination with an artificial intelligence-based image classifier, offers the opportunity to obtain rapid intraoperative tissue diagnoses.

Objective: The goal of this study was to report on our initial experience with SRH to evaluate its accuracy in comparison to final tissue diagnosis.

Intracranial angioleiomyoma: a case series of seven patients and review of the literature.

Purpose: Angioleiomyoma, predominantly arising from the extremities, is a benign soft tissue tumor. Reports on its intracranial location are rare. We assessed clinical, radiological, and pathological features of intracranial angioleiomyoma (iALM) treated at our neurosurgical institution.

Comparison of anatomical-based vs. nTMS-based risk stratification model for predicting postoperative motor outcome and extent of resection in brain tumor surgery.

Background: Two statistical models have been established to evaluate characteristics associated with postoperative motor outcome in patients with glioma associated to the motor cortex (M1) or the corticospinal tract (CST). One model is based on a clinicoradiological prognostic sum score (PrS) while the other one relies on navigated transcranial magnetic stimulation (nTMS) and diffusion-tensor-imaging (DTI) tractography. The objective was to compare the models regarding their prognostic value for postoperative motor outcome and extent of resection (EOR) with the aim of developing a combined, improved model.

Intracerebral mucormycosis after COVID-19: illustrative cases.

Background: In this case report the authors present two female patients with intracranial mucormycosis after coronavirus disease 2019 (COVID-19).

Observations: The first patient was a 30-year-old woman with no past medical history or allergies who presented with headaches and vomiting. Magnetic resonance imaging (MRI) and computed tomography of the skull showed an endonasal infection, which had already destroyed the frontal skull base and caused a large frontal intracranial abscess.

Predicting the Extent of Resection of Motor-Eloquent Gliomas Based on TMS-Guided Fiber Tracking.

Background: Surgical planning with nTMS-based tractography is proven to increase safety during surgery. A preoperative risk stratification model has been published based on the M1 infiltration, RMT ratio, and tumor to corticospinal tract distance (TTD). The correlation of TTD with corticospinal tract to resection cavity distance (TRD) and outcome is needed to further evaluate the validity of the model.

Bicentric validation of the navigated transcranial magnetic stimulation motor risk stratification model.

Objective: The authors sought to validate the navigated transcranial magnetic stimulation (nTMS)-based risk stratification model. The postoperative motor outcome in glioma surgery may be preoperatively predicted based on data derived by nTMS. The tumor-to-tract distance (TTD) and the interhemispheric resting motor threshold (RMT) ratio (as a surrogate parameter for cortical excitability) emerged as major factors related to a new postoperative deficit.