Identifying clinical risk in low grade gliomas and appropriate treatment strategies, with special emphasis on the role of surgery

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Crossed brainstem syndrome revealing bleeding brainstem cavernous malformation: an illustrative case

International audienceBackground: Since the nineteenth century, a great variety of crossed brainstem syndromes (CBS) have been described in the medical literature. A CBS typically combines ipsilateral cranial nerves deficits to contralateral long tracts involvement such as hemiparesis or hemianesthesia. Classical CBS seem in fact not to be so clear-cut entities with up to 20% of patients showing different or unnamed combinations of crossed symptoms. In terms of etiologies, acute brainstem infarction predominates but CBS secondary to hemorrhage, neoplasm, abscess, and demyelination have been described. The aim of this study was to assess the proportion of CBS caused by a bleeding episode arising from a brainstem cavernous malformation (BCM) reported in the literature. Case presentation: We present the case of a typical Foville syndrome in a 65-year-old man that was caused by a pontine BCM with extralesional bleeding. Following the first bleeding episode, a conservative management was decided but the patient had eventually to be operated on soon after the second bleeding event. Discussion: A literature review was conducted focusing on the five most common CBS (Benedikt, Weber, Foville, Millard-Gubler, Wallenberg) on Medline database from inception to 2020. According to the literature, hemorrhagic BCM account for approximately 7 % of CBS. Microsurgical excision may be indicated after the second bleeding episode but needs to be carefully weighted up against the risks of the surgical procedure and openly discussed with the patient. Conclusions: In the setting of a CBS, neuroimaging work-up may not infrequently reveal a BCM requiring complex multidisciplinary team management including neurosurgical advice

Robot-assisted multi-level anterior lumbar interbody fusion: an anatomical study.

Place: AustriaBACKGROUND: Minimally invasive surgical approaches still provide limited exposure. Access to the L2-L5 intervertebral discs during a single procedure is challenging and often requires repositioning of the patient and adopting an alternative approach. OBJECTIVES: Investigate the windows to the L2-L5 intervertebral discs to assess the dimensions of the interbody implants suitable for the procedure and evaluate the feasibility of multi-level lumbar intervertebral disc surgery in robot-assisted surgery (RAS) METHODS: Sixteen fresh-frozen cadaveric specimens underwent a retroperitoneal approach to access the L2-L5 intervertebral discs. The L2-L3 to L4-L5 windows were defined as the distance between the left lateral border of the aorta (or nearest common iliac vessel) and the medial border of the psoas, measured in a static state and after gentle medial retraction of the vascular structures. Two living porcine specimens and one cadaveric specimen underwent da Vinci robot-assisted transperitoneal approach to expose the L2-L3 to L4-L5 intervertebral discs and perform multi-level discectomy and interbody implant placement. RESULTS: The L2-L3 to L4-L5 intervertebral disc windows significantly increased from a static to a retracted state (p \textless 0.05). The mean L2-L3, L3-L4, and L4-L5 windows measured respectively 20.1, 21.6, and 19.6 mm in the static state, and 27.2, 30.9, and 30.3 mm after gentle vascular retraction. The intervertebral windows from L2-L3 to L4-L5 were successfully exposed through an anterior transperitoneal approach with the da Vinci robot on the cadaveric and living porcine specimens, and interbody implants were inserted. CONCLUSION: RAS appears to be feasible for a mini-invasive multi-level lumbar intervertebral disc surgery. The RAS procedure, longer and more expensive than conventional MIS approaches, should be reserved for elective patients

Evidence for a critical role of the left inferior parietal lobule and underlying white matter connectivity in proficient text reading

International audienceObjective: Reading proficiency is an important skill for personal and socio-professional daily life. Neurocognitive models underlie a dual-route organization for word reading, in which information is processed by both a dorsal phonological "assembled phonology route" and a ventral lexical-semantic "addressed phonology route." Because proficient reading should not be reduced to the ability to read words one after another, the current study was designed to shed light on the neural bases specifically underpinning text reading and the relative contributions of each route to this skill.Methods: Twenty-two patients with left-sided, diffuse, low-grade glioma who underwent operations while awake were included. They were divided into 3 groups on the basis of tumor location: the inferior parietal lobule (IPL) group (n = 6), inferior temporal gyrus (Tinf) group (n = 6), and fronto-insular (control) group (n = 10). Spoken language and reading abilities were tested in all patients the day before surgery, during surgery, and 3 months after surgery, and cognitive functioning was evaluated before and 3 months after surgery. Text-reading scores obtained before and 3 months after surgery were compared within each group and between groups, correlations between reading scores and both spoken language and cognitive scores were calculated, postoperative cortical-subcortical resection location was estimated, and multiple regression analysis was conducted to examine the relationship between reading proficiency and lesion location.Results: The results indicated that only the patients in the IPL group showed a significant decrease in text-reading scores between periods, which was not associated with lower scores in naming or verbal fluency; patients in the Tinf group showed a slight nonsignificant decrease in text reading between periods, which was associated with a clear decrease in naming and semantic verbal fluency; and patients in the control group showed no differences between preoperative and postoperative reading and spoken language scores. The results of the analysis of these behavioral results and anatomical data (resection cavities and white matter damage) suggest critical roles for the left inferior parietal lobule and underlying white matter connectivity, especially the posterior segment of the arcuate fasciculus, in proficient text reading.Conclusions: Text-reading proficiency may depend on not only the integrity of both processing routes but also their capacity for interaction, with critical roles for the left inferior parietal lobule and posterior arcuate fasciculus. These findings have fundamental as well as clinical implications

Fully endoscopic endonasal approach for the treatment of intrasellar arachnoid cysts

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Ipsilateral vs controlateral approach in tuberculum sellae meningiomas surgery: a retrospective comparative study

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Observation of the compatibility of stimulated Raman histology with pathology workflow and genome sequencing

International audienceWe show that human samples imaged with stimulated Raman histology (SRH) can be successfully used in a typical pathology workflow including hematoxylin and eosin staining (HE), immunohistochemistry, and genome sequencing. We provide a morphological comparison of SRH images with the gold standard HE and HES (HE and saffron) staining over three normal tissues from various organs (liver, kidney, and ileum) and two tumoral brain samples (metastatic adenocarcinoma and glioblastoma). Most importantly, we show that a sample imaged with SRH has a comparable microscopic appearance as a control sample (that was not imaged by SRH) including protein expression evaluated by immunohistochemistry as well as similar genetic alterations evaluated by genome sequencing. This suggests that SRH can provide a direct diagnosis without material preparation nor consumptio

Plasma nanoDSF Denaturation Profile at Baseline Is Predictive of Glioblastoma EGFR Status

International audienceGlioblastoma (GBM) is the most frequent and aggressive primary brain tumor in adults. Recently, we demonstrated that plasma denaturation profiles of glioblastoma patients obtained us‐ ing Differential Scanning Fluorimetry can be automatically distinguished from healthy controls with the help of Artificial Intelligence (AI). Here, we used a set of machine‐learning algorithms to automatically classify plasma denaturation profiles of glioblastoma patients according to their EGFR status. We found that Adaboost AI is able to discriminate EGFR alterations in GBM with an 81.5% accuracy. Our study shows that the use of these plasma denaturation profiles could answer the unmet neuro‐oncology need for diagnostic predictive biomarker in combination with brain MRI and clinical data, in order to allow for a rapid orientation of patients for a definitive pathological diagnosis and then treatment. We complete this study by showing that discriminating another mu‐ tation, MGMT, seems harder, and that post‐surgery monitoring using our approach is not conclu‐ sive in the 48 h that follow the surgery