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Background: The aim of this study was to achieve a consensus on the minimum set of outcome measures and predictors to be used in the neurosurgical practice and on the timing of outcome assessment. Methods: A consensus building approach was employed. All neurosurgical departments in Lombardy (Italy) were invited to participate by the Carlo Besta Neurologic Institute IRCCS Foundation. Three workshops were organized during which a multidisciplinary group called Neurosurgical Outcome Network (NEON) was created and the methodology to select outcome measures, predictors, and timing of outcome assessment was established. Eight working groups were created for the different neurosurgical diseases (neuro-oncological, skull base, vascular, traumatic, spinal, peripheral nervous system, malformation, functional) and 8 workshops were organized to identify the outcome measures and predictors specific for each of the neurosurgical diseases based on the experts' clinical practice and the existing literature. Results: A total of 20 neurosurgical departments participated in this study. Specific outcome measures, predictors and the timing of outcome assessment were identified for each of the 8 neurosurgical diseases. Moreover, a list of variables common to all pathologies were identified by the NEON group as further data to be collected. Conclusions: A consensus on the minimum set of outcome measures and predictors and the timing of outcome assessments for 8 neurosurgical diseases was achieved by a group of neurosurgeons of the Lombardy region, called NEON. These sets could be used in future studies for a more homogeneous data collection and as a starting point to reach further agreement also at national and international level.

(1) Background: Neuroimaging differentiation of glioblastoma, primary central nervous system lymphoma (PCNSL) and solitary brain metastasis (BM) represents a diagnostic and therapeutic challenge in neurosurgical practice, expanding the burden of care and exposing patients to additional risks related to further invasive procedures and treatment delays. In addition, atypical cases and overlapping features have not been entirely addressed by modern diagnostic research. The aim of this study was to validate a previously designed and internally validated ResNet101 deep learning model to differentiate glioblastomas, PCNSLs and BMs. (2) Methods: We enrolled 126 patients (glioblastoma: n = 64; PCNSL: n = 27; BM: n = 35) with preoperative T1Gd-MRI scans and histopathological confirmation. Each lesion was segmented, and all regions of interest were exported in a DICOM dataset. A pre-trained ResNet101 deep neural network model implemented in a previous work on 121 patients was externally validated on the current cohort to differentiate glioblastomas, PCNSLs and BMs on T1Gd-MRI scans. (3) Results: The model achieved optimal classification performance in distinguishing PCNSLs (AUC: 0.73; 95%CI: 0.62–0.85), glioblastomas (AUC: 0.78; 95%CI: 0.71–0.87) and moderate to low ability in differentiating BMs (AUC: 0.63; 95%CI: 0.52–0.76). The performance of expert neuro-radiologists on conventional plus advanced MR imaging, assessed by retrospectively reviewing the diagnostic reports of the selected cohort of patients, was found superior in accuracy for BMs (89.69%) and not inferior for PCNSL (82.90%) and glioblastomas (84.09%). (4) Conclusions: We investigated whether the previously published deep learning model was generalizable to an external population recruited at a different institution—this validation confirmed the consistency of the model and laid the groundwork for future clinical applications in brain tumour classification. This artificial intelligence-based model might represent a valuable educational resource and, if largely replicated on prospective data, help physicians differentiate glioblastomas, PCNSL and solitary BMs, especially in settings with limited resources.

Background Vertebral hemangioma resection can be a real challenge for spine surgeons, given the high potential of massive intraoperative bleeding. For this reason, preoperative transarterial embolization of this tumor is supported by the available literature. Here, we discuss our difficulties in interpreting an unusual clinical and radiologic picture related to the endovascular procedure. Methods and Results A 45-year-old man was referred to our department due to chronic back pain and progressive lower extremity weakness. Radiologic assessment was obtained by means of spinal computed tomography (CT) and magnetic resonance imaging (MRI), which showed an aggressive vertebral hemangioma in T7, compressing the spinal cord. The patient underwent a combined therapeutic approach consisting of preoperative transarterial embolization followed by tumor resection, spinal cord decompression, and posterior thoracic arthrodesis. The patient was dismissed with neither strength nor sensory deficits. Two weeks later, he returned to our department with fever. A new MRI demonstrated multiple areas of altered signal in almost all vertebral bodies from T6 down to the sacrum. After a deep diagnostic process, including new MRI and infectious disease evaluations, the definitive diagnosis of multiple vertebral bone infarction was suggested. Conclusion Vertebral infarctions are an extremely rare complication of spinal endovascular procedures. To our knowledge, this is the first case of multiple postembolization vertebral infarctions, without spinal cord involvement. This peculiarity was explained by the presence of direct anastomoses between a posterior intercostal artery and the underlying vertebral bodies.

Background Despite advances in endoscopic transnasal transsphenoidal surgery (ETNS) for pituitary adenomas (PAs), cerebrospinal fluid (CSF) leakage remains a life-threatening complication predisposing to major morbidity and mortality. In the current study we developed a supervised ML model able to predict the risk of intraoperative CSF leakage by comparing different machine learning (ML) methods and explaining the functioning and the rationale of the best performing algorithm. Methods A retrospective cohort of 238 patients treated via E-TNS for PAs was selected. A customized pipeline of several ML models was programmed and trained; the best five models were tested on a hold-out test and the best classifier was then prospectively validated on a cohort of 35 recently treated patients. Results Intraoperative CSF leak occurred in 54 (22,6%) of 238 patients. The most important risk's predictors were: non secreting status, older age, x-, y- and z-axes diameters, ostedural invasiveness, volume, ICD and R-ratio. The random forest (RF) classifier outperformed other models, with an AUC of 0.84, high sensitivity (86%) and specificity (88%). Positive predictive value and negative predictive value were 88% and 80% respectively. F1 score was 0.84. Prospective validation confirmed outstanding performance metrics: AUC (0,81), sensitivity (83%), specificity (79%), negative predictive value (95%) and F1 score (0,75). Conclusions The RF classifier showed the best performance across all models selected. RF models might predict surgical outcomes in heterogeneous multimorbid and fragile populations outperforming classical statistical analyses and other ML models (SVM, ANN etc.), improving patient management and reducing preventable morbidity and additional costs.

Objective To assess organizational and technical difficulties of neurosurgical procedures during the coronavirus disease 2019 (COVID-19) pandemic and their possible impact on survival and functional outcome and to evaluate virological exposure risk of medical personnel. Methods Data for all urgent surgical procedures performed in the COVID-19 operating room were prospectively collected. Preoperative and postoperative variables included demographics, pathology, Karnofsky performance status (KPS) and neurological status at admission, type and duration of surgical procedures, length of stay, postoperative KPS and functional outcome comparison, and destination at discharge. We defined 5 classes of pathologies (traumatic, oncological, vascular, infection, hydrocephalus) and 4 surgical categories (burr hole, craniotomy, cerebrospinal fluid shunting, spine surgery). Postoperative SARS-CoV-2 infection was checked in all the operators. Results We identified 11 traumatic cases (44%), 4 infections (16%), 6 vascular events (24%), 2 hydrocephalus conditions (8%), and 2 oncological cases (8%). Surgical procedures included 11 burr holes (44%), 7 craniotomies (28%), 6 cerebrospinal fluid shunts (24%), and 1 spine surgery (4%). Mean patient age was 57.8 years. The most frequent clinical presentation was coma (44 cases). Mean KPS score at admission was 20 ± 10, mean surgery duration was 85 ± 63 minutes, and mean length of stay was 27 ± 12 days. Mean KPS score at discharge was 35 ± 25. Outcome comparison showed improvement in 16 patients. Four patients died. Mean follow-up was 6 ± 3 months. None of the operators developed postoperative SARS-CoV-2 infection. Conclusions Standardized protocols are mandatory to guarantee a high standard of care for emergency and urgent surgeries during the COVID-19 pandemic. Personal protective equipment affects maneuverability, dexterity, and duration of interventions without affecting survival and functional outcome.

Object: To investigate those parameters affecting early and follow-up functional outcomes in patients undergoing resection of meningiomas and to design a dedicated predictive score, the Milan Bio(metric)-Surgical Score (MBSS) is hereby presented. Methods: Patients undergoing transcranial surgery for intracranial meningiomas were included. The most significant parameters in the regression analyses were implemented in a patient stratification score and were validated by testing its classification consistency with a clinical–radiological grading scale (CRGS), Milan complexity scale (MCS), and Charlson Comorbidity Index (CCI) scores. Results: The ASA score, Frailty index, skull base and posterior cranial fossa locations, a diameter of >25 mm, and the absence of a brain–tumour interface were predictive of early post-operative deterioration and were collected in MBSS Part A (AUC: 0.965; 95%C.I. 0.890–1.022), while the frailty index, posterior cranial fossa location, a diameter of >25 mm, a edema/tumour volume index of >2, dural sinus invasion, DWI hyperintensity, and the absence of a brain–tumour interface were predictive of a long-term unfavourable outcome and were collected in MBSS Part B (AUC: 0.877; 95%C.I. 0.811–0.942). The score was consistent with CRGS, MCS, and CCI. Conclusion: Patients’ multi-domain evaluation and the implementation of frailty indexes might help predict the perioperative complexity of cases; the functional, clinical, and neurological early outcomes; survival; and overall QoL after surgery.

The etiology of intervertebral disc degeneration is largely unknown, but local neuroinflammation may exert a crucial role through activation of cells as microglia and pro-inflammatory cytokines production. We aimed to compare the effect of degenerated and normal intervertebral disc microenvironment on microglial cells and the potential role of sphingosine-1-phosphate, a pro-inflammatory sphingolipid, in their crosstalk. Human degenerated intervertebral discs (Pfirrmann grade IV) were obtained at surgery for spondylolisthesis. Normal intervertebral discs were collected from cadaveric normal lumbar spines. Normal and degenerated-intervertebral discs were kept in culture to obtain media conditioning. Then, microglial cells were cocultured with conditioned media and viability, proliferation, migration, chemotaxis, and inflammatory gene expression were evaluated. The results demonstrate that conditioned media from degenerated intervertebral discs activate microglial cells, increasing chemotaxis, migration, and pro-inflammatory mediators release to a great extent than normal discs. In addition, we show that the administration of sphingosine-1-phosphate to normal intervertebral disc/microglia coculture mimicked degenerative effects. Interestingly, sphingosine-1-phosphate content in conditioned media from degenerated discs was significantly higher than that from normal ones. In addition, FTY720, a functional antagonist of sphingosine-1-phosphate, potently inhibited the effect of degenerated intervertebral discs on microglial inflammatory factor transcription and migration. Our data report, for the first time, that sphingosine-1-phosphate is involved as signal in the microenvironment of human degenerated intervertebral discs. Sphingosine-1-phosphate signaling modulation by FTY720 may induce beneficial effects in counteracting microglial activation during intervertebral disc degeneration.

Aquaporin4 (AQP4) is a water channel protein located at astrocyte foot processes that plays a role in glymphatic system, a highly organized fluid transport pathway which seems to be involved in Alzheimer's disease (AD) and normal pressure hydrocephalus (NPH) pathophysiology. Cerebrospinal fluid (CSF) AQP4 levels were determined in 11 patients with AD, 10 patients with NPH, and 9 controls. We found significantly reduced AQP4 in AD patients, a trend in reduction in NPH patients, and a correlation between AQP4 and amyloid-β CSF levels. This study indicates the potential role of AQP4 and glymphatic system in neurodegenerative diseases pathophysiology.

Glioblastoma (GBM) is the most malignant and the most frequent of primary astrocytomas, typically involving the Central Nervous System (CNS) alone. Extra-CNS localizations (ECM) are exceptional, and vertebral dissemination is extremely uncommon. We present the case of a patient with vertebral dissemination from an intracranial GBM without intra-dural space invasion. The patient underwent a gross total tumor removal followed by radiation therapy (RT) with concomitant temozolomide chemotherapy (STUPP protocol). Following the appearance of back pain, patient underwent whole body computed tomography (CT) and spinal magnetic resonance imaging (MRI) scan. Spinal-MRI highlighted multiple vertebral lesions not infiltrating dura mater being confined to vertebral bodies. CT scan demonstrated the absence of other repetitive lesions in both thorax and abdomen. Histological examination from a percutaneous CT-guided vertebral biopsy confirmed the suspicious of secondary localization from intracranial GBM. To the best of our knowledge this is the second reported case of vertebral metastases from GBM in absence of other ECM. This case raises the need for clinical suspicious of vertebral dissemination in case of GBM patient presenting with radicular, myelopathic symptoms or less specifically, back pain.

Study Design. Retrospective large population based-study. Objective. Assessment of the epidemiologic trends and economic burden of first spinal fusions. Summary of Background Data. No adequate data are available regarding the epidemiology of spinal fusion surgery and its economic impact in Europe. Methods. The study population was identified through a data warehouse (DENALI), which matches clinical and economic data of different Healthcare Administrative databases of the Italian Lombardy Region. The study population consisted of all subjects, resident in Lombardy, who, during the period January 2001 to December 2010, underwent spinal fusion surgery (ICD-9-CM codes: 81.04, 81.05, 81.06, 81.07, and 81.08). The first procedure was used as the index event. We estimated the incidence of first spinal fusion surgery, the population and surgery characteristics and the healthcare costs from the National Health Service's perspective. The analysis was performed for the entire population and divided into the main groups of diagnosis. Results. The analysis identified 17,772 [mean age (SD): 54.6 (14.5) years, 55.3% females] spinal fusion surgeries. Almost 67% of the patients suffered from a lumbar degenerative disease. The incidence rate of interventions increased from 11.5 to 18.5 per 100,000 person-year between 2001 and 2006, and was above 20.0 per 100,000 person-year in the last 4 years. The patients' mean age increased during the observational time period from 48.1 to 55.9 years; whereas the median hospital length of stay reported for the index event decreased. The average cost of the spinal fusion surgery increased during the observational period, from € 4726 up to € 9388. Conclusion. The study showed an increasing incidence of spinal fusion surgery and costs from 2001 to 2010. These results can be used to better understand the epidemiological and economic burden of these interventions, and help to optimize the resources available considering the different clinical approaches accessible today.

Object In an attempt to identify cortical areas involved in singing in addition to language areas, the authors used a singing task during direct cortical mapping in 5 patients who were amateur singers and had undergone surgery for brain tumors. The organization of the cortical areas involved in language and singing was analyzed in relation with these surgical data. Methods One left-handed and 4 right-handed patients with brain tumors in left (2 cases) and right (3 cases) hemispheres and no significant language or singing deficits underwent surgery with the “awake surgery” technique. All patients had a special interest in singing and were involved in amateur singing activities. They were tested using naming, reading, and singing tasks. Results Outside primary sensorimotor areas, singing interferences were rare and were exclusively localized in small cortical areas (< 1 cm2). A clear distinction was found between speech and singing in the Broca region. In the Broca region, no singing interference was found in areas in which interference in naming and reading tasks were detected. Conversely, a specific singing interference was found in nondominant middle frontal gyri in one patient. This interference consisted of abrupt singing arrest without apparent face, mouth, and tongue contraction. Finally, nonspecific singing interferences were found in the right and left precentral gyri in all patients (probably by interference in final articulatory mechanisms of singing). Conclusions Dissociations between speech and singing found outside primary sensorimotor areas showed that these 2 functions use, in some cortical stages, different cerebral pathways.

Background Osteopetroses are a heterogeneous group of heritable disorders characterized by increased bone density as the result of defective osteoclast-mediated bone resorption. The autosomal-dominant osteopetrosis type I (ADO-I) is defined by the presence of osteosclerosis involving mainly the skull bones, variably associated with compression of the foramina of cranial nerves and vascular structures, hypertelorism, exophthalmos, and less commonly with hydrocephalus, pseudotumor, and Chiari malformation type I. Case Description We describe an adult patient with ADO-I presenting with an atypical association of clinical manifestations that required a tailored management. On admission, the patient complained about chronic headache, recurrent sinusitis, and postnasal drip. Findings of the examination didn't show clear signs of increased intracranial pressure, whereas imaging studies revealed thickening of the skull bones and an unexpected fistula associated with anterior ethmoidal meningoencephalocele. Some days after endoscopic transnasal closure of the fistula, a severe hypertensive hydrocephalus developed, which required a prompt ventriculoperitoneal shunt placement, complicated by a diffuse subarachnoid hemorrhage. The 6-month follow-up showed complete recovery. Conclusions After reviewing the literature, we can confirm that ours was the second case of an adult ADO-I patient associated with anterior ethmoidal meningoencephalocele, the first one needing a combined treatment of the encephalocele and hydrocephalus. Because ADO-I is a rare disease with a wide spectrum of clinical manifestations, our case can represent a prototype for the future management of similar cases.

In an attempt to identify cortical areas involved in singing in addition to language areas, the authors used a singing task during direct cortical mapping in 5 patients who were amateur singers and had undergone surgery for brain tumors. The organization of the cortical areas involved in language and singing was analyzed in relation with these surgical data.One left-handed and 4 right-handed patients with brain tumors in left (2 cases) and right (3 cases) hemispheres and no significant language or singing deficits underwent surgery with the "awake surgery" technique. All patients had a special interest in singing and were involved in amateur singing activities. They were tested using naming, reading, and singing tasks.Outside primary sensorimotor areas, singing interferences were rare and were exclusively localized in small cortical areas (1 cm(2)). A clear distinction was found between speech and singing in the Broca region. In the Broca region, no singing interference was found in areas in which interference in naming and reading tasks were detected. Conversely, a specific singing interference was found in nondominant middle frontal gyri in one patient. This interference consisted of abrupt singing arrest without apparent face, mouth, and tongue contraction. Finally, nonspecific singing interferences were found in the right and left precentral gyri in all patients (probably by interference in final articulatory mechanisms of singing).Dissociations between speech and singing found outside primary sensorimotor areas showed that these 2 functions use, in some cortical stages, different cerebral pathways.

To evaluate if timing of chemotherapy with Temozolomide (TMZ) was able to modify the outcome of glioblastoma (GBM), we analyzed two comparable series of supratentorial GBM patients, treated with surgery and radiotherapy, in which the administration of TMZ has been performed in the first group at first relapse and in the second group in newly diagnosed cases. The end-points were the median survival, the time tumor progression (TTP) and also the Karnofsky (KPS) scale and the Mini Mental State Examination (MMSE) scale at follow-up. From December 1999 to December 2001 30 patients with recurrent GBM received TMZ until progression. From January 2002 to January 2004 38 newly diagnosed patients received a first cycle of TMZ immediately after surgery, and additional cycles after completing radiotherapy until recurrence. In order to obtain a greater drug exposure we adopted a once-daily 10 days schedule of TMZ every 28 days as follows: 150 mg/m(2)/day (day 1-5) and 75 mg/m(2)/day (day 6-10). The first group had a median overall survival of 14 months and a median TTP of 6. The second group had a median survival of 16 months and a median TTP of 10. The difference of TTP was statistically significant (P < 0.001), while the overall survival was not. The values of KPS and MMSE at 12 months demonstrated a better quality of life in the second group (P < 0.01). Our regimen permitted to cover the therapeutic "window" between surgery and the beginning of radiotherapy in newly diagnosed cases and is well tolerated by the patients with limited side effects. We will propose as alternative option when the concomitant radio-chemotherapic protocol is not feasible.

SUMMARY Increased awareness of the importance of environmental protection and the introduction of international standards like ISO 14001 stimulated development of environmental sustainability indicators as a means to measure systems environmental performance. Here, a thermodynamic approach, emergy analysis (Odum, 1988) was used to obtain sustainability indicators able to analyse and quantify the productive and ecological performance of four famous Italian wine productions: Chianti, Brunello di Montalcino, Nobile di Montepulciano, and Barbera d'hti. The application to agricultural production was motivated by the growing need for productive and environmentally sound development in modern agriculture, in which the resource base, the environment, is preserved. The choice of wines, more precisely, grape production, is due to their importance for Italian agriculture and the economy. All the wines demonstrated a good long-term environmental sustainability, especially in view of their high quality and in comparis...