Palatovaginal (pharyngeal) artery: clinical implication and surgical experience

The palatovaginal or pharyngeal artery is a small branch of the internal maxillary artery supplying the nasopharynx. Bleeding from this artery is exceptional and only one case of traumatic epistaxis from this artery has been reported previously. We report a case of a 66-year-old male presenting with right recurrent posterior epistaxis. Endoscopic dissection of the pterygopalatine fossa and direct visualization of the palatosphenoidal canal permitted to identify the origin of bleeding, and coagulation of the pharyngeal artery solved the epistaxis. Although rare, intractable posterior epistaxis may arise from the pharyngeal artery. The anatomical knowledge of this artery and of the palatosphenoidal canal is of outmost importance in endoscopic transpterygoid and nasopharyngeal procedures, to identify the vidian canal, evaluate nasopharyngeal cancer spread in the pterygopalatine fossa, reduce bleeding during surgery of the nasopharynx, and harvest adequately the pedicle of the nasoseptal flap

SP051EXOSOMAL SHUTTLE RNA IN URINARY EXTRACELLULAR VESICLES AS BIOMARKER OF CLEAR CELL RENAL CELL CARCINOMA

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Incidenza della sclerosi multipla in Toscana: uno studio basato su dati amministrativi

INTRODUZIONE L’Italia è un’area ad elevato rischio di sclerosi multipla (SM) con una prevalenza stimata di 110.000 casi e un’incidenza di 3.400 casi annui [1]. Gli ultimi dati pubblicati sulla prevalenza sono 149 casi su 100.000 a Genova nel 2007 [2], 140 casi a Padova nel 2009 [3] e 210 nella parte meridionale della Sardegna nel 2007 [4]. Per quanto riguarda l’incidenza, i dati più recenti sono 5,5 casi su 100.000 a Padova nel periodo 2000-09 [3], 6,6 a Genova nel 1998-2007 [2], e 9,7 in Sardegna nel 2003-07 [4]. Dallo scorso anno è stato attivato in Italia un registro nazionale di SM il quale rappresenterà, nel prossimo futuro, un valido strumento per lo studio dell’epidemiologia di questa malattia. Anche in Toscana è presente, dal 2006, un registro regionale della SM ma, al momento, non è rappresentativo dell’intera popolazione di pazienti. Una possibile alternativa per studiare l’epidemiologia è attraverso i dati amministrativi. Questi, infatti, coprono l’intera popolazione residente e vengono raccolti di routine in un modo standardizzato ai fini della gestione del servizio sanitario. In un precedente lavoro, abbiamo creato e validato un algoritmo di cattura dei casi prevalenti basato su fonti amministrative [5]. La prevalenza, calcolata al 2011, è risultata pari a 188 casi per 100.000 [5]. Anche altre Regioni hanno utilizzato i dati amministrativi per stimare la prevalenza della SM, come il Lazio con 131 casi su 100.000 nel 2011 [6], la Puglia con 183 casi nel 2012, il Veneto con 170-180 casi nel 2015, la Sicilia con 110 casi nel 2010 e la Sardegna con 360 casi nel 2016 [1]. OBIETTIVI Calcolare l’incidenza della SM in Toscana utilizzando dati amministrativi. METODI Per il calcolo dell’incidenza abbiamo creato il seguente algoritmo: ospedalizzazione in reparto per acuti e con diagnosi primaria di SM, esenzione attiva per SM, e prescrizione di farmaci specifici. I casi incidenti sono stati identificati come quei casi catturati dall’algoritmo non tracciati in precedenza nei flussi amministrativi, e la data della prima traccia è stata considerata quale data di diagnosi della SM. Da questa coorte di soggetti abbiamo selezionato i pazienti con un’età ≤ 55 anni, residenti in Toscana al momento della diagnosi e presenti in anagrafe da almeno 10 anni (o nati in Toscana se età <10). Abbiamo calcolato i tassi grezzi e standardizzati e gli intervalli di confidenza (IC) al 95% per gli anni 2011-2015. RISULTATI Abbiamo identificato, dal 2011 al 2015, 1.056 nuovi casi in Toscana con un’incidenza che varia da 5,04 nel 2011 a 6,02 casi su 100.000 nel 2015 (Tabella 1). Nelle donne l’incidenza è circa due volte più alta rispetto agli uomini con un range che va da 6,48 nel 2011 a 7,96 su 100.000 nel 2015 nelle donne, e da 3,49 nel 2011 a 3,93 nel 2015 negli uomini (Tabella 2). Prendendo in considerazione l’ultimo anno di analisi (2015), abbiamo inoltre osservato delle differenze per ASL di residenza al momento della diagnosi, con aree in cui il tasso di incidenza è inferiore alla media regionale, come Grosseto (4,58), Pisa (4,33 casi/100.000), Siena (3,30), Lucca (3,07) e Viareggio (3,06), e aree in cui l’incidenza è più elevata rispetto alla media, come Empoli (7,99), Livorno (8,80) e Arezzo (9,78)

Increasing prevalence of multiple sclerosis in Tuscany: a study based on validated administrative data

AIMS Italy is a high-risk area for Multiple Sclerosis (MS) with a prevalence of around 140/105 (2009) with the exception of Sardinia, with about 224 cases/105 (2009). Nowadays, in Italy, prevalence is absolutely higher than the above estimates. Indeed, prevalence is rising due to annual incidence that is higher than annual mortality. In Tuscany a population MS register has been founded but, to date, it’s not yet completed. To monitor disease epidemiology, comorbidities and care pathways, but also to describe the disease burden and to plan its prevention, treatment and management strategies and resource allocation, population-based studies are preferable. Administrative data offer a unique opportunity for population-based prevalence study of chronic diseases such as MS. Our aim is to update the prevalence of MS in Tuscany and to demonstrate its progressive increment. METHODS The prevalence was calculated using a case-finding algorithm based on administrative data: hospitalization, specific MS drug dispensing, disease-specific exemptions from patient copayment, home and residential long-term care and inhabitant registry. To test algorithm sensitivity, we used a true-positive reference cohort of 302 MS patients from the Tuscan MS register. To test algorithm specificity, we used a general population cohort of 2,644,094 individuals who were presumably not affected by MS (who had never effectuated either cranial or spinal cord CT scan or MRI and had never received a neurological outpatient visit within the NHS). We calculated prevalence on three consecutive years (2011, 2012, 2013). RESULTS At prevalence date (31 December), we identified 6,890 cases in 2011, 7,057 in 2012 and 7,330 in 2013 with a rate of 187.9, 191.1 and 195.4/105, respectively. The female:male ratio slightly increased from 2.0 in 2011 to 2.1 in 2012-2013. The sensitivity of algorithm was 98% and its specificity was 99.99%. DISCUSSION We found a progressive increment of prevalence that confirmed our hypothesis of increasing prevalence. Although our validity study demonstrated a high level of sensibility, we could miss some patients, especially individuals with a severe MS, who did not access the healthcare system and who did not use the DMDs included in our algorithm. CONCLUSIONS We confirmed that Tuscany is a high-risk area for MS and that the prevalence is increasing over time. Despite some limitations, we also demonstrated that our algorithm can accurately identify patients and this cohort is suitable to monitor care pathways. Our future aim is to create an integrated dataset with administrative and clinical data from MS register

3D bone texture analysis as a potential predictor of radiationinduced insufficiency fractures

Background: The aim of our work is to assess the potential role of texture analysis (TA), applied to computed tomography (CT) simulation scans, in relation to the development of insuffciency fractures (IFs) in patients undergoing radiation therapy (RT) for pelvic malignancies. Methods: We analyzed patients undergoing pelvic RT from Jan-2010 to Dec-2016, 31 of whom had developed IFs of the pelvis. We analyzed CT simulation scans using LifeX Software, and in particular we selected three regions of interest (ROI): L5 body, the sacrum and both the femoral heads. The ROI were automatically contoured using the treatment planning software Raystation. TA parameters included parameters from the gray-level histogram, indices from sphericity and from the matrix of GLCM (gray level co-occurrence matrix). The IFs patients were matched (1:1 ratio) with control patients who had not developed IFs, and were matched for age, sex, type of tumor, menopausal status, RT dose and use of chemotherapy. Univariate and multivariate analyses (logistic regression) were used for statistical analysis. Results: Signifcant TA parameters on univariate analysis included both parameters from the histogram distribution, as well from the matrix of GLCM. On logistic regression analysis the signifcant parameters were L5-energy [P=0.033, odds ratio (OR): 1.997, 95% CI: 1.0593.767] and FH-Skewness (P=0.014, OR: 2.338, 95% CI: 1.1914.591), with a R2: 0.268. A ROC curve was generated from the binary logistic regression, and the AUC was 0.741 (95% CI: 0.6270.855, P=0.001, S.E.: 0.058). Conclusions: In our experience, 3D-bone CT TA can be used to stratify the risk of the patients to develop radiation-induced IFs. A prospective study will be conducted to validate these fndings

T cells and delayed graft function

Ischemia-reperfusion injury (IRI) in kidney transplantation is the major cause of delayed graft function (DGF), an event associated with an increased risk of acute rejection. The aim of this study was to evaluate T helper (Th) cell phenotype in renal transplants with DGF. T-bet (Th1), GATA-3 (Th2) and IL-17 (Th17) protein expression was investigated in pretransplant biopsies, DGF and acute tubular damage (ATD) caused by calcineurin-inhibitor toxicity. Intracytofluorimetric analysis of IFN-γ, IL-4 and IL-17 was performed to analyze Th1, Th2 and Th17 responses in peripheral blood mononuclear cells of recipients with early graft function (EGF) and DGF, before (T0) and 24 h after transplantation (T24). In pretransplant biopsies, T-bet(+) , GATA-3(+) and IL-17(+) cells were barely detectable. In DGF, T-bet(+) and IL-17(+) cells were significantly increased compared with pretransplant and ATD. More than 90% of T-bet(+) and less then 5% of IL-17(+) cells were CD4(+) . GATA-3(+) cells were increased to a lower extent. T-bet(+) /GATA-3(+) cell ratio was significantly higher in DGF. Peripheral CD4(+) IFN-γ/IL-4 ratio was significantly decreased in DGF, while CD4(+) /IL-17(+) cells did not differ between T0 and T24 in DGF. Our data suggest that DGF is characterized by a prevalent Th1 phenotype within the graft. This event might represent a link between DGF and acute rejection

Endovascular coils extrusion after internal carotid artery occlusion: From management to follow‐up

: ICA coil extrusion (ICA-CE) occurs most frequently in the nasopharyngeal/sinonasal site. Evaluating the ICA coils stability, through an angiography, is of primary importance. ICA-CE management needs to be decided based on the patient's symptoms and general status

Genome-wide screening of copy number alterations and LOH events in renal cell carcinomas and integration with gene expression profile

<p>Abstract</p> <p>Background</p> <p>Clear cell renal carcinoma (RCC) is the most common and invasive adult renal cancer. For the purpose of identifying RCC biomarkers, we investigated chromosomal regions and individual genes modulated in RCC pathology. We applied the dual strategy of assessing and integrating genomic and transcriptomic data, today considered the most effective approach for understanding genetic mechanisms of cancer and the most sensitive for identifying cancer-related genes.</p> <p>Results</p> <p>We performed the first integrated analysis of DNA and RNA profiles of RCC samples using Affymetrix technology. Using 100K SNP mapping arrays, we assembled a genome-wide map of DNA copy number alterations and LOH areas. We thus confirmed the typical genetic signature of RCC but also identified other amplified regions (e.g. on chr. 4, 11, 12), deleted regions (chr. 1, 9, 22) and LOH areas (chr. 1, 2, 9, 13). Simultaneously, using HG-U133 Plus 2.0 arrays, we identified differentially expressed genes (DEGs) in tumor vs. normal samples. Combining genomic and transcriptomic data, we identified 71 DEGs in aberrant chromosomal regions and observed, in amplified regions, a predominance of up-regulated genes (27 of 37 DEGs) and a trend to clustering. Functional annotation of these genes revealed some already implicated in RCC pathology and other cancers, as well as others that may be novel tumor biomarkers.</p> <p>Conclusion</p> <p>By combining genomic and transcriptomic profiles from a collection of RCC samples, we identified specific genomic regions with concordant alterations in DNA and RNA profiles and focused on regions with increased DNA copy number. Since the transcriptional modulation of up-regulated genes in amplified regions may be attributed to the genomic alterations characteristic of RCC, these genes may encode novel RCC biomarkers actively involved in tumor initiation and progression and useful in clinical applications.</p

An Internet- and Kinect-Based Multiple Sclerosis Fitness Intervention Training With Pilates Exercises: Development and Usability Study

background: balance impairments are common in people with multiple sclerosis (MS), with reduced ability to maintain position and delayed responses to postural adjustments. Pilates is a popular alternative method for balance training that may reduce the rapid worsening of symptoms and the increased risk of secondary conditions (eg, depression) that are frequently associated with physical inactivity.objective: In this paper, we aimed to describe the design, development, and usability testing of MS Fitness Intervention Training (MS-FIT), a Kinect-based tool implementing Pilates exercises customized for MS. methods: MS-FIT has been developed using a user-centered design approach (design, prototype, user feedback, and analysis) to gain the target user's perspective. a team composed of 1 physical therapist, 2 game programmers, and 1 game designer developed the first version of MS-FIT that integrated the knowledge and experience of the team with MS literature findings related to pilates exercises and balance interventions based on exergames. MS-FIT, developed by using the Unity 3D (Unity Technologies) game engine software with kinect Sensor V2 for Windows, implements exercises for breathing, posture, and balance. Feedback from an Italian panel of experts in MS rehabilitation (neurologists, physiatrists, physical therapists, 1 statistician, and 1 bioengineer) and people with MS was collected to customize the tool for use in MS. The context of MS-FIT is traveling around the world to visit some of the most important cities to learn the aspects of their culture through pictures and stories. At each stay of the travel, the avatar of a Pilates teacher shows the user the exercises to be performed. Overall, 9 people with MS (n=4, 44% women; mean age 42.89, SD 11.97 years; mean disease duration 10.19, SD 9.18 years; Expanded Disability Status Scale score 3.17, SD 0.75) were involved in 3 outpatient user test sessions of 30 minutes; MS-FIT's usability was assessed through an ad hoc questionnaire (maximum value=5; higher the score, higher the usability) evaluating easiness to use, playability, enjoyment, satisfaction, and acceptance.Results: A user-centered design approach was used to develop an accessible and challenging tool for balance training. all people with MS (9/9, 100%) completed the user test sessions and answered the ad hoc questionnaire. the average score on each item ranged from 3.78 (SD 0.67) to 4.33 (SD 1.00), which indicated a high usability level. The feedback and suggestions provided by 64% (9/14) of people with MS and 36% (5/14) of therapists involved in the user test were implemented to refine the first prototype to release MS-FIT 2.0. Conclusions: The participants reported that MS-FIT was a usable tool. It is a promising system for enhancing the motivation and engagement of people with MS in performing exercise with the aim of improving their physical status