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  • McGarry Boykin posted an update 3 days, 14 hours ago

    The purpose of the present study was to evaluate the radiographical outcomes and survival rate of implants placed during graftless lateral sinus lift approach (GLSLA) using an absorbable collagen sponge.

    Fourteen patients (14 sinus augmentations) were consecutively treated with GLSLA. After Schneiderian membrane elevation and implant insertion, only collagen sponges were used to fill the new sinus compartment. Temsirolimus nmr After 4months of healing, implants were functionally loaded. The radiographical marginal bone variation and apical bone gain were assessed on periapical radiographs taken 4months after the surgery (at crown insertion) and at 12months post-loading.

    A total of 41 implants were placed in a mean initial residual bone height of 3.5mm (range 1.6-6.7mm). No failure was recorded and all the implants were successfully loaded with fixed prosthesis. Twelve months post-loading the mean radiographic bone remodeling was 2.22mm. The mean ridge height was 8.4mm and the mean apical bone gain amounted for 4.4mm.

    Within the limitations of this study, the placement of dental implants in conjunction with GLSLA using only a collagen sponge to fill the sinus compartment seems to be feasible and accompanied by a high implant survival rate. Further studies on a large population and with a longer follow-up are warranted to drawn definitive conclusions.

    Within the limitations of this study, the placement of dental implants in conjunction with GLSLA using only a collagen sponge to fill the sinus compartment seems to be feasible and accompanied by a high implant survival rate. Further studies on a large population and with a longer follow-up are warranted to drawn definitive conclusions.

    Artificial intelligence (AI) in medical imaging is a burgeoning topic that involves the interpretation of complex image structures. The recent advancements in deep learning techniques increase the computational powers to extract vital features without human intervention. The automatic detection and segmentation of subtle tissue such as the internal auditory canal (IAC) and its nerves is a challenging task, and it can be improved using deep learning techniques.

    The main scope of this research is to present an automatic method to detect and segment the IAC and its nerves like the facial nerve, cochlear nerve, inferior vestibular nerve, and superior vestibular nerve. To address this issue, we propose a Mask R-CNN approach driven with U-net to detect and segment the IAC and its nerves. The Mask R-CNN with its backbone network of the RESNET50 model learns a background-based localization policy to produce an actual bounding box of the IAC. Furthermore, the U-net segments the structure related information of IACnd 96%, respectively. The result shows that the proposed method outperform better in localization and segmentation of IAC and its nerves. Thus, AI aids the radiologists in making the right decisions as the localization and segmentation of IAC is accurate.

    To describe imaging and laboratory findings of confirmed PE diagnosed in COVID-19 patients and to evaluate the characteristics of COVID-19 patients with clinical PE suspicion. Characteristics of patients with COVID-19 and PE suspicion who required admission to the intensive care unit (ICU) were also analysed.

    A retrospective study from March 18, 2020, until April 11, 2020. Inclusion criteria were patients with suspected PE and positive real-time reverse-transcription polymerase chain reaction (RT-PCR) for SARS-CoV-2. Exclusion criteria were negative or inconclusive RT-PCR and other chest CT indications. CTPA features were evaluated and severity scores, presence, and localisation of PE were reported. D-dimer and IL-6 determinations, ICU admission, and previous antithrombotic treatment were registered.

    Forty-seven PE suspicions with confirmed COVID-19 underwent CTPA. Sixteen patients were diagnosed with PE with a predominant segmental distribution. Statistically significant differences were found in the h(ICU) admission in COVID-19 patients.

    • On CT pulmonary angiography, pulmonary embolism in COVID-19 patients seems to be predominantly distributed in segmental arteries of the right lung, an assumption that needs to be approached in future research. • Only the highest intraindividual determination of d-dimer from admission to CT scan seems to differentiate patients with pulmonary embolism from patients with a negative CTPA. However, interindividual variability calls for future studies to establish cut-off values in COVID-19 patients. • Further studies with larger sample sizes are needed to determine whether the presence of PE could increase the risk of intensive care unit (ICU) admission in COVID-19 patients.

    To evaluate the clinical effect and safety of cone-beam CT (CBCT)-guided empirical embolization for acute lower gastrointestinal bleeding (LGIB) in patients with a positive CT angiography (CTA) but subsequent negative digital subtraction angiography (DSA).

    A retrospective study of consecutive LGIB patients with a positive CTA who received a DSA within 24h from January 2008 to July 2019. Patients with a positive DSA were treated with targeted embolization (TE group). Patients with a negative DSA underwent an empiric CBCT-guided embolization of the assumed ruptured vas rectum (EE group) or no embolization (NE group). Recurrent bleeding, major ischemic complications, and in-hospital mortality were compared by means of Fisher’s exact test. Further subgroup analysis was performed on hemodynamic instability.

    Eighty-five patients (67.6years ± 15.7, 52 men) were included (TE group, n = 47; EE group, n = 19; NE group, n= 19). If DSA was positive, technical success of targeted embolization was 100% (47/47). If DSve “wait-and-see” management.Adolescents with Chronic Fatigue Syndrome/Myalgic Encephalomyelitis (CFS/ME) appear to be more likely to experience anxiety and/or depression using Patient Reported Outcome Measures (PROMs). However, we do not know how accurate these are at detecting problems in this patient group given the primary symptom of fatigue. We aimed to accurately determine the prevalence of anxiety/depression using gold-standard diagnostic interviews and evaluate the accuracy of PROMs measuring mood disorders in this patient group. We conducted a cross-sectional epidemiological study in a specialist tertiary paediatric CFS/ME service, England. The participants were164 12-18-year olds with clinician confirmed CFS/ME and their parents. The measures were a semi-structured diagnostic interview, the Kiddie Schedule for Affective Disorders and Schizophrenia, K-SADS, and questionnaires (Revised Children’s Anxiety and Depression Scale, RCADS; Spence Children’s Anxiety Scale, SCAS; Hospital Anxiety and Depression Scale, HADS). Parents completed the RCADS-P.