Patient Radiation Doses in Interventional Cardiology Procedures

Interventional cardiology procedures result in substantial patient radiation doses due to prolonged fluoroscopy time and radiographic exposure. The procedures that are most frequently performed are coronary angiography, percutaneous coronary interventions, diagnostic electrophysiology studies and radiofrequency catheter ablation. Patient radiation dose in these procedures can be assessed either by measurements on a series of patients in real clinical practice or measurements using patient-equivalent phantoms. In this article we review the derived doses at non-pediatric patients from 72 relevant studies published during the last 22 years in international scientific literature. Published results indicate that patient radiation doses vary widely among the different interventional cardiology procedures but also among equivalent studies. Discrepancies of the derived results are patient-, procedure-, physician-, and fluoroscopic equipmentrelated. Nevertheless, interventional cardiology procedures can subject patients to considerable radiation doses. Efforts to minimize patient exposure should always be undertaken

Recurrent intra-articular osteoid osteoma of the hip after radiofrequency ablation: a case report and review of the literature

We present a case of a 53-year-old woman with recurrent intra-articular osteoid osteoma of the hip 6 months after initial treatment with percutaneous radiofrequency ablation. En bloc surgical excision of the osteoid osteoma and prophylactic internal fixation for impending stress fracture was performed. The patient is pain free, has returned to normal function and there is no sign of recurrence at the one-year follow-up. Intraarticular osteoid osteoma, present a diagnostic challenge and often they are misdiagnosed. Minimally invasive ablation techniques can fail in significant percentage and then surgical excision with histological confirmation remains the definitive treatment of choice

ARIES: a novel multivariate intrusion detection system for smart grid

The advent of the Smart Grid (SG) raises severe cybersecurity risks that can lead to devastating consequences. In this paper, we present a novel anomaly-based Intrusion Detection System (IDS), called ARIES (smArt gRid Intrusion dEtection System), which is capable of protecting efficiently SG communications. ARIES combines three detection layers that are devoted to recognising possible cyberattacks and anomalies against (a) network flows, (b) Modbus/Transmission Control Protocol (TCP) packets and (c) operational data. Each detection layer relies on a Machine Learning (ML) model trained using data originating from a power plant. In particular, the first layer (network flow-based detection) performs a supervised multiclass classification, recognising Denial of Service (DoS), brute force attacks, port scanning attacks and bots. The second layer (packet-based detection) detects possible anomalies related to the Modbus packets, while the third layer (operational data based detection) monitors and identifies anomalies upon operational data (i.e., time series electricity measurements). By emphasising on the third layer, the ARIES Generative Adversarial Network (ARIES GAN) with novel error minimisation functions was developed, considering mainly the reconstruction difference. Moreover, a novel reformed conditional input was suggested, consisting of random noise and the signal features at any given time instance. Based on the evaluation analysis, the proposed GAN network overcomes the efficacy of conventional ML methods in terms of Accuracy and the F1 score

MRI efficacy in diagnosing internal lesions of the knee: a retrospective analysis

BACKGROUND: Many surgeons tend to believe that MRI is an accurate, non invasive diagnostic method, enough to lead to decisions for conservative treatment and save a patient from unnecessary arthroscopy. We conducted a retrospective study to investigate the accuracy of the MRI of the knee for the detection of injuries of the meniscus, cruciate ligaments and articular cartilage, in comparison with the preoperative clinical examination and intraoperative findings. Between May 2005 and February 2006 102 patients after clinical examination were diagnosed with meniscal or cruciate injury and underwent definitive treatment with arthroscopy. 46 of these patients fulfilled the inclusion criteria. The accuracy, sensitivity, specificity, negative and positive predictive values of the MRI findings were correlated with the lesions identified during arthroscopy. The diagnostic performance of the initial clinical examination was also calculated for the meniscal and cruciate ligament injuries. RESULTS: The accuracy for tears of the medial, lateral meniscus, anterior and posterior cruciate ligaments and articular cartilage was 81%, 77%, 86%, 98% and 60% respectively. The specificity was 69%, 88%, 89%, 98% and 73% respectively. The positive predictive value was 83%, 81%, 90%, 75% and 53% respectively. Finally, the clinical examination had significant lower reliability in the detection of these injuries. CONCLUSION: MRI is very helpful in diagnosing meniscal and cruciate ligament injuries. But in a countable percentage reports with false results and in chondral defects its importance is still vague. The arthroscopy still remains the gold standard for definitive diagnosis

The anatomy of the medial collateral ligament of the knee and its significance in joint stability

The medial collateral ligament (MCL) is the most important stabilizer of the medial side of the knee together with the capsuloligamentous complex. As such, it has a distinctive role in joint stability, as far as its biomechanics are concerned, and major joint stability issues onset when it is injured or deficient. One of the main functions of the medial collateral ligament is mechanical as it passively stabilizes the knee and help in guiding it through its normal range of motion when a tensile load is applied. It exhibits nonlinear anisotropic mechanical behaviour, like all ligaments, and under low loading conditions it is relatively compliant, perhaps due to recruitment of “crimped” collagen fibres as well as to viscoelastic behaviours and interactions of collagen and other matrix materials. Continued ligament-loading results in increasing stiffness until a stage is reached where it exhibits nearly linear stiffness and beyond this it continues to absorb energy until it is disrupted. In addition, the function of the MCL has to do with its viscoelasticity which assists the maintainance of joint congruity and homeostasis. The treatment of grade III medial collateral ligament injuries (with gross valgus instability at 0° of flexion) is still controversial. The most severe injuries (especially with severe valgus alignment, intra-articular medial collateral ligament entrapment, large bony avulsions, or multiple ligament involvement) may require acute operative repair or augmentation. In addition, surgical reconstruction is indicated for isolated symptomatic chronic medial collateral ligament laxity. The optimal surgical treatment remains controversial. More studies with evidence of level I and II are required in order to clarify the pros and cons of any solution

A novel Hemi-Body Irradiation technique using electron beams (HBIe−)

Purpose Certain radiation responsive skin diseases may develop symptoms on the upper or the lower half of the body. The concept of a novel Hemi-Body Electron Irradiation (HBIe−) technique, described in this work, provides a low cost, LINAC based, intermediate treatment option in between extremely localized and Total Skin irradiation techniques. Materials and methods The HBIe− technique, developed in our department, incorporates a custom crafted treatment chamber equipped with adjustable Pb shielding and a single electron beam in extended Source-Skin Distance (SSD) setup. The patient is positioned in 'Stanford' technique positions. The geometrical setup provides both optimal dose homogeneity and dose deposition up to a depth of 2 cm. To confirm this, the following characteristics were measured and evaluated: a) percentage depth dose (PDD) on the treatment plane produced by a single electron beam at perpendicular incidence for six fields at 'Stanford' angles, b) 2D profile of the entrance dose on the treatment plane produced by a single field and c) the total surface dose on an anthropomorphic phantom delivered by all 6 fields. Results The resulting homogeneity of the surface dose in the treatment plane for an average patient was 5–6%, while surface dose homogeneity on the anthropomorphic phantom was 7% for both the upper and the lower HBIe− variants. The total PDD exhibits an almost linear decrease to a practical range of 2 g/cm2. Conclusion In conclusion, HBIe− was proven effective in delivering the prescribed dose to the target area, while protecting the healthy skin

Sarcopenia in patients with diabetes mellitus.

IntroductionDiseases such as diabetes mellitus may be associated with adverse changes in body composition. Sarcopenia is characterized by a progressive and generalized loss of skeletal muscle mass and functionality.AimTo investigate the relationship between type 2 diabetes mellitus (T2DM) and sarcopenia.Materials and methodsIn a retrospective, non-randomized study, 35 T2DM patients, aged 20-80 years, were assessed for sarcopenia prevalence compared to controls (n=16). Appendicular skeletal mass (ASM) (kg) was measured, and sarcopenia was defined as SMI ResultsIncidence of sarcopenia was significantly higher in T2DM patients vs. controls (27% vs. 20%, p=0.01) and elderly vs. young participants (40% vs. 12%, pConclusionsA moderate prevalence of sarcopenia in patients with type 2 diabetes mellitus was observed, which appeared to increase significantly in older men. Finally, incidence of T2DM displayed decreased physical performance in both genders

NeuralPot: an industrial honeypot implementation based on convolutional neural networks

Honeypots are powerful security tools, which are developed to shield commercial and industrial networks from malicious activity. Honeypots act as passive and interactive decoys in a network by attracting malicious activity away from critical network devices. Given that the security incidents against industrial and critical infrastructure are getting sophisticated and persistent, advanced security systems are needed. In this paper, a novel industrial honeypot implementation is presented, which is based on the Modbus protocol, entitled NeuralPot. The presented NeuralPot honeypot is able to emulate industrial Modbus entities in order to actively confuse the intruders. It achieves this by introducing two distinct deep neural networks, a Generative Adversarial Network and an Autoencoder Network, which learn Modbus device behavior and generate realistic-looking traffic behavior. Based on the evaluation results, the proposed industrial honeypot performs well in terms of accuracy, similarity, and elapsed time of data generation

Extended array manifolds

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