Hungarian Radiology

[The ECR 2003 Image Solving Meeting]

PALKÓ András

APRIL 20, 2003

Hungarian Radiology - 2003;77(02)



Further articles in this publication

Hungarian Radiology

[Treatment of ureter stenosis of the transplanted kidney using invasive radiological methods]

DOROS Attila, WESZELITS Viola, PUHL Mária, RUSZ András, JANSEN Judit

[INTRODUCTION - Stenosis, occlusion and necrosis of the ureter after kidney transplantation occur in 2-13%. The therapeutic choices are surgery or minimally invasive endourological and percutaneous procedures. We analysed our therapeutic plan and results using percutaneous dilatation and stenting. PATIENTS AND METHODS - The patients after kidney transplantation are regularly examined by ultrasound. In cases of suspected obstruction we perform scintigraphy and CT-urography, and if indicated, we place percutaneous nephrostomy. Between July of 2000 and September of 2002, 15 stenosis in 14 patients were dilated and stented percutaneously. RESULTS - We found one restenosis after 6 months due to compression. This patient underwent surgery, but after the operation another stenosis has developed. We treated it percutaneously. One nephrectomy had to be performed due to serious infection. In one patient stent migration occured and surgical intervention was performed. 12 patients have free urine passage and good kidney function as a result of percutaneous therapy. CONCLUSION - We have good results with percutaneous ureter dilatation and stenting, but our follow-up time (31 months) must be longer for the evaluation of long-term results. The percutaneous treatment can partly replace endourological and surgical methods or can be combined with each other.]

Hungarian Radiology

[The Swiss Syndrome]


Hungarian Radiology

[Recommendations on the Internet Radiology on the Internet]


Hungarian Radiology

[No Limits Optimism After ECR 2003]


Hungarian Radiology

[To Use or to Gain Profit?]


All articles in the issue

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Lege Artis Medicinae

[Second game, 37th move and Fourth game 78th move]

VOKÓ Zoltán

[What has Go to do with making clinical decisions? One of the greatest intellectual challenges of bedside medicine is making decisions under uncertainty. Besides the psychological traps of traditionally intuitive and heuristic medical decision making, lack of information, scarce resources and characteristics of doctor-patient relationship contribute equally to this uncertainty. Formal, mathematical model based analysis of decisions used widely in developing clinical guidelines and in health technology assessment provides a good tool in theoretical terms to avoid pitfalls of intuitive decision making. Nevertheless it can be hardly used in individual situations and most physicians dislike it as well. This method, however, has its own limitations, especially while tailoring individual decisions, under inclusion of potential lack of input data used for calculations, or its large imprecision, and the low capability of the current mathematical models to represent the full complexity and variability of processes in complex systems. Nevertheless, clinical decision support systems can be helpful in the individual decision making of physicians if they are well integrated in the health information systems, and do not break down the physicians’ autonomy of making decisions. Classical decision support systems are knowledge based and rely on system of rules and problem specific algorithms. They are utilized widely from health administration to image processing. The current information revolution created the so-called artificial intelligence by machine learning methods, i.e. machines can learn indeed. This new generation of artificial intelligence is not based on particular system of rules but on neuronal networks teaching themselves by huge databases and general learning algorithms. This type of artificial intelligence outperforms humans already in certain fields like chess, Go, or aerial combat. Its development is full of challenges and threats, while it presents a technological breakthrough, which cannot be stopped and will transform our world. Its development and application has already started also in the healthcare. Health professionals must participate in this development to steer it into the right direction. Lee Sedol, 18-times Go world champion retired three years after his historical defeat from AlphaGo artificial intelligence, be­cause “Even if I become the No. 1, there is an entity that cannot be defeated”. It is our great luck that we do not need to compete or defeat it, we must ensure instead that it would be safe and trustworthy, and in collaboration with humans this entity would make healthcare more effective and efficient. ]

Hungarian Radiology

[Board Meeting of the Hungarian College of Radiology]

PALKÓ András, FORRAI Gábor

Clinical Neuroscience

[Prevention of invasive meningococcal infection, recognition and first treatment of the disease in primary care]


[Neisseria meningitidis, the meningococcus, is a Gram-negative diplococcal bacterium that is only found naturally in humans. The meningococcus is part of the normal microbiota of the human nasopharynx and is commonly carried in healthy individuals. In some cases systemic invasion occurs, which can lead to meningitis and/or septicemia. Invasive disease caused by Neisseria meningitidis is potentially devastating, with a high case fatality rate and high rates of significant sequelae among survivors after septicaemia or meningitis. Between 2006-2015 every year between 34 and 70 were the numbers of the registered invasive disease because of Neisseria meningitis, the morbidity rate was 0.2-0.7⁰⁄₀₀₀₀. Half of the diseases (50.7%) were caused by B serotype N. meningitidis, 23.2% were C serotype. In this article the authors summarise what you must do and must not do as primary care physician when suddenly meeting a young patients suspected of having meningococcus infection. ]

Clinical Neuroscience

[Account on the scientific meeting of Környey Society in 2010. Part 2.]

[Account on the scientific meeting of Környey Society in 2010. Part 2. 2010;63(11-12)]

Clinical Neuroscience



[Two cases of uncommon manifestation of central nervous system sarcoidosis are reported. A 42 year-old man had a spinal cord sarcoidosis. MRI of the spinal cord showed myelopathy in the cervico-thoracic region, and the T2-weighted image showed increasing signal intensity. Neurological symptoms did not correllate with radiological abnormalities. Neurological manifestation was paucisymptomatic. Half a year later steroid and azatioprin therapy led to almost complet radiological and clinical regression. In the second case we present a 49 year-old woman who had left side internuclear ophthalmoplegia and the brainstem lesion. The patient was proven to have sarcoidosis. In this case no abnormalities were found in brain MRI. Neurological symptoms could not be detected by MRI, probably caused by brainstem parenchymal lesions consisting of microgranulomatosis that is sarcoid "brainstem encephalitis". Neurological symptoms improved after steroid treatment in this case too. In both of the cases pulmonary lymphadenopathy helped to diagnose sarcoidosis. In our cases there were interesting correllations between neurological symptoms and MRI abnormalities. At the spinal cord sarcoidosis the radiological abnormalities were more striking than the clinical manifestation. In the other case we found distinct brainstem symptoms but could not detect MRI abnormalities.]