Higher resolution banding techniques in the clinical routine

2008 ◽  
Vol 33 (5) ◽  
pp. 325-330 ◽  
Author(s):  
Anna Latos-Bielenska ◽  
Horst Hameister
Keyword(s):  
Clinical Routine ◽  
Resolution Banding

Time consumption and quality of an automated fusion tool for SPECT and MRI images of the brain

2003 ◽  
Vol 42 (05) ◽  
pp. 215-219
Author(s):  
G. Platsch ◽  
A. Schwarz ◽  
K. Schmiedehausen ◽  
B. Tomandl ◽  
W. Huk ◽  
...  
Keyword(s):  
Data Sets ◽  
3D Mri ◽  
Clinical Routine ◽  
Fusion Procedure ◽  
3D Data ◽  
Mri Scans ◽  
2D Data ◽  
Time Required ◽  
The Brain ◽  
Manual Correction

Summary: Aim: Although the fusion of images from different modalities may improve diagnostic accuracy, it is rarely used in clinical routine work due to logistic problems. Therefore we evaluated performance and time needed for fusing MRI and SPECT images using a semiautomated dedicated software. Patients, material and Method: In 32 patients regional cerebral blood flow was measured using 99mTc ethylcystein dimer (ECD) and the three-headed SPECT camera MultiSPECT 3. MRI scans of the brain were performed using either a 0,2 T Open or a 1,5 T Sonata. Twelve of the MRI data sets were acquired using a 3D-T1w MPRAGE sequence, 20 with a 2D acquisition technique and different echo sequences. Image fusion was performed on a Syngo workstation using an entropy minimizing algorithm by an experienced user of the software. The fusion results were classified. We measured the time needed for the automated fusion procedure and in case of need that for manual realignment after automated, but insufficient fusion. Results: The mean time of the automated fusion procedure was 123 s. It was for the 2D significantly shorter than for the 3D MRI datasets. For four of the 2D data sets and two of the 3D data sets an optimal fit was reached using the automated approach. The remaining 26 data sets required manual correction. The sum of the time required for automated fusion and that needed for manual correction averaged 320 s (50-886 s). Conclusion: The fusion of 3D MRI data sets lasted significantly longer than that of the 2D MRI data. The automated fusion tool delivered in 20% an optimal fit, in 80% manual correction was necessary. Nevertheless, each of the 32 SPECT data sets could be merged in less than 15 min with the corresponding MRI data, which seems acceptable for clinical routine use.

Framework for Biosignal Interpretation in Intensive Care and Anesthesia

1997 ◽  
Vol 36 (04/05) ◽  
pp. 340-344 ◽  
Author(s):  
I. Korhonen ◽  
M. van Gils ◽  
A. Kari ◽  
N. Saranummi
Keyword(s):  
Critical Care ◽  
Intensive Care ◽  
Data Management ◽  
Clinical Evaluation ◽  
Patient Monitoring ◽  
Research Community ◽  
Clinical Routine ◽  
The Poor ◽  
Outcomes Of Care

Abstract:Improved monitoring improves outcomes of care. As critical care is “critical”, everything that can be done to detect and prevent complications as early as possible benefits the patients. In spite of major efforts by the research community to develop and apply sophisticated biosignal interpretation methods (BSI), the uptake of the results by industry has been poor. Consequently, the BSI methods used in clinical routine are fairly simple. This paper postulates that the main reason for the poor uptake is the insufficient bridging between the actors (i.e., clinicians, industry and research). This makes it difficult for the BSI developers to understand what can be implemented into commercial systems and what will be accepted by clinicians as routine tools. A framework is suggested that enables improved interaction and cooperation between the actors. This framework is based on the emerging commercial patient monitoring and data management platforms which can be shared and utilized by all concerned, from research to development and finally to clinical evaluation.

Influence of cyp2d6 polymorphisms on pharmacokinetics, efficacy and safety of antipsychotics

2018 ◽  
pp. 26-39
Author(s):  
А.А. Курылев ◽  
Б.В. Андреев
Keyword(s):  
Genetic Polymorphisms ◽  
Atypical Antipsychotics ◽  
Retrospective Studies ◽  
Pharmacokinetic Parameters ◽  
Clinical Routine ◽  
Elimination Half ◽  
Daily Dose ◽  
Comparison Groups ◽  
Cyp2d6 Polymorphisms ◽  
Positive Significant Correlation

Несмотря на доступность в клинической практике широкого круга классических и атипичных антипсихотиков (АП), по-прежнему наблюдается широкая вариабельность ответа на психофармакотерапию. Эта вариабельность обусловлена генетической гетерогенностью как самой шизофрении, так и метаболизма АП. Стандартные назначаемые дозы АП далеко не всегда являются оптимальными. Генетическая вариабельность систем биотрансформации и биодоступности АП могут играть значимую роль в формировании ответа на терапию и развитии нежелательных реакций. Целью исследования стало проведение обзора литературы по проблеме клинической эффективности применения генотипирования полиморфизмов CYP2D6 при терапии антипсихотиками. Большинство фармакокинетических исследований обнаруживают сильную достоверную положительную корреляцию метаболического статуса CYP2D6, определенного путем генотипирования полиморфизмов CYP2D6 и фармакокинетических параметров АП (AUC, период полувыведения, клиренс). Однако статистически достоверных связей между полиморфизмами CYP2D6 и эффективностью терапии АП в большинстве исследований обнаружено не было, прежде всего из-за недостаточного количества участников, гетерогенности сравниваемых когорт, применении различных АП и использовании разных критериев эффективности. Перспективные исследования с хорошо сбалансированными группами сравнения, а также масштабные ретроспективные исследования демонстрируют достоверную корреляцию метаболического статуса CYP2D6 и частоты развития нежелательных реакций АП (лекарственный паркинсонизм и поздняя дискинезия). Для более точной оценки величины вклада генетических полиморфизмов CYP2D6 в эффективность и безопасность психофармакотерапии необходимы масштабные перспективные клинические исследования. Although a number of typical and atypical antipsychotics (AP) have been discovered and used in psychiatric clinical practice the variability in response to AP is quite high. This variability is partially explained by a genetic heterogeneity of schizophrenia and metabolism of AP. The standard prescribed antipsychotic daily dose is not always optimal. Genetic variability of biotransformation and bioavailability of AP may significantly influence on therapeutic effect and tolerability. The aim of the study was to perform literature review of studies evaluating the correlation of CYP2D6 genetic polymorphisms and AP pharmacokinetics, effectiveness and safety. Most pharmacokinetics studies show high positive significant correlation between CYP2D6 metabolic activity, determined by CYP2D6 polymorphisms genotyping and AP pharmacokinetic parameters (AUC, elimination half-life, clearance etc.). However the majority of studies were failed to demonstrate significant correlation between CYP2D6 polymorphisms and AP effectiveness mainly due to inadequate number of patient, heterogeneous cohorts, different AP and effectiveness criteria used. Prospective studies with balanced comparison groups and large retrospective studies showed significant correlation between CYP2D6 metabolic status and the frequency of AP induced AEs (parkinsonism and tardive dyskinesia). To better assess the influence of CYP2D6 genetic polymorphisms on AP effectiveness and safety in clinical routine large prospective well designed clinical studies are needed.

Procalcitonin Testingreduce Unnecessary Antibiotic Use in Bacterial Infection

2019 ◽  
Vol 2 (1) ◽  
pp. 1-3
Author(s):  
Attabak Toofani Milani ◽  
Mahshid Mohammadian ◽  
Sadegh Rostaminasab ◽  
Roghayeh Paribananaem ◽  
Zohre Ahmadi ◽  
...  
Keyword(s):  
Antibiotic Therapy ◽  
Bacterial Infection ◽  
Diagnostic Test ◽  
Bacterial Infections ◽  
Intervention Studies ◽  
Antibiotic Use ◽  
Clinical Suspicion ◽  
Diagnostic Biomarker ◽  
Clinical Routine ◽  
Initial Rise

Conventional diagnostic test have limitations to deferential diagnosis in clinical suspicion ofbacterial infection cases, that in some cases lead to inappropriate antibiotic therapy and increases antibiotic resistance. A new diagnostic insight is procalcitonin (PCT) test to improve diagnosis of bacterial infections and to guide antibiotic therapy. Serum PCT levels are of useful test as a biomarker in patients with bacterial infections for several reasons. Initial rise of PCT levels due to bacterial infection, subsequent sequential PCT levels can be used to assess the effectiveness and duration of antibiotic therapy. Based on clinical researches results, in bacterial infections, promising good results obtained when use of PCT used as differential diagnostic test. But further intervention studies are needed before use of PCT in clinical routine tests. The goal of this review is to study the PCT reliability as infections diagnostic biomarker.

scholarly journals An algorithm using clinical data to predict the optimal individual glucocorticoid dosage to treat multiple sclerosis relapses

2021 ◽  
Vol 14 ◽  
pp. 175628642110200
Author(s):  
Judit Gili-Kovács ◽  
Robert Hoepner ◽  
Anke Salmen ◽  
Maud Bagnoud ◽  
Ralf Gold ◽  
...  
Keyword(s):  
Multiple Sclerosis ◽  
Optic Neuritis ◽  
Immune Therapy ◽  
Serum Vitamin ◽  
Multivariate Regression Analysis ◽  
Pulse Therapy ◽  
Clinical Routine ◽  
Hydroxyvitamin D ◽  
Serum Vitamin D ◽  
Magnetic Resonance Imaging Mri

Background: Glucocorticoid (GC) pulse therapy is used for multiple sclerosis (MS) relapse treatment; however, GC resistance is a common problem. Considering that GC dosing is individual with several response-influencing factors, establishing a predictive model, which supports clinicians to estimate the maximum GC dose above which no additional therapeutic value can be expected presents a huge clinical need. Method: We established two, independent retrospective cohorts of MS patients. The first was an explorative cohort for model generation, while the second was established for its validation. Using the explorative cohort, a multivariate regression analysis with the GC dose used as the dependent variable and serum vitamin D (25D) concentration, sex, age, EDSS, contrast enhancement on cranial magnetic resonance imaging (MRI), immune therapy, and the involvement of the optic nerve as independent variables was established. Results: In the explorative cohort, 113 MS patients were included. 25-hydroxyvitamin D (25D) serum concentration and the presence of optic neuritis were independent predictors of the GC dose needed to treat MS relapses [(25D): −25.95 (95% confidence interval (CI)): −47.40 to −4.49; p = 0.018; optic neuritis: 2040.51 (95% CI: 584.64–3496.36), p = 0.006]. Validation of the multivariate linear regression model was performed within a second cohort. Here, the predicted GC dose did not differ significantly from the dose administered in clinical routine (mean difference: −843.54; 95% CI: −2078.08–391.00; n = 30, p = 0.173). Conclusion: Our model could predict the GC dose given in clinical, routine MS relapse care, above which clinicians estimate no further benefit. Further studies should validate and improve our algorithm to help the implementation of predictive models in GC dosing.

scholarly journals Digital Health Transition in Rheumatology: A Qualitative Study

2021 ◽  
Vol 18 (5) ◽  
pp. 2636 ◽  
Author(s):  
Felix Mühlensiepen ◽  
Sandra Kurkowski ◽  
Martin Krusche ◽  
Johanna Mucke ◽  
Robert Prill ◽  
...  
Keyword(s):  
Qualitative Content Analysis ◽  
Digital Health ◽  
Health Transition ◽  
Risk Of Infection ◽  
Clinical Routine ◽  
Digital Product ◽  
Remote Care ◽  
Imminent Risk ◽  
Infection Monitoring ◽  
Rheumatic Patients

The global COVID-19 pandemic has led to drastic changes in the management of patients with rheumatic diseases. Due to the imminent risk of infection, monitoring intervals of rheumatic patients have prolonged. The aim of this study is to present insights from patients, rheumatologists, and digital product developers on the ongoing digital health transition in rheumatology. A qualitative and participatory semi-structured fishbowl approach was conducted to gain detailed insights from a total of 476 participants. The main findings show that digital health and remote care are generally welcomed by the participants. Five key themes emerged from the qualitative content analysis: (1) digital rheumatology use cases, (2) user descriptions, (3) adaptation to different environments of rheumatology care, and (4) potentials of and (5) barriers to digital rheumatology implementation. Codes were scaled by positive and negative ratings as well as on micro, meso, and macro levels. A main recommendation resulting from the insights is that both patients and rheumatologists need more information and education to successfully implement digital health tools into clinical routine.

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