AIM: A diabetes-related foot ulcer (DFU) is a major risk factor for lower-extremity amputation (LEA). To help clinicians predict the risk of LEA in people with DFU, the Diabetic Foot Risk Assessment (DIAFORA) system was developed but has never been externally validated. METHODS: In this study, 317 people presenting with a new DFU were included. At baseline, participants were grouped into three groups based on their DIAFORA score: low-risk (<15), medium-risk (15-25), and high-risk (>25). Participants were followed until healing, LEA, death, or at least 3 months. Discriminative accuracy was evaluated using sensitivity, specificity, likelihood ratios (LRs) and the area under the curve (AUC). RESULTS: All 317 participants completed at least 3 months of follow-up for a median duration of 146 days, during which 12.6% underwent minor amputation and 2.5% major amputation. People in the low- and medium-risk categories had major amputation rates of 0.9% and 2.1%, respectively, and negative LR of major LEA of 0.10 and 0.38, respectively, while the people in the high-risk category had an amputation rate of 25.0% and a positive LR of 12.9. The DIAFORA risk groups had a sensitivity of 75.0% and a specificity of 65.7%, with a corresponding AUC of 0.78 (95% CI 0.68-0.87) for the prediction of major LEA. CONCLUSION: The DIAFORA score is a useful tool for risk stratification of people presenting with a newly occurred DFU, with the external validation presenting results similar to those presented in the original study. The DIAFORA score may guide clinicians towards more individualized DFU treatment regimens.
- MeSH
- amputace * statistika a číselné údaje MeSH
- diabetická noha * chirurgie epidemiologie MeSH
- dolní končetina chirurgie MeSH
- hodnocení rizik metody MeSH
- kohortové studie MeSH
- lidé středního věku MeSH
- lidé MeSH
- prediktivní hodnota testů MeSH
- prospektivní studie MeSH
- rizikové faktory MeSH
- senioři MeSH
- senzitivita a specificita MeSH
- Check Tag
- lidé středního věku MeSH
- lidé MeSH
- mužské pohlaví MeSH
- senioři MeSH
- ženské pohlaví MeSH
- Publikační typ
- časopisecké články MeSH
- validační studie MeSH
- Geografické názvy
- Dánsko MeSH
PURPOSE: Dual velocity encoding PC-MRI can produce spurious artifacts when using high ratios of velocity encoding values (VENCs), limiting its ability to generate high-quality images across a wide range of encoding velocities. This study aims to propose and compare dual-VENC correction methods for such artifacts. THEORY AND METHODS: Two denoising approaches based on spatiotemporal regularization are proposed and compared with a state-of-the-art method based on sign correction. Accuracy is assessed using simulated data from an aorta and brain aneurysm, as well as 8 two-dimensional (2D) PC-MRI ascending aorta datasets. Two temporal resolutions (30,60) ms and noise levels (9,12) dB are considered, with noise added to the complex magnetization. The error is evaluated with respect to the noise-free measurement in the synthetic case and to the unwrapped image without additional noise in the volunteer datasets. RESULTS: In all studied cases, the proposed methods are more accurate than the Sign Correction technique. Using simulated 2D+T data from the aorta (60 ms, 9 dB), the Dual-VENC (DV) error 0.82±0.07$$ 0.82\pm 0.07 $$ is reduced to: 0.66±0.04$$ 0.66\pm 0.04 $$ (Sign Correction); 0.34±0.04$$ 0.34\pm 0.04 $$ and 0.32±0.04$$ 0.32\pm 0.04 $$ (proposed techniques). The methods are found to be significantly different (p-value <0.05$$ <0.05 $$ ). Importantly, brain aneurysm data revealed that the Sign Correction method is not suitable, as it increases error when the flow is not unidirectional. All three methods improve the accuracy of in vivo data. CONCLUSION: The newly proposed methods outperform the Sign Correction method in improving dual-VENC PC-MRI images. Among them, the approach based on temporal differences has shown the highest accuracy.
- MeSH
- algoritmy * MeSH
- aorta * diagnostické zobrazování MeSH
- artefakty * MeSH
- fantomy radiodiagnostické MeSH
- interpretace obrazu počítačem metody MeSH
- intrakraniální aneurysma diagnostické zobrazování MeSH
- lidé MeSH
- magnetická rezonanční tomografie * metody MeSH
- mozek diagnostické zobrazování MeSH
- počítačová simulace MeSH
- počítačové zpracování obrazu * metody MeSH
- poměr signál - šum * MeSH
- reprodukovatelnost výsledků MeSH
- Check Tag
- lidé MeSH
- Publikační typ
- časopisecké články MeSH
Magnetic resonance spectroscopic imaging (MRSI) enables the simultaneous noninvasive acquisition of MR spectra from multiple spatial locations inside the brain. Although 1H-MRSI is increasingly used in the human brain, it is not yet widely applied in the preclinical setting, mostly because of difficulties specifically related to very small nominal voxel size in the rat brain and low concentration of brain metabolites, resulting in low signal-to-noise ratio (SNR). In this context, we implemented a free induction decay 1H-MRSI sequence (1H-FID-MRSI) in the rat brain at 14.1 T. We combined the advantages of 1H-FID-MRSI with the ultra-high magnetic field to achieve higher SNR, coverage, and spatial resolution in the rat brain and developed a custom dedicated processing pipeline with a graphical user interface for Bruker 1H-FID-MRSI: MRS4Brain toolbox. LCModel fit, using the simulated metabolite basis set and in vivo measured MM, provided reliable fits for the data at acquisition delays of 1.30 ms. The resulting Cramér-Rao lower bounds were sufficiently low (< 30%) for eight metabolites of interest (total creatine, N-acetylaspartate, N-acetylaspartate + N-acetylaspartylglutamate, total choline, glutamine, glutamate, myo-inositol, and taurine), leading to highly reproducible metabolic maps. Similar spectral quality and metabolic maps were obtained with one and two averages, with slightly better contrast and brain coverage due to increased SNR in the latter case. Furthermore, the obtained metabolic maps were accurate enough to confirm the previously known brain regional distribution of some metabolites. The acquisitions proved high reproducibility over time. We demonstrated that the increased SNR and spectral resolution at 14.1 T can be translated into high spatial resolution in 1H-FID-MRSI of the rat brain in 13 min using the sequence and processing pipeline described herein. High-resolution 1H-FID-MRSI at 14.1 T provided robust, reproducible, and high-quality metabolic mapping of brain metabolites with minimal technical limitations.
- MeSH
- krysa rodu rattus MeSH
- magnetická rezonanční tomografie metody MeSH
- metabolom MeSH
- mozek * metabolismus diagnostické zobrazování MeSH
- poměr signál - šum MeSH
- potkani Sprague-Dawley MeSH
- potkani Wistar MeSH
- protonová magnetická rezonanční spektroskopie metody MeSH
- zvířata MeSH
- Check Tag
- krysa rodu rattus MeSH
- mužské pohlaví MeSH
- zvířata MeSH
- Publikační typ
- časopisecké články MeSH
Acquiring pulmonary circulation parameters as a potential marker of cardiopulmonary function is not new. Methods to obtain these parameters have been developed over time, with the latest being first-pass perfusion sequences in cardiovascular magnetic resonance (CMR). Even though more data on these parameters has been recently published, different nomenclature and acquisition methods are used across studies; some works even reported conflicting data. The most commonly used circulation parameters obtained using CMR include pulmonary transit time (PTT) and pulmonary transit beats (PTB). PTT is the time needed for a contrast agent (typically gadolinium-based) to circulate from the right ventricle (RV) to the left ventricle (LV). PTB is the number of cardiac cycles the process takes. Some authors also include corrected heart rate (HR) versions along with standard PTT. Besides other methods, CMR offers an option to assess stress circulation parameters, but data are minimal. This review aims to summarize the up-to-date findings and provide an overview of the latest progress on this promising, dynamically evolving topic.
U nádorů gastrointestinálního traktu dnes vedle stanovení histologické diagnózy, grade a stage hraje zásadní roli rovněž tzv. prediktivní testování. To slouží zejména k identifikaci molekulárních cílů pro moderní onkologickou terapii. U karcinomů jícnu a žaludku je dnes standardem vyšetření exprese a amplifikace HER2, exprese proteinů mismatch repair (MMR) systému a vyšetření exprese PD-L1. U karcinomu žaludku se v blízké budoucnosti testování rozšíří o další markery, zejména exprese claudinu 18.2 či receptoru FGFR2a. U kolorektálního karcinomu je standardem prediktivního vyšetření stanovení mutací RAS (KRAS a NRAS), BRAF a dále zhodnocení mikrosatelitní instability, jen vzácně lze nalézt rovněž terapeuticky cílitelné genové fúze. U karcinomu pankreatu se lze setkat s případy deficience MMR, mutacemi BRCA1/2, zcela raritně lze identifikovat další cílitelné aberace. U nádorů žlučníku a žlučových cest hledáme zejména mutace IDH1 a IDH2, fúze a mutace genu FGFR2, amplifikace či mutace HER2, mutace BRAF či mutace BRCA1/2. Všechny výsledky by měly být projednány v rámci molekulárního tumor boardu.
In addition to the histological diagnosis, grade and stage, predictive testing plays a crucial role in gastrointestinal tumours today. This is mainly used to identify molecular targets for modern cancer therapy. In esophageal and gastric cancers, HER2 expression and amplification, mismatch repair (MMR) system protein deficiency and PD-L1 expression are tested routinely. In colorectal cancer, it is namely detection of RAS (KRAS and NRAS) and BRAF mutations, as well as the assessment of microsatellite instability; targetable gene fusions are found rarely only. In pancreatic cancer, cases of MMR deficiency, BRCA1/2 mutations and other targetable aberrations can be identified quite rarely. In gallbladder and biliary tract cancers, we are mainly looking for IDH1 and IDH2 mutations, FGFR2 gene fusions and mutations, HER2 amplifications or mutations, as well as mutations of BRAF or BRCA1/2. All results should be discussed within the molecular tumor board.
- MeSH
- diagnostické techniky molekulární MeSH
- gastrointestinální nádory * diagnóza genetika klasifikace MeSH
- genetické testování MeSH
- lidé MeSH
- mutace genetika MeSH
- nádorové biomarkery * genetika MeSH
- prediktivní hodnota testů MeSH
- Check Tag
- lidé MeSH
- Publikační typ
- práce podpořená grantem MeSH
- přehledy MeSH
Electrochemical Drilling (ECD) is an unconventional method aimed at creating holes in metallic workpieces characterized by high hardness and complex structures. This study analyzes the influence of process variables, including machining voltage, electrolyte concentration, electrode rotational speed, electrolyte flushing pressure, and workpiece material, on the novel hole performance index (HPI) in electrical discharge machining (ECD). The HPI was identified as a suitable metric for simultaneously evaluating hole geometry and drilling time across various machining parameters and workpiece materials. The analysis of variance (ANOVA) method was employed to determine the significance of each machining parameter and workpiece material on the HPI. The research employed signal-to-noise ratio analysis to identify the optimal machining parameters. The findings demonstrated that the workpiece material and machining voltage were significant factors influencing HPI. The validation tests demonstrated that the proposed statistical method can significantly reduce HPI.
- MeSH
- elektrochemické techniky * metody MeSH
- elektrody MeSH
- poměr signál - šum MeSH
- Publikační typ
- časopisecké články MeSH
Brucellosis is a zoonosis caused by Brucella, which poses a great threat to human health and animal husbandry. Pathogen surveillance is an important measure to prevent brucellosis, but the traditional method is time-consuming and not suitable for field applications. In this study, a recombinase polymerase amplification-SYBR Green I (RPAS) assay was developed for the rapid and visualized detection of Brucella in the field by targeting BCSP31 gene, a conserved marker. The method was highly specific without any cross-reactivity with other common bacteria and its detection limit was 2.14 × 104 CFU/mL or g of Brucella at 40 °C for 20 min. It obviates the need for costly instrumentation and exhibits robustness towards background interference in serum, meat, and milk samples. In summary, the RPAS assay is a rapid, visually intuitive, and user-friendly detection that is highly suitable for use in resource-limited settings. Its simplicity and ease of use enable swift on-site detection of Brucella, thereby facilitating timely implementation of preventive measures.
- MeSH
- Brucella * genetika izolace a purifikace MeSH
- brucelóza * diagnóza mikrobiologie MeSH
- DNA bakterií genetika MeSH
- lidé MeSH
- limita detekce MeSH
- mléko mikrobiologie MeSH
- rekombinasy * metabolismus genetika MeSH
- senzitivita a specificita MeSH
- skot MeSH
- techniky amplifikace nukleových kyselin * metody MeSH
- zvířata MeSH
- Check Tag
- lidé MeSH
- skot MeSH
- zvířata MeSH
- Publikační typ
- časopisecké články MeSH
Tento článek se zaměřuje na aktuální a komplexní přehled o stroke mimics (SM), jež představují výzvu pro diferenciální diagnostiku vzhledem k širokému spektru jejich příznaků podobných CMP. Uvádíme stručná epidemiologická data, klinický obraz a čtyři prediktivní škály vyvinuté pro diagnostiku SM, které byly identifikovány na základě literární rešerše: TeleStroke Mimic Score (TSM), FABS, simplified FABS (sFABS) a Khan score. Tyto validované nástroje mohou podpořit rychlé a efektivní rozhodování o léčbě v prostředí urgentního příjmu s cílem minimalizovat zpoždění v poskytování adekvátní péče pacientům s CMP. Rádi bychom upozornili na význam správného rozpoznání SM s ohledem na časovou citlivost rekanalizační léčby, důrazem na optimalizaci léčby a management pacientů s akutně vzniklými neurologickými příznaky.
The article presents a current and comprehensive review of stroke mimics (SM), which represent a challenge for differential diagnosis due to their wide range of similar symptoms with strokes. It delves into the brief epidemiology, clinical features, and four predictive scales for SM diagnosis, which were identified on the basis of a literature search: TeleStroke Mimic Score (TSM), FABS, simplified FABS (sFABS), and Khan score. These validated tools might support rapid and efficient decision-making regarding treatment in an emergency department setting with the goal of minimizing delays in providing adequate care to patients with stroke. We would like to highlight the importance of correct identification of SM given the time sensitivity of revascularization treatment, with a focus on optimizing treatment and management of patients with acute onset of neurological symptoms.
- Klíčová slova
- stroke mimics,
- MeSH
- cévní mozková příhoda diagnóza patologie MeSH
- diferenciální diagnóza MeSH
- lidé MeSH
- nemoci nervového systému * diagnóza epidemiologie klasifikace patologie MeSH
- neurologické manifestace MeSH
- neurologické vyšetření klasifikace MeSH
- prediktivní hodnota testů * MeSH
- Check Tag
- lidé MeSH
- Publikační typ
- práce podpořená grantem MeSH
- přehledy MeSH
- MeSH
- biologické markery MeSH
- lidé MeSH
- novorozenec MeSH
- placentární růstový faktor MeSH
- předčasná porodní činnost * MeSH
- prediktivní hodnota testů MeSH
- preeklampsie * MeSH
- receptor 1 pro vaskulární endoteliální růstový faktor MeSH
- Check Tag
- lidé MeSH
- novorozenec MeSH
- ženské pohlaví MeSH
- Publikační typ
- dopisy MeSH
BACKGROUND: Subtle, prognostically important ECG features may not be apparent to physicians. In the course of supervised machine learning, thousands of ECG features are identified. These are not limited to conventional ECG parameters and morphology. We aimed to investigate whether neural network-derived ECG features could be used to predict future cardiovascular disease and mortality and have phenotypic and genotypic associations. METHODS: We extracted 5120 neural network-derived ECG features from an artificial intelligence-enabled ECG model trained for 6 simple diagnoses and applied unsupervised machine learning to identify 3 phenogroups. Using the identified phenogroups, we externally validated our findings in 5 diverse cohorts from the United States, Brazil, and the United Kingdom. Data were collected between 2000 and 2023. RESULTS: In total, 1 808 584 patients were included in this study. In the derivation cohort, the 3 phenogroups had significantly different mortality profiles. After adjusting for known covariates, phenogroup B had a 20% increase in long-term mortality compared with phenogroup A (hazard ratio, 1.20 [95% CI, 1.17-1.23]; P<0.0001; phenogroup A mortality, 2.2%; phenogroup B mortality, 6.1%). In univariate analyses, we found phenogroup B had a significantly greater risk of mortality in all cohorts (log-rank P<0.01 in all 5 cohorts). Phenome-wide association study showed phenogroup B had a higher rate of future atrial fibrillation (odds ratio, 2.89; P<0.00001), ventricular tachycardia (odds ratio, 2.00; P<0.00001), ischemic heart disease (odds ratio, 1.44; P<0.00001), and cardiomyopathy (odds ratio, 2.04; P<0.00001). A single-trait genome-wide association study yielded 4 loci. SCN10A, SCN5A, and CAV1 have roles in cardiac conduction and arrhythmia. ARHGAP24 does not have a clear cardiac role and may be a novel target. CONCLUSIONS: Neural network-derived ECG features can be used to predict all-cause mortality and future cardiovascular diseases. We have identified biologically plausible and novel phenotypic and genotypic associations that describe mechanisms for the increased risk identified.
- MeSH
- časové faktory MeSH
- elektrokardiografie * MeSH
- fenotyp * MeSH
- hodnocení rizik MeSH
- kardiovaskulární nemoci diagnóza mortalita genetika patofyziologie MeSH
- lidé středního věku MeSH
- lidé MeSH
- neuronové sítě (počítačové) * MeSH
- prediktivní hodnota testů * MeSH
- prognóza MeSH
- reprodukovatelnost výsledků MeSH
- rizikové faktory MeSH
- senioři MeSH
- srdeční frekvence MeSH
- strojové učení bez učitele MeSH
- Check Tag
- lidé středního věku MeSH
- lidé MeSH
- mužské pohlaví MeSH
- senioři MeSH
- ženské pohlaví MeSH
- Publikační typ
- časopisecké články MeSH
- multicentrická studie MeSH
- Geografické názvy
- Spojené státy americké MeSH
