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Despite the importance of stroke volume readings in understanding the work of the cardiovascular system in patients, its routine daily measurement outside of a hospital in the absence of special equipment presents a problem for a comprehensive assessment of the heart performance.
The purpose of this study was to develop a new non-invasive technique for measuring a stroke volume based on the relationship between time skin warming and a blood flow.
. Ninety two randomly selected volunteers (54 males, aged 30.1±11.9 years old, and 38 females, aged 35.8±12.4 years old) were recruited for this study. The time skin warming was determined by applying on the wrist above the arterial pulsation a thermoelectric cooler using the Peltier effect. selleckchem During recording the participants were in the supine position. Blood pressure was measured by sphygmomanometer. Heart performance was assessed by Murata ballistocardiographic sensor, detecting displacement of the whole body during each cardiac ejection of blood. The data pre proposed method reliable for assessing of the cardiovascular system. This daily practice technique would help healthcare provider get an early diagnosis of cardiac dysfunctions and track heart changes during stress, e.g., in sport.
The method described in the paper offers a simple, portable, and low-cost solution that can even be used in a home setting to measure the stroke volume. The principle of the proposed method is based on the interrelation between time skin warming and blood flow. The latter, corrected by corresponding age and pulse pressure, expresses the participant's stroke volume. Adopting the genetic-fuzzy model significantly improved the accuracy of stroke volume's measurement and made the proposed method reliable for assessing of the cardiovascular system. This daily practice technique would help healthcare provider get an early diagnosis of cardiac dysfunctions and track heart changes during stress, e.g., in sport.
We present SYLVIUS, a software platform intended to facilitate and improve the complex workflow required to diagnose and surgically treat drug-resistant epilepsies. In complex epilepsies, additional invasive information from exploration with stereoencephalography (SEEG) with deep electrodes may be needed, for which the input from different diagnostic methods and clinicians from several specialties is required to ensure diagnostic efficacy and surgical safety. We aim to provide a software platform with optimal data flow among the different stages of epilepsy surgery to provide smooth and integrated decision making.
The SYLVIUS platform provides a clinical workflow designed to ensure seamless and safe patient data sharing across specialities. link2 It integrates tools for stereo visualization, data registration, transfer of electrode plans referred to distinct datasets, automated postoperative contact segmentation, and novel DWI tractography analysis. Nineteen cases were retrospectively evaluated to track modifications from an initial plan to obtain a final surgical plan, using SYLVIUS.
The software was used to modify trajectories in all 19 consulted cases, which were then imported into the robotic system for the surgical intervention. When available, SYLVIUS provided extra multimodal information, which resulted in a greater number of trajectory modifications.
The architecture presented in this paper streamlines epilepsy surgery allowing clinicians to have a digital clinical tool that allows recording of the different stages of the procedure, in a common multimodal 2D/3D setting for participation of different clinicians in defining and validating surgical plans for SEEG cases.
The architecture presented in this paper streamlines epilepsy surgery allowing clinicians to have a digital clinical tool that allows recording of the different stages of the procedure, in a common multimodal 2D/3D setting for participation of different clinicians in defining and validating surgical plans for SEEG cases.
Myocardial infarction (MI) is a critical acute ischemic heart disease, which can be early diagnosed by electrocardiogram (ECG). However, the most research of MI localization pay more attention on the specific changes in every ECG lead independent. In our study, the research envisages the development of a novel multi-lead MI localization approach based on the densely connected convolutional network (DenseNet).
Considering the correlation of the multi-lead ECG, the method using parallel 12-lead ECG, systematically exploited the correlation of the inter-lead signals. In addition, the dense connection of DenseNet enhanced the reuse of the feature information between the inter-lead and intra-lead signals. The proposed method automatically captured the effective pathological features, which improved the identification of MI.
The experimental results based on PTB diagnostic ECG database showed that the accuracy, sensitivity and specificity of the proposed method was 99.87%, 99.84% and 99.98% for 11 types of MI localization.
The proposed method has achieved superior results compared to other localization methods, which can be introduced into the clinical practice to assist the diagnosis of MI.
The proposed method has achieved superior results compared to other localization methods, which can be introduced into the clinical practice to assist the diagnosis of MI.
BRCA1/BRCA2 mutation carriers often undergo risk-reducing salpingo-oophorectomy (RRSO) before natural menopause, raising the issue of hormonal replacement treatment (HRT) use. There is conflicting evidence on the effect of HRT on breast cancer (BC) risk, and there are limited data on risk based on age at exposure. In the general population, HRT users have an increased BC risk (hazard ratio=1.34). We assessed the impact of short-term HRT use on BC risk among healthy BRCA1/2 mutation carriers, with emphasis on age at exposure to HRT.
A retrospective cohort of 306 consecutive healthy BRCA1/2 mutation carriers who had undergone RRSO was followed up for a mean of 7.26 years. We compared BC incidence over time in carriers who received HRT with that in those who did not receive.
Thirty-six of the carriers were diagnosed with BC, 20 of 148 patients (13.5%) in the HRT group compared with 16 of 155 (10.3%) in the non-HRT group (odds ratio [OR]=1.4, 95% confidence interval [CI]=0.7-2.7). In women who were aged 45 years or younger at RRSO, HRT did not affect BC rates. However, in those older than 45years at RRSO, BC rates were significantly higher in HRT users than in non-users (OR=3.43, p<0.05, 95% CI=1.2-9.8).
In BRCA1/BRCA2 carriers in this study, short-term post-RRSO HRT use was associated with a threefold risk of BC in carriers older than 45 years. These results suggest that risk may be related to time of exposure to HRT around the natural age of menopause, even among BRCA1/2 carriers. Further studies are needed for validationand to guide future recommendations.
In BRCA1/BRCA2 carriers in this study, short-term post-RRSO HRT use was associated with a threefold risk of BC in carriers older than 45 years. These results suggest that risk may be related to time of exposure to HRT around the natural age of menopause, even among BRCA1/2 carriers. Further studies are needed for validation and to guide future recommendations.
Immune checkpoint inhibitors (ICIs) have proved to be an effective treatment for up to 40% of muscle-invasive bladder cancer (MIBC), but there is still a need for better performing biomarkers allowing to improve prediction of response to ICI. Response to immunotherapy in soft-tissue sarcoma, melanoma and renal cell carcinoma have been recently linked to the presence of tertiary lymphoid structures (TLS) in the tumour. TLS are organised aggregates of T, B and dendritic cells, participating in adaptive antitumor immune response. The chemokine CXCL13 is involved in the formation of TLS, and is reported as a reliable transcriptomic marker of TLS.
In this study, we sought to assess whether CXCL13 transcript expression can be a prognostic biomarker for ICI-treated MIBC patients and also investigated whether it can serve a biomarker of TLS in MIBC.
We analysed transcriptomic data from three publicly available MIBC cohorts and evaluated pathological slides from the TCGA-BLCA cohort for TLS presence and stage of maturation.
We showed that CXCL13 was independently associated with both prolonged survival (HR=0.8, 95% CI [0.68-0.94]) and objective response (p<0.0001) in patients treated with ICI, at the difference of others immunological signatures. However, it was not a predictor for non-ICI-treated MIBC, suggesting a predictive effect of ICI efficacy. Finally, we validated that CXCL13 expression was correlated with tumour TLS in TCGA data set (p<0.001), and can serve as a marker of TLS in bladder cancer.
These results support that CXCL13 expression, as a surrogate for tumour TLS, is a relevant candidate predictive biomarker of response to ICI for patients with advanced-stage bladder cancer.
These results support that CXCL13 expression, as a surrogate for tumour TLS, is a relevant candidate predictive biomarker of response to ICI for patients with advanced-stage bladder cancer.
Few patients with pancreatic adenocarcinoma (PAC) are eligible for surgery. Patients with early relapse have a poor prognosis and might be better candidates for a medical approach. Clinical and pathological parameters only partially predict recurrence and are only obtained after surgery. PAC subtypes based on gene expression were proposed, and we assessed if they could predict the risk and type of recurrence independently of clinicopathological parameters.
Patients with curative-intent surgery for PAC without pretreatment were selected and divided into two independent cohorts defined as discovery (n=381) and validation (n=149) cohorts. Transcriptomic analyses were performed on formalin-fixed paraffin-embedded surgical samples to characterise tumour and stroma compartments using previously defined signatures. We associated molecular and clinicopathological characteristics with general, distant, and local recurrences using Cox regression analyses.
We found that tumour biology predicted distant recurrence tic potential, respectively), our results show the potency of molecular phenotype to predict patient outcome regarding distant recurrences.
To evaluate HER2-negative breast cancer (BC) with a low hormone receptor (HR) expression, with regard to pathological complete response (pCR) and survival, in comparison to triple-negative BC (TNBC) and strong HR-positive BC.
We compared negative [oestrogen (ER) and progesterone receptor (PR) <1%], low-positive (ER and/or PR 1-9%)and strong-positive (ER or PR 10-100%) HR-expression in neoadjuvant clinical trial cohorts (n=2765) of BC patients. End-points were disease-free survival (DFS), distant-disease free survival (DDFS)and overall survival (OS). We performed RNA sequencing on available tumour tissue samples from patients with low-HR expression (n=38).
Ninety-four (3.4%) patients had low HR-positive tumours, 1769 (64.0%) had strong HR-positive tumours, and 902 (32.6%) had TNBC. There were no significant differences in pCR rates between women with low HR-positive tumours (27.7%) and women with TNBC (35.5%). link3 DFS and DDFS were also not different [for DFS, hazard ratio 1.26, 95%-CI (confidence interval) 0.
My Website: https://www.selleckchem.com/
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