Miracle-dz/UniFAR-FTUs huggingface dataset:
Prediction of Lymph Node Metastasis in Patients With Papillary Thyroid Carcinoma: A Radiomics Method Based on Preoperative Ultrasound Images

Background: Papillary thyroid carcinoma is a type of indolent tumor with a dramatically increasing incidence rate and stably high survival rate. Reducing the overdiagnosis and overtreatment of papillary thyroid carcinoma is clinically emergent and important. A radiomics model is proposed in this article to predict lymph node metastasis, the most important risk factor of papillary thyroid carcinoma, based on noninvasive routine preoperative ultrasound images. Methods: Four hundred fifty ultrasound manually segmented images of patients with papillary thyroid carcinoma with lymph node status obtained from pathology report were enrolled in our retrospective study. A radiomics evaluation of 614 high-throughput features were calculated, including size, shape, margin, boundary, orientation, position, echo pattern, posterior acoustic pattern, and calcification features. Then, combined feature selection strategy was used to select features with the greatest ability to discriminate lymph node status. A support vector machine classifier was employed to build and validate the prediction model. Another independent testing cohort was used to further evaluate the performance of the radiomics model. Results: Among 614 radiomics features, 50 selected features most reflecting echo pattern, posterior acoustic pattern, and calcification showed the superior lymph node status distinguishable performance with area under the receiver operating characteristic curve of 0.753, 0.740, and 0.743 separately when using each type of features predicting the lymph node status. The results of model based on all 50 final features predicting the lymph node status shown an area under the receiver operating characteristic curve of 0.782, and accuracy of 0.712. In the independent testing cohort, the proposed approach showed similar results, with area under the receiver operating characteristic curve of 0.727 and accuracy of 0.710. Conclusion: Papillary thyroid carcinoma with lymph node metastasis usually shows a complex echo pattern, posterior region homogeneity, and macrocalcification or multiple calcification. The radiomics model proposed in this article is a promising method for assessing the risk of papillary thyroid carcinoma metastasis noninvasively.
PTEN Expression in Prostate Cancer: Relationship With Clinicopathologic Features and Multiparametric MRI Findings.

OBJECTIVE The objective of our study was to investigate whether phosphatase and tensin homolog (PTEN) expression is associated with clinicopathologic features and multiparametric MRI findings in prostate cancer. MATERIALS AND METHODS Forty-three patients with prostate cancer who underwent radical prostatectomy were included. Index tumor was identified on pretreatment MRI and delineated in the area that correlated best with histopathology results. The apparent diffusion coefficient (ADC) from DWI and pharmacokinetic parameters derived from dynamic contrast-enhanced MRI (DCE-MRI) using the extended Tofts model (Ktrans, kep, ve, and vp) within the tumor were estimated. The following clinicopathologic parameters were assessed: pretreatment serum levels of prostate-specific antigen, disseminated tumor cell status, age, Gleason score, tumor size, extraprostatic extension (EPE), tumor location, and lymph node metastases. Gene expression profiles were acquired in biopsies from the tumor using bead arrays, and validated using reverse transcription quantitative polymerase chain reaction (RT-qPCR) on a different part of the biopsy. RESULTS Based on bead arrays (p = 0.006) and RT-qPCR (p = 0.03) data, a significantly lower ADC was found in tumors with low PTEN expression. Moreover, PTEN expression was negatively associated with lymph node metastases (bead arrays, p = 0.008; RT-qPCR, p < 0.001). A weak but significant association between PTEN expression, EPE (p = 0.048), and Gleason score (p = 0.028) was revealed on bead arrays. ADC was negatively correlated with Gleason score (p = 0.001) and tumor size (p = 0.023). No association among DCE parameters, PTEN expression, and clinicopathologic features was found. CONCLUSION ADC derived from DWI may be useful in selecting patients with potentially aggressive tumor caused by PTEN deficiency.
A Prospective Study of Alcohol Use Patterns and Short‐Term Weight Change in College Freshmen

BACKGROUND The transition to college is a developmentally sensitive time in which freshmen are at high risk for engaging in heavy drinking and experiencing changes in weight and body composition. The study tested prospective associations among drinking patterns (weekly drinks, heavy drinking occasions/month) and alcohol calorie intake on weight and waist circumference change over the first year of college. METHODS College freshmen (N = 103) were randomly selected from a pool of eligible students to participate at the beginning of the academic year. The sample was comprised of 52% males, 46% of individuals identifying as racial or ethnic minority, and 45% students with at-risk drinking as defined by the Alcohol Use Disorders Identification Test-Consumption questions. Students engaging in daily risky drinking (n = 2) were excluded. Participants attended 3 visits during the academic year during which they provided weight and waist circumference measurements and completed assessments about drinking, dietary intake, and physical activity. RESULTS Weight gain (>2.3 kg) occurred in 28% of participants. In linear mixed models, drinking patterns and alcohol calorie intake were not associated with weight or waist circumference changes within individuals, when controlling for demographic and energy balance variables. Drinking patterns and alcohol calorie intake did not account for differences in anthropometric measurements between participants, when controlling for covariates. CONCLUSIONS Alcohol use did not explain the anthropometric changes observed in a sample well represented by freshmen engaging in risky drinking (and excluding those with daily risky drinking) during the academic year. Drinking may not contribute to short-term weight gain among freshmen.
Normal Liver Stiffness Values in Children: A Comparison of Three Different Elastography Methods

Objectives: Noninvasive tests for the evaluation of liver fibrosis are particularly helpful in children to avoid general anesthesia and potential complications of invasive tests. We aimed to establish reference values for 2 different elastography methods in a head-to-head comparison for children and adolescents 4 to 17 years, using transient elastography as common reference in a subset. Methods: A total of 243 healthy participants aged 4 to 17 years were examined by a single observer with a full liver B-mode scan before elastography, following a minimum of 3 hours fasting. Liver stiffness measurements (LSMs) using 2-dimensional shear wave elastography (2D-SWE, GE Logiq E9) and point shear wave elastography (pSWE, Samsung RS80A with Prestige) were performed in all participants, and compared to transient elastography (TE, FibroScan) in a subset (n = 87). Interobserver agreement was evaluated in 50 children aged 4 to 17 years. Results: Valid measurements were obtained in 242 of 243 (99.6%) subjects for 2D-SWE, 238 of 243 (97.9%) for pSWE, and in 83 of 87 (95.4%) for TE. Median liver stiffness overall was 3.3 (interquartile range [IQR] 2.7–4.3), 4.1 (IQR 3.6–4.7), and 4.1 kPa (IQR 3.5–4.6) for 2D-SWE, pSWE, and TE, respectively. Intraclass correlation coefficients between observers were 0.84 and 0.83 for 2D-SWE and pSWE, respectively. LSM values were significantly lower for 2D-SWE compared to pSWE and TE, and increased with advancing age. Higher LSM values in males were observed in adolescents. Conclusions: All methods showed excellent feasibility. 2D-SWE showed significantly lower LSM values than pSWE and TE, and lower failure rate compared to TE. Our results further indicate an age and sex effect on LSM values.
Critical Review of Volatile Organic Compound Analysis in Breath and In Vitro Cell Culture for Detection of Lung Cancer

Breath analysis is a promising technique for lung cancer screening. Despite the rapid development of breathomics in the last four decades, no consistent, robust, and validated volatile organic compound (VOC) signature for lung cancer has been identified. This review summarizes the identified VOC biomarkers from both exhaled breath analysis and in vitro cultured lung cell lines. Both clinical and in vitro studies have produced inconsistent, and even contradictory, results. Methodological issues that lead to these inconsistencies are reviewed and discussed in detail. Recommendations on addressing specific issues for more accurate biomarker studies have also been made.
An actuated neural probe architecture for reducing gliosis-induced recording degradation

Glial encapsulation of chronically implanted neural probes inhibits recording and stimulation, and this signal loss is a significant factor limiting the clinical viability of most neural implant topologies for decades-long implantation. We demonstrate a mechanical proof of concept for silicon shank-style neural probes intended to minimize gliosis near the recording sites. Compliant whiskers on the edges of the probe fold inward to minimize tissue damage during insertion. Once implanted to the target depth and retracted slightly, these whiskers splay outward. The splayed tips, on which recording sites could be patterned, extend beyond the typical 50-100 micron radius of a glial scar. The whiskers are micron-scale to minimize or avoid glial scarring. Electrically inactive devices with whiskers of varying widths and curvature were designed and monolithically fabricated from a five-micron silicon-on-insulator (SOI) wafer, and their mechanical functionality was demonstrated in a 0.6% agar brain phantom. Deflection was plotted versus deflection speed, and those that were most compliant actuated successfully. This probe requires no preparation for use beyond what is typical for a shank-style silicon probe.
Incidence, Risk factors, and Biomarkers Predicting Ischemic or Hemorrhagic Stroke Associated Acute Kidney Injury and Outcome: A Retrospective Study in a General Intensive Care Unit

Objective: We investigated the epidemiology, risk factors, and predictive parameters for ischemic or hemorrhagic stroke-associated acute kidney injury (AKI) and mortality in a general intensive care unit (ICU) in China. Methods: During 5 years, 479 stroke patients were screened, and 381 were enrolled. AKI was diagnosed within 7 days after ICU admission, based on the Kidney Disease Improving Global Outcomes criteria. Risk factors of AKI were assessed by Logistic regression analyses, and the predictive biomarkers for AKI were determined using receiver operating characteristic (ROC) curves. Also examined were factors influencing 28-day mortality, using Cox regression analyses and Kaplan-Meier curves. Results: Among all, 115 (30.18%) patients developed AKI. Multivariate regression analyses revealed that the following features at ICU admission significantly increased the risk of developing AKI: an increased National Institutes of Health Stroke Scale score (OR 1.136, p < 0.001) and Acute Physiology and Chronic Health Evaluation II score (OR 1.107, p = 0.042); hypertension (OR 2.346, p = 0.008); use of loop diuretics (OR 1.961, p = 0.032); and higher serum cystatin C (sCysC; OR 8.156, p = 0.001). The area under the ROC curves for predicting AKI using sCysC was 0.772, slightly better than that of other biomarkers. The sCysC ≥0.93 mg/L (hazard ratio 1.844, p = 0.004) significantly predicted 28-day mortality. Conclusions: Among stroke patients in ICU, we identified significant risk factors of stroke-associated AKI. Serum CysC level at ICU admission was an important biomarker for predicting AKI and 28-day mortality.
Machine Learning–Based Model for Prediction of Outcomes in Acute Stroke

Background and Purpose— The prediction of long-term outcomes in ischemic stroke patients may be useful in treatment decisions. Machine learning techniques are being increasingly adapted for use in the medical field because of their high accuracy. This study investigated the applicability of machine learning techniques to predict long-term outcomes in ischemic stroke patients. Methods— This was a retrospective study using a prospective cohort that enrolled patients with acute ischemic stroke. Favorable outcome was defined as modified Rankin Scale score 0, 1, or 2 at 3 months. We developed 3 machine learning models (deep neural network, random forest, and logistic regression) and compared their predictability. To evaluate the accuracy of the machine learning models, we also compared them to the Acute Stroke Registry and Analysis of Lausanne (ASTRAL) score. Results— A total of 2604 patients were included in this study, and 2043 (78%) of them had favorable outcomes. The area under the curve for the deep neural network model was significantly higher than that of the ASTRAL score (0.888 versus 0.839; P<0.001), while the areas under the curves of the random forest (0.857; P=0.136) and logistic regression (0.849; P=0.413) models were not significantly higher than that of the ASTRAL score. Using only the 6 variables that are used for the ASTRAL score, the performance of the machine learning models did not significantly differ from that of the ASTRAL score. Conclusions— Machine learning algorithms, particularly the deep neural network, can improve the prediction of long-term outcomes in ischemic stroke patients.
Diagnostic and Prognostic Value of Using 18F-FDG PET/CT for the Evaluation of Bone Marrow Involvement in Peripheral T-Cell Lymphoma

Purpose No study has analyzed a sizeable cohort that comprised solely peripheral T-cell lymphoma (PTCL) patients for the diagnostic and prognostic performance of 18F-FDG PET/CT for bone marrow (BM) involvement. This study aimed to investigate the utility of PET/CT for the identification of BM involvement and to explore its prognostic relevance in patients with PTCL. Methods Eighty-three consecutive patients with newly diagnosed PTCL were enrolled in this retrospective study. The diagnosis of BM involvement was confirmed on the basis of positive BM histology or disappearance of marrow abnormalities on follow-up PET/CT concurrently with a successful treatment response. Results Of 28 patients with confirmed BM involvement, BM biopsy (BMB) and PET/CT detected an involvement in 17 and 25 patients. Among 66 patients with negative BM histology, 11 patients had BM involvement detected by PET/CT and furthermore showed significantly shorter progression-free and overall survival than patients without BM involvement. We recategorized the International Prognostic Index (IPI) risk groups based on the presence of BM involvement using the combined assessment of iliac crest marrow biopsy histology and PET/CT (PET/BMB-based IPI). PET/BMB-based IPI tended to perform better than conventional BMB-based IPI. Conclusions This study included the largest population of PTCL patients for PET/CT evaluation of BM involvement so far. PET/CT exhibited a higher sensitivity for BM involvement than BMB. Furthermore, BM assessment using PET/CT identified patients at high risk of disease progression and mortality among those with negative BM histology, suggesting that PET/CT may have a potential to improve existing prognostic strategies in PTCL.
Attitudes of Doctors and Nurses toward Patient Safety within Emergency Departments of a Saudi Arabian Hospital: A Qualitative Study

Background: The attitudes of doctors and nurses toward patient safety representa significant contributing factor to hospital safety climates and medical error rates. Yet, there are very few studies of patient safety attitudes in Saudi hospitals and none conducted in hospital emergency departments. Aims: The current study aims to investigate and compare the patient safety attitudes of doctors and nurses in a Saudi hospital emergency department. Materials and Method: The study employed a qualitative research design via semi-structured interviews with Saudi and non-Saudi doctors and nurses working in a Saudi hospital emergency department to determine their attitudes and experiences about the patient safety climate. Results: Findings revealed doctors and nurses held some similar safety attitudes; however, nurses reported issues with doctors with respect to their teamwork, communication, and patient safety attitudes. Moreover, several barriers to the patient safety climate were identified, including limits to resources, teamwork, communication, and incident reporting. Conclusion: The findings provide one of the few research contributions to knowledge regarding the patient safety attitudes of Saudi and non-Saudi doctors and nurses and suggest the application of such knowledge would enhance positive patient outcomes in emergency departments.
Sertoli Cell Number Correlates with Serum Inhibin B in Infant Cryptorchid Boys

Postnatal maturation of Sertoli cells is crucial for male fertility. The aim of this study was to assess the association between the Sertoli cell number per tubule cross-section (SC/T), the serum level of the Sertoli cell-produced inhibin B, and the A-dark spermatogonia number per tubule (Ad/T) in cryptorchid boys. Forty infant cryptorchid boys aged 4-35 months (median: 13 months) were included in the study. During orchiopexy, blood samples for serum inhibin B, luteinizing hormone (LH), and follicle stimulating hormone (FSH) and testicular biopsies were obtained. Histological sections were evaluated by quantitative immunohistochemical and immunofluorescence analysis including VASA and SOX9 (Sertoli cell marker) in order to measure the tubular germ cell number (G/T), Ad/T, and SC/T. The SC/T correlated negatively with age (p < 0.0002) and positively with G/T, Ad/T, inhibin B, FSH, and LH (all p < 0.01). Inhibin B correlated with LH (p < 0.0001), but not with FSH (p = 0.2077). The SC/T:G/T ratio positively correlated with age (p < 0.0001). Boys with Ad spermatogonia at surgery had a higher number of Sertoli cells compared to boys without Ad spermatogonia. In conclusion, a correlation between Sertoli cell number and inhibin B was proven, indicating that inhibin B possibly reflects the function of Sertoli cells in infant cryptorchid boys.
Uremic neuropathy: an overview of the current literature.

INTRODUCTION Peripheral neuropathy is a disorder that affects the cell body, axon or myelin of motor or peripheral sensory neurons and occurs in 60-100% of patients who are submitted to dialysis due to chronic kidney disease. Uremic neuropathy is attributed to the accumulation of organic waste, evident in patients with reduced glomerular filtration rate. OBJECTIVES This review aims to make clinical characteristics of uremic neuropathy evident enabling early diagnosis and treatment. METHODS This is a literature review of articles published on PubMed over the last 10 years using "Uremic Neuropathy" as "Title/Abstract". RESULTS A total of nine articles that met the inclusion criteria were included. UN is a distal symmetric sensorimotor polyneuropathy that occurs due to the accumulation of uremic toxins associated with an oxidative stress-related free radical activity. Hyperkalemia is thought to play an important role in its pathophysiology. Diagnosis depends on nerve conduction studies, and treatment includes dialysis or renal transplant. CONCLUSION Clinical presentations of UN are broad and non-specific; nonetheless, it is important to detect early changes in order to avoid its progression. The earlier UN is diagnosed and treated, the more successful are the clinical outcomes.
Patient, family and nurse experiences with patient presence during handovers in acute care hospital settings: a systematic review of qualitative evidence

Objective: The objective of this systematic review was to synthesize the best available evidence on patients’, family members’ and nurses’ experiences with bedside handovers in acute care settings. Introduction: The transfer of patient information between nurses represents a critical component of safety within health care. Conducting handover at the bedside allows patients and families to participate in information exchanges. Studies that address bedside handover highlight benefits and concerns with their implementation. Insight into patients’, families’ and nurses’ experiences with bedside handovers can help to identify the most appropriate and safest approach to handovers. Inclusion criteria: The current review considered patients, family members and nurses in the acute care hospital setting. Nurses included licensed nurses, registered nurses, practical nurses, nursing assistants, nurse researchers, and advanced practice nurses. Methods: A three-step search strategy was used to identify English language qualitative primary research studies. Two reviewers independently appraised the included studies using the Joanna Briggs Institute (JBI) Critical Appraisal Checklist for Qualitative Research. Qualitative studies that considered attitudes, beliefs and experiences of patients, families and nurses on patient presence during bedside handover were considered for this review. Papers included in the review were from 1998 to 2017. Results: The review included 12 qualitative publications. Key findings were extracted and classified as unequivocal (U) or credible (C). A total of 96 findings were extracted and aggregated into 14 categories. From the 14 categories, five synthesized findings were developed: i) becoming more informed; ii) upholding confidentiality and privacy; iii) varying desire and ability to participate; iv) individualizing patient care; and v) challenges in conducting bedside handovers can be overcome with adaptive practices. Conclusions: This review captured the experiences of patients, families and nurses with patient presence during bedside handovers in a hospital setting. For the most part, patients and families describe bedside handover positively, reporting feeling more informed and engaged in care. This review highlights areas where patients’ and nurses’ views on bedside reporting may differ, particularly in the areas of desire to participate and the need for confidentiality. Although hospital environments can create challenges in sharing personal patient information at the bedside, these may be overcome through education and by the adoption of a flexible and individualized approach.
Smell your memories: Positive effect of odor exposure on recent and remote autobiographical memories in Alzheimer’s disease

ABSTRACT Introduction: There is a burgeoning interest in the effects of odor exposure on autobiographical memory in Alzheimer’s disease (AD). We pursued this line of research by assessing the effect of odor exposure on the retrieval of recent and remote memories in AD. Method: Twenty-six patients with mild AD and 28 controls were tested in two conditions: with and without odor exposure. In each condition, participants were invited to retrieve two childhood memories, two adulthood memories, and two recent memories. Results: Analysis showed that AD patients produced a higher number of and more specific childhood memories, adulthood memories, and recent memories after odor exposure than without odor. Discussion: These findings demonstrate how odor exposure may alleviate anterograde and retrograde amnesia, at least when considering the ability of patients with mild AD to retrieve few recent or remote memories.