Exploratory Study of Apparent Diffusion Coefficient Histogram Metrics in Assessing Pancreatic Malignancy

PurposeTo evaluate whole-lesion 3D-histogram apparent diffusion coefficient (ADC) metrics for assessment of pancreatic malignancy.MethodsForty-two pancreatic malignancies (36 pancreatic adenocarcinoma [PDAC], 6 pancreatic neuroendocrine [PanNET]) underwent abdominal magnetic resonance imaging (MRI) with diffusion-weighted imaging before endoscopic ultrasound biopsy or surgical resection. Two radiologists independently placed 3D volumes of interest to derive whole-lesion histogram ADC metrics. Mann-Whitney tests and receiver operating characteristic analyses were used to assess metrics’ diagnostic performance for lesion histology, T-stage, N-stage, and grade.ResultsWhole-lesion ADC histogram metrics lower in PDACs than PanNETs for both readers (P ≤ .026) were mean ADC (area under the curve [AUC] = 0.787-0.792), mean of the bottom 10th percentile (mean_0-10) (AUC = 0.787-0.880), mean of the 10th-25th percentile (mean_10-25) (AUC = 0.884-0.917) and mean of the 25th-50th percentile (mean_25-50) (AUC = 0.829-0.829). For mean_10-25 (metric with highest AUC for identifying PDAC), for reader 1 a threshold > 0.94 × 10^?3 mm²/s achieved sensitivity 94% and specificity 83%, and for reader 2 a threshold > 0.82 achieved sensitivity 97% and specificity 67%. Metrics lower in nodal status ≥ N₁ than N₀ for both readers (P ≤ .043) were mean_0-10 (AUC = 0.789-0.822) and mean_10-25 (AUC = 0.800-0.822). For mean_10-25 (metric with highest AUC for identifying N₀), for reader 1 a threshold <1.17 achieved sensitivity 87% and specificity 67%, and for reader 2 a threshold <1.04 achieved sensitivity 87% and specificity 83%. No metric was associated with T-stage (P > .195) or grade (P > .215).ConclusionVolumetric ADC histogram metrics may serve as non-invasive biomarkers of pancreatic malignancy. Mean_10-25 outperformed standard mean for lesion histology and nodal status, supporting the role of histogram analysis.     

Predicting healthcare expenditure by multimorbidity groups

Objectives

This article has two main purposes. Firstly, to model the integrated healthcare expenditure for the entire population of a health district in Spain, according to multimorbidity, using Clinical Risk Groups (CRG). Secondly, to show how the predictive model is applied to the allocation of health budgets.

Teaching psychology to nursing students-a discussion of the potential contribution of psychology towards building resilience to lapses in compassionate caring

Psychology is a required element in nursing education in many countries. It is particularly aimed at teaching nursing students to get a better understanding of patients, colleagues, health care organizations and themselves, and moreover to apply what they learn about psychology to optimise their care. A meaningful integration of psychology within nursing education requires an emphasis on its application in understanding aspects of care and skills development. However, its ultimate value is demonstrated when addressing problem areas in nursing and health care. In this paper the authors outline an approach to psychology education in nursing which emphasises its development as a problem solving support. An example is presented which focuses on the application of psychology to the challenge of care erosion and deficient critical nursing reflection. The discussion includes the organisational context, social pressure, social cognition, reflection and the role of inner conflict (cognitive dissonance). Nursing educators can contribute to the prevention of care erosion by a combined effort to teach awareness of psychological mechanisms, ‘critical’ reflection, mastery in practice, strong values and standards, and ‘inoculation’ against justifications of substandard care.     

Spirituality in Aotearoa,New Zealand: Personal Reflections From a Spirituality in Health Care Researcher

Spirituality is about what is of utmost value; it is a values lens that asks “what really matters most to me, my family, our community, our country, and our world.” This personal reflection comes from a New Zealand academic who works in the spirituality and health care research field. Although largely biographical, this reflection offers some insight into the New Zealand context and this emergent field.     

利用数据挖掘对某医院零加成后慢病门诊费用分析

目的： 通过分析该院药品零加成后慢病门诊费用变化，为后续医保费用管控及合理用药提供参考意见。方法： 使用数据挖掘方法，分别利用费用消耗占比、月度次均费用变化情况以及皮尔逊相关系数（Pearson Correlation Coefficient）分析各类费用变化情况及药品费用对其他费用的影响。结果： 次均总费用、次均西成药费用、次均中草药费用整体呈现下降的趋势，次均检查费用、次均检验费用、次均挂号费用、次均手术费用、次均麻醉费用、次均治疗费用呈现上升趋势。结论： 次均总费用下降主要是由于次均西成药费的下降所产生的，但是次均西成药费下降与次均麻醉费用、次均检验费用、次均检查费用上升是呈现相关性的，这也揭示了次均总费用下降速度慢于次均西成药费下降速度的原因。     

Grading meningiomas utilizing multiparametric MRI with inclusion of susceptibility weighted imaging and quantitative susceptibility mapping

Background and purposeThe ability to predict high-grade meningioma preoperatively is important for clinical surgical planning. The purpose of this study is to evaluate the performance of comprehensive multiparametric MRI, including susceptibility weighted imaging (SWI) and quantitative susceptibility mapping (QSM) in predicting high-grade meningioma both qualitatively and quantitatively.MethodsNinety-two low-grade and 37 higher grade meningiomas in 129 patients were included in this study. Morphological characteristics, quantitative histogram analysis of QSM and ADC images, and tumor size were evaluated to predict high-grade meningioma using univariate and multivariate analyses. Receiver operating characteristic (ROC) analyses were performed on the morphological characteristics. Associations between Ki-67 proliferative index (PI) and quantitative parameters were calculated using Pearson correlation analyses.ResultsFor predicting high-grade meningiomas, the best predictive model in multivariate logistic regression analyses included calcification (β = 0.874, P = 0.110), peritumoral edema (β = 0.554, P = 0.042), tumor border (β = 0.862, P = 0.024), tumor location (β = 0.545, P = 0.039) for morphological characteristics, and tumor size (β = 4 × 10⁻⁵, P = 0.004), QSM kurtosis (β = − 5 × 10⁻³, P = 0.058), QSM entropy (β = − 0.067, P = 0.054), maximum ADC (β = − 1.6 × 10⁻³, P = 0.003), ADC kurtosis (β = − 0.013, P = 0.014) for quantitative characteristics. ROC analyses on morphological characteristics resulted in an area under the curve (AUC) of 0.71 (0.61–0.81) for a combination of them. There were significant correlations between Ki-67 PI and mean ADC (r = − 0.277, P = 0.031), 25^th percentile of ADC (r = − 0.275, P = 0.032), and 50^th percentile of ADC (r = − 0.268, P = 0.037).ConclusionsAlthough SWI and QSM did not improve differentiation between low and high-grade meningiomas, combining morphological characteristics and quantitative metrics can help predict high-grade meningioma.     

Tracking Spinal Cord Injury Functional Outcomes Across the Lifespan: Validation of Linking Coefficients

ObjectiveValidation of linking coefficients to transform Pediatric Spinal Cord Injury Activity Measure (PEDI-SCI/AM) scores to adult Spinal Cord Injury-Functional Index (SCI-FI) scores.DesignThis cross-sectional study administered PEDI-SCI/AM and SCI-FI computerized adaptive tests (CATs) and short forms (SFs) to children with SCI and parents or caregivers.SettingHospitals, university, and rehabilitation institute.ParticipantsAbout 107 children with SCI and 96 parent or caregivers.InterventionsNot applicable.Main Outcome MeasuresLinking coefficients estimated SCI-FI (est-SCI-FI) scores from PEDI-SCI/AM scores for matched domains. Correlations between est-SCI-FI and actual SCI-FI scores were calculated. If correlations exceeded the criterion linking (0.866), the following analyses to compare est-SCI-FI and actual SCI-FI scores were conducted: paired t tests, intraclass correlation coefficients (ICCs 3, 1), percent of cases with absolute score differences at different thresholds.ResultsTwo matched domains, PEDI-SCI/AM Daily Routine/SCI-FI Self-Care and PEDI-SCI/AM General Mobility/SCI-FI Basic Mobility, met the linking criterion for both respondent-types (parent and child) and administration modes (CAT and SF). PEDI-SCI/AM Daily Routine and SCI-FI Fine Motor Function did not meet linking criterion for respondent type or mode. The linking criterion was met for wheelchair domains (child SF and CAT) and ambulation domains (child SF only). Significant differences between est-SCI-FI and actual SCI-FI scores were noted for all matched domains except Daily Routine/Self-Care (child SF only; parent SF and CAT). ICC values showed excellent agreement (range=0.75-0.89). Absolute differences between est-SCI-FI and actual SCI-FI scores were less than 1 standard deviation (except wheelchair CAT child).ConclusionsLinking coefficients applied to PEDI-SCI/AM scores can provide valid SCI-FI estimates that vary by domain, mode, and respondent type.