Categories
Nevin Manimala Statistics

PET AIF estimation when available ROI data is impacted by dispersive and/or background effects

Phys Med Biol. 2023 Mar 21. doi: 10.1088/1361-6560/acc634. Online ahead of print.

ABSTRACT

Blood pool region of interest (ROI) data extracted from the field of view of a PET scanner can be impacted by both dispersive and background effects. This circumstance compromises the ability to correctly extract the arterial input function (AIF) signal. The paper explores a novel approach to addressing this difficulty. The method involves representing the AIF in terms of the whole-body impulse response (IP) to the injection profile. Analysis of a collection/population of directly sampled arterial data sets allows the statistical behaviour of the tracer’s IP to be evaluated. It is proposed that this information be used to develop a penalty term for construction of a data-adaptive method of regularization estimator of the AIF for use when dispersive and/or background effects maybe impacting the blood pool ROI data. Computational efficiency of the approach derives from the linearity of the IP representation of the AIF and the ability to substantially rely on quadratic programming techniques for numerical implementation.
Data from eight different tracers, used in PET cancer imaging studies, are considered. Sample image-based AIF extractions for brain studies with:18F-labeled fluoro-deoxyglucose (FDG) and fluoro-thymidine (FLT),11C-labeled carbon dioxide (CO2) and15O-labeled water (H2O) are presented. Results are compared to the true AIF based on direct arterial sampling. Formal numerical simulations are used to evaluate the performance of the AIF extraction method when the ROI data has varying amounts of contamination, in comparison to a direct approach that ignores such effects. It is found that even with quite small amounts of contamination, the mean squared error of the regularized AIF is significantly better than the error associated with direct use of the ROI data.
Overall the proposed IP-based AIF extraction scheme offers a promising methodological approach for cases where the input ROI data may be contaminated by background and/or dispersion effects.&#xD.

PMID:36944257 | DOI:10.1088/1361-6560/acc634

Categories
Nevin Manimala Statistics

The Effect of Guided Imagery on Postoperative Pain Management in Patients Undergoing Lower Extremity Surgical Operations: A Randomized Controlled Trial

Orthop Nurs. 2023 Mar-Apr 01;42(2):105-112. doi: 10.1097/NOR.0000000000000929.

ABSTRACT

Guided imagery distracts patients from disturbing feelings and thoughts, positively affects emotional well-being, and reduces pain by producing pleasing mental images. This study aimed to determine the effects of guided imagery on postoperative pain management in patients undergoing lower extremity surgery. This randomized controlled study was conducted between April 2018 and May 2019. This study included 60 patients who underwent lower extremity surgery. After using guided imagery, the posttest mean Visual Analog Scale score of patients in the intervention group was found to be 2.56 (1.00 ± 6.00), whereas the posttest mean score of patients in the control group was 4.10 (3.00 ± 6.00), and the difference between the groups was statistically significant (p <.001). Guided imagery reduces short-term postoperative pain after lower extremity surgery.

PMID:36944205 | DOI:10.1097/NOR.0000000000000929

Categories
Nevin Manimala Statistics

Relationship between parental exposure to radiofrequency electromagnetic fields and primarily hematopoietic neoplasms (lymphoma, leukemia) and tumors in the central nervous system in children: a systematic review

Rev Environ Health. 2023 Mar 22. doi: 10.1515/reveh-2022-0248. Online ahead of print.

ABSTRACT

Low-frequency electromagnetic fields have grown exponentially in recent years due to technological development and modernization. The World Health Organization (WHO)/International Agency for Research on Cancer (IARC) has classified radiofrequency electromagnetic fields (RF-EMFs) as possibly carcinogenic to humans (Group 2B), and recent studies have investigated the association between exposure to electromagnetic fields in parents and possible health effects in children, especially the development of tumours of the central nervous system (CNS). The objective of this systematic review was to collate all evidence on the relationship between parental occupational exposure to electromagnetic fields and the development of CNS cancer in children and to evaluate this association. This review was prepared according to the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) guidelines. PubMed, Embase, and Web of Science were searched from January 1990 to April 2021. The search was conducted using the following search string: “occupational” AND “child” AND “electromagnetic” AND “cancer”. Seventeen articles met our inclusion criteria: 13 case-control studies, two cohort studies, and 2 meta-analyses. Most of the studies showed several methodological weaknesses that limited their results. Due to a lack of consistency regarding the outcome as well as the heterogeneity in the reviewed studies, the body of evidence for the effects of parental exposure to electromagnetic fields is not clear. Methodological heterogeneity in the way that studies were conducted could be responsible for the lack of consistency in the findings. Overall, the body of evidence allows no conclusion on the question of whether parental exposure to electromagnetic.

PMID:36944196 | DOI:10.1515/reveh-2022-0248

Categories
Nevin Manimala Statistics

Attenuation of cancer proliferation by suppression of glypican-1 and its pleiotropic effects in neoplastic behavior

Oncotarget. 2023 Mar 21;14:219-235. doi: 10.18632/oncotarget.28388.

ABSTRACT

Glypicans (GPC1-6) are associated with tumorigenic processes and their involvement in neoplastic behavior has been discussed in different cancer types. Here, a cancer-wide GPC expression study, using clinical cancer patient data in The Cancer Genome Atlas, reveals net upregulation of GPC1 and GPC2 in primary solid tumors, whereas GPC3, GPC5 and GPC6 display lowered expression pattern compared to normal tissues. Focusing on GPC1, survival analyses of the clinical cancer patient data reveal statistically significant correlation between high expression of GPC1 and poor prognosis in 10 particular cancer types i.e., bladder urothelial carcinoma, brain lower grade glioma, liver hepatocellular carcinoma, colon adenocarcinoma, kidney renal clear cell carcinoma, lung adenocarcinoma, mesothelioma, ovarian serous cystadenocarcinoma, uterine corpus endometrial carcinoma and uveal melanoma. In vitro studies targeting GPC1 expression by CRISPR/Cas9 or siRNA or treatment with an anti-GPC1 antibody resulted in attenuation of proliferation of cancer cells from bladder carcinoma, glioma and hepatocellular carcinoma patients (T24, U87 and HepG2 cells). Further, overexpression of GPC1 exhibited a significant and negative correlation between GPC1 expression and proliferation of T24 cells. Attempt to reveal the mechanism through which downregulation of GPC1 leads to attenuation of tumor growth using systematic Ingenuity Pathway Analysis indicate that suppression of GPC1 results in ECM-mediated inhibition of specific pro-cancer signaling pathways involving TGF-β and p38 MAPK. Identified differential expression and pleiotropic effects of GPCs in specific cancer types emphasize their potential of as novel diagnostic tools and prognostic factors and open doors for future GPC targeted therapy.

PMID:36944188 | DOI:10.18632/oncotarget.28388

Categories
Nevin Manimala Statistics

Can Supine Breast Magnetic Resonance Imaging After a Dynamic Contrast-Enhanced Breast Magnetic Resonance Imaging Provide Information for Supine Procedures?

J Comput Assist Tomogr. 2023 Mar 16. doi: 10.1097/RCT.0000000000001461. Online ahead of print.

ABSTRACT

METHODS: A retrospective analysis was conducted on 75 lesions in 50 patients with pathologically proven breast cancer who underwent MRI in prone and supine positions between December 2019 and December 2020. The transverse, anteroposterior, and craniocaudal dimensions (in millimeters) of the tumor in the x-, y-, and z-axes were measured. Distances from the center of the tumor to the chest wall and the adjacent skin were measured on transverse and reformatted sagittal images. In cases where multifocal lesions were present, the transverse, anteroposterior, and craniocaudal distances between the tumor centers in the x-, y-, and z-axes were measured. Differences between measurements in supine and prone MRI were evaluated with the Mann-Whitney U and the Wilcoxon tests. P values of less than 0.05 were considered to indicate a statistically significant difference.

RESULTS: The analysis revealed 31 MRIs with 1 and 20 with multifocal lesions. The x-axis dimension of the lesions in prone and supine positions did not significantly differ (P = 0.198) between the 2 positions. A significant difference in the y- and z-axes dimensions was observed between the prone and supine position (P = 0.00 for both). The distance from the tumor to the chest wall and the adjacent skin showed significant difference (P = 0.00 for both). For multifocal lesions, the distance between the lesions showed a significant difference on the y-axis (P = 0.00).

CONCLUSIONS: This study showed a significant difference in the tumor size, location, and tumor-to-tumor distances due to change of patient position, from the standard prone MRI to the supine position in the operating room, resulting in distortion, spatial repositioning, and convergence of the lesions. Supine MRI may be considered in providing a less extensive surgery.

PMID:36944155 | DOI:10.1097/RCT.0000000000001461

Categories
Nevin Manimala Statistics

Concurrent Validity of Measures of Upper Extremity Function Derived from Videogame-Based Motion Capture for Children with Hemiplegia

Games Health J. 2023 Mar 21. doi: 10.1089/g4h.2022.0160. Online ahead of print.

ABSTRACT

Objective: Pediatric hemiplegia is associated with wide-ranging deficits in arm and hand motor function, neg-atively impacting participation in daily occupations and quality of life. This study investigated whether performance measures generated during therapy videogame play by children with hemiplegia can be valid indicators of upper extremity motor function. Materials and Methods: Ten children with hemiplegia used a custom therapy game system alternatively using their affected and non-affected hand to provide motion capture data that spans a wide range of motor function status. The children also completed a series of standardized outcome measure assessments with each hand, including the Quality of Upper Extremity Skills Test, the Jebsen Taylor Hand Function Test, and the Wolf Motor Function Test. Results: Statistical analysis using the nonparametric Spearman rank correlation revealed high and significant correlation between videogame-derived motion capture measures, characterizing the speed and smoothness of movements, and the standardized outcome measure assessments. Conclusion: The results suggest that a low-cost motion capture system can be used to monitor a child’s motor function status and progress during a therapy program.

PMID:36944143 | DOI:10.1089/g4h.2022.0160

Categories
Nevin Manimala Statistics

Effect of Exenatide on Nonalcoholic Steatohepatitis and Inflammation-Related Indices in Diabetic Patients with Non-Alcoholic Fatty Liver Disease

Metab Syndr Relat Disord. 2023 Mar 21. doi: 10.1089/met.2022.0088. Online ahead of print.

ABSTRACT

Purpose: Diabetes mellitus is a chronic disease often associated with nonalcoholic steatohepatitis (NASH) and obesity. Both obesity and NASH are closely related to inflammation. In this study, we examined how exenatide, a glucagon-like peptide 1 analog, affects inflammatory and NASH-related markers in patients with diabetes. Methods: This retrospective study was conducted on 100 patients who visited our hospital with a diagnosis of type 2 diabetes mellitus. NASH-related indices and inflammatory indices were calculated from data obtained at baseline and at the third month of exenatide treatment. All data were analyzed first in all patients, and then the patients were grouped according to glycosylated hemoglobin A1c (HbA1c) levels of <8% or ≥8% and body mass index (BMI) of <40 or ≥40 kg/m2 and their data were reanalyzed. Results: A highly significant improvement was found in the conventional lipid profile. Among NASH-related indices, the nonalcoholic fatty liver disease (NAFLD) fibrosis score and aspartate aminotransferase-platelet ratio index (APRI) showed statistically significant decreases (P < 0.001 and P = 0.016, respectively). In particular, these significant decreases were independent of BMI and glycemic parameters. No statistically significant change was found in inflammatory indices. The decreases in NAFLD fibrosis score and APRI were statistically more significant in the group with HbA1c ≥8% (P = 0.021 and P = 0.002, respectively) and the group with BMI ≥40 kg/m2 (P = 0.002 and P = 0.029, respectively). Conclusions: Besides its established effects, such as lowering fasting plasma glucose levels and weight loss, exenatide exerts positive effects on the conventional lipid profile and NASH-associated indexes.

PMID:36944132 | DOI:10.1089/met.2022.0088

Categories
Nevin Manimala Statistics

Healthy and Pathological Porcine Blood Drop Evaporation: Effect of the Temperature

Langmuir. 2023 Mar 21. doi: 10.1021/acs.langmuir.3c00061. Online ahead of print.

ABSTRACT

This study aims to understand and compare the evaporation dynamics of drops of healthy and pathological porcine blood (glomerulonephritis disease) evaporated on hydrophilic glass substrates at different surface temperatures (Ts): 23, 37, 60, and 90 °C. Subsequently, the different induced phenomena are characterized and described. Additionally, drops of water were evaporated at these four surface temperatures to better understand the difference between healthy and pathological porcine blood. Statistical studies were performed to analyze the evaporation rate, the maximum and average values of Marangoni numbers (Ma), and the evaporated specific time. The statistical tests showed significant differences in these parameters between healthy and pathological blood for each surface temperature. The mean and the maximum of the Ma increase with the increase in Ts caused by the increase in the temperature differences between the edge and the center of the drop. When comparing healthy and diseased blood, the Ma maximum and mean of healthy blood were higher than those of diseased blood for all Ts. Besides, this study emphasizes the influence of temperature on blood evaporation and the pattern caused by the Marangoni effect. These results demonstrate that differences between the two blood types are related to the disease and pave the way to developing a new methodology for medical decision-making.

PMID:36944107 | DOI:10.1021/acs.langmuir.3c00061

Categories
Nevin Manimala Statistics

Maternal and fetal origins of offspring blood pressure: statistical analysis using genetic correlation and genetic risk score-based Mendelian randomization

Int J Epidemiol. 2023 Mar 21:dyad034. doi: 10.1093/ije/dyad034. Online ahead of print.

ABSTRACT

BACKGROUND: Epidemiological studies demonstrated that adverse in utero environment was associated with increased risk of offspring high blood pressure, by using birthweight as the proxy of maternal intrauterine exposure; however, the nature of such association remains less understood.

METHODS: With maternal/fetal-specific summary statistics of birthweight (n = 297 356 for own birthweight and n = 210 248 for offspring birthweight) and summary statistics of blood pressure [i.e. systolic blood pressure (SBP), diastolic blood pressure (DBP) and pulse pressure (PP)] (n = 757 601), we evaluated the genetic correlation between fetal-specific birthweight and blood pressure using cross-trait linkage disequilibrium score regression, and next detected pleiotropic genes for them with a pleiotropy mapping method called mixture-adjusted intersect-union pleiotropy test. Furthermore, we conducted a genetic risk score (GRS)-based Mendelian randomization analysis in parent-offspring pairs (n = 6031) of the UK Biobank cohort, to assess the causal relation between maternal-specific GRS and blood pressure conditioning on fetal genotypes.

RESULTS: We found fetal-specific birthweight had a negative genetic correlation with DBP (ρ^g = -0.174, P = 1.68 × 10-10), SBP (ρ^g = -0.198, P = 8.09 × 10-12), and PP (ρ^g = -0.152, P = 6.04 × 10-8), and detected 143, 137 and 135 pleiotropic genes shared between fetal-specific birthweight and PP, SBP and DBP, respectively. These genes often exhibited opposite genetic effects, and were more likely to be differentially expressed in pancreas, liver, heart, brain, whole blood and muscle skeletal tissues. A causal negative association of maternal-specific birthweight was identified with SBP (P = 2.20 × 10-2) and PP (P = 7.67 × 10-3) but not DBP (P = 0.396) in mother-offspring pairs, after accounting for the influence of fetal-specific GRS; and the two significant relations were robust against the horizontal pleiotropy of instruments and the confounding influence of gestational duration and preterm birth. However, these causal associations could not be detected in father-offspring pairs.

CONCLUSIONS: This study revealed common genetic components underlying birthweight and blood pressure, and provided important insight into aetiology and early prevention of high blood pressure.

PMID:36944101 | DOI:10.1093/ije/dyad034

Categories
Nevin Manimala Statistics

A Characterization of Deep Learning Reconstruction Applied to Dual-Energy Computed Tomography Monochromatic and Material Basis Images

J Comput Assist Tomogr. 2023 Mar 22. doi: 10.1097/RCT.0000000000001442. Online ahead of print.

ABSTRACT

OBJECTIVE: Advancements in computed tomography (CT) reconstruction have enabled image quality improvements and dose reductions. Previous advancements have included iterative and model-based reconstruction. The latest image reconstruction advancement uses deep learning, which has been evaluated for polychromatic imaging only. This article characterizes a commercially available deep learning imaging reconstruction applied to dual-energy CT.

METHODS: Monochromatic, iodine basis, and water basis images were reconstructed with filtered back projection (FBP), iterative (ASiR-V), and deep learning (DLIR) methods in a phantom experiment. Slice thickness, contrast-to-noise ratio, modulation transfer function, and noise power spectrum metrics were used to characterize ASiR-V and DLIR relative to FBP over a range of dose levels, phantom sizes, and iodine concentrations.

RESULTS: Slice thicknesses for ASiR-V and DLIR demonstrated no statistically significant difference relative to FBP for all measurement conditions. Contrast-to-noise ratio performance for DLIR-high and ASiR-V 40% at 2 mg I/mL on 40-keV images were 162% and 30% higher than FBP, respectively. Task-based modulation transfer function measurements demonstrated no clinically significant change between FBP and ASiR-V and DLIR on monochromatic or iodine basis images.

CONCLUSIONS: Deep learning image reconstruction enabled better image quality at lower monochromatic energies and on iodine basis images where image contrast is maximized relative to polychromatic or high-energy monochromatic images. Deep learning image reconstruction did not demonstrate thicker slices, decreased spatial resolution, or poor noise texture (ie, “plastic”) relative to FBP.

PMID:36944100 | DOI:10.1097/RCT.0000000000001442