Analysis Software Package Research Articles

The impact of living in an un- or under-furnished house on individuals who transitioned from homelessness.

Very few empirical evaluations have been conducted on the impact of furniture on the lives of those who have transitioned from homelessness into permanent housing, especially within the United States. Our study contributes to this limited body of research by exploring the impact of furniture on the lives of 20 recently housed individuals residing in the Detroit Metropolitan Area. In partnership with the Furniture Bank of Southeast Michigan, we conducted semi‐structured interviews with recently housed individuals that lived for a period of time in an un‐ or under‐furnished house before receiving furniture support. Given the study's exploratory nature, interview questions were purposefully broad to allow themes to naturally emerge and were analyzed using a qualitative data analysis software package, NVivo (release 1.0). We present a conceptual model that outlines our findings and conclude with a discussion of the limitations of our approach, avenues for future research, and policy implications.

Identifying and building on the current state of bioacoustics software

Bioacoustics is a powerful and increasingly commonly used tool for terrestrial and marine biological assessments. As the scale of bioacoustic data collection has increased, techniques for processing these data have diversified. However, with analysis methods rapidly evolving and dozens of analysis software packages already available, it is challenging to identify which software, if any, meets a particular researcher’s needs. We reviewed bioacoustics software to identify packages aimed at or used by bioacoustics researchers in ecology. We compiled descriptions of the function of 65 stable or actively developed software packages used for bioacoustics analyses. Of these, 59 were free or open-source packages. In addition, we developed free, open-source Python software, OpenSoundscape, that addresses gaps in available software. OpenSoundscape simplifies the process of creating flexible, scalable deep learning algorithms for bioacoustic analysis. It can be used to train binary or multiclass convolutional neural networks with any PyTorch-implemented model structure (e.g., ResNet50, Inception v3). Researchers can easily customize its spectrogram preprocessing and data augmentation routines to improve model performance. OpenSoundscape also includes modules to work with annotated acoustic data, apply additional signal processing algorithms, perform acoustic localization, and “open the black box” of deep learning using Grad-CAM.

Raw Data Visualization for Common Factorial Designs Using SPSS: A Syntax Collection and Tutorial.

Transparency in data visualization is an essential ingredient for scientific communication. The traditional approach of visualizing continuous quantitative data solely in the form of summary statistics (i.e., measures of central tendency and dispersion) has repeatedly been criticized for not revealing the underlying raw data distribution. Remarkably, however, systematic and easy-to-use solutions for raw data visualization using the most commonly reported statistical software package for data analysis, IBM SPSS Statistics, are missing. Here, a comprehensive collection of more than 100 SPSS syntax files and an SPSS dataset template is presented and made freely available that allow the creation of transparent graphs for one-sample designs, for one- and two-factorial between-subject designs, for selected one- and two-factorial within-subject designs as well as for selected two-factorial mixed designs and, with some creativity, even beyond (e.g., three-factorial mixed-designs). Depending on graph type (e.g., pure dot plot, box plot, and line plot), raw data can be displayed along with standard measures of central tendency (arithmetic mean and median) and dispersion (95% CI and SD). The free-to-use syntax can also be modified to match with individual needs. A variety of example applications of syntax are illustrated in a tutorial-like fashion along with fictitious datasets accompanying this contribution. The syntax collection is hoped to provide researchers, students, teachers, and others working with SPSS a valuable tool to move towards more transparency in data visualization.

GO-SHIP Easy Ocean: Gridded ship-based hydrographic section of temperature, salinity, and dissolved oxygen

Despite technological advances over the last several decades, ship-based hydrography remains the only method for obtaining high-quality, high spatial and vertical resolution measurements of physical, chemical, and biological parameters over the full water column essential for physical, chemical, and biological oceanography and climate science. The Global Ocean Ship-based Hydrographic Investigations Program (GO-SHIP) coordinates a network of globally sustained hydrographic sections. These data provide a unique data set that spans four decades, comprised of more than 40 cross-ocean transects. The section data are, however, difficult to use owing to inhomogeneous format. The purpose of this new temperature, salinity, and dissolved oxygen data product is to combine, reformat and grid these data measured by Conductivity-Temperature-Depth-Oxygen (CTDO) profilers in order to facilitate their use by a wider audience. The product is machine readable and readily accessible by many existing visualisation and analysis software packages. The data processing can be repeated with modifications to suit various applications such as analysis of deep ocean, validation of numerical simulation, and calibration of autonomous platforms.

Optimisation of the load-bearing structure of the control surface frame. Additive technology

Optimisation of the load-bearing structure of the control surface frame for application of the additive technology is proposed, with unchanged performance and strength characteristics of the body section, the weight of which is reduced by 20 %. The problems related to modelling of external stress and kinematic boundary conditions are considered for a structural analysis of units included in composite bodies. Optimisation is based on a stepby-step approximation (iteration) method and a finite element analysis software package, including comparison with the experiment.

The Prosodic Aspects of Politeness in Instructional Interactions of Elementary School Teachers in Surabaya


 
 
 This study aimed to describe the prosodic aspects of politeness in the instructional interactions of elementary school teachers in Surabaya. These prosodic aspects describe the sound intensity, duration, speed and tone. The data were collected using observations at four elementary schools in Surabaya. Data analysis was performed by using Praat acoustic analysis devices and a computer software package for the scientific analysis of speech in phonetics. Based on the results, it can be concluded that the intensity, the speed of sound, and the tone of the prosodic aspects of politeness in the declarative mode of speech had lower averages than the prosodic aspects of politeness in the interrogative and imperative modes of speech. This may be because the declarative mode does not contain the illocutionary directive, while the interrogative and imperative modes do, which affects their use in response to threatening acts.
 Keywords: prosody characteristics, politeness, teacher instructional interactions
 
 

Interactive Analysis, Exploration, and Visualization of RNA-Seq Data with SeqCVIBE.

The rise of modern gene expression profiling techniques, such as RNA-Seq, has generated a wealth of high-quality datasets spanning all fields of current biological research. The large data sets and the continually expanding applications for which they can be mined, such as the investigation of alternative splicing and others, have created novel challenges for data management, exploration, analysis, and visualization. Although a large variety of RNA-Seq data analysis software packages has emerged, both open-source and commercial, most fail to simultaneously address the above challenges, while they lack obvious functionalities, such as estimating RNA abundance over non-annotated genomic regions of interest in real time. We have developed SeqCVIBE, an R Shiny web application for the interactive exploration, analysis, visualization, and genome browsing of large RNA-Seq datasets. SeqCVIBE allows for multiple on-the-fly visualizations and calculations, such as differential expression analysis, averaging genomic signals over specific regions of the genome, and calculating RNA abundances over custom, potentially non-annotated regions, such as novel long non-coding RNAs. In addition, SeqCVIBE comprises a database for pre-analyzed data, where users can navigate and explore results, as well as perform a variety of basic on-the-fly analyses and export the outcomes. Finally, we demonstrate the value of SeqCVIBE in the elucidation of the interplay of a novel lincRNA, WiNTRLINC1, and Wnt signaling in colon cancer.

#overtourism on Twitter: a social movement for change or an echo chamber?

ABSTRACT When the linguistic innovation and phrase overtourism was used in an online news report to describe excessive tourism in Iceland in 2016, legacy and social media soon following with in-depth articles and visual representations of perceived excessive tourism in other locations around the world. Given the growing calls for action on overtourism, this study takes a social network analysis (SNA) approach, using a network analysis and visualization software package called NodeXL Pro, to better understand the 10,325 tweets which used the hashtag ‘overtourism’ between July 2013 and September 2020. By exploring central users, conversation starters, gatekeepers and influencers, the analysis indicates that an ad hoc network was built around #overtourism on twitter. The analysis indicates that this network is held together by a small number of experts, who play a key role in presenting, distributing and circulating information about this controversial topic. While the studies practical contribution is the use of NodeXL Pro for advanced social media network analysis, the findings also indicate that the ability of these experts to influence perceptions of overtourism inside and outside twitter will depend on whether it can engage broader publics as the tourism sector recovers from a global pandemic.

Modeling Approaches for the Assessment of Seismic Vulnerability of Masonry Structures: The E-PUSH Program

The assessment of seismic performance of existing masonry structures is a key aspect for the risk mitigation strategies of existing buildings and preservation of historical heritage. The increasing availability of modelling approaches for the assessment of seismic response of masonry structures calls for the need of verifying their reliability and correct use. In fact, these procedures are very sensitive to modelling hypotheses, so that the results of the assessment could vary in a wide interval depending on the adopted software and on the user’s skill. Aiming at enhancing the classical software packages for the structural analysis of masonry buildings, especially in terms of easiness of use, simplicity of modelling and limited computational demand, the authors developed a reliable and sound push-over program, called E-PUSH, which allows a quick and nearly user-independent assessment of the seismic risk index. In the paper, available commercial codes for the seismic assessment of unreinforced masonry buildings are illustrated and discussed, in comparison with the E-PUSH program, highlighting the differences in terms of modelling assumptions, choice of masonry mechanical parameters and failure criteria, focusing on the impact of the assumptions adopted for the estimation of capacity curves and seismic risk index of a simple benchmark structure. Then, a relevant case study, consisting in the assessment of the “Niccolò Machiavelli” masonry school in Florence, is investigated adopting two different software packages, the original E-PUSH and a commercial one, discussing the sensitivity of the results on the assumptions made by the user in the modelling phase.

Vaccination Attitudes and Experiences of Medical Doctors in Croatia amid the COVID-19 Pandemic: A Social Roles Conflict?

The study aimed to investigate the range of experiences and attitudes of Croatian medical doctors (MDs) related to vaccination and vaccine hesitancy. In January 2021 three asynchronous online focus groups were held using MRQual, a web-based platform, which included 46 MDs from all three levels of the healthcare system in Croatia. NVivo, a qualitative data analysis software package, was used for the thematic analysis of collected data. The participants expressed a high level of support for the Croatian immunization program and vaccines in general. However, some skepticism was expressed regarding new vaccines and the regulatory processes of their approval. A significant number of participants raised concerns over the approval of COVID-19 vaccines, especially given their rapid development. The results also revealed that the process of communication with patients is often based on the very elaborate categorizations of patients based on previous experience, which leads to prioritizing and a communication breakup when dealing with “problematic patients”. MDs find themselves in a delicate situation where a fine balance between time-consuming communication with patients and the demands for maintaining satisfying vaccination uptake is needed. The situation arises from a social roles conflict that is embedded in wider social values and expectations, since communication problems do not arise in the doctor’s office, and therefore cannot be solved without addressing the social forces that cause trust deficiencies. To achieve better immunization results public health leaders need to better understand the social contexts and constraints of MDs vaccine-related behaviors.

Effect of malaria and HIV/AIDS co-infection on red blood cell indices and its relation with the CD4 level of patients on HAART in Bench Sheko Zone, Southwest Ethiopia.

Malaria and HIV/AIDS are the two most common infections in sub Saharan Africa (SSA) and worldwide. HIV infected individuals in malaria endemic areas experience severe malaria episodes. The immunological basis of this clinical observation is unclear and the hematologic abnormalities such as anemia in malaria and HIV co infected patients were inconsistent from studies in the past. Ethiopia's three-fourth of the landmass is malarious and HIV prevalence is high that significantly affect RBC indices and other hematologic profiles. This study aimed to compare RBC indices and anemia in HIV patients' co-infected with malaria and those HIV patients without malaria and correlates these with CD4 level. A comparative cross-sectional study was employed on 103 malaria-HIV/AIDS co infected (MHC) and 103 HIV patients without malaria on HAART of the same ART centers in Bench Sheko Zone. Data was collected by structured questionnaire and blood samples were collected from both groups for malaria test and RBC indices measurement. Data was entered and checked in Epi-data and exported to IBM SPSS version 21 software packages for analysis. There were significant differences in Mean±SD of RBC indices between the two groups (P<0.001). RBC, Hgb, HCT and MCV were lower in MHC patients. In total study participants, significant positive correlation was observed between CD4 count with MCV, CD4 count with MCH and CD4 count with anemia. In the group of malaria-HIV co-infected, CD4 count with RBC and CD4 count with Hgb and in HIV without malaria CD4 count with MCV, CD4 count with MCH and CD4 count with MCHC were positively correlated. Overall anemia prevalence was 45.1%. Anemia prevalence in MHC (Malaria-HIV co-infected) was 63.4%. Anemia prevalence distribution among sex showed that 61.3% in female sex and anemia prevalence distribution among CD4 group showed 55.9% in patients with CD4 count of ≤500 cells/μl. Anemia in MHC patients was higher in those with CD4 count of ≤500 cells/μl (59.3%) while in OH (Only HIV infected) anemia prevalence was similar in those with CD4 count of ≤500 and ≥500 cells/μl (50%). There is significant difference in anemia in MHC and OH infected with different CD4 group (P<0.01). There was a difference in RBC indices in both groups; RBC, Hgb, HCT and MCV were lower in MHC patients. There was positive correlation between CD4 counts with some RBC indices in combined both groups. However, there was positive correlation between CD4 counts with RBC and Hgb in malaria-HIV co-infected. The combined prevalence of anemia was higher and anemia in MHC was greater than OH infected patients.

Parallel-Meta Suite: Interactive and rapid microbiome data analysis on multiple platforms.

Massive microbiome sequencing data has been generated, which elucidates associations between microbes and their environmental phenotypes such as host health or ecosystem status. Outstanding bioinformatic tools are the basis to decipher the biological information hidden under microbiome data. However, most approaches placed difficulties on the accessibility to nonprofessional users. On the other side, the computing throughput has become a significant bottleneck of many analytical pipelines in processing large-scale datasets. In this study, we introduce Parallel-Meta Suite (PMS), an interactive software package for fast and comprehensive microbiome data analysis, visualization, and interpretation. It covers a wide array of functions for data preprocessing, statistics, visualization by state-of-the-art algorithms in a user-friendly graphical interface, which is accessible to diverse users. To meet the rapidly increasing computational demands, the entire procedure of PMS has been optimized by a parallel computing scheme, enabling the rapid processing of thousands of samples. PMS is compatible with multiple platforms, and an installer has been integrated for full-automatic installation.

Assessment of Existing Agroforestry Practices in East Hararghe Zone Oromia, Ethiopia

An agroforestry practice produces different benefits, which enhance household incomes and diversification of products. This study was aimed to identifying existing agroforestry practices and to identify perception behind of agroforestry practice and to identify the opportunities and major constraints related to agroforestry practices in Fedis, Kersa and Jarso Districts of the lowland, midland and highlands agro ecologies, of East Hararghe Zone, oromia, Ethiopia. The study was based on a household survey conducted on 154 farm household heads; focus group discussions, key informant interviews and direct field observations were applied. The data were analyzed using analytical (SPSS 20.0) software packages to calculate descriptive statistics. Chi-squared tests were used to compare the agroforestry practices and agro ecologies. The result indicates that six AFPs exist in the study area namely; scattered trees on croplands (58%), hedge row intercropping (33%), home garden (22%), multipurpose trees on farmland (19%), live fence /boundary planting (18%), and wind breaks (4%) were dominant. Significant respondent number (51.96%) of practices is involved in agri-silvicultural system, most of the farmer’s (45.12%) have positive attitude towards Agroforestry practices in the study area. Most of the respondents agreed on agro-forestry practices increased the construction input, soil fertility, food, and fodder. On the other hand, sacristy of land, moisture stress, diseases and pests, inadequate seedlings availability, and inadequate extension services are the major constraints . Results of the socio-economic characteristics respondents showed that gender, age, family size, and land holding positively and significantly influence the decision of the determined practice of household’s and were significantly affected the choice of agroforestry practice by the households. Based on the survey, it is concluded that scattered trees on farmland, hedge row intercropping, and home garden AFP dominant practices across agro ecologies and were the most appropriate agro-forestry practices. This agro-forestry practices increased the construction input, soil fertility, food, and fodder in the area of land sacristy, moisture stress, diseases and pests. Therefore, further the tree integration efforts of farmers should be guided by scientific principles, the interaction tree species with annual crops and economic analysis of the individual agroforestry practices, domestication of nitrogen fixing trees, fruit tree species, and promoting sustainable agroforestry should be carried out. Keywords: Agroforestry practices, indigenous knowledge, scattered trees on crop land, multipurpose tree, small holder farmers, and cash crops DOI: 10.7176/DCS/12-3-03 Publication date: March 31 st 2022

Экспериментальное исследование и численное моделирование метания алюминиевого образца для магнитно-импульсной сварки

The induction acceleration method is quite widely used in impact experiments with conductive disks. The paper presents an experimental study and numerical simulation concerning magnetic pulse acceleration of thin flat discs made of D16AM aluminium alloy. We used a flat copper coil and a capacitor power source to investigate magnetic pulse welding possibilities. The high-energy pulse method is efficient, safe, capable of precisely setting pulse discharge power by varying the capacitor (energy storage) capacitance and voltage, while heating the work piece with induced current can lead to an increase in its plasticity. We used the LS-DYNA finite element analysis software package to run our numerical simulation. The results obtained show that there is a significant disadvantage to using this acceleration setup: it is difficult to ensure that the sample accelerated remains planar.

An XMM-Newton EPIC X-Ray View of the Symbiotic Star R Aquarii

Abstract We present the analysis of archival XMM-Newton European Photon Imaging Camera (EPIC) X-ray observations of the symbiotic star R Aquarii. We used the Extended Source Analysis Software package to disclose diffuse soft X-ray emission extending up to 2.′2 (≈0.27 pc) from this binary system. The depth of these XMM-Newton EPIC observations reveals in unprecedented detail the spatial distribution of this diffuse emission, with a bipolar morphology spatially correlated with the optical nebula. The extended X-ray emission shares the same dominant soft X-ray-emitting temperature as the clumps in the jet-like feature resolved by Chandra in the vicinity of the binary system. The harder component in the jet might suggest that the gas cools down; however, the possible presence of nonthermal emission produced by the presence of a magnetic field collimating the mass ejection cannot be discarded. We propose that the ongoing precessing jet creates bipolar cavities filled with X-ray-emitting hot gas that feeds the more extended X-ray bubble as they get disrupted. These EPIC observations demonstrate that the jet feedback mechanism produced by an accreting disk around an evolved, low-mass star can blow hot bubbles, similar to those produced by jets arising from the nuclei of active galaxies.

LIM Tracker: a software package for cell tracking and analysis with advanced interactivity

Cell tracking is one of the most critical tools for time-lapse image analysis to observe cell behavior and cell lineages over a long period of time. However, the accompanying graphical user interfaces are often difficult to use and do not incorporate seamless manual correction, data analysis tools, or simple training set design tools if it is machine learning based. In this paper, we introduce our cell tracking software “LIM Tracker”. This software has a conventional tracking function consisting of recognition processing and link processing, a sequential search-type tracking function based on pattern matching, and a manual tracking function. LIM Tracker enables the seamless use of these functions. In addition, the system incorporates a highly interactive and interlocking data visualization method, which displays analysis result in real time, making it possible to flexibly correct the data and reduce the burden of tracking work. Moreover, recognition functions with deep learning (DL) are also available, which can be used for a wide range of targets including stain-free images. LIM Tracker allows researchers to track living objects with good usability and high versatility for various targets. We present a tracking case study based on fluorescence microscopy images (NRK-52E/EKAREV-NLS cells or MCF-10A/H2B-iRFP-P2A-mScarlet-I-hGem-P2A-PIP-NLS-mNeonGreen cells) and phase contrast microscopy images (Glioblastoma-astrocytoma U373 cells). LIM Tracker is implemented as a plugin for ImageJ/Fiji. The software can be downloaded from https://github.com/LIMT34/LIM-Tracker.

Measuring axial length of the eye from magnetic resonance brain imaging

BackgroundMetrics derived from the human eye are increasingly used as biomarkers and endpoints in studies of cardiovascular, cerebrovascular and neurological disease. In this context, it is important to account for potential confounding that can arise from differences in ocular dimensions between individuals, for example, differences in globe size.MethodsWe measured axial length, a geometric parameter describing eye size from T2-weighted brain MRI scans using three different image analysis software packages (Mango, ITK and Carestream) and compared results to biometry measurements from a specialized ophthalmic instrument (IOLMaster 500) as the reference standard.ResultsNinety-three healthy research participants of mean age 51.0 ± SD 5.4 years were analyzed. The level of agreement between the MRI-derived measurements and the reference standard was described by mean differences as follows, Mango − 0.8 mm; ITK − 0.5 mm; and Carestream − 0.1 mm (upper/lower 95% limits of agreement across the three tools ranged from 0.9 mm to − 2.6 mm). Inter-rater reproducibility was between − 0.03 mm and 0.45 mm (ICC 0.65 to 0.93). Intra-rater repeatability was between 0.0 mm and − 0.2 mm (ICC 0.90 to 0.95).ConclusionsWe demonstrate that axial measurements of the eye derived from brain MRI are within 3.5% of the reference standard globe length of 24.1 mm. However, the limits of agreement could be considered clinically significant. Axial length of the eye obtained from MRI is not a replacement for the precision of biometry, but in the absence of biometry it could provide sufficient accuracy to act as a proxy. We recommend measuring eye axial length from MRI in studies that do not have biometry but use retinal imaging to study neurodegenerative changes so as to control for differing eye size across individuals.

Qiber3D-an open-source software package for the quantitative analysis of networks from 3D image stacks.

BackgroundOptical slice microscopy is commonly used to observe cellular morphology in 3D tissue culture, e.g., the formation of cell-derived networks. The morphometric quantification of these networks is essential to study the cellular phenotype. Commonly, the quantitative measurements are performed on 2D projections of the image stack, resulting in the loss of information in the third dimension. Currently available 3D image analysis tools rely on manual interactions with the software and are therefore not feasible for large datasets.FindingsHere we present Qiber3D, an open-source image processing toolkit. The software package includes the essential image analysis procedures required for image processing, from the raw image to the quantified data. Optional pre-processing steps can be switched on/off depending on the input data to allow for analyzing networks from a variety of sources. Two reconstruction algorithms are offered to meet the requirements for a wide range of network types. Furthermore, Qiber3D’s rendering capabilities enable the user to inspect each step of the image analysis process interactively to ensure the creation of an optimal workflow for each application.ConclusionsQiber3D is implemented as a Python package, and its source code is freely available at https://github.com/theia-dev/Qiber3D. The toolkit was designed using a building block principle to enable the analysis of a variety of structures, such as vascular networks, neuronal structures, or scaffolds from numerous input formats. While Qiber3D can be used interactively in the Python console, it is aimed at unsupervised automation to process large image datasets efficiently.

Fully automated quantification of LV regional wall motion from echocardiograms to detect myocardial infarction

Abstract Funding Acknowledgements Type of funding sources: Private company. Main funding source(s): Ultromics Ltd Background Myocardial wall motion analysis from echocardiography allows precise assessment of cardiac contractile function. Strain, which assesses myocardial deformation, has been shown to enable earlier detection of myocardial disease [1]. Current analysis software packages [2] use semi-automated methods to compute strain, which frequently require manual endocardial delineation and iterative contour adjustment based on tracking results, respectively, causing significant variability. Purpose We present a fully automated pipeline for tracking left ventricular (LV) wall motion to quantify global and segmental longitudinal strain from 2D echocardiograms, and go on to validate the pipeline with an openly available myocardial infarction (MI) dataset. Methods We applied our existing deep learning-based automated contouring method [3] to delineate the endocardial border in the A4C, A2C and A3C views and combined this with spline-based elastic image registration to track LV motion through time. We sampled points from a region of interest initiated from the endocardial border at the end-diastolic (ED) frame, and tracked subsequent motion by recomputing updated positions of all sample points based on each frame‘s displacement field, enabling us to both track the myocardium throughout the cardiac cycle and calculate longitudinal strain relative to the ED frame. The automated endocardial contour was used to regularise the process. The pipeline was independently tested on the HMC-QU dataset [4] which was downloaded from Kaggle and consists of a single cardiac cycle from the A4C view from 160 patients who were diagnosed with an acute MI and underwent echocardiography either prior to percutaneous coronary intervention or within 24 hours of undergoing the procedure; the dataset includes the labels of ED and end-systolic (ES) frames, as well as the presence of an MI in 6 segments excluding the apical cap (Fig 1a), as determined by the consensus of cardiologists from HMC Hospital in Qatar. The Wilcoxon signed-rank test was used to compare peak strain between the MI and non-MI segments; ROC curves were computed to compare the performance of the automatically derived peak longitudinal strain against the MI labels. Results Fig 1b shows ROC curves of peak segmental longitudinal strain for detecting MI, with the best performance in the mid-anterolateral segment (AUC 0.84), and a lower performance for basal segments than mid and apical segments, consistent with known variation in clinical practice [5]. Fig 2 shows that peak longitudinal strain computed from our pipeline was statistically significantly more positive in segments with an MI. Conclusions We present a fully automated pipeline for calculating segmental strain across a cardiac cycle to identify infarcted segments without any observer variability. Clinical application of this method has the potential to identify and monitor regional myocardial function and benefit patient management. Abstract Figure. Fig1. ROC of peak longitudinal strains Abstract Figure. Fig2.Boxplot of peak longitudinal strain

Impact of Emphysema Subtypes and Volume on Lung Ventilation and Gas Exchange Functions as Evidenced by Computed Tomography

Objective: to characterize the relationship between the subtype and volume of pulmonary emphysema on the indicators of lung ventilation and gas exchange functions. Material and methods. The data of radiation and functional studies were analyzed in 50 patients. The inclusion criteria were chronic obstructive pulmonary disease and emphysema, which had been diagnosed by computed tomography (CT) and confirmed by two radiologists; comprehensive pulmonary function studies, including spirometry and body plethysmography, were performed; diffusion capacity was measured using a single-breath method, involving inhalation of carbon monoxide, and a breath hold. Patients with primary pulmonary emphysema, any history of pulmonary surgery, and emphysema concurrent with other lung X-ray syndromes (consolidation, cavity) were excluded. CT was performed with a 1-mm thick slice and standard scanning parameters on Toshiba tomographs (Japan). Pulmonary function was tested using a MasterScreen Body Diffusion expert diagnostic unit (VIASYS Healthcare, Germany) in accordance with the criteria for correct pulmonary functional tests proposed by a joint group of experts from the American Thoracic Society and the European Respiratory Society. Volumetric analysis of emphysema was performed using the Lung Volume Analysis software package (Toshiba, Japan). In the study, there was a predominance of male patients (n = 42 (84%)), mainly in the 61-70 age group. Results. The isolated type of emphysema was rare: centrilobular and paraseptal emphysemas were seen in 3 (6%) and 2 (4%) patients, respectively. The mixed type of emphysema was detected in 90% of cases; 33 (66%) patients having a predominant centrilobular component constituted a large proportion. It was determined that as the volume of emphysema increased, the patency of the airways worsened, the static pulmonary volumes increased, the lungs were hyperinflated, pulmonary gas exchange worsened, the bronchial resistance slightly increased during calm breathing. No statistically significant results were found from the point of view of correlations between the volume of emphysema and other parameters of pulmonary function. Conclusion. An increase in the volume of emphysema deteriorates pulmonary function; the greatest contribution to the overall picture is made by the patients with a mixed type of emphysema with a predominance of the centrilobular component.