True Size Research Articles

A Comparison of Direct & Indirect Survey Methods for Estimating Colonial Nesting Waterbird Populations

Population estimates derived from monitoring efforts can be sensitive to the survey method selected, potentially leading to biased estimates and low precision relative to true population size. While small unmanned aerial systems (UAS) present a unique opportunity to survey avian populations while limiting disturbance, relatively little is known about how this method compares with more traditional approaches. In this study we compared population estimates of Snowy (Egretta thula) and Cattle Egrets (Bubulcus ibis) in a mixed-species colony in the Chesapeake Bay (Maryland, USA) derived from UAS photo counts, flush counts, flight-line surveys, and in-colony nest counts along with the time required to derive an estimate via each approach. We found that UAS counts and flush counts produced lower pair estimates than nest counts and flight-line surveys (P < 0.05), and required dramatically less time (x̄ = 6, 8, 84 and 90 min, respectively). These results suggest that while UAS have the potential to collect valuable survey data from breeding colonies that are hard to reach or are especially sensitive to the disturbance inherent in other methods, inherent biases should be considered and caution should be used when comparing results between survey types.

HIV and Associated Indicators of COVID-19 Cytokine Release Syndrome: A Meta-Analysis and Meta-Regression.

The aim of this review was to evaluate the risk of COVID-19 cytokine release syndrome (CRS) with HIV infection and meta-regress for indicator covariates. Electronic databases, including Google Scholar, Cochrane Library, Web of Sciences (WOS), EMBASE, Medline/PubMed, COVID-19 Research Database, and Scopus, were systematically searched tillFebruary 30, 2022. All human studies were included, irrespective of publication date or region. Eleven studies, with a total of 2,005,274 detailing cytokine release syndrome defined by specific parameters, were included. To pool the estimate, a random-effects model with risk ratio (RR) as the effect measure was used. Moreover, publication bias and sensitivity analysis were evaluated followed by meta-regression analysis to account for any possible covariates. This systematic review, meta-analysis, and meta-regression trial was registered (CRD42021264761) on the PROSPERO register. HIV infection showed an increased risk for COVID-19 cytokine release syndrome(RR= 1.48, 95% CI (1.16, 1.88) (P=0.002)) with substantial heterogeneity (I2 > 80%) and a 4.6% cumulative incidence. The true effects size in 95% of all the comparable populations (prediction interval) fell between 0.67 to 3.29. HIV infection further showed an increased risk for intensive care unit (ICU) admission ((P<0.0001) (I² = 0%)] and mechanical ventilation (MV) ((P=0.04) (I² = 0%)) as the key indicators ofcytokine release syndrome. Meta-regression analysis demonstrated that COVID-19 cytokine release syndrome was influenced by the year a study was published (R² = 0.55) and the region from where the study was conducted (R² = 0.11). On meta-regression analysis, the combined impact of all covariates in the model explained at least some of the variance in effect size (Q = 16.21, df = 6, P= 0.0127), and the proportion of variance explained by covariates on comparing the model with and without the covariates was 73 % and highly significant (Tau² = 0.1100, Tau = 0.3317, I² = 86.5%, Q = .99, df = 10, P<0.0001) (R² = 0.73). Our updated meta-analysis indicated that HIV infection was significantly associated with an increased risk for COVID-19cytokine release syndrome, which, in addition, might be moderated by the year a study was published and the region in which the study was conducted. Further, the risk for intensive care unit (ICU) admission and mechanical ventilation (MV) were identified asthe key indicators of cytokine release syndrome. We believe the updated data anchoring cytokine release syndrome will contribute to more substantiation of the findings reported by similar earlier studies.

Unsupported Copper Nanoparticles in the Arylation of Amines

Commercially available copper and copper (II) oxide nanoparticles (CuNPs and CuO NPs) were characterized using TEM and electronography methods to elucidate their true average size and composition. The catalytic amine arylation using unsupported copper nanoparticles differing in their size and copper oxidation state was investigated. The reaction of the model iodobenzene with n-octylamine was shown to be successfully catalyzed by CuNPs of average size 25 and 10/80 nm in the presence of the ligands such as 2-isobutyrylcyclohexanone (L1) and rac-1,1′-bi-2-naphthol (BINOL, L2), giving high yields (up to 95%) of the target N-octylaniline. CuO in bulk and nano forms was shown to be almost equally efficient in this process. Studies on the Cu-catalyzed amination of substituted iodobenzenes and 2-iodopyridine, as well as the arylation of different aliphatic amines and NH-heterocycles, verified that CuNPs (25 or 10/80 nm) with L1 and L2 are the most versatile and efficient nanocatalysts for a variety of substrates. Investigation of copper leaching under different conditions was carried out.

Accurate Confidence and Bayesian Interval Estimation for Non-centrality Parameters and Effect Size Indices

Reporting effect size index estimates with their confidence intervals (CIs) can be an excellent way to simultaneously communicate the strength and precision of the observed evidence. We recently proposed a robust effect size index (RESI) that is advantageous over common indices because it’s widely applicable to different types of data. Here, we use statistical theory and simulations to develop and evaluate RESI estimators and confidence/credible intervals that rely on different covariance estimators. Our results show (1) counter to intuition, the randomness of covariates reduces coverage for Chi-squared and F CIs; (2) when the variance of the estimators is estimated, the non-central Chi-squared and F CIs using the parametric and robust RESI estimators fail to cover the true effect size at the nominal level. Using the robust estimator along with the proposed nonparametric bootstrap or Bayesian (credible) intervals provides valid inference for the RESI, even when model assumptions may be violated. This work forms a unified effect size reporting procedure, such that effect sizes with confidence/credible intervals can be easily reported in an analysis of variance (ANOVA) table format.

Size and Fit Recommendations for Cold Start Customers in Fashion E-Commerce

Fashion e-commerce is expected to grow rapidly over the next few years. One of the main hurdles in fashion e-commerce is to recommend the right size to customers which helps customers in having a better online shopping experience. Hence Size and fit recommendation is an important problem which helps improve the confidence of a customer for making a purchase on an e-commerce platform. This also reduces the returns in fashion e-commerce. In this work we propose a novel bayesian probabilistic approach for non-personalised product size recommendation for customers. We use maximum likelihood estimation for estimating the parameters of our model. We use customer purchase and returns history to infer the true product size. Given a product we provide size recommendations to a customer, i.e. we suggest a customer to buy a size small, large or same size. In experiments with flipkart shoes datasets our model leads to an improvement of 3-4% AUC over the existing baseline. In Online AB testing for flipkart shoes categories our approach shows a performance improvement of returns by 12- 24 bps.

The Use of Digital Images in 24-Hour Recalls May Lead to Less Misestimation of Portion Size Compared with Traditional Interviewer-Administered Recalls

Background: The Automated Self-Administered 24-hour (ASA24) dietary recall system enhances the feasibility of collecting high-quality intake data in population-based studies.Objective: The aim of this study was to assess the accuracy of portion size reporting in the ASA24 compared with interviewer-administered recalls.Methods: True intake for 3 meals was ascertained in 81 adults aged 20–70 y from the Washington, DC area. Participants were randomly assigned to complete an unannounced ASA24 or an interviewer-administered Automated Multiple-Pass Method (AMPM) recall the following day. An adapted Bland-Altman approach was used to assess agreement between true and reported portion sizes. Linear regression was used to assess log-scale differences between true and reported portion sizes by recall mode. The proportions of reported portion sizes within 10% and 25% of truth were estimated. Analyses were conducted for all foods and drinks and predetermined categories.Results: Mean differences between true and reported portion sizes were 3.7 g for the ASA24 and 11.8 g for the AMPM. According to the Bland-Altman-type plots, between 92% and 100% (depending on food or drink category and recall mode) of observations fell within the limits of agreement. After adjustment for multiple testing, the mean ratio of reported to true portion sizes was significantly >1 for the categories of all foods and drinks, all foods excluding liquids, amorphous or soft foods, and small pieces among AMPM respondents. Misestimation in the AMPM was significantly different from that in the ASA24 for all foods and drinks and for all foods excluding liquids. Small proportions of reported portions fell within 10% (16.2% for the ASA24 and 14.9% for the AMPM) and 25% (37.5% for the ASA24 and 33.2% for the AMPM) of truth.Conclusions: The results raise the possibility that digital images tailored to different types and formats of foods may facilitate improved estimation of amounts eaten but highlight the need for continued work in this aspect of dietary assessment. This trial was registered at clinicaltrials.gov as NCT00978406.

Heterogeneity in cardiovascular death or hospitalization for heart failure benefits with flozins is linked to weight.

Cardiovascular outcome trials with sodium-glucose cotransporter 2 inhibitors (SGLT-2is) have documented a positive impact on micro- and macrovascular complications of type 2 diabetes (T2D). Most analyses suggest that these benefits are independent of achieving metabolic control. This meta-regression analysis was undertaken to explore the relationship between metabolic components positively influenced by SGLT-2is and a reduction in cardiovascular death (CV death) or hospitalization due to heart failure (hHF). A database search was conducted using the Cochrane Library to identify relevant studies. Analysis was conducted using CMA and RStudio (2022.07.1) software. The hazard ratios of the individual studies were used to compute the random effects model mean effect size for CV death or hHF, and the prediction interval was used to identify the uncertainty in the summary treatment effect. Heterogeneity was quantified using Q statistics. A pooled population of 46969 patients from five studies was included for analysis. The Cochrane risk of bias tool was used to assess the quality of the studies. There was a significant 23% reduction in CV deaths or hHFs in the SGLT-2i arm compared with the placebo arm [hazard ratio (HR): 0.77, 95% confidence interval (CI) 0.70-0.85]. However, the prediction interval (0.57-1.05) and the Q statistics [8.06>degrees of freedom (df) of 4] were indicative of uncertainty in the true effect or heterogeneity. Nearly 50% of the variance of the observed effects were related to the true effects (I2 =50%). Among the moderators selected, a significant correlation of the outcomes was found with the weight variable (P<0.01). Weight differential could explain the entire variance in true effect size (R2 =1.00) ruling out any sampling error. The results of this meta-regression analysis suggest that the beneficial effects of SGLT-2is in reducing CV deaths and hHFs are related to the weight variable.

Pathogen exposure misclassification can bias association signals in GWAS of infectious diseases when using population-based common control subjects

Genome-wide association studies (GWASs) have been performed to identify host genetic factors for a range of phenotypes, including for infectious diseases. The use of population-based common control subjects from biobanks and extensive consortia is a valuable resource to increase sample sizes in the identification of associated loci with minimal additional expense. Non-differential misclassification of the outcome has been reported when the control subjects are not well characterized, which often attenuates the true effect size. However, for infectious diseases the comparison of affected subjects to population-based common control subjects regardless of pathogen exposure can also result in selection bias. Through simulated comparisons of pathogen-exposed cases and population-based common control subjects, we demonstrate that not accounting for pathogen exposure can result in biased effect estimates and spurious genome-wide significant signals. Further, the observed association can be distorted depending upon strength of the association between a locus and pathogen exposure and the prevalence of pathogen exposure. We also used a real data example from the hepatitis C virus (HCV) genetic consortium comparing HCV spontaneous clearance to persistent infection with both well-characterized control subjects and population-based common control subjects from the UK Biobank. We find biased effect estimates for known HCV clearance-associated loci and potentially spurious HCV clearance associations. These findings suggest that the choice of control subjects is especially important for infectious diseases or outcomes that are conditional upon environmental exposures.

The impact of mechanical devices for lifting and transferring of patients on low back pain and musculoskeletal injuries in health care personnel-A systematic review and meta-analysis.

Heavy lifting in nursing is highly associated with low back pain (LBP) and musculoskeletal injuries (MSI). We aimed to evaluate the impact of mechanical devices used for patient lifting and transferring on risk of LBP and MSI of health care personnel. We conducted a systematic review and meta-analysis. The literature search was performed during 1st and 12th September 2021 using 17 electronic databases and handsearching of bibliographies of included studies. Twenty studies were included in the qualitative synthesis and eight studies with in total 2087 participants in the meta-analysis. Dependent on the study design, risk of bias was assessed by Cochrane RoB 2.0, EPOC, and MINORS. We conducted random-effects meta-analyses assessing Hedges's g and 95% CI of MSI rate, perceived LBP, and peak compressive spinal load. We calculated prediction intervals and conducted a cost-benefit analysis (CBA). All outcomes showed significant, adjusted pooled effect sizes (MSI rate: g = 1.11, 95% CI 0.914-1.299; perceived LBP: g = 1.54, 95% CI -0.016-3.088; peak compressive spinal load: g = 1.04, 95% CI -0.315 to 2.391). True effect sizes in 95% of all comparable populations fell in the following prediction intervals: MSI rate = -1.07-3.28, perceived LBP = -0.522-3.594, and peak compressive spinal load = -15.49 to 17.57. CBA revealed cost-benefit ratios of 1.2 and 3.29 between cumulative total savings and investment costs of intervention. Prediction intervals confirmed strong true effect sizes for MSI rate and perceived LBP in 95% of all comparable populations but not for peak compressive spinal load. Mechanical lifting and transferring devices displayed a favorable cost-benefit ratio and should be considered for clinical implementation.

A META-ANALYSIS OF THE RELATIONSHIP BETWEEN RELIGIOSITY AND SAVING BEHAVIOUR

The purpose of this study was to synthesize the findings of previous studies on the relationship between religiosity and saving behaviour by using a meta-analysis approach. It also sought to determine the strength of the relationship, besides its direction. Eleven studies which met the five criteria and four techniques used in the study were used as samples for the meta-analytic analysis. The size of the effect in each study was then determined by Pearson’s product-moment correlations (r). To estimate the average distribution of relationship true effects, the Fisher r-to-z transformation and random-effects methods were used. The empirical evidence showed that there was a positive correlation between religiosity and saving behaviour. However, according to Guilford’s convention, the true effect size (r = 0.303) would mean that religiosity had a weak correlation with saving behaviour. It is recommended that authorities and financial institutions use the findings of this study to develop plans focused on advocating and facilitating saving behaviour among religious people.

A Guide for Calculating Study-Level Statistical Power for Meta-Analyses

Meta-analysis is a popular approach in the psychological sciences for synthesizing data across studies. However, the credibility of meta-analysis outcomes depends on the evidential value of studies included in the body of evidence used for data synthesis. One important consideration for determining a study’s evidential value is the statistical power of the study’s design/statistical test combination for detecting hypothetical effect sizes of interest. Studies with a design/test combination that cannot reliably detect a wide range of effect sizes are more susceptible to questionable research practices and exaggerated effect sizes. Therefore, determining the statistical power for design/test combinations for studies included in meta-analyses can help researchers make decisions regarding confidence in the body of evidence. Because the one true population effect size is unknown when hypothesis testing, an alternative approach is to determine statistical power for a range of hypothetical effect sizes. This tutorial introduces the metameta R package and web app, which facilitates the straightforward calculation and visualization of study-level statistical power in meta-analyses for a range of hypothetical effect sizes. Readers will be shown how to reanalyze data using information typically presented in meta-analysis forest plots or tables and how to integrate the metameta package when reporting novel meta-analyses. A step-by-step companion screencast video tutorial is also provided to assist readers using the R package.

Detection of Surface Displacement of Mentawai Earthquake Mw7.8, October 25, 2010, using High Rate (HR) 1Hz GNSS Data

Conventional seismic sensors, may have some problems, for example, seismometers are vulnerable to clipping and going off-scale when recording in the near-field of large earthquakes, that caused magnitude saturation. High-rate GNSS measurement can avoid the problems in conventional seismic records, in determining true size of large earthquake. The Mw7.8 Mentawai earthquake on October 25, 2010, generate significant tsunami run-up reached 9.3 m, five hundred more casualties, and raise economic loss of 200 bilions rupiahs. We utilize 1 Hz high-rate GNSS data from 11 GNSS stations of the Sumatran GPS Array (SuGAr) network operated by Earth Observatory of Singapore (EOS) associated with the October 25, 2010, Mw7.8 Mentawai earthquake. We generate displacement waveform in three components (east, north, up) and it can be seen that all GNSS stations can detect surface displacement caused by October 25, 2010, Mw7.8 Mentawai earthquake. We also display the displacement waveform based on the distance from the GNSS station to the earthquake hypocenter, and found that displacement amplitude decreases as the distance between the earthquake hypocenter and the location of the GNSS station increases.

ТЕОРЕТИЧНІ АСПЕКТИ ОЦІНКИ В СИСТЕМІ БУХГАЛТЕРСЬКОГО ОБЛІКУ

Enterprises often request the services of valuation expertise and value consulting, and in some cases, conduct it themselves. The purpose of the article is to determine the theoretical aspects of assessment in the accounting system. The task was to determine what the reality of the assessment in accounting is. To determine the value of the actual cost, costing is used a method of calculating the cost, a means of binding the object according to one or another price of a certain assessment. It was concluded that it is very difficult to objectively assess profitability, which leads to a variety of financial assessments, including tax, investment and credit assessments. It has been established that tax assessment is related to the fact that each type of tax or fee usually requires special methods of property assessment for taxation purposes. It was concluded that investment estimates can be used in predictive studies when calculating the efficiency of future capital investments. It is emphasized that credit evaluations are designed to measure the value of collateral for loans. So, valuation as an accounting method, is a way of monetary expression of the objects of this accounting (property, liabilities, business transactions) by means of summarizing costs in order to reflect them in accounting. The reality of the assessment consists in the calculation and display of the true size of certain types of funds, including the sources of their formation (the monetary expression of the accounting objects must correspond to their actual value).

Eocene giant ants, Arctic intercontinental dispersal, and hyperthermals revisited: discovery of fossil Titanomyrma (Hymenoptera: Formicidae: Formiciinae) in the cool uplands of British Columbia, Canada

Abstract We examine the implications for intercontinental dispersal of the extinct ant genus, Titanomyrma Archibald et al. (Hymenoptera: Formicidae: Formiciinae), following the discovery of its first fossil in Eocene temperate upland Canada. Modern Holarctic distributions of plants and animals were in part formed by dispersals across Late Cretaceous through early Eocene Arctic land bridges. Mild winters in a microthermal Arctic would allow taxa today restricted to the tropics by cold intolerance to cross, with episodic hyperthermal events allowing tropical taxa requiring hot climates to cross. Modern ants with the largest queens inhabit low latitudes of high temperature and mild coldest months, whereas those with smaller queens inhabit a wide variety of latitudes and climates. Gigantic and smaller formiciine ants (Titanomyrma and Formicium Westwood) are known from Europe and North America in the Eocene. The new Canadian Titanomyrma inhabited a cooler upland. It is incomplete, indistinctly preserved, and distorted in fossilisation, and so we do not assign it to a species or erect a new one for it. The true size of this fossil is unclear by this distortion: small size would support gigantism in Titanomyrma requiring hot climates and dispersal during hyperthermals; if it was large, it may have been cold-winter intolerant and able to have crossed during any time when the land bridge was present.

Poor reporting quality of observational studies in children with non-syndromic cleft palate makes evidence synthesis difficult

Objective To assess the reporting quality of observational studies included in a systematic review of the management of chronic otitis media with effusion in children with non-syndromic cleft lip and palate using the Strengthening the Reporting of Observational Studies in Epidemiology (STROBE) checklist. Methods Medline, CINAHL, Scopus and Embase, were searched for studies comparing the use of ventilation tubes to surveillance. Two reviewers screened potential eligible articles, extracted data independently and assessed reporting quality using the STROBE checklist. Results The median compliance rate with individual STROBE items was low at 25% (range:0-100%) with 11 of the 22 items not reported in any of the studies. Items reported inconsistently pertained to potential sources of bias, sample size calculations, how loss to follow-up was addressed and management of missing data. Conclusion The development of this systematic review highlights the inadequate reporting standards in this field. Differences in the way the outcomes are defined, reported, and measured leads to variability in the observed intervention effects and difficulty in interpreting the true effect size. Future researchers are encouraged to use STROBE guidelines for the design and reporting of observational studies in this field.

Energy tunnels as an opportunity for sustainable development of urban areas

The use of renewable energies will be increasingly necessary to reduce carbon dioxide emissions. An important contribution can be provided by energy tunnels, which make it possible to draw on a form of clean, renewable and locally accessible thermal energy for heating and air conditioning of buildings. The paper describes the characteristics of an energy tunnel and the design aspects necessary for its conception. Explicit reference will be made to the studies conducted at the Politecnico di Torino which led to the development of an innovative energy segment then used to create an experimental prototype in the true size of an energy tunnel. The data collected allowed to evaluate the performance of the system and to study the possibility of thermally activating the tunnels of the future Line 2 of the Turin Metro, allocating the heat partly to the air conditioning of the stations and partly to external users. With a view to sustainable urban development, the possibility of integration with district heating systems and the possible creation of local heat distribution networks at different temperatures, directly connected to the underground infrastructure, is particularly attractive and promising.

Estimating the size of the monkeypox virus outbreak in Nigeria and implications for global control.

A multi-country outbreak caused by monkeypox virus (MPXV) has been unfolding across endemic and non-endemic countries since May 2022. Throughout April and May 2022, Nigeria reported 31 MPXV cases, of which 11 were confirmed via testing. In May 2022, three internationally exported cases of MPXV, presumed to have originated in Nigeria, were reported, suggesting that a larger than reported outbreak might be occurring in the country. We used previously established methods to estimate the true size of the MPXV outbreak in Nigeria. We estimated the incidence rate of exported MPXV cases among all outbound international air travellers from Nigeria during the time period of April and May 2022, using forecasted air traveller volumes. We then applied this incidence rate to the entire population of Nigeria during April and May 2022 assuming that the rate of infection was the same in Nigeria for both travellers and the resident population. Information on the subset of population that were considered to be travellers was obtained from the United Nations World Tourism Organization (UNWTO). We estimated that there were approximately 4000 (N = 4013; 95% CI: 828-11 728) active cases of MPXV in Nigeria in April and May 2022. This is approximately 360-fold greater than the confirmed number and approximately 130-fold greater than the reported number of cases in Nigeria. Our findings suggest that a larger outbreak than is appreciated may be ongoing in Nigeria. The observed international spread of MPXV offers important insights into the scale of the epidemic at its origin, where clinical detection and disease surveillance may be limited. These findings highlight the need to expand and support clinical, laboratory, and public health capacity to enable earlier detection of epidemics of international significance.

Dependence-Robust Confidence Intervals for Capture-Recapture Surveys.

Capture-recapture (CRC) surveys are used to estimate the size of a population whose members cannot be enumerated directly. CRC surveys have been used to estimate the number of Coronavirus Disease 2019 (COVID-19) infections, people who use drugs, sex workers, conflict casualties, and trafficking victims. When k-capture samples are obtained, counts of unit captures in subsets of samples are represented naturally by a contingency table in which one element-the number of individuals appearing in none of the samples-remains unobserved. In the absence of additional assumptions, the population size is not identifiable (i.e., point identified). Stringent assumptions about the dependence between samples are often used to achieve point identification. However, real-world CRC surveys often use convenience samples in which the assumed dependence cannot be guaranteed, and population size estimates under these assumptions may lack empirical credibility. In this work, we apply the theory of partial identification to show that weak assumptions or qualitative knowledge about the nature of dependence between samples can be used to characterize a nontrivial confidence set for the true population size. We construct confidence sets under bounds on pairwise capture probabilities using two methods: test inversion bootstrap confidence intervals and profile likelihood confidence intervals. Simulation results demonstrate well-calibrated confidence sets for each method. In an extensive real-world study, we apply the new methodology to the problem of using heterogeneous survey data to estimate the number of people who inject drugs in Brussels, Belgium.

Valorization of Kraft Pulp and Paper Mill Slaker Grits and Biomass Fly Ash as Fillers in a Commercial Screed Mortar Formulation.

Slaker grits (SG) and biomass fly ash (BFA), two waste streams generated in the pulp and paper industry, are commonly disposed of in landfills, a practice with a high economic and environmental burden. In this work, their individual valorization as fillers in a commercial screed mortar formulation was evaluated in order to achieve a more sustainable management practice. The waste streams were characterized in terms of true density, particle size and morphology, and chemical and mineralogical composition. The influence of their incorporation amount (5.0, 7.5, and 10.0 wt.% of the total solids) and pre-treatment (sieving and grinding) on the fresh (workability) and hardened state (density, water absorption by capillarity, and flexural and compressive strength) properties of the mortars were assessed. The results show that the addition of 10.0 wt.% of the SG after milling and sieving (<75 µm) and 7.5 wt.% of BFA in the as-received condition, or up to 10.0 wt.% after grinding and sieving (<63 µm), allowed for the production of mortar samples with properties within the recommended specifications and that were resistant to 25 consecutive freeze-thaw cycles. This waste valorization route could represent an economic benefit of up to 8.85 €/tmortar and 2.87 €/tmortar for mortar, and pulp and paper companies, respectively.

Case-Control Study of 3D Morphology in Isolated Mesenteric Artery Dissection.

Isolated mesenteric artery dissection (IMAD) is uncommon and has not been investigated in detail. This study aimed to accurately identify the morphological differences of IMAD patients with control individuals using a detailed 3D volumetric analysis. In this retrospective case-control study, cases were patients with acute symptomatic IMAD treated in a French intestinal stroke center between January 2016 and November 2019. Case-control matching was (1:3) by age, gender, and body mass index (BMI). The semi-automatic morphological analysis of the mesenteric artery included volumetric measurements of the true and false lumen size, the centerline curvature and the 3D aortomesenteric angles. Seventeen IMAD cases (mean age 56 ± 4years, 94% men) were matched with 51 controls. The mean overall lumen (OL) volume was higher in IMAD patients as compared to controls (+ 64%, p < 0.001). In the same way, the mean OL cross-sectional area and diameters were higher in IMAD patients: + 77% for OL area (< 0.001) and + 34% for OL diameters (< 0.001). Meanwhile, no significant difference was found in terms of true lumen (TL) volume (p = 0.16) or cross-sectional area (p = 0.30) between IMAD patients and controls, whereas the mean TL diameter was lower in the IMAD group (p < 0.05). Patients with acute mesenteric ischemia had a lower [TL/OL volume] ratio (45% vs. 59%, p < 0.05) and longer dissections (63mm vs. 48mm, p < 0.01). The 3D aortomesenteric angle was significantly higher in IMAD patients at both 2cm (p < 0.01) and 4cm (p < 0.05) from the ostium. Using an original 3D semi-automated analysis, this study shows that IMAD induces significant morphological changes compared to control individuals: a larger aortomesenteric 3D angle, an increased overall volume and area. IMAD patients with acute mesenteric ischemia presented with a more severe morphological profile.