Measurement Of Parameters Research Articles

Sex differences in clinical characteristics and long-term clinical outcomes in Asian hospitalized heart failure patients.

Sex differences in long-term post-discharge clinical outcomes in Asian patients hospitalized for acute decompensated heart failure (HF) persist despite the world-wide implementation of guideline-directed medical therapy for decades. The present study aims to elucidate the puzzling dilemma and to depict the directions of solution. Between 2011 and 2020, a total of 12428 patients (6518 men and 5910 women, mean age 73.50±14.85) hospitalized for acute decompensated HF were retrospectively enrolled from a university HF cohort. Compared with men, women hospitalized for acute decompensated HF were older in age (76.40±13.43 vs. 71.20±15.67years old, P<0.0001) with more coexisting hypertension, diabetes, hyperlipidaemia and moderate to severe chronic kidney disease, but less with ischaemic heart disease, cerebrovascular disease and chronic obstructive pulmonary disease (P<0.0001). In echocardiography measurement parameters, women had smaller left ventricular and left atrial dimensions, higher left ventricular mass index, higher left ventricular ejection fraction (LVEF) and more in HF with preserved ejection fraction (EF) category (LVEF>50%) than men (P<0.0001). In HF therapy, women compared with men received more guideline-directed medical HF therapies including angiotensin-converting enzyme inhibitors, angiotensin receptor blockers, angiotensin receptor-neprilysin inhibitors and sodium-glucose cotransporter-2 inhibitors, but similar beta-blockers and mineralocorticoid receptor antagonists (P<0.0001). Post-discharge long-term clinical outcomes after multivariate-adjusted analysis revealed that women compared with men had lower all-cause mortality [adjusted hazard ratio (aHR): 0.89, 95% confidence interval (CI): 0.84-0.93], lower cardiovascular mortality (aHR: 0.89, 95% CI: 0.80-0.99) and lower 1year mortality (aHR: 0.91, 95% CI: 0.84-0.99) but similar HF rehospitalization rate (aHR: 1.02, 95% CI: 0.95-1.09) over 8years of follow-up. The superiority of women over men in all-cause mortality was shown in HF with preserved EF (>50%) and HF with mildly reduced EF (40%-50%), but not in HF with reduced EF (<40%) category. Subgroup forest plot analysis showed body mass index, coexisting hypertension and chronic obstructive pulmonary disease as significant interacting factors. With more coronary risk factors and medical comorbidities, less cardiac remodelling and better adherence to guideline-directed HF therapy, women hospitalized for acute decompensated HF demonstrated superiority over men in long-term post-discharge clinical outcomes, including all-cause mortality, cardiovascular mortality and 1year mortality, and mainly in HF with preserved and mid-range EF categories, in the Asian HF cohort.

Embroidered textile-based electrochemical sensors towards urinary nitrite measurement

Wearable biochemical sensors enable the real-time measurement of health parameters in non-invasive manner. In this work, we have developed polyaniline (PANI)/COOH-functionalized multiwalled carbon nanotubes (MWCNTs)/sodium copper chlorophyllin (CuCP) coated conductive thread as a novel wearable platform for monitoring nitrite (NO2–) levels. The linear calibration plots for NO2– were obtained over the concentration range of 0.05 µM–10 mM with detection limit of 0.35 nM. The sensor platform was also tested for measuring NO2– levels in artificial urine samples.

Considerations on measurement of bidirectional transmittance distribution function of thick samples over a wide range of viewing zenith angles

Abstract We delve into theoretical and experimental considerations for determining the spectral bidirectional transmittance distribution function (BTDF) of thick samples across a broad viewing zenith angle range. Nominally, BTDF is defined as the ratio of transmitted radiance to incident irradiance measured from the same plane. However, when employing thick samples for BTDF measurements, the viewing plane of the transmitted beam may shift from the front to the rear surface of the sample, altering the measurement geometry compared to using the sample front surface as the reference plane. Consequently, the viewing zenith angle from the sample rear surface increases relative to the sample front surface, and the sample-to-detector-aperture distance decreases by an amount corresponding to the sample thickness. We introduce a method for determining the BTDF of thick samples, considering the transformation of practical measurement results to a scenario where the measurements are conducted at a very large distance from the sample. To validate the method, we utilize a BTDF facility equipped with two instruments that significantly differ in their sample-to-detector-aperture distances. We evaluate the impact of a 2 mm sample thickness on the BTDF by assessing the ratio of transmitted and incident radiant fluxes as a function of viewing zenith angle relative to the sample rear surface. The evaluation is conducted in the wavelength range from 550 nm to 1450 nm in 300 nm steps, and in the viewing zenith angle range from −70° to 70° in 5° steps. Measurements are performed in-plane at an incident zenith angle of 0°. It is concluded that consistent determination of BTDF of a thick sample is possible by converting the experimental parameters of the real measurements at relatively short distances from the sample to correspond to those that would be obtained from measurements at very large distances from the sample.

Antioxidant, Antimicrobial, and Anti-Inflammatory Effects of Liriodendron chinense Leaves.

Liriodendron chinense has been widely utilized in traditional Chinese medicine to treat dispelling wind and dampness and used for alleviating cough and diminishing inflammation. However, the antioxidant, antimicrobial, and anti-inflammatory effects of L. chinense leaves and the key active constituents remained elusive. So, we conducted some experiments to support the application of L. chinense in traditional Chinese medicine by investigating the antioxidant, antibacterial, and anti-inflammatory abilities, and to identify the potential key constituents responsible for the activities. The ethanol extract of L. chinense leaves (LCLE) was isolated and extracted, and assays measuring ferric reducing antioxidant power, total reducing power, DPPH•, ABTS•+, and •OH were used to assess its in vitro antioxidant capacities. Antimicrobial activities of LCLE were investigated by minimal inhibitory levels, minimum antibacterial concentrations, disc diffusion test, and scanning electron microscope examination. Further, in vivo experiments including macro indicators examination, histopathological examination, and biochemical parameters measurement were conducted to investigate the effects of LCLE on lipopolysaccharide (LPS)-induced acute lung injury (ALI) in mice. LCLE was further isolated and purified through column chromatography, and LPS-induced RAW264.7 cells were constructed to assess the diminished inflammation potential of the identified chemical composites. ABTS•+ and •OH radicals were extensively neutralized by the LCLE treatment. LCLE administration also presented broad-spectrum antimicrobial properties, especially against Staphylococcus epidermidis by disrupting cell walls. LPS-induced ALI in mice was significantly ameliorated by LCLE intervention, as evidenced by the histological changes in the lung and liver tissues as well as the reductions of nitric oxide (NO), TNF-α, and IL-6 production. Furthermore, three novel compounds including fragransin B2, liriodendritol, and rhamnocitrin were isolated, purified, and identified from LCLE. These three compounds exhibited differential regulation on NO accumulation and IL-10, IL-1β, IL-6, TNF-α, COX-2, and iNOS mRNA expression in RAW264.7 cells induced by LPS. Fragransin B2 was more effective in inhibiting TNF-α mRNA expression, while rhamnocitrin was more powerful in inhibiting IL-6 mRNA expression. LCLE had significant antioxidant, antimicrobial, and anti-inflammatory effects. Fragransin B2, liriodendritol, and rhamnocitrin were probably key active constituents of LCLE, which might act synergistically to treat inflammatory-related disorders. This study provided a valuable view of the healing potential of L. chinense leaves in curing inflammatory diseases.

Measurement of outer diameter parameters of manual grinding cable joints based on 3D point cloud processing

For the problems associated with low measurement accuracy caused by surface shrinkage, uneven grinding, and irregular shapes in manual grinding cable joints, as well as the limitations of existing machine vision measurement techniques for the outer diameter parameters, this paper proposes a non-contact outer diameter parameters measurement method of manual grinding cable joints based on three-dimensional (3D) point cloud processing. Firstly, statistical filtering is used to remove discrete noise, and coordinate transformation preprocessing is conducted to ordered the point cloud. Secondly, a bidirectional point cloud slicing method is proposed based on the cable joint structure and point cloud distribution to preserve the original features for effective measurement. Subsequently, the normalized mean curvature is utilized as the weight of point cloud coordinate averaging to construct key points for surface slices, which reduces the amount of data in the sliced point cloud and improves the matching efficiency. Finally, the key points are matched according to the position of the surface slices, and the distance of point pairs is calculated to complete the measurement of the outer diameter parameters. Experiments and error analysis are conducted on multiple manual grinding 110 kV and 500 kV real cable joints. The absolute error in the measurement of the outer diameter is less than 0.2 mm, with a relative error within 1 %. The absolute error of the XY-axis outer diameter deviation is less than 0.1 mm. The experiments demonstrate that the proposed method exhibits superior performance in cable joint outer diameter measurement.

Investigation of the Alzofon weight reduction experiment using NMR spectroscopy

The origin of gravity is a fundamental question in physics that has yet to be conclusively answered. Frederick Alzofon came up with an alternative idea about the origin of the gravitational field, in which the gravitational force arises from the interaction of subatomic particles and that the gravitational force between the particles of a system decreases during a process of retrogression from an ordered system to a disordered system. To prove his hypothesis, Alzofon used pulsed dynamic nuclear polarization to create such an order of particles within a test object and claims to have measured distinct changes in weight. This work describes an experiment to investigate Alzofon’s assumptions using NMR spectroscopy for nuclear spin polarization. It was shown that with certain measurement parameters, an apparent change in weight was indeed measured, but was ultimately found to be a temperature effect.

Bridging the Covid-19 data and the epidemiological model using the time-varying parameter SIRD model

This paper extends the canonical model of epidemiology, the SIRD model, to allow for time-varying parameters for real-time measurement and prediction of the trajectory of the Covid-19 pandemic. Time variation in model parameters is captured using the score-driven modeling structure designed for the typical daily count data related to the pandemic. The resulting specification permits a flexible yet parsimonious model with a low computational cost. The model is extended to allow for unreported cases using a mixed-frequency setting. Results suggest that these cases’ effects on the parameter estimates might be sizeable. Full sample results show that the flexible framework accurately captures the successive waves of the pandemic. A real-time exercise indicates that the proposed structure delivers timely and precise information on the pandemic’s current stance. This superior performance, in turn, transforms into accurate predictions of the death cases and cases treated in Intensive Care Units (ICUs).

Optimizing Mouse Urodynamic Techniques for Improved Accuracy.

Accurate measurement of urinary parameters in awake mice is crucial for understanding lower urinary tract (LUT) dysfunction, particularly in conditions like neurogenic bladder post-traumatic spinal cord injury (SCI). However, conducting cystometry recordings in mice presents notable challenges. When mice are in a prone and restricted position during recording sessions, urine tends to be absorbed by the fur and skin, leading to an underestimation of voided volume (VV). The goal of this study was to enhance the accuracy of cystometry and external urethral sphincter electromyography (EUS-EMG) recordings in awake mice. We developed a unique method utilizing cyanoacrylate adhesive to create a waterproof skin barrier around the urethral meatus and abdomen, preventing urine absorption and ensuring precise measurements. Results show that after applying the cyanoacrylate, the sum of VV and RV remained consistent with the infused saline volume, and there were no wet areas observed post-experiment, indicating successful prevention of urine absorption. Additionally, the method simultaneously stabilized the electrodes connected with the external urethral sphincter (EUS), ensured stable electromyography (EMG) signals, and minimized artifacts caused by the movement of the awakened mouse and manipulation of the experimenter. Methodological details, results, and implications are discussed, highlighting the importance of improving urodynamic techniques in preclinical research.

Dipping Tidal Notch (DTN): Exposed vs. Sheltered Morphometry

Tidal notches, long regarded as reliable indicators of mean sea level, have been extensively studied along carbonate coasts in the central Mediterranean Sea. Previous studies revealed a correlation between the genesis of tidal notches and tidal range, lithology, cliff foot depth, and wave energy. In the 2020 Geoswim campaigns at Lampedusa, the southernmost island of the Pelagie archipelago (Italy), and in Gozo Island (Malta), ‘anomalous’ tidal notches were identified. Unlike normal notches observed elsewhere, those in Lampedusa’s southern bays exhibited a particular behaviour—constantly deepening in the inner part of the bays, reaching a maximum depth of approximately 30 cm below sea level and narrowing inwards. Similar phenomena were previously observed near Marseille (France). As confirmed by the literature, all these areas are tectonically stable. Time-lapse images, alongside measurements of morphometric parameters, were collected during the survey. Our hypothesis indicates that a combination of marine factors influenced by local marine conditions driven by the local morphology of the small bays exposed to southern quadrants contribute to the formation of these unique landforms. The latter manifests higher lowering erosion rates slightly below the mean sea level in sheltered areas, challenging conventional notions about tidal notch formation.

Spectral CT for preoperative diagnosis of N2 station lymph node metastasis in solid T1 non-small cell lung cancer

PurposeTo evaluate the diagnostic value of spectral CT for the preoperative diagnosis of N2 station lymph nodes metastasis in solid T1 non-small cell lung cancer (NSCLC). MethodFor this retrospective study, dual-phase contrast agent-enhanced CT was performed in patients with NSCLC from September 2019 to June 2023. Quantitative spectral CT parameters measurements were performed by 2 radiologists independently. Logistic regression analysis and Delong test were performed. Results60 NSCLC patients (mean age, 62.85 years ± 8.49, 44men) were evaluated. A total of 121 lymph nodes (38 with metastasis) were enrolled. There was no significant difference in the slope of the spectral Hounsfield unit curve (λHu) on arterial phase (AP) or venous phase (VP) between primary lesions and metastatic lymph nodes (P > 0.05), but significant difference in VP λHu between primary lesions and non-metastatic lymph nodes (P < 0.001). The CT40KeV, λHu, normalized iodine concentration (nIC), normalized effective atomic number (nZeff) measured during both AP and VP were lower in metastatic lymph nodes than in non-metastatic lymph nodes (all P < 0.05). Short-axis diameter (S) of metastatic lymph nodes was higher than non-metastatic lymph nodes (P < 0.001). Area under the curve (AUC) for S performed the highest (0.788) in diagnosing metastatic lymph nodes. When combined with VP λHu, VP nZeff, AUC increased to 0.871. ConclusionSpectral CT is a complementary means for the preoperative diagnosis of N2 station lymph nodes metastasis in solid T1 NSCLC. The combined parameters have higher diagnostic efficiency.

Preoperative Quantitative Flow Ratio, Intraoperative Transit Time Flow Measurement Parameters, and Their Predictive Value for Short-Term Graft Failure After Coronary Artery Bypass Grafting.

Studies on the relationship between the preoperative quantitative flow ratio (QFR) and parameters of intraoperative transit time flow measurement (TTFM) are extremely rare. In addition, the predictive value of QFR and TTFM parameters for early internal mammary artery (IMA) failure after coronary artery bypass grafting still needs to be validated.Methods and Results: We retrospectively collected data from 510 patients who underwent in situ IMA grafting to the left anterior descending (LAD) artery at Fuwai Hospital. Spearman correlation coefficients between preoperative QFR of the LAD artery and intraoperative TTFM parameters of the IMA were -0.13 (P=0.004) for mean graft flow (Qm) and 0.14 (P=0.002) for the pulsatility index (PI). QFR and TTFM exhibited similar and good predictive value for early IMA failure (5.7% at 1 year), and they were better than percentage diameter stenosis (area under the curve 0.749 for QFR, 0.733 for Qm, 0.688 for PI, and 0.524 for percentage diameter stenosis). The optimal cut-off value of QFR was 0.765. Both univariate and multivariable regression analyses revealed that QFR >0.765, Qm ≤15 mL/min, and PI >3.0 independently contributed to early IMA failure. There were statistically significant correlations between preoperative QFR of the LAD artery and intraoperative TTFM parameters (Qm, PI) of the IMA. Preoperative QFR and intraoperative Qm and PI exhibited excellent predictive value for early IMA failure.

Towards Expanding the Use of Paper Made from Recycled and Non-Woody Plants: Enhancing the Print Quality through the Application of Nano-Modified Offset Inks

This study aims to investigate the feasibility of using paper made from eco-friendly recycled and non-woody plants in graphic technology, particularly in offset printing. Instead of changing the composition or modifying the surface properties of the paper, the focus was on enhancing the print quality by modifying the printing ink. By modifying the printing inks, the quality of the prints on recycled and non-woody paper can be optimized, which in turn reduces the need for paper made from primary fibers. This approach can expand the use of alternative materials in graphic technology and design. The objective was to optimize the print quality on these sustainable materials. Five types of uncoated paper were used, with high-quality uncoated offset paper based on virgin fibers serving as a reference. Laboratory tests of the basic and surface properties were carried out to measure the paper quality parameters that are important for offset printing. The influence of the paper composition on its optical and colorimetric properties was also investigated. The interaction between the selected papers and offset inks was examined through measurements of adhesion parameters and ink transfer, i.e., the paper’s ability to accept the ink. To enhance the applicability of the investigated papers as printing substrates in the graphic industry, SiO2 and TiO2 nanoparticles were added to the offset inks. The influence of the paper composition on the colorimetric properties of the prints was also investigated. The print uniformity, as an important quality characteristic, was determined by measuring the mottling index. The research findings indicate that incorporating SiO2 and TiO2 nanoparticles into offset inks can enhance the interaction between the paper and ink, leading to improved print quality. This study provides new perspectives on the possibilities of using recycled and non-woody plant paper in offset printing without significantly compromising the quality of the print.

Analysis of the relationship between L-band SAR backscatter and understory weed density in eucalyptus plantation forests

ABSTRACT This study aims to reveal the relationships between understory coverage (principally, weed growth) beneath the canopies of Sumatran eucalyptus plantations and L-band backscatter data gathered by the PALSAR-2 Synthetic Aperture Radar (SAR) onboard the ALOS-2 satellite. Statistical analysis in conjunction with in situ measurements of forest structural parameters reveals that the SAR polarization ratio is significantly negatively correlated with understory coverage in forests taller than or equal to 10 m or above 2 years of age. Our field investigations confirm that a decrease in canopy coverage takes place some 2 years after transplanting, which in turn permits increased penetration (decreased attenuation) of microwave signals thereby enabling the SAR to detect changes in understory coverage. In addition, both growth and unmanaged remnants of the understory vegetation in older forests reduce evaporation from the ground, which in turn stabilizes soil-moisture levels throughout the year and allows co-polarized backscatter data (which might otherwise be dominated by soil-moisture changes) to contain significant information on the underlying vegetation. No correlation between the understory and SAR backscatter was recorded in younger forests undergoing programs of intensive weed management. This is presumably because strong canopy and trunk backscatter obscured the response from understory vegetation and because artificial changes were induced in vegetation water content as a result of the application of herbicides which in turn reduced the accuracy of some of our field measurements of understory coverage. This research nevertheless demonstrates an important potential application of active satellite microwave remote sensing. We show that satellite-based L-band SAR can be used as a tool to investigate coverage percentages of understory layers. This synoptic technique reduces the need for repeated field surveys across large areas of forest. It can enhance ecosystem assessment and improve understory coverage estimates in sparse forests and in various types of plantations.

Analyzing pancreatic characteristics in diabetic patients: A texture-based CT investigation with volume assessment

The current study aimed to analyze the texture feature of the pancreas in diabetic patients at King Faisal Medical Complex (KFMC) in Taif, KSA through Cutting-Edge Computed tomography (CT) image analysis and volume metrics. Material and method: 78 participants were involved, 39 patients with normal pancreas acted as a control group, while the remaining 39 were diagnosed with diabetes, out of which 20 had type 2 diabetes (T2D) and 19 had type 1 diabetes (T1D). These patients underwent CT scans using two specific CT scanners and were compared to normal subjects with the same age, gender and CT scanner. The entire pancreas was subjected to computerized texture analysis, which involved the extraction of 31 variable features. A multivariate logistic regression analysis was used to identify factors that could predict diabetes. A Receiver Operating Characteristic (ROC curve) was generated to determine the optimal cut-off values for statistically significant variables. Findings: Analysis of various pancreatic texture features revealed sphericity to be the most informative for diagnosing diabetes. Diabetic patients, in general, exhibited lower sphericity compared to healthy controls (p = 0.0246). For individuals with diabetes, the sphericity feature demonstrated a sensitivity of 74.36%, a specificity of 69.23%, and an Area Under the Curve (AUC) of 0.7538. Interestingly, subgroup analysis did not show any significant differences among patients with type 2 diabetes. ConclusionThis study demonstrates the potential of using computerized 3D CT texture analysis of the pancreas to assess diabetes mellitus through the measurement of quantitative parameters.

The study of in-situ calibration technology of redocking torque parameter of performance test system for space station redocking mechanism

Abstract The redocking manipulator performance test system is the necessary equipment in the development stage of a redocking manipulator. The measurement parameters such as redocking torque are the key parameters used by the test system to simulate the redocking process of the space station, which directly affect the simulation accuracy of the whole test system and the correctness of the test results of the redocking manipulator. In this paper, the in-situ calibration technology of redocking torque is studied. Firstly, the calibration theory is analyzed based on the sensor comparison method. Secondly, the in-situ calibration device of redocking torque is established by using a special loading mechanism and calibration tooling, and the measurement uncertainty is evaluated. Finally, the application verification test of the test system is carried out to verify the feasibility of the calibration device, which provides a metrological guarantee for the successful completion of the development and production task of the redocking manipulator of the space station.

The relationship between the structural changes in the cervical spinal cord and sensorimotor function of children with thoracolumbar spinal cord injury (TLSCI)

Study designCross-sectional study.ObjectivesTo study the relationship between the structural changes in the cervical spinal cord (C2/3 level) and the sensorimotor function of children with traumatic thoracolumbar spinal cord injury (TLSCI) and to discover objective imaging biomarkers to evaluate its functional status.SettingXuanwu Hospital, Capital Medical University, China; Beijing Key Laboratory of Magnetic Resonance Imaging and Brain Informatics, China.Methods30 children (age range 5–13 years) with TLSCI and 11 typically developing (TD) children (age range 6–12 years) were recruited in this study. Based on whether there is preserved motor function below the neurological level of injury (NLI), the children with TLSCI are divided into the AIS A/B group (motor complete) and the AIS C/D group (motor incomplete). A Siemens Verio 3.0 T MR scanner was used to acquire 3D high-resolution anatomic scans covering the head and upper cervical spinal cord. Morphologic parameters of the spinal cord at the C2/3 level, including cross-sectional area (CSA), anterior-posterior width (APW), and left-right width (LRW) were obtained using the spinal cord toolbox (SCT; https://www.nitrc.org/projects/sct). Correlation analyses were performed to compare the morphologic spinal cord parameters and clinical scores determined by the International Standard for Neurological Classification of Spinal Cord Injuries (ISNCSCI) examination.ResultsCSA and LRW in the AIS A/B group were significantly lower than those in the TD group and the AIS C/D group. LRW was the most sensitive imaging biomarker to differentiate the AIS A/B group from the AIS C/D group. Both CSA and APW were positively correlated with ISNCSCI sensory scores.ConclusionsQuantitative measurement of the morphologic spinal cord parameters of the cervical spinal cord can be used as an objective imaging biomarker to evaluate the neurological function of children with TLSCI. Cervical spinal cord atrophy in children after TLSCI was correlated with clinical grading; CSA and APW can reflect sensory function. Meanwhile, LRW has the potential to be an objective imaging biomarker for evaluating motor function preservation.

Unveiling an additively manufactured open hardware pin-on-disc tribometer considering its high reproducibility

In recent years, the aspects of energy efficiency and durability have become increasingly important in the development of technical systems. From a tribological point of view, these are often linked to the reduction of wear and friction. When testing new materials, coating systems or lubricants, the underlying mechanisms and physical relationships are investigated by the deployment of simplified model tests. Advanced commercial test rigs allow high-resolution measurement of important friction and wear parameters, but also entail a considerable cost and thus a certain entry barrier to deal further with tribological aspects. In many research projects, therefore, self-developed test rigs are used, which at the same time, however, makes comparability and reproducibility with other systems considerably more difficult. For this reason, we have developed a pin-on-disc tribometer based on the open hardware approach, which can be completely additively manufactured by fused filament fabrication. In addition to presenting the customizable measurement system, we investigated the measurement capability using 50 repeated measurements on two different tribological test systems. The reproducibility of the measured values was 0.4 % and 1.1 % for friction and 0.6 % and 1.0 % for wear and was thus considerably lower than the standard deviation in the tests on a single tribometer, which was up to 7.7 % and 16.1 % for friction and wear, respectively. So, the presented tribometer can be used, for example, to perform high throughput tests and thus to detect systematic correlations, e.g., in combination with machine learning approaches. Another area of application is training and education of students and professionals.

Artificial Intelligence-Based Disease Activity Monitoring to Personalized Neovascular Age-Related Macular Degeneration Treatment: A Feasibility Study

PurposeTo evaluate the performance of a disease activity (DA) model developed to detect DA in participants with neovascular age-related macular degeneration (nAMD). DesignPost-hoc analysis. ParticipantsPatient dataset from the phase III HAWK and HARRIER (H&H) studies. MethodsAn artificial intelligence (AI)-based DA model was developed to generate a DA score based on measurements of optical coherence tomography (OCT) images and other parameters collected from H&H study participants. DA assessments were classified into three categories based on the extent of agreement between the DA model’s scores and the H&H investigators’ decisions: agreement (“easy”), disagreement (“noisy”), and close to the decision boundary (“difficult”). Then, a panel of 10 international retina specialists (“panelists”) reviewed a sample of DA assessments of these three categories that contributed to the training of the final DA model. A panelists’ majority vote on the reviewed cases was used to evaluate the accuracy, sensitivity, and specificity of the DA model. Main Outcome MeasureThe DA model’s performance in detecting DA compared with the DA assessments made by the investigators and panelists’ majority vote. ResultsA total of 4472 OCT DA assessments were used to develop the model; of these, panelists reviewed 425, categorized as “easy” (17.2%), “noisy” (20.5%), and “difficult” (62.4%). False-positive and false-negative rates of the DA model’s assessments decreased after changing the assessment in some cases reviewed by the panelists and retraining the DA model. Overall, the DA model achieved 80% accuracy. For “easy” cases, the DA model reached 96% accuracy and performed as well as the investigators (96% accuracy) and panelists (90% accuracy). For “noisy” cases, the DA model performed similarly to panelists and outperformed the investigators (84%, 86%, and 16% accuracies, respectively). The DA model also outperformed the investigators for “difficult” cases (74% and 53% accuracies, respectively), but underperformed the panelists (86% accuracy) owing to lower specificity. Subretinal and intraretinal fluids were the main clinical parameters driving the DA assessments made by the panelists. ConclusionsThese results demonstrate the potential of using an AI-based DA model to optimize treatment decisions in the clinical setting and in detecting and monitoring DA in nAMD patients.

Three‐dimensional transesophageal echocardiography measurements of ASD sizing parameters in comparison to balloon sizing method in percutaneous ASD closure

AbstractBackgroundBalloon sizing (BS) has been used for device size selection in percutaneous atrial septal defect (ASD) closure. Due to its limitations, alternative imaging techniques like three‐dimensional transesophageal echocardiography (3D‐TEE) are valuable for guiding ASD device size selection during ASD closure procedures. The purpose of this study was to compare ASD sizing using measurements obtained from 3D–TEE to those utilizing the standard balloon sizing method.MethodsWe identified 53 patients with single secundum type ASD without PFO who underwent percutaneous closure at the Tehran Heart Center between 2019 and 2022. Balloon sizing was performed in all patients with the stop‐flow technique, and the choice of device size was determined based on the sizing derived from BS. 3D‐TEE imaging was performed before the intervention, and the ASD shape and quality of ASD rims were assessed.ResultsAmong the 53 patients who underwent single ASD device closure, multiple 3D TEE measurements significantly correlated with balloon sizing results. This included defect area, perimeter, and diameter obtained from 3D‐TEE images multi‐planar reconstruction. ASD perimeter detected by 3D TEE had the best correlation with BS results. When divided by the shape of ASD, there was no significant difference between our 3D‐images data and BS in round or oval‐shaped ASDs.ConclusionThe 3D‐TEE study is reliable for assessing ASD configurational characteristics in percutaneous device closure candidates. 3D‐TEE has the potential to accurately determine the appropriate device size and reduce complications, costs, and procedural duration. Further research is needed to validate these findings and establish the role of 3D‐TEE measurements in guiding the best treatment decisions for ASD closure.

The PSF smoothing effect on concentration-related parameters of high-redshift galaxies in HST and JWST

Aims. We performed a comprehensive investigation of the PSF smoothing effect on the measurement of concentration-related parameters (C, Gini, and M20) of high-redshift galaxies in the HST and JWST surveys. Methods. Our sample contains massive galaxies (109.5 M⊙ ≤ M* ≤ 1011.5 M⊙) from the CANDELS/EGS survey (at redshift 0 &lt; z &lt; 2), and the CEERS survey (at redshift 1 &lt; z &lt; 3). The non-parametric concentration-related parameters (R20, R80, C, Gini, and M20) and the model-dependent parameters (n and Re) of these galaxies were derived from Statmorph and GALFIT, respectively. The best-fit Sérsic index (n) derived from image modelling is generally robust against the PSF smoothing effect and can be used to describe the intrinsic light distribution of galaxies. On the other hand, the concentration-related parameters are significantly affected by the PSF smoothing effect since they are directly calculated from the pixels of galaxy images. We tried to evaluate the PSF smoothing effect by comparing the concentration-related parameters to the Sérsic index in both observations and mock images. Results. We find that the concentration index is generally underestimated, especially for smaller galaxies with a higher Sérsic index (eventually converging to the concentration index of the PSF). However, galaxies with a lower Sérsic index (n ≤ 1) or larger relative size (Re/FWHM &gt; 3) are less affected by the PSF smoothing effect. Tests with idealised mock images reveal that overestimating the measured R20/Re ratio leads to underestimating the concentration index C. Another commonly used concentration index C59, derived from R50 and R90 values, is less affected by the PSF. The Gini coefficient and the absolute M20 statistic also show a similar behaviour as the concentration index. Caution should be taken for the possible correction of the concentration-related parameters, where both the relative size and the Sérsic index of the galaxy are important. We also generated high-redshift artificial images from the low-redshift HST observations and confirm that the traditional correction method that simply adds a single term to the non-parametric indicators of galaxies at higher redshifts is unable to reliably recover the true distribution of the structural parameters. Compared to the HST images, the PSF smoothing is much less severe for images in the CEERS survey (for the short-wavelength filters) due to the much higher spatial resolution. In fact, it is better to use the Sérsic index rather than the non-parametric morphology indicators to trace the light concentration for galaxies at high redshifts. From the single Sérsic modelling of the HST and JWST images, we also confirm that galaxies at higher redshifts are more compact with smaller Re. The low-mass galaxies are more disc-like (n ∼ 1) compared to the high-mass galaxies that are more spheroid dominated (n ∼ 3).