Acquisition Of Sequences Research Articles

Clinical validation of artificial intelligence-based single-subject morphometry without normative reference database.

Single-subject voxel-based morphometry (VBM) is a powerful technique for reader-independent detection of brain atrophy in structural magnetic resonance imaging (MRI) to support the (differential) diagnosis and staging of neurodegenerative diseases in individual patients. However, VBM is sensitive to the MRI scanner platform and details of the acquisition sequence. To mitigate this limitation, we recently proposed and technically validated a convolutional neural network (CNN)-based VBM which does not rely on a normative reference database. Clinical validation of CNN-based VBM. CNN-based VBM was compared with conventional VBM based on a mixed-scanner normative database in 227 consecutive patients (66.0 ± 9.6 years, 53.3% female) with suspected dementing neurodegenerative disease. VBM maps were interpreted visually by two experienced readers, first with respect to the presence of any neurodegenerative disease, then for the differentiation between Alzheimer's disease (AD)-typical and non-AD atrophy patterns. A Likert 6-score was used for both tasks. Simultaneously acquired positron emission tomography (PET) with 18F-fluorodeoxyglucose (FDG) served as reference standard. Repeated-measures ANOVA revealed a significant impact of the VBM method on the visual detection of any neurodegenerative disease (p < 0.001). Balanced accuracy/sensitivity/specificity were 80.4/86.3/74.5% for CNN-based VBM versus 75.7/79.5/71.8% for conventional VBM. Differentiation between AD and non-AD typical atrophy patterns did not differ between both VBM methods (p = 0.871). CNN-based VBM provides clinically useful accuracy for the detection of neurodegeneration-suspect atrophy with higher sensitivity than conventional VBM with a mixed-scanner normative reference database and without compromising specificity.

The acquisition of relative clauses and noun phrase accessibility: testing the NPAH in Cantonese

ABSTRACT The Noun Phrase Accessibility Hierarchy (NAPH) posits a subject advantage in extraction from relative clauses and other constructions – a claim supported by numerous cross-linguistic language acquisition studies. However, Chinese languages differ from the majority of the languages hitherto studied in having SVO (head-initial) word order and prenominal relative clauses, a typologically peculiar combination that provides the opportunity to tease apart predictions of various theories of relative clauses. This study uses Cantonese in an experiment on children’s comprehension of relative clauses to investigate the effects of NP accessibility using pair-wise comparisons across the NP positions of subject, direct object, indirect object, and oblique. The results strongly support a universal subject preference and also support, to some extent, the NPAH’s predictions for the acquisition order of relative clauses. In addition, children’s errors reveal a multifactorial influence, suggesting that their processing of relative clauses is affected by semantic prominence and word order canonicity.

The Unsteady Shock-Boundary Layer Interaction in a Compressor Cascade – Part 1: Measurements With Time-Resolved PIV

Abstract Time-resolved PIV is performed in the transonic cascade to elucidate the shock-boundary layer interaction. Measurements are conducted in the center blade passage of the cascade at a sampling frequency of 20 kHz or 0.18 convective time units (CTU) for the acquisition of multiple time sequences with duration of approx. 2000 CTU. The sampling rate is sufficient to capture fluctuations of the separating region and accompanying movements of the shock system. To align both instantaneous density variations in the shock system and velocity data obtained in spatially separated regions, shadowgraphs are acquired synchronously with TR-PIV recordings at the same sampling rate. An analysis of power spectral densities along near-wall rows in PIV data reveals the chord-wise spatial distribution of specific peaks and bands. The upstream propagation of disturbances beyond the excursion range of the main shock was demonstrated for the dominant buffet frequency as well as for the high-frequency tone and its first harmonic using cross-correlation maps. A spectral proper orthogonal decomposition (SPOD) indicates that upstream of the main shock oblique shock waves occur at higher order harmonics of the fundamental buffet frequency as well for specific high-frequency tones. To locate possible sources of distinct tones at the entrance of the center passage, a SPOD of high-speed schlieren recordings is performed, capturing the shock systems in three neighboring blade passages. Results indicate that with these high-frequency tones opposing vibrations of bow and lip shocks occur for neighboring blades.

L2 German Word Order Preferences by Immigrant L1 Korean Speakers

Abstract This study examines the L2 German verb placement preferences in 58 Korean immigrant workers in Germany. The verb placement preferences are compared to predictions of Organic Grammar (Vainikka and Young-Scholten, 2011). Assuming an incremental, bottom-up morphosyntactic development, the theory predicts the possibility that L2 acquirers develop only partial clausal structures. Organic Grammar further proposes a two-tree approach of morphosyntactic development and predicts that main clauses with verb-second order (V2) are acquired before subordinate clauses with verb-final order (OV). To test these predictions, participants completed two production tasks. Results show a mixed picture. Some participants’ L2 clausal structure seems to have developed only partially, supporting the incremental approach. Regarding the predicted order of acquisition, however, some participants who showed robust use of targetlike subordination with OV, struggled with V2, preferring V3 instead. This suggests the need for a revision of the two-tree approach to incorporate the V3 preference.

The age of acquisition effect of L2 word is dependent on or independent of L1 word age of acquisition? Evidences from learning of L2 pseudowords

Abstract The study explored the origin of the age of acquisition (AoA) effect in second language (L2) using ERPs technique. We simulated L2 AoA by manipulating the order at which English pseudowords entered into training. Chinese-English bilinguals (mean age 22.04, range 18–28) learned English pseudowords matched with Chinese (L1) words, investigating the order of acquisition (OoA) effect of English pseudowords and its relationship with the matched L1 words’ AoA. OoA effects were observed in lexical decision, naming and semantic judgment tasks on N170, P200 and N400. Furthermore, OoA effects were modulated by L1 AoA in the semantic judgment task. These results suggested that OoA effects were independent at orthographic and phonological levels but modulated by L1 AoA at the semantic level. The interpretation of L2 AoA effects requires not only the integration of Semantic and Arbitrary Mapping Hypotheses, as well as consideration of the representation and activation characteristics of L2 words.

Possibilities of whole body MRI in assessing the prevalence of malignant tumor process

Purpose. To evaluate the capabilities of whole-body MRI based on accelerated acquisition sequences in assessing the extent of malignancy.Material and methods. The study included 30 patients with malignant, solid tumors of various origins and metastatic lesions of various anatomical structures. All patients underwent WB-MRI, based on accelerated data collection sequences, with subsequent clarifying studies, such as CT, PET/ CT, ultrasound to confirm or refute the malignancy of the detected changes.Results. In 14 out of 30 cases, it was possible to identify additional localizations of metastatic lesions, excluding skeletal bones.Conclusion. In modern conditions, WB-MRI makes it possible to collect comprehensive information for staging a tumor disease in a relatively short period of time.

3-D motion tracking and vascular strain imaging using bistatic dual aperture ultrasound acquisitions.

This study demonstrates high volume rate bistatic 3-D vascular strain imaging, to overcome well-known challenges caused by the anisotropic resolution and contrast inherent to ultrasound imaging.&#xD;Approach. Using two synchronized 32x32 element matrix arrays (3.5 MHz), coherent 3-D ultrasound images of ex vivo porcine aortas were acquired at 90 Hz during pulsation in a mock circulation loop. The image data of interleaved transmissions were coherently compounded on one densely sampled Cartesian grid to estimate frame-to-frame displacements using 3-D block matching. The radial displacement components were projected onto mesh nodes of the aortic wall, after which local circumferential and radial strain estimates were calculated with a 3-D least squares strain estimator.&#xD;Main results. The additional reflection content and high-resolution phase information along the axis of the second transducer added more distinctive features for block matching, resulting in an increased coverage of high correlation values and more accurate lateral displacements. Compared to single array results, the mean motion tracking error for one inflation cycle was reduced by a factor 5 to 8 and circumferential elastographic signal-to-noise ratio (SNRe) increased by 5-10 dB. Radial strain remains difficult to estimate at the transmit frequency used at these imaging depths, but may benefit from more research into strain regularization and sub-pixel interpolation techniques.&#xD;Significance. These results suggest that multi-aperture ultrasound acquisition sequences can advance the field of vascular strain imaging and elastography by addressing challenges related to estimating local-scale deformation on an acquisition level. Future research into 3-D aberration correction and probe localization techniques is important to extend the method's applicability towards in vivo use and for a wider range of applications.

Unsupervised clustering analysis-based characterization of spatial profiles of inaccuracy in apparent diffusion coefficient values with varying acquisition plan orientation and diffusion weighting gradient direction – a large multicenter phantom study

This large multicenter study of 37 magnetic resonance imaging scanners aimed at characterizing, for the first time, spatial profiles of inaccuracy (namely, Δ-profiles) in apparent diffusion coefficient (ADC) values with varying acquisition plan orientation and diffusion weighting gradient direction, using a statistical approach exploiting unsupervised clustering analysis. A diffusion-weighted imaging (DWI) protocol (b-value: 0-200-400-600-800-1000 s mm-2) with different combinations of acquisition plan orientation (axial/sagittal/coronal) and diffusion weighting gradient direction (anterior-posterior/left-right/feet-head) was acquired on a standard water phantom. For each acquisition setup, Δ-profiles along the 3 main orthogonal directions were characterized by fitting data with a second order polynomial function (ar2+ br + c). Moreover, for each Δ-profile, the maximum minus minimum of the fitting function (δmax) was calculated. The parametersa,b,c, andδmaxshowed some significant variations between scanner systems by different manufacturers or with different static magnetic field strengths, as well as between different acquisition/estimation setups. Unsupervised clustering analysis showed two evident clusters with significantly different values of parametera(p< 0.0001), which can be grouped by acquisition protocol/Δ-profile direction but not scanner system. The results of ∆-profiles confirm an appreciable inter-scanner variability in ADC measurement and corroborate the importance of guarantying the reliability of ADC estimations in clinical or research studies, considering for each scanner system the specific acquisition sequence in terms of acquisition plan orientation and diffusion weighting gradient direction.

Unbiased Analysis of Knee Cartilage Thickness Change Over Three Years Post-Treatment with Sprifermin vs. Placebo – A Post-Hoc Analysis from the Phase II FORWARD Study

ObjectivePost-treatment cartilage morphometry in the FORWARD study was performed without blinding to MRI acquisition order, involving potential reader bias. Here we obtained unbiased estimates of cartilage change post-treatment, reading year (Y)2 and Y5 MRIs with blinding to time point. We studied whether post-treatment cartilage thickness change differed between sprifermin- and placebo-treated knees. MethodsFORWARD was a 5-year randomized control trial in 549 knee osteoarthritis patients. Here, Y2/Y5 images were analyzed with blinding to relative temporal order and treatment group. Cartilage change during Y2→Y5 was obtained in 337 participants: n=57 treated with placebo intra-articular injections every 6 months (q6M); n=69 with 30μg sprifermin every 12 months (q12M), n=67 with 30μg q6M, n=73 with 100μg q12M, and n=71 with 100μg q6M between baseline (BL) and 18M. Total femorotibial joint (TFTJ) cartilage thickness was the primary analytic focus. ResultsTFTJ cartilage thickness change during Y2→Y5 was -26μm (SD64; 95%CI -32,-19) across the cohort; no statistically significant difference (p=0.80) was observed between treatment or placebo arms (one-way ANOVA). All groups lost cartilage, but the treatment-related difference in cartilage thickness in Sprifermin arms relative to placebo at Y2 was maintained until Y5. Annualized cartilage change in placebo participants was -8.2μm (SD21; 95%CI -14,-2.5) during Y2→Y5 vs. -5.4μm (SD27; 95%CI -13,1.8) during BL→Y2; no significant difference was identified (t-test). ConclusionFORWARD is the first study evaluating post-treatment benefits of a potential disease modifying osteoarthritis drug. Cartilage thickness gained with 100μg sprifermin at Y2 is maintained to Y5 and thus appears viable and sustainable.This is a post-hoc analysis of the FORWARD trial: ClinicalTrials.gov Identifier: NCT01919164

Evaluating the reproducibility of a deep learning algorithm for the prediction of retinal age.

Recently, a deep learning algorithm (DLA) has been developed to predict the chronological age from retinal images. The Retinal Age Gap (RAG), a deviation between predicted age from retinal images (Retinal Age, RA) and chronological age, correlates with mortality and age-related diseases. This study evaluated the reliability and accuracy of RA predictions and analyzed various factors that may influence them. We analyzed two groups of participants: Intravisit and Intervisit, both imaged by color fundus photography. RA was predicted using an established algorithm. The Intervisit group comprised 26 subjects, imaged in two sessions. The Intravisit group had 41 subjects, of whom each eye was photographed twice in one session. The mean absolute test-retest difference in predicted RA was 2.39years for Intervisit and 2.13years for Intravisit, with the latter showing higher prediction variability. The chronological age was predicted accurately from fundus photographs. Subsetting image pairs based on differential image quality reduced test-retest discrepancies by up to 50%, but mean image quality was not correlated with retest outcomes. Marked diurnal oscillations in RA predictions were observed, with a significant overestimation in the afternoon compared to the morning in the Intravisit cohort. The order of image acquisition across imaging sessions did not influence RA prediction and subjective age perception did not predict RAG. Inter-eye consistency exceeded 3years. Our study is the first to explore the reliability of RA predictions. Consistent image quality enhances retest outcomes. The observed diurnal variations in RA predictions highlight the need for standardized imaging protocols, but RAG could soon be a reliable metric in clinical investigations.

Spectral Analysis of MRI Sound Signal

Magnetic Resonance Imaging (MRI) is a very versatile diagnostic tool for non-invasive analysis of human organ functions, without use of ionizing radiations. Loud operating sound is the major challenge associated with the MRI technology, reaching up to 130&amp;nbsp;dB. This paper analyses and compares the spectral properties of acoustic noise produced in the examination room of the mobile imaging trailer based 1.5 Tesla MRI system, during different scanning sequences of image acquisition. The analysis is useful in understanding the dynamic behavior of the sound generated inside the examination room to develop the noise reduction strategy.

AI-Powered Biodiversity Assessment: Species Classification via DNA Barcoding and Deep Learning

Only 1.2 million out of an estimated 8.7 million species on Earth have been fully classified through taxonomy. As biodiversity loss accelerates, ecologists are urgently revising conservation strategies, but the “taxonomic impediment” remains a significant barrier, limiting effective access to and understanding of taxonomic data for many researchers. As sequencing technologies advance, short DNA sequence fragments increasingly serve as DNA barcodes for species identification. Rapid acquisition of DNA sequences from diverse organisms is now possible, highlighting the increasing significance of DNA sequence analysis tools in species identification. This study introduces a new approach for species classification with DNA barcodes based on an ensemble of deep neural networks (DNNs). Several techniques are proposed and empirically evaluated for converting raw DNA sequence data into images fed into the DNNs. The best-performing approach is obtained by representing each pair of DNA bases with the value of a related physicochemical property. By utilizing different physicochemical properties, we can create an ensemble of networks. Our proposed ensemble obtains state-of-the-art performance on both simulated and real datasets.

Subliminal priming modulates motor sequence learning.

Sequential behaviour is underpinned by the selection and inhibition of movement at appropriate points in space and time. Sequences embedded among movement patterns must be learnt, yet the contribution of response selection and inhibition to the acquisition of motor sequences remains poorly understood. We addressed this issue by overlaying the serial reaction time task (SRTT) with subliminal masked primes that differentially weighed response tendencies. In Experiment 1, twenty-four healthy young adults, and in Experiment 2, thirty-six participants, performed the SRTT with congruent (same position), incongruent (different position), or neutral (no prime) subliminal masked primes. Each condition featured an embedded eight-digit (Experiment 1) or ten-digit (Experiment 2) second-order sequence, with conditions presented in counterbalanced order during a single session. Sequence specific learning was observed under neutral and congruent prime conditions. Independent of sequence awareness, congruent primes reduced initial response latency and led to greater sequence specific learning compared with neutral primes. However, incongruent primes appeared to attenuate learning (Experiment 1). These results demonstrate that prime congruency modulates sequence specific learning below the threshold of conscious awareness. Congruent primes may elevate the salience of stimulus-response compounds and accentuate learning, but at the cost of increased awareness. Incongruent primes, and the induction of response conflict, attenuate sequence specific learning (Experiment 1) and may prevent the formation of cross-temporal contingencies necessary for implicit motor sequence learning.

Functional localization of the human auditory and visual thalamus using a thalamic localizer functional magnetic resonance imaging task

Abstract Functional magnetic resonance imaging (fMRI) of the auditory and visual sensory systems of the human brain is an active area of investigation in the study of human health and disease. The medial geniculate nucleus (MGN) and lateral geniculate nucleus (LGN) are key thalamic nuclei involved in the processing and relay of auditory and visual information, respectively, and are the subject of blood-oxygen-level-dependent (BOLD) fMRI studies of neural activation and functional connectivity in human participants. However, localization of BOLD fMRI signal originating from neural activity in MGN and LGN remains a technical challenge, due, in part, to the poor definition of boundaries of these thalamic nuclei in standard T1-weighted and T2-weighted magnetic resonance imaging sequences. Here, we report the development and evaluation of an auditory and visual sensory thalamic localizer (TL) fMRI task that produces participant-specific functionally-defined regions of interest (fROIs) of both MGN and LGN, using 3 Tesla multiband fMRI and a clustered-sparse temporal acquisition sequence, in less than 16 minutes of scan time. We demonstrate the use of MGN and LGN fROIs obtained from the TL fMRI task in standard resting-state functional connectivity (RSFC) fMRI analyses in the same participants. In RSFC analyses, we validated the specificity of MGN and LGN fROIs for signals obtained from primary auditory and visual cortex, respectively, and benchmarked their performance against alternative atlas- and segmentation-based localization methods. The TL fMRI task and analysis code (written in Presentation and MATLAB, respectively) have been made freely available to the wider research community.

Repeatability of diffusion kurtosis tensor parameters in muscles of the lower legs.

The aim of this study was to provide measurements from and investigate the repeatability of diffusion kurtosis tensor parameters in the muscles of the lower legs. Test-retest acquisition of a kurtosis tensor sequence was performed in 13 healthy volunteers. Quantitative kurtosis tensor parameters were derived, and repeatability of each parameter was evaluated by muscle group and over the whole muscle through intraclass correlation coefficient (ICC) and within-subject coefficient of variation (wsCV). Bland-Altman analysis was also conducted. Differences in parameter values by muscle group were investigated through an analysis of variance. Axial kurtosis and radial kurtosis values from the test data were 0.63 ± 0.04 and 0.70 ± 0.05, respectively. Kurtosis tensor parameters from all muscle groups and over the whole muscle had wsCV below 15%. ICC for the parameters from most muscle groups was above 85%, with the lowest ICC over the whole muscle being 88.39%. The medial gastrocnemius and extensor digitorum longus showed highest repeatability. Mean, axial, and radial diffusivity had higher wsCV despite being lower-order terms than kurtosis. This study sought to examine the repeatability of diffusion kurtosis tensor-derived parameters in the legs and verify that they could potentially be used as longitudinal imaging metrics. wsCV values from test-retest data indicated high repeatability throughout all examined muscle groups. There were minimal differences in kurtosis and diffusivity parameters between muscle groups in this healthy volunteer cohort.

SYMPATHIQUE: image-based tracking of symptoms and monitoring of pathogenesis to decompose quantitative disease resistance in the field

BackgroundQuantitative disease resistance (QR) is a complex, dynamic trait that is most reliably quantified in field-grown crops. Traditional disease assessments offer limited potential to disentangle the contributions of different components to overall QR at critical crop developmental stages. Yet, a better functional understanding of QR could greatly support a more targeted, knowledge-based selection for QR and improve predictions of seasonal epidemics. Image-based approaches together with advanced image processing methodologies recently emerged as valuable tools to standardize relevant disease assessments, increase measurement throughput, and describe diseases along multiple dimensions.ResultsWe present a simple, affordable, and easy-to-operate imaging set-up and imaging procedure for in-field acquisition of wheat leaf image sequences. The development of Septoria tritici blotch and leaf rusts was monitored over time via robust methods for symptom detection and segmentation, spatial alignment of images, symptom tracking, and leaf- and symptom characterization. The average accuracy of the spatial alignment of images in a time series was approximately 5 pixels (~ 0.15 mm). Leaf-level symptom counts as well as individual symptom property measurements revealed stable patterns over time that were generally in excellent agreement with visual impressions. This provided strong evidence for the robustness of the methodology to variability typically inherent in field data. Contrasting patterns in the number of lesions resulting from separate infection events and lesion expansion dynamics were observed across wheat genotypes. The number of separate infection events and average lesion size contributed to different degrees to overall disease intensity, possibly indicating distinct and complementary mechanisms of QR.ConclusionsThe proposed methodology enables rapid, non-destructive, and reproducible measurement of several key epidemiological parameters under field conditions. Such data can support decomposition and functional understanding of QR as well as the parameterization, fine-tuning, and validation of epidemiological models. Details of pathogenesis can translate into specific symptom phenotypes resolvable using time series of high-resolution RGB images, which may improve biological understanding of plant-pathogen interactions as well as interactions in disease complexes.

Real-time non-line-of-sight computational imaging using spectrum filtering and motion compensation.

Non-line-of-sight (NLOS) imaging aims at recovering the shape and albedo of hidden objects. Despite recent advances, real-time video of complex and dynamic scenes remains a major challenge owing to the weak signal of multiply scattered light. Here we propose and demonstrate a framework of spectrum filtering and motion compensation to realize high-quality NLOS video for room-sized scenes. Spectrum filtering leverages a wave-based model for denoising and deblurring in the frequency domain, enabling computational image reconstruction with a small number of sampling points. Motion compensation tailored with an interleaved scanning scheme can compute high-resolution live video during the acquisition of low-quality image sequences. Together, we demonstrate live NLOS videos at 4 fps for a variety of dynamic real-life scenes. The results mark a substantial stride toward real-time, large-scale and low-power NLOS imaging and sensing applications.

Oculomotor functional connectivity associated with motor sequence learning.

Acquisition of learned motor sequences involves saccades directed toward the goal to gather visual information prior to reaching. While goal-directed actions involve both eye and hand movements, therole of brain areas controlling saccades during motor sequence learning is still unclear. This study aimed to determine whether resting-state functional connectivity of oculomotor regions is associated with behavioral changes resulting from motor sequence learning. We investigated connectivity between oculomotor control regions and candidate regions involved in oculomotor control and motor sequence learning. Twenty adults had brain scans before 3 days of motor task practice and after a 24-hour retention test, which was used to assess sequence-specific learning. During testing, both saccades and reaches were tracked. Stronger connectivity in multiple oculomotor regions prior to motor task practice correlated with greater sequence-specific learning for both saccades and reaches. A more negative connectivity change involving oculomotor regions from pre- to post-training correlated with greater sequence-specific learning for both saccades and reaches. Overall, oculomotor functional connectivity was associated with themagnitude of behavioral change resulting from motor sequence learning, providing insight into thefunction of the oculomotor system during motor sequence learning.

MASTERING SWIMMING AND TECHNICAL SKILLS IN THE FRAMEWORK OF INITIAL WATER POLO TRAINING

The purpose of the article is to consider the content and sequence of acquisition of swimming and technical skills by children and adolescents as part of initial water polo training, to provide relevant methodological recommendations to children’s coaches. Methods applied: analysis of scientific sources, pedagogical observation, generalization of coaching experience, synthesis of empirical information, classification and typology, and comparison. The article describes water polo swimming styles and some specific techniques of initial swimming training, including Head-Up Freestyle and Head-Up Backstroke, Trudgen and Sidestroke, swimming in place and walking in the water using various techniques such as Eggbeater Kick, Sculling or Breaststroke Kick, lifting and holding the body above the water and jumping out of the water, start for performing a dash, stopping, turning, and lunging. After mastering swimming skills, the initial training focuses on the technique of working with the ball. It is necessary to study the technical elements of water polo in compliance with the basic didactic principles, in a clear sequence of learning techniques from easier to more difficult. The author recommends switching to technical training no earlier than 10 years of age and devoting 2-3 years to mastering technical techniques. In the process of technical training, young water polo players consistently learn the techniques of picking up the ball from the water in different ways, dribbling the ball, catching it, transferring the ball from one hand to other, different types of Shooting for passing. Exercises for mastering the technical skills of water polo should be selected and used methodically competently. It is desirable to perform some of them first on land, and only then in water, first without movement, and only then in motion, so that the conditions for performing the exercises gradually approach those of the game. To make water polo training more interesting and attractive for children, the author recommends using Splashball as a modified version of water polo for beginners.

Prevalence of cardiomyopathies and myocardial scar in patients with non-complicated premature ventricular beats: a CMR study

Abstract Introduction Frequent or symptomatic premature ventricular beats (PVBs) in subjects with no personal or family history of cardiac disease or sudden death is a recurrent motive for cardiac magnetic resonance (CMR) prescriptions. This represents a significant burden on healthcare services, given the low availability of CMR technique. If CMR is a recommended imaging modality in patients with history of cardiac arrest due to ventricular arrhythmia, sustained ventricular arrhythmias or when first-line tests are abnormal, its diagnostic value in this specific setting has not been evaluated. Purpose To determine the prevalence of significant CMR abnormalities (myocardial fibrosis, arrhythmogenic cardiomyopathies) in patients with no personal nor family history of cardiac disease and non-complicated PVBs. Methods Between September 2010 and July 2021, 416 healthy adults with no personal nor family cardiac disease history underwent CMR at our institution to explore non complicated PVBs, and were retrospectively included (Figure 1). Right and left ventricular (RV/LV) function and dimensions were systematically evaluated on CMR, as the presence of myocardial late gadolinium enhancement (LGE). Criteria for cardiomyopathies (hypertrophic cardiomyopathy (HCM), dilated cardiomyopathy (DCM), ARVD), the presence and location of myocardial fibrosis were looked after. Results A total of 605 patients were referred for CMR to explore frequent PVBs, representing 14% of all tests performed during this period. Among them, 12 patients (3%) presented significant myocardial abnormalities possibly related to PVBs: 2 patients had sequelae of myocardial infarction and 3 of myocarditis, 1 patient had criteria of HCM and 1 of ARVD, finally 5 presented non-specific myocardial fibrosis (septal mid-wall LGE). In addition, after a mean follow-up of 5 years, there was no death in patients with abnormal CMR, and only 2 patients underwent transcatheter ablation for focal non complicated but symptomatic PVBs. There was no hospitalization for heart failure. Conclusion In patients with non-complicated PVBs and no history of cardiac disease, the rate of cardiomyopathy pattern or myocardial scar on CMR is very low (3%). In this specific population, events were very rare: frequent isolated PVBs, even when associated with myocardial abnormalities, were a benign condition in our study. Given the high volume of patients referred for this indication in daily practice (14% of total CMRs in our center), the limited availability and high costs of CMR, and the difficulties of CMR sequences acquisition in the context of frequent PVBs (possibly leading to misdiagnosis), these data suggest that we should refine the selection of patients undergoing CMR for PVBs exploration.