Diagnostics (Basel, Switzerland)最新文献

{"title":"Correction: Sebro, R.; De la Garza-Ramos, C. Machine Learning for Opportunistic Screening for Osteoporosis from CT Scans of the Wrist and Forearm. <i>Diagnostics</i> 2022, <i>12</i>, 691.","authors":"Ronnie Sebro,&nbsp;Cynthia De la Garza-Ramos","doi":"10.3390/diagnostics12112635","DOIUrl":"https://doi.org/10.3390/diagnostics12112635","url":null,"abstract":"<p><p>In the original publication [...].</p>","PeriodicalId":520604,"journal":{"name":"Diagnostics (Basel, Switzerland)","volume":" ","pages":""},"PeriodicalIF":3.6,"publicationDate":"2022-10-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9623605/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"40677981","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Correlations between Contrast-Enhanced Ultrasound Imaging and Histopathological Results in Salivary Gland Lesions.","authors":"Karolina Krupa,&nbsp;Patryk Wieczorek,&nbsp;Olga Scrinscaia,&nbsp;Anna Puzio,&nbsp;Zbigniew Kozłowski,&nbsp;Wioletta Pietruszewska,&nbsp;Ludomir Stefańczyk","doi":"10.3390/diagnostics12112636","DOIUrl":"https://doi.org/10.3390/diagnostics12112636","url":null,"abstract":"<p><p>The purpose of this study was to search for correlations between contrast-enhanced ultrasound (CEUS) imaging and histopathological results in salivary gland lesions and to determine the accuracy of CEUS in the preoperative differentiation of salivary gland tumours according to postoperative histopathological results. The study included 54 consecutive patients with 63 salivary gland lesions who underwent CEUS examination prior to surgical treatment at the Department of Otolaryngology, Medical University of Łódź (Poland) in 2019-2022. The accuracy of CEUS in differential diagnostics of salivary gland lesions was later verified against final histological diagnosis. Among 63 salivary gland lesions, 26 were categorized as malignant or with malignant potential, and 37 were benign. There was a correlation between professional photographs of CEUS imaging and microscope slides containing postoperative specimens. A strong heterogeneous enhancement was observed mainly in benign lesions, with while weak heterogeneity mostly among the malignant or with malignant potential lesions. A pattern of contrast enhancement in specific structures reflected histopathological images. These results suggest that contrast-enhanced ultrasonography is a promising tool for the preoperative diagnostics of salivary gland lesions.</p>","PeriodicalId":520604,"journal":{"name":"Diagnostics (Basel, Switzerland)","volume":" ","pages":""},"PeriodicalIF":3.6,"publicationDate":"2022-10-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9689344/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"40678377","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Laboratory Diagnostic Methods and Antibiotic Resistance Patterns of <i>Staphylococcus aureus</i> and <i>Escherichia coli</i> Strains: An Evolving Human Health Challenge.","authors":"Feras Alzaben,&nbsp;Shawkat Fat'hi,&nbsp;Ayman Elbehiry,&nbsp;Maha Alsugair,&nbsp;Eman Marzouk,&nbsp;Adil Abalkhail,&nbsp;Abdulaziz M Almuzaini,&nbsp;Mohammed Rawway,&nbsp;Mai Ibrahem,&nbsp;Wael Sindi,&nbsp;Turki Alshehri,&nbsp;Mohamed Hamada","doi":"10.3390/diagnostics12112645","DOIUrl":"https://doi.org/10.3390/diagnostics12112645","url":null,"abstract":"<p><p>Raw ground meat is known as a transmission vehicle for biological agents that may be harmful to human health. The objective of the present study was to assess microbiological quality of the ground meats. A total of 280 samples of local and imported chilled meats were randomly collected from retail shops in Buraydah City, Saudi Arabia. The meat samples were microbiologically analyzed using standard methods, peptide mass fingerprinting (PMF) technique, MicroScan Walkaway System (MicroScan) and qPCR System. The imported meat was more bacterially contaminated than local meat, with variable contamination degrees of <i>Staphylococcus aureus</i> (40.33%), <i>Escherichia coli</i> (36.13%), <i>Hafnia alvei</i> (7.56%), <i>Pseudomonas</i> spp. (6.72%), <i>Salmonella</i> spp. (5.88%) and <i>Aeromonas</i> spp. (3.36%). PMF verified all the isolated bacteria by 100%, compared to 75-95% achieved by MicroScan. The gene encoding flagellin (<i>fliC</i>) was recognized in 67.44% of <i>E. coli</i> strains, while the thermonuclease (<i>nuc</i>) and methicillin resistance (<i>mec</i>A) genes were detected in 100% <i>S. aureus</i> and 39.6% of methicillin-resistant <i>S. aureus</i> (MRSA) strains, respectively. The <i>S. aureus</i> and <i>E. coli</i> strains were highly resistant to multiple antibiotics (e.g., ampicillin, amoxicillin-clavulanic acid and cephalothin). For identifying various foodborne pathogens, PMF has been recognized as a powerful and precise analytical method. In light of the increasing use of PMF to detect multidrug-resistant bacteria, this study emphasizes the need for improved ways of treating and preventing pathogens, as well as setting up monitoring systems to guarantee hygiene and safety in meat production.</p>","PeriodicalId":520604,"journal":{"name":"Diagnostics (Basel, Switzerland)","volume":" ","pages":""},"PeriodicalIF":3.6,"publicationDate":"2022-10-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9689540/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"40694547","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Artificial Intelligence in Lung Cancer Imaging: Unfolding the Future.","authors":"Michaela Cellina,&nbsp;Maurizio Cè,&nbsp;Giovanni Irmici,&nbsp;Velio Ascenti,&nbsp;Natallia Khenkina,&nbsp;Marco Toto-Brocchi,&nbsp;Carlo Martinenghi,&nbsp;Sergio Papa,&nbsp;Gianpaolo Carrafiello","doi":"10.3390/diagnostics12112644","DOIUrl":"https://doi.org/10.3390/diagnostics12112644","url":null,"abstract":"<p><p>Lung cancer is one of the malignancies with higher morbidity and mortality. Imaging plays an essential role in each phase of lung cancer management, from detection to assessment of response to treatment. The development of imaging-based artificial intelligence (AI) models has the potential to play a key role in early detection and customized treatment planning. Computer-aided detection of lung nodules in screening programs has revolutionized the early detection of the disease. Moreover, the possibility to use AI approaches to identify patients at risk of developing lung cancer during their life can help a more targeted screening program. The combination of imaging features and clinical and laboratory data through AI models is giving promising results in the prediction of patients' outcomes, response to specific therapies, and risk for toxic reaction development. In this review, we provide an overview of the main imaging AI-based tools in lung cancer imaging, including automated lesion detection, characterization, segmentation, prediction of outcome, and treatment response to provide radiologists and clinicians with the foundation for these applications in a clinical scenario.</p>","PeriodicalId":520604,"journal":{"name":"Diagnostics (Basel, Switzerland)","volume":" ","pages":""},"PeriodicalIF":3.6,"publicationDate":"2022-10-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9689810/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"40694545","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Post-Mortem Interval and Microbiome Analysis through 16S rRNA Analysis: A Systematic Review.","authors":"Pamela Tozzo,&nbsp;Irene Amico,&nbsp;Arianna Delicati,&nbsp;Federico Toselli,&nbsp;Luciana Caenazzo","doi":"10.3390/diagnostics12112641","DOIUrl":"https://doi.org/10.3390/diagnostics12112641","url":null,"abstract":"<p><p>The determination of the Post-Mortem Interval (PMI) is an issue that has always represented a challenge in the field of forensic science. Different innovative approaches, compared to the more traditional ones, have been tried over the years, without succeeding in being validated as successful methods for PMI estimation. In the last two decades, innovations in sequencing technologies have made it possible to generate large volumes of data, allowing all members of a bacterial community to be sequenced. The aim of this manuscript is to provide a review regarding new advances in PMI estimation through cadaveric microbiota identification using 16S rRNA sequencing, in order to correlate specific microbiome profiles obtained from different body sites to PMI. The systematic review was performed according to PRISMA guidelines. For this purpose, 800 studies were identified through database searching (Pubmed). Articles that dealt with PMI estimation in correlation with microbiome composition and contained data about species, body site of sampling, monitoring time and sequencing method were selected and ultimately a total of 25 studies were considered. The selected studies evaluated the contribution of the various body sites to determine PMI, based on microbiome sequencing, in human and animal models. The results of this systematic review highlighted that studies conducted on both animals and humans yielded results that were promising. In order to fully exploit the potential of the microbiome in the estimation of PMI, it would be desirable to identify standardized body sampling sites and specific sampling methods in order to align data obtained by different research groups.</p>","PeriodicalId":520604,"journal":{"name":"Diagnostics (Basel, Switzerland)","volume":" ","pages":""},"PeriodicalIF":3.6,"publicationDate":"2022-10-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9689864/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"40694543","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Effects of Escherichia coli and <i>Proteus mirabilis</i> on the Growth and Aggregation of Calcium Oxalate Crystal under Microaerobic Conditions.","authors":"Krittaya Saelee,&nbsp;Aroonlug Lulitanond,&nbsp;Nattaya Sae-Ung,&nbsp;Vitoon Prasongwatana,&nbsp;Patcharee Boonsiri,&nbsp;Ratree Tavichakorntrakool","doi":"10.3390/diagnostics12112651","DOIUrl":"https://doi.org/10.3390/diagnostics12112651","url":null,"abstract":"<p><p><i>Escherichia coli</i> and <i>Proteus mirabilis</i> are common single- and polymicrobial urinary tract infections which can survive under various oxygen levels, including inside of stone matrices. Therefore, we aimed to investigate and compare the calcium oxalate monohydrate (COM) lithogenic activities including COM crystal growth and aggregation under microaerobic conditions of <i>E</i><i>.</i> <i>coli</i> and <i>P</i><i>.</i> <i>mirabilis</i> isolated from the same stone matrix. The crystal growth was analyzed at the delta crystal area while the crystal aggregation was analyzed as the number of crystal aggregates. The results showed that compared to blank control, <i>E</i><i>.</i> <i>coli</i>, <i>P</i><i>.</i> <i>mirabilis</i> and the co-culture of <i>E</i><i>.</i> <i>coli</i> and <i>P</i><i>.</i> <i>mirabilis</i> were able to significantly promote COM crystal growth under microaerobic conditions. Interestingly, the delta crystal area in the co-culture under microaerobic conditions was larger than that of <i>E</i><i>.</i> <i>coli</i> alone and <i>P</i><i>.</i> <i>mirabilis</i> alone. In addition, only <i>P</i><i>.</i> <i>mirabilis</i> alone and the co-culture were able to significantly increase COM aggregates. This study demonstrated that single- and co-culture of <i>E</i><i>.</i> <i>coli</i> and <i>P</i><i>.</i> <i>mirabilis</i> could promote COM crystal growth and aggregation under microaerobic conditions. The co-culture of <i>E</i><i>.</i> <i>coli</i> and <i>P</i><i>.</i> <i>mirabilis</i> may provide the combination effect on COM crystal interactions. The bacterial surfaces and the important effects on bacteria-crystal interactions should be further evaluated.</p>","PeriodicalId":520604,"journal":{"name":"Diagnostics (Basel, Switzerland)","volume":" ","pages":""},"PeriodicalIF":3.6,"publicationDate":"2022-10-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9689598/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"40466616","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"An Evolving Hypergraph Convolutional Network for the Diagnosis of Alzheimer's Disease.","authors":"Xinlei Wang,&nbsp;Junchang Xin,&nbsp;Zhongyang Wang,&nbsp;Chuangang Li,&nbsp;Zhiqiong Wang","doi":"10.3390/diagnostics12112632","DOIUrl":"https://doi.org/10.3390/diagnostics12112632","url":null,"abstract":"<p><p>In the diagnosis of Alzheimer's Disease (AD), the brain network analysis method is often used. The traditional network can only reflect the pairwise association between two brain regions, but ignore the higher-order relationship between them. Therefore, a brain network construction method based on hypergraph, called hyperbrain network, is adopted. The brain network constructed by the conventional static hyperbrain network cannot reflect the dynamic changes in brain activity. Based on this, the construction of a dynamic hyperbrain network is proposed. In addition, graph convolutional networks also play a huge role in AD diagnosis. Therefore, an evolving hypergraph convolutional network for the dynamic hyperbrain network is proposed, and the attention mechanism is added to further enhance the ability of representation learning, and then it is used for the aided diagnosis of AD. The experimental results show that the proposed method can effectively improve the accuracy of AD diagnosis up to 99.09%, which is a 0.3 percent improvement over the best existing methods.</p>","PeriodicalId":520604,"journal":{"name":"Diagnostics (Basel, Switzerland)","volume":" ","pages":""},"PeriodicalIF":3.6,"publicationDate":"2022-10-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9689953/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"40678375","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Assessment of Urinary Exosomal NHE3 as a Biomarker of Acute Kidney Injury.","authors":"Yanting Yu,&nbsp;Zhiyun Ren,&nbsp;Anni Xie,&nbsp;Yutao Jia,&nbsp;Ying Xue,&nbsp;Ping Wang,&nbsp;Daxi Ji,&nbsp;Xiaoyan Wang","doi":"10.3390/diagnostics12112634","DOIUrl":"https://doi.org/10.3390/diagnostics12112634","url":null,"abstract":"<p><p>The diagnosis of acute kidney injury (AKI) traditionally depends on the serum creatinine (Scr) and urine output, which lack sufficient sensitivity and specificity. Using urinary exosomes as a biomarker has unique advantages. To assess whether urinary exosomal Na⁺/H⁺ exchanger isoform 3 (NHE3) protein could serve as a biomarker of AKI, we constructed four AKI rat models: cisplatin (7.5 mg/kg) injected intraperitoneally (IP), furosemide (20 mg/kg, IP) with a low-NaCl (0.03%) diet, a low-NaCl (0.03%) diet with candesartan (1 mg/kg, IP) and bilateral ischemia and reperfusion (I/R) injury for 40 min. Additionally, we assessed six sepsis-associated AKI patients and six healthy volunteers. Urinary exosomes were extracted by ultracentrifugation, and the NHE3 protein abundance was tested by immunoblotting for all the AKI rats and human subjects. The isolated cup-shaped particles with an average diameter of 70 nm and enrichment in CD63 were identified as exosomes. NHE3 abundance was six times higher in exosomes than in the whole urine. In cisplatin-induced AKI rats, urinary exosomal NHE3 was increased on day 2, one day earlier than the increases in Scr and blood urea nitrogen (BUN). In additional rats, urinary exosomal NHE3 decreased along with the decline in Scr after EPO pretreatment. In volume-depletion AKI induced by furosemide injection with a low-NaCl diet, the urinary exosomal NHE3 expression was higher than that in the control. Under a low-NaCl diet with candesartan-related AKI, the urinary exosomal NHE3 was elevated on day 5, earlier than Scr. In I/R-injury AKI, the urinary exosomal NHE3 was also raised compared with that in the control. In humans, the urinary exosomal NHE3 level was also elevated in sepsis-associated AKI patients in comparison with that in the healthy volunteers. The urinary exosomal NHE3 was increased in multiple AKI; it may be used as a diagnostic biomarker of AKI.</p>","PeriodicalId":520604,"journal":{"name":"Diagnostics (Basel, Switzerland)","volume":" ","pages":""},"PeriodicalIF":3.6,"publicationDate":"2022-10-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9689824/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"40678376","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Prognostic Factors of Survival in Glioblastoma Multiforme Patients-A Retrospective Study.","authors":"Georgiana Șerban,&nbsp;Flaviu Tămaș,&nbsp;Rodica Bălașa,&nbsp;Doina Manu,&nbsp;Corina Tămaș,&nbsp;Adrian Bălașa","doi":"10.3390/diagnostics12112630","DOIUrl":"https://doi.org/10.3390/diagnostics12112630","url":null,"abstract":"<p><strong>Background: </strong>Glioblastoma multiforme (GBM) is the most aggressive brain tumor that occurs in adults. In spite of prompt diagnosis and rapidly administered treatment, the survival expectancy is tremendously poor. Extensive research has been performed in order to establish factors to predict the outcome of GBM patients; however, worldwide accepted prognostic markers are still lacking.</p><p><strong>Methods: </strong>We retrospectively assessed all adult patients who were diagnosed with primary GBM and underwent surgical treatment during a three-year period (January 2017-December 2019) in the Neurosurgery Department of the Emergency Clinical County Hospital of Târgu Mureș, Romania. Our aim was to find any statistically relevant connections between clinical, imagistic, and histopathological characteristics and patients' survival.</p><p><strong>Results: </strong>A total of 75 patients were eventually included in our statistical analysis: 40 males and 35 females, with a median age of 61 years. The mean tumor dimension was 45.28 ± 15.52 mm, while the mean survival rate was 4 ± 6.75 months. A univariate analysis demonstrated a statistically significant impact of tumor size, pre-, and postoperative KPSI on survival rate. In addition, a Cox multivariate assessment strengthened previous findings regarding postoperative KPSI (regression coefficient -0.03, HR 0.97, 95% CI (HR) 0.96-0.99, <i>p</i> = 0.002) as a favorable prognostic factor and GBM size (regression coefficient 0.03, HR 1.03, 95% CI (HR) 1.01-1.05, <i>p =</i> 0.005) as a poor prognostic marker for patients' survival.</p><p><strong>Conclusions: </strong>The results of our retrospective study are consistent with prior scientific results that provide evidence supporting the importance of clinical (quantified by KPSI) and imagistic (particularly tumor dimensions) features as reliable prognostic factors in GBM patients' survival.</p>","PeriodicalId":520604,"journal":{"name":"Diagnostics (Basel, Switzerland)","volume":" ","pages":""},"PeriodicalIF":3.6,"publicationDate":"2022-10-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9689032/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"40677972","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Quantification of Pulmonary Artery Configuration after the Arterial Switch Operation: A Pilot Study.","authors":"Thomas Martens,&nbsp;Gillian Claeys,&nbsp;Joachim De Groote,&nbsp;Meletios Kanakis,&nbsp;Martin Kostolny,&nbsp;Victor Tsang,&nbsp;Marina Hughes","doi":"10.3390/diagnostics12112629","DOIUrl":"https://doi.org/10.3390/diagnostics12112629","url":null,"abstract":"<p><strong>Background: </strong>The arterial switch operation (ASO) is the preferred treatment for d-transposition of the great arteries (TGA). Freedom from reintervention is mainly determined by the performance of the arterial outflow tracts, with variable incidence of pulmonary artery stenosis (PAS), possibly related to aspects of surgical technique. This pilot study attempts to describe pulmonary artery (PA) configuration through several measurements using three-dimensional data from cardiac magnetic resonance (CMR) imaging and assesses whether PA configuration is associated with PAS.</p><p><strong>Methods: </strong>A retrospective, single-centre analysis of paediatric patients undergoing CMR after ASO. The geometry of the pulmonary arteries was compared between patients with and without PAS as judged by the CMR report.</p><p><strong>Results: </strong>Among all patients (<i>n =</i> 612) after ASO, 45 patients underwent CMR at a median age of 10 years (3.5-13). Twenty-two (57.9%) had PAS, categorized as mild (<i>n =</i> 1), moderate (<i>n =</i> 19) or severe (<i>n =</i> 2). Eighteen had stenosis on PA branches. Four had MPA stenosis. Comparison between groups with and without PAS revealed no significant differences in neo-aortic to pulmonary angle, MPA to LPA/RPA angle, or bifurcation angle. There was a significant difference in cranial displacement, with more cranial displacement in the group without PAS. However, this group was older, 10.8 (7.3-14.3) years compared to those with PAS, 6.8 (1.5-12.1).</p><p><strong>Conclusions: </strong>The spectrum of PAS after ASO is heterogenous. This study shows the feasibility of measuring PA configuration in three planes on CMR. There is no correlation between PA configuration and PAS. Therefore, other mechanisms are probably responsible for the occurrence of PAS, rather than the configuration on itself. Further multicentric studies are warranted to confirm the suggested measuring method and assessing the associations with PAS, to eventually advise surgical methodology.</p>","PeriodicalId":520604,"journal":{"name":"Diagnostics (Basel, Switzerland)","volume":" ","pages":""},"PeriodicalIF":3.6,"publicationDate":"2022-10-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9689239/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"40677970","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}