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Objective:To assess the agreement of manual measurement, semi-automatic measurement based on computer-aided diagnosis (CAD), and automatic measurement based on artificial intelligence (AI) in measuring diameters and volumes of solid pulmonary nodules.Methods:The clinical and low dose CT (LDCT) data of 165 participants in lung cancer screening of Sichuan Cancer Hospital from July 2018 to April 2020 were retrospectively analyzed. The largest nodule of each participant was selected to analyze, and its diameter and volume were measured by one junior and one senior radiologist using manual measurement, semi-automatic measurement based on CAD, and automatic measurement based on AI. Referring to Lung CT imaging reporting and data system (Lung-RADS, version 1.1), all nodules were classified into Lung-RADS 2, 3, 4A, 4B, 4X categories and low and high risk groups according to the diameter and volume measured by different measurement methods. Repeated-measures analysis of variance and paired t-test were used to compare the differences in the diameter and volume of lung nodules measured by different methods. The consistency of the three methods in measuring nodule diameter and volume was assessed by the correlation coefficient (ICC). Linear weighted Kappa coefficient was applied to assess the consistency of different measurement methods in Lung-RADS classification results; simple Kappa coefficient was applied to assess the consistency of different methods in high and low risk grouping results. Results:Difference in the diameters of pulmonary nodules measured by manual measurement, semi-automatic measurement based on CAD, and automatic measurement based on AI was statistically significant [(14.9±6.3) mm, (17.0±6.7) mm, (15.0±5.7) mm, F=88.39, P<0.001], and the pairwise comparisons showed that there was significant difference between semi-automatic measurement based on CAD and manual measurement method ( t=10.97, P<0.001), semi-automatic measurement based on CAD and automatic measurement based on AI ( t=10.07, P<0.001), but no significant difference between manual measurement method and automatic measurement based on AI method ( t=1.04, P=0.301). There was no significant difference in the measurement of pulmonary nodule volumes between the semi-automatic measurement and the automatic measurement method based on AI ( Z=0.70, P=0.482). The consistency of pulmonary nodules diameter measured by different measurement methods was high (ICC>0.75), and the consistency of semi-automatic and automatic measurement of lung nodule volume was high (ICC=0.927). The consistency of three methods for lung-RADS classification and high-and low-risk grouping according to nodule diameter was good (Kappa>0.80). The agreements between the semi-automatic measurement and the automatic measurement method for Lung-RADS classification and high-and low-risk grouping according to nodule volume were good (Kappa>0.80). Conclusion:In terms of diameter measurement of solid pulmonary nodules, automatic measurement based on AI is more consistent with manual measurement than semi-automatic measurement based on CAD. The agreement between automatic measurement and semi-automatic measurement is high in terms of volume measurement.
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Asthma is a serious health problem that involves not only the respiratory system but also the central nervous system. Previous studies identified either regional or network alterations in patients with asthma, but inconsistent results were obtained. A key question remains unclear: are the regional and neural network deficits related or are they two independent characteristics in asthma? Answering this question is the aim of this study. By collecting resting-state functional magnetic resonance imaging from 39 patients with asthma and 40 matched health controls, brain functional measures including regional activity (amplitude of low-frequency fluctuations) and neural network function (degree centrality (DC) and functional connectivity) were calculated to systematically characterize the functional alterations. Patients exhibited regional abnormities in the left angular gyrus, right precuneus, and inferior temporal gyrus within the default mode network. Network abnormalities involved both the sensorimotor network and visual network with key regions including the superior frontal gyrus and occipital lobes. Altered DC in the lingual gyrus was correlated with the degree of airway obstruction. This study elucidated different patterns of regional and network changes, thereby suggesting that the two parameters reflect different brain characteristics of asthma. These findings provide evidence for further understanding the potential cerebral alterations in the pathophysiology of asthma.
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Humans , Asthma/diagnostic imaging , Brain/diagnostic imaging , Brain Mapping , Magnetic Resonance ImagingABSTRACT
Objective Toexploretherelationshipbetweenthemicrostructuralintegrityofwhitematter(WM)andperipheralinterleukin10 (IL-10)inschizophrenia.Methods Diffusion MRIdataandvenousbloodsampleswereacquiredfrom47schizophreniapatients(SZ) and49healthycontrols (HC).Tract-basedspatialstatisticswasconductedtoexaminethedifferencesinFAandradialdiffusivity (RD)betweentwogroups.QuantitativechemiluminescenceassaywasperformedtomeasureperipheralIL-10levels.Regressionanalysiswas conductedtoinvestigatetherelationshipbetweenperipheralIL-10levelsanddiffusion measures (FAandRD).Results Compared withHC,therewerewidespreadreductionsinFAandincreaseinRDinSZ.Additionally,comparedwith HC,peripheralIL-10levels werehigherinSZ.PeripheralIL-10wasnegativelycorrelatedwithFAintherightposteriorthalamicradiationandleftinferiorfronto-occipitalfasciculusamongthepatients(β=-0.51,P=0.01andβ=-0.47,P=0.02,respectively)butnotcontrols(β=-0.01,P=0.95 andβ=-00.03,P=09.8,respectively).Andthecorrelationcoefficientsofthetwogroupsweredifferent(z=25.0,P=00.1andz=23.7,P=00.2, respectively).Conclusion TheperipheralIL-10maycontributetothedisruptionsofmicrostructuralWMintegrityinschizophrenia, supportingthenotionforanimportantroleofinflammationinthepathogenesisofschizophrenia.
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Objective By conducting a Meta-analysis on morphometric and functional imaging studies in drug-free patients,to examine the degree of overlap between anatomical and functional brain changes in schizophrenia.Methods A systematic search was conducted using PubMed,Embase,Web of Science and The Cochrane Library to identify relevant previous publications.A multimodal analysis was conducted using "Seed-based d Mapping"software.Results Fourteen structural MRI studies comprising 446 drug-free patients and 461 healthy controls,and 15 functional MRI and PET studies with 360 drug-free patients and 396 controls were enrolled in the present study. Multimodal analysis revealed considerable overlap between anatomical and functional changes,mainly in fronto-temporal regions,bilateral medial posterior cingulate/paracingulate gyrus,bilateral insula,basal ganglia,and left cerebellum.Conclusion The overlapping anatomical and functional brain abnormalities mainly in the default-mode network (DMN)and the auditory network (AN)in drug-free schizophrenia patients. The pattern of changes differed in these networks.Decreased gray matter was associated with decreased activation within the DMN, while decreased gray matter was associated with increased activation within the AN.These discrete patterns suggest different pathophysiological changes impacting structure/function relationships within different neural networks in schizophrenia.
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Objective By conducting a Meta-analysis on morphometric and functional imaging studies in drug-free patients,to examine the degree of overlap between anatomical and functional brain changes in schizophrenia.Methods A systematic search was conducted using PubMed,Embase,Web of Science and The Cochrane Library to identify relevant previous publications.A multimodal analysis was conducted using "Seed-based d Mapping"software.Results Fourteen structural MRI studies comprising 446 drug-free patients and 461 healthy controls,and 15 functional MRI and PET studies with 360 drug-free patients and 396 controls were enrolled in the present study. Multimodal analysis revealed considerable overlap between anatomical and functional changes,mainly in fronto-temporal regions,bilateral medial posterior cingulate/paracingulate gyrus,bilateral insula,basal ganglia,and left cerebellum.Conclusion The overlapping anatomical and functional brain abnormalities mainly in the default-mode network (DMN)and the auditory network (AN)in drug-free schizophrenia patients. The pattern of changes differed in these networks.Decreased gray matter was associated with decreased activation within the DMN, while decreased gray matter was associated with increased activation within the AN.These discrete patterns suggest different pathophysiological changes impacting structure/function relationships within different neural networks in schizophrenia.