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Searching for Screening: Analysis of Worldwide Google Searches Related to Computed Tomography Lung Cancer Screening. 搜索筛查:与计算机断层扫描肺癌筛查相关的全球谷歌搜索分析。
IF 3.3 4区 医学 Q1 Medicine Pub Date : 2024-04-25 DOI: 10.1097/RTI.0000000000000785
Zachary D. Zippi, R. Grage, Elizabeth M Johnson, Patricia J Mergo, Sushil K Sonavane, J. Stowell, Brent P Little
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引用次数: 0
Diagnostic Performance of 18F-FDG Positron Emission Tomography/Computed Tomography and Blood Test Parameters for Pulmonary Inflammatory Pseudotumor. 18F-FDG正电子发射断层扫描/计算机断层扫描和血液检测参数对肺部炎症性假瘤的诊断性能
IF 3.3 4区 医学 Q1 Medicine Pub Date : 2024-04-18 DOI: 10.1097/rti.0000000000000780
Bo Pan, Yanming Wang, Zehua Zhu, Xingxing Zhu
Pulmonary inflammatory pseudotumor (PIP) is an inflammatory proliferative tumor-like lesion that frequently exhibits hypermetabolism on 18F-fluorodeoxyglucose (FDG) positron emission tomography/computed tomography imaging (PET/CT) and is readily misdiagnosed as a malignant tumor. The purpose of this study was to identify PIP by combining PET/computed tomography metabolic and blood test characteristics with machine learning.
肺部炎性假瘤(PIP)是一种炎性增生性肿瘤样病变,在18F-氟脱氧葡萄糖(FDG)正电子发射断层扫描/计算机断层扫描成像(PET/CT)上经常表现为高代谢,容易被误诊为恶性肿瘤。本研究的目的是通过将 PET/计算机断层扫描代谢特征和血液检测特征与机器学习相结合来识别 PIP。
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引用次数: 0
Adjusting Atrial Size Parameters for Body Surface Area: Does it Affect the Association with Pulmonary Embolism-related Adverse Events? 根据体表面积调整心房大小参数:它会影响肺栓塞相关不良事件吗?
IF 3.3 4区 医学 Q1 Medicine Pub Date : 2024-04-18 DOI: 10.1097/rti.0000000000000781
Rachael R Kirkbride, Galit Aviram, Benedikt H Heidinger, Yuval Liberman, Aurelija Libauske, Rokas Liubauskas, Daniela M Tridente, Alexander Brook, Dominique C DaBreo, Antonio C Monteiro Filho, Brett J Carroll, Jason D Matos, Ian C McCormick, Warren J Manning, Diana E Litmanovich
Small left atrial (LA) volume was recently reported to be one of the best predictors of acute pulmonary embolism (PE)-related adverse events (AE). There is currently no data available regarding the impact that body surface area (BSA)-indexing of atrial measurements has on the association with PE-related adverse events. Our aim is to assess the impact of indexing atrial measurements to BSA on the association between computed tomography (CT) atrial measurements and AE.
最近有报道称,左心房(LA)容积小是预测急性肺栓塞(PE)相关不良事件(AE)的最佳指标之一。目前尚无数据显示体表面积(BSA)指数化的心房测量值对与 PE 相关的不良事件的影响。我们的目的是评估将心房测量值与体表面积(BSA)挂钩对计算机断层扫描(CT)心房测量值与 AE 之间关系的影响。
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引用次数: 0
Can We Differentiate Between Primary Sjögren Syndrome and Idiopathic Multicentric Castleman Disease Based on the Characteristics of Pulmonary Cysts? 我们能根据肺囊肿的特征区分原发性斯约格伦综合征和特发性多中心卡斯特曼病吗?
IF 3.3 4区 医学 Q1 Medicine Pub Date : 2024-04-16 DOI: 10.1097/rti.0000000000000787
Jiamin Zhou, Lu Zhang, Xueqing Liu, Miaoyan Zhang, Ziwei Liu, Ye Jin, Ruie Feng, Juhong Shi, Jian Li, Weihong Zhang
To identify radiological characteristics that could help differentiate cystic lung diseases between primary Sjögren syndrome (pSS) and idiopathic multicentric Castleman disease (iMCD).
确定有助于区分原发性斯约格伦综合征(pSS)和特发性多中心卡斯特曼病(iMCD)的肺囊性疾病的放射学特征。
{"title":"Can We Differentiate Between Primary Sjögren Syndrome and Idiopathic Multicentric Castleman Disease Based on the Characteristics of Pulmonary Cysts?","authors":"Jiamin Zhou, Lu Zhang, Xueqing Liu, Miaoyan Zhang, Ziwei Liu, Ye Jin, Ruie Feng, Juhong Shi, Jian Li, Weihong Zhang","doi":"10.1097/rti.0000000000000787","DOIUrl":"https://doi.org/10.1097/rti.0000000000000787","url":null,"abstract":"To identify radiological characteristics that could help differentiate cystic lung diseases between primary Sjögren syndrome (pSS) and idiopathic multicentric Castleman disease (iMCD).","PeriodicalId":49974,"journal":{"name":"Journal of Thoracic Imaging","volume":null,"pages":null},"PeriodicalIF":3.3,"publicationDate":"2024-04-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140614888","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Abnormal Cardiac Magnetic Resonance-Derived Ascending Aortic Area Strain Demonstrates Altered Ventriculo-Vascular Function in Marfan Syndrome. 异常心脏磁共振推导的升主动脉区应变显示马凡氏综合征的脑室-血管功能发生了改变
IF 3.3 4区 医学 Q1 Medicine Pub Date : 2024-04-16 DOI: 10.1097/rti.0000000000000784
Xander Jacquemyn, Kyla Cordrey, Jef Van Den Eynde, Anthony L Guerrerio, Gretchen MacCarrick, Hal C Dietz, Shelby Kutty
There remains a need for improved imaging markers for risk stratification and treatment guidance in Marfan syndrome (MFS). After aortic root replacement (ARR), vascular remodeling and progressive aneurysm formation can occur due to alterations in up- and downstream wall biomechanics and hemodynamics. We aim to compare the ventriculo-vascular properties of patients with MFS with controls, and investigate the correlation between ascending aortic area strain and descending aortic area strain (DAAS) with other clinical variables.
马凡综合征(MFS)的风险分层和治疗指导仍需要更好的成像标记物。主动脉根部置换术(ARR)后,由于上下游血管壁生物力学和血流动力学的改变,可能会导致血管重塑和渐进性动脉瘤的形成。我们旨在比较 MFS 患者和对照组的心室血管特性,并研究升主动脉面积应变和降主动脉面积应变(DAAS)与其他临床变量之间的相关性。
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引用次数: 0
Feature-Tracking Strain Parameters Differ Between Highly Accelerated and Conventional Acquisitions: A Multisoftware Assessment. 特征跟踪应变参数在高加速和常规采集之间的差异:多软件评估。
IF 3.3 4区 医学 Q1 Medicine Pub Date : 2024-03-01 Epub Date: 2023-11-06 DOI: 10.1097/RTI.0000000000000762
Moritz C Halfmann, Tim Klimzak, U Joseph Schoepf, Roman Kloeckner, Teodora Chitiboi, Michaela Schmidt, Philip Wenzel, Lukas Müller, Martin Geyer, Akos Varga-Szemes, Karl-Friedrich Kreitner, Christoph Dueber, Tilman Emrich

Background: Cardiac magnetic resonance imaging protocols have been adapted to fit the needs for faster, more efficient acquisitions, resulting in the development of highly accelerated, compressed sensing-based (CS) sequences. The aim of this study was to evaluate intersoftware and interacquisition differences for postprocessing software applied to both CS and conventional cine sequences.

Materials and methods: A total of 106 individuals (66 healthy volunteers, 40 patients with dilated cardiomyopathy, 51% female, 38±17 y) underwent cardiac magnetic resonance at 3T with retrospectively gated conventional cine and CS sequences. Postprocessing was performed using 2 commercially available software solutions and 1 research prototype from 3 different developers. The agreement of clinical and feature-tracking strain parameters between software solutions and acquisition types was assessed by Bland-Altmann analyses and intraclass correlation coefficients. Differences between softwares and acquisitions were assessed using Kruskal-Wallis analysis of variances. In addition, receiver operating characteristic curve-derived cutoffs were used to evaluate whether sequence-specific cutoffs influence disease classification.

Results: There were significant intersoftware ( P <0.002 for all except LV end-diastolic volume per body surface area) and interacquisition differences ( P <0.02 for all except end-diastolic volume per body surface area from Neosoft, left ventricular mass per body surface area from cvi42 and TrufiStrain and global circumferential strain from Neosoft). However, the intraclass correlation coefficients between acquisitions were strong-to-excellent for all parameters (all ≥0.81). In comparing individual softwares to a pooled mean, Bland-Altmann analyses revealed smaller magnitudes of bias for cine acquisition than for CS acquisition. In addition, the application of conventional cutoffs to CS measurements did not result in the false reclassification of patients.

Conclusion: Significantly lower magnitudes of strain and volumetric parameters were observed in retrospectively gated CS acquisitions, despite strong-to-excellent agreement amongst software solutions and acquisition types. It remains important to be aware of the acquisition type in the context of follow-up examinations, where different cutoffs might lead to misclassifications.

背景:心脏磁共振成像方案已经适应了更快、更有效的采集需求,导致了高度加速、压缩的基于感知(CS)序列的发展。本研究的目的是评估应用于CS和传统电影序列的后处理软件的软件间和采集间差异。材料与方法:106例(健康志愿者66例,扩张型心肌病患者40例,女性51%,38±17岁)采用回顾性门控常规cine和CS序列在3T行心脏磁共振。后处理使用了来自3个不同开发商的2个商用软件解决方案和1个研究原型。通过Bland-Altmann分析和类内相关系数评估软件解决方案与采集类型之间临床和特征跟踪应变参数的一致性。软件和收购之间的差异使用Kruskal-Wallis方差分析进行评估。此外,使用受试者工作特征曲线衍生的截止值来评估序列特异性截止值是否影响疾病分类。结论:尽管软件解决方案和采集类型之间具有很强的一致性,但在回顾性门控CS采集中观察到的应变和体积参数值明显较低。在后续检查的背景下,了解获取类型仍然很重要,因为不同的截止值可能导致错误分类。
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引用次数: 0
In Memoriam: Robert D. Pugatch, MD (1945-2023). 悼念罗伯特-D-普加奇医学博士(1945-2023)。
IF 3.3 4区 医学 Q1 Medicine Pub Date : 2024-03-01 Epub Date: 2024-01-15 DOI: 10.1097/RTI.0000000000000775
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引用次数: 0
The Role of Artificial Intelligence in Coronary Calcium Scoring in Standard Cardiac Computed Tomography and Chest Computed Tomography With Different Reconstruction Kernels. 人工智能在标准心脏ct和不同重建核的胸部ct冠状动脉钙化评分中的作用。
IF 3.3 4区 医学 Q1 Medicine Pub Date : 2024-03-01 Epub Date: 2023-11-20 DOI: 10.1097/RTI.0000000000000765
Yenpo Lin, Gigin Lin, Meng-Ting Peng, Chi-Tai Kuo, Yung-Liang Wan, Wen-Jin Cherng

Purpose: To assess the correlation of coronary calcium score (CS) obtained by artificial intelligence (AI) with those obtained by electrocardiography gated standard cardiac computed tomography (CCT) and nongated chest computed tomography (ChCT) with different reconstruction kernels.

Patients and methods: Seventy-six patients received standard CCT and ChCT simultaneously. We compared CS obtained in 4 groups: CS CCT , by the traditional method from standard CCT, 25 cm field of view, 3 mm slice thickness, and kernel filter convolution 12 (FC12); CS AICCT , by AI from the standard CCT; CS ChCTsoft , by AI from the non-gated CCT, 40 cm field of view, 3 mm slice thickness, and a soft kernel FC02; and CS ChCTsharp , by AI from CCT image with same parameters for CS ChCTsoft except for using a sharp kernel FC56. Statistical analyses included Spearman rank correlation coefficient (ρ), intraclass correlation (ICC), Bland-Altman plots, and weighted kappa analysis (κ).

Results: The CS AICCT was consistent with CS CCT (ρ = 0.994 and ICC of 1.00, P < 0.001) with excellent agreement with respect to cardiovascular (CV) risk categories of the Agatston score (κ = 1.000). The correlation between CS ChCTsoft and CS ChCTsharp was good (ρ = 0.912, 0.963 and ICC = 0.929, 0.948, respectively, P < 0.001) with a tendency of underestimation (Bland-Altman mean difference and 95% upper and lower limits of agreements were 329.1 [-798.9 to 1457] and 335.3 [-651.9 to 1322], respectively). The CV risk category agreement between CS ChCTsoft and CS ChCTsharp was moderate (κ = 0.556 and 0.537, respectively).

Conclusions: There was an excellent correlation between CS CCT and CS AICCT , with excellent agreement between CV risk categories. There was also a good correlation between CS CCT and CS obtained by ChCT albeit with a tendency for underestimation and moderate accuracy in terms of CV risk assessment.

目的:评价人工智能(AI)获得的冠状动脉钙化评分(CS)与不同重建核数的心电图门控标准心脏计算机断层扫描(CCT)和非栅格胸部计算机断层扫描(ChCT)的相关性。患者和方法:76例患者同时接受标准CCT和ChCT。我们比较了四组CS: CSCCT,采用传统方法获得标准CCT, 25 cm视场,3 mm切片厚度,核滤波器卷积12 (FC12);CSAICCT,由AI从标准的CCT;CSChCTsoft,由人工智能从非门控CCT, 40厘米的视野,3毫米的切片厚度,和一个软核FC02;CSChCTsharp和CSChCTsharp,由人工智能从CSChCTsoft的CCT图像中获得相同的参数,只是使用了锐利内核FC56。统计分析包括Spearman等级相关系数(ρ)、类内相关系数(ICC)、Bland-Altman图和加权kappa分析(κ)。结果:CSAICCT与CSCCT结果一致(ρ = 0.994, ICC为1.00,P < 0.001),与Agatston评分的心血管(CV)危险类别吻合极好(κ = 1.000)。CSChCTsoft与CSChCTsharp的相关性较好(ρ = 0.912、0.963,ICC = 0.929、0.948,P < 0.001),有低估倾向(Bland-Altman平均差值和95%上下限分别为329.1[-798.9 ~ 1457]和335.3[-651.9 ~ 1322])。CSChCTsoft和CSChCTsharp的CV风险类别一致性中等(κ分别= 0.556和0.537)。结论:CSCCT和CSAICCT之间有很好的相关性,CV风险类别之间有很好的一致性。CSCCT与ChCT获得的CS之间也有良好的相关性,尽管在CV风险评估方面存在低估和中等准确性的倾向。
{"title":"The Role of Artificial Intelligence in Coronary Calcium Scoring in Standard Cardiac Computed Tomography and Chest Computed Tomography With Different Reconstruction Kernels.","authors":"Yenpo Lin, Gigin Lin, Meng-Ting Peng, Chi-Tai Kuo, Yung-Liang Wan, Wen-Jin Cherng","doi":"10.1097/RTI.0000000000000765","DOIUrl":"10.1097/RTI.0000000000000765","url":null,"abstract":"<p><strong>Purpose: </strong>To assess the correlation of coronary calcium score (CS) obtained by artificial intelligence (AI) with those obtained by electrocardiography gated standard cardiac computed tomography (CCT) and nongated chest computed tomography (ChCT) with different reconstruction kernels.</p><p><strong>Patients and methods: </strong>Seventy-six patients received standard CCT and ChCT simultaneously. We compared CS obtained in 4 groups: CS CCT , by the traditional method from standard CCT, 25 cm field of view, 3 mm slice thickness, and kernel filter convolution 12 (FC12); CS AICCT , by AI from the standard CCT; CS ChCTsoft , by AI from the non-gated CCT, 40 cm field of view, 3 mm slice thickness, and a soft kernel FC02; and CS ChCTsharp , by AI from CCT image with same parameters for CS ChCTsoft except for using a sharp kernel FC56. Statistical analyses included Spearman rank correlation coefficient (ρ), intraclass correlation (ICC), Bland-Altman plots, and weighted kappa analysis (κ).</p><p><strong>Results: </strong>The CS AICCT was consistent with CS CCT (ρ = 0.994 and ICC of 1.00, P < 0.001) with excellent agreement with respect to cardiovascular (CV) risk categories of the Agatston score (κ = 1.000). The correlation between CS ChCTsoft and CS ChCTsharp was good (ρ = 0.912, 0.963 and ICC = 0.929, 0.948, respectively, P < 0.001) with a tendency of underestimation (Bland-Altman mean difference and 95% upper and lower limits of agreements were 329.1 [-798.9 to 1457] and 335.3 [-651.9 to 1322], respectively). The CV risk category agreement between CS ChCTsoft and CS ChCTsharp was moderate (κ = 0.556 and 0.537, respectively).</p><p><strong>Conclusions: </strong>There was an excellent correlation between CS CCT and CS AICCT , with excellent agreement between CV risk categories. There was also a good correlation between CS CCT and CS obtained by ChCT albeit with a tendency for underestimation and moderate accuracy in terms of CV risk assessment.</p>","PeriodicalId":49974,"journal":{"name":"Journal of Thoracic Imaging","volume":null,"pages":null},"PeriodicalIF":3.3,"publicationDate":"2024-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"138048347","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Approach to Imaging of Patients Presenting With Acute Coronary Syndrome With No Culprit Lesion Identified at Angiography. 对急性冠状动脉综合征患者进行血管造影时未发现病灶的造影方法。
IF 3.3 4区 医学 Q1 Medicine Pub Date : 2024-03-01 Epub Date: 2024-01-19 DOI: 10.1097/RTI.0000000000000773
Tiffany T Ni, Wendy Tsang, Elsie T Nguyen

Chest pain is a common chief complaint among patients presenting to the emergency department. However, in the scenario where the clinical presentation is consistent with acute coronary syndrome and no culprit lesions are identified on angiography, clinicians and cardiac imagers should be informed of the differential diagnosis and appropriate imaging modalities used to investigate the potential causes. This review describes an imaging-based algorithm that highlights the diagnostic possibilities, their differentiating imaging features, and the important role of cardiovascular magnetic resonance imaging for narrowing the differential diagnosis.

胸痛是急诊科就诊患者的常见主诉。然而,如果临床表现与急性冠状动脉综合征一致,但血管造影检查未发现罪魁祸首病变,临床医生和心脏造影师应了解鉴别诊断以及用于调查潜在病因的适当造影模式。本综述介绍了一种基于影像学的算法,该算法强调了诊断的可能性、影像学的鉴别特征以及心血管磁共振成像在缩小鉴别诊断范围方面的重要作用。
{"title":"Approach to Imaging of Patients Presenting With Acute Coronary Syndrome With No Culprit Lesion Identified at Angiography.","authors":"Tiffany T Ni, Wendy Tsang, Elsie T Nguyen","doi":"10.1097/RTI.0000000000000773","DOIUrl":"10.1097/RTI.0000000000000773","url":null,"abstract":"<p><p>Chest pain is a common chief complaint among patients presenting to the emergency department. However, in the scenario where the clinical presentation is consistent with acute coronary syndrome and no culprit lesions are identified on angiography, clinicians and cardiac imagers should be informed of the differential diagnosis and appropriate imaging modalities used to investigate the potential causes. This review describes an imaging-based algorithm that highlights the diagnostic possibilities, their differentiating imaging features, and the important role of cardiovascular magnetic resonance imaging for narrowing the differential diagnosis.</p>","PeriodicalId":49974,"journal":{"name":"Journal of Thoracic Imaging","volume":null,"pages":null},"PeriodicalIF":3.3,"publicationDate":"2024-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139547547","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Functional Impairment in Small Airways Associated With the Breathlessness Symptoms in Long-Coronavirus Disease. 小型航空公司的功能损害和长期冠状病毒疾病的呼吸困难症状有关。
IF 3.3 4区 医学 Q1 Medicine Pub Date : 2024-03-01 Epub Date: 2023-10-09 DOI: 10.1097/RTI.0000000000000748
Minsuok Kim, Jeongeun Hwang, James T Grist, Gabriele Abueid, Soon Ho Yoon, Vicente Grau, Emily Fraser, Fergus V Gleeson

Purpose: This study aimed to determine the association between functional impairment in small airways and symptoms of dyspnea in patients with Long-coronavirus disease (COVID), using imaging and computational modeling analysis.

Patients and methods: Thirty-four patients with Long-COVID underwent thoracic computed tomography and hyperpolarized Xenon-129 magnetic resonance imaging (HP Xe MRI) scans. Twenty-two answered dyspnea-12 questionnaires. We used a computed tomography-based full-scale airway network (FAN) flow model to simulate pulmonary ventilation. The ventilation distribution projected on a coronal plane and the percentage lobar ventilation modeled in the FAN model were compared with the HP Xe MRI data. To assess the ventilation heterogeneity in small airways, we calculated the fractal dimensions of the impaired ventilation regions in the HP Xe MRI and FAN models.

Results: The ventilation distribution projected on a coronal plane showed an excellent resemblance between HP Xe MRI scans and FAN models (structure similarity index: 0.87 ± 0.04). In both the image and the model, the existence of large clustered ventilation defects was not identifiable regardless of dyspnea severity. The percentage lobar ventilation of the HP Xe MRI and FAN model showed a strong correlation (ρ = 0.63, P < 0.001). The difference in the fractal dimension of impaired ventilation zones between the low and high dyspnea-12 score groups was significant (HP Xe MRI: 1.97 [1.89 to 2.04] and 2.08 [2.06 to 2.14], P = 0.005; FAN: 2.60 [2.59 to 2.64] and 2.64 [2.63 to 2.65], P = 0.056).

Conclusions: This study has identified a potential association of small airway functional impairment with breathlessness in Long-COVID, using fractal analysis of HP Xe MRI scans and FAN models.

目的:本研究旨在通过成像和计算建模分析,确定长期冠状病毒病(COVID)患者小气道功能损伤与呼吸困难症状之间的关系。患者和方法:34名Long COVID患者接受了胸部计算机断层扫描和超极化Xenon-129磁共振成像(HP Xe MRI)扫描。22人回答了12项运动障碍问卷。我们使用基于计算机断层扫描的全尺寸气道网络(FAN)流量模型来模拟肺通气。将冠状面上投影的通气分布和FAN模型中建模的肺叶通气百分比与HP Xe MRI数据进行比较。为了评估小气道的通气异质性,我们计算了HP Xe MRI和FAN模型中受损通气区域的分形维数。结果:投影在冠状面上的通气分布显示,HP Xe MRI扫描与FAN模型非常相似(结构相似指数:0.87±0.04)。在图像和模型中,无论呼吸困难的严重程度如何,都无法识别是否存在大型聚集性通气缺陷。HP Xe MRI和FAN模型的肺叶通气百分比显示出很强的相关性(ρ=0.63,P<0.001)。低和高呼吸困难12分组之间通气受损区的分形维数差异显著(HP Xe MRI:1.97[1.89至2.04]和2.08[2.06至2.14],P=0.005;FAN:2.60[2.59至2.64]和2.64[2.63至2.65],P=0.056)这项研究通过对HP Xe MRI扫描和FAN模型的分形分析,确定了长期新冠肺炎患者小气道功能损伤和呼吸困难的潜在关联。
{"title":"Functional Impairment in Small Airways Associated With the Breathlessness Symptoms in Long-Coronavirus Disease.","authors":"Minsuok Kim, Jeongeun Hwang, James T Grist, Gabriele Abueid, Soon Ho Yoon, Vicente Grau, Emily Fraser, Fergus V Gleeson","doi":"10.1097/RTI.0000000000000748","DOIUrl":"10.1097/RTI.0000000000000748","url":null,"abstract":"<p><strong>Purpose: </strong>This study aimed to determine the association between functional impairment in small airways and symptoms of dyspnea in patients with Long-coronavirus disease (COVID), using imaging and computational modeling analysis.</p><p><strong>Patients and methods: </strong>Thirty-four patients with Long-COVID underwent thoracic computed tomography and hyperpolarized Xenon-129 magnetic resonance imaging (HP Xe MRI) scans. Twenty-two answered dyspnea-12 questionnaires. We used a computed tomography-based full-scale airway network (FAN) flow model to simulate pulmonary ventilation. The ventilation distribution projected on a coronal plane and the percentage lobar ventilation modeled in the FAN model were compared with the HP Xe MRI data. To assess the ventilation heterogeneity in small airways, we calculated the fractal dimensions of the impaired ventilation regions in the HP Xe MRI and FAN models.</p><p><strong>Results: </strong>The ventilation distribution projected on a coronal plane showed an excellent resemblance between HP Xe MRI scans and FAN models (structure similarity index: 0.87 ± 0.04). In both the image and the model, the existence of large clustered ventilation defects was not identifiable regardless of dyspnea severity. The percentage lobar ventilation of the HP Xe MRI and FAN model showed a strong correlation (ρ = 0.63, P < 0.001). The difference in the fractal dimension of impaired ventilation zones between the low and high dyspnea-12 score groups was significant (HP Xe MRI: 1.97 [1.89 to 2.04] and 2.08 [2.06 to 2.14], P = 0.005; FAN: 2.60 [2.59 to 2.64] and 2.64 [2.63 to 2.65], P = 0.056).</p><p><strong>Conclusions: </strong>This study has identified a potential association of small airway functional impairment with breathlessness in Long-COVID, using fractal analysis of HP Xe MRI scans and FAN models.</p>","PeriodicalId":49974,"journal":{"name":"Journal of Thoracic Imaging","volume":null,"pages":null},"PeriodicalIF":3.3,"publicationDate":"2024-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"54231947","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
期刊
Journal of Thoracic Imaging
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