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Slawig A, Rothe M, Deistung A, Bohndorf K, Brill R, Graf S, Weng AM, Wohlgemuth WA, Gussew A. Ultra-short echo time (UTE) MR imaging: A brief review on technical considerations and clinical applications. ROFO-FORTSCHR RONTG 2024; 196:671-681. [PMID: 37995735 DOI: 10.1055/a-2193-1379] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/25/2023]
Affiliation(s)
- Anne Slawig
- University Clinic and Outpatient Clinic for Radiology, University Hospital Halle, Germany
- Halle MR Imaging Core Facility, Medical faculty, Martin Luther University Halle Wittenberg, Halle, Germany
| | - Maik Rothe
- University Clinic and Outpatient Clinic for Radiology, University Hospital Halle, Germany
- Halle MR Imaging Core Facility, Medical faculty, Martin Luther University Halle Wittenberg, Halle, Germany
| | - Andreas Deistung
- University Clinic and Outpatient Clinic for Radiology, University Hospital Halle, Germany
- Halle MR Imaging Core Facility, Medical faculty, Martin Luther University Halle Wittenberg, Halle, Germany
| | - Klaus Bohndorf
- University Clinic and Outpatient Clinic for Radiology, University Hospital Halle, Germany
| | - Richard Brill
- University Clinic and Outpatient Clinic for Radiology, University Hospital Halle, Germany
| | - Simon Graf
- University Clinic and Outpatient Clinic for Radiology, University Hospital Halle, Germany
- Halle MR Imaging Core Facility, Medical faculty, Martin Luther University Halle Wittenberg, Halle, Germany
| | - Andreas Max Weng
- Department of Diagnostic and Interventional Radiology, University Hospital Wurzburg, Wurzburg, Germany
| | - Walter A Wohlgemuth
- University Clinic and Outpatient Clinic for Radiology, University Hospital Halle, Germany
- Halle MR Imaging Core Facility, Medical faculty, Martin Luther University Halle Wittenberg, Halle, Germany
| | - Alexander Gussew
- University Clinic and Outpatient Clinic for Radiology, University Hospital Halle, Germany
- Halle MR Imaging Core Facility, Medical faculty, Martin Luther University Halle Wittenberg, Halle, Germany
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David M, Benlala I, Bui S, Benkert T, Berger P, Laurent F, Macey J, Dournes G. Longitudinal Evaluation of Bronchial Changes in Cystic Fibrosis Patients Undergoing Elexacaftor/Tezacaftor/Ivacaftor Therapy Using Lung MRI With Ultrashort Echo-Times. J Magn Reson Imaging 2024; 60:116-124. [PMID: 37861357 DOI: 10.1002/jmri.29041] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/10/2023] [Revised: 09/21/2023] [Accepted: 09/22/2023] [Indexed: 10/21/2023] Open
Abstract
BACKGROUND Lung magnetic resonance imaging (MRI) with ultrashort echo-times (UTE-MRI) allows high-resolution and radiation-free imaging of the lung structure in cystic fibrosis (CF). In addition, the combination of elexacaftor/tezacaftor/ivacaftor (ETI) has improved CF clinical outcomes such as need for hospitalization. However, the effect on structural disease still needs longitudinal evaluation at high resolution. PURPOSE To analyze the effects of ETI on lung structural alterations using UTE-MRI, with a focus on bronchiectasis reversibility. STUDY TYPE Retrospective. POPULATION Fifty CF patients (mean age 24.3 ± 9.2; 23 males). FIELD STRENGTH/SEQUENCE 1.5 T, UTE-MRI. ASSESSMENT All subjects completed both UTE-MRI and pulmonary function tests (PFTs) during two annual visits (M0 and M12), and 30 of them completed a CT scan. They initiated ETI treatment after M0 within a maximum of 3 months from the annual examinations. Three observers scored a clinical MRI Bhalla score on UTE-MRI. Bronchiectasis reversibility was defined as a reduction in both outer and inner bronchial dimensions. Correlations were searched between the Bhalla score and PFT such as the forced expiratory volume in 1 second percentage predicted (FEV1%p). STATISTICAL TESTS Comparison was assessed using the paired t-test, correlation using the Spearman correlation test with a significance level of 0.05. Concordance and reproducibility were assessed using intraclass correlation coefficient (ICC). RESULTS There was a significant improvement in MRI Bhalla score after ETI treatment. UTE-MRI demonstrated bronchiectasis reversibility in a subgroup of 18 out of 50 CF patients (36%). These patients with bronchiectasis reversibility were significantly younger, with lower severity of wall thickening but no difference in mucus plugging extent (P = 0.39) was found. The reproducibility of UTE-MRI evaluations was excellent (ICC ≥ 0.95), was concordant with CT scan (N = 30; ICC ≥ 0.90) and significantly correlated to FEV1% at PFT at M0 (N = 50; r = 0.71) and M12 (N = 50; r = 0.72). DATA CONCLUSION UTE-MRI is a reproducible tool for the longitudinal follow-up of CF patients, allowing to quantify the response to ETI and demonstrating the reversibility of some structural alterations such as bronchiectasis in a substantial fraction of this study population. LEVEL OF EVIDENCE 4 TECHNICAL EFFICACY: Stage 2.
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Affiliation(s)
- Mathieu David
- CHU Bordeaux, Service d'Imagerie Thoracique et Cardiovasculaire, Service des Maladies Respiratoires, Service d'Exploration Fonctionnelle Respiratoire, Paediatric Cystic Fibrosis Reference Center (CRCM), Pessac, France
| | - Ilyes Benlala
- CHU Bordeaux, Service d'Imagerie Thoracique et Cardiovasculaire, Service des Maladies Respiratoires, Service d'Exploration Fonctionnelle Respiratoire, Paediatric Cystic Fibrosis Reference Center (CRCM), Pessac, France
- Univ. Bordeaux, INSERM, Centre de Recherche Cardio-Thoracique de Bordeaux, Pessac, France
- INSERM, U1045, Centre de Recherche Cardio-Thoracique de Bordeaux, Pessac, France
| | - Stephanie Bui
- CHU Bordeaux, Service d'Imagerie Thoracique et Cardiovasculaire, Service des Maladies Respiratoires, Service d'Exploration Fonctionnelle Respiratoire, Paediatric Cystic Fibrosis Reference Center (CRCM), Pessac, France
- Univ. Bordeaux, INSERM, Centre de Recherche Cardio-Thoracique de Bordeaux, Pessac, France
- INSERM, U1045, Centre de Recherche Cardio-Thoracique de Bordeaux, Pessac, France
| | - Thomas Benkert
- MR Application Predevelopment, Siemens Healthcare GmbH, Erlangen, Germany
| | - Patrick Berger
- CHU Bordeaux, Service d'Imagerie Thoracique et Cardiovasculaire, Service des Maladies Respiratoires, Service d'Exploration Fonctionnelle Respiratoire, Paediatric Cystic Fibrosis Reference Center (CRCM), Pessac, France
- Univ. Bordeaux, INSERM, Centre de Recherche Cardio-Thoracique de Bordeaux, Pessac, France
- INSERM, U1045, Centre de Recherche Cardio-Thoracique de Bordeaux, Pessac, France
| | - François Laurent
- CHU Bordeaux, Service d'Imagerie Thoracique et Cardiovasculaire, Service des Maladies Respiratoires, Service d'Exploration Fonctionnelle Respiratoire, Paediatric Cystic Fibrosis Reference Center (CRCM), Pessac, France
- Univ. Bordeaux, INSERM, Centre de Recherche Cardio-Thoracique de Bordeaux, Pessac, France
- INSERM, U1045, Centre de Recherche Cardio-Thoracique de Bordeaux, Pessac, France
| | - Julie Macey
- CHU Bordeaux, Service d'Imagerie Thoracique et Cardiovasculaire, Service des Maladies Respiratoires, Service d'Exploration Fonctionnelle Respiratoire, Paediatric Cystic Fibrosis Reference Center (CRCM), Pessac, France
- Univ. Bordeaux, INSERM, Centre de Recherche Cardio-Thoracique de Bordeaux, Pessac, France
- INSERM, U1045, Centre de Recherche Cardio-Thoracique de Bordeaux, Pessac, France
| | - Gael Dournes
- CHU Bordeaux, Service d'Imagerie Thoracique et Cardiovasculaire, Service des Maladies Respiratoires, Service d'Exploration Fonctionnelle Respiratoire, Paediatric Cystic Fibrosis Reference Center (CRCM), Pessac, France
- Univ. Bordeaux, INSERM, Centre de Recherche Cardio-Thoracique de Bordeaux, Pessac, France
- INSERM, U1045, Centre de Recherche Cardio-Thoracique de Bordeaux, Pessac, France
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Baniasadi A, Das JP, Prendergast CM, Beizavi Z, Ma HY, Jaber MY, Capaccione KM. Imaging at the nexus: how state of the art imaging techniques can enhance our understanding of cancer and fibrosis. J Transl Med 2024; 22:567. [PMID: 38872212 PMCID: PMC11177383 DOI: 10.1186/s12967-024-05379-1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/11/2024] [Accepted: 06/06/2024] [Indexed: 06/15/2024] Open
Abstract
Both cancer and fibrosis are diseases involving dysregulation of cell signaling pathways resulting in an altered cellular microenvironment which ultimately leads to progression of the condition. The two disease entities share common molecular pathophysiology and recent research has illuminated the how each promotes the other. Multiple imaging techniques have been developed to aid in the early and accurate diagnosis of each disease, and given the commonalities between the pathophysiology of the conditions, advances in imaging one disease have opened new avenues to study the other. Here, we detail the most up-to-date advances in imaging techniques for each disease and how they have crossed over to improve detection and monitoring of the other. We explore techniques in positron emission tomography (PET), magnetic resonance imaging (MRI), second generation harmonic Imaging (SGHI), ultrasound (US), radiomics, and artificial intelligence (AI). A new diagnostic imaging tool in PET/computed tomography (CT) is the use of radiolabeled fibroblast activation protein inhibitor (FAPI). SGHI uses high-frequency sound waves to penetrate deeper into the tissue, providing a more detailed view of the tumor microenvironment. Artificial intelligence with the aid of advanced deep learning (DL) algorithms has been highly effective in training computer systems to diagnose and classify neoplastic lesions in multiple organs. Ultimately, advancing imaging techniques in cancer and fibrosis can lead to significantly more timely and accurate diagnoses of both diseases resulting in better patient outcomes.
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Affiliation(s)
- Alireza Baniasadi
- Department of Radiology, Columbia University Irving Medical Center, 622 W 168Th Street, New York, NY, 10032, USA.
| | - Jeeban P Das
- Department of Radiology, Memorial Sloan Kettering Cancer Center, New York, NY, 10065, USA
| | - Conor M Prendergast
- Department of Radiology, Columbia University Irving Medical Center, 622 W 168Th Street, New York, NY, 10032, USA
| | - Zahra Beizavi
- Department of Radiology, Columbia University Irving Medical Center, 622 W 168Th Street, New York, NY, 10032, USA
| | - Hong Y Ma
- Department of Radiology, Columbia University Irving Medical Center, 622 W 168Th Street, New York, NY, 10032, USA
| | | | - Kathleen M Capaccione
- Department of Radiology, Columbia University Irving Medical Center, 622 W 168Th Street, New York, NY, 10032, USA
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Bak SH, Park J, Lee S, Kim JH, Lee HY, Park JY. Clinical usability of 3D gradient-echo-based ultrashort echo time imaging: Is it enough to facilitate diagnostic decision in real-world practice? PLoS One 2024; 19:e0296696. [PMID: 38722966 PMCID: PMC11081383 DOI: 10.1371/journal.pone.0296696] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/30/2023] [Accepted: 12/17/2023] [Indexed: 05/13/2024] Open
Abstract
BACKGROUND With recent advances in magnetic resonance imaging (MRI) technology, the practical role of lung MRI is expanding despite the inherent challenges of the thorax. The purpose of our study was to evaluate the current status of the concurrent dephasing and excitation (CODE) ultrashort echo-time sequence and the T1-weighted volumetric interpolated breath-hold examination (VIBE) sequence in the evaluation of thoracic disease by comparing it with the gold standard computed tomography (CT). METHODS Twenty-four patients with lung cancer and mediastinal masses underwent both CT and MRI including T1-weighted VIBE and CODE. For CODE images, data were acquired in free breathing and end-expiratory images were reconstructed using retrospective respiratory gating. All images were evaluated through qualitative and quantitative approaches regarding various anatomical structures and lesions (nodule, mediastinal mass, emphysema, reticulation, honeycombing, bronchiectasis, pleural plaque and lymphadenopathy) inside the thorax in terms of diagnostic performance in making specific decisions. RESULTS Depiction of the lung parenchyma, mediastinal and pleural lesion was not significant different among the three modalities (p > 0.05). Intra-tumoral and peritumoral features of lung nodules were not significant different in the CT, VIBE or CODE images (p > 0.05). However, VIBE and CODE had significantly lower image quality and poorer depiction of airway, great vessels, and emphysema compared to CT (p < 0.05). Image quality of central airways and depiction of bronchi were significantly better in CODE than in VIBE (p < 0.001 and p = 0.005). In contrast, the depiction of the vasculature was better for VIBE than CODE images (p = 0.003). The signal-to-noise ratio (SNR) and contrast-to-noise ratio (CNR) were significant greater in VIBE than CODE except for SNRlung and SNRnodule (p < 0.05). CONCLUSIONS Our study showed the potential of CODE and VIBE sequences in the evaluation of localized thoracic abnormalities including solid pulmonary nodules.
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Affiliation(s)
- So Hyeon Bak
- Department of Radiology and Center for Imaging Science, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Republic of Korea
- Department of Radiology and Research Institute of Radiology, University of Ulsan College of Medicine, Asan Medical Center, Seoul, Republic of Korea
| | - Jinil Park
- Department of Intelligent Precision Healthcare Convergence, Sungkyunkwan University, Suwon, Republic of Korea
| | - Seokwon Lee
- Department of Biomedical Engineering, Sungkyunkwan University, Suwon, Republic of Korea
| | - Jong Hee Kim
- Department of Radiology and Center for Imaging Science, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Republic of Korea
| | - Ho Yun Lee
- Department of Radiology and Center for Imaging Science, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Republic of Korea
- Department of Health Sciences and Technology, Samsung Advanced Institute for Health Sciences & Technology (SAIHST), Sungkyunkwan University, Seoul, Korea
| | - Jang-Yeon Park
- Department of Intelligent Precision Healthcare Convergence, Sungkyunkwan University, Suwon, Republic of Korea
- Department of Biomedical Engineering, Sungkyunkwan University, Suwon, Republic of Korea
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Yang X, Yu P, Sun H, Deng M, Liu A, Li C, Meng W, Xu W, Xie B, Geng J, Ren Y, Zhang R, Liu M, Dai H. Assessment of lung deformation in patients with idiopathic pulmonary fibrosis with elastic registration technique on pulmonary three-dimensional ultrashort echo time MRI. Insights Imaging 2024; 15:17. [PMID: 38253739 PMCID: PMC10803694 DOI: 10.1186/s13244-023-01555-x] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/04/2023] [Accepted: 10/28/2023] [Indexed: 01/24/2024] Open
Abstract
OBJECTIVE To assess lung deformation in patients with idiopathic pulmonary fibrosis (IPF) using with elastic registration algorithm applied to three-dimensional ultrashort echo time (3D-UTE) MRI and analyze relationship of lung deformation with the severity of IPF. METHODS Seventy-six patients with IPF (mean age: 62 ± 6 years) and 62 age- and gender-matched healthy controls (mean age: 58 ± 4 years) were prospectively enrolled. End-inspiration and end-expiration images acquired with a single breath-hold 3D-UTE sequence were registered using elastic registration algorithm. Jacobian determinants were calculated from deformation fields and represented on color maps. Jac-mean (absolute value of the log means of Jacobian determinants) and the Dice similarity coefficient (Dice) were compared between different groups. RESULTS Compared with healthy controls, the Jac-mean of IPF patients significantly decreased (0.21 ± 0.08 vs. 0.27 ± 0. 07, p < 0.001). Furthermore, the Jac-mean and Dice correlated with the metrics of pulmonary function tests and the composite physiological index. The lung deformation in IPF patients with dyspnea Medical Research Council (MRC) ≥ 3 (Jac-mean: 0.16 ± 0.03; Dice: 0.06 ± 0.02) was significantly lower than MRC1 (Jac-mean: 0. 25 ± 0.03, p < 0.001; Dice: 0.10 ± 0.01, p < 0.001) and MRC 2 (Jac-mean: 0.22 ± 0.11, p = 0.001; Dice: 0.08 ± 0.03, p = 0.006). Meanwhile, Jac-mean and Dice correlated with health-related quality of life, 6 min-walk distance, and the extent of pulmonary fibrosis. Jac-mean correlated with pulmonary vascular-related indexes on high-resolution CT. CONCLUSION The decreased lung deformation in IPF patients correlated with the clinical severity of IPF patients. Elastic registration of inspiratory-to-expiratory 3D UTE MRI may be a new morphological and functional marker for non-radiation and noninvasive evaluation of IPF. CRITICAL RELEVANCE STATEMENT This prospective study demonstrated that lung deformation decreased in idiopathic pulmonary fibrosis (IPF) patients and correlated with the severity of IPF. Elastic registration of inspiratory-to-expiratory three-dimensional ultrashort echo time (3D UTE) MRI may be a new morphological and functional marker for non-radiation and noninvasive evaluation of IPF. KEY POINTS • Elastic registration of inspiratory-to-expiratory three-dimensional ultrashort echo time (3D UTE) MRI could evaluate lung deformation. • Lung deformation significantly decreased in idiopathic pulmonary fibrosis (IPF) patients, compared with the healthy controls. • Reduced lung deformation of IPF patients correlated with worsened pulmonary function and the composite physiological index (CPI).
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Affiliation(s)
- Xiaoyan Yang
- Department of Pulmonary and Critical Care Medicine, General Hospital of Ningxia Medical University, Yinchuan, 750004, Ningxia, China
- National Center for Respiratory Medicine, National Clinical Research Center for Respiratory Diseases, Institute of Respiratory Medicine, Chinese Academy of Medical Sciences, Department of Pulmonary and Critical Care Medicine, Center of Respiratory Medicine, China-Japan Friendship Hospital, 2 Yinghua Dong Street, Hepingli, Chao Yang District, Beijing, 100029, China
| | - Pengxin Yu
- Institute of Advanced Research, Infervision Medical Technology Co., Ltd, Beijing, 100025, China
| | - Haishuang Sun
- National Center for Respiratory Medicine, National Clinical Research Center for Respiratory Diseases, Institute of Respiratory Medicine, Chinese Academy of Medical Sciences, Department of Pulmonary and Critical Care Medicine, Center of Respiratory Medicine, China-Japan Friendship Hospital, 2 Yinghua Dong Street, Hepingli, Chao Yang District, Beijing, 100029, China
| | - Mei Deng
- Department of Radiology, China-Japan Friendship Hospital, 2 Yinghua Dong Street, Hepingli, Chao Yang District, Beijing, 100029, China
| | - Anqi Liu
- Department of Radiology, China-Japan Friendship Hospital, 2 Yinghua Dong Street, Hepingli, Chao Yang District, Beijing, 100029, China
| | - Chen Li
- National Center for Respiratory Medicine, National Clinical Research Center for Respiratory Diseases, Institute of Respiratory Medicine, Chinese Academy of Medical Sciences, Department of Pulmonary and Critical Care Medicine, Center of Respiratory Medicine, China-Japan Friendship Hospital, 2 Yinghua Dong Street, Hepingli, Chao Yang District, Beijing, 100029, China
| | - Wenyan Meng
- National Center for Respiratory Medicine, National Clinical Research Center for Respiratory Diseases, Institute of Respiratory Medicine, Chinese Academy of Medical Sciences, Department of Pulmonary and Critical Care Medicine, Center of Respiratory Medicine, China-Japan Friendship Hospital, 2 Yinghua Dong Street, Hepingli, Chao Yang District, Beijing, 100029, China
| | - Wenxiu Xu
- National Center for Respiratory Medicine, National Clinical Research Center for Respiratory Diseases, Institute of Respiratory Medicine, Chinese Academy of Medical Sciences, Department of Pulmonary and Critical Care Medicine, Center of Respiratory Medicine, China-Japan Friendship Hospital, 2 Yinghua Dong Street, Hepingli, Chao Yang District, Beijing, 100029, China
| | - Bingbing Xie
- National Center for Respiratory Medicine, National Clinical Research Center for Respiratory Diseases, Institute of Respiratory Medicine, Chinese Academy of Medical Sciences, Department of Pulmonary and Critical Care Medicine, Center of Respiratory Medicine, China-Japan Friendship Hospital, 2 Yinghua Dong Street, Hepingli, Chao Yang District, Beijing, 100029, China
| | - Jing Geng
- National Center for Respiratory Medicine, National Clinical Research Center for Respiratory Diseases, Institute of Respiratory Medicine, Chinese Academy of Medical Sciences, Department of Pulmonary and Critical Care Medicine, Center of Respiratory Medicine, China-Japan Friendship Hospital, 2 Yinghua Dong Street, Hepingli, Chao Yang District, Beijing, 100029, China
| | - Yanhong Ren
- National Center for Respiratory Medicine, National Clinical Research Center for Respiratory Diseases, Institute of Respiratory Medicine, Chinese Academy of Medical Sciences, Department of Pulmonary and Critical Care Medicine, Center of Respiratory Medicine, China-Japan Friendship Hospital, 2 Yinghua Dong Street, Hepingli, Chao Yang District, Beijing, 100029, China
| | - Rongguo Zhang
- Institute of Advanced Research, Infervision Medical Technology Co., Ltd, Beijing, 100025, China
| | - Min Liu
- Department of Radiology, China-Japan Friendship Hospital, 2 Yinghua Dong Street, Hepingli, Chao Yang District, Beijing, 100029, China.
| | - Huaping Dai
- Department of Pulmonary and Critical Care Medicine, General Hospital of Ningxia Medical University, Yinchuan, 750004, Ningxia, China.
- National Center for Respiratory Medicine, National Clinical Research Center for Respiratory Diseases, Institute of Respiratory Medicine, Chinese Academy of Medical Sciences, Department of Pulmonary and Critical Care Medicine, Center of Respiratory Medicine, China-Japan Friendship Hospital, 2 Yinghua Dong Street, Hepingli, Chao Yang District, Beijing, 100029, China.
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Meng N, Feng P, Yu X, Wu Y, Fu F, Li Z, Luo Y, Tan H, Yuan J, Yang Y, Wang Z, Wang M. An [ 18F]FDG PET/3D-ultrashort echo time MRI-based radiomics model established by machine learning facilitates preoperative assessment of lymph node status in non-small cell lung cancer. Eur Radiol 2024; 34:318-329. [PMID: 37530809 DOI: 10.1007/s00330-023-09978-2] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/14/2022] [Revised: 04/09/2023] [Accepted: 04/21/2023] [Indexed: 08/03/2023]
Abstract
OBJECTIVES To develop an [18F]FDG PET/3D-UTE model based on clinical factors, three-dimensional ultrashort echo time (3D-UTE), and PET radiomics features via machine learning for the assessment of lymph node (LN) status in non-small cell lung cancer (NSCLC). METHODS A total of 145 NSCLC patients (training, 101 cases; test, 44 cases) underwent whole-body [18F]FDG PET/CT and chest [18F]FDG PET/MRI were enrolled. Preoperative clinical factors and 3D-UTE, CT, and PET radiomics features were analyzed. The Mann-Whitney U test, LASSO regression, and SelectKBest were used for feature extraction. Five machine learning algorithms were used to establish prediction models, which were evaluated by the area under receiver-operator characteristic (ROC), DeLong test, calibration curves, and decision curve analysis (DCA). RESULTS A prediction model based on random forest, consisting of four clinical factors, six 3D-UTE, and six PET radiomics features, was used as the final model for PET/3D-UTE. The AUCs of this model were 0.912 and 0.791 in the training and test sets, respectively, which not only showed different degrees of improvement over individual models such as clinical, 3D-UTE, and PET (AUC-training = 0.838, 0.834, and 0.828, AUC-test = 0.756, 0.745, and 0.768, respectively) but also achieved the similar diagnostic efficacy as the optimal PET/CT model (AUC-training = 0.890, AUC-test = 0.793). The calibration curves and DCA indicated good consistency (C-index, 0.912) and clinical utility of this model, respectively. CONCLUSION The [18F]FDG PET/3D-UTE model based on clinical factors, 3D-UTE, and PET radiomics features using machine learning methods could noninvasively assess the LN status of NSCLC. CLINICAL RELEVANCE STATEMENT A machine learning model of 18F-fluorodeoxyglucose positron emission tomography/ three-dimensional ultrashort echo time could noninvasively assess the lymph node status of non-small cell lung cancer, which provides a novel method with less radiation burden for clinical practice. KEY POINTS • The 3D-UTE radiomics model using the PLS-DA classifier was significantly associated with LN status in NSCLC and has similar diagnostic performance as the clinical, CT, and PET models. • The [18F]FDG PET/3D-UTE model based on clinical factors, 3D-UTE, and PET radiomics features using the RF classifier could noninvasively assess the LN status of NSCLC and showed improved diagnostic performance compared to the clinical, 3D-UTE, and PET models. • In the assessment of LN status in NSCLC, the [18F]FDG PET/3D-UTE model has similar diagnostic efficacy as the [18F]FDG PET/CT model that incorporates clinical factors and CT and PET radiomics features.
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Affiliation(s)
- Nan Meng
- Department of Medical Imaging, Henan Provincial People's Hospital & Zhengzhou University People's Hospital, 7 Weiwu Road, Zhengzhou, 450000, China
- Laboratory of Brain Science and Brain-Like Intelligence Technology, Biomedical Research Institute, Henan Academy of Science, Zhengzhou, China
- Academy of Medical Sciences, Zhengzhou University, Zhengzhou, China
| | - Pengyang Feng
- Department of Medical Imaging, Henan Provincial People's Hospital & Zhengzhou University People's Hospital, 7 Weiwu Road, Zhengzhou, 450000, China
- Department of Medical Imaging, Henan University People's Hospital & Henan Provincial People's Hospital, Zhengzhou, China
| | - Xuan Yu
- Department of Medical Imaging, Henan Provincial People's Hospital & Zhengzhou University People's Hospital, 7 Weiwu Road, Zhengzhou, 450000, China
| | - Yaping Wu
- Department of Medical Imaging, Henan Provincial People's Hospital & Zhengzhou University People's Hospital, 7 Weiwu Road, Zhengzhou, 450000, China
| | - Fangfang Fu
- Department of Medical Imaging, Henan Provincial People's Hospital & Zhengzhou University People's Hospital, 7 Weiwu Road, Zhengzhou, 450000, China
| | - Ziqiang Li
- Department of Medical Imaging, Xinxiang Medical University People's Hospital & Henan Provincial People's Hospital, Zhengzhou, China
| | - Yu Luo
- Department of Medical Imaging, Henan Provincial People's Hospital & Zhengzhou University People's Hospital, 7 Weiwu Road, Zhengzhou, 450000, China
| | - Hongna Tan
- Department of Medical Imaging, Henan Provincial People's Hospital & Zhengzhou University People's Hospital, 7 Weiwu Road, Zhengzhou, 450000, China
| | - Jianmin Yuan
- Central Research Institute, United Imaging Healthcare Group, Shanghai, China
| | - Yang Yang
- Beijing United Imaging Research Institute of Intelligent Imaging, United Imaging Healthcare Group, Beijing, China
| | - Zhe Wang
- Central Research Institute, United Imaging Healthcare Group, Shanghai, China
| | - Meiyun Wang
- Department of Medical Imaging, Henan Provincial People's Hospital & Zhengzhou University People's Hospital, 7 Weiwu Road, Zhengzhou, 450000, China.
- Laboratory of Brain Science and Brain-Like Intelligence Technology, Biomedical Research Institute, Henan Academy of Science, Zhengzhou, China.
- Academy of Medical Sciences, Zhengzhou University, Zhengzhou, China.
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Sun Y, Chen Y, Li X, Liao Y, Chen X, Song Y, Liang X, Dai Y, Chen D, Ning G. Three-dimensional ultrashort echo time magnetic resonance imaging in pediatric patients with pneumonia: a comparative study. BMC Med Imaging 2023; 23:175. [PMID: 37919642 PMCID: PMC10621158 DOI: 10.1186/s12880-023-01130-2] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/11/2023] [Accepted: 10/19/2023] [Indexed: 11/04/2023] Open
Abstract
BACKGROUND UTE has been used to depict lung parenchyma. However, the insufficient discussion of its performance in pediatric pneumonia compared with conventional sequences is a gap in the existing literature. The objective of this study was to compare the diagnostic value of 3D-UTE with that of 3D T1-GRE and T2-FSE sequences in young children diagnosed with pneumonia. METHODS Seventy-seven eligible pediatric patients diagnosed with pneumonia at our hospital, ranging in age from one day to thirty-five months, were enrolled in this study from March 2021 to August 2021. All patients underwent imaging using a 3 T pediatric MR scanner, which included three sequences: 3D-UTE, 3D-T1 GRE, and T2-FSE. Subjective analyses were performed by two experienced pediatric radiologists based on a 5-point scale according to six pathological findings (patchy shadows/ground-glass opacity (GGO), consolidation, nodule, bulla/cyst, linear opacity, and pleural effusion/thickening). Additionally, they assessed image quality, including the presence of artifacts, and evaluated the lung parenchyma. Interrater agreement was assessed using intraclass correlation coefficients (ICCs). Differences among the three sequences were evaluated using the Wilcoxon signed-rank test. RESULTS The visualization of pathologies in most parameters (patchy shadows/GGO, consolidation, nodule, and bulla/cyst) was superior with UTE compared to T2-FSE and T1 GRE. The visualization scores for linear opacity were similar between UTE and T2-FSE, and both were better than T1-GRE. In the case of pleural effusion/thickening, T2-FSE outperformed the other sequences. However, statistically significant differences between UTE and other sequences were only observed for patchy shadows/GGO and consolidation. The overall image quality was superior or at least comparable with UTE compared to T2-FSE and T1-GRE. Interobserver agreements for all visual assessments were significant and rated "substantial" or "excellent." CONCLUSIONS In conclusion, UTE MRI is a useful and promising method for evaluating pediatric pneumonia, as it provided better or similar visualization of most imaging findings compared with T2-FSE and T1-GRE. We suggest that the UTE MRI is well-suited for pediatric population, especially in younger children with pneumonia who require longitudinal and repeated imaging for clinical care or research and are susceptible to ionizing radiation.
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Affiliation(s)
- Yan Sun
- Department of Radiology, West China Second Hospital, Sichuan University, No.1416, Section 1, Chenglong Road, Chengdu, Sichuan Province, 610066, People's Republic of China
- Key Laboratory of Birth Defects and Related Diseases of Women and Children (Sichuan University), Ministry of Education, Chengdu, Sichuan Province, 610041, People's Republic of China
| | - Yujie Chen
- Department of Radiology, West China Second Hospital, Sichuan University, No.1416, Section 1, Chenglong Road, Chengdu, Sichuan Province, 610066, People's Republic of China
- Key Laboratory of Birth Defects and Related Diseases of Women and Children (Sichuan University), Ministry of Education, Chengdu, Sichuan Province, 610041, People's Republic of China
| | - Xuesheng Li
- Department of Radiology, West China Second Hospital, Sichuan University, No.1416, Section 1, Chenglong Road, Chengdu, Sichuan Province, 610066, People's Republic of China
- Key Laboratory of Birth Defects and Related Diseases of Women and Children (Sichuan University), Ministry of Education, Chengdu, Sichuan Province, 610041, People's Republic of China
| | - Yi Liao
- Department of Radiology, West China Second Hospital, Sichuan University, No.1416, Section 1, Chenglong Road, Chengdu, Sichuan Province, 610066, People's Republic of China
- Key Laboratory of Birth Defects and Related Diseases of Women and Children (Sichuan University), Ministry of Education, Chengdu, Sichuan Province, 610041, People's Republic of China
| | - Xijian Chen
- Department of Radiology, West China Second Hospital, Sichuan University, No.1416, Section 1, Chenglong Road, Chengdu, Sichuan Province, 610066, People's Republic of China
- Key Laboratory of Birth Defects and Related Diseases of Women and Children (Sichuan University), Ministry of Education, Chengdu, Sichuan Province, 610041, People's Republic of China
| | - Yu Song
- Department of Radiology, West China Second Hospital, Sichuan University, No.1416, Section 1, Chenglong Road, Chengdu, Sichuan Province, 610066, People's Republic of China
- Key Laboratory of Birth Defects and Related Diseases of Women and Children (Sichuan University), Ministry of Education, Chengdu, Sichuan Province, 610041, People's Republic of China
| | - Xinyue Liang
- Central Research Institute, United Imaging Healthcare, Shanghai, People's Republic of China
| | - Yongming Dai
- Central Research Institute, United Imaging Healthcare, Shanghai, People's Republic of China
| | - Dapeng Chen
- Key Laboratory of Birth Defects and Related Diseases of Women and Children (Sichuan University), Ministry of Education, Chengdu, Sichuan Province, 610041, People's Republic of China
- Department of Pediatrics, West China Second Hospital, Sichuan University, No.1416, Section 1, Chenglong Road, Chengdu, Sichuan Province, 610066, People's Republic of China
| | - Gang Ning
- Department of Radiology, West China Second Hospital, Sichuan University, No.1416, Section 1, Chenglong Road, Chengdu, Sichuan Province, 610066, People's Republic of China.
- Key Laboratory of Birth Defects and Related Diseases of Women and Children (Sichuan University), Ministry of Education, Chengdu, Sichuan Province, 610041, People's Republic of China.
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8
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Sodhi KS, Bhatia A, Rana P, Mathew JL. Impact of Radial Percentage K-Space Filling and Signal Averaging on Native Lung MRI Image Quality in 3D Radial UTE Acquisition: A Pilot Study. Acad Radiol 2023; 30:2557-2565. [PMID: 36931950 DOI: 10.1016/j.acra.2023.01.029] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/22/2022] [Revised: 01/08/2023] [Accepted: 01/23/2023] [Indexed: 03/18/2023]
Abstract
RATIONALE AND OBJECTIVE To assess the impact of radial percentage k-space filling and signal averaging on lung MRI image quality in 3D radial ultrashort echo-time (UTE) acquisition. MATERIALS AND METHODS In this IRB approved prospective study, 25 patients (10-30 years) referred for MRI examination for indications other than related to lungs were enrolled from January 2021 to November 2021. All the patients underwent lung MRI, using three different UTE sequence parameters with radial (R) percentage of 100 or 200 and number of signal averages (NSA) of one or two. Two radiologists independently assessed the images for the outline of pleural and mediastinal surface, visibility of lung parenchyma, major bronchi, and segmental bronchi. The quality of the images was assessed based on the degree of motion artifacts. For objective assessment, signal-to-noise ratio, contrast-to-noise ratio, and contrast ratio were calculated. RESULTS The outline of pleural and mediastinal surface, lung parenchyma, and segmental bronchi were best demonstrated on R100_NSA2 sequence. The major bronchi were best demonstrated on R100_NSA2 and R100_NSA1 sequences. The intersequence difference was statistically significant for evaluating the pleural and mediastinal surface and segmental bronchi only (p < 0.05). Overall, the best image quality with least artifacts was seen with R100_NSA2 sequence. The objective assessment showed no statistically significant difference between the three sequences (p > 0.05). Interobserver agreement for different findings was substantial to almost perfect for R100_NSA2 and R200_NSA1 sequences. CONCLUSION R100_NSA2 UTE sequence performed best for the evaluation of the different findings and showed the best image quality.
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Affiliation(s)
- Kushaljit Singh Sodhi
- Mallinckrodt Institute of Radiology, Washington University in St. Louis School of Medicine, St.Louis, Missouri, USA; Department of Radiodiagnosis and Imaging, Post Graduate Institute of Medical Education and Research (PGIMER), Chandigarh, India.
| | - Anmol Bhatia
- Department of Radiodiagnosis and Imaging, Post Graduate Institute of Medical Education and Research (PGIMER), Chandigarh, India
| | - Pratyaksha Rana
- Department of Radiodiagnosis and Imaging, Post Graduate Institute of Medical Education and Research (PGIMER), Chandigarh, India
| | - Joseph L Mathew
- Department of Pediatrics, Post Graduate Institute of Medical Education and Research (PGIMER), Chandigarh, India
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9
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Duan J, Xie S, Sun H, An J, Li H, Li L, Grimm R, Voskrebenzev A, Vogel-Claussen J. Diagnostic accuracy of perfusion-weighted phase-resolved functional lung magnetic resonance imaging in patients with chronic pulmonary embolism. Front Med (Lausanne) 2023; 10:1256925. [PMID: 37822465 PMCID: PMC10562573 DOI: 10.3389/fmed.2023.1256925] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/11/2023] [Accepted: 09/11/2023] [Indexed: 10/13/2023] Open
Abstract
Purpose This study aimed to evaluate the diagnostic performance of perfusion-weighted phase-resolved functional lung (PW-PREFUL) magnetic resonance imaging (MRI) in patients with chronic pulmonary embolism (CPE). Materials and methods This study included 86 patients with suspected chronic thromboembolic pulmonary hypertension (CTEPH), who underwent PREFUL MRI and ventilation/perfusion (V/Q) single-photon emission computed tomography/computed tomography (SPECT/CT). PREFUL MRI was performed at 1.5 T using a balanced steady-state free precession sequence during free breathing. Color-coded PW images and quantitative parameters were obtained by postprocessing. Meanwhile, V/Q SPECT/CT imaging was performed as a reference standard. Hypoperfused areas in the lungs were scored for each lobe and segment using V/Q SPECT/CT images and PW-PREFUL MR images, respectively. Normalized perfusion (QN) and perfusion defect percentage (QDP) were calculated for all slices. For intra- and interobserver variability, the MRI images were analyzed 2 months after the first analysis by the same radiologist and another radiologist (11 years of lung MRI experience) blinded to the results of the first reader. Results Of the 86 enrolled patients, 77 met the inclusion criteria (36 diagnosed with CPE using V/Q SPECT/CT and 41 diagnosed with non-CPE etiology). For the PW-PREFUL MRI, the sensitivity, specificity, accuracy, and positive and negative predictive values for the diagnosis of CPE were 97, 95, 96, 95, and 98% at the patient level; 91, 94, 93, 91, and 94% at the lobe level, and 85, 94, 92, 88, and 94% at the segment level, respectively. The detection of segmental and subsegmental hypoperfusion using PW-PREFUL MRI revealed a moderate agreement with V/Q SPECT/CT (κ = 0.65; 95% confidence interval: 0.61-0.68). The quantitative results indicated that the QN was lower in the CPE group than in the non-CPE group [median score (interquartile range, IQR) 6.3 (2.8-9.2) vs. 13.0 (8.8-16.7), p < 0.001], and the QDP was higher [median score (IQR) 33.8 (15.7-51.7) vs. 2.2 (1.4-2.9), p < 0.001]. Conclusion PREFUL MRI could be an alternative test to detect CPE without requiring breath-hold, contrast agents, or ionizing radiation.
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Affiliation(s)
- Jianghui Duan
- Department of Radiology, Peking University China-Japan Friendship School of Clinical Medicine, Beijing, China
| | - Sheng Xie
- Department of Radiology, Peking University China-Japan Friendship School of Clinical Medicine, Beijing, China
| | - Hongliang Sun
- Department of Radiology, China-Japan Friendship Hospital, Beijing, China
| | - Jing An
- DL Department, Siemens Shenzhen Magnetic Resonance Ltd., Shenzhen, China
| | - Huan Li
- Department of Nuclear Medicine, China-Japan Friendship Hospital, Beijing, China
| | - Ling Li
- Department of Nuclear Medicine, China-Japan Friendship Hospital, Beijing, China
| | - Robert Grimm
- MR Application Predevelopment, Siemens Healthcare GmbH, Erlangen, Germany
| | - Andreas Voskrebenzev
- Diagnostic and Interventional Radiology, Hannover Medical School, Hannover, Germany
| | - Jens Vogel-Claussen
- Diagnostic and Interventional Radiology, Hannover Medical School, Hannover, Germany
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10
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Zanette B, Greer MLC, Moraes TJ, Ratjen F, Santyr G. The argument for utilising magnetic resonance imaging as a tool for monitoring lung structure and function in pediatric patients. Expert Rev Respir Med 2023; 17:527-538. [PMID: 37491192 DOI: 10.1080/17476348.2023.2241355] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/03/2023] [Revised: 07/06/2023] [Accepted: 07/24/2023] [Indexed: 07/27/2023]
Abstract
INTRODUCTION Although historically challenging to perform in the lung, technological advancements have made Magnetic Resonance Imaging (MRI) increasingly applicable for pediatric pulmonary imaging. Furthermore, a wide array of functional imaging techniques has become available that may be leveraged alongside structural imaging for increasingly sensitive biomarkers, or as outcome measures in the evaluation of novel therapies. AREAS COVERED In this review, recent technical advancements and modern methodologies for structural and functional lung MRI are described. These include ultrashort echo time (UTE) MRI, free-breathing contrast agent-free, functional lung MRI, and hyperpolarized gas MRI, amongst other techniques. Specific examples of the application of these methods in children are provided, principally drawn from recent research in asthma, bronchopulmonary dysplasia, and cystic fibrosis. EXPERT OPINION Pediatric lung MRI is rapidly growing, and is well poised for clinical utilization, as well as continued research into early disease detection, disease processes, and novel treatments. Structure/function complementarity makes MRI especially attractive as a tool for increased adoption in the evaluation of pediatric lung disease. Looking toward the future, novel technologies, such as low-field MRI and artificial intelligence, mitigate some of the traditional drawbacks of lung MRI and will aid in improving access to MRI in general, potentially spurring increased adoption and demand for pulmonary MRI in children.
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Affiliation(s)
- Brandon Zanette
- Translational Medicine Program, The Hospital for Sick Children, Toronto, ON, Canada
| | - Mary-Louise C Greer
- Department of Diagnostic Imaging, The Hospital for Sick Children, Toronto, ON, Canada
- Department of Medical Imaging, University of Toronto, Toronto, ON, Canada
| | - Theo J Moraes
- Translational Medicine Program, The Hospital for Sick Children, Toronto, ON, Canada
- Department of Pediatrics, Hospital for Sick Children, Toronto, ON, Canada
| | - Felix Ratjen
- Translational Medicine Program, The Hospital for Sick Children, Toronto, ON, Canada
- Division of Respiratory Medicine, The Hospital for Sick Children, Toronto, ON, Canada
| | - Giles Santyr
- Translational Medicine Program, The Hospital for Sick Children, Toronto, ON, Canada
- Department of Medical Biophysics, University of Toronto, Toronto, ON, Canada
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11
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Sansone F, Pellegrino GM, Caronni A, Bonazza F, Vegni E, Lué A, Bocci T, Pipolo C, Giusti G, Di Filippo P, Di Pillo S, Chiarelli F, Sferrazza Papa GF, Attanasi M. Long COVID in Children: A Multidisciplinary Review. Diagnostics (Basel) 2023; 13:1990. [PMID: 37370884 DOI: 10.3390/diagnostics13121990] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/09/2023] [Revised: 06/01/2023] [Accepted: 06/01/2023] [Indexed: 06/29/2023] Open
Abstract
Long COVID syndrome has emerged as a long-lasting consequence of acute SARS-CoV-2 infection in adults. In addition, children may be affected by Long COVID, with potential clinical issues in different fields, including problems in school performance and daily activities. Yet, the pathophysiologic bases of Long COVID in children are largely unknown, and it is difficult to predict who will develop the syndrome. In this multidisciplinary clinical review, we summarise the latest scientific data regarding Long COVID and its impact on children. Special attention is given to diagnostic tests, in order to help the physicians to find potential disease markers and quantify impairment. Specifically, we assess the respiratory, upper airways, cardiac, neurologic and motor and psychological aspects. Finally, we also propose a multidisciplinary clinical approach.
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Affiliation(s)
| | | | - Antonio Caronni
- Department of Neurorehabilitation Sciences, IRCCS Istituto Auxologico Italiano, Ospedale San Luca, 20122 Milan, Italy
- Department of Biomedical Sciences for Health, Università degli Studi di Milano, 20133 Milan, Italy
| | - Federica Bonazza
- Department of Health Sciences, Clinical Psychology, University of Milan, Via di Rudinì 8, 20142 Milan, Italy
| | - Elena Vegni
- Department of Health Sciences, Clinical Psychology, University of Milan, Via di Rudinì 8, 20142 Milan, Italy
- Unit of Clinical Psychology, San Paolo Hospital, ASST Santi Paolo e Carlo, Via di Rudinì 8, 20142 Milan, Italy
| | - Alberto Lué
- Service of Digestive Diseases, University Clinic Hospital Lozano Blesa, IIS Aragón, 50009 Zaragoza, Spain
| | - Tommaso Bocci
- Department of Health Sciences, University of Milan, 20146 Milan, Italy
- Clinical Neurology Unit, Department of Health Sciences, "Azienda Socio-Sanitaria Territoriale Santi Paolo e Carlo", University of Milan, 20146 Milan, Italy
| | - Carlotta Pipolo
- Department of Health Sciences, Otorhinolaryngology Department, ASST Santi Paolo e Carlo, University of Milan, 20142 Milan, Italy
| | - Giuliano Giusti
- Paediatric Cardiology Unit, Niguarda Hospital, 20162 Milan, Italy
| | - Paola Di Filippo
- Paediatric Allergy and Pulmonology Unit, Department of Paediatrics, University of Chieti-Pescara, 66100 Chieti, Italy
| | - Sabrina Di Pillo
- Paediatric Allergy and Pulmonology Unit, Department of Paediatrics, University of Chieti-Pescara, 66100 Chieti, Italy
| | - Francesco Chiarelli
- Paediatric Allergy and Pulmonology Unit, Department of Paediatrics, University of Chieti-Pescara, 66100 Chieti, Italy
| | | | - Marina Attanasi
- Paediatric Allergy and Pulmonology Unit, Department of Paediatrics, University of Chieti-Pescara, 66100 Chieti, Italy
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12
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Kellenberger CJ, Lovrenski J, Semple T, Caro-Domínguez P. Neonatal cardiorespiratory imaging-a multimodality state-of-the-art review. Pediatr Radiol 2023; 53:660-676. [PMID: 36138217 DOI: 10.1007/s00247-022-05504-6] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/20/2022] [Revised: 07/02/2022] [Accepted: 09/01/2022] [Indexed: 10/14/2022]
Abstract
Advanced cardiorespiratory imaging of the chest with ultrasound (US), computed tomography (CT) and magnetic resonance imaging (MRI) plays an important role in diagnosing respiratory and cardiac conditions in neonates when radiography and echocardiography alone are not sufficient. This pictorial essay highlights the particularities, clinical indications and technical aspects of applying chest US, cardiac CT and cardiorespiratory MRI techniques specifically to neonates, summarising the first session of the European Society of Paediatric Radiology's cardiothoracic task force.
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Affiliation(s)
- Christian J Kellenberger
- Department of Diagnostic Imaging, University Children's Hospital Zürich, Zurich, Switzerland
- Children's Research Centre, University Children's Hospital Zürich, Zurich, Switzerland
| | - Jovan Lovrenski
- Radiology Department, Faculty of Medicine, University of Novi Sad and Institute for Children and Adolescents Health Care of Vojvodina, Novi Sad, Serbia
| | - Thomas Semple
- Radiology Department, Royal Brompton Hospital, London, UK
- National Heart and Lung Institute, Imperial College London, London, UK
- Centre for Paediatrics and Child Health, Imperial College London, London, UK
| | - Pablo Caro-Domínguez
- Pediatric Radiology Unit, Radiology Department, Hospital Universitario Virgen del Rocío, Avenida Manuel Siurot s/n, Seville, Spain.
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13
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Padwal J, Baratto L, Chakraborty A, Hawk K, Spunt S, Avedian R, Daldrup-Link HE. PET/MR of pediatric bone tumors: what the radiologist needs to know. Skeletal Radiol 2023; 52:315-328. [PMID: 35804163 PMCID: PMC9826799 DOI: 10.1007/s00256-022-04113-6] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/27/2022] [Revised: 06/11/2022] [Accepted: 06/29/2022] [Indexed: 02/02/2023]
Abstract
Integrated 2-deoxy-2-[fluorine-18]fluoro-D-glucose (18F-FDG) positron emission tomography (PET)/magnetic resonance (MR) imaging can provide "one stop" local tumor and whole-body staging in one session, thereby streamlining imaging evaluations and avoiding duplicate anesthesia in young children. 18F-FDG PET/MR scans have the benefit of lower radiation, superior soft tissue contrast, and increased patient convenience compared to 18F-FDG PET/computerized tomography scans. This article reviews the 18F-FDG PET/MR imaging technique, reporting requirements, and imaging characteristics of the most common pediatric bone tumors, including osteosarcoma, Ewing sarcoma, primary bone lymphoma, bone and bone marrow metastases, and Langerhans cell histiocytosis.
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Affiliation(s)
- Jennifer Padwal
- Department of Radiology, Stanford University, Stanford, CA, 94305, USA
| | - Lucia Baratto
- Department of Radiology, Stanford University, Stanford, CA, 94305, USA
| | - Amit Chakraborty
- Department of Radiology, Massachusetts General Hospital, Boston, MA, 02114, USA
| | - Kristina Hawk
- Department of Radiology, Stanford University, Stanford, CA, 94305, USA
| | - Sheri Spunt
- Department of Pediatrics, Stanford University, 725 Welch Rd., Rm. 1665, Stanford, CA, 94305-5614, USA
| | - Raffi Avedian
- Department of Surgery, Division of Pediatric Orthopedic Surgery, Lucile Packard Children's Hospital, Stanford University, Stanford, CA, 94305, USA
| | - Heike E Daldrup-Link
- Department of Radiology, Stanford University, Stanford, CA, 94305, USA.
- Cancer Imaging Program, Stanford Cancer Institute, Stanford, USA.
- Department of Pediatrics, Stanford University, 725 Welch Rd., Rm. 1665, Stanford, CA, 94305-5614, USA.
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14
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King A, Olutoye OO, Lee TC, Keswani SG. Surgical Management of Congenital Lung Malformations. Neoreviews 2023; 24:e84-e96. [PMID: 36720690 DOI: 10.1542/neo.24-2-e84] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/02/2023]
Abstract
Congenital lung malformations (CLMs) are commonly diagnosed prenatal lesions with varied natural history. Prenatal diagnosis and monitoring help to guide fetal interventions, delivery planning, and need for urgent perinatal surgical interventions. All prenatally diagnosed CLMs should be evaluated postnatally, typically with cross-sectional imaging, because many lesions persist despite the appearance of complete 'regression' in utero. Management of CLMs in asymptomatic infants weighs the surgical and anesthetic risk of prophylactic resection against the risk of expectant management, including the possibility of infection, malignant degeneration, and more complicated surgical resection later with loss of compensatory lung growth.
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Affiliation(s)
- Alice King
- Michael E. DeBakey Department of Surgery, Baylor College of Medicine, Houston, TX.,Texas Children's Fetal Center, Baylor College of Medicine, Houston, TX.,Division of Pediatric Surgery, Department of Surgery, Texas Children's Hospital, Houston, TX
| | - Oluyinka O Olutoye
- Michael E. DeBakey Department of Surgery, Baylor College of Medicine, Houston, TX
| | - Timothy C Lee
- Michael E. DeBakey Department of Surgery, Baylor College of Medicine, Houston, TX.,Texas Children's Fetal Center, Baylor College of Medicine, Houston, TX.,Division of Pediatric Surgery, Department of Surgery, Texas Children's Hospital, Houston, TX
| | - Sundeep G Keswani
- Michael E. DeBakey Department of Surgery, Baylor College of Medicine, Houston, TX.,Texas Children's Fetal Center, Baylor College of Medicine, Houston, TX.,Division of Pediatric Surgery, Department of Surgery, Texas Children's Hospital, Houston, TX
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15
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Hirsch FW, Sorge I, Voit D, Frahm J, Prenzel F, Wachowiak R, Anders R, Roth C, Gräfe D. Chest examinations in children with real-time magnetic resonance imaging: first clinical experience. Pediatr Radiol 2023; 53:12-20. [PMID: 35836015 PMCID: PMC9816257 DOI: 10.1007/s00247-022-05421-8] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/14/2022] [Revised: 05/04/2022] [Accepted: 06/02/2022] [Indexed: 01/24/2023]
Abstract
BACKGROUND Real-time magnetic resonance imaging (MRI) based on a fast low-angle shot technique 2.0 (FLASH 2.0) is highly effective against artifacts caused due to the bulk and pulmonary and cardiac motions of the patient. However, to date, there are no reports on the application of this innovative technique to pediatric lung MRI. OBJECTIVE This study aimed to identify the limits of resolution and image quality of real-time lung MRI in children and to assess the types and minimal size of lesions with these new sequences. MATERIALS AND METHODS In this retrospective study, pathological lung findings in 87 children were classified into 6 subgroups, as detected on conventional MRI: metastases and tumors, consolidation, scars, hyperinflation, interstitial pathology and bronchiectasis. Subsequently, the findings were grouped according to size (4-6 mm, 7-9 mm and ≥ 10 mm) and evaluated for visual delineation of the findings (0 = not visible, 1 = hardly visible and 2 = well visualized). RESULTS Real-time MRI allows for diagnostic, artifact-free thorax images to be obtained, regardless of patient movements. The delineation of findings strongly correlates with the size of the pathology. Metastases, consolidation and scars were visible at 100% when larger than 9 mm. In the 7-9 mm subgroup, the visibility was 83% for metastases, 88% for consolidation and 100% for scars in T2/T1 weighting. Though often visible, smaller pathological lesions of 4-6 mm in size did not regularly meet the expected diagnostic confidence: The visibility of metastases was 18%, consolidation was 64% and scars was 71%. Diffuse interstitial lung changes and hyperinflation, known as "MR-minus pathologies," were not accessible to real-time MRI. CONCLUSION The method provides motion robust images of the lung and thorax. However, the lower sensitivity for small lung lesions is a major limitation for routine use of this technique. Currently, the method is adequate for diagnosing inflammatory lung diseases, atelectasis, effusions and lung scarring in children with irregular breathing patterns or bulk motion on sedation-free MRI. A medium-term goal is to improve the diagnostic accuracy of small nodules and interstitial lesions.
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Affiliation(s)
- Franz Wolfgang Hirsch
- Department of Pediatric Radiology, University Hospital, Liebigstraße 20a, 04107, Leipzig, Germany.
| | - Ina Sorge
- Department of Pediatric Radiology, University Hospital, Liebigstraße 20a, 04107 Leipzig, Germany
| | - Dirk Voit
- Biomedical NMR, Max Planck Institute for Multidisciplinary Sciences, Göttingen, Germany
| | - Jens Frahm
- Biomedical NMR, Max Planck Institute for Multidisciplinary Sciences, Göttingen, Germany
| | - Freerk Prenzel
- Department of Pediatrics, University Hospital, Leipzig, Germany
| | - Robin Wachowiak
- Department of Pediatric Surgery, University Hospital, Leipzig, Germany
| | - Rebecca Anders
- Department of Pediatric Radiology, University Hospital, Liebigstraße 20a, 04107 Leipzig, Germany
| | - Christian Roth
- Department of Pediatric Radiology, University Hospital, Liebigstraße 20a, 04107 Leipzig, Germany
| | - Daniel Gräfe
- Department of Pediatric Radiology, University Hospital, Liebigstraße 20a, 04107 Leipzig, Germany
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16
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Herrmann J, Esser M, Brecht I, Tsiflikas I, Schäfer JF. [Whole-body MRI in cancer predisposition syndromes]. RADIOLOGIE (HEIDELBERG, GERMANY) 2022; 62:1017-1025. [PMID: 36098807 DOI: 10.1007/s00117-022-01067-7] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Accepted: 08/18/2022] [Indexed: 06/15/2023]
Abstract
BACKGROUND In recent decades, whole-body magnetic resonance imaging (WB-MRI) has become established as the modality of choice for the diagnosis, staging, and follow-up of oncological diseases as well as for the screening of cancer predisposition syndromes, such as Li-Fraumeni syndrome. METHODS As a comprehensive imaging modality without ionizing radiation, WB-MRI can be used repetitively and because of its excellent soft tissue contrast and high resolution provides early and precise detection of pathologies. This article discusses the technical requirements, some examination strategies and the clinical significance of typical findings of WB-MRI in patients with cancer predisposition syndromes.
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Affiliation(s)
- Judith Herrmann
- Abteilung für Diagnostische und Interventionelle Radiologie, Universitätsklinikum Tübingen, Hoppe-Seyler-Str. 3, 72076, Tübingen, Deutschland.
| | - Michael Esser
- Abteilung für Diagnostische und Interventionelle Radiologie, Universitätsklinikum Tübingen, Hoppe-Seyler-Str. 3, 72076, Tübingen, Deutschland
| | - Ines Brecht
- Klinik für Kinder- und Jugendmedizin, Universitätsklinikum Tübingen, Tübingen, Deutschland
| | - Ilias Tsiflikas
- Abteilung für Diagnostische und Interventionelle Radiologie, Universitätsklinikum Tübingen, Hoppe-Seyler-Str. 3, 72076, Tübingen, Deutschland
| | - Jürgen F Schäfer
- Abteilung für Diagnostische und Interventionelle Radiologie, Universitätsklinikum Tübingen, Hoppe-Seyler-Str. 3, 72076, Tübingen, Deutschland
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17
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Yang X, Liu M, Duan J, Sun H, An J, Benkert T, Dai H, Wang C. Three-dimensional ultrashort echo time magnetic resonance imaging in assessment of idiopathic pulmonary fibrosis, in comparison with high-resolution computed tomography. Quant Imaging Med Surg 2022; 12:4176-4189. [PMID: 35919053 PMCID: PMC9338383 DOI: 10.21037/qims-21-1133] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/25/2021] [Accepted: 05/27/2022] [Indexed: 11/20/2022]
Abstract
Background We aimed to evaluate the image quality, feasibility, and diagnostic performance of three-dimensional ultrashort echo time magnetic resonance imaging (3D UTE-MRI) to assess idiopathic pulmonary fibrosis (IPF) compared with high-resolution computed tomography (HRCT) and half-Fourier single-shot turbo spin-echo (HASTE) MRI. Methods A total of 36 patients with IPF (34 men; mean age: 62±8 years, age range: 43 to 78 years) were prospectively included and underwent HRCT and chest MRI on the same day. Chest MRI was performed with a free-breathing 3D spiral UTE pulse sequence and HASTE sequence on a 1.5 T MRI. Two radiologists independently evaluated the image quality of the HRCT, HASTE, and 3D UTE-MRI. They assessed the representative imaging features of IPF, including honeycombing, reticulation, traction bronchiectasis, and ground-glass opacities. Image quality of the 3D UTE-MRI, HASTE, and HRCT were assessed using a 5-point visual scoring method. Kappa and weighted kappa analysis were used to measure intra- and inter-observer and inter-method agreements. Sensitivity (SE), specificity (SP), and accuracy (AC) were used to assess the performance of 3D UTE-MRI for detecting image features of IPF and monitoring the extent of pulmonary fibrosis. Linear regressions and Bland-Altman plots were generated to assess the correlation and agreement between the assessment of the extent of pulmonary fibrosis made by the 2 observers. Results The image quality of HRCT was higher than that of HASTE and UTE-MRI (HRCT vs. UTE-MRI vs. HASTE: 4.9±0.3 vs. 4.1±0.7 vs. 3.0±0.3; P<0.001). Interobserver agreement of HRCT, HASTE, and 3D UTE-MRI when assessing pulmonary fibrosis was substantial and excellent (HRCT: 0.727≤ κ ≤1, P<0.001; HASTE: 0.654≤ κ ≤1, P<0.001; 3D UTE-MRI: 0.719≤ κ ≤0.824, P<0.001). In addition, reticulation (SE: 97.1%; SP: 100%; AC: 97.2%; κ =0.654), honeycombing (SE: 83.3%; SP: 100%; AC: 86.1%; κ =0.625) patterns, and traction bronchiectasis (SE: 94.1%; SP: 100%; AC: 94.4%, κ =0.640) were also well-visualized on 3D UTE-MRI, which was significantly superior to HASTE. Compared with HRCT, the sensitivity of 3D UTE-MRI to detect signs of pulmonary fibrosis (n=35) was 97.2%. The interobserver agreement in elevation of the extent of pulmonary fibrosis with HRCT and 3D UTE-MRI was R2=0.84 (P<0.001) and R2=0.84 (P<0.001), respectively. The extent of pulmonary fibrosis assessed with 3D UTE-MRI [median =9, interquartile range (IQR): 6.25 to 10.00] was lower than that from HRCT (median =12, IQR: 9.25 to 13.00; U=320.00, P<0.001); however, they had a positive correlation (R=0.72, P<0.001). Conclusions As a radiation-free non-contrast enhanced imaging method, although the image quality of 3D UTE-MRI is inferior to that of HRCT, it has high reproducibility to identify the imaging features of IPF and evaluate the extent of pulmonary fibrosis.
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Affiliation(s)
- Xiaoyan Yang
- Department of Pulmonary and Critical Care Medicine, China-Japan Friendship Hospital, Capital Medical University, Beijing, China.,National Center for Respiratory Medicine, Institute of Respiratory Medicine, Chinese Academy of Medical Sciences, National Clinical Research Center for Respiratory Diseases, Beijing, China
| | - Min Liu
- Department of Radiology, China-Japan Friendship Hospital, Beijing, China
| | - Jianghui Duan
- Department of Radiology, China-Japan Friendship Hospital, Beijing, China
| | - Haishuang Sun
- National Center for Respiratory Medicine, Institute of Respiratory Medicine, Chinese Academy of Medical Sciences, National Clinical Research Center for Respiratory Diseases, Beijing, China
| | - Jing An
- Siemens Shenzhen Magnetic Resonance Ltd., Shenzhen, China
| | - Thomas Benkert
- MR Application Predevelopment, Siemens Healthcare GmbH, Erlangen, Germany
| | - Huaping Dai
- Department of Pulmonary and Critical Care Medicine, China-Japan Friendship Hospital, Capital Medical University, Beijing, China.,National Center for Respiratory Medicine, Institute of Respiratory Medicine, Chinese Academy of Medical Sciences, National Clinical Research Center for Respiratory Diseases, Beijing, China
| | - Chen Wang
- Department of Pulmonary and Critical Care Medicine, China-Japan Friendship Hospital, Capital Medical University, Beijing, China.,National Center for Respiratory Medicine, Institute of Respiratory Medicine, Chinese Academy of Medical Sciences, National Clinical Research Center for Respiratory Diseases, Beijing, China.,Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
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18
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Zeimpekis KG, Kellenberger CJ, Geiger J. Assessment of lung density in pediatric patients using three-dimensional ultrashort echo-time and four-dimensional zero echo-time sequences. Jpn J Radiol 2022; 40:722-729. [PMID: 35237890 PMCID: PMC8890957 DOI: 10.1007/s11604-022-01258-1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/10/2021] [Accepted: 02/17/2022] [Indexed: 11/28/2022]
Abstract
Purpose Lung magnetic resonance imaging (MRI) using conventional sequences is limited due to strong signal loss by susceptibility effects of aerated lung. Our aim is to assess lung signal intensity in children on ultrashort echo-time (UTE) and zero echo-time (ZTE) sequences. We hypothesize that lung signal intensity can be correlated to lung physical density. Materials and methods Lung MRI was performed in 17 children with morphologically normal lungs (median age: 4.7 years, range 15 days to 17 years). Both lungs were manually segmented in UTE and ZTE images and the average signal intensities were extracted. Lung-to-background signal ratios (LBR) were compared for both sequences and between both patient groups using non-parametric tests and correlation analysis. Anatomical region-of-interest (ROI) analysis was performed for the normal cohort for assessment of the anteroposterior lung gradient. Results There was no significant difference between LBR of normal lungs using UTE and ZTE (p < 0.05). Both sequences revealed a LBR age-dependency with a high negative correlation for UTE (Rs = – 0.77; range 2.98–1.41) and ZTE (Rs = – 0.82; range 2.66–1.38)). Signal-to-noise (SNR) and contrast-to-noise ratios (CNR) were age-dependent for both sequences. SNR was higher for children up to 2 years old with 3D UTE Cones while for the rest it was higher with 4D ZTE. CNR was similar for both sequences. Posterior lung areas exhibited higher signal intensity compared to anterior ones (UTE 9.4% and ZTE 12% higher), both with high correlation coefficients (R2UTE = 0.94, R2ZTE = 0.97). Conclusion The ZTE sequence can measure signal intensity similarly to UTE in pediatric patients. Both sequences reveal an age- and gravity-dependency of LBR.
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Affiliation(s)
- Konstantinos G Zeimpekis
- Department of Nuclear Medicine, Inselspital, Bern University Hospital, University of Bern, Freiburgstrasse 18, 3010, Bern, Switzerland.
| | - Christian J Kellenberger
- Department of Diagnostic Imaging, University Children's Hospital Zurich, Steinwiesstrasse 75, 8032, Zurich, Switzerland.,Children's Research Center, University Children's Hospital Zurich, Zurich, Switzerland
| | - Julia Geiger
- Department of Diagnostic Imaging, University Children's Hospital Zurich, Steinwiesstrasse 75, 8032, Zurich, Switzerland.,Children's Research Center, University Children's Hospital Zurich, Zurich, Switzerland
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