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Wang X, Cui Y, Wang Y, Liu S, Meng N, Wei W, Bai Y, Shen Y, Guo J, Guo Z, Wang M. Assessment of Lung Nodule Detection and Lung CT Screening Reporting and Data System Classification Using Zero Echo Time Pulmonary MRI. J Magn Reson Imaging 2024. [PMID: 38602245 DOI: 10.1002/jmri.29388] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/28/2023] [Revised: 03/27/2024] [Accepted: 03/28/2024] [Indexed: 04/12/2024] Open
Abstract
BACKGROUND The detection rate of lung nodules has increased considerably with CT as the primary method of examination, and the repeated CT examinations at 3 months, 6 months or annually, based on nodule characteristics, have increased the radiation exposure of patients. So, it is urgent to explore a radiation-free MRI examination method that can effectively address the challenges posed by low proton density and magnetic field inhomogeneities. PURPOSE To evaluate the potential of zero echo time (ZTE) MRI in lung nodule detection and lung CT screening reporting and data system (lung-RADS) classification, and to explore the value of ZTE-MRI in the assessment of lung nodules. STUDY TYPE Prospective. POPULATION 54 patients, including 21 men and 33 women. FIELD STRENGTH/SEQUENCE Chest CT using a 16-slice scanner and ZTE-MRI at 3.0T based on fast gradient echo. ASSESSMENT Nodule type (ground-glass nodules, part-solid nodules, and solid nodules), lung-RADS classification, and nodule diameter (manual measurement) on CT and ZTE-MRI images were recorded. STATISTICAL TESTS The percent of concordant cases, Kappa value, intraclass correlation coefficient (ICC), Wilcoxon signed-rank test, Spearman's correlation, and Bland-Altman. The p-value <0.05 is considered significant. RESULTS A total of 54 patients (age, 54.8 ± 11.9 years; 21 men) with 63 nodules were enrolled. Compared with CT, the total nodule detection rate of ZTE-MRI was 85.7%. The intermodality agreement of ZTE-MRI and CT lung nodules type evaluation was substantial (Kappa = 0.761), and the intermodality agreement of ZTE-MRI and CT lung-RADS classification was moderate (Kappa = 0.592). The diameter measurements between ZTE-MRI and CT showed no significant difference and demonstrated a high degree of interobserver (ICC = 0.997-0.999) and intermodality (ICC = 0.956-0.985) agreements. DATA CONCLUSION The measurement of nodule diameter by pulmonary ZTE-MRI is similar to that by CT, but the ability of lung-RADS to classify nodes from MRI images still requires further research. LEVEL OF EVIDENCE 2 TECHNICAL EFFICACY: Stage 2.
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Affiliation(s)
- Xinhui Wang
- Department of Medical Imaging, Zhengzhou University People's Hospital and Henan Provincial People's Hospital, Zhengzhou, China
| | - Yingying Cui
- Department of Medical Imaging, Zhengzhou University People's Hospital and Henan Provincial People's Hospital, Zhengzhou, China
| | - Ying Wang
- Department of Medical Imaging, Zhengzhou University People's Hospital and Henan Provincial People's Hospital, Zhengzhou, China
| | - Shuo Liu
- Department of Medical Imaging, Xinxiang Medical University and Henan Provincial People's Hospital, Zhengzhou, China
| | - Nan Meng
- Department of Medical Imaging, Zhengzhou University People's Hospital and Henan Provincial People's Hospital, Zhengzhou, China
| | - Wei Wei
- Department of Medical Imaging, Zhengzhou University People's Hospital and Henan Provincial People's Hospital, Zhengzhou, China
| | - Yan Bai
- Department of Medical Imaging, Zhengzhou University People's Hospital and Henan Provincial People's Hospital, Zhengzhou, China
| | - Yu Shen
- Department of Medical Imaging, Zhengzhou University People's Hospital and Henan Provincial People's Hospital, Zhengzhou, China
| | | | - Zhiping Guo
- Department of Medical Imaging, Zhengzhou University People's Hospital and Henan Provincial People's Hospital, Zhengzhou, China
- Health Management Center of Henan Province, Zhengzhou University People's Hospital and FuWai Central China Cardiovascular Hospital, Zhengzhou, China
| | - Meiyun Wang
- Department of Medical Imaging, Zhengzhou University People's Hospital and Henan Provincial People's Hospital, Zhengzhou, China
- Laboratory of Brain Science and Brain-Like Intelligence Technology, Biomedical Research Institute, Henan Academy of Sciences, Zhengzhou, China
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Cavion CC, Altmayer S, Forte GC, Feijó Andrade RG, Hochhegger DQDR, Zaguini Francisco M, Camargo C, Patel P, Hochhegger B. Diagnostic Performance of MRI for the Detection of Pulmonary Nodules: A Systematic Review and Meta-Analysis. Radiol Cardiothorac Imaging 2024; 6:e230241. [PMID: 38634743 PMCID: PMC11056753 DOI: 10.1148/ryct.230241] [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: 08/27/2023] [Revised: 02/18/2024] [Accepted: 03/07/2024] [Indexed: 04/19/2024]
Abstract
Purpose To perform a meta-analysis of the diagnostic performance of MRI for the detection of pulmonary nodules, with use of CT as the reference standard. Materials and Methods PubMed, Embase, Scopus, and other databases were systematically searched for studies published from January 2000 to March 2023 evaluating the performance of MRI for diagnosis of lung nodules measuring 4 mm or larger, with CT as reference. Studies including micronodules, nodules without size stratification, or those from which data for contingency tables could not be extracted were excluded. Primary outcomes were the per-lesion sensitivity of MRI and the rate of false-positive nodules per patient (FPP). Subgroup analysis by size and meta-regression with other covariates were performed. The study protocol was registered in the International Prospective Register of Systematic Reviews, or PROSPERO (no. CRD42023437509). Results Ten studies met inclusion criteria (1354 patients and 2062 CT-detected nodules). Overall, per-lesion sensitivity of MRI for nodules measuring 4 mm or larger was 87.7% (95% CI: 81.1, 92.2), while the FPP rate was 12.4% (95% CI: 7.0, 21.1). Subgroup analyses demonstrated that MRI sensitivity was 98.5% (95% CI: 90.4, 99.8) for nodules measuring at least 8-10 mm and 80.5% (95% CI: 71.5, 87.1) for nodules less than 8 mm. Conclusion MRI demonstrated a good overall performance for detection of pulmonary nodules measuring 4 mm or larger and almost equal performance to CT for nodules measuring at least 8-10 mm, with a low rate of FPP. Systematic review registry no. CRD42023437509 Keywords: Lung Nodule, Lung Cancer, Lung Cancer Screening, MRI, CT Supplemental material is available for this article. © RSNA, 2024.
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Affiliation(s)
- César Campagnolo Cavion
- From the Department of Radiology, Pontifícia Universidade
Católica do Rio Grande do Sul, Av Ipiranga, 6681 – Partenon, Porto
Alegre, Rio Grande do Sul, Brazil, 90619-900 (C.C.C., G.C.F., R.G.F.A.);
Department of Radiology, Stanford University, Stanford, Calif (S.A.); Department
of Radiology, College of Medicine, University of Florida, Gainesville, Fla
(D.Q.d.R.H., P.P., B.H.); and Universidade Federal de Ciências da
Saúde de Porto Alegre, Porto Alegre, Brazil (M.Z.F., C.C.J.)
| | - Stephan Altmayer
- From the Department of Radiology, Pontifícia Universidade
Católica do Rio Grande do Sul, Av Ipiranga, 6681 – Partenon, Porto
Alegre, Rio Grande do Sul, Brazil, 90619-900 (C.C.C., G.C.F., R.G.F.A.);
Department of Radiology, Stanford University, Stanford, Calif (S.A.); Department
of Radiology, College of Medicine, University of Florida, Gainesville, Fla
(D.Q.d.R.H., P.P., B.H.); and Universidade Federal de Ciências da
Saúde de Porto Alegre, Porto Alegre, Brazil (M.Z.F., C.C.J.)
| | - Gabriele Carra Forte
- From the Department of Radiology, Pontifícia Universidade
Católica do Rio Grande do Sul, Av Ipiranga, 6681 – Partenon, Porto
Alegre, Rio Grande do Sul, Brazil, 90619-900 (C.C.C., G.C.F., R.G.F.A.);
Department of Radiology, Stanford University, Stanford, Calif (S.A.); Department
of Radiology, College of Medicine, University of Florida, Gainesville, Fla
(D.Q.d.R.H., P.P., B.H.); and Universidade Federal de Ciências da
Saúde de Porto Alegre, Porto Alegre, Brazil (M.Z.F., C.C.J.)
| | - Rubens Gabriel Feijó Andrade
- From the Department of Radiology, Pontifícia Universidade
Católica do Rio Grande do Sul, Av Ipiranga, 6681 – Partenon, Porto
Alegre, Rio Grande do Sul, Brazil, 90619-900 (C.C.C., G.C.F., R.G.F.A.);
Department of Radiology, Stanford University, Stanford, Calif (S.A.); Department
of Radiology, College of Medicine, University of Florida, Gainesville, Fla
(D.Q.d.R.H., P.P., B.H.); and Universidade Federal de Ciências da
Saúde de Porto Alegre, Porto Alegre, Brazil (M.Z.F., C.C.J.)
| | - Daniela Quinto dos Reis Hochhegger
- From the Department of Radiology, Pontifícia Universidade
Católica do Rio Grande do Sul, Av Ipiranga, 6681 – Partenon, Porto
Alegre, Rio Grande do Sul, Brazil, 90619-900 (C.C.C., G.C.F., R.G.F.A.);
Department of Radiology, Stanford University, Stanford, Calif (S.A.); Department
of Radiology, College of Medicine, University of Florida, Gainesville, Fla
(D.Q.d.R.H., P.P., B.H.); and Universidade Federal de Ciências da
Saúde de Porto Alegre, Porto Alegre, Brazil (M.Z.F., C.C.J.)
| | - Martina Zaguini Francisco
- From the Department of Radiology, Pontifícia Universidade
Católica do Rio Grande do Sul, Av Ipiranga, 6681 – Partenon, Porto
Alegre, Rio Grande do Sul, Brazil, 90619-900 (C.C.C., G.C.F., R.G.F.A.);
Department of Radiology, Stanford University, Stanford, Calif (S.A.); Department
of Radiology, College of Medicine, University of Florida, Gainesville, Fla
(D.Q.d.R.H., P.P., B.H.); and Universidade Federal de Ciências da
Saúde de Porto Alegre, Porto Alegre, Brazil (M.Z.F., C.C.J.)
| | - Capitulino Camargo
- From the Department of Radiology, Pontifícia Universidade
Católica do Rio Grande do Sul, Av Ipiranga, 6681 – Partenon, Porto
Alegre, Rio Grande do Sul, Brazil, 90619-900 (C.C.C., G.C.F., R.G.F.A.);
Department of Radiology, Stanford University, Stanford, Calif (S.A.); Department
of Radiology, College of Medicine, University of Florida, Gainesville, Fla
(D.Q.d.R.H., P.P., B.H.); and Universidade Federal de Ciências da
Saúde de Porto Alegre, Porto Alegre, Brazil (M.Z.F., C.C.J.)
| | - Pratik Patel
- From the Department of Radiology, Pontifícia Universidade
Católica do Rio Grande do Sul, Av Ipiranga, 6681 – Partenon, Porto
Alegre, Rio Grande do Sul, Brazil, 90619-900 (C.C.C., G.C.F., R.G.F.A.);
Department of Radiology, Stanford University, Stanford, Calif (S.A.); Department
of Radiology, College of Medicine, University of Florida, Gainesville, Fla
(D.Q.d.R.H., P.P., B.H.); and Universidade Federal de Ciências da
Saúde de Porto Alegre, Porto Alegre, Brazil (M.Z.F., C.C.J.)
| | - Bruno Hochhegger
- From the Department of Radiology, Pontifícia Universidade
Católica do Rio Grande do Sul, Av Ipiranga, 6681 – Partenon, Porto
Alegre, Rio Grande do Sul, Brazil, 90619-900 (C.C.C., G.C.F., R.G.F.A.);
Department of Radiology, Stanford University, Stanford, Calif (S.A.); Department
of Radiology, College of Medicine, University of Florida, Gainesville, Fla
(D.Q.d.R.H., P.P., B.H.); and Universidade Federal de Ciências da
Saúde de Porto Alegre, Porto Alegre, Brazil (M.Z.F., C.C.J.)
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Tietz E, Müller-Franzes G, Zimmermann M, Kuhl CK, Keil S, Nebelung S, Truhn D. Evaluation of Pulmonary Nodules by Radiologists vs. Radiomics in Stand-Alone and Complementary CT and MRI. Diagnostics (Basel) 2024; 14:483. [PMID: 38472955 DOI: 10.3390/diagnostics14050483] [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: 01/23/2024] [Revised: 02/02/2024] [Accepted: 02/21/2024] [Indexed: 03/14/2024] Open
Abstract
Increased attention has been given to MRI in radiation-free screening for malignant nodules in recent years. Our objective was to compare the performance of human readers and radiomic feature analysis based on stand-alone and complementary CT and MRI imaging in classifying pulmonary nodules. This single-center study comprises patients with CT findings of pulmonary nodules who underwent additional lung MRI and whose nodules were classified as benign/malignant by resection. For radiomic features analysis, 2D segmentation was performed for each lung nodule on axial CT, T2-weighted (T2w), and diffusion (DWI) images. The 105 extracted features were reduced by iterative backward selection. The performance of radiomics and human readers was compared by calculating accuracy with Clopper-Pearson confidence intervals. Fifty patients (mean age 63 +/- 10 years) with 66 pulmonary nodules (40 malignant) were evaluated. ACC values for radiomic features analysis vs. radiologists based on CT alone (0.68; 95%CI: 0.56, 0.79 vs. 0.59; 95%CI: 0.46, 0.71), T2w alone (0.65; 95%CI: 0.52, 0.77 vs. 0.68; 95%CI: 0.54, 0.78), DWI alone (0.61; 95%CI:0.48, 0.72 vs. 0.73; 95%CI: 0.60, 0.83), combined T2w/DWI (0.73; 95%CI: 0.60, 0.83 vs. 0.70; 95%CI: 0.57, 0.80), and combined CT/T2w/DWI (0.83; 95%CI: 0.72, 0.91 vs. 0.64; 95%CI: 0.51, 0.75) were calculated. This study is the first to show that by combining quantitative image information from CT, T2w, and DWI datasets, pulmonary nodule assessment through radiomics analysis is superior to using one modality alone, even exceeding human readers' performance.
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Affiliation(s)
- Eric Tietz
- Department of Diagnostic and Interventional Radiology, RWTH Aachen University Hospital, Pauwelsstr. 30, 52072 Aachen, Germany
- Department of Diagnostic and Interventional Radiology, Medical Faculty, University Dusseldorf, Moorenstr. 5, 40225 Dusseldorf, Germany
| | - Gustav Müller-Franzes
- Department of Diagnostic and Interventional Radiology, RWTH Aachen University Hospital, Pauwelsstr. 30, 52072 Aachen, Germany
| | - Markus Zimmermann
- Department of Diagnostic and Interventional Radiology, RWTH Aachen University Hospital, Pauwelsstr. 30, 52072 Aachen, Germany
| | - Christiane Katharina Kuhl
- Department of Diagnostic and Interventional Radiology, RWTH Aachen University Hospital, Pauwelsstr. 30, 52072 Aachen, Germany
| | - Sebastian Keil
- Department of Diagnostic and Interventional Radiology, RWTH Aachen University Hospital, Pauwelsstr. 30, 52072 Aachen, Germany
| | - Sven Nebelung
- Department of Diagnostic and Interventional Radiology, RWTH Aachen University Hospital, Pauwelsstr. 30, 52072 Aachen, Germany
| | - Daniel Truhn
- Department of Diagnostic and Interventional Radiology, RWTH Aachen University Hospital, Pauwelsstr. 30, 52072 Aachen, Germany
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Wucherpfennig L, Kauczor HU, Eichinger M, Wielpütz MO. [Magnetic resonance imaging of the lung : State of the art]. RADIOLOGIE (HEIDELBERG, GERMANY) 2023; 63:849-862. [PMID: 37851088 DOI: 10.1007/s00117-023-01229-1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Accepted: 10/04/2023] [Indexed: 10/19/2023]
Abstract
Due to the low proton density of the lung parenchyma and the rapid signal decay at the air-tissue interfaces, for a long time the lungs were difficult to access using magnetic resonance imaging (MRI); however, technical advances could address most of these obstacles. Pulmonary alterations associated with tissue proliferation ("plus pathologies"), can now be detected with high diagnostic accuracy because of the locally increased proton density. Compared to computed tomography (CT), MRI provides a comprehensive range of functional imaging procedures (respiratory mechanics, perfusion and ventilation). In addition, as a radiation-free noninvasive examination modality, it enables repeated examinations for assessment of the course or monitoring of the effects of treatment, even in children. This article discusses the technical aspects, gives suggestions for protocols and explains the role of MRI of the lungs in the routine assessment of various diseases.
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Affiliation(s)
- Lena Wucherpfennig
- Klinik für Diagnostische und Interventionelle Radiologie, Universitätsklinikum Heidelberg, Im Neuenheimer Feld 420, 69120, Heidelberg, Deutschland
- Translational Lung Research Center Heidelberg (TLRC), Deutsches Zentrum für Lungenforschung (DZL), Im Neuenheimer Feld 130.3, 69120, Heidelberg, Deutschland
- Klinik für Diagnostische und Interventionelle Radiologie mit Nuklearmedizin, Thoraxklinik am Universitätsklinikum Heidelberg, Röntgenstr. 1, 69126, Heidelberg, Deutschland
| | - Hans-Ulrich Kauczor
- Klinik für Diagnostische und Interventionelle Radiologie, Universitätsklinikum Heidelberg, Im Neuenheimer Feld 420, 69120, Heidelberg, Deutschland
- Translational Lung Research Center Heidelberg (TLRC), Deutsches Zentrum für Lungenforschung (DZL), Im Neuenheimer Feld 130.3, 69120, Heidelberg, Deutschland
- Klinik für Diagnostische und Interventionelle Radiologie mit Nuklearmedizin, Thoraxklinik am Universitätsklinikum Heidelberg, Röntgenstr. 1, 69126, Heidelberg, Deutschland
| | - Monika Eichinger
- Klinik für Diagnostische und Interventionelle Radiologie, Universitätsklinikum Heidelberg, Im Neuenheimer Feld 420, 69120, Heidelberg, Deutschland
- Translational Lung Research Center Heidelberg (TLRC), Deutsches Zentrum für Lungenforschung (DZL), Im Neuenheimer Feld 130.3, 69120, Heidelberg, Deutschland
- Klinik für Diagnostische und Interventionelle Radiologie mit Nuklearmedizin, Thoraxklinik am Universitätsklinikum Heidelberg, Röntgenstr. 1, 69126, Heidelberg, Deutschland
| | - Mark O Wielpütz
- Klinik für Diagnostische und Interventionelle Radiologie, Universitätsklinikum Heidelberg, Im Neuenheimer Feld 420, 69120, Heidelberg, Deutschland.
- Translational Lung Research Center Heidelberg (TLRC), Deutsches Zentrum für Lungenforschung (DZL), Im Neuenheimer Feld 130.3, 69120, Heidelberg, Deutschland.
- Klinik für Diagnostische und Interventionelle Radiologie mit Nuklearmedizin, Thoraxklinik am Universitätsklinikum Heidelberg, Röntgenstr. 1, 69126, Heidelberg, Deutschland.
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Guo L, Yu Y, Yang F, Gao W, Wang Y, Xiao Y, Du J, Tian J, Yang H. Accuracy of baseline low-dose computed tomography lung cancer screening: a systematic review and meta-analysis. Chin Med J (Engl) 2023; 136:1047-1056. [PMID: 37101352 PMCID: PMC10228483 DOI: 10.1097/cm9.0000000000002353] [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: 06/09/2022] [Indexed: 04/28/2023] Open
Abstract
BACKGROUND Screening using low-dose computed tomography (LDCT) is a more effective approach and has the potential to detect lung cancer more accurately. We aimed to conduct a meta-analysis to estimate the accuracy of population-based screening studies primarily assessing baseline LDCT screening for lung cancer. METHODS MEDLINE, Excerpta Medica Database, and Web of Science were searched for articles published up to April 10, 2022. According to the inclusion and exclusion criteria, the data of true positives, false-positives, false negatives, and true negatives in the screening test were extracted. Quality Assessment of Diagnostic Accuracy Studies-2 was used to evaluate the quality of the literature. A bivariate random effects model was used to estimate pooled sensitivity and specificity. The area under the curve (AUC) was calculated by using hierarchical summary receiver-operating characteristics analysis. Heterogeneity between studies was measured using the Higgins I2 statistic, and publication bias was evaluated using a Deeks' funnel plot and linear regression test. RESULTS A total of 49 studies with 157,762 individuals were identified for the final qualitative synthesis; most of them were from Europe and America (38 studies), ten were from Asia, and one was from Oceania. The recruitment period was 1992 to 2018, and most of the subjects were 40 to 75 years old. The analysis showed that the AUC of lung cancer screening by LDCT was 0.98 (95% CI: 0.96-0.99), and the overall sensitivity and specificity were 0.97 (95% CI: 0.94-0.98) and 0.87 (95% CI: 0.82-0.91), respectively. The funnel plot and test results showed that there was no significant publication bias among the included studies. CONCLUSIONS Baseline LDCT has high sensitivity and specificity as a screening technique for lung cancer. However, long-term follow-up of the whole study population (including those with a negative baseline screening result) should be performed to enhance the accuracy of LDCT screening.
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Affiliation(s)
- Lanwei Guo
- Department of Cancer Epidemiology and Prevention, Henan Engineering Research Center of Cancer Prevention and Control, Henan International Joint Laboratory of Cancer Prevention, The Affiliated Cancer Hospital of Zhengzhou University & Henan Cancer Hospital, Zhengzhou, Henan 450008, China
- Department of Epidemiology, College of Public Health, Zhengzhou University, Zhengzhou, Henan 450001, China
| | - Yue Yu
- Clinical Trials Center, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing 100021, China
| | - Funa Yang
- Department of Nursing, The Affiliated Cancer Hospital of Zhengzhou University & Henan Cancer Hospital, Zhengzhou, Henan 450008, China
| | - Wendong Gao
- Henan University of Chinese Medicine, Zhengzhou, Henan 450046, China
| | - Yu Wang
- Nursing and Health School of Zhengzhou University, Zhengzhou, Henan 450001, China
| | - Yao Xiao
- Nursing and Health School of Zhengzhou University, Zhengzhou, Henan 450001, China
| | - Jia Du
- International College of Zhengzhou University, Zhengzhou, Henan 450001, China
| | - Jinhui Tian
- Evidence-Based Medicine Center, School of Basic Medical Sciences, Lanzhou University, Lanzhou, Gansu 730000, China
- Key Laboratory of Evidence-Based Medicine and Knowledge Translation of Gansu Province, Lanzhou, Gansu 730000, China
| | - Haiyan Yang
- Department of Epidemiology, College of Public Health, Zhengzhou University, Zhengzhou, Henan 450001, China
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Li Q, Zhu L, von Stackelberg O, Triphan SMF, Biederer J, Weinheimer O, Eichinger M, Vogelmeier CF, Jörres RA, Kauczor HU, Heußel CP, Jobst BJ, Wielpütz MO. MRI Compared with Low-Dose CT for Incidental Lung Nodule Detection in COPD: A Multicenter Trial. Radiol Cardiothorac Imaging 2023; 5:e220176. [PMID: 37124637 PMCID: PMC10141334 DOI: 10.1148/ryct.220176] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/12/2022] [Revised: 02/27/2023] [Accepted: 03/17/2023] [Indexed: 05/02/2023]
Abstract
Purpose To investigate morphofunctional chest MRI for the detection and management of incidental pulmonary nodules in participants with chronic obstructive pulmonary disease (COPD). Materials and Methods In this prospective study, 567 participants (mean age, 66 years ± 9 [SD]; 340 men) underwent same-day contrast-enhanced MRI and nonenhanced low-dose CT (LDCT) in a nationwide multicenter trial (clinicaltrials.gov: NCT01245933). Nodule dimensions, morphologic features, and Lung Imaging Reporting and Data System (Lung-RADS) category were assessed at MRI by two blinded radiologists, and consensual LDCT results served as the reference standard. Comparisons were performed using the Student t test, and agreements were assessed using the Cohen weighted κ. Results A total of 525 nodules larger than 3 mm in diameter were detected at LDCT in 178 participants, with a mean diameter of 7.2 mm ± 6.1 (range, 3.1-63.1 mm). Nodules were not detected in the remaining 389 participants. Sensitivity and positive predictive values with MRI for readers 1 and 2, respectively, were 63.0% and 84.8% and 60.2% and 83.9% for solid nodules (n = 495), 17.6% and 75.0% and 17.6% and 60.0% for part-solid nodules (n = 17), and 7.7% and 100% and 7.7% and 50.0% for ground-glass nodules (n = 13). For nodules 6 mm or greater in diameter, sensitivity and positive predictive values were 73.3% and 92.2% for reader 1 and 71.4% and 93.2% for reader 2, respectively. Readers underestimated the long-axis diameter at MRI by 0.5 mm ± 1.7 (reader 1) and 0.5 mm ± 1.5 (reader 2) compared with LDCT (P < .001). For Lung-RADS categorization per nodule using MRI, there was substantial to perfect interreader agreement (κ = 0.75-1.00) and intermethod agreement compared with LDCT (κ = 0.70-1.00 and 0.69-1.00). Conclusion In a multicenter setting, morphofunctional MRI showed moderate sensitivity for detection of incidental pulmonary nodules in participants with COPD but high agreement with LDCT for Lung-RADS classification of nodules.Clinical trial registration no. NCT01245933 and NCT02629432Keywords: MRI, CT, Thorax, Lung, Chronic Obstructive Pulmonary Disease, Screening© RSNA, 2023 Supplemental material is available for this article.
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Feng H, Shi G, Liu H, Xu Q, Wang L, Zhang N. The Application and Value of 3T Magnetic Resonance Imaging in the Display of Pulmonary Nodules. Front Oncol 2022; 12:844514. [PMID: 35664742 PMCID: PMC9157594 DOI: 10.3389/fonc.2022.844514] [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: 01/14/2022] [Accepted: 03/17/2022] [Indexed: 11/21/2022] Open
Abstract
Objective The aim of this study was to evaluate the sensitivity and accuracy of multi-sequence 3T magnetic resonance imaging (MRI) in the detection of different types of pulmonary nodules. Methods A total of 68 patients with pulmonary nodules identified using computed tomography (CT) subsequently underwent MRI. Using CT images with a slice thickness of 1 mm as the gold standard, the sensitivity of three MRI sequences in detecting different types of pulmonary nodules was calculated, and the image quality was also evaluated. Nodule types included solid nodules, ground glass nodules (GGN), and part-solid nodules (PSN). Statistical analyses of data were conducted using the software SPSS 21.0. The intra-class correlation coefficient was calculated in order to compare the consistency of nodule size in both MRI and CT. Results CT detected 188 pulmonary nodules in 68 patients, including 87 solid nodules and 101 sub-solid nodules, the latter comprising 46 PSNs and 55 GGNs. The average nodule diameter was approximately 7.7 mm. The sensitivity of MRI in detecting nodules ≥ 6 mm in diameter and those of > 8 mm in diameter was 92% and 100%, respectively, and the sequence with the highest detection rate was T2-BLADE. In relation to solid nodules, the sequence with the highest detection rate was T1 Star-VIBE, while the T2-BLADE sequence demonstrated the highest detection rate of sub-solid nodules. The image quality of the T1 Star-VIBE sequence was better than that of both the T2-HASTE and the T2-BLADE sequences. The consistency of CT and MRI sequences for nodule size was high with a consistency coefficient of 0.94–0.98. Conclusion The detection rate of MRI for nodules with a diameter of > 8 mm was 100%. The T2-BLADE sequence had the highest detection sensitivity. The sequence with the best image quality was the T1 Star-VIBE.
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Affiliation(s)
- Hui Feng
- Department of Radiology, The Fourth Hospital of Hebei Medical University, Shijiazhuang, China
| | - Gaofeng Shi
- Department of Radiology, The Fourth Hospital of Hebei Medical University, Shijiazhuang, China
| | - Hui Liu
- Department of Radiology, The Fourth Hospital of Hebei Medical University, Shijiazhuang, China
| | - Qian Xu
- Department of Radiology, The Fourth Hospital of Hebei Medical University, Shijiazhuang, China
| | - Lijia Wang
- Department of Radiology, The Fourth Hospital of Hebei Medical University, Shijiazhuang, China
| | - Ning Zhang
- Department of Radiology, The Fourth Hospital of Hebei Medical University, Shijiazhuang, China
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8
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Darçot E, Jreige M, Rotzinger DC, Gidoin Tuyet Van S, Casutt A, Delacoste J, Simons J, Long O, Buela F, Ledoux JB, Prior JO, Lovis A, Beigelman-Aubry C. Comparison Between Magnetic Resonance Imaging and Computed Tomography in the Detection and Volumetric Assessment of Lung Nodules: A Prospective Study. Front Med (Lausanne) 2022; 9:858731. [PMID: 35573012 PMCID: PMC9096346 DOI: 10.3389/fmed.2022.858731] [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: 01/20/2022] [Accepted: 03/25/2022] [Indexed: 11/22/2022] Open
Abstract
Rationale and Objectives Computed tomography (CT) lung nodule assessment is routinely performed and appears very promising for lung cancer screening. However, the radiation exposure through time remains a concern. With the overall goal of an optimal management of indeterminate lung nodules, the objective of this prospective study was therefore to evaluate the potential of optimized ultra-short echo time (UTE) MRI for lung nodule detection and volumetric assessment. Materials and Methods Eight (54.9 ± 13.2 years) patients with at least 1 non-calcified nodule ≥4 mm were included. UTE under high-frequency non-invasive ventilation (UTE-HF-NIV) and in free-breathing at tidal volume (UTE-FB) were investigated along with volumetric interpolated breath-hold examination at full inspiration (VIBE-BH). Three experienced readers assessed the detection rate of nodules ≥4 mm and ≥6 mm, and reported their location, 2D-measurements and solid/subsolid nature. Volumes were measured by two experienced readers. Subsequently, two readers assessed the detection and volume measurements of lung nodules ≥4mm in gold-standard CT images with soft and lung kernel reconstructions. Volumetry was performed with lesion management software (Carestream, Rochester, New York, USA). Results UTE-HF-NIV provided the highest detection rate for nodules ≥4 mm (n = 66) and ≥6 mm (n = 32) (35 and 50%, respectively). No dependencies were found between nodule detection and their location in the lung with UTE-HF-NIV (p > 0.4), such a dependency was observed for two readers with VIBE-BH (p = 0.002 and 0.03). Dependencies between the nodule's detection and their size were noticed among readers and techniques (p < 0.02). When comparing nodule volume measurements, an excellent concordance was observed between CT and UTE-HF-NIV, with an overestimation of 13.2% by UTE-HF-NIV, <25%-threshold used for nodule's growth, conversely to VIBE-BH that overestimated the nodule volume by 28.8%. Conclusion UTE-HF-NIV is not ready to replace low-dose CT for lung nodule detection, but could be used for follow-up studies, alternating with CT, based on its volumetric accuracy.
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Affiliation(s)
- Emeline Darçot
- Department of Diagnostic and Interventional Radiology, Lausanne University Hospital (CHUV), Lausanne, Switzerland.,Faculty of Biology and Medicine, University of Lausanne (UNIL), Lausanne, Switzerland
| | - Mario Jreige
- Department of Nuclear Medicine and Molecular Imaging, Lausanne University Hospital (CHUV), Lausanne, Switzerland
| | - David C Rotzinger
- Department of Diagnostic and Interventional Radiology, Lausanne University Hospital (CHUV), Lausanne, Switzerland.,Faculty of Biology and Medicine, University of Lausanne (UNIL), Lausanne, Switzerland
| | - Stacey Gidoin Tuyet Van
- Department of Diagnostic and Interventional Radiology, Lausanne University Hospital (CHUV), Lausanne, Switzerland
| | - Alessio Casutt
- Department of Pulmonology, Lausanne University Hospital (CHUV) and University of Lausanne (UNIL), Lausanne, Switzerland
| | - Jean Delacoste
- Department of Diagnostic and Interventional Radiology, Lausanne University Hospital (CHUV), Lausanne, Switzerland.,Faculty of Biology and Medicine, University of Lausanne (UNIL), Lausanne, Switzerland
| | - Julien Simons
- Department of Physiotherapy, Lausanne University Hospital (CHUV) and University of Lausanne, Lausanne, Switzerland
| | - Olivier Long
- Department of Physiotherapy, Lausanne University Hospital (CHUV) and University of Lausanne, Lausanne, Switzerland
| | - Flore Buela
- Department of Physiotherapy, Lausanne University Hospital (CHUV) and University of Lausanne, Lausanne, Switzerland
| | - Jean-Baptiste Ledoux
- Department of Diagnostic and Interventional Radiology, Lausanne University Hospital (CHUV), Lausanne, Switzerland.,Center for Biomedical Imaging (CIBM), Lausanne, Switzerland
| | - John O Prior
- Faculty of Biology and Medicine, University of Lausanne (UNIL), Lausanne, Switzerland.,Department of Nuclear Medicine and Molecular Imaging, Lausanne University Hospital (CHUV), Lausanne, Switzerland
| | - Alban Lovis
- Faculty of Biology and Medicine, University of Lausanne (UNIL), Lausanne, Switzerland.,Department of Pulmonology, Lausanne University Hospital (CHUV) and University of Lausanne (UNIL), Lausanne, Switzerland
| | - Catherine Beigelman-Aubry
- Department of Diagnostic and Interventional Radiology, Lausanne University Hospital (CHUV), Lausanne, Switzerland.,Faculty of Biology and Medicine, University of Lausanne (UNIL), Lausanne, Switzerland
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9
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Magnetic Fields and Cancer: Epidemiology, Cellular Biology, and Theranostics. Int J Mol Sci 2022; 23:ijms23031339. [PMID: 35163262 PMCID: PMC8835851 DOI: 10.3390/ijms23031339] [Citation(s) in RCA: 13] [Impact Index Per Article: 6.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/30/2021] [Revised: 01/22/2022] [Accepted: 01/22/2022] [Indexed: 02/08/2023] Open
Abstract
Humans are exposed to a complex mix of man-made electric and magnetic fields (MFs) at many different frequencies, at home and at work. Epidemiological studies indicate that there is a positive relationship between residential/domestic and occupational exposure to extremely low frequency electromagnetic fields and some types of cancer, although some other studies indicate no relationship. In this review, after an introduction on the MF definition and a description of natural/anthropogenic sources, the epidemiology of residential/domestic and occupational exposure to MFs and cancer is reviewed, with reference to leukemia, brain, and breast cancer. The in vivo and in vitro effects of MFs on cancer are reviewed considering both human and animal cells, with particular reference to the involvement of reactive oxygen species (ROS). MF application on cancer diagnostic and therapy (theranostic) are also reviewed by describing the use of different magnetic resonance imaging (MRI) applications for the detection of several cancers. Finally, the use of magnetic nanoparticles is described in terms of treatment of cancer by nanomedical applications for the precise delivery of anticancer drugs, nanosurgery by magnetomechanic methods, and selective killing of cancer cells by magnetic hyperthermia. The supplementary tables provide quantitative data and methodologies in epidemiological and cell biology studies. Although scientists do not generally agree that there is a cause-effect relationship between exposure to MF and cancer, MFs might not be the direct cause of cancer but may contribute to produce ROS and generate oxidative stress, which could trigger or enhance the expression of oncogenes.
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10
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Practical protocol for lung magnetic resonance imaging and common clinical indications. Pediatr Radiol 2022; 52:295-311. [PMID: 34037828 PMCID: PMC8150155 DOI: 10.1007/s00247-021-05090-z] [Citation(s) in RCA: 17] [Impact Index Per Article: 8.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/30/2020] [Revised: 02/23/2021] [Accepted: 04/20/2021] [Indexed: 12/22/2022]
Abstract
Imaging speed, spatial resolution and availability have made CT the favored cross-sectional imaging modality for evaluating various respiratory diseases of children - but only for the price of a radiation exposure. MRI is increasingly being appreciated as an alternative to CT, not only for offering three-dimensional (3-D) imaging without radiation exposure at only slightly inferior spatial resolution, but also for its superior soft-tissue contrast and exclusive morpho-functional imaging capacities beyond the scope of CT. Continuing technical improvements and experience with this so far under-utilized modality contribute to a growing acceptance of MRI for an increasing number of indications, in particular for pediatric patients. This review article provides the reader with practical easy-to-use protocols for common clinical indications in children. This is intended to encourage pediatric radiologists to appreciate the new horizons for applications of this rapidly evolving technique in the field of pediatric respiratory diseases.
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11
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Magnetic Resonance Imaging Segmentation on the Basis of Boundary Tracking Algorithm in Lung Cancer Surgery. CONTRAST MEDIA & MOLECULAR IMAGING 2021; 2021:1368687. [PMID: 34858112 PMCID: PMC8592752 DOI: 10.1155/2021/1368687] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 08/24/2021] [Revised: 09/26/2021] [Accepted: 10/01/2021] [Indexed: 11/23/2022]
Abstract
This work was to study the guiding value of magnetic resonance imaging (MRI) based on the target region boundary tracking algorithm in lung cancer surgery. In this study, the traditional boundary tracking algorithm was optimized, and the target neighborhood point boundary tracking method was proposed. The iterative method was used to binarize the lung MRI image, which was applied to the MRI images of 50 lung cancer patients in hospital. The patients were divided into two groups as the progression-free survival (PFS) and overall survival (OS) of surgical treatment group (experimental group, n = 25) and nonsurgical treatment group (control group, n = 25). The experimental group received surgical resection, while the control group received systemic chemotherapy. The results showed that the traditional boundary tracking algorithm needed to manually rejudge whether the concave and convex parts of the image were missing. The target boundary tracking algorithm can effectively avoid the leakage of concave and convex parts and accurately locate the target image contour, fast operation, without manual intervention. The PFS time of the experimental group (325 days) was significantly higher than that of the control group (186 days) (P < 0.05). The OS time of the experimental group (697 days) was significantly higher than that of the control group (428 days) (P < 0.05). Fisher exact probability method was used to test the total survival time of patients in the two groups, and the tumor classification and treatment group had significant influence on the OS time (P < 0.05). The target boundary tracking algorithm in this study can effectively locate the contour of the target image, and the operation speed was fast. Surgical resection of lung cancer can improve the PFS and OS of patients.
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12
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Chen Y, Zhou HM, Jiang QJ. The Application Value of Magnetic Resonance Imaging (MRI) in the Clinical Diagnosis in Hospital Management. Pak J Med Sci 2021; 37:1710-1713. [PMID: 34712311 PMCID: PMC8520355 DOI: 10.12669/pjms.37.6-wit.4791] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/05/2021] [Revised: 05/16/2021] [Accepted: 06/30/2021] [Indexed: 11/15/2022] Open
Abstract
Background & Objective To evaluate the application value of dynamic enhanced magnetic resonance imaging (DCE-MRI) in the clinical diagnosis in hospital based on the fuzzy C-means clustering algorithm and conduct its cost-benefit analysis in practice. Methods This study was conducted from October 11th 2020 to November 25, 2020. Eighteen patients with lung cancer confirmed by pathology were collected and examined by DCE-MRI one day before and one month after surgery using a fuzzy C-means clustering algorithm. And then, taking Guang'an District People's Hospital as an example, the present paper conducts the cost-benefit analysis with the utilization of net present value (NPV). Results After 1-month review, eleven patients with effective treatment, four numerical Ktrans, Kep, Ve, Vp compared with preoperative decreased, which Ktrans, Kep, the change of the Ve was statistically significant (P < 0.05), the Vp of decline has no statistical significance (P > 0.05), the experimental and ineffective group after an operation, compared to four numerical Ktrans and Vp difference was statistically significant (P < 0.05), the corresponding AUC (area under the curve) to 1 and 0.818, the sensitivity of 100% and 85.7%, a specific degree of 100% and 72.7%. The NPV analysis results showed that the hospital could achieve profit and loss balance in the third year after purchasing MRI equipment and then gradually obtain positive cash inflow. Conclusion The application of MRI in the Clinical Diagnosis helps hospital promote the therapeutic effect, thus having great practical value, and also contributes to increasing benefits in the long run.
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Affiliation(s)
- Yan Chen
- Yan Chen, Attending Doctor Business School, Sichuan University, Chengdu, China
| | - Hong-Mei Zhou
- Hong-Mei Zhou, Attending Doctor, School of Public Administration, Sichuan University, Chengdu, China
| | - Qi-Jie Jiang
- Qi-Jie Jiang, Associate Professor Business School, Chengdu University, Chengdu, China
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13
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UNLU EN, ALTINSOY HB, GÜLEÇ BALBAY E, SUNGUR MA, BORAN M, ÖNAL B. Shear Wave Ultrasound Elastography And Dıffusıon-Weıghted Magnetıc Resonance Imagıng Fındıngs Of Pleural-Based Masses Wıth Hıstopathologıc Correlatıon. KONURALP TIP DERGISI 2021. [DOI: 10.18521/ktd.880329] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/04/2022]
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14
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Lv Y, Ye B. [Advances in Diagnosis and Management of Subcentimeter Pulmonary Nodules]. ZHONGGUO FEI AI ZA ZHI = CHINESE JOURNAL OF LUNG CANCER 2021; 23:365-370. [PMID: 32429638 PMCID: PMC7260380 DOI: 10.3779/j.issn.1009-3419.2020.102.11] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Download PDF] [Subscribe] [Scholar Register] [Indexed: 11/05/2022]
Abstract
With the widespread use of high-resolution multislice spiral computed tomography and the popularization of regular physical examinations, the prevalence of clinically diagnosed subcentimeter pulmonary nodules is increasing. Subcentimeter pulmonary nodules have low malignant probability, however, the diagnosis and management are of high difficulty and it is likely to misdiagnose and miss malignant nodules. Therefore, the evaluation and management of subcentimeter pulmonary nodules have always been the key points of clinical work. This article reviews and summarizes the progress in the evaluation and management of subcentimeter pulmonary nodules.
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Affiliation(s)
- Yilv Lv
- Department of Thoracic Surgery, Shanghai Chest Hospital, Shanghai Jiao Tong University, Shanghai 200030, China
| | - Bo Ye
- Department of Thoracic Surgery, Shanghai Chest Hospital, Shanghai Jiao Tong University, Shanghai 200030, China
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15
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Saadat M, Manshadi MK, Mohammadi M, Zare MJ, Zarei M, Kamali R, Sanati-Nezhad A. Magnetic particle targeting for diagnosis and therapy of lung cancers. J Control Release 2020; 328:776-791. [PMID: 32920079 PMCID: PMC7484624 DOI: 10.1016/j.jconrel.2020.09.017] [Citation(s) in RCA: 36] [Impact Index Per Article: 9.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/17/2020] [Revised: 09/06/2020] [Accepted: 09/07/2020] [Indexed: 12/24/2022]
Abstract
Over the past decade, the growing interest in targeted lung cancer therapy has guided researchers toward the cutting edge of controlled drug delivery, particularly magnetic particle targeting. Targeting of tissues by magnetic particles has tackled several limitations of traditional drug delivery methods for both cancer detection (e.g., using magnetic resonance imaging) and therapy. Delivery of magnetic particles offers the key advantage of high efficiency in the local deposition of drugs in the target tissue with the least harmful effect on other healthy tissues. This review first overviews clinical aspects of lung morphology and pathogenesis as well as clinical features of lung cancer. It is followed by reviewing the advances in using magnetic particles for diagnosis and therapy of lung cancers: (i) a combination of magnetic particle targeting with MRI imaging for diagnosis and screening of lung cancers, (ii) magnetic drug targeting (MDT) through either intravenous injection and pulmonary delivery for lung cancer therapy, and (iii) computational simulations that models new and effective approaches for magnetic particle drug delivery to the lung, all supporting improved lung cancer treatment. The review further discusses future opportunities to improve the clinical performance of MDT for diagnosis and treatment of lung cancer and highlights clinical therapy application of the MDT as a new horizon to cure with minimal side effects a wide variety of lung diseases and possibly other acute respiratory syndromes (COVID-19, MERS, and SARS).
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Affiliation(s)
- Mahsa Saadat
- Department of Chemical Engineering, College of Engineering, Shahid Bahonar University of Kerman, Kerman, Iran
| | - Mohammad K.D. Manshadi
- Department of Chemical Engineering, College of Engineering, Shahid Bahonar University of Kerman, Kerman, Iran,Department of Mechanical and Manufacturing Engineering, University of Calgary, Calgary, Alberta T2N 1N4, Canada
| | - Mehdi Mohammadi
- Department of Chemical Engineering, College of Engineering, Shahid Bahonar University of Kerman, Kerman, Iran,Department of Mechanical and Manufacturing Engineering, University of Calgary, Calgary, Alberta T2N 1N4, Canada,Center for Bioengineering Research and Education, University of Calgary, Calgary, Alberta T2N 1N4, Canada,Department of Biological Science, University of Calgary, Alberta T2N 1N4, Canada
| | | | - Mohammad Zarei
- Mitochondrial and Epigenomic Medicine, and Department of Pathology and Laboratory Medicine, Children’s Hospital of Philadelphia and Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA 19104, USA
| | - Reza Kamali
- Department of Mechanical Engineering, Shiraz University, 71345 Shiraz, Iran
| | - Amir Sanati-Nezhad
- Department of Mechanical and Manufacturing Engineering, University of Calgary, Calgary, Alberta T2N 1N4, Canada; Center for Bioengineering Research and Education, University of Calgary, Calgary, Alberta T2N 1N4, Canada.
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16
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Lung MRI assessment with high-frequency noninvasive ventilation at 3 T. Magn Reson Imaging 2020; 74:64-73. [DOI: 10.1016/j.mri.2020.09.006] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/17/2020] [Revised: 08/12/2020] [Accepted: 09/02/2020] [Indexed: 12/14/2022]
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17
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Huang YS, Niisato E, Su MYM, Benkert T, Hsu HH, Shih JY, Chen JS, Chang YC. Detecting small pulmonary nodules with spiral ultrashort echo time sequences in 1.5 T MRI. MAGNETIC RESONANCE MATERIALS IN PHYSICS BIOLOGY AND MEDICINE 2020; 34:399-409. [PMID: 32902778 DOI: 10.1007/s10334-020-00885-x] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 06/12/2020] [Revised: 08/26/2020] [Accepted: 08/27/2020] [Indexed: 12/19/2022]
Abstract
OBJECTIVE This study investigated ultrashort echo time (UTE) sequences in 1.5 T magnetic resonance imaging (MRI) for small lung nodule detection. MATERIALS AND METHODS A total of 120 patients with 165 small lung nodules before video-associated thoracoscopic resection were enrolled. MRI sequences included conventional volumetric interpolated breath-hold examination (VIBE, scan time 16 s), spiral UTE (TE 0.05 ms) with free-breathing (scan time 3.5-5 min), and breath-hold sequences (scan time 20 s). Chest CT provided a standard reference for nodule size and morphology. Nodule detection sensitivity was evaluated on a lobe-by-lobe basis. RESULTS The nodule detection rate was significantly higher in spiral UTE free-breathing (> 78%, p < 0.05) and breath-hold sequences (> 75%, p < 0.05) compared with conventional VIBE (> 55%), reaching 100% when nodule size was > 16 mm, and reaching 95% when nodules were in solid morphology, regardless of size. The inter-sequence reliability between free-breathing and breath-hold spiral UTE was good (κ > 0.80). Inter-reader agreement was also high (κ > 0.77) for spiral UTE sequences. Nodule size measurements were consistent between CT and spiral UTE MRI, with a minimal bias up to 0.2 mm. DISCUSSION Spiral UTE sequences detect small lung nodules that warrant surgery, offers realistic scan times for clinical work, and could be implemented as part of routine lung MRI.
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Affiliation(s)
- Yu-Sen Huang
- Department of Medical Imaging, National Taiwan University Hospital, No.7, Chung-Shan South Road, Taipei, 100, Taiwan
- Department of Radiology, National Taiwan University College of Medicine, Taipei, Taiwan
| | | | - Mao-Yuan Marine Su
- Department of Medical Imaging, National Taiwan University Hospital, No.7, Chung-Shan South Road, Taipei, 100, Taiwan
- Department of Radiology, National Taiwan University College of Medicine, Taipei, Taiwan
| | | | - Hsao-Hsun Hsu
- Department of Surgery, National Taiwan University Hospital and National Taiwan University College of Medicine, Taipei, Taiwan
| | - Jin-Yuan Shih
- Department of Internal Medicine, National Taiwan University Hospital and National Taiwan University College of Medicine, Taipei, Taiwan
| | - Jin-Shing Chen
- Department of Surgery, National Taiwan University Hospital and National Taiwan University College of Medicine, Taipei, Taiwan
| | - Yeun-Chung Chang
- Department of Medical Imaging, National Taiwan University Hospital, No.7, Chung-Shan South Road, Taipei, 100, Taiwan.
- Department of Radiology, National Taiwan University College of Medicine, Taipei, Taiwan.
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18
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Jotwani R, Mehta N, Baig E, Gupta A, Gulati A. Neuromodulation and the Epidemiology of Magnetic Resonance Utilization for Lung, Breast, Colon, and Prostate Cancer. Neuromodulation 2020; 23:912-921. [PMID: 32705734 DOI: 10.1111/ner.13224] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/25/2019] [Revised: 05/03/2020] [Accepted: 05/11/2020] [Indexed: 12/19/2022]
Abstract
BACKGROUND Neuromodulation is a growing therapeutic modality for the treatment of chronic pain. Determining whether a patient is an appropriate candidate for implantation of a neuromodulatory device and whether the device requires an MRI conditional feature necessitates understanding the patient's likelihood of requiring an MRI. Active treatment of cancer represents known high-risk clinical scenarios for MRI. However, the growth of MRI as a tool for diagnosis of cancer also warrants consideration by implanting physicians when assessing high-risk patients. MATERIALS AND METHODS Here, we conduct a systematic review of the literature to determine the epidemiology for MR utilization for breast, lung, prostate, and colon cancer. Out of 126 papers reviewed, 39 were ultimately analyzed to determine the relative likelihood of an MRI in the course of oncologic care. RESULTS We find that there is a low likelihood for MRI to be utilized as part of any screening process and a variable likelihood during the staging and surveillance phases across all cancer subtypes depending on the clinical circumstances. Certain populations present special consideration for MRI screening, such as the high at-risk breast cancer population, and MRI surveillance and staging, such as aging males (>50 years old) at risk for prostate cancer or individuals diagnosed with rectal cancers. CONCLUSION High likelihood of MRI within the oncologic context represents important distinction criteria for neuromodulation as patients may benefit from implantation of an MR conditional system.
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Affiliation(s)
- Rohan Jotwani
- Department of Anesthesiology, New York-Presbyterian Hospital - Weill Cornell College of Medicine, New York, NY, USA
| | - Neel Mehta
- Department of Anesthesiology, New York-Presbyterian Hospital - Weill Cornell College of Medicine, New York, NY, USA
| | - Ethesham Baig
- Department of Anesthesiology, University of Toronto Western, Toronto, Ontario, Canada
| | - Ajay Gupta
- Department of Radiology, New York-Presbyterian Hospital - Weill Cornell College of Medicine, New York, NY, USA
| | - Amitabh Gulati
- Department of Anesthesiology and Critical Care, Memorial Sloan Kettering Cancer Center, New York, NY, USA
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19
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Yu N, Yang C, Ma G, Dang S, Ren Z, Wang S, Yu Y. Feasibility of pulmonary MRI for nodule detection in comparison to computed tomography. BMC Med Imaging 2020; 20:53. [PMID: 32434473 PMCID: PMC7238528 DOI: 10.1186/s12880-020-00451-w] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/18/2019] [Accepted: 05/07/2020] [Indexed: 12/18/2022] Open
Abstract
Background To assess the feasibility of various magnetic resonance imaging (MRI) sequences for the detection of pulmonary nodules by comparing the detection rate of computed tomography (CT). Methods Forty-two patients with pulmonary nodules detected by multi-slice CT (MSCT) were prospectively enrolled in the present study between November 2016 and February 2017. Chest MRI was acquired within 24 h of CT. The MRI protocol included free-breathing radial VIBE (r-VIBE) and a conventional breathhold T1-weighted VIBE (C-VIBE) were analyzed by two independent radiologists. Both detection and morphology results of each MRI image were recorded. Subjective image evaluation in terms of overall nodule morphology on the MRI images was carried out using the 4-point scoring criteria. The MRI results were compared with those from CT, with the results of MSCT serving as the reference standard. Results Two hundred and fifty-eight solid pulmonary nodules in 42 patients were detected by CT. The r-VIBE correctly detected 94% of the pulmonary nodules as compared with CT. The detection rate increased to 100% for lesions ≥6 mm. The C-VIBE had a lower overall detection rate (64.3%) of pulmonary nodules. The difference in the subjective image evaluation scores between the two sequences was statistically significant (p < 0.001). Conclusion Significantly increased detection rates were obtained with free-breathing r-VIBE as compared with C-VIBE for the detection of pulmonary nodules and also provided more information when evaluating the nodules as compared with C-VIBE.
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Affiliation(s)
- Nan Yu
- Department of Radiology, The affiliated hospital of Chinese traditional medical university, Xian Yang China, -2# Weiyang Western Road, Xian Yang, 712000, China.
| | - Chuangbo Yang
- Department of Radiology, The affiliated hospital of Chinese traditional medical university, Xian Yang China, -2# Weiyang Western Road, Xian Yang, 712000, China
| | - Guangming Ma
- Department of Radiology, The affiliated hospital of Chinese traditional medical university, Xian Yang China, -2# Weiyang Western Road, Xian Yang, 712000, China
| | - Shan Dang
- Department of Radiology, The affiliated hospital of Chinese traditional medical university, Xian Yang China, -2# Weiyang Western Road, Xian Yang, 712000, China
| | - Zhanli Ren
- Department of Radiology, The affiliated hospital of Chinese traditional medical university, Xian Yang China, -2# Weiyang Western Road, Xian Yang, 712000, China
| | - Shaoyu Wang
- Department of Radiology, The affiliated hospital of Chinese traditional medical university, Xian Yang China, -2# Weiyang Western Road, Xian Yang, 712000, China
| | - Yong Yu
- Department of Radiology, The affiliated hospital of Chinese traditional medical university, Xian Yang China, -2# Weiyang Western Road, Xian Yang, 712000, China. .,Department of Medical Technology, The affiliated hospital of Chinese traditional medical university, Xian Yang, China.
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20
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Cost-effectiveness of lung MRI in lung cancer screening. Eur Radiol 2019; 30:1738-1746. [DOI: 10.1007/s00330-019-06453-9] [Citation(s) in RCA: 13] [Impact Index Per Article: 2.6] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/24/2019] [Revised: 08/05/2019] [Accepted: 09/12/2019] [Indexed: 12/17/2022]
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21
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Ley S, Ley-Zaporozhan J. Novelties in imaging in pulmonary fibrosis and nodules. A narrative review. Pulmonology 2019; 26:39-44. [PMID: 31706882 DOI: 10.1016/j.pulmoe.2019.09.009] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/23/2019] [Accepted: 09/25/2019] [Indexed: 12/22/2022] Open
Abstract
In recent months two major fields of interest in pulmonary imaging have stood out: pulmonary fibrosis and pulmonary nodules. New guidelines have been released to define pulmonary fibrosis and subsequent studies have proved the value of these changes. In addition, new recommendations for classification of pulmonary nodules have been released. Radiological images are of major interest for automated and standardized analysis and so in both cases software tools using artificial intelligence were developed for visualization and quantification of the disease. These tools have been validated by human readers and demonstrated their capabilities. This review summarizes the new recommendations for classification of pulmonary fibrosis and nodules and reviews the capabilities of radiomics within these two entities.
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Affiliation(s)
- S Ley
- Chirurgisches Klinikum München Süd, Am Isarkanal 30, 81379 München, Germany.
| | - J Ley-Zaporozhan
- Chirurgisches Klinikum München Süd, Am Isarkanal 30, 81379 München, Germany
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22
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[Diffusion-weighted imaging-diagnostic supplement or alternative to contrast agents in early detection of malignancies?]. Radiologe 2019; 59:517-522. [PMID: 31065738 DOI: 10.1007/s00117-019-0532-7] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/26/2022]
Abstract
Medical research in the field of oncologic imaging diagnostics using magnetic resonance imaging increasingly includes diffusion-weighted imaging (DWI) sequences. The DWI sequences allow insights into different microstructural diffusion properties of water molecules in tissues depending on the sequence modification used and enable visual and quantitative analysis of the acquired imaging data. In DWI, the application of intravenous gadolinium-containing contrast agents is unnecessary and only the mobility of naturally occurring water molecules in tissues is quantified. These characteristics predispose DWI as a potential candidate for emerging as an independent diagnostic tool in selected cases and specific points in question. Current clinical diagnostic studies and the ongoing technical developments, including the increasing influence of artificial intelligence in radiology, support the growing importance of DWI. Especially with respect to selective approaches for early detection of malignancies, DWI could make an essential contribution as an eligible diagnostic tool; however, prior to discussing a broader clinical implementation, challenges regarding reliable data quality, standardization and quality assurance must be overcome.
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Zeng J, Liu Z, Shen G, Zhang Y, Li L, Wu Z, Luo D, Gu Q, Mao H, Wang L. MRI evaluation of pulmonary lesions and lung tissue changes induced by tuberculosis. Int J Infect Dis 2019; 82:138-146. [PMID: 30872041 DOI: 10.1016/j.ijid.2019.03.004] [Citation(s) in RCA: 20] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/30/2018] [Revised: 03/04/2019] [Accepted: 03/04/2019] [Indexed: 12/27/2022] Open
Abstract
OBJECTIVE To evaluate the utility of magnetic resonance imaging (MRI) with an advanced motion correction technique in characterizing lung tissue changes and lesions induced by pulmonary tuberculosis (TB). METHODS Sixty-three subjects with computed tomography (CT) features of pulmonary TB underwent lung MRI. All subjects with pulmonary TB were confirmed by acid-fast bacillus (AFB) testing or the detection of Mycobacterium tuberculosis. T2-weighted turbo spin echo (TSE) sequence MRI with the MultiVane motion correction technique was used to image the lungs. Routine lung CT images were obtained as reference. MRI and CT images were reviewed by multiple readers independently. The performance of MRI in depicting abnormalities induced by pulmonary TB and their morphological changes were evaluated and compared with the performance of CT. RESULTS Lung MRI found pulmonary abnormalities in all 63 TB subjects, with satisfactory quality. With the implementation of MultiVane for T2-weighted TSE sequences to reduce the motion correction effect, MRI showed excellent agreement with CT in detecting abnormal imaging features of pulmonary TB (κ=0.88, p<0.001), such as tree-in-bud sign, ground-glass opacity, consolidation, mass, and cavitation. MRI was advantageous in identifying caseation and liquefactive necrosis based on inhomogeneous signal distribution within consolidations and also in identifying mild pleural effusion. The optimized lung MRI was comparable to CT in detecting non-calcified nodules (κ=0.90), with overall sensitivity of 50.0%, 91.1%, and 100% for nodules of size <5 mm, 5-10 mm, and >10 mm, respectively. However, MRI was less effective in identifying lesions with calcification. CONCLUSIONS The clinical implementation of an optimized MRI protocol with the MultiVane motion correction technique for imaging pulmonary TB is feasible. Lung MRI without ionizing radiation is a promising alternative to the clinical standard CT, especially for pregnant women, children, adolescents, and patients requiring short-term and repeated follow-up observations.
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Affiliation(s)
- Jianbing Zeng
- Department of Radiology, The People's Hospital of Longhua, Shenzhen, Southern Medical University, Guangdong, China
| | - Zhou Liu
- Graduate School, Medical College of Nanchang University, Nanchang, Jiangxi, China; Department of Radiology and Imaging Sciences, Emory University School of Medicine, Atlanta, Georgia, USA; Department of Radiology, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital & Shenzhen Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Shenzhen, China
| | - Guanle Shen
- Department of Respiratory, People's Hospital of Longhua, Shenzhen, Guangdong, China
| | - Yuzhong Zhang
- Department of Radiology, The People's Hospital of Longhua, Shenzhen, Southern Medical University, Guangdong, China
| | - Li Li
- Department of Radiology, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital & Shenzhen Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Shenzhen, China
| | - Zhiqing Wu
- Department of Radiology, The People's Hospital of Longhua, Shenzhen, Southern Medical University, Guangdong, China
| | - Dehong Luo
- Department of Radiology, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital & Shenzhen Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Shenzhen, China
| | - Qingping Gu
- Department of Marketing, Philips Medical Systems Greater China, China
| | - Hui Mao
- Department of Radiology and Imaging Sciences, Emory University School of Medicine, Atlanta, Georgia, USA.
| | - Liya Wang
- Department of Radiology, The People's Hospital of Longhua, Shenzhen, Southern Medical University, Guangdong, China; Graduate School, Medical College of Nanchang University, Nanchang, Jiangxi, China; Department of Radiology and Imaging Sciences, Emory University School of Medicine, Atlanta, Georgia, USA.
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Meier-Schroers M, Homsi R, Schild HH, Thomas D. Lung cancer screening with MRI: characterization of nodules with different non-enhanced MRI sequences. Acta Radiol 2019; 60:168-176. [PMID: 29792040 DOI: 10.1177/0284185118778870] [Citation(s) in RCA: 19] [Impact Index Per Article: 3.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/14/2022]
Abstract
BACKGROUND There is increased interest in pulmonary magnetic resonance imaging (MRI) as a radiation-free alternative to computed tomography (CT) for lung cancer screening. PURPOSE To analyze MRI characteristics of pulmonary nodules with different non-enhanced sequences. MATERIAL AND METHODS Eighty-two participants of a lung cancer screening were included. MRI datasets of 32 individuals with 46 different nodules ≥ 6 mm were prospectively evaluated together with 50 controls by two readers. Acquired sequences were T2- short tau inversion recovery (STIR), T2, balanced steady-state free precession (bSSFP), 3D-T1, and diffusion-weighted imaging (DWI). Each sequence was randomly and separately viewed blinded to low-dose CT (LDCT). Size, shape, and contrast of nodules were evaluated on each sequence and then correlated with LDCT and histopathology. RESULTS All eight carcinomas were detected by T2-STIR, T2, and bSSFP, and 7/8 by 3D-T1. Contrast was significantly higher for malignant nodules on all sequences. The highest contrast ratio between malignant and benign nodules was provided by T2-STIR. Of eight carcinomas, seven showed restricted diffusion. Size measurement correlated significantly between MRI and LDCT. Sensitivity/specificity for nodules ≥ 6 mm was 85-89%/92-94% for T2-STIR, 80-87%/93-96% for T2, 65-70%/96-98% for bSSFP, and 63-67%/96-100% for 3D-T1. Seven of eight subsolid nodules were visible on T2-sequences with significantly lower lesion contrast compared to solid nodules. Two of eight subsolid nodules were detected by bSFFP, none by 3D-T1. All three calcified nodules were detected by 3D-T1, one by bSSFP, and none by T2-sequences. CONCLUSION Malignant as well as calcified and subsolid nodules seem to have distinctive characteristics on different MRI sequences. T2-imaging was most suitable for the detection of nodules ≥ 6 mm.
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Affiliation(s)
| | - Rami Homsi
- Department of Radiology, University of Bonn, Bonn, Germany
| | | | - Daniel Thomas
- Department of Radiology, University of Bonn, Bonn, Germany
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Use of Magnetic Resonance Imaging for N-Staging in Patients with Non-Small Cell Lung Cancer. A Systematic Review. ACTA ACUST UNITED AC 2019. [DOI: 10.1016/j.arbr.2018.03.013] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/23/2022]
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Multiparametric MRI for organ quality assessment in a porcine Ex-Vivo lung perfusion system. PLoS One 2018; 13:e0209103. [PMID: 30589907 PMCID: PMC6307703 DOI: 10.1371/journal.pone.0209103] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/13/2018] [Accepted: 11/28/2018] [Indexed: 11/19/2022] Open
Abstract
INTRODUCTION Ex-vivo lung perfusion (EVLP) is an emerging technique promising an expansion of the donor pool and improvements in the outcome after lung transplantation. Reliable biomarkers for local assessment of organ function in the EVLP system are intensely sought after. This study aims to evaluate the feasibility of multiparametric functional magnetic resonance imaging (fMRI) in an EVLP system in a porcine aspiration model. MATERIAL AND METHODS Seven female pigs were anesthetized and gastric juice was instilled in the right lower lobe bronchus to simulate aspiration. Left lungs served as control. Lungs were removed and installed in a modified EVLP system. In the 12-hour EVLP run three sequential MRI scans were performed. Oxygen-washout time, Fourier Decomposition derived ventilation and perfusion, and dynamic contrast enhanced imaging derived perfusion were calculated. PaO2:FiO2 ratio was determined and correlated. End-point histology and computed tomography served as control. RESULTS All animals completed the protocol. MRI structural images showed infiltrates in lungs after aspiration comparable to CT scans. Ventilation was significantly (p = 0.016) reduced while perfusion was increased (p = 0.016) in lungs after aspiration. Non-contrast dependent Fourier decomposition perfusion showed good correlation (R2 = 0.67) to dynamic contrast enhanced derived perfusion. Oxygen washout time was significantly increased (p = 0.016) in lungs after aspiration and showed a correlation with the PaO2:FiO2 ratio (R2 = 0.54). CONCLUSION Multiparametric fMRI for local assessment of organ function is feasible in EVLP and detects alterations in lung function following aspiration with correlation to clinical parameters. fMRI may improve organ assessment in ex-vivo perfusion systems, leading to a better selection of segments suitable for transplant.
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Bae K, Jeon KN, Hwang MJ, Lee JS, Ha JY, Ryu KH, Kim HC. Comparison of lung imaging using three-dimensional ultrashort echo time and zero echo time sequences: preliminary study. Eur Radiol 2018; 29:2253-2262. [PMID: 30547204 DOI: 10.1007/s00330-018-5889-x] [Citation(s) in RCA: 45] [Impact Index Per Article: 7.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/02/2018] [Revised: 09/29/2018] [Accepted: 11/13/2018] [Indexed: 12/19/2022]
Abstract
OBJECTIVE To determine the feasibility of using high-resolution volumetric zero echo time (ZTE) sequence in routine lung magnetic resonance imaging (MRI) and compare free breathing 3D ultrashort echo time (UTE) and ZTE lung MRI in terms of image quality and small-nodule detection. MATERIALS AND METHODS Our Institutional Review Board approved this study. Twenty patients underwent both UTE and ZTE sequences during routine lung MR. UTE and ZTE images were compared in terms of subjective image quality and detection of lung parenchymal signal, intrapulmonary structures, and sub-centimeter nodules. Differences between the two sequences were compared through statistical analysis. RESULTS Lung parenchyma showed significantly (p < 0.05) higher signal-to-noise ratio (SNR) in ZTE than in UTE. The SNR and contrast-to-noise ratio (CNR) of peripheral bronchus and small pulmonary arteries were significantly (all p < 0.05) higher in ZTE. Subjective image quality evaluated by two independent radiologists in terms of depicting normal structures and overall acceptability was superior in ZTE (p < 0.05). The diagnostic accuracy for sub-centimeter nodules was significantly higher for ZTE (reader 1: AUC, 0.972; p = 0.044; reader 2: AUC, 0.946; p = 0.045) than that for UTE (reader 1: AUC, 0.885; reader 2: AUC, 0.855). Mean scan time was 131 s (125-141 s) in ZTE and 467 s (453-508 s) in UTE. ZTE images were obtained with less acoustic noise. CONCLUSION Implementing ZTE as an additional sequence in routine lung MR is feasible. ZTE can provide high-resolution pulmonary structural information with better SNR and CNR using shorter time than UTE. KEY POINTS • Both UTE and ZTE techniques use very short TEs to capture signals from very short T2/T2* tissues. • ZTE is superior in capturing lung parenchymal signal than UTE. • ZTE provides high-resolution structural information with better SNR and CNR for normal intrapulmonary structures and small nodules using shorter scan time than UTE.
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Affiliation(s)
- Kyungsoo Bae
- Department of Radiology, Institute of Health Sciences, Gyeongsang National University School of Medicine, Jinju, South Korea.,Department of Radiology, Gyeongsang National University Changwon Hospital, 555 Samjeongja-dong, Seongsan-gu, Changwon, 51472, South Korea
| | - Kyung Nyeo Jeon
- Department of Radiology, Institute of Health Sciences, Gyeongsang National University School of Medicine, Jinju, South Korea. .,Department of Radiology, Gyeongsang National University Changwon Hospital, 555 Samjeongja-dong, Seongsan-gu, Changwon, 51472, South Korea.
| | - Moon Jung Hwang
- General Electronics (GE) Healthcare Korea, Seoul, South Korea
| | - Joon Sung Lee
- General Electronics (GE) Healthcare Korea, Seoul, South Korea
| | - Ji Young Ha
- Department of Radiology, Gyeongsang National University Changwon Hospital, 555 Samjeongja-dong, Seongsan-gu, Changwon, 51472, South Korea
| | - Kyeong Hwa Ryu
- Department of Radiology, Gyeongsang National University Changwon Hospital, 555 Samjeongja-dong, Seongsan-gu, Changwon, 51472, South Korea
| | - Ho Cheol Kim
- Department of Internal Medicine, Gyeongsang National University School of Medicine, Jinju, South Korea
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Meier-Schroers M, Homsi R, Gieseke J, Schild HH, Thomas D. Lung cancer screening with MRI: Evaluation of MRI for lung cancer screening by comparison of LDCT- and MRI-derived Lung-RADS categories in the first two screening rounds. Eur Radiol 2018; 29:898-905. [DOI: 10.1007/s00330-018-5607-8] [Citation(s) in RCA: 17] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/05/2017] [Revised: 01/15/2018] [Accepted: 02/12/2018] [Indexed: 12/19/2022]
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Response to “Commentary on: Lung cancer screening with MRI: results of the first screening round”: Ngam Pei Ing et al. J Cancer Res Clin Oncol 2018; 144:1397-1398. [DOI: 10.1007/s00432-018-2660-2] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/27/2018] [Accepted: 04/27/2018] [Indexed: 10/16/2022]
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Brea TP, Raviña AR, Villamor JMC, Gómez AG, de Alegría AM, Valdés L. Use of Magnetic Resonance Imaging for N-Staging in Patients with Non-Small Cell Lung Cancer. A Systematic Review. Arch Bronconeumol 2018; 55:9-16. [PMID: 29803524 DOI: 10.1016/j.arbres.2018.03.007] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/28/2017] [Revised: 02/09/2018] [Accepted: 03/12/2018] [Indexed: 11/18/2022]
Abstract
INTRODUCTION The aim of this study is to assess the diagnostic value of the magnetic resonance imaging (MRI) in differentiating metastasic from non-metastatic lymph nodes in NSCLC patients compared with computed tomography (CT) and fluorodeoxyglucose (FDG) - positron emission tomography (PET) or both combined. METHODS Twenty-three studies (19 studies and 4 meta-analysis) with sample size ranging between 22 and 250 patients were included in this analysis. MRI, regardless of the sequence obtained, where used for the evaluation of N-staging of NSCLC. Histopathology results and clinical or imaging follow-up were used as the reference standard. Studies were excluded if the sample size was less than 20 cases, if less than 10 lymph nodes assessment were presented or studies where standard reference was not used. Papers not reporting sufficient data were also excluded. RESULTS As compared to CT and PET, MRI demonstrated a higher sensitivity, specificity and diagnostic accuracy in the diagnosis of metastatic or non-metastatic lymph nodes in N-staging in NSCLC patients. No study considered MRI inferior than conventional techniques (CT, PET or PET/CT). Other outstanding results of this review are fewer false positives with MRI in comparison with PET, their superiority over PET/CT to detect non-resectable lung cancer, to diagnosing infiltration of adjacent structures or brain metastasis and detecting small nodules. CONCLUSION MRI has shown at least similar or better results in diagnostic accuracy to differentiate metastatic from non-metastatic mediastinal lymph nodes. This suggests that MRI could play a significant role in mediastinal NSCLC staging.
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Affiliation(s)
- Tara Pereiro Brea
- University Hospital Complex, Pneumology Service, Santiago de Compostela, Spain.
| | - Alberto Ruano Raviña
- Medicine School. University of Santiago. Area of Preventive Medicine and Public Health, Santiago de Compostela, Spain; CIBER of Epidemiology and Public Health. CIBERESP, Madrid, Spain
| | | | - Antonio Golpe Gómez
- University Hospital Complex, Pneumology Service, Santiago de Compostela, Spain
| | | | - Luís Valdés
- University Hospital Complex, Pneumology Service, Santiago de Compostela, Spain; Interdisciplinary Group of Research in Pneumology, Institute of Sanitary Investigations in Santiago (IDIS), Santiago de Compostela, Spain
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Ngam PI, Ling JZJ. "Commentary on: Lung cancer screening with MRI: results of the first screening round"-Michael Meier-Schroers et al. J Cancer Res Clin Oncol 2018; 144:1395-1396. [PMID: 29748712 DOI: 10.1007/s00432-018-2655-z] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/19/2018] [Accepted: 04/27/2018] [Indexed: 11/26/2022]
Affiliation(s)
- Pei Ing Ngam
- Department of Diagnostic Imaging, National University Hospital Singapore, 5 Lower Kent Ridge Rd, Singapore, 119074, Singapore.
| | - Joanna Zhi Jie Ling
- Singapore Clinical Research Institute, 31 Biopolis Way, Singapore, 138669, Singapore
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