1
|
Ozawa Y, Nagata H, Ueda T, Oshima Y, Hamabuchi N, Yoshikawa T, Takenaka D, Ohno Y. Chest Magnetic Resonance Imaging: Advances and Clinical Care. Clin Chest Med 2024; 45:505-529. [PMID: 38816103 DOI: 10.1016/j.ccm.2024.02.017] [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] [Indexed: 06/01/2024]
Abstract
Many promising study results as well as technical advances for chest magnetic resonance imaging (MRI) have demonstrated its academic and clinical potentials during the last few decades, although chest MRI has been used for relatively few clinical situations in routine clinical practice. However, the Fleischner Society as well as the Japanese Society of Magnetic Resonance in Medicine have published a few white papers to promote chest MRI in routine clinical practice. In this review, we present clinical evidence of the efficacy of chest MRI for 1) thoracic oncology and 2) pulmonary vascular diseases.
Collapse
Affiliation(s)
- Yoshiyuki Ozawa
- Department of Diagnostic Radiology, Fujita Health University School of Medicine, Toyoake, Aichi, Japan
| | - Hiroyuki Nagata
- Joint Research Laboratory of Advanced Medical Imaging, Fujita Health University School of Medicine, Toyoake, Aichi, Japan
| | - Takahiro Ueda
- Department of Diagnostic Radiology, Fujita Health University School of Medicine, Toyoake, Aichi, Japan
| | - Yuka Oshima
- Department of Radiology, Fujita Health University School of Medicine, Toyoake, Aichi, Japan
| | - Nayu Hamabuchi
- Department of Radiology, Fujita Health University School of Medicine, Toyoake, Aichi, Japan
| | - Takeshi Yoshikawa
- Department of Diagnostic Radiology, Hyogo Cancer Center, Akashi, Hyogo, Japan
| | - Daisuke Takenaka
- Department of Diagnostic Radiology, Fujita Health University School of Medicine, Toyoake, Aichi, Japan; Department of Diagnostic Radiology, Hyogo Cancer Center, Akashi, Hyogo, Japan
| | - Yoshiharu Ohno
- Department of Diagnostic Radiology, Fujita Health University School of Medicine, Toyoake, Aichi, Japan; Joint Research Laboratory of Advanced Medical Imaging, Fujita Health University School of Medicine, Toyoake, Aichi, Japan.
| |
Collapse
|
2
|
Li C, Li C, Zhou J, Wang Y, Wu H, Xu L, Li Y, Sui X, Jiang G, Li Y, Hu Z, Tian J, Yang F. Application of Epithelial Growth Factor Receptor-Targeted Magnetic Resonance Imaging and Near-Infrared II Dual-Modal Probe in Lung Cancer Diagnosis and Surgical Resection. Mol Pharm 2024. [PMID: 38686930 DOI: 10.1021/acs.molpharmaceut.3c01137] [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: 05/02/2024]
Abstract
There has been an increase in the use of molecular probe diagnostic techniques for lung cancer, and magnetic resonance imaging (MRI) offers specific advantages for diagnosing pulmonary carcinoma. Furthermore, advancements in near-infrared II (NIR-II) fluorescence have provided a new method for precise intraoperative tumor resection. However, few probes combine preoperative diagnosis with intraoperative imaging. This study aims to fill this research void by employing a dual-modal probe that targets the epidermal growth factor receptor for MR and NIR-II imaging, enabling the preoperative diagnosis of lung cancer using MRI and precise intraoperative tumor localization using NIR-II with a single probe. The imaging effects and targeting ability of the probe were confirmed in cell lines, mouse models, and clinical samples. The MR signal decreased within 24 h in the patient-derived xenograft mouse model. The average signal-to-background ratio of NIR-II reached 3.98 ± 0.27. The clinical sample also showed a decrease in the T2 signal using MRI, and the NIR-II optical signal-to-background ratio was 3.29. It is expected that this probe can improve the diagnostic rate of lung cancer using MRI and enable precise intraoperative tumor resection using NIR-II.
Collapse
Affiliation(s)
- Chao Li
- Peking University People's Hospital, 11 Xizhimen South Street, Beijing 100044, China
| | - Changjian Li
- School of Engineering Medicine, Beihang University, Beijing 100191, China
- Key Laboratory of Big Data-Based Precision Medicine (Beihang University), Ministry of Industry and Information Technology, Beijing 100191, China
| | - Jian Zhou
- Peking University People's Hospital, 11 Xizhimen South Street, Beijing 100044, China
| | - Yueqi Wang
- CAS Key Laboratory of Molecular Imaging, Beijing Key Laboratory of Molecular Imaging, Institute of Automation, Chinese Academy of Sciences, Beijing 100190, China
| | - Hainan Wu
- School of Engineering Medicine, Beihang University, Beijing 100191, China
| | - Luzheng Xu
- Peking University Medical and Health Analysis Center, Beijing 100191, China
| | - Yifeng Li
- School of Engineering Medicine, Beihang University, Beijing 100191, China
| | - Xizhao Sui
- Peking University People's Hospital, 11 Xizhimen South Street, Beijing 100044, China
| | - Guanchao Jiang
- Peking University People's Hospital, 11 Xizhimen South Street, Beijing 100044, China
| | - Yun Li
- Peking University People's Hospital, 11 Xizhimen South Street, Beijing 100044, China
| | - Zhenhua Hu
- CAS Key Laboratory of Molecular Imaging, Beijing Key Laboratory of Molecular Imaging, Institute of Automation, Chinese Academy of Sciences, Beijing 100190, China
| | - Jie Tian
- School of Engineering Medicine, Beihang University, Beijing 100191, China
- Key Laboratory of Big Data-Based Precision Medicine (Beihang University), Ministry of Industry and Information Technology, Beijing 100191, China
- CAS Key Laboratory of Molecular Imaging, Beijing Key Laboratory of Molecular Imaging, Institute of Automation, Chinese Academy of Sciences, Beijing 100190, China
| | - Fan Yang
- Peking University People's Hospital, 11 Xizhimen South Street, Beijing 100044, China
| |
Collapse
|
3
|
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.
Collapse
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
| |
Collapse
|
4
|
Ohno Y, Ozawa Y, Nagata H, Ueda T, Yoshikawa T, Takenaka D, Koyama H. Lung Magnetic Resonance Imaging: Technical Advancements and Clinical Applications. Invest Radiol 2024; 59:38-52. [PMID: 37707840 DOI: 10.1097/rli.0000000000001017] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 09/15/2023]
Abstract
ABSTRACT Since lung magnetic resonance imaging (MRI) became clinically available, limited clinical utility has been suggested for applying MRI to lung diseases. Moreover, clinical applications of MRI for patients with lung diseases or thoracic oncology may vary from country to country due to clinical indications, type of health insurance, or number of MR units available. Because of this situation, members of the Fleischner Society and of the Japanese Society for Magnetic Resonance in Medicine have published new reports to provide appropriate clinical indications for lung MRI. This review article presents a brief history of lung MRI in terms of its technical aspects and major clinical indications, such as (1) what is currently available, (2) what is promising but requires further validation or evaluation, and (3) which developments warrant research-based evaluations in preclinical or patient studies. We hope this article will provide Investigative Radiology readers with further knowledge of the current status of lung MRI and will assist them with the application of appropriate protocols in routine clinical practice.
Collapse
Affiliation(s)
- Yoshiharu Ohno
- From the Department of Diagnostic Radiology, Fujita Health University School of Medicine, Toyoake, Aichi, Japan (Y. Ohno); Joint Research Laboratory of Advanced Medical Imaging, Fujita Health University School of Medicine, Toyoake, Aichi, Japan (Y. Ohno and H.N.); Department of Radiology, Fujita Health University School of Medicine, Toyoake, Aichi, Japan (Y. Ozawa and T.U.); Department of Diagnostic Radiology, Hyogo Cancer Center, Akashi, Hyogo, Japan (T.Y., D.T.); and Department of Radiology, Advanced Diagnostic Medical Imaging, Kobe University Graduate School of Medicine, Kobe, Hyogo, Japan (H.K.)
| | | | | | | | | | | | | |
Collapse
|
5
|
Lens G, Ahmadi Bidakhvidi N, Vandecaveye V, Grauwels S, Laenen A, Deckers W, Peeters R, Dresen RC, Dekervel J, Verslype C, Nackaerts K, Clement PM, Van Cutsem E, Koole M, Goffin K, Van Laere K, Deroose CM. Intra-individual qualitative and quantitative comparison of [ 68Ga]Ga-DOTATATE PET/CT and PET/MRI. Ther Adv Med Oncol 2023; 15:17588359231189133. [PMID: 37885461 PMCID: PMC10599114 DOI: 10.1177/17588359231189133] [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: 02/27/2023] [Accepted: 07/04/2023] [Indexed: 10/28/2023] Open
Abstract
Background Somatostatin receptor (SSTR) positron emission tomography (PET) is a cornerstone of neuroendocrine tumor (NET) management. Hybrid PET/magnetic resonance imaging (MRI) is now available for NET-imaging, next to PET/computed tomography (CT). Objectives To determine whether CT or MRI is the best hybrid partner for [68Ga]Ga-DOTATATE PET. Design Monocentric, prospective study. Methods Patients received a same-day [68Ga]Ga-DOTATATE PET/CT and subsequent PET/MRI, for suspicion of NET, (re)staging or peptide receptor radionuclide therapy-selection. The union (PETunion) of malignant lesions detected on PETCT and PETMRI was the reference standard. Concordance of detection of malignant lesions in an organ was measured between PETunion and CT and PETunion and MRI. Seven bins were used to categorize the number of malignant lesions, containing following ordinal variables: 0, 1, 2-5, 6-10, 11-20, >20 countable and diffuse/uncountable. The difference in number of malignant lesions was obtained as the difference in bin level ('Δbin') between PETunion and CT and PETunion and MRI with a Δbin closer to zero implying a higher concordance rate. Results Twenty-nine patients were included. Primary tumors included 17 gastroenteropancreatic-NETs, 1 colon neuroendocrine carcinoma, 7 lung-NETs and 2 meningiomas. Patient level concordance with PETunion was 96% for MRI and 67% for CT (p = 0.039). Organ level concordance with PETunion was 74% for MRI and 40% for CT (p < 0.0001). In bone, there was a higher concordance rate for MRI compared to CT, 92% and 33%, respectively (p = 0.016). Overall, a mean Δbin of 0.5 ± 1.1 for PETunion/MRI and 1.4 ± 1.2 for PETunion/CT (p < 0.0001) was noted. In liver, a mean Δbin of 0.0 ± 1.1 for PETunion/MRI and 1.7 ± 1.2 for PETunion/CT was observed (p = 0.0078). In bone, a mean Δbin closer to zero was observed for PETunion/MRI compared to PETunion/CT, 0.6 ± 1.4 and 2.0 ± 1.5, respectively (p = 0.0098). Conclusions Compared to SSTR PET/CT, SSTR PET/MRI had a higher patient and organ level concordance for malignant tumoral involvement and number of malignant lesions, with a clear added value in bone and liver specifically.
Collapse
Affiliation(s)
- Géraldine Lens
- Nuclear Medicine, University Hospitals Leuven, Leuven, Belgium
| | - Niloefar Ahmadi Bidakhvidi
- Nuclear Medicine, University Hospitals Leuven, Leuven, BelgiumNuclear Medicine and Molecular Imaging, Department of Imaging and Pathology, KU Leuven, Leuven, Belgium
| | | | | | - Annouschka Laenen
- Interuniversity Institute for Biostatistics and Statistical Bioinformatics, Leuven, Belgium
| | - Wies Deckers
- Nuclear Medicine, University Hospitals Leuven, Leuven, Belgium
| | | | | | - Jeroen Dekervel
- Digestive Oncology, University Hospitals Leuven, Leuven, Belgium
| | - Chris Verslype
- Digestive Oncology, University Hospitals Leuven, Leuven, Belgium
| | | | - Paul M. Clement
- General Medical Oncology, University Hospitals Leuven, Leuven, Belgium
| | - Eric Van Cutsem
- Digestive Oncology, University Hospitals Leuven, Leuven, Belgium
| | - Michel Koole
- Nuclear Medicine and Molecular Imaging, Department of Imaging and Pathology, KU Leuven, Leuven, Belgium
| | - Karolien Goffin
- Nuclear Medicine, University Hospitals Leuven, Leuven, BelgiumNuclear Medicine and Molecular Imaging, Department of Imaging and Pathology, KU Leuven, Leuven, Belgium
| | - Koen Van Laere
- Nuclear Medicine, University Hospitals Leuven, Leuven, BelgiumNuclear Medicine and Molecular Imaging, Department of Imaging and Pathology, KU Leuven, Leuven, Belgium
| | - Christophe M. Deroose
- Nuclear Medicine, University Hospitals Leuven, Leuven, Belgium
- Nuclear Medicine and Molecular Imaging, Department of Imaging and Pathology, KU Leuven, Herestraat 49, 3000 Leuven, Flanders, Belgium
| |
Collapse
|
6
|
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.
Collapse
|
7
|
Jannusch K, Bruckmann NM, Geuting CJ, Morawitz J, Dietzel F, Rischpler C, Herrmann K, Bittner AK, Hoffmann O, Mohrmann S, Quick HH, Umutlu L, Antoch G, Kirchner J. Lung Nodules Missed in Initial Staging of Breast Cancer Patients in PET/MRI-Clinically Relevant? Cancers (Basel) 2022; 14:cancers14143454. [PMID: 35884513 PMCID: PMC9321171 DOI: 10.3390/cancers14143454] [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: 06/08/2022] [Revised: 07/12/2022] [Accepted: 07/14/2022] [Indexed: 12/24/2022] Open
Abstract
Simple Summary Image-based primary staging in women with newly-diagnosed breast cancer is important to exclude distant metastases, which affect up to 10% of women. The increasing implementation of [18F]FDG-PET/MRI as a radiation-saving primary staging tool bears the risk of missing lung nodules. Thus, chest CT serves as the diagnostic of choice for the detection and classification of pulmonary nodules. The aim of this study was the evaluation of the clinical relevance of missed lung nodules at initial staging of breast cancer patients in [18F]FDG-PET/MRI compared with CT. We demonstrated in an homogeneous population of 152 patients that all patients with newly-diagnosed breast cancer and clinically-relevant lung nodules were detected at initial [18F]FDG-PET/MRI staging. However, due to the lower sensitivity of MRI in detecting lung nodules, a small proportion of clinically-relevant lung nodules were missed. Thus, a supplemental low-dose chest CT after neoadjuvant therapy should be considered for backup. Abstract Purpose: The evaluation of the clinical relevance of missed lung nodules at initial staging of breast cancer patients in [18F]FDG-PET/MRI compared with CT. Methods: A total of 152 patients underwent an initial whole-body [18F]FDG-PET/MRI and a thoracoabdominal CT for staging. Presence, size, shape and location for each lung nodule in [18F]FDG-PET/MRI was noted. The reference standard was established by taking initial CT and follow-up imaging into account (a two-step approach) to identify clinically-relevant lung nodules. Patient-based and lesion-based data analysis was performed. Results: No patient with clinically-relevant lung nodules was missed on a patient-based analysis with MRI VIBE, while 1/84 females was missed with MRI HASTE (1%). Lesion-based analysis revealed 4/96 (4%, VIBE) and 8/138 (6%, HASTE) missed clinically-relevant lung nodules. The average size of missed lung nodules was 3.2 mm ± 1.2 mm (VIBE) and 3.6 mm ± 1.4 mm (HASTE) and the predominant location was in the left lower quadrant and close to the hilum. Conclusion: All patients with newly-diagnosed breast cancer and clinically-relevant lung nodules were detected at initial [18F]FDG-PET/MRI staging. However, due to the lower sensitivity in detecting lung nodules, a small proportion of clinically-relevant lung nodules were missed. Thus, supplemental low-dose chest CT after neoadjuvant therapy should be considered for backup.
Collapse
Affiliation(s)
- Kai Jannusch
- Department of Diagnostic and Interventional Radiology, Medical Faculty, University Dusseldorf, 40225 Dusseldorf, Germany; (K.J.); (N.M.B.); (C.J.G.); (J.M.); (F.D.); (G.A.)
| | - Nils Martin Bruckmann
- Department of Diagnostic and Interventional Radiology, Medical Faculty, University Dusseldorf, 40225 Dusseldorf, Germany; (K.J.); (N.M.B.); (C.J.G.); (J.M.); (F.D.); (G.A.)
| | - Charlotte Johanna Geuting
- Department of Diagnostic and Interventional Radiology, Medical Faculty, University Dusseldorf, 40225 Dusseldorf, Germany; (K.J.); (N.M.B.); (C.J.G.); (J.M.); (F.D.); (G.A.)
| | - Janna Morawitz
- Department of Diagnostic and Interventional Radiology, Medical Faculty, University Dusseldorf, 40225 Dusseldorf, Germany; (K.J.); (N.M.B.); (C.J.G.); (J.M.); (F.D.); (G.A.)
| | - Frederic Dietzel
- Department of Diagnostic and Interventional Radiology, Medical Faculty, University Dusseldorf, 40225 Dusseldorf, Germany; (K.J.); (N.M.B.); (C.J.G.); (J.M.); (F.D.); (G.A.)
| | - Christoph Rischpler
- Department of Nuclear Medicine, University Hospital Essen, University of Duisburg-Essen, 45147 Essen, Germany; (C.R.); (K.H.)
| | - Ken Herrmann
- Department of Nuclear Medicine, University Hospital Essen, University of Duisburg-Essen, 45147 Essen, Germany; (C.R.); (K.H.)
| | - Ann-Kathrin Bittner
- Department Gynecology and Obstetrics, University Hospital Essen, University of Duisburg-Essen, 45147 Essen, Germany; (A.-K.B.); (O.H.)
| | - Oliver Hoffmann
- Department Gynecology and Obstetrics, University Hospital Essen, University of Duisburg-Essen, 45147 Essen, Germany; (A.-K.B.); (O.H.)
| | - Svjetlana Mohrmann
- Department of Gynecology, Medical Faculty, University Dusseldorf, 40225 Dusseldorf, Germany;
| | - Harald H. Quick
- High-Field and Hybrid MR Imaging, University Hospital Essen, University Duisburg-Essen, 45147 Essen, Germany;
- Erwin L. Hahn Institute for Magnetic Resonance Imaging, University Duisburg-Essen, 45141 Essen, Germany
| | - Lale Umutlu
- Department of Diagnostic and Interventional Radiology and Neuroradiology, University Hospital Essen, University of Duisburg-Essen, 45147 Essen, Germany;
| | - Gerald Antoch
- Department of Diagnostic and Interventional Radiology, Medical Faculty, University Dusseldorf, 40225 Dusseldorf, Germany; (K.J.); (N.M.B.); (C.J.G.); (J.M.); (F.D.); (G.A.)
| | - Julian Kirchner
- Department of Diagnostic and Interventional Radiology, Medical Faculty, University Dusseldorf, 40225 Dusseldorf, Germany; (K.J.); (N.M.B.); (C.J.G.); (J.M.); (F.D.); (G.A.)
- Correspondence: ; Tel.: +49-211-8-11-77-54
| |
Collapse
|
8
|
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.
Collapse
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
| |
Collapse
|
9
|
Coronary Computed Tomography Angiography Results in More Computed Tomography Chest Follow-up for Incidental Findings at 1 Year Relative to Stress-perfusion Cardiac Magnetic Resonance Imaging. J Thorac Imaging 2022; 37:292-299. [DOI: 10.1097/rti.0000000000000642] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/26/2022]
|
10
|
Bak SH, Kim C, Kim CH, Ohno Y, Lee HY. Magnetic resonance imaging for lung cancer: a state-of-the-art review. PRECISION AND FUTURE MEDICINE 2022. [DOI: 10.23838/pfm.2021.00170] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/23/2022] Open
|
11
|
Study on the Effect of MRI in the Diagnosis of Benign and Malignant Thoracic Tumors. DISEASE MARKERS 2021; 2021:3265561. [PMID: 34966464 PMCID: PMC8712135 DOI: 10.1155/2021/3265561] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 10/20/2021] [Revised: 11/03/2021] [Accepted: 11/23/2021] [Indexed: 11/18/2022]
Abstract
In order to investigate the effectiveness and accuracy of magnetic resonance imaging (MRI) in the diagnosis of benign and malignant thoracic tumors, the research retrospectively selected 80 patients with thoracic tumors admitted from May 2019 to May 2020 as the study subject and all patients were underwent MRI detection. Using pathological diagnostic results as the gold standard, the research analyzed the detection of benign and malignant thoracic tumors by MRI, as well as the diagnostic sensitivity and specificity. After pathological diagnosis, there were 35 malignant tumors and 45 benign tumors. 41 cases of malignant tumors and 39 cases of benign tumors were diagnosed by MRI, with a diagnostic sensitivity of 80.00%, a diagnostic specificity of 71.11%, and a diagnostic compliance rate of 75.00%. In the MRI diagnosis of tumors in different parts of the chest, the diagnostic sensitivity for lung tumors, mediastinal tumors, chest wall tumors, and esophageal tumors was 83.33%, 71.43%, 83.33%, 75.00%, and 87.50%, respectively, and the specificity was 66.67%, 77.78%, 57.14%, 50.00%, and 91.67% according to and breast tumors, respectively. And the accuracy was 73.33%, 75.00%, 69.23, 62.50%, and 90.00%, respectively, with the highest diagnostic sensitivity, specificity, and accuracy for breast tumors. MRI has a good effect on the diagnosis of benign and malignant thoracic tumors and has a high diagnostic value, which is helpful to identify the location, nature, source, and lesion scope of the tumor. It is safe and worthy of promotion.
Collapse
|
12
|
Wan Q, Zhou J, Xia X, Hu J, Wang P, Peng Y, Zhang T, Sun J, Song Y, Yang G, Li X. Diagnostic Performance of 2D and 3D T2WI-Based Radiomics Features With Machine Learning Algorithms to Distinguish Solid Solitary Pulmonary Lesion. Front Oncol 2021; 11:683587. [PMID: 34868905 PMCID: PMC8637439 DOI: 10.3389/fonc.2021.683587] [Citation(s) in RCA: 13] [Impact Index Per Article: 4.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/21/2021] [Accepted: 10/29/2021] [Indexed: 11/13/2022] Open
Abstract
Objective To evaluate the performance of 2D and 3D radiomics features with different machine learning approaches to classify SPLs based on magnetic resonance(MR) T2 weighted imaging (T2WI). Material and Methods A total of 132 patients with pathologically confirmed SPLs were examined and randomly divided into training (n = 92) and test datasets (n = 40). A total of 1692 3D and 1231 2D radiomics features per patient were extracted. Both radiomics features and clinical data were evaluated. A total of 1260 classification models, comprising 3 normalization methods, 2 dimension reduction algorithms, 3 feature selection methods, and 10 classifiers with 7 different feature numbers (confined to 3–9), were compared. The ten-fold cross-validation on the training dataset was applied to choose the candidate final model. The area under the receiver operating characteristic curve (AUC), precision-recall plot, and Matthews Correlation Coefficient were used to evaluate the performance of machine learning approaches. Results The 3D features were significantly superior to 2D features, showing much more machine learning combinations with AUC greater than 0.7 in both validation and test groups (129 vs. 11). The feature selection method Analysis of Variance(ANOVA), Recursive Feature Elimination(RFE) and the classifier Logistic Regression(LR), Linear Discriminant Analysis(LDA), Support Vector Machine(SVM), Gaussian Process(GP) had relatively better performance. The best performance of 3D radiomics features in the test dataset (AUC = 0.824, AUC-PR = 0.927, MCC = 0.514) was higher than that of 2D features (AUC = 0.740, AUC-PR = 0.846, MCC = 0.404). The joint 3D and 2D features (AUC=0.813, AUC-PR = 0.926, MCC = 0.563) showed similar results as 3D features. Incorporating clinical features with 3D and 2D radiomics features slightly improved the AUC to 0.836 (AUC-PR = 0.918, MCC = 0.620) and 0.780 (AUC-PR = 0.900, MCC = 0.574), respectively. Conclusions After algorithm optimization, 2D feature-based radiomics models yield favorable results in differentiating malignant and benign SPLs, but 3D features are still preferred because of the availability of more machine learning algorithmic combinations with better performance. Feature selection methods ANOVA and RFE, and classifier LR, LDA, SVM and GP are more likely to demonstrate better diagnostic performance for 3D features in the current study.
Collapse
Affiliation(s)
- Qi Wan
- Department of Radiology, The First Affiliated Hospital of Guangzhou Medical University, Guangzhou, China
| | - Jiaxuan Zhou
- Department of Radiology, The First Affiliated Hospital of Guangzhou Medical University, Guangzhou, China
| | - Xiaoying Xia
- Department of Radiology, The First Affiliated Hospital of Guangzhou Medical University, Guangzhou, China
| | - Jianfeng Hu
- Department of Radiology, The First Affiliated Hospital of Guangzhou Medical University, Guangzhou, China
| | - Peng Wang
- Department of Radiology, The First Affiliated Hospital of Guangzhou Medical University, Guangzhou, China
| | - Yu Peng
- Department of Radiology, The First Affiliated Hospital of Guangzhou Medical University, Guangzhou, China
| | | | | | - Yang Song
- Shanghai Key Laboratory of Magnetic Resonance, East China Normal University, Shanghai, China
| | - Guang Yang
- Shanghai Key Laboratory of Magnetic Resonance, East China Normal University, Shanghai, China
| | - Xinchun Li
- Department of Radiology, The First Affiliated Hospital of Guangzhou Medical University, Guangzhou, China
| |
Collapse
|
13
|
Affiliation(s)
- Mark O Wielpütz
- From the Translational Lung Research Center (TLRC), German Center for Lung Research (DZL), University of Heidelberg, Im Neuenheimer Feld 156, 69120 Heidelberg, Germany; Department of Diagnostic and Interventional Radiology, University of Heidelberg, Heidelberg, Germany; and Department of Diagnostic and Interventional Radiology with Nuclear Medicine, Thoraxklinik at University of Heidelberg, Heidelberg, Germany
| |
Collapse
|
14
|
Ohno Y, Takenaka D, Yoshikawa T, Yui M, Koyama H, Yamamoto K, Hamabuchi N, Shigemura C, Watanabe A, Ueda T, Ikeda H, Hattori H, Murayama K, Toyama H. Efficacy of Ultrashort Echo Time Pulmonary MRI for Lung Nodule Detection and Lung-RADS Classification. Radiology 2021; 302:697-706. [PMID: 34846203 DOI: 10.1148/radiol.211254] [Citation(s) in RCA: 17] [Impact Index Per Article: 5.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/17/2022]
Abstract
Background Pulmonary MRI with ultrashort echo time (UTE) has been compared with chest CT for nodule detection and classification. However, direct comparisons of these methods' capabilities for Lung CT Screening Reporting and Data System (Lung-RADS) evaluation remain lacking. Purpose To compare the capabilities of pulmonary MRI with UTE with those of standard- or low-dose thin-section CT for Lung-RADS classification. Materials and Methods In this prospective study, standard- and low-dose chest CT (270 mA and 60 mA, respectively) and MRI with UTE were used to examine consecutive participants enrolled between January 2017 and December 2020 who met American College of Radiology Appropriateness Criteria for lung cancer screening with low-dose CT. Probability of nodule presence was assessed for all methods with a five-point visual scoring system by two board-certified radiologists. All nodules were then evaluated in terms of their Lung-RADS classification using each method. To compare nodule detection capability of the three methods, consensus for performances was rated by using jackknife free-response receiver operating characteristic analysis, and sensitivity was compared by means of the McNemar test. In addition, weighted κ statistics were used to determine the agreement between Lung-RADS classification obtained with each method and the reference standard generated from standard-dose CT evaluated by two radiologists who were not included in the image analysis session. Results A total of 205 participants (mean age: 64 years ± 7 [standard deviation], 106 men) with 1073 nodules were enrolled. Figure of merit (FOM) (P < .001) had significant differences among three modalities (standard-dose CT: FOM = 0.91, low-dose CT: FOM = 0.89, pulmonary MRI with UTE: FOM = 0.94), with no evidence of false-positive findings in participants with all modalities (P > .05). Agreements for Lung-RADS classification between all modalities and the reference standard were almost perfect (standard-dose CT: κ = 0.82, P < .001; low-dose CT: κ = 0.82, P < .001; pulmonary MRI with UTE: κ = 0.82, P < .001). Conclusion In a lung cancer screening population, ultrashort echo time pulmonary MRI was comparable to standard- or low-dose CT for Lung CT Screening Reporting and Data System classification. © RSNA, 2021 Online supplemental material is available for this article. See also the editorial by Wielpütz in this issue.
Collapse
Affiliation(s)
- Yoshiharu Ohno
- From the Department of Radiology (Y.O., N.H., C.S., A.W., T.U., H.I., H.H., H.T.) and Joint Research Laboratory of Advanced Biomedical Imaging (Y.O., K.M.), Fujita Health University School of Medicine, 1-98 Dengakugakubo, Kutsukake-cho, Toyoake 470-1192, Japan; Division of Functional and Diagnostic Imaging Research, Department of Radiology, Kobe University Graduate School of Medicine, Kobe, Japan (Y.O., T.Y.); Department of Diagnostic Radiology, Hyogo Cancer Center, Akashi, Japan (D.T., T.Y.); Canon Medical Systems, Otawara, Japan (M.Y., K.Y.); and Department of Radiology, Osaka Police Hospital, Osaka, Japan (H.K.)
| | - Daisuke Takenaka
- From the Department of Radiology (Y.O., N.H., C.S., A.W., T.U., H.I., H.H., H.T.) and Joint Research Laboratory of Advanced Biomedical Imaging (Y.O., K.M.), Fujita Health University School of Medicine, 1-98 Dengakugakubo, Kutsukake-cho, Toyoake 470-1192, Japan; Division of Functional and Diagnostic Imaging Research, Department of Radiology, Kobe University Graduate School of Medicine, Kobe, Japan (Y.O., T.Y.); Department of Diagnostic Radiology, Hyogo Cancer Center, Akashi, Japan (D.T., T.Y.); Canon Medical Systems, Otawara, Japan (M.Y., K.Y.); and Department of Radiology, Osaka Police Hospital, Osaka, Japan (H.K.)
| | - Takeshi Yoshikawa
- From the Department of Radiology (Y.O., N.H., C.S., A.W., T.U., H.I., H.H., H.T.) and Joint Research Laboratory of Advanced Biomedical Imaging (Y.O., K.M.), Fujita Health University School of Medicine, 1-98 Dengakugakubo, Kutsukake-cho, Toyoake 470-1192, Japan; Division of Functional and Diagnostic Imaging Research, Department of Radiology, Kobe University Graduate School of Medicine, Kobe, Japan (Y.O., T.Y.); Department of Diagnostic Radiology, Hyogo Cancer Center, Akashi, Japan (D.T., T.Y.); Canon Medical Systems, Otawara, Japan (M.Y., K.Y.); and Department of Radiology, Osaka Police Hospital, Osaka, Japan (H.K.)
| | - Masao Yui
- From the Department of Radiology (Y.O., N.H., C.S., A.W., T.U., H.I., H.H., H.T.) and Joint Research Laboratory of Advanced Biomedical Imaging (Y.O., K.M.), Fujita Health University School of Medicine, 1-98 Dengakugakubo, Kutsukake-cho, Toyoake 470-1192, Japan; Division of Functional and Diagnostic Imaging Research, Department of Radiology, Kobe University Graduate School of Medicine, Kobe, Japan (Y.O., T.Y.); Department of Diagnostic Radiology, Hyogo Cancer Center, Akashi, Japan (D.T., T.Y.); Canon Medical Systems, Otawara, Japan (M.Y., K.Y.); and Department of Radiology, Osaka Police Hospital, Osaka, Japan (H.K.)
| | - Hisanobu Koyama
- From the Department of Radiology (Y.O., N.H., C.S., A.W., T.U., H.I., H.H., H.T.) and Joint Research Laboratory of Advanced Biomedical Imaging (Y.O., K.M.), Fujita Health University School of Medicine, 1-98 Dengakugakubo, Kutsukake-cho, Toyoake 470-1192, Japan; Division of Functional and Diagnostic Imaging Research, Department of Radiology, Kobe University Graduate School of Medicine, Kobe, Japan (Y.O., T.Y.); Department of Diagnostic Radiology, Hyogo Cancer Center, Akashi, Japan (D.T., T.Y.); Canon Medical Systems, Otawara, Japan (M.Y., K.Y.); and Department of Radiology, Osaka Police Hospital, Osaka, Japan (H.K.)
| | - Kaori Yamamoto
- From the Department of Radiology (Y.O., N.H., C.S., A.W., T.U., H.I., H.H., H.T.) and Joint Research Laboratory of Advanced Biomedical Imaging (Y.O., K.M.), Fujita Health University School of Medicine, 1-98 Dengakugakubo, Kutsukake-cho, Toyoake 470-1192, Japan; Division of Functional and Diagnostic Imaging Research, Department of Radiology, Kobe University Graduate School of Medicine, Kobe, Japan (Y.O., T.Y.); Department of Diagnostic Radiology, Hyogo Cancer Center, Akashi, Japan (D.T., T.Y.); Canon Medical Systems, Otawara, Japan (M.Y., K.Y.); and Department of Radiology, Osaka Police Hospital, Osaka, Japan (H.K.)
| | - Nayu Hamabuchi
- From the Department of Radiology (Y.O., N.H., C.S., A.W., T.U., H.I., H.H., H.T.) and Joint Research Laboratory of Advanced Biomedical Imaging (Y.O., K.M.), Fujita Health University School of Medicine, 1-98 Dengakugakubo, Kutsukake-cho, Toyoake 470-1192, Japan; Division of Functional and Diagnostic Imaging Research, Department of Radiology, Kobe University Graduate School of Medicine, Kobe, Japan (Y.O., T.Y.); Department of Diagnostic Radiology, Hyogo Cancer Center, Akashi, Japan (D.T., T.Y.); Canon Medical Systems, Otawara, Japan (M.Y., K.Y.); and Department of Radiology, Osaka Police Hospital, Osaka, Japan (H.K.)
| | - Chika Shigemura
- From the Department of Radiology (Y.O., N.H., C.S., A.W., T.U., H.I., H.H., H.T.) and Joint Research Laboratory of Advanced Biomedical Imaging (Y.O., K.M.), Fujita Health University School of Medicine, 1-98 Dengakugakubo, Kutsukake-cho, Toyoake 470-1192, Japan; Division of Functional and Diagnostic Imaging Research, Department of Radiology, Kobe University Graduate School of Medicine, Kobe, Japan (Y.O., T.Y.); Department of Diagnostic Radiology, Hyogo Cancer Center, Akashi, Japan (D.T., T.Y.); Canon Medical Systems, Otawara, Japan (M.Y., K.Y.); and Department of Radiology, Osaka Police Hospital, Osaka, Japan (H.K.)
| | - Ayumi Watanabe
- From the Department of Radiology (Y.O., N.H., C.S., A.W., T.U., H.I., H.H., H.T.) and Joint Research Laboratory of Advanced Biomedical Imaging (Y.O., K.M.), Fujita Health University School of Medicine, 1-98 Dengakugakubo, Kutsukake-cho, Toyoake 470-1192, Japan; Division of Functional and Diagnostic Imaging Research, Department of Radiology, Kobe University Graduate School of Medicine, Kobe, Japan (Y.O., T.Y.); Department of Diagnostic Radiology, Hyogo Cancer Center, Akashi, Japan (D.T., T.Y.); Canon Medical Systems, Otawara, Japan (M.Y., K.Y.); and Department of Radiology, Osaka Police Hospital, Osaka, Japan (H.K.)
| | - Takahiro Ueda
- From the Department of Radiology (Y.O., N.H., C.S., A.W., T.U., H.I., H.H., H.T.) and Joint Research Laboratory of Advanced Biomedical Imaging (Y.O., K.M.), Fujita Health University School of Medicine, 1-98 Dengakugakubo, Kutsukake-cho, Toyoake 470-1192, Japan; Division of Functional and Diagnostic Imaging Research, Department of Radiology, Kobe University Graduate School of Medicine, Kobe, Japan (Y.O., T.Y.); Department of Diagnostic Radiology, Hyogo Cancer Center, Akashi, Japan (D.T., T.Y.); Canon Medical Systems, Otawara, Japan (M.Y., K.Y.); and Department of Radiology, Osaka Police Hospital, Osaka, Japan (H.K.)
| | - Hirotaka Ikeda
- From the Department of Radiology (Y.O., N.H., C.S., A.W., T.U., H.I., H.H., H.T.) and Joint Research Laboratory of Advanced Biomedical Imaging (Y.O., K.M.), Fujita Health University School of Medicine, 1-98 Dengakugakubo, Kutsukake-cho, Toyoake 470-1192, Japan; Division of Functional and Diagnostic Imaging Research, Department of Radiology, Kobe University Graduate School of Medicine, Kobe, Japan (Y.O., T.Y.); Department of Diagnostic Radiology, Hyogo Cancer Center, Akashi, Japan (D.T., T.Y.); Canon Medical Systems, Otawara, Japan (M.Y., K.Y.); and Department of Radiology, Osaka Police Hospital, Osaka, Japan (H.K.)
| | - Hidekazu Hattori
- From the Department of Radiology (Y.O., N.H., C.S., A.W., T.U., H.I., H.H., H.T.) and Joint Research Laboratory of Advanced Biomedical Imaging (Y.O., K.M.), Fujita Health University School of Medicine, 1-98 Dengakugakubo, Kutsukake-cho, Toyoake 470-1192, Japan; Division of Functional and Diagnostic Imaging Research, Department of Radiology, Kobe University Graduate School of Medicine, Kobe, Japan (Y.O., T.Y.); Department of Diagnostic Radiology, Hyogo Cancer Center, Akashi, Japan (D.T., T.Y.); Canon Medical Systems, Otawara, Japan (M.Y., K.Y.); and Department of Radiology, Osaka Police Hospital, Osaka, Japan (H.K.)
| | - Kazuhiro Murayama
- From the Department of Radiology (Y.O., N.H., C.S., A.W., T.U., H.I., H.H., H.T.) and Joint Research Laboratory of Advanced Biomedical Imaging (Y.O., K.M.), Fujita Health University School of Medicine, 1-98 Dengakugakubo, Kutsukake-cho, Toyoake 470-1192, Japan; Division of Functional and Diagnostic Imaging Research, Department of Radiology, Kobe University Graduate School of Medicine, Kobe, Japan (Y.O., T.Y.); Department of Diagnostic Radiology, Hyogo Cancer Center, Akashi, Japan (D.T., T.Y.); Canon Medical Systems, Otawara, Japan (M.Y., K.Y.); and Department of Radiology, Osaka Police Hospital, Osaka, Japan (H.K.)
| | - Hiroshi Toyama
- From the Department of Radiology (Y.O., N.H., C.S., A.W., T.U., H.I., H.H., H.T.) and Joint Research Laboratory of Advanced Biomedical Imaging (Y.O., K.M.), Fujita Health University School of Medicine, 1-98 Dengakugakubo, Kutsukake-cho, Toyoake 470-1192, Japan; Division of Functional and Diagnostic Imaging Research, Department of Radiology, Kobe University Graduate School of Medicine, Kobe, Japan (Y.O., T.Y.); Department of Diagnostic Radiology, Hyogo Cancer Center, Akashi, Japan (D.T., T.Y.); Canon Medical Systems, Otawara, Japan (M.Y., K.Y.); and Department of Radiology, Osaka Police Hospital, Osaka, Japan (H.K.)
| |
Collapse
|
15
|
Liu H, Chen R, Tong C, Liang XW. MRI versus CT for the detection of pulmonary nodules: A meta-analysis. Medicine (Baltimore) 2021; 100:e27270. [PMID: 34678861 PMCID: PMC8542155 DOI: 10.1097/md.0000000000027270] [Citation(s) in RCA: 7] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/04/2021] [Accepted: 08/31/2021] [Indexed: 01/05/2023] Open
Abstract
BACKGROUND Computed tomography (CT) is the current gold standard for the detection of pulmonary nodules but has high radiation burden. In contrast, many radiologists tried to use magnetic resonance imaging (MRI) to replace CT because MRI has no radiation burden associated. Due to the lack of high-level evidence of comparison of the diagnostic accuracy of MRI versus CT for detecting pulmonary nodules, it is unknown whether CT can be replaced successfully by MRI. Therefore, the aim of this study was to compare the diagnostic accuracy of MRI versus CT for detecting pulmonary nodules. METHODS Electronic databases PubMed, EmBase, and Cochrane Library were systematically searched from their inception to September 2017 to identify studies in which CT/MRI was used to diagnose pulmonary nodules. According to true positive, true negative, false negative, and false positive extracted from the included studies, we calculate the pooled sensitivity, specificity, positive likelihood ratio (PLR), negative likelihood ratio (NLR), and area under the curve (AUC) using Stata version 14.0 software (STATA Corp, TX). RESULTS A total of 8 studies involving a total of 653 individuals were included. The pooled sensitivity, specificity, PLR, NLR, and AUC were 0.91 (95% confidence interval [CI]: 0.80-0.96), 0.76 (95%CI: 0.58-0.87), 3.72 (95%CI: 2.05-6.76), 0.12 (95%CI: 0.06-0.27), and 0.91 (95%CI: 0.88-0.93) for MRI respectively, while the pooled sensitivity, specificity, PLR, NLR, and AUC for CT were 1.00 (95%CI: 0.95-1.00), 0.99 (95%CI: 0.78-1.00), 79.35 (95%CI: 3.68-1711.06), 0.00 (95%CI: 0.00-0.06), and 1.00 (95%CI: 0.99-1.00), respectively. Further, we compared the diagnostic accuracy of CT versus MRI and found that compared with MRI, CT shows statistically higher sensitivity (odds ratio [OR] for MRI vs CT: 0.91; 95%CI: 0.85-0.98; P value .010), specificity (OR: 0.82; 95%CI: 0.69-0.97; P value .019), PLR (OR: 0.29; 95%CI: 0.10-0.83; P value 0.02), AUC (OR: 0.91; 95%CI: 0.89-0.94; P value < .001), and lower NLR (OR: 8.72; 95%CI: 1.57-48.56; P value .013). CONCLUSION Our study suggested both CT and MRI have a high diagnostic accuracy in diagnosing pulmonary nodules, while CT was superior to MRI in sensitivity, specificity, PLR, NLR, and AUC, indicating that in terms of the currently available evidence, MRI could not replace CT in diagnosing pulmonary nodules.
Collapse
|
16
|
Feng H, Shi G, Liu H, Du Y, Zhang N, Wang Y. The Value of PETRA in Pulmonary Nodules of <3 cm Among Patients With Lung Cancer. Front Oncol 2021; 11:649625. [PMID: 34084745 PMCID: PMC8167054 DOI: 10.3389/fonc.2021.649625] [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: 01/05/2021] [Accepted: 04/15/2021] [Indexed: 11/25/2022] Open
Abstract
Objective This study aimed to evaluate the visibility of different subgroups of lung nodules of <3 cm using the pointwise encoding time reduction with radial acquisition (PETRA) sequence on 3T magnetic resonance imaging (MRI) in comparison with that obtained using low-dose computed tomography (LDCT). Methods The appropriate detection rate was calculated for each of the different subgroups of lung nodules of <3 cm. The mean diameter of each detected nodule was determined. The detection rates and diameters of the lung nodules detected by MRI with the PETRA sequence were compared with those detected by computed tomography (CT). The sensitivity of detection for the different subgroups of pulmonary nodules was determined based on the location, size, type of nodules and morphologic characteristics. Agreement of nodule characteristics between CT and MRI were assessed by intraclass correlation coefficient (ICC) and Kappa test. Results The CT scans detected 256 lung nodules, comprising 99 solid nodules (SNs) and 157 subsolid nodules with a mean nodule diameter of 8.3 mm. For the SNs, the MRI detected 30/47 nodules of <6 mm in diameter and 52/52 nodules of ≥6 mm in diameter. For the subsolid nodules, the MRI detected 30/51 nodules of <6 mm in diameter and 102/106 nodules of ≥6 mm in diameter. The PETRA sequence returned a high detection rate (84%). The detection rates of SN, ground glass nodules, and PSN were 82%, 72%, and 94%, respectively. For nodules with a diameter of >6 mm, the sensitivity of the PETRA sequence reached 97%, with a higher rate for nodules located in the upper lung fields than those in the middle and lower lung fields. Strong agreement was found between the CT and PETRA results (correlation coefficients = 0.97). Conclusion The PETRA technique had high sensitivity for different type of nodule detection and enabled accurate assessment of their diameter and morphologic characteristics. It may be an effective alternative to CT as a tool for screening and follow up pulmonary nodules.
Collapse
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
| | - Yu Du
- 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
| | - Yaning Wang
- Department of Radiology, The Fourth Hospital of Hebei Medical University, Shijiazhuang, China
| |
Collapse
|
17
|
Pulmonary MRI: Applications and Use Cases. CURRENT PULMONOLOGY REPORTS 2020. [DOI: 10.1007/s13665-020-00257-9] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/23/2022]
|
18
|
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.
Collapse
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.
| |
Collapse
|
19
|
Biederer J, Ohno Y, Hatabu H, Schiebler ML, van Beek EJR, Vogel-Claussen J, Kauczor HU. "Screening for lung cancer: Does MRI have a role?' [European Journal of Radiology 86 (2017) 353-360]. Eur J Radiol 2020; 125:108896. [PMID: 32088658 DOI: 10.1016/j.ejrad.2020.108896] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/02/2020] [Accepted: 02/11/2020] [Indexed: 11/16/2022]
Affiliation(s)
- Juergen Biederer
- Department of Diagnostic and Interventional Radiology, University Hospital of Heidelberg, Im Neuenheimer Feld 110, 69120 Heidelberg, Germany; Translational Lung Research Center Heidelberg (TLRC), Member of the German Lung ResearchCenter (DZL), Im Neuenheimer Feld 430, 69120 Heidelberg, Germany; Latvijas Universitate, Faculty of Medicine, Riga, Latvia.
| | - Yoshiharu Ohno
- Division of Functional and Diagnostic Imaging Research, Department of Radiology, Kobe University Graduate School of Medicine, Kobe, Japan; Advanced Biomedical Imaging Research Centre, Kobe University Graduate School of Medicine, Kobe, Japan
| | - Hiroto Hatabu
- Department of Radiology, Brigham and Women's Hospital and Harvard Medical School, Boston, MA, USA
| | - Mark L Schiebler
- Department of Radiology, UW-Madison School of Medicine and Public Health, Madison, WI, USA
| | - Edwin J R van Beek
- Edinburgh Imaging, Queens Medical Research Institute, University of Edinburgh, Scotland, UK
| | - Jens Vogel-Claussen
- Institute for Diagnostic and Interventional Radiology, Hannover Medical School, Hannover, Germany; Biomedical Research in Endstage and Obstructive Lung Disease Hannover (BREATH), Member of the German Center for Lung Research, Hannover, Germany
| | - Hans-Ulrich Kauczor
- Department of Diagnostic and Interventional Radiology, University Hospital of Heidelberg, Im Neuenheimer Feld 110, 69120 Heidelberg, Germany; Translational Lung Research Center Heidelberg (TLRC), Member of the German Lung ResearchCenter (DZL), Im Neuenheimer Feld 430, 69120 Heidelberg, Germany
| |
Collapse
|
20
|
Kahn J, Kocher MR, Waltz J, Ravenel JG. Advances in Lung Cancer Imaging. Semin Roentgenol 2020; 55:70-78. [PMID: 31964483 DOI: 10.1053/j.ro.2019.10.007] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/11/2022]
Affiliation(s)
- Jacob Kahn
- Department of Radiology and Radiological Sciences, Medical University of South Carolina, Charleston, SC
| | - Madison R Kocher
- Department of Radiology and Radiological Sciences, Medical University of South Carolina, Charleston, SC
| | - Jeffrey Waltz
- Department of Radiology and Radiological Sciences, Medical University of South Carolina, Charleston, SC
| | | |
Collapse
|
21
|
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]
|
22
|
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.
Collapse
Affiliation(s)
| | - Rami Homsi
- Department of Radiology, University of Bonn, Bonn, Germany
| | | | - Daniel Thomas
- Department of Radiology, University of Bonn, Bonn, Germany
| |
Collapse
|
23
|
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]
|
24
|
Morphologic Characterization of Pulmonary Nodules With Ultrashort TE MRI at 3T. AJR Am J Roentgenol 2018; 210:1216-1225. [PMID: 29547055 DOI: 10.2214/ajr.17.18961] [Citation(s) in RCA: 43] [Impact Index Per Article: 7.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/18/2022]
Abstract
OBJECTIVE Ultrashort TE (UTE) MRI has been shown to deliver high-resolution images comparable to CT images. Here we evaluate the potential of UTE-MRI for precise lung nodule characterization. SUBJECTS AND METHODS Fifty-one patients (mean [± SD] age, 68.7 ± 10.8 years) with 119 nodules or masses (mean size, 17.4 ± 16.3 mm; range, 4-88 mm) prospectively underwent CT (1-mm slice thickness) and UTE-MRI (TE, 192 μs; 1 mm3 resolution). Two radiologists assessed nodule dimensions and morphologic features (i.e., attenuation, margins, and internal lucencies), in consensus for CT and in a blinded fashion for UTE-MRI. Sensitivity, specificity, and kappa statistics were calculated in reference to CT. RESULTS Readers 1 and 2 underestimated the nodules' long axial diameter with UTEMRI by 1.2 ± 3.4 and 2.1 ± 4.2 mm, respectively (p < 0.001). The sensitivity and specificity of UTE-MRI for subsolid attenuation were 95.9% and 70.3%, respectively, for reader 1 and 97.1% and 71.4%, respectively, for reader 2 (κ = 0.71 and 0.68). With regard to margin characteristics, for lobulation, sensitivity was 70.6% and 54.9%, and specificity was 93.2% and 96.3% for readers 1 and 2, respectively; for spiculation, sensitivity was 61.5% and 48.0%, and specificity was 95.2% and 95.0%; and for pleural tags, sensitivity was 87.0% and 73.3%, and specificity was 93.8% and 95.0%. Finally, for internal lucencies, sensitivity was 72.7% and 61.3%, and specificity was 96.1% and 97.3% for readers 1 and 2, respectively (κ = 0.64-0.81 for reader 1 and 0.48-0.72 for reader 2). Interreader agreement for attenuation, margin characteristics, and lucencies was substantial to almost perfect with few exceptions (κ = 0.51-0.90). CONCLUSION UTE-MRI systematically underestimated dimension measurements by approximately 1-2 mm but otherwise showed high diagnostic properties and interreader agreement, yet unprecedented by MRI, for nodule morphologic assessment.
Collapse
|
25
|
Lung cancer screening with MRI: results of the first screening round. J Cancer Res Clin Oncol 2017; 144:117-125. [DOI: 10.1007/s00432-017-2521-4] [Citation(s) in RCA: 29] [Impact Index Per Article: 4.1] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/23/2017] [Accepted: 09/16/2017] [Indexed: 12/19/2022]
|
26
|
Ohno Y, Koyama H, Yoshikawa T, Kishida Y, Seki S, Takenaka D, Yui M, Miyazaki M, Sugimura K. Standard-, Reduced-, and No-Dose Thin-Section Radiologic Examinations: Comparison of Capability for Nodule Detection and Nodule Type Assessment in Patients Suspected of Having Pulmonary Nodules. Radiology 2017; 284:562-573. [PMID: 28263700 DOI: 10.1148/radiol.2017161037] [Citation(s) in RCA: 63] [Impact Index Per Article: 9.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/19/2022]
Abstract
Purpose To compare the capability of pulmonary thin-section magnetic resonance (MR) imaging with ultrashort echo time (UTE) with that of standard- and reduced-dose thin-section computed tomography (CT) in nodule detection and evaluation of nodule type. Materials and Methods The institutional review board approved this study, and written informed consent was obtained from each patient. Standard- and reduced-dose chest CT (60 and 250 mA) and MR imaging with UTE were used to examine 52 patients; 29 were men (mean age, 66.4 years ± 7.3 [standard deviation]; age range, 48-79 years) and 23 were women (mean age, 64.8 years ± 10.1; age range, 42-83 years). Probability of nodule presence was assessed for all methods with a five-point visual scoring system. All nodules were then classified as missed, ground-glass, part-solid, or solid nodules. To compare nodule detection capability of the three methods, consensus for performances was rated by using jackknife free-response receiver operating characteristic analysis, and κ analysis was used to compare intermethod agreement for nodule type classification. Results There was no significant difference (F = 0.70, P = .59) in figure of merit between methods (standard-dose CT, 0.86; reduced-dose CT, 0.84; MR imaging with UTE, 0.86). There was no significant difference in sensitivity between methods (standard-dose CT vs reduced-dose CT, P = .50; standard-dose CT vs MR imaging with UTE, P = .50; reduced-dose CT vs MR imaging with UTE, P >.99). Intermethod agreement was excellent (standard-dose CT vs reduced-dose CT, κ = 0.98, P < .001; standard-dose CT vs MR imaging with UTE, κ = 0.98, P < .001; reduced-dose CT vs MR imaging with UTE, κ = 0.99, P < .001). Conclusion Pulmonary thin-section MR imaging with UTE was useful in nodule detection and evaluation of nodule type, and it is considered at least as efficacious as standard- or reduced-dose thin-section CT. © RSNA, 2017 Online supplemental material is available for this article.
Collapse
Affiliation(s)
- Yoshiharu Ohno
- From the Division of Functional and Diagnostic Imaging Research, Department of Radiology (Y.O., T.Y.), Advanced Biomedical Imaging Research Center (Y.O., T.Y.), and Division of Radiology, Department of Radiology (H.K., Y.K., S.S., K.S.), Kobe University Graduate School of Medicine, 7-5-2 Kusunoki-cho, Chuo-ku, Kobe 650-0017, Hyogo, Japan; Department of Radiology, Hyogo Cancer Center, Akashi, Hyogo, Japan (D.T.); Toshiba Medical Systems, Otawara, Tochigi, Japan (M.Y.); and Toshiba Medical Research Institute USA, Vernon Hills, Il (M.M.)
| | - Hisanobu Koyama
- From the Division of Functional and Diagnostic Imaging Research, Department of Radiology (Y.O., T.Y.), Advanced Biomedical Imaging Research Center (Y.O., T.Y.), and Division of Radiology, Department of Radiology (H.K., Y.K., S.S., K.S.), Kobe University Graduate School of Medicine, 7-5-2 Kusunoki-cho, Chuo-ku, Kobe 650-0017, Hyogo, Japan; Department of Radiology, Hyogo Cancer Center, Akashi, Hyogo, Japan (D.T.); Toshiba Medical Systems, Otawara, Tochigi, Japan (M.Y.); and Toshiba Medical Research Institute USA, Vernon Hills, Il (M.M.)
| | - Takeshi Yoshikawa
- From the Division of Functional and Diagnostic Imaging Research, Department of Radiology (Y.O., T.Y.), Advanced Biomedical Imaging Research Center (Y.O., T.Y.), and Division of Radiology, Department of Radiology (H.K., Y.K., S.S., K.S.), Kobe University Graduate School of Medicine, 7-5-2 Kusunoki-cho, Chuo-ku, Kobe 650-0017, Hyogo, Japan; Department of Radiology, Hyogo Cancer Center, Akashi, Hyogo, Japan (D.T.); Toshiba Medical Systems, Otawara, Tochigi, Japan (M.Y.); and Toshiba Medical Research Institute USA, Vernon Hills, Il (M.M.)
| | - Yuji Kishida
- From the Division of Functional and Diagnostic Imaging Research, Department of Radiology (Y.O., T.Y.), Advanced Biomedical Imaging Research Center (Y.O., T.Y.), and Division of Radiology, Department of Radiology (H.K., Y.K., S.S., K.S.), Kobe University Graduate School of Medicine, 7-5-2 Kusunoki-cho, Chuo-ku, Kobe 650-0017, Hyogo, Japan; Department of Radiology, Hyogo Cancer Center, Akashi, Hyogo, Japan (D.T.); Toshiba Medical Systems, Otawara, Tochigi, Japan (M.Y.); and Toshiba Medical Research Institute USA, Vernon Hills, Il (M.M.)
| | - Shinichiro Seki
- From the Division of Functional and Diagnostic Imaging Research, Department of Radiology (Y.O., T.Y.), Advanced Biomedical Imaging Research Center (Y.O., T.Y.), and Division of Radiology, Department of Radiology (H.K., Y.K., S.S., K.S.), Kobe University Graduate School of Medicine, 7-5-2 Kusunoki-cho, Chuo-ku, Kobe 650-0017, Hyogo, Japan; Department of Radiology, Hyogo Cancer Center, Akashi, Hyogo, Japan (D.T.); Toshiba Medical Systems, Otawara, Tochigi, Japan (M.Y.); and Toshiba Medical Research Institute USA, Vernon Hills, Il (M.M.)
| | - Daisuke Takenaka
- From the Division of Functional and Diagnostic Imaging Research, Department of Radiology (Y.O., T.Y.), Advanced Biomedical Imaging Research Center (Y.O., T.Y.), and Division of Radiology, Department of Radiology (H.K., Y.K., S.S., K.S.), Kobe University Graduate School of Medicine, 7-5-2 Kusunoki-cho, Chuo-ku, Kobe 650-0017, Hyogo, Japan; Department of Radiology, Hyogo Cancer Center, Akashi, Hyogo, Japan (D.T.); Toshiba Medical Systems, Otawara, Tochigi, Japan (M.Y.); and Toshiba Medical Research Institute USA, Vernon Hills, Il (M.M.)
| | - Masao Yui
- From the Division of Functional and Diagnostic Imaging Research, Department of Radiology (Y.O., T.Y.), Advanced Biomedical Imaging Research Center (Y.O., T.Y.), and Division of Radiology, Department of Radiology (H.K., Y.K., S.S., K.S.), Kobe University Graduate School of Medicine, 7-5-2 Kusunoki-cho, Chuo-ku, Kobe 650-0017, Hyogo, Japan; Department of Radiology, Hyogo Cancer Center, Akashi, Hyogo, Japan (D.T.); Toshiba Medical Systems, Otawara, Tochigi, Japan (M.Y.); and Toshiba Medical Research Institute USA, Vernon Hills, Il (M.M.)
| | - Mitsue Miyazaki
- From the Division of Functional and Diagnostic Imaging Research, Department of Radiology (Y.O., T.Y.), Advanced Biomedical Imaging Research Center (Y.O., T.Y.), and Division of Radiology, Department of Radiology (H.K., Y.K., S.S., K.S.), Kobe University Graduate School of Medicine, 7-5-2 Kusunoki-cho, Chuo-ku, Kobe 650-0017, Hyogo, Japan; Department of Radiology, Hyogo Cancer Center, Akashi, Hyogo, Japan (D.T.); Toshiba Medical Systems, Otawara, Tochigi, Japan (M.Y.); and Toshiba Medical Research Institute USA, Vernon Hills, Il (M.M.)
| | - Kazuro Sugimura
- From the Division of Functional and Diagnostic Imaging Research, Department of Radiology (Y.O., T.Y.), Advanced Biomedical Imaging Research Center (Y.O., T.Y.), and Division of Radiology, Department of Radiology (H.K., Y.K., S.S., K.S.), Kobe University Graduate School of Medicine, 7-5-2 Kusunoki-cho, Chuo-ku, Kobe 650-0017, Hyogo, Japan; Department of Radiology, Hyogo Cancer Center, Akashi, Hyogo, Japan (D.T.); Toshiba Medical Systems, Otawara, Tochigi, Japan (M.Y.); and Toshiba Medical Research Institute USA, Vernon Hills, Il (M.M.)
| |
Collapse
|
27
|
Zhao D, Hu Q, Qi L, Wang J, Wu H, Zhu G, Yu H. Magnetic resonance (MR) imaging for tumor staging and definition of tumor volumes on radiation treatment planning in nonsmall cell lung cancer: A prospective radiographic cohort study of single center clinical outcome. Medicine (Baltimore) 2017; 96:e5943. [PMID: 28225485 PMCID: PMC5569433 DOI: 10.1097/md.0000000000005943] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/29/2022] Open
Abstract
We investigate the impact of magnetic resonance (MR) on the staging and radiotherapy planning for patients with nonsmall cell lung cancer (NSCLC).A total of 24 patients with NSCLC underwent MRI, which was fused with radiotherapy planning CT using rigid registration. Gross tumor volume (GTV) was delineated not only according to CT image alone (GTVCT), but also based on both CT and MR image (GTVCT/MR). For each patient, 2 conformal treatment plans were made according to GTVCT and GTVCT/MR, respectively. Dose-volume histograms (DVH) for lesion and normal organs were generated using both GTVCT and GTVCT/MR treatment plans. All patients were irradiated according to GTVCT/MR plan.Median volume of the GTVCT/MR and GTVCT were 105.42 cm and 124.45 cm, respectively, and the mean value of GTVCT/MR was significantly smaller than that of GTVCT (145.71 ± 145.04 vs 174.30 ± 150.34, P < 0.01). Clinical stage was modified in 9 patients (37.5%). The objective response rate (ORR) was 83.3% and the l-year overall survival (OS) was 87.5%.MR is a useful tool in radiotherapy treatment planning for NSCLC, which improves the definition of tumor volume, reduces organs at risk dose and does not increase the local recurrence rate.
Collapse
MESH Headings
- Adenocarcinoma/diagnostic imaging
- Adenocarcinoma/pathology
- Adenocarcinoma/radiotherapy
- Adenocarcinoma of Lung
- Carcinoma, Non-Small-Cell Lung/diagnostic imaging
- Carcinoma, Non-Small-Cell Lung/pathology
- Carcinoma, Non-Small-Cell Lung/radiotherapy
- Carcinoma, Squamous Cell/diagnostic imaging
- Carcinoma, Squamous Cell/pathology
- Carcinoma, Squamous Cell/radiotherapy
- Female
- Follow-Up Studies
- Humans
- Lung/diagnostic imaging
- Lung Neoplasms/diagnostic imaging
- Lung Neoplasms/pathology
- Lung Neoplasms/radiotherapy
- Magnetic Resonance Imaging/methods
- Male
- Middle Aged
- Neoplasm Staging
- Pilot Projects
- Prospective Studies
- Radiotherapy Planning, Computer-Assisted/methods
- Radiotherapy, Conformal/methods
- Radiotherapy, Image-Guided/methods
- Survival Analysis
- Tomography, X-Ray Computed/methods
- Treatment Outcome
- Tumor Burden
Collapse
Affiliation(s)
- Dan Zhao
- Key Laboratory of Carcinogenesis and Translational Research (Ministry of Education/Beijing), Department of Radiation Oncology
| | - Qiaoqiao Hu
- Key Laboratory of Carcinogenesis and Translational Research (Ministry of Education/Beijing), Department of Radiation Oncology
| | - Liping Qi
- Department of Radiology, Peking University Cancer Hospital & Institute, Beijing, China
| | - Juan Wang
- Department of Radiology, Peking University Cancer Hospital & Institute, Beijing, China
| | - Hao Wu
- Key Laboratory of Carcinogenesis and Translational Research (Ministry of Education/Beijing), Department of Radiation Oncology
| | - Guangying Zhu
- Key Laboratory of Carcinogenesis and Translational Research (Ministry of Education/Beijing), Department of Radiation Oncology
| | - Huiming Yu
- Key Laboratory of Carcinogenesis and Translational Research (Ministry of Education/Beijing), Department of Radiation Oncology
| |
Collapse
|
28
|
Screening for lung cancer: Does MRI have a role? Eur J Radiol 2017; 86:353-360. [DOI: 10.1016/j.ejrad.2016.09.016] [Citation(s) in RCA: 45] [Impact Index Per Article: 6.4] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/31/2016] [Accepted: 09/15/2016] [Indexed: 12/17/2022]
|
29
|
Schwenzer NF, Seith F, Gatidis S, Brendle C, Schmidt H, Pfannenberg CA, laFougère C, Nikolaou K, Schraml C. Diagnosing Lung Nodules on Oncologic MR/PET Imaging: Comparison of Fast T1-Weighted Sequences and Influence of Image Acquisition in Inspiration and Expiration Breath-Hold. Korean J Radiol 2016; 17:684-94. [PMID: 27587957 PMCID: PMC5007395 DOI: 10.3348/kjr.2016.17.5.684] [Citation(s) in RCA: 11] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/05/2015] [Accepted: 04/26/2016] [Indexed: 12/21/2022] Open
Abstract
Objective First, to investigate the diagnostic performance of fast T1-weighted sequences for lung nodule evaluation in oncologic magnetic resonance (MR)/positron emission tomography (PET). Second, to evaluate the influence of image acquisition in inspiration and expiration breath-hold on diagnostic performance. Materials and Methods The study was approved by the local Institutional Review Board. PET/CT and MR/PET of 44 cancer patients were evaluated by 2 readers. PET/CT included lung computed tomography (CT) scans in inspiration and expiration (CTin, CTex). MR/PET included Dixon sequence for attenuation correction and fast T1-weighted volumetric interpolated breath-hold examination (VIBE) sequences (volume interpolated breath-hold examination acquired in inspiration [VIBEin], volume interpolated breath-hold examination acquired in expiration [VIBEex]). Diagnostic performance was analyzed for lesion-, lobe-, and size-dependence. Diagnostic confidence was evaluated (4-point Likert-scale; 1 = high). Jackknife alternative free-response receiver-operating characteristic (JAFROC) analysis was performed. Results Seventy-six pulmonary lesions were evaluated. Lesion-based detection rates were: CTex, 77.6%; VIBEin, 53.3%; VIBEex, 51.3%; and Dixon, 22.4%. Lobe-based detection rates were: CTex, 89.6%; VIBEin, 58.3%; VIBEex, 60.4%; and Dixon, 31.3%. In contrast to CT, inspiration versus expiration did not alter diagnostic performance in VIBE sequences. Diagnostic confidence was best for VIBEin and CTex and decreased in VIBEex and Dixon (1.2 ± 0.6; 1.2 ± 0.7; 1.5 ± 0.9; 1.7 ± 1.1, respectively). The JAFROC figure-of-merit of Dixon was significantly lower. All patients with malignant lesions were identified by CTex, VIBEin, and VIBEex, while 3 patients were false-negative in Dixon. Conclusion Fast T1-weighted VIBE sequences allow for identification of patients with malignant pulmonary lesions. The Dixon sequence is not recommended for lung nodule evaluation in oncologic MR/PET patients. In contrast to CT, inspiration versus expiratory breath-hold in VIBE sequences was less crucial for lung nodule evaluation but was important for diagnostic confidence.
Collapse
Affiliation(s)
- Nina F Schwenzer
- Department of Diagnostic and Interventional Radiology, University Hospital of Tuebingen, Tuebingen 72076, Germany
| | - Ferdinand Seith
- Department of Diagnostic and Interventional Radiology, University Hospital of Tuebingen, Tuebingen 72076, Germany
| | - Sergios Gatidis
- Department of Diagnostic and Interventional Radiology, University Hospital of Tuebingen, Tuebingen 72076, Germany
| | - Cornelia Brendle
- Department of Diagnostic and Interventional Radiology, University Hospital of Tuebingen, Tuebingen 72076, Germany.; Department of Diagnostic and Interventional Neuroradiology, University Hospital of Tuebingen, Tuebingen 72076, Germany
| | - Holger Schmidt
- Department of Diagnostic and Interventional Radiology, University Hospital of Tuebingen, Tuebingen 72076, Germany
| | - Christina A Pfannenberg
- Department of Diagnostic and Interventional Radiology, University Hospital of Tuebingen, Tuebingen 72076, Germany
| | - Christian laFougère
- Department of Nuclear Medicine, University Hospital of Tuebingen, Tuebingen 72076, Germany
| | - Konstantin Nikolaou
- Department of Diagnostic and Interventional Radiology, University Hospital of Tuebingen, Tuebingen 72076, Germany
| | - Christina Schraml
- Department of Diagnostic and Interventional Radiology, University Hospital of Tuebingen, Tuebingen 72076, Germany
| |
Collapse
|
30
|
Magnetic Resonance Imaging (MRI) and Positron Emission Tomography (PET)/MRI for Lung Cancer Staging. J Thorac Imaging 2016; 31:215-27. [DOI: 10.1097/rti.0000000000000210] [Citation(s) in RCA: 20] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/25/2022]
|
31
|
Cieszanowski A, Lisowska A, Dabrowska M, Korczynski P, Zukowska M, Grudzinski IP, Pacho R, Rowinski O, Krenke R. MR Imaging of Pulmonary Nodules: Detection Rate and Accuracy of Size Estimation in Comparison to Computed Tomography. PLoS One 2016; 11:e0156272. [PMID: 27258047 PMCID: PMC4892605 DOI: 10.1371/journal.pone.0156272] [Citation(s) in RCA: 51] [Impact Index Per Article: 6.4] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/18/2015] [Accepted: 05/11/2016] [Indexed: 12/21/2022] Open
Abstract
OBJECTIVE The aims of this study were to assess the sensitivity of various magnetic resonance imaging (MRI) sequences for the diagnosis of pulmonary nodules and to estimate the accuracy of MRI for the measurement of lesion size, as compared to computed tomography (CT). METHODS Fifty patients with 113 pulmonary nodules diagnosed by CT underwent lung MRI and CT. MRI studies were performed on 1.5T scanner using the following sequences: T2-TSE, T2-SPIR, T2-STIR, T2-HASTE, T1-VIBE, and T1-out-of-phase. CT and MRI data were analyzed independently by two radiologists. RESULTS The overall sensitivity of MRI for the detection of pulmonary nodules was 80.5% and according to nodule size: 57.1% for nodules ≤4mm, 75% for nodules >4-6mm, 87.5% for nodules >6-8mm and 100% for nodules >8mm. MRI sequences yielded following sensitivities: 69% (T1-VIBE), 54.9% (T2-SPIR), 48.7% (T2-TSE), 48.7% (T1-out-of-phase), 45.1% (T2-STIR), 25.7% (T2-HASTE), respectively. There was very strong agreement between the maximum diameter of pulmonary nodules measured by CT and MRI (mean difference -0.02 mm; 95% CI -1.6-1.57 mm; Bland-Altman analysis). CONCLUSIONS MRI yielded high sensitivity for the detection of pulmonary nodules and enabled accurate assessment of their diameter. Therefore it may be considered an alternative to CT for follow-up of some lung lesions. However, due to significant number of false positive diagnoses, it is not ready to replace CT as a tool for lung nodule detection.
Collapse
Affiliation(s)
- Andrzej Cieszanowski
- 2 Department of Clinical Radiology, Medical University of Warsaw, Central Clinical Hospital, Warsaw, Poland
- Maria Skłodowska-Curie Memorial Cancer Center, Institute of Oncology, Warsaw, Poland
- * E-mail:
| | - Antonina Lisowska
- 2 Department of Clinical Radiology, Medical University of Warsaw, Central Clinical Hospital, Warsaw, Poland
| | - Marta Dabrowska
- Department of Internal Medicine, Pneumonology and Allergology, Medical University of Warsaw, Warsaw, Poland
| | - Piotr Korczynski
- Department of Internal Medicine, Pneumonology and Allergology, Medical University of Warsaw, Warsaw, Poland
| | - Malgorzata Zukowska
- 2 Department of Clinical Radiology, Medical University of Warsaw, Central Clinical Hospital, Warsaw, Poland
| | - Ireneusz P. Grudzinski
- Department of Toxicology, Faculty of Pharmacy, Medical University of Warsaw, Warsaw, Poland
| | - Ryszard Pacho
- 2 Department of Clinical Radiology, Medical University of Warsaw, Central Clinical Hospital, Warsaw, Poland
| | - Olgierd Rowinski
- 2 Department of Clinical Radiology, Medical University of Warsaw, Central Clinical Hospital, Warsaw, Poland
| | - Rafal Krenke
- Department of Internal Medicine, Pneumonology and Allergology, Medical University of Warsaw, Warsaw, Poland
| |
Collapse
|
32
|
Lu NH, Hung CM, Liu KY, Chen TB, Huang YH. Diagnosed chest lesion on diffusion-weighted magnetic resonance images using apparent diffusion coefficients. JOURNAL OF X-RAY SCIENCE AND TECHNOLOGY 2016; 24:133-143. [PMID: 26890904 DOI: 10.3233/xst-160535] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/05/2023]
Abstract
PURPOSE A novel diagnostic method using the standard deviation (SD) value of apparent diffusion coefficient (ADC) by diffusion-weighted (DWI) magnetic resonance imaging (MRI) is applied for differential diagnosis of primary chest cancers, metastatic tumors and benign tumors. MATERIALS AND METHODS This retrospective study enrolled 27 patients (20 males, 7 female; age, 15-85; mean age, 68) who had thoracic mass lesions in the last three years and underwent an MRI chest examination at our institution. In total, 29 mass lesions were analyzed using SD of ADC and DWI. Lesions were divided into five groups: Primary lung cancers (N = 10); esophageal cancers (N = 5); metastatic tumors (N = 8); benign tumors (N = 3); and inflammatory lesions (N = 3). Quantitative assessment of MRI parameters of mass lesions was performed. The ADC value was acquired based on the average of the entire tumor area. The error-plot, t-test and the area under receiver operating characteristic (AUC) were applied for statistical analysis. RESULTS The SD of ADC value (mean±SD) was (4.867±1.359)×10-4 mm2/sec in primary lung cancers, and (3.598±0.350)×10-4 mm2/sec in metastatic tumors. The SD of ADC values of primary lung cancers and metastatic tumors (P < 0.05) were significantly different and the AUC was 0.800 (P < 0.05). The means of SD of ADC values was 4.532±1.406×10-4 mm2/sec and 2.973±0.364×10-4 mm2/sec for malignant tumors (including primary lung cancers, esophageal cancers) and benign tumors with respectively. The mean of SD of ADC values between malignant chest tumors and benign chest tumors was shown significant difference (P < 0.01). The values of AUC was 0.967 between malignant chest tumors and benign chest tumors (P < 0.05). The ADC values for primary lung cancers, metastatic tumors and benign tumors were not significantly difference (P > 0.05). CONCLUSIONS The mean of SD of ADC value by DWI can be used for differential diagnosis of chest lesions.
Collapse
Affiliation(s)
- Nan-Han Lu
- Department of Radiology, E-DA Hospital, I-Shou University, Kaohsiung City, Taiwan
- Department of Medical Imaging and Radiological Sciences, I-Shou University, Kaohsiung City, Taiwan
| | - Chao-Ming Hung
- Department of General Sugary, E-DA Hospital, I-Shou University, Kaohsiung City, Taiwan
- The School of Medicine, I-Shou University, Kaohsiung City, Taiwan
| | - Kuo-Ying Liu
- Department of Radiology, E-DA Hospital, I-Shou University, Kaohsiung City, Taiwan
- Department of Medical Imaging and Radiological Sciences, I-Shou University, Kaohsiung City, Taiwan
- Department of Information Engineering, I-Shou University, Kaohsiung City, Taiwan
| | - Tai-Been Chen
- Department of Medical Imaging and Radiological Sciences, I-Shou University, Kaohsiung City, Taiwan
| | - Yung-Hui Huang
- Department of Medical Imaging and Radiological Sciences, I-Shou University, Kaohsiung City, Taiwan
| |
Collapse
|
33
|
Dewes P, Frellesen C, Al-Butmeh F, Albrecht MH, Scholtz JE, Metzger SC, Lehnert T, Vogl TJ, Wichmann JL. Comparative evaluation of non-contrast CAIPIRINHA-VIBE 3T-MRI and multidetector CT for detection of pulmonary nodules: In vivo evaluation of diagnostic accuracy and image quality. Eur J Radiol 2016; 85:193-198. [DOI: 10.1016/j.ejrad.2015.11.020] [Citation(s) in RCA: 30] [Impact Index Per Article: 3.8] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/08/2015] [Revised: 11/09/2015] [Accepted: 11/12/2015] [Indexed: 02/07/2023]
|
34
|
Meier-Schroers M, Kukuk G, Homsi R, Skowasch D, Schild HH, Thomas D. MRI of the lung using the PROPELLER technique: Artifact reduction, better image quality and improved nodule detection. Eur J Radiol 2015; 85:707-13. [PMID: 26971412 DOI: 10.1016/j.ejrad.2015.12.016] [Citation(s) in RCA: 30] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/24/2015] [Revised: 12/17/2015] [Accepted: 12/18/2015] [Indexed: 02/08/2023]
Abstract
PURPOSE To evaluate the benefit of the PROPELLER technique (Periodically Rotated Overlapping ParallEL Lines with Enhanced Reconstruction, MultiVane, MV) for MR imaging of the lung. MATERIALS AND METHODS 30 Participants of a lung cancer screening program were recruited for the comparison of T2-MV and T2-Fast Spin Echo (FSE) sequences at 1.5T. Two readers evaluated artifacts, image quality, and pulmonary lesions. Artifacts and image quality were rated using a four-point scale. Lesion detection was correlated to low-dose computed tomography (CT). Wilcoxon rank-test for ratings of artifacts and image quality, sensitivity and specificity values for lesion detection, and Cohen's kappa for inter-rater agreement were used. RESULTS The MV sequence showed less pulsation and motion artifacts, and higher image quality (p=0.001 for R1, p=0.002 for R2) than FSE (p<0.001 for both readers, R1 and R2). Inter-rater agreement was excellent for lesion detection (0.84-0.95) and good to excellent for artifacts and image quality (0.66-0.84). 17 patients had lesions <8mm, and 7 had lesions >8mm as seen on CT. For R1 and R2, the MV sequence allowed for higher detection rates of pulmonary lesions <8mm with a sensitivity of 56% (R1) and 59% (R2); the FSE sequence achieved 50% (R1) and 53% (R2). Specificity was also higher for MV with 94% (R1) and 83% (R2) compared to 78% (R1) and 76% (R2). Lesions >8mm were detected with a sensitivity of 100% by both readers on both MV and FSE images. For both readers, specificity for larger lesions was higher on MV images with 100% compared to 96%. CONCLUSION The superior image quality and the very robust artifact reduction make MV a promising technique for MRI of the lung compared to FSE, especially since it is not requiring breathholds. Moreover, MV allows for improved lesion detection.
Collapse
Affiliation(s)
| | - Guido Kukuk
- Department of Radiology, University of Bonn, Sigmund-Freud-Str 25, 53127 Bonn, Germany.
| | - Rami Homsi
- Department of Radiology, University of Bonn, Sigmund-Freud-Str 25, 53127 Bonn, Germany.
| | - Dirk Skowasch
- Department of Internal Medicine II, Cardiology, Pneumology and Angiology, University of Bonn, Germany.
| | - Hans Heinz Schild
- Department of Radiology, University of Bonn, Sigmund-Freud-Str 25, 53127 Bonn, Germany.
| | - Daniel Thomas
- Department of Radiology, University of Bonn, Sigmund-Freud-Str 25, 53127 Bonn, Germany.
| |
Collapse
|
35
|
Zöllner FG, Daab M, Weidner M, Sommer V, Zahn K, Schaible T, Weisser G, Schoenberg SO, Neff KW, Schad LR. Semi-automatic lung segmentation of DCE-MRI data sets of 2-year old children after congenital diaphragmatic hernia repair: Initial results. Magn Reson Imaging 2015; 33:1345-1349. [DOI: 10.1016/j.mri.2015.08.003] [Citation(s) in RCA: 7] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/25/2014] [Accepted: 08/08/2015] [Indexed: 11/17/2022]
|
36
|
Sawicki LM, Grueneisen J, Buchbender C, Schaarschmidt BM, Gomez B, Ruhlmann V, Umutlu L, Antoch G, Heusch P. Evaluation of the Outcome of Lung Nodules Missed on 18F-FDG PET/MRI Compared with 18F-FDG PET/CT in Patients with Known Malignancies. J Nucl Med 2015; 57:15-20. [PMID: 26514173 DOI: 10.2967/jnumed.115.162966] [Citation(s) in RCA: 44] [Impact Index Per Article: 4.9] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/16/2015] [Accepted: 09/08/2015] [Indexed: 12/15/2022] Open
Abstract
UNLABELLED The lower detection rate of (18)F-FDG PET/MRI than (18)F-FDG PET/CT regarding small lung nodules should be considered in the staging of malignant tumors. The purpose of this study was to evaluate the outcome of these small lung nodules missed by (18)F-FDG PET/MRI. METHODS Fifty-one oncologic patients (mean age ± SD, 56.6 ± 14.0 y; 29 women, 22 men; tumor stages, I [n = 7], II [n = 7], III [n = 9], IV [n = 28]) who underwent (18)F-FDG PET/CT and subsequent (18)F-FDG PET/MRI on the same day were retrospectively enrolled. Images were analyzed by 2 interpreters in random order and separate sessions with a minimum of 4 wk apart. A maximum of 10 lung nodules was identified for each patient on baseline imaging. The presence, size, and presence of focal tracer uptake was noted for each lung nodule detected on (18)F-FDG PET/CT and (18)F-FDG PET/MRI using a postcontrast T1-weighted 3-dimensional gradient echo volume-interpolated breath-hold examination sequence with fat suppression as morphologic dataset. Follow-up CT or (18)F-FDG PET/CT (mean time to follow-up, 11 mo; range, 3-35 mo) was used as a reference standard to define each missed nodule as benign or malignant based on changes in size and potential new tracer uptake. Nodule-to-nodule comparison between baseline and follow-up was performed using descriptive statistics. RESULTS Out of 134 lung nodules found on (18)F-FDG PET/CT, (18)F-FDG PET/MRI detected 92 nodules. Accordingly, 42 lung nodules (average size ± SD, 3.9 ± 1.3 mm; range, 2-7 mm) were missed by (18)F-FDG PET/MRI. None of the missed lung nodules presented with focal tracer uptake on baseline imaging or follow-up (18)F-FDG PET/CT. Thirty-three out of 42 missed lung nodules (78.6%) in 26 patients were rated benign, whereas 9 nodules (21.4%) in 4 patients were rated malignant. As a result, 1 patient required upstaging from tumor stage I to IV. CONCLUSION Although most small lung nodules missed on (18)F-FDG PET/MRI were found to be benign, there was a relevant number of undetected metastases. However, in patients with advanced tumor stages the clinical impact remains controversial as upstaging is usually more relevant in lower stages.
Collapse
Affiliation(s)
- Lino M Sawicki
- Department of Diagnostic and Interventional Radiology, Medical Faculty, University Dusseldorf, Dusseldorf, Germany
| | - Johannes Grueneisen
- Department of Diagnostic and Interventional Radiology and Neuroradiology, Medical Faculty, University Duisburg-Essen, Essen, Germany; and
| | - Christian Buchbender
- Department of Diagnostic and Interventional Radiology, Medical Faculty, University Dusseldorf, Dusseldorf, Germany
| | - Benedikt M Schaarschmidt
- Department of Diagnostic and Interventional Radiology, Medical Faculty, University Dusseldorf, Dusseldorf, Germany
| | - Benedikt Gomez
- Department of Nuclear Medicine, Medical Faculty, University Duisburg-Essen, Essen, Germany
| | - Verena Ruhlmann
- Department of Nuclear Medicine, Medical Faculty, University Duisburg-Essen, Essen, Germany
| | - Lale Umutlu
- Department of Diagnostic and Interventional Radiology and Neuroradiology, Medical Faculty, University Duisburg-Essen, Essen, Germany; and
| | - Gerald Antoch
- Department of Diagnostic and Interventional Radiology, Medical Faculty, University Dusseldorf, Dusseldorf, Germany
| | - Philipp Heusch
- Department of Diagnostic and Interventional Radiology, Medical Faculty, University Dusseldorf, Dusseldorf, Germany
| |
Collapse
|
37
|
Jobst BJ, Wielpütz MO, Triphan SMF, Anjorin A, Ley-Zaporozhan J, Kauczor HU, Biederer J, Ley S, Sedlaczek O. Morpho-Functional 1H-MRI of the Lung in COPD: Short-Term Test-Retest Reliability. PLoS One 2015; 10:e0137282. [PMID: 26327295 PMCID: PMC4556659 DOI: 10.1371/journal.pone.0137282] [Citation(s) in RCA: 14] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/20/2015] [Accepted: 08/16/2015] [Indexed: 12/20/2022] Open
Abstract
Purpose Non-invasive end-points for interventional trials and tailored treatment regimes in chronic obstructive pulmonary disease (COPD) for monitoring regionally different manifestations of lung disease instead of global assessment of lung function with spirometry would be valuable. Proton nuclear magnetic resonance imaging (1H-MRI) allows for a radiation-free assessment of regional structure and function. The aim of this study was to evaluate the short-term reproducibility of a comprehensive morpho-functional lung MRI protocol in COPD. Materials and Methods 20 prospectively enrolled COPD patients (GOLD I-IV) underwent 1H-MRI of the lung at 1.5T on two consecutive days, including sequences for morphology, 4D contrast-enhanced perfusion, and respiratory mechanics. Image quality and COPD-related morphological and functional changes were evaluated in consensus by three chest radiologists using a dedicated MRI-based visual scoring system. Test-retest reliability was calculated per each individual lung lobe for the extent of large airway (bronchiectasis, wall thickening, mucus plugging) and small airway abnormalities (tree in bud, peripheral bronchiectasis, mucus plugging), consolidations, nodules, parenchymal defects and perfusion defects. The presence of tracheal narrowing, dystelectasis, pleural effusion, pulmonary trunk ectasia, right ventricular enlargement and, finally, motion patterns of diaphragma and chest wall were addressed. Results Median global scores [10(Q1:8.00;Q3:16.00) vs.11(Q1:6.00;Q3:15.00)] as well as category subscores were similar between both timepoints, and kappa statistics indicated “almost perfect” global agreement (ĸ = 0.86, 95%CI = 0.81–0.91). Most subscores showed at least “substantial” agreement of MRI1 and MRI2 (ĸ = 0.64–1.00), whereas the agreement for the diagnosis of dystelectasis/effusion (ĸ = 0.42, 95%CI = 0.00–0.93) was “moderate” and of tracheal abnormalities (ĸ = 0.21, 95%CI = 0.00–0.75) “fair”. Most MRI acquisitions showed at least diagnostic quality at MRI1 (276 of 278) and MRI2 (259 of 264). Conclusion Morpho-functional 1H-MRI can be obtained with reproducible image quality and high short-term test-retest reliability for COPD-related morphological and functional changes of the lung. This underlines its potential value for the monitoring of regional lung characteristics in COPD trials.
Collapse
Affiliation(s)
- Bertram J Jobst
- Department of Diagnostic & Interventional Radiology, University Hospital of Heidelberg, Heidelberg, Germany; Translational Lung Research Center Heidelberg (TLRC), Member of the German Lung Research Center (DZL), Heidelberg, Germany; Department of Diagnostic and Interventional Radiology with Nuclear Medicine, Thoraxklinik at University of Heidelberg, Heidelberg, Germany
| | - Mark O Wielpütz
- Department of Diagnostic & Interventional Radiology, University Hospital of Heidelberg, Heidelberg, Germany; Translational Lung Research Center Heidelberg (TLRC), Member of the German Lung Research Center (DZL), Heidelberg, Germany; Department of Diagnostic and Interventional Radiology with Nuclear Medicine, Thoraxklinik at University of Heidelberg, Heidelberg, Germany
| | - Simon M F Triphan
- Department of Diagnostic & Interventional Radiology, University Hospital of Heidelberg, Heidelberg, Germany; Translational Lung Research Center Heidelberg (TLRC), Member of the German Lung Research Center (DZL), Heidelberg, Germany; Research Center Magnetic Resonance Bavaria (MRB), Würzburg, Germany
| | - Angela Anjorin
- Department of Diagnostic & Interventional Radiology, University Hospital of Heidelberg, Heidelberg, Germany; Translational Lung Research Center Heidelberg (TLRC), Member of the German Lung Research Center (DZL), Heidelberg, Germany; Department of Diagnostic and Interventional Radiology with Nuclear Medicine, Thoraxklinik at University of Heidelberg, Heidelberg, Germany
| | - Julia Ley-Zaporozhan
- Department of Diagnostic & Interventional Radiology, University Hospital of Heidelberg, Heidelberg, Germany; Translational Lung Research Center Heidelberg (TLRC), Member of the German Lung Research Center (DZL), Heidelberg, Germany; Institute for Clinical Radiology, Ludwig-Maximilians-University Hospital Munich, Munich, Germany
| | - Hans-Ulrich Kauczor
- Department of Diagnostic & Interventional Radiology, University Hospital of Heidelberg, Heidelberg, Germany; Translational Lung Research Center Heidelberg (TLRC), Member of the German Lung Research Center (DZL), Heidelberg, Germany; Department of Diagnostic and Interventional Radiology with Nuclear Medicine, Thoraxklinik at University of Heidelberg, Heidelberg, Germany
| | - Jürgen Biederer
- Department of Diagnostic & Interventional Radiology, University Hospital of Heidelberg, Heidelberg, Germany; Translational Lung Research Center Heidelberg (TLRC), Member of the German Lung Research Center (DZL), Heidelberg, Germany; Radiologie Darmstadt, Department of Radiology, County Hospital Gross-Gerau, Gross-Gerau, Germany
| | - Sebastian Ley
- Department of Diagnostic & Interventional Radiology, University Hospital of Heidelberg, Heidelberg, Germany; Translational Lung Research Center Heidelberg (TLRC), Member of the German Lung Research Center (DZL), Heidelberg, Germany; Department of Diagnostic & Interventional Radiology, Surgical Hospital Dr. Rinecker, Munich, Germany
| | - Oliver Sedlaczek
- Department of Diagnostic & Interventional Radiology, University Hospital of Heidelberg, Heidelberg, Germany; Translational Lung Research Center Heidelberg (TLRC), Member of the German Lung Research Center (DZL), Heidelberg, Germany; Department of Diagnostic and Interventional Radiology with Nuclear Medicine, Thoraxklinik at University of Heidelberg, Heidelberg, Germany
| |
Collapse
|
38
|
Beek EJRV, Mirsadraee S, Murchison JT. Lung cancer screening: Computed tomography or chest radiographs? World J Radiol 2015; 7:189-193. [PMID: 26339461 PMCID: PMC4553249 DOI: 10.4329/wjr.v7.i8.189] [Citation(s) in RCA: 21] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/30/2015] [Revised: 04/29/2015] [Accepted: 05/28/2015] [Indexed: 02/06/2023] Open
Abstract
Worldwide, lung cancer is the leading cause of mortality due to malignancy. The vast majority of cases of lung cancer are smoking related and the most effective way of reducing lung cancer incidence and mortality is by smoking cessation. In the Western world, smoking cessation policies have met with limited success. The other major means of reducing lung cancer deaths is to diagnose cases at an earlier more treatable stage employing screening programmes using chest radiographs or low dose computed tomography. In many countries smoking is still on the increase, and the sheer scale of the problem limits the affordability of such screening programmes. This short review article will evaluate the current evidence and potential areas of research which may benefit policy making across the world.
Collapse
|
39
|
|
40
|
Ohno Y, Koyama H, Yoshikawa T, Takenaka D, Seki S, Yui M, Yamagata H, Aoyagi K, Matsumoto S, Sugimura K. Three-way Comparison of Whole-Body MR, Coregistered Whole-Body FDG PET/MR, and Integrated Whole-Body FDG PET/CT Imaging: TNM and Stage Assessment Capability for Non-Small Cell Lung Cancer Patients. Radiology 2015; 275:849-61. [PMID: 25584709 DOI: 10.1148/radiol.14140936] [Citation(s) in RCA: 53] [Impact Index Per Article: 5.9] [Reference Citation Analysis] [Abstract] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/25/2022]
Abstract
PURPOSE To prospectively compare the capabilities for TNM classification and assessment of clinical stage and operability among whole-body magnetic resonance (MR) imaging, coregistered positron emission tomographic (PET)/MR imaging with and without MR signal intensity (SI) assessment, and integrated fluorine 18 fluorodeoxyglucose (FDG) PET/computed tomography (CT) in non-small cell lung cancer (NSCLC) patients. MATERIALS AND METHODS The institutional review board approved this study, and written informed consent was obtained from each patient. One hundred forty consecutive NSCLC patients (75 men, 65 women; mean age, 72 years) prospectively underwent whole-body MR imaging, FDG PET/CT, conventional radiologic examinations, and surgical, pathologic, and/or follow-up examinations. All factors and clinical stage and operability were then visually assessed. All PET/MR examinations were assessed with and without SI assessment. One examination used anatomic, metabolic, and relaxation-time information, and the other used only anatomic and metabolic information. κ statistics were used for assessment of all factors and clinical stages with final diagnoses. McNemar test was used to compare the capability of all methods to assess operability. RESULTS Agreements of assessment of every factor (κ = 0.63-0.97) and clinical stage (κ = 0.65-0.90) were substantial or almost perfect. Regarding capability to assess operability, accuracy of whole-body MR imaging and PET/MR imaging with SI assessment (97.1% [136 of 140]) was significantly higher than that of MR/PET without SI assessment and integrated FDG PET/CT (85.0% [119 of 140]; P < .001). CONCLUSION Accuracies of whole-body MR imaging and PET/MR imaging with SI assessment are superior to PET/MR without SI assessment and PET/CT for identification of TNM factor, clinical stage, and operability evaluation of NSCLC patients.
Collapse
Affiliation(s)
- Yoshiharu Ohno
- From the Advanced Biomedical Imaging Research Center (Y.O., T.Y., S.M.), Division of Functional and Diagnostic Imaging Research, Department of Radiology (Y.O., T.Y., S.M.), and Division of Radiology, Department of Radiology (H.K., D.T., S.S., K.S.), Kobe University Graduate School of Medicine, 7-5-2 Kusunoki-cho, Chuo-ku, Akashi 650-0017, Japan; Department of Radiology, Hyogo Cancer Center, Kobe, Japan (D.T.); and Toshiba Medical Systems Corporation, Otawara, Japan (M.Y., H.Y., K.A.)
| | | | | | | | | | | | | | | | | | | |
Collapse
|
41
|
Abstract
PURPOSE OF REVIEW Primary lung cancer is still the number one cause of cancer death worldwide. Screening, detection and staging of lung cancer are important because the only potentially curative therapy today is surgical resection of early-stage lung cancer. RECENT FINDINGS Different imaging techniques can be used in these different processes. Recent advances in computed tomography (CT) technology have allowed investigation of novel methods for the evaluation of lung cancer. Recent advances in magnetic resonance technology and administration of contrast media have further improved the image quality and diagnostic capability of magnetic resonance. Positron emission tomography (PET)/CT has been shown to be superior to stand-alone PET or CT in the evaluation of lymph nodes and in the detection of distant metastases. SUMMARY The current recommended imaging required for lung cancer staging is CT of the thorax and PET/CT from skull base to mid-thigh. However, with the recent developments in the armamentarium of imaging techniques, the choice of one of these techniques can be directed by the presence of a technique in a local hospital and/or by the presence of an experienced person at that time.
Collapse
|
42
|
Sommer G, Koenigkam-Santos M, Biederer J, Puderbach M. [Role of MRI for detection and characterization of pulmonary nodules]. Radiologe 2015; 54:470-7. [PMID: 24756231 DOI: 10.1007/s00117-013-2604-4] [Citation(s) in RCA: 12] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/16/2022]
Abstract
BACKGROUND Due to physical and technical limitations, magnetic resonance imaging (MRI) has hitherto played only a minor role in image-based diagnostics of the lungs. However, as a consequence of important methodological developments during recent years, MRI has developed into a technically mature and clinically well-proven method for specific pulmonary questions. OBJECTIVES AND METHODS The purpose of this article is to provide an overview on the currently available sequences and techniques for assessment of pulmonary nodules and analyzes the clinical significance according to the current literature. The main focus is on the detection of lung metastases, the detection of primary pulmonary malignancies in high-risk individuals and the differentiation between pulmonary nodules of benign and malignant character. RESULTS AND CONCLUSION The MRI technique has a sensitivity of approximately 80 % for detection of malignant pulmonary nodules compared to the reference standard low-dose computed tomography (CT) and is thus somewhat inferior to CT. Advantages of MRI on the other hand are a higher specificity in differentiating malignant and benign pulmonary nodules and the absence of ionizing radiation exposure. A systematic use of MRI as a primary tool for detection and characterization of pulmonary nodules is currently not recommended due to insufficient data. The diagnostic potential of MRI for early detection and staging of malignant pulmonary diseases, however, seems promising. Therefore, further evaluation of MRI as a secondary imaging modality in clinical trials is highly warranted.
Collapse
Affiliation(s)
- G Sommer
- Klinik für Radiologie und Nuklearmedizin, Universitätsspital Basel, Petersgraben 4, 4031, Basel, Schweiz,
| | | | | | | |
Collapse
|
43
|
Heye T, Sommer G, Miedinger D, Bremerich J, Bieri O. Ultrafast 3D balanced steady-state free precession MRI of the lung: Assessment of anatomic details in comparison to low-dose CT. J Magn Reson Imaging 2014; 42:602-9. [PMID: 25545835 DOI: 10.1002/jmri.24836] [Citation(s) in RCA: 14] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/27/2014] [Accepted: 12/11/2014] [Indexed: 11/05/2022] Open
Abstract
PURPOSE To evaluate the anatomical details offered by a new single breath-hold ultrafast 3D balanced steady-state free precession (uf-bSSFP) sequence in comparison to low-dose chest computed tomography (CT). MATERIALS AND METHODS This was an Institutional Review Board (IRB)-approved, Health Insurance Portability and Accountability Act (HIPAA)-compliant prospective study. A total of 20 consecutive patients enrolled in a lung cancer screening trial underwent same-day low-dose chest CT and 1.5T MRI. The presence of pulmonary nodules and anatomical details on 1.9 mm isotropic uf-bSSFP images was compared to 2 mm lung window reconstructions by two readers. The number of branching points on six predefined pulmonary arteries and the distance between the most peripheral visible vessel segment to the pleural surface on thin slices and 50 mm maximum intensity projections (MIP) were assessed. Image quality and sharpness of the pulmonary vasculature were rated on a 5-point scale. RESULTS The uf-bSSFP detection rate of pulmonary nodules (32 nodules visible on CT and MRI, median diameter 3.9 mm) was 45.5% with 21 false-positive findings (pooled data of both readers). Uf-bSSFP detected 71.2% of branching points visible on CT data. The mean distance between peripheral vasculature and pleural surface was 13.0 ± 4.2 mm (MRI) versus 8.5 ± 3.3 mm (CT) on thin slices and 8.6 ± 3.9 mm (MRI) versus 4.6 ± 2.5 mm (CT) on MIPs. Median image quality and sharpness were rated 4 each. CONCLUSION Although CT is superior to MRI, uf-bSSFP imaging provides good anatomical details with sufficient image quality and sharpness obtainable in a single breath-hold covering the entire chest.
Collapse
Affiliation(s)
- Tobias Heye
- Cardiothoracic Section, Department of Radiology and Nuclear Medicine, University Hospital Basel, Switzerland
| | - Gregor Sommer
- Cardiothoracic Section, Department of Radiology and Nuclear Medicine, University Hospital Basel, Switzerland
| | | | - Jens Bremerich
- Cardiothoracic Section, Department of Radiology and Nuclear Medicine, University Hospital Basel, Switzerland
| | - Oliver Bieri
- MR Physics, Department of Radiology and Nuclear Medicine, University Hospital Basel, Switzerland
| |
Collapse
|
44
|
Miller GW, Mugler JP, Sá RC, Altes TA, Prisk GK, Hopkins SR. Advances in functional and structural imaging of the human lung using proton MRI. NMR IN BIOMEDICINE 2014; 27:1542-56. [PMID: 24990096 PMCID: PMC4515033 DOI: 10.1002/nbm.3156] [Citation(s) in RCA: 39] [Impact Index Per Article: 3.9] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 01/31/2014] [Revised: 04/30/2014] [Accepted: 06/01/2014] [Indexed: 05/05/2023]
Abstract
The field of proton lung MRI is advancing on a variety of fronts. In the realm of functional imaging, it is now possible to use arterial spin labeling (ASL) and oxygen-enhanced imaging techniques to quantify regional perfusion and ventilation, respectively, in standard units of measurement. By combining these techniques into a single scan, it is also possible to quantify the local ventilation-perfusion ratio, which is the most important determinant of gas-exchange efficiency in the lung. To demonstrate potential for accurate and meaningful measurements of lung function, this technique was used to study gravitational gradients of ventilation, perfusion, and ventilation-perfusion ratio in healthy subjects, yielding quantitative results consistent with expected regional variations. Such techniques can also be applied in the time domain, providing new tools for studying temporal dynamics of lung function. Temporal ASL measurements showed increased spatial-temporal heterogeneity of pulmonary blood flow in healthy subjects exposed to hypoxia, suggesting sensitivity to active control mechanisms such as hypoxic pulmonary vasoconstriction, and illustrating that to fully examine the factors that govern lung function it is necessary to consider temporal as well as spatial variability. Further development to increase spatial coverage and improve robustness would enhance the clinical applicability of these new functional imaging tools. In the realm of structural imaging, pulse sequence techniques such as ultrashort echo-time radial k-space acquisition, ultrafast steady-state free precession, and imaging-based diaphragm triggering can be combined to overcome the significant challenges associated with proton MRI in the lung, enabling high-quality three-dimensional imaging of the whole lung in a clinically reasonable scan time. Images of healthy and cystic fibrosis subjects using these techniques demonstrate substantial promise for non-contrast pulmonary angiography and detailed depiction of airway disease. Although there is opportunity for further optimization, such approaches to structural lung imaging are ready for clinical testing.
Collapse
Affiliation(s)
- G. Wilson Miller
- Center for In-Vivo Hyperpolarized Gas MRI, Department of Radiology & Medical Imaging
- Department of Biomedical Engineering University of Virginia Charlottesville, VA
- Address correspondence to: Wilson Miller, Radiology Research, 480 Ray C. Hunt Dr., Box 801339, Charlottesville, VA 22908, Phone: 434-243-9216, Fax: 434-924-9435,
| | - John P. Mugler
- Center for In-Vivo Hyperpolarized Gas MRI, Department of Radiology & Medical Imaging
- Department of Biomedical Engineering University of Virginia Charlottesville, VA
| | - Rui C. Sá
- Department of Medicine, Pulmonary Imaging Laboratory, University of California, San Diego La Jolla, CA
| | - Talissa A. Altes
- Center for In-Vivo Hyperpolarized Gas MRI, Department of Radiology & Medical Imaging
| | - G. Kim Prisk
- Department of Medicine, Pulmonary Imaging Laboratory, University of California, San Diego La Jolla, CA
- Department of Radiology, University of California, San Diego La Jolla, CA
| | - Susan R. Hopkins
- Department of Medicine, Pulmonary Imaging Laboratory, University of California, San Diego La Jolla, CA
- Department of Radiology, University of California, San Diego La Jolla, CA
| |
Collapse
|
45
|
Kim HS, Lee KS, Ohno Y, van Beek EJ, Biederer J. PET/CT versus MRI for diagnosis, staging, and follow-up of lung cancer. J Magn Reson Imaging 2014; 42:247-60. [DOI: 10.1002/jmri.24776] [Citation(s) in RCA: 47] [Impact Index Per Article: 4.7] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/04/2014] [Accepted: 09/27/2014] [Indexed: 12/19/2022] Open
Affiliation(s)
- Hyun Su Kim
- Department of Radiology and Center for Imaging Science; Samsung Medical Center, Sungkyunkwan University School of Medicine; Seoul Korea
| | - Kyung Soo Lee
- Department of Radiology and Center for Imaging Science; Samsung Medical Center, Sungkyunkwan University School of Medicine; Seoul Korea
| | - Yoshiharu Ohno
- Division of Functional and Diagnostic Imaging Research; Department of Radiology; and Advanced Biomedical Imaging Research Centre, Kobe University Graduate School of Medicine; Kobe Japan
| | | | - Juergen Biederer
- Radiologie Darmstadt; Gross-Gerau County Hospital; Gross-Gerau Germany
| |
Collapse
|
46
|
|