1
|
Rheinheimer S, Christopoulos P, Erdmann S, Saupe J, Golpon H, Vogel-Claussen J, Dinkel J, Thomas M, Heussel CP, Kauczor HU, Heussel G. Dynamic contrast enhanced MRI of pulmonary adenocarcinomas for early risk stratification: higher contrast uptake associated with response and better prognosis. BMC Med Imaging 2022; 22:215. [PMID: 36471318 PMCID: PMC9724354 DOI: 10.1186/s12880-022-00943-x] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/23/2022] [Accepted: 11/28/2022] [Indexed: 12/12/2022] Open
Abstract
BACKGROUND To explore the prognostic value of serial dynamic contrast-enhanced (DCE) MRI in patients with advanced pulmonary adenocarcinoma undergoing first-line therapy with either tyrosine-kinase inhibitors (TKI) or platinum-based chemotherapy (PBC). METHODS Patients underwent baseline (day 0, n = 98), and post-therapeutic DCE MRI (PBC: day + 1, n = 52); TKI: day + 7, n = 46) at 1.5T. Perfusion curves were acquired at 10, 40, and 70 s after contrast application and analysed semiquantitatively. Treatment response was evaluated at 6 weeks by CT (RECIST 1.1); progression-free survival (PFS) and overall survival were analysed with respect to clinical and perfusion parameters. Relative uptake was defined as signal difference between contrast and non-contrast images, divided by the non-contrast signal. Predictors of survival were selected using Cox regression analysis. Median follow-up was 825 days. RESULTS In pre-therapeutic and early post-therapeutic MRI, treatment responders (n = 27) showed significantly higher relative contrast uptake within the tumor at 70 s after application as compared to non-responders (n = 71, p ≤ 0.02), response defined as PR by RECIST 1.1 at 6 weeks. There was no significant change of perfusion at early MRI after treatment. In multivariate regression analysis of selected parameters, the strongest association with PFS were relative uptake at 40 s in the early post-treatment MRI and pre-treatment clinical data (presence of liver metastases, ECOG performance status). CONCLUSION Higher contrast uptake within the tumor at pre-treatment and early post-treatment MRI was associated with treatment response and better prognosis. DCE MRI of pulmonary adenocarcinoma may provide important prognostic information.
Collapse
Affiliation(s)
- Stephan Rheinheimer
- grid.7700.00000 0001 2190 4373Diagnostic and Interventional Radiology with Nuclear Medicine, Thoraxklinik at University of Heidelberg, Röntgenstrasse 1, 69126 Heidelberg, Germany ,grid.5253.10000 0001 0328 4908Diagnostic and Interventional Radiology, University Hospital Heidelberg, Im Neuenheimer Feld 420, 69120 Heidelberg, Germany ,grid.7700.00000 0001 2190 4373Translational Lung Research Center Heidelberg (TLRC), University of Heidelberg, Im Neuenheimer Feld 420, 69120 Heidelberg, Germany ,Radiology, Asklepios Hospital Munich, Robert-Koch-Allee 2, 82131 Gauting, Germany
| | - Petros Christopoulos
- grid.7700.00000 0001 2190 4373Translational Lung Research Center Heidelberg (TLRC), University of Heidelberg, Im Neuenheimer Feld 420, 69120 Heidelberg, Germany ,grid.7700.00000 0001 2190 4373Thoracic Oncology, Thoraxklinik at University of Heidelberg, Röntgenstrasse 1, 69126 Heidelberg, Germany ,grid.452624.3German Center for Lung Research (DZL), Giessen, Germany
| | - Stella Erdmann
- Medical Biometry, Institute of Medical Biometry, Im Neuenheimer Feld 130.3, 69120 Heidelberg, Germany ,grid.452624.3German Center for Lung Research (DZL), Giessen, Germany
| | - Julia Saupe
- grid.7700.00000 0001 2190 4373Diagnostic and Interventional Radiology with Nuclear Medicine, Thoraxklinik at University of Heidelberg, Röntgenstrasse 1, 69126 Heidelberg, Germany ,grid.5253.10000 0001 0328 4908Diagnostic and Interventional Radiology, University Hospital Heidelberg, Im Neuenheimer Feld 420, 69120 Heidelberg, Germany ,grid.7700.00000 0001 2190 4373Translational Lung Research Center Heidelberg (TLRC), University of Heidelberg, Im Neuenheimer Feld 420, 69120 Heidelberg, Germany ,grid.452624.3German Center for Lung Research (DZL), Giessen, Germany
| | - Heiko Golpon
- grid.7700.00000 0001 2190 4373Translational Lung Research Center Heidelberg (TLRC), University of Heidelberg, Im Neuenheimer Feld 420, 69120 Heidelberg, Germany ,grid.10423.340000 0000 9529 9877Department of Respiratory Medicine, Hannover Medical School, Carl-Neuberg-Str. 1, 30625 Hannover, Germany ,grid.452624.3German Center for Lung Research (DZL), Giessen, Germany
| | - Jens Vogel-Claussen
- grid.7700.00000 0001 2190 4373Translational Lung Research Center Heidelberg (TLRC), University of Heidelberg, Im Neuenheimer Feld 420, 69120 Heidelberg, Germany ,Diagnostic and Interventional Radiology and Biomedical Research in Endstage and Obstructive Lung Disease Hannover (BREATH), Carl-Neuberg-Str. 1, 30625 Hannover, Germany ,grid.10423.340000 0000 9529 9877Institute of Diagnostic and Interventional Radiology, Hannover Medical School, Carl-Neuberg-Str. 1, 30625 Hannover, Germany ,grid.452624.3German Center for Lung Research (DZL), Giessen, Germany
| | - Julien Dinkel
- grid.7700.00000 0001 2190 4373Translational Lung Research Center Heidelberg (TLRC), University of Heidelberg, Im Neuenheimer Feld 420, 69120 Heidelberg, Germany ,Radiology, Asklepios Hospital Munich, Robert-Koch-Allee 2, 82131 Gauting, Germany ,grid.452624.3German Center for Lung Research (DZL), Giessen, Germany
| | - Michael Thomas
- grid.7700.00000 0001 2190 4373Translational Lung Research Center Heidelberg (TLRC), University of Heidelberg, Im Neuenheimer Feld 420, 69120 Heidelberg, Germany ,grid.7700.00000 0001 2190 4373Thoracic Oncology, Thoraxklinik at University of Heidelberg, Röntgenstrasse 1, 69126 Heidelberg, Germany ,grid.452624.3German Center for Lung Research (DZL), Giessen, Germany
| | - Claus Peter Heussel
- grid.7700.00000 0001 2190 4373Diagnostic and Interventional Radiology with Nuclear Medicine, Thoraxklinik at University of Heidelberg, Röntgenstrasse 1, 69126 Heidelberg, Germany ,grid.5253.10000 0001 0328 4908Diagnostic and Interventional Radiology, University Hospital Heidelberg, Im Neuenheimer Feld 420, 69120 Heidelberg, Germany ,grid.7700.00000 0001 2190 4373Translational Lung Research Center Heidelberg (TLRC), University of Heidelberg, Im Neuenheimer Feld 420, 69120 Heidelberg, Germany ,grid.452624.3German Center for Lung Research (DZL), Giessen, Germany
| | - Hans-Ulrich Kauczor
- grid.5253.10000 0001 0328 4908Diagnostic and Interventional Radiology, University Hospital Heidelberg, Im Neuenheimer Feld 420, 69120 Heidelberg, Germany ,grid.7700.00000 0001 2190 4373Translational Lung Research Center Heidelberg (TLRC), University of Heidelberg, Im Neuenheimer Feld 420, 69120 Heidelberg, Germany ,grid.452624.3German Center for Lung Research (DZL), Giessen, Germany
| | - Gudula Heussel
- grid.7700.00000 0001 2190 4373Diagnostic and Interventional Radiology with Nuclear Medicine, Thoraxklinik at University of Heidelberg, Röntgenstrasse 1, 69126 Heidelberg, Germany ,grid.7700.00000 0001 2190 4373Thoracic Oncology, Thoraxklinik at University of Heidelberg, Röntgenstrasse 1, 69126 Heidelberg, Germany ,grid.452624.3German Center for Lung Research (DZL), Giessen, Germany
| |
Collapse
|
2
|
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
|
4
|
Chen L, Liu D, Zhang J, Xie B, Zhou X, Grimm R, Huang X, Wang J, Feng L. Free-breathing dynamic contrast-enhanced MRI for assessment of pulmonary lesions using golden-angle radial sparse parallel imaging. J Magn Reson Imaging 2018; 48:459-468. [PMID: 29437281 DOI: 10.1002/jmri.25977] [Citation(s) in RCA: 22] [Impact Index Per Article: 3.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/01/2017] [Accepted: 01/30/2018] [Indexed: 12/25/2022] Open
Abstract
BACKGROUND Dynamic contrast-enhanced magnetic resonance imaging (DCE-MRI) has been shown to be a promising technique for assessing lung lesions. However, DCE-MRI often suffers from motion artifacts and insufficient imaging speed. Therefore, highly accelerated free-breathing DCE-MRI is of clinical interest for lung exams. PURPOSE To test the performance of rapid free-breathing DCE-MRI for simultaneous qualitative and quantitative assessment of pulmonary lesions using Golden-angle RAdial Sparse Parallel (GRASP) imaging. STUDY TYPE Prospective. POPULATION Twenty-six patients (17 males, mean age = 55.1 ± 14.4) with known pulmonary lesions. FIELD STRENGTH/SEQUENCE 3T MR scanner; a prototype fat-saturated, T1 -weighted stack-of-stars golden-angle radial sequence for data acquisition and a Cartesian breath-hold volumetric-interpolated examination (BH-VIBE) sequence for comparison. ASSESSMENT After a dual-mode GRASP reconstruction, one with 3-second temporal resolution (3s-GRASP) and the other with 15-second temporal resolution (15s-GRASP), all GRASP and BH-VIBE images were pooled together for blind assessment by two experienced radiologists, who independently scored the overall image quality, lesion delineation, overall artifact level, and diagnostic confidence of each case. Perfusion analysis was performed for the 3s-GRASP images using a Tofts model to generate the volume transfer coefficient (Ktrans ) and interstitial volume (Ve ). STATISTICAL TESTS Nonparametric paired two-tailed Wilcoxon signed-rank test; Cohen's kappa; unpaired Student's t-test. RESULTS 15s-GRASP achieved comparable image quality with conventional BH-VIBE (P > 0.05), except for the higher overall artifact level in the precontrast phase (P = 0.018). The Ktrans and Ve in inflammation were higher than those in malignant lesions (Ktrans : 0.78 ± 0.52 min-1 vs. 0.37 ± 0.22 min-1 , P = 0.020; Ve : 0.36 ± 0.16 vs. 0.26 ± 0.1, P = 0.177). Also, the Ktrans and Ve in malignant lesions were also higher than those in benign lesions (Ktrans : 0.37 ± 0.22 min-1 vs. 0.04 ± 0.04 min-1 , P = 0.001; Ve : 0.26 ± 0.12 vs. 0.10 ± 0.00, P = 0.063). DATA CONCLUSION This feasibility study demonstrated the performance of high spatiotemporal resolution free-breathing DCE-MRI of the lung using GRASP for qualitative and quantitative assessment of pulmonary lesions. LEVEL OF EVIDENCE 2 Technical Efficacy: Stage 1 J. MAGN. RESON. IMAGING 2018;48:459-468.
Collapse
Affiliation(s)
- Lihua Chen
- Department of Radiology, Southwest Hospital, Army Medical University (Third Military Medical University), Chongqing, China.,Department of Radiology, PLA 101st Hospital, Wuxi Jiangsu, China
| | - Daihong Liu
- Department of Radiology, Southwest Hospital, Army Medical University (Third Military Medical University), Chongqing, China
| | - Jiuquan Zhang
- Department of Radiology, Southwest Hospital, Army Medical University (Third Military Medical University), Chongqing, China
| | - Bing Xie
- Department of Radiology, Southwest Hospital, Army Medical University (Third Military Medical University), Chongqing, China
| | - Xiaoyue Zhou
- MR Collaboration, North East Asia, Siemens Healthcare, Shanghai, China
| | | | - Xuequan Huang
- Department of Radiology, Southwest Hospital, Army Medical University (Third Military Medical University), Chongqing, China
| | - Jian Wang
- Department of Radiology, Southwest Hospital, Army Medical University (Third Military Medical University), Chongqing, China
| | - Li Feng
- Center for Advanced Imaging Innovation and Research (CAI2R) and Bernard and Irene Schwartz Center for Biomedical Imaging, Department of Radiology, New York University School of Medicine, New York, New York, USA
| |
Collapse
|
6
|
Khalil A, Majlath M, Gounant V, Hess A, Laissy JP, Debray MP. Contribution of magnetic resonance imaging in lung cancer imaging. Diagn Interv Imaging 2016; 97:991-1002. [PMID: 27693089 DOI: 10.1016/j.diii.2016.08.015] [Citation(s) in RCA: 21] [Impact Index Per Article: 2.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/04/2016] [Revised: 08/06/2016] [Accepted: 08/23/2016] [Indexed: 12/25/2022]
Abstract
Lung cancer is the leading cause of cancer death worldwide. Prognosis and treatment outcomes are known to be related to the disease stage at the time of diagnosis. Therefore, an accurate assessment of the extent of disease is critical to determine the most appropriate therapy. Currently available imaging modalities for diagnosis and follow-up consist of morphological and functional imaging. Morphological investigations are mainly performed with CT-scan and in some cases with MRI. In this review, we describe the contribution of MRI in lung cancer staging focusing on solid pulmonary nodule characterization and TNM staging assessment using chest and whole-body MRI examinations, detailing in each chapter current recommendations and future developments.
Collapse
Affiliation(s)
- A Khalil
- Service de radiologie, hôpital Bichat-Claude-Bernard, HUPNVS, AP-HP, 46, rue Henri-Huchard, 75018 Paris, France; Université Paris Diderot, Paris, France.
| | - M Majlath
- Service de radiologie, hôpital Bichat-Claude-Bernard, HUPNVS, AP-HP, 46, rue Henri-Huchard, 75018 Paris, France; Université Paris Diderot, Paris, France
| | - V Gounant
- Service d'oncologie thoracique, hôpital Bichat-Claude-Bernard, HUPNVS, AP-HP, 46, rue Henri-Huchard, 75018 Paris, France
| | - A Hess
- Service de radiologie, hôpital Bichat-Claude-Bernard, HUPNVS, AP-HP, 46, rue Henri-Huchard, 75018 Paris, France
| | - J P Laissy
- Service de radiologie, hôpital Bichat-Claude-Bernard, HUPNVS, AP-HP, 46, rue Henri-Huchard, 75018 Paris, France; Université Paris Diderot, Paris, France
| | - M P Debray
- Service de radiologie, hôpital Bichat-Claude-Bernard, HUPNVS, AP-HP, 46, rue Henri-Huchard, 75018 Paris, France
| |
Collapse
|