J Korean Soc Radiol.  2019 May;80(3):466-476. 10.3348/jksr.2019.80.3.466.

Morphologic Evaluation of Primary Non-Small Cell Lung Cancer by 3 Tesla MRI with Free-Breathing Ultrashort Echo Time and Radial T1-Weighted Gradient Echo Sequences: A Comparison with CT Analysis

Affiliations
  • 1Department of Radiology, Wonju Severance Christian Hospital, Yonsei University Wonju College of Medicine, Wonju, Korea. wckwon@yonsei.ac.kr
  • 2Richard A. and Susan F. Smith Center for Outcomes Research in Cardiology, Department of Medicine, Beth Israel Deaconess Medical Center, Harvard Medical School, Boston, MA, USA.
  • 3Department of Internal Medicine, Wonju Severance Christian Hospital, Yonsei University Wonju College of Medicine, Wonju, Korea.

Abstract

PURPOSE
To evaluate morphologic features of primary non-small cell lung cancer using 3 Tesla MRI with free-breathing compared with CT.
MATERIALS AND METHODS
Thirty-six patients were enrolled. A 64-channel multidetector CT and 3 Tesla MRI with ultrashort echo time pointwise encoding time reduction with radial acquisition (PETRA) and radial volumetric interpolated breath-hold examination (VIBE) were compared in size, shape, margin, internal characteristics, and tumor interface of primary tumor.
RESULTS
There were no significant differences in tumor size between CT and either PETRA or radial VIBE (p = 0.054 and p = 0.764, respectively). Kappa (κ) statistics of shape, margin, and internal characteristics were respectively κ = 0.86, 0.65, 0.77 on PETRA and κ = 0.93, 0.84, 0.83 on radial VIBE compared with CT. PETRA and radial VIBE revealed clearer interface compared with CT (p = 0.000 and p < 0.000, respectively). Radial VIBE showed higher frequency of clear interface (94.4%) than PETRA (88.9%). MRI did not show significantly clear interface which was located in lung base (p = 0.363 on PETRA and p = 0.175 on radial VIBE) compared with CT.
CONCLUSION
MRI with PETRA and radial VIBE sequences can be a feasible method to evaluate morphologic features of primary non-small cell lung cancer compared with CT.


MeSH Terms

Carcinoma, Non-Small-Cell Lung*
Diagnostic Imaging
Humans
Lung
Magnetic Resonance Imaging*
Methods

Figure

  • Fig. 1 Flow chart illustrating patient selection. Among 42 patients with solid lung nodules or masses that were prospectively enrolled, 6 were excluded, resulting in a total of 36 patients with non-small cell lung cancer that were included in the study.

  • Fig. 2 Contrast-enhanced axial chest CT (A), PETRA (B), and radial VIBE (C) images from a 44-year-old woman with adenocarcinoma in right upper lobe. Arrows indicate intratumoral bubble-like lucency. PETRA = pointwise encoding time reduction with radial acquisition, VIBE = volumetric interpolated breath-hold examination

  • Fig. 3 Contrast-enhanced axial chest CT (A), PETRA (B), and radial VIBE (C) images from a 78-year-old man with squamous cell carcinoma in left lower lobe. In (A), the mass's interface (arrow) shows obliterated relationship with adjacent chest wall on CT. However, on MRI, the tumor interface with the pleura (arrows, B, C) is clear. This is well-recognized in (C) rather than (B). This mass underwent operation and was proven to have no parietal pleural invasion. PETRA = pointwise encoding time reduction with radial acquisition, VIBE = volumetric interpolated breath-hold examination

  • Fig. 4 Coronal reformatted images of contrast-enhanced chest CT (A), PETRA (B), and radial VIBE (C) images from a 65-year-old man with adenocarcinoma in right lower lobe base. An irregular nodule (arrow) with contact with the adjacent diaphragm is apparent in (A). However the nodule (arrows) is not apparent in (B, C). PETRA = pointwise encoding time reduction with radial acquisition, VIBE = volumetric interpolated breath-hold examination


Reference

1. Dournes G, Grodzki D, Macey J, Girodet PO, Fayon M, Chateil JF, et al. Quiet submillimeter MR imaging of the lung is feasible with a PETRA sequence at 1.5 T. Radiology. 2015; 276:258–226.
Article
2. Kurihara Y, Matsuoka S, Yamashiro T, Fujikawa A, Matsushita S, Yagihashi K, et al. MRI of pulmonary nodules. AJR Am J Roentgenol. 2014; 202:W210–W216.
Article
3. Stolzmann P, Veit-Haibach P, Chuck N, Rossi C, Frauenfelder T, Alkadhi H, et al. Detection rate, location, and size of pulmonary nodules in trimodality PET/CT-MR: comparison of low-dose CT and Dixon-based MR imaging. Invest Radiol. 2013; 48:241–246.
4. Grodzki DM, Jakob PM, Heismann B. Ultrashort echo time imaging using pointwise encoding time reduction with radial acquisition (PETRA). Magn Reson Med. 2012; 67:510–518.
Article
5. Johnson KM, Fain SB, Schiebler ML, Nagle S. Optimized 3D ultrashort echo time pulmonary MRI. Magn Reson Med. 2013; 70:1241–1250.
Article
6. Chandarana H, Heacock L, Rakheja R, DeMello LR, Bonavita J, Block TK, et al. Pulmonary nodules in patients with primary malignancy: comparison of hybrid PET/MR and PET/CT imaging. Radiology. 2013; 268:874–881.
Article
7. Chandarana H, Block TK, Rosenkrantz AB, Lim RP, Kim D, Mossa DJ, et al. Free-breathing radial 3D fat-suppressed T1-weighted gradient echo sequence: a viable alternative for contrast-enhanced liver imaging in patients unable to suspend respiration. Invest Radiol. 2011; 46:648–653.
8. Amin MB, Edge SB, Greene FL, Byrd DR, Brookland RK, Washington MK, et al. AJCC cancer staging manual. 8th ed. New York: Springer International Publishing;2017.
9. Liu Y, Wang H, Li Q, McGettigan MJ, Balagurunathan Y, Garcia AL, et al. Radiologic features of small pulmonary nodules and lung cancer risk in the national lung screening trial: a nested case-control study. Radiology. 2018; 286:298–306.
Article
10. Kuriyama K, Tateishi R, Doi O, Higashiyama M, Kodama K, Inoue E, et al. Prevalence of air bronchograms in small peripheral carcinomas of the lung on thin-section CT: comparison with benign tumors. AJR Am J Roentgenol. 1991; 156:921–924.
Article
11. Kundel HL, Polansky M. Measurement of observer agreement. Radiology. 2003; 228:303–308.
Article
12. Dournes G, Menut F, Macey J, Fayon M, Chateil JF, Salel M, et al. Lung morphology assessment of cystic fibrosis using MRI with ultra-short echo time at submillimeter spatial resolution. Eur Radiol. 2016; 26:3811–3820.
Article
13. Bannas P, Bell LC, Johnson KM, Schiebler ML, François CJ, Motosugi U, et al. Pulmonary embolism detection with three-dimensional ultrashort echo time MR imaging: experimental study in canines. Radiology. 2016; 278:413–421.
Article
14. Biederer J, Mirsadraee S, Beer M, Molinari F, Hintze C, Bauman G, et al. MRI of the lung (3/3)-current applications and future perspectives. Insights Imaging. 2012; 3:373–386.
Article
15. Purandare NC, Rangarajan V. Imaging of lung cancer: implications on staging and management. Indian J Radiol Imaging. 2015; 25:109–120.
Article
16. Gai ND, Malayeri A, Agarwal H, Evers R, Bluemke D. Evaluation of optimized breath-hold and free-breathing 3D ultrashort echo time contrast agent-free MRI of the human lung. J Magn Reson Imaging. 2016; 43:1230–1238.
Article
17. Landwehr P, Schulte O, Lackner K. MR imaging of the chest: mediastinum and chest wall. Eur Radiol. 1999; 9:1737–1744.
Article
18. Schwenzer NF, Seith F, Gatidis S, Brendle C, Schmidt H, Pfannenberg CA, et al. 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; 17:684–694.
Article
19. Semelka RC, Cem Balci N, Wilber KP, Fisher LL, Brown MA, Gomez-Caminero A, et al. Breath-hold 3D gradient-echo MR imaging of the lung parenchyma: evaluation of reproducibility of image quality in normals and preliminary observations in patients with disease. J Magn Reson Imaging. 2000; 11:195–200.
Article
Full Text Links
  • JKSR
Actions
Cited
CITED
export Copy
Close
Share
  • Twitter
  • Facebook
Similar articles
Copyright © 2024 by Korean Association of Medical Journal Editors. All rights reserved.     E-mail: koreamed@kamje.or.kr