Asian Pacific Journal of Cancer Prevention

Asian Pacific Journal of Cancer Prevention (아시아태평양암예방학회)
권호 표지
DOI QR코드

DOI QR Code

Recurrence and Metastasis of Lung Cancer Demonstrate Decreased Diffusion on Diffusion-Weighted Magnetic Resonance Imaging

  • Usuda, Katsuo (Department of Thoracic Surgery, Kanazawa Medical University) ;
  • Sagawa, Motoyasu (Department of Thoracic Surgery, Kanazawa Medical University) ;
  • Motomo, Nozomu (Department of Thoracic Surgery, Kanazawa Medical University) ;
  • Ueno, Masakatsu (Department of Thoracic Surgery, Kanazawa Medical University) ;
  • Tanaka, Makoto (Department of Thoracic Surgery, Kanazawa Medical University) ;
  • Machida, Yuichiro (Department of Thoracic Surgery, Kanazawa Medical University) ;
  • Maeda, Sumiko (Department of Thoracic Surgery, Kanazawa Medical University) ;
  • Matoba, Munetaka (Department of Radiology, Kanazawa Medical University) ;
  • Tonami, Hisao (Department of Radiology, Kanazawa Medical University) ;
  • Ueda, Yoshimichi (Department of Pathophysiological and Experimental Pathology, Kanazawa Medical University) ;
  • Sakuma, Tsutomu (Department of Thoracic Surgery, Kanazawa Medical University)
  • Published : 2014.08.30
Download PDF
⟨ Previous Next ⟩

Abstract

Background: Diffusion-weighted magnetic resonance imaging (DWI) is reported to be useful for detecting malignant lesions. The purpose of this study is to clarify characteristics of imaging, detection rate and sensitivity of DWI for recurrence or metastasis of lung cancer. Methods: A total of 36 lung cancer patients with recurrence or metastasis were enrolled in this study. While 16 patients underwent magnetic resonance imaging (MRI), computed tomography (CT) and positron emission tomography-computed tomography (PET-CT), 17 underwent MRI and CT, and 3 underwent MRI and PET-CT. Results: Each recurrence or metastasis showed decreased diffusion, which was easily recognized in DWI. The detection rate for recurrence or metastasis was 100% (36/36) in DWI, 89% (17/19) in PET-CT and 82% (27/33) in CT. Detection rate of DWI was significantly higher than that of CT (p=0.0244) but not significantly higher than that of PET-CT (p=0.22). When the optimal cutoff value of the apparent diffusion coefficient value was set as $1.70{\times}10^{-3}mm^2/sec$, the sensitivity of DWI for diagnosing recurrence or metastasis of lung cancer was 95.6%. Conclusions: DWI is useful for detection of recurrence and metastasis of lung cancer.

Keywords

References

  1. Blyth S, Blakeborough A, Peterson M, Cameron IC, Majeed AW (2008). Sensitivity of magnetic resonance imaging in the detection of colorectal liver metastases. Ann R Coll Surg Engl, 90, 25-8. https://doi.org/10.1308/003588408X242303
  2. Ceylan K, Taken K, Gecit I, et al (2010). Comparison of cystoscopy with diffusion-weighted magnetic resonance images used in the diagnosis and follow-up of patients with bladder tumors. Asian Pac J Cancer Prev, 11, 1001-4.
  3. Fornasa F, Pinali L, Gasparini A, Toniolli E, Montemezzi S (2011). Diffusion-weighted magnetic resonance imaging in focal breast lesions. Analysis of 78 cases with pathological correlation. Radiol med, 116, 264-75. https://doi.org/10.1007/s11547-010-0602-4
  4. Ghanem N, Uhl M, Brink I, et al (2005). Diagnostic value of MRI in comparison to scintigraphy, PET, MS-CT and PET/CT for the detection of metastases of bone. Eur J Radiol, 55, 41-55. https://doi.org/10.1016/j.ejrad.2005.01.016
  5. Koike N, Cho A, Nasu K, et al (2009). Role of diffusion-weighted magnetic resonance imaging in the differential diagnosis of focal hepatic lesions. World J gastroenterol, 15, 5805-12. https://doi.org/10.3748/wjg.15.5805
  6. Le Bihan D, Breton E, Lallemand D, et al (1988). Separation of diffusion and perfusion in intravoxel incoherent motion MR imaging. Radiology, 168, 497-505. https://doi.org/10.1148/radiology.168.2.3393671
  7. Mori T, Nomori H, Ikeda K, et al (2008). Diffusion-weighted magnetic resonance imaging for diagnosing malignant pulmonary nodules/masses. Comparison with positron emission tomography. J Thoracic Oncol, 3, 358-64. https://doi.org/10.1097/JTO.0b013e318168d9ed
  8. Naiki T, Okamura T, Nagata D, et al (2011). Preoperative prediction of neurovascular bundle involvement of localized prostate cancer by combined T2 and diffusion-weighted imaging of magnetic resonance imaging, number of positive biopsy cores and Gleason score. Asian Pac J Cancer Prev, 12, 909-13.
  9. Ohba Y, Nomori H, Mori T, et al (2009). Is diffusion-weighted magnetic resonance imaging superior to positron emission tomography with fludeoxyglucose F 18 in imaging non-small cell lung cancer? J Thorac Cardiovasc Surg, 138, 439-45. https://doi.org/10.1016/j.jtcvs.2008.12.026
  10. Rakheja R, Chandarana H, DeMello L, et al (2013). Correlation between standardized uptake value and apparent diffusion coefficient of neoplastic lesions evaluated with whole-body simultaneous hybrid PET/MRI. Am J Roentgenol, 201, 1115-9. https://doi.org/10.2214/AJR.13.11304
  11. Sorensen AG, Buonanno FS, Gonzalez RG, et al (1996). Hyperacute stroke. Evaluation with combined multisection diffusion-weighted and hemodynamically weighted echoplanar MR imaging. Radiology, 199, 391-401. https://doi.org/10.1148/radiology.199.2.8668784
  12. Szafer A, Zhong J, Gore JC (1995). Theoretical model for water diffusion in tissues. Magn Reson Med, 33, 697-712. https://doi.org/10.1002/mrm.1910330516
  13. Takahara T, Imai Y, Yamashita T, (2004). Diffusion weighted whole body imaging with background body signal suppression (DWIBS). Technical improvement using free breathing, STIR and high resolution 3D display. Radiat Med, 22, 275-82.
  14. Takenaka D, Ohno Y, Matsumoto K, et al (2009). Detection of bone metastases in non-small cell lung cancer patients: comparison of whole-body diffusion-weighted imaging (DWI), whole-body MR imaging without and with DWI, whole-body FDG-PET/CT, and bone scintigraphy. J Magn Reson Imaging, 30, 298-308. https://doi.org/10.1002/jmri.21858
  15. Tien RD, Felsberg GJ, Friedman H, Brown M, MacFall J (1994). MR imaging of high-grade cerebral gliomas. Value of diffusion-weighted echoplanar pluse sequences. AJR. 162, 671-7. https://doi.org/10.2214/ajr.162.3.8109520
  16. Tondo F, Saponaro A, Stecco A, et al (2011). Role of diffusionweighted imaging in the differential diagnosis of benign and malignant lesions of the chest-mediastinum. Radiol Med, 116, 720-33. https://doi.org/10.1007/s11547-011-0629-1
  17. Usuda K, Zhao XT, Sagawa M, et al (2011). Diffusion-weighted imaging is superior to PET in the detection and nodal assessment of lung cancers. Ann Thorac Surg, 91, 1689-95. https://doi.org/10.1016/j.athoracsur.2011.02.037
  18. Usuda K, Sagawa M, Motono N, et al (2013). Advantages of diffusion-weighted imaging over positron emission tomography-computed tomography in assessment of hilar and mediastinal lymph node in lung cancer. Ann Surg Oncol, 20, 1676-83. https://doi.org/10.1245/s10434-012-2799-z
  19. Usuda K, Zhao XT, Sagawa M, et al (2013). Diffusion-weighted imaging (DWI) signal intensity and distribution represent the amount of cancer cells and their distribution in primary lung cancer. Clinical Imaging, 37, 265-72. https://doi.org/10.1016/j.clinimag.2012.04.026
  20. Usuda K, Sagawa M, Motomo N, et al (2014). Diagnostic performance of diffusion weighted imaging of malignant and benign pulmonary nodules and masses. Comparison with positron emission tomography. Asian Pac J Cancer Prev, 15, 4629-35. https://doi.org/10.7314/APJCP.2014.15.11.4629
  21. Yamamura J, Salomon G, Buchert R, et al (2011). Magnetic resonance imaging of prostate cancer. Diffusion-weighted imaging in comparison with sextant biopsy. J Comput Assist Tomog, 35, 223-8. https://doi.org/10.1097/RCT.0b013e3181fc5409

Cited by

  1. Diagnostic Significance of Apparent Diffusion Coefficient Values with Diffusion Weighted MRI in Breast Cancer: a Meta-Analysis vol.15, pp.19, 2014, https://doi.org/10.7314/APJCP.2014.15.19.8271