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Diagnostic power of diffusion-weighted magnetic resonance imaging for the presence of lymph node metastasis: A meta-analysis

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Summary

Present work was designed to quantitatively evaluate the performance of diffusion-weighted magnetic resonance imaging (DWI) in the diagnosis of the presence of metastasis in lymph nodes (LNs). Eligible studies were identified from systematical PubMed and EMBASE searches. Data were extracted. Meta-analyses were performed to generate pooled sensitivity and specificity on the basis of per-node, per-lesion and per-patient, respectively. Fourteen publications (2458 LNs, 404 lesions and 334 patients) were eligible. Per-node basis demonstrated the pooled sensitivity and specificity was 0.82 (P<0.0001) and 0.90 (P<0.0001), respectively. Per-lesion basis illustrated the pooled sensitivity and specificity was 0.73 (P=0.0036) and 0.85 (P<0.0001), respectively. Per-patient basis indicated the pooled sensitivity and specificity was 0.67 (P=0.0909) and 0.86 (P<0.0001), respectively. In conclusion, DWI has rather a negative predictive value for the diagnosis of LN metastasis presence. The difference of the mean apparent diffusion coefficients between benign and malignant LNs is not yet stable. Therefore, the DWI technique has to be further improved.

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References

  1. Torabi M, Aquino SL, Harisinghani MG. Current concepts in lymph node imaging. J Nucl Med, 2004,45(9):1509–1518

    PubMed  Google Scholar 

  2. Bellomi M, Bonomo G, Landoni F, et al. Accuracy of computed tomography and magnetic resonance imaging in the detection of lymph node involvement in cervix carcinoma. Eur Radiol, 2005,15(12):2469–2474

    Article  PubMed  Google Scholar 

  3. Motohara T, Semelka RC. MRI in staging of gastric cancer. Abdom Imaging, 2002,27(4):376–383

    Article  CAS  PubMed  Google Scholar 

  4. Baghi M, Mack MG, Hambek M, et al. The efficacy of MRI with ultrasmall superparamagnetic iron oxide particles (USPIO) in head and neck cancers. Anticancer Res, 2005,25(5):3665–3670

    PubMed  Google Scholar 

  5. Demirhan A, Yasar Tekelioglu U, Akkaya A, et al. Magnetic resonance imaging contrast agent related pulmonary edema: a case report. Eur Rev Med Pharmacol Sci, 2012,16 (Suppl 4):110–112

    PubMed  Google Scholar 

  6. Hao D, Ai T, Goerner F, Hu X, et al. MRI contrast agents: basic chemistry and safety. J Magn Reson Imaging, 2012,36(5):1060–1071

    Article  PubMed  Google Scholar 

  7. Koh DM, Collins DJ. Diffusion-weighted MRI in the body: applications and challenges in oncology. AJR Am J Roentgenol, 2007,188(6):1622–1635

    Article  PubMed  Google Scholar 

  8. Cheng J, Wang Y, Deng J, et al. Discrimination of metastatic lymph nodes in patients with gastric carcinoma using diffusion-weighted imaging. J Magn Reson Imaging, 2013,37(6):1436–1444

    Article  PubMed  Google Scholar 

  9. Fornasa F, Nesoti MV, Bovo C, et al. Diffusion-weighted magnetic resonance imaging in the characterization of axillary lymph nodes in patients with breast cancer. J Magn Reson Imaging, 2012,36(4):858–864

    Article  PubMed  Google Scholar 

  10. Luo N, Su D, Jin G, et al. Apparent diffusion coefficient ratio between axillary lymph node with primary tumor to detect nodal metastasis in breast cancer patients. J Magn Reson Imaging, 2013,38(4):824–828

    Article  PubMed  Google Scholar 

  11. Mizukami Y, Ueda S, Mizumoto A, et al. Diffusion-weighted magnetic resonance imaging for detecting lymph node metastasis of rectal cancer. World J Surg, 2011,35(4):895–899

    Article  PubMed  Google Scholar 

  12. Budiharto T, Joniau S, Lerut E, et al. Prospective evaluation of 11C-choline positron emission tomography/computed tomography and diffusion-weighted magnetic resonance imaging for the nodal staging of prostate cancer with a high risk of lymph node metastases. Eur Urol, 2011,60(1):125–130

    Article  PubMed  Google Scholar 

  13. Kitajima K, Yamasaki E, Kaji Y, et al. Comparison of DWI and PET/CT in evaluation of lymph node metastasis in uterine cancer. World J Radiol, 2012,4(5):207–214

    Article  PubMed  PubMed Central  Google Scholar 

  14. Nakai G, Matsuki M, Inada Y, et al. Detection and evaluation of pelvic lymph nodes in patients with gynecologic malignancies using body diffusion-weighted magnetic resonance imaging. J Comput Assist Tomogr, 2008,32(5):764–768

    Article  PubMed  Google Scholar 

  15. Sakurada A, Takahara T, Kwee TC, et al. Diagnostic performance of diffusion-weighted magnetic resonance imaging in esophageal cancer. Eur Radiol, 2009,19(6):1461–1469

    Article  PubMed  Google Scholar 

  16. Vandecaveye V, de Keyzer F, Vander Poorten V, et al. Head and neck squamous cell carcinoma: value of diffusion-weighted MR imaging for nodal staging. Radiology, 2009,251(1):134–146

    Article  PubMed  Google Scholar 

  17. Nakayama J, Miyasaka K, Omatsu T, et al. Metastases in mediastinal and hilar lymph nodes in patients with non-small cell lung cancer: quantitative assessment with diffusion-weighted magnetic resonance imaging and apparent diffusion coefficient. J Comput Assist Tomogr, 2010,34(1):1–8

    Article  PubMed  Google Scholar 

  18. Sommer G, Wiese M, Winter L, et al. Preoperative staging of non-small-cell lung cancer: comparison of whole-body diffusion-weighted magnetic resonance imaging and 18F-fluorodeoxyglucose-positron emission tomography/computed tomography. Eur Radiol, 2012,22(12):2859–2867

    Article  PubMed  Google Scholar 

  19. Usuda K, Sagawa M, Motono N, et al. 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, 2013,20(5):1676–1683

    Article  PubMed  Google Scholar 

  20. Whiting P, Rutjes AW, Reitsma JB, et al. The development of QUADAS: a tool for the quality assessment of studies of diagnostic accuracy included in systematic reviews. BMC Med Res Methodol, 2003,3:25

    Article  PubMed  PubMed Central  Google Scholar 

  21. Harbord RM, Egger M, Sterne JA. A modified test for small-study effects in meta-analyses of controlled trials with binary endpoints. Stat Med, 2006,25(20):3443–3457

    Article  PubMed  Google Scholar 

  22. Hasegawa I, Boiselle PM, Kuwabara K, et al. Mediastinal lymph nodes in patients with non-small cell lung cancer: preliminary experience with diffusion-weighted MR imaging. J Thorac Imaging, 2008,23(3):157–161

    Article  PubMed  Google Scholar 

  23. Lin G, Ho KC, Wang JJ, et al. Detection of lymph node metastasis in cervical and uterine cancers by diffusion-weighted magnetic resonance imaging at 3T. J Magn Reson Imaging, 2008,28(1):128–135

    Article  PubMed  Google Scholar 

  24. Xue HD, Li S, Sun F, et al. Clinical application of body diffusion weighted MR imaging in the diagnosis and preoperative N staging of cervical cancer. Chin Med Sci J, 2008,23(3):133–137

    Article  PubMed  Google Scholar 

  25. Dirix P, Vandecaveye V, de Keyzer F, et al. Diffusionweighted MRI for nodal staging of head and neck squamous cell carcinoma: impact on radiotherapy planning. Int J Radiat Oncol Biol Phys, 2010,76(3):761–766

    Article  PubMed  Google Scholar 

  26. Chen YB, Liao J, Xie R, et al. Discrimination of metastatic from hyperplastic pelvic lymph nodes in patients with cervical cancer by diffusion-weighted magnetic resonance imaging. Abdom Imaging, 2011,36(1):102–109

    Article  PubMed  Google Scholar 

  27. Liu Y, Liu H, Bai X, et al. Differentiation of metastatic from non-metastatic lymph nodes in patients with uterine cervical cancer using diffusion-weighted imaging. Gynecol Oncol, 2011,122(1):19–24

    Article  PubMed  Google Scholar 

  28. Nomori H, Mori T, Ikeda K, et al. Diffusion-weighted magnetic resonance imaging can be used in place of positron emission tomography for N staging of non-small cell lung cancer with fewer false-positive results. J Thorac Cardiovasc Surg, 2008,135(4):816–822

    Article  PubMed  Google Scholar 

  29. Holzapfel K, Duetsch S, Fauser C, et al. Value of diffusion-weighted MR imaging in the differentiation between benign and malignant cervical lymph nodes. Eur J Radiol, 2009,72(3):381–387

    Article  PubMed  Google Scholar 

  30. DeLano MC, Cooper TG, Siebert JE, et al. High-b-value diffusion-weighted MR imaging of adult brain: image contrast and apparent diffusion coefficient map features. AJNR Am J Neuroradiol, 2000,21(10):1830–1836

    CAS  PubMed  Google Scholar 

  31. Park SO, Kim JK, Kim KA, et al. Relative apparent diffusion coefficient: determination of reference site and validation of benefit for detecting metastatic lymph nodes in uterine cervical cancer. J Magn Reson Imaging, 2009,29(2):383–390

    Article  PubMed  Google Scholar 

  32. Padhani AR, Liu G, Koh DM, et al. Diffusion-weighted magnetic resonance imaging as a cancer biomarker: consensus and recommendations. Neoplasia, 2009,11(2):102–125

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  33. Wu LM, Xu JR, Hua J, et al. Value of diffusion-weighted MR imaging performed with quantitative apparent diffusion coefficient values for cervical lymphadenopathy. J Magn Reson Imaging, 2013,38(3):663–670

    Article  PubMed  Google Scholar 

  34. Figueiras RG, Padhani AR, Goh VJ, et al. Novel oncologic drugs: what they do and how they affect images. Radiographics, 2011,31(7):2059–2091

    Article  PubMed  Google Scholar 

  35. Yiping L, Ji X, Daoying G, et al. Prediction of the consistency of pituitary adenoma: A comparative study on diffusion-weighted imaging and pathological results. J Neuroradiol, 2016,43(3):186–194

    Article  PubMed  Google Scholar 

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Acknowledgments

All authors would like to thank Dr. Luc Koster (Siegfried Weller Institut, BG Trauma Center Tübingen, Eberhard- Karls-University Tübingen, Germany) for editing the manuscript.

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Correspondence to Xiang-chuang Kong  (孔祥闯) or Xiang-quan Kong  (孔祥泉).

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Kong, Xc., Xiong, Ly., Gazyakan, E. et al. Diagnostic power of diffusion-weighted magnetic resonance imaging for the presence of lymph node metastasis: A meta-analysis. J. Huazhong Univ. Sci. Technol. [Med. Sci.] 37, 469–474 (2017). https://doi.org/10.1007/s11596-017-1759-z

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  • DOI: https://doi.org/10.1007/s11596-017-1759-z

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