Meta-analysis of diffusion-weighted MRI in the differential diagnosis of lung lesions

Journal of Magnetic Resonance Imaging

Volumn 37, Issue 6, 2013, Pages 1351-1358

  Chen, Lihua ^a,b   Zhang, Jiuquan ^a   Bao, Jing ^c   Zhang, Lin ^a   Hu, Xiaofei ^a   Xia, Yunbao ^b   Wang, Jian ^a  

^a THIRD MILITARY MEDICAL UNIVERSITY   (China)

^b Taihu Hospital   (China)

^c NANTONG MEDICAL COLLEGE   (China)

Author keywords

diffusion weighted imaging; lung cancer; meta analysis

Indexed keywords

ARTICLE; DIAGNOSTIC ACCURACY; DIAGNOSTIC VALUE; DIFFERENTIAL DIAGNOSIS; DIFFUSION WEIGHTED IMAGING; HUMAN; LUNG LESION; META ANALYSIS; PREDICTIVE VALUE; PRIORITY JOURNAL; QUALITY CONTROL; RECEIVER OPERATING CHARACTERISTIC; SENSITIVITY AND SPECIFICITY;

BIAS (EPIDEMIOLOGY); DIFFUSION MAGNETIC RESONANCE IMAGING; EVIDENCE-BASED MEDICINE; HUMANS; LUNG NEOPLASMS; PREVALENCE; REPRODUCIBILITY OF RESULTS; RISK FACTORS; SENSITIVITY AND SPECIFICITY;

EID: 84878263406     PISSN: 10531807     EISSN: 15222586     Source Type: Journal    
DOI: 10.1002/jmri.23939     Document Type: Article

References (38)

1. Padhani AR, Miles KA,. Multiparametric imaging of tumor response to therapy. Radiology 2010; 256: 348-364.
2. Hanahan D, Weinberg RA,. Hallmarks of cancer: the next generation. Cell 2011; 144: 646-674.
3. Zweifel M, Patterson DM, Padhani AR, et al. Phase I pharmacokinetic and pharmacodynamic evaluation of the vascular disrupting agent OXi4503 in patients with advanced solid tumors. J Clin Oncol 2010; 28: 15-21.
4. Koh DM, Collins DJ,. Diffusion-weighted MRI in the body: applications and challenges in oncology. AJR Am J Roentgenol 2007; 188: 1622-1635.
5. Gauvain KM, McKinstry RC, Mukherjee P, et al. Evaluating pediatric brain tumor cellularity with diffusion-tensor imaging. AJR Am J Roentgenol 2001; 177: 449-454.
6. Henzler T, Schmid-Bindert G, Schoenberg SO, Fink C,. Diffusion and perfusion MRI of the lung and mediastinum. Eur J Radiol 2010; 76: 329-336.
7. Lee RF, Johnson G, Grossman RI, Stoeckel B, Trampel R, McGuinness G,. Advantages of parallel imaging in conjunction with hyperpolarized helium- A new approach to MRI of the lung. Magn Reson Med 2006; 55: 1132-1141.
8. Liu H, Liu Y, Yu T, Ye N,. Usefulness of diffusion-weighted MR imaging in the evaluation of pulmonary lesions. Eur Radiol 2010; 20: 807-815.
9. Wu HW, Cheng JJ, Xu JR, Lu Q, Ge X, Li L,. The preliminary study of MR diffusion weighted imaging with background body signal suppression on pulmonary diseases. Chin J Radiol 2008; 42: 56-59.
10. Hasegawa I, Boiselle PM, Kuwabara K, Sawafuji M, Sugiura H,. Mediastinal lymph nodes in patients with non-small cell lung cancer: preliminary experience with diffusion-weighted MR imaging. J Thorac Imaging 2008; 23: 157-161.
11. 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: 1-8.
12. Ohba Y, Nomori H, Mori T, et al. 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 2009; 138: 439-445.
13. Mori T, Nomori H, Ikeda K, et al. Diffusion-weighted magnetic resonance imaging for diagnosing malignant pulmonary nodules/masses: comparison with positron emission tomography. J Thorac Oncol 2008; 3: 358-364.
14. Uto T, Takehara Y, Nakamura Y, et al. Higher sensitivity and specificity for diffusion-weighted imaging of malignant lung lesions without apparent diffusion coefficient quantification. Radiology 2009; 252: 247-254.
15. Usuda K, Zhao XT, Sagawa M, et al. Diffusion-weighted imaging is superior to positron emission tomography in the detection and nodal assessment of lung cancers. Ann Thorac Surg 2011; 91: 1689-1695.
16. Satoh S, Kitazume Y, Ohdama S, Kimula Y, Taura S, Endo Y,. Can malignant and benign pulmonary nodules be differentiated with diffusion-weighted MRI? AJR Am J Roentgenol 2008; 191: 464-470.
17. Ohba Y, Nomori H, Mori T, Shiraishi K, Namimoto T, Katahira K,. Diffusion-weighted magnetic resonance for pulmonary nodules: 1.5 vs. 3 Tesla. Asian Cardiovasc Thorac Ann 2011; 19: 108-114.
18. Regier M, Schwarz D, Henes FO, et al. Diffusion-weighted MR-imaging for the detection of pulmonary nodules at 1.5 Tesla: intraindividual comparison with multidetector computed tomography. J Med Imaging Radiat Oncol 2011; 55: 266-274.
19. Chen AP, Li HM, Liu SY, Xiao XS, Yu H, Li F,. Differentiation of malignant and benign pulmonary lesions. Zhong Guo Yi Xue Ji Suan Ji Cheng Xiang Za Zhi 2010; 16: 206-210.
20. Whiting P, Rutjes AW, Reitsma JB, Bossuyt PM, Kleijnen J,. 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.
21. Whiting PF, Weswood ME, Rutjes AW, Reitsma JB, Bossuyt PN, Kleijnen J,. Evaluation of QUADAS, a tool for the quality assessment of diagnostic accuracy studies. BMC Med Res Methodol 2006; 6: 9.
22. Leeflang MM, Deeks JJ, Gatsonis C, Bossuyt PM,. Systematic reviews of diagnostic test accuracy. Ann Intern Med 2008; 149: 889-897.
23. Zamora J, Abraira V, Muriel A, Khan K, Coomarasamy A,. Meta-DiSc: a software for meta-analysis of test accuracy data. BMC Med Res Methodol 2006; 6: 31.
24. Higgins JP, Thompson SG, Deeks JJ, Altman DG,. Measuring inconsistency in meta-analyses. BMJ 2003; 327: 557-560.
25. Moses LE, Shapiro D, Littenberg B,. Combining independent studies of a diagnostic test into a summary ROC curve: data-analytic approaches and some additional considerations. Stat Med 1993; 12: 1293-1316.
26. Reitsma JB, Glas AS, Rutjes AW, Scholten RJ, Bossuyt PM, Zwinderman AH,. Bivariate analysis of sensitivity and specificity produces informative summary measures in diagnostic reviews. J Clin Epidemiol 2005; 58: 982-990.
27. Deeks JJ, Macaskill P, Irwig L,. The performance of tests of publication bias and other sample size effects in systematic reviews of diagnostic test accuracy was assessed. J Clin Epidemiol 2005; 58: 882-893.
28. Razek AAKA, Fathy A, Gawad TA,. Correlation of apparent diffusion coefficient value with prognostic parameters of lung cancer. J Comput Assist Tomogr 2011; 35: 248-252.
29. Kosucu P, Tekinbas C, Erol M, et al. Mediastinal lymph nodes: assessment with diffusion-weighted MR imaging. J Magn Reson Imaging 2009; 30: 292-297.
30. Baysal T, Mutlu DY, Yologlu S,. Diffusion-weighted magnetic resonance imaging in differentiation of postobstructive consolidation from central lung carcinoma. Magn Reson Imaging 2009; 27: 1447-1454.
31. Li Z, Zhang T, Xu B, et al. Usefulness of DWI in the evaluation of pulmonary isolated lesions. Chin-Ger J Clin Oncol 2010; 9: 388-390.
32. Cronin P, Dwamena BA, Kelly AM, Carlos RC,. Solitary pulmonary nodules: meta-analytic comparison of cross-sectional imaging modalities for diagnosis of malignancy. Radiology 2008; 246: 772-782.
33. Glas AS, Lijmer JG, Prins MH, Bonsel GJ, Bossuyt PM,. The diagnostic odds ratio: a single indicator of test performance. J Clin Epidemiol 2003; 56: 1129-1135.
34. McGee S,. Simplifying likelihood ratios. J Gen Intern Med 2002; 17: 646-649.
35. Cronin P, Dwamena BA, Kelly AM, Bernstein SJ, Carlos RC,. Solitary pulmonary nodules and masses: a meta-analysis of the diagnostic utility of alternative imaging tests. Eur Radiol 2008; 18: 1840-1856.
36. Pauls S, Schmidt SA, Juchems MS, et al. Diffusion-weighted MR imaging in comparison to integrated [(18)F]-FDG PET/CT for N-staging in patients with lung cancer. Eur J Radiol 2010; 81: 178-182.
37. Razek AAKA, Elkammary S, Elmorsy AS, Elshafey M, Elhadedy T,. Characterization of mediastinal lymphadenopathy with diffusion-weighted imaging. Magn Reson Imaging 2011; 29: 167-172.
38. McAuley L, Ba'Pham, Tugwell P, Moher D,. Does the inclusion of grey literature influence estimates of intervention effectiveness reported in meta-analyses? Lancet 2000; 356: 1228-1231.