Abstract
Purpose
This study aims to quantitatively evaluate the potential of diffusion-weighted magnetic resonance imaging (DW-MRI) for differentiating malignant and benign human renal lesions.
Materials and methods
A systematic literature was performed to identify previous research related to the diagnostic performance of DW-MRI for determining whether human renal lesions were benign or malignant. ADC values were extracted from normal renal tissue and different lesion types. Data were extracted to assess the diagnostic performance of DW-MRI for differentiating malignant and benign human renal lesions, as well as running threshold effect and heterogeneity.
Results
Nine publications with 11 subsets were eligible for data extraction and diagnostic performance calculation. A total of 988 apparent diffusion coefficient (ADC) measurements were included. The differences in ADC values between benign lesions (2.47 ± 0.81 × 10−3 mm2/s) and malignant lesions (1.81 ± 0.41 × 10−3 mm2/s) were statistically significant (P < 0.001). The diagnostic odds ratio, the overall positive, negative likelihood ratios, pooled weighted sensitivity and specificity with 95% CI were 20.05 (95% CI 12.56–32.02), 3.32 (95% CI 2.13–5.18), 0.20 (95% CI 0.15–0.27), 88% (95% CI 0.84–0.91) and 72% (95% CI 0.67–0.76), respectively. The area under the curve of the summary receiver operating characteristic was 0.90.
Conclusions
This meta-analysis indicated that DW-MRI had a relatively good diagnostic accuracy in differentiating malignant and benign human renal lesions. We preliminarily recommend that DW-MRI is performed with a maximum b value ranging from 800 to 1000 s/mm2 at 3.0 T for imaging protocol, and that DW-MRI should be used with caution when the study population includes children.
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References
Goyal A, Sharma R, Bhalla AS, Gamanagatti S, Seth A (2013) Diffusion-weighted MRI in inflammatory renal lesions: all that glitters is not RCC!. Eur Radiol 23(1):272–279
Agnello F, Roy C, Bazille G, et al. (2013) Small solid renal masses: characterization by diffusion-weighted MRI at 3 T. Clin Radiol 68(6):e301–e308
Mehran R, Nikolsky E (2006) Contrast-induced nephropathy: definition, epidemiology, and patients at risk. Kidney Int Suppl 100:S11–S15
Sadowski EA, Bennett LK, Chan MR, et al. (2007) Nephrogenic systemic fibrosis: risk factors and incidence estimation. Radiology 243(1):148–157
Goyal A, Sharma R, Bhalla AS, et al. (2012) Diffusion-weighted MRI in renal cell carcinoma: a surrogate marker for predicting nuclear grade and histological subtype. Acta Radiol 53(3):349–358
Jacobs MA, Pan L, Macura KJ (2009) Whole-body diffusion-weighted and proton imaging: a review of this emerging technology for monitoring metastatic cancer. Semin Roentgenol 44(2):111–122
Wu LM, Xu JR, Ye YQ, Lu Q, Hu JN (2012) The clinical value of diffusion-weighted imaging in combination with T2-weighted imaging in diagnosing prostate carcinoma: a systematic review and meta-analysis. AJR Am J Roentgenol 199(1):103–110
Wang H, Cheng L, Zhang X, et al. (2010) Renal cell carcinoma: diffusion-weighted MR imaging for subtype differentiation at 3.0 T. Radiology 257(1):135–143
Lassel EA, Rao R, Schwenke C, Schoenberg SO, Michaely HJ (2014) Diffusion-weighted imaging of focal renal lesions: a meta-analysis. Eur Radiol 24(1):241–249
Wang QB, Zhu H, Liu HL, Zhang B (2012) Performance of magnetic resonance elastography and diffusion-weighted imaging for the staging of hepatic fibrosis: a meta-analysis. Hepatology 56(1):239–247
Jin G, Su DK, Luo NB, et al. (2013) Meta-analysis of diffusion-weighted magnetic resonance imaging in detecting prostate cancer. J Comput Assist Tomogr 37(2):195–202
Deville WL, Buntinx F, Bouter LM, et al. (2002) Conducting systematic reviews of diagnostic studies: didactic guidelines. BMC Med Res Methodol 2:9
Zamora J, Abraira V, Muriel A, Khan K, Coomarasamy A (2006) Meta-DiSc: a software for meta-analysis of test accuracy data. BMC Med Res Methodol 6:31
Tang Y, Zhou Y, Du W, et al. (2014) Standard b-value versus low b-value diffusion-weighted MRI in renal cell carcinoma: a systematic review and meta-analysis. BMC Cancer 14:843
Higgins JP, Thompson SG (2002) Quantifying heterogeneity in a meta-analysis. Stat Med 21:1539–1558
Vamvakas EC (1998) Meta-analyses of studies of the diagnostic accuracy of laboratory tests: a review of the concepts and methods. Arch Pathol Lab Med 122(8):675–686
Dinnes J, Deeks J, Kirby J, Roderick P (2005) A methodological review of how heterogeneity has been examined in systematic reviews of diagnostic test accuracy. Health Technol Assess 9(12):1–113
Deeks JJ, Macaskill P, Irwig L (2005) The performance of tests of publication bias and other sample size effects in systematic reviews of diagnostic test accuracy was assessed. J Clin Epidemiol 58(9):882–893
Song F, Khan KS, Dinnes J, Sutton AJ (2002) Asymmetric funnel plots and publication bias in meta-analyses of diagnostic accuracy. Int J Epidemiol 31(1):88–95
Doganay S, Kocakoc E, Cicekci M, et al. (2011) Ability and utility of diffusion-weighted MRI with different b values in the evaluation of benign and malignant renal lesions. Clin Radiol 66(5):420–425
Erbay G, Koc Z, Karadeli E, et al. (2012) Evaluation of malignant and benign renal lesions using diffusion-weighted MRI with multiple b values. Acta Radiol 53(3):359–365
Kim S, Jain M, Harris AB, et al. (2009) T1 hyperintense renal lesions: characterization with diffusion-weighted MR imaging versus contrast-enhanced MR imaging. Radiology 251(3):796–807
Razek A, Farouk A, Mousa A, Nabil N (2011) Role of diffusion-weighted magnetic resonance imaging in characterization of renal tumors. J Comput Assist Tomogr 35(3):332–336
Rheinheimer S, Stieltjes B, Schneider F, et al. (2012) Investigation of renal lesions by diffusion-weighted magnetic resonance imaging applying intravoxel incoherent motion-derived parameters–initial experience. Eur J Radiol 81(3):e310–e316
Sandrasegaran K, Sundaram CP, Ramaswamy R, et al. (2010) Usefulness of diffusion-weighted imaging in the evaluation of renal masses. AJR Am J Roentgenol 194(2):438–445
Taouli B, Thakur RK, Mannelli L, et al. (2009) Renal lesions: characterization with diffusion-weighted imaging versus contrast-enhanced MR imaging. Radiology 251(2):398–407
Zhang YL, Yu BL, Ren J, et al. (2013) EADC values in diagnosis of renal lesions by 3.0 T diffusion-weighted magnetic resonance imaging: compared with the ADC values. Appl Magn Reson 44(3):349–363
Yano C, Iwata M, Uchiyama S (2011) Risk factors for small cortical infarction on diffusion-weighted magnetic resonance imaging in patients with acute ischemic stroke. J Stroke Cerebrovasc Dis 20(1):68–74
Jie C, Rongbo L, Ping T (2014) The value of diffusion-weighted imaging in the detection of prostate cancer: a meta-analysis. Eur Radiol 24(8):1929–1941
Khuroo MS, Khuroo NS, Khuroo MS (2014) Accuracy of rapid point-of-care diagnostic tests for hepatitis B surface antigen—a systematic review and meta-analysis. J Clin Exp Hepatol 4(3):226–240
Mutsaerts HJ, van Osch MJ, Zelaya FO, et al. (2015) Multi-vendor reliability of arterial spin labeling perfusion MRI using a near-identical sequence: implications for multi-center studies. Neuroimage 113:143–152
Chen JH, Chan S, Liu YJ, et al. (2012) Consistency of breast density measured from the same women in four different MR scanners. Med Phys 39(8):4886–4895
Reig S, Sanchez-Gonzalez J, Arango C, et al. (2009) Assessment of the increase in variability when combining volumetric data from different scanners. Hum Brain Mapp 30(2):355–368
Lagemaat MW, Scheenen TW (2014) Role of high-field MR in studies of localized prostate cancer. NMR Biomed 27(1):67–79
Saremi F, Knoll AN, Bendavid OJ, Schultze-Haakh H, et al. (2009) Characterization of genitourinary lesions with diffusion-weighted imaging. Radiographics 29(5):1295–1317
Koh DM, Takahara T, Imai Y, Collins DJ (2007) Practical aspects of assessing tumors using clinical diffusion-weighted imaging in the body. Magn Reson Med Sci 6(4):211–224
Lohi O, Jahnukainen K, Huttunen P, et al. (2014) Solid tumors in children. Duodecim 130(20):2050–2059
Malkan AD, Loh A, Bahrami A, et al. (2015) An approach to renal masses in pediatrics. Pediatrics 135(1):142–158
Sevcenco S, Heinz-Peer G, Ponhold L, et al. (2014) Utility and limitations of 3-Tesla diffusion-weighted magnetic resonance imaging for differentiation of renal tumors. Eur J Radiol 83(6):909–913
Tanaka H, Yoshida S, Fujii Y, et al. (2011) Diffusion-weighted magnetic resonance imaging in differentiation of angiomyolipoma with minimal fat from clear cell renal cell carcinoma. Int J Urol 18(10):727–730
Rao RK, Riffel P, Meyer M, et al. (2012) Implementation of dual-source RF excitation in 3 T MR-scanners allows for nearly identical ADC values compared to 1.5 T MR scanners in the abdomen. PLoS One 7(2):e32613
Wu GY, Lu Q, Wu LM, et al. (2014) Imaging of upper urinary tract cancer: using conventional MRI and diffusion-weighted MRI with different b values. Acta Radiol 55(7):882–889
Park SY, Kim CK, Park BK, Kwon GY (2014) Comparison of apparent diffusion coefficient calculation between two-point and multipoint B value analyses in prostate cancer and benign prostate tissue at 3 T: preliminary experience. AJR Am J Roentgenol 203(3):W287–W294
Chandarana H, Kang SK, Wong S, et al. (2012) Diffusion-weighted intravoxel incoherent motion imaging of renal tumors with histopathologic correlation. Invest Radiol 47(12):688–696
Golshahi J, Nasri H, Gharipour M (2014) Contrast-induced nephropathy: a literature review. J Nephropathol 3(2):51–56
Ho VB, Allen SF, Hood MN, Choyke PL (2002) Renal masses: quantitative assessment of enhancement with dynamic MR imaging. Radiology 224(3):695–700
Scialpi M, Di Maggio A, Midiri M, et al. (2000) Small renal masses: assessment of lesion characterization and vascularity on dynamic contrast-enhanced MR imaging with fat suppression. AJR Am J Roentgenol 175(3):751–757
Yamashita Y, Miyazaki T, Hatanaka Y, Takahashi M (1995) Dynamic MRI of small renal cell carcinoma. J Comput Assist Tomogr 19(5):759–765
Sevcenco S, Ponhold L, Javor D, et al. (2014) Three-Tesla dynamic contrast-enhanced MRI: a critical assessment of its use for differentiation of renal lesion subtypes. World J Urol 32(1):215–220
Cornelis F, Tricaud E, Lasserre AS, et al. (2014) Routinely performed multiparametric magnetic resonance imaging helps to differentiate common subtypes of renal tumours. Eur Radiol 24(5):1068–1080
Schunk K, Schild H, Strunk H, et al. (1994) Computerized tomography of kidney tumors. Aktuelle Radiol 4(5):235–242
Acknowledgements
We would like to thank Moira R. Hitchens (Department of Radiology, University of Pittsburgh) for revising our manuscript. This work was supported by Sichuan Provincial Science and Technology plan Grants 2011SZ0160.
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Hanmei Zhang, Qi Gan, Yinghua Wu, Rongbo Liu, Xijiao Liu, Zixing Huang, Fang Yuan, Min Kuang, Bin Song declare that they have no conflict of interest.
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All procedures performed in studies involving human participants were in accordance with the ethical standards of the institutional and/or national research committee and with the 1964 Helsinki declaration and its later amendments or comparable ethical standards. For this type of study formal consent is not required.
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Zhang, H., Gan, Q., Wu, Y. et al. Diagnostic performance of diffusion-weighted magnetic resonance imaging in differentiating human renal lesions (benignity or malignancy): a meta-analysis. Abdom Radiol 41, 1997–2010 (2016). https://doi.org/10.1007/s00261-016-0790-z
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DOI: https://doi.org/10.1007/s00261-016-0790-z