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The Role of Apparent Diffusion Coefficient Quantification in Differentiating Benign and Malignant Renal Masses by 3 Tesla Magnetic Resonance Imaging

Year 2015, Volume: 32 Issue: 3, 273 - 278, 01.07.2015

Abstract

Background: Diffusion-weighted magnetic resonance imaging (DWI) is a widely-accepted diagnostic modality whose efficacy has been investigated by numerous past studies in the differentiation of malignant lesions from benign entities. Aims: The aim of this study was to evaluate the efficiency of diffusion-weighted magnetic resonance imaging in the characterization of renal lesions. Study Design: Diagnostic accuracy study. Methods: A total of 137 patients with renal lesions were included in this study. The median apparent diffusion coefficient (ADC) values as well as the b 800 and b 1600 signal intensities of normal kidneys, solid components of mixed renal masses, and total cystic lesions were evaluated. Results: There were significant differences between the ADC values of lesions and normal renal parenchyma, and between the ADC values of benign and malignant renal lesions on DWIs at b values of 800 and 1600 s/mm² (p<0.001 and p<0.001, respectively). There were significant differences between the ADC values of Bosniak Category 1 and 2 cysts and the ADC values of Bosniak Category 1 and 3 cysts on DWIs at b values of 800 s/mm² (p<0.001) and 1600 s/mm2 (p<0.001). A cutoff value of 1.902 x 10-3 mm²/s for the ADC with a b value of 800 s/mm² provided 88% sensitivity and 96% specificity for differentiation between benign and malignant renal lesions. A cutoff value of 1.623 x 10-3 mm²/s for the ADC with a b value of 1600 s/mm² provided 79% sensitivity and 96% specificity (p<0.001) for the differentiation between benign and malignant renal lesions. Conclusion: Accurate assessment of renal masses is important for determining the necessity for surgical intervention. DWI provides additional value by differentiating benign from malignant renal tumors and can be added to routine kidney MRI protocols.

References

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  • 2. Le Bihan D, Turner R, Douek P, Patronas N. Diffusion MR imaging: clinical applications. AJR Am J Roentgenol 1992;159:591-9. [CrossRef]
  • 3. Warach S, Chien D, Li W, Ronthal M, Edelman RR. Fast magnetic resonance diffusion-weighted imaging of acute human stroke. Neurology 1992;42:1717-23. [CrossRef]
  • 4. Back T, Hoehn-Berlage M, Kohno K, Hossmann KA. Diffusion nuclear magnetic resonance imaging in experimental stroke. Correlation with cerebral metabolites. Stroke 1994;25: 494-500. [CrossRef]
  • 5. Lutsep HL, Albers GW, DeCrespigny A, Kamat GN, Marks MP, Moseley ME. Clinical utility of diffusion-weighted magnetic resonance imaging in the assessment of ischemic stroke Ann Neurol 1997;41:574-80. [CrossRef]
  • 6. Kim T, Murakami T, Takahashi S, Hori M, Tsuda K, Nakamura H. Diffusion-weighted single-shot echoplanar MR imaging for liver disease. AJR Am J Roentgenol 1999;173:393-8. [CrossRef]
  • 7. Ichikawa T, Haradome H, Hachiya J, Nitatori T, Araki T. Diffusion-weighted MR imaging with single-shot echo-planar imaging in the upper abdomen: preliminary clinical experience in 61 patients. Abdom Imaging 1999;24:456-61. [CrossRef]
  • 8. Cova M, Squillaci E, Stacul F, Manenti G, Gava S, Simonetti G, et al. Diffusion-weighted MRI in the evaluation of renal lesions: preliminary results. Br J Radiol 2004;77:851-7. [CrossRef]
  • 9. Semelka RC, Hricak H, Stevens SK, Finegold R, Tomei E, Carroll PR. Combined gadolinium-enhanced and fat-saturation MR imaging of renal masses. Radiology 1991;178:803-9. [CrossRef]
  • 10. Ho VB, Allen SF, Hood MN, Choyke PL. Renal masses: quantitative assessment of enhancement with dynamic MR imaging. Radiology 2002;224:695-700. [CrossRef]
  • 11. Yu X, Lin M, Ouyang H, Zhou C, Zhang H. Application of ADC measurement in characterization of renal cell carcinomas with different pathological types and grades by 3.0T diffusionweighted MRI. Eur J Radiol 2012;81:3061-6. [CrossRef]
  • 12. Inci E, Hocaoglu E, Aydin S, Cimilli T. Diffusion-weighted magnetic resonance imaging in evaluation of primary solid and cystic renal masses using the Bosniak classification. Eur J Radiol 2012;81:815-20. [CrossRef]
  • 13. Manenti G, Di Roma M, Mancino S, Bartolucci DA, Palmieri G, Mastrangeli R, et al. Malignant renal neoplasms: correlation between ADC values and cellularity in diffusion weighted magnetic resonance imaging at 3 T. Radiol Med 2008;113:199-213. [CrossRef]
  • 14. Yoshikawa T, Kawamitsu H, Mitchell DG, Ohno Y, Ku Y, Seo Y, et al. ADC measurement of abdominal organs and lesions using parallel imaging technique. AJR Am J Roentgenol 2006;187:1521-30. [CrossRef]
  • 15. Doganay S, Kocakoc E, Cicekci M, Aglamis S, Akpolat N, Orhan I. Ability and utility of diffusion-weighted MRI with different b values in the evaluation of benign and malignant renal lesions. Clin Radiol 2011;66:420-5. [CrossRef]
  • 16. Lassel EA, Rao R, Schwenke C, Schoenberg SO, Michaely HJ. Diffusion-weighted imaging of focal renal lesions: a meta-analysis. Eur Radiol 2014;24:241-9. [CrossRef]
  • 17. Kim S, Jain M, Harris AB, Lee VS, Babb JS, Sigmund EE, et al. T1 hyperintense renal lesions: characterization with diffusionweighted MR imaging versus contrast-enhanced MR imaging. Radiology 2009;251:796-807. [CrossRef]
  • 18. Sevcenco S, Heinz-Peer G, Ponhold L, Javor D, Kuehhas FE, Klingler HC, et al. Utility and limitations of 3-Tesla diffusionweighted magnetic resonance imaging for differentiation of renal tumors. Eur J Radiol 2014;83:909-13. [CrossRef
Year 2015, Volume: 32 Issue: 3, 273 - 278, 01.07.2015

Abstract

References

  • 1. Zhang J, Tehrani YM, Wang L, Ishill NM, Schwartz LH, Hricak H. Renal masses: characterization with diffusion-weighted MR imaging-a preliminary experience. Radiology 2008;247: 458-64. [CrossRef]
  • 2. Le Bihan D, Turner R, Douek P, Patronas N. Diffusion MR imaging: clinical applications. AJR Am J Roentgenol 1992;159:591-9. [CrossRef]
  • 3. Warach S, Chien D, Li W, Ronthal M, Edelman RR. Fast magnetic resonance diffusion-weighted imaging of acute human stroke. Neurology 1992;42:1717-23. [CrossRef]
  • 4. Back T, Hoehn-Berlage M, Kohno K, Hossmann KA. Diffusion nuclear magnetic resonance imaging in experimental stroke. Correlation with cerebral metabolites. Stroke 1994;25: 494-500. [CrossRef]
  • 5. Lutsep HL, Albers GW, DeCrespigny A, Kamat GN, Marks MP, Moseley ME. Clinical utility of diffusion-weighted magnetic resonance imaging in the assessment of ischemic stroke Ann Neurol 1997;41:574-80. [CrossRef]
  • 6. Kim T, Murakami T, Takahashi S, Hori M, Tsuda K, Nakamura H. Diffusion-weighted single-shot echoplanar MR imaging for liver disease. AJR Am J Roentgenol 1999;173:393-8. [CrossRef]
  • 7. Ichikawa T, Haradome H, Hachiya J, Nitatori T, Araki T. Diffusion-weighted MR imaging with single-shot echo-planar imaging in the upper abdomen: preliminary clinical experience in 61 patients. Abdom Imaging 1999;24:456-61. [CrossRef]
  • 8. Cova M, Squillaci E, Stacul F, Manenti G, Gava S, Simonetti G, et al. Diffusion-weighted MRI in the evaluation of renal lesions: preliminary results. Br J Radiol 2004;77:851-7. [CrossRef]
  • 9. Semelka RC, Hricak H, Stevens SK, Finegold R, Tomei E, Carroll PR. Combined gadolinium-enhanced and fat-saturation MR imaging of renal masses. Radiology 1991;178:803-9. [CrossRef]
  • 10. Ho VB, Allen SF, Hood MN, Choyke PL. Renal masses: quantitative assessment of enhancement with dynamic MR imaging. Radiology 2002;224:695-700. [CrossRef]
  • 11. Yu X, Lin M, Ouyang H, Zhou C, Zhang H. Application of ADC measurement in characterization of renal cell carcinomas with different pathological types and grades by 3.0T diffusionweighted MRI. Eur J Radiol 2012;81:3061-6. [CrossRef]
  • 12. Inci E, Hocaoglu E, Aydin S, Cimilli T. Diffusion-weighted magnetic resonance imaging in evaluation of primary solid and cystic renal masses using the Bosniak classification. Eur J Radiol 2012;81:815-20. [CrossRef]
  • 13. Manenti G, Di Roma M, Mancino S, Bartolucci DA, Palmieri G, Mastrangeli R, et al. Malignant renal neoplasms: correlation between ADC values and cellularity in diffusion weighted magnetic resonance imaging at 3 T. Radiol Med 2008;113:199-213. [CrossRef]
  • 14. Yoshikawa T, Kawamitsu H, Mitchell DG, Ohno Y, Ku Y, Seo Y, et al. ADC measurement of abdominal organs and lesions using parallel imaging technique. AJR Am J Roentgenol 2006;187:1521-30. [CrossRef]
  • 15. Doganay S, Kocakoc E, Cicekci M, Aglamis S, Akpolat N, Orhan I. Ability and utility of diffusion-weighted MRI with different b values in the evaluation of benign and malignant renal lesions. Clin Radiol 2011;66:420-5. [CrossRef]
  • 16. Lassel EA, Rao R, Schwenke C, Schoenberg SO, Michaely HJ. Diffusion-weighted imaging of focal renal lesions: a meta-analysis. Eur Radiol 2014;24:241-9. [CrossRef]
  • 17. Kim S, Jain M, Harris AB, Lee VS, Babb JS, Sigmund EE, et al. T1 hyperintense renal lesions: characterization with diffusionweighted MR imaging versus contrast-enhanced MR imaging. Radiology 2009;251:796-807. [CrossRef]
  • 18. Sevcenco S, Heinz-Peer G, Ponhold L, Javor D, Kuehhas FE, Klingler HC, et al. Utility and limitations of 3-Tesla diffusionweighted magnetic resonance imaging for differentiation of renal tumors. Eur J Radiol 2014;83:909-13. [CrossRef
There are 18 citations in total.

Details

Other ID JA95UF37KH
Journal Section Research Article
Authors

Cemil Göya This is me

Cihad Hamidi This is me

Salih Hattapoğlu This is me

Aslan Bilici This is me

Hatice Gümüş This is me

Yaşar Bozkurt This is me

Alpaslan Yavuz This is me

Suzan Kuday This is me

Gül Türkçü This is me

Publication Date July 1, 2015
Published in Issue Year 2015 Volume: 32 Issue: 3

Cite

APA Göya, C., Hamidi, C., Hattapoğlu, S., Bilici, A., et al. (2015). The Role of Apparent Diffusion Coefficient Quantification in Differentiating Benign and Malignant Renal Masses by 3 Tesla Magnetic Resonance Imaging. Balkan Medical Journal, 32(3), 273-278.
AMA Göya C, Hamidi C, Hattapoğlu S, Bilici A, Gümüş H, Bozkurt Y, Yavuz A, Kuday S, Türkçü G. The Role of Apparent Diffusion Coefficient Quantification in Differentiating Benign and Malignant Renal Masses by 3 Tesla Magnetic Resonance Imaging. Balkan Medical Journal. July 2015;32(3):273-278.
Chicago Göya, Cemil, Cihad Hamidi, Salih Hattapoğlu, Aslan Bilici, Hatice Gümüş, Yaşar Bozkurt, Alpaslan Yavuz, Suzan Kuday, and Gül Türkçü. “The Role of Apparent Diffusion Coefficient Quantification in Differentiating Benign and Malignant Renal Masses by 3 Tesla Magnetic Resonance Imaging”. Balkan Medical Journal 32, no. 3 (July 2015): 273-78.
EndNote Göya C, Hamidi C, Hattapoğlu S, Bilici A, Gümüş H, Bozkurt Y, Yavuz A, Kuday S, Türkçü G (July 1, 2015) The Role of Apparent Diffusion Coefficient Quantification in Differentiating Benign and Malignant Renal Masses by 3 Tesla Magnetic Resonance Imaging. Balkan Medical Journal 32 3 273–278.
IEEE C. Göya, “The Role of Apparent Diffusion Coefficient Quantification in Differentiating Benign and Malignant Renal Masses by 3 Tesla Magnetic Resonance Imaging”, Balkan Medical Journal, vol. 32, no. 3, pp. 273–278, 2015.
ISNAD Göya, Cemil et al. “The Role of Apparent Diffusion Coefficient Quantification in Differentiating Benign and Malignant Renal Masses by 3 Tesla Magnetic Resonance Imaging”. Balkan Medical Journal 32/3 (July 2015), 273-278.
JAMA Göya C, Hamidi C, Hattapoğlu S, Bilici A, Gümüş H, Bozkurt Y, Yavuz A, Kuday S, Türkçü G. The Role of Apparent Diffusion Coefficient Quantification in Differentiating Benign and Malignant Renal Masses by 3 Tesla Magnetic Resonance Imaging. Balkan Medical Journal. 2015;32:273–278.
MLA Göya, Cemil et al. “The Role of Apparent Diffusion Coefficient Quantification in Differentiating Benign and Malignant Renal Masses by 3 Tesla Magnetic Resonance Imaging”. Balkan Medical Journal, vol. 32, no. 3, 2015, pp. 273-8.
Vancouver Göya C, Hamidi C, Hattapoğlu S, Bilici A, Gümüş H, Bozkurt Y, Yavuz A, Kuday S, Türkçü G. The Role of Apparent Diffusion Coefficient Quantification in Differentiating Benign and Malignant Renal Masses by 3 Tesla Magnetic Resonance Imaging. Balkan Medical Journal. 2015;32(3):273-8.