Diffusion-weighted magnetic resonance imaging in cystic renal masses

Authors

  • Fikret Balyemez Department of Radiology, Göztepe Training and Research Hospital, Medical School of Istanbul Medeniyet University, 34722, Kadikoy, Istanbul, Turkey
  • Ahmet Aslan Department of Radiology, Ümraniye Training and Research Hospital, Istanbul, Turkey, 34764, Ümraniye, Istanbul, Turkey
  • Ibrahim Inan Department of Radiology, Göztepe Training and Research Hospital, Medical School of Istanbul Medeniyet University, 34722, Kadikoy, Istanbul, Turkey
  • Ercan Ayaz Department of Radiology, Göztepe Training and Research Hospital, Medical School of Istanbul Medeniyet University, 34722, Kadikoy, Istanbul, Turkey
  • Vildan Karagöz Department of Radiology, Göztepe Training and Research Hospital, Medical School of Istanbul Medeniyet University, 34722, Kadikoy, Istanbul, Turkey
  • Sıdıka Şeyma Özkanlı Department of Pathology, Göztepe Training and Research Hospital, Medical School of Istanbul Medeniyet University, 34722, Kadikoy, Istanbul, Turkey
  • Murat Acar Department of Radiology, Göztepe Training and Research Hospital, Medical School of Istanbul Medeniyet University, 34722, Kadikoy, Istanbul, Turkey Department of Radiology, King Hamad University Hospital. Bahrain

DOI:

https://doi.org/10.5489/cuaj.3888

Abstract

Introduction: We aimed to introduce the diagnostic value of diffusion-weighted (DWI) magnetic resonance imaging (MRI) for distinguishing benign and malignant renal cystic masses.

Methods: Abdominal DWI-MRIs of patients with Bosniak categories 2F, 3, and 4 cystic renal masses were evaluated retrospectively. Cystic masses were assigned as benign or malignant according to histopathological or followup MRI findings and compared with apparent diffusion coefficient (ADC) values.

Results: There were 30 patients (18 males and 12 females, mean age was 59.23 ± 12.08 years [range 38‒83 years]) with cystic renal masses (eight Bosniak category 2F, 12 Bosniak category 3, 10 Bosniak category 4). Among them, 14 cysts were diagnosed as benign and 16 as malignant by followup imaging or histopathological findings. For the malignant lesions, the mean ADC values were lower than for benign lesions (p=0.001). An ADC value of ≤2.28 x10-6 mm2/s or less had a sensitivity of 75% and a specificity of 92.86% for detecting malignancy.

Conclusions: ADC can improve the diagnostic performance of MRI in the evaluation of complex renal cysts when used together with conventional MRI sequences.

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Author Biographies

Fikret Balyemez, Department of Radiology, Göztepe Training and Research Hospital, Medical School of Istanbul Medeniyet University, 34722, Kadikoy, Istanbul, Turkey

Radiology

Ahmet Aslan, Department of Radiology, Ümraniye Training and Research Hospital, Istanbul, Turkey, 34764, Ümraniye, Istanbul, Turkey

Radiology Department

Ibrahim Inan, Department of Radiology, Göztepe Training and Research Hospital, Medical School of Istanbul Medeniyet University, 34722, Kadikoy, Istanbul, Turkey

Radiology

Ercan Ayaz, Department of Radiology, Göztepe Training and Research Hospital, Medical School of Istanbul Medeniyet University, 34722, Kadikoy, Istanbul, Turkey

Radiology

Vildan Karagöz, Department of Radiology, Göztepe Training and Research Hospital, Medical School of Istanbul Medeniyet University, 34722, Kadikoy, Istanbul, Turkey

Radiology

Sıdıka Şeyma Özkanlı, Department of Pathology, Göztepe Training and Research Hospital, Medical School of Istanbul Medeniyet University, 34722, Kadikoy, Istanbul, Turkey

Pathology

Murat Acar, Department of Radiology, Göztepe Training and Research Hospital, Medical School of Istanbul Medeniyet University, 34722, Kadikoy, Istanbul, Turkey Department of Radiology, King Hamad University Hospital. Bahrain

Radiology

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Published

2017-01-12

How to Cite

Balyemez, F., Aslan, A., Inan, I., Ayaz, E., Karagöz, V., Özkanlı, S. Şeyma, & Acar, M. (2017). Diffusion-weighted magnetic resonance imaging in cystic renal masses. Canadian Urological Association Journal, 11(1-2), E8–14. https://doi.org/10.5489/cuaj.3888

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Section

Original Research