Literature DB >> 16507752

Renal angiomyolipoma with minimal fat: differentiation from other neoplasms at double-echo chemical shift FLASH MR imaging.

Jeong Kon Kim1, Soo Hyun Kim, Yoon Jin Jang, Hanjong Ahn, Choung-Soo Kim, Hyungkeun Park, Jun Woo Lee, Suk Kim, Kyoung-Sik Cho.   

Abstract

PURPOSE: To prospectively evaluate the diagnostic performance of double-echo gradient-echo (GRE) chemical shift magnetic resonance (MR) imaging in the differentiation of angiomyolipoma (AML) with minimal fat from other renal neoplasms, with pathologic examination or follow-up data serving as the reference standard.
MATERIALS AND METHODS: Institutional review board approval and informed consent were obtained. Double-echo GRE chemical shift MR imaging was performed in 55 patients (29 men and 26 women; mean age, 49 years +/- 14 [standard deviation]) with 55 renal tumors, including 37 (67%) pathologically proved tumors (23 renal cell carcinomas, nine AMLs, two oncocytomas, two lymphomas, and one reninoma) and 18 (33%) clinically diagnosed tumors (17 AMLs and one indeterminate malignancy). All tumors showed no intratumoral fat and had homogeneous enhancement and a prolonged or gradual enhancement pattern on biphasic helical computed tomographic scans. Signal intensity was measured in the renal tumor and spleen on in-phase and opposed-phase images. The signal intensity index and tumor-to-spleen ratio in AMLs and non-AMLs were calculated and compared with the Student t test. Receiver operating characteristic (ROC) analysis was performed to evaluate the diagnostic accuracy of the signal intensity index and tumor-to-spleen ratio and to extract the optimal cut-off values in the differentiation of AMLs and non-AMLs.
RESULTS: The signal intensity index and tumor-to-spleen ratio were different between AMLs (42% +/- 11 and -43% +/- 17, respectively) and non-AMLs (5% +/- 14 and -4% +/- 16, respectively) (P < .001). The area under the ROC curve was 0.975 for the signal intensity index and 0.952 for the tumor-to-spleen ratio. For differentiation of AMLs from non-AMLs, sensitivity and specificity were (a) 96% and 93%, respectively, with a signal intensity index of 25% and (b) 88% and 97%, respectively, with a tumor-to-spleen ratio of -32%.
CONCLUSION: Double-echo GRE chemical shift MR imaging can be used to differentiate AML with minimal fat from other renal neoplasms. (c) RSNA, 2006.

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Year:  2006        PMID: 16507752     DOI: 10.1148/radiol.2391050102

Source DB:  PubMed          Journal:  Radiology        ISSN: 0033-8419            Impact factor:   11.105


  39 in total

Review 1.  Renal angiomyolipoma without visible fat: Can we make the diagnosis using CT and MRI?

Authors:  Robert S Lim; Trevor A Flood; Matthew D F McInnes; Luke T Lavallee; Nicola Schieda
Journal:  Eur Radiol       Date:  2017-08-04       Impact factor: 5.315

2.  MRI evaluation of small (<4cm) solid renal masses: multivariate modeling improves diagnostic accuracy for angiomyolipoma without visible fat compared to univariate analysis.

Authors:  Nicola Schieda; Marc Dilauro; Bardia Moosavi; Taryn Hodgdon; Gregory O Cron; Matthew D F McInnes; Trevor A Flood
Journal:  Eur Radiol       Date:  2015-10-20       Impact factor: 5.315

3.  MR classification of renal masses with pathologic correlation.

Authors:  Ivan Pedrosa; Mary T Chou; Long Ngo; Ronaldo H Baroni; Elizabeth M Genega; Laura Galaburda; William C DeWolf; Neil M Rofsky
Journal:  Eur Radiol       Date:  2007-09-26       Impact factor: 5.315

Review 4.  Imaging renal cell carcinoma with ultrasonography, CT and MRI.

Authors:  Michael J Leveridge; Peter J Bostrom; George Koulouris; Antonio Finelli; Nathan Lawrentschuk
Journal:  Nat Rev Urol       Date:  2010-05-18       Impact factor: 14.432

5.  Angiomyolipoma (AML) without visible fat: Ultrasound, CT and MR imaging features with pathological correlation.

Authors:  Shaheed W Hakim; Nicola Schieda; Taryn Hodgdon; Matthew D F McInnes; Marc Dilauro; Trevor A Flood
Journal:  Eur Radiol       Date:  2015-06-03       Impact factor: 5.315

Review 6.  Magnetic Resonance Imaging and the Use in Small Renal Masses.

Authors:  M Vedanayagam; B Bhattacharya; S Sriprasad
Journal:  Indian J Surg Oncol       Date:  2016-12-05

Review 7.  Review of renal cell carcinoma and its common subtypes in radiology.

Authors:  Gavin Low; Guan Huang; Winnie Fu; Zaahir Moloo; Safwat Girgis
Journal:  World J Radiol       Date:  2016-05-28

Review 8.  Chemical shift magnetic resonance imaging for distinguishing minimal-fat renal angiomyolipoma from renal cell carcinoma: a meta-analysis.

Authors:  Ling-Shan Chen; Zheng-Qiu Zhu; Zhi-Tao Wang; Jing Li; Li-Feng Liang; Ji-Yang Jin; Zhong-Qiu Wang
Journal:  Eur Radiol       Date:  2017-11-24       Impact factor: 5.315

9.  Selective arterial embolization of symptomatic and asymptomatic renal angiomyolipomas: a retrospective study of safety, outcomes and tumor size reduction.

Authors:  Florian Bardin; Olivier Chevallier; Aurélie Bertaut; Emmanuel Delorme; Morgan Moulin; Pierre Pottecher; Lucy Di Marco; Sophie Gehin; Eric Mourey; Luc Cormier; Christiane Mousson; Marco Midulla; Romaric Loffroy
Journal:  Quant Imaging Med Surg       Date:  2017-02

10.  Routinely performed multiparametric magnetic resonance imaging helps to differentiate common subtypes of renal tumours.

Authors:  F Cornelis; E Tricaud; A S Lasserre; F Petitpierre; J C Bernhard; Y Le Bras; M Yacoub; M Bouzgarrou; A Ravaud; N Grenier
Journal:  Eur Radiol       Date:  2014-02-21       Impact factor: 5.315

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