Fat Poor Renal Angiomyolipoma: Patient, Computerized Tomography and Histological Findings

Milner, John; McNeil, Brian K.; Alioto, Joe; Proud, Kevin C; Rubinas, Tara C.; Picken, Maria M.; Demos, Terrence C; Türk, Thomas; Perry, Kent T.

doi:10.1016/j.juro.2006.04.016

Cited by 81 publications

(55 citation statements)

References 11 publications

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“…Classic AML is the most fre- quent and easily diagnosed by the detection of fat on imaging. 2 Fat poor AML, which is divided into hyperattenuating type and isoattenuating type 26 is less frequent and contains too few fat cells to be detected with imaging 2,26 (Fig. 5).…”

Section: Discussionmentioning

confidence: 99%

Utility of Apparent Diffusion Coefficients in the Evaluation of Solid Renal Tumors at 3T

Sasamori

Saiki

Suyama

et al. 2014

MRMS

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Purpose: We assessed the usefulness of apparent diffusion coefficients (ADCs) for solid renal tumor imaging using diffusion-weighted magnetic resonance imaging (DWI) at 3T.Methods: This retrospective study assessed ADCs of 31 patients with renal tumors that were imaged using preoperative DWI. DWI was performed with the b values of 50, 500, and 1000 s/mm 2 , using a 3T magnetic resonance imaging (MRI) system (MAGNETOM Trio, 3T, Siemens Healthcare, Erlangen, Germany). The ADC map was calculated using the b values of 50 and 1000 s/mm 2 . ADCs of the different tumors were compared according to the Tukey-Kramer test.Results: The tumors were diagnosed as clear cell renal cell carcinoma (RCC; n = 20), papillary RCC (n = 1), infiltrating urothelial carcinoma (UC) of the kidney (n = 4), cystic RCC (n = 1), poorly differentiated carcinoma (n = 1), and angiomyolipoma (AML; n = 4). The mean ADC of clear cell RCC was significantly higher than that of infiltrating UC of the kidney (1.423 vs. 0.931 © 10 ¹3 mm 2 /s; P < 0.05), and the mean ADC of AML was significantly lower than that of clear cell RCC (0.674 vs. 1.423 © 10 ¹3 mm 2 /s; P < 0.01). Conclusion: ADCs used in DWI at 3T may be useful for differentiation of different types of solid renal tumors.

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Section: Discussionmentioning

confidence: 99%

Utility of Apparent Diffusion Coefficients in the Evaluation of Solid Renal Tumors at 3T

Sasamori

Saiki

Suyama

et al. 2014

MRMS

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“…We expect that the specificity achieved in clinical practice may be lowered by the number of lipid poor angiomyolipomas encountered in a given series [38]. However, these tumors are relatively rare, at less than 2% of all surgically excised masses [39]. Furthermore, CSI quantitative MR techniques can also provide a degree of characterization for lipid poor angiomyolipomas [38].…”

Section: Discussionmentioning

confidence: 99%

MR classification of renal masses with pathologic correlation

et al. 2007

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To perform a feature analysis of malignant renal tumors evaluated with magnetic resonance (MR) imaging and to investigate the correlation between MR imaging features and histopathological findings. MR examinations in 79 malignant renal masses were retrospectively evaluated, and a feature analysis was performed. Each renal mass was assigned to one of eight categories from a proposed MRI classification system. The sensitivity and specificity of the MRI classification system to predict the histologic subtype and nuclear grade was calculated. Subvoxel fat on chemical shift imaging correlated to clear cell type (p < 0.05); sensitivity = 42%, specificity = 100%. Large size, intratumoral necrosis, retroperitoneal vascular collaterals, and renal vein thrombosis predicted high-grade clear cell type (p < 0.05). Small size, peripheral location, low intratumoral SI on T2-weighted images, and low-level enhancement were associated with low-grade papillary carcinomas (p < 0.05). The sensitivity and specificity of the MRI classification system for diagnosing low grade clear cell, high-grade clear cell, all clear cell, all papillary, and transitional carcinomas were 50% and 94%, 93% and 75%, 92% and 83%, 80% and 94%, and 100% and 99%, respectively. The MRI feature analysis and proposed classification system help predict the histological type and nuclear grade of renal masses.

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“…22 In fact, radiologic techniques using enhancement patterns and histogram analysis at CT and chemical shift MRI remain controversial to rule out RCC in histologically proven fat poor angiomyolipomas. [136][137][138] A solid renal tumor without fat content on imaging studies is regarded as RCC and treated as such. 138 Microscopically, angiomyolipomas are very cellular consisting mainly of myoid cells with vacuolated cytoplasm spinning off of large vessels in a background of mature fat.…”

Section: Benign Neoplasms Angiomyolipomamentioning

confidence: 99%

An Approach to Renal Masses in Pediatrics

Malkan¹,

Loh²,

Bahrami³

et al. 2015

Pediatrics

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Renal masses in children may be discovered during routine clinical examination or incidentally during the course of diagnostic or therapeutic procedures for other causes. Renal cancers are rare in the pediatric population and include a spectrum of pathologies that may challenge the clinician in choosing the optimal treatment. Correct identification of the lesion may be difficult, and the appropriate surgical procedure is paramount for lesions suspected to be malignant. The purpose of this article is to provide a comprehensive overview regarding the spectrum of renal tumors in the pediatric population, both benign and malignant, and their surgical management.

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Fat Poor Renal Angiomyolipoma: Patient, Computerized Tomography and Histological Findings

Cited by 81 publications

References 11 publications

Utility of Apparent Diffusion Coefficients in the Evaluation of Solid Renal Tumors at 3T

Utility of Apparent Diffusion Coefficients in the Evaluation of Solid Renal Tumors at 3T

MR classification of renal masses with pathologic correlation

An Approach to Renal Masses in Pediatrics

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