Literature DB >> 27275530

Evaluation of T1-Weighted MRI to Detect Intratumoral Hemorrhage Within Papillary Renal Cell Carcinoma as a Feature Differentiating From Angiomyolipoma Without Visible Fat.

Catherine A Murray1, Matthew Quon1, Matthew D F McInnes1, Christian B van der Pol1, Shaheed W Hakim2, Trevor A Flood2, Nicola Schieda1.   

Abstract

OBJECTIVE: The objective of the present study is to determine whether hemorrhage within papillary renal cell carcinoma (RCC) can be detected using T1-weighted MRI and to ascertain whether it can be used to differentiate papillary RCC from angiomyolipoma (AML) without visible fat.
MATERIALS AND METHODS: A retrospective case-control study compared 11 AMLs without visible fat with 58 papillary RCCs smaller than 5 cm that were evaluated using MRI between 2003 and 2015. Two blinded radiologists subjectively evaluated MR images to identify the presence of intratumoral hemorrhage on the basis of a decrease in signal intensity (SI) on in-phase, compared with opposed-phase, chemical-shift MRI and also on the basis of the SI of the lesion compared with that of the renal cortex on fat-suppressed T1-weighted MRI. A third radiologist established consensus and measured the ratio of the SI of the lesion to that of the renal cortex (hereafter referred to as the "SI ratio") on T2-weighted MRI; the SI loss index, as calculated using the equation [(SItumorIP - SItumorOP) / SItumorOP] × 100, where IP denotes the in-phase image and OP denotes the opposed-phase image; and the SI ratio on fat-suppressed T1-weighted MRI. Analyses were performed using tests of association and ROCs.
RESULTS: When AMLs without visible fat were compared with papillary RCCs, no statistically significant difference in the T2-weighted SI ratio was noted (p = 0.08). Papillary RCCs had a lower mean (± SD) SI loss index (-3.7% ± 17.3%; range, -51.3% to 31.3%) than did AMLs without visible fat (37.8% ± 76.1%; range, -15.6% to 184.4%) (p < 0.001). A mean SI loss index of less than -16% resulted in an AUC of 0.71 (95% CI, 0.52-0.91), with a sensitivity and specificity of 22.8% and 100%, respectively, for the diagnosis of papillary RCC. After consensus review, none of the AMLs without visible fat and 16 of the 58 papillary RCCs (27.6%) were found to have a decrease in SI on subjective analysis (p = 0.06, κ = 0.60). Between groups, no differences were noted in the SI ratio on fat-suppressed T1-weighted MRI (p = 0.58) or in the SI observed on subjective analysis of fat-suppressed T1-weighted MRI (p = 0.20, κ = 0.48).
CONCLUSION: The presence of intratumoral hemorrhage within papillary RCC is a specific feature that differentiates papillary RCCs from AMLs without visible fat. Subjective analysis may be more clinically appropriate than chemical-shift MRI because of limitations in the quantitative measurement of T2* signal with the use of chemical-shift MRI.

Entities:  

Keywords:  MRI; angiomyolipoma; hemorrhage; papillary; renal cell carcinoma

Mesh:

Year:  2016        PMID: 27275530     DOI: 10.2214/AJR.16.16062

Source DB:  PubMed          Journal:  AJR Am J Roentgenol        ISSN: 0361-803X            Impact factor:   3.959


  6 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.  Diagnostic Accuracy of MRI for Detection of Papillary Renal Cell Carcinoma: A Systematic Review and Meta-Analysis.

Authors:  Matthew A Chiarello; Rahul D Mali; Stella K Kang
Journal:  AJR Am J Roentgenol       Date:  2018-07-31       Impact factor: 3.959

Review 3.  CT and MRI of small renal masses.

Authors:  Zhen J Wang; Antonio C Westphalen; Ronald J Zagoria
Journal:  Br J Radiol       Date:  2018-05-10       Impact factor: 3.039

4.  Are growth patterns on MRI in small (< 4 cm) solid renal masses useful for predicting benign histology?

Authors:  Robert S Lim; Matthew D F McInnes; Mahadevaswamy Siddaiah; Trevor A Flood; Luke T Lavallee; Nicola Schieda
Journal:  Eur Radiol       Date:  2018-02-28       Impact factor: 5.315

5.  Renal and adrenal masses containing fat at MRI: Proposed nomenclature by the society of abdominal radiology disease-focused panel on renal cell carcinoma.

Authors:  Nicola Schieda; Matthew S Davenport; Ivan Pedrosa; Atul Shinagare; Hersch Chandarana; Nicole Curci; Ankur Doshi; Gary Israel; Erick Remer; Jane Wang; Stuart G Silverman
Journal:  J Magn Reson Imaging       Date:  2019-01-28       Impact factor: 4.813

6.  Diagnostic accuracy of signal loss in in-phase gradient-echo images for differentiation between small renal cell carcinoma and lipid-poor angiomyolipomas.

Authors:  Francisco V A Lima; Jorge Elias; Fernando Chahud; Rodolfo B Reis; Valdair F Muglia
Journal:  Br J Radiol       Date:  2020-02-04       Impact factor: 3.039

  6 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.