Literature DB >> 16791464

Diagnostic accuracy of chemical-shift MR imaging to differentiate between adrenal adenomas and non adenoma adrenal lesions.

S Maurea1, M Imbriaco, M D'Angelillo, C Mollica, L Camera, M Salvatore.   

Abstract

PURPOSE: The objective of this study was to evaluate the diagnostic accuracy of chemical-shift (CS) magnetic resonance (MR) imaging in the differential diagnosis of adenoma and nonadenoma adrenal masses.
MATERIALS AND METHODS: We enrolled 36 patients (9 men, 27 women, mean age 51.3+14.4 years) with unilateral (n=31) or bilateral (n=5) adrenal masses incidentally discovered during imaging examinations [ultrasound (US), computed tomography (CT)] performed for other indications. A total of 41 adrenal lesions were evaluated (mean diameter 3.0+2.2 cm). Histology (n=19), biopsy (n=3) or clinical-imaging follow-up (n=19) demonstrated 29 adenomas, five pheochromocytomas, three cysts and four carcinomas. MR imaging was performed using the following breath-hold sequences: T1-fast field echo (FFE) [repetition time (TR)/echo time (TE)=236/4.6 ms], T2-turbo spin echo-single shot (TSE-SSh) (TR/TE=831/80 ms), T1-DUAL-FFE (TR=236, double TE=4.6/2.3 ms in phase and out of phase) and T1-FFE after gadolinium-DTPA (Gd). Axial and coronal imaging planes were used, with a slice thickness of 3-5 mm. MR images were qualitatively assessed for signal intensity of the adrenal mass relative to the liver on T1, T2, CS and T1-Gd scans; diagnostic criteria for adenomas were isointensity or hypointensity on both T1 and T2 scans, out-of-phase CS signal loss and mild transient enhancement after Gd.
RESULTS: Analysis of T1-T2 signal intensity showed diagnostic accuracy, sensitivity, specificity, positive predictive value (PPV) and negative predictive value (NPV) of 80%, 72%, 100%, 100% and 60%, respectively. In contrast, analysis of CS and T1-Gd signal intensity showed diagnostic accuracy, sensitivity, specificity, PPV and NPV for both sequences of 93%, 90% (p<0.05 vs. T1-T2 analysis), 100%, 100% and 80% (p<0.05 vs. T1-T2 analysis), respectively.
CONCLUSIONS: CS MR imaging significantly improves characterization of adrenal masses compared with conventional T1-T2-weighted images, providing accuracy similar to that of the T1 sequence after Gd. Therefore, the CS sequence is strongly recommended for MR study of adrenal masses, and its use might obviate the need for Gd administration.

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Year:  2006        PMID: 16791464     DOI: 10.1007/s11547-006-0065-9

Source DB:  PubMed          Journal:  Radiol Med        ISSN: 0033-8362            Impact factor:   3.469


  5 in total

1.  Chemical shift imaging for evaluation of adrenal masses: a systematic review and meta-analysis.

Authors:  Ivan Platzek; Dominik Sieron; Verena Plodeck; Angelika Borkowetz; Michael Laniado; Ralf-Thorsten Hoffmann
Journal:  Eur Radiol       Date:  2018-07-16       Impact factor: 5.315

2.  Nuclear imaging to characterize adrenal tumors: Comparison with MRI.

Authors:  Simone Maurea; Pier Paolo Mainenti; Valeria Romeo; Carmine Mollica; Marco Salvatore
Journal:  World J Radiol       Date:  2014-07-28

3.  Hemilaterally masked arterial spin labeling by intentional magnetic field changes in the labeling area due to placement of material with high susceptibility.

Authors:  Hiroaki Hagiwara; Yoshito Nakajima; Tadashi Ikegami; Yoshinori Kinno; Megumi Kumada
Journal:  PLoS One       Date:  2018-07-12       Impact factor: 3.240

4.  The value of signal intensity on T1-weighted chemical shift magnetic resonance imaging combined with proton magnetic resonance spectroscopy for the diagnosis of adrenal adenomas.

Authors:  Claudio Carvalho Dalavia; Suzan Menasce Goldman; Homero José de Farias E Melo; Claudio Elias Kater; Jacob Szejnfeld; Wagner Iared; Sergio Aron Ajzen
Journal:  Radiol Bras       Date:  2020 Mar-Apr

5.  Qualitative Heterogeneous Signal Drop on Chemical Shift (CS) MR Imaging: Correlative Quantitative Analysis between CS Signal Intensity Index and Contrast Washout Parameters Using T1-Weighted Sequences.

Authors:  Arnaldo Stanzione; Francesco Verde; Roberta Galatola; Valeria Romeo; Raffaele Liuzzi; Pier Paolo Mainenti; Giovanni Aprea; Michele Klain; Elia Guadagno; Marialaura Del Basso De Caro; Simone Maurea
Journal:  Tomography       Date:  2021-12-14
  5 in total

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