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Evaluation of magnetic resonance colonography at 3.0 Tesla regarding diagnostic accuracy and image quality
Bettina Saar1, Juergen M Gschossmann, Harald M Bonel
1Department of Diagnostic, Interventional and Pediatric Radiology, Inselspital, University of Bern, Bern, Switzerland. bettina.saar@insel.ch
Objectives:
To assess magnetic resonance (MR)-colonography (MRC) for detection of colorectal lesions using two different T1w three-dimensional (3D)-gradient-recalled echo (GRE)-sequences and integrated parallel data acquisition (iPAT) at a 3.0 Tesla MR-unit.
Materials And Methods:
In this prospective study, 34 symptomatic patients underwent dark lumen MRC at a 3.0 Tesla unit before conventional colonoscopy (CC). After colon distension with tap water, 2 high-resolution T1w 3D-GRE [3-dimensional fast low angle shot (3D-FLASH), iPAT factor 2 and 3D-volumetric interpolated breathhold examination (VIBE), iPAT 3] sequences were acquired without and after bolus injection of gadolinium. Prospective evaluation of MRC was performed. Image quality of the different sequences was assessed qualitatively and quantitatively. The findings of the same day CC served as standard of reference.
Results:
MRC identified all polyps >5 mm (16 of 16) in size and all carcinomas (4 of 4) correctly. Fifty percent of the small polyps =5 mm (4 of 8) were visualized by MRC. Diagnostic quality was excellent in 94% (384 of 408 colonic segments) using the 3D-FLASH and in 92% (376 of 408) for the VIBE. The 3D-FLASH sequence showed a 3-fold increase in signal-to-noise ratio (8 +/- 3.3 standard deviation (SD) in lesions without contrast enhancement (CE); 24.3 +/- 7.8 SD after CE). For the 3D-VIBE sequence, signal-to-noise ratio doubled in the detected lesions (147 +/- 54 SD without and 292 +/- 168 SD after CE). Although image quality was ranked lower in the VIBE, the image quality score of both sequences showed no statistical significant difference (chi > 0.6).
Conclusions:
MRC using 3D-GRE-sequences and iPAT is feasible at 3.0 T-systems. The high-resolution 3D-FLASH was slightly preferred over the 3D-VIBE because of better image quality, although both used sequences showed no statistical significant difference.
Insights
Magnetic resonance (MR) colonography (MRC) effectively detects large colorectal lesions at 3.0 Tesla. This advanced imaging technique shows promise for diagnosing colorectal cancer and polyps.
Area of Science:
- Radiology
- Gastroenterology
- Medical Imaging
Background:
- Colorectal cancer screening relies on colonoscopy, which carries risks.
- Magnetic resonance (MR) colonography (MRC) offers a non-invasive alternative for colorectal lesion detection.
- Advancements in 3.0 Tesla MR systems and imaging sequences aim to improve diagnostic accuracy.
Purpose of the Study:
- To evaluate the efficacy of 3.0 Tesla MR colonography (MRC) in detecting colorectal lesions.
- To compare two specific T1w 3D-gradient-recalled echo (GRE) sequences with integrated parallel data acquisition (iPAT) for MRC.
- To assess the diagnostic performance of MRC against conventional colonoscopy.
Main Methods:
- Prospective study of 34 symptomatic patients undergoing dark lumen MRC at 3.0 Tesla before conventional colonoscopy (CC).
- Two high-resolution T1w 3D-GRE sequences (3D-FLASH with iPAT 2 and 3D-VIBE with iPAT 3) were acquired.
- Image quality was assessed qualitatively and quantitatively, with CC serving as the reference standard.
Main Results:
- MRC accurately identified all large polyps (>5 mm) and all carcinomas (100% detection rate).
- Fifty percent of small polyps (=5 mm) were visualized.
- Excellent diagnostic quality was achieved in over 90% of colonic segments for both sequences, with 3D-FLASH showing improved signal-to-noise ratio after contrast enhancement.
Conclusions:
- 3.0 Tesla MR colonography using 3D-GRE sequences and iPAT is a feasible technique for colorectal lesion detection.
- The 3D-FLASH sequence demonstrated slightly better image quality compared to 3D-VIBE, though both showed comparable diagnostic performance.
- MRC shows significant potential as a non-invasive tool for colorectal cancer screening and diagnosis.
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