Deep learning reconstruction for accelerated high-resolution upper abdominal MRI improves lesion detection without time penalty - 02/03/25
Bienvenido a EM-consulte, la referencia de los profesionales de la salud.
Artículo gratuito.
Conéctese para beneficiarse!
Highlights |
• | Deep-learning reconstruction enabled accelerated high-resolution VIBE (HR-VIBE DL ) within the same 16-second breath-hold demonstrates superior overall abdominal image quality compared to conventional VIBE. |
• | Lesion conspicuity is better on HR-VIBE DL images by comparison with conventional VIBE images ( P = 0.005). |
• | Detection of upper abdominal lesions is improved using HR-VIBE DL images (500/513; 97.5 %) by comparison with conventional VIBE images (478/513; 93.2 %) ( P = 0.002). |
Abstract |
Purpose |
The purpose of this study was to compare a conventional T1-weighted volumetric interpolated breath-hold examination (VIBE) sequence with a DL-reconstructed accelerated high-resolution VIBE sequence (HR-VIBE DL ) in terms of image quality, lesion conspicuity, and lesion detection.
Materials and methods |
Consecutive patients referred for upper abdominal MRI between December 2023 and March 2024 at a single tertiary center were prospectively enrolled. Participants underwent 1.5 T upper abdominal MRI with acquisition of spectrally fat-saturated unenhanced and gadobutrol-enhanced conventional VIBE (fourfold acceleration, 3.0 mm slice thickness, 72 axial slices) and HR-VIBE DL (sixfold acceleration, 2.0 mm, 108 slices). Both sequences had an identical acquisition time of 16 s. Image analysis was performed by three readers in a blinded and randomized fashion, with respect to image quality, lesion conspicuity, and lesion detection in liver, pancreas, spleen, lymph nodes and adrenal glands. Image quality parameters were compared using repeated measures analysis of variance. Lesion detection rates were compared using Fisher exact test. Inter-reader agreement was assessed using Fleiss κ test.
Results |
Among 744 consecutive patients, 50 participants were evaluated. There were 30 men and 20 women, with a mean age of 60 ± 15 (standard deviation [SD]) years (age range: 18–88 years). HR-VIBE DL images demonstrated superior signal-to-noise ration and edge sharpness by comparison with conventional VIBE images ( P < 0.001 for both), with substantial interreader agreement (κ: 0.70–0.90). Lesion conspicuity was higher with for HR-VIBE DL images (3.50 ± 0.83 [SD]) by comparison with conventional VIBE images (3.21 ± 0.98 [SD]) ( P = 0.005). There were 171 upper abdominal lesions, yielding a total of 513 for all three readers. HR-VIBE DL images yielded higher lesion detection rate (97.5 %; 500/513) compared to conventional VIBE images (93.2 %; 478/513) ( P = 0.002).
Conclusion |
HR-VIBE DL images of the upper abdomen result in superior image quality, better lesion conspicuity, and improved lesion detection without time penalty by comparsion with conventional VIBE images.
El texto completo de este artículo está disponible en PDF.Keywords : Deep learning, High-resolution, Lesion detection, Upper abdominal MRI, Volumetric interpolated breath-hold examination (VIBE)
Abbreviations : DL, HR, MRI, SD, SNR, VIBE
Esquema
Vol 106 - N° 3
P. 85-92 - mars 2025 Regresar al número
Artículo precedente
- Shaping the future of MRI in upper abdominal imaging: The promise of deep learning reconstruction
- Anita Paisant, Sébastien Mulé
- Standard of care versus standard of care plus Ericksonian hypnosis for percutaneous liver biopsy: Results of a randomized control trial
- Maxime Barat, Camille Ollivier, Linda Taibi, Véronique Nitsche, Philippe Sogni, Philippe Soyer, Lucia Parlati, Anthony Dohan, Hendy Abdoul, Marie-Pierre Revel
Bienvenido a EM-consulte, la referencia de los profesionales de la salud.