1
|
Fujioka T, Mori M, Oyama J, Kubota K, Yamaga E, Yashima Y, Katsuta L, Nomura K, Nara M, Oda G, Nakagawa T, Tateishi U. Investigating the Image Quality and Utility of Synthetic MRI in the Breast. Magn Reson Med Sci 2021; 20:431-438. [PMID: 33536401 PMCID: PMC8922358 DOI: 10.2463/mrms.mp.2020-0132] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/22/2022] Open
Abstract
Purpose Synthetic MRI reconstructs multiple sequences in a single acquisition. In the
present study, we aimed to compare the image quality and utility of
synthetic MRI with that of conventional MRI in the breast. Methods We retrospectively collected the imaging data of 37 women (mean age: 55.1
years; range: 20–78 years) who had undergone both synthetic and
conventional MRI of T2-weighted, T1-weighted, and fat-suppressed
(FS)-T2-weighted images. Two independent breast radiologists evaluated the
overall image quality, anatomical sharpness, contrast between tissues, image
homogeneity, and presence of artifacts of synthetic and conventional MRI on
a 5-point scale (5 = very good to 1 =
very poor). The interobserver agreement between the
radiologists was evaluated using weighted kappa. Results For synthetic MRI, the acquisition time was 3 min 28 s. On the 5-point scale
evaluation of overall image quality, although the scores of synthetic
FS-T2-weighted images (4.01 ± 0.56) were lower than that of
conventional images (4.95 ± 0.23; P < 0.001),
the scores of synthetic T1- and T2-weighted images (4.95 ± 0.23 and
4.97 ± 0.16) were comparable with those of conventional images (4.92
± 0.27 and 4.97 ± 0.16; P = 0.484 and
1.000, respectively). The kappa coefficient of conventional MRI was fair
(0.53; P < 0.001), and that of conventional MRI was
fair (0.46; P < 0.001). Conclusion The image quality of synthetic T1- and T2-weighted images was similar to that
of conventional images and diagnostically acceptable, whereas the quality of
synthetic T2-weighted FS images was inferior to conventional images.
Although synthetic MRI images of the breast have the potential to provide
efficient image diagnosis, further validation and improvement are required
for clinical application.
Collapse
Affiliation(s)
- Tomoyuki Fujioka
- Department of Diagnostic Radiology, Tokyo Medical and Dental University
| | - Mio Mori
- Department of Diagnostic Radiology, Tokyo Medical and Dental University
| | - Jun Oyama
- Department of Diagnostic Radiology, Tokyo Medical and Dental University
| | - Kazunori Kubota
- Department of Diagnostic Radiology, Tokyo Medical and Dental University.,Department of Radiology, Dokkyo Medical University
| | - Emi Yamaga
- Department of Diagnostic Radiology, Tokyo Medical and Dental University
| | - Yuka Yashima
- Department of Diagnostic Radiology, Tokyo Medical and Dental University
| | - Leona Katsuta
- Department of Diagnostic Radiology, Tokyo Medical and Dental University
| | - Kyoko Nomura
- Department of Diagnostic Radiology, Tokyo Medical and Dental University
| | - Miyako Nara
- Department of Diagnostic Radiology, Tokyo Medical and Dental University.,Department of Breast Surgery, Tokyo Metropolitan Cancer and Infectious Diseases Center Komagome Hospital
| | - Goshi Oda
- Department of Surgery, Breast Surgery, Tokyo Medical and Dental University
| | - Tsuyoshi Nakagawa
- Department of Surgery, Breast Surgery, Tokyo Medical and Dental University
| | - Ukihide Tateishi
- Department of Diagnostic Radiology, Tokyo Medical and Dental University
| |
Collapse
|
2
|
Scholz O, Denecke T, Böttcher J, Schwarz C, Mentzel HJ, Streitparth F, Maurer MH, Pfeil A, Huppertz A, Mehl A, Staab D, Hamm B, Renz DM. MRI of cystic fibrosis lung manifestations: sequence evaluation and clinical outcome analysis. Clin Radiol 2017; 72:754-763. [PMID: 28545684 DOI: 10.1016/j.crad.2017.03.017] [Citation(s) in RCA: 13] [Impact Index Per Article: 1.9] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/12/2016] [Revised: 01/19/2017] [Accepted: 03/20/2017] [Indexed: 11/17/2022]
Abstract
AIM To evaluate different magnetic resonance imaging (MRI) sequences for diagnosis of pulmonary manifestations of cystic fibrosis (CF) in comparison to chest computed tomography (CT), including an extended outcome analysis. MATERIALS AND METHODS Twenty-eight patients with CF (15 male, 13 female, mean age 30.5±9.4 years) underwent CT and MRI of the lung. MRI (1.5 T) included different T2- and T1-weighted sequences: breath-hold HASTE (half Fourier acquisition single shot turbo spin echo) and VIBE (volumetric interpolated breath-hold examination, before and after contrast medium administration) sequences and respiratory-triggered PROPELLER (periodically rotated overlapping parallel lines with enhanced reconstruction) sequences with and without fat signal suppression, and perfusion imaging. CT and MRI images were evaluated by the modified Helbich and the Eichinger scoring systems. The clinical follow-up analysis assessed pulmonary exacerbations within 24 months. RESULTS The highest concordance to CT was achieved for the PROPELLER sequences without fat signal suppression (concordance correlation coefficient CCC of the overall modified Helbich score 0.93 and of the overall Eichinger score 0.93). The other sequences had the following concordance: PROPELLER with fat signal suppression (CCCs 0.91 and 0.92), HASTE (CCCs 0.87 and 0.89), VIBE (CCCs 0.84 and 0.85) sequences. In the outcome analysis, the combined MRI analysis of all five sequences and a specific MRI protocol (PROPELLER without fast signal suppression, VIBE sequences, perfusion imaging) reached similar correlations to the number of pulmonary exacerbations as the CT examinations. CONCLUSION An optimum lung MRI protocol in patients with CF consists of PROPELLER sequences without fat signal suppression, VIBE sequences, and lung perfusion analysis to enable high diagnostic efficacy and outcome prediction.
Collapse
Affiliation(s)
- O Scholz
- Department of Radiology, Charité University Medicine Berlin, Campus Virchow Clinic, Augustenburger Platz 1, 13353 Berlin, Germany
| | - T Denecke
- Department of Radiology, Charité University Medicine Berlin, Campus Virchow Clinic, Augustenburger Platz 1, 13353 Berlin, Germany
| | - J Böttcher
- Institute of Diagnostic and Interventional Radiology, SRH Clinic Gera, Str. des Friedens 122, 07548 Gera, Germany
| | - C Schwarz
- Division of Pulmonology and Immunology, Department of Pediatrics, Charité University Medicine Berlin, Campus Virchow Clinic, Augustenburger Platz 1, 13353 Berlin, Germany
| | - H-J Mentzel
- Institute of Diagnostic and Interventional Radiology, Department of Pediatric Radiology, Friedrich-Schiller-University, Jena University Hospital, Am Klinikum 1, 07740 Jena, Germany
| | - F Streitparth
- Department of Radiology, Charité University Medicine Berlin, Campus Virchow Clinic, Augustenburger Platz 1, 13353 Berlin, Germany
| | - M H Maurer
- Department of Radiology, Charité University Medicine Berlin, Campus Virchow Clinic, Augustenburger Platz 1, 13353 Berlin, Germany
| | - A Pfeil
- Department of Internal Medicine III, Friedrich-Schiller-University, Jena University Hospital, Am Klinikum 1, 07740 Jena, Germany
| | - A Huppertz
- Department of Radiology, Charité University Medicine Berlin, Campus Virchow Clinic, Augustenburger Platz 1, 13353 Berlin, Germany
| | - A Mehl
- Division of Pulmonology and Immunology, Department of Pediatrics, Charité University Medicine Berlin, Campus Virchow Clinic, Augustenburger Platz 1, 13353 Berlin, Germany
| | - D Staab
- Division of Pulmonology and Immunology, Department of Pediatrics, Charité University Medicine Berlin, Campus Virchow Clinic, Augustenburger Platz 1, 13353 Berlin, Germany
| | - B Hamm
- Department of Radiology, Charité University Medicine Berlin, Campus Virchow Clinic, Augustenburger Platz 1, 13353 Berlin, Germany
| | - D M Renz
- Department of Radiology, Charité University Medicine Berlin, Campus Virchow Clinic, Augustenburger Platz 1, 13353 Berlin, Germany; Institute of Diagnostic and Interventional Radiology, Department of Pediatric Radiology, Friedrich-Schiller-University, Jena University Hospital, Am Klinikum 1, 07740 Jena, Germany.
| |
Collapse
|