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Ma L, Li J, Azamuddin M, Zheng S, Wang W, Wang P. Detection of tumour boundary in metastatic liver disease with 2D multibreath-hold susceptibility-weighted imaging. Magn Reson Imaging 2022; 92:26-32. [PMID: 35623417 DOI: 10.1016/j.mri.2022.05.011] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/02/2021] [Revised: 05/05/2022] [Accepted: 05/19/2022] [Indexed: 10/18/2022]
Abstract
PURPOSE To investigate the feasibility of susceptibility weighted imaging (SWI) in detecting tumour boundaries in metastatic liver disease (MLD) without contrast agent, and whether SWI can provide pathophysiologic information for preoperative evaluation. METHODS Thirty patients with MLD underwent tumour resection. All patients underwent conventional MRI (T1-weighted and T2-weighted imaging), contrast-enhanced (CE) MRI and multibreath-hold 2D SWI. The conspicuity of the tumour boundary was assessed using a 4-grade scale. The detection rate of tumour boundaries and areas were reviewed and measured. The longest dimension was used to estimate the tumour size from the MR image. The conspicuity of the tumour boundary and area were compared using a nonparametric multi-group comparison (Friedman M). The McNemar test was applied to examine differences in the detection rate of tumour boundaries. RESULTS Among four different MRI sequences, SWI exhibited increased conspicuity of the tumour boundary than the conventional MRI (P < 0.001). SWI (91.8%) and CE-MRI (64.4%) exhibited higher detection rates of the tumour boundary than T1WI and T2WI (6.8% and 12.3% respectively). Longer tumour maximum diameters were measured with SWI (29.1 ± 17.2 mm) and CE-MRI (28.2 ± 16.8) compared to conventional MRI (P < 0.05). CONCLUSION 2D multibreath-hold SWI enables enhanced noninvasive detection of tumour boundaries in patients with MLD compared with conventional MRI and CE-MRI without using an exogenous contrast agent. SWI has the potential to become a preoperative assessment standard that complements conventional MRI.
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Affiliation(s)
- Liang Ma
- Department of Medical Imaging, Tongji Hospital, Tongji University, No. 389, Xincun Road, Putuo District, Shanghai 200065, China; Department of Radiology, Children's Hospital of Fudan University, National Children's Medical Center, No. 399, Wanyuan Road, Minhang District, Shanghai 201102, China
| | - Jinglu Li
- Department of Medical Imaging, Tongji Hospital, Tongji University, No. 389, Xincun Road, Putuo District, Shanghai 200065, China
| | - Mohammed Azamuddin
- Department of Medical Imaging, Tongji Hospital, Tongji University, No. 389, Xincun Road, Putuo District, Shanghai 200065, China
| | - Shaoqiang Zheng
- Department of Medical Imaging, Tongji Hospital, Tongji University, No. 389, Xincun Road, Putuo District, Shanghai 200065, China
| | - Wei Wang
- Department of Medical Imaging, Tongji Hospital, Tongji University, No. 389, Xincun Road, Putuo District, Shanghai 200065, China.
| | - Peijun Wang
- Department of Medical Imaging, Tongji Hospital, Tongji University, No. 389, Xincun Road, Putuo District, Shanghai 200065, China.
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