Share:
Share this content in WeChat
X
CLINICAL ARTICLE
The feasibility of reduced field-of-view DWI in the evaluation of bone marrow edema in knee joint contusion
ZHOU Shuang  ZHA Yunfei  XING Dong  LIU Fang  LIU Changsheng 

Cite this article as: Zhou S, Zha YF, Xing D, et al. The feasibility of reduced field-of-view DWI in the evaluation of bone marrow edema in knee joint contusion[J]. Chin J Magn Reson Imaging, 2021, 12(2): 52-56. DOI:10.12015/issn.1674-8034.2021.02.012.


[Abstract] Objective To investigate the feasibility of reduced field-of-view diffusion-weighted imaging (rFOV DWI) in evaluating bone marrow edema lesions (BMLs) after knee trauma. Materials andMethods Sixty patients with knee trauma were examined by sagittal proton density-weighted imaging fat-saturated (PDWI-FS) sequence, full-field diffusion-weighted imaging (fFOV DWI), and rFOV DWI. The image quality of rFOV DWI and fFOV DWI of the knee and the ADC values of BMLs were compared using the paired student t-test. The number of BMLs in the knee joints among the three sequences was compared with the Chi-square test.Results 109, 180 and 179 BMLs were detected on PDWI, rFOV and fFOV DWI ADC maps, respectively. BMLs detected on PDWI could almost be consistently detected on ADC maps of the two DWI techniques, and 70 lesions were additionally detected. The image quality of rFOV DWI was more excellent than that of fFOV DWI in knee bone contusion (P<0.05). The mean ADC value of BMLs measured on rFOV DWI was lower than that measured on fFOV DWI, and the difference was statistically significant (P<0.01).Conclusions The ability of both rFOV and fFOV DWI ADC maps in detecting traumatic BMLs of the knee is higher than the corresponding PDWI-FS. Moreover, the image quality of rFOV DWI is higher than that of fFOV DWI, which helps improve diagnostic confidence in BMLs.
[Keywords] magnetic resonance imaging;reduced field of view;full field of view;diffusion-weighted imaging;knee joint;bone contusion;bone marrow edema

ZHOU Shuang   ZHA Yunfei*   XING Dong   LIU Fang   LIU Changsheng  

Department of Radiology, Renmin Hospital of Wuhan University, Wuhan 430060, China

Zha YF, E-mail: zhayunfei999@126.com

Conflicts of interest   None.

ACKNOWLEDGMENTS This work was part of National Natural Science Foundation of China (No.81871332, 81801670).
Received  2020-09-08
Accepted  2021-01-12
DOI: 10.12015/issn.1674-8034.2021.02.012
Cite this article as: Zhou S, Zha YF, Xing D, et al. The feasibility of reduced field-of-view DWI in the evaluation of bone marrow edema in knee joint contusion[J]. Chin J Magn Reson Imaging, 2021, 12(2): 52-56. DOI:10.12015/issn.1674-8034.2021.02.012.

1
Liang JC, Fang YJ, Li WJ, et al. The diagnostic value of the relative ratio of different contrast substances in dual-energy CT virtual osteotomy for traumatic bone marrow edema of the knee[J]. Chin J Radiol, 2018, 52(1): 41-45. DOI: 10.3760/cma.j.issn.1005?1201.2018.01.009.
2
Huang XQ, Jin Y. One case of knee bone marrow edema caused by oral levofloxacin[J]. Northwest J Defense Med, 2018, 39(8): 549.
3
Bao SQ, Guo NJ. The value of dual-energy CT decalcification imaging in the diagnosis of bone contusion[J]. J Med Imaging, 2017, 27(2): 320-323.
4
Cao F, Zhang Y, Liao Q. Diagnostic value analysis of three new magnetic resonance functional imaging techniques for early knee cartilage injury[J]. Chin Med Equip, 2020, 17(1): 76-80. DOI: 10.3969/J.ISSN.1672-8270.2020.01.021.
5
Douis H, Jeys L, Grimer R, et al. Is there a role for diffusion-weighted MR(DWI) in the diagnosis of central cartilage tumors[J]. Skeletal Radiol, 2015, 44(7): 963-969.
6
Kida I, Ueguchi T, Matsuoka Y, et al. Comparison of diffusionweighted imaging in the human brain using readout-segmented EPI and PROPELLER turbo spin echo with single-shot EPI at 7 T MRI[J]. Invest Radiol, 2016, 51(7): 435-439.
7
Hilbert F, Wech T, Neubauer H, et al. Comparison of turbo spin echo and echo planar imaging for intravoxel incoherent motion and diffusion tensor imaging of the kidney at 3.0 Tesla[J]. Z Med Phys, 2017, 27(3): 193-201.
8
Chu KY, Zhang H, Li Y, et al. Analysis of routine and small-field diffusion-weighted imaging findings of normal kidneys[J]. Shandong Med J, 2015, 55(17): 73-74. DOI: 10.3969/j.issn.1002-266X.2015.17.029.
9
Feng C, Meng XY, Chen X, et al. Application value of MR small field diffusion-weighted imaging in adrenal nodules[J]. Radiol Pract, 2018, 33(1): 46-50. DOI: 10.13609/j.cnki.1000-0313.2018.01.009.
10
Wu SS, Li Z, Zou XL, et al. Diagnostic value of small field DWI for gallbladder disease[J]. Radiol Pract, 2018, 33(5): 464-467. DOI: 10.13609/j.cnki.1000-0313.2018.05.005.
11
Santas EU, Cunningham CH, Lee JH, et al. DWI of the spinal cord with reduced FOV single-shot EPI[J]. Magn Reson Med, 2008, 60(2): 468-473.
12
Wang Y, Lin YK, Zhou CS, et al. The value of small-field diffusion-weighted imaging in the diagnosis of prostate cancer[J]. J Med Postgraduates, 2016, 29(4): 395-400. DOI: 10.16571/j.cnki.1008-8199.2016.04.013
13
Xing D, Zha XF, Liu F, et al. A comparative study of sagittal full-field and s mall-field voxel intravoxel incoherent motion spine bone marrow imaging[J]. Chin J Magn Reson Imaging, 2017, 12(8): 897-901. DOI: 10.12015/issn.1674-8034.2017.12.004.
14
Tan FQ, Li Z, Wang QX, et al. The clinical application of reduced field-of-view (rFOV) diffusion-weighted imaging (DWI) in pancreatic cancer and pancreatitis[J]. Chin J Magn Reson Imaging, 2018, 9(9): 655-659. DOI: 10.12015/issn.1674-8034.2018.09.003.
15
Huang BH, Liu JM, He Y, et al. Evaluation of knee joint bone contusion by magnetic resonance diffusion imaging[J]. J Taishan Med College, 2018, 39(6): 614-616.
16
Alexis K, Patrick S, Steffen K, et al. Detection of traumatic bone marrow lesions after knee trauma: Comparison of ADC maps derived from diffusion-weighted imaging with standard fat-saturated proton density-weighted turbo spin-echo sequence[J]. Radiology, 2016, 283(2): 1603-1606.
17
Van Ginckel A, Verdonk P, Witvrouw E. Cartilage adaptation after anterior cruciate ligament injury and reconstruction:implications for clinical management and research? A systematic review of longitudinal MRI studies[J]. Osteoarthritis Cartilage, 2013, 21(8): 1009-1024.
18
He XH, Zhou XH, Gao MY, et al. Feasibility of accelerating MR scanning with simulated modification of partial scanning parameters[J]. Inter J Radiol Med Nuclear Med, 2016, 40(4): 267-271.
19
Hao YH, Pan C, Chen WW, et a1. Evaluation of small-field DWI in the diagnosis of thyroid nodules[J]. Radiol Pract, 2016, 31(8): 704-708.
20
Taviani V, Nagala S, Priest AN, et a1. 3.0 T diffusion-weighted MRI of the thyroid gland with reduced distortion:preliminary results[J]. Br J Radiol, 2013, 86(1028): 20130022. DOI: i01259/bjr20130022.
21
Ling Y, Luo ZC, Ye XL, et al. Clinical application of small field diffusion-weighted imaging in the diagnosis of breast cancer[J]. J Med Imaging, 2020, 30(2): 227-230.
22
Singer L, Wilmes LJ, Saritas EU, et a1. High resolution diffusion weighted magnetic resonance imaging in patients with locally advance breast cancer[J]. Acad Radiol, 2012, 19(5): 526-534.

PREV Value of 3.0 T MR diffusion-weighted imaging and ROC curve in diagnosis of lymph node metastasis in patients with prostate cancer
NEXT Application of a dedicated surface coil in thyroid MRI provides superior image quality
  



Tel & Fax: +8610-67113815    E-mail: editor@cjmri.cn