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• Clinical Article •
The application of three-dimensional T1 weighted imaging for detecting neonatal punctate white matter lesions
SUN Qin-li  ZHANG Yu-miao  GAO Jie  Ning Ning  WANG Miao-miao  LI Yan-yan  LI Huan  YANG Jian 

DOI:10.12015/issn.1674-8034.2018.11.001.


[Abstract] Objective: To compare the different for detecting neonatal punctate white matter lesions between three-dimensional T1 weighted imaging (3D-T1WI) and conventional MRI, diffusion imaging and susceptibility-weighted imaging, and to assess the value of 3D-T1WI sequence in the brain MR examination for neonates.Materials and Methods: Between March 2011 and February 2013, neonates with PWML underwent 3.0 T MRI exam were recruited. The routine protocol included 3D-T1WI, T2 weighted imaging (T2WI), diffusion tensor imaging (DTI) and 3D-enhanced susceptibility-weighted angiography (ESWAN). Reformatted T1WI (4 mm), apparent diffusion coefficient (ADC) map and magnitude image were obtained from 3D-T1WI, DTI and ESWAN, respectively. The numbers of PWML cases and lesions were calculated in all images independently.Results: (1) The number of cases that identified by 3D-T1WI, reformatted T1WI, T2WI, ADC maps and magnitude maps were 84 (100%), 69 (82.14%), 71 (84.52%), 73 (86.90%) and 70 (83.33%), respectively. (2) For 53 cases whose lesions can be counted, the total number of lesions detected by 3D-T1WI, reformatted T1WI, T2WI, ADC maps and magnitude maps were 422, 151, 185, 142 and 152, respectively. There are significant difference of the detectivity of punctate lesions between 3D T1WI and other MRI sequences (P<0.001). Comparing to 3D-T1WI, the detection rate of reformatted T1WI, T2WI, ADC maps and magnitude maps was 35.78% (151/422)、43.84% (185/422)、33.65% (142/422)、36.02% (152/422), respectively.Conclusions: The detection rate of punctate lesions in 3D T1WI is higher than that in other MRI sequences. It is greatly recommended to use 3D T1WI as a routine sequence for neonatal brain MR examination.
[Keywords] Neonate；Punctate white matter lesions；Magnetic resonance imaging

SUN Qin-li Department of Radiology, the First Affiliated Hospital of Xi’an Jiaotong University, Xi'an 710061; Department of Biomedical Engineering, School of Life Science and Technology, Xi'an Jiaotong University, Xi'an 710054, China

ZHANG Yu-miao Department of Radiology, the First Affiliated Hospital of Xi’an Jiaotong University, Xi'an 710061

GAO Jie Department of Radiology, the First Affiliated Hospital of Xi’an Jiaotong University, Xi'an 710061

Ning Ning Department of Radiology, the First Affiliated Hospital of Xi’an Jiaotong University, Xi'an 710061

WANG Miao-miao Department of Radiology, the First Affiliated Hospital of Xi’an Jiaotong University, Xi'an 710061

LI Yan-yan Department of Radiology, the First Affiliated Hospital of Xi’an Jiaotong University, Xi'an 710061

LI Huan Department of Radiology, the First Affiliated Hospital of Xi’an Jiaotong University, Xi'an 710061

YANG Jian* Department of Radiology, the First Affiliated Hospital of Xi’an Jiaotong University, Xi'an 710061; Department of Biomedical Engineering, School of Life Science and Technology, Xi'an Jiaotong University, Xi'an 710054, China

*Correspondence to: Yang J, Email: yj1118@mail.xjtu.edu.cn

Conflicts of interest   None.

ACKNOWLEDGMENTS  This study was supported by the National Key Research and Development Program of China 2016YFC0100300 National Natural Science Foundation of China No. 81471631, 81771810 and 81171317 the 2011 New Century Excellent Talent Support Plan of the Ministry of Education, China NCET-11-0438 Shaanxi Provincial Natural Science Foundation for Youths of China No. 2017JQ8005 the Clinical Research Award of the First Affiliated Hospital of Xi’an Jiaotong University. No. XJTU1AF-CRF-2015-004 the Youth Innovation Fund No. 2011YK.19
Received  2018-06-29
DOI: 10.12015/issn.1674-8034.2018.11.001
DOI:10.12015/issn.1674-8034.2018.11.001.

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