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• Technical Article •
Application of head enhanced T1WI sequences based on deep learning reconstruction technology in the transformation of pituitary neuroendocrine neoplasms
WU Huifang  CHEN Xuzhu  ZHANG Mingyu  ZHENG Fenglian  WANG Xiaopeng  FAN Yilong  DING Jinli 

Cite this article as: WU H F, CHEN X Z, ZHANG M Y, et al. Application of head enhanced T1WI sequences based on deep learning reconstruction technology in the transformation of pituitary neuroendocrine neoplasms[J]. Chin J Magn Reson Imaging, 2024, 15(4): 133-138. DOI:10.12015/issn.1674-8034.2024.04.021.


[Abstract] Objective To compare and analyze the imaging quality of head T1WI enhanced sequences based on deep learning reconstruction (DL Recon) and conventional T1WI enhanced sequences in pituitary neuroendocrine tumor lesions.Materials and Methods Fifty patients with pituitary neuroendocrine tumor undergoing enhanced head MRI scan were prospectively collected, and customized T1WI (experimental group) and conventional T1WI (control group) axial scanning were performed after injection of contrast agent. In the experimental group, two sets of images were assigned, the DL-treated images were assigned as group A, the original images without DL treatment were assigned as group B, and the control group was assigned as group C.The signal to noise ratio (SNR) and contrast to noise ratio (CNR) of images in gray matter, white matter and focal area of each group were compared and analyzed, and the overall quality and diagnostic confidence of images were analyzed by two diagnostic physicians.Results The T1WI scanning time (42 s) of the experimental group was shorter than that of the traditional T1WI scanning time (76 s).The SNR gray matter, SNR white matter and SNR lesions in group A were significantly higher than those in groups B and C (P<0.001); CNR gray matter/white matter and CNR lesion/white matter in group A were higher than those in groups B and C (P<0.001); the overall image quality scores of group A (5 vs. 3 and 4) were significantly higher than those of groups B and C (P<0.001), but there was no significant difference in diagnostic confidence (P<0.05).Conclusions In the imaging of pituitary neuroendocrine tumor, the head T1WI enhanced sequence based on DL reconstruction technology has better image quality and the same diagnostic confidence compared with the conventional T1WI enhanced sequence with shorter scanning time.
[Keywords] pituitary neuroendocrine tumor；magnetic resonance imaging；deep learning reconstruction；T1 enhanced imaging

WU Huifang   CHEN Xuzhu   ZHANG Mingyu   ZHENG Fenglian   WANG Xiaopeng   FAN Yilong   DING Jinli*  

Department of Radiology, Beijing Tiantan Hospital Affiliated to Capital Medical University, Beijing 100070, China

Corresponding author: DING J L, E-mail: dingjinli@bjtth.org

Conflicts of interest   None.

Received  2023-11-20
Accepted  2024-04-08
DOI: 10.12015/issn.1674-8034.2024.04.021
Cite this article as: WU H F, CHEN X Z, ZHANG M Y, et al. Application of head enhanced T1WI sequences based on deep learning reconstruction technology in the transformation of pituitary neuroendocrine neoplasms[J]. Chin J Magn Reson Imaging, 2024, 15(4): 133-138. DOI:10.12015/issn.1674-8034.2024.04.021.

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