Deep learning-accelerated T2WI: image quality, efficiency, and staging performance against BLADE T2WI for gastric cancer.

Purpose: The purpose of our study is to investigate image quality, efficiency, and diagnostic performance of a deep learning-accelerated single-shot breath-hold (DLSB) against BLADE for T2-weighted MR imaging (T2WI) for gastric cancer (GC). Methods: 112 patients with GCs undergoing gastric MRI were...

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Publicado en:Abdominal Radiology Vol. 49; no. 8; pp. 2574 - 2585
Autores principales: Li, Qiong, Xu, Wei-Yue, Sun, Na-Na, Feng, Qiu-Xia, Hou, Ya-Jun, Sang, Zi-Tong, Zhu, Zhen-Ning, Hsu, Yi-Cheng, Nickel, Dominik, Xu, Hao, Zhang, Yu-Dong, Liu, Xi-Sheng
Formato: Journal Article
Publicado: Springer Nature Aug2024
Acceso en línea:Ver este registro en EBSCOhost
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      dt: Aug2024
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      pub: Springer Nature
      place: New York, New York
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        10.1007/s00261-024-04323-7
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        atl: Deep learning-accelerated T2WI: image quality, efficiency, and staging performance against BLADE T2WI for gastric cancer.
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          Li, Qiong
          Xu, Wei-Yue
          Sun, Na-Na
          Feng, Qiu-Xia
          Hou, Ya-Jun
          Sang, Zi-Tong
          Zhu, Zhen-Ning
          Hsu, Yi-Cheng
          Nickel, Dominik
          Xu, Hao
          Zhang, Yu-Dong
          Liu, Xi-Sheng
        affil: https://ror.org/04py1g812 Department of Radiology, The First Affiliated Hospital of Nanjing Medical University, Nanjing, China
      sug:
      ab: Purpose: The purpose of our study is to investigate image quality, efficiency, and diagnostic performance of a deep learning-accelerated single-shot breath-hold (DLSB) against BLADE for T2-weighted MR imaging (T2WI) for gastric cancer (GC). Methods: 112 patients with GCs undergoing gastric MRI were prospectively enrolled between Aug 2022 and Dec 2022. Axial DLSB-T2WI and BLADE-T2WI of stomach were scanned with same spatial resolution. Three radiologists independently evaluated the image qualities using a 5-scale Likert scales (IQS) in terms of lesion delineation, gastric wall boundary conspicuity, and overall image quality. Signal-to-noise ratio (SNR) and contrast-to-noise ratio (CNR) were calculated in measurable lesions. T staging was conducted based on the results of both sequences for GC patients with gastrectomy. Pairwise comparisons between DLSB-T2WI and BLADE-T2WI were performed using the Wilcoxon signed-rank test, paired t-test, and chi-squared test. Kendall's W, Fleiss' Kappa, and intraclass correlation coefficient values were used to determine inter-reader reliability. Results: Against BLADE, DLSB reduced total acquisition time of T2WI from 495 min (mean 4:42 per patient) to 33.6 min (18 s per patient), with better overall image quality that produced 9.43-fold, 8.00-fold, and 18.31-fold IQS upgrading against BALDE, respectively, in three readers. In 69 measurable lesions, DLSB-T2WI had higher mean SNR and higher CNR than BLADE-T2WI. Among 71 patients with gastrectomy, DLSB-T2WI resulted in comparable accuracy to BLADE-T2WI in staging GCs (P > 0.05). Conclusions: DLSB-T2WI demonstrated shorter acquisition time, better image quality, and comparable staging accuracy, which could be an alternative to BLADE-T2WI for gastric cancer imaging.
      pubtype: Academic Journal
      doctype: Journal Article
      ougenre: Article
    language: English
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