文献检索文档翻译深度研究
Suppr Zotero 插件Zotero 插件
邀请有礼套餐&价格历史记录

新学期,新优惠

限时优惠:9月1日-9月22日

30天高级会员仅需29元

1天体验卡首发特惠仅需5.99元

了解详情
不再提醒
插件&应用
Suppr Zotero 插件Zotero 插件浏览器插件Mac 客户端Windows 客户端微信小程序
高级版
套餐订阅购买积分包
AI 工具
文献检索文档翻译深度研究
关于我们
关于 Suppr公司介绍联系我们用户协议隐私条款
关注我们

Suppr 超能文献

核心技术专利:CN118964589B侵权必究
粤ICP备2023148730 号-1Suppr @ 2025

Thin-Slice Prostate MRI Enabled by Deep Learning Image Reconstruction.

作者信息

Gassenmaier Sebastian, Warm Verena, Nickel Dominik, Weiland Elisabeth, Herrmann Judith, Almansour Haidara, Wessling Daniel, Afat Saif

机构信息

Department of Diagnostic and Interventional Radiology, Eberhard Karls University Tuebingen, Hoppe-Seyler-Strasse 3, 72076 Tuebingen, Germany.

Institute for Pathology and Neuropathology, University Hospital of Tuebingen, Eberhard Karls University Tuebingen, 72076 Tuebingen, Germany.

出版信息

Cancers (Basel). 2023 Jan 18;15(3):578. doi: 10.3390/cancers15030578.


DOI:10.3390/cancers15030578
PMID:36765539
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC9913660/
Abstract

OBJECTIVES: Thin-slice prostate MRI might be beneficial for prostate cancer diagnostics. However, prolongation of acquisition time is a major drawback of thin-slice imaging. Therefore, the purpose of this study was to investigate the impact of a thin-slice deep learning accelerated T2-weighted (w) TSE imaging sequence (T2) of the prostate as compared to conventional T2w TSE imaging (T2). MATERIALS AND METHODS: Thirty patients were included in this prospective study at one university center after obtaining written informed consent. T2 (3 mm slice thickness) was acquired first in three orthogonal planes followed by thin-slice T2 (2 mm slice thickness) in axial plane. Acquisition time of axial conventional T2 was 4:12 min compared to 4:37 min for T2. Imaging datasets were evaluated by two radiologists using a Likert-scale ranging from 1-4, with 4 being the best regarding the following parameters: sharpness, lesion detectability, artifacts, overall image quality, and diagnostic confidence. Furthermore, preference of T2 versus T2 was evaluated. RESULTS: The mean patient age was 68 ± 8 years. Sharpness of images and lesion detectability were rated better in T2 with a median of 4 versus a median of 3 in T2 ( < 0.001 for both readers). Image noise was evaluated to be significantly worse in T2 as compared to T2 ( < 0.001 and = 0.021, respectively). Overall image quality was also evaluated to be superior in T2 versus T2 with a median of 4 versus 3 ( < 0.001 for both readers). Both readers chose T2 in 29 cases as their preference. CONCLUSIONS: Thin-slice T2 of the prostate provides a significant improvement of image quality without significant prolongation of acquisition time.

摘要
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/b5e7/9913660/61482fa3d98e/cancers-15-00578-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/b5e7/9913660/73724466d483/cancers-15-00578-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/b5e7/9913660/a1cf68c0e492/cancers-15-00578-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/b5e7/9913660/61482fa3d98e/cancers-15-00578-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/b5e7/9913660/73724466d483/cancers-15-00578-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/b5e7/9913660/a1cf68c0e492/cancers-15-00578-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/b5e7/9913660/61482fa3d98e/cancers-15-00578-g003.jpg

相似文献

[1]
Thin-Slice Prostate MRI Enabled by Deep Learning Image Reconstruction.

Cancers (Basel). 2023-1-18

[2]
Accelerated T2-Weighted TSE Imaging of the Prostate Using Deep Learning Image Reconstruction: A Prospective Comparison with Standard T2-Weighted TSE Imaging.

Cancers (Basel). 2021-7-17

[3]
Deep learning-accelerated T2-weighted imaging of the prostate: Reduction of acquisition time and improvement of image quality.

Eur J Radiol. 2021-4

[4]
Comparison of a deep learning-accelerated T2-weighted turbo spin echo sequence and its conventional counterpart for female pelvic MRI: reduced acquisition times and improved image quality.

Insights Imaging. 2022-12-13

[5]
Combined Deep Learning-based Super-Resolution and Partial Fourier Reconstruction for Gradient Echo Sequences in Abdominal MRI at 3 Tesla: Shortening Breath-Hold Time and Improving Image Sharpness and Lesion Conspicuity.

Acad Radiol. 2023-5

[6]
Deep learning-accelerated image reconstruction in back pain-MRI imaging: reduction of acquisition time and improvement of image quality.

Radiol Med. 2024-3

[7]
Utility of accelerated T2-weighted turbo spin-echo imaging with deep learning reconstruction in female pelvic MRI: a multi-reader study.

Eur Radiol. 2023-11

[8]
Comparison of model-based versus deep learning-based image reconstruction for thin-slice T2-weighted spin-echo prostate MRI.

Abdom Radiol (NY). 2024-8

[9]
Feasibility of an accelerated 2D-multi-contrast knee MRI protocol using deep-learning image reconstruction: a prospective intraindividual comparison with a standard MRI protocol.

Eur Radiol. 2022-9

[10]
Deep Learning Reconstruction Enables Highly Accelerated Biparametric MR Imaging of the Prostate.

J Magn Reson Imaging. 2022-7

引用本文的文献

[1]
Prostate MRI Using Deep Learning Reconstruction in Response to Cancer Screening Demands-A Systematic Review and Meta-Analysis.

J Pers Med. 2025-7-2

[2]
Deep Learning-Enhanced T1-Weighted Imaging for Breast MRI at 1.5T.

Diagnostics (Basel). 2025-7-1

[3]
Deep-Learning-Based Reconstruction of Single-Breath-Hold 3 mm HASTE Improves Abdominal Image Quality and Reduces Acquisition Time: A Quantitative Analysis.

Curr Oncol. 2025-1-3

[4]
Ultra-high gradient performance 3-Tesla MRI for super-fast and high-quality prostate imaging: initial experience.

Insights Imaging. 2024-11-29

[5]
Optimizing Image Quality with High-Resolution, Deep-Learning-Based Diffusion-Weighted Imaging in Breast Cancer Patients at 1.5 T.

Diagnostics (Basel). 2024-8-10

[6]
Deep-learning-based reconstruction of T2-weighted magnetic resonance imaging of the prostate accelerated by compressed sensing provides improved image quality at half the acquisition time.

Quant Imaging Med Surg. 2024-5-1

[7]
Deep learning-accelerated image reconstruction in back pain-MRI imaging: reduction of acquisition time and improvement of image quality.

Radiol Med. 2024-3

[8]
Evaluation of Extra-Prostatic Extension on Deep Learning-Reconstructed High-Resolution Thin-Slice T2-Weighted Images in Patients with Prostate Cancer.

Cancers (Basel). 2024-1-18

[9]
Multiparametric Magnetic Resonance Imaging of Penile Cancer: A Pictorial Review.

Cancers (Basel). 2023-11-8

[10]
Development of Deep Learning with RDA U-Net Network for Bladder Cancer Segmentation.

Cancers (Basel). 2023-2-20

本文引用的文献

[1]
Acquisition time reduction of diffusion-weighted liver imaging using deep learning image reconstruction.

Diagn Interv Imaging. 2023-4

[2]
Does artificial intelligence surpass the radiologist?

Diagn Interv Imaging. 2022-10

[3]
Reduction in Acquisition Time and Improvement in Image Quality in T2-Weighted MR Imaging of Musculoskeletal Tumors of the Extremities Using a Novel Deep Learning-Based Reconstruction Technique in a Turbo Spin Echo (TSE) Sequence.

Tomography. 2022-7-6

[4]
Deep learning-based super-resolution gradient echo imaging of the pancreas: Improvement of image quality and reduction of acquisition time.

Diagn Interv Imaging. 2023-2

[5]
Fast T2-weighted liver MRI: Image quality and solid focal lesions conspicuity using a deep learning accelerated single breath-hold HASTE fat-suppressed sequence.

Diagn Interv Imaging. 2022-10

[6]
The future of radiology: What if artificial intelligence is really as good as predicted?

Diagn Interv Imaging. 2022-9

[7]
Feasibility of an accelerated 2D-multi-contrast knee MRI protocol using deep-learning image reconstruction: a prospective intraindividual comparison with a standard MRI protocol.

Eur Radiol. 2022-9

[8]
Deep Learning Applications in Magnetic Resonance Imaging: Has the Future Become Present?

Diagnostics (Basel). 2021-11-24

[9]
Deep Learning Reconstruction Enables Highly Accelerated Biparametric MR Imaging of the Prostate.

J Magn Reson Imaging. 2022-7

[10]
External validation of a commercially available deep learning algorithm for fracture detection in children.

Diagn Interv Imaging. 2022-3

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

推荐工具

医学文档翻译智能文献检索