Deep learning reconstruction for temporomandibular joint MRI: diagnostic interchangeability, image quality, and scan time reduction.

IF 4.7 2区 医学 Q1 RADIOLOGY, NUCLEAR MEDICINE & MEDICAL IMAGING
Gyu-Dong Jo, Kug Jin Jeon, Yoon Joo Choi, Chena Lee, Sang-Sun Han
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引用次数: 0

Abstract

Objectives: To evaluate the diagnostic interchangeability, image quality, and scan time of deep learning (DL)-reconstructed magnetic resonance imaging (MRI) compared with conventional MRI for the temporomandibular joint (TMJ).

Materials and methods: Patients with suspected TMJ disorder underwent sagittal proton density-weighted (PDW) and T2-weighted fat-suppressed (T2W FS) MRI using both conventional and DL reconstruction protocols in a single session. Three oral radiologists independently assessed disc shape, disc position, and joint effusion. Diagnostic interchangeability for these findings was evaluated by comparing interobserver agreement, with equivalence defined as a 95% confidence interval (CI) within ±5%. Qualitative image quality (sharpness, noise, artifacts, overall) was rated on a 5-point scale. Quantitative image quality was assessed by measuring the signal-to-noise ratio (SNR) and contrast-to-noise ratio (CNR) in the condyle, disc, and background air. Image quality scores were compared using the Wilcoxon signed-rank test, and SNR/CNR using paired t-tests. Scan times were directly compared.

Results: A total of 176 TMJs from 88 patients (mean age, 37 ± 16 years; 43 men) were analyzed. DL-reconstructed MRI demonstrated diagnostic equivalence to conventional MRI for disc shape, position, and effusion (equivalence indices < 3%; 95% CIs within ±5%). DL reconstruction significantly reduced noise in PDW and T2W FS sequences (p < 0.05) while maintaining sharpness and artifact levels. SNR and CNR were significantly improved (p < 0.05), except for disc SNR in PDW (p = 0.189). Scan time was reduced by 49.2%.

Conclusion: DL-reconstructed TMJ MRI is diagnostically interchangeable with conventional MRI, offering improved image quality with a shorter scan time.

Key points: Question Long MRI scan times in patients with temporomandibular disorders can increase pain and motion-related artifacts, often compromising image quality in diagnostic settings. Findings DL reconstruction is diagnostically interchangeable with conventional MRI for assessing disc shape, disc position, and effusion, while improving image quality and reducing scan time. Clinical relevance DL reconstruction enables faster and more tolerable TMJ MRI workflows without compromising diagnostic accuracy, facilitating broader adoption in clinical settings where long scan times and motion artifacts often limit diagnostic efficiency.

颞下颌关节MRI的深度学习重建:诊断互换性、图像质量和扫描时间减少。
目的:比较深度学习(DL)重建磁共振成像(MRI)与常规MRI对颞下颌关节(TMJ)的诊断互换性、图像质量和扫描时间。材料和方法:怀疑TMJ疾病的患者在一次治疗中使用常规和DL重建方案进行矢状面质子密度加权(PDW)和t2加权脂肪抑制(T2W FS) MRI。三位口腔放射科医师独立评估椎间盘形状、椎间盘位置和关节积液。通过比较观察者间的一致性来评估这些结果的诊断互换性,等效性定义为95%置信区间(CI)在±5%以内。定性图像质量(清晰度、噪点、伪影、总体)以5分制进行评分。通过测量髁突、椎间盘和背景空气的信噪比(SNR)和对比噪声比(CNR)来定量评估图像质量。使用Wilcoxon符号秩检验比较图像质量分数,使用配对t检验比较信噪比/信噪比。直接比较扫描时间。结果:共分析88例患者176例TMJs,平均年龄37±16岁,男性43例。结论:dl重建TMJ MRI与传统MRI在椎间盘形状、位置、积液等诊断指标上具有可互换性,可在较短的扫描时间内提高图像质量。颞下颌疾病患者的长时间MRI扫描会增加疼痛和运动相关的伪影,通常会影响诊断环境中的图像质量。DL重建在诊断上可与常规MRI互换,用于评估椎间盘形状,椎间盘位置和积液,同时提高图像质量并缩短扫描时间。临床相关性DL重建能够在不影响诊断准确性的情况下实现更快、更可容忍的TMJ MRI工作流程,从而在长扫描时间和运动伪影通常限制诊断效率的临床环境中促进更广泛的应用。
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来源期刊
European Radiology
European Radiology 医学-核医学
CiteScore
11.60
自引率
8.50%
发文量
874
审稿时长
2-4 weeks
期刊介绍: European Radiology (ER) continuously updates scientific knowledge in radiology by publication of strong original articles and state-of-the-art reviews written by leading radiologists. A well balanced combination of review articles, original papers, short communications from European radiological congresses and information on society matters makes ER an indispensable source for current information in this field. This is the Journal of the European Society of Radiology, and the official journal of a number of societies. From 2004-2008 supplements to European Radiology were published under its companion, European Radiology Supplements, ISSN 1613-3749.
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