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Reply to "Letter to the Editor - Critical Omissions Compromise Internal Validity in Jugular Vein Compression Collar Studies". 回复 "致编辑的信--颈静脉压迫颈圈研究中的关键疏漏会影响内部有效性"。
IF 3.3 2区 医学 Q1 RADIOLOGY, NUCLEAR MEDICINE & MEDICAL IMAGING Pub Date : 2024-11-07 DOI: 10.1002/jmri.29652
Candace C Fleischer
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引用次数: 0
Editorial for "Development of a Dual-Plane MRI-Based Deep Learning Model to Assess the 1-Year Postoperative Outcomes in Lumbar Disc Herniation After Tubular Microdiscectomy". 为 "基于双平面 MRI 的深度学习模型的开发,用于评估管状显微椎间盘切除术后腰椎间盘突出症的术后 1 年疗效 "撰写的社论。
IF 3.3 2区 医学 Q1 RADIOLOGY, NUCLEAR MEDICINE & MEDICAL IMAGING Pub Date : 2024-11-05 DOI: 10.1002/jmri.29637
Gerhard S Drenthen, Daniel Uher
{"title":"Editorial for \"Development of a Dual-Plane MRI-Based Deep Learning Model to Assess the 1-Year Postoperative Outcomes in Lumbar Disc Herniation After Tubular Microdiscectomy\".","authors":"Gerhard S Drenthen, Daniel Uher","doi":"10.1002/jmri.29637","DOIUrl":"https://doi.org/10.1002/jmri.29637","url":null,"abstract":"","PeriodicalId":16140,"journal":{"name":"Journal of Magnetic Resonance Imaging","volume":" ","pages":""},"PeriodicalIF":3.3,"publicationDate":"2024-11-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142580997","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Development of a Dual-Plane MRI-Based Deep Learning Model to Assess the 1-Year Postoperative Outcomes in Lumbar Disc Herniation After Tubular Microdiscectomy. 开发基于双平面核磁共振成像的深度学习模型,用于评估腰椎间盘突出症管状显微切除术后一年的术后疗效。
IF 3.3 2区 医学 Q1 RADIOLOGY, NUCLEAR MEDICINE & MEDICAL IMAGING Pub Date : 2024-11-05 DOI: 10.1002/jmri.29639
Kaifeng Wang, Fabin Lin, Zulin Liao, Yongjiang Wang, Tingxin Zhang, Rui Wang

Background: Tubular microdiscectomy (TMD) is a treatment for lumbar disc herniation (LDH). Although the combination of MRI and deep learning (DL) has shown promise, its application in evaluating postoperative outcomes in TMD has not been fully explored.

Purpose/hypothesis: To evaluate whether integrating preoperative dual-plane MRI-based DL features with clinical features can assess 1-year outcomes in TMD for LDH.

Study type: Retrospective.

Population/subjects: The study involved 548 patients who underwent TMD between January 2016 and January 2021. Training set (N = 305, mean age 51.85 ± 13.84 years, 56.4% male). Internal validation set (N = 131, mean age 51.85 ± 13.84 years, 54.2% male). External validation set (N = 112, mean age 51.54 ± 14.43 years, 50.9% male).

Field strength/sequence: 3 T MRI with sagittal and transverse T2-weighted sequences (Fast Spin Echo).

Assessment: Ground truth labels were based on improvement rate in 1-year Japanese Orthopaedic Association (JOA) scores. Information on 42 preoperative clinical features was collected. The largest protrusions were identified from T2 MRI by three clinicians and were used to train deep learning models (ResNet50, ResNet101, and ResNet152) to extract DL features. After feature selection, three models were built, namely, clinical, DL, and combined models.

Statistical tests: Chi-square or Fisher's exact tests was used for group comparisons. Quantitative differences were analyzed using the t-test or Mann-Whitney U test. P-values <0.05 were considered significant. Models were validated on internal and external datasets using metrics such as the area under the curve (AUC).

Results: The AUCs of the clinical models achieved 0.806 (internal) and 0.779 (external). ResNet152 performed best in three DL models, with AUCs of 0.858 (internal) and 0.834 (external). The combined model achieved AUCs of 0.889 (internal) and 0.857 (external).

Data conclusion: A model combining preoperative dual-plane MRI DL features and clinical features can assess 1-year outcomes of TMD for LDH.

Evidence level: 4 TECHNICAL EFFICACY: Stage 2.

背景:管状显微椎间盘切除术(TMD)是腰椎间盘突出症(LDH)的一种治疗方法。虽然核磁共振成像与深度学习(DL)的结合已显示出前景,但其在评估 TMD 术后效果方面的应用尚未得到充分探索:研究类型:回顾性:研究类型:回顾性研究:研究涉及2016年1月至2021年1月期间接受TMD的548名患者。训练集(N = 305,平均年龄为 51.85 ± 13.84 岁,56.4% 为男性)。内部验证集(N = 131,平均年龄(51.85 ± 13.84)岁,男性占 54.2%)。外部验证组(N = 112,平均年龄(51.54 ± 14.43)岁,男性占 50.9%):3 T MRI,矢状和横向 T2 加权序列(快速自旋回波):根据日本骨科协会(JOA)1 年评分的改善率进行地面实况标签。收集了 42 项术前临床特征信息。由三位临床医生从 T2 MRI 中识别出最大的突出物,并用于训练深度学习模型(ResNet50、ResNet101 和 ResNet152)以提取 DL 特征。特征选择后,建立了三个模型,即临床模型、DL 模型和组合模型:组间比较采用卡方检验或费雪精确检验。定量差异采用 t 检验或 Mann-Whitney U 检验。P 值 结果:临床模型的 AUC 分别为 0.806(内部)和 0.779(外部)。ResNet 152 在三个 DL 模型中表现最佳,AUC 分别为 0.858(内部)和 0.834(外部)。综合模型的 AUC 分别为 0.889(内部)和 0.857(外部):数据结论:结合术前双平面 MRI DL 特征和临床特征的模型可评估 TMD 治疗 LDH 的 1 年预后。
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引用次数: 0
Glioblastomas and Temporalis Muscle. 胶质母细胞瘤和颞肌。
IF 3.3 2区 医学 Q1 RADIOLOGY, NUCLEAR MEDICINE & MEDICAL IMAGING Pub Date : 2024-11-05 DOI: 10.1002/jmri.29645
Zezhong Ye, Dan Sun, Joshua S Lin
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引用次数: 0
Editorial for "Longitudinal Evolution of the Brain Microstructure in Cirrhotic Patients on Diffusion Kurtosis Imaging". 肝硬化患者脑微结构纵向演变的弥散峰度成像 "编辑。
IF 3.3 2区 医学 Q1 RADIOLOGY, NUCLEAR MEDICINE & MEDICAL IMAGING Pub Date : 2024-11-02 DOI: 10.1002/jmri.29655
Raffaello Bonacchi, Ermelinda De Meo
{"title":"Editorial for \"Longitudinal Evolution of the Brain Microstructure in Cirrhotic Patients on Diffusion Kurtosis Imaging\".","authors":"Raffaello Bonacchi, Ermelinda De Meo","doi":"10.1002/jmri.29655","DOIUrl":"https://doi.org/10.1002/jmri.29655","url":null,"abstract":"","PeriodicalId":16140,"journal":{"name":"Journal of Magnetic Resonance Imaging","volume":" ","pages":""},"PeriodicalIF":3.3,"publicationDate":"2024-11-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142564307","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Longitudinal Evolution of the Brain Microstructure in Cirrhotic Patients on Diffusion Kurtosis Imaging. 弥散峰度成像显示肝硬化患者大脑微观结构的纵向演变
IF 3.3 2区 医学 Q1 RADIOLOGY, NUCLEAR MEDICINE & MEDICAL IMAGING Pub Date : 2024-11-01 DOI: 10.1002/jmri.29648
Yuan-Yuan Chen, Zi-Ning Lu, Qi Zhang, Yi-Ning Zhang, Wen-Ting Ma, XiaoDi Zhang, Xiao-Dong Zhang, Hong-Yan Ni, Yue Cheng

Background: Although improvement of cognitive function after liver transplantation has been demonstrated in several neuropsychological studies, there is limited research on longitudinal changes in the cirrhotic patients' brain structure before and after transplantation.

Purpose: To investigate longitudinal changes of brain microstructure in cirrhotic patients using diffusion kurtosis imaging (DKI).

Study type: Prospective.

Subjects: A total of 153 cirrhosis patients, comprising 60 hepatic encephalopathy (HE) patients (16 females/44 males) and 93 no-HE patients (35 females/58 males), along with 93 healthy controls (HCs) (53 females/40 males) were enrolled. Subsequently, 58 recipients completed 1-month postoperative follow-up, 29 patients completed 1-, 3-months, and 17 patients completed 1-, 3-, 6-month follow-up.

Sequence: Spin-echo single-shot echo-planar sequence using a 3.0 T scanner.

Assessment: Diffusion kurtosis estimator software was used to estimate the DKI parameter maps by a MR imaging physicist (Y.-Y.C. with 12 years of experience).

Statistical tests: The diffusion metrics (eg, radial kurtosis [RK], mean kurtosis, fractional anisotropy, mean diffusivity) of the patients before transplantation were compared with those of the HCs using voxel-wise analysis of variance (ANOVA), along with t tests for post hoc analysis. Linear mixed-effects models were applied to the longitudinal data. We imposed a cluster level Family Wise Error (FWE) correction rate of PFWE = 0.05 with voxel-wise cutoff of P = 0.001 together with a cluster-size cutoff of N ≥ 56, and generated smoothness estimates from the preprocessed data using the mixed-model autocorrelation function.

Results: The RK metrics of the patients decreased significantly in the anterior cingulate cortex (HE/no-HE < HC, ANOVA-F = 21.91). After transplantation, the RK of the pallidum showed a continuous upward trend (time effect T = 11.26); whereas the RK of the right postcentral gyrus showed a continuous downward trend (time effect T = -9.56). In addition, the RK in superior longitudinal fasciculus showed new-onset decrease after transplantation.

Data conclusion: Longitudinal changes in DKI metrics reveal the course of brain microstructural changes before and after transplantation in cirrhotic patients, potentially associated with cognitive alterations after surgery.

Level of evidence: 1 TECHNICAL EFFICACY: Stage 4.

背景:目的:使用弥散峰度成像(DKI)研究肝硬化患者大脑微观结构的纵向变化:研究类型:前瞻性:共纳入 153 名肝硬化患者,包括 60 名肝性脑病(HE)患者(16 名女性/44 名男性)和 93 名非 HE 患者(35 名女性/58 名男性),以及 93 名健康对照组(HCs)(53 名女性/40 名男性)。随后,58 名受试者完成了术后 1 个月的随访,29 名患者完成了 1、3 个月的随访,17 名患者完成了 1、3、6 个月的随访:自旋回波单发回波平面序列,使用 3.0 T 扫描仪:由一名核磁共振成像物理学家(Y.-Y.C.,有 12 年经验)使用扩散峰度估计软件估计 DKI 参数图:移植前患者的弥散指标(如径向峰度[RK]、平均峰度、分数各向异性、平均弥散度)与 HCs 的弥散指标进行比较,采用方差分析(ANOVA)和 t 检验进行事后分析。线性混合效应模型适用于纵向数据。我们采用了 PFWE = 0.05 的集群水平家族智误(FWE)校正率,以 P = 0.001 作为体素截断点,集群大小截断点为 N ≥ 56,并使用混合模型自相关函数从预处理数据中生成平滑度估计值:结果:在前扣带回皮层,患者的 RK 指标显著下降(HE/no-HE 数据结论:DKI 指标的纵向变化表明,患者的前扣带回皮层的 RK 指标显著下降(HE/no-HE 数据结论):DKI指标的纵向变化揭示了肝硬化患者移植前后大脑微结构变化的过程,可能与术后认知改变有关:1 技术效率:第 4 阶段。
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引用次数: 0
Critical Omissions Compromise Internal Validity in Jugular Vein Compression Collar Studies. 颈静脉压迫颈圈研究中的重大遗漏损害了内部有效性。
IF 3.3 2区 医学 Q1 RADIOLOGY, NUCLEAR MEDICINE & MEDICAL IMAGING Pub Date : 2024-10-31 DOI: 10.1002/jmri.29650
James M Smoliga, Zachary O Binney
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引用次数: 0
Editorial for "Improving Accuracy and Reproducibility of Cartilage T2 Mapping in the OAI Dataset Through Extended Phase Graph Modeling". 通过扩展相位图建模提高 OAI 数据集中软骨 T2 映射的准确性和可重复性》的社论。
IF 3.3 2区 医学 Q1 RADIOLOGY, NUCLEAR MEDICINE & MEDICAL IMAGING Pub Date : 2024-10-30 DOI: 10.1002/jmri.29647
Rong Lu, Kaibo Tang, Weijun Tang
{"title":"Editorial for \"Improving Accuracy and Reproducibility of Cartilage T<sub>2</sub> Mapping in the OAI Dataset Through Extended Phase Graph Modeling\".","authors":"Rong Lu, Kaibo Tang, Weijun Tang","doi":"10.1002/jmri.29647","DOIUrl":"https://doi.org/10.1002/jmri.29647","url":null,"abstract":"","PeriodicalId":16140,"journal":{"name":"Journal of Magnetic Resonance Imaging","volume":" ","pages":""},"PeriodicalIF":3.3,"publicationDate":"2024-10-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142545935","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Editorial for "Repeatability, Reproducibility and Observer Variability of Cortical T1 Mapping for Renal Tissue Characterization". 为 "用于肾组织特征描述的皮质 T1 地图的重复性、再现性和观察者变异性 "撰写的社论。
IF 3.3 2区 医学 Q1 RADIOLOGY, NUCLEAR MEDICINE & MEDICAL IMAGING Pub Date : 2024-10-29 DOI: 10.1002/jmri.29636
Ravikanth Balaji, Reem Al Mazroui, Rashid Al Sukaiti
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引用次数: 0
Editorial for "3D Vortex-Energetics in the Left Pulmonary Artery for Differentiating Pulmonary Arterial Hypertension and Pulmonary Venous Hypertension Groups Using 4D Flow MRI". 为 "利用四维血流磁共振成像区分肺动脉高压和肺静脉高压组的左肺动脉三维涡流能量学 "撰写的社论。
IF 3.3 2区 医学 Q1 RADIOLOGY, NUCLEAR MEDICINE & MEDICAL IMAGING Pub Date : 2024-10-29 DOI: 10.1002/jmri.29642
Liwei Hu, Luguang Chen
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Journal of Magnetic Resonance Imaging
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