{"title":"Correlation of White Matter Microstructure MRI and Inflammatory Cytokine Alterations With Symptom Severity in Premenstrual Syndrome.","authors":"Gaoxiong Duan, Haixia Qin, YinQi Lai, Qingping Zhang, Ziyan Lai, Ya Chen, Yuejuan Wu, Zhen Liu, Kaixuan Zhou, Yan Zhang, Shanshan Li, Shihuan Lin, Ruijing Sun, Yuanyuan Ou, Xiaoli Liang, Lingyan Liang, Zhizhong Chen, Demao Deng","doi":"10.1002/jmri.29632","DOIUrl":"https://doi.org/10.1002/jmri.29632","url":null,"abstract":"<p><strong>Background: </strong>Women with premenstrual syndrome (PMS) are at increased risk for depression throughout their lives. White matter (WM) microstructure and inflammatory cytokine alterations have been proposed in its etiology.</p><p><strong>Purpose: </strong>To investigate whether WM, assessed using diffusion tensor imaging (DTI), and inflammatory cytokine levels are altered in PMS, and to examine the relationships between WM microstructure, inflammatory cytokines, and symptom severity.</p><p><strong>Study type: </strong>Prospective.</p><p><strong>Subjects: </strong>Forty-two PMS patients and 58 healthy controls (HCs), categorized according to the daily record of severity of problems (DRSP).</p><p><strong>Field strength/sequence: </strong>3-T, echo planar imaging DTI.</p><p><strong>Assessment: </strong>Fractional anisotropy (FA), mean diffusivity (MD), axial diffusivity (AD), and radial diffusivity (RD) were measured by using tract-based spatial statistics (TBSS). Venous blood was collected to measure cytokines, including interleukin-1β (IL-1β) and tumor necrosis factor-α (TNF-α). Symptoms were assessed by using the DRSP.</p><p><strong>Statistical tests: </strong>Two-sample t test or Mann-Whitney U test were used to compare the DRSP and cytokines. Abnormal DTI metrics in WM were extracted and the differences between groups were analyzed by using two sample t-tests. Spearman's correlation (r) was used to assess the relationship between DTI metrics, cytokines, and DRSP. A P-value <0.05 with FDR correction was considered statistically significant.</p><p><strong>Results: </strong>Compared with HCs, PMS patients showed significantly lower FA in the corpus callosum and corona radiata, and significantly higher MD, AD, and RD in the corticospinal tract (CST), and significantly higher MD and RD in the anterior thalamic radiation (ATR). These differential metrics were significantly correlated with DRSP. Patients showed significantly higher IL-1β and TNF-α than HCs. Moreover, TNF-α correlated positively with MD, AD, and RD in both groups (r range, 0.256-0.315).</p><p><strong>Data conclusion: </strong>Alterations of WM microstructure and IL-1β and TNF-α may be associated with PMS symptom severity, and TNF-α may correlate with DTI metrics of CST and ATR pathways.</p><p><strong>Evidence level: </strong>1 TECHNICAL EFFICACY: Stage 2.</p>","PeriodicalId":16140,"journal":{"name":"Journal of Magnetic Resonance Imaging","volume":" ","pages":""},"PeriodicalIF":3.3,"publicationDate":"2024-10-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142502150","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}
Abdullah S Bdaiwi, Matthew M Willmering, Jason C Woods, Laura L Walkup, Zackary I Cleveland
{"title":"Quantifying Spatial Distribution of Ventilation Defects in Multiple Pulmonary Diseases With Hyperpolarized <sup>129</sup>Xenon MRI.","authors":"Abdullah S Bdaiwi, Matthew M Willmering, Jason C Woods, Laura L Walkup, Zackary I Cleveland","doi":"10.1002/jmri.29627","DOIUrl":"10.1002/jmri.29627","url":null,"abstract":"<p><strong>Background: </strong>Hyperpolarized <sup>129</sup>Xe MRI assesses lung ventilation, often using the ventilation defect percentage (VDP). Unlike VDP, defect distribution index (DDI) quantifies spatial clustering of defects.</p><p><strong>Purpose: </strong>To quantify spatial distribution of <sup>129</sup>Xe ventilation defects using DDI across pulmonary diseases.</p><p><strong>Study type: </strong>Retrospective.</p><p><strong>Subjects: </strong>Four hundred twenty-one subjects (age = 23.1 ± 17.1, female = 230), comprising healthy controls (N = 60) and subjects with obstructive conditions (asthma [N = 25], bronchiolitis obliterans syndrome [BOS, N = 18], cystic fibrosis [CF, N = 90], lymphangioleiomyomatosis [LAM, N = 50]), restrictive conditions (bleomycin-treated cancer survivors [BLEO, N = 14]; fibrotic lung diseases [FLD, N = 92]), bone marrow transplantation (BMT, N = 53), and bronchopulmonary dysplasia (BPD, N = 19).</p><p><strong>Field strength/sequence: </strong>3 T, two-dimensional multi-slice gradient echo.</p><p><strong>Assessment: </strong>Whole-lung mean DDI was extracted from DDI maps; correlated with VDP (percent of pixels <60% of whole-lung mean signal intensity) and pulmonary function tests (PFTs) including FEV<sub>1</sub>, FVC, and FEV<sub>1</sub>/FVC. DDI and DDI/VDP, a marker of defect clustering, were compared across diseases.</p><p><strong>Statistical tests: </strong>Pearson correlation analysis and Kruskal-Wallis tests. P < 0.0056 for disease groups, P < 0.0125 for categories.</p><p><strong>Results: </strong>DDI was significantly elevated in BMT (8.3 ± 11.5), BOS (30.1 ± 57.5), BPD (16.0 ± 46.8), CF (15.4 ± 27.2), and LAM (12.6 ± 34.2) compared to controls (1.8 ± 3.1). DDI correlated significantly with VDP in all groups (r ≥ 0.56) except BLEO, and with PFTs in CF, FLD, and LAM (r ≥ 0.56). Obstructive groups had significantly higher mean DDI (14.0 ± 32.0) than controls (1.8 ± 3.0) and restrictive groups (4.0 ± 12.0). DDI/VDP was significantly lower in the restrictive group (0.6 ± 0.6) than controls (0.8 ± 0.6) and obstructive group (1.0 ± 1.0).</p><p><strong>Data conclusion: </strong>DDI may provide insights into the distribution of ventilation defects across diseases.</p><p><strong>Evidence level: </strong>3 TECHNICAL EFFICACY: Stage 2.</p>","PeriodicalId":16140,"journal":{"name":"Journal of Magnetic Resonance Imaging","volume":" ","pages":""},"PeriodicalIF":3.3,"publicationDate":"2024-10-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142467575","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}
{"title":"Editorial for \"Quantifying Spatial Distribution of Ventilation Defects in Multiple Pulmonary Diseases With Hyperpolarized <sup>129</sup>Xenon MRI\".","authors":"Marion Curdy, Elisabeth Kieninger, Philipp Latzin","doi":"10.1002/jmri.29629","DOIUrl":"https://doi.org/10.1002/jmri.29629","url":null,"abstract":"","PeriodicalId":16140,"journal":{"name":"Journal of Magnetic Resonance Imaging","volume":" ","pages":""},"PeriodicalIF":3.3,"publicationDate":"2024-10-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142467574","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}
Ghazal Zandieh, Shadi Afyouni, Yoko Kato, Jaclyn Sesso, Jason Ortman, Karen Bandeen-Roche, Jeremy Walston, Joao A C Lima, Bharath Ambale-Venkatesh
{"title":"Whole-Body MRI for Assessment of Physical Frailty.","authors":"Ghazal Zandieh, Shadi Afyouni, Yoko Kato, Jaclyn Sesso, Jason Ortman, Karen Bandeen-Roche, Jeremy Walston, Joao A C Lima, Bharath Ambale-Venkatesh","doi":"10.1002/jmri.29630","DOIUrl":"https://doi.org/10.1002/jmri.29630","url":null,"abstract":"","PeriodicalId":16140,"journal":{"name":"Journal of Magnetic Resonance Imaging","volume":" ","pages":""},"PeriodicalIF":3.3,"publicationDate":"2024-10-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142467577","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}
Changmok Lim, Hunwoo Lee, Yeonsil Moon, Seol-Heui Han, Hee Jin Kim, Hyun Woo Chung, Won-Jin Moon
{"title":"Volume and Permeability of White Matter Hyperintensity on Cognition: A DCE Imaging Study of an Older Cohort With and Without Cognitive Impairment.","authors":"Changmok Lim, Hunwoo Lee, Yeonsil Moon, Seol-Heui Han, Hee Jin Kim, Hyun Woo Chung, Won-Jin Moon","doi":"10.1002/jmri.29631","DOIUrl":"https://doi.org/10.1002/jmri.29631","url":null,"abstract":"<p><strong>Background: </strong>The impact of blood-brain barrier (BBB) leakage on white matter hyperintensity (WMH) subtypes (location) and its association with clinical factors and cognition remains unclear.</p><p><strong>Purpose: </strong>To investigate the relationship between WMH volume, permeability, clinical factors, and cognition in older individuals across the cognitive spectrum.</p><p><strong>Study type: </strong>Prospective, cross-sectional.</p><p><strong>Subjects: </strong>A total of 193 older adults with/without cognitive impairment; 128 females; mean age 70.1 years (standard deviation 6.8).</p><p><strong>Field strength/sequence: </strong>3 T, GE Dynamic contrast-enhanced, three-dimensional (3D) Magnetization-prepared rapid gradient-echo (MPRAGE T1WI), 3D fluid-attenuated inversion recovery (FLAIR).</p><p><strong>Assessment: </strong>Periventricular WMH (PWMH), deep WMH (DWMH), and normal-appearing white matter (NAWM) were segmented using FMRIB automatic segmentation tool algorithms on 3D FLAIR. Hippocampal volume and cortex volume were segmented on 3D T1WI. BBB permeability (Ktrans) and blood plasma volume (Vp) were determined using the Patlak model. Vascular risk factors and cognition were assessed.</p><p><strong>Statistical tests: </strong>Univariate and multivariate analyses were performed to identify factors associated with WMH permeability. Logistic regression analysis assessed the association between WMH imaging features and cognition, adjusting for age, sex, apolipoprotein E4 status, education, and brain volumes. A P-value <0.05 was considered significant.</p><p><strong>Results: </strong>PWMH exhibited higher Ktrans (0.598 ± 0.509 × 10<sup>-3</sup> minute<sup>-1</sup>) compared to DWMH (0.496 ± 0.478 × 10<sup>-3</sup> minute<sup>-1</sup>) and NAWM (0.476 ± 0.398 × 10<sup>-3</sup> minute<sup>-1</sup>). Smaller PWMH volume and cardiovascular disease (CVD) history were significantly associated with higher Ktrans in PWMH. In DWMH, higher Ktrans were associated with CVD history and cortical volume. In NAWM, it was linked to CVD history and dyslipidemia. Larger PWMH volume (odds ratio [OR] 1.106, confidence interval [CI]: 1.021-1.197) and smaller hippocampal volume (OR 0.069; CI: 0.019-0.253) were independently linked to worse global cognition after covariate adjustment.</p><p><strong>Data conclusion: </strong>Elevated BBB leakage in PWMH was associated with lower PWMH volume and prior CVD history. Notably, PWMH volume, rather than permeability, was correlated with cognitive decline, suggesting that BBB leakage in WMH may be a consequence of CVD rather than indicate disease progression.</p><p><strong>Level of evidence: </strong>2 TECHNICAL EFFICACY: Stage 3.</p>","PeriodicalId":16140,"journal":{"name":"Journal of Magnetic Resonance Imaging","volume":" ","pages":""},"PeriodicalIF":3.3,"publicationDate":"2024-10-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142467576","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}
Jiaxin Xiao MS, Cong Sun MD, Ruike Chen BS, Zhiyong Zhao PhD, Guangbin Wang PhD, Dan Wu PhD
{"title":"Reproducibility of Diffusion MRI-Based Tractography in the Fetal Brain","authors":"Jiaxin Xiao MS, Cong Sun MD, Ruike Chen BS, Zhiyong Zhao PhD, Guangbin Wang PhD, Dan Wu PhD","doi":"10.1002/jmri.29626","DOIUrl":"https://doi.org/10.1002/jmri.29626","url":null,"abstract":"<p>Degree of Overlapped Tracts between Repeated Scans at Three GA Stages (25, 30, and 35 Weeks). Four Fiber Tracts with Significant GA Dependence in WDSC were Displayed, Each in a Representative Subject with Median WDSC of the Corresponding GA Stage. The Blue Shadings Show the Difference among Two Repeated Scans. The Warm-Colored Shadings Show the Intersection between Two Repeated Scans, Colored by the Median of WDSC Value within the GA Group. (a-d) The Reproducibility for ATR, ILF, GCC, and BCC, Respectively. The Results Indicated that WDSC Values for the Four Fiber Tracts were Higher During Early Gestational Ages (≤30 Weeks). ATR, Anterior Thalamic Radiation; ILF, Inferior Longitudinal Fasciculus; GCC, Genu of the Corpus Callosum; BCC, Body of the Corpus Callosum. By et al. (2055-2062)\u0000\u0000 <figure>\u0000 <div><picture>\u0000 <source></source></picture><p></p>\u0000 </div>\u0000 </figure>\u0000 </p>","PeriodicalId":16140,"journal":{"name":"Journal of Magnetic Resonance Imaging","volume":"60 5","pages":"spcone"},"PeriodicalIF":3.3,"publicationDate":"2024-10-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1002/jmri.29626","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142429740","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Young Investigator Awards Winners","authors":"","doi":"10.1002/jmri.29506","DOIUrl":"https://doi.org/10.1002/jmri.29506","url":null,"abstract":"","PeriodicalId":16140,"journal":{"name":"Journal of Magnetic Resonance Imaging","volume":"60 5","pages":"2240-2242"},"PeriodicalIF":3.3,"publicationDate":"2024-10-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142429742","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}
James C Thorpe, Stefanie C Thust, Claire H M Gillon, Selene Rowe, Charlotte E Swain, Donald C MacArthur, Simon P Howarth, Shivaram Avula, Paul S Morgan, Rob A Dineen
{"title":"Comparison of Echo Planar and Turbo Spin Echo Diffusion-Weighted Imaging in Intraoperative MRI.","authors":"James C Thorpe, Stefanie C Thust, Claire H M Gillon, Selene Rowe, Charlotte E Swain, Donald C MacArthur, Simon P Howarth, Shivaram Avula, Paul S Morgan, Rob A Dineen","doi":"10.1002/jmri.29614","DOIUrl":"https://doi.org/10.1002/jmri.29614","url":null,"abstract":"<p><strong>Background: </strong>Diffusion-weighted imaging (DWI) is routinely used in brain tumor surgery guided by intraoperative MRI (IoMRI). However, conventional echo planar imaging DWI (EPI-DWI) is susceptible to distortion and artifacts that affect image quality. Turbo spin echo DWI (TSE-DWI) is an alternative technique with minimal spatial distortions that has the potential to be the radiologically preferred sequence.</p><p><strong>Purpose: </strong>To compare via single- and multisequence assessment EPI-DWI and TSE-DWI in the IoMRI setting to determine whether there is a radiological preference for either sequence.</p><p><strong>Study type: </strong>Retrospective.</p><p><strong>Population: </strong>Thirty-four patients (22 female) aged 2-61 years (24 under 18 years) undergoing IoMRI during surgical resection of intracranial tumors.</p><p><strong>Field strength/sequence: </strong>3-T, EPI-DWI, and TSE-DWI.</p><p><strong>Assessment: </strong>Patients were scanned with EPI- and TSE-DWI as part of the standard IoMRI scanning protocol. A single-sequence assessment of spatial distortion and image artifact was performed by three neuroradiologists blinded to the sequence type. Images were scored regarding distortion and artifacts, around and remote to the resection cavity. A multisequence radiological assessment was performed by three neuroradiologists in full radiological context including all other IoMRI sequences from each case. The DWI images were directly compared with scorings of the radiologists on which they preferred with respect to anatomy, abnormality, artifact, and overall preference.</p><p><strong>Statistical tests: </strong>Wilcoxon signed-rank tests for single-sequence assessment, weighted kappa for single and multisequence assessment. A P-value <0.001 was considered statistically significant.</p><p><strong>Results: </strong>For the blinded single-sequence assessment, the TSE-DWI sequence was scored equal to or superior to the EPI-DWI sequence for distortion and artifacts, around and remote to the resection cavity for every case. In the multisequence assessment, all radiologists independently expressed a preference for TSE-DWI over EPI-DWI sequences on viewing brain anatomy, abnormalities, and artifacts.</p><p><strong>Data conclusion: </strong>The TSE-DWI sequences may be favored over EPI-DWI for IoMRI in patients with intracranial tumors.</p><p><strong>Level of evidence: </strong>2 TECHNICAL EFFICACY: Stage 5.</p>","PeriodicalId":16140,"journal":{"name":"Journal of Magnetic Resonance Imaging","volume":" ","pages":""},"PeriodicalIF":3.3,"publicationDate":"2024-10-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142400492","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}
{"title":"Editorial for \"Comparison of Echo Planar and Turbo Spin Echo Diffusion-Weighted Imaging in Intraoperative MRI\".","authors":"Daniel Lewis","doi":"10.1002/jmri.29622","DOIUrl":"https://doi.org/10.1002/jmri.29622","url":null,"abstract":"","PeriodicalId":16140,"journal":{"name":"Journal of Magnetic Resonance Imaging","volume":" ","pages":""},"PeriodicalIF":3.3,"publicationDate":"2024-10-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142400493","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}
{"title":"Editorial for \"Early Detection of Myocardial Involvement in Thalassemia Intermedia Patients: Multiparametric Mapping by Magnetic Resonance Imaging\".","authors":"Yun Zhao, Lian-Ming Wu","doi":"10.1002/jmri.29628","DOIUrl":"https://doi.org/10.1002/jmri.29628","url":null,"abstract":"","PeriodicalId":16140,"journal":{"name":"Journal of Magnetic Resonance Imaging","volume":" ","pages":""},"PeriodicalIF":3.3,"publicationDate":"2024-10-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142381007","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}