Magnetic resonance imaging最新文献

{"title":"Log-Cholesky filtering of diffusion tensor fields: Impact on noise reduction","authors":"Somaye Jabari ,&nbsp;Amin Ghodousian ,&nbsp;Reza Lashgari ,&nbsp;Hamidreza Saligheh Rad ,&nbsp;Babak A. Ardekani","doi":"10.1016/j.mri.2024.110245","DOIUrl":"10.1016/j.mri.2024.110245","url":null,"abstract":"<div><div>Diffusion tensor imaging (DTI) is a powerful neuroimaging technique that provides valuable insights into the microstructure and connectivity of the brain. By measuring the diffusion of water molecules along neuronal fibers, DTI allows the visualization and study of intricate networks of neural pathways.</div><div>DTI is a noise-sensitive method, where a low signal-to-noise ratio (SNR) results in significant errors in the estimated tensor field. Tensor field regularization is an effective solution for noise reduction.</div><div>Diffusion tensors are represented by symmetric positive-definite (SPD) matrices. The space of SPD matrices may be viewed as a Riemannian manifold after defining a suitable metric on its tangent bundle. The Log-Cholesky metric is a recently developed concept with advantages over previously defined Riemannian metrics, such as the affine-invariant and Log-Euclidean metrics. The utility of the Log-Cholesky metric for tensor field regularization and noise reduction has not been investigated in detail.</div><div>This manuscript provides a quantitative investigation of the impact of Log-Cholesky filtering on noise reduction in DTI. It also provides sufficient details of the linear algebra and abstract differential geometry concepts necessary to implement this technique as a simple and effective solution to filtering diffusion tensor fields.</div></div>","PeriodicalId":18165,"journal":{"name":"Magnetic resonance imaging","volume":"114 ","pages":"Article 110245"},"PeriodicalIF":2.1,"publicationDate":"2024-10-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142378019","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Early detection of myocardial iron overload in patients with β-thalassemia major using cardiac magnetic resonance T1 mapping","authors":"Omar Mourad Hassan Zaki Selim ,&nbsp;Ahmed Samir Abdel Hakim Ibrahim ,&nbsp;Nihal Hussien Aly ,&nbsp;Sherif Nabil Abbas Hegazy ,&nbsp;Fatma Soliman Elsayed Ebeid","doi":"10.1016/j.mri.2024.110250","DOIUrl":"10.1016/j.mri.2024.110250","url":null,"abstract":"<div><h3>Background</h3><div>The T2* technique, used for quantifying myocardial iron content (MIC), has limitations in detecting early myocardial iron overload (MIO). The in vivo mapping of the myocardial T1 relaxation time is a promising alternative for the early detection and management of MIO.</div></div><div><h3>Methods</h3><div>32 β-thalassemia major (βTM) patients aged 11.5 ± 4 years and 32 healthy controls were recruited and underwent thorough clinical and laboratory assessments. The mid-level septal iron overload was measured through T1 mapping using a modified Look-Locker inversion recovery sequence with a 3 (3 s) 3 (3 s) 5 scheme. Septum was divided at the mentioned level into 3 zones corresponding to segments 8 and 9 in the cardiac segmentation model.</div></div><div><h3>Results</h3><div>21.9 % of βTM had clinical cardiac morbidity. The cut-off of T1 mapping of hepatic and myocardium to differentiate between the patients and control groups was ≤466 and ≥ 923 ms respectively. The T1 technique was able to detect 4 patients with high MIC, two of them were not detected by the T2* technique. There was a statistically significant correlation between the average T1 values of the studied zones in patients with βTM and the liver iron content (LIC), the T1 values within segment 8 of the liver, age of patients, the age at first transfusion, age of splenectomy and serum ferritin value.</div></div><div><h3>Conclusion</h3><div>The addition of the T1 mapping sequence to the conventional T2* technique was able to increase the efficacy of the MIC detection protocol by earlier detection of MIO. This would guide chelation therapy to decrease myocardial morbidity.</div></div>","PeriodicalId":18165,"journal":{"name":"Magnetic resonance imaging","volume":"114 ","pages":"Article 110250"},"PeriodicalIF":2.1,"publicationDate":"2024-10-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142378017","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Evaluating T1-weighted MRI techniques for fetal gastrointestinal diagnostics: A comparative study","authors":"Yijia Zeng ,&nbsp;Runtong Zhang ,&nbsp;Qing Wang ,&nbsp;Jingzhen He ,&nbsp;Dexin Yu ,&nbsp;Guowei Tao ,&nbsp;Jiaxiang Xin ,&nbsp;Lei Xue ,&nbsp;Meng Zhao","doi":"10.1016/j.mri.2024.110242","DOIUrl":"10.1016/j.mri.2024.110242","url":null,"abstract":"<div><h3>Purpose</h3><div>In clinical practice, fetal gastrointestinal magnetic resonance imaging (MRI) encounters significant challenges. T1-weighted images are particularly susceptible to the effects of fetal and maternal movements compared to other weighted images, complicating the acquisition of satisfactory results. This study aimed to compare three fast 3D-T1 weighted gradient echo (GRE) sequences—free-breathing stack-of-stars VIBE (STAR-VIBE), breath-hold VIBE (BH-VIBE), and free-breathing multi-average VIBE (MA-VIBE)—for fetal gastrointestinal MRI in fetuses with both normal and abnormal gastrointestinal tracts between 21 and 36 weeks of gestation.</div></div><div><h3>Methods</h3><div>This study enrolled 67 pregnant women who underwent fetal abdominal MRI at our hospital between October 2022 and October 2023, during their gestational period of 21–36 weeks. Among these participants, 22 were suspected of having fetal gastrointestinal anomalies based on ultrasound findings, while the remaining 45 were considered to have normal fetal gastrointestinal development. All subjects underwent True fast imaging with steady-state precession sequence scanning along with three T1-weighted imaging techniques on a Siemens 1.5-T Aera scanner: STAR-VIBE, BH-VIBE, and MA-VIBE. Two radiologists evaluated image quality, intestinal clarity, and lesion conspicuity using a five-point scale where higher scores indicated superior performance for each technique; they were blinded to the acquisition schemes used. Interobserver variability assessments were also conducted.</div></div><div><h3>Results</h3><div>The free-breathing MA-VIBE sequence demonstrated significantly better performance than both STAR-VIBE and BH-VIBE in terms of fetal gastrointestinal MRI quality (3.81 ± 0.40 vs. 3.35 ± 0.70 vs. 2.90 ± 0.64; <em>p</em> &lt; .05). The STAR-VIBE and BH-VIBE sequences exhibited moderate consistency (kappa = 0.586 and kappa = 0.527 respectively; <em>P</em> &lt; .05), whereas the MA-VIBE sequence showed higher consistency (kappa = 0.712; P &lt; .05).</div></div><div><h3>Conclusion</h3><div>The free-breathing MA-VIBE sequence provided superior visualization for assessing fetal intestinal conditions compared to other methods employed in this study. On a 1.5 T MRI device, T1-weighted images based on the free-breathing MA-VIBE sequence can effectively overcome motion artifacts and compensate for the reduced signal-to-noise ratio caused by the application of acceleration techniques, thus significantly improving the quality of T1-weighted images.</div></div>","PeriodicalId":18165,"journal":{"name":"Magnetic resonance imaging","volume":"114 ","pages":"Article 110242"},"PeriodicalIF":2.1,"publicationDate":"2024-10-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142378018","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Optimization of 3D imaging time reduction by assessing spatial resolution in the slice selective direction using the ladder method","authors":"Tomokazu Takeuchi ,&nbsp;Norio Hayashi ,&nbsp;Kouichi Ujita ,&nbsp;Yusuke Sato ,&nbsp;Ayako Taketomi-Takahashi ,&nbsp;Takayuki Suto ,&nbsp;Yoshito Tsushima","doi":"10.1016/j.mri.2024.110246","DOIUrl":"10.1016/j.mri.2024.110246","url":null,"abstract":"<div><h3>Purpose</h3><div>Assessing spatial resolution in MRI is challenging due to non-linearity. Despite the widespread use of 3D imaging in clinical practice for lesion detection and multi-planar reconstruction (MPR), the extended acquisition time poses a shortcoming. To address this, the “Slice resolution” parameter is utilized; however, its impact on MPR images is unclear. This study aims to assess spatial resolution using the ladder method, investigate the effects of diverse slice resolution settings in various imaging sequences, and propose optimal conditions.</div></div><div><h3>Methods</h3><div>Images were acquired using various 3D imaging sequences—SPACE T1WI, SPACE T2WI, and VIBE T1WI—with different slice resolutions. Axial cross-section images were acquired and reconstructed into coronal cross-sections. The ladder method was employed for objective evaluation, including spatial frequency analysis. Additionally, visual evaluation was conducted and compared with ladder method results.</div></div><div><h3>Results</h3><div>For three imaging sequences, the evaluated value of ladder method remained relatively constant from 100 % to 80 % slice resolution. However, the evaluated value decreased in low-spatial frequency for slice resolution below 70 %.</div></div><div><h3>Conclusions</h3><div>Results from both ladder method and visual evaluations indicated image quality remained stable when the slice resolution was decreased to 80 %, potentially enabling a 20 % reduction in imaging time while preserving resolution in other cross-sections reconstructed by MPR.</div></div>","PeriodicalId":18165,"journal":{"name":"Magnetic resonance imaging","volume":"114 ","pages":"Article 110246"},"PeriodicalIF":2.1,"publicationDate":"2024-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142372150","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Brain network fingerprints of Alzheimer's disease risk factors in mouse models with humanized APOE alleles","authors":"Steven Winter ,&nbsp;Ali Mahzarnia ,&nbsp;Robert J. Anderson ,&nbsp;Zay Yar Han ,&nbsp;Jessica Tremblay ,&nbsp;Jacques A. Stout ,&nbsp;Hae Sol Moon ,&nbsp;Daniel Marcellino ,&nbsp;David B. Dunson ,&nbsp;Alexandra Badea","doi":"10.1016/j.mri.2024.110251","DOIUrl":"10.1016/j.mri.2024.110251","url":null,"abstract":"<div><div>Alzheimer's disease (AD) presents complex challenges due to its multifactorial nature, poorly understood etiology, and late detection. The mechanisms through which genetic and modifiable risk factors influence disease susceptibility are under intense investigation, with APOE being the major genetic risk factor for late onset AD. Yet the impact of unique risk factors on brain networks is difficult to disentangle, and their interactions remain unclear.</div><div>To model multiple risk factors, including APOE genotype, age, sex, diet, and immunity we used a cross sectional design, leveraging mice expressing human APOE and NOS2 genes, conferring a reduced immune response compared to mouse Nos2. We used network topological and GraphClass analyses of brain connectomes derived from accelerated diffusion-weighted MRI to assess the global and local impact of risk factors, in the absence of AD pathology.</div><div>Aging and a high-fat diet impacted extensive networks comprising AD-vulnerable regions, including the temporal association cortex, amygdala, and the periaqueductal gray, involved in stress responses. Sex impacted networks including sexually dimorphic regions (thalamus, insula, hypothalamus) and key memory-processing areas (fimbria, septum). APOE genotypes modulated connectivity in memory, sensory, and motor regions, while diet and immunity both impacted the insula and hypothalamus. Notably, these risk factors converged on a circuit comprising 63 of 54,946 total connections (0.11% of the connectome), highlighting shared vulnerability amongst multiple AD risk factors in regions essential for sensory integration, emotional regulation, decision making, motor coordination, memory, homeostasis, and interoception. APOE genotype specific immune signatures support the design of interventions tailored to risk profiles. Sparse Canonical Correlation Analysis (CCA) including spatial memory as a risk factor resulted in a network comprising 80 edges, showing significant overlap with risk-associated networks from GraphClass. The largest overlaps were observed with networks impacted by diet (47 edges), immunity (39 edges), APOE3 vs 4 (26 edges), sex (23 edges), and age (19 edges), the resulting networks supporting the use of sensory cues in spatial memory retrieval.</div><div>These network-based biomarkers hold translational value for distinguishing high-risk versus low-risk participants at preclinical AD stages, suggest circuits as potential therapeutic targets, and advance our understanding of network fingerprints associated with AD risk.</div></div>","PeriodicalId":18165,"journal":{"name":"Magnetic resonance imaging","volume":"114 ","pages":"Article 110251"},"PeriodicalIF":2.1,"publicationDate":"2024-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142372248","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Use of multiparametric MRI to noninvasively assess iodinated contrast-induced acute kidney injury","authors":"Yongfang Wang ,&nbsp;Bin Wang ,&nbsp;Jiangbo Qin ,&nbsp;Haili Yan ,&nbsp;Haoyuan Chen ,&nbsp;Jinxia Guo ,&nbsp;Pu-Yeh Wu ,&nbsp;Xiaochun Wang","doi":"10.1016/j.mri.2024.110248","DOIUrl":"10.1016/j.mri.2024.110248","url":null,"abstract":"<div><h3>Purpose</h3><div>To gauge the utility of multiparametric MRI in characterizing pathologic changes after iodinated contrast-induced acute kidney injury (CI-AKI) in rats.</div></div><div><h3>Methods</h3><div>We randomly grouped 24 rats injected with 8 g iodine/kg of body weight (<em>n</em> = 6 each) and 6 rats injected with saline as controls. All rats underwent T1, T2 mapping and diffusion kurtosis imaging (DKI) after contrast injection at 0 (control), 1, 3, 7, 13 days. T1, T2, and mean kurtosis (MK) values were performed in renal outer/inner stripes of outer medulla (OSOM and ISOM) and cortex (CO), and their diagnosis performance for CI-AKI also been evaluated. Serum creatinine (SCr), insulin-like growth factor-binding protein 7 (IGFBP7), tissue inhibitor metalloproteinase 2 (TIMP-2), aquaporin-1 (AQP1), α-smooth muscle actin (α-SMA), and histologic indices were examined.</div></div><div><h3>Results</h3><div>Compared with controls, urinary concentrations of both TIMP-2 and IGFBP7 were obviously elevated from Day 1 to Day 13 (all <em>p</em> &lt; 0.05). T2 values were significantly higher than control group for Days 1 and 3, and T1 and MK increased were more remarkable at all time points (Days 1–13) in CI-AKI (all <em>p</em> &lt; 0.05) than control group. Changes in T1 and MK strongly correlated with renal injury scores of all anatomical compartments and with expression levels of AQP1 and moderately correlated with α-SMA. Changes in T2 values correlating moderately with renal scores of CO, ISOM and OSOM and AQP1. The MK obtained the highest area under the receiver operating characteristic (ROC) curve of 0.846 with a sensitivity of 70.8 % and specificity of 88.9 %.</div></div><div><h3>Conclusions</h3><div>Combined use of multiparametric MRI could be a valid noninvasive method for comprehensive monitoring of CI-AKI. Among these parameters, MK may achieve the best diagnostic performance for CI-AKI.</div></div>","PeriodicalId":18165,"journal":{"name":"Magnetic resonance imaging","volume":"114 ","pages":"Article 110248"},"PeriodicalIF":2.1,"publicationDate":"2024-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142365769","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Gd-EOB-DTPA-enhanced MR imaging features of hepatocellular carcinoma in non-cirrhotic liver","authors":"Mingyue Song ,&nbsp;Yuhao Tao ,&nbsp;Hanjun Zhang ,&nbsp;Mingzhan Du ,&nbsp;Lingchuan Guo ,&nbsp;Chunhong Hu ,&nbsp;Weiguo Zhang","doi":"10.1016/j.mri.2024.110241","DOIUrl":"10.1016/j.mri.2024.110241","url":null,"abstract":"<div><h3>Objective</h3><div>To evaluate clinical, pathological and gadolinium-ethoxybenzyl-diethylenetriamine pentaacetic acid-enhanced magnetic resonance imaging (Gd-EOB-DTPA-enhanced MRI) findings of hepatocellular carcinoma (HCC) in non-cirrhotic livers and compare with HCC in cirrhotic livers.</div></div><div><h3>Methods</h3><div>This retrospective study included patients with pathologically confirmed HCC who underwent preoperative Gd-EOB-DTPA-enhanced MRI between January 2015 and October 2021. Propensity scores were utilized to match non-cirrhotic HCCs (NCHCCs) patients with cirrhotic HCCs (CHCCs) patients. The clinical, pathological and MR imaging features of NCHCCs were compared with CHCCs. Correlation between these features and the presence of NCHCCs were analyzed by logistic regression analysis. The predictive efficacy was evaluated using receiver operating characteristic (ROC) analysis. The area under the receiver operating characteristic curve (AUC) was used to compare performance, and the Delong test was used to compare AUCs.</div></div><div><h3>Results</h3><div>After propensity score matching (1:3), a total of 144 patients with HCCs (36 NCHCCs and 108 CHCCs) were included. NCHCCs were larger in tumor size than CHCCs (<em>P</em> &lt; 0.001, Cohen's d = 0.737). NCHCCs were more common in patients who have hepatitis C (5.6 % vs 1.9 %, <em>P</em> &gt; 0.05) or have no known liver disease (11.1 % vs 0.9 %, <em>P</em> = 0.004), while hepatitis B was more common in CHCC patients (83.3 % vs 97.2 %, <em>P</em> = 0.003). Compared with CHCCs, NCHCCs more frequently demonstrated non-smooth tumor margin (<em>P</em> = 0.001, Cramer's V = 0.273), peri-tumoral hyperintensity (<em>P</em> &lt; 0.05, Cramer's V = 0.185), hyperintense and heterogeneous signals in hepatobiliary phase (HBP) (<em>P</em> &lt; 0.05). CHCCs were more likely to have satellite nodules compared to NCHCCs (33.3 % vs 57.4 %, <em>P</em> &lt; 0.05, Cramer's V = 0.209). Based on the univariate and multivariate logistic regression analysis, the tumor size, non-smooth tumor margin, heterogeneous intensity in HBP and satellite nodule were significantly correlated to NCHCCs (<em>P</em> all &lt;0.05). ROC curve analysis demonstrated that tumor size and non-smooth tumor margin were potential imaging predictors for the diagnosis of NCHCC, with AUC values of 0.715 and 0.639, respectively. The combination of the two imaging features for identifying NCHCC achieved an AUC value of 0.761, with a sensitivity of 0.889 and a specificity of 0.630.</div></div><div><h3>Conclusion</h3><div>NCHCCs were more likely to show larger tumor size, non-smooth tumor margin, peri-tumoral hyperintensity, as well as hyperintense and heterogeneous signals in HBP at Gd-EOB-DTPA-enhanced MR imaging compared with NCHCCs. Tumor size and non-smooth tumor margin in HBP may help to discriminate NCHCCs.</div></div>","PeriodicalId":18165,"journal":{"name":"Magnetic resonance imaging","volume":"114 ","pages":"Article 110241"},"PeriodicalIF":2.1,"publicationDate":"2024-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142372149","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Proton Density Fat Fraction Quantification (PD-FFQ): Capability for hematopoietic ability assessment and aplastic anemaia diagnosis of adults","authors":"Yoshiharu Ohno ,&nbsp;Takahiro Ueda ,&nbsp;Masahiko Nomura ,&nbsp;Yuichiro Sano ,&nbsp;Kaori Yamamoto ,&nbsp;Maiko Shinohara ,&nbsp;Masato Ikedo ,&nbsp;Masao Yui ,&nbsp;Akiyoshi Iwase ,&nbsp;Hiroyuki Nagata ,&nbsp;Takeshi Yoshikawa ,&nbsp;Daisuke Takenaka ,&nbsp;Akihiro Tomita ,&nbsp;Nobuyuki Fujita ,&nbsp;Yoshiyuki Ozawa","doi":"10.1016/j.mri.2024.110240","DOIUrl":"10.1016/j.mri.2024.110240","url":null,"abstract":"<div><h3>Purpose</h3><div>The purpose of this study was to determine the capability of proton density with fat fraction (PD-FFQ) imaging to help assess hematopoietic ability and diagnose aplastic anemia in adults.</div></div><div><h3>Methods</h3><div>Between January 2021 and March 2023, patients diagnosed with aplastic anemia (AA: <em>n</em> = 14) or myelodysplastic syndrome (MDS: n = 14) were examined by whole-body PD-FFQ imaging, and 14 of 126 age and gender matched patients who had undergone the same PD-FFQ imaging were selected as control group. All proton density fat fraction (PDFF) index evaluations were then performed by using regions of interest (ROIs). Pearson's correlation was used to determine the relationship between blood test results and each quantitative index, and ROC-based positive test and discrimination analyses to compare capability to differentiate the AA from the non-AA group. Finally, sensitivity, specificity and accuracy of all quantitative indexes were compared by means of McNemar's test.</div></div><div><h3>Results</h3><div>Mean PDFF, standard deviation (SD) and percentage of coefficient of variation (%CV) for vertebrae showed significant correlation with blood test results (−0.52 ≤ <em>r</em> ≤ −0.34, <em>p</em> &lt; 0.05). Specificity (SP) and accuracy (AC) of %CV of PDFF in vertebrae were significantly higher than those of mean PDFF in vertebrae and the posterior superior iliac spine (SP: <em>p</em> = 0.0002, AC: <em>p</em> = 0.0001) and SD of PDFF in vertebrae (SP: <em>p</em> = 0.008, AC: p = 0.008). Moreover, AC of SD of PDFF in vertebrae was significantly higher than that of mean PDFF in vertebrae and the posterior superior iliac spine (<em>p</em> = 0.03).</div></div><div><h3>Conclusion</h3><div>Whole-body PD-FFQ imaging is useful for hematopoietic ability assessment and diagnosis of aplastic anemia in adults.</div></div>","PeriodicalId":18165,"journal":{"name":"Magnetic resonance imaging","volume":"114 ","pages":"Article 110240"},"PeriodicalIF":2.1,"publicationDate":"2024-09-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142365768","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Neurite Orientation Dispersion and Density Imaging (NODDI) reveals white matter microstructural changes in Obstructive Sleep Apnea Hypopnea Syndrome (OSAHS) patients with cognitive impairment","authors":"Ke Ning ,&nbsp;Dechao Fan ,&nbsp;Yuzhu Liu ,&nbsp;Yubing Sun ,&nbsp;Yajie Liu ,&nbsp;Yongzhong Lin","doi":"10.1016/j.mri.2024.110234","DOIUrl":"10.1016/j.mri.2024.110234","url":null,"abstract":"<div><h3>Purpose</h3><p>This study aimed to assess changes in white matter microstructure among patients undergoing obstructive sleep apnea hypopnea syndrome (OSAHS) complicated by cognitive impairment through neurite orientation dispersion and density imaging (NODDI), and evaluate the relationship to cognitive impairment as well as the diagnostic performance in early intervention.</p></div><div><h3>Methods</h3><p>Totally 23 OSAHS patients, 43 OSAHS patients complicated by cognitive impairment, and 15 healthy controls were enrolled in OSA, OSACI and HC groups of this work. NODDI toolbox and FMRIB's Software Library (FSL) were used to calculate neurite density index (NDI), Fractional anisotropy (FA), volume fraction of isotropic water molecules (Viso), and orientation dispersion index (ODI). Tract-based spatial statistics (TBSS) were carried out to examine the above metrics with one-way ANOVA. This study explored the correlations of the above metrics with mini-mental state examination (MMSE), and montreal cognitive assessment (MoCA) scores. Furthermore, receiver operating characteristic (ROC) curves were plotted. Meanwhile, area under curve (AUC) values were calculated to evaluate the diagnostic performance of the above metrics.</p></div><div><h3>Results</h3><p>NDI, ODI, Viso, and FA were significantly different among different brain white matter regions, among which, difference in NDI showed the greatest statistical significance. In comparison with HC group, OSA group had reduced NDI and ODI, whereas elevated Viso levels. Conversely, compared to the OSA group, the OSACI group displayed a slight increase in NDI and ODI values, which remained lower than HC group, viso values continued to rise. Post-hoc analysis highlighted significant differences in these metrics, except for FA, which showed no notable changes or correlations with neuropsychological tests. ROC analysis confirmed the diagnostic efficacy of NDI, ODI, and Viso with AUCs of 0.6908, 0.6626, and 0.6363, respectively, whereas FA's AUC of 0.5042, indicating insufficient diagnostic efficacy.</p></div><div><h3>Conclusions</h3><p>This study confirmed that NODDI effectively reveals microstructural changes in white matter of OSAHS patients with cognitive impairment, providing neuroimaging evidence for early clinical diagnosis and intervention.</p></div>","PeriodicalId":18165,"journal":{"name":"Magnetic resonance imaging","volume":"114 ","pages":"Article 110234"},"PeriodicalIF":2.1,"publicationDate":"2024-09-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142239989","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Automatic generation of diffusion tensor imaging for the lumbar nerve using convolutional neural networks","authors":"Rira Masumoto ,&nbsp;Yawara Eguchi ,&nbsp;Hidenari Takeuchi ,&nbsp;Kazuhide Inage ,&nbsp;Miyako Narita ,&nbsp;Yasuhiro Shiga ,&nbsp;Masahiro Inoue ,&nbsp;Noriyasu Toshi ,&nbsp;Soichiro Tokeshi ,&nbsp;Kohei Okuyama ,&nbsp;Shuhei Ohyama ,&nbsp;Noritaka Suzuki ,&nbsp;Satoshi Maki ,&nbsp;Takeo Furuya ,&nbsp;Seiji Ohtori ,&nbsp;Sumihisa Orita","doi":"10.1016/j.mri.2024.110237","DOIUrl":"10.1016/j.mri.2024.110237","url":null,"abstract":"<div><h3>【Purpose】</h3><p>Diffusion Tensor Imaging (DTI) with tractography is useful for the functional diagnosis of degenerative lumbar disorders. However, it is not widely used in clinical settings due to time and health care provider costs, as it is performed manually on hospital workstations. The purpose of this study is to construct a system that extracts the lumbar nerve and generates tractography automatically using deep learning semantic segmentation.</p></div><div><h3>【Methods】</h3><p>We acquired 839 axial diffusion weighted images (DWI) from the DTI data of 90 patients with degenerative lumbar disorders, and segmented the lumbar nerve roots using U-Net, a semantic segmentation model. Using five architectural models, the accuracy of the lumbar nerve root segmentation was evaluated using a Dice coefficient. We also created automatic scripts from three commercially available software tools, including MRICronGL for medical image viewing, Diffusion Toolkit for reconstruction of the DWI data, and Trackvis for the creation of the tractography, and compared the time required to create the tractography, and evaluated the quality of the automated tractography was evaluated.</p></div><div><h3>【Results】</h3><p>Among the five models, the architectural model Resnet34 performed the best with a Dice = 0.780. The creation time for the automatic lumbar nerve tractography was 191 s, which was significantly shorter by 235 s than the manual time of 426 s (<em>p</em> &lt; 0.05). Furthermore, the agreement between manual and automated tractography was 3.67 ± 1.53 (satisfactory).</p></div><div><h3>【Conclusions】</h3><p>Using deep learning semantic segmentation, we were able to construct a system that automatically extracted the lumbar nerve and generated lumbar nerve tractography. This technology makes it possible to analyze lumbar nerve DTI and create tractography automatically, and is expected to advance the clinical applications of DTI for the assessment of the lumbar nerve.</p></div>","PeriodicalId":18165,"journal":{"name":"Magnetic resonance imaging","volume":"114 ","pages":"Article 110237"},"PeriodicalIF":2.1,"publicationDate":"2024-09-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142239932","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}