Magnetic resonance imaging最新文献

{"title":"Iron and neuromelanin imaging in basal ganglia circuitry in Parkinson's disease with freezing of gait","authors":"Youmin Zhang ,&nbsp;Chencheng Zhang ,&nbsp;Xinhui Wang ,&nbsp;Yu Liu ,&nbsp;Zhijia Jin ,&nbsp;E. Mark Haacke ,&nbsp;Naying He ,&nbsp;Dianyou Li ,&nbsp;Fuhua Yan","doi":"10.1016/j.mri.2024.05.011","DOIUrl":"10.1016/j.mri.2024.05.011","url":null,"abstract":"<div><h3>Objective</h3><p>This study aimed to examine the structural alterations of the deep gray matter (DGM) in the basal ganglia circuitry of Parkinson's disease (PD) patients with freezing of gait (FOG) using quantitative susceptibility mapping (QSM) and neuromelanin-sensitive magnetic resonance imaging (NM-MRI).</p></div><div><h3>Methods</h3><p>Twenty-five (25) PD patients with FOG (PD-FOG), 22 PD patients without FOG (PD-nFOG), and 30 age- and sex-matched healthy controls (HCs) underwent 3-dimensional multi-echo gradient recalled echo and NM-MRI scanning. The mean volume and susceptibility of the DGM on QSM data and the relative contrast (NM_RC-SNpc) and volume (NM_volume-SNpc) of the substantia nigra pars compacta on NM-MRI were analyzed among groups. A multiple linear regression analysis was performed to explore the associations of FOG severity with MRI measurements and disease stage.</p></div><div><h3>Results</h3><p>The PD-FOG group showed higher susceptibility in the bilateral caudal substantia nigra (SN) compared to the HC group. Both the PD-FOG and PD-nFOG groups showed lower volumes than the HC group in the bilateral caudate and putamen as determined from the QSM data. The NM_volume-SNpc on NM-MRI in the PD-FOG group was significantly lower than in the HC and PD-nFOG groups. Both the PD-FOG and PD-nFOG groups showed significantly decreased NM_RC-SNpc.</p></div><div><h3>Conclusions</h3><p>The PD-FOG patients showed abnormal neostriatum atrophy, increases in iron deposition in the SN, and lower NM_volume-SNpc. The structural alterations of the DGM in the basal ganglia circuits could lead to the abnormal output of the basal ganglia circuit to trigger the FOG in PD patients.</p></div>","PeriodicalId":18165,"journal":{"name":"Magnetic resonance imaging","volume":"111 ","pages":"Pages 229-236"},"PeriodicalIF":2.5,"publicationDate":"2024-05-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141082015","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":"Assessment of U-Net in the segmentation of short tracts: Transferring to clinical MRI routine","authors":"Hohana Gabriela Konell ,&nbsp;Luiz Otávio Murta Junior ,&nbsp;Antônio Carlos dos Santos ,&nbsp;Carlos Ernesto Garrido Salmon","doi":"10.1016/j.mri.2024.05.009","DOIUrl":"10.1016/j.mri.2024.05.009","url":null,"abstract":"<div><p>Accurately studying structural connectivity requires precise tract segmentation strategies. The U-Net network has been widely recognized for its exceptional capacity in image segmentation tasks and provides remarkable results in large tract segmentation when high-quality diffusion-weighted imaging (DWI) data are used. However, short tracts, which are associated with various neurological diseases, pose specific challenges, particularly when high-quality DWI data acquisition within clinical settings is concerned.</p><p>Here, we aimed to evaluate the U-Net network ability to segment short tracts by using DWI data acquired in different experimental conditions. To this end, we conducted three types of training experiments involving 350 healthy subjects and 11 white matter tracts, including the anterior, posterior, and hippocampal commissure, fornix, and uncinated fasciculus. In the first experiment, the model was exclusively trained with high-quality data of the Human Connectome Project (HCP) dataset. The second experiment focused on images of healthy subjects acquired from a local hospital dataset, representing a typical clinical routine acquisition. In the third experiment, a hybrid training approach was employed, combining data of the HCP and local hospital datasets. Then, the best model was also tested in unseen DWIs of 10 epilepsy patients of the local hospital and 10 healthy subjects acquired on a scanner from another company.</p><p>The outcomes of the third experiment demonstrated a notable enhancement in performance when contrasted with the preceding trials. Specifically, the short tracts within the local hospital dataset achieved Dice scores ranging between 0.60 and 0.65. Similar intervals were obtained with HCP data in the first experiment, and a substantial improvement compared to the scores between 0.37 and 0.50 obtained with the local hospital dataset at the same experiment. This improvement persisted when the method was applied to diverse scenarios, including different scanner acquisitions and epilepsy patients.</p><p>These results indicate that combining datasets from different sources, coupled with resolution standardization strengthens the neural network ability to generalize predictions across a spectrum of datasets. Nevertheless, short tract segmentation performance is intricately linked to the training composition, to validation, and to testing data. Moreover, curved tracts have intricate structural nature, which adds complexities to their segmenting. Although the network training approach tested herein has provided promising results, caution must be taken when extrapolating its application to datasets acquired under distinct experimental conditions, even in the case of higher-quality data or analysis of long or short tracts.</p></div>","PeriodicalId":18165,"journal":{"name":"Magnetic resonance imaging","volume":"111 ","pages":"Pages 217-228"},"PeriodicalIF":2.5,"publicationDate":"2024-05-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140958328","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":"Frequency and phase correction of GABA-edited magnetic resonance spectroscopy using complex-valued convolutional neural networks","authors":"Hanna Bugler ,&nbsp;Rodrigo Berto ,&nbsp;Roberto Souza ,&nbsp;Ashley D. Harris","doi":"10.1016/j.mri.2024.05.008","DOIUrl":"10.1016/j.mri.2024.05.008","url":null,"abstract":"<div><h3>Purpose</h3><p>To determine the significance of complex-valued inputs and complex-valued convolutions compared to real-valued inputs and real-valued convolutions in convolutional neural networks (CNNs) for frequency and phase correction (FPC) of GABA-edited magnetic resonance spectroscopy (MRS) data.</p></div><div><h3>Methods</h3><p>An ablation study using simulated data was performed to determine the most effective input (real or complex) and convolution type (real or complex) to predict frequency and phase shifts in GABA-edited MEGA-PRESS data using CNNs. The best CNN model was subsequently compared using both simulated and <em>in vivo</em> data to two recently proposed deep learning (DL) methods for FPC of GABA-edited MRS. All methods were trained using the same experimental setup and evaluated using the signal-to-noise ratio (SNR) and linewidth of the GABA peak, choline artifact, and by visually assessing the reconstructed final difference spectrum. Statistical significance was assessed using the Wilcoxon signed rank test.</p></div><div><h3>Results</h3><p>The ablation study showed that using complex values for the input represented by real and imaginary channels in our model input tensor, with complex convolutions was most effective for FPC. Overall, in the comparative study using simulated data, our CC-CNN model (that received complex-valued inputs with complex convolutions) outperformed the other models as evaluated by the mean absolute error.</p></div><div><h3>Conclusion</h3><p>Our results indicate that the optimal CNN configuration for GABA-edited MRS FPC uses a complex-valued input and complex convolutions. Overall, this model outperformed existing DL models.</p></div>","PeriodicalId":18165,"journal":{"name":"Magnetic resonance imaging","volume":"111 ","pages":"Pages 186-195"},"PeriodicalIF":2.5,"publicationDate":"2024-05-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S0730725X24001577/pdfft?md5=beabc82703021a10b9a1b32c32548a80&pid=1-s2.0-S0730725X24001577-main.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140922621","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":"Relationship between multi-pool model-based chemical exchange saturation transfer imaging, intravoxel incoherent motion MRI, and 11C-methionine uptake on PET/CT in patients with gliomas","authors":"Yasukage Takami ,&nbsp;Takashi Norikane ,&nbsp;Naruhide Kimura ,&nbsp;Katsuya Mitamura ,&nbsp;Yuka Yamamoto ,&nbsp;Keisuke Miyake ,&nbsp;Mitsuharu Miyoshi ,&nbsp;Yoshihiro Nishiyama","doi":"10.1016/j.mri.2024.05.007","DOIUrl":"10.1016/j.mri.2024.05.007","url":null,"abstract":"<div><h3>Purpose</h3><p>Magnetization transfer ratio asymmetry (MTRasym) analysis is used for chemical exchange saturation transfer (CEST) in patients with gliomas; however, this approach has limitations. CEST imaging using a multi-pool model (MPM) may allow a more detailed assessment of gliomas; however, its mechanism remains unknown. This study aimed to assess the relationship between CEST imaging by MPM, intravoxel incoherent motion (IVIM), and ¹¹C-methionine (¹¹C-MET) uptake on positron emission tomography/computed tomography (PET/CT) to clarify the clinical significance of CEST imaging using MPM in gliomas.</p></div><div><h3>Methods</h3><p>This retrospective study included 17 patients with gliomas who underwent ¹¹C-MET PET/CT at our institution between January 2020 and January 2022. Two-dimensional axial CEST imaging was conducted using single-shot fast-spin echo acquisition at 3 T. The apparent diffusion coefficient (ADC), true diffusion coefficient (D), pseudo-diffusion coefficient (D*), f, MTRasym (3.5 ppm), parameters of MPM-based CEST imaging, and tumor-to-contralateral normal brain tissue (T/N) ratio were calculated using a region-of-interest analysis. Shapiro–Wilk test, weighted kappa coefficient, and Spearman's rank correlation coefficients were used for statistical analysis.</p></div><div><h3>Results</h3><p>Significant correlations were found between APT_T1 and T/N ratio (<em>ρ</em> = 0.87, <em>p</em> &lt; 0.001), APT_T2 and T/N ratio (<em>ρ</em> = 0.47, <em>p</em> &lt; 0.05), MTRasym and T/N ratio (<em>ρ</em> = 0.55, <em>p</em> &lt; 0.01), and T2/T1 and T/N ratio (ρ = −0.36, <em>p</em> &lt; 0.05). Furthermore, significant correlations were observed between APT_T1 and ADC (<em>ρ</em> = −0.67, <em>p</em> &lt; 0.001), APT_T1 and D (<em>ρ</em> = −0.70, <em>p</em> &lt; 0.001), APT_T2 and D* (<em>ρ</em> = −0.45, <em>p</em> &lt; 0.05), and T2/T1 and D (<em>ρ</em> = 0.39, <em>p</em> &lt; 0.05).</p></div><div><h3>Conclusion</h3><p>These preliminary findings indicate that MPM-based CEST imaging parameters correlate with IVIM and ¹¹C-MET uptake on PET/CT in patients with gliomas. In particular, the new parameter APT_T1 correlated more strongly with ¹¹C-MET uptake compared to the traditional CEST parameter MTRasym.</p></div>","PeriodicalId":18165,"journal":{"name":"Magnetic resonance imaging","volume":"111 ","pages":"Pages 148-156"},"PeriodicalIF":2.5,"publicationDate":"2024-05-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140904651","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":"Differential diagnosis of thyroid nodules by DCE-MRI based on compressed sensing volumetric interpolated breath-hold examination: A feasibility study","authors":"Junhao Huang ,&nbsp;Daihong Liu ,&nbsp;Jiao Chen ,&nbsp;Xiaoxia Wang ,&nbsp;Lin Tang ,&nbsp;Jing Zhang ,&nbsp;Yong Tan ,&nbsp;Xiaosong Lan ,&nbsp;Ting Yin ,&nbsp;Dominik Nickel ,&nbsp;Jian Wu ,&nbsp;Jiuquan Zhang","doi":"10.1016/j.mri.2024.05.006","DOIUrl":"10.1016/j.mri.2024.05.006","url":null,"abstract":"<div><h3>Objectives</h3><p>To explore the potential and performance of quantitative and semi-quantitative parameters derived from dynamic contrast-enhanced magnetic resonance imaging (DCE-MRI) based on compressed sensing volumetric interpolated breath-hold (CS-VIBE) examination in the differential diagnosis of thyroid nodules.</p></div><div><h3>Materials and methods</h3><p>A total of 208 patients with 259 thyroid nodules scheduled for surgery operation were prospectively recruited. All participants underwent routine and DCE-MRI. DCE-MRI quantitative parameters [Ktrans, Kep, Ve], semi-quantitative parameters [wash-in, wash-out, time to peak (TTP), arrival time (AT), peak enhancement intensity (PEI), and initial area under curve in 60 s (iAUC)] and time-intensity curve (TIC) types were analyzed. Differential diagnostic performances were assessed using area under the receiver operating characteristic curve (AUC) and compared with the Delong test.</p></div><div><h3>Results</h3><p>Ktrans, Kep, Ve, wash-in, wash-out, PEI and iAUC were statistically significantly different between malignant and benign nodules (<em>P</em> &lt; 0.001). Among these parameters, ROC analysis revealed that Ktrans showed the highest diagnostic performance in the differentiation of benign and malignant nodules, followed by wash-in. ROC analysis also revealed that Ktrans achieved the best diagnostic performance for distinguishing papillary thyroid carcinoma (PTC) from non-PTC, follicular adenoma (FA) from non-FA, nodular goiter (NG) from non-NG, with AUC values of 0.854, 0.895 and 0.609, respectively. Type III curve is frequently observed in benign thyroid nodules, accounting for 77.4% (82/106). While malignant nodules are more common in type II, accounting for 57.5% (88/153).</p></div><div><h3>Conclusion</h3><p>Thyroid examination using CS-VIBE based DCE-MRI is a feasible, non-invasive method to identify benign and malignant thyroid nodules and pathological types.</p></div>","PeriodicalId":18165,"journal":{"name":"Magnetic resonance imaging","volume":"111 ","pages":"Pages 138-147"},"PeriodicalIF":2.5,"publicationDate":"2024-05-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140904614","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":"The efficacy of using a multiparametric magnetic resonance imaging-based radiomics model to distinguish glioma recurrence from pseudoprogression","authors":"Fang-Xiong Fu ,&nbsp;Qin-Lei Cai ,&nbsp;Guo Li ,&nbsp;Xiao-Jing Wu ,&nbsp;Lan Hong ,&nbsp;Wang-Sheng Chen","doi":"10.1016/j.mri.2024.05.003","DOIUrl":"10.1016/j.mri.2024.05.003","url":null,"abstract":"<div><h3>Objective</h3><p>The early differential diagnosis of the postoperative recurrence or pseudoprogression (psPD) of a glioma is of great guiding significance for individualized clinical treatment. This study aimed to evaluate the ability of a multiparametric magnetic resonance imaging (MRI)-based radiomics model to distinguish between the postoperative recurrence and psPD of a glioma early on and in a noninvasive manner.</p></div><div><h3>Methods</h3><p>A total of 52 patients with gliomas who attended the Hainan Provincial People's Hospital between 2000 and 2021 and met the inclusion criteria were selected for this study. 1137 and 1137 radiomic features were extracted from T1 enhanced and T2WI/FLAIR sequence images, respectively.After clearing some invalid information and LASSO screening, a total of 9 and 10 characteristic radiological features were extracted and randomly divided into the training set and the test set according to 7:3 ratio. Select-Kbest and minimum Absolute contraction and selection operator (LASSO) were used for feature selection. Support vector machine and logistic regression were used to form a multi-parameter model for training and prediction. The optimal sequence and classifier were selected according to the area under the curve (AUC) and accuracy.</p></div><div><h3>Results</h3><p>Radiomic models 1, 2 and 3 based on T1WI, T2FLAIR and T1WI + T2T2FLAIR sequences have better performance in the identification of postoperative recurrence and false progression of T1 glioma. The performance of model 2 is more stable, and the performance of support vector machine classifier is more stable. The multiparameter model based on CE-T1 + T2WI/FLAIR sequence showed the best performance (AUC:0.96, sensitivity: 0.87, specificity: 0.94, accuracy: 0.89,95% CI:0.93–1).</p></div><div><h3>Conclusion</h3><p>The use of multiparametric MRI-based radiomics provides a noninvasive, stable, and accurate method for differentiating between the postoperative recurrence and psPD of a glioma, which allows for timely individualized clinical treatment.</p></div>","PeriodicalId":18165,"journal":{"name":"Magnetic resonance imaging","volume":"111 ","pages":"Pages 168-178"},"PeriodicalIF":2.5,"publicationDate":"2024-05-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140904657","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":"Denoising of the gradient artifact present in simultaneous studies of muscle blood oxygen level dependent (BOLD) signal and electromyography (EMG)","authors":"Alejandro Amador-Tejada ,&nbsp;Joshua E. McGillivray ,&nbsp;Dinesh A. Kumbhare ,&nbsp;Michael D. Noseworthy","doi":"10.1016/j.mri.2024.05.004","DOIUrl":"10.1016/j.mri.2024.05.004","url":null,"abstract":"<div><p>The MR-induced gradient artifact affects EMG recordings during simultaneous muscle BOLD/EMG acquisitions. However, no dedicated hardware can remove the gradient artifact easily, and alternative methods are expensive and time-consuming. This study aimed to develop three denoising methods requiring different processing levels and MR-compatible hardware.</p><p>At two time points, surface EMG was recorded from the lower leg of 6 participants (50:50 sex ratio, age = 26.24.6 yrs., height = 173.59.2 cm, weight = 71.511.4 kg) using a plantar flexion-based block design consisting of 30s of rest followed by 30s of flexion for 5 min, under three conditions: inside the MRI bore, with and without a BOLD sequence (3 T, BOLD sequence, GRE EPI, 10 slices, 64×64 matrix, 2 mm thickness, and TE/TR/flip = 35/3000 ms/70), and outside the MRI environment. Simultaneous BOLD/EMG recordings were denoised using average artifact subtraction with three methods of artifact template creation, each having varying timing and hardware requirements. Method M1 builds the artifact template by recording the scanner triggers coming from the MRI; M2 creates the artifact template with a constant artifact period computed as TR/[number of slices]; M3 estimates the artifact template by looking at the periodicity of the gradient artifact located in the EMG recordings. Following postprocessing, SNR analysis was performed, comparing rest-to-flexion periods, to assess the efficacy of denoising methods and to compare differences between conditions.</p><p>Linear mixed-effects models showed no significant differences in the mean SNR between denoising methods (<em>p</em> = 0.656). Furthermore, EMG SNR measurements were significantly affected by the magnetic environment (<em>p</em> &lt; 0.05) but not by muscle fatigue over time (<em>p</em> = 0.975).</p><p>EMG recordings contaminated with gradient artifacts during simultaneous BOLD/EMG can be efficiently denoised using all proposed methods, with two methods requiring no extra hardware. With minimal post-processing, EMG can easily be performed during muscle BOLD MRI studies.</p></div>","PeriodicalId":18165,"journal":{"name":"Magnetic resonance imaging","volume":"111 ","pages":"Pages 179-185"},"PeriodicalIF":2.5,"publicationDate":"2024-05-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S0730725X2400153X/pdfft?md5=87f3ae93418a615aafeee746f3aa5ac2&pid=1-s2.0-S0730725X2400153X-main.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140898750","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":"Feasibility study of the application of magnetic resonance elastography (MRE) to measure oral posture related changes in stiffness of zygomaticus major muscle","authors":"Emi Hojo ,&nbsp;Kevin J. Glaser ,&nbsp;Ayako Harada-Hayashi ,&nbsp;Yuan Le ,&nbsp;Jun Chen ,&nbsp;Thomas C. Hulshizer ,&nbsp;Phillip J. Rossman ,&nbsp;Sachiko Noyori ,&nbsp;Neil Roberts","doi":"10.1016/j.mri.2024.05.005","DOIUrl":"10.1016/j.mri.2024.05.005","url":null,"abstract":"<div><h3>Purpose</h3><p>Development of a technique for measuring the mechanical properties of zygomaticus major (ZM) may aid advances in clinical treatments for correcting abnormal oral posture. The objective of this work was to demonstrate the feasibility of measuring the stiffness of ZM using an MR elastography technique that incorporates a custom local driver and a phase-gradient (PG) inversion.</p></div><div><h3>Methods</h3><p>2D MRE investigations were performed for 3 healthy subjects using a vibration frequency of 90 Hz to test the prediction that the stiffness of ZM would be greater in the mouth-open compared to the mouth-closed position. MRE wave images were acquired along the long axis of ZM and processed using a 2D spatial-temporal directional filter applied in the direction of wave propagation along the long axis of the muscle. Stiffness measurements were obtained by applying the PG technique to a 1D-profile drawn in the phase image of the first harmonic of the wave images and a one-tailed paired <em>t</em>-test was used to compare the ZM stiffness between the two mouth postures (<em>p</em> &lt; 0.05).</p></div><div><h3>Results</h3><p>The mean stiffness and standard deviation (SD) of ZM across the three participants in the mouth-closed and mouth-open postures was 6.75 kPa (SD 3.36 kPa) and 15.5 kPa (SD 5.15 kPa), respectively. Changes of ZM stiffness were significantly greater in the mouth-open than the mouth-closed posture (<em>p</em> = 0.038).</p></div><div><h3>Conclusion</h3><p>The feasibility of using the PG MRE technique to measure stiffness changes in a small muscle such as ZM for different mouth postures has been demonstrated. Further investigations are required in a larger cohort of participants to investigate the sensitivity and reproducibility of the technique for potential clinical application as well as in health and beauty related studies.</p></div>","PeriodicalId":18165,"journal":{"name":"Magnetic resonance imaging","volume":"111 ","pages":"Pages 196-201"},"PeriodicalIF":2.5,"publicationDate":"2024-05-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S0730725X24001541/pdfft?md5=7df358580028b1ffbb3b9be52efe586b&pid=1-s2.0-S0730725X24001541-main.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140898753","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":"Arterial transit artifacts and carotid Plaque-RADS may predict symptoms in patients with carotid stenosis","authors":"Juan Xia ,&nbsp;Chengxin Yu ,&nbsp;Liang Li ,&nbsp;Junlong Pan","doi":"10.1016/j.mri.2024.05.001","DOIUrl":"10.1016/j.mri.2024.05.001","url":null,"abstract":"<div><h3>Aim</h3><p>To analyze the correlation of carotid stenosis severity, the Plaque Reporting and Data System (RADS) score, arterial transit artifacts (ATAs), and cerebral blood flow (CBF) with clinical cerebral ischemic symptoms in patients with carotid artery stenosis (CAS).</p></div><div><h3>Materials and methods</h3><p>Sixty-one patients with unilateral internal carotid artery stenosis or occlusion (≥50% stenosis) diagnosed by ultrasound, Computed Tomography(CT) angiography, or Magnetic Resonance(MR) angiography in Yichang City Central People's Hospital from January 2022 to February 2024 were retrospectively enrolled and divided into two groups according to the presence or absence of symptoms. Both groups underwent MR plaque imaging and arterial spin labeling (ASL)-based 3.0 T MRI to compare the differences in stenosis degree, Plaque-RADS score, ATA grade, and CBF between the two groups. Binary regression analysis was used to identify the parameters with statistically significant differences between the two groups and to evaluate their diagnostic efficacy using the area under the workup curve of the subjects.</p></div><div><h3>Results</h3><p>The Plaque-RADS score, ATA grade, and CBF differences in the anterior cerebral artery(<em>ACA</em>)blood supply region were correlated with symptoms, and the areas under the ROC curves for the CBF differences in the ACA blood supply region, Plaque-RADS score, ATA grade and a joint model that combines all three to predict symptoms in CAS patients were 0.672, 0.796, 0.788 and 0.919, respectively.</p></div><div><h3>Conclusions</h3><p>CBF, Plaque-RADS and ATAs were identified as independent risk factors for symptoms in patients with CAS and have a certain predictive value for symptoms, and the combined predictive value is greater, potentially providing a more effective imaging modality for clinical treatment and evaluation.</p></div>","PeriodicalId":18165,"journal":{"name":"Magnetic resonance imaging","volume":"111 ","pages":"Pages 131-137"},"PeriodicalIF":2.5,"publicationDate":"2024-05-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140874729","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":"A clinicopathological-imaging nomogram for the prediction of pathological complete response in breast cancer cases administered neoadjuvant therapy","authors":"Wei Yang ,&nbsp;Yan Yang ,&nbsp;Chaolin Zhang ,&nbsp;Qingyun Yin ,&nbsp;Ningmei Zhang","doi":"10.1016/j.mri.2024.05.002","DOIUrl":"10.1016/j.mri.2024.05.002","url":null,"abstract":"<div><h3>Objective</h3><p>To construct a user-friendly nomogram with MRI and clinicopathological parameters for the prediction of pathological complete response (pCR) after neoadjuvant therapy (NAT) in patients with breast cancer (BC).</p></div><div><h3>Methods</h3><p>We retrospectively enrolled consecutive female patients pathologically confirmed with breast cancer who received NAT followed by surgery between January 2018 and December 2022 as the development cohort. Additionally, we prospectively collected eligible candidates between January 2023 and December 2023 as an external validation group at our institution. Pretreatment MRI features and clinicopathological variables were collected, and the pre- and post-treatment background parenchymal enhancement (BPE) and the changes in BPE on two MRIs were compared between patients who achieved pCR and those who did not. Multivariable logistic regression analysis was used to identify independent variables associated with pCR in the development cohort. These independent variables were combined into a predictive nomogram for which performance was assessed using the area under the receiver operating characteristic curve (AUC), calibration plot, decision curve analysis, and external validation.</p></div><div><h3>Results</h3><p>In the development cohort, there were a total of 276 female patients with a mean age of 48.3 ± 8.7 years, while in the validation cohort, there were 87 female patients with a mean age of 49.0 ± 9.5 years. Independent prognostic factors of pCR included small tumor size, HER2(+), high Ki-67 index,high signal enhancement ratio (SER), low minimum value of apparent diffusion coefficient (ADC_min), and significantly decreased BPE after NAT(change of BPE). The nomogram, which incorporates the above parameters, demonstrated excellent predictive performance in both the development and external validation cohorts, with AUC values of 0.900 and 0.850, respectively. Additionally, the nomogram showed excellent calibration capacities, as indicated by Hosmer-Lemeshow test <em>p</em> values of 0.508 and 0.423 in the two cohorts. Furthermore, the nomogram provided greater net benefits compared to the default simple schemes in both cohorts.</p></div><div><h3>Conclusion</h3><p>A nomogram constructed using tumor size, HER2 status, Ki-67 index, SER, ADC_min, and changes in pre- and post-NAT BPE demonstrated strong predictive performance, calibration ability, and greater net benefits for predicting pCR in patients with BC after NAT. This suggests that the user-friendly nomogram could be a valuable imaging biomarker for identifying suitable candidates for NAT.</p></div>","PeriodicalId":18165,"journal":{"name":"Magnetic resonance imaging","volume":"111 ","pages":"Pages 120-130"},"PeriodicalIF":2.5,"publicationDate":"2024-05-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140858451","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}