Magnetic resonance imaging最新文献

{"title":"Coronary artery black-blood imaging via T2-prepared phase-sensitive inversion-recovery steady-state free precession in Kawasaki disease","authors":"Koji Matsumoto ,&nbsp;Hajime Yokota ,&nbsp;Hiroki Mukai ,&nbsp;Ryota Ebata ,&nbsp;Kentaro Okunushi ,&nbsp;Hiromichi Hamada ,&nbsp;Hiroyuki Takaoka ,&nbsp;Masami Yoneyama ,&nbsp;Takashi Namiki ,&nbsp;Takashi Iimori ,&nbsp;Takashi Uno","doi":"10.1016/j.mri.2025.110589","DOIUrl":"10.1016/j.mri.2025.110589","url":null,"abstract":"<div><h3>Purpose</h3><div>This study aimed to evaluate, qualitatively and quantitatively, cross-sectional black-blood images obtained using T₂-prepared phase-sensitive inversion-recovery steady-state free precession (T₂PSIR-SSFP), in comparison with conventional double inversion recovery turbo spin-echo (DIR-TSE), in patients with Kawasaki disease (KD), and to assess the feasibility of T₂PSIR-SSFP imaging.</div></div><div><h3>Materials and methods</h3><div>Nine patients (three female and six male; median age, 6.2 years; range, 8 months–14 years) were enrolled. Black-blood imaging was separately analyzed in aneurysmal and regressed aneurysmal regions. Lumen and outer wall boundary image quality was visually graded using a four-point scale. Lumen area (LA) reproducibility measurements were determined using intraclass correlation coefficients (ICCs) between T₂PSIR-SSFP and coronary magnetic resonance angiography (MRA) images, as well as between DIR-TSE and MRA. Agreement between T₂PSIR-SSFP and MRA was further examined using Bland–Altman analysis.</div></div><div><h3>Results</h3><div>A total of 22 coronary regions (11 aneurysmal and 11 regressed aneurysmal) were assessed. T₂PSIR-SSFP exhibited excellent reproducibility with MRA in both aneurysmal and regressed aneurysmal regions (ICCs = 0.99 and 1.00, respectively). DIR-TSE showed high reproducibility in regressed aneurysmal regions (ICC = 0.93) but poor agreement in aneurysmal regions (ICC = 0.43). Bland–Altman analysis revealed strong agreement between T₂PSIR-SSFP and MRA, with no fixed or proportional bias in either region (<em>P</em> &gt; 0.1).</div></div><div><h3>Conclusions</h3><div>Flow-independent coronary black-blood imaging using T₂PSIR-SSFP provided values within the expected range in patients with KD. T₂PSIR-SSFP imaging appears suitable for KD follow-up because it can provide accurate cross-sectional images and reproducibility of LA measurements.</div></div>","PeriodicalId":18165,"journal":{"name":"Magnetic resonance imaging","volume":"127 ","pages":"Article 110589"},"PeriodicalIF":2.0,"publicationDate":"2026-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145708504","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":"Tumor stiffness as an imaging biomarker of tyrosine kinase inhibitor response: A preclinical study","authors":"Baihe Luo ,&nbsp;Aoran Yang ,&nbsp;Jialin Li ,&nbsp;Chen Pan,&nbsp;Chunli Li,&nbsp;Minghui Zhou,&nbsp;Zhiying Wang,&nbsp;Chengli Gu,&nbsp;Xiaoli Yin,&nbsp;Yun Zhao,&nbsp;Yu Shi","doi":"10.1016/j.mri.2025.110577","DOIUrl":"10.1016/j.mri.2025.110577","url":null,"abstract":"<div><h3>Objective</h3><div>Tyrosine kinase inhibitors (TKIs), such as sorafenib, are standard therapies for advanced hepatocellular carcinoma (HCC), but their biomechanical impact and the role of magnetic resonance elastography (MRE) in treatment evaluation remain unclear. This study explored whether TKIs reduce tumor stiffness by inhibiting malignant behavior and whether MRE can detect such changes early.</div></div><div><h3>Methods</h3><div>A prospective animal study was performed using subcutaneous SK-HEP-1 HCC xenografts in 50 nude rats. Forty tumor-bearing rats were randomized to control or sorafenib-treated groups (<em>n</em> = 20 each). Multiparametric 3.0 T MRI included T1- and T2-weighted imaging, T1/T2/T2* mapping, and MRE at 200 Hz and 100 Hz. Imaging was conducted at baseline (∼2 cm³ tumor volume) and on days 1, 2, and 3 post-intervention. Histology involved H&amp;E and immunohistochemistry for VEGFR-1, BRAF, Ki67, and TUNEL. Ex vivo stiffness was measured by atomic force microscopy. Cell behavior was assessed by EdU, Transwell, CCK-8, and Western blot. Statistical analysis included ICC, Bland–Altman, Mann–Whitney U, repeated measures ANOVA, Spearman correlation, and multivariate regression.</div></div><div><h3>Results</h3><div>TKIs reduced tumor stiffness at cellular (<em>P</em> = 0.02) and tissue (<em>P</em> = 0.004) levels. Stiffness decreased by day 2 at 200 Hz and day 3 at both frequencies. Treated tumors showed reduced cellularity, lower Ki67, and increased apoptosis. Stiffness correlated with cellularity (<em>r</em> = 0.527) and Ki67 (<em>r</em> = 0.623), both predicting MRE stiffness (R² = 0.537).</div></div><div><h3>Conclusion</h3><div>TKIs reduce stiffness and malignancy in HCC. MRE is a promising tool for early treatment response evaluation.</div></div>","PeriodicalId":18165,"journal":{"name":"Magnetic resonance imaging","volume":"127 ","pages":"Article 110577"},"PeriodicalIF":2.0,"publicationDate":"2026-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145634504","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":"Time-dependent diffusion MRI combined with enhanced MRI and clinical indicators for preoperative prediction of CK19 expression status in hepatocellular carcinoma: a prospective study","authors":"Yu-chen Wei ,&nbsp;Xing-Qing Qin ,&nbsp;Jian-sun Li ,&nbsp;Yuan-fang Tao ,&nbsp;Chongze Yang ,&nbsp;Qing ling Huang ,&nbsp;Yan-yan Yu ,&nbsp;Huiting Zhang ,&nbsp;Haodong Qin ,&nbsp;Thorsten Feiweier ,&nbsp;Jin-yuan Liao","doi":"10.1016/j.mri.2025.110602","DOIUrl":"10.1016/j.mri.2025.110602","url":null,"abstract":"<div><h3>Objective</h3><div>To explore the value of time-dependent diffusion MRI(Td-dMRI) in predicting the expression status of cytokeratin 19(CK19) in hepatocellular carcinoma(HCC) before surgery.</div></div><div><h3>Materials and methods</h3><div>Prospective inclusion of 72 HCC patients confirmed by surgical pathology (43 CK19-negative and 29 CK19-positive). All patients underwent time-dependent diffusion MRI (Td-dMRI) using a 3.0 T MR scanner before surgery, and quantitative parameters were calculated. Clinical data and MRI features of the patients were collected. Using univariate and multivariate logistic regression analysis to identify the risk factors for CK19 positive expression and establish a predictive model. The diagnostic performance of the model was evaluated using the area under the curve (AUC) of the receiver operating characteristic (ROC) curve, decision curve analysis (DCA), and calibration analysis.</div></div><div><h3>Results</h3><div>CK19-positive HCC exhibited significantly lower d and higher cellularity compared to CK19-negative HCC. CK19-positive HCC demonstrated significantly higher proportions of AFP (&gt;200 ng/ml), CEA (&gt;5 ng/ml), arterial phase rim enhancement, peritumoral hypointensity on hepatobiliary phase, peritumoral arterial hyperenhancement, and intratumoral necrosis/hemorrhage than CK19-negative HCC. Univariate and multivariate logistic regression analyses identified cellularity, AFP (&gt;200 ng/ml), arterial phase rim enhancement, and peritumoral hypointensity on hepatobiliary phase as independent predictors of CK19 positivity. The combined model incorporating these four factors achieved an AUC of 0.889 (95 % CI: 0.809–0.968), with a sensitivity of 82.8 % and specificity of 86.0 %.</div></div><div><h3>Conclusions</h3><div>The cellularity value based on Td-dMRI was a potential quantitative biomarker for predicting CK19-positive HCC.</div></div>","PeriodicalId":18165,"journal":{"name":"Magnetic resonance imaging","volume":"127 ","pages":"Article 110602"},"PeriodicalIF":2.0,"publicationDate":"2026-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145850324","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":"Lenz effect in conductive nonmagnetic objects moved in MRI environments","authors":"Alessandro Arduino ,&nbsp;Oriano Bottauscio ,&nbsp;Michael Steckner ,&nbsp;Umberto Zanovello ,&nbsp;Luca Zilberti","doi":"10.1016/j.mri.2025.110605","DOIUrl":"10.1016/j.mri.2025.110605","url":null,"abstract":"<div><h3>Purpose:</h3><div>To model and predict the dynamics of conductive nonmagnetic objects moved within the MRI room under the influence of Lenz effect. High frequency motions, like vibrations induced by gradient eddy currents are not taken into account.</div></div><div><h3>Methods:</h3><div>The dynamics are described by an ordinary differential equation and the Lenz effect approximated under the assumption of negligible skin effect. This allows to separate the Lenz effect dependency on the object position and velocity, leading to a simple numerical procedure for objects of any shape.</div></div><div><h3>Results:</h3><div>The proposed model and numerical procedure were validated with experimental data recording the rotation of an aluminium plate falling inside a 1.5 T MRI scanner. The model was also applied for studying the translation of an aluminium plate pushed with constant force towards the MRI bore through the fringe field.</div></div><div><h3>Conclusion:</h3><div>The collected results showed that it is possible to obtain accurate predictions of motion in the presence of Lenz effect by neglecting the skin effect while determining the motional eddy currents induced in the metallic object.</div></div>","PeriodicalId":18165,"journal":{"name":"Magnetic resonance imaging","volume":"127 ","pages":"Article 110605"},"PeriodicalIF":2.0,"publicationDate":"2026-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145880744","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":"Development and validation of a prognostic prediction nomogram incorporating MRI and clinicopathological features in breast cancer patients after neoadjuvant chemotherapy","authors":"Shuluan Chen ,&nbsp;Shunan Che ,&nbsp;Mengying Yang ,&nbsp;Yufei Chen ,&nbsp;Yuan Tian ,&nbsp;Kun Ma ,&nbsp;Sicong Wang ,&nbsp;Jing Li","doi":"10.1016/j.mri.2025.110606","DOIUrl":"10.1016/j.mri.2025.110606","url":null,"abstract":"<div><h3>Objectives</h3><div>This study aimed to develop and validate a prognostic nomogram integrating baseline MRI and clinicopathological features to predict disease-free survival (DFS) in breast cancer patients undergoing neoadjuvant chemotherapy (NAC).</div></div><div><h3>Materials and methods</h3><div>A retrospective cohort of 402 invasive breast cancer patients who underwent pre-treatment MRI, NAC, and surgery between January 2014 and December 2021 was analyzed. Patients were randomly assigned to a training group (<em>n</em> = 280) and a validation group (<em>n</em> = 122). Variables were selected via univariate Cox regression and Lasso-Cox analyses, with significant factors used to construct nomogram models. The clinicopathological, baseline MRI and combined models were constructed. Model performance was assessed using the area under the curve (AUC), concordance index (C-index), and calibration curves. A risk score derived from the combined model facilitated stratification into high- and low-risk groups, with log-rank test used for survival comparison.</div></div><div><h3>Results</h3><div>Key predictors in the clinicopathological model included clinical T stage, pathological complete response (pCR) in primary tumor, pCR in axillary lymph nodes, and lymphovascular invasion. MRI-based predictors included multifocal or multicentric lesions, subcutaneous edema, and ipsilateral suspicious internal mammary lymph nodes. The combined model outperformed the clinicopathological (training C-index = 0.67, validation C-index = 0.754) and baseline MRI models (training C-index = 0.665, validation C-index = 0.605), achieving C-indices of 0.706 and 0.719 in the training and validation groups, respectively. A risk score cut-off of −0.35 effectively stratified patients into high- and low-risk groups.</div></div><div><h3>Conclusion</h3><div>This combined nomogram integrating clinicopathological and MRI features offers improved predictive accuracy for DFS in breast cancer patients after NAC, enabling enhanced risk stratification and individualized follow-up strategies.</div></div>","PeriodicalId":18165,"journal":{"name":"Magnetic resonance imaging","volume":"127 ","pages":"Article 110606"},"PeriodicalIF":2.0,"publicationDate":"2026-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145878664","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":"Repeatability and reproducibility of maximum diameter measurements of prostate lesions on MRI with repositioning and variation of imaging sequences: A test-retest study","authors":"Kevin Sun Zhang ,&nbsp;Philip Alexander Glemser ,&nbsp;Christian Jan Oliver Neelsen ,&nbsp;Markus Wennmann ,&nbsp;Lukas Thomas Rotkopf ,&nbsp;Nils Netzer ,&nbsp;Clara Meinzer ,&nbsp;Thomas Hielscher ,&nbsp;Vivienn Weru ,&nbsp;Magdalena Görtz ,&nbsp;Albrecht Stenzinger ,&nbsp;Markus Hohenfellner ,&nbsp;Heinz-Peter Schlemmer ,&nbsp;David Bonekamp","doi":"10.1016/j.mri.2025.110578","DOIUrl":"10.1016/j.mri.2025.110578","url":null,"abstract":"<div><h3>Objectives</h3><div>To assess variability of maximum diameter measurements of prostate lesions in MRI assessing patient repositioning, rater and sequence effects.</div></div><div><h3>Methods</h3><div>Forty-two patients were included retrospectively, who received a clinical bi−/multiparametric prostate MRI examination and agreed to have the T2-weighted (T2WI) and diffusion weighted-imaging (DWI) sequences scanned twice. Maximum diameter measurements of prostate lesions mentioned in the clinical radiologist reports were performed by four readers in multiple reading sessions for determination of inter-sequence (between two DWI sequences), inter-scan (between clinical and additional scan), intra-rater and inter-rater variability. The primary calculated metrics were the repeatability and reproducibility coefficient (RC/RDC), including pooled RC/RDC.</div></div><div><h3>Results</h3><div>Variability measured by RCs/RDCs was lowest for measurements obtained within the same reading session, with inter-scan RCs up to 5.6 mm/6.5 mm for T2WI/DWI, pooled RCs of 4.8 mm/5.8 mm, respectively, and inter-sequence RDCs of 5.4 mm–5.9 mm, pooled RDC 5.8 mm. Measurements performed in separate reading sessions demonstrated significantly higher variability for both settings in the majority of cases (RCs: up to 10.9 mm/11.7 mm/10.2 mm for T2WI/DWI/inter-sequence, <em>p</em> ≤ 0.002), pooled RCs/RDCs 9.2 mm–9.9 mm. Measurements necessarily generated in different reading sessions, i.e., intra-rater or inter-rater, demonstrated high variability (RCs/RDCs up to 11.4 mm/11.5 mm for T2WI/DWI).</div></div><div><h3>Conclusions</h3><div>Prostate lesion measurements demonstrate considerable variability. When measured in one reading session by one rater, lesion diameter differences below the pooled RCs of 4.8 mm, 95 %-CI [3.9, 5.6] for T2WI and 5.8 mm, 95 %-CI [4.7, 7.1] for DWI should not necessarily assumed to be true biological change, as these differences may result from measurement- or repositioning-based variability alone. Caution needs to be taken assessing size changes.</div></div>","PeriodicalId":18165,"journal":{"name":"Magnetic resonance imaging","volume":"127 ","pages":"Article 110578"},"PeriodicalIF":2.0,"publicationDate":"2026-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145634519","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":"Time-dependent diffusion-weighted MRI discriminates hepatocellular carcinoma from intrahepatic cholangiocarcinoma: A prospective animal model study","authors":"Yong-Mei Huang ,&nbsp;Yu-Chen Wei ,&nbsp;Xing-Qing Qin ,&nbsp;Meng-Na Lan ,&nbsp;Jin-Yuan Liao","doi":"10.1016/j.mri.2025.110601","DOIUrl":"10.1016/j.mri.2025.110601","url":null,"abstract":"<div><h3>Objective</h3><div>To evaluate the diagnostic potential of microstructural parameters derived from time-dependent diffusion magnetic resonance imaging (Td-dMRI) for distinguishing hepatocellular carcinoma (HCC) from intrahepatic cholangiocarcinoma (ICC).</div></div><div><h3>Methods</h3><div>We established nude mouse models bearing subcutaneous xenografts of HCC (MHCC97H, HepG2 cell lines) and ICC (QBC939 cell line) (<em>n</em> = 30). All models underwent Td-dMRI scanning. Microstructural parameters, including cell diameter (<em>d</em>), extracellular diffusion coefficient (<em>D</em>_ex), intracellular volume fraction (<em>V</em>_in), and cellularity, were calculated based on the IMPULSED model. Intergroup differences were assessed using independent samples <em>t</em>-test or Mann-Whitney <em>U</em> test (significance threshold: <em>P</em> &lt; 0.05). The diagnostic performance of each parameter was evaluated by receiver operating characteristic (ROC) curve analysis. Post-operative liver tissue specimens were subjected to <em>β</em>-catenin immunohistochemical staining to validate the correlation between imaging parameters and pathological findings.</div></div><div><h3>Results</h3><div>The ICC group exhibited significantly higher <em>D</em>_ex values compared to the HCC group (<em>P</em> &lt; 0.05), whereas <em>d</em>, <em>V</em>_in, and cellularity were significantly lower in the ICC group (<em>P</em> &lt; 0.05). The areas under the ROC curve (AUCs) for differentiating HCC from ICC were 0.838 for <em>D</em>_ex, 0.779 for <em>d</em>, 0.833 for <em>V</em>_in, and 0.733 for cellularity. The <em>d</em> value measured by Td-dMRI showed a significant positive correlation with pathological results (<em>r</em> = 0.634, <em>P</em> &lt; 0.05). Notably, combining <em>V</em>_in and cellularity parameters enhanced the AUC to 0.95, outperforming any single parameter.</div><div>The ICC group exhibited a significantly higher extracellular diffusivity (<em>D</em>_ex) compared to the HCC group, whereas the cell diameter (<em>d</em>), intracellular volume fraction (<em>V</em>_in), and cellularity were significantly lower (all <em>P</em> &lt; 0.05). The area under the.</div></div><div><h3>Conclusion</h3><div>Td-dMRI enables non-invasive differentiation between HCC and ICC by quantifying distinct tumor microstructural environments. The parameters derived from this technique show promise as potential imaging biomarkers for subtyping liver cancers.</div></div>","PeriodicalId":18165,"journal":{"name":"Magnetic resonance imaging","volume":"127 ","pages":"Article 110601"},"PeriodicalIF":2.0,"publicationDate":"2026-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145857030","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":"Functional MRI quantitative parameters as biomarkers of proliferation in synovial sarcoma xenografts: A study based on precise MR imaging-pathology correlation","authors":"Chengjiang Xu ,&nbsp;Yasmin Mushtaq ,&nbsp;Xiaoge Liu ,&nbsp;Guijiao Qin ,&nbsp;Juan Tao ,&nbsp;Yajie Liu ,&nbsp;Jinge Li ,&nbsp;Xinyu Yang ,&nbsp;Shaowu Wang","doi":"10.1016/j.mri.2025.110594","DOIUrl":"10.1016/j.mri.2025.110594","url":null,"abstract":"<div><h3>Purpose</h3><div>To determine whether quantitative parameters from diffusion-weighted imaging (DWI), intravoxel incoherent motion (IVIM), and dynamic contrast-enhanced MRI (DCE-MRI) are associated with proliferative activity in synovial sarcoma (SS) xenografts.</div></div><div><h3>Materials and methods</h3><div>Thirty-four synovial sarcoma (SS) xenograft models were established. All mice underwent MRI, including DWI (ADC), IVIM (D, D*, f), and DCE-MRI (K^trans, K_ep, V_e). An MR imaging–pathology correlation method was used to align imaging ROIs with pathological sampling sites.</div><div>Pearson or Spearman correlation analyses were performed to assess associations between MRI parameters and proliferation-related markers (mitotic count, Ki-67, and PTEN). Differences between high and low groups for each marker were evaluated using independent-sample <em>t</em>-tests or Wilcoxon rank-sum tests. Diagnostic performance was assessed using receiver operating characteristic (ROC) curve analysis, and AUCs were compared with DeLong's test.</div></div><div><h3>Results</h3><div>The D value was significantly associated with mitotic count, Ki-67 expression, and PTEN expression (<em>P</em> = 0.022, 0.004, 0.001). V_e showed a positive association with mitotic count (<em>P</em> = 0.007), while K^trans demonstrated a moderate negative association with PTEN expression (<em>P</em> &lt; 0.001). D and V_e showed moderate ability to distinguish high from low mitotic count (AUC = 0.734 and 0.786). The D value showed moderate differentiation between Ki-67 expression groups (AUC = 0.802), and K^trans provided moderate discrimination between PTEN expression groups (AUC = 0.813).</div></div><div><h3>Conclusion</h3><div>The proliferative activity of SS xenografts could be assessed using quantitative parameters derived from IVIM and DCE-MRI.</div></div>","PeriodicalId":18165,"journal":{"name":"Magnetic resonance imaging","volume":"127 ","pages":"Article 110594"},"PeriodicalIF":2.0,"publicationDate":"2026-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145768561","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":"Adaptive regularization weight selection for compressed sensing MRI reconstruction","authors":"Yuan Lian,&nbsp;Yuancheng Jiang,&nbsp;Hua Guo","doi":"10.1016/j.mri.2025.110579","DOIUrl":"10.1016/j.mri.2025.110579","url":null,"abstract":"<div><h3>Purpose</h3><div>Proper regularization weights are crucial for the reconstruction quality of compressed sensing (CS) MRI. This work aims to develop an automatic and adaptive regularization weights selection method for CS reconstruction</div></div><div><h3>Methods</h3><div>A statistical model based on Bayesian theory is designed, incorporating prior information about the Gaussian distribution of incoherent noise and the Laplacian distribution of wavelet coefficients in the wavelet transform domain. Using the variance of coefficients and noise, the adaptive regularization weight for achieving optimal reconstruction quality in each iteration step is obtained through a maximum a posteriori estimator. The adaptive regularization weights vary across different subjects, slices, iterations, and wavelet sub-bands</div></div><div><h3>Results</h3><div>The efficacy of the proposed method was demonstrated through retrospective and prospective studies. Compared to reconstruction results using optimal fixed regularization weights and sparsity-adaptive composite recovery method (SCoRe), the proposed method successfully reduces reconstruction errors and effectively recovers original signals from noise-like incoherent artifacts in the wavelet transform domain. It also saves weight selection time when searching for optimal fixed regularization weights</div></div><div><h3>Conclusion</h3><div>We propose an adaptive regularization weights selection method for CS-MRI reconstruction. It provides optimal regularization weights for different subjects, slices, and iterations without requiring manual intervention</div></div>","PeriodicalId":18165,"journal":{"name":"Magnetic resonance imaging","volume":"127 ","pages":"Article 110579"},"PeriodicalIF":2.0,"publicationDate":"2026-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145668927","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":"Identification of functional neural networks of human brains with fMRI","authors":"Jie Huang","doi":"10.1016/j.mri.2025.110600","DOIUrl":"10.1016/j.mri.2025.110600","url":null,"abstract":"<div><div>The highly evolved human brain comprises numerous functional systems, ranging from essential sensory, motor, attention and memory networks to higher-order cognitive functions like reasoning and language. These neural systems and cognitive functions are functionally integrated together to perform a task. BOLD-fMRI measures the neural activity across the entire brain at large-scale systems level. We define a functional neural network (FNN) as a network in which the temporal variation of the neural activity is the same across the entire network, i.e., all voxels in the network share the same BOLD time signal. We report a novel data-driven method to objectively and automatically identify FNNs across the entire brain for both brain states measured with resting-state and task-fMRI, respectively. The identified FNNs demonstrate dominating bilateral and symmetric characteristics for both brain states at both individual and group levels. These FNNs and the quantification of the interaction between them characterize the whole-brain activity holistically for each brain state and each individual subject.</div></div>","PeriodicalId":18165,"journal":{"name":"Magnetic resonance imaging","volume":"127 ","pages":"Article 110600"},"PeriodicalIF":2.0,"publicationDate":"2026-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145810444","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}