Magnetic resonance imaging最新文献

{"title":"A human-compatible gradient coil for visualizing ultrasound propagation.","authors":"Paul-Emile Passe-Carlus, Davi Cavinatto, Nathan Thyberg, Carson Reed, Taylor Webb, Steven P Allen","doi":"10.1016/j.mri.2025.110447","DOIUrl":"https://doi.org/10.1016/j.mri.2025.110447","url":null,"abstract":"<p><p>In pursuit of a magnetic resonance imaging (MRI) based means to tailor transcranial focused ultrasound neuromodulation to a patient's unique skull morphology, this study presents a specialized gradient coil that sensitizes MRI images to ultrasonic vibrations at depths equivalent to the human cortex in a technique called the magnetic resonance hydrophone. The coil comprises a 60 mm diameter, pancake-style design that encodes acoustic displacements into MR images at the cost of an inhomogeneous encoding field. The coil was coupled with a 500 kHz, custom built, ultrasonic transducer. Both the magnetic field gradient of the coil and the acoustic field of the transducer were characterized in benchtop experiments. Acoustic standing waves were estimated in silico. Resulting MR images displayed a sinusoidal phase pattern modulated by both the transducer's acoustic field and the coil's magnetic field gradient. Acoustic pressures were estimated from the resulting images and compared to hydrophone measurements. The pancake-style coil produced a pressure measurement uncertainty pattern due to electronic noise that increased exponentially with depth. Uncertainty at locations between 0 and 30 mm of depth within a region approximately 10 mm wide scaled between approximately 20 kPa and 100 kPa. On average, the MRH underestimated the hydrophone by 12 kPa with the difference between the two following a standard deviation of 21 kPa.</p>","PeriodicalId":18165,"journal":{"name":"Magnetic resonance imaging","volume":" ","pages":"110447"},"PeriodicalIF":2.1,"publicationDate":"2025-06-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144326119","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":"Multiparametric radiomic analysis of MRI for predicting satellite nodules and recurrence-free survival in patients with hepatocellular carcinoma","authors":"Hai-Feng Liu,&nbsp;Yang Lu,&nbsp;Qi Liu,&nbsp;Wei Xing","doi":"10.1016/j.mri.2025.110450","DOIUrl":"10.1016/j.mri.2025.110450","url":null,"abstract":"<div><h3>Background</h3><div>To establish and vertify a nomogram model that integrates multiparametric magnetic resonance imaging (MRI) radiomic signatures and clinical features to predict satellite nodules (SNs) and recurrence-free survival (RFS) in hepatocellular carcinoma (HCC) patients.</div></div><div><h3>Methods</h3><div>Data from 244 patients with HCC who underwent multiparametric MRI were analyzed and randomly assigned into a training (<em>n</em> = 170) dataset and a validation dataset (<em>n</em> = 74). A support vector machine algorithm was employed to develop T1WI (T1-weighted imaging), T2WI (T2-weighted imaging), arterial phase (AP), portal-venous phase (PVP), and integrated MRI radiomic models. The selected signatures were combined with independent clinical factors to construct a nomogram model. The performance of these predictive models in the prediction of SNs and RFS was assessed with the AUC and Kaplan–Meier analysis, respectively.</div></div><div><h3>Results</h3><div>Portal vein tumor thrombosis and peritumoral enhancement were significant clinical indicators of SNs (<em>P</em> &lt; 0.05). In predicting SNs, the nomogram model demonstrated the highest AUC value of 0.94 in the training dataset and 0.83 in the validation dataset. This was followed by the integrated MRI (0.93 and 0.79), AP (0.92 and 0.82), T2WI (0.91 and 0.78), PVP (0.90 and 0.80), and T1WI models (0.88 and 0.77). Compared with SNs (−) patients, SNs (+) patients had a significantly lower median RFS (61.3 vs. 18.6 months, <em>P</em> &lt; 0.001). Additionally, nomogram predicted SNs (+) had a lower median RFS compared to SNs (−) (20.5 vs. 63.1 months, <em>P</em> &lt; 0.001).</div></div><div><h3>Conclusion</h3><div>The nomogram model based on multiparametric MRI radiomics signatures demonstrated substantial efficacy in predicting SNs and RFS in patients with HCC.</div></div>","PeriodicalId":18165,"journal":{"name":"Magnetic resonance imaging","volume":"122 ","pages":"Article 110450"},"PeriodicalIF":2.1,"publicationDate":"2025-06-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144314059","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":"Towards accurate MRF T₂ in structured material at 0.55T using MT-suppressed excitations.","authors":"Zhibo Zhu, Nam G Lee, Krishna S Nayak","doi":"10.1016/j.mri.2025.110444","DOIUrl":"https://doi.org/10.1016/j.mri.2025.110444","url":null,"abstract":"<p><strong>Purpose: </strong>To develop a 0.55 T FISP-MRF approach that provides more accurate T₂ maps in structured materials (e.g. white matter).</p><p><strong>Method: </strong>Non-selective low-bandwidth excitation strategies that reduce on-resonance MT effects were implemented. Dictionaries were simulated using a conventional single pool model. Estimated MRF T₂ maps using the non-selective approach with 2 pulse durations were compared against MRF T₂ maps using the conventional slab-selective approach, and against conventional but slow reference measurements.</p><p><strong>Results: </strong>The proposed approach substantially reduces T₂ underestimation in white matter from ~40 % to <10 % without compromising precision.</p><p><strong>Conclusion: </strong>The use of non-selective low-bandwidth excitations substantially reduces MT effects in 0.55T FISP-MRF, enabling use of a single pool model. This is particularly important for MRF at low field strengths and in structured materials such as white matter.</p>","PeriodicalId":18165,"journal":{"name":"Magnetic resonance imaging","volume":" ","pages":"110444"},"PeriodicalIF":2.1,"publicationDate":"2025-06-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144275301","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":"Neurovascular coupling alterations in cerebral small vessel disease: A multi-delayed ASL and fMRI perspective on cognitive impairment","authors":"Peng Zeng ,&nbsp;Bang Zeng ,&nbsp;Dan Luo ,&nbsp;Binglan Li ,&nbsp;Yuling Peng ,&nbsp;Yayun Xiang ,&nbsp;Dan Wang ,&nbsp;Ying Chai ,&nbsp;Yongmei Li","doi":"10.1016/j.mri.2025.110425","DOIUrl":"10.1016/j.mri.2025.110425","url":null,"abstract":"<div><h3>Background</h3><div>To explore the alteration of neurovascular coupling (NVC), relationships between neuroimaging metrics with clinical assessments, and classification metrics in cerebral small vessel disease (CSVD).</div></div><div><h3>Methods</h3><div>Participants were grouped into healthy control, CSVD with normal cognition, and CSVD with cognition impairment according to CSVD scales and Montreal Cognitive Assessment. Cerebral blood flow (CBF) adjusted for arterial transit time and dynamic/static amplitude of low-frequency fluctuation (dALFF, ALFF) were combined to evaluate NVC and to determine intergroup differences. Partial Spearman Correlation between measures from abnormal brain areas and scores of clinical assessments were operated. Multivariate pattern analysis was applied to determine the most effective classification metrics among groups.</div></div><div><h3>Results</h3><div>Cross-voxel correlation was lower in CSVD compared to healthy control. Abnormal brain regions were presented mainly in sensorimotor cortex, limbic/paralimbic system, and basal ganglia in CSVD. Notably, correlations between clinical assessment scores and NVC-related metrics in these areas were significant before correction. CBF/ALFF ratio exhibited superior classification performance between healthy control and CSVD with normal cognition, while a combination of dALFF and CBF effectively differentiated between CSVD patients with normal and impaired cognition.</div></div><div><h3>Conclusions</h3><div>Our investigation finds neurovascular decoupling using ATT-corrected CBF, dALFF and ALFF, as well as suggests effective classification metrics in CSVD with/without cognition impairment, potentially improving diagnostic and therapeutic strategies.</div></div>","PeriodicalId":18165,"journal":{"name":"Magnetic resonance imaging","volume":"122 ","pages":"Article 110425"},"PeriodicalIF":2.1,"publicationDate":"2025-06-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144248600","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":"Attenuation of MR spin-echo signal by restricted diffusion confined to a laminar system and a large rectangular box","authors":"Krzysztof Szymański ,&nbsp;Łukasz Łabieniec ,&nbsp;Grzegorz Domański ,&nbsp;Piotr Bogorodzki","doi":"10.1016/j.mri.2025.110446","DOIUrl":"10.1016/j.mri.2025.110446","url":null,"abstract":"<div><div>We investigate magnetic resonance (MR) signal attenuation caused by confined by restricted diffusion confined to a laminar system and a large rectangular box using the pulsed gradient spin-echo MR method. Applying asymptotic expansions, we derive corrections up to order <span><math><mn>1</mn><mo>/</mo><msup><mi>L</mi><mn>2</mn></msup></math></span>, where <span><math><mi>L</mi></math></span> is the characteristic system size, and show that in the limit of large <span><math><mi>L</mi></math></span>, the attenuation converges to the free diffusion expression. In the fast diffusion regime, where <span><math><msup><mi>γ</mi><mn>2</mn></msup><msup><mi>G</mi><mn>2</mn></msup><msup><mi>δ</mi><mn>2</mn></msup><mi>D</mi><mo>∆</mo><mo>≫</mo><mn>1</mn></math></span>, interference effects become significant, limiting the applicability of the asymptotic expansion. Our findings refine diffusion-weighted MRI models and provide insights into confined molecular transport.</div></div>","PeriodicalId":18165,"journal":{"name":"Magnetic resonance imaging","volume":"122 ","pages":"Article 110446"},"PeriodicalIF":2.1,"publicationDate":"2025-06-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144248599","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":"Comparing single-shot EPI and 2D-navigated, multi-shot EPI diffusion tensor imaging acquisitions in the lumbar spinal cord at 3T","authors":"Alicia E. Cronin ,&nbsp;Anna Combes ,&nbsp;Lipika Narisetti ,&nbsp;Grace Sweeney ,&nbsp;Logan Prock ,&nbsp;Delaney Houston ,&nbsp;Caroline Seehorn ,&nbsp;Kurt G. Schilling ,&nbsp;Ryan K. Robison ,&nbsp;Seth A. Smith ,&nbsp;Kristin P. O'Grady","doi":"10.1016/j.mri.2025.110445","DOIUrl":"10.1016/j.mri.2025.110445","url":null,"abstract":"<div><div>Diffusion tensor imaging (DTI) can provide insights into spinal cord microstructure in health and disease; however, its application has been largely limited to cervical spinal segments using single-shot echo-planar imaging (EPI) diffusion-weighted MRI acquisitions. In this work, we evaluate a multi-shot EPI diffusion-weighted acquisition with reduced field-of-view (FOV) and 2D-navigated motion correction applied in the lumbar spinal cord of healthy volunteers, and compare image quality, geometric distortions, and quantitative DTI indices to those obtained with conventional, single-shot EPI diffusion-weighted MRI in a distinct, age/sex-matched healthy cohort. At 3 Tesla, 25 and 27 healthy participants were imaged using the single-shot and multi-shot EPI readouts with diffusion weighting, respectively, with matching resolution and comparable scan time. Seven participants underwent both diffusion acquisitions and were included in both cohorts. DTI indices were compared between the multi-shot and single-shot cohorts. Image signal-to-noise ratio (SNR), contrast-to-noise ratio (CNR) between gray and white matter, geometric distortions, and within-subject bias between the acquisitions were also assessed. The lumbar spinal cord diffusion indices derived from both cohorts were comparable to those in previous studies using single-shot EPI, though within-subject analysis demonstrated a systematic bias between the acquisitions in gray and white matter DTI measures, indicating these acquisitions are not interchangeable within a study. The multi-shot quantitative DTI maps demonstrated a significant reduction in image artifacts (i.e., distortions and blurring) and higher SNR and CNR compared to single-shot images. Overall, the reduced FOV, 2D-navigated, motion-corrected multi-shot acquisition demonstrated improved DTI quality metrics compared to single-shot, supporting its application for the lumbar spinal cord region.</div></div>","PeriodicalId":18165,"journal":{"name":"Magnetic resonance imaging","volume":"122 ","pages":"Article 110445"},"PeriodicalIF":2.1,"publicationDate":"2025-06-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144239984","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":"Rapid 1 mm isotropic diffusion tensor imaging with denoising and improved parameter estimation for detecting focal hippocampal lesions in temporal lobe epilepsy","authors":"Pablo Stack-Sanchez ,&nbsp;Christian Beaulieu ,&nbsp;Donald W. Gross","doi":"10.1016/j.mri.2025.110443","DOIUrl":"10.1016/j.mri.2025.110443","url":null,"abstract":"<div><div>While high resolution diffusion tensor imaging (DTI) at 1 mm isotropic can detect focal lesions of the hippocampus in temporal lobe epilepsy (TLE), faster acquisition times would facilitate potential clinical implementation. The purpose here is to assess different published denoising algorithms to overcome the low signal-to-noise ratio and accelerate 1 mm isotropic DTI of the human hippocampus at 3 T while maintaining diffusivity metric accuracy and image quality for focal lesion detection in TLE. The previously published 5.5 min protocol of 110 diffusion images per slice (10 directions × 10 averages and 10 b = 0 s/mm²) was assessed for subsets of 1–10 averages (same 10 directions) that were denoised using four algorithms that have been applied to other diffusion MRI datasets. In healthy controls, the variance-stabilizing transformation and optimal singular-value manipulation (VST) and Non-Local Spatial and Angular Matching (NLSAM) denoising greatly improved image quality while minimizing voxels with spurious extremes of fractional anisotropy (FA) or mean diffusivity (MD) down to 4 averages (i.e. 40 diffusion images and 4 b = 0 s/mm²) in healthy controls. The identification of focal lesions indicated by elevated MD and alterations of internal micro-architecture with only 4 averages were comparable to the full data set of 10 averages. Therefore, denoising of 1 mm isotropic DTI of the hippocampus enables a clinically feasible scan time of 2.2 min at 3 T that can be used for the detection of focal hippocampal lesions in TLE, as well as other neurological disorders such as multiple sclerosis, dementia and Alzheimer's disease.</div></div>","PeriodicalId":18165,"journal":{"name":"Magnetic resonance imaging","volume":"122 ","pages":"Article 110443"},"PeriodicalIF":2.1,"publicationDate":"2025-06-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144212067","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":"Prediction of HER-2 expression status in breast cancer based on multi-parameter MRI intratumoral and peritumoral radiomics","authors":"Mingtai Cao ,&nbsp;Xinyi Liu ,&nbsp;Airu Yang ,&nbsp;Yuan Xu ,&nbsp;Qian Zhang ,&nbsp;Yuntai Cao","doi":"10.1016/j.mri.2025.110434","DOIUrl":"10.1016/j.mri.2025.110434","url":null,"abstract":"<div><h3>Background</h3><div>This study aims to explore the value of multiparametric magnetic resonance imaging (MRI) techniques—dynamic contrast-enhanced MRI (DCE-MRI), diffusion-weighted imaging (DWI), and T2-weighted fat-suppressed imaging (T2WI)—in predicting human epidermal growth factor receptor 2 (HER-2) status in breast cancer by integrating intratumoral and peritumoral radiomics features to establish a multiparametric MRI intratumoral and peritumoral radiomics model.</div></div><div><h3>Methods</h3><div>A retrospective cohort of 266 female breast cancer patients was analyzed. Patients from Center 1 (<em>n</em> = 199) were divided into a training set (<em>n</em> = 140) and internal validation set (<em>n</em> = 59; 7:3 ratio), while Center 2 (<em>n</em> = 67) provided the external test set. Using 3D Slicer, tumor boundaries were manually segmented on T2WI, DWI, and DCE-MRI to define intratumoral volumes of interest (VOIs). These VOIs were expanded by 3 mm to generate peritumoral regions (VOI_Peri3mm). Radiomics features were extracted from both regions, optimized via feature selection, and used to train eight random forest (RF) models. Performance was evaluated using receiver operating characteristic (ROC) curves, calibration curves, and decision curve analysis (DCA).</div></div><div><h3>Results</h3><div>The multiparametric MRI intratumoral and peritumoral radiomics model (DWI_Peri3 + T2WI_Peri3 + DCE_Peri3_RF) demonstrated optimal HER-2 prediction, achieving area under the curve (AUC) values of 0.822 (95 % CI:0.755–0.889), 0.823 (0.714–0.932), and 0.813 (0.712–0.914) in the training, internal validation, and external test sets, respectively. It significantly outperformed single-parameter or single-region models and maintained cross-cohort consistency.</div></div><div><h3>Conclusion</h3><div>The intratumoral-peritumoral radiomics fusion model integrating DWI, T2WI, and DCE-MRI provides high diagnostic accuracy for HER-2 assessment, offering non-invasive biomarkers and enhancing precision in breast cancer management.</div></div>","PeriodicalId":18165,"journal":{"name":"Magnetic resonance imaging","volume":"122 ","pages":"Article 110434"},"PeriodicalIF":2.1,"publicationDate":"2025-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144216261","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":"Noise-robust foreground segmentation of multispectral imaging calibration volume in the presence of metallic implants for spectral range estimation in phantom and in-vivo data","authors":"Venkata Veerendranadh Chebrolu ,&nbsp;Mathias Nittka ,&nbsp;Constantin von Deuster ,&nbsp;Azadeh Sharafi ,&nbsp;Andrew Nencka ,&nbsp;Hollis G. Potter ,&nbsp;Kevin M. Koch","doi":"10.1016/j.mri.2025.110432","DOIUrl":"10.1016/j.mri.2025.110432","url":null,"abstract":"<div><h3>Purpose</h3><div>Multispectral Imaging (MSI) methods can use a calibration scan to estimate an off-resonance field-map to determine the spectral range required to cover off-resonant signal in the presence of metallic implants of various shape and composition. Background signal noise can corrupt the field-map estimation in this calibration process. Previous work on foreground segmentation used a cumulative distribution function (CDF) to remove signal extrema, which can remove regions of true off-resonance signal from the calibration analysis.</div><div>The purpose of this work is to develop a foreground segmentation method robust to background noise in both phantom and in-vivo data to support calibrating the spectral range needed for MSI acquisitions.</div></div><div><h3>Methods</h3><div>The proposed method uses information from individual spectral bins, rather than a composite bin-combined image, for segmentation. Ten phantom (seven with metal) and ten in-vivo (six with metal) data were acquired using a prototype MSI spectral calibration sequence. Field-maps were estimated and spectral range estimates from the unmasked field-map and the proposed method were computed and compared using a paired sample Wilcoxon signed-rank test.</div></div><div><h3>Results</h3><div>The proposed method achieved a noise-robust foreground segmentation in both phantom and in-vivo data, in the presence or absence of metal devices. The Wilcoxon test showed a statistically significant difference between the spectral range estimates from the unmasked field-map and proposed method for both the phantom and in-vivo data (<em>p</em>-value: 0.002).</div></div><div><h3>Conclusion</h3><div>Noise-robust foreground segmentation achieved by the proposed method can improve the accuracy and robustness of spectral range estimates for time-efficient and reduced artifact multispectral imaging.</div></div>","PeriodicalId":18165,"journal":{"name":"Magnetic resonance imaging","volume":"122 ","pages":"Article 110432"},"PeriodicalIF":2.1,"publicationDate":"2025-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144213197","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":"Longitudinal quantitative MRI in prostate cancer after radiation therapy with and without androgen deprivation therapy","authors":"Yu-Feng Wang ,&nbsp;Sirisha Tadimalla ,&nbsp;Niluja Thiruthaneeswaran ,&nbsp;Lois Holloway ,&nbsp;Sandra Turner ,&nbsp;Amy Hayden ,&nbsp;Mark Sidhom ,&nbsp;Jarad Martin ,&nbsp;Annette Haworth","doi":"10.1016/j.mri.2025.110431","DOIUrl":"10.1016/j.mri.2025.110431","url":null,"abstract":"<div><h3>Background and purpose</h3><div>Early detection of locally recurring prostate cancer (PCa) after definitive radiation therapy (RT) offers the opportunity to deliver targeted salvage therapies, thereby reducing the risk of disease progression. Quantitative MRI (qMRI) parameters show promise as imaging biomarkers for early detection of local recurrence. However, the feasibility of using qMRI for response monitoring in patients undergoing RT combined with androgen deprivation therapy (ADT) remains uncertain. Here, we identified the qMRI parameters with potential to reliably detect post-RT response in PCa and compared the response in patients receiving RT combined with ADT versus those receiving RT alone.</div></div><div><h3>Materials and methods</h3><div>qMRI scans were acquired before and at 6-, 12-, and 18-months after standard definitive RT in sixteen patients with localised PCa. Patients undergoing neoadjuvant ADT were also scanned pre-ADT. Mean value of ADC, D, f, HS, R2*, T1, K^trans, v_e within the tumour were calculated at each imaging timepoint. Statistical significance of treatment-related changes was assessed using rANOVA and post hoc two-tailed <em>t</em>-test. Changes relative to the baseline scan exceeding the parameter uncertainty were classified as “detectable”.</div></div><div><h3>Results</h3><div>K^trans and HS measured at 18-months post-RT were found to be most reliable for detecting treatment response regardless of ADT use. Significant post-treatment changes were observed in other qMRI parameters but were unreliable due to large measurement uncertainties.</div></div><div><h3>Conclusions</h3><div>Quantitative MRI show promise for reliably detecting treatment response within 18-months post-RT. Future clinical trials should validate the potential of K^trans and HS by correlating these parameters with treatment outcomes.</div></div>","PeriodicalId":18165,"journal":{"name":"Magnetic resonance imaging","volume":"122 ","pages":"Article 110431"},"PeriodicalIF":2.1,"publicationDate":"2025-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144205713","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}