Magnetic Resonance Materials in Physics, Biology and Medicine最新文献

{"title":"Correction: Easy scalable, low-cost open-source magnetic field detection system for evaluating low-field MRI magnets using a motion-tracked robot.","authors":"Pavel Povolni, Robin Bendfeld, Sergej Maltsev, Judith Samlow, Felix Glang, Praveen Iyyappan Valsala, Dominique Goerner, Dario Bosch, Sebastian Mueller, Florian Birk, Kai Buckenmaier, Klaus Scheffler","doi":"10.1007/s10334-025-01258-y","DOIUrl":"https://doi.org/10.1007/s10334-025-01258-y","url":null,"abstract":"","PeriodicalId":18067,"journal":{"name":"Magnetic Resonance Materials in Physics, Biology and Medicine","volume":" ","pages":""},"PeriodicalIF":2.0,"publicationDate":"2025-05-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144150985","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 spatial resolution in prostate MR images: the utility of the ladder method.","authors":"Tomokazu Takeuchi, Norio Hayashi, Yusuke Sato, Kouichi Ujita, Ayako Taketomi-Takahashi, Hiromi Hirasawa, Aya Takase, Terutaka Yoshihara, Takayuki Yokota, Takayuki Suto, Yoshito Tsushima","doi":"10.1007/s10334-025-01264-0","DOIUrl":"https://doi.org/10.1007/s10334-025-01264-0","url":null,"abstract":"<p><strong>Background: </strong>Evaluating prostate MRI resolution is challenging due to motion artifacts caused by body movement or intestinal gas, which can degrade image quality. One simple approach to resolution assessment is the ladder method, but reports of its application to clinical images remain limited. This study aimed to compare the ladder method with visual evaluation to assess its utility.</p><p><strong>Methods: </strong>T2-weighted images of the prostate in healthy volunteers and a ladder phantom at various resolutions with altered pixel sizes (0.5, 0.7, 0.9 and 1.1 mm) were acquired. Three radiologists conducted visual evaluations of the prostate images. Correlation coefficients between the visual evaluation scores and the ladder index (LI) obtained from the ladder method were compared.</p><p><strong>Results: </strong>Average visual evaluation scores were 7.7, 5.9, 3.8, and 2.1, while the spatial frequencies corresponding to LI = 0.5 (50%LI) were 0.86, 0.81, 0.54, and 0.42 cycles/mm for each pixel size ranging from 0.5 to 1.1 mm, demonstrating higher values at smaller pixel sizes. The correlation coefficients exceeded 0.7 at most spatial frequencies, indicating a strong correlation. Inter-reader agreement was high (Kendall's W = 0.87), indicating consistent evaluation among radiologists.</p><p><strong>Conclusions: </strong>Spatial resolution for prostate MRI could be evaluated objectively using the ladder method.</p>","PeriodicalId":18067,"journal":{"name":"Magnetic Resonance Materials in Physics, Biology and Medicine","volume":" ","pages":""},"PeriodicalIF":2.0,"publicationDate":"2025-05-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144143125","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":"Systematic comparison of semi-automated VBM pipelines for assessing chemoradiotherapy effects on the tumoural and non-tumoural brain in glioblastoma multiforme.","authors":"Eu Jin Lim, Pohchoo Seow, Aditya Tri Hernowo, Nicole Keong Chwee Har","doi":"10.1007/s10334-025-01263-1","DOIUrl":"https://doi.org/10.1007/s10334-025-01263-1","url":null,"abstract":"<p><strong>Objective: </strong>Current voxel-based morphometry (VBM) studies of chemoradiotherapy effects on healthy tissues of the glioblastoma multiforme (GBM) brain faces challenges with neuroanatomical distortions (tumour, tumour oedema and resection cavities). Our aim is to compare current semi-automated segmentation methods and evaluate their reliability in investigating the effects of chemoradiotherapy on the tumoural and non-tumoural brain.</p><p><strong>Materials and methods: </strong>VBM pipelines of CAT12 and FSL were performed and compared on an open-sourced imaging brain tumour dataset (Burdenko's Glioblastoma Progression dataset). The pre- and post-chemoradiotherapy grey (GM) and white matter (WM), and cerebrospinal fluid (CSF) volumes of whole brain, tumour-containing and nontumour containing hemispheres were derived and compared between both pipelines. Brain volumetric agreement and consistency between FSL and CAT12 were assessed using Bland-Altman plots and Intraclass correlation coefficient (ICC).</p><p><strong>Results: </strong>Post-chemoradiotherapy GM volumes were significantly reduced in whole brain, tumour-containing and nontumour-containing hemispheres with a compensatory significant increase in CSF volumes, while WM volumes had no significant changes. Visual inspection revealed misclassification of tissue classes in the presence of neuroanatomical distortion for both pipelines, but FSL demonstrated superiority in tissue classification in the presence of a haematoma. Consequentially, Bland-Altman plots and ICC showed better agreement and consistency between FSL and CAT12 in GM_ICC (0.70 (0.53-0.82); p < 0.001), WM_ICC (0.75 (0.60-0.85); p < 0.001) and CSF_ICC (0.55 (0.32-0.71); p < 0.001) volumes of nontumour-containing hemispheres than whole brain and tumour-containing hemispheres.</p><p><strong>Conclusions: </strong>VBM studies of chemoradiotherapy effects on the brain post-tumour resection remain challenging due to neuroanatomical distortions. A reliable alternative is to use nontumour-containing hemispheres with no anatomical distortion.</p>","PeriodicalId":18067,"journal":{"name":"Magnetic Resonance Materials in Physics, Biology and Medicine","volume":" ","pages":""},"PeriodicalIF":2.0,"publicationDate":"2025-05-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144143158","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":"3D multi-phase balanced non-steady-state free precession acquisition for multi-parameter mapping.","authors":"Riwaj Byanju, Gyula Kotek, Mika W Vogel, Stefan Klein, Juan A Hernandez-Tamames, Dirk H J Poot","doi":"10.1007/s10334-025-01262-2","DOIUrl":"https://doi.org/10.1007/s10334-025-01262-2","url":null,"abstract":"<p><strong>Objective: </strong>This study presents the 3D MP-b-nSSFP sequence for multi-parametric mapping.</p><p><strong>Methods: </strong>We evaluate several aspects of the 3D implementation, like the type of RF pulse (selective/non-selective), the readout duration, the undersampling pattern, and the acceleration factor. We use undersampled scans with subspace-constrained reconstruction and extended spiral readouts to achieve clinically acceptable scan times. The repeatability and accuracy of the <math><msub><mi>T</mi> <mn>1</mn></msub> </math> and <math><msub><mi>T</mi> <mn>2</mn></msub> </math> maps are compared with a reference technique in phantom and three volunteer scans.</p><p><strong>Results: </strong>Compared with selective refocusing pulses, we observe lower bias with non-selective pulses, despite modeling the spatially varying effect of the pulses in the fitting process. <math><msub><mi>T</mi> <mn>1</mn></msub> </math> and <math><msub><mi>T</mi> <mn>2</mn></msub> </math> maps obtained from phantom scans were comparable to the nominal values and those from reference scans. <math><msub><mi>T</mi> <mn>1</mn></msub> </math> values in vivo were underestimated compared to the reference scan. The maps with an acquisition matrix of <math><mrow><mn>256</mn> <mo>×</mo> <mn>256</mn> <mo>×</mo> <mn>44</mn></mrow> </math> and resolution <math><mrow><mn>1</mn> <mo>×</mo> <mn>1</mn> <mo>×</mo> <mn>3</mn></mrow> </math> <math><msup><mtext>mm</mtext> <mn>3</mn></msup> </math> were acquired in 11 min.</p><p><strong>Conclusion: </strong>We show that 3D MP-b-nSSFP can be used for multi-parameter mapping within clinically acceptable scan time. Phantom scans show results in good agreement with reference scan results. However, the in vivo scan underestimated <math><msub><mi>T</mi> <mn>1</mn></msub> </math> .</p>","PeriodicalId":18067,"journal":{"name":"Magnetic Resonance Materials in Physics, Biology and Medicine","volume":" ","pages":""},"PeriodicalIF":2.0,"publicationDate":"2025-05-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144143124","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":"Quantitative image quality metrics enable resource-efficient quality control of clinically applied AI-based reconstructions in MRI.","authors":"Owen A White, Joshua Shur, Francesca Castagnoli, Geoff Charles-Edwards, Brandon Whitcher, David J Collins, Matthew T D Cashmore, Matt G Hall, Spencer A Thomas, Andrew Thompson, Ciara A Harrison, Georgina Hopkinson, Dow-Mu Koh, Jessica M Winfield","doi":"10.1007/s10334-025-01253-3","DOIUrl":"https://doi.org/10.1007/s10334-025-01253-3","url":null,"abstract":"<p><strong>Objective: </strong>AI-based MRI reconstruction techniques improve efficiency by reducing acquisition times whilst maintaining or improving image quality. Recent recommendations from professional bodies suggest centres should perform quality assessments on AI tools. However, monitoring long-term performance presents challenges, due to model drift or system updates. Radiologist-based assessments are resource-intensive and may be subjective, highlighting the need for efficient quality control (QC) measures. This study explores using image quality metrics (IQMs) to assess AI-based reconstructions.</p><p><strong>Materials and methods: </strong>58 patients undergoing standard-of-care rectal MRI were imaged using AI-based and conventional T2-weighted sequences. Paired and unpaired IQMs were calculated. Sensitivity of IQMs to detect retrospective perturbations in AI-based reconstructions was assessed using control charts, and statistical comparisons between the four MR systems in the evaluation were performed. Two radiologists evaluated the image quality of the perturbed images, giving an indication of their clinical relevance.</p><p><strong>Results: </strong>Paired IQMs demonstrated sensitivity to changes in AI-reconstruction settings, identifying deviations outside ± 2 standard deviations of the reference dataset. Unpaired metrics showed less sensitivity. Paired IQMs showed no difference in performance between 1.5 T and 3 T systems (p > 0.99), whilst minor but significant (p < 0.0379) differences were noted for unpaired IQMs.</p><p><strong>Discussion: </strong>IQMs are effective for QC of AI-based MR reconstructions, offering resource-efficient alternatives to repeated radiologist evaluations. Future work should expand this to other imaging applications and assess additional measures.</p>","PeriodicalId":18067,"journal":{"name":"Magnetic Resonance Materials in Physics, Biology and Medicine","volume":" ","pages":""},"PeriodicalIF":2.0,"publicationDate":"2025-05-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144135906","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":"Multi-center and multi-vendor evaluation study across 1.5 T and 3 T scanners (part 2): T1 and T2 standardization in the ISMRM/NIST MR phantom.","authors":"Siria Pasini, Steffen Ringgaard, Tau Vendelboe, Leyre Garcia-Ruiz, Anika Strittmatter, Giulia Villa, Anish Raj, Rebeca Echeverria-Chasco, Michela Bozzetto, Paolo Brambilla, Malene Aastrup, Esben S S Hansen, Luisa Pierotti, Matteo Renzulli, Susan T Francis, Frank G Zöllner, Christoffer Laustsen, Maria A Fernandez-Seara, Anna Caroli","doi":"10.1007/s10334-025-01260-4","DOIUrl":"https://doi.org/10.1007/s10334-025-01260-4","url":null,"abstract":"<p><strong>Objective: </strong>To assess multi-site and multi-vendor accuracy, and intra- and inter-scanner variability of T1 and T2 measurements using the ISMRM/NIST System MRI phantom at room temperature.</p><p><strong>Materials and methods: </strong>T1 and T2 measurements were acquired using standardized NIST protocols on 13 scanners (1.5 T and 3 T) from 3 vendors at 7 sites and compared with reference values at room temperature. Pearson's correlation (r) and accuracy error were used for comparison with reference values, while inter-scanner agreement was assessed using the coefficient of variation (CV%). Short-term reproducibility was evaluated using Bland-Altman plots and precision error. Generalized linear mixed models and post hoc tests (α = 0.05) were adopted to compare accuracy and precision across field strengths, vendors, and scanners. T2 measurements were corrected with StimFit toolbox for stimulated echo compensation.</p><p><strong>Results: </strong>T1 and T2 measurements had excellent correlation with reference values at both field strengths. Stimfit significantly improved T2 accuracy in the renal range for 9 of 13 scanners. Short-term reproducibility (limits of agreement < 10%) and inter-scanner agreement were good (median CV < 7%) for both T1 and T2 values. Inter-scanner CV was < 5% in the renal range for both parameters.</p><p><strong>Discussion: </strong>These findings support the need of scanner evaluation processes to ensure reliable T1-T2 measurements in multi-center MRI studies.</p>","PeriodicalId":18067,"journal":{"name":"Magnetic Resonance Materials in Physics, Biology and Medicine","volume":" ","pages":""},"PeriodicalIF":2.0,"publicationDate":"2025-05-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144086472","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":"<ArticleTitle xmlns:ns0=\"http://www.w3.org/1998/Math/MathML\">Longitudinal relaxation rate ( <ns0:math><ns0:msub><ns0:mi>R</ns0:mi> <ns0:mn>1</ns0:mn></ns0:msub> </ns0:math> ) in lung: a systematic review and meta-analysis.","authors":"Lucy Edwards, Geoff J M Parker, John C Waterton, Marta Tibiletti","doi":"10.1007/s10334-025-01259-x","DOIUrl":"https://doi.org/10.1007/s10334-025-01259-x","url":null,"abstract":"<p><strong>Objective: </strong>The lung magnetic resonance longitudinal relaxation rate <math><msub><mi>R</mi> <mn>1</mn></msub> </math> varies with disease but reported values in healthy subjects (HS) also differ markedly between studies.</p><p><strong>Objective: </strong>To evaluate the reported values and variances of observed <math><msub><mi>R</mi> <mn>1</mn></msub> </math> accounting for field strength <math><msub><mi>B</mi> <mn>0</mn></msub> </math> , acquisition method, and disease.</p><p><strong>Materials and methods: </strong>A systematic literature search was performed to identify studies quantifying <math><msub><mi>R</mi> <mn>1</mn></msub> </math> or its reciprocal <math><msub><mi>T</mi> <mn>1</mn></msub> </math> . The relationship between field strength and observed R₁ was analysed in all healthy subject data. Data were fit to the heuristic equation <math> <mrow><msub><mi>R</mi> <mn>1</mn></msub> <mo>=</mo> <mi>B</mi> <mrow></mrow> <mo>∗</mo> <msubsup><mrow><mo>(</mo> <mi>B</mi></mrow> <mrow><mn>0</mn></mrow> <mi>A</mi></msubsup> <mrow><mo>)</mo></mrow> </mrow> </math> . The variances between-study <math><mrow><mi>bs</mi></mrow> </math> , within-study-between-subject <math><mrow><mi>wsbs</mi></mrow> </math> , and within-study-within-subject <math><mrow><mi>wsws</mi></mrow> </math> , in HS were assessed. Linear correlation between observed R₁ and TE was also investigated.</p><p><strong>Results: </strong>Fifty-nine papers were selected, 50 quantifying R₁ in HS and 20 in disease, representing 1559 human and non-human subjects, with <math><msub><mi>B</mi> <mn>0</mn></msub> </math> ranging from 0.2 T to 9.4 T. In HS, the result of the fit on all healthy subjects was A = -0.227 ± 0.020 s^-1 T^-1, B = 0.923 ± 0.014 s^-1 with variance components <math><mrow><mi>b</mi> <mi>s</mi> <mo>></mo> <mi>w</mi> <mi>s</mi> <mi>b</mi> <mi>s</mi> <mo>></mo> <mi>w</mi> <mi>s</mi> <mi>w</mi> <mi>s</mi></mrow> </math> . The reference values for R₁ at <math><msub><mi>B</mi> <mn>0</mn></msub> </math> between 0.55 T and 7 T were derived. For inversion recovery with gradient echo readout at 1.5 T, a previously observed negative relationship between <math><msub><mi>R</mi> <mn>1</mn></msub> </math> and TE was confirmed.</p><p><strong>Discussion: </strong>We provide reference values for lung <math><msub><mi>R</mi> <mn>1</mn></msub> </math> across all commonly used field strengths. The variation in HS lung observed <math><msub><mi>R</mi> <mn>1</mn></msub> </math> reported in different studies in different centres likely reflects methodological differences. Investigators wishing to compare lung <math><msub><mi>R</mi> <mn>1</mn></msub> </math> values with previous reports should take account of this irreproducibility, and multicentre projects should standardise to minimise between-centre variance.</p>","PeriodicalId":18067,"journal":{"name":"Magnetic Resonance Materials in Physics, Biology and Medicine","volume":" ","pages":""},"PeriodicalIF":2.0,"publicationDate":"2025-05-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144078972","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":"An unsupervised method for MRI recovery: deep image prior with structured sparsity.","authors":"Muhammad Ahmad Sultan, Chong Chen, Yingmin Liu, Katarzyna Gil, Karolina Zareba, Rizwan Ahmad","doi":"10.1007/s10334-025-01257-z","DOIUrl":"https://doi.org/10.1007/s10334-025-01257-z","url":null,"abstract":"<p><strong>Objective: </strong>To propose and validate an unsupervised MRI reconstruction method that does not require fully sampled k-space data.</p><p><strong>Materials and methods: </strong>The proposed method, deep image prior with structured sparsity (DISCUS), extends the deep image prior (DIP) by introducing group sparsity to frame-specific code vectors, enabling the discovery of a low-dimensional manifold for capturing temporal variations. DISCUS was validated using four studies: (I) simulation of a dynamic Shepp-Logan phantom to demonstrate its manifold discovery capabilities, (II) comparison with compressed sensing and DIP-based methods using simulated single-shot late gadolinium enhancement (LGE) image series from six distinct digital cardiac phantoms in terms of normalized mean square error (NMSE) and structural similarity index measure (SSIM), (III) evaluation on retrospectively undersampled single-shot LGE data from eight patients, and (IV) evaluation on prospectively undersampled single-shot LGE data from eight patients, assessed via blind scoring from two expert readers.</p><p><strong>Results: </strong>DISCUS outperformed competing methods, demonstrating superior reconstruction quality in terms of NMSE and SSIM (Studies I-III) and expert reader scoring (Study IV).</p><p><strong>Discussion: </strong>An unsupervised image reconstruction method is presented and validated on simulated and measured data. These developments can benefit applications where acquiring fully sampled data is challenging.</p>","PeriodicalId":18067,"journal":{"name":"Magnetic Resonance Materials in Physics, Biology and Medicine","volume":" ","pages":""},"PeriodicalIF":2.0,"publicationDate":"2025-05-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144078975","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":"Multi-center and multi-vendor evaluation study across 1.5 T and 3 T scanners (part 1): apparent diffusion coefficient standardization in a diffusion MRI phantom.","authors":"Siria Pasini, Steffen Ringgaard, Tau Vendelboe, Leyre Garcia-Ruiz, Anika Strittmatter, Giulia Villa, Anish Raj, Rebeca Echeverria-Chasco, Michela Bozzetto, Paolo Brambilla, Malene Aastrup, Esben S S Hansen, Luisa Pierotti, Matteo Renzulli, Susan T Francis, Frank G Zoellner, Christoffer Laustsen, Maria A Fernandez-Seara, Anna Caroli","doi":"10.1007/s10334-025-01256-0","DOIUrl":"https://doi.org/10.1007/s10334-025-01256-0","url":null,"abstract":"<p><strong>Objective: </strong>To validate multi-site and multi-vendor ADC measurements using the QIBA/NIST diffusion MRI phantom at room temperature.</p><p><strong>Materials and methods: </strong>ADC measurements were performed on 12 scanners (evenly split between 1.5 and 3 T) from three vendors at five sites and compared with reference values at room temperature. We adopted Pearson's correlation (r) and accuracy error for comparison with reference values; within scanner coefficient of variation (CV_intra%) for intra-session repeatability and inter-scanner for agreement (CV_inter%); Bland-Altman plots and precision error for short-term reproducibility; generalized linear mixed models and post-hoc tests ( <math><mi>α</mi></math> =0.05) to compare accuracy, repeatability and precision across field strengths, vendors, and scanners.</p><p><strong>Results: </strong>Temperature adjusted ADCs were well correlated with NIST reference values (r <math><mo>≥</mo></math> 0.997 for 1.5 T, r <math><mo>≥</mo></math> 0.996 for 3 T). Median accuracy error was lower than 5% for all scanners. In the renal physiologic range (ADC > 0.83 <math><mo>×</mo></math> 10^-3 mm²/s), accuracy error was < 10% and CV_intra < 2%. Across all scanners, good short-term reproducibility with limits of agreement < 10% and excellent agreement (median CV_inter < 2%) were found.</p><p><strong>Discussion: </strong>Despite using abdominal receive coils and room temperature measurements, all quantitative parameters were within literature findings. High accuracy, repeatability and precision within the renal physiologic range support the feasibility of scanner evaluation using QIBA standardization process for diffusion measurements in renal studies.</p>","PeriodicalId":18067,"journal":{"name":"Magnetic Resonance Materials in Physics, Biology and Medicine","volume":" ","pages":""},"PeriodicalIF":2.0,"publicationDate":"2025-05-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144031162","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":"Beyond Gleason grading: MRI radiomics to differentiate cribriform growth from non-cribriform growth in prostate cancer men.","authors":"Mar Fernandez Salamanca, Rita Simões, Malgorzata Deręgowska-Cylke, Pim J van Leeuwen, Henk G van der Poel, Elise Bekers, Marcos A S Guimaraes, Uulke A van der Heide, Ivo G Schoots","doi":"10.1007/s10334-025-01251-5","DOIUrl":"https://doi.org/10.1007/s10334-025-01251-5","url":null,"abstract":"<p><strong>Objective: </strong>To differentiate cribriform (GP4Crib+) from non-cribriform growth and Gleason 3 patterns (GP4Crib-/GP3) using MRI.</p><p><strong>Methods: </strong>Two hundred and ninety-one operated prostate cancer men with pre-treatment MRI and whole-mount prostate histology were retrospectively included. T2-weighted, apparent diffusion coefficient (ADC) and fractional blood volume maps from 1.5/3T MRI systems were used. 592 histological GP3, GP4Crib- and GP4Crib+ regions were segmented on whole-mount specimens and manually co-registered to MRI sequences/maps. Radiomics features were extracted, and an erosion process was applied to minimize the impact of delineation uncertainties. A logistic regression model was developed to differentiate GP4Crib+ from GP3/GP4Crib- in the 465 remaining regions. The differences in balanced accuracy between the model and baseline (where all regions are labeled as GP3/GP4Crib-) and 95% confidence intervals (CI) for all metrics were assessed using bootstrapping.</p><p><strong>Results: </strong>The logistic regression model, using the 90th percentile ADC feature with a negative coefficient, showed a balanced accuracy of 0.65 (95% CI: 0.48-0.79), receiver operating characteristic area under the curve (AUC) of 0.75 (95% CI: 0.54-0.92), a precision-recall AUC of 0.35 (95% CI: 0.14-0.68).</p><p><strong>Conclusion: </strong>The radiomics MRI-based model, trained on Gleason sub-patterns segmented on whole-mount specimen, was able to differentiate GP4Crib+ from GP3/GP4Crib- patterns with moderate accuracy. The most dominant feature was the 90th percentile ADC. This exploratory study highlights 90th percentile ADC as a potential biomarker for cribriform growth differentiation, providing insights into future MRI-based risk assessment strategies.</p>","PeriodicalId":18067,"journal":{"name":"Magnetic Resonance Materials in Physics, Biology and Medicine","volume":" ","pages":""},"PeriodicalIF":2.0,"publicationDate":"2025-04-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144015507","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}