Journal of Magnetic Resonance Imaging最新文献

{"title":"Editorial for \"Feasibility of MRI-Guided Transperineal Implantation of Microdevices for Drug Delivery and Response Assessment in Prostate Cancer\".","authors":"Liang Wang, Qiubai Li","doi":"10.1002/jmri.29791","DOIUrl":"10.1002/jmri.29791","url":null,"abstract":"","PeriodicalId":16140,"journal":{"name":"Journal of Magnetic Resonance Imaging","volume":" ","pages":"719-720"},"PeriodicalIF":3.5,"publicationDate":"2025-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144004249","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Optimized Long-TE ¹H sLASER MR Spectroscopic Imaging at 3T for Separate Quantification of Glutamate and Glutamine in Glioma.","authors":"Seyma Alcicek, Michael W Ronellenfitsch, Joachim P Steinbach, Andrei Manzhurtsev, Dennis C Thomas, Katharina J Weber, Vincent Prinz, Marie-Thérèse Forster, Elke Hattingen, Ulrich Pilatus, Katharina J Wenger","doi":"10.1002/jmri.29787","DOIUrl":"10.1002/jmri.29787","url":null,"abstract":"<p><strong>Background: </strong>Glutamate and glutamine are critical metabolites in gliomas, each serving distinct roles in tumor biology. Separate quantification of these metabolites using in vivo MR spectroscopy (MRS) at clinical field strengths (≤ 3T) is hindered by their molecular similarity, resulting in overlapping, hence indistinguishable, spectral peaks.</p><p><strong>Purpose: </strong>To develop an MRS imaging (MRSI) protocol to map glutamate and glutamine separately at 3T within clinically feasible time, using J-modulation to enhance spectral differentiation, demonstrate its reliability/reproducibility, and quantify the metabolites in glioma subregions.</p><p><strong>Study type: </strong>Prospective.</p><p><strong>Population: </strong>Phantoms, 5 healthy subjects, and 30 patients with suspected glioma. IDH wild-type glioblastoma cases were evaluated to establish a uniform group.</p><p><strong>Field strength/sequence: </strong>3T, Research protocol: 2D ¹H sLASER MRSI (40 and 120 ms TE) with water reference, 3D T1-weighted and 2D T2-weighted. Trial-screening process: T1-weighted, T1-weighted contrast-enhanced, T2-weighted, FLAIR.</p><p><strong>Assessment: </strong>Spectral simulations and phantom measurements were performed to design and validate the protocol. Spectral quality/fitting parameters for scan-rescan measurements were obtained using LCModel. The proposed long-TE data were compared with short-TE data. BraTS Toolkit was employed for fully automated tumor segmentation.</p><p><strong>Statistical tests: </strong>Scan-rescan comparison was performed using Bland-Altman analysis. LCModel coefficient of modeling covariance (CMC) between glutamate and glutamine was mapped to evaluate their model interactions for each spectral fitting. Metabolite levels in tumor subregions were compared using one-way ANOVA and Kruskal-Wallis. A p value < 0.05 was considered statistically significant.</p><p><strong>Results: </strong>Spectral quality/fitting parameters and metabolite levels were highly consistent between scan-rescan measurements. A negative association between glutamate and glutamine models at short TE (CMC = -0.16 ± 0.06) was eliminated at long TE (0.01 ± 0.05). Low glutamate in tumor subregions (non-enhancing-tumor-core: 5.35 ± 4.45 mM, surrounding-non-enhancing-FLAIR-hyperintensity: 7.39 ± 2.62 mM, and enhancing-tumor: 7.60 ± 4.16 mM) was found compared to contralateral (10.84 ± 2.94 mM), whereas glutamine was higher in surrounding-non-enhancing-FLAIR-hyperintensity (9.17 ± 6.84 mM) and enhancing-tumor (7.20 ± 4.42 mM), but not in non-enhancing-tumor-core (4.92 ± 3.38 mM, p = 0.18) compared to contralateral (2.94 ± 1.35 mM).</p><p><strong>Data conclusion: </strong>The proposed MRSI protocol (~12 min) enables separate mapping of glutamate and glutamine reliably along with other MRS-detectable standard metabolites in glioma subregions at 3T.</p><p><strong>Evidence level: </strong>1 TECHNICAL EFFICACY: Stage 3.</p>","PeriodicalId":16140,"journal":{"name":"Journal of Magnetic Resonance Imaging","volume":" ","pages":"890-901"},"PeriodicalIF":3.5,"publicationDate":"2025-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12335340/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143803462","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Brain Tumor Characterization Using Multiple MR Parameters From Multi-Contrast EPI With Keyhole (GE-SE EPIK) Including Oxygen Extraction Fraction: A Comparison to O-(2-[18F]Fluoroethyl)-L-Tyrosine (FET) Positron Emission Tomography.","authors":"Fabian Küppers, Mohamed Kassem, Seong Dae Yun, Gabriele Stoffels, Christian Filß, Norbert Galldiks, Felix M Mottaghy, M Eline Kooi, Karl-Josef Langen, Philipp Lohmann, N Jon Shah","doi":"10.1002/jmri.29795","DOIUrl":"10.1002/jmri.29795","url":null,"abstract":"<p><strong>Background: </strong>Tumor characterization and treatment efficacy are associated with tissue hypoxia. MR-derived oxygen extraction fraction (OEF) may offer valuable tumor insights but depends on multiple measurement parameters, often requiring multiple sequence acquisitions. Specific multi-parametric sequences offer direct access to MR parameter sets within short acquisition times.</p><p><strong>Purpose: </strong>To evaluate the potential of gradient-echo spin-echo echo-planar imaging with keyhole (GE-SE EPIK)-derived parameters (OEF/T₂/T₂*/venous cerebral blood volume (vCBV)) to characterize increased metabolic activity tissue identified in [¹⁸F]fluoroethyl-L-tyrosine (FET) PET, serving as a surrogate for neoplastic tissue.</p><p><strong>Study type: </strong>Retrospective.</p><p><strong>Population: </strong>Fifty-seven brain tumor patients (female/male:31/26; age 27-73 years) with 66 histologically confirmed lesions (suspected glioblastoma (16), glioblastoma (28), astrocytoma (11), metastasis (6), oligodendroglioma (5)).</p><p><strong>Field strength/sequence: </strong>10-echo GE-SE EPIK sequence at 3 T.</p><p><strong>Assessment: </strong>GE-SE EPIK data were acquired in a hybrid MR PET scanner during FET PET acquisitions. Two tumor segmentations based on FET-PET uptake and FLAIR hyperintensities were manually created. Mean GE-SE EPIK-derived parameters were calculated within tumor regions and compared to contralateral reference values. Relative tumor-to-reference parameters were compared across tumor types.</p><p><strong>Statistical tests: </strong>One/two-sampled, two-tailed t-tests of mean relative MR-derived parameters. p-value < 0.05 was considered significant.</p><p><strong>Results: </strong>Significantly increased T₂/T₂* and decreased vCBV/OEF were found in FET-PET and FLAIR-derived VOIs. Latter showed decreased R2'. Significant correlation between FET uptake and T₂/T₂* was found in FET-VOIs (Pearson correlation: 0.26/0.31, respectively). Oligodendrogliomas showed significant differences to glioblastomas (rR₂', rOEF) and astrocytomas (rR₂'). Metastasis showed different rT₂ values than suspected gliomas. Astrocytoma differed from gliomas in FET-TBR. Susceptibility artifacts in T₂* maps from air-tissue interfaces limited qualitative data interpretation.</p><p><strong>Data conclusion: </strong>GE-SE EPIK provides multiple MR parameters that are sensitive to expected changes in tumor regions obtained from FET and FLAIR thresholds. Susceptibility artifacts in T₂*/OEF maps made the differentiation between tumor relapse and treatment-related changes challenging. However, certain MR-derived parameters showed the ability to distinguish tumor types.</p><p><strong>Evidence level: </strong>3.</p><p><strong>Technical efficacy: </strong>Stage 2.</p>","PeriodicalId":16140,"journal":{"name":"Journal of Magnetic Resonance Imaging","volume":" ","pages":"721-736"},"PeriodicalIF":3.5,"publicationDate":"2025-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12335343/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143970126","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Association of In Vivo Kidney Stiffness Measured by Multifrequency MR Elastography and Long-Term Renal Function in Transplant Recipients and Living Donors.","authors":"Stephan Rodrigo Marticorena Garcia, Jonas Oppenheimer, Tom Meyer, Frank Friedersdorff, Ingolf Sack","doi":"10.1002/jmri.29799","DOIUrl":"10.1002/jmri.29799","url":null,"abstract":"<p><strong>Background: </strong>Kidney transplant (KTx) function assessment is important in treatment planning, while conventional MRI markers lack sensitivity for KTx function. Mechanical kidney properties may serve as MRI markers for renal allograft function.</p><p><strong>Hypothesis: </strong>To determine if multifrequency MR elastography (MRE) is associated with KTx function.</p><p><strong>Study type: </strong>Prospective, longitudinal.</p><p><strong>Subjects: </strong>Twelve kidney donors (51 ± 9 years, 8 females) and 12 allograft recipients (48 ± 17 years, 2 females).</p><p><strong>Fieldstrength/sequence: </strong>1.5 T, MRE, and diffusion-weighted MRI based on spin-echo echo-planar imaging and T2-weighted MRI volumetry.</p><p><strong>Assessment: </strong>Kidney donors were imaged pre- and post-KTx, while allograft recipients were imaged post-KTx. Renal function was assessed using creatinine levels (at 1 week, 1 month, and 3 years post-KTx in recipients) and glomerular filtration rate (GFR; donors pre-KTx) based on Tc-99m-MAG3 scintigraphy. Kidney volumes were measured by MRI segmentations, and ADC, shear-wave speed (SWS), and loss-angle maps were reconstructed. The correlations between MR parameters, GFR, and creatinine level (minimum value over study period) were investigated.</p><p><strong>Statistical tests: </strong>Wilcoxon tests and Pearson correlation coefficients (R). A p < 0.05 was considered statistically significant.</p><p><strong>Results: </strong>No significant lateral differences in renal volume (153 ± 34 cm³, p = 0.34) or SWS (2.5 ± 0.4 m/s, p = 0.20) were found pre-KTx. Volume and SWS increased significantly post-KTx in reference kidneys (volume: +13%, SWS: +11%) and in transplants in recipients (volume: +20%, SWS: +32%). SWS, but not volume (p = 0.75), correlated positively with GFR in donors pre-KTx (R = 0.67) while both SWS (R = ‑0.62) and volume (R = -0.77) negatively correlated with creatinine levels post-KTx. ADC was sensitive to KTx-associated changes in renal function in donors (3% ± 5%) but not recipients (p = 0.88).</p><p><strong>Data conclusion: </strong>MRE provides valuable information on renal function and could serve as a baseline for longitudinal monitoring of kidney transplants. Parenchymal stiffening post-KTx had significantly larger effect sizes in denervated allografts than in reference donor kidneys with intact autoregulation of renal blood flow.</p><p><strong>Evidence level: </strong>2.</p><p><strong>Technical efficacy: </strong>Stage 2.</p>","PeriodicalId":16140,"journal":{"name":"Journal of Magnetic Resonance Imaging","volume":" ","pages":"792-799"},"PeriodicalIF":3.5,"publicationDate":"2025-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12335341/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144021241","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Editorial for \"Feasibility of Qualitative Evaluation and Quantitative T2 Mapping of Peripheral Nerves and Muscles Using GRAPPATINI\".","authors":"Hamidreza Shaterian Mohammadi, Sameer B Shah, Saeed Jerban","doi":"10.1002/jmri.29805","DOIUrl":"10.1002/jmri.29805","url":null,"abstract":"","PeriodicalId":16140,"journal":{"name":"Journal of Magnetic Resonance Imaging","volume":" ","pages":"790-791"},"PeriodicalIF":3.5,"publicationDate":"2025-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144011187","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Accelerated Abdominal MRI: A Review of Current Methods and Applications.","authors":"Li Feng, Hersh Chandarana","doi":"10.1002/jmri.29750","DOIUrl":"10.1002/jmri.29750","url":null,"abstract":"<p><p>MRI is widely used for the diagnosis and management of various abdominal diseases involving organs such as the liver, pancreas, and kidneys. However, one major limitation of MRI is its relatively slow imaging speed compared to other modalities. In addition, respiratory motion poses a significant challenge in abdominal MRI, often requiring patients to hold their breath multiple times during an exam. This requirement can be particularly challenging for sick, elderly, and pediatric patients, who may have reduced breath-holding capacity. As a result, rapid imaging plays an important role in routine clinical abdominal MRI exams. Accelerated data acquisition not only reduces overall exam time but also shortens breath-hold durations, thereby improving patient comfort and compliance. Over the past decade, significant advancements in rapid MRI have led to the development of various accelerated imaging techniques for routine clinical use. These methods improve abdominal MRI by enhancing imaging speed, motion compensation, and overall image quality. Integrating these techniques into clinical practice also enables new applications that were previously challenging. This paper provides a concise yet comprehensive overview of rapid imaging techniques applicable to abdominal MRI and discusses their advantages, limitations, and potential clinical applications. By the end of this review, readers are expected to learn the latest advances in accelerated abdominal MRI and explore new frontiers in this evolving field. Evidence Level: N/A Technical Efficacy: Stage 5.</p>","PeriodicalId":16140,"journal":{"name":"Journal of Magnetic Resonance Imaging","volume":" ","pages":"654-672"},"PeriodicalIF":3.5,"publicationDate":"2025-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12335926/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143657419","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Altered Brain Functional Networks in Patients With Breast Cancer After Different Cycles of Neoadjuvant Chemotherapy.","authors":"Jing Yang, Yongchun Deng, Daihong Liu, Yixin Hu, Yu Tang, Xiaoyu Zhou, Yong Tan, Jing Zhang, Jiang Liu, Chengfang Wang, Xiaohua Zeng, Jiuquan Zhang","doi":"10.1002/jmri.29772","DOIUrl":"10.1002/jmri.29772","url":null,"abstract":"<p><strong>Background: </strong>Cancer-related cognitive impairment (CRCI) impacts breast cancer (BC) patients' quality of life after chemotherapy. While recent studies have explored its neural correlates, single time-point designs cannot capture how these changes evolve over time.</p><p><strong>Purpose: </strong>To investigate changes in the brain connectome of BC patients at several time points during neoadjuvant chemotherapy (NAC).</p><p><strong>Study type: </strong>Longitudinal.</p><p><strong>Subjects: </strong>55 participants with BC underwent clinical assessments and fMRI at baseline (TP1), the first cycle of NAC (TP2, 30 days later), and the end (TP3, 140 days later). Two matched female healthy control (HCs, n = 20 and n = 18) groups received the same assessments. FIELD STRENGTH/SEQUENCE: rs-fMRI (gradient-echo EPI) and 3D T1-weighted magnetization-prepared rapid gradient echo sequence at 3.0 T.</p><p><strong>Assessment: </strong>Brain functional networks were analyzed using graph theory approaches. We analyzed changes in brain connectome metrics and explored the relationship between these changes and clinical scales (including emotion and cognitive test). Patients were divided into subgroups according to clinical classification, chemotherapy regimen, and menopausal status. Longitudinal analysis was performed at three time points for each subgroup.</p><p><strong>Statistical tests: </strong>An independent sample t-test for patient-HC comparison at TP1. Analysis of variance and paired t-test for longitudinal changes. Regression analysis for relations between network measurements changes and clinical symptom scores changes. Significance was defined as p < 0.05.</p><p><strong>Results: </strong>Post-NAC, BC patients showed increased global efficiency (TP2-TP1 = 0.087, TP3-TP1 = 0.078), decreased characteristic path length (TP2-TP1 = -0.413, TP3-TP1 = -0.312), and altered nodal centralities mainly in the frontal-limbic system and cerebellar cortex. These abnormalities expanded with chemotherapy progression significantly (TP2 vs. TP3). Topological parameters changes were also correlated with clinical scales changes significantly. No differences were found within or between HC groups (p = 0.490-0.989) or BC subgroups (p = 0.053-0.988) at TP1.</p><p><strong>Data conclusions: </strong>NAC affects the brain functional connectome of BC patients at TP2, and these changes persist and further intensify at TP3.</p><p><strong>Level of evidence: 2: </strong></p><p><strong>Technical efficacy: </strong>Stage 5.</p>","PeriodicalId":16140,"journal":{"name":"Journal of Magnetic Resonance Imaging","volume":" ","pages":"902-914"},"PeriodicalIF":3.5,"publicationDate":"2025-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143811486","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Editorial for \"Federated Learning for Renal Tumor Segmentation and Classification on Multi-Center MRI Dataset\".","authors":"Wentao Yang, Tianyi Xia","doi":"10.1002/jmri.29830","DOIUrl":"10.1002/jmri.29830","url":null,"abstract":"","PeriodicalId":16140,"journal":{"name":"Journal of Magnetic Resonance Imaging","volume":" ","pages":"825-826"},"PeriodicalIF":3.5,"publicationDate":"2025-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144159664","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Visualization and Assessment of the Venous Plexus of Rektorzik on Ultrahigh Resolution Vessel Wall MRI.","authors":"Siddhant Dogra, Eytan Raz, Seena Dehkharghani","doi":"10.1002/jmri.70016","DOIUrl":"10.1002/jmri.70016","url":null,"abstract":"","PeriodicalId":16140,"journal":{"name":"Journal of Magnetic Resonance Imaging","volume":" ","pages":"930-933"},"PeriodicalIF":3.5,"publicationDate":"2025-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144475648","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Detection of Microscopic Glioblastoma Infiltration in Peritumoral Edema Using Interactive Deep Learning With DTI Biomarkers: Testing via Stereotactic Biopsy.","authors":"Jiaqi Tu, Chuyun Shen, Jianpeng Liu, Bin Hu, Zecheng Chen, Yijiu Yan, Chao Li, Ji Xiong, Alex Michel Daoud, Xiangfeng Wang, Yuxin Li, Fengping Zhu","doi":"10.1002/jmri.70058","DOIUrl":"https://doi.org/10.1002/jmri.70058","url":null,"abstract":"<p><strong>Background: </strong>Microscopic tumor cell infiltration beyond contrast-enhancing regions influences glioblastoma prognosis but remains undetectable using conventional MRI.</p><p><strong>Purpose: </strong>To develop and evaluate the glioblastoma infiltrating area interactive detection framework (GIAIDF), an interactive deep-learning framework that integrates diffusion tensor imaging (DTI) biomarkers for identifying microscopic infiltration within peritumoral edema.</p><p><strong>Study type: </strong>Retrospective.</p><p><strong>Population: </strong>A total of 73 training patients (51.13 ± 13.87 years; 47 M/26F) and 25 internal validation patients (52.82 ± 10.76 years; 14 M/11F) from Center 1; 25 external validation patients (47.29 ± 11.39 years; 16 M/9F) from Center 2; 13 prospective biopsy patients (45.62 ± 9.28 years; 8 M/5F) from Center 1.</p><p><strong>Field strength/sequences: </strong>3.0 T MRI including three-dimensional contrast-enhanced T1-weighted BRAVO sequence (repetition time = 7.8 ms, echo time = 3.0 ms, inversion time = 450 ms, slice thickness = 1 mm), three-dimensional T2-weighted fluid-attenuated inversion recovery (repetition time = 7000 ms, echo time = 120 ms, inversion time = 2000 ms, slice thickness = 1 mm), and diffusion tensor imaging (repetition time = 8500 ms, echo time = 63 ms, slice thickness = 2 mm).</p><p><strong>Assessment: </strong>Histopathology of 25 stereotactic biopsy specimens served as the reference standard. Primary metrics included AUC, accuracy, sensitivity, and specificity. GIAIDF heatmaps were co-registered to biopsy trajectories using Ratio-FAcpcic (0.16-0.22) as interactive priors.</p><p><strong>Statistical tests: </strong>ROC analysis (DeLong's method) for AUC; recall, precision, and F1 score for prediction validation.</p><p><strong>Results: </strong>GIAIDF demonstrated recall = 0.800 ± 0.060, precision = 0.915 ± 0.057, F1 = 0.852 ± 0.044 in internal validation (n = 25) and recall = 0.778 ± 0.053, precision = 0.890 ± 0.051, F1 = 0.829 ± 0.040 in external validation (n = 25). Among 13 patients undergoing stereotactic biopsy, 25 peri-ED specimens were analyzed: 18 without tumor cell infiltration and seven with infiltration, achieving AUC = 0.929 (95% CI: 0.804-1.000), sensitivity = 0.714, specificity = 0.944, and accuracy = 0.880. Infiltrated sites showed significantly higher risk scores (0.549 ± 0.194 vs. 0.205 ± 0.175 in non-infiltrated sites, p < 0.001).</p><p><strong>Data conclusion: </strong>This study has provided a potential tool, GIAIDF, to identify regions of GBM infiltration within areas of peri-ED based on preoperative MR images.</p>","PeriodicalId":16140,"journal":{"name":"Journal of Magnetic Resonance Imaging","volume":" ","pages":""},"PeriodicalIF":3.5,"publicationDate":"2025-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144957276","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}