Radiology advances最新文献

{"title":"Art of imaging: Breath in nature.","authors":"Betul Uzunoglu","doi":"10.1093/radadv/umag015","DOIUrl":"https://doi.org/10.1093/radadv/umag015","url":null,"abstract":"","PeriodicalId":519940,"journal":{"name":"Radiology advances","volume":"3 5","pages":"umag015"},"PeriodicalIF":1.8,"publicationDate":"2026-09-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC13588570/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"149009744","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Improved visualization of malpositioned middle ear prostheses using photon-counting detector CT: a cadaver study.","authors":"Maryam Sadeghian, John C Benson, Paul J Farnsworth, John I Lane, Kevin J Treb, Karl R Khandalavala, Eric E Babajanian, Michael R Bruesewitz, Joseph R Swicklik, Fang-Shu Ou, Cynthia H McCollough, Matthew L Carlson, Shuai Leng","doi":"10.1093/radadv/umag041","DOIUrl":"https://doi.org/10.1093/radadv/umag041","url":null,"abstract":"<p><strong>Background: </strong>Evaluation of middle ear prostheses requires high-resolution imaging to assess position and structural integrity.</p><p><strong>Purpose: </strong>To assess the diagnostic performance of photon-counting-detector (PCD)-CT for middle ear prosthesis imaging in cadaveric specimens.</p><p><strong>Materials and methods: </strong>Nine different middle ear prostheses were implanted in 5 fresh-frozen whole-head specimens, both in correct anatomic position and displaced to mimic malposition. Specimens were scanned on PCD-CT (NAEOTOM Alpha, Siemens) and energy-integrating-detector (EID)-CT (SOMATOM Force, Siemens), reconstructed at 0.2 mm and 0.4 mm, respectively. Eighteen cases (9 prostheses, 2 positions) per scanner were evaluated by 2 neuroradiologists (36 readings), blinded to scanner and position, who scored prosthesis position, reader confidence, and overall image quality. Agreement with the reference standard and between readers was compared.</p><p><strong>Results: </strong>PCD-CT showed higher diagnostic confidence compared with EID-CT, while accuracy and inter-reader agreement did not demonstrate significant differences between scanners. Correct readings, PCD-CT versus EID-CT: lateral contact, 31/36 (86.1%; 95% CI, 58.3-94.4) vs 29/36 (80.6%; 95% CI, 55.6-91.7), <i>P = .</i>500; medial contact, 30/36 (83.3%; 95% CI, 55.6-94.4) vs 26/36 (72.2%; 95% CI, 50.0-83.3), <i>P = .</i>250. PCD-CT identified all cases of complete contact loss (score 3), while EID-CT missed 1 reading per contact. Inter-reader agreement may be higher with PCD-CT vs EID-CT (lateral: κ_w: 0.804 [95% CI, 0.578-0.941] vs 0.571 [95% CI, 0.302-0.778], <i>P = .</i>250; medial: 0.684 [95% CI, 0.191-0.934] vs 0.481 [95% CI, 0.024-0.835], <i>P = .</i>250). Reader confidence was significantly higher with PCD-CT; mean paired differences for Readers 1 and 2 were 9.4 (95% CI, 1.8-17.1; Holm-adjusted <i>P = .</i>019) and 23.1 points (95% CI, 13.4-32.7; <i>P < .</i>001) for lateral contact, and 16.4 (95% CI, 10.0-22.8; <i>P < .</i>001) and 17.8 points (95% CI, 6.8-28.8; <i>P = .</i>007) for medial contact. Readers preferred PCD-CT image quality in 16/18 (88.9%; 95% CI, 65.3-98.6) and 17/18 cases (94.4%; 95% CI, 72.7-99.9), respectively.</p><p><strong>Conclusion: </strong>PCD-CT was associated with significantly higher reader confidence and preferred image quality, without significant differences in diagnostic accuracy or inter-reader agreement. These findings suggest that PCD-CT is a promising modality for postoperative middle ear evaluations and warrants further investigations.</p>","PeriodicalId":519940,"journal":{"name":"Radiology advances","volume":"3 5","pages":"umag041"},"PeriodicalIF":1.8,"publicationDate":"2026-09-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC13633848/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"149121990","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Correction to: A 20-minute, free-running, whole-heart cardiac MRI to image myocardial injury following reperfused myocardial infarction: demonstration in a large animal model.","authors":"","doi":"10.1093/radadv/umag037","DOIUrl":"https://doi.org/10.1093/radadv/umag037","url":null,"abstract":"<p><p>[This corrects the article DOI: 10.1093/radadv/umag009.].</p>","PeriodicalId":519940,"journal":{"name":"Radiology advances","volume":"3 5","pages":"umag037"},"PeriodicalIF":1.8,"publicationDate":"2026-09-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC13553072/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148914982","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"The diagnostic symphony.","authors":"Yashbir Singh, Gregory J Gores","doi":"10.1093/radadv/umag016","DOIUrl":"https://doi.org/10.1093/radadv/umag016","url":null,"abstract":"","PeriodicalId":519940,"journal":{"name":"Radiology advances","volume":"3 5","pages":"umag016"},"PeriodicalIF":1.8,"publicationDate":"2026-09-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC13537815/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148882333","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Virtual MR elastography with diffusion-weighted imaging to evaluate chronic kidney disease fibrosis and dysfunction.","authors":"Ruirui Qi, Junfeng Li, Wenxi Liu, Peiyin Luo, Qiuyi Chen, Qiumei Liang, Fanqi Meng, Jinhua Qin, Feifei Qu, Haodong Qin, Yanglei Wu, Hanqing Lyu, Bingsheng Huang, Youjia Zeng, Yueyao Chen","doi":"10.1093/radadv/umag034","DOIUrl":"https://doi.org/10.1093/radadv/umag034","url":null,"abstract":"&lt;p&gt;&lt;strong&gt;Background: &lt;/strong&gt;Renal stiffness declines with chronic kidney disease (CKD) progression. Magnetic resonance elastography (MRE) enables quantitative assessment of tissue stiffness but requires external hardware, limiting routine clinical use.&lt;/p&gt;&lt;p&gt;&lt;strong&gt;Purpose: &lt;/strong&gt;To develop a diffusion-derived virtual shear modulus (µ&lt;sub&gt;diff&lt;/sub&gt;) for vibration-free renal virtual MR elastography (vMRE) and evaluate its ability to assess dysfunction and fibrosis across CKD stages.&lt;/p&gt;&lt;p&gt;&lt;strong&gt;Materials and methods: &lt;/strong&gt;This prospective single-center study included 53 healthy volunteers and 114 CKD patients, stratified by estimated glomerular filtration rate (eGFR) into early-stage CKD (CKD&lt;sub&gt;1-2&lt;/sub&gt;, eGFR 60-120 mL/min/1.73 m&lt;sup&gt;2&lt;/sup&gt;) and moderate-to-advanced CKD (CKD&lt;sub&gt;3-5&lt;/sub&gt;, eGFR &lt; 60 mL/min/1.73 m&lt;sup&gt;2&lt;/sup&gt;). Renal biopsy results performed for clinical care were collected. Magnetic resonance elastography and multi-b-value diffusion-weighted imaging (DWI) (&lt;i&gt;b&lt;/i&gt; = 0-2000 s/mm&lt;sup&gt;2&lt;/sup&gt;) were performed on a 3T MRI (MAGNETOM Prisma, Siemens). Cortical shifted apparent diffusion coefficient (csADC) across b-value combinations correlated with cortical MR elastographic shear modulus (cµ&lt;sub&gt;MRE&lt;/sub&gt;) to identify the optimal combination and derive µ&lt;sub&gt;diff&lt;/sub&gt;. Age-adjusted analysis of covariance (ANCOVA) compared MRI parameters. Partial correlations with eGFR and Spearman correlations with interstitial fibrosis (IF) were performed. Diagnostic performance was evaluated by receiver operating characteristic (ROC) analysis.&lt;/p&gt;&lt;p&gt;&lt;strong&gt;Results: &lt;/strong&gt;A significant correlation (&lt;i&gt;R&lt;/i&gt; &lt;sup&gt;2&lt;/sup&gt; = 0.94, &lt;i&gt;P &lt;/i&gt;&lt; .001) was observed between cµ&lt;sub&gt;MRE&lt;/sub&gt; and csADC derived from DWI at b-values of 200 (S&lt;sub&gt;200&lt;/sub&gt;) and 800 (S&lt;sub&gt;800&lt;/sub&gt;) s/mm&lt;sup&gt;2&lt;/sup&gt; (csADC&lt;sub&gt;200-800&lt;/sub&gt;), yielding &lt;math&gt; &lt;mrow&gt; &lt;msub&gt;&lt;mrow&gt;&lt;mi&gt;μ&lt;/mi&gt;&lt;/mrow&gt; &lt;mrow&gt;&lt;mi&gt;diff&lt;/mi&gt;&lt;/mrow&gt; &lt;/msub&gt; &lt;/mrow&gt; &lt;mi&gt; &lt;/mi&gt; &lt;mo&gt;(&lt;/mo&gt; &lt;mrow&gt;&lt;mi&gt;kPa&lt;/mi&gt;&lt;/mrow&gt; &lt;mo&gt;)&lt;/mo&gt; &lt;mo&gt;=&lt;/mo&gt; &lt;mn&gt;4.91&lt;/mn&gt; &lt;mi&gt; &lt;/mi&gt; &lt;mi&gt;ln&lt;/mi&gt; &lt;mo&gt;(&lt;/mo&gt; &lt;mrow&gt; &lt;msub&gt;&lt;mrow&gt;&lt;mi&gt;S&lt;/mi&gt;&lt;/mrow&gt; &lt;mrow&gt;&lt;mn&gt;200&lt;/mn&gt;&lt;/mrow&gt; &lt;/msub&gt; &lt;/mrow&gt; &lt;mo&gt;/&lt;/mo&gt; &lt;mrow&gt; &lt;msub&gt;&lt;mrow&gt;&lt;mi&gt;S&lt;/mi&gt;&lt;/mrow&gt; &lt;mrow&gt;&lt;mn&gt;800&lt;/mn&gt;&lt;/mrow&gt; &lt;/msub&gt; &lt;/mrow&gt; &lt;mo&gt;)&lt;/mo&gt; &lt;mo&gt;+&lt;/mo&gt; &lt;mn&gt;0.92&lt;/mn&gt; &lt;mo&gt;.&lt;/mo&gt;&lt;/math&gt; Cortical µ&lt;sub&gt;diff&lt;/sub&gt; (cμ&lt;sub&gt;diff&lt;/sub&gt;) correlated with eGFR (&lt;i&gt;r &lt;/i&gt;= 0.602, &lt;i&gt;P &lt;/i&gt;&lt; .001) and IF (&lt;i&gt;r &lt;/i&gt;= -0.809, &lt;i&gt;P &lt;/i&gt;&lt; .001). In biopsied patients (&lt;i&gt;n&lt;/i&gt; = 51), cμ&lt;sub&gt;diff&lt;/sub&gt; showed comparable diagnostic performance to cµ&lt;sub&gt;MRE&lt;/sub&gt; in differentiating mild from moderate-to-severe IF (area under the curve [AUC], 0.910 [95% CI, 0.822-0.998] vs 0.901 [95% CI, 0.813-0.989]; &lt;i&gt;P &lt;/i&gt;&gt; .05).&lt;/p&gt;&lt;p&gt;&lt;strong&gt;Conclusion: &lt;/strong&gt;Diffusion-weighted imaging-derived µ&lt;sub&gt;diff&lt;/sub&gt; enables vibration-free renal vMRE, offering a stiffness-related surrogate that correlates with renal dysfunction and fibrosis. Diagnostic performance is comparable to MRE, including in early","PeriodicalId":519940,"journal":{"name":"Radiology advances","volume":"3 5","pages":"umag034"},"PeriodicalIF":1.8,"publicationDate":"2026-08-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC13629548/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"149121942","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Simultaneous 3D structural-functional assessment of pediatric lung using 0.55-T MRI: a feasibility study.","authors":"Xin Miao, Nam G Lee, HaiThuy N Nguyen, Jesus Uribe, Eamon K Doyle, Stanford Chun, Ziwei Zhao, Sophia X Cui, Kamal Singhrao, Gerardo Perez Rojas, Narayan P Iyer, Roberta M Kato, Krishna S Nayak","doi":"10.1093/radadv/umag035","DOIUrl":"10.1093/radadv/umag035","url":null,"abstract":"<p><strong>Background: </strong>Pediatric pulmonary diseases are commonly evaluated with imaging that either involves ionizing radiation or that lacks regional functional information.</p><p><strong>Purpose: </strong>To evaluate the feasibility of simultaneous structural and functional lung assessment in pediatric participants without radiation, contrast administration, or breath-holding.</p><p><strong>Materials and methods: </strong>This retrospective study analyzed pediatric patients with pulmonary disease and healthy participants, who were recruited from August 2023 to December 2025 via convenience sampling and underwent awake lung MRI on wide-bore 0.55-T scanners. A prototype balanced steady-state free-precession sequence with a half-radial dual-echo readout (bSTAR) was acquired with free breathing. Respiratory-resolved 3-dimensional images were reconstructed for structural evaluation and quantitative ventilation mapping. Two pediatric radiologists independently scored image quality (robustness to motion and streak artifacts, and parenchymal signal) and the anatomic visibility of the airways and vessels using 4-point Likert scales. Interreader agreement of structural findings was evaluated using Cohen's <i>κ</i>. Ventilation defect percentage measured by bSTAR was compared with 2-dimensional phase-resolved functional lung (PREFUL) MRI using Pearson correlation and Bland-Altman analysis.</p><p><strong>Results: </strong>Fourteen participants (median [range] age, 11 [6-16] years; 8 females) were scanned. Image quality scores ranged from 3.0 to 3.8 on Likert scales. All cases were diagnostically acceptable (artifact robustness scores ≥2), with consistent visualization of segmental airway walls and subsegmental vasculature. Structural findings, including consolidation, mucus plugging, ground-glass opacity, air trapping, bronchiectasis, and mosaic hypointensity, showed substantial interreader agreement (<i>κ</i> = 0.6-0.8). Ventilation defects measured by bSTAR correlated strongly with PREFUL (<i>r </i>= 0.81, <i>P </i>< .001), with 95% limits of agreement of -18% to 23%.</p><p><strong>Conclusion: </strong>Simultaneous structural-functional lung imaging in a single free-breathing acquisition was feasible in this cohort of older awake pediatric participants using 0.55-T MRI, with structural images suitable for evaluating major pulmonary findings and quantitative ventilation metrics correlating strongly with PREFUL.</p>","PeriodicalId":519940,"journal":{"name":"Radiology advances","volume":"3 5","pages":"umag035"},"PeriodicalIF":1.8,"publicationDate":"2026-08-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC13597126/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"149027336","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Patients prefer ChatGPT to institutional websites for questions on radiation-based imaging exams: international mixed-methods study.","authors":"Sofyan Jankowski, Charbel Mourad, Marie Nowak, Jonas Richiardi, Wendy Brito Rodriguez, Florian Poncet, Marianna Gulizia, Stephanie de Labouchere, Emily Harkness, David Rotzinger, Francesco Ria, Chiara Pozzessere","doi":"10.1093/radadv/umag033","DOIUrl":"10.1093/radadv/umag033","url":null,"abstract":"<p><strong>Background: </strong>Radiology-risk communication affects multiple clinical specialties that use ionizing radiation, and many patients seek related information online. Prior expert evaluations found comparable performance between ChatGPT-generated and radiology-risk answers from official institutions, but patient perspectives have not been assessed.</p><p><strong>Purpose: </strong>To assess patients' perceptions of ChatGPT versus human-generated radiology-risk information.</p><p><strong>Methods and materials: </strong>From December 2024 to March 2025, patients at 3 hospitals in the United States, Switzerland, and Lebanon were randomly assigned to 1 of 5 common radiology-risk questions. Participants, blinded to source, provided subjective ratings of both ChatGPT‑3.5 and human-generated institutional responses on 7-point Likert scales for satisfaction (primary outcome), comprehensibility, trust, and reassurance. Quantitative comparisons were performed with Inverse Normalizing Transformation, and free-text comments were analyzed using thematic coding.</p><p><strong>Results: </strong>A total of 328 patients participated (34% aged 18-39 years, 33% aged 40-59 years, 31% aged 60-79 years, 3% aged ≥80 years; 188 female). ChatGPT responses were rated significantly higher than human responses for satisfaction (0.70-point advantage; <i>P</i> < .001), comprehensibility (0.27 points; <i>P</i> < .01), trust (0.65 points; <i>P</i> < .001), and reassurance (0.51 points; <i>P</i> < .001). Findings converged with qualitative written comments (r = 0.91, <i>P</i> < .05), in which ChatGPT attracted 2.3× more positive comments while human-generated responses received 1.7× more negative comments.</p><p><strong>Conclusions: </strong>Unlike experts, patients preferred ChatGPT-generated responses to institutional materials for radiology risk questions. This divergence highlights the need for patient-centered communication and suggests that large language model-based styles, implemented with expert oversight, may improve the perceived clarity and trustworthiness of educational materials in medical specialties that use ionizing radiation.</p>","PeriodicalId":519940,"journal":{"name":"Radiology advances","volume":"3 4","pages":"umag033"},"PeriodicalIF":1.8,"publicationDate":"2026-07-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC13495101/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148804438","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Reproducibility of 3.0 T single-frequency cardiac MR elastography for quantification of left ventricular myocardial stiffness.","authors":"Jun Wang, Yong Cheng, Yewen Jiang, Zijun Zheng, Zhanglei Li, Zhen Wang, Shutian An, Jun Chen, Kevin J Glaser, Arvin Arani, Yongqiang Yu, Ren Zhao, Xiaohu Li, Md PhD","doi":"10.1093/radadv/umag032","DOIUrl":"10.1093/radadv/umag032","url":null,"abstract":"<p><strong>Background: </strong>Cardiac magnetic resonance elastography (MRE) allows the non-invasive quantification of myocardial stiffness, but long-interval reproducibility data at 3.0 T single-frequency 140-Hz remain limited.</p><p><strong>Purpose: </strong>To evaluate the short- and long-interval reproducibility of 3.0 T cardiac MRE for left ventricular (LV) myocardial stiffness across healthy volunteers and patients with conditions associated with elevated myocardial stiffness.</p><p><strong>Materials and methods: </strong>This prospective single-center study included 69 participants: 60 healthy volunteers and 9 with cardiovascular disease (6 with aortic stenosis and 3 with long-standing hypertension). All participants underwent baseline cardiac MRE (scanner: Signa Premier 3.0 T, GE Healthcare, driver: Resoundant), an immediate short-interval rescan (SIR) within 5 minutes, and a long-interval rescan (LIR) after approximately 1 month. Left ventricular myocardial stiffness and octahedral shear strain signal-to-noise ratio were measured independently by 2 readers. Reproducibility was assessed using Bland-Altman analysis, intraclass correlation coefficients (ICCs), within-subject coefficient of variation, standard error of measurement, and smallest detectable change at the 95% confidence (SDC95) level.</p><p><strong>Results: </strong>Baseline LV myocardial stiffness was higher in the disease group than in healthy volunteers, 11.73 ± 1.01 kPa and 7.80 ± 0.70 kPa (mean ± SD; <i>P</i> < .001), respectively. Inter-reader agreement was excellent across all timepoints, with ICCs of 0.970 at baseline (95% CI, 0.953-0.982), 0.966 for SIR (95% CI, 0.945-0.979), and 0.962 for LIR (95% CI, 0.939-0.976). Within-reader scan-rescan reproducibility was also excellent. For Reader 1, stiffness ICC was 0.979 for the SIR (95% CI, 0.966-0.987) and 0.957 for the LIR (95% CI, 0.932-0.973), with SDC95 values of 0.616 kPa (95% CI, 0.528-0.741) and 0.869 kPa (95% CI, 0.744-1.044), respectively. Reader 2 showed excellent reproducibility, with ICCs ≤0.943.</p><p><strong>Conclusions: </strong>3D single-frequency 140-Hz cardiac MRE at 3.0 T provides excellent short- and long-interval reproducibility for LV myocardial stiffness quantification. The SDC95 values may help distinguish true longitudinal stiffness changes from measurement variability.</p>","PeriodicalId":519940,"journal":{"name":"Radiology advances","volume":"3 4","pages":"umag032"},"PeriodicalIF":1.8,"publicationDate":"2026-07-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC13447016/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148687399","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Let distortion-guided restoration: a physics-informed learning framework to correct prostate diffusion MRI artifacts.","authors":"Ziyang Long, Nader Binesh, Lixia Wang, Archana Vadiraj Malaji, Chia-Chi Yang, Haoran Sun, Rola Saouaf, Timothy Daskivich, Hyung Kim, Yibin Xie, Debiao Li, Hsin-Jung Yang","doi":"10.1093/radadv/umag031","DOIUrl":"10.1093/radadv/umag031","url":null,"abstract":"<p><strong>Background: </strong>Susceptibility-induced distortion in single-shot echo-planar imaging (ssEPI) prostate diffusion-weighted imaging (DWI) can degrade lesion conspicuity, apparent diffusion coefficient (ADC) estimation, and confidence in prostate MRI interpretation. Conventional correction strategies typically require additional acquisitions and may be limited in severe artifact settings.</p><p><strong>Purpose: </strong>To develop a physics-informed deep learning framework, distortion-guided restoration (DGR), for acquisition-free correction of ssEPI distortions in prostate DWI.</p><p><strong>Materials and methods: </strong>Distortion-guided restoration was proposed to learn the inverse of a physically simulated ssEPI distortion process. Clinical prostate DWI and T₂-weighted (T₂W) images from 408 3T MR examinations originating from 2 clinical datasets, acquired on Siemens 3T MAGNETOM Vida and Biograph mMR scanners, were used for paired distorted/undistorted training data across low-b DWI (<i>b</i> = 50 s/mm²), and scanner-provided ADC maps. The restoration network integrates a convolutional neural network (CNN)-based geometric correction module with a conditional diffusion refinement module, both guided by co-registered T₂W images. Model selection and benchmarking were performed on a held-out synthetic test set (<i>n</i> = 34), against conventional algorithms using correction field mapping (FSL FUGUE and TOPUP). Model performance was evaluated in a retrospective study on 34 clinical scans with severe susceptibility artifacts drawn from the same clinical datasets, using quantitative image metrics and blinded radiologist scoring.</p><p><strong>Results: </strong>On synthetic data, the proposed DGR model achieved the highest peak signal-to-noise ratio (PSNR) and lowest normalized mean squared error (NMSE) across low-b DWI (0.089; 95% CI, 0.072-0.105) and ADC maps (0.062; 95% CI, 0.053-0.072), outperforming FSL TOPUP and FUGUE (all <i>P</i> < .001). In the 34 clinical cases affected by susceptibility artifacts, including 16 cases with histologically confirmed lesions (16/34, 47.1%), DGR substantially improved geometric fidelity (2.74 to 3.29), identified all histologically confirmed lesions (16/16, 100%), and enhanced overall image quality and diagnostic confidence (all <i>P</i> < .001).</p><p><strong>Conclusion: </strong>This proof-of-concept study suggests that a physics-informed hybrid CNN-diffusion framework offers a practical and acquisition-free solution for correcting severe prostate DWI distortions. It warrants further development for clinical utility and implementation.</p>","PeriodicalId":519940,"journal":{"name":"Radiology advances","volume":"3 4","pages":"umag031"},"PeriodicalIF":1.8,"publicationDate":"2026-07-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC13446218/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148687367","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Reply to Letter to the Editor to \"Whole-Body MRI, ethical concerns and, equity of access in healthcare: Where we are? Where we are going?\"","authors":"Preethi Guniganti, Andrea S Kierans","doi":"10.1093/radadv/umag030","DOIUrl":"10.1093/radadv/umag030","url":null,"abstract":"","PeriodicalId":519940,"journal":{"name":"Radiology advances","volume":"3 4","pages":"umag030"},"PeriodicalIF":1.8,"publicationDate":"2026-07-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC13499073/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148804531","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}