Radiology最新文献

{"title":"Quantification of Imaging Suite-Level Energy Patterns in MRI, CT, and PET/CT to Guide Energy Efficiency.","authors":"Andrew M Hernandez, Ramsey Alizadeh, Sarah Yoon, Michael T Corwin, Elizabeth A Morris, Youngkyoo Jung","doi":"10.1148/radiol.253128","DOIUrl":"10.1148/radiol.253128","url":null,"abstract":"<p><p>Background The urgency for systemic change in how care, particularly energy-intensive advanced imaging services, is delivered and managed is evident, as the emissions associated with these services are adversely affecting human health. Although the energy demand from the main power supply (ie, electricity directly powering the imaging hardware) has been well characterized, imaging suite-level quantification that includes the heating, ventilation, and air conditioning (HVAC) and chilled water subsystems is not yet understood. Purpose To comprehensively assess imaging suite-level energy by quantifying energy demands from main power, HVAC, and chilled water subsystems. Materials and Methods Power, temperature, and flow meters were permanently installed in four imaging suites (3-T MRI, 1.5-T MRI, CT, and PET/CT) to measure energy patterns for the main power, HVAC, and MRI chilled water subsystems in an outpatient facility. Software was developed to calculate suite-level energy consumption over a 30-day period. Descriptive statistics were used to summarize power and energy consumption values across all subsystems (main power, HVAC, and chilled water) and imaging suites. Results Projected suite-level total annual energy consumption was 277.9, 211.5, 54.8, and 117.2 MWh for the 3-T MRI, 1.5-T MRI, CT, and PET/CT suites, respectively, equivalent to the annual electricity use of 25.8, 19.6, 5.1, and 10.9 average U.S. homes. Main power dominated MRI suite energy demand, accounting for 64.63% (179.6 of 277.9 MWh per year) and 72.72% (153.8 of 211.5 MWh per year) of the total for 3-T and 1.5-T MRI, respectively. The HVAC (9.97% [27.7 of 277.9]; 17.45% [36.9 of 211.5], respectively) and chilled water (25.40% [70.6 of 277.9]; 9.83% [20.8 of 211.5], respectively) subsystems also contributed. In CT and PET/CT suites, HVAC was the primary driver of demand (68.8% [37.7 of 54.8 MWh per year]; 64.76% [75.9 of 117.2 MWh per year], respectively), with the remaining attributed to main power. Conclusion Suite-level quantification revealed modality- and subsystem-specific energy patterns, where main power dominated MRI suite energy, and HVAC dominated CT and PET/CT suite energy. © RSNA, 2026 <i>Supplemental material is available for this article.</i></p>","PeriodicalId":20896,"journal":{"name":"Radiology","volume":"319 1","pages":"e253128"},"PeriodicalIF":15.2,"publicationDate":"2026-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147676351","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Ultra-processed Foods and Muscle Fat Infiltration at Thigh MRI: Data from the Osteoarthritis Initiative.","authors":"Zehra Akkaya, Gabby B Joseph, Katharina Ziegeler, Wynton M Sims, John A Lynch, Virginie Kreutzinger, Charles E McCulloch, Nancy E Lane, Michael C Nevitt, Thomas M Link","doi":"10.1148/radiol.251129","DOIUrl":"10.1148/radiol.251129","url":null,"abstract":"<p><p>Background The relationship between high ultra-processed food (UPF) consumption and musculoskeletal health remains underexplored. Purpose To assess the relationship between UPF consumption and thigh muscle fat infiltration (MFI) in a population at risk for knee osteoarthritis (KOA), using thigh MRI. Materials and Methods This cross-sectional secondary analysis uses baseline data from the Osteoarthritis Initiative (February 2004 to October 2015). Participants were at risk for KOA but free of radiographic osteoarthritis (Kellgren-Lawrence grade ≤ 1) and pain in either knee or hip. MFI was assessed using Goutallier grade (grade 0 [no fatty streaks] to grade 4 [>50% fatty signal intensity]) on axial T1-weighted spin-echo MRI scans. Standardized sum Goutallier grades were calculated for bilateral flexors, extensors, and adductors and all thigh muscles. Standardized proportion of UPF in daily diet was calculated using the NOVA diet classification and a self-reported food frequency questionnaire for the preceding 12 months. The relationship between standardized UPF consumption and Goutallier grades was tested using linear regression models adjusted for sociodemographic characteristics, total daily calories, smoking, physical activity, depression, and either body mass index (BMI, calculated as weight in kilograms divided by height in meters squared) or abdominal circumference (AC). Interaction between UPF consumption and sex was also assessed. Results A total of 615 participants were included (mean age, 59.5 years ± 9 [SD]; 340 women; mean BMI, 27 ± 4.3; mean AC, 98.9 cm ± 12.1); UPFs constituted a mean 41.4% ± 13.4 of their diet. In BMI-adjusted models, greater UPF consumption was associated with higher MFI in all thigh muscles (β = 0.108 [95% CI: 0.029, 0.186]; <i>P</i> = .007), bilateral flexors (β = 0.111 [95% CI: 0.030, 0.192]; <i>P</i> = .008), and bilateral adductors (β = 0.122 [95% CI: 0.040, 0.204]; <i>P</i> = .004). Stronger relationships were observed for all muscle groups in AC-adjusted models (all muscles: β = 0.134 [95% CI: 0.052, 0.215], <i>P</i> = .001; flexors: β = 0.133 [95% CI: 0.050, 0.217], <i>P</i> = .002; extensors: β = 0.097 [95% CI: 0.015, 0.178], <i>P</i> = .02; adductors: β = 0.147 [95% CI: 0.061, 0.232], <i>P</i> = .001). Sex interactions were not statistically significant (all <i>P</i> > .05). Conclusion Regardless of sex, high UPF consumption in individuals at risk for KOA was associated with higher muscle fat content on thigh MRI scans. ClinicalTrials.gov identifier: NCT00080171 © RSNA, 2026 <i>Supplemental material is available for this article.</i> See also the editorial by Bredella in this issue.</p>","PeriodicalId":20896,"journal":{"name":"Radiology","volume":"319 1","pages":"e251129"},"PeriodicalIF":15.2,"publicationDate":"2026-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC13139946/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147676322","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Decoupling Alzheimer Disease Pathologic Abnormalities at PET with Improved Clinical Relevance by Interpretable Adversarial Decomposition Learning.","authors":"Cheng Tang,Xun Sun,Anqi Tang,Weiwei Ruan,Fang Liu,Hanyi Fang,Yongkang Gai,Zhihou Liang,Ying Su,Xinggang Wang,Xiaoli Lan, , ","doi":"10.1148/radiol.252321","DOIUrl":"https://doi.org/10.1148/radiol.252321","url":null,"abstract":"Background Template-based PET metrics quantify Alzheimer disease (AD) amyloid-β (Aβ) and tau burden but compress whole-brain data into a single scalar, overlooking disease heterogeneity and sometimes causing imaging-clinical discordance. Artificial intelligence (AI) approaches capture richer patterns but often lack biologic interpretability. Purpose To develop and validate an interpretable deep-learning framework that separates AD-specific abnormalities from physiologic uptake using pathophysiologic constraints, generating a clinically meaningful AI biomarker. Materials and Methods In this retrospective study, Aβ and tau PET scans from the Alzheimer's Disease Neuroimaging Initiative, Australian Imaging Biomarkers and Lifestyle study, Global Alzheimer's Association Interactive Network, and the authors' center were analyzed. An adversarial decomposition learning (ADL) network generated voxel-level pathologic maps and an AD adversarial decomposition (ADAD) score. Discriminatory performance for clinical AD versus cognitively normal individuals was evaluated using the area under the curve (AUC). Clinical relevance was assessed with cognitive, hippocampal volume, cerebrospinal fluid (CSF), and neuropathologic measures using longitudinal mixed-effects models and Spearman correlations. Results The study included 7457 Aβ PET scans from 3595 patients (median age, 71.4 years; IQR, 65.7-77.0 years; 1637 female patients) and 1894 tau PET scans from 1127 patients (median age, 72.0 years; IQR, 66.9-78.5 years; 545 female patients). External testing AUCs were 0.94 (95% CI: 0.89, 0.98) for Aβ and 0.98 (95% CI: 0.95, 1.00) for tau. ADL generated interpretable pathologic attribution maps that correlated with expert rankings (Aβ and tau, Spearman ρ = 0.79 and 0.63, respectively). Although Centiloid and CenTauRz showed numerically higher correlations with postmortem neuropathologic structure and stronger associations with CSF biomarkers, the ADAD score demonstrated independent baseline and longitudinal associations with cognitive outcomes and hippocampal atrophy after adjustment. Conclusion Pathophysiologic-constrained ADL provided interpretable, personalized pathologic maps and an AI-derived ADAD score that more closely linked PET pathologic abnormalities with multimodal clinical measures. © RSNA, 2026 Supplemental material is available for this article.","PeriodicalId":20896,"journal":{"name":"Radiology","volume":"304 1","pages":"e252321"},"PeriodicalIF":19.7,"publicationDate":"2026-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147625968","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Imaging Microglia Activation in Crossed Cerebellar Diaschisis.","authors":"Haoyue Deng, Yuying Zhang","doi":"10.1148/radiol.252978","DOIUrl":"https://doi.org/10.1148/radiol.252978","url":null,"abstract":"","PeriodicalId":20896,"journal":{"name":"Radiology","volume":"319 1","pages":"e252978"},"PeriodicalIF":15.2,"publicationDate":"2026-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147779482","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Erratum for: Contrast-Enhanced US Using Perfluorobutane for Diagnosing Small HCC in High-Risk Patients: Comparison with MRI LI-RADS Version 2018.","authors":"Yu Li, Shilin Lu, Siyue Mao, Qing Li, Xuebin Zou, Sheng Li, Xiaoxian Li, Dan Lu, Min Xu, Hui-Xiong Xu, Tian'An Jiang, Andrej Lyshchik, Lingling Li, Jianhua Zhou","doi":"10.1148/radiol.269007","DOIUrl":"https://doi.org/10.1148/radiol.269007","url":null,"abstract":"","PeriodicalId":20896,"journal":{"name":"Radiology","volume":"319 1","pages":"e269007"},"PeriodicalIF":15.2,"publicationDate":"2026-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147779484","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Quantitative Phase-resolved Functional Lung MRI Prediction of Disease Progression in Connective Tissue Disease-associated Interstitial Lung Disease.","authors":"Tao Ouyang, Qiming Liu, Hongmei Zhang, Andreas Voskrebenzev, Jens Vogel-Claussen, Qi Yang","doi":"10.1148/radiol.253337","DOIUrl":"https://doi.org/10.1148/radiol.253337","url":null,"abstract":"<p><p>Background Connective tissue disease-associated interstitial lung disease (CTD-ILD) is a spatially and temporally heterogeneous disease. Determining whether CTD-ILD is in a progressive stage is crucial for guiding clinical management. Purpose To determine whether CTD-ILD is associated with ventilation and perfusion parameters quantified with phase-resolved functional lung (PREFUL) MRI and whether these functional parameters can help predict CTD-ILD progression. Materials and Methods In this prospective study performed from May 2024 to April 2025, healthy participants without pulmonary disease and participants with CTD-ILD underwent baseline PREFUL MRI, chest CT, and pulmonary function tests. Participants with CTD-ILD were followed up for 1 year. Disease progression was defined as meeting at least two of the following criteria: an absolute decline in forced vital capacity of more than 5% predicted or an absolute decline in diffusing capacity of lung for carbon monoxide of more than 10% predicted, CT evidence of disease progression, or worsening respiratory symptoms. Least absolute shrinkage and selection operator regression were applied to identify variables associated with disease progression, and predictive performance was assessed using the area under the receiver operating characteristic curve (AUC). Results A total of 172 participants (mean age, 59 years ± 11.8 [SD]; 143 women) were included. Compared with controls, participants with CTD-ILD demonstrated reduced dynamic ventilation (mean, 0.97 arbitrary units [au] ± 0.02 vs 0.95 au ± 0.05, respectively; <i>P</i> < .001) and lower perfusion (mean, 50.3 mL/min per 100 mL ± 16.2 vs 22.0 mL/min per 100 mL ± 9.2; <i>P</i> < .001). At baseline, compared with stable CTD-ILD, progressive CTD-ILD was associated with a higher perfusion defect (mean, 14.7% ± 6.8 vs 26.5% ± 9.1; <i>P</i> < .001) and lower healthy ventilation and perfusion matches (mean, 75.6% ± 8.9 vs 62.1% ± 10.8; <i>P</i> = .001). The multiparametric PREFUL model achieved the highest predictive performance (AUC, 0.87; 95% CI: 0.78, 0.95) compared with other logistic models (<i>P</i> = .004, <i>P</i> < .001). Conclusion In participants with CTD-ILD, ventilation and perfusion parameters derived from PREFUL MRI characterized distinct pulmonary perfusion phenotypes in CTD-ILD and were associated with disease progression over 1 year. © RSNA, 2026 <i>Supplemental material is available for this article.</i> See also the editorial by Rahsepar and Abtin in this issue.</p>","PeriodicalId":20896,"journal":{"name":"Radiology","volume":"319 1","pages":"e253337"},"PeriodicalIF":15.2,"publicationDate":"2026-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147779487","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Abernethy Malformation Type I with Multiple Hepatic FNH/NRH.","authors":"Fanyang Meng, Yan Teng","doi":"10.1148/radiol.252981","DOIUrl":"https://doi.org/10.1148/radiol.252981","url":null,"abstract":"","PeriodicalId":20896,"journal":{"name":"Radiology","volume":"319 1","pages":"e252981"},"PeriodicalIF":15.2,"publicationDate":"2026-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147779551","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"¹⁷⁷Lu-PSMA-617 SPECT/CT for Early Prediction of Overall Survival in Participants with Metastatic Castration-Resistant Prostate Cancer.","authors":"Narjess Ayati, Nathan Papa, Megan Crumbaker, Shalini Subramaniam, Anthony M Joshua, Ramin Alipour, Amir Iravani, Emran Askari, Sobia Khan, Surekha Yadav, Matthias Eiber, Andrew Weickhardt, Sze-Ting Lee, Siobhan Ng, Roslyn J Francis, Jeffrey C Goh, David A Pattison, Thean Hsiang Tan, Ian D Kirkwood, Andrew Nguyen, Michael S Hofman, Shahneen Sandhu, Takanori Hioki, Julian C J van Oorschodt, Katrina Devitt, Kathy Willowson, Shikha Sharma, Alexandru Stancu, Stephane Chauvie, Peter Wilson, Andrew J Martin, Hayley Thomas, Martin R Stockler, Ian D Davis, Louise Emmett","doi":"10.1148/radiol.252672","DOIUrl":"https://doi.org/10.1148/radiol.252672","url":null,"abstract":"<p><p>Background Lutetium 177 (¹⁷⁷Lu) prostate-specific membrane antigen (PSMA)-617 SPECT/CT has demonstrated promise as a response biomarker for ¹⁷⁷Lu-PSMA-617 therapy. Purpose To predict overall survival (OS) after enzalutamide plus ¹⁷⁷Lu-PSMA-617 using quantitative parameters at ¹⁷⁷Lu-PSMA-617 SPECT/CT at 6 weeks, as well as prostate-specific antigen (PSA) response, in participants with metastatic castration-resistant prostate cancer. Materials and Methods This secondary analysis of the multisite prospective ENZA-p trial (August 2020-July 2022) included participants who received enzalutamide plus ¹⁷⁷Lu-PSMA-617 (7.5 GBq). SPECT/CT was performed 24 hours after each treatment, and total tumor volume (TTV) and mean standardized uptake value were compared between the first (baseline) and second (6-week) doses. TTV complete response (CR) at SPECT/CT was defined as TTV less than 1 mL at dose 2, and deep PSA response was defined as 90% or greater PSA reduction at dose 2. Relationships between TTV CR and deep PSA response at dose 2 and OS were examined. Results This analysis included 74 men (median age, 71 years [IQR, 66-78 years]). Median follow-up was 33 months (95% CI: 28, 37). Median OS was 31 months (95% CI: 25, 33), and the 2-year survival rate was 70% (95% CI: 58, 79). Median TTV was 236 mL (IQR, 81-688 mL) at baseline and 65 mL (IQR, 12-215 mL) at 6 weeks. Median change in TTV was -57% (IQR, -89% to -38%); 4.1% (three of 74) of participants had an increase in TTV, and 16% (12 of 74) had TTV CR. Deep PSA response was seen in 63% (45 of 71) of participants. The 2-year survival rate with TTV CR was 83% (95% CI: 48, 96), versus 67% (95% CI: 54, 77) without TTV CR (hazard ratio, 0.26 [95% CI: 0.08, 0.85]; log-rank <i>P</i> = .02). The 2-year survival rate was 76% (95% CI: 58, 87) with deep PSA response without TTV CR (log-rank <i>P</i> = .05 vs TTV CR) and 54% (95% CI: 33, 71) with neither deep PSA response nor TTV CR (log-rank <i>P</i> = .003 vs TTV CR). Conclusion TTV CR at ¹⁷⁷Lu-PSMA-617 SPECT/CT at 6 weeks was associated with improved OS and may be a valuable tool for treatment personalization with ¹⁷⁷Lu-PSMA-617. ClinicalTrials.gov Identifier: NCT04419402 © RSNA, 2026 <i>Supplemental material is available for this article.</i> See also the editorial by Galgano and Turner in this issue.</p>","PeriodicalId":20896,"journal":{"name":"Radiology","volume":"319 1","pages":"e252672"},"PeriodicalIF":15.2,"publicationDate":"2026-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147779521","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"CT Emphysema and Deep Learning-derived Vertebral Bone Loss in Individuals without COPD: Findings from MESA.","authors":"Elena Ghotbi, Quincy A Hathaway, Payam Jannatdoust, Roham Hadidchi, Michael P Bancks, David A Bluemke, Matthew Budoff, Wendy Post, Eric A Hoffman, Benjamin M Smith, João A C Lima, R Graham Barr, Shadpour Demehri","doi":"10.1148/radiol.252251","DOIUrl":"10.1148/radiol.252251","url":null,"abstract":"<p><p>Background It is unknown whether subclinical emphysema-like changes, quantified at chest CT, are associated with loss of bone mineral density (BMD) in individuals without clinical chronic obstructive pulmonary disease (COPD). Purpose To identify early imaging markers of lung and bone health using deep learning-based imaging analysis in a large multiethnic cohort. Materials and Methods Chest CT scans obtained using the SubPopulations and InteRmediate Outcome Measures in COPD Study (SPIROMICS) protocol during examination 5 and 6 of the prospective Multi-Ethnic Study of Atherosclerosis (MESA) were secondarily analyzed (April 2010-March 2018). Percentage emphysema was quantified at examination, and thoracic vertebral BMD was assessed at both examinations using a validated deep learning-based segmentation model. Participants with clinical COPD as determined on the basis of spirometry or self-reports were excluded. Linear mixed-effects models were constructed and adjusted for demographic characteristics and covariates, including smoking status, physical activity, and scanner type, and the interaction effect of sex was analyzed. Results The cross-sectional analysis included 2312 participants (median age, 67 years [IQR, 61-75 years]; 1285 female participants), and the longitudinal study included 1109 participants (median age, 65 years [IQR, 60-72 years]; 614 female participants) with available follow-up CT data. A greater percentage of emphysema-like changes was associated with lower BMD (β = -1.14 mg/cm³ [95% CI: -1.76, -0.53]) cross-sectionally and with greater annual BMD loss (β = -0.07 mg/cm³ per year [95% CI: -0.13, -0.01]) longitudinally. Interaction effects were identified for sex (<i>P</i> < .001) and race or ethnicity (<i>P</i> = .049). In stratified models, the associations were significant for men (β = -0.38 mg/cm³ per year [95% CI: -0.48, -0.28]) and Black/African American participants (β = -0.24 mg/cm³ per year [95% CI: -0.39, -0.09]). The Johnson-Neyman method revealed more than 2.7% emphysema as a threshold for a decrease in BMD among men, which corresponded to 39% of the male participants. The results remained robust after adjustment for pulmonary function and chronic respiratory symptoms. Conclusion In individuals without COPD, a greater percentage of emphysema-like changes was independently associated with faster vertebral bone loss, particularly in men, suggesting that subclinical emphysema may be a novel imaging marker of systemic skeletal decline. Clinical trial registration no. NCT0000548 © RSNA, 2026 <i>Supplemental material is available for this article.</i> See also the editorial by Fukuda in this issue.</p>","PeriodicalId":20896,"journal":{"name":"Radiology","volume":"319 1","pages":"e252251"},"PeriodicalIF":15.2,"publicationDate":"2026-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC13139941/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147779498","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"We Are What We Eat: Ultra-processed Foods and Muscle Quality.","authors":"Miriam A Bredella","doi":"10.1148/radiol.260584","DOIUrl":"https://doi.org/10.1148/radiol.260584","url":null,"abstract":"","PeriodicalId":20896,"journal":{"name":"Radiology","volume":"319 1","pages":"e260584"},"PeriodicalIF":15.2,"publicationDate":"2026-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147676272","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}