European Radiology最新文献

{"title":"The value of multiparametric functional MRI histogram features in assessing multiple myeloma activity.","authors":"Ying Lin, Hongjie Huang, Zebin Xiao, Shufang Shi, Qiang Weng, Zhanhai Tu","doi":"10.1007/s00330-025-11507-2","DOIUrl":"https://doi.org/10.1007/s00330-025-11507-2","url":null,"abstract":"<p><strong>Objective: </strong>To investigate the application of histogram features of apparent diffusion coefficient (ADC), mean diffusion coefficient (MD), mean kurtosis (MK), and fat fraction (FF) for assessing multiple myeloma (MM) activity.</p><p><strong>Materials and methods: </strong>From April 2023 to December 2023, 24 multiple myeloma patients who underwent zonally oblique multi-slice diffusion-weighted imaging (ZOOM-DWI), zonally oblique multi-slice diffusion kurtosis imaging (ZOOM-DKI), and modified Dixon quantification imaging (mDixon-Quant) were enrolled in this retrospective study. Histogram features of ADC, MD, MK, and FF were analyzed. Significant variables were selected for multivariate logistic regression analysis using a backward stepwise selection method. The diagnostic efficacies of individual histogram features and combined models were evaluated by the receiver operating characteristic curve (ROC) and the area under the curve (AUC).</p><p><strong>Results: </strong>A total of 24 participants were enrolled in this study, 12 males and 12 females, with an age range of 39-73 (57.88 ± 8.55) years. The ADC and MD histogram features did not correlate with the disease status in multiple myeloma, whereas the MK and FF histogram features were significantly associated with the disease status (p < 0.05). MK_InterquartileRange and FF_Median had the highest AUC values in multiple myeloma activity assessment. The differences in diagnostic efficacies between MK_InterquartileRange and FF_Median, MK_InterquartileRange and the MK model, FF_Median and the FF model, the MK model and the FF model were not statistically different (p = 0.70, 0.54, 0.09 and 0.09, respectively).</p><p><strong>Conclusion: </strong>Histogram features of MK and FF are valuable in assessing disease activity in multiple myeloma patients.</p><p><strong>Key points: </strong>Question Accurate assessment of the disease status of multiple myeloma is crucial for enhancing individualized treatment, yet current non-invasive tools remain inadequate. Findings Mean kurtosis (MK) and fat fraction (FF) histogram features are associated with disease activity of multiple myeloma, providing rich and accurate parameters for assessing the disease status. Clinical relevance The MK and FF histogram features facilitate non-invasive assessment of multiple myeloma activity, potentially guiding the development of personalized treatment strategies.</p>","PeriodicalId":12076,"journal":{"name":"European Radiology","volume":" ","pages":""},"PeriodicalIF":4.7,"publicationDate":"2025-03-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143656618","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":"CT-based scores for extramural vascular invasion and occult peritoneal metastasis correlate with gastric cancer survival.","authors":"Qingwan Li, Zhaojuan Jiang, Yun Zhu, Siwei Lu, Jinqiu Ruan, Yanli Li, Keyu Mao, Jing Ai, Yongzhou Xu, YuTing Liao, Guangjun Yang, Yu Xie, Depei Gao, Yanni Huang, Zhenhui Li","doi":"10.1007/s00330-025-11491-7","DOIUrl":"https://doi.org/10.1007/s00330-025-11491-7","url":null,"abstract":"<p><strong>Objective: </strong>To assess the feasibility of scoring extragastric vascular invasion and occult peritoneal metastasis using preoperative computed tomography (CT) images of gastric cancer (GC) and to explore the correlation between these scores and patient prognosis.</p><p><strong>Methods: </strong>587 GC patients with CT scans from two centers, all confirmed by pathology, were retrospectively evaluated. Scores for CT-detected blood vessel invasion (ctBVI), lymphatic invasion (ctLVI), and occult peritoneal metastasis (ctOPM) were assigned based on preoperative CT images. The patients' follow-up provided data on overall and disease-free survival. Cox proportional hazard models were used to analyze prognostic factors.</p><p><strong>Results: </strong>The inter-group and intra-group consistency of ctBVL, ctLVI, and ctOPM scores were all > 0.70. Log-rank analysis demonstrated a statistically significant difference in survival curves (p < 0.001). CtBVL, ctLVI, and ctOPM scores were related to overall survival (OS) and disease-free survival (DFS). Univariate and multivariate Cox regression analyses identified ctBVL, ctLVI, ctOPM scores as independent risk factors for GC prognosis. In multivariate analysis, the three sign scores were related to DFS (p < 0.05), with ctBVL (hazard ratio (HR) = 1.980, 95% CI: 1.336-2.933), ctLVI (HR = 1.502, 95% CI: 1.336-2.933), and ctOPM (HR = 1.182, 95% CI: 0.886-1.578). The three scores were also correlated with OS (p < 0.05), ctBVL (HR = 2.003, 95% CI: 1.278-3.139), ctLVI (HR = 1.523, 95% CI:1.055-2.200) and ctOPM (HR = 1.289, 95% CI: 1.013-1.770).</p><p><strong>Conclusion: </strong>CtBVL, ctLVI, and ctOPM scores are valuable prognostic indicators in gastric cancer, influencing both OS and DFS.</p><p><strong>Key points: </strong>Question To study whether the ctBVL, ctLVI, and ctOPM scores assessed by preoperative enhanced CT imaging can predict the survival outcomes of patients. Findings CtBVL, ctLVI, and ctOPM scores, assessed via preoperative enhanced CT imaging, are associated with worse survival outcomes when elevated. Clinical relevance CtBVL, ctLVI, and ctOPM scores may help guide personalized follow-up plans. Patients with higher scores might require closer monitoring and more aggressive treatment.</p>","PeriodicalId":12076,"journal":{"name":"European Radiology","volume":" ","pages":""},"PeriodicalIF":4.7,"publicationDate":"2025-03-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143656602","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":"Availability and transparency of artificial intelligence models in radiology: a meta-research study.","authors":"Taehee Lee, Jong Hyuk Lee, Soon Ho Yoon, Seong Ho Park, Hyungjin Kim","doi":"10.1007/s00330-025-11492-6","DOIUrl":"https://doi.org/10.1007/s00330-025-11492-6","url":null,"abstract":"<p><strong>Objectives: </strong>This meta-research study explored the availability of artificial intelligence (AI) models from development studies published in leading radiology journals in 2022, with availability defined as the transparent reporting of relevant technical details, such as model architecture and weights, necessary for independent replication.</p><p><strong>Materials and methods: </strong>A systematic search of Ovid Medline and Embase was conducted to identify AI model development studies published in five leading radiology journals in 2022. Data were extracted on study characteristics, model details, and code and model-sharing practices. The proportion of AI studies sharing their models was analyzed. Logistic regression analyses were employed to explore associations between study characteristics and model availability.</p><p><strong>Results: </strong>Of 268 studies reviewed, 39.9% (n = 107) made their models available. Deep learning (DL) models exhibited particularly low availability, with only 11.5% (n = 13) of the 113 studies being fully available. Training codes for DL models were provided in 22.1% (n = 25), suggesting limited ability to train DL models with one's own data. Multivariable logistic regression analysis showed that the use of traditional regression-based models (odds ratio [OR], 17.11; 95% CI: 5.52, 53.05; p < 0.001) was associated with higher availability, while the radiomics package usage (OR, 0.27; 95% CI: 0.11, 0.65; p = 0.003) was associated with lower availability.</p><p><strong>Conclusion: </strong>The availability of AI models in radiology publications remains suboptimal, especially for DL models. Enforcing model-sharing policies, enhancing external validation platforms, addressing commercial restrictions, and providing demos for commercial models in open repositories are necessary to improve transparency and replicability in radiology AI research.</p><p><strong>Key points: </strong>Question The study addresses the limited availability of AI models in radiology, especially DL models, which impacts external validation and clinical reliability. Findings Only 39.9% of radiology AI studies made their models available, with DL models showing particularly low availability at 11.5%. Clinical relevance Improving the availability of radiology AI models is essential for enabling external validation, ensuring reliable clinical application, and advancing patient care by fostering robust and transparent AI systems.</p>","PeriodicalId":12076,"journal":{"name":"European Radiology","volume":" ","pages":""},"PeriodicalIF":4.7,"publicationDate":"2025-03-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143647805","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":"Non-contrast-enhanced multiparametric cardiac magnetic resonance reveals coronary microvascular functional and structural obstruction after percutaneous coronary intervention.","authors":"Hideo Arai, Masateru Kawakubo, Pandji Triadyaksa, Adi Wibowo, Kenichi Sanui, Hiroshi Nishimura, Toshiaki Kadokami","doi":"10.1007/s00330-025-11496-2","DOIUrl":"https://doi.org/10.1007/s00330-025-11496-2","url":null,"abstract":"<p><strong>Objectives: </strong>Coronary microvascular functional and structural obstructions (CMVO) after percutaneous coronary intervention (PCI) are a major cause of poor clinical outcomes in patients with acute coronary syndrome. This study aimed to noninvasively diagnose the presence of CMVO using non-contrast multiparametric cardiac magnetic resonance (CMR) in patients with acute myocardial infarction (AMI) who underwent PCI.</p><p><strong>Methods: </strong>We retrospectively enrolled consecutive patients with AMI who underwent PCI and subsequent acute-phase CMR at our hospital. The patients were divided into two groups: those with and those without CMVO. The top five clinical and CMR parameters were extracted based on their correlation coefficients with the presence of CMVO. Receiver-operator characteristic (ROC) curves and area under the curve (AUC) were generated to compare the diagnostic performance of CMVO detection using the Top_5 clinical parameters, Top_5 CMR parameters, and CMR left ventricular (LV) volume and structure parameters. Differences in the AUC between parameters were compared using the DeLong test.</p><p><strong>Results: </strong>Forty-eight patients (40 men and 8 women; mean age, 66 ± 12 years) were included in the study. For CMVO detection, the ROC curves of Top_5 clinical parameters, Top_5 CMR parameters, and CMR LV volume and structure parameters demonstrated AUCs of 0.87, 1.00, and 0.72, respectively. The Top_5 CMR parameters exhibited the highest AUC, showing significant differences compared to the other groups.</p><p><strong>Conclusion: </strong>Non-contrast enhanced multiparametric CMR allows the diagnosis of CMVO with high accuracy and without kidney burden and is expected to be a useful marker for risk stratification, patient management, and treatment decision-making.</p><p><strong>Key points: </strong>Question CMVO following PCI is difficult to diagnose through coronary angiography and can lead to adverse outcomes. Findings Non-contrast enhanced multiparametric CMR imaging has the potential to accurately diagnose CMVOs and further identify their location and extent. Critical relevance Non-contrast enhanced multiparametric CMR enables accurate, noninvasive diagnosis of CMVO, and provides both organic and functional myocardial information. These findings are crucial for diverse CMVO etiologies that require individualized treatment, and may help risk stratification, patient management, and treatment decision-making.</p>","PeriodicalId":12076,"journal":{"name":"European Radiology","volume":" ","pages":""},"PeriodicalIF":4.7,"publicationDate":"2025-03-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143647807","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":"Impact of hospital-specific domain adaptation on BERT-based models to classify neuroradiology reports.","authors":"Siddharth Agarwal, David Wood, Benjamin A K Murray, Yiran Wei, Ayisha Al Busaidi, Sina Kafiabadi, Emily Guilhem, Jeremy Lynch, Matthew Townend, Asif Mazumder, Gareth J Barker, James H Cole, Peter Sasieni, Sebastien Ourselin, Marc Modat, Thomas C Booth","doi":"10.1007/s00330-025-11500-9","DOIUrl":"https://doi.org/10.1007/s00330-025-11500-9","url":null,"abstract":"<p><strong>Objectives: </strong>To determine the effectiveness of hospital-specific domain adaptation through masked language modelling (MLM) on BERT-based models' performance in classifying neuroradiology reports, and to compare these models with open-source large language models (LLMs).</p><p><strong>Materials and methods: </strong>This retrospective study (2008-2019) utilised 126,556 and 86,032 MRI brain reports from two tertiary hospitals-King's College Hospital (KCH) and Guys and St Thomas' Trust (GSTT). Various BERT-based models, including RoBERTa, BioBERT and RadBERT, underwent MLM on unlabelled reports from these centres. The downstream tasks were binary abnormality classification and multi-label classification. Performances of models with and without hospital-specific domain adaptation were compared against each other and LLMs on internal (KCH) and external (GSTT) hold-out test sets. Model performances for binary classification were compared using 2-way and 1-way ANOVA.</p><p><strong>Results: </strong>All models that underwent hospital-specific domain adaptation performed better than their baseline counterparts (all p-values < 0.001). For binary classification, MLM on all available unlabelled reports (194,467 reports) yielded the highest balanced accuracies (KCH: mean 97.0 ± 0.4% (standard deviation), GSTT: 95.5 ± 1.0%), after which no differences between BERT-based models remained (1-way ANOVA, p-values > 0.05). There was a log-linear relationship between the number of reports and performance. LLama-3.0 70B was the best-performing LLM (KCH: 97.1%, GSTT: 94.0%). Multi-label classification demonstrated consistent performance improvements from MLM for all abnormality categories.</p><p><strong>Conclusion: </strong>Hospital-specific domain adaptation should be considered best practice when deploying BERT-based models in new clinical settings. When labelled data is scarce or unavailable, LLMs can serve as a viable alternative, assuming adequate computational power is accessible.</p><p><strong>Key points: </strong>Question BERT-based models can classify radiology reports, but it is unclear if there is any incremental benefit from additional hospital-specific domain adaptation. Findings Hospital-specific domain adaptation resulted in the highest BERT-based model accuracies and performance scaled log-linearly with the number of reports. Clinical relevance BERT-based models after hospital-specific domain adaptation achieve the best classification results provided sufficient high-quality training labels. When labelled data is scarce, LLMs such as Llama-3.0 70B are a viable alternative provided there are sufficient computational resources.</p>","PeriodicalId":12076,"journal":{"name":"European Radiology","volume":" ","pages":""},"PeriodicalIF":4.7,"publicationDate":"2025-03-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143647806","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":"Correlation between tumor stroma ratio, prognosis, and apparent diffusion coefficient in alveolar soft part sarcoma.","authors":"Shaobo Fang, Junhui Yuan, Keshuo Yang, Fan Meng, Dongqiu Shan, Chunmiao Xu, Xuejun Chen, Meiyun Wang","doi":"10.1007/s00330-025-11490-8","DOIUrl":"https://doi.org/10.1007/s00330-025-11490-8","url":null,"abstract":"<p><strong>Objectives: </strong>To investigate the correlation between tumor stroma ratio (TSR) and survival in patients with alveolar soft part sarcoma (ASPS), and the application of apparent diffusion coefficient (ADC) histogram parameters in assessing TSR.</p><p><strong>Methods: </strong>This retrospective study collected 61 patients from May 2015 to December 2018. TSR was classified as stroma-rich (low TSR) or stroma-poor (high TSR) based on histology. The correlation between TSR and clinicopathological characteristics was analyzed. Prognostic value for 5-year progression-free survival (5-PFS) and 5-year overall survival (5-OS) were assessed using Kaplan-Meier analysis, log-rank test, and Cox regression. Independent sample t-tests or Mann-Whitney U-test and receiver operating characteristic curve analysis examined TSR and ADC histogram parameters.</p><p><strong>Results: </strong>Sixty-one patients met the inclusion criteria (mean age 25.5 ± 12.2 years; 30 males, 31 females). Low TSR was significantly associated with lymph node metastasis (p = 0.048). In multivariate analysis, low TSR was an independent adverse prognostic factor for 5-PFS (hazard ratios [HR] and 95% = 10.456, 95% confidence intervals [CI]: 1.816-60.208, p = 0.009) and 5-OS (HR = 4.789, 95% CI: 1.164-19.708, p = 0.030). Significant differences were found in ADC_25th, ADC_50th, and ADC_mean between TSR groups (p < 0.05). The combination of the three ADC values improved diagnostic efficiency (area under the curve = 0.781, sensitivity = 81.48%, specificity = 82.35%), with a Youden index of 0.638.</p><p><strong>Conclusion: </strong>TSR is an independent prognostic factor for PFS and OS in ASPS patients. ADC histogram parameters serve as imaging biomarkers for evaluating TSR.</p><p><strong>Key points: </strong>Question The prognostic value of TSR in ASPS remains unclear, with limited imaging biomarkers available for assessment. Findings Low TSR is associated with poorer 5-PFS and OS. ADC histogram parameters aid in TSR evaluation. Clinical relevance TSR as a prognostic factor, assessed through ADC histogram parameters, offers a non-invasive imaging method that may be useful in predicting the progression of alveolar soft tissue sarcoma.</p>","PeriodicalId":12076,"journal":{"name":"European Radiology","volume":" ","pages":""},"PeriodicalIF":4.7,"publicationDate":"2025-03-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143633981","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":"On-table monitoring of prostate MRI could enable tailored utilisation of gadolinium contrast.","authors":"Tom Syer, Bruno Carmo, Nimalam Sanmugalingam, Brooke Lawson, Wellington Chishaya, Christopher Shepherd, Tristan Barrett, Iztok Caglic","doi":"10.1007/s00330-025-11479-3","DOIUrl":"https://doi.org/10.1007/s00330-025-11479-3","url":null,"abstract":"<p><strong>Objectives: </strong>To compare the impact of on-table monitoring vs standard-of-care multiparametric MRI (mpMRI) for the utilisation of gadolinium contrast use in prostate MRI.</p><p><strong>Materials and methods: </strong>This retrospective observation study of prospectively acquired data was conducted at a single institution over an 18-month period. A cohort of patients undergoing MRI for suspected prostate cancer (PCa) underwent on-table monitoring where their T2 and DWI images were reviewed by a supervising radiologist during the scan to decide whether to acquire dynamic contrast-enhanced (DCE) sequences. MRI scans were reported using PI-RADS v2.1, patients were followed up with biopsy for at least 12 months. The rate of gadolinium administration, biopsy rates, and diagnostic accuracy were compared to that of a standard-of-care control group undergoing mpMRI during the same period using propensity score matching. Estimates of cost savings were also calculated.</p><p><strong>Results: </strong>1410 patients were identified and after propensity score matching 598 patients were analysed, with 178 undergoing on-table monitoring. Seventy-five and eight tenths (135/178) of patients did not receive gadolinium. Contrast was used mainly for indeterminate lesions (27/43) and significant artefacts on bpMRI (14/43). When comparing the monitored cohort to a non-monitored control group, there was a comparable number of biopsies performed (52.2% vs 49.5%, p = 0.54), PI-RADS 3/5 scoring rates (10.1% vs 7.4%, p = 0.27), sensitivity (98.3% vs 99.2%, p = 0.56), and specificity (63.9% vs 70.7%, p = 0.18) for detection of clinically-significant PCa. When acquired, DCE was deemed helpful in 67.4% (29/43) of cases and improved both PI-QUALv2 and reader confidence scores. There was an estimated saving of £56,677 over the 18-month study.</p><p><strong>Conclusion: </strong>On-table monitoring significantly reduced the need for gadolinium contrast without compromising diagnostic accuracy and biopsy rates.</p><p><strong>Key points: </strong>Question Default use of gadolinium contrast in prostate MRI is not always of clinical benefit and has associated side effects and healthcare costs. Findings On-table monitoring avoided the use of gadolinium in 75.8% of patients, reducing associated costs whilst maintaining clinically significant cancer detection, and diagnostic accuracy and improving reader confidence. Clinical relevance On-table monitoring offers personalised patient protocolling with a significant reduction in the use of gadolinium and its associated side effects and costs, potentially maximising the advantages of both multiparametric and biparametric prostate MRI.</p>","PeriodicalId":12076,"journal":{"name":"European Radiology","volume":" ","pages":""},"PeriodicalIF":4.7,"publicationDate":"2025-03-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143633982","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":"Reconsidering gadolinium in long-term glioma follow-up: is contrast always and unquestionably necessary?","authors":"Pablo Naval-Baudin, Albert Pons-Escoda","doi":"10.1007/s00330-025-11504-5","DOIUrl":"https://doi.org/10.1007/s00330-025-11504-5","url":null,"abstract":"","PeriodicalId":12076,"journal":{"name":"European Radiology","volume":" ","pages":""},"PeriodicalIF":4.7,"publicationDate":"2025-03-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143624067","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":"Liver function estimation using multiphase hepatic CT: diagnostic performance of iodine-uptake and volumetric parameters.","authors":"Yasunori Nagayama, Masamichi Hokamura, Narumi Taguchi, Yasuhiro Yokota, Takumi Osaki, Koji Ogasawara, Shinya Shiraishi, Ryuya Yoshida, Ryota Harai, Masafumi Kidoh, Seitaro Oda, Takeshi Nakaura, Toshinori Hirai","doi":"10.1007/s00330-025-11497-1","DOIUrl":"https://doi.org/10.1007/s00330-025-11497-1","url":null,"abstract":"<p><strong>Objectives: </strong>To investigate whether multiphase hepatic CT can predict liver function measured with indocyanine-green-retention test (ICG-R15) and identify patients with severe liver dysfunction contraindicating major hepatectomy, defined as ICG-R15 ≥ 20%, compared to technetium-^99m-galactosyl serum albumin (^99mTc-GSA) scintigraphy.</p><p><strong>Materials and methods: </strong>This retrospective study included 118 patients (84 men, mean age, 69.4 ± 11.3 years) who underwent ICG-R15, ^99mTc-GSA, and multi-phase CT including early portal-venous-phase and 3-min delayed-phase. CT-derived extracellular volume fraction (ECV), iodine washout rate (IWR), liver and spleen volumes normalized by body-surface-area (LV/BSA and SpV/BSA, respectively), and ^99mTc-GSA-derived blood clearance index (HH15) and liver receptor index (LHL15) were quantified. Each parameter was compared between ICG-R15 ≥ 20% (n = 22) and ICG-R15 < 20% (n = 96) groups. Correlations with ICG-R15 were analyzed. The diagnostic performance to predict ICG-R15 ≥ 20% was assessed with areas under the receiver operating characteristic curve (AUC). Multivariable logistic regression analysis was used to identify independent CT predictors, and combined performance was determined.</p><p><strong>Results: </strong>In the ICG-R15 ≥ 20% group, IWR (p < 0.001), LV/BSA (p = 0.026), LHL15 (p < 0.001) were lower and ECV (p = 0.001), SpV/BSA (p = 0.005), and HH15 (p < 0.001) were higher compared to ICG-R15 < 20% group. ICG-R15 showed positive correlations with ECV (r = 0.355), SpV/BSA (r = 0.248), and HH15 (r = 0.385), while negative correlations with IWR (r = -0.523), LV/BSA (r = -0.123, not statistically significant), and LHL15 (r = -0.504). The AUC of ECV, IWR, LV/BSA, SpV/BSA, HH15, and LHL15 were 0.719, 0.845, 0.653, 0.694, 0.844, and 0.878, respectively. IWR, SpV/BSA, and LV/BSA were independent predictors, with a combined AUC of 0.924.</p><p><strong>Conclusion: </strong>IWR predicted liver function better than ECV and hepatosplenic volumetry. The combined IWR and volumetry yielded an accurate prediction of severe liver dysfunction.</p><p><strong>Key points: </strong>Question Despite the widespread use of multiphase CT in patients with hepatobiliary diseases, its potential role in assessing liver function has been scarcely evaluated. Findings Iodine washout rate (IWR), liver volume indexed by body surface area, and spleen volume indexed by body surface area were independent predictors for severe liver dysfunction. Clinical relevance Combined IWR and hepatosplenic volumetry on routine hepatic CT may help assess hepatic function for optimizing treatment strategies and predicting patient prognosis.</p>","PeriodicalId":12076,"journal":{"name":"European Radiology","volume":" ","pages":""},"PeriodicalIF":4.7,"publicationDate":"2025-03-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143624065","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":"Correction: Spatiotemporal patterns of brain iron-oxygen metabolism in patients with Parkinson's disease.","authors":"Su Yan, Jun Lu, Yuanhao Li, Junghun Cho, Shun Zhang, Wenzhen Zhu, Yi Wang","doi":"10.1007/s00330-025-11435-1","DOIUrl":"https://doi.org/10.1007/s00330-025-11435-1","url":null,"abstract":"","PeriodicalId":12076,"journal":{"name":"European Radiology","volume":" ","pages":""},"PeriodicalIF":4.7,"publicationDate":"2025-03-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143604376","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}