Radiologia Medica最新文献

{"title":"Correction: Quantification of progressive pulmonary fibrosis by visual scoring of HRCT images: recommendations from Italian chest radiology experts.","authors":"Elisa Baratella, Andrea Borghesi, Lucio Calandriello, Giancarlo Cortese, Giovanni Della Casa, Chiara Giraudo, Emanuele Grassedonio, Anna Rita Larici, Stefano Palmucci, Chiara Romei, Ubaldo Romeo Plastina, Nicola Sverzellati","doi":"10.1007/s11547-025-02036-5","DOIUrl":"https://doi.org/10.1007/s11547-025-02036-5","url":null,"abstract":"","PeriodicalId":20817,"journal":{"name":"Radiologia Medica","volume":" ","pages":""},"PeriodicalIF":9.7,"publicationDate":"2025-06-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144507966","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":"Assessment of hypothalamic macrostructure in episodic cluster headache: a volumetric segmentation MRI study.","authors":"Davide Chiffi, Antonio Di Renzo, Giada Giuliani, Chiara Abagnale, Marta Altieri, Gabriele Sebastianelli, Francesco Casillo, Vittorio Di Piero, Gianluca Coppola, Francesca Caramia","doi":"10.1007/s11547-025-02041-8","DOIUrl":"https://doi.org/10.1007/s11547-025-02041-8","url":null,"abstract":"<p><strong>Purpose: </strong>The functional involvement of the hypothalamus in the pathophysiology of episodic cluster headache (eCH) is well known, but its macrostructural involvement remains unclear. In this study, we investigated differences in the volumetry of the entire hypothalamus and its subunits in patients with in-bout eCH during headache-free periods.</p><p><strong>Material and methods: </strong>We examined hypothalamic volumes in 26 eCH patients (scanned during bout periods but outside of active attacks and off prophylactic medications) and 20 age- and sex-matched healthy controls (HCs). Magnetic resonance imaging (MRI) with T1-weighted sequences was used to perform volumetric segmentation of hypothalamic subunits (anterior-inferior, anterior-superior, posterior, tubular inferior, and tubular superior) and total hypothalamic volume. General linear models were used to assess volumetric differences, adjusting for age, sex, and total intracranial volume.</p><p><strong>Results: </strong>No statistically significant differences were found in either hypothalamic subunit volumes or total hypothalamic volumes between eCH patients and HCs (p > 0.05). Additionally, no correlations emerged between the hypothalamic volumes and CH clinical features.</p><p><strong>Conclusion: </strong>These findings align with previous studies, suggesting that CH pathophysiology may involve network-level functional alterations rather than macrostructural hypothalamic changes.</p>","PeriodicalId":20817,"journal":{"name":"Radiologia Medica","volume":" ","pages":""},"PeriodicalIF":9.7,"publicationDate":"2025-06-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144507965","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":"Update on newer ultrasound systems to study the microvasculature.","authors":"Orlando Catalano, Antonio Pio Masciotra","doi":"10.1007/s11547-025-02035-6","DOIUrl":"https://doi.org/10.1007/s11547-025-02035-6","url":null,"abstract":"<p><p>Color and power Doppler imaging has been employed for decades to analyze the presence, amount, and distribution of flow signals (i.e., blood vessels) in organs and abnormalities, representing a valuable adjunct to gray-scale morphostructural ultrasound. Conventional Doppler modalities, however, have the significant limitation of being insensitive to detect flow within vessels that are too thin and/or that contain blood flowing too slow. In this review article, we focus on the systems that the different companies have developed in the last decade to improve the ultrasound effectiveness in sensitively detecting microvascular flows.</p>","PeriodicalId":20817,"journal":{"name":"Radiologia Medica","volume":" ","pages":""},"PeriodicalIF":9.7,"publicationDate":"2025-06-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144485687","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":"Artificial intelligence in polycystic ovarian syndrome management: past, present, and future.","authors":"Jinyuan Wang, Ruxin Chen, Haojun Long, Junhui He, Masong Tang, Mingxuan Su, Renhe Deng, Yuru Chen, Rongqian Ni, Shuhua Zhao, Meng Rao, Huawei Wang, Li Tang","doi":"10.1007/s11547-025-02032-9","DOIUrl":"https://doi.org/10.1007/s11547-025-02032-9","url":null,"abstract":"<p><strong>Background: </strong>Integrating artificial intelligence (AI) prospected in the practical clinical management of polycystic ovary syndrome (PCOS) promised significant improvement in efficiency, interpretability, and generalizability.</p><p><strong>Purpose: </strong>To delineate a comprehensive inventory of AI-driven interventions pertinent to PCOS across diverse clinical contexts.</p><p><strong>Evidence reviews: </strong>AI-based analytics profoundly transformed the management of PCOS, particularly in the domains of prediction, diagnosis, classification, and screening of potential complications.</p><p><strong>Results: </strong>Our analysis traced the principal applications of AI in PCOS management, focusing on prediction, diagnosis, classification, and screening. Furthermore, this study ventures into the potential of amalgamating and augmenting existing digital health technologies to forge an AI-augmented digital healthcare ecosystem encompassing the prevention and holistic management of PCOS. We also discuss strategic avenues that may facilitate the clinical translation of these innovative systems.</p><p><strong>Conclusion: </strong>This systematic review consolidated the latest advancements in AI-driven PCOS management encompassing prediction, diagnosis, classification, and screening of potential complications, developing a digital healthcare framework tailored to the practical clinical management of PCOS.</p>","PeriodicalId":20817,"journal":{"name":"Radiologia Medica","volume":" ","pages":""},"PeriodicalIF":9.7,"publicationDate":"2025-06-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144476455","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":"Correction: Radioembolization for Hepatocellular Carcinoma: a Comparison on Dual-phase Cone-beam CT, Contrast-enhanced CT (CECT) and ^99mTc-macroaggregated albumin-SPECT/CT in predicting final distribution volumes and dosimetry of the post-embolization ⁹⁰Y PET/CT.","authors":"Ettore di Gaeta, Michela Olivieri, Annarita Savi, Patrizia Magnani, Carla Canevari, Simone Gusmini, Diego Palumbo, Giorgia Guazzarotti, Luigi Augello, Francesca Calabrese, Stephanie Steidler, Federica Cipriani, Margherita Rimini, Andrea Casadei-Gardini, Luca Aldrighetti, Arturo Chiti, Francesco De Cobelli","doi":"10.1007/s11547-025-02031-w","DOIUrl":"https://doi.org/10.1007/s11547-025-02031-w","url":null,"abstract":"","PeriodicalId":20817,"journal":{"name":"Radiologia Medica","volume":" ","pages":""},"PeriodicalIF":9.7,"publicationDate":"2025-06-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144476456","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":"Artificial intelligence-based tumor size measurement on mammography: agreement with pathology and comparison with human readers' assessments across multiple imaging modalities.","authors":"Mi-Ri Kwon, Sung Hun Kim, Ga Eun Park, Han Song Mun, Bong Joo Kang, Yun Tae Kim, Inyoung Yoon","doi":"10.1007/s11547-025-02033-8","DOIUrl":"10.1007/s11547-025-02033-8","url":null,"abstract":"<p><strong>Purpose: </strong>To evaluate the agreement between artificial intelligence (AI)-based tumor size measurements of breast cancer and the final pathology and compare these results with those of other imaging modalities.</p><p><strong>Material and methods: </strong>This retrospective study included 925 women (mean age, 55.3 years ± 11.6) with 936 breast cancers, who underwent digital mammography, breast ultrasound, and magnetic resonance imaging before breast cancer surgery. AI-based tumor size measurement was performed on post-processed mammographic images, outlining areas with AI abnormality scores of 10, 50, and 90%. Absolute agreement between AI-based tumor sizes, image modalities, and histopathology was assessed using intraclass correlation coefficient (ICC) analysis. Concordant and discordant cases between AI measurements and histopathologic examinations were compared.</p><p><strong>Results: </strong>Tumor size with an abnormality score of 50% showed the highest agreement with histopathologic examination (ICC = 0.54, 95% confidential interval [CI]: 0.49-0.59), showing comparable agreement with mammography (ICC = 0.54, 95% CI: 0.48-0.60, p = 0.40). For ductal carcinoma in situ and human epidermal growth factor receptor 2-positive cancers, AI revealed a higher agreement than that of mammography (ICC = 0.76, 95% CI: 0.67-0.84 and ICC = 0.73, 95% CI: 0.52-0.85). Overall, 52.0% (487/936) of cases were discordant, with these cases more commonly observed in younger patients with dense breasts, multifocal malignancies, lower abnormality scores, and different imaging characteristics.</p><p><strong>Conclusion: </strong>AI-based tumor size measurements with abnormality scores of 50% showed moderate agreement with histopathology but demonstrated size discordance in more than half of the cases. While comparable to mammography, its limitations emphasize the need for further refinement and research.</p>","PeriodicalId":20817,"journal":{"name":"Radiologia Medica","volume":" ","pages":""},"PeriodicalIF":9.7,"publicationDate":"2025-06-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144333795","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":"Emerging MRI-based spine scoring techniques targeting bone quality to assess osteoporosis, vertebral fracture risk, other spinal degenerative diseases, and post-surgical outcomes.","authors":"Rahman Ud Din, Haisheng Yang","doi":"10.1007/s11547-025-02029-4","DOIUrl":"https://doi.org/10.1007/s11547-025-02029-4","url":null,"abstract":"<p><p>Osteoporosis is a metabolic skeletal disease defined by reduced bone mass and a higher risk of vertebral fractures. Due to the increasing elderly population worldwide, it is considered a major healthcare challenge for now and the future. Magnetic resonance imaging (MRI), a non-radiation modality, is emerging as an opportunistic tool for assessing osteoporosis using T1-weighted images. While extensive research has been conducted in this area, a unified and comprehensive review encompassing current knowledge, methodologies, diagnostic efficacy, and prospective research direction is still needed. Hence, this review aimed to evaluate the role of emerging MRI scoring techniques for assessing osteoporosis, predicting vertebral fracture risks, evaluating other spinal degenerative diseases, and determining spine surgical outcomes. We highlighted the fundamentals of MRI scoring techniques and their types (anatomical regions, MRI sequences, and field strengths) and also provided an overview of their diagnostic performance in the clinical applications of osteoporosis, vertebral fractures, degenerative diseases, and bone quality, both pre- and postoperatively. The prediction of new fractures and surgical outcomes, i.e., pedicle screw loosening, proximal junction kyphosis, and cage subsidence, was also presented. Considering the pathophysiology of osteoporosis, this review revealed true representation by MRI scores in defining bone quality. Finally, we discussed factors that influence threshold scores, generalizability, reliability, correlations, and lastly, suggested future directions.</p>","PeriodicalId":20817,"journal":{"name":"Radiologia Medica","volume":" ","pages":""},"PeriodicalIF":9.7,"publicationDate":"2025-06-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144286420","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":"Clinical MRI to predict motor and non-motor effects of deep brain stimulation in Parkinson disease.","authors":"Corrado Campisi, Giovanni Giulietti, Carlo Alberto Artusi, Federico D'Agata, Giovanni Morana, Claudia Ledda, Elisa Montanaro, Mario Coriasco, Leonardo Lopiano, Marco Bozzali","doi":"10.1007/s11547-025-02025-8","DOIUrl":"https://doi.org/10.1007/s11547-025-02025-8","url":null,"abstract":"<p><strong>Purpose: </strong>Subthalamic deep brain stimulation (STN-DBS) is a well-established intervention for advanced Parkinson's disease (PD). Routine neuroimaging can be used to estimate location and volume of activated tissue (VTA), by modeling the type of stimulator and stimulation parameters. We aimed here at developing a strategy based on clinical brain MRI scans to predict motor and non-motor outcomes of STN-DBS.</p><p><strong>Materials and methods: </strong>We included 25 consecutive patients with advanced PD eligible for STN-DBS. At baseline, patients underwent a comprehensive motor and cognitive/behavioral assessment, and conventional MRI. They underwent STN-DBS surgery, followed by a CT scan. Patients were reassessed 1 year later, while STN-DBS was active. Their neuroimaging data were used to calculate individual VTAs. The voxel-lesion-symptom-mapping (VLSM) toolbox, which allows to associate clinical variables with brain features of interest, was used to investigate associations between changes (in either direction) of motor, cognitive/behavioral scores between baseline and follow-up, and VTA subregions. Six newly enrolled patients were used to test the predictive value of this approach at a single subject level.</p><p><strong>Results: </strong>VLSM analysis (p values corrected for multiple comparisons < 0.05) identified specific VTA subclusters associated with improved bradykinesia, verbal fluency, and mood state, and some others associated with worsening of tremor, long-term memory, and apathy. When considering cognitive/behavioral changes, an effect of hemisphere lateralization was observed, with modulation of the right basal ganglia being associated with symptoms' worsening, and left-side modulation associated with improvements. VTA subclusters predictive for clinical changes were mostly located outside the STN, indicating the importance of networks over single nuclei simulation.</p><p><strong>Conclusion: </strong>This approach suggests a possible way to personalize surgical planning, DBS-implant choice, and stimulation programing in the framework of precision medicine.</p>","PeriodicalId":20817,"journal":{"name":"Radiologia Medica","volume":" ","pages":""},"PeriodicalIF":9.7,"publicationDate":"2025-06-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144249326","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":"Aortic valve and coronary artery calcium scoring: impact of half- versus standard-dose protocols.","authors":"Cesare Mantini, Filippo Cademartiri, Luca Procaccini, Claudio Tana, Domenico Mastrodicasa, Luca Saba, Sabina Gallina, Marco Tana, Massimo Caulo, Fabrizio Ricci","doi":"10.1007/s11547-025-02027-6","DOIUrl":"https://doi.org/10.1007/s11547-025-02027-6","url":null,"abstract":"<p><strong>Aims: </strong>CT acquisition parameters and reconstruction techniques may affect the accuracy of calcium scoring measurements with a potential impact on clinical decision making. We evaluated the agreement of half- versus standard-dose protocols for assessment of aortic valve (AVCS HD and AVCS SD protocols) and coronary artery calcium scoring (CACS HD and CACS SD protocols) with and without the application of iterative reconstruction.</p><p><strong>Methods: </strong>We enrolled 144 consecutive patients (mean age 83 ± 9 years) with known aortic stenosis undergoing 128-row prospective sequential CT with standard (120 kVp/20 mAs) and half-dose (120 kVp/10 mAs) protocols for both AVCS and CACS evaluation. The half-dose dataset was processed with and without iterative reconstruction. Agreement and precision of different protocols were evaluated using linear regression and Bland-Altman analysis. Additionally, we assessed the reclassification of cardiovascular risk based on the Mayo Clinic system and the likelihood of severe aortic stenosis using sex-specific categories.</p><p><strong>Results: </strong>Compared with the standard dose, the half-dose protocol with or without iterative reconstruction demonstrated optimum agreement for the evaluation of AVCS (r = 0.99; R² = 0.97) and CACS (r = 0.96; R² = 0.93). The half-dose iterative reconstruction protocol yielded a very low rate of reclassification aortic stenosis severity (1.4%) and cardiovascular risk (6.2%). The half-dose protocol resulted in 47.5% radiation dose reduction compared to standard dose (dose-length product: 8.5 ± 1.1 vs. 17.9 ± 2.7; p < 0.001).</p><p><strong>Conclusions: </strong>Our findings suggest that the half-dose protocol with iterative reconstruction provides reliable and accurate results for both AVCS and CACS assessment. This evidence underscores the potential to optimize radiation dose while preserving the precision of diagnostic outcomes, thereby minimally impacting clinical management.</p>","PeriodicalId":20817,"journal":{"name":"Radiologia Medica","volume":" ","pages":""},"PeriodicalIF":9.7,"publicationDate":"2025-06-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144249325","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":"The impact of sarcopenia on sarcoma patients: a systematic review and meta-analysis.","authors":"Domenico Albano, Moreno Zanardo, Mariachiara Basile, Nicole Alessandra De Micheli, Alessandro Berenghi, Francesca Serpi, Salvatore Gitto, Carmelo Messina, Luca Maria Sconfienza","doi":"10.1007/s11547-025-02016-9","DOIUrl":"https://doi.org/10.1007/s11547-025-02016-9","url":null,"abstract":"<p><strong>Purpose: </strong>Sarcopenia has been linked to poor outcomes in various cancers, but its specific effect on sarcoma patients remains unclear. This systematic review and meta-analysis investigates the impact of sarcopenia, estimated using CT, on sarcoma patients, focusing on prognostic implications and associated outcomes.</p><p><strong>Materials and methods: </strong>The PubMed, Embase, and SCOPUS databases were searched up to March 2025. Then, a meta-analysis of the data was performed. Overall survival (OS) and relapse-free survival (RFS) were the endpoints. Hazard ratios and 95% confidence intervals were assessed to evaluate the association between sarcopenia and survival of sarcoma patients.</p><p><strong>Results: </strong>Eighteen studies with a total of 1699 patients met the inclusion criteria. Liposarcoma was the most reported histotype in 67% of the studies, with extremities being the most common tumor location (50%), and chemotherapy was the primary intervention in 89% of cases, followed by radiation therapy (78%) and surgery (67%). Analyzing seven articles, a pooled HR of 1.91 (95% CI 1.09-3.34) for OS was reached, indicating that sarcopenic patients have a 91% higher risk of mortality compared to non-sarcopenic patients (p < 0.01). There is no evidence of selective publication (p = 0.137). The meta-analysis for the two studies that reported HR of RFS resulted 1.16 (95% CI 0.85-1.59), not significant (p = 0.28). The quality of the included studies demonstrated high methodological rigor.</p><p><strong>Conclusions: </strong>Worse outcomes have been observed in sarcopenic patients with sarcomas, but the impact of sarcopenia on OS and RFS still remains uncertain, highlighting the need for further research and standardized approaches. Trial Registration The protocol for this review has been registered in the International Prospective Register of Systematic Reviews (PROSPERO) database (registration unique identifying number: CRD42024578969).</p>","PeriodicalId":20817,"journal":{"name":"Radiologia Medica","volume":" ","pages":""},"PeriodicalIF":9.7,"publicationDate":"2025-06-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144209315","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}