Radiologia Medica最新文献

Enhancing the diagnostic accuracy of core needle biopsy in patients with lymphoproliferative disorders by an optimized protocol.

IF 9.7 1区医学

Radiologia Medica Pub Date : 2025-04-01 DOI: 10.1007/s11547-025-01976-2

Silvia Ferrari, Alessandra Weber, Paolo Marra, Paola Tebaldi, Chiara Pavoni, Anna Maria Barbui, Giuseppe Gritti, Ludovico Dulcetta, Francesco Saverio Carbone, Riccardo Muglia, Paola Anna Erba, Andrea Gianatti, Alessandro Rambaldi, Sandro Sironi

{"title":"Enhancing the diagnostic accuracy of core needle biopsy in patients with lymphoproliferative disorders by an optimized protocol.","authors":"Silvia Ferrari, Alessandra Weber, Paolo Marra, Paola Tebaldi, Chiara Pavoni, Anna Maria Barbui, Giuseppe Gritti, Ludovico Dulcetta, Francesco Saverio Carbone, Riccardo Muglia, Paola Anna Erba, Andrea Gianatti, Alessandro Rambaldi, Sandro Sironi","doi":"10.1007/s11547-025-01976-2","DOIUrl":"https://doi.org/10.1007/s11547-025-01976-2","url":null,"abstract":"Purpose: Surgical excision biopsy of lymph nodes stands as the gold standard for histological characterization of lymphoproliferative disorders (LD). However, contemporary clinical practice increasingly leans toward core needle biopsy (CNB). This study seeks to explore the factors influencing the diagnostic yield of CNB in LD.Material and methods: This unicentric retrospective study presents data from patients referred for suspicion of new or relapsing LD. All patients underwent image-guided CNB of the target lesion based on PET/CT findings. The primary endpoint was the diagnostic outcome, comparing the ability to achieve a definitive diagnosis according to international guidelines with CNB versus the necessity for subsequent excisional biopsy.Results: We enrolled 478 consecutive patients undergoing CNB, categorized into two cohorts. Cohort A comprised patients who underwent CNB using 18-20G full-core Menghini needles, with a median macroscopic fragment dimension of 1 cm. Cohort B included patients who underwent CNB with 16-18G semiautomatic guillotine needles, with a median macroscopic fragment dimension of 1.5 cm. In cohort A, the rates of diagnostic and non-diagnostic (or non-sufficiently detailed) CNBs were 95 (73%) versus 35 (27%), respectively. In cohort B, these rates were 299 (86%) versus 49 (14%).Conclusion: The type and size of the needle used for CNB, as well as the histologic variant of LD, emerged as factors influencing diagnostic yield and accuracy. Given the swiftness of CNB compared to surgical excision, optimizing this technique could streamline the diagnostic and therapeutic workflow for patients with suspected LD.","PeriodicalId":20817,"journal":{"name":"Radiologia Medica","volume":" ","pages":""},"PeriodicalIF":9.7,"publicationDate":"2025-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143754180","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}

引用次数: 0

Opportunistic prognostication by computerized tomography (CT) in the emergency department: analysis on 1920 patients and creation of a simple and fast scoring system.

IF 9.7 1区医学

Radiologia Medica Pub Date : 2025-04-01 DOI: 10.1007/s11547-025-01986-0

Alberto Stefano Tagliafico, Stefano Benenati, Italo Porto, Carlo Martinoli, Pietro Ameri

{"title":"Opportunistic prognostication by computerized tomography (CT) in the emergency department: analysis on 1920 patients and creation of a simple and fast scoring system.","authors":"Alberto Stefano Tagliafico, Stefano Benenati, Italo Porto, Carlo Martinoli, Pietro Ameri","doi":"10.1007/s11547-025-01986-0","DOIUrl":"https://doi.org/10.1007/s11547-025-01986-0","url":null,"abstract":"Purpose: To use simple CT measurements of musculoskeletal and cardiovascular systems to create a CT-based score to predict mortality in patients admitted to the Emergency Department (ED).Methods: The study received IRB approval. Non-contrast abdominal CT of > 18 year old patients admitted to the ER between January 2019 and January 2020 were evaluated by a team of twelve radiologists to calculate: (1) diameter of the infrarenal aorta in millimeter; (2) cross sectional area and composition (Hounsfield units) of the psoas muscle at the third lumbar vertebra (LV); (3) bone density, as quantified at the first lumbar vertebra (LV); (4) presence or absence of dilated abdominal aorta. Thirty-day all-cause mortality (ACM) was determined through hospital and electronic records.Results: N = 1920 unique patients were evaluated. The mean age was 65 ± 19 years and 46% were female. Death occurred in 7.9% of patients by 30 days from admission. The derivation dataset comprised 1462 patients. At multivariable analysis, age (OR 1.02, 95% CI: 1.007-1.04, p = 0.005), psoas cross sectional area (OR 0.99, 95% CI: 0.997-0.999, p < 0.001) and density (OR 0.96, 95% CI: 0.95-0.98, p < 0.001), and dilated infrarenal aorta (OR 1.85, 95% CI: 1-3.28, p = 0.04) were predictors of the outcome. We accordingly derived a 4-item risk score. In the derivation dataset, the score yielded moderate-high discrimination, with an AUC of 0.73 and excellent diagnostic agreement. In the validation dataset (N = 458), discrimination was high (AUC = 0.83).Conclusion: Simple measurements gathered during a standard CT may allow determining the risk of mortality in the heterogeneous patient population admitted to the ED in a cost- and time-effective manner.","PeriodicalId":20817,"journal":{"name":"Radiologia Medica","volume":" ","pages":""},"PeriodicalIF":9.7,"publicationDate":"2025-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143754235","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}

引用次数: 0

A comprehensive study on the radiomic score derived from perineural invasion in gastric cancer and its correlation with the overall survival of patients.

IF 9.7 1区医学

Radiologia Medica Pub Date : 2025-04-01 DOI: 10.1007/s11547-025-01993-1

Yueling Wang, Xuhui Fan, Zai Luo, Qingguo Wang, Yuan Fang, Chao Han, Zhengjun Qiu, Han Wang, Chen Huang

{"title":"A comprehensive study on the radiomic score derived from perineural invasion in gastric cancer and its correlation with the overall survival of patients.","authors":"Yueling Wang, Xuhui Fan, Zai Luo, Qingguo Wang, Yuan Fang, Chao Han, Zhengjun Qiu, Han Wang, Chen Huang","doi":"10.1007/s11547-025-01993-1","DOIUrl":"https://doi.org/10.1007/s11547-025-01993-1","url":null,"abstract":"Background: Perineural invasion (PNI) is closely related to the prognosis of gastric cancer (GC) patients. However, a noninvasive tool for accurately and reliably predicting the PNI is lacking.Methods: The clinical and imaging data of 278 patients from institution I and 39 patients from institution II were retrospectively analyzed. Radiomic features were extracted from the intratumoral and peritumoral regions. Seven independent machine learning (ML) algorithms are used to develop the models. Kaplan-Meier survival analysis and Cox proportional hazards analysis were carried out to compare 3-year and 5-year overall survival (OS) differences among various subgroups based on PNI and radiomic scores.Results: T stage and lymphovascular invasion (LVI) were significantly correlated with the PNI (P < 0.01). The OS of patients with different PNI status was significantly different (P < 0.05). Gradient boosting tree is the best ML algorithm. The area-under-the-curve (AUC) values of the optimal radiomics model in the internal test set and external test set were 0.901 and 0.886, respectively. After the introduction of clinical variables T stage and LVI, the performance of the model further improved in predicting the PNI of GC patients, with the AUC of 0.904 in the internal test set and 0.886 in the external test set. The difference in 3-year OS (P = 0.005) and 5-year OS (P = 0.015) among patients with varying radiomic scores was statistically significant.Conclusion: Radiomics combined with intratumoral and peritumoral features is feasible for evaluating the PNI of GC patients. The prognosis of patients with different radiomic scores was statistically significant.","PeriodicalId":20817,"journal":{"name":"Radiologia Medica","volume":" ","pages":""},"PeriodicalIF":9.7,"publicationDate":"2025-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143754172","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}

引用次数: 0

Toward standardized bowel wall iodine concentration measurement in spectral CT.

IF 9.7 1区医学

Radiologia Medica Pub Date : 2025-04-01 DOI: 10.1007/s11547-025-01997-x

Tommaso D'Angelo, Giuseppe M Bucolo, Christian Booz

引用次数: 0

New insights into imaging of pulmonary metastases from extra-thoracic neoplasms.

IF 9.7 1区医学

Radiologia Medica Pub Date : 2025-04-01 DOI: 10.1007/s11547-025-02008-9

Giuseppe Cicchetti, Riccardo Marano, Cecilia Strappa, Silvia Amodeo, Alessandro Grimaldi, Ludovica Iaccarino, Francesco Scrocca, Leonardo Nardini, Annachiara Ceccherini, Annemilia Del Ciello, Alessandra Farchione, Luigi Natale, Anna Rita Larici

{"title":"New insights into imaging of pulmonary metastases from extra-thoracic neoplasms.","authors":"Giuseppe Cicchetti, Riccardo Marano, Cecilia Strappa, Silvia Amodeo, Alessandro Grimaldi, Ludovica Iaccarino, Francesco Scrocca, Leonardo Nardini, Annachiara Ceccherini, Annemilia Del Ciello, Alessandra Farchione, Luigi Natale, Anna Rita Larici","doi":"10.1007/s11547-025-02008-9","DOIUrl":"https://doi.org/10.1007/s11547-025-02008-9","url":null,"abstract":"The lung is one of the most common sites of metastases from extra-thoracic neoplasms. Lung metastases can show heterogeneous imaging appearance, thus mimicking a wide range of lung diseases, from benign lesions to primary lung cancer. The proper interpretation of pulmonary findings is crucial for prognostic assessment and treatment planning, even to avoid unnecessary procedures and patient anxiety. For this purpose, computed tomography (CT) is one of the most used imaging modalities. In the last decades, cancer patients' population has steadily increased and, due to the widespread application of CT for staging and surveillance, the detection of pulmonary nodules has raised, making their characterization and management an urgent and mostly unsolved problem for both radiologists and clinicians. This review will highlight the pathways of dissemination of extra-thoracic tumours to the lungs and the heterogeneous CT imaging appearance of pulmonary metastases, providing useful clues to properly address the diagnosis. Furthermore, we will deal with the promising applications of radiomics in this field. Finally, a focus on the hot-topic of pulmonary nodule management in patients with extra-thoracic neoplasms (ETNs) will be discussed.","PeriodicalId":20817,"journal":{"name":"Radiologia Medica","volume":" ","pages":""},"PeriodicalIF":9.7,"publicationDate":"2025-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143754212","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}

引用次数: 0

Integrative deep learning and radiomics analysis for ovarian tumor classification and diagnosis: a multicenter large-sample comparative study.

IF 9.7 1区医学

Radiologia Medica Pub Date : 2025-04-01 DOI: 10.1007/s11547-025-02006-x

Yi Zhou, Yayang Duan, Qiwei Zhu, Siyao Li, Xiaoling Liu, Ting Cheng, Dongliang Cheng, Yuanyin Shi, Jingshu Zhang, Jinyan Yang, Yanyan Zheng, Chuanfen Gao, Junli Wang, Yunxia Cao, Chaoxue Zhang

{"title":"Integrative deep learning and radiomics analysis for ovarian tumor classification and diagnosis: a multicenter large-sample comparative study.","authors":"Yi Zhou, Yayang Duan, Qiwei Zhu, Siyao Li, Xiaoling Liu, Ting Cheng, Dongliang Cheng, Yuanyin Shi, Jingshu Zhang, Jinyan Yang, Yanyan Zheng, Chuanfen Gao, Junli Wang, Yunxia Cao, Chaoxue Zhang","doi":"10.1007/s11547-025-02006-x","DOIUrl":"https://doi.org/10.1007/s11547-025-02006-x","url":null,"abstract":"Purpose: This study aims to evaluate the effectiveness of combining transvaginal ultrasound (US)-based radiomics and deep learning model for the accurate differentiation between benign and malignant ovarian tumors in large-scale studies.Materials and methods: A multicenter retrospective study collected grayscale and color US images of ovarian tumors. Patients were divided into training, internal, and external validation groups. Models including a convolutional neural networks (CNN), optimal radiomics, and a combined model were constructed and evaluated for predictive performance using area under curve (AUC), sensitivity, and specificity. The DeLong test compared model AUCs with O-RADS and expert assessments.Results: 3193 images from 2078 patients were analyzed. The CNN achieved AUCs of 0.970 (internal) and 0.959 (external), respectively. Optimal radiomic model achieved AUCs of 0.949 (internal) and 0.954 (external), respectively. The combined CNN-radiomics model attained the highest AUC of 0.977 (internal) and 0.972 (external), respectively, outperforming individual models, O-RADS, and expert methods (p < 0.05).Conclusions: The combined CNN-radiomics model using transvaginal US images provides more accurate and reliable ovarian tumor diagnosis, enhancing malignancy prediction and offering clinicians a more precise diagnostic tool.","PeriodicalId":20817,"journal":{"name":"Radiologia Medica","volume":" ","pages":""},"PeriodicalIF":9.7,"publicationDate":"2025-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143754199","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}

引用次数: 0

Interrater reliability of MRI Neck Imaging Reporting and Data System (NI-RADS) in the follow-up of nasopharyngeal carcinoma after radiation therapy.

IF 9.7 1区医学

Radiologia Medica Pub Date : 2025-04-01 DOI: 10.1007/s11547-025-01982-4

Andrea Falzone, Marco Parillo, Marinella Neri, Alessandro Marinetti, Matteo Zanini, Francesco Sella, Carlo Cosimo Quattrocchi

{"title":"Interrater reliability of MRI Neck Imaging Reporting and Data System (NI-RADS) in the follow-up of nasopharyngeal carcinoma after radiation therapy.","authors":"Andrea Falzone, Marco Parillo, Marinella Neri, Alessandro Marinetti, Matteo Zanini, Francesco Sella, Carlo Cosimo Quattrocchi","doi":"10.1007/s11547-025-01982-4","DOIUrl":"https://doi.org/10.1007/s11547-025-01982-4","url":null,"abstract":"Purpose: Evidence supporting the reliability of magnetic resonance imaging (MRI) Neck Imaging Reporting and Data System (NI-RADS) is currently limited. This study aims to evaluate the interrater agreement of MRI NI-RADS among radiologists with varying levels of expertise in nasopharyngeal carcinoma (NPC) patients.Material and methods: We designed an observational retrospective study to identify follow-up MRIs in patients who had undergone radiation therapy. Five radiologists (2 head and neck experts, 1 general radiologist, and 2 residents in radiology) scored each MRI using NI-RADS. Kappa (κ) and percentage of agreement (POA) were calculated for the ultimate score and for each individual feature of the NI-RADS (primary tumor size, signal on T2-weighted images, contrast enhancement, diffusion restriction, and lymph node size). Agreement was analyzed also separately for the first follow-up MRI and subsequent scans.Results: Thirty patients were included (a total of 97 MRIs per rater). Interreader agreement between all readers was moderate for NI-RADS (κ = 0.41; POA = 81%). The first follow-up showed a low reliability between the head and neck expert radiologist and the two radiology residents for both primary tumor contrast enhancement and size assessment (κ = 0.02; POA = 31% and κ = 0.17; POA = 38%, respectively), while there was a high level of agreement in the analysis of diffusion-weighted imaging (DWI) (κ = 0.79; POA = 96%).Conclusion: MRI NI-RADS has a moderate interrater agreement in NPC patients after radiation therapy. Educational effort should focus on the assessment and interpretation of primary tumor contrast enhancement and size in the first examination performed after treatment, by also considering information derived from DWI.","PeriodicalId":20817,"journal":{"name":"Radiologia Medica","volume":" ","pages":""},"PeriodicalIF":9.7,"publicationDate":"2025-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143754215","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}

引用次数: 0

Evaluation of contrast-enhanced mammography (CEM) in the preoperative staging of breast cancer: large-scale single center experience, update to 1005 cases.

IF 9.7 1区医学

Radiologia Medica Pub Date : 2025-03-28 DOI: 10.1007/s11547-025-02009-8

Giulia Bicchierai, Giuliano Migliaro, Francesca Pugliese, Francesco Amato, Diego De Benedetto, Ermanno Vanzi, Federica Di Naro, Cecilia Boeri, Chiara Bellini, Sofia Vidali, Kassandra Toncelli, Simonetta Bianchi, Lorenzo Orzalesi, Vittorio Miele, Jacopo Nori

{"title":"Evaluation of contrast-enhanced mammography (CEM) in the preoperative staging of breast cancer: large-scale single center experience, update to 1005 cases.","authors":"Giulia Bicchierai, Giuliano Migliaro, Francesca Pugliese, Francesco Amato, Diego De Benedetto, Ermanno Vanzi, Federica Di Naro, Cecilia Boeri, Chiara Bellini, Sofia Vidali, Kassandra Toncelli, Simonetta Bianchi, Lorenzo Orzalesi, Vittorio Miele, Jacopo Nori","doi":"10.1007/s11547-025-02009-8","DOIUrl":"https://doi.org/10.1007/s11547-025-02009-8","url":null,"abstract":"Purpose: The purpose of this study was to assess the diagnostic performance of CEM in the preoperative staging of breast cancer in a large cohort of patients.Materials and methods: A retrospective review of preoperative staging CEM exams was conducted at our centre between June 2016 and June 2021. We evaluated cases where CEM influenced the type of surgery, necessitated additional biopsies or imaging, and identified additional lesions. The sensitivity, specificity, positive and negative predictive values (PPV and NPV), and accuracy of CEM for the entire sample and each subgroup setting were calculated. A receiver operating characteristic (ROC) curve and multivariate analysis were performed.Results: 991 women, mean age 61.3 years old [35-93], with 1005 malignant lesions were included. CEM led to additional imaging in 36.7% (364/991) women and to additional biopsies in 18.5% (183/991) women. CEM altered the initial surgical plan based on conventional imaging in 226 out of 991 patients (22.8%). CEM had a sensitivity in the whole population of 91.5% (204/223), specificity of 96.8% (757/782), PPV of 89.1% (204/229), NPV of 97.5% (757/776) and an accuracy of 95.6% (961/1005); the AUC of the ROC curve was 0.941. We found CEM better performed in patients with a low BPE level compared with a high BPE level (ρ = 0.028861). We see that the presence of additional lesions at CEM was the only significant predictor in the model.Conclusion: This study reaffirms the high diagnostic accuracy of CEM for preoperative breast cancer staging in a large patient cohort.","PeriodicalId":20817,"journal":{"name":"Radiologia Medica","volume":" ","pages":""},"PeriodicalIF":9.7,"publicationDate":"2025-03-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143736189","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}

引用次数: 0

Imaging of musculoskeletal injury: timing estimation and medico-legal issues. 肌肉骨骼损伤的成像：时间估计和医学法律问题。

IF 9.7 1区医学

Radiologia Medica Pub Date : 2025-03-28 DOI: 10.1007/s11547-025-01990-4

Giuseppe Davide Albano, Antonina Argo, Stefania Zerbo, Carlotta Scavone, Francesco Vitale, Carmelo Messina, Salvatore Gitto, Silvia Albano, Mauro Midiri, Paolo Vitali, Francesca Serpi, Giuseppe Lo Re, Massimo Galia, Cristina Cattaneo, Luca Maria Sconfienza, Domenico Albano

{"title":"Imaging of musculoskeletal injury: timing estimation and medico-legal issues.","authors":"Giuseppe Davide Albano, Antonina Argo, Stefania Zerbo, Carlotta Scavone, Francesco Vitale, Carmelo Messina, Salvatore Gitto, Silvia Albano, Mauro Midiri, Paolo Vitali, Francesca Serpi, Giuseppe Lo Re, Massimo Galia, Cristina Cattaneo, Luca Maria Sconfienza, Domenico Albano","doi":"10.1007/s11547-025-01990-4","DOIUrl":"https://doi.org/10.1007/s11547-025-01990-4","url":null,"abstract":"Musculoskeletal imaging plays a pivotal role in the evaluation of trauma, with applications spanning medical, forensic, and insurance contexts. Precisely dating musculoskeletal injuries is vital for reconstructing the timeline of events leading to trauma and verifying their accuracy. In forensic medicine, radiologists are frequently called upon by law enforcement and insurance companies to estimate the age of such injuries. This review aims to provide an overview of musculoskeletal imaging findings that can be used in medico-legal issues related to trauma to reach a comprehensive understanding of the causal relationship between the traumatic event and the clinical findings, with a particular focus on assessing causality, timing estimation and post-traumatic injury and impairment. Imaging plays a pivotal role in the precise and comprehensive evaluation of musculoskeletal traumatic injuries, with applications extending from immediate clinical care to legal and insurance considerations. Through various imaging modalities, it is possible to estimate the time elapsed since the injury and assess the impact of any pre-existing conditions. Effective collaboration between the forensic physician and the radiologist is essential to accurately determine the causal link between the injurious event and the resulting damage. This interdisciplinary approach ensures appropriate compensation and addresses the complex forensic aspects involved.","PeriodicalId":20817,"journal":{"name":"Radiologia Medica","volume":" ","pages":""},"PeriodicalIF":9.7,"publicationDate":"2025-03-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143736191","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}

引用次数: 0

Current applications and future perspectives of extended reality in radiology. 扩展现实技术在放射学中的当前应用和未来展望。

IF 9.7 1区医学

Radiologia Medica Pub Date : 2025-03-28 DOI: 10.1007/s11547-025-02001-2

Mario Tortora, Andre Luppi, Francesco Pacchiano, Mariagrazia Marisei, Francesca Grassi, Heron Werner, Felipe Campos Kitamura, Fabio Tortora, Ferdinando Caranci, Suely Fazio Ferraciolli

{"title":"Current applications and future perspectives of extended reality in radiology.","authors":"Mario Tortora, Andre Luppi, Francesco Pacchiano, Mariagrazia Marisei, Francesca Grassi, Heron Werner, Felipe Campos Kitamura, Fabio Tortora, Ferdinando Caranci, Suely Fazio Ferraciolli","doi":"10.1007/s11547-025-02001-2","DOIUrl":"https://doi.org/10.1007/s11547-025-02001-2","url":null,"abstract":"Extended reality (XR) technologies, including virtual reality (VR), augmented reality (AR), and mixed reality (MR), hold transformative potential for radiology. This review examines the current applications, benefits, limitations, and future prospects of XR in radiology, with a focus on education, diagnostics, interventional procedures, and patient interaction. A comprehensive literature search of PubMed, Scopus, and Web of Science databases identified relevant publications from 1992 to 2024. Key studies were selected for detailed discussion. XR technologies enhance radiology education by offering immersive learning experiences that improve the proficiency and confidence of professionals. In diagnostics, XR improves the accuracy and efficiency of ultrasound and CT imaging and aids in precise patient positioning. For interventional radiology, XR provides valuable tools for training and real-time procedural planning, leading to better patient outcomes. Additionally, XR improves patient-doctor interactions, reducing anxiety and enhancing the consent process. Despite challenges such as high costs, technical limitations, and the need for extensive clinical validation, the potential benefits of XR underscore its value as a significant tool in radiology. Addressing these challenges will be essential for the widespread adoption and integration of XR in radiology, ensuring its potential benefits are fully realized. This review highlights the transformative impact of XR technologies on radiology, emphasizing the need for further research and development to harness their full capabilities and improve patient care.","PeriodicalId":20817,"journal":{"name":"Radiologia Medica","volume":" ","pages":""},"PeriodicalIF":9.7,"publicationDate":"2025-03-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143736187","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}

引用次数: 0