Radiologia Medica最新文献

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Microwave ablation for residual ground-glass nodule-like lung cancer after video-assisted thoracoscopic surgery: a retrospective, large-sample, multicenter study. 微波消融治疗电视胸腔镜手术后残留磨玻璃结节样肺癌:一项回顾性、大样本、多中心研究
IF 4.8 1区 医学
Radiologia Medica Pub Date : 2025-10-04 DOI: 10.1007/s11547-025-02112-w
Yanting Hu, Dongyuan Li, Min Ding, Yuan Yan, Tiehong Zhang, Xia Yang, Zhengyu Lin, Jiachang Chi, Xiaoguang Li, Xin Ye
{"title":"Microwave ablation for residual ground-glass nodule-like lung cancer after video-assisted thoracoscopic surgery: a retrospective, large-sample, multicenter study.","authors":"Yanting Hu, Dongyuan Li, Min Ding, Yuan Yan, Tiehong Zhang, Xia Yang, Zhengyu Lin, Jiachang Chi, Xiaoguang Li, Xin Ye","doi":"10.1007/s11547-025-02112-w","DOIUrl":"https://doi.org/10.1007/s11547-025-02112-w","url":null,"abstract":"<p><strong>Introduction: </strong>The management of residual or new ground-glass nodule (GGN)-like lung cancer after video-assisted thoracoscopic surgery (VATS) is challenging for patients who are not suitable for reoperation. This retrospective, large-sample, multicenter study aimed to evaluate the feasibility, safety, and preliminary efficacy of microwave ablation (MWA) for residual GGN-like lung cancer after VATS in early-stage lung cancer.</p><p><strong>Methods: </strong>A total of 216 patients with 216 residual GGN-like lung cancers who underwent 235 procedures of CT-guided percutaneous MWA after VATS (R0) of stage I-IIA lung adenocarcinoma from July 2016 to December 2023 were included in the study. The primary endpoints were technical success, complications, and pulmonary function test (PFT) variations after the MWA procedure. The secondary endpoints were local progression-free survival (LPFS) and overall survival (OS).</p><p><strong>Results: </strong>The rate of technical success was 100%. The major complications after MWA included pneumothorax (12.3%, 29/235), pleural effusion (5.5%, 13/235), pulmonary infection (2.6%, 6/235), hydropneumothorax (1.3%, 3/235), intrathoracic hemorrhage (0.4%, 1/235), and bronchopleural fistula (0.4%, 1/235). No MWA procedure-related death was observed. The PFT at 1-3 months after MWA was not significantly different from the baseline. The median follow-up duration was 58.5 months, and the 1-, 3- and 5-year OS rates were 100%, 99.1% and 96.3%, respectively. The median follow-up period after MWA was 33.8 months, and the 1-, 2- and 3-year LPFS rates were 100%, 97.7% and 96.3%, respectively.</p><p><strong>Conclusions: </strong>CT-guided percutaneous MWA is a safe, effective, and potentially curative approach for patients with residual GGN-like lung cancer after VATS.</p>","PeriodicalId":20817,"journal":{"name":"Radiologia Medica","volume":" ","pages":""},"PeriodicalIF":4.8,"publicationDate":"2025-10-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145225820","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
Mining tumor and surrounding tissue information using artificial intelligence to predict responses to EGFR-targeted therapies and immunotherapy in lung cancer: a multicenter attribution analysis. 利用人工智能挖掘肿瘤和周围组织信息,预测肺癌患者对egfr靶向治疗和免疫治疗的反应:一项多中心归因分析。
IF 4.8 1区 医学
Radiologia Medica Pub Date : 2025-10-04 DOI: 10.1007/s11547-025-02077-w
Xingping Zhang, Yuxin He, TianXiang Rao, Xingting Qiu, Qingwen Lai, Yanchun Zhang, Guijuan Zhang
{"title":"Mining tumor and surrounding tissue information using artificial intelligence to predict responses to EGFR-targeted therapies and immunotherapy in lung cancer: a multicenter attribution analysis.","authors":"Xingping Zhang, Yuxin He, TianXiang Rao, Xingting Qiu, Qingwen Lai, Yanchun Zhang, Guijuan Zhang","doi":"10.1007/s11547-025-02077-w","DOIUrl":"https://doi.org/10.1007/s11547-025-02077-w","url":null,"abstract":"<p><strong>Purpose: </strong>In cancer therapy, tumor cell heterogeneity and dynamics influence gene sequencing and immunohistochemical staining. Importantly, patients treated with epidermal growth factor receptor (EGFR)-tyrosine kinase inhibitors (TKIs) have not demonstrated a favorable long-term prognosis. Therefore, this study proposes an integrated framework for artificial intelligence (IFAI) to explore new molecular detection methods.</p><p><strong>Materials and methods: </strong>Our study integrated data from 506 non-small cell lung cancer (NSCLC) patients across three institutions in China and the USA. To fuse radiomics scores and deep network features from both tumors and surrounding tissues, we developed the IFAI with an attention-based DenseNet 121 as the backbone network. We also explored the synergy between IFAI and clinical factors (IFAI-C). Additionally, we gained further insights into the biological mechanisms of IFAI by analyzing patient RNA sequencing data.</p><p><strong>Results: </strong>In independent test data, the IFAI-C demonstrated notable predictive performance, boasting an area under the curve of 0.912 for EGFR, 0.911 for exon 19 deletion (19Del), 0.905 for exon 21 mutation (L858R), 0.911 for T790M, and 0.904 for programmed cell death protein 1 (PD-1) or its ligand 1 (PD-L1). This capability is a crucial complement to traditional methods like gene sequencing and immunohistochemistry. Our analysis revealed that radiomics scores and deep network features in IFAI were significantly associated with EGFR genotypes, drug resistance mutations, and immune molecule expression. Furthermore, these features displayed robust connections with multiple genotypes associated with drug resistance and cancer progression mechanisms.</p><p><strong>Conclusion: </strong>IFAI-C introduces a novel method with performance advantages, accompanied by biological analyses demonstrating the extraction of genotypic and immunomolecular information from both tumors and surrounding tissues. This discovery holds potential value in guiding therapeutic decisions for lung cancer.</p>","PeriodicalId":20817,"journal":{"name":"Radiologia Medica","volume":" ","pages":""},"PeriodicalIF":4.8,"publicationDate":"2025-10-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145225793","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
CCM-ITALUNG2 pilot on lung cancer screening in Italy: recruitment, integration with smoking cessation and baseline results. 意大利肺癌筛查CCM-ITALUNG2试点:招募、戒烟整合和基线结果
IF 4.8 1区 医学
Radiologia Medica Pub Date : 2025-10-04 DOI: 10.1007/s11547-025-02109-5
Giuseppe Gorini, Donella Puliti, Giulia Picozzi, Jasmine Giovannoli, Giulia Veronesi, Francesco Pistelli, Carlo Senore, Carlo Tessa, Edoardo Cavigli, Simonetta Bisanzi, Elisa Dieci, Piergiorgio Muriana, Annalisa Deliperi, Emanuela Romano, Cristiano Piccinelli, Paola Vivani, Eugenio Paci, Laura Carrozzi, Mario Mascalchi, Enrica Stancanelli, Marika Furuya, Guglielmo Bonaccorsi, Giuseppe Cavallo, Giulia Carreras, Cristina Sani, Jessica Viti, Carmen Visioli, Giovanna Masala, Paola Mantellini, Diletta Cozzi, Katia Ferrari, Amedeo Vannacci, Serena Checcacci, Olga Smorchkova, Luca Gozzi, Alessandra Bindi, Chiara Moroni, Silvia Luvarà, Maurizio Bartolucci, Ilaria Orlandi, Chiara Cruschelli, Chiara Romei, Zeno Falaschi, Valentina Bessi, Stefano Paoli, Elisabetta Casto, Giulia Marchi, Giacomo Guglielmi, Beatrice Vivaldi, Natascia Coltelli, Guido Marchi, Lucia Lupetti, Michela Zanetti, Ilaria Stellati, Maila Coltelli, Simona De Santis, Stefano Viscardi, Domenico Ghio, Paolo Fonio, Riccardo Faletti, Andrea Di Chio, Tiziana Vavalà, Roberto Albera, Silvia Novello, Paola Gollini, Sandra Anglesio, Fabio Beatrice, Pavilio Piccioni, Cristina Fanini, Guido Guidoni, Valentina Galli, Patrizia Gai, Antonella Manfredi, Anna Di Natale, Marzio Taddei, Laura Fallani, Michela Fioriti, Michele Di Francesco, Alessandro Guerrini, Niccolò Biancalani, Barbara Calistri, Lara Romagnani, Luca Puccetti, Gianluca Sassi, Marco Araldi, Pier Riccardo Rossi, Sabina Bianchi, Annalisa Cannatelli, Paolo Cataldi, Roberto Cernigliaro, Francesca D'Agostino, Cristina De Ambrogio, Francesca Di Valente, Giulia Durando, Alessandra Fracchia, Eleonora Giraudi, Patrizia Guerra, Massimo Massi, Laura Mondino, Cristina Nolli, Chiara Pugni, Enrica Zucchetti, Stefano Diciotti
{"title":"CCM-ITALUNG2 pilot on lung cancer screening in Italy: recruitment, integration with smoking cessation and baseline results.","authors":"Giuseppe Gorini, Donella Puliti, Giulia Picozzi, Jasmine Giovannoli, Giulia Veronesi, Francesco Pistelli, Carlo Senore, Carlo Tessa, Edoardo Cavigli, Simonetta Bisanzi, Elisa Dieci, Piergiorgio Muriana, Annalisa Deliperi, Emanuela Romano, Cristiano Piccinelli, Paola Vivani, Eugenio Paci, Laura Carrozzi, Mario Mascalchi, Enrica Stancanelli, Marika Furuya, Guglielmo Bonaccorsi, Giuseppe Cavallo, Giulia Carreras, Cristina Sani, Jessica Viti, Carmen Visioli, Giovanna Masala, Paola Mantellini, Diletta Cozzi, Katia Ferrari, Amedeo Vannacci, Serena Checcacci, Olga Smorchkova, Luca Gozzi, Alessandra Bindi, Chiara Moroni, Silvia Luvarà, Maurizio Bartolucci, Ilaria Orlandi, Chiara Cruschelli, Chiara Romei, Zeno Falaschi, Valentina Bessi, Stefano Paoli, Elisabetta Casto, Giulia Marchi, Giacomo Guglielmi, Beatrice Vivaldi, Natascia Coltelli, Guido Marchi, Lucia Lupetti, Michela Zanetti, Ilaria Stellati, Maila Coltelli, Simona De Santis, Stefano Viscardi, Domenico Ghio, Paolo Fonio, Riccardo Faletti, Andrea Di Chio, Tiziana Vavalà, Roberto Albera, Silvia Novello, Paola Gollini, Sandra Anglesio, Fabio Beatrice, Pavilio Piccioni, Cristina Fanini, Guido Guidoni, Valentina Galli, Patrizia Gai, Antonella Manfredi, Anna Di Natale, Marzio Taddei, Laura Fallani, Michela Fioriti, Michele Di Francesco, Alessandro Guerrini, Niccolò Biancalani, Barbara Calistri, Lara Romagnani, Luca Puccetti, Gianluca Sassi, Marco Araldi, Pier Riccardo Rossi, Sabina Bianchi, Annalisa Cannatelli, Paolo Cataldi, Roberto Cernigliaro, Francesca D'Agostino, Cristina De Ambrogio, Francesca Di Valente, Giulia Durando, Alessandra Fracchia, Eleonora Giraudi, Patrizia Guerra, Massimo Massi, Laura Mondino, Cristina Nolli, Chiara Pugni, Enrica Zucchetti, Stefano Diciotti","doi":"10.1007/s11547-025-02109-5","DOIUrl":"https://doi.org/10.1007/s11547-025-02109-5","url":null,"abstract":"<p><strong>Background: </strong>The CCM-ITALUNG2 pilot was implemented to evaluate the feasibility of an organized lung cancer (LC) screening programme in five Italian centres.</p><p><strong>Methods: </strong>The screening pathway included invitation, recruitment, referral to Smoking Cessation Services (SCSs), and use of the Lung-RADS score for low-dose CT reading. Dedicated screening operators followed up participants from recruitment through the clinical follow-up established by multidisciplinary teams. Eligibility criteria included age 55-75 years, ever-smokers with ≥ 25 pack-years; quit within the past 10 years. Baseline round results are presented.</p><p><strong>Results: </strong>From November 2022 to May 2024, 1,144 of the 1,971 invited individuals (58.0%) were recruited following different strategies including in-person invitation by general practitioners (GPs; 356 subjects, 31.9%) or other healthcare personnel (18.1%), self-presentation (36.3%), and phone invitation using GPs' patient lists (13.7%). Among current smokers, 38.5% accepted referral to SCSs. Eighteen subjects (77.8% in stage I-II) were diagnosed with LC (prevalent LC rate 1.57%). The mean time to surgery was 147 days (standard deviation 73); the false-positive rate was 1.38% (15/1,085).</p><p><strong>Conclusions: </strong>By utilizing different organizational models, the pilot was tailored to the specific characteristics of each centre. Phone invitations from GPs' patient lists, in-person invitations by GPs and other healthcare personnel, and self-presentation might enhance equity of access in comparison with self-referral only. Dedicated screening operators, the use of the Lung-RADS scoring system, and a structured clinical follow-up supported participants throughout the screening pathway. Delivering brief advice for smoking cessation during recruitment and offering SCS referral were feasible within the screening pathway.</p>","PeriodicalId":20817,"journal":{"name":"Radiologia Medica","volume":" ","pages":""},"PeriodicalIF":4.8,"publicationDate":"2025-10-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145228579","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
Low dose photon-counting digital breast tomosynthesis: comparison with a commercially available tomosynthesis unit in the detection and characterization of breast carcinomas. 低剂量光子计数数字乳腺断层合成:与市售断层合成装置在乳腺癌检测和表征中的比较。
IF 4.8 1区 医学
Radiologia Medica Pub Date : 2025-10-04 DOI: 10.1007/s11547-025-02115-7
Elena Venturini, Claudio Losio, Mariagrazia Rodighiero, Goffredo Ferrarese, Antonella Del Vecchio, Alessandro Loria, Jonas Rikard Rehn, Pietro Panizza
{"title":"Low dose photon-counting digital breast tomosynthesis: comparison with a commercially available tomosynthesis unit in the detection and characterization of breast carcinomas.","authors":"Elena Venturini, Claudio Losio, Mariagrazia Rodighiero, Goffredo Ferrarese, Antonella Del Vecchio, Alessandro Loria, Jonas Rikard Rehn, Pietro Panizza","doi":"10.1007/s11547-025-02115-7","DOIUrl":"https://doi.org/10.1007/s11547-025-02115-7","url":null,"abstract":"<p><strong>Purpose: </strong>Digital Breast Tomosynthesis (DBT) has a diagnostic accuracy higher than 2D-FFDM, with a slightly higher Average Glandular Dose (AGD). Photon-counting technology was demonstrated to reduce AGD of 2D-FFDM, while preserving a high image quality; it therefore represents an interesting solution to significantly reduce the radiation dose of DBT. Our purpose is to compare the image quality and the AGD of a photon-counting DBT prototype with a conventional DBT unit in the detection of breast carcinoma.</p><p><strong>Materials and methods: </strong>In this preliminary prospective study, 17 women with a suspicious breast finding (BI-RADS 4c/5) were enrolled. Before biopsy, they underwent bilateral 2-view DBT with a conventional unit and a photon-counting prototype. The AGD delivered by the two DBT units were compared. Three readers independently reviewed and compared the images (DBT and synthesized 2D) giving a density, BI-RADS and conspicuity score focusing on suspicious findings. All women underwent core-needle biopsy with imaging guidance and histology was used as standard reference.</p><p><strong>Results: </strong>In 15 examinations at least one suspicious finding was detectable by both systems. Two exams were falsely negative with both units due to high density and small cancer size. All suspicious findings were histologically confirmed as malignant. There was no significant difference in density and BI-RADS scores. The conspicuity of findings was scored as equal or better for photon-counting DBT in 94% observations. The mean AGD delivered by photon-counting DBT was 55% lower than the conventional DBT.</p><p><strong>Conclusion: </strong>According to these preliminary data, photon-counting DBT provides a high image quality, like a conventional DBT unit, with a drastic reduction of the AGD delivered.</p><p><strong>Trial registration number: </strong>The clinical trial \"Low Dose Tomosynthesis Compared to Traditional Tomosynthesis\" has an identifier number NCT02771444 on the ClinicalTrials.gov website. It was first registered on 11.05.2016.</p>","PeriodicalId":20817,"journal":{"name":"Radiologia Medica","volume":" ","pages":""},"PeriodicalIF":4.8,"publicationDate":"2025-10-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145225790","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
Peripheral inflammation and central sensitization associated with postoperative pain following arthroscopy surgery in rotator cuff injury. 外周炎症和中枢敏化与肩袖损伤关节镜手术后疼痛相关。
IF 4.8 1区 医学
Radiologia Medica Pub Date : 2025-10-04 DOI: 10.1007/s11547-025-02079-8
Xu Chu, Rui Zhao, Tao Wang, XuXu Chen, Hui Kang
{"title":"Peripheral inflammation and central sensitization associated with postoperative pain following arthroscopy surgery in rotator cuff injury.","authors":"Xu Chu, Rui Zhao, Tao Wang, XuXu Chen, Hui Kang","doi":"10.1007/s11547-025-02079-8","DOIUrl":"https://doi.org/10.1007/s11547-025-02079-8","url":null,"abstract":"<p><strong>Purpose: </strong>Rotator cuff injury (RCI) is a prevalent cause of shoulder disability, with emerging evidence implicating localized inflammatory cascades as key mediators of nociceptive signaling. Recent studies suggest that preoperative central sensitization induced by exposure to inflammation serves as a predictor of persistent pain following surgery at one-year follow-up. However, the underlying mechanism between peripheral inflammation, central pain processing, and postsurgical pain remains poorly characterized in RCI. Therefore, we aim to characterize pain-elicited brain responses and identify brain mediators of pain hypersensitivity in RCI patients.</p><p><strong>Materials and methods: </strong>Utilizing a case-control design, twenty-eight patients with right/bilateral RCI and twenty healthy controls underwent functional MRI during pressure noxious stimuli, with pain intensity quantified via the visual analog scale. Comprehensive analyses of preoperative resting-state fMRI, serum cytokine profiles, and postoperative neuroimaging were conducted in RCI patients.</p><p><strong>Results: </strong>We found significantly higher level of pain sensitivity and IL-6 concentrations in RCI patients compared to controls. RCI patients exhibited higher activation within the left primary somatosensory cortex (S1), which mediated the relationship between IL-6 levels and pain sensitivity. Notably, preoperative S1 amplitude of low-frequency fluctuations (ALFF) exhibited a strong positive correlation with IL-6 concentrations (r = 0.62) and served as a robust predictor of postoperative pain reduction. These findings establish left S1 hyperactivation as a neuroplastic hub integrating peripheral inflammatory signaling (IL-6 elevation) and central pain sensitization in RCI.</p><p><strong>Conclusion: </strong>The observed preoperative associations between S1 function, cytokine profiles, and postoperative pain resolution provide translational evidence for S1 as a predictive biomarker of pain chronification risk.</p>","PeriodicalId":20817,"journal":{"name":"Radiologia Medica","volume":" ","pages":""},"PeriodicalIF":4.8,"publicationDate":"2025-10-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145225524","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
CMRO2 (DSC-PW) perfusion parameter helps to distinguish between progression and pseudoprogression in patients with glioblastoma. cro2 (DSC-PW)灌注参数有助于区分胶质母细胞瘤患者的进展和假进展。
IF 4.8 1区 医学
Radiologia Medica Pub Date : 2025-10-03 DOI: 10.1007/s11547-025-02103-x
Emanuele Tommasino, François Ducray, Antoine Seyve, Thiebaud Picard, Anna Martin, Delphine Gamondes, Emilien Jupin Delevaux, Marc Hermier, Yves Berthezene, Alexandre Bani-Sadr
{"title":"CMRO<sub>2</sub> (DSC-PW) perfusion parameter helps to distinguish between progression and pseudoprogression in patients with glioblastoma.","authors":"Emanuele Tommasino, François Ducray, Antoine Seyve, Thiebaud Picard, Anna Martin, Delphine Gamondes, Emilien Jupin Delevaux, Marc Hermier, Yves Berthezene, Alexandre Bani-Sadr","doi":"10.1007/s11547-025-02103-x","DOIUrl":"https://doi.org/10.1007/s11547-025-02103-x","url":null,"abstract":"<p><strong>Objective: </strong>To evaluate the diagnostic accuracy of CMRO<sub>2</sub> (cerebral metabolic rate of oxygen) in differentiating between pseudoprogression and true tumour progression in patients with glioblastoma (GB) following chemoradiotherapy and to compare its performance with rCBV (relative cerebral blood volume).</p><p><strong>Materials and methods: </strong>This diagnostic accuracy study included two cohorts: an analysis group (32 patients, 19 progression, 13 pseudoprogression) and a validation group (52 patients, 35 progression, 17 pseudoprogression). Patients underwent MRI (magnetic resonance imaging) with DSC (dynamic susceptibility contrast) and DCE (dynamic contrast-enhanced) perfusion imaging. CMRO<sub>2</sub> and rCBV thresholds were evaluated to calculate sensitivity, specificity, and area under the curve (AUC). Inclusion criteria were GB diagnosis, standard chemoradiotherapy, and new or enlarged enhancing lesions on MRI within one year.</p><p><strong>Results: </strong>In the analysis group (mean age, 60.8 ± 8 years), CMRO<sub>2</sub> showed superior performance with an AUC of 0.89 (95% CI 0.77-0.98), sensitivity of 84.2%, and specificity of 83.3%. rCBV achieved an AUC of 0.63 (95% CI 0.42-0.88). In the validation group (mean age, 63 ± 7 years), CMRO<sub>2</sub> maintained an AUC of 0.91 (95% CI 0.82-0.98), while rCBV reached an AUC of 0.79 (95% CI 0.65-0.91). The DeLong test confirmed CMRO<sub>2</sub>'s significantly higher performance (p = 0.04).</p><p><strong>Conclusion: </strong>CMRO<sub>2</sub> demonstrates higher diagnostic performance than rCBV in distinguishing pseudoprogression from true progression in GB patients. Despite limitations, CMRO<sub>2</sub> shows promise as a non-invasive biomarker, warranting further multicentre validation.</p>","PeriodicalId":20817,"journal":{"name":"Radiologia Medica","volume":" ","pages":""},"PeriodicalIF":4.8,"publicationDate":"2025-10-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145213463","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
Thymomas under the radiomic lens: preliminary evidence of CT-radiomics signatures for histological grading and disease staging. 放射透镜下的胸腺瘤:ct放射组学特征对组织学分级和疾病分期的初步证据。
IF 4.8 1区 医学
Radiologia Medica Pub Date : 2025-10-01 DOI: 10.1007/s11547-025-02111-x
Diletta Cozzi, Bianca Lugli, Sebastiano Paolucci, Stefano Bongiolatti, Luca Voltolini, Vittorio Miele
{"title":"Thymomas under the radiomic lens: preliminary evidence of CT-radiomics signatures for histological grading and disease staging.","authors":"Diletta Cozzi, Bianca Lugli, Sebastiano Paolucci, Stefano Bongiolatti, Luca Voltolini, Vittorio Miele","doi":"10.1007/s11547-025-02111-x","DOIUrl":"https://doi.org/10.1007/s11547-025-02111-x","url":null,"abstract":"<p><p>Thymomas are the most common primary tumors of the anterior mediastinum, frequently associated with paraneoplastic syndromes like myasthenia gravis. This preliminary study investigated the correlation between radiomic features extracted from venous-phase CT images, histological grading (WHO), and disease staging (Masaoka-Koga and TNM) in patients with thymomas. A total of 37 patients were analyzed, with 107 radiomic features extracted using PyRadiomics module. Statistical analysis revealed 11 significant radiomic features distinguishing early and advanced thymomas according to Masaoka-Koga/TNM staging (p < 0.05), with shape_Sphericity, shape_Maximum3DDiameter, and firstorder_Skewness being the most predictive. For WHO classification, 7 significant features differentiated low-risk and high-risk thymomas (p < 0.05), with shape_Sphericity, firstorder-Range, and firstorder_RootMeanSquared showing the highest performance. LASSO models demonstrated high accuracy, with an AUC of 0.9 for Masaoka-Koga/TNM staging and 0.82 for WHO classification. These findings suggest that radiomic features can effectively distinguish thymoma stages and risk levels, potentially aiding in treatment planning and prognosis. By enabling noninvasive tumor characterization, radiomic features could support more personalized treatment strategies and improve decision-making in clinical practice.</p>","PeriodicalId":20817,"journal":{"name":"Radiologia Medica","volume":" ","pages":""},"PeriodicalIF":4.8,"publicationDate":"2025-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145200896","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
Association between type of skull base osteomyelitis (SBO), source, and infection spread in patients with proven SBO. 已证实的颅底骨髓炎(SBO)患者的类型、来源和感染传播之间的关系
IF 4.8 1区 医学
Radiologia Medica Pub Date : 2025-09-30 DOI: 10.1007/s11547-025-02073-0
David Timaran Montenegro, Kamand Khalaj, Elham Tavakkol, Luis Nunez, Andres Rodriguez, Salmaan Jeelani, Kayli Quinton, Roy Riascos, Jose Gavito-Higuera
{"title":"Association between type of skull base osteomyelitis (SBO), source, and infection spread in patients with proven SBO.","authors":"David Timaran Montenegro, Kamand Khalaj, Elham Tavakkol, Luis Nunez, Andres Rodriguez, Salmaan Jeelani, Kayli Quinton, Roy Riascos, Jose Gavito-Higuera","doi":"10.1007/s11547-025-02073-0","DOIUrl":"https://doi.org/10.1007/s11547-025-02073-0","url":null,"abstract":"<p><strong>Introduction: </strong>Skull base osteomyelitis (SBO) is a challenging diagnosis with a variety of nonspecific clinical manifestations and imaging findings. This study aims to determine the association between the type of SBO and the source and infection spread in patients with histopathology/culture-proven SBO.</p><p><strong>Materials and methods: </strong>A retrospective analysis of 55 patients with suspected SBO was conducted. Twenty-two patients (40%) were excluded because either histology resulted in neoplasia without associated infection (2[9%]) or imaging findings were negative for SBO. An additional nine patients were excluded due to negative cultures and nonspecific inflammatory changes on histology without clinical signs of sepsis. A total of 24 patients met inclusion criteria with either a positive culture (13[54.1%] or histopathologic inflammation with signs of infection (11[45.9%]).</p><p><strong>Results: </strong>Bacterial SBO was identified in 13 patients (54.1%) and fungal SBO in two patients (8.33%). Typical SBO (TSBO) was observed in 12 patients (50%). Twelve patients (50%) had typical SBO (TSBO), and the remaining 12 (50%) presented with central or atypical SBO (ASBO). The nasopharynx was identified as the primary source of infection in one-third of ASBO cases. In this group, the infection frequently extended to the masticator space (75%, p = 0.01) and carotid space (75%, p < 0.01), with internal carotid artery thrombosis seen in half of these patients (p = 0.06). Temporomandibular joint involvement was also observed (58.3%, p = 0.2). On MRI, peri-clival soft tissue enhancement (66%, p = 0.03) and sphenoid body bone marrow edema (50%, p = 0.08) were prominent findings in ASBO cases.</p><p><strong>Conclusion: </strong>Central or atypical SBO accounted for half of the confirmed cases in this study and was frequently associated with extensive spread to adjacent deep neck spaces and vascular complications. Characteristic MRI findings such as peri-clival soft tissue enhancement and sphenoid body marrow edema may aid early recognition. Identifying the nasopharynx as a common infection source and recognizing these imaging patterns can support earlier diagnosis and tailored treatment strategies, potentially improving patient outcomes.</p>","PeriodicalId":20817,"journal":{"name":"Radiologia Medica","volume":" ","pages":""},"PeriodicalIF":4.8,"publicationDate":"2025-09-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145200868","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
Results of an expert Delphi consensus from the Italian Society of Medical and Interventional Radiology (SIRM) and the Italian Society of Rheumatology (SIR) on standardized requesting and reporting magnetic resonance imaging in patients with suspected or known axial spondyloarthritis. 意大利医学和介入放射学会(SIRM)和意大利风湿病学会(SIR)专家德尔菲共识关于疑似或已知轴性脊柱炎患者要求和报告磁共振成像的标准化结果。
IF 4.8 1区 医学
Radiologia Medica Pub Date : 2025-09-30 DOI: 10.1007/s11547-025-02088-7
Fausto Salaffi, Marina Carotti, Fabio Martino, Emilio Filippucci, Sonia Farah, Roberta Ramonda, Andrea Doria, Roberto Caporali, Marcello Govoni, Piercarlo Sarzi-Puttini, Alberto Batticiotto, Luca Ceccarelli, Maurizio Rossini, Enrico Scarano, Luca Maria Sconfienza, Stefania Vio, Carlo Masciocchi, Alessandro Muda, Ernesto La Paglia, Massimo De Filippo, Marcello Zappia, Mauro Battista Gallazzi, Salvatore D'Angelo, Francesca Oliviero, Marco Di Carlo Di Carlo, Cristiana Barreca, Marco Canzoni, Enzo Silvestri, Alberto Aliprandi, Antonio Barile, Alessandra Splendiani, Andrea Giovagnoni, Antonio Leone, Nicoletta Gandolfo
{"title":"Results of an expert Delphi consensus from the Italian Society of Medical and Interventional Radiology (SIRM) and the Italian Society of Rheumatology (SIR) on standardized requesting and reporting magnetic resonance imaging in patients with suspected or known axial spondyloarthritis.","authors":"Fausto Salaffi, Marina Carotti, Fabio Martino, Emilio Filippucci, Sonia Farah, Roberta Ramonda, Andrea Doria, Roberto Caporali, Marcello Govoni, Piercarlo Sarzi-Puttini, Alberto Batticiotto, Luca Ceccarelli, Maurizio Rossini, Enrico Scarano, Luca Maria Sconfienza, Stefania Vio, Carlo Masciocchi, Alessandro Muda, Ernesto La Paglia, Massimo De Filippo, Marcello Zappia, Mauro Battista Gallazzi, Salvatore D'Angelo, Francesca Oliviero, Marco Di Carlo Di Carlo, Cristiana Barreca, Marco Canzoni, Enzo Silvestri, Alberto Aliprandi, Antonio Barile, Alessandra Splendiani, Andrea Giovagnoni, Antonio Leone, Nicoletta Gandolfo","doi":"10.1007/s11547-025-02088-7","DOIUrl":"https://doi.org/10.1007/s11547-025-02088-7","url":null,"abstract":"<p><strong>Objectives: </strong>To develop a practical consensus for standardizing communication between rheumatologists and radiologists regarding magnetic resonance imaging (MRI) of the sacroiliac joints and spine in the diagnosis and management of axial spondyloarthritis (axSpA).</p><p><strong>Methods: </strong>A task force comprising six rheumatologists and five musculoskeletal radiologists with expertise in axSpA imaging reviewed the Assessment of SpondyloArthritis International Society (ASAS) framework to draft initial recommendations and define project goals. A broader expert panel (21 rheumatologists, 19 radiologists) then participated in a voting process to refine and validate these recommendations. Final endorsement was sought from the steering committees of the Italian Society of Medical and Interventional Radiology (SIRM) and the Italian Society of Rheumatology (SIR) using a modified Delphi method.</p><p><strong>Results: </strong>Thirty-one recommendations were validated, organized into eight domains. Domain 1 outlines five overarching principles. Domain 2 comprises recommendations on clinical features, symptoms, and risk factors. Additional domains address MRI technical parameters, including image quality and sequencing (Domain 3), and standardized reporting criteria. For the sacroiliac joints (Domains 4 and 5), five signs of inflammation and six of structural damage are defined. For the spine (Domains 6 and 7), five inflammatory and four structural features are specified. Domain 8 provides guidance on report conclusions. The recommendations were endorsed by SIRM/SIR with 88.5% approval.</p><p><strong>Conclusion: </strong>This consensus offers structured guidance for MRI requesting and reporting in axSpA, fostering clear communication between radiologists and rheumatologists. The standardized approach aims to improve diagnostic accuracy and patient outcomes.</p>","PeriodicalId":20817,"journal":{"name":"Radiologia Medica","volume":" ","pages":""},"PeriodicalIF":4.8,"publicationDate":"2025-09-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145200944","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
Commentary to: recent topics in musculoskeletal imaging focused on clinical applications of AI: how should radiologists approach and use AI? 评论:最近肌肉骨骼成像的主题集中在人工智能的临床应用:放射科医生应该如何接近和使用人工智能?
IF 4.8 1区 医学
Radiologia Medica Pub Date : 2025-09-29 DOI: 10.1007/s11547-025-02094-9
Juan Sebastian Rodriguez Sazipa, Laura Manuela Olarte Bermúdez, Ana M Rendón-Garavito
{"title":"Commentary to: recent topics in musculoskeletal imaging focused on clinical applications of AI: how should radiologists approach and use AI?","authors":"Juan Sebastian Rodriguez Sazipa, Laura Manuela Olarte Bermúdez, Ana M Rendón-Garavito","doi":"10.1007/s11547-025-02094-9","DOIUrl":"https://doi.org/10.1007/s11547-025-02094-9","url":null,"abstract":"","PeriodicalId":20817,"journal":{"name":"Radiologia Medica","volume":" ","pages":""},"PeriodicalIF":4.8,"publicationDate":"2025-09-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145186671","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
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