Radiologia Medica最新文献

{"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":"https://doi.org/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}

{"title":"Evaluating the reproducibility of AAST-OIS CT scoring for splenic injuries: the need for standardization.","authors":"Skander Sammoud, Sophie Bastide, Julien Ghelfi, Catherine Arvieux, Valérie Monnin-Bares, Jean-Paul Beregi, Fatah Tidadini, Julien Frandon","doi":"10.1007/s11547-025-02021-y","DOIUrl":"https://doi.org/10.1007/s11547-025-02021-y","url":null,"abstract":"<p><strong>Background: </strong>The spleen is frequently injured in blunt abdominal trauma, and proper management depends on accurate CT assessment using the AAST-OIS scoring system. However, the reproducibility of CT scoring in trauma patients remains uncertain.</p><p><strong>Purpose: </strong>To assess the reproducibility of AAST-OIS scoring for high-grade splenic injuries (grades 3, 4, and 5) without vascular anomalies on initial CT scans and to evaluate the clinical impact of misclassification, particularly in relation to hemorrhagic complications.</p><p><strong>Methods: </strong>This study is an ancillary analysis of the SPLASH-randomized clinical trial, which involved 6 Level 1 trauma centers in France. Initial CT scans were scored by the trauma center's radiology team and then independently reviewed by two expert radiologists. Interobserver agreement as assessed between the trauma center radiologists and the expert reviewers, as well as between the two independent experts. The study also examined whether underestimation of injury severity influenced early clinical outcomes.</p><p><strong>Results: </strong>The agreement between trauma center radiologists and expert reviewers was moderate, with kappa coefficients of 0.493 using linear weighting and 0.511 using quadratic weighting, whereas inter-expert agreement was excellent (kappa: 0.905 linear, 0.917 quadratic). The primary source of discordance was the underestimation of parenchymal devascularization, which frequently led to misclassification of grade 4 injuries as grade 3. hile overall complications on Day 5 did not significantly differ between correctly classified and misclassified patients (p = 0.0593), patients whose injuries were underestimated (false negatives) had a threefold higher risk of hemorrhagic complications compared to the rest of the cohort (p = 0.0351).</p><p><strong>Conclusion: </strong>This study highlights the moderate reproducibility of AAST-OIS scoring in emergency trauma settings, emphasizing the need for standardized evaluation protocols to improve diagnostic consistency. Given the higher risk of hemorrhagic complications in underestimated cases, increased awareness of parenchymal devascularization and improved radiological training are essential to optimizing patient outcomes. The integration of AI-based decision-support tools and structured reporting templates may enhance real-time injury classification and reduce observer variability.</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":"144209314","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":"ADC measurement in whole-body MRI for multiple myeloma: a three b-values vs. two b-values DWI comparison.","authors":"Marta Zerunian, Benedetta Masci, Dominga Pugliese, Stefano Nardacci, Michela Polici, Francesco Pucciarelli, Domenico De Santis, Damiano Caruso, Giacinto La Verde, Andrea Laghi","doi":"10.1007/s11547-025-02026-7","DOIUrl":"https://doi.org/10.1007/s11547-025-02026-7","url":null,"abstract":"<p><strong>Purpose: </strong>To compare apparent diffusion coefficient (ADC) values in whole-body MRI (WB-MRI) reconstructed from diffusion-weighted imaging (DWI) with three b-values (50-500-1000 s/mm²) compared with two b-values (50-1000 s/mm²).</p><p><strong>Materials and methods: </strong>Patients with multiple myeloma who underwent 1.5 T WB-MRI were retrospectively included. Exclusion criteria were severe motion artifacts. Examinations included axial DWI with three b-values (50-500-1000 s/mm²); ADC maps were reconstructed with both three values of b(ADC3b) and two values of b(ADC2b) excluding b500 s/mm². According to MY-RADS guideline, bone lesion with ADC values 700-1400 µm²/sec was considered malignant and regions of interests (ROIs) were placed in bone lesions and healthy bone marrow. Both malignant lesions and healthy bone ADC3b were compared with ADC2b, considering as significant p < 0.05. In case of discordant ROIs on the two ADC maps for malignity/benignity, expert radiologists examined all the WB-MRI sequences to assign a malignant/benign qualitative assessment.</p><p><strong>Results: </strong>Fifty-five patients (25 females, 29-83 yo) were retrospectively included; 305 bone lesions and 303 healthy bone segments were assessed. Objective analysis showed different ADC values between bone lesions' in ADC3b and ADC2b (965.3 ± 216.7 µm²/sec vs 937.2 ± 218.8 µm²/sec, p < 0.0001) and in healthy bone marrow ROIs (588 ± 271.7 vs 573.1 ± 573.1 ± 271.2, p < 0.0001). Despite significant differences, almost all the analyzed ROIs lay in the same range of ADC for bone lesions. 10/305 bone lesions fell into the range of malignity for ADC3b while showing lower values < 700 µm²/sec for ADC2b (ADC3b 715.82 ± 190.9 µm²/sec vs. ADC2b 687.72 ± 185.2 µm²/sec); focal bone lesion with discordant values was then confirmed as lesions, in accordance with ADC3b, by a panel of experts that blind-reviewed the whole sequences of the examinations.</p><p><strong>Conclusion: </strong>ADC2b is comparable with ADC3b except for borderline values (650-750 µm²/sec).</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":"144209313","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 iodinated contrast medium on bone mineral density (BMD) quantification in computed tomography: a monocentric retrospective study evaluating phases, sex and age differences.","authors":"Philip Senti, Francesco Magoga, Oriana D'Ecclesiis, Andrea Cozzi, Filippo Del Grande, Rolf Wyttenbach, Stefania Rizzo","doi":"10.1007/s11547-025-02030-x","DOIUrl":"https://doi.org/10.1007/s11547-025-02030-x","url":null,"abstract":"<p><strong>Purpose: </strong>The primary purpose of this study was to assess the impact of iodinated contrast medium on bone mineral density (BMD) measurement in CT scans. The secondary purpose was to evaluate the impact of contrast medium on different acquisition phases, stratified by sex and age.</p><p><strong>Material and methods: </strong>CT examinations acquired in the emergency room between January 2019 and September 2021, before and after contrast medium administration, were included. On axial images, a round region of interest was traced on the first lumbar vertebra and the Hounsfield units (HU) values were recorded. Statistical analysis compared BMD differences across different acquisition phases. Stratified analyses by sex and age were also performed. Significance was set at p < 0.05.</p><p><strong>Results: </strong>A total of 295 CT acquisitions from 100 patients (52 males; 48 females) were included. There was a significant difference in BMD among native, arterial and portal venous phases (p < 0.001). Specifically, BMD in arterial and venous phases differed significantly from the native phase (p = 0.007 and p < 0.001, respectively). Males showed a BMD higher of 19.1 points compared to females (p = 0.0007); younger people showed a higher BMD compared to older people (p < 0.001). Overall, significant differences in density emerged between phases in all stratified analyses.</p><p><strong>Conclusion: </strong>Unenhanced and enhanced CT shows significant differences in BMD quantification, particularly when comparing the venous and native phases. These differences were consistent across analyses performed according to sex and age.</p>","PeriodicalId":20817,"journal":{"name":"Radiologia Medica","volume":" ","pages":""},"PeriodicalIF":9.7,"publicationDate":"2025-06-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144199867","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":"Effect of slice thickness on quantitative analysis of interstitial lung disease: a retrospective volumetric chest CT study.","authors":"Marijan Pušeljić, Borut Mohorko, Tadej Počivavšek, Florentine Moazedi-Fürst, Johannes Schmid, Michael Fuchsjäger, Emina Talakić","doi":"10.1007/s11547-025-02023-w","DOIUrl":"https://doi.org/10.1007/s11547-025-02023-w","url":null,"abstract":"<p><strong>Introduction: </strong>High-resolution computed tomography (HRCT) is essential for evaluating interstitial lung disease (ILD). The effect of slice thickness on threshold-based quantification of individual ILD components remains underexplored. This study investigates the effect of slice thickness on ILD quantification using Lung CT Analyzer.</p><p><strong>Methods: </strong>Retrospective analysis of 53 ILD patients (mean age 64.3 ± 14.1 years) who underwent chest CT scans with HRCT (slice thickness ≤ 1.25 mm) and conventional CT (CCT, ≥ 2.5 mm) reconstructions. Quantitative lung volumes, functional parenchyma, emphysema, ground-glass opacity (GGO), consolidation and affected parenchyma were assessed. The effects of contrast media (CM) application and ILD pattern was assessed separately.</p><p><strong>Results: </strong>Emphysema volume was significantly higher in HRCT compared to CCT for the whole lung (766.9 ± 568.3 mL vs. 482.6 ± 454.4 mL, p < 0.001), the right lung (431.4 ± 314.6 mL vs. 270.2 ± 251.3 mL, p < 0.001), and the left lung (337.3 ± 259.9 mL vs. 228.0 ± 221.5 mL, p < 0.001). Consolidation volumes also differed significantly between HRCT and CCT for the whole lung (271.6 ± 128.4 mL vs. 252.0 ± 126.3 mL, p < 0.001), with similar findings for the right and left lung. Functional volume was underestimated in CCT reconstructions. No significant differences were observed for GGO volumes or overall affected parenchyma. CM application and ILD pattern had no significant interaction on the measurements.</p><p><strong>Conclusion: </strong>Slice thickness significantly affects the quantification of functional parenchyma, emphysema and consolidation, whereas GGO and the overall ILD extent remain unaffected.</p>","PeriodicalId":20817,"journal":{"name":"Radiologia Medica","volume":" ","pages":""},"PeriodicalIF":9.7,"publicationDate":"2025-05-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144151271","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":"Virtual biopsy through CT imaging: can radiomics differentiate between subtypes of non-small cell lung cancer?","authors":"Federica Palmeri, Marta Zerunian, Michela Polici, Stefano Nardacci, Chiara De Dominicis, Bianca Allegra, Andrea Monterubbiano, Massimiliano Mancini, Riccardo Ferrari, Pasquale Paolantonio, Domenico De Santis, Andrea Laghi, Damiano Caruso","doi":"10.1007/s11547-025-02022-x","DOIUrl":"https://doi.org/10.1007/s11547-025-02022-x","url":null,"abstract":"<p><strong>Objective: </strong>This study evaluated the performance of CT radiomics in distinguishing between lung adenocarcinoma (ADC) and squamous cell carcinoma (SCC) at baseline imaging, exploring its potential as a noninvasive virtual biopsy.</p><p><strong>Materials and methods: </strong>A retrospective analysis was conducted, enrolling 330 patients between September 2015 and January 2023. Inclusion criteria were histologically proven ADC or SCC and baseline contrast-enhanced chest CT. Exclusion criteria included significant motion artifacts and nodules < 6 mm. Radiological features, including lung lobe affected, peripheral/central location, presence of emphysema, and T/N radiological stage, were assessed for each patient. Volumetric segmentation of lung cancers was performed on baseline CT scans at the portal-venous phase using 3DSlicer software (v5.2.2). A total of 107 radiomic features were extracted and selected using the least absolute shrinkage and selection operator (LASSO) and tenfold cross-validation. Multivariable logistic regression analysis was employed to develop three predictive models: radiological features-only, radiomics-only, and a combined model, with statistical significance set at p < 0.05. Additionally, an independent external validation cohort of 16 patients, meeting the same inclusion and exclusion criteria, was identified.</p><p><strong>Results: </strong>The final cohort comprised 200 ADC and 100 SCC patients (mean age 68 ± 10 years, 184 men). Two radiological and 21 radiomic features were selected (p < 0.001). The Radiological model achieved AUC 0.73 (95% CI 0.68-0.78, p < 0.001), 72.3% accuracy. The radiomics model achieved AUC 0.80 (95% CI 0.75-0.85, p < 0.001), 75.6% accuracy. The combined model achieved AUC 0.84 (95% CI 0.80-0.88, p < 0.001), 75.3% accuracy. External validation (n = 15) yielded AUC 0.78 (p = 0.05).</p><p><strong>Conclusion: </strong>The combined radiologic-radiomics model showed the best performance in differentiating ADC from SCC.</p>","PeriodicalId":20817,"journal":{"name":"Radiologia Medica","volume":" ","pages":""},"PeriodicalIF":9.7,"publicationDate":"2025-05-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144120726","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}