{"title":"Disagreements of non-vascular findings in computed tomography of the aorta by radiology residents.","authors":"Keerati Hongsakul, Surajai Junnhu, Polathep Vichitkunakorn","doi":"10.1177/02841851251319109","DOIUrl":"10.1177/02841851251319109","url":null,"abstract":"<p><p>BackgroundAlthough non-vascular findings from computed tomography angiography (CTA) of the aorta are not the primary interpretation, the significant findings can affect the patient's treatment.PurposeTo evaluate the disagreement between radiology residents and staff regarding non-vascular findings in CTA of the aorta.Material and MethodsWe conducted a retrospective study of 419 CTA scans of the aorta between January 2014 and December 2016. The non-vascular findings from the final preliminary reports, which were interpreted by radiology residents, were recorded and compared with blind interpretations by an experienced member of the radiology staff. Disagreements were analyzed using the unweighted Kappa value.ResultsA total of 419 CTA aorta were interpreted by 38 radiology residents. The elective versus emergency CTA rate was 58% versus 42%. The emergency CTA rate related to traumatic conditions was 57.9% The thoracic system was the most common disagreement of significant non-vascular findings, with the highest disagreement rate being significant breast lesions (80.0%, Kappa = 0.33; 95% confidence interval [CI] = 0.15-0.81). Non-vascular findings detected by residents in significant and intermediated significant groups were 339/627 for elective CTAs and 241/457 for emergency CTAs. The disagreement rates for these findings were 45.9% (Kappa = 0.68; 95% CI = 0.54-0.97) in elective CTAs and 47.3% (Kappa = 0.60; 95% CI = 0.53-0.90) in emergency CTAs.ConclusionThe most disagreement of non-vascular findings in significant and intermediated significant groups was the thoracic system. The disagreement rates of non-vascular findings between radiology residents and staff were higher in emergency CTA. These results can be used to improve radiology training.</p>","PeriodicalId":7143,"journal":{"name":"Acta radiologica","volume":" ","pages":"588-596"},"PeriodicalIF":1.1,"publicationDate":"2025-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143432160","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Triple coaxial microcatheter for preoperative transcatheter arterial embolization in bone and soft tissue tumors.","authors":"Yosuke Nozawa, Ayako Fujimori, Takao Igarashi, Akito Sano, Itsuo Watanabe, Ukei Anazawa, Masashi Okamura","doi":"10.1177/02841851251319465","DOIUrl":"10.1177/02841851251319465","url":null,"abstract":"<p><p>BackgroundPreoperative transcatheter arterial embolization (P-TAE) is a procedure designed to reduce intraoperative blood loss (IBL) and support the performance of surgery for bone and soft tissue tumors (BSTT).PurposeTo develop a new P-TAE technique using a triaxial microcatheter system (TMCS) that maintains normal tissue circulation while embolizing only the feeding artery of BSTT and to investigate the safety and efficacy of P-TAE with TMCS.Material and MethodsA total of 34 cases of BSTT in the whole body (25 men, nine women; mean age = 74.85 ± 11.32 years) were included between 1 April 2014 and 30 June 2024. We evaluated technical and clinical outcomes, P-TAE techniques, complications, and patient characteristics.ResultsBone metastasis of renal cell carcinoma (n = 11) was the most frequent diagnosis. P-TAEs using TMCS were performed with technical success (97.05%) and clinical success (88.23%), demonstrating a high selectivity rate to the feeding artery of 97.14%. The mean IBL was 792.70 ± 1285.61 mL (median = 370 mL; range = 50-6935 mL). All surgeries were performed successfully after P-TAE.ConclusionP-TAE plays an important role in the presurgical operation of BSTT. The use of TMCS offers high selectivity, trackability, and crossability in the P-TAE procedure, enhancing the clinical efficacy of P-TAE.</p>","PeriodicalId":7143,"journal":{"name":"Acta radiologica","volume":" ","pages":"569-575"},"PeriodicalIF":1.1,"publicationDate":"2025-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143432163","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"The clinical value of radiomics models based on multi-parameter MRI features in evaluating the different expression status of HER2 in breast cancer.","authors":"Tingting Liu, Jialu Lin, Jiulou Zhang, Jianjuan Lou, Qigui Zou, Siqi Wang, Cong Wang, Yanni Jiang","doi":"10.1177/02841851251319110","DOIUrl":"10.1177/02841851251319110","url":null,"abstract":"<p><p>BackgroundAccurate preoperative non-invasive assessment of HER2 expression in breast cancer is crucial for personalized treatment and prognostic stratification.PurposeTo evaluate the effectiveness of radiomics models based on multi-parametric magnetic resonance imaging (MRI) in distinguishing HER2 expression status in invasive breast cancer.Material and MethodsWe conducted a retrospective analysis of baseline MRI scans and clinical data from 400 patients with breast cancer between January 2018 and December 2019. Two-dimensional regions of interest were manually segmented on the maximum tumor images obtained from turbo inversion recovery magnitude (TIRM), dynamic contrast-enhanced magnetic resonance imaging phase 2 (DCE2), dynamic contrast-enhanced magnetic resonance imaging phase 4 (DCE4), diffusion-weighted imaging (DWI), and apparent diffusion coefficient (ADC) sequences using ITK-SNAP software. Features were extracted and screened for dimensionality reduction. Logistic regression models were developed to predict HER2 expression status.ResultsIn distinguishing HER2-overexpression from non-HER2-overexpression, the DCE2 model outperformed other single-parameter models, with areas under the curve (AUCs) of 0.91 (training) and 0.88 (test). Combination models with DCE features showed significantly improved performance (<i>P</i> ≤ 0.001). The multiparameter model achieved the highest AUCs of 0.93 (training) and 0.91 (test). In distinguishing HER2-low from HER2-zero, the TIRM model performed best among single-parameter models, with AUCs of 0.80 (training) and 0.72 (test). The multiparameter model further enhanced prediction, yielding an AUC of 0.83 (test).ConclusionRadiomics models based on multi-parametric MRI features demonstrated strong clinical utility in assessing HER2 expression status in invasive breast cancer, particularly in identifying HER2-overexpression and HER2-low expression subtypes.</p>","PeriodicalId":7143,"journal":{"name":"Acta radiologica","volume":" ","pages":"597-607"},"PeriodicalIF":1.1,"publicationDate":"2025-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143536341","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Bi-parametric MRI radiomic model for prostate cancer diagnosis: value of intralesional and perilesional radiomics.","authors":"Yida Li, Xin Zhou, Xinyuan Zhang, Mengmeng Zhang, Shengjian Sun, Xue Gai, Guohua Li","doi":"10.1177/02841851251317646","DOIUrl":"10.1177/02841851251317646","url":null,"abstract":"<p><p>BackgroundProstate cancer (PCa) is the most common malignant tumor that endangers the life and health of middle-aged and elderly men.PurposeTo evaluate the significance of radiomic features from intralesional and perilesional regions in bi-parametric magnetic resonance imaging (MRI) for diagnosing PCa.Material and MethodsA total of 211 patients with suspected PCa who accepted prostate MRI scans were enrolled in this study. The region of interest (ROI) corresponding to the original lesion was manually delineated to define the intralesional ROI on bp-MRI maps. The original lesion ROI was then expanded by 2 mm, 4 mm, 6 mm, and 8 mm, while excluding the intralesional area to create the perilesional ROI. Features were extracted from each ROI, and a radiomics model was developed using logistic regression. The combined model integrated features from both intralesional and perilesional regions. Its predictive performance was assessed using receiver operating characteristic (ROC) curves and area under the curve (AUC) to evaluate its diagnostic efficacy for PCa.ResultsThe comparison revealed that perilesional 4 mm model had the best performance among all perilesional models, its AUCs of 0.934 and 0.894 in the training testing set, respectively, outperformed the combined model of other regions. The clinical model, combined model for intralesional regions, and INTRAPERI model achieved AUCs of 0.911, 0.925, 0.931 in the training sets and 0.770, 0.867, 0.905 in the testing sets. The predictive performance of the INTRAPERI model is better than the clinical model and intralesional model.ConclusionThe radiomic model combining intralesional and perilesional features from bi-parametric MRI shows strong predictive value for PCa and may enhance clinical decision-making.</p>","PeriodicalId":7143,"journal":{"name":"Acta radiologica","volume":" ","pages":"639-649"},"PeriodicalIF":1.1,"publicationDate":"2025-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143447741","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Magnetic resonance imaging assessing the correlation of components and prognosis in myxoid liposarcoma.","authors":"Jianjun Hua, Wenting Yang, Angcheng Li, Sisis Wang, Mingliang Ying","doi":"10.1177/02841851251337861","DOIUrl":"https://doi.org/10.1177/02841851251337861","url":null,"abstract":"<p><p>BackgroundMyxoid liposarcoma (MLS) is a subtype of liposarcoma characterized by its myxoid stroma and adipocyte differentiation. MLS is prone to recurrence and metastasis. Magnetic resonance imaging (MRI) plays a crucial role in evaluating tumor characteristics, enabling accurate diagnosis, and predicting patient prognosis.PurposeTo analyze the components of MLS by MRI features and assess their correlation with prognosis.Material and MethodsA total of 20 patients with MLS who underwent MRI were retrospectively included. Tumor components were analyzed by MRI features, and their prognostic correlation was assessed. Patients were divided into good and poor prognosis groups based on postoperative follow-up.ResultsThe proportions of non-fatty/non-myxoid components in the good and poor prognosis groups were 15.00% (range = 10.00%-20.00%) and 70.00% (range = 52.50%-77.50%), respectively (<i>P</i> < 0.001). The proportion of myxoid composition also differed significantly between the two groups (75.00%, [range = 65.00%-85.00%] vs. 25.00% [range = 17.50%-42.50%]; <i>P</i> < 0.001). The good prognosis group had a greater mean apparent diffusion coefficient (ADC) value (1.66 ± 0.23 × 10<sup>-3</sup> mm<sup>2</sup>/s) and a lower mean ADC low signal ratio (5.00% [range = 0%-10.00%]) in the non-fatty/non-myxoid areas than the poor group (1.21 ± 0.41 × 10<sup>-3</sup> mm<sup>2</sup>/s; 20.00% [range = 11.00%-39.00%]; <i>P</i> <i>=</i> 0.006 and <i>P</i> <i>=</i> 0.001). The differences in the percentages of patients with a component ratio <25% and >50% in both the non-fatty/non-myxoid and myxoid groups were significant (<i>P</i> < 0.001 and <i>P</i> <i>=</i> 0.005).ConclusionImaging features were closely associated with the histological components of MLS. The use of MRI features for assessing MLS components has important implications for prognostic prediction.</p>","PeriodicalId":7143,"journal":{"name":"Acta radiologica","volume":" ","pages":"2841851251337861"},"PeriodicalIF":1.1,"publicationDate":"2025-05-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144109374","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Acta radiologicaPub Date : 2025-05-16DOI: 10.1177/02841851251339010
James Baker, Charlotte Elliott, Alexander Boden, Antony Antypas, Shwetabh Singh, Prashant Aggarwal, Naduni Jayasinghe, Padmanesan Narasimhan
{"title":"What are the perceptions of AI in radiology among UK medical students and junior doctors?","authors":"James Baker, Charlotte Elliott, Alexander Boden, Antony Antypas, Shwetabh Singh, Prashant Aggarwal, Naduni Jayasinghe, Padmanesan Narasimhan","doi":"10.1177/02841851251339010","DOIUrl":"https://doi.org/10.1177/02841851251339010","url":null,"abstract":"<p><p>BackgroundThe integration of artificial intelligence (AI) in radiology has the potential to improve diagnostic accuracy and efficiency. Medical students and junior doctors will likely use AI more frequently in the future, making their perceptions essential for identifying educational gaps.PurposeTo explore the perceptions of UK medical students and junior doctors regarding AI in radiology.Material and MethodsA cross-sectional survey was distributed across UK medical schools and foundation programs. A total of 250 responses were analyzed using descriptive statistics and non-parametric tests, focusing on career impact, clinical effectiveness, educational development, and ethical concerns.ResultsMost respondents (55.2%) were undeterred by career uncertainties related to AI, with 64% confident that AI would not replace radiologists. Up to 80.6% supported AI's clinical benefits, and 63.2% endorsed its educational integration. However, there were concerns about job displacement and insufficient AI training. Medical students were more worried about job security than junior doctors, while those committed to radiology were less apprehensive and viewed AI as complementary.ConclusionEducational programs and regulatory frameworks are essential to facilitate AI integration in radiology. Addressing concerns about job displacement and improving AI education will be key to preparing future radiologists for technological advancements.</p>","PeriodicalId":7143,"journal":{"name":"Acta radiologica","volume":" ","pages":"2841851251339010"},"PeriodicalIF":1.1,"publicationDate":"2025-05-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144075262","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Acta radiologicaPub Date : 2025-05-16DOI: 10.1177/02841851251337849
Ping Yin, Jie Xu, Ying Liu, Sicong Wang, Tao Liu, Xiaodong Tang, Nan Hong
{"title":"T2-weighted magnetic resonance imaging radiogenomic features for the prediction of neoadjuvant chemotherapy response in patients with osteosarcoma.","authors":"Ping Yin, Jie Xu, Ying Liu, Sicong Wang, Tao Liu, Xiaodong Tang, Nan Hong","doi":"10.1177/02841851251337849","DOIUrl":"https://doi.org/10.1177/02841851251337849","url":null,"abstract":"<p><p>BackgroundOsteosarcoma (OS) is the most common primary malignant bone tumor. Exploring quantitative parameters that reflect the outcome of neoadjuvant chemotherapy (NACT) in patients with OS can help advance the treatment of patients.PurposeTo explore the role of T2-weighted (T2W) magnetic resonance imaging (MRI) radiogenomic features in characterizing changes in patients with OS and on NACT.Material and MethodsA total of 21 patients with OS were examined retrospectively and divided into a poor-response group (n = 13) and a good-response group (n = 8). A total of 98 radiomic features and 31 gene expression profiles were analyzed for each patient. Age, sex, alkaline phosphatase, pathologic type, tumor size, and tumor location were also analyzed. Comparisons between the good- and poor-response groups were made using the <i>t</i>-test, Mann-Whitney U test, or Fisher's exact test. The relationships between radiomic features and gene expression profiles were conducted using Spearman's correlative analyses.ResultsStatistical differences in 19 radiomics features and glutathione-s-transferase 1 were found between the good- and poor-response groups (<i>P</i> < 0.05). The receiver operating characteristic curve showed that four NGTDM busyness features had the best performance in predicting the NACT of patients with OS, with an area under the curve of 0.788, sensitivity of 0.750, and specificity of 0.923. Correlation analysis showed that the <i>HLA_I</i>, <i>CD274</i>, <i>GSTP1</i>, and <i>CCND3</i> were significantly correlated with one or more radiomics features (<i>P</i> < 0.05).ConclusionThe T2W MRI radiogenomic features can be used as biomarkers for the early response evaluation of NACT in OS. This is the first study to analyze the association of T2 radiogenomic features with NACT in patients with OS to assist in the assessment of NACT.</p>","PeriodicalId":7143,"journal":{"name":"Acta radiologica","volume":" ","pages":"2841851251337849"},"PeriodicalIF":1.1,"publicationDate":"2025-05-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144075259","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Acta radiologicaPub Date : 2025-05-16DOI: 10.1177/02841851251337439
Yi Zhang, Zaizhu Zhang, Yan Zhang, Xinying Huang, Wei Yu
{"title":"Bone and muscle loss in SAPHO syndrome: quantitative analysis and factors associated with vertebral fractures.","authors":"Yi Zhang, Zaizhu Zhang, Yan Zhang, Xinying Huang, Wei Yu","doi":"10.1177/02841851251337439","DOIUrl":"https://doi.org/10.1177/02841851251337439","url":null,"abstract":"<p><p>BackgroundSAPHO syndrome can involve the spine, along with vertebral fractures (VFs), and demonstrates osteoporosis and sarcopenia. However, the relationship between musculoskeletal factors with VFs in SAPHO patients is unclear.PurposeTo quantify bone and muscle loss in SAPHO syndrome and identify the factors associated with VFs.Material and MethodsThe study included 35 patients and 70 age- and sex-matched controls. The bone mineral density (BMD) of the lumbar spine (LS), femoral neck (FN), total hip (TH), the age- and sex-specific T- and Z-scores, and trabecular bone score (TBS) were evaluated using dual-energy X-ray absorptiometry (DXA). Cross-sectional muscle area (CSMA), skeletal muscle radio-attenuation (SMRA), skeletal muscle index (SMI), and skeletal muscle gauge (SMG) were assessed at the T8, T10, and T12 levels based on chest CT scans. The related factors of VFs were analyzed through univariable and multivariable analyses. The diagnostic accuracy of the related factors in VFs was based on receiver operator characteristic (ROC) curves.ResultsCompared to controls, LS-BMD, FN-BMD, TH-BMD, corresponding T- and Z-scores, and TBS were significantly reduced in women, whereas LS-BMD, T- and Z-scores were significantly increased in men. CSMA, SMI, and SMG at the T8, T10, and T12 levels were significantly reduced in women. LS-BMD and SMG-T12 were independently associated with VFs, and their combination showed the highest diagnostic efficacy for VFs.ConclusionFemale SAPHO patients exhibited notable bone and muscle loss, along with bone microstructure damage. LS-BMD and SMG-T12 hold the potential to offer valuable insights for the management of VFs risk in SAPHO patients.</p>","PeriodicalId":7143,"journal":{"name":"Acta radiologica","volume":" ","pages":"2841851251337439"},"PeriodicalIF":1.1,"publicationDate":"2025-05-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144075254","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Detection of amyloid deposition in the hip and shoulder joints on CT scans as indicative of ATTR-type cardiac amyloidosis.","authors":"Shiro Ishii, Ryo Yamakuni, Masayoshi Oikawa, Kenji Fukushima, Tatsuya Ando, Junko Hara, Shigeyasu Sugawara, Hirofumi Sekino, Hiroshi Ito","doi":"10.1177/02841851251337440","DOIUrl":"https://doi.org/10.1177/02841851251337440","url":null,"abstract":"<p><p>BackgroundAmyloid deposition manifests as thickening and calcification of the joints on computed tomography (CT) images.PurposeTo investigate the diagnostic potential of thickening and calcification of the shoulder and hip joints for the detection of transthyretin amyloid cardiomyopathy (ATTR-CM).Material and MethodsWe included 19 patients who had been assessed using <sup>99m</sup>Tc-pyrophosphate scintigraphy between January 2019 and December 2022 and diagnosed with ATTR-CM. The incidence of calcification and synovial thickening in the hip and shoulder joints of the patients and controls was evaluated. Two radiologists determined differences in joint calcification and thickness on CT images using Pearson chi-square tests and unpaired t-tests, respectively.ResultsShoulder and hip joint thickness (both <i>P</i> < 0.01) and calcifications (<i>P</i> < 0.05) significantly differed between the groups. The area under the receiver operating characteristic curve (AUC) was 0.74 for the shoulder joint, and the cut-off Youden index was 16.1 mm, with a sensitivity and specificity of 63.2% and 78.9%, respectively. The AUC was 0.844 for the hip joint, with an optimal cutoff of 11.8 mm, with a sensitivity and specificity of 71.4% and 89.5%, respectively. Inter-observer agreement was substantial between the radiologists for detecting hip and/or shoulder joint calcification (κ = 0.712). The interclass correlation coefficients (2, 1) were 0.65 and 0.71 for measurements of shoulder and hip joint thickness, respectively.ConclusionThickened and calcified shoulder and hip joints are more likely to be found in patients with clinically diagnosed ATTR-CM than those without.</p>","PeriodicalId":7143,"journal":{"name":"Acta radiologica","volume":" ","pages":"2841851251337440"},"PeriodicalIF":1.1,"publicationDate":"2025-05-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143963609","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"The radiologic and FDG uptake findings of osseous lesions incidentally detected on 18F-FDG-PET/CT imaging.","authors":"Ipek Tamsel, Batuhan Kocabeyoglu, Ilhan Hekimsoy, Ayşegul Akgun","doi":"10.1177/02841851251339019","DOIUrl":"https://doi.org/10.1177/02841851251339019","url":null,"abstract":"<p><p>BackgroundIn routine clinical practice, incidental solitary bone lesions are commonly seen on various imaging modalities. 18F-FDG-positron emission tomography (PET)/computed tomography (CT) imaging provides functional and morphological information in oncology patients, and incidental bone lesions are often detected during the scan.PurposeTo evaluate the metabolic characteristics and CT morphological findings of incidental bone lesions detected in patients undergoing 18F-FDG-PET/CT imaging.Material and MethodsSUVmax values and CT characteristics of incidental osseous lesions reported in 86 patients undergoing 18F-FDG-PET/CT imaging between 2019 and 2023 were evaluated. In addition, the SUVmax values of the lesions were compared with bone areas without adjacent/contralateral density/FDG changes. CT characteristics of incidental osseous lesions were evaluated.ResultsThe study group included 52 women and 34 men (age range = 26-89 years). CT identified typical bone haemangioma lesions in 45/86 (52%) cases. Non-haemangioma lesions were mainly benign bone pathologies: fibrous dysplasia; Paget's disease; perineural cyst; osteonecrosis; and osteoma. The mean SUVmax value of 41 non-haemangioma bone lesions (4.27 ± 3.71) was significantly higher than that in adjacent/contralateral normal density areas (2.31 ± 1.27; <i>P</i> = 0.01).Conclusion18F-FDG-PET/CT imaging shows varying FDG uptake in incidental osseous lesions. Morphological features on CT play a critical role in diagnosis and avoiding unnecessary imaging or interventions.</p>","PeriodicalId":7143,"journal":{"name":"Acta radiologica","volume":" ","pages":"2841851251339019"},"PeriodicalIF":1.1,"publicationDate":"2025-05-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143960751","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}