Acta radiologica最新文献

{"title":"Professor Henrik S. Thomsen: a remarkable legacy in radiology.","authors":"Ole Graumann","doi":"10.1177/02841851251313642","DOIUrl":"https://doi.org/10.1177/02841851251313642","url":null,"abstract":"","PeriodicalId":7143,"journal":{"name":"Acta radiologica","volume":"66 1","pages":"3"},"PeriodicalIF":1.1,"publicationDate":"2025-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143078177","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":"Anatomical insights into medial-sided talar dome osteochondral lesions: a comparative analysis of unilateral and bilateral cases and healthy controls using MRI measurements.","authors":"Eda Cingoz, Rana Gunoz Comert, Mehmet Cingoz, Ravza Yilmaz, Memduh Dursun","doi":"10.1177/02841851241292814","DOIUrl":"10.1177/02841851241292814","url":null,"abstract":"<p><strong>Background: </strong>The etiology of medial-sided talar osteochondral lesions (OCLs) remains insufficiently understood.</p><p><strong>Purpose: </strong>To identify anatomical risk factors contributing to the development of unilateral or bilateral OCL of the talus on the medial side, utilizing morphological parameters derived from magnetic resonance imaging (MRI).</p><p><strong>Material and methods: </strong>In this retrospective study, 24 ankle MRI scans from 12 patients exhibiting bilateral OCLs of the talar dome on the medial side, 24 ankle MRIs from 24 patients with unilateral medial-sided OCLs, and 24 healthy controls matched for age, sex, and side within each group were analyzed. Six distinct MRI parameters were measured: the anterior opening angle of the talus (AOT); tibial axis-medial malleolus angle (TMM); plafond-malleolar angle (PMA); anterior talofibular ligament-posterior talofibular ligament (ATFL-PTFL) angle; the ratio of the distal tibial articular surface to the length of the trochlea tali arc (TAS/TAL); and the depth of the incisura fibularis (IncDep).</p><p><strong>Results: </strong>The AOT, ATFL-PTFL angle, and TMM of individuals in both the bilateral and unilateral groups were significantly higher when compared to the healthy controls. In addition, TMM measurements in the unilateral group were significantly higher than in the bilateral group.</p><p><strong>Conclusion: </strong>AOT and TMM appeared to be the primary predisposing factors in the development of both unilateral and bilateral OCLs. Furthermore, TMM shows a greater increase in unilateral OCL cases compared to bilateral OCL cases. The fact that TMM is not significantly high in known unilateral OCL cases can be a stimulus for investigating the other ankle for OCL.</p>","PeriodicalId":7143,"journal":{"name":"Acta radiologica","volume":" ","pages":"88-98"},"PeriodicalIF":1.1,"publicationDate":"2025-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142646773","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":"Development of a nomogram based on whole-tumor multiparametric MRI histogram analysis to predict deep myometrial invasion in stage I endometrioid endometrial carcinoma preoperatively.","authors":"Ying Deng, Tingting Zhao, Jun Zhang, Qiang Dai, Bin Yan","doi":"10.1177/02841851241297603","DOIUrl":"10.1177/02841851241297603","url":null,"abstract":"<p><strong>Background: </strong>The depth of myometrial invasion determines whether International Federation of Gynecology and Obstetrics stage I endometrioid endometrial carcinoma (EEC) patients undergo lymph node dissection. However, subjective evaluation results relying on magnetic resonance imaging (MRI) are not always satisfactory.</p><p><strong>Purpose: </strong>To develop a nomogram based on whole-volume tumor MRI histogram parameters to preoperatively predict deep myometrial invasion (DMI) in patients with stage I EEC.</p><p><strong>Material and methods: </strong>This retrospective analysis included 131 EEC patients and a training/validation cohort of 92/39 patients at a 7:3 ratio. The histogram parameters were obtained from multiple sequences (ADC mapping and T2-weighted imaging) within volumes of interest. Univariate analysis, least absolute shrinkage and selection operator (LASSO) regression, and multivariate logistic regression were used for feature selection. The performance of clinical model, histogram model, and histogram nomogram was evaluated by calculating the area under the receiver operating characteristic curve (AUC).</p><p><strong>Results: </strong>Age and two morphological features (maximum anteroposterior tumor diameter on sagittal T2-weighted images [APsag] and the tumor area ratio [TAR]) were selected to construct the clinical model. Five histogram parameters were selected for the creation of the histogram model. The nomogram, which combines the histogram parameters, age, APsag, and TAR, achieved the highest AUCs in both the training and validation cohorts (nomogram vs. histogram vs. clinical model: 0.973 vs. 0.871 vs. 0.934 [training] and 0.972 vs. 0.870 vs. 0.928 [validation]).</p><p><strong>Conclusion: </strong>The MR histogram nomogram can help predict the DMI of patients with stage I EEC preoperatively, assisting physicians in the development of personalized treatment strategies.</p>","PeriodicalId":7143,"journal":{"name":"Acta radiologica","volume":" ","pages":"50-61"},"PeriodicalIF":1.1,"publicationDate":"2025-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142680537","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":"Reliability, reproducibility, and potential pitfalls of the O-RADS scoring with non-dynamic MRI.","authors":"Gulsum Kılıçkap, Betül Akdal Dölek, Serhat Kaya, Numan Ilteriş Çevik","doi":"10.1177/02841851241279897","DOIUrl":"10.1177/02841851241279897","url":null,"abstract":"<p><strong>Background: </strong>The O-RADS scoring has been proposed to standardize the reporting of adnexal lesions using magnetic resonance imaging (MRI).</p><p><strong>Purpose: </strong>To assess intra- and inter-observer agreement of the O-RADS scoring using non-dynamic MRI and its agreement with pathologic diagnosis, and to provide the pitfalls in the scoring based on discordant ratings.</p><p><strong>Material and methods: </strong>Adnexal lesions that were diagnosed using non-dynamic MRI at two centers were scored using O-RADS. Intra- and inter-observer agreements were assessed using kappa statistics. Cross-tabulations were made for intra- and inter-observer ratings and for O-RADS scores and pathological findings.</p><p><strong>Results: </strong>Intra- and inter-observer agreements were assessed for 404 lesions in 339 patients who were admitted to center 1. Intra-observer agreement was almost perfect (97.8%, kappa = 0.963) and inter-observer agreement was substantial (83.2%, kappa = 0.730). The combined data from center 1 and center 2 included 496 patients; of them, 295 (59.5%) were operated. There was no borderline or malignant pathology for the lesions with O-RADS 1 or 2. Of those with an O-RADS score of 3, 3 (4.1%) lesions were borderline and none were malignant. The O-RADS scoring in discriminating borderline/malignant lesions from benign lesions was outstanding (area under the ROC curve 0.950, 95% CI = 0.923-0.971). Sensitivity, specificity, positive, and negative predictive values of O-RADS 4/5 lesions for borderline/malignant lesions were 96.2%, 87.1%, 72.8%, and 98.4%, respectively.</p><p><strong>Conclusion: </strong>The O-RADS scoring using non-dynamic MRI is a reproducible method and has good discrimination for borderline/malignant lesions. Potential factors that may lead to discordant ratings are provided here.</p>","PeriodicalId":7143,"journal":{"name":"Acta radiologica","volume":" ","pages":"1560-1568"},"PeriodicalIF":1.1,"publicationDate":"2024-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142339128","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":"A survey of bridging bone on chest radiography shows a greater than expected prevalence of marginal syndesmophytes.","authors":"Ankur Srivastava, Timothy Miao, Yi Yan, Artur Wozniak, Joanne Howey, Michael Roth, Gregory J Garvin","doi":"10.1177/02841851241289562","DOIUrl":"10.1177/02841851241289562","url":null,"abstract":"<p><strong>Background: </strong>The recognition of thin marginal spinal syndesmophytes is important, in part due to their association with non-traumatic or mildly traumatic vertebral fractures.</p><p><strong>Purpose: </strong>To determine a lower limit on the prevalence of marginal spinal syndesmophytes using chest radiographs.</p><p><strong>Material and methods: </strong>We conducted a retrospective analysis of 500 chest radiographs, assessing the prevalence of thin marginal syndesmophytes, bridging or near-bridging osteophytes, and flowing paravertebral ossifications in the thoracic intervertebral discs among individuals aged 16 years and older in a North American city.</p><p><strong>Results: </strong>Among the 500 participants, we observed that thin vertical marginal syndesmophytes were present in 17 (3.4%) cases, bridging or near-bridging osteophytes were present in 126 (25.2%) cases, and flowing paravertebral ossifications were present in 37 (7.4%) cases. Out of the 17 participants with thin marginal syndesmophytes, 10 exhibited a bamboo-like spine appearance, defined as the presence of ≥4 contiguous levels of bridging marginal syndesmophytes. Analysis of syndesmophyte distribution per vertebral level indicated a higher frequency of involvement in the mid to lower thoracic spine, maximal at T9/10.</p><p><strong>Conclusions: </strong>The presence of thin marginal syndesmophytes in the thoracic spine on routine chest radiographs is substantially more prevalent than would be anticipated based on the existing literature. The feasibility of reliably identifying these syndesmophytes in the spine and the impact of this on morbidity should be further investigated due to their association with advanced ankylosing spondylitis and their susceptibility to fractures.</p>","PeriodicalId":7143,"journal":{"name":"Acta radiologica","volume":" ","pages":"1499-1505"},"PeriodicalIF":1.1,"publicationDate":"2024-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142589602","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":"Dynamic susceptibility contrast-enhanced MRI with USPIO in evaluating angiogenesis of the peri-infarction zones in subacute ischemic stroke in a permanent middle cerebral artery occlusion rat model.","authors":"Yuanchao Li, Fang Lu, Cheng Zhang, Huihui Xu, Shuohui Yang","doi":"10.1177/02841851241290646","DOIUrl":"10.1177/02841851241290646","url":null,"abstract":"<p><strong>Background: </strong>Dynamic susceptibility contrast-enhanced magnetic resonance imaging (DSC-MRI) can reflect the angiogenesis of ischemic stroke.</p><p><strong>Purpose: </strong>To investigate the value of DSC-MRI with ultrasmall superparamagnetic particles of iron oxides (USPIO) in evaluating angiogenesis in the peri-infarction zones in subacute ischemic stroke in a permanent middle cerebral artery occlusion (pMCAO) rat model.</p><p><strong>Material and methods: </strong>A total of 21 Sprague-Dawley rats were randomly divided into the pMCAO and sham operation groups. Every rat in each group underwent DSC-MRI with USPIO at 3, 5, and 7 days. DSC-MRI parameters of the relative cerebral blood volume (rCBV), relative cerebral blood flow (rCBF), relative mean transit time (rMTT), and relative time to peak (rTTP) were measured, calculated, and compared among the different times. Sequential correlations were analyzed among the histopathological indexes with the microvascular density (MVD) and percentage of vascular area (%VA), the serum factors with vascular endothelial growth factor (VEGF), vascular cell adhesion molecule 1 (VCAM-1), and perfusion parameters, respectively.</p><p><strong>Results: </strong>The rCBV and rCBF in the peri-infarction area of pMCAO rats were significantly higher on day 7 than on day 3, whereas no significant changes in rMTT and rTTP were observed at 3, 5, and 7 days. Significantly positive correlations were found between rCBV and MVD, %VA, VEGF, VCAM-1, between rCBF and MVD, %VA, VEGF, and VCAM-1 at 3, 5, and 7 days in the pMCAO group.</p><p><strong>Conclusion: </strong>The rCBV and rCBF deriving from USPIO-DSC may be potentially useful for evaluating the angiogenesis of the peri-infarction zones in the subacute phase of ischemic stroke.</p>","PeriodicalId":7143,"journal":{"name":"Acta radiologica","volume":" ","pages":"1529-1539"},"PeriodicalIF":1.1,"publicationDate":"2024-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142492730","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":"Inter-reader agreement of LI-RADS treatment response algorithm among three readers with different seniorities for hepatocellular carcinoma after locoregional therapy.","authors":"Yuxin Wang, Himeko Asayo, Wei Wang, Hui Xu, Dawei Yang, Lixue Xu, Siwei Yang, Zhenghan Yang","doi":"10.1177/02841851241289130","DOIUrl":"10.1177/02841851241289130","url":null,"abstract":"<p><strong>Background: </strong>The accurate evaluation of tumor response after locoregional therapy is crucial for adjusting therapeutic strategy and guiding individualized follow-up.</p><p><strong>Purpose: </strong>To determine the inter-reader agreement of the LR-TR algorithm for hepatocellular carcinoma treated with locoregional therapy among radiologists with different seniority.</p><p><strong>Material and methods: </strong>A total of 275 treated observations on 249 MRI scans from 99 patients were retrospectively collected. Three readers of different seniorities (senior, intermediate, and junior with 10, 6, and 2 years of experience in hepatic imaging, respectively) analyzed the presence or absence of features (arterial-phase hyperenhancement and washout) and evaluated LR-TR category.</p><p><strong>Results: </strong>There were substantial inter-reader agreements for overall LR-TR categorization (kappa = 0.704), LR-TR viable (kappa = 0.715), and LR-TR non-viable (kappa = 0.737), but fair inter-reader agreement for LR-TR equivocal (kappa = 0.231) among three readers. The inter-reader agreement was substantial for arterial-phase hyperenhancement (kappa = 0.725), but moderate for washout (kappa = 0.443) among three readers. The inter-reader agreements between two readers were substantial for overall LR-TR categorization (kappa = 0.734, 0.727, 0.652), LR-TR viable (kappa = 0.719, 0.752, 0.678), and LR-TR non-viable (kappa = 0.758, 0.760, 0.694), which were at the same level as the inter-reader agreements among three readers. In addition, the inter-reader agreements between two readers were substantial for arterial-phase hyperenhancement (kappa = 0.733, 0.766, 0.678), but moderate for washout (kappa = 0.473, 0.422, 0.446), which were at the same level as the inter-reader agreements among three readers.</p><p><strong>Conclusion: </strong>LR-TR algorithm demonstrated overall substantial inter-reader agreement among radiologists with different seniority.</p>","PeriodicalId":7143,"journal":{"name":"Acta radiologica","volume":" ","pages":"1458-1464"},"PeriodicalIF":1.1,"publicationDate":"2024-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142567205","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":"Development of a radiomic model for cervical cancer staging based on pathologically verified, retrospective metastatic lymph node data.","authors":"Bin Zhang, Liang Liu, Deyue Meng, Chin Siang Kue","doi":"10.1177/02841851241291931","DOIUrl":"10.1177/02841851241291931","url":null,"abstract":"<p><strong>Background: </strong>Cervical cancer is a major cause of morbidity and mortality among gynecological malignancies. Diagnostic imaging of lymph node (LN) metastasis for prognosis and staging is used; however, the accuracy in classifying the stage needs to improve.</p><p><strong>Purpose: </strong>To examine the accuracy of AI-based radiomics in diagnosis, prognosis assessment and predicting the diagnostic value of radiomics for pelvic LN metastasis in cervical cancer patients.</p><p><strong>Material and methods: </strong>The study included 118 female patients with 660 LNs and 118 merged LNs. Four imaging histology models-decision tree, random forest, logistic regression, and support vector machine (SVM)-were created in this study. The imaging histology features were extracted from both the independent and merged LN groups. The AUC values for the test sets and the training sets of the four imaging histology models were compared for the independent LN group and the merged LN group. The DeLong test was used to compare the models.</p><p><strong>Result: </strong>The imaging histology prediction model developed in the merged LN group outperformed the independent LN group in terms of test set AUC (0.668 vs. 0.535 for decision tree, 0.841 vs. 0.627 for logistic regression, 0.785 vs. 0.637 for random forest, 0.85 vs. 0.648 for SVM) and accuracy (0.754 vs. 0.676 for decision tree, 0.780 vs. 0.671 for random forest, 0.848 vs. 0.685 for logistic regression, 0.822 vs. 0.657 for SVM).</p><p><strong>Conclusion: </strong>The constructed SVM imaging histology model for the merged LN group might be advantageous in predicting pelvic LN metastasis in cervical cancer.</p>","PeriodicalId":7143,"journal":{"name":"Acta radiologica","volume":" ","pages":"1548-1559"},"PeriodicalIF":1.1,"publicationDate":"2024-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142680539","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":"Assessment of pediatric breast ultrasound less is more: a practical imaging approach.","authors":"Elisabetta Giannotti, Rachel Sun, Nuala Healy, Fleur Kilburn-Toppin, Carmelo Sofia, Andrew Hs Lee, Maria Adele Marino","doi":"10.1177/02841851241287924","DOIUrl":"10.1177/02841851241287924","url":null,"abstract":"<p><strong>Background: </strong>Breast cancer in pediatric patients is rare, but ultrasound (US) is widely utilized for symptomatic cases.</p><p><strong>Purpose: </strong>To determine biopsy and cancer detection rates of pediatric patients and to assess if breast US can be omitted.</p><p><strong>Material and methods: </strong>A retrospective review of a 5-year period was conducted of single-center breast US performed in patients aged <19 years. Data regarding presentation, clinical opinion (P1-5 score), and US (U1-5 score) were collected. If biopsy or surgery was performed, pathology was reviewed (B1-5 score).</p><p><strong>Results: </strong>In total, 579 patients were included (19 boys, 560 girls; mean age=16.2±1.9 years; age range=0-18 years). Clinical examination was normal or benign (P1/P2) in all boys (100%) and 557/560 (99.5%) girls, and P3 in 3 (0.5%) girls. Of US, 52% demonstrated normal findings (U1) for both sexes (300/579); in the remaining cases, the most frequent findings were gynecomastia in 12/19 boys and well-defined breast masses in 208/560 girls. Of the 560 girls, 6 (1%) underwent US-guided biopsy, with final histology of fibroadenoma (B2) in all cases, while 27 (5%) had a surgical excision, with final histology of fibroadenoma (22/27, 81.5%), hamartoma (2/27, 7.4%), benign phyllodes tumor (2/27, 7.4%), and angiomyxoma skin lesion (1/27, 3.7%). No malignant lesions were diagnosed at the time of clinical referral or during the 18-month follow-up in patients with a well-defined mass on US.</p><p><strong>Conclusion: </strong>Breast malignancy is extremely rare in pediatric population. US can be safely omitted if clinical examination is normal; this approach would have avoided breast US in 52% of patients in this study.</p>","PeriodicalId":7143,"journal":{"name":"Acta radiologica","volume":" ","pages":"1465-1472"},"PeriodicalIF":1.1,"publicationDate":"2024-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11633068/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142455561","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Machine learning and radiomics for ventricular tachyarrhythmia prediction in hypertrophic cardiomyopathy: insights from an MRI-based analysis.","authors":"Emine Sebnem Durmaz, Mert Karabacak, Burak Berksu Ozkara, Osman Aykan Kargın, Bilal Demir, Damla Raimoglou, Ahmet Atil Aygun, Ibrahim Adaletli, Ahmet Bas, Eser Durmaz","doi":"10.1177/02841851241283041","DOIUrl":"10.1177/02841851241283041","url":null,"abstract":"<p><strong>Background: </strong>Myocardial fibrosis is often detected in patients with hypertrophic cardiomyopathy (HCM), which causes left ventricular (LV) dysfunction and tachyarrhythmias.</p><p><strong>Purpose: </strong>To evaluate the potential value of a machine learning (ML) approach that uses radiomic features from late gadolinium enhancement (LGE) and cine images for the prediction of ventricular tachyarrhythmia (VT) in patients with HCM.</p><p><strong>Material and methods: </strong>Hyperenhancing areas of LV myocardium on LGE images were manually segmented, and the segmentation was propagated to corresponding areas on cine images. Radiomic features were extracted using the PyRadiomics library. The least absolute shrinkage and selection operator (LASSO) method was employed for radiomic feature selection. Our model development employed the TabPFN algorithm, an adapted Prior-Data Fitted Network design. Model performance was evaluated graphically and numerically over five-repeat fivefold cross-validation. SHapley Additive exPlanations (SHAP) were employed to determine the relative importance of selected radiomic features.</p><p><strong>Results: </strong>Our cohort consisted of 60 patients with HCM (73.3% male; median age = 51.5 years), among whom 17 had documented VT during the follow-up. A total of 1612 radiomic features were extracted for each patient. The LASSO algorithm led to a final selection of 18 radiomic features. The model achieved a mean area under the receiver operating characteristic curve of 0.877, demonstrating good discrimination, and a mean Brier score of 0.119, demonstrating good calibration.</p><p><strong>Conclusion: </strong>Radiomics-based ML models are promising for predicting VT in patients with HCM during the follow-up period. Developing predictive models as clinically useful decision-making tools may significantly improve risk assessment and prognosis.</p>","PeriodicalId":7143,"journal":{"name":"Acta radiologica","volume":" ","pages":"1473-1481"},"PeriodicalIF":1.1,"publicationDate":"2024-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142339126","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}