Acta radiologica最新文献

{"title":"Opportunistic screening of osteoporosis using CT urography: comparison of diagnostic performance between contrast phases.","authors":"Youngjune Kim, Sejoon Lee, Eugene Lee, Joon Woo Lee","doi":"10.1177/02841851251322928","DOIUrl":"https://doi.org/10.1177/02841851251322928","url":null,"abstract":"<p><strong>Background: </strong>Opportunistic screening of osteoporosis using computed tomography (CT) should be optimized according to CT protocols. However, to date, no study has evaluated the different contrast phases of CT urography in osteoporosis screening.</p><p><strong>Purpose: </strong>To compare the diagnostic performance of different contrast phases of CT urography in opportunistic screening of osteoporosis.</p><p><strong>Material and methods: </strong>In this single-center retrospective study, 210 consecutive patients (181 men, 29 women; mean age = 72.0 ± 9.5 years) who underwent both CT urography and dual-energy X-ray absorptiometry (DXA) within 3 months in July to December 2020 were included. The attenuation value was measured at the center of the L1 vertebral body in the axial plane of the precontrast, corticomedullary, and excretory phases. The mean and standard deviation (SD) of attenuation values were calculated. The area under the receiver operating characteristic curve (AUC) in differentiating osteoporosis versus osteopenia/normal was measured in each phase, and non-parametric comparisons between precontrast and the other phases were performed.</p><p><strong>Results: </strong>According to DXA results, 90, 90, and 30 patients were classified into the normal, osteopenia, and osteoporosis groups, respectively. The mean ± SD of attenuation values in the precontrast, corticomedullary, and excretory phases were 114.9 ± 47.8, 132.8 ± 49.3, and 126.2 ± 47.2 HU, respectively. A significant difference was observed between AUCs measured in the precontrast (0.804, 95% confidence interval [CI] = 0.717-0.890) and corticomedullary phases (0.760, 95% CI = 0.661-0.860) (<i>P </i>= 0.003) and those between the precontrast and excretory phases (0.774, 95% CI = 0.678-0.869) (<i>P </i>= 0.005).</p><p><strong>Conclusion: </strong>The precontrast phase outperformed the other phases in the opportunistic screening of osteoporosis using CT urography.</p>","PeriodicalId":7143,"journal":{"name":"Acta radiologica","volume":" ","pages":"2841851251322928"},"PeriodicalIF":1.1,"publicationDate":"2025-03-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143536340","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":"https://doi.org/10.1177/02841851251319110","url":null,"abstract":"<p><strong>Background: </strong>Accurate preoperative non-invasive assessment of HER2 expression in breast cancer is crucial for personalized treatment and prognostic stratification.</p><p><strong>Purpose: </strong>To evaluate the effectiveness of radiomics models based on multi-parametric magnetic resonance imaging (MRI) in distinguishing HER2 expression status in invasive breast cancer.</p><p><strong>Material and methods: </strong>We 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.</p><p><strong>Results: </strong>In 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).</p><p><strong>Conclusion: </strong>Radiomics 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":"2841851251319110"},"PeriodicalIF":1.1,"publicationDate":"2025-03-02","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":"Utilizing deep learning for automatic segmentation of the cochleae in temporal bone computed tomography.","authors":"Zhenhua Li, Langtao Zhou, Songhua Tan, Bin Liu, Yu Xiao, Anzhou Tang","doi":"10.1177/02841851241307333","DOIUrl":"10.1177/02841851241307333","url":null,"abstract":"<p><p>BackgroundSegmentation of the cochlea in temporal bone computed tomography (CT) is the basis for image-guided otologic surgery. Manual segmentation is time-consuming and laborious.PurposeTo assess the utility of deep learning analysis in automatic segmentation of the cochleae in temporal bone CT to differentiate abnormal images from normal images.Material and MethodsThree models (3D U-Net, UNETR, and SegResNet) were trained to segment the cochlea on two CT datasets (two CT types: GE 64 and GE 256). One dataset included 77 normal samples, and the other included 154 samples (77 normal and 77 abnormal). A total of 20 samples that contained normal and abnormal cochleae in three CT types (GE 64, GE 256, and SE-DS) were tested on the three models. The Dice similarity coefficient (DSC) and Hausdorff distance (HD) were used to assess the models.ResultsThe segmentation performances of the three models improved after adding abnormal cochlear images for training. SegResNet achieved the best performance. The average DSC on the test set was 0.94, and the HD was 0.16 mm; the performance was higher than those obtained by the 3D U-Net and UNETR models. The DSCs obtained using the GE 256 CT, SE-DS CT, and GE 64 CT models were 0.95, 0.94, and 0.93, respectively, and the HDs were 0.15, 0.18, and 0.12 mm, respectively.ConclusionThe SegResNet model is feasible and accurate for automated cochlear segmentation of temporal bone CT images.</p>","PeriodicalId":7143,"journal":{"name":"Acta radiologica","volume":" ","pages":"305-311"},"PeriodicalIF":1.1,"publicationDate":"2025-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142998337","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 magnetic resonance imaging appearance of the normal anatomy and injury pattern of capsuloligamentous complex of the first metatarsophalangeal joint.","authors":"Zhan-Hua Qian, Jin-E Wang, Rong-Jie Bai, Hui-Li Zhan, Wen-Ting Li, Nai-Li Wang, Yuming Yin","doi":"10.1177/02841851241309522","DOIUrl":"10.1177/02841851241309522","url":null,"abstract":"<p><p>BackgroundThe capsuloligamentous complex injury of the first metatarsophalangeal joint (MTPJ) is a common cause of turf toe.PurposeTo investigate whether high<b>-</b>resolution 3 T magnetic resonance imaging (MRI) could demonstrate all the normal anatomic structures and the MR features of the capsuloligamentous complex injury of the first MTPJ, and to evaluate the diagnostic performance of MRI in the diagnosis of the capsuloligamentous complex injuries of the first MTPJ.Material and MethodsA total of 115 feet were included in this study, including 48 feet from 24 healthy volunteers and 67 feet from 67 patients with the capsuloligamentous complex of the first MTPJ injuries. All feet had MRI examination. The MRI features of the capsuloligamentous complex of the first MTPJ of the volunteers and patients were analyzed. Diagnostic sensitivity, specificity, and accuracy of MRI were calculated using the surgery as the standard of reference. The inter-observer agreement was assessed using kappa analysis.ResultsThe central portion of the plantar plate and ligament injury manifested as discontinuity, with an indistinct appearance with hyperintense signal within the involved structures. The sensitivities, specificities, and diagnostic accuracy value of MRI for diagnosing most structures of the capsuloligamentous complex injuries of the first MTPJ were 67%-100%, 93%-100%, and 0.82-0.99, respectively, and overall good to perfect inter-observer agreements (kappa=0.63-0.95).ConclusionHigh-resolution MRI allows adequate visualization of normal anatomic structures of the first MTPJ. The best visualized structure is sesamoid phalangeal ligament and the most frequent injury is complete tear of the medial sesamoid phalangeal ligament.</p>","PeriodicalId":7143,"journal":{"name":"Acta radiologica","volume":" ","pages":"328-340"},"PeriodicalIF":1.1,"publicationDate":"2025-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143078148","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":"Comparative diagnostic performance of ⁶⁸Ga-PSMA-11 PET/CT and ⁶⁸Ga-PSMA-11 PET/MRI in detecting biochemical recurrent bone metastasis in prostate cancer: a systematic review and meta-analysis.","authors":"Xin Wen, Cheng-Yi Jiang, Xu Jiang, Yan Chen, Meng Li","doi":"10.1177/02841851241307336","DOIUrl":"10.1177/02841851241307336","url":null,"abstract":"<p><p>BackgroundThe comparative diagnostic performance of ⁶⁸Gallium (Ga)-PSMA-11 PET/CT and ⁶⁸Ga-PSMA-11 PET/MRI in detecting bone metastases in prostate cancer (PCa) remains unclear.PurposeTo systematically evaluate the early detection rate of biochemical recurrent (BCR) bone metastasis in PCa utilizing ⁶⁸Ga-PSMA-11 PET/CT and ⁶⁸Ga-PSMA-11 PET/MRI.Material and MethodsWe searched PubMed, Embase, and Web of Science for relevant articles up to April 2023 and extracted studies that examined the positivity rate of both ⁶⁸Ga-PSMA-11 PET/CT and ⁶⁸Ga-PSMA-11 PET/MRI in the context of the BCR bone metastasis of PCa patients. Random-effects model was used to compare positivity rates for two imaging modalities. Heterogeneity among studies was assessed using the <i>I</i>² statistic. To evaluate the methodological quality of studies, we employed Quality Assessment of Diagnostic Performance Studies method. The study protocol was registered in PROSPERO (CRD42023454118).ResultsA total of 1670 publications were originally identified; 58 studies, encompassing a cohort of 8037 patients, met the inclusion criteria. Regarding the evaluation of BCR bone metastasis, results suggest no statistically significant difference in the utilization of ⁶⁸Ga-PSMA-11 PET/CT versus ⁶⁸Ga-PSMA-11 PET/MRI in 58 non-head-to-head studies (0.21, 95% CI=0.19-0.24 and 0.17, 95% CI=0.11-0.23; <i>P </i>= 0.19) and four head-to-head studies (0.16, 95% CI=0.08-0.27 and 0.16, 95% CI=0.08-0.27; <i>P </i>= 1.00). Meta-regression showed the study design of influenced the heterogeneity in the PET/MRI group (<i>P</i> < 0.01); but analysis of PET/CT did not identify the potential reason for heterogeneity.ConclusionThere was no statistically significant difference in identifying BCR bone metastasis in PCa patients between ⁶⁸Ga-PSMA-11 PET/CT and ⁶⁸Ga-PSMA-11 PET/MRI.</p>","PeriodicalId":7143,"journal":{"name":"Acta radiologica","volume":" ","pages":"312-327"},"PeriodicalIF":1.1,"publicationDate":"2025-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143045408","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":"Diagnostic utility of magnetic resonance imaging in autoimmune encephalitis: prognostic implications.","authors":"Poornima Narayanan Nambiar, K Y Manisha, Jayakumari Nandana, Ramshekhar N Menon, S Vinayagamani, Bejoy Thomas, Ashalatha Radhakrishnan","doi":"10.1177/02841851241307330","DOIUrl":"https://doi.org/10.1177/02841851241307330","url":null,"abstract":"<p><p>BackgroundThe role of imaging in autoimmune encephalitis (AIE) remains unclear, and there are limited data on the utility of magnetic resonance imaging (MRI) to diagnose, treat, or prognosticate AIE.PurposeTo evaluate whether MRI is a diagnostic and prognostic marker for AIE and assess its efficacy in distinguishing between various AIE subtypes.Material and MethodsWe analyzed data from 96 AIE patients from our prospective autoimmune registry. MRI sequences examined were FLAIR, diffusion, SWI, T2WI, ASL, and contrast enhancement. Short-term outcomes were measured using the Modified Rankin Scale (mRS) at discharge; long-term outcomes were assessed with the Functional Independence Measure (FIM) at 6 months.ResultsMRI confirmed AIE in cases of new-onset seizures (82.1%, <i>P</i> < 0.001) and dementia (100%, <i>P</i> = 0.02). Antibody-negative AIE exhibited significant multifocal FLAIR abnormalities compared to antibody-positive cases (<i>P</i> = 0.002). LGI1 and CASPR2 encephalitis frequently involved the mesial temporal region (<i>P</i> = 0.004), while ASL revealed hyperperfusion of the contralateral basal ganglia in faciobrachial dystonic seizures (<i>P</i> = 0.016). GAD65 encephalitis predominantly affected the cerebellum (<i>P</i> = 0.002), and NMDA encephalitis showed contrast enhancement in five cases (<i>P</i> = 0.045). MRI was not useful for predicting short-term outcomes but was associated with long-term outcomes; specifically, a normal MRI was linked to a better long-term outcome in 47.8% of patients (<i>P</i> = 0.035), and resolution of abnormalities correlated with a favorable FIM score (>54) in 76.7% (<i>P</i> = 0.016).ConclusionMRI is valuable for early detection of seizures or dementia as initial manifestations of AIE and for differentiating AIE subtypes. Follow-up MRI is significant in predicting long-term outcomes.</p>","PeriodicalId":7143,"journal":{"name":"Acta radiologica","volume":"66 3","pages":"295-304"},"PeriodicalIF":1.1,"publicationDate":"2025-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143727139","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":"Infarct core segmentation using U-Net in CT perfusion imaging: a feasibility study.","authors":"Ching-Ching Yang, Shih-Sheng Chen","doi":"10.1177/02841851241305736","DOIUrl":"10.1177/02841851241305736","url":null,"abstract":"<p><p>BackgroundThe wide variability in thresholds on computed tomography (CT) perfusion parametric maps has led to controversy in the stroke imaging community about the most accurate measurement of core infarction.PurposeTo investigate the feasibility of using U-Net to perform infarct core segmentation in CT perfusion imaging.Material and MethodsCT perfusion parametric maps were the input of U-Net, while the ground truth segmentation was determined based on diffusion-weighted imaging (DWI). The dataset used in this study was from the ISLES2018 challenge, which contains 63 acute stroke patients receiving CT perfusion imaging and DWI within 8 h of stroke onset. The segmentation accuracy of model outputs was assessed by calculating Dice similarity coefficient (DSC), sensitivity, and intersection over union (IoU).ResultsThe highest DSC was observed in U-Net taking mean transit time (MTT) or time-to-maximum (Tmax) as input. Meanwhile, the highest sensitivity and IoU were observed in U-Net taking Tmax as input. A DSC in the range of 0.2-0.4 was found in U-Net taking Tmax as input when the infarct area contains < 1000 pixels. A DSC of 0.4-0.6 was found in U-Net taking Tmax as input when the infarct area contains 1000-1999 pixels. A DSC value of 0.6-0.8 was found in U-Net taking Tmax as input when the infarct area contains ≥ 2000 pixels.ConclusionOur model achieved good performance for infarct area containing ≥ 2000 pixels, so it may assist in identifying patients who are contraindicated for intravenous thrombolysis.</p>","PeriodicalId":7143,"journal":{"name":"Acta radiologica","volume":" ","pages":"245-255"},"PeriodicalIF":1.1,"publicationDate":"2025-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143021770","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":"Strategic approach to embolization of coronary to pulmonary artery fistulas: a technical note.","authors":"Michael Johannes Montag, Stefan Möhlenkamp, Martha von Dohna","doi":"10.1177/02841851241300332","DOIUrl":"10.1177/02841851241300332","url":null,"abstract":"<p><p>BackgroundCongenital coronary artery to pulmonary artery fistulas (CPAFs) are extremely rare congenital vascular malformations.PurposeTo give a practical approach and consider technical challenges and pitfalls for endovascular embolization of CPAF.Material and MethodsAnatomic, technical, and pathophysiologic considerations are given and demonstrated for antegrade and retrograde endovascular embolization of CPAF.ResultsAntegrade embolization is easier to perform, saves radiation exposure, and is recommended especially in younger patients. In case of a single dominant feeder, antegrade embolization of this feeder might sufficiently treat the CPAF. Retrograde embolization from the pulmonary orifice is technically more challenging but leads to a complete and definite closure of the fistula in one single step.ConclusionPatient age and fistula configuration must be taken into consideration for appropriate treatment approach in CPAF. Prerequisite for successful embolization of CPAF is profound clinical and interventional experience, why we highly recommend to both plan and carry out embolization of CPAF as interdisciplinary procedure.</p>","PeriodicalId":7143,"journal":{"name":"Acta radiologica","volume":" ","pages":"290-294"},"PeriodicalIF":1.1,"publicationDate":"2025-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142833475","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":"YOLOv8 algorithm-aided detection of patellar instability or dislocation on knee joint MRI images.","authors":"Ting Li, Nadeer M Gharaibeh, Shanru Jia, Zierdi Qinaer, Saidaitiguli Aihemaiti, AiShengBaTi HaNaTe, Gang Wu","doi":"10.1177/02841851241300617","DOIUrl":"10.1177/02841851241300617","url":null,"abstract":"<p><p>BackgroundPatellar instability (PI) or patellar dislocation (PD) is challenging to diagnose accurately based on medical history and clinical manifestations alone. While X-ray, computed tomography (CT), and magnetic resonance imaging (MRI) are commonly employed for detecting PI or PD, computer vision has not yet been widely utilized for this purpose.PurposeTo explore the feasibility of computer vision, specifically the You Only Look Once (YOLO) algorithm, in identifying patellar instability or dislocation.Material and MethodsA total of 550 patients (190 diagnosed with patellar instability or dislocation) were divided into a training set (n = 360), validation set (n = 90), and external test set (n = 100). Four indicators were measured on transverse knee MRI scans to determine the presence of patellar instability, and 450 images were labeled using Labelme software. YOLO version 8 (YOLOv8) was refined using these labeled images and validated on 100 unlabeled images. The diagnostic accuracy of YOLOv8 was compared with that of a junior radiologist.ResultsThe sensitivity, specificity, and accuracy of the refined YOLO model and the junior radiologist were 62%, 97%, and 83%, and 62%, 82%, and 74%, respectively. Although the YOLO model demonstrated slightly higher accuracy, the difference did not reach statistical significance (<i>P</i> = 0.093). The YOLO model required approximately 14.01 ± 10.34 ms to interpret each image, significantly shorter than the 9.55 ± 2.39 s required by the radiologist (<i>P</i> < 0.001).ConclusionThe refined YOLOv8 model is not inferior to junior radiologists in identifying patellar instability or dislocation and offers a significantly faster interpretation time.</p>","PeriodicalId":7143,"journal":{"name":"Acta radiologica","volume":" ","pages":"264-268"},"PeriodicalIF":1.1,"publicationDate":"2025-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142833487","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 predictive factors for in-stent restenosis after interventional treatment of chronic carotid artery occlusion.","authors":"Song Pan, Yue-Zhou Cao, Chun Zhou, Zhenyu Jia, Lin-Bo Zhao, Hai-Bin Shi, Sheng Liu","doi":"10.1177/02841851241301114","DOIUrl":"10.1177/02841851241301114","url":null,"abstract":"<p><p>BackgroundIn-stent restenosis (ISR) is a potential severe complication that occurs in patients with severe carotid artery narrowing after carotid angioplasty and stent placement. However, this phenomenon has not been fully studied in the context of interventional treatment for chronic internal carotid artery occlusion (CICAO).PurposeTo quantify the ISR rate and identify the risk factors leading to this event.Material and MethodsThis study included 69 patients with symptomatic CICAO who underwent successful intravascular recanalization at our institution. Clinical information, outcomes, and prognosis of the patients were recorded. The related factors of ISR were analyzed through univariate and multivariate analysis.ResultsA total of 11 (15.9%) patients developed a significant ISR > 70% during the follow-up period. Among them, five patients with ISR experienced symptomatic restenosis. Our study found hyperlipidemia (<i>P</i> = 0.017), contralateral internal carotid artery occlusion (<i>P</i> = 0.041), and prolonged radiologic occlusion to recanalization time (<i>P</i> = 0.049) could contribute to the risk of ISR in patients with CICAO.ConclusionISR is not rare in patients with CICAO after successful intervention. Hyperlipidemia, contralateral ICA occlusion, and prolonged radiologic occlusion to recanalization time are the risk factors for ISR after treatment in patients with CICAO.</p>","PeriodicalId":7143,"journal":{"name":"Acta radiologica","volume":" ","pages":"256-263"},"PeriodicalIF":1.1,"publicationDate":"2025-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142891331","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}