Clinical radiology最新文献

{"title":"Radiomics across modalities: a comprehensive review of neurodegenerative diseases","authors":"M. Inglese ,&nbsp;A. Conti ,&nbsp;N. Toschi","doi":"10.1016/j.crad.2025.106921","DOIUrl":"10.1016/j.crad.2025.106921","url":null,"abstract":"<div><div>Radiomics allows extraction from medical images of quantitative features that are able to reveal tissue patterns that are generally invisible to human observers. Despite the challenges in visually interpreting radiomic features and the computational resources required to generate them, they hold significant value in downstream automated processing. For instance, in statistical or machine learning frameworks, radiomic features enhance sensitivity and specificity, making them indispensable for tasks such as diagnosis, prognosis, prediction, monitoring, image-guided interventions, and evaluating therapeutic responses. This review explores the application of radiomics in neurodegenerative diseases, with a focus on Alzheimer's disease, Parkinson's disease, Huntington's disease, and multiple sclerosis. While radiomics literature often focuses on magnetic resonance imaging (MRI) and computed tomography (CT), this review also covers its broader application in nuclear medicine, with use cases of positron emission tomography (PET) and single-photon emission computed tomography (SPECT) radiomics. Additionally, we review integrated radiomics, where features from multiple imaging modalities are fused to improve model performance. This review also highlights the growing integration of radiomics with artificial intelligence and the need for feature standardisation and reproducibility to facilitate its translation into clinical practice.</div></div>","PeriodicalId":10695,"journal":{"name":"Clinical radiology","volume":"85 ","pages":"Article 106921"},"PeriodicalIF":2.1,"publicationDate":"2025-04-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143885557","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Prognostic value of rotational mechanics derived from cardiac magnetic resonance (CMR)-feature tracking in light-chain cardiac amyloidosis and heart failure","authors":"Y. Zheng ,&nbsp;Y. Li ,&nbsp;J. Li ,&nbsp;K. Yang ,&nbsp;X. Chen ,&nbsp;K. Zhao ,&nbsp;W. Dong ,&nbsp;M. Lu ,&nbsp;R. Li ,&nbsp;S. Zhao","doi":"10.1016/j.crad.2025.106924","DOIUrl":"10.1016/j.crad.2025.106924","url":null,"abstract":"<div><h3>Aim</h3><div>Few studies exist on myocardial torsion mechanics in light-chain cardiac amyloidosis (AL-CA) and heart failure (HF). This study evaluated the prognostic utility of torsion mechanics in AL-CA and HF.</div></div><div><h3>Materials and Methods</h3><div>The data of 100 AL-CA and HF patients undergoing cardiovascular magnetic resonance (2011–2019) were retrospectively reviewed. Biventricular function, late gadolinium enhancement (LGE), and torsion mechanics parameters were analyzed. Primary endpoint was all-cause mortality.</div></div><div><h3>Results</h3><div>Sixty-six cardiac events occurred (66 deaths) during a mean follow-up of 16.7 months (IQR 4.7–45.9). Nonsurvivors exhibited greater relative LGE mass (47.2% vs 38.0%, P=0.032), and impaired torsional mechanics: torsion (0.88 deg/cm vs 1.88 deg/cm) and peak diastolic torsion rate (-6.9 deg/cm∗s vs -8.7 deg/cm∗s; both P &lt; 0.05). Receiver operating characteristic (ROC) analysis identified torsion≤ 1.0 deg/cm (AUC=0.70) as optimal threshold. Multivariable Cox analysis demonstrated torsion (HR=0.44, 95% CI: 0.23–0.83; P=0.011) and diastolic torsion rate (HR=0.87, 95% CI: 0.80–0.96; P=0.006) as independent predictors of all-cause mortality, providing incremental prognostic value over LGE mass (χ² improvement: 19.9-23.4; P &lt; 0.05).</div></div><div><h3>Conclusion</h3><div>Cardiac magnetic resonance (CMR)-derived torsion mechanics independently predict mortality in AL-CA and HF and enhance risk stratification beyond conventional markers (New York Heart Association [NYHA] functional class, LGE mass).</div></div>","PeriodicalId":10695,"journal":{"name":"Clinical radiology","volume":"87 ","pages":"Article 106924"},"PeriodicalIF":2.1,"publicationDate":"2025-04-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144253743","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Studying cognition impairment in patients with minimal hepatic encephalopathy through functional connectivity analysis: evidence from resting-state functional MRI","authors":"X. Yang ,&nbsp;W. Liu ,&nbsp;W. Ma ,&nbsp;M. Wang ,&nbsp;J. Zheng ,&nbsp;X. Ding ,&nbsp;X. Wang","doi":"10.1016/j.crad.2025.106922","DOIUrl":"10.1016/j.crad.2025.106922","url":null,"abstract":"<div><h3>Aim</h3><div>This study aimed to investigate functional connectivity (FC) alterations between the insula and other brain regions in minimal hepatic encephalopathy (MHE) patients and their association with cognitive deficits.</div></div><div><h3>Materials and Methods</h3><div>The study included 23 MHE patients and 25 healthy control (HC) individuals. All participants underwent resting-state functional magnetic resonanceimaging (fMRI), neuropsychological testing, and cognitive scale assessments. FC analysis was performed to investigate the connectivity between the insula and the whole brain in the context of MHE. <em>Pearson</em> correlation analysis was conducted to assess the association between changes in FC and cognitive scale scores.</div></div><div><h3>Results</h3><div>The HC and MHE groups showed significant differences in cognitive performance measures, such as the Number Connection Test-A (NCT-A), Digit symbol Test (DST), and Montreal Cognitive Assessment (MoCA) score (<em>P</em> &lt; 0.01). The MHE group demonstrated elevated FC between the right insula and the right superior frontal gyrus, right middle frontal gyrus, and right precentral gyrus compared with the HC group. Furthermore, the left insula showed increased FC with the left middle frontal gyrus and the right middle frontal gyrus (<em>P</em> &lt; 0.05, corrected). Notably, these changes in FC among MHE patients were significantly correlated with the MoCA score (<em>P</em> &lt; 0.05, corrected).</div></div><div><h3>Conclusion</h3><div>This study emphasises the FC alterations between the insula and the prefrontal cortex in MHE patients, which have a close association with cognitive functions. FC could potentially serve as a biomarker for diagnosing and assessing the severity of cognitive impairments in MHE.</div></div>","PeriodicalId":10695,"journal":{"name":"Clinical radiology","volume":"86 ","pages":"Article 106922"},"PeriodicalIF":2.1,"publicationDate":"2025-04-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143983703","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Prediction of PD-L1 expression in NSCLC patients using PET/CT radiomics and prognostic modelling for immunotherapy in PD-L1-positive NSCLC patients","authors":"M. Peng ,&nbsp;M. Wang ,&nbsp;X. Yang ,&nbsp;Y. Wang ,&nbsp;L. Xie ,&nbsp;W. An ,&nbsp;F. Ge ,&nbsp;C. Yang ,&nbsp;K. Wang","doi":"10.1016/j.crad.2025.106915","DOIUrl":"10.1016/j.crad.2025.106915","url":null,"abstract":"<div><h3>AIM</h3><div>To develop a positron emission tomography/computed tomography (PET/CT)-based radiomics model for predicting programmed cell death ligand 1 (PD-L1) expression in non-small cell lung cancer (NSCLC) patients and estimating progression-free survival (PFS) and overall survival (OS) in PD-L1-positive patients undergoing first-line immunotherapy.</div></div><div><h3>MATERIALS AND METHODS</h3><div>We retrospectively analysed 143 NSCLC patients who underwent pretreatment ¹⁸F-fluorodeoxyglucose (¹⁸F-FDG) PET/CT scans, of whom 86 were PD-L1-positive. Clinical data collected included gender, age, smoking history, Tumor-Node-Metastases (TNM) staging system, pathologic types, laboratory parameters, and PET metabolic parameters. Four machine learning algorithms—Bayes, logistic, random forest, and Supportsupport vector machine (SVM)—were used to build models. The predictive performance was validated using receiver operating characteristic (ROC) curves. Univariate and multivariate Cox analyses identified independent predictors of OS and PFS in PD-L1-positive expression patients undergoing immunotherapy, and a nomogram was created to predict OS.</div></div><div><h3>RESULTS</h3><div>A total of 20 models were built for predicting PD-L1 expression. The clinical combined PET/CT radiomics model based on the SVM algorithm performed best (area under curve for training and test sets: 0.914 and 0.877, respectively). The Cox analyses showed that smoking history independently predicted PFS. SUVmean, monocyte percentage and white blood cell count were independent predictors of OS, and the nomogram was created to predict 1-year, 2-year, and 3-year OS based on these three factors.</div></div><div><h3>CONCLUSION</h3><div>We developed PET/CT-based machine learning models to help predict PD-L1 expression in NSCLC patients and identified independent predictors of PFS and OS in PD-L1-positive patients receiving immunotherapy, thereby aiding precision treatment.</div></div>","PeriodicalId":10695,"journal":{"name":"Clinical radiology","volume":"86 ","pages":"Article 106915"},"PeriodicalIF":2.1,"publicationDate":"2025-04-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143942548","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"A magnetic resonance imaging (MRI)-based deep learning radiomics model predicts recurrence-free survival in lung cancer patients after surgical resection of brain metastases","authors":"B. Li ,&nbsp;H. Li ,&nbsp;J. Chen ,&nbsp;F. Xiao ,&nbsp;X. Fang ,&nbsp;R. Guo ,&nbsp;M. Liang ,&nbsp;Z. Wu ,&nbsp;J. Mao ,&nbsp;J. Shen","doi":"10.1016/j.crad.2025.106920","DOIUrl":"10.1016/j.crad.2025.106920","url":null,"abstract":"<div><h3>Aim</h3><div>To develop and validate a magnetic resonance imaging (MRI)-based deep learning radiomics model (DLRM) to predict recurrence-free survival (RFS) in lung cancer patients after surgical resection of brain metastases (BrMs).</div></div><div><h3>Materials and Methods</h3><div>A total of 215 lung cancer patients with BrMs confirmed by surgical pathology were retrospectively included in five centres, 167 patients were assigned to the training cohort, and 48 to the external test cohort. All patients underwent regular follow-up brain MRIs. Clinical and morphological MRI models for predicting RFS were built using univariate and multivariate Cox regressions, respectively. Handcrafted and deep learning (DL) signatures were constructed from BrMs pretreatment MR images using the least absolute shrinkage and selection operator (LASSO) method, respectively. A DLRM was established by integrating the clinical and morphological MRI predictors, handcrafted and DL signatures based on the multivariate Cox regression coefficients. The Harrell C-index, area under the receiver operating characteristic curve (AUC), and Kaplan–Meier's survival analysis were used to evaluate model performance.</div></div><div><h3>Results</h3><div>The DLRM showed satisfactory performance in predicting RFS and 6- to 18-month intracranial recurrence in lung cancer patients after BrMs resection, achieving a C-index of 0.79 and AUCs of 0.84–0.90 in the training set and a C-index of 0.74 and AUCs of 0.71–0.85 in the external test set. The DLRM outperformed the clinical model, morphological MRI model, handcrafted signature, DL signature, and clinical-morphological MRI model in predicting RFS (<em>P</em> &lt; 0.05). The DLRM successfully classified patients into high-risk and low-risk intracranial recurrence groups (<em>P</em> &lt; 0.001).</div></div><div><h3>Conclusion</h3><div>This MRI-based DLRM could predict RFS in lung cancer patients after surgical resection of BrMs.</div></div>","PeriodicalId":10695,"journal":{"name":"Clinical radiology","volume":"85 ","pages":"Article 106920"},"PeriodicalIF":2.1,"publicationDate":"2025-04-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143879105","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Differential practice of peer review and peer feedback between National Health Service (NHS) imaging departments and teleradiology companies; how big is the gap?","authors":"R. Balasubramaniam,&nbsp;K. Drinkwater,&nbsp;M. Beavon,&nbsp;R. Greenhalgh","doi":"10.1016/j.crad.2025.106919","DOIUrl":"10.1016/j.crad.2025.106919","url":null,"abstract":"<div><h3>AIM</h3><div>Assessing the performance of peer review (PR) and peer feedback (PF) within National Health Service (NHS) imaging departments (NIDs) and teleradiology companies (TRCs) within the United Kingdom.</div></div><div><h3>MATERIAL AND METHODS</h3><div>All NHS providers with a clinical radiology audit lead registered with the Royal College of Radiologists and the major TRCs that provided services within the UK were invited to participate via a questionnaire.</div></div><div><h3>RESULTS</h3><div>All 6 TRCs (6/6) and 73% (146/200) of NIDs responded. All 6 TRCs performed formal PR and apportioned time for the role. Only 14/146 (10%) NIDs undertook formal PR, of which 4/14 (29%) received no remuneration for the work. In comparison, most NIDs 120/146 (82%) performed informal PR, using methods like multidisciplinary team meetings (MDTM) which occurred in 113/146 (77%). Peer feedback was practised by 104/146 (71%) NIDs and 5/6 (83%) TRCs, but only 30% to 49% of NIDs and 33% of TRCs used the content for reflective notes or incorporated it within appraisal. Electronic PF was possible in 36/146 (25%) NIDs and 3/6 (50%) TRCs. A peer moderator was present in 35% of NIDs and 50% of TRCs.</div></div><div><h3>CONCLUSION</h3><div>Formal PR was performed by all TRCs but underutilised within NIDs, where it was poorly remunerated. NHS imaging departments relied more on informal methods of PR, such as MDTM. The majority of NIDs and TRCs performed PF; however, the educational benefits of integrating PF within reflection and appraisal were often not implemented. Information technology systems to provide contemporaneous PF and a peer moderator could improve engagement but weren't present in most departments.</div></div>","PeriodicalId":10695,"journal":{"name":"Clinical radiology","volume":"85 ","pages":"Article 106919"},"PeriodicalIF":2.1,"publicationDate":"2025-04-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143885551","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Deep learning for liver lesion segmentation and classification on staging CT scans of colorectal cancer patients: a multi-site technical validation study","authors":"U. Bashir ,&nbsp;C. Wang ,&nbsp;R. Smillie ,&nbsp;A.K. Rayabat Khan ,&nbsp;H. Tamer Ahmed ,&nbsp;K. Ordidge ,&nbsp;N. Power ,&nbsp;M. Gerlinger ,&nbsp;G. Slabaugh ,&nbsp;Q. Zhang","doi":"10.1016/j.crad.2025.106914","DOIUrl":"10.1016/j.crad.2025.106914","url":null,"abstract":"<div><h3>AIM</h3><div>To validate a liver lesion detection and classification model using staging computed tomography (CT) scans of colorectal cancer (CRC) patients.</div></div><div><h3>MATERIALS AND METHODS</h3><div>A UNet-based deep learning model was trained on 272 public liver tumour CT scans and tested on 220 CRC staging CTs acquired from a single institution (2014–2019). Performance metrics included lesion detection rates by size (&lt;10 mm, 10–20 mm, &gt;20 mm), segmentation accuracy (dice similarity coefficient, DSC), volume measurement agreement (Bland–Altman limits of agreement, LOAs; intraclass correlation coefficient, ICC), and classification accuracy (malignant vs benign) at patient and lesion levels (detected lesions only).</div></div><div><h3>RESULTS</h3><div>The model detected 743 out of 884 lesions (84%), with detection rates of 75%, 91.3%, and 96% for lesions &lt;10 mm, 10–20 mm, and &gt;20 mm, respectively. The median DSC was 0.76 (95% CI: 0.72–0.80) for lesions &lt;10 mm, 0.83 (95% CI: 0.79–0.86) for 10–20 mm, and 0.85 (95% CI: 0.82–0.88) for &gt;20 mm. Bland–Altman analysis showed a mean volume bias of -0.12 cm³ (LOAs: -1.68 to +1.43 cm³), and ICC was 0.81. Lesion-level classification showed 99.5% sensitivity, 65.7% specificity, 53.8% positive predictive value (PPV), 99.7% negative predictive value (NPV), and 75.4% accuracy. Patient-level classification had 100% sensitivity, 27.1% specificity, 59.2% PPV, 100% NPV, and 64.5% accuracy.</div></div><div><h3>CONCLUSION</h3><div>The model demonstrates strong lesion detection and segmentation performance, particularly for sub-centimetre lesions. Although classification accuracy was moderate, the 100% NPV suggests strong potential as a CRC staging screening tool. Future studies will assess its impact on radiologist performance and efficiency.</div></div>","PeriodicalId":10695,"journal":{"name":"Clinical radiology","volume":"85 ","pages":"Article 106914"},"PeriodicalIF":2.1,"publicationDate":"2025-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143906170","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Local anaesthetics in interventional radiology: a primer for radiologists on applications and management of complications","authors":"J. Steinman ,&nbsp;K.T. Tan","doi":"10.1016/j.crad.2025.106917","DOIUrl":"10.1016/j.crad.2025.106917","url":null,"abstract":"<div><div>Local anaesthetics (LAs) allow a range of procedures to be performed in interventional radiology (IR) through improving patient comfort and reducing pain. This review serves as a primer for interventional radiologists, providing an overview of commonly used LAs and practical tips for their implementation. With its quick onset time and moderate duration of action, the amide lidocaine is the most used and applicable to a variety of procedures such as biopsies and embolization. In contrast, bupivacaine and ropivacaine (both amides) have longer durations of action, and are therefore suitable for lengthy procedures and pain control post-procedurally. Procaine, an ester, may be used in cases of amide anaesthetic allergies. This review examines the clinical applications of LAs in radiology and management of their adverse effects including local anaesthetic systemic toxicity (LAST) and allergic reactions. It concludes with a discussion of LAST, emphasising techniques for early intervention and management. The role of lipid emulsion therapy and modifications to the advanced cardiac life support (ACLS) protocol are highlighted, including a discussion of other aspects such as airway management. By presenting the latest strategies to manage LAST and adverse effects, this research aims to help standardise anaesthetic management in radiology. It provides actionable steps for selecting and injecting anaesthetics, and management of complications that will be beneficial for interventional radiologists performing a diverse array of procedures.</div></div>","PeriodicalId":10695,"journal":{"name":"Clinical radiology","volume":"85 ","pages":"Article 106917"},"PeriodicalIF":2.1,"publicationDate":"2025-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143882295","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Nonrigid temporal registration of multiphase CT pulmonary angiography using low-kV and low contrast: a feasibility study with dual-source CT","authors":"Q.-H. Zhang ,&nbsp;S.-S. Lin ,&nbsp;X. Zhao ,&nbsp;Z. Qin ,&nbsp;H. Ge ,&nbsp;J.-X. Qian ,&nbsp;Y.-C. Wang","doi":"10.1016/j.crad.2025.106916","DOIUrl":"10.1016/j.crad.2025.106916","url":null,"abstract":"<div><h3>Aim</h3><div>This study aimed to compare the nonrigid temporal registration of multiphase computed tomography pulmonary angiography (CTPA) with single-phase CTPA in terms of radiation dose, contrast agent usage, objective and subjective image quality.</div></div><div><h3>Materials and Methods</h3><div>Consecutive patients suspected of acute pulmonary embolism were prospectively included in this study, and randomly received multiphase or single-phase CTPA. Regarding the contrast media, 15 mL was applied in the multiphase CTPA in comparison with 40 mL applied in the single-phase CTPA. Temporal registration was performed for multiphase CTPA during post-processing. Two experienced radiologists independently evaluated the image quality (IQ) based on objective measurements, subjective impression and diagnostic confidence. Patient demographics, scan parameters and image quality were compared between the two groups.</div></div><div><h3>Results</h3><div>A total of 72 patients were analysed (37 multiphase CTPA and 35 single-phase CTPA). Positive pulmonary embolism was confirmed in five and seven patients, respectively. The two patient groups had similar demographics besides older age in those who underwent single-phase CTPA. Radiation dose and the contrast-to-noise ratio (CNR) were also similar between groups except for the CNR in the right main pulmonary artery. Both readers rated the multiphase CTPA with a statistically superior subjective IQ over the single-phase CTPA. The diagnostics confidence of the two CTPA protocols was similarly rated by one reader and slightly different according to the second reader.</div></div><div><h3>Conclusion</h3><div>The nonrigid temporal registration of multiphase CT pulmonary angiography could offer similar or even better image quality than the single-phase protocol and significantly reduce the amount of contrast usage.</div></div>","PeriodicalId":10695,"journal":{"name":"Clinical radiology","volume":"85 ","pages":"Article 106916"},"PeriodicalIF":2.1,"publicationDate":"2025-03-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143865073","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Increased cerebral hemodynamics during the interictal period of migraine and the association with migraine features","authors":"Y. Liu ,&nbsp;A. Sun ,&nbsp;Y. Zhang ,&nbsp;B. Wang ,&nbsp;X. Kuang ,&nbsp;F. Dai ,&nbsp;H. Wang ,&nbsp;J. Ding ,&nbsp;X. Wang","doi":"10.1016/j.crad.2025.106918","DOIUrl":"10.1016/j.crad.2025.106918","url":null,"abstract":"<div><h3>Aim</h3><div>To detect cerebral hemodynamic changes in migraine’s interictal period using 4D flow magnetic resonance imaging (MRI) and explore the relationships between altered hemodynamics and migraine features.</div></div><div><h3>Materials and Methods</h3><div>Twenty-five patients (29 ± 4 years, 22 female) with migraine in the interictal period and twenty-five healthy controls (28 ± 4 years, 20 female) were consecutively enrolled. Migraine features including frequency, duration of migraine history, pain side and degree were collected in migraineurs. 4D flow MRI scan was performed for all subjects. Cross-sectional area, peak systolic through-plane velocity (PSV), average through-plane velocity (V_avg), average blood flow rate (Flow_avg), and average wall shear stress (WSS_avg) in the bilateral middle cerebral artery (MCA) and the posterior cerebral artery (PCA) were measured. Pulsatility index (PI) was calculated from the maximum, minimum and average blood flow velocity. The hemodynamic differences of MCA and PCA in migraineurs and controls were investigated. The relationships between hemodynamic changes and migraine features were further explored.</div></div><div><h3>Results</h3><div>Increased PSV, V_avg and Flow_avg in the MCA, as well as elevated V_avg, Flow_avg and WSS_avg in the PCA, were found among migraine patients. Flow_avg of PCA was significantly correlated with the duration of migraine history (r = 0.46, <em>P</em> = 0.02).</div></div><div><h3>Conclusion</h3><div>Cerebral hemodynamics is significantly elevated in migraineurs during the interictal period of migraine. Notably, the Flow_avg in the PCA is associated with the duration of migraine history.</div></div>","PeriodicalId":10695,"journal":{"name":"Clinical radiology","volume":"85 ","pages":"Article 106918"},"PeriodicalIF":2.1,"publicationDate":"2025-03-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143885556","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}