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Using regadenoson for stress first-pass perfusion cardiac MR imaging: How, when, and why? 使用regadenonson进行心脏应激首过灌注磁共振成像:如何,何时,为什么?
IF 8.1 2区 医学 Q1 RADIOLOGY, NUCLEAR MEDICINE & MEDICAL IMAGING Pub Date : 2026-01-10 DOI: 10.1016/j.diii.2026.01.001
Bon-Marin Mulot, Hajer Chennoufi, Matthieu Demeyere, Sara Boccalini, Jean-Nicolas Dacher

Cardiac magnetic resonance imaging (MRI) is a valuable tool for ruling out coronary artery disease, assessing cardiac viability, diagnosing myocardial ischemia, and providing prognostic information. Cardiac MRI, including vasodilator-induced first-pass perfusion imaging, is recommended for patients with a high probability of coronary disease, prior to revascularization, and when a viability assessment is necessary. Adenosine is the most commonly used vasodilating agent for stress cardiac MRI worldwide. However, regadenoson, which is an adenosine A2A receptor agonist, is a highly suitable alternative for stress cardiac MRI due to its kinetic properties, ease of use, single-dose administration, limited contraindications, and prognostic value. This technical note describes the characteristics and safety profile of regadenoson and discusses its application to cardiac MRI and reimbursement issues.

心脏磁共振成像(MRI)是排除冠状动脉疾病、评估心脏活力、诊断心肌缺血和提供预后信息的宝贵工具。心脏MRI,包括血管扩张剂诱导的第一次灌注成像,推荐给冠状动脉疾病的高概率患者,在血运重建术之前,当生存能力评估是必要的。腺苷是世界范围内最常用的血管舒张剂。然而,regadenoson是一种腺苷A2A受体激动剂,由于其动力学特性、易于使用、单剂量给药、有限的禁忌症和预后价值,是一种非常适合用于应激心脏MRI的替代品。本技术说明描述了regadenoson的特点和安全性,并讨论了其在心脏MRI和报销问题上的应用。
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引用次数: 0
Toward personalized and biodegradable endovascular materials: Redefining vascular therapy. 迈向个性化和可生物降解的血管内材料:重新定义血管治疗。
IF 8.1 2区 医学 Q1 RADIOLOGY, NUCLEAR MEDICINE & MEDICAL IMAGING Pub Date : 2026-01-08 DOI: 10.1016/j.diii.2025.12.007
Tom Boeken, Julien Frandon
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引用次数: 0
Percutaneous screw fixation using cone-beam computed tomography navigation: A new standard of care for the treatment of traumatic pelvic fractures. 锥束计算机断层导航经皮螺钉固定:创伤性骨盆骨折治疗的新护理标准。
IF 8.1 2区 医学 Q1 RADIOLOGY, NUCLEAR MEDICINE & MEDICAL IMAGING Pub Date : 2026-01-07 DOI: 10.1016/j.diii.2025.12.005
Roberto Luigi Cazzato, Afshin Gangi
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引用次数: 0
CT and MR imaging features of periosteal chondrosarcoma 骨膜软骨肉瘤的CT和MR影像特征。
IF 8.1 2区 医学 Q1 RADIOLOGY, NUCLEAR MEDICINE & MEDICAL IMAGING Pub Date : 2026-01-07 DOI: 10.1016/j.diii.2025.12.004
Marie Pauline Talabard , Virginie Audard , David Biau
{"title":"CT and MR imaging features of periosteal chondrosarcoma","authors":"Marie Pauline Talabard ,&nbsp;Virginie Audard ,&nbsp;David Biau","doi":"10.1016/j.diii.2025.12.004","DOIUrl":"10.1016/j.diii.2025.12.004","url":null,"abstract":"","PeriodicalId":48656,"journal":{"name":"Diagnostic and Interventional Imaging","volume":"107 2","pages":"Pages 83-84"},"PeriodicalIF":8.1,"publicationDate":"2026-01-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145935382","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Photon-counting CT: A game changer in pediatric CT. 光子计数CT:儿童CT的游戏规则改变者。
IF 8.1 2区 医学 Q1 RADIOLOGY, NUCLEAR MEDICINE & MEDICAL IMAGING Pub Date : 2026-01-03 DOI: 10.1016/j.diii.2025.12.003
Joël Greffier, Djamel Dabli
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引用次数: 0
Deep learning-based image reconstruction best contributes to image quality enhancement under close expert supervision. 在密切的专家监督下,基于深度学习的图像重建最有助于图像质量的提高。
IF 8.1 2区 医学 Q1 RADIOLOGY, NUCLEAR MEDICINE & MEDICAL IMAGING Pub Date : 2026-01-03 DOI: 10.1016/j.diii.2025.12.006
Lotfi Hacein-Bey
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引用次数: 0
Transarterial radioembolization challenges immunotherapy as first-line care for hepatocellular carcinoma with portal vein tumor thrombosis 经动脉放射栓塞挑战免疫治疗作为肝细胞癌门静脉肿瘤血栓形成的一线护理。
IF 8.1 2区 医学 Q1 RADIOLOGY, NUCLEAR MEDICINE & MEDICAL IMAGING Pub Date : 2026-01-01 DOI: 10.1016/j.diii.2025.09.005
Anna Pellat , Maxime Barat
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引用次数: 0
Beyond coronary artery anatomy: Myocardial characterization by photon-counting detector CT in hypertrophic cardiomyopathy 冠状动脉外解剖:肥厚性心肌病的光子计数检测器CT心肌表征。
IF 8.1 2区 医学 Q1 RADIOLOGY, NUCLEAR MEDICINE & MEDICAL IMAGING Pub Date : 2026-01-01 DOI: 10.1016/j.diii.2025.10.001
Farah Cadour , Victor Mergen , Gilles Soulat
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引用次数: 0
Photon-counting CT myocardial extracellular volume: A non-invasive biomarker for fibrosis in patients with hypertrophic cardiomyopathy 光子计数CT心肌细胞外体积:肥厚性心肌病患者纤维化的非侵入性生物标志物。
IF 8.1 2区 医学 Q1 RADIOLOGY, NUCLEAR MEDICINE & MEDICAL IMAGING Pub Date : 2026-01-01 DOI: 10.1016/j.diii.2025.09.001
Christos Gkizas , Benjamin Longere , Saad Bechrouri , Helene Ridon , Aimee Rodriguez Musso , Mehdi Haidar , Cedric Croisille , David Montaigne , Pascal De Groote , Francois Pontana

Purpose

The purpose of this study was to evaluate the diagnostic performance of myocardial extracellular volume (ECV) quantification using dual-source photon-counting detector computed tomography (PCCT) compared to cardiac magnetic resonance imaging (MRI) for assessing the severity of myocardial fibrosis in patients with hypertrophic cardiomyopathy (HCM).

Materials and methods

Patients with HCM due to sarcomere mutations underwent cardiac computed tomography angiography (CCTA) using a first-generation PCCT scanner, followed by comprehensive cardiac MRI. The CCTA protocol included a late iodine enhancement acquisition in spectral mode, 5 min after contrast media injection. ECV was calculated from the iodine ratio of the myocardium and blood pool on late iodine enhancement PCCT images. Cardiac MRI biomarkers included T1 mapping, ECV, and late gadolinium enhancement percentage (LGE). Diagnostic capabilities of PCCT were estimated using sensitivity, specificity, accuracy, interobserver agreement for myocardial fibrosis, area under the receiver operating characteristic curve (AUC) analyses for optimal thresholds, and correlations between tissue characteristics, functional capacity, and biomarkers.

Results

Thirty patients were retrospectively included. There were 22 men and eight women with a mean age of 59 ± 13.8 (standard deviation [SD]). The mean dose length product of late enhancement PCCT scanning was 105 ± 45 (SD) mGy.cm. No significant differences were found between global PCCT-derived ECV (30.0 ± 4.8 [SD] %) and MRI-derived ECV (30.62 ± 4.2 [SD] %) (P = 0.59). Linear regression revealed a strong segmental correlation between PCCT and MRI (basal, r = 0.89; mid-ventricular, r = 0.85; apical, r = 0.85; P < 0.001). An optimal PCCT-derived ECV threshold of 33.4 % allowed the diagnosis of LGE ≥ 15 % with 80 % sensitivity, 76 % specificity, and an AUC of 0.77, not significantly different from MRI-derived ECV (threshold 33.9 %; sensitivity, 80 %; specificity, 76 %, AUC, 0.80; P = 0.176). PCCT-derived ECV correlated with peak VO₂ (r = -0.76) and NT-proBNP levels (r = 0.59).

Conclusion

PCCT-derived ECV shows promise for quantifying myocardial fibrosis in HCM, offering a valuable non-invasive alternative to cardiac MRI, especially for patients with contraindications or those requiring combined CCTA and myocardial assessment.
目的:本研究的目的是评估使用双源光子计数检测器计算机断层扫描(PCCT)的心肌细胞外体积(ECV)定量诊断与心脏磁共振成像(MRI)评估肥厚性心肌病(HCM)患者心肌纤维化严重程度的诊断性能。材料和方法:由肌瘤突变引起的HCM患者使用第一代PCCT扫描仪进行心脏计算机断层血管造影(CCTA),然后进行全面的心脏MRI。CCTA方案包括在注射造影剂后5分钟,在光谱模式下获得晚期碘增强。根据晚期碘增强PCCT图像心肌与血池的碘比值计算ECV。心脏MRI生物标志物包括T1定位、ECV和晚期钆增强百分比(LGE)。通过敏感性、特异性、准确性、心肌纤维化的观察者间一致性、最佳阈值的受试者工作特征曲线下面积(AUC)分析以及组织特征、功能容量和生物标志物之间的相关性来评估PCCT的诊断能力。结果:回顾性纳入30例患者。男性22例,女性8例,平均年龄59±13.8岁(标准差[SD])。PCCT晚期增强扫描的平均剂量长度积为105±45 (SD) mg .cm。pcct来源的ECV(30.0±4.8 [SD] %)与mri来源的ECV(30.62±4.2 [SD] %)之间无显著差异(P = 0.59)。线性回归显示PCCT与MRI之间有很强的节段相关性(基底,r = 0.89;中心室,r = 0.85;根尖,r = 0.85; P < 0.001)。pcct衍生ECV的最佳阈值为33.4%,可诊断LGE≥15%,敏感性为80%,特异性为76%,AUC为0.77,与mri衍生ECV无显著差异(阈值33.9%,敏感性为80%,特异性为76%,AUC为0.80,P = 0.176)。pcct衍生的ECV与峰值VO 2 (r = -0.76)和NT-proBNP水平(r = 0.59)相关。结论:pcct衍生的ECV显示了量化HCM心肌纤维化的前景,为心脏MRI提供了一种有价值的无创替代方案,特别是对于有禁忌症或需要联合CCTA和心肌评估的患者。
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引用次数: 0
Pancreatic acinar cell carcinoma with mixed CT findings 胰腺腺泡细胞癌,CT表现混杂。
IF 8.1 2区 医学 Q1 RADIOLOGY, NUCLEAR MEDICINE & MEDICAL IMAGING Pub Date : 2026-01-01 DOI: 10.1016/j.diii.2025.11.011
Emma Canniff , Benoit Terris , Catherine Brezault
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引用次数: 0
期刊
Diagnostic and Interventional Imaging
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