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Diagnostic and Interventional Imaging最新文献

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Impact factor, first quartile, CiteScore and other metrics 影响因子、第一四分位数、CiteScore 和其他指标。
IF 4.9 2区 医学 Q1 RADIOLOGY, NUCLEAR MEDICINE & MEDICAL IMAGING Pub Date : 2024-09-01 DOI: 10.1016/j.diii.2024.07.007
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引用次数: 0
Molecular imaging for non-invasive risk stratification of renal masses 用于肾肿块无创风险分层的分子成像。
IF 4.9 2区 医学 Q1 RADIOLOGY, NUCLEAR MEDICINE & MEDICAL IMAGING Pub Date : 2024-09-01 DOI: 10.1016/j.diii.2024.07.003

Anatomic imaging with contrast-enhanced computed tomography (CT) and magnetic resonance imaging (MRI) has long been the mainstay of renal mass characterization. However, those modalities are often unable to adequately characterize indeterminate, solid, enhancing renal masses – with some exceptions, such as the development of the clear-cell likelihood score on multi-parametric MRI. As such, molecular imaging approaches have gained traction as an alternative to anatomic imaging. Mitochondrial imaging with 99mTc-sestamibi single-photon emission computed tomography/CT is a cost-effective means of non-invasively identifying oncocytomas and other indolent renal masses. On the other end of the spectrum, carbonic anhydrase IX agents, most notably the monoclonal antibody girentuximab – which can be labeled with positron emission tomography radionuclides such as zirconium-89 – are effective at identifying renal masses that are likely to be aggressive clear cell renal cell carcinomas. Renal mass biopsy, which has a relatively high non-diagnostic rate and does not definitively characterize many oncocytic neoplasms, nonetheless may play an important role in any algorithm targeted to renal mass risk stratification. The combination of molecular imaging and biopsy in selected patients with other advanced imaging methods, such as artificial intelligence/machine learning and the abstraction of radiomics features, offers the optimal way forward for maximization of the information to be gained from risk stratification of indeterminate renal masses. With the proper application of those methods, inappropriately aggressive therapy for benign and indolent renal masses may be curtailed.

长期以来,造影剂增强计算机断层扫描(CT)和磁共振成像(MRI)的解剖成像一直是肾脏肿块定性的主要方法。然而,这些方法往往无法充分描述不确定、实性、增强型肾肿块的特征--除了一些例外情况,如在多参数核磁共振成像上发展出透明细胞可能性评分。因此,分子成像方法作为解剖成像的替代方法受到了越来越多的关注。使用 99mTc-sestamibi 单光子发射计算机断层扫描/CT 进行线粒体成像是一种经济有效的非侵入性方法,可用于识别肿瘤细胞瘤和其他不显性肾肿块。另一方面,碳酸酐酶 IX 药剂,尤其是单克隆抗体吉伦妥昔单抗(可标记正电子发射断层扫描放射性核素,如锆-89),可有效识别可能是侵袭性透明细胞肾细胞癌的肾肿块。肾肿块活检的非诊断率相对较高,而且不能确定许多肿瘤细胞瘤的特征,但在任何针对肾肿块风险分层的算法中都可能发挥重要作用。在选定的患者中将分子成像和活检与其他先进的成像方法(如人工智能/机器学习和放射组学特征抽象)相结合,为最大限度地从不确定性肾肿块风险分层中获取信息提供了最佳途径。通过正确应用这些方法,可以减少对良性和隐匿性肾肿块不适当的积极治疗。
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引用次数: 0
CT, MRI and PET/CT of adrenal schwannoma 肾上腺裂孔瘤的 CT、MRI 和 PET/CT。
IF 4.9 2区 医学 Q1 RADIOLOGY, NUCLEAR MEDICINE & MEDICAL IMAGING Pub Date : 2024-08-01 DOI: 10.1016/j.diii.2024.07.006
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引用次数: 0
Detection and characterization of pancreatic lesion with artificial intelligence: The SFR 2023 artificial intelligence data challenge 利用人工智能检测和描述胰腺病变:SFR 2023 人工智能数据挑战赛。
IF 4.9 2区 医学 Q1 RADIOLOGY, NUCLEAR MEDICINE & MEDICAL IMAGING Pub Date : 2024-07-23 DOI: 10.1016/j.diii.2024.07.002

Purpose

The purpose of the 2023 SFR data challenge was to invite researchers to develop artificial intelligence (AI) models to identify the presence of a pancreatic mass and distinguish between benign and malignant pancreatic masses on abdominal computed tomography (CT) examinations.

Materials and methods

Anonymized abdominal CT examinations acquired during the portal venous phase were collected from 18 French centers. Abdominal CT examinations were divided into three groups including CT examinations with no lesion, CT examinations with benign pancreatic mass, or CT examinations with malignant pancreatic mass. Each team included at least one radiologist, one data scientist, and one engineer. Pancreatic lesions were annotated by expert radiologists. CT examinations were distributed in balanced batches via a Health Data Hosting certified platform. Data were distributed into four batches, two for training, one for internal evaluation, and one for the external evaluation. Training used 83 % of the data from 14 centers and external evaluation used data from the other four centers. The metric (i.e., final score) used to rank the participants was a weighted average of mean sensitivity, mean precision and mean area under the curve.

Results

A total of 1037 abdominal CT examinations were divided into two training sets (including 500 and 232 CT examinations), an internal evaluation set (including 139 CT examinations), and an external evaluation set (including 166 CT examinations). The training sets were distributed on September 7 and October 13, 2023, and evaluation sets on October 15, 2023. Ten teams with a total of 93 members participated to the data challenge, with the best final score being 0.72.

Conclusion

This SFR 2023 data challenge based on multicenter CT data suggests that the use of AI for pancreatic lesions detection is possible on real data, but the distinction between benign and malignant pancreatic lesions remains challenging.
目的:2023 年 SFR 数据挑战的目的是邀请研究人员开发人工智能(AI)模型,以识别腹部计算机断层扫描(CT)检查中是否存在胰腺肿块并区分良性和恶性胰腺肿块:从法国 18 个中心收集了门静脉期采集的匿名腹部 CT 检查结果。腹部 CT 检查分为三组,包括无病变的 CT 检查、良性胰腺肿块的 CT 检查或恶性胰腺肿块的 CT 检查。每个小组至少包括一名放射科医生、一名数据科学家和一名工程师。胰腺病变由放射科专家标注。CT 检查数据通过健康数据托管认证平台均衡分批分发。数据分为四批,两批用于培训,一批用于内部评估,一批用于外部评估。培训使用了来自 14 个中心的 83% 的数据,外部评估使用了来自其他四个中心的数据。对参与者进行排名的指标(即最终得分)是平均灵敏度、平均精确度和平均曲线下面积的加权平均值:总共 1037 例腹部 CT 检查被分为两个训练集(包括 500 例和 232 例 CT 检查)、一个内部评估集(包括 139 例 CT 检查)和一个外部评估集(包括 166 例 CT 检查)。训练集于 2023 年 9 月 7 日和 10 月 13 日分发,评估集于 2023 年 10 月 15 日分发。10 个团队共 93 名成员参加了数据挑战赛,最终最好成绩为 0.72.Conclusion:这项基于多中心 CT 数据的 SFR 2023 数据挑战赛表明,在真实数据中使用人工智能检测胰腺病变是可行的,但区分胰腺良性病变和恶性病变仍具有挑战性。
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引用次数: 0
The role of MR imaging in ovarian tumor risk stratification 磁共振成像在卵巢肿瘤风险分层中的作用。
IF 4.9 2区 医学 Q1 RADIOLOGY, NUCLEAR MEDICINE & MEDICAL IMAGING Pub Date : 2024-07-22 DOI: 10.1016/j.diii.2024.07.001
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引用次数: 0
When artificial intelligence meets photon-counting coronary CT angiography to reduce the need for invasive coronary angiography in TAVR candidates 当人工智能遇上光子计数冠状动脉 CT 血管造影术,可减少 TAVR 候选者对侵入性冠状动脉造影术的需求。
IF 4.9 2区 医学 Q1 RADIOLOGY, NUCLEAR MEDICINE & MEDICAL IMAGING Pub Date : 2024-07-01 DOI: 10.1016/j.diii.2024.02.007
Farah Cadour, Jean-Nicolas Dacher
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引用次数: 0
4D flow cardiac MRI to assess pulmonary blood flow in patients with pulmonary arterial hypertension associated with congenital heart disease 4D 流式心脏磁共振成像评估先天性心脏病肺动脉高压患者的肺血流。
IF 4.9 2区 医学 Q1 RADIOLOGY, NUCLEAR MEDICINE & MEDICAL IMAGING Pub Date : 2024-07-01 DOI: 10.1016/j.diii.2024.01.009
Estibaliz Valdeolmillos , Hichem Sakhi , Marine Tortigue , Marion Audié , Marc-Antoine Isorni , Florence Lecerf , Olivier Sitbon , David Montani , Xavier Jais , Laurent Savale , Marc Humbert , Arshid Azarine , Sébastien Hascoët

Purpose

The purpose of this study was to evaluate the accuracy of four-dimensional flow cardiac magnetic resonance imaging (4D flow MRI) compared to right heart catheterization in measuring pulmonary flow (Qp), systemic flow (Qs) and pulmonary-to-systemic flow ratio (Qp/Qs) in patients with pulmonary arterial hypertension associated with congenital heart disease (PAH-CHD).

Materials and methods

The study was registered on Clinical-trial.gov (NCT03928002). Sixty-four patients with PAH-CHD who underwent 4D flow MRI were included. There were 16 men and 48 women with a mean age of 45.3 ± 13.7 (standard deviation [SD]) years (age range: 21–77 years). Fifty patients (50/64; 78%) presented with pre-tricuspid shunt. Qp (L/min), Qs (L/min) and Qp/Qs were measured invasively using direct Fick method during right heart catheterization and compared with measurements assessed by 4D flow MRI within a 24–48-hour window.

Results

The average mean pulmonary artery pressure was 51 ± 17 (SD) mm Hg with median pulmonary vascular resistance of 8.8 Wood units (Q1, Q3: 5.3, 11.7). A strong linear correlation was found between Qp measurements obtained with 4D flow MRI and those obtained with the Fick method (r = 0.96; P < 0.001). Bland Altman analysis indicated a mean difference of 0.15 ± 0.48 (SD) L/min between Qp estimated by 4D flow MRI and by right heart catheterization. A strong correlation was found between Qs and Qp/Qs measured by 4D flow MRI and those obtained with the direct Fick method (r = 0.85 and r = 0.92; P < 0.001 for both).

Conclusion

Qp as measured by 4D flow MRI shows a strong correlation with measurements derived from the direct Fick method. Further investigation is needed to develop less complex and standardized methods for measuring essential PAH parameters, such as pulmonary arterial pressures and pulmonary vascular resistance.

目的:本研究旨在评估四维血流心脏磁共振成像(4D flow MRI)与右心导管检查相比,在测量肺动脉高压伴先天性心脏病(PAH-CHD)患者的肺血流(Qp)、全身血流(Qs)和肺-全身血流比(Qp/Qs)方面的准确性:该研究已在 Clinical-trial.gov (NCT03928002) 上注册。研究纳入了 64 名接受 4D 血流 MRI 检查的 PAH-CHD 患者。其中男性 16 人,女性 48 人,平均年龄为 45.3 ± 13.7(标准差 [SD])岁(年龄范围:21-77 岁)。50名患者(50/64;78%)出现三尖瓣前分流。在右心导管检查过程中采用直接费克法对 Qp(升/分)、Qs(升/分)和 Qp/Qs 进行了有创测量,并与 24-48 小时内通过四维血流磁共振成像评估的测量结果进行了比较:平均肺动脉压为 51 ± 17 (SD) mm Hg,中位肺血管阻力为 8.8 Wood 单位(Q1, Q3: 5.3, 11.7)。四维血流磁共振成像获得的 Qp 测量值与菲克法获得的 Qp 测量值之间存在很强的线性相关(r = 0.96;P < 0.001)。Bland Altman 分析表明,四维血流磁共振成像和右心导管检查估测的 Qp 平均相差 0.15 ± 0.48 (SD) 升/分钟。四维血流磁共振成像测量的 Qs 和 Qp/Qs 与直接 Fick 法测量的 Qs 和 Qp/Qs 之间存在很强的相关性(r = 0.85 和 r = 0.92;两者的 P < 0.001):结论:四维血流磁共振成像测得的 Qp 与直接菲克法测得的结果有很强的相关性。需要进一步研究,开发出不那么复杂且标准化的方法来测量 PAH 重要参数,如肺动脉压和肺血管阻力。
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引用次数: 0
More evidence to support greater use of 4D flow cardiac MRI 更多证据支持更广泛地使用 4D 流式心脏 MRI。
IF 4.9 2区 医学 Q1 RADIOLOGY, NUCLEAR MEDICINE & MEDICAL IMAGING Pub Date : 2024-07-01 DOI: 10.1016/j.diii.2024.02.014
David A Bluemke , Nadine Kawel-Boehm
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引用次数: 0
Improved image quality and abdominal lesion detection with photon-counting CT compared to dual-source CT: New evidence from a phantom study 与双源 CT 相比,光子计数 CT 提高了图像质量和腹部病灶检测能力:一项模型研究提供的新证据。
IF 4.9 2区 医学 Q1 RADIOLOGY, NUCLEAR MEDICINE & MEDICAL IMAGING Pub Date : 2024-07-01 DOI: 10.1016/j.diii.2024.06.008
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引用次数: 0
Dual-energy CT: Bridging the gap between innovation and clinical practice 双能 CT:弥合创新与临床实践之间的差距。
IF 4.9 2区 医学 Q1 RADIOLOGY, NUCLEAR MEDICINE & MEDICAL IMAGING Pub Date : 2024-07-01 DOI: 10.1016/j.diii.2024.02.011
Paul Calame , Sébastien Mulé
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引用次数: 0
期刊
Diagnostic and Interventional Imaging
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