甲状旁腺腺瘤和甲状腺在多期4DCT上的相对灌注差异

IF 3.3 Q2 ENGINEERING, BIOMEDICAL
S. Raeymaeckers, Yannick De Brucker, Maurizio Tosi, N. Buls, J. Mey
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引用次数: 1

摘要

多期4DCT技术可用于甲状旁腺瘤的检测。使用宽束轴向扫描可以在不显著增加暴露剂量的情况下获得多达16个不同的相位。该技术还可以计算疑似病变的灌注参数。我们报告了19例经组织学证实的甲状旁腺瘤患者的资料。当比较甲状旁腺腺瘤和甲状腺组织时,我们发现两个灌注参数之间有很强的相关性:与正常甲状腺组织相比,甲状旁腺瘤的血流量(BF)增加55% (p < 0.001),血容量(BV)增加50% (p < 0.001)。不同灌注参数的ROC曲线分析显示BF和BV的曲线下面积明显高,证实这两个灌注参数可能是区分甲状旁腺瘤和甲状腺组织的鉴别工具。这些发现有助于从甲状腺组织中区分甲状旁腺,并可能有助于甲状旁腺瘤的检测。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Relative Perfusion Differences between Parathyroid Adenomas and the Thyroid on Multiphase 4DCT
A multiphase 4DCT technique can be useful for the detection of parathyroid adenomas. Up to 16 different phases can be obtained without significant increase of exposure dose using wide beam axial scanning. This technique also allows for the calculation of perfusion parameters in suspected lesions. We present data on 19 patients with histologically proven parathyroid adenomas. We find a strong correlation between 2 perfusion parameters when comparing parathyroid adenomas and thyroid tissue: parathyroid adenomas show a 55% increase in blood flow (BF) (p < 0.001) and a 50% increase in blood volume (BV) (p < 0.001) as compared to normal thyroid tissue. The analysis of the ROC curve for the different perfusion parameters demonstrates a significantly high area under the curve for BF and BV, confirming these two perfusion parameters to be a possible discriminating tool to discern between parathyroid adenomas and thyroid tissue. These findings can help to discern parathyroid from thyroid tissue and may aid in the detection of parathyroid adenomas.
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来源期刊
CiteScore
12.00
自引率
0.00%
发文量
11
审稿时长
20 weeks
期刊介绍: The International Journal of Biomedical Imaging is managed by a board of editors comprising internationally renowned active researchers. The journal is freely accessible online and also offered for purchase in print format. It employs a web-based review system to ensure swift turnaround times while maintaining high standards. In addition to regular issues, special issues are organized by guest editors. The subject areas covered include (but are not limited to): Digital radiography and tomosynthesis X-ray computed tomography (CT) Magnetic resonance imaging (MRI) Single photon emission computed tomography (SPECT) Positron emission tomography (PET) Ultrasound imaging Diffuse optical tomography, coherence, fluorescence, bioluminescence tomography, impedance tomography Neutron imaging for biomedical applications Magnetic and optical spectroscopy, and optical biopsy Optical, electron, scanning tunneling/atomic force microscopy Small animal imaging Functional, cellular, and molecular imaging Imaging assays for screening and molecular analysis Microarray image analysis and bioinformatics Emerging biomedical imaging techniques Imaging modality fusion Biomedical imaging instrumentation Biomedical image processing, pattern recognition, and analysis Biomedical image visualization, compression, transmission, and storage Imaging and modeling related to systems biology and systems biomedicine Applied mathematics, applied physics, and chemistry related to biomedical imaging Grid-enabling technology for biomedical imaging and informatics
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