Evaluation of cholesterol crystals in carotid plaque by dual energy computed tomography

被引:3
|
作者
Saito, Takuya [1 ]
Endo, Hidenori [2 ]
Ando, Daisuke [3 ,4 ]
Miyagi, Itsuki [5 ]
Kawabata, Yuichi [1 ]
Watanabe, Mika [6 ]
Saito, Atsushi [7 ]
Fujimura, Miki [8 ]
Yazawa, Yukako [1 ]
机构
[1] Kohnan Hosp, Dept Stroke Neurol, 4 20 1, Nagamachi Minami,Taihaku Ku, Sendai 9828523, Japan
[2] Kohnan Hosp, Dept Neurosurg, Sendai, Japan
[3] Tohoku Univ, Dept Neurol, Sch Med, Sendai, Japan
[4] Tohoku Univ, Dept Neurosurg Engn & Translat Neurosci, Sch Med, Sendai, Japan
[5] Kohnan Hosp, Dept Radiol, Sendai, Japan
[6] Tohoku Univ Hosp, Dept Pathol, Sendai, Japan
[7] Hirosaki Univ, Dept Neurosurg, Hirosaki, Japan
[8] Hokkaido Univ, Dept Neurosurg, Grad Sch Med, Sapporo, Japan
关键词
Carotid stenosis; Cholesterol crystals; Neuroimaging; Plaque; CT;
D O I
10.1007/s00234-023-03138-5
中图分类号
R74 [神经病学与精神病学];
学科分类号
摘要
Cholesterol crystals (CCs) in carotid plaques might be an indicator of vulnerability, although they have not been fully investigated and non-invasive methods of assessment have not been established. This study examines the validity of assessing CCs using dual-energy computed tomography (DECT) that uses X-rays with different tube voltages for imaging, allowing material discrimination. We retrospectively evaluated patients who had undergone preoperative cervical computed tomography angiography and carotid endarterectomy between December 2019 and July 2020. We developed CC-based material decomposition images (MDIs) by scanning CCs crystallized in the laboratory using DECT. We compared the percentage of CCs in stained slides defined by cholesterol clefts with the percentage of CCs displayed by CC-based MDIs. Thirty-seven pathological sections were obtained from 12 patients. Thirty-two sections had CCs; of these, 30 had CCs on CC-based MDIs. CC-based MDIs and pathological specimens showed a strong correlation. Thus, DECT allows the evaluation of CCs in carotid artery plaques.
引用
收藏
页码:979 / 982
页数:4
相关论文
共 50 条
  • [41] The utility of ultrasound and computed tomography in the assessment of carotid artery plaque vulnerability-A mini review
    Singh, Aniruddha
    Nasir, Usama
    Segal, Jared
    Waheed, Tayyab Ali
    Ameen, Muhammad
    Hafeez, Hamza
    FRONTIERS IN CARDIOVASCULAR MEDICINE, 2022, 9
  • [42] Carotid and cerebrovascular disease in symptomatic patients with type 2 diabetes: assessment of prevalence and plaque morphology by dual-source computed tomography angiography
    He, Ci
    Yang, Zhi-gang
    Chu, Zhi-gang
    Dong, Zhi-hui
    Shao, Heng
    Deng, Wen
    Chen, Jing
    Peng, Li-qing
    Tang, Si-shi
    Xiao, Jia-he
    CARDIOVASCULAR DIABETOLOGY, 2010, 9
  • [43] Dual energy computed tomography: a novel technique for diagnosis of gout
    Ahmad, Zohra
    Gupta, Arun Kumar
    Sharma, Raju
    Bhalla, Ashu Seith
    Kumar, Uma
    Sreenivas, V.
    INTERNATIONAL JOURNAL OF RHEUMATIC DISEASES, 2016, 19 (09) : 887 - 896
  • [44] Occult femoral fracture: be aware of dual energy computed tomography
    Ruggiero, Sergio
    Bellini, Davide
    Rengo, Marco
    Vicini, Simone
    Carbone, Iacopo
    JOURNAL OF CLINICAL ULTRASOUND, 2024, 52 (08) : 1254 - 1258
  • [45] Neuroradiology Applications of Dual and Multi-energy Computed Tomography
    Jarunnarumol, Natthawut
    Kamalian, Shahmir
    Lev, Michael H.
    Gupta, Rajiv
    RADIOLOGIC CLINICS OF NORTH AMERICA, 2023, 61 (06) : 973 - 985
  • [46] Machine learning-based identification of symptomatic carotid atherosclerotic plaques with dual-energy computed tomography angiography
    Wang, Ling-Jie
    Zhai, Pei-Qing
    Xue, Li-Li
    Shi, Cai-Yun
    Zhang, Qian
    Zhang, Hua
    JOURNAL OF STROKE & CEREBROVASCULAR DISEASES, 2023, 32 (08)
  • [47] Clinical applications of dual-energy computed tomography in neuroradiology
    Tran, Ngoc-Anh
    Sodickson, Aaron D.
    Gupta, Rajiv
    Potter, Christopher A.
    SEMINARS IN ULTRASOUND CT AND MRI, 2022, 43 (04) : 280 - 292
  • [48] Development of Optimized Segmentation Map in Dual Energy Computed Tomography
    Yamakawa, Keisuke
    Ueki, Hironori
    MEDICAL IMAGING 2012: PHYSICS OF MEDICAL IMAGING, 2012, 8313
  • [49] Five material tissue decomposition by dual energy computed tomography
    Lochschmidt, Maximilian E.
    Gassenhuber, Melina
    Riederer, Isabelle
    Hammel, Johannes
    Birnbacher, Lorenz
    Busse, Madleen
    Boeckh-Behrens, Tobias
    Ikenberg, Benno
    Wunderlich, Silke
    Liesche-Starnecker, Friederike
    Schlegel, Juergen
    Makowski, Marcus R.
    Zimmer, Claus
    Pfeiffer, Franz
    Pfeiffer, Daniela
    SCIENTIFIC REPORTS, 2022, 12 (01)
  • [50] Dual-Energy Computed Tomography: Is There a Penalty in Image Quality and Radiation Dose Compared With Single-Energy Computed Tomography?
    Thomas, Christoph
    Ketelsen, Dominik
    Tsiflikas, Ilias
    Reimann, Anja
    Brodoefel, Harald
    Claussen, Claus D.
    Heuschmid, Martin
    JOURNAL OF COMPUTER ASSISTED TOMOGRAPHY, 2010, 34 (02) : 309 - 315