Comparison of angioscopy and histopathology for the evaluation of carotid plaque characteristics: an ex vivo validation study

被引:1
|
作者
Kawai, Kenji [1 ]
Fujii, Kenichi [2 ]
Shirakawa, Manabu [3 ]
Uchida, Kazutaka [3 ]
Yamada, Kiyofumi [3 ]
Kawakami, Rika [2 ]
Imanaka, Takahiro [1 ]
Hao, Hiroyuki [4 ]
Hirota, Seiichi [2 ]
Ishihara, Masaharu [1 ]
Yoshimura, Shinichi [3 ]
机构
[1] Hyogo Coll Med, Div Cardiovasc Med & Coronary Heart Dis, Nishinomiya, Hyogo, Japan
[2] Hyogo Coll Med, Dept Surg Pathol, 1-1 Mukogawa Cho Nishinomiya, Nishinomiya, Hyogo 6638501, Japan
[3] Hyogo Coll Med, Dept Neurosurg, Nishinomiya, Hyogo, Japan
[4] Nihon Univ, Sch Med, Dept Pathol, Tokyo, Japan
关键词
Carotid artery disease; Atherosclerosis; Angioscopy; Intraplaque hemorrhage; Necrotic core; INTRAPLAQUE HEMORRHAGE; CEREBROVASCULAR EVENTS; MYOCARDIAL-INFARCTION; ISCHEMIC-STROKE; CAP THICKNESS; RUPTURE; PROGRESSION; ACCURACY; ARTERY; STENT;
D O I
10.1007/s10554-019-01720-8
中图分类号
R5 [内科学];
学科分类号
1002 ; 100201 ;
摘要
Intravascular angioscopy is widely used for evaluating plaque characteristics through the plaque color in the coronary artery. This study evaluated whether angioscopy is capable of identifying various plaque morphologies, including necrotic core and intraplaque hemorrhage (IPH) in the carotid artery. Nine patients underwent carotid endarterectomy for carotid artery stenosis, and these specimens were imaged ex vivo by angioscopy within 6 h. An angioscopic examination of carotid plaque evaluated its color intensity as follows: white, yellow, or red. The IPH area, necrotic core area, and fibrous cap thickness was measured on histological sections at each site. A total of 7 plaques were graded as white plaques, 10 as yellow, and 8 as red by angioscopy. The IPH area and the percent area occupied by IPH were larger in red and yellow plaques than in white plaques (10.7 +/- 9.3 mm(2), 9.4 +/- 7.8 mm(2), and 2.2 +/- 1.7 mm(2), respectively, P = 0.074; and 25 +/- 10%, 19 +/- 13%, and 7 +/- 5%, respectively, P = 0.008). Furthermore, the thickness of the fibrous cap was significantly thinner in red plaques than in yellow and white plaques (128 +/- 34 mu m, 328 +/- 136 mu m, and 285 +/- 102 mu m, respectively, P = 0.002). The ROC analysis for predicting a presence of red plaques identified that the optimal cutoff value of fibrous cap thickness was 181 mu m (area under the curve = 0.987, 100% sensitivity, 90% specificity). The prevalence of red plaques on intravascular angioscopy may represent the existence of plaques containing relatively larger necrotic core and IPH with a thin fibrous cap.
引用
收藏
页码:231 / 239
页数:9
相关论文
共 50 条
  • [1] Comparison of angioscopy and histopathology for the evaluation of carotid plaque characteristics: an ex vivo validation study
    Kenji Kawai
    Kenichi Fujii
    Manabu Shirakawa
    Kazutaka Uchida
    Kiyofumi Yamada
    Rika Kawakami
    Takahiro Imanaka
    Hiroyuki Hao
    Seiichi Hirota
    Masaharu Ishihara
    Shinichi Yoshimura
    The International Journal of Cardiovascular Imaging, 2020, 36 : 231 - 239
  • [2] Ex vivo comparison of angioscopy and histopathology for the evaluation of coronary plaque characteristics
    Shibuya, Masahiko
    Fujii, Kenichi
    Hao, Hiroyuki
    Imanaka, Takahiro
    Fukunaga, Masashi
    Miki, Kojiro
    Tamaru, Hiroto
    Nakata, Tsuyoshi
    Sawada, Hisashi
    Naito, Yoshiro
    Hirota, Seiichi
    Masuyama, Tohru
    INTERNATIONAL JOURNAL OF CARDIOVASCULAR IMAGING, 2016, 32 (06) : 863 - 869
  • [3] Diagnostic and Interventional Optical Angioscopy in Ex Vivo Carotid Arteries
    Savastano, Luis E.
    Chaudhary, Neeraj
    Murga-Zamalloa, Carlos
    Wang, Michael
    Wang, Thomas
    Thompson, B. Gregory
    OPERATIVE NEUROSURGERY, 2017, 13 (01) : 36 - 46
  • [4] VIRTUAL HISTOLOGY-INTRAVASCULAR ULTRASOUND IN ASSESSMENT OF CAROTID PLAQUES: EX VIVO STUDY
    Hishikawa, Tomohito
    Iihara, Koji
    Ishibashi-Ueda, Hatsue
    Nagatsuka, Kazuyuki
    Yamada, Naoaki
    Miyamoto, Susumu
    NEUROSURGERY, 2009, 65 (01) : 146 - 152
  • [5] Comparison of symptomatic and asymptomatic atherosclerotic carotid plaque features with in vivo MR imaging
    Saam, Tobias
    Cai, Jianming
    Ma, Lin
    Cai, You-Quan
    Ferguson, Marina S.
    Polissar, Nayak L.
    Hatsukami, Thomas S.
    Yuan, Chun
    RADIOLOGY, 2006, 240 (02) : 464 - 472
  • [6] Quantitative Intracranial Atherosclerotic Plaque Characterization at 7T MRI: An Ex Vivo Study with Histologic Validation
    Harteveld, A. A.
    Denswil, N. P.
    Siero, J. C. W.
    Zwanenburg, J. J. M.
    Vink, A.
    Pouran, B.
    Spliet, W. G. M.
    Klomp, D. W. J.
    Luijten, P. R.
    Daemen, M. J.
    Hendrikse, J.
    van der Kolk, A. G.
    AMERICAN JOURNAL OF NEURORADIOLOGY, 2016, 37 (05) : 802 - 810
  • [7] Ex vivo evaluation of coronary atherosclerotic plaques: Characterization with dual-source CT in comparison with histopathology
    Leschka, Sebastian
    Seitun, Sara
    Dettmer, Matthias
    Baumueller, Stephan
    Stolzmann, Paul
    Goetti, Robert
    Scheffel, Hans
    Feuchtner, Gudrun
    Wunnicke, Kathrin
    Wildermuth, Simon
    Oehlschlegel, Christian
    Marincek, Borut
    Jochum, Wolfram
    Alkadhi, Hatem
    JOURNAL OF CARDIOVASCULAR COMPUTED TOMOGRAPHY, 2010, 4 (05) : 301 - 308
  • [8] Ex vivo characterization of carotid plaques by intravascular ultrasonography and virtual histology: concordance with real plaque pathomorphology
    Fuchs, Martina
    Heider, Peter
    Pelisek, Jaroslav
    Poppert, Holger
    Eckstein, Henning H.
    JOURNAL OF CARDIOVASCULAR SURGERY, 2017, 58 (01) : 55 - 64
  • [9] Validation of Neointimal Coverage Classification After Stent Implantation by Coronary Angioscopy; ex vivo Histological Study
    Kawai, Kenji
    Imanaka, Takahiro
    Kawakami, Rika
    Akahori, Hirokuni
    Miki, Kojiro
    Yoshihara, Nagataka
    Yanaka, Koji
    Hirota, Seiichi
    Masuyama, Tohru
    Ishihara, Masaharu
    CIRCULATION, 2017, 136
  • [10] A Modified Rabbit Model of Carotid Atherosclerotic Plaque Suitable for the Stroke Study and MRI Evaluation
    Wang Fei
    Tong Tong
    Peng YiFeng
    Tian JingLi
    Gu WeiZhong
    Tang GuangYu
    Geng DaoYing
    Chen Yingsheng
    INTERNATIONAL JOURNAL OF NEUROSCIENCE, 2011, 121 (12) : 662 - 669