کد مقاله | کد نشریه | سال انتشار | مقاله انگلیسی | نسخه تمام متن |
---|---|---|---|---|
10691297 | 1019592 | 2015 | 9 صفحه PDF | دانلود رایگان |
عنوان انگلیسی مقاله ISI
Intensity-Based Assessment of Microbubble-Enhanced Ultrasonography: Phase-Related Diagnostic Ability for Cellular Differentiation of Hepatocellular Carcinoma
ترجمه فارسی عنوان
ارزیابی مبتنی بر شدت التراسونوگرافی پیشرفته با میکروببلاج: توانایی تشخیصی فازی برای تشخیص سلولی کارسینوم سلولهای استخوانی
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کلمات کلیدی
سونوگرافی با افزایش کنتراست، کارسینوم سلول های خونی تمایز سلولی،
موضوعات مرتبط
مهندسی و علوم پایه
فیزیک و نجوم
آکوستیک و فرا صوت
چکیده انگلیسی
This prospective study aimed to elucidate the effect of phase-related quantitative parameters of contrast-enhanced ultrasound (CEUS) with perflubutane microbubble agent to assess the cellular differentiation of hepatocellular carcinoma (HCC). Intensity was analyzed in 94 lesions (19.4 ± 4.9 mm, 86 patients), 47 well-differentiated HCCs (wHCCs) and 47 moderately-differentiated HCCs (mHCCs): Ie (early phase) = Ite (tumor) â Ile (liver), Ip (post-vascular phase) = Itp (tumor) â Ilp (liver), Iep = Ie â Ip. The area under the receiver operating characteristic curve with the best cutoff value (Ie, 13.2, Ip, â4.5, Iep, 21.3) for discriminating between wHCC and mHCC was 0.6922 for Ie, 0.7680 for Ip and 0.7925 for Iep, which indicated a significantly greater ability to differentiate between wHCC and mHCC compared with visual/qualitative assessment (early phase, 0.6170, p = 0.04; post-vascular phase, 0.6702, p = 0.01; both phases, 0.7021, p = 0.04). In conclusion, Iep was found to have the highest diagnostic ability, suggesting it is a promising parameter for the cellular differentiation of HCCs with CEUS.
ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Ultrasound in Medicine & Biology - Volume 41, Issue 12, December 2015, Pages 3079-3087
Journal: Ultrasound in Medicine & Biology - Volume 41, Issue 12, December 2015, Pages 3079-3087
نویسندگان
Takayuki Kondo, Hitoshi Maruyama, Soichiro Kiyono, Tadashi Sekimoto, Taro Shimada, Masanori Takahashi, Sadahisa Ogasawara, Eiichiro Suzuki, Yoshihiko Ooka, Akinobu Tawada, Tetsuhiro Chiba, Fumihiko Kanai, Osamu Yokosuka,