کد مقاله | کد نشریه | سال انتشار | مقاله انگلیسی | نسخه تمام متن |
---|---|---|---|---|
5596260 | 1573362 | 2016 | 10 صفحه PDF | دانلود رایگان |
عنوان انگلیسی مقاله ISI
Near-Infrared Optical Imaging Noninvasively Detects Acutely Damaged Muscle
ترجمه فارسی عنوان
تصویربرداری نوری نزدیک به مادون قرمز بدون کشف عضله شدید آسیب دیده
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موضوعات مرتبط
علوم پزشکی و سلامت
پزشکی و دندانپزشکی
کاردیولوژی و پزشکی قلب و عروق
چکیده انگلیسی
Muscle damage is currently assessed through methods such as muscle biopsy, serum biomarkers, functional testing, and imaging procedures, each with its own inherent limitations, and a pressing need for a safe, repeatable, inexpensive, and noninvasive modality to assess the state of muscle health remains. Our aim was to develop and assess near-infrared (NIR) optical imaging as a novel noninvasive method of detecting and quantifying muscle damage. An immobilization-reambulation model was used for inducing muscle damage and recovery in the lower hindlimbs in mice. Confirmation of muscle damage was obtained using in vivo indocyanine green-enhanced NIR optical imaging, magnetic resonance imaging, and ex vivo tissue analysis. The soleus of the immobilized-reambulated hindlimb was found to have a greater amount of muscle damage compared to that in the contralateral nonimmobilized limb, confirmed by in vivo indocyanine green-enhanced NIR optical imaging (3.86-fold increase in radiant efficiency), magnetic resonance imaging (1.41-fold increase in T2), and an ex vivo spectrophotometric assay of indocyanine green uptake (1.87-fold increase in normalized absorbance). Contrast-enhanced NIR optical imaging provides a sensitive, rapid, and noninvasive screening method that can be used for imaging and quantifying muscle damage and recovery in vivo.
ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: The American Journal of Pathology - Volume 186, Issue 10, October 2016, Pages 2692-2700
Journal: The American Journal of Pathology - Volume 186, Issue 10, October 2016, Pages 2692-2700
نویسندگان
Stephen M. Chrzanowski, Abhinandan Batra, Brittany Lee-McMullen, Ravneet S. Vohra, Sean C. Forbes, Huabei Jiang, Krista Vandenborne, Glenn A. Walter,