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Becker AB, Chen L, Ning B, Hu S, Hossack JA, Klibanov AL, Annex BH, French BA. Contrast-Enhanced Ultrasound Reveals Partial Perfusion Recovery After Hindlimb Ischemia as Opposed to Full Recovery by Laser Doppler Perfusion Imaging. ULTRASOUND IN MEDICINE & BIOLOGY 2022; 48:1058-1069. [PMID: 35287996 PMCID: PMC9872654 DOI: 10.1016/j.ultrasmedbio.2022.02.002] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 11/02/2021] [Revised: 02/01/2022] [Accepted: 02/03/2022] [Indexed: 06/03/2023]
Abstract
Mouse models are critical in developing new therapeutic approaches to treat peripheral arterial disease (PAD). Despite decades of research and numerous clinical trials, the efficacy of available therapies is limited. This may suggest shortcomings in our current animal models and/or methods of assessment. We evaluated perfusion measurement methods in a mouse model of PAD by comparing laser Doppler perfusion imaging (LDPI, the most common technique), contrast-enhanced ultrasound (CEUS, an emerging technique) and fluorescent microspheres (conventional standard). Mice undergoing a femoral artery ligation were assessed by LDPI and CEUS at baseline and 1, 4, 7, 14, 28, 60, 90 and 150 d post-surgery to evaluate perfusion recovery in the ischemic hindlimb. Fourteen days after surgery, additional mice were measured with fluorescent microspheres, LDPI, and CEUS. LDPI and CEUS resulted in broadly similar trends of perfusion recovery until 7 d post-surgery. However, by day 14, LDPI indicated full recovery of perfusion, whereas CEUS indicated ∼50% recovery, which failed to improve even after 5 mo. In agreement with the CEUS results, fluorescent microspheres at day 14 post-surgery confirmed that perfusion recovery was incomplete. Histopathology and photoacoustic microscopy provided further evidence of sustained vascular abnormalities.
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Affiliation(s)
- Alyssa B Becker
- Department of Biomedical Engineering, University of Virginia, Charlottesville, Virginia, USA
| | - Lanlin Chen
- Department of Biomedical Engineering, University of Virginia, Charlottesville, Virginia, USA
| | - Bo Ning
- Department of Biomedical Engineering, University of Virginia, Charlottesville, Virginia, USA
| | - Song Hu
- Department of Biomedical Engineering, University of Virginia, Charlottesville, Virginia, USA
| | - John A Hossack
- Department of Biomedical Engineering, University of Virginia, Charlottesville, Virginia, USA
| | - Alexander L Klibanov
- Department of Biomedical Engineering, University of Virginia, Charlottesville, Virginia, USA; Department of Medicine, Cardiovascular Division, University of Virginia, Charlottesville, Virginia, USA
| | - Brian H Annex
- Department of Biomedical Engineering, University of Virginia, Charlottesville, Virginia, USA; Department of Medicine, Cardiovascular Division, University of Virginia, Charlottesville, Virginia, USA
| | - Brent A French
- Department of Biomedical Engineering, University of Virginia, Charlottesville, Virginia, USA; Department of Medicine, Cardiovascular Division, University of Virginia, Charlottesville, Virginia, USA.
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