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DOI 10.1002/advs.202506942

Медицинская библиотека · Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2025

Minimally Invasive, Bioadaptive Multimodal Sensor Probe with Safe Deployment for Real-Time Acute Compartment Syndrome Diagnosis.

Seo Seung Gi, Kim Seungyeob, Yoo Seonggwang, Oh Seyong, Luan Haiwen, Lv Zengyao, Kim Bosung, Li Shupeng, Lu Di, Kim Jong Uk, Park Yaeshin, Lee Jae Hee, Jo Hyeon Bin, Westman Amanda M, Moritz William, Ribaudo Joseph, Huang Yonggang, Pet Mitchell A, Jin Sung Hun, Rogers John A

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Аннотация

Acute Compartment Syndrome (ACS) is a serious medical condition that arises from increased pressure within osteofascial compartments, leading to impaired blood flow and potential tissue damage. Early and accurate diagnosis is critical for preventing permanent damage. Current methods rely largely on qualitative assessments with limited accuracy, and those that exploit invasive pressure measurements often prove inadequate. Herein, a soft materials-based multimodal sensor probe is introduced, as well as the mechanical and thermal influences to monitor intra-compartmental pressure, tissue oxygen saturation (StO2), and blood flow simultaneously at a common location within an affected compartment. The system integrates three sensors into a thin, flexible probe capable of real-time, wireless data transmission. The device allows for continuous monitoring with high reproducibility and sensitivity, to enhance diagnostic accuracy relative to current clinical practice, with the potential to early diagnosis of an acute compartment syndrome that requires fasciotomies. Large animal model studies, including short- and intermediate-term reliability assessments, highlight the key engineering features. The results reveal expected inverse relationships between pressure, StO2, and flow rate under simulated compartment syndrome conditions. This multimodal approach enhances diagnostic precision, offers real-time insights, and promises to yield improved outcomes through a comprehensive, quantitative diagnosis of compartment syndrome.

Для цитирования: Seo Seung Gi, Kim Seungyeob, Yoo Seonggwang, Oh Seyong, Luan Haiwen, Lv Zengyao, Kim Bosung, Li Shupeng, Lu Di, Kim Jong Uk, Park Yaeshin, Lee Jae Hee, Jo Hyeon Bin, Westman Amanda M, Moritz William, Ribaudo Joseph, Huang Yonggang, Pet Mitchell A, Jin Sung Hun, Rogers John A. Minimally Invasive, Bioadaptive Multimodal Sensor Probe with Safe Deployment for Real-Time Acute Compartment Syndrome Diagnosis.. Advanced science (Weinheim, Baden-Wurttemberg, Germany). 2025. DOI: 10.1002/advs.202506942.

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