Photoacoustic Imaging for Image-Guided Gastric Tube Placement: Ex Vivo Characterization

Over 250,000 gastrostomy tubes (G-tubes) are placed annually in the United States. Percutaneous endoscopic gastrostomy (PEG) is the most widely used clinical method for placing G-tubes within the stomach. However, endoscope detectability is limited due to the scattering of light by tissues. Poor organ visibility and low sensitivity of the palpation techniques cause blind needle insertions, which cause colon/liver perforations, abdominal bleeding, and gastric resections. Additionally, imaging artifacts and the poor distinguishability between water-filled tissues make ultrasound (US) imaging-based techniques incompatible with G-tube placement. The risk of ionizing radiation exposure and the confinement of fluoroscopy to radiology suites limits its bedside utility in patients. Considering these limitations, we propose to design a safe, point-of-care integrated US and photoacoustic (PA) imaging system for accurate G-tube placement procedures, for a broad spectrum of patients, and to characterize the system's effectiveness. Our proposed technology utilizes a clinically safe contrast agent and a dual-wavelength approach for precise procedures. Our ex vivo tissue studies indicated that PA imaging accurately differentiates the different organs at specific wavelengths. Our characterization studies revealed that PA imaging could detect lower concentrations of Indocyanine Green (ICG) dye coating the colon wall, minimizing the risk of ICG dye-related toxicity and providing safer G-tube placements.

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Publication Details

Journal
Sensors
Published
2025-03-05
DOI
https://doi.org/10.3390/s25051597
Primary Topic
Photoacoustic and Ultrasonic Imaging
Type
article
Field-Weighted Citation Impact
0.00

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article

Photoacoustic Imaging for Image-Guided Gastric Tube Placement: Ex Vivo Characterization

Jonathan F. Lovell, Yan Yan, Anoop Nilam, Nikhila Nyayapathi et al.
Sensors
Photoacoustic and Ultrasonic Imaging
article

Photoacoustic Imaging for Image-Guided Gastric Tube Placement: Ex Vivo Characterization

Jonathan F. Lovell, Yan Yan, Anoop Nilam, Nikhila Nyayapathi, Mohammad Mehrmohammadi, Loay Kabbani, Samuel John, Nicole A. Wilson, Yeidi Yuja Vaquiz
article en

Abstract

Over 250,000 gastrostomy tubes (G-tubes) are placed annually in the United States. Percutaneous endoscopic gastrostomy (PEG) is the most widely used clinical method for placing G-tubes within the stomach. However, endoscope detectability is limited due to the scattering of light by tissues. Poor organ visibility and low sensitivity of the palpation techniques cause blind needle insertions, which cause colon/liver perforations, abdominal bleeding, and gastric resections. Additionally, imaging artifacts and the poor distinguishability between water-filled tissues make ultrasound (US) imaging-based techniques incompatible with G-tube placement. The risk of ionizing radiation exposure and the confinement of fluoroscopy to radiology suites limits its bedside utility in patients. Considering these limitations, we propose to design a safe, point-of-care integrated US and photoacoustic (PA) imaging system for accurate G-tube placement procedures, for a broad spectrum of patients, and to characterize the system's effectiveness. Our proposed technology utilizes a clinically safe contrast agent and a dual-wavelength approach for precise procedures. Our ex vivo tissue studies indicated that PA imaging accurately differentiates the different organs at specific wavelengths. Our characterization studies revealed that PA imaging could detect lower concentrations of Indocyanine Green (ICG) dye coating the colon wall, minimizing the risk of ICG dye-related toxicity and providing safer G-tube placements.

SensorsVol. 25(5)
The University of Texas MD Anderson Cancer Center (US), Henry Ford Health System (US), University of Rochester Medical Center (US), University of Rochester (US), University at Buffalo, State University of New York (US)
Wayne State University
Openalex Percentile: Top 96%
Photoacoustic and Ultrasonic Imaging
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