Wirelessly Powered Visible Light-Emitting Implant for Surgical Guidance during Lumpectomy

Achieving negative surgical margins, defined as no tumor found on the edges of the resected tissue, during lumpectomy for breast cancer is critical for mitigating the risk of local recurrence. To identify nonpalpable tumors that cannot be felt, pre-operative placements of wire and wire-free localization devices are typically employed. Wire-free localization approaches have significant practical advantages over wired techniques. In this study, we introduce an innovative localization system comprising a light-emitting diode (LED)-based implantable device and handheld system. The device, which is needle injectable and wire free, utilizes multiple wirelessly powered LEDs to provide direct visual guidance for lumpectomy. Two distinct colors, red and blue, provide a clear indication of tissue depth: blue light is absorbed strongly in tissue, visible within a close range of <1 cm, while red light remains visible through several centimeters of tissue. The LEDs, integrated with an impedance-matching circuit and receiver coil, are encapsulated in biocompatible epoxy for injection with a 12 G needle. Our findings demonstrate that the implant exhibits clearly perceivable depth-dependent color changes and remains visible through >2 cm of ex vivo chicken breast and bovine muscle tissue using less than 4 W of transmitted power from a handheld antenna. These miniaturized needle-injectable localization devices show promise for improving surgical guidance of nonpalpable breast tumors.

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Publication Details

Journal
Sensors
Published
2024-08-30
DOI
https://doi.org/10.3390/s24175639
Citations
1
Primary Topic
Wireless Body Area Networks
Type
article
Field-Weighted Citation Impact
0.18

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article

Wirelessly Powered Visible Light-Emitting Implant for Surgical Guidance during Lumpectomy

Patrick Fay, Roy A. Stillwell, Joshua R. Smith, Kedi Yan et al.
1 citations
Sensors
Wireless Body Area Networks
0.18
article

Wirelessly Powered Visible Light-Emitting Implant for Surgical Guidance during Lumpectomy

Patrick Fay, Roy A. Stillwell, Joshua R. Smith, Kedi Yan, Alice M. Police, Sunghoon Rho, Thomas D. O’Sullivan, Ana Flavia Borges de Almeida Barreto
article en
1 citations

Abstract

Achieving negative surgical margins, defined as no tumor found on the edges of the resected tissue, during lumpectomy for breast cancer is critical for mitigating the risk of local recurrence. To identify nonpalpable tumors that cannot be felt, pre-operative placements of wire and wire-free localization devices are typically employed. Wire-free localization approaches have significant practical advantages over wired techniques. In this study, we introduce an innovative localization system comprising a light-emitting diode (LED)-based implantable device and handheld system. The device, which is needle injectable and wire free, utilizes multiple wirelessly powered LEDs to provide direct visual guidance for lumpectomy. Two distinct colors, red and blue, provide a clear indication of tissue depth: blue light is absorbed strongly in tissue, visible within a close range of <1 cm, while red light remains visible through several centimeters of tissue. The LEDs, integrated with an impedance-matching circuit and receiver coil, are encapsulated in biocompatible epoxy for injection with a 12 G needle. Our findings demonstrate that the implant exhibits clearly perceivable depth-dependent color changes and remains visible through >2 cm of ex vivo chicken breast and bovine muscle tissue using less than 4 W of transmitted power from a handheld antenna. These miniaturized needle-injectable localization devices show promise for improving surgical guidance of nonpalpable breast tumors.

SensorsVol. 24(17)
University of Notre Dame (US), University of Washington (US), Rapid City Regional Hospital (US)
Indiana Clinical and Translational Sciences Institute, University of Notre Dame, Indiana University Health, National Center for Advancing Translational Sciences
Good health and well-being
Openalex Percentile: Top 53%
Wireless Body Area Networks
0.18
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