Dr. Peter E. Fecci Profile

Dr. Peter E. Fecci

at Duke Univ.

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Publications (3)

Proceedings Article | 4 March 2022 Presentation + Paper

Creation of noncontact device for use in brain metastasis margin identification in ex vivo mouse brain

Matthew Tucker, Matthew Lacayo, Suzanna Joseph, Weston Ross, Pakawat Chongsathidkiet, Peter Fecci, Patrick Codd

Proceedings Volume 11945, 1194507 (2022) https://doi.org/10.1117/12.2608975

KEYWORDS: Tumors, Luminescence, Brain, Tissues, Surgery, Melanoma, Laser tissue interaction, Cancer, Laser induced fluorescence, Fluorescence spectroscopy

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Because contemporary intraoperative tumor detection modalities, such as intraoperative MRI, are not ubiquitously available and can disrupt surgical workflow, there is an imperative for an accessible diagnostic device that can meet the surgeon’s needs in identifying tissue types. The objective of this paper is to determine the efficacy of a novel non-contact tumor detection device for metastatic melanoma boundary identification in a tissue-mimicking phantom, evaluate the identification of metastatic melanoma boundaries in ex vivo mouse brain tissue, and find the error associated with identifying this boundary. To validate the spatial and fluorescence resolution of the device, tissue-mimicking phantoms were created with modifiable optical properties. Phantom tissue provided ground truth measurements for fluorophore concentration differences with respect to spatial dimensions. Modeling metastatic disease, ex vivo melanoma brain metastases were evaluated to detect differences in fluorescence between healthy and neoplastic tissue. This analysis includes determining required-to-observe fluorescence differences in tissue. H&E staining confirmed tumor presence in mouse tissue samples. The device detected a difference in normalized average fluorescence intensity in all three phantoms. There were differences in fluorescence with the presence and absence of melanin. The estimated tumor boundary of all tissue phantoms was within 0.30 mm of the ground truth tumor boundary for all boundaries. Likewise, when applied to the melanoma-bearing brains from ex vivo mice, a difference in normalized fluorescence intensity was successfully detected. The potential prediction window for the tumor boundary location is less than 1.5 mm for all ex vivo mouse brain tumors boundaries. We present a non-contact, laser-induced fluorescence device that can identify tumor boundaries based on changes in laser-induced fluorescence emission intensity. The device can identify phantom ground truth tumor boundaries within 0.30 mm using instantaneous rate of change of normalized fluorescence emission intensity and can detect endogenous fluorescence differences in melanoma brain metastases in ex vivo mouse tissue.

Proceedings Article | 21 February 2020 Paper

Nanostar probes: a golden platform for Synergistic Immuno Photothermal Nanotherapy (SYMPHONY) for the treatment of metastatic cancer

Vanessa Cupil-Garcia, Yang Liu, Bridget Crawford, Pakawat Chongsathidkiet, Gregory Palmer, Paolo Maccarini, Peter Fecci, Brant Inman, Tuan Vo-Dinh

Proceedings Volume 11257, 1125714 (2020) https://doi.org/10.1117/12.2552995

KEYWORDS: Tumors, Cancer, Oncology, Bladder cancer, Gold, Nanoparticles, Nanotherapeutics, Near infrared, Tumor growth modeling, Computed tomography

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Proceedings Article | 17 February 2020 Presentation + Paper

Creation of a non-contact, automated brain tumor detection device for use in brain tumor resection

Matthew Tucker, Suzanna Joseph, Weston Ross, Guangshen Ma, Pakawat Chongsathidkiet, Peter Fecci, Patrick Codd

Proceedings Volume 11225, 112250C (2020) https://doi.org/10.1117/12.2546603

KEYWORDS: Tumors, Brain, Tissues, Melanoma, Luminescence, Laser tissue interaction, Cancer, Surgery, Molecules, Spectroscopy

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