Study Results
The study team has not published outcome measurements, participant flow, or safety data for this trial yet. Check back later for updates.
Basic Information
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RECRUITING
48 participants
OBSERVATIONAL
2024-02-19
2026-02-19
Brief Summary
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Detailed Description
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Conditions
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Study Design
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CASE_ONLY
CROSS_SECTIONAL
Study Groups
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Positive lymph node detection with bioinspired sensor
We will assess the effectiveness of our bioinspired sensor in identifying affected lymph nodes in ex vivo samples. This innovative sensor integrates spectral filters and vertically aligned photodiodes, mirroring the visual capabilities of the mantis shrimp, to simultaneously capture intrinsic UV fluorescence and externally introduced NIR fluorescence from ICG.
To minimize the potential harm from UV radiation, we employ a phased imaging approach. Initially, ICG is injected near the tumor area in the patient, utilizing its NIR fluorescence to accurately locate the lymph node and facilitate the removal of nearby fatty tissue as necessary. Following this, UV light is momentarily used to detect autofluorescence from amino acids frequently found in tumors, providing insights into the lymph node's condition. All resected samples will be analyzed by pathologist and provide ground truth.
Surgical removal of breast cancer and lymph nodes
The patients will undergo a surgical procedure to remove tumor tissue in the breast and its associated lymph nodes. No clinical decision is based on the imaging device tested.
Positive lymph node detection with highly sensitive imaging sensor
We will evaluate the performance of our sensor, characterized by low noise and high quantum efficiency, in detecting compromised lymph nodes in ex vivo samples. This advanced sensor combine spectral filters and low noise photodiodes, enabling the simultaneous detection of natural UV fluorescence and induced NIR fluorescence from ICG.
To minimize the potential harm from UV radiation, we employ a phased imaging approach. Initially, ICG is injected near the tumor area in the patient, utilizing its NIR fluorescence to accurately locate the lymph node and facilitate the removal of nearby fatty tissue as necessary. Following this, UV light is momentarily used to detect autofluorescence from amino acids frequently found in tumors, providing insights into the lymph node's condition. All resected samples will be analyzed by pathologist and provide ground truth.
Surgical removal of breast cancer and lymph nodes
The patients will undergo a surgical procedure to remove tumor tissue in the breast and its associated lymph nodes. No clinical decision is based on the imaging device tested.
Interventions
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Surgical removal of breast cancer and lymph nodes
The patients will undergo a surgical procedure to remove tumor tissue in the breast and its associated lymph nodes. No clinical decision is based on the imaging device tested.
Eligibility Criteria
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Inclusion Criteria
Exclusion Criteria
* previous breast cancer surgery
* history of allergic reactions to iodide or seafood allergy.
* man
18 Years
FEMALE
No
Sponsors
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U.S. National Science Foundation
FED
Ss. Cyril and Methodius University of Skopje, Macedonia
UNKNOWN
University of Illinois at Urbana-Champaign
OTHER
Responsible Party
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Principal Investigators
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Viktor Gruev, PhD
Role: PRINCIPAL_INVESTIGATOR
University of Illinois Urbana Champaign
Locations
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University Clinic Hospital
Skopje, , North Macedonia
Countries
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Central Contacts
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Facility Contacts
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References
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Blair S, Garcia M, Davis T, Zhu Z, Liang Z, Konopka C, Kauffman K, Colanceski R, Ferati I, Kondov B, Stojanoski S, Todorovska MB, Dimitrovska NT, Jakupi N, Miladinova D, Petrusevska G, Kondov G, Dobrucki WL, Nie S, Gruev V. Hexachromatic bioinspired camera for image-guided cancer surgery. Sci Transl Med. 2021 May 5;13(592):eaaw7067. doi: 10.1126/scitranslmed.aaw7067.
Chen C, Wang Z, Wu J, Deng Z, Zhang T, Zhu Z, Jin Y, Lew B, Srivastava I, Liang Z, Nie S, Gruev V. Bioinspired, vertically stacked, and perovskite nanocrystal-enhanced CMOS imaging sensors for resolving UV spectral signatures. Sci Adv. 2023 Nov 3;9(44):eadk3860. doi: 10.1126/sciadv.adk3860. Epub 2023 Nov 3.
Other Identifiers
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IRB23-0314
Identifier Type: -
Identifier Source: org_study_id
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