Assessing Benefits of NIRAF Detection for Identifying Parathyroid Glands During Total Thyroidectomy.
NCT ID: NCT04281875
Last Updated: 2024-10-17
Study Results
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View full resultsBasic Information
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COMPLETED
NA
160 participants
INTERVENTIONAL
2020-03-16
2024-02-23
Brief Summary
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Detailed Description
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The aim of this prospective single blinded randomized study is to compare 2 groups of patients: TTx patients operated using NIRAF detection technology with PTeye as adjunct tool (NIRAF+) vs. patients operated without the adjunct technology (NIRAF-). The main objective of this study is to assess the benefit of intraoperative use of NIRAF detection technology via PTeye during TTx procedures with regard to postoperative hypocalcemia, PG identification, PG auto-transplantation and inadvertent resection rates compared to standard of care.
Conditions
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Study Design
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RANDOMIZED
PARALLEL
Generic Name of Device: Parathyroid Autofluorescence Detection Device (NIRAF detection technology).
The Parathyroid Autofluorescence Detection Device consists of a disposable fiber-optic probe that emits non-ionizing radiation from a NIR 785 nanometer (nm) laser source, and also transmits the resulting tissue NIRAF to a photo detector. The 785 nm laser source emits a maximum power of 20 Milliwatts (mW). The device has an FDA clearance for clinical use in general surgeries and dermatological use (Class 2 device).
PREVENTION
SINGLE
Study Groups
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NIRAF Detection Technology +
Parathyroid gland identification will be performed with PTeye using NIRAF detection technology as an adjunctive tool in patients who undergo total thyroidectomy (TTx) with or without lymph node dissection (LND).
NIRAF Detection Technology
Near Infrared Autofluorescence (NIRAF) detection technology or 'PTeye' consists of a disposable fiber-optic probe that emits non-ionizing radiation from a NIR 785 nm laser source, and also transmits the resulting tissue NIRAF to a photo detector. The 785 nm laser source emits a maximum power of 20 mW. The device is FDA cleared for clinical use in general surgeries and dermatological use (Class 2 device).
After surgeon identifies a potential parathyroid gland in the surgical field, the surgeon places the fiber-optic probe of PTeye on suspect tissue and presses the device foot-pedal to activate tissue NIRAF measurement. Auditory beep at high frequency with a Detection Ratio \> 1.2 is interpreted by device as the suspect tissue being positive for parathyroid.
NIRAF Detection Technology -
Parathyroid gland identification will be performed with the naked eye of the surgeon without using PTeye - NIRAF detection technology in patients who undergo total thyroidectomy (TTx) with or without lymph node dissection (LND).
No interventions assigned to this group
Interventions
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NIRAF Detection Technology
Near Infrared Autofluorescence (NIRAF) detection technology or 'PTeye' consists of a disposable fiber-optic probe that emits non-ionizing radiation from a NIR 785 nm laser source, and also transmits the resulting tissue NIRAF to a photo detector. The 785 nm laser source emits a maximum power of 20 mW. The device is FDA cleared for clinical use in general surgeries and dermatological use (Class 2 device).
After surgeon identifies a potential parathyroid gland in the surgical field, the surgeon places the fiber-optic probe of PTeye on suspect tissue and presses the device foot-pedal to activate tissue NIRAF measurement. Auditory beep at high frequency with a Detection Ratio \> 1.2 is interpreted by device as the suspect tissue being positive for parathyroid.
Other Intervention Names
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Eligibility Criteria
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Inclusion Criteria
(ii) All patients undergoing completion thyroidectomy.
Exclusion Criteria
18 Years
99 Years
ALL
No
Sponsors
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National Cancer Institute (NCI)
NIH
Vanderbilt-Ingram Cancer Center
OTHER
Responsible Party
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Carmen Solorzano
Professor of Surgery Chair, Department of Surgery Director, Vanderbilt Endocrine Surgery
Principal Investigators
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Carmen C Solorzano, MD, FACS
Role: PRINCIPAL_INVESTIGATOR
Vanderbilt University Medical Center
Locations
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Vanderbilt University Medical Center
Nashville, Tennessee, United States
Countries
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References
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Antakia R, Edafe O, Uttley L, Balasubramanian SP. Effectiveness of preventative and other surgical measures on hypocalcemia following bilateral thyroid surgery: a systematic review and meta-analysis. Thyroid. 2015 Jan;25(1):95-106. doi: 10.1089/thy.2014.0101.
Edafe O, Antakia R, Laskar N, Uttley L, Balasubramanian SP. Systematic review and meta-analysis of predictors of post-thyroidectomy hypocalcaemia. Br J Surg. 2014 Mar;101(4):307-20. doi: 10.1002/bjs.9384. Epub 2014 Jan 9.
McWade MA, Sanders ME, Broome JT, Solorzano CC, Mahadevan-Jansen A. Establishing the clinical utility of autofluorescence spectroscopy for parathyroid detection. Surgery. 2016 Jan;159(1):193-202. doi: 10.1016/j.surg.2015.06.047. Epub 2015 Oct 9.
Thomas G, McWade MA, Paras C, Mannoh EA, Sanders ME, White LM, Broome JT, Phay JE, Baregamian N, Solorzano CC, Mahadevan-Jansen A. Developing a Clinical Prototype to Guide Surgeons for Intraoperative Label-Free Identification of Parathyroid Glands in Real Time. Thyroid. 2018 Nov;28(11):1517-1531. doi: 10.1089/thy.2017.0716. Epub 2018 Sep 11.
Thomas G, McWade MA, Nguyen JQ, Sanders ME, Broome JT, Baregamian N, Solorzano CC, Mahadevan-Jansen A. Innovative surgical guidance for label-free real-time parathyroid identification. Surgery. 2019 Jan;165(1):114-123. doi: 10.1016/j.surg.2018.04.079. Epub 2018 Nov 12.
Voelker R. Devices Help Surgeons See Parathyroid Tissue. JAMA. 2018 Dec 4;320(21):2193. doi: 10.1001/jama.2018.18768. No abstract available.
Cousart AG, Kiernan CM, Willmon PA, Thomas G, Wang TS, Gauger PG, Duh QY, Underwood HJ, Jackson A, Patel A, Mahadevan-Jansen A, Solorzano CC. Near-Infrared Autofluorescence for Parathyroid Detection During Endocrine Neck Surgery: A Randomized Clinical Trial. JAMA Surg. 2025 Sep 1;160(9):936-944. doi: 10.1001/jamasurg.2025.2233.
Provided Documents
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Document Type: Study Protocol and Statistical Analysis Plan
Document Type: Informed Consent Form
Other Identifiers
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VICC HN 2017
Identifier Type: -
Identifier Source: org_study_id
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