Literature DB >> 27220510

Intraoperative Near-infrared Imaging for Parathyroid Gland Identification by Auto-fluorescence: A Feasibility Study.

Frederic De Leeuw1,2, Ingrid Breuskin3, Muriel Abbaci4,5, Odile Casiraghi6, Haïtham Mirghani3, Aïcha Ben Lakhdar6, Corinne Laplace-Builhé4,5, Dana Hartl3.   

Abstract

BACKGROUND: Parathyroid glands (PGs) can be particularly hard to distinguish from surrounding tissue and thus can be damaged or removed during thyroidectomy. Postoperative hypoparathyroidism is the most common complication after thyroidectomy. Very recently, it has been found that the parathyroid tissue shows near-infrared (NIR) auto-fluorescence which could be used for intraoperative detection, without any use of contrast agents. The work described here presents a histological validation ex vivo of the NIR imaging procedure and evaluates intraoperative PG detection by NIR auto-fluorescence using for the first time to our knowledge a commercially available clinical NIR imaging device.
METHODS: Ex vivo study on resected operative specimens combined with a prospective in vivo study of consecutive patients who underwent total or partial thyroid, or parathyroid surgery at a comprehensive cancer center. During surgery, any tissue suspected to be a potential PG by the surgeon was imaged with the Fluobeam 800 (®) system. NIR imaging was compared to conventional histology (ex vivo) and/or visual identification by the surgeon (in vivo).
RESULTS: We have validated NIR auto-fluorescence with an ex vivo study including 28 specimens. Sensitivity and specificity were 94.1 and 80 %, respectively. Intraoperative NIR imaging was performed in 35 patients and 81 parathyroids were identified. In 80/81 cases, the fluorescence signal was subjectively obvious on real-time visualization. We determined that PG fluorescence is 2.93 ± 1.59 times greater than thyroid fluorescence in vivo.
CONCLUSIONS: Real-time NIR imaging based on parathyroid auto-fluorescence is fast, safe, and non-invasive and shows very encouraging results, for intraoperative parathyroid identification.

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Year:  2016        PMID: 27220510     DOI: 10.1007/s00268-016-3571-5

Source DB:  PubMed          Journal:  World J Surg        ISSN: 0364-2313            Impact factor:   3.352


  24 in total

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10.  Structure-inherent targeting of near-infrared fluorophores for parathyroid and thyroid gland imaging.

Authors:  Hoon Hyun; Min Ho Park; Eric A Owens; Hideyuki Wada; Maged Henary; Henricus J M Handgraaf; Alexander L Vahrmeijer; John V Frangioni; Hak Soo Choi
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  36 in total

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Authors:  Yikeun Kim; Sung Won Kim; Kang Dae Lee; Yeh-Chan Ahn
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Review 3.  Intraoperative real-time localization of parathyroid gland with near infrared fluorescence imaging.

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4.  Multimodal imaging with integrated auto-fluorescence and optical coherence tomography for identification of neck tissues.

Authors:  Hongming Pan; Zihan Yang; Jingzhu Zhao; Yang Yu; Yanmei Liang
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5.  Near-infrared autofluorescence imaging to detect parathyroid glands in thyroid surgery.

Authors:  R Ladurner; N Al Arabi; U Guendogar; Kkj Hallfeldt; H Stepp; Jks Gallwas
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6.  Innovative surgical guidance for label-free real-time parathyroid identification.

Authors:  Giju Thomas; Melanie A McWade; John Q Nguyen; Melinda E Sanders; James T Broome; Naira Baregamian; Carmen C Solórzano; Anita Mahadevan-Jansen
Journal:  Surgery       Date:  2018-11-12       Impact factor: 3.982

7.  Intraoperative near-infrared autofluorescence imaging of parathyroid glands.

Authors:  Roland Ladurner; Sandra Sommerey; Nora Al Arabi; Klaus K J Hallfeldt; Herbert Stepp; Julia K S Gallwas
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8.  Enhanced visualization of parathyroid glands during video-assisted neck surgery.

Authors:  P F Alesina; B Meier; J Hinrichs; W Mohmand; M K Walz
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9.  Does fluoroscopy prevent inadvertent parathyroidectomy in thyroid surgery?

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10.  Developing a Clinical Prototype to Guide Surgeons for Intraoperative Label-Free Identification of Parathyroid Glands in Real Time.

Authors:  Giju Thomas; Melanie A McWade; Constantine Paras; Emmanuel A Mannoh; Melinda E Sanders; Lisa M White; James T Broome; John E Phay; Naira Baregamian; Carmen C Solórzano; Anita Mahadevan-Jansen
Journal:  Thyroid       Date:  2018-09-11       Impact factor: 6.568

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