Evidence map›Paper›PMID 33878575›Full record

Trial reportThe Journal of surgical research2021

Intraoperative Mapping of Parathyroid Glands Using Fluorescence Lifetime Imaging.

Mark Marsden, Shamira Sridharan Weaver, Laura Marcu, Michael J Campbell

Abstract readClinical Trial
In one paragraph

Trial report in The Journal of surgical research, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed, 1 pooled it
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

8 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Article
  3. Review
  4. Article
  5. Review
  6. Review
  7. Article
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

4 authors.

Mark MarsdenUniversity of California, Davis Department of Biomedical Engineering, Sacramento, California.
Shamira Sridharan WeaverUniversity of California, Davis Department of Biomedical Engineering, Sacramento, California.
Laura MarcuUniversity of California, Davis Department of Biomedical Engineering, Sacramento, California.
Michael J CampbellUniversity of California, Davis Department of Surgery, Sacramento, California. Electronic address: mjcampb@ucdavis.edu.

Funding

Fluorescence Lifetime Imaging/Spectroscopy System For Robotic Cancer Surgery GuidanceR01CA187427 · NCI · UNIVERSITY OF CALIFORNIA AT DAVIS · PI BIRKELAND, ANDREW CHARLES, MARCU, LAURA · 2014 to 2025
$4.6M
NCI NIH HHS R01 CA187427
6 · The paper itself

Abstract

backgroundHypoparathyroidism is a common complication following thyroidectomy. There is a need for technology to aid surgeons in identifying the parathyroid glands. In contrast to near infrared technologies, fluorescence lifetime imaging (FLIm) is not affected by ambient light and may be valuable in identifying parathyroid tissue, but has never been evaluated in this capacity.

methodsWe used FLIm to measure the UV induced (355 nm) time-resolved autofluorescence signatures (average lifetimes in 3 spectral emission channels) of thyroid, parathyroid, lymphoid and adipose tissue in 21 patients undergoing thyroid and parathyroid surgery. The Mann-Whitney U test was used to assess the ability of FLIm to discriminate normocellular parathyroid from each of the other tissues. Various machine learning classifiers (random forests, neural network, support vector machine) were then evaluated to recognize parathyroid through a leave-one-out cross-validation.

resultsStatistically significant differences in average lifetime were observed between parathyroid and each of the other tissue types in spectral channels 2 and 3 respectively. The largest change was observed between adipose tissue and parathyroid (P < 0.001), while less pronounced but still significant changes were observed when comparing parathyroid with lymphoid tissue (P < 0.05) and thyroid (P < 0.01). A random forest classifier trained on average lifetimes was found to detect parathyroid tissue with 100% sensitivity and 93% specificity at the acquisition run level.

conclusionWe found that FLIm derived parameters can distinguish the parathyroid glands and other adjacent tissue types and has promise in scanning the surgical field to identify parathyroid tissue in real-time.

Indexed as

ParathyroidectomyThyroidectomyAdultAgedFemaleHumansIntraoperative CareMaleMiddle AgedOptical ImagingParathyroid GlandsPilot ProjectsFluorescence lifetime imagingHypoparathyroidismParathyroid identification

Identifiers

PMID33878575
PMCPMC8238823

What OpenQuestion holds

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Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.