Evidence map›Paper›PMID 40119064›Full record

Observational studySurgical endoscopy2025

Assessing the feasibility of near infrared autofluorescence imaging in minimally-invasive video assisted parathyroidectomy and the autofluorescence signature of parathyroid adenomas. A single center surgical case series.

Sohail Bakkar, Angeliki Chorti, Theodosis Papavramidis, Gianluca Donatini, Paolo Miccoli

Registry-linked trialAbstract readObservational Study
PubMed Publisher
In one paragraph

Observational study in Surgical endoscopy, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT06779760 (Assessing the Feasibility of Near Infrared Autofluorescence Imaging in Minimally-Invasive Video-Assisted Parathyroidectomy and the Autofluorescence Signature of Parathyroid Adenomas), which is not on this map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
–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.

NCT06779760 completednot on this map

Assessing the Feasibility of Near Infrared Autofluorescence Imaging in Minimally-Invasive Video-Assisted Parathyroidectomy and the Autofluorescence Signature of Parathyroid Adenomas

Typeobservational_patient_registrySponsorAristotle University Of ThessalonikiRan2024 to 2024Enrolled24ConditionsPrimary Hyperparathyroidism Due to AdenomaArmsparathyroidectomy
3 · Its place in the literature

Who cites it

3 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
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

5 authors.

Sohail BakkarDepartment of General and Specialized Surgery, Faculty of Medicine, The Hashemite University, Zarqa, 13133, Jordan. sohail.bakkar@gmail.com.ORCID http://orcid.org/0000-0001-8479-5901
Angeliki Chorti1st, Propaedeutic Surgical Department, University Hospital of Thessaloniki AHEPA, Aristotle University of Thessaloniki (AUTH), 5462, Thessaloniki, Greece.
Theodosis Papavramidis1st, Propaedeutic Surgical Department, University Hospital of Thessaloniki AHEPA, Aristotle University of Thessaloniki (AUTH), 5462, Thessaloniki, Greece.
Gianluca DonatiniDepartment of General and Endocrine Surgery, University of Poitiers, CHU Poitiers, Poitiers, France.
Paolo MiccoliDepartment of Surgical, Medical, Pathology, and Critical Care, The University of Pisa, 56124, Pisa, Italy.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe role of near-infrared autofluorescence (NIRAF)-imaging in thyroid surgery is well-established. However, its role in hyperparathyroidism surgery is yet to be defined due to the lack of consensus regarding the autofluorescence (AF) pattern of parathyroid adenomas (PAs). Furthermore, its utility in minimally invasive video-assisted parathyroidectomy (MIVAP) has yet to be assessed.

objectiveTo assess the feasibility of utilizing NIRAF-imaging via the limited-access of MIVAP and whether PAs demonstrate a unique AF signature allowing NIRAF-imaging to serve as an intraoperative diagnostic tool.

methodsThe clinical records of patients who underwent MIVAP for hyperparathyroidism between February and October 2024 were retrospectively reviewed. The primary endpoint was to assess the feasibility of NIRAF-imaging in MIVAP and whether PAs demonstrate a defining AF pattern. Secondary endpoints included whether certain AF patterns of PAs correlated with specific PA features including cell type, size, and/or location. Furthermore, operative-time and cost implications were assessed.

results24 consecutive patients underwent MIVAP for hyperparathyroidism. NIRAF-imaging was feasible via the limited-access with no technical difficulties reported. AF patterns included high-intensity AF in 10 (38.5%), low-intensity AF in 10 (38.5%), and cap AF in 6 (23%). A new AF pattern was also described and referred to as "double cap AF". No significant differences in the patterns of AF were observed (p = 0.2). The pattern of AF did not considerably correlate with the predominant cell type, size or location of the PA. However, mediastinal PAs demonstrated a significantly higher tendency for cap AF. The additional time added to the procedure applying the technology was only a few minutes. However, it conferred a considerable additional cost.

conclusionIn experienced hands, a direct minimal-access did not preclude utilizing NIRAF-imaging. PAs seem to lack a uniform characteristic AF signature implying a limited diagnostic role of NIRAF-imaging in parathyroid surgery apart from confirming normal parathyroid tissue. The study has been registered in ClinicalTrials.gov; registration number: NCT06779760.

Indexed as

AdenomaHyperparathyroidismOptical ImagingParathyroidectomyParathyroid NeoplasmsVideo-Assisted SurgeryAdultAgedFeasibility StudiesFemaleHumansMaleMiddle AgedMinimally Invasive Surgical ProceduresOperative TimeParathyroid GlandsHyperparathyroidismMinimally invasive video-assisted parathyroidectomyNear-infrared autofluorescenceParathyroid AdenomaParathyroid surgery

Identifiers

PMID40119064

What OpenQuestion holds

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Registered trials

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.