Evidence map›Paper›PMID 36414716›Full record

ArticleEJNMMI physics2022

Preoperative SPECT/CT + intraoperative CT fusion enabling surgical augmented reality to target sentinel lymph node in endometrial cancer.

Lise Lecointre, Juan Verde, Fabrice Hubele, Julien Salvadori, Laurent Goffin, Chérif Akladios, Benoît Gallix

Open access · goldAbstract read
In one paragraph

Article in EJNMMI physics, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed, 1 pooled it
1.1field-weighted citation impact, top 22% of its field
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

5 citing papers in PubMed, 1 synthesis or guideline pooled it, 6 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. Review
  4. Article
  5. Molecular image-guided surgery in gynaecological cancer: where do we stand?European journal of nuclear medicine and molecular imaging · 2024
    Review
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

7 authors at 4 institutions in 2 countries.

Lise LecointreDepartment of Gynecologic Surgery, University Hospitals of Strasbourg, Avenue Molière, 67200, Strasbourg, France. lise.lecointre@chru-strasbourg.fr.ORCID http://orcid.org/0000-0002-1241-3094
Juan VerdeInstitute of Image-Guided Surgery, IHU-Strasbourg (Institut Hospitalo-Universitaire), Strasbourg, France.
Fabrice HubeleNuclear Medicine and Molecular Imaging, Institut de Cancérologie de Strasbourg Europe (ICANS), University Hospitals of Strasbourg, Strasbourg University, 67200, Strasbourg, France.
Julien SalvadoriNuclear Medicine and Molecular Imaging, Institut de Cancérologie de Strasbourg Europe (ICANS), University Hospitals of Strasbourg, Strasbourg University, 67200, Strasbourg, France.
Laurent GoffinInstitute of Image-Guided Surgery, IHU-Strasbourg (Institut Hospitalo-Universitaire), Strasbourg, France.
Chérif AkladiosDepartment of Gynecologic Surgery, University Hospitals of Strasbourg, Avenue Molière, 67200, Strasbourg, France.
Benoît GallixInstitute of Image-Guided Surgery, IHU-Strasbourg (Institut Hospitalo-Universitaire), Strasbourg, France.
Centre National de la Recherche Scientifique · FRInstitut de Cancérologie Strasbourg · FRInstitut de Chirurgie Guidée par l'Image · FRUniversité de Strasbourg · FR

Funding

Plan Investissements d'Avenir" and the ANR ANR-10-IAHU-02
6 · The paper itself

Abstract

purposeTo establish a proof-of-concept study using a phantom model to allow the fusion of preoperative single-photon emission computed tomography (SPECT) combined with computed tomography (CT), also known as SPECT/CT, with intraoperative CT, enabling the application of an augmented reality (AR) surgical guidance system for pelvic sentinel lymph node (SLN) detection in endometrial cancer patients.

methodsA three-dimensional (3D) pelvic phantom model printed in a gelatin-based scaffold including a radiopaque pelvis, a vascular tree mimicking the iliac vessels, two 3D-printed fillable spheres representing the target pelvic sentinel lymph nodes, and a calibration board was developed. A planar with SPECT/CT lymphoscintigraphy and CT were performed independently on the model. We performed all the necessary steps to achieve the fusion between SPECT/CT and CT. Then, we performed a laparoscopy of the pelvic anatomy on the phantom model to assess in real time the overlay of the recording on the anatomical structures and AR guidance system performance.

resultsWe have successfully completed all the steps needed to fuse the two imaging procedures. This allowed us to apply, in real time, our surgical guidance system with the coverage rate of the visible surface by the augmented reality surface, respectively, on the left SLN 99.48% and on the right SLN 99.42%.

conclusionCo-registration and real-time fusion between a preoperative SPECT/CT and intraoperative CT are feasible. The metric performance of our guidance system is excellent in relation to possible SPECT/CT and CT fusion. Based on our results, we are able to translate the technology to patients, and we initiated a clinical study to evaluate the accuracy of the AR guidance system for endometrial cancer surgery, with a correlation with indocyanine green (ICG)-based technique, representing the gold standard today in the intraoperative detection of SLN in endometrial cancers, despite various limitations.

Identifiers

PMID36414716
PMCPMC9681940
OpenAlexW4309673231

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Registered trials

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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.