Evidence map›Paper›PMID 31214811›Full record

ArticleEJNMMI physics2019

Augmenting camera images with gamma detector data : A novel approach to support sentinel lymph node biopsy.

Peter A von Niederhäusern, Simon Pezold, Uri Nahum, Carlo Seppi, Guillaume Nicolas, Michael Rissi, Stephan K Haerle, Philippe C Cattin

Open access · goldAbstract read
In one paragraph

Article in EJNMMI physics, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
0.1field-weighted citation impact, top 49% 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

0 citing papers in PubMed, 1 citations in OpenAlex.

No citing paper in PubMed yet.

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

8 authors at 3 institutions in 1 country.

Peter A von NiederhäusernDepartment of Biomedical Engineering, University of Basel, Allschwil, CH-4123, Switzerland. peter.vonniederhaeusern@unibas.ch.ORCID http://orcid.org/0000-0002-3878-5611
Simon PezoldDepartment of Biomedical Engineering, University of Basel, Allschwil, CH-4123, Switzerland.
Uri NahumDepartment of Biomedical Engineering, University of Basel, Allschwil, CH-4123, Switzerland.
Carlo SeppiDepartment of Biomedical Engineering, University of Basel, Allschwil, CH-4123, Switzerland.
Guillaume NicolasUniversity Hospital Basel, Radiology & Nuclear Medicine Clinic, Basel, CH-4031, Switzerland.
Michael RissiDECTRIS Ltd., Baden-Dättwil, CH-5405, Switzerland.
Stephan K HaerleCenter for Head and Neck Surgical Oncology and Reconstructive Surgery, Hirslanden Clinic, Lucerne, CH-6006, Switzerland.
Philippe C CattinDepartment of Biomedical Engineering, University of Basel, Allschwil, CH-4123, Switzerland.
University of Basel · CHHirslanden Klinik St. Anna · CHUniversity Hospital of Basel · CH

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundSquamous cell carcinoma in the head and neck region is one of the most widespread cancers with high morbidity. Classic treatment comprises the complete removal of the lymphatics together with the cancerous tissue. Recent studies have shown that such interventions are only required in 30% of the patients. Sentinel lymph node biopsy is an alternative method to stage the malignancy in a less invasive manner and to avoid overtreatment. In this paper, we present a novel approach that enables a future augmented reality device which improves the biopsy procedure by visual means.

methodsWe propose a co-calibration scheme for axis-aligned miniature cameras with pinholes of a gamma ray collimating and sensing device and show results gained by experiments, based on a calibration target visible for both modalities.

resultsVisual inspection and quantitative evaluation of the augmentation of optical camera images with gamma information are congruent with known gamma source landmarks.

conclusionsCombining a multi-pinhole collimator with axis-aligned miniature cameras to augment optical images using gamma detector data is promising. As such, our approach might be applicable for breast cancer and melanoma staging as well, which are also based on sentinel lymph node biopsy.

Indexed as

Augmented realityMulti-modality calibrationProjective geometryRadioguided surgerySentinel lymph node biopsy

Identifiers

PMID31214811
PMCPMC6582166
OpenAlexW2952209720

What OpenQuestion holds

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LicenceCC BY
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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.