Evidence map›Paper›PMID 35195825›Full record

ArticleAnnals of surgical oncology2022

Real-Time Wireless Tumor Tracking in Navigated Liver Resections: An Ex Vivo Feasibility Study.

Roeland Eppenga, Wout Heerink, Jasper Smit, Koert Kuhlmann, Theo Ruers, Jasper Nijkamp

Open access · hybridAbstract read
In one paragraph

Article in Annals of surgical oncology, 2022. 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
0.8field-weighted citation impact, top 32% 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, 3 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

6 authors at 2 institutions in 1 country.

Roeland EppengaDepartment of Surgical Oncology, The Netherlands Cancer Institute, Amsterdam, The Netherlands. t.ruers@nki.nl.
Wout HeerinkDepartment of Surgical Oncology, The Netherlands Cancer Institute, Amsterdam, The Netherlands.
Jasper SmitDepartment of Surgical Oncology, The Netherlands Cancer Institute, Amsterdam, The Netherlands.
Koert KuhlmannDepartment of Surgical Oncology, The Netherlands Cancer Institute, Amsterdam, The Netherlands.
Theo RuersDepartment of Surgical Oncology, The Netherlands Cancer Institute, Amsterdam, The Netherlands.
Jasper NijkampDepartment of Surgical Oncology, The Netherlands Cancer Institute, Amsterdam, The Netherlands.
The Netherlands Cancer Institute · NLOncode Institute · NL

Funding

KWF Alpe d'Huzes NKI 2014-6596
6 · The paper itself

Abstract

backgroundSurgical navigation systems generally require intraoperative steps, such as intraoperative imaging and registration, to link the system to the patient anatomy. Because this hampers surgical workflow, we developed a plug-and-play wireless navigation system that does not require any intraoperative steps. In this ex vivo study on human hepatectomy specimens, the feasibility was assessed of using this navigation system to accurately resect a planned volume with small margins to the lesion.

methodsFor ten hepatectomy specimens, a planning CT was acquired in which a virtual spherical lesion with 5 mm margin was delineated, inside the healthy parenchyma. Using two implanted trackers, the real-time position of this planned resection volume was visualized on a screen, relative to the used tracked pointer. Experienced liver surgeons were asked to accurately resect the nonpalpable planned volume, fully relying on the navigation screen. Resected and planned volumes were compared using CT.

resultsThe surgeons resected the planned volume while cutting along its border with a mean accuracy of - 0.1 ± 2.4 mm and resected 98 ± 12% of the planned volume. Nine out of ten resections were radical and one case showed a cut of 0.8 mm into the lesion. The sessions took approximately 10 min each, and no considerable technical issues were encountered.

conclusionsThis ex vivo liver study showed that it is feasible to accurately resect virtual hepatic lesions with small planned margins using our novel navigation system, which is promising for clinical applications where nonpalpable hepatic metastases have to be resected with small resection margins.

Indexed as

Liver NeoplasmsSurgery, Computer-AssistedFeasibility StudiesHepatectomyHumansImaging, Three-DimensionalMargins of ExcisionElectromagnetic trackingLiver resectionNonpalpable lesionSurgical navigationTumor motion trackingWireless navigation

Identifiers

PMID35195825
PMCPMC9072277
OpenAlexW4212873067

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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.