Evidence map›Paper›PMID 38245823›Full record

ArticleAdvanced healthcare materials2024

Material-Intrinsic NIR-Fluorescence Enables Image-Guided Surgery for Ceramic Fracture Removal.

Robert Nißler, Elena Totter, Sebastian G Walter, Justus T Metternich, Oscar Cipolato, Dimitri Nowack, Alexander Gogos, Inge K Herrmann

Open access · hybridAbstract read
In one paragraph

Article in Advanced healthcare materials, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
1.3field-weighted citation impact, top 23% 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

4 citing papers in PubMed, 7 citations in OpenAlex.

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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

8 authors at 5 institutions in 2 countries.

Robert NißlerNanoparticle Systems Engineering Laboratory, Institute of Energy and Process Engineering (IEPE), Department of Mechanical and Process Engineering (D-MAVT), ETH Zurich, Sonneggstrasse 3, Zurich, 8092, Switzerland.ORCID 0000-0003-1282-2901
Elena TotterNanoparticle Systems Engineering Laboratory, Institute of Energy and Process Engineering (IEPE), Department of Mechanical and Process Engineering (D-MAVT), ETH Zurich, Sonneggstrasse 3, Zurich, 8092, Switzerland.
Sebastian G WalterDepartment of Orthopedics, Traumatology and Reconstructive Surgery, University Hospital Cologne, Joseph-Stelzmann-Str. 24, 50931, Cologne, Germany.ORCID 0000-0002-6203-8616
Justus T MetternichPhysical Chemistry, Ruhr-University Bochum, Universitätsstr. 150, 44801, Bochum, Germany.ORCID 0000-0001-9233-2739
Oscar CipolatoNanoparticle Systems Engineering Laboratory, Institute of Energy and Process Engineering (IEPE), Department of Mechanical and Process Engineering (D-MAVT), ETH Zurich, Sonneggstrasse 3, Zurich, 8092, Switzerland.ORCID 0000-0003-2268-0927
Dimitri NowackDeutsches Zentrum für Orthopädie, Department of Orthopedics and Trauma Surgery, Friedrich Schiller University Jena, Eisenberg, 07743, Jena, Germany.
Alexander GogosNanoparticle Systems Engineering Laboratory, Institute of Energy and Process Engineering (IEPE), Department of Mechanical and Process Engineering (D-MAVT), ETH Zurich, Sonneggstrasse 3, Zurich, 8092, Switzerland.ORCID 0000-0001-6233-512X
Inge K HerrmannNanoparticle Systems Engineering Laboratory, Institute of Energy and Process Engineering (IEPE), Department of Mechanical and Process Engineering (D-MAVT), ETH Zurich, Sonneggstrasse 3, Zurich, 8092, Switzerland.ORCID 0000-0002-3018-6796
University of Zurich · CHETH Zurich · CHFraunhofer Institute for Microelectronic Circuits and Systems · DEFriedrich Schiller University Jena · DEUniversity Hospital Cologne · DE

Funding

ETH Zürich Foundation Career Seed AwardSchweizerischer Nationalfonds zur Förderung der Wissenschaftlichen Forschung 181290
6 · The paper itself

Abstract

Hip arthroplasty effectively treats advanced osteoarthritis and is therefore entitled as "operation of the 20th century." With demographic shifts, the USA alone is projected to perform up to 850 000 arthroplasties annually by 2030. Many implants now feature a ceramic head, valued for strength and wear resistance. Nonetheless, a fraction, up to 0.03% may fracture during their lifespan, demanding complex removal procedures. To address this, a radiation-free, fluorescence-based image-guided surgical technique is presented. The method uses the inherent fluorescence of ceramic implant materials, demonstrated through chemical and optical analysis of prevalent implant types. Specifically, Biolox delta implants exhibited strong fluorescence around 700 nm with a 74% photoluminescence quantum yield. Emission tails are identified extending into the near-infrared (NIR-I) biological transparency range, forming a vital prerequisite for the label-free visualization of fragments. This ruby-like fluorescence could be attributed to Cr within the zirconia-toughened alumina matrix, enabling the detection of even deep-seated millimeter-sized fragments via camera-assisted techniques. Additionally, fluorescence microscopy allowed detection of µm-sized ceramic particles, enabling debris visualization in synovial fluid as well as histological samples. This label-free optical imaging approach employs readily accessible equipment and can seamlessly transition to clinical settings without significant regulatory barriers, thereby enhancing the safety, efficiency, and minimally invasive nature of fractured ceramic implant removal procedures.

Indexed as

Hip ProsthesisSurgery, Computer-AssistedCeramicsFluorescenceZirconiumZirconiumAl2O3bioimagingceramic implantluminescent ceramicsNIR fluorescenceruby, zirconia‐toughened aluminaZTA

Identifiers

PMID38245823
PMCPMC11481054
OpenAlexW4391067154

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
Read underepoch 390

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.