Evidence map›Paper›PMID 35022498›Full record

ArticleScientific reports2022

Intraoperative hyperspectral imaging (HSI) as a new diagnostic tool for the detection of cartilage degeneration.

Max Kistler, Hannes Köhler, Jan Theopold, Ines Gockel, Andreas Roth, Pierre Hepp, Georg Osterhoff

Open access · goldAbstract readControlled Clinical Trial
In one paragraph

Article in Scientific reports, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed, 1 pooled it
0.4field-weighted citation impact, top 41% 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

3 citing papers in PubMed, 1 synthesis or guideline pooled it, 4 citations in OpenAlex.

  1. Pooled it
  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

7 authors at 2 institutions in 1 country.

Max KistlerDepartment of Orthopaedics, Trauma and Plastic Surgery, University Hospital Leipzig, 04103, Leipzig, Germany.
Hannes KöhlerInnovation Center Computer Assisted Surgery (ICCAS), University of Leipzig, Leipzig, Germany.
Jan TheopoldDepartment of Orthopaedics, Trauma and Plastic Surgery, University Hospital Leipzig, 04103, Leipzig, Germany.
Ines GockelDepartment of Visceral, Transplant, Thoracic and Vascular Surgery, Leipzig University Hospital, Leipzig, Germany.
Andreas RothDepartment of Orthopaedics, Trauma and Plastic Surgery, University Hospital Leipzig, 04103, Leipzig, Germany.
Pierre HeppDepartment of Orthopaedics, Trauma and Plastic Surgery, University Hospital Leipzig, 04103, Leipzig, Germany.
Georg OsterhoffDepartment of Orthopaedics, Trauma and Plastic Surgery, University Hospital Leipzig, 04103, Leipzig, Germany. georg.osterhoff@medizin.uni-leipzig.de.
University Hospital Leipzig · DELeipzig University · DE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

To investigate, whether hyperspectral imaging (HSI) is able to reliably differentiate between healthy and damaged cartilage tissue. A prospective diagnostic study was performed including 21 patients undergoing open knee surgery. HSI data were acquired during surgery, and the joint surface's cartilage was assessed according to the ICRS cartilage injury score. The HSI system records light spectra from 500 to 1000 nm and generates several parameters including tissue water index (TWI) and the absorbance at 960 nm and 540 nm. Receiver operating characteristic curves were calculated to assess test parameters for threshold values of HSI. Areas with a cartilage defect ICRS grade ≥ 3 showed a significantly lower TWI (p = 0.026) and higher values for 540 nm (p < 0.001). No difference was seen for 960 nm (p = 0.244). For a threshold of 540 nm > 0.74, a cartilage defect ICRS grade ≥ 3 could be detected with a sensitivity of 0.81 and a specificity of 0.81. TWI was not suitable for cartilage defect detection. HSI can provide reliable parameters to differentiate healthy and damaged cartilage. Our data clearly suggest that the difference in absorbance at 540 nm would be the best parameter to achieve accurate identification of damaged cartilage.

Indexed as

Hyperspectral ImagingAdultAgedAged, 80 and overCartilage, ArticularFemaleHumansIntraoperative CareMaleMiddle AgedOsteoarthritis, KneeProspective Studies

Identifiers

PMID35022498
PMCPMC8755763
OpenAlexW4206222425

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.