Evidence map›Paper›PMID 37000215›Full record

ArticleEuropean radiology2023

Diagnostic value of DECT-based colored collagen maps for the assessment of cruciate ligaments in patients with acute trauma.

Leon D Gruenewald, Vitali Koch, Simon S Martin, Ibrahim Yel, Scherwin Mahmoudi, Simon Bernatz, Katrin Eichler, Leona S Alizadeh, Tommaso D'Angelo, Silvio Mazziotti and 4 more

Open access · hybridAbstract read
In one paragraph

Article in European radiology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed, 2 pooled it
1.8field-weighted citation impact, top 17% 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

11 citing papers in PubMed, 2 syntheses or guidelines pooled it, 16 citations in OpenAlex.

  1. Pooled it
  2. Pooled it
  3. Review
  4. Article
  5. Article
  6. Article
  7. Review
  8. Article
  9. Article
  10. Review
  11. 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

14 authors at 2 institutions in 2 countries.

Leon D GruenewaldDivision of Experimental Imaging, Department of Diagnostic and Interventional Radiology, University Hospital Frankfurt, Theodor-Stern-Kai 7, 60590, Frankfurt Am Main, Germany. gruenewald.leon@me.com.ORCID http://orcid.org/0000-0001-7959-5008
Vitali KochDivision of Experimental Imaging, Department of Diagnostic and Interventional Radiology, University Hospital Frankfurt, Theodor-Stern-Kai 7, 60590, Frankfurt Am Main, Germany.
Simon S MartinDivision of Experimental Imaging, Department of Diagnostic and Interventional Radiology, University Hospital Frankfurt, Theodor-Stern-Kai 7, 60590, Frankfurt Am Main, Germany.
Ibrahim YelDivision of Experimental Imaging, Department of Diagnostic and Interventional Radiology, University Hospital Frankfurt, Theodor-Stern-Kai 7, 60590, Frankfurt Am Main, Germany.
Scherwin MahmoudiDepartment of Diagnostic and Interventional Radiology, University Hospital Frankfurt, Frankfurt Am Main, Germany.
Simon BernatzDepartment of Diagnostic and Interventional Radiology, University Hospital Frankfurt, Frankfurt Am Main, Germany.
Katrin EichlerDepartment of Diagnostic and Interventional Radiology, University Hospital Frankfurt, Frankfurt Am Main, Germany.
Leona S AlizadehDivision of Experimental Imaging, Department of Diagnostic and Interventional Radiology, University Hospital Frankfurt, Theodor-Stern-Kai 7, 60590, Frankfurt Am Main, Germany.
Tommaso D'AngeloDepartment of Biomedical Sciences and Morphological and Functional Imaging, University Hospital Messina, Messina, Italy.
Silvio MazziottiDepartment of Biomedical Sciences and Morphological and Functional Imaging, University Hospital Messina, Messina, Italy.
Hendrik SingerDivision of Experimental Imaging, Department of Diagnostic and Interventional Radiology, University Hospital Frankfurt, Theodor-Stern-Kai 7, 60590, Frankfurt Am Main, Germany.
Vincent HeckDepartment of Diagnostic and Interventional Radiology, University Hospital Frankfurt, Frankfurt Am Main, Germany.
Thomas J VoglDepartment of Diagnostic and Interventional Radiology, University Hospital Frankfurt, Frankfurt Am Main, Germany.
Christian BoozDivision of Experimental Imaging, Department of Diagnostic and Interventional Radiology, University Hospital Frankfurt, Theodor-Stern-Kai 7, 60590, Frankfurt Am Main, Germany.
Goethe University Frankfurt · DEUniversity of Messina · IT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectivesThe purpose of this study was to evaluate the diagnostic accuracy of third-generation dual-source dual-energy CT (DECT) color-coded collagen reconstructions for the assessment of the cruciate ligaments compared to standard grayscale image reconstruction.

methodsPatients who underwent third-generation dual-source DECT followed by either 3-T MRI or arthroscopy of the knee joint within 14 days between January 2016 and December 2021 were included in this retrospective study. Five radiologists independently evaluated conventional grayscale DECT for the presence of injury to the cruciate ligaments; after 4 weeks, readers re-evaluated the examinations using grayscale images and color-coded collagen reconstructions. A reference standard for MRI was provided by a consensus reading of two experienced readers and arthroscopy. Sensitivity and specificity were the primary metrics of diagnostic performance.

resultsEighty-five patients (mean age, 44 years ± 16; 50 male) with injury to the ACL or PCL (n = 31) were ultimately included. Color-coded collagen reconstructions significantly increased overall sensitivity (94/105 [90%] vs. 67/105 [64%]), specificity (248/320 [78%] vs. 215/320 [67%]), PPV (94/166 [57%] vs. 67/162 [39%]), NPV (248/259 [96%] vs. 215/253 [85%]), and accuracy (342/425 [81%] vs. 282/425 [66%]) for the detection of injury to the anterior cruciate ligament (all parameters, p < .001). For injury to the posterior cruciate ligament, diagnostic accuracy increased for complete tears (p < .001). Color-coded collagen reconstructions achieved superior diagnostic confidence, image quality, and noise scores compared to grayscale CT (all parameters, p < .001) and showed good agreement with MRI examinations.

conclusionsDECT-derived color-coded collagen reconstructions yield substantially higher diagnostic accuracy and confidence for assessing the integrity of the cruciate ligaments compared to standard grayscale CT in patients with acute trauma. KEY POINTS: • Color-coded collagen reconstructions derived from dual-energy CT yield substantially higher diagnostic accuracy and confidence for the assessment of the cruciate ligaments compared to standard grayscale CT in patients with acute trauma. • Color-coded collagen reconstructions demonstrate good agreement with MRI for the assessment cruciate ligament injury. • Dual-energy CT may serve as a readily available screening approach for patients with acute trauma to the knee when injury to the cruciate ligaments is suspected.

Indexed as

Anterior Cruciate Ligament InjuriesTomography, X-Ray ComputedAdultAnterior Cruciate LigamentCollagenHumansIohexolKnee JointMagnetic Resonance ImagingMaleMethylene BlueRetrospective StudiesSensitivity and SpecificityCollagencolored collagenIohexolMethylene BlueAnterior cruciate ligamentCollagenKnee jointMultidetector computed tomographyPosterior cruciate ligament

Identifiers

PMID37000215
PMCPMC10415420
OpenAlexW4362457810

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.