Evidence map›Paper›PMID 38253715›Full record

SynthesisSkeletal radiology2024

Dynamic contrast-enhanced magnetic resonance imaging (DCE-MRI) in differentiation of soft tissue sarcoma from benign lesions: a systematic review of literature.

Firoozeh Shomal Zadeh, Atefe Pooyan, Ehsan Alipour, Nastaran Hosseini, Peter C Thurlow, Filippo Del Grande, Mehrzad Shafiei, Majid Chalian

Abstract readSystematic Review
PubMed Publisher
In one paragraph

Synthesis in Skeletal radiology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed
–field-weighted citation impact
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

13 citing papers in PubMed.

  1. Article
  2. Article
  3. Review
  4. Article
  5. Article
  6. [Pediatric sarcomas].Radiologie (Heidelberg, Germany) · 2026
    Review
  7. Article
  8. Article
  9. Article
  10. Article
  11. Review
  12. Article
  13. 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

8 authors.

Firoozeh Shomal ZadehMusculoskeletal Imaging and Intervention, Department of Radiology, University of Washington, UW Radiology-Roosevelt Clinic, 4245 Roosevelt Way NE, Box 354755, Seattle, WA, 98105, USA.
Atefe PooyanMusculoskeletal Imaging and Intervention, Department of Radiology, University of Washington, UW Radiology-Roosevelt Clinic, 4245 Roosevelt Way NE, Box 354755, Seattle, WA, 98105, USA.
Ehsan AlipourMusculoskeletal Imaging and Intervention, Department of Radiology, University of Washington, UW Radiology-Roosevelt Clinic, 4245 Roosevelt Way NE, Box 354755, Seattle, WA, 98105, USA.
Nastaran HosseiniMusculoskeletal Imaging and Intervention, Department of Radiology, University of Washington, UW Radiology-Roosevelt Clinic, 4245 Roosevelt Way NE, Box 354755, Seattle, WA, 98105, USA.
Peter C ThurlowMusculoskeletal Imaging and Intervention, Department of Radiology, University of Washington, UW Radiology-Roosevelt Clinic, 4245 Roosevelt Way NE, Box 354755, Seattle, WA, 98105, USA.
Filippo Del GrandeIstituto di Imaging della Svizzera Italiana (IIMSI), Ente Ospedaliero Cantonale (EOC), Via Tesserete 46, 6900, Lugano, Switzerland.
Mehrzad ShafieiMusculoskeletal Imaging and Intervention, Department of Radiology, University of Washington, UW Radiology-Roosevelt Clinic, 4245 Roosevelt Way NE, Box 354755, Seattle, WA, 98105, USA.
Majid ChalianMusculoskeletal Imaging and Intervention, Department of Radiology, University of Washington, UW Radiology-Roosevelt Clinic, 4245 Roosevelt Way NE, Box 354755, Seattle, WA, 98105, USA. mchalian@uw.edu.ORCID http://orcid.org/0000-0001-8400-1593

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveTo systematically review the literature assessing the role of Dynamic Contrast-Enhanced Magnetic Resonance Imaging (DCE-MRI) in the differentiation of soft tissue sarcomas from benign lesions. MATERIALS AND

methodsA comprehensive literature search was performed with the following keywords: multiparametric magnetic resonance imaging, DCE-MR perfusion, soft tissue, sarcoma, and neoplasm. Original studies evaluating the role of DCE-MRI for differentiating benign soft-tissue lesions from soft-tissue sarcomas were included.

resultsEighteen studies with a total of 965 imaging examinations were identified. Ten of twelve studies evaluating qualitative parameters reported improvement in discriminative power. One of the evaluated qualitative parameters was time-intensity curves (TIC), and malignant curves (TIC III, IV) were found in 74% of sarcomas versus 26.5% benign lesions. Six of seven studies that used the semiquantitative approach found it relatively beneficial. Four studies assessed quantitative parameters including Ktrans (contrast transit from the vascular compartment to the interstitial compartment), Kep (contrast return to the vascular compartment), and Ve (the volume fraction of the extracellular extravascular space) in addition to other parameters. All found Ktrans, and 3 studies found Kep to be significantly different between sarcomas and benign lesions. The values for Ve were variable. Additionally, eight studies assessed diffusion-weighted imaging (DWI), and 6 of them found it useful.

conclusionOf different DCE-MRI approaches, qualitative parameters showed the best evidence in increasing the diagnostic performance of MRI. Semiquantitative and quantitative approaches seemed to improve the discriminative power of MRI, but which parameters and to what extent is still unclear and needs further investigation.

Indexed as

Contrast MediaMagnetic Resonance ImagingSarcomaSoft Tissue NeoplasmsDiagnosis, DifferentialHumansImage EnhancementContrast MediaDynamic contrast-enhancedMagnetic resonance imagingPerfusionSoft tissue sarcomaTime-intensity curve

Identifiers

What OpenQuestion holds

Textmetadata
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.