Evidence map›Paper›PMID 30324391›Full record

ArticleEuropean radiology2019

Added value of diffusion-weighted imaging to conventional MRI for predicting fascial involvement of soft tissue sarcomas.

Min A Yoon, Choong Guen Chee, Hye Won Chung, Joon Seon Song, Jong Seok Lee, Wanlim Kim, Min Hee Lee, Sang Hoon Lee, Myung Jin Shin

Abstract read
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In one paragraph

Article in European radiology, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed
2.2field-weighted citation impact, top 12% 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, 16 citations in OpenAlex.

  1. Article
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  3. Review
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  9. Article
  10. Multidisciplinary treatment of soft tissue sarcomas: An update.World journal of clinical oncology · 2020
    Review
  11. Observational
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

9 authors at 3 institutions in 1 country.

Min A YoonDepartment of Radiology and Research Institute of Radiology, University of Ulsan College of Medicine, Asan Medical Center, Seoul, 05505, South Korea.
Choong Guen CheeDepartment of Radiology and Research Institute of Radiology, University of Ulsan College of Medicine, Asan Medical Center, Seoul, 05505, South Korea.
Hye Won ChungDepartment of Radiology and Research Institute of Radiology, University of Ulsan College of Medicine, Asan Medical Center, Seoul, 05505, South Korea. chung@amc.seoul.kr.
Joon Seon SongDepartment of Pathology, University of Ulsan College of Medicine, Asan Medical Center, Seoul, 05505, South Korea.
Jong Seok LeeDepartment of Orthopedic Surgery, University of Ulsan College of Medicine, Asan Medical Center, Seoul, 05505, South Korea.
Wanlim KimDepartment of Orthopedic Surgery, University of Ulsan College of Medicine, Asan Medical Center, Seoul, 05505, South Korea.
Min Hee LeeDepartment of Radiology and Research Institute of Radiology, University of Ulsan College of Medicine, Asan Medical Center, Seoul, 05505, South Korea.
Sang Hoon LeeDepartment of Radiology and Research Institute of Radiology, University of Ulsan College of Medicine, Asan Medical Center, Seoul, 05505, South Korea.
Myung Jin ShinDepartment of Radiology and Research Institute of Radiology, University of Ulsan College of Medicine, Asan Medical Center, Seoul, 05505, South Korea.
Asan Medical Center · KRUniversity of Ulsan · KRUlsan College · KR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectivesThis study was conducted to evaluate the added value of diffusion-weighted imaging (DWI) to conventional magnetic resonance imaging (MRI) for predicting fascial involvement of soft tissue sarcomas located in close proximity to fascial boundaries.

methodsThis retrospective study included 29 patients with surgically resected soft tissue sarcomas located in proximity to deep fascia and with a curvilinear tail-like hyperintensity in the adjacent fascia on T2-weighted images. All patients underwent conventional MRI and DWI at 3.0 T and had detailed histologic reports on involvement of fascia. Two musculoskeletal radiologists with 21 and 1 year of experience independently reviewed conventional MRI and conventional imaging with added DWI. Readers scored their confidence for tumor involvement of fascia using a three-point scale. Diagnostic performance (area under the curve [Az]) of the two MRI sets was assessed with receiver-operating characteristic curve analysis.

resultFascial involvement was present in 22/29 patients (75.9%). Both readers showed improvement in diagnostic performance with the addition of DWI (Az, from 0.545 to 0.792 and from 0.646 to 0.792 for reader 1 and reader 2, respectively). Adding DWI did not improve sensitivity or specificity for either reader (p > 0.05). Interobserver agreement for the confidence scores improved from fair to moderate with the addition of DWI (κ, from 0.390 to 0.560).

conclusionsAdding DWI to conventional MRI improved diagnostic performance on prediction of fascial involvement of soft tissue sarcomas located in proximity to fascia, without significant improvement in sensitivity or specificity. KEY POINTS: • Adding DWI to conventional MRI improved readers' confidence level for the prediction of fascial involvement of soft tissue sarcomas that are close to the deep fascia. • Addition of DWI also improved interobserver agreement. • Conversely, compared with conventional MRI, adding DWI did not significantly improve the sensitivity or specificity for the detection of fascial involvement.

Indexed as

Diffusion Magnetic Resonance ImagingAdultAgedAged, 80 and overContrast MediaFasciaFemaleHumansMagnetic Resonance ImagingMaleMiddle AgedRetrospective StudiesROC CurveSarcomaSensitivity and SpecificitySoft Tissue NeoplasmsContrast MediaDiffusion magnetic resonance imagingFasciaMagnetic resonance imagingSoft tissue sarcoma

Identifiers

PMID30324391
OpenAlexW2897113603

What OpenQuestion holds

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Registered trials

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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.