Evidence map›Paper›PMID 40970788›Full record

ArticleRadiology. Imaging cancer2025

Comparing Whole-Body Diffusion-weighted MRI to Conventional Imaging: Staging Pediatric Bone and Soft-Tissue Sarcomas.

M Beth McCarville, Shengjie Wu, Yimei Li, Sue C Kaste, Michael Bishop, Mikhail Doubrovin, Alberto S Pappo, Matthew Krasin, Claudia M Hillenbrand

Abstract readComparative Study
In one paragraph

Article in Radiology. Imaging cancer, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

5 citing papers in PubMed.

  1. Review
  2. Whole-Body MRI VersusCancers · 2026
    Article
  3. Review
  4. Article
  5. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

9 authors.

M Beth McCarvilleDepartment of Radiology, St. Jude Children's Research Hospital, 262 Danny Thomas Place, Memphis, TN 38105.ORCID 0000-0002-2888-443X
Shengjie WuDepartment of Biostatistics, St. Jude Children's Research Hospital, Memphis, Tenn.
Yimei LiDepartment of Biostatistics, St. Jude Children's Research Hospital, Memphis, Tenn.
Sue C KasteDepartment of Radiology, St. Jude Children's Research Hospital, 262 Danny Thomas Place, Memphis, TN 38105.
Michael BishopDepartment of Oncology, St. Jude Children's Research Hospital, Memphis, Tenn.
Mikhail DoubrovinDepartment of Radiology, St. Jude Children's Research Hospital, 262 Danny Thomas Place, Memphis, TN 38105.
Alberto S PappoDepartment of Oncology, St. Jude Children's Research Hospital, Memphis, Tenn.
Matthew KrasinDepartment of Radiation Oncology, St. Jude Children's Research Hospital, Memphis, Tenn.ORCID 0000-0001-5421-765X
Claudia M HillenbrandResearch Imaging NSW, Division of Research and Enterprise, University of New South Wales, Sydney, Australia.ORCID 0000-0001-8694-2178

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Purpose To determine agreement between conventional staging and whole-body (WB) diffusion-weighted imaging (DWI) MRI in newly diagnosed pediatric sarcomas and to compare the sensitivity, specificity, positive predictive value (PPV), and negative predictive value (NPV) of each approach for lesion detection. Materials and Methods In this prospective single-center study (January 2014-February 2019), 47 participants (25 male participants; median age, 11.7 years [IQR, 7.49-15.63 years]) with Ewing sarcoma (

Indexed as

Bone NeoplasmsDiffusion Magnetic Resonance ImagingSarcomaSoft Tissue NeoplasmsWhole Body ImagingAdolescentChildFemaleHumansMaleNeoplasm StagingPositron Emission Tomography Computed TomographyPredictive Value of TestsProspective StudiesSensitivity and SpecificityDiffusion-weighted MRIPediatricSarcomaStagingWhole-Body Imaging

Identifiers

PMID40970788
PMCPMC12492423

What OpenQuestion holds

Textmetadata
Read underepoch 390

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.