Evidence map›Paper›PMID 35847882›Full record

ReviewFrontiers in oncology2022

Virtual Biopsy in Soft Tissue Sarcoma. How Close Are We?

Amani Arthur, Edward W Johnston, Jessica M Winfield, Matthew D Blackledge, Robin L Jones, Paul H Huang, Christina Messiou

Abstract readReview
In one paragraph

Review in Frontiers in oncology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing 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

8 citing papers in PubMed.

  1. Article
  2. Review
  3. Review
  4. Article
  5. Review
  6. Article
  7. Article
  8. Review
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.

Amani ArthurDivision of Radiotherapy and Imaging, The Institute of Cancer Research, Sutton, United Kingdom.
Edward W JohnstonSarcoma Unit, The Royal Marsden National Health Service (NHS) Foundation Trust, London, United Kingdom.
Jessica M WinfieldDivision of Radiotherapy and Imaging, The Institute of Cancer Research, Sutton, United Kingdom.
Matthew D BlackledgeDivision of Radiotherapy and Imaging, The Institute of Cancer Research, Sutton, United Kingdom.
Robin L JonesSarcoma Unit, The Royal Marsden National Health Service (NHS) Foundation Trust, London, United Kingdom.
Paul H HuangDivision of Molecular Pathology, The Institute of Cancer Research, Sutton, United Kingdom.
Christina MessiouDivision of Radiotherapy and Imaging, The Institute of Cancer Research, Sutton, United Kingdom.

Funding

Wellcome Trust
6 · The paper itself

Abstract

A shift in radiology to a data-driven specialty has been unlocked by synergistic developments in imaging biomarkers (IB) and computational science. This is advancing the capability to deliver "virtual biopsies" within oncology. The ability to non-invasively probe tumour biology both spatially and temporally would fulfil the potential of imaging to inform management of complex tumours; improving diagnostic accuracy, providing new insights into inter- and intra-tumoral heterogeneity and individualised treatment planning and monitoring. Soft tissue sarcomas (STS) are rare tumours of mesenchymal origin with over 150 histological subtypes and notorious heterogeneity. The combination of inter- and intra-tumoural heterogeneity and the rarity of the disease remain major barriers to effective treatments. We provide an overview of the process of successful IB development, the key imaging and computational advancements in STS including quantitative magnetic resonance imaging, radiomics and artificial intelligence, and the studies to date that have explored the potential biological surrogates to imaging metrics. We discuss the promising future directions of IBs in STS and illustrate how the routine clinical implementation of a virtual biopsy has the potential to revolutionise the management of this group of complex cancers and improve clinical outcomes.

Indexed as

imaging biomarkerMRIquantitative MRI (qMRI)radiology pathology correlationradiomicssarcomasoft tissue sarcoma (STS)virtual biopsy

Identifiers

PMID35847882
PMCPMC9286756

What Socratic 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 Socratic graph.