Evidence map›Paper›PMID 34052920›Full record

ReviewEuropean journal of orthopaedic surgery & traumatology : orthopedie traumatologie2021

Magnetic resonance imaging of soft tissue sarcoma: features related to prognosis.

Giulia Scalas, Anna Parmeggiani, Claudia Martella, Gianmarco Tuzzato, Giuseppe Bianchi, Giancarlo Facchini, Roberta Clinca, Paolo Spinnato

Abstract readReview
PubMed Publisher
In one paragraph

Review in European journal of orthopaedic surgery & traumatology : orthopedie traumatologie, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 34 papers.

0numbers the graph read from it
0cells of the map it votes in
34citing papers in PubMed
4.5field-weighted citation impact, top 4% 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

34 citing papers in PubMed, 47 citations in OpenAlex.

  1. Article
  2. Review
  3. MRI features outperform histologic grade for outcome prediction in translocation-driven enriched soft-tissue sarcoma.Cancer imaging : the official publication of the International Cancer Imaging Society · 2026
    Article
  4. Liposarcoma: State of the Art-A Scoping Review.Medical sciences (Basel, Switzerland) · 2026
    Article
  5. Article
  6. Article
  7. Article
  8. Article
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  11. Review
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  16. Review
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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 at 2 institutions in 1 country.

Giulia ScalasDiagnostic and Interventional Radiology, IRCCS Istituto Ortopedico Rizzoli, Via GC Pupilli n 1, 40136, Bologna, Italy.
Anna ParmeggianiDiagnostic and Interventional Radiology, IRCCS Istituto Ortopedico Rizzoli, Via GC Pupilli n 1, 40136, Bologna, Italy.
Claudia MartellaDiagnostic and Interventional Radiology, IRCCS Istituto Ortopedico Rizzoli, Via GC Pupilli n 1, 40136, Bologna, Italy.
Gianmarco TuzzatoOrthopaedic Oncology, IRCCS Istituto Ortopedico Rizzoli, Bologna, Italy.
Giuseppe BianchiOrthopaedic Oncology, IRCCS Istituto Ortopedico Rizzoli, Bologna, Italy.
Giancarlo FacchiniDiagnostic and Interventional Radiology, IRCCS Istituto Ortopedico Rizzoli, Via GC Pupilli n 1, 40136, Bologna, Italy.
Roberta ClincaDepartment of Radiology, Ospedale degli Infermi, Faenza, Italy.
Paolo SpinnatoDiagnostic and Interventional Radiology, IRCCS Istituto Ortopedico Rizzoli, Via GC Pupilli n 1, 40136, Bologna, Italy. Paolo.spinnato1982@gmail.com.ORCID http://orcid.org/0000-0001-6060-3215
Istituto Ortopedico Rizzoli · ITOspedale degli Infermi · IT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Magnetic Resonance Imaging is a fundamental tool in the evaluation of soft tissue sarcoma. Imaging features are relevant for the assessment of treatment strategies, surgical planning and also for patients' prognosis prediction. Among soft tissue sarcoma and also other malignancies, the size of the mass is usually considered the prognostic key element in diagnostic imaging. Moreover, several other features should be obtained from MRI studies with prognostic implications in all type of soft tissue sarcoma: peritumoral enhancement, signs of necrosis, deep location, ill-defined borders/signs of infiltrations. Focusing on soft tissue sarcoma subtypes, some other magnetic resonance imaging features are more specific and related to prognosis. In myxofibrosarcoma the magnetic resonance imaging "tail sign" and a "water-like" appearance on fluid-sensitive sequences, due to rich myxoid matrix content, are both associated with higher risk of local recurrence after surgical excision; nevertheless, the "tail sign" is also related to a higher risk of distant metastases at diagnosis. The "tail sign" is associated with higher risk of local recurrence after surgical excision in undifferentiated pleomorphic sarcoma as well. In patients affected by synovial sarcoma, the "triple sign" identifiable in magnetic resonance imaging (T2w sequences) is associated with decreased disease-free survival and indicates the simultaneous presence of solid cellular elements (intermediate signal intensity), hemorrhage or necrosis (high signal intensity) and fibrotic regions (low signal intensity). In addition, absence of calcifications are associated with reduced disease-free survival in patients affected by synovial sarcoma. Signal heterogeneity is associated with worst prognosis in all type of soft tissue sarcoma, particularly in myxoid liposarcoma. In recent years, several new quantitative tools applied on magnetic resonance imaging have been proved to predict patients' prognosis. Above all the new tools, radiomics seems to be one of the most promising, and, has been proved to have the capability in discriminating low-grade from high-grade soft tissue sarcomas. Therefore, magnetic resonance imaging studies in patients with soft tissue sarcoma should be accurately evaluated and their results should be taken into account for prognostic assessment.

Indexed as

SarcomaSoft Tissue NeoplasmsAdultHumansMagnetic Resonance ImagingNeoplasm Recurrence, LocalPrognosisRetrospective StudiesLocalMagnetic resonance imagingNeoplasm metastasisNeoplasm recurrencePrognosisSarcomaSoft tissue

Identifiers

PMID34052920
OpenAlexW3164086790

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.