Evidence map›Paper›PMID 31834507›Full record

SynthesisEuropean radiology2020

The role of radiological and hybrid imaging for muscle metastases: a systematic review.

Amalia Lupi, Michael Weber, Paolo Del Fiore, Marco Rastrelli, Giuseppe Guglielmi, Roberto Stramare, Emilio Quaia, Diego Cecchin, Chiara Giraudo

Abstract readSystematic Review
PubMed Publisher
In one paragraph

Synthesis in European radiology, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
0.5field-weighted citation impact, top 30% 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

9 citing papers in PubMed, 11 citations in OpenAlex.

  1. Article
  2. Review
  3. Striated muscle: an inadequate soil for cancers.Cancer metastasis reviews · 2024
    Review
  4. Article
  5. Article
  6. Review
  7. Pancreatic Cancer with a Skeletal Muscle Metastasis-A Case Presentation and Literature Review.Journal of community hospital internal medicine perspectives · 2022
    Article
  8. Article
  9. 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

9 authors at 4 institutions in 2 countries.

Amalia LupiRadiology Institute, Department of Medicine - DIMED, University of Padova, Via Giustiniani 2, 35100, Padova, Italy.
Michael WeberDepartment of Biomedical Imaging and Image-guided Therapy, Medical University of Vienna, Vienna, Austria.
Paolo Del FioreSurgical Oncology Unit, Veneto Institute of Oncology - IOV, Padova, Italy.
Marco RastrelliSurgical Oncology Unit, Veneto Institute of Oncology - IOV, Padova, Italy.
Giuseppe GuglielmiDepartment of Radiology, Scientific Institute "Casa Sollievo della Sofferenza" Hospital, University of Foggia, Foggia, Italy.
Roberto StramareRadiology Institute, Department of Medicine - DIMED, University of Padova, Via Giustiniani 2, 35100, Padova, Italy.
Emilio QuaiaRadiology Institute, Department of Medicine - DIMED, University of Padova, Via Giustiniani 2, 35100, Padova, Italy.
Diego CecchinNuclear Medicine Unit, Department of Medicine - DIMED, University of Padova, Padova, Italy.
Chiara GiraudoRadiology Institute, Department of Medicine - DIMED, University of Padova, Via Giustiniani 2, 35100, Padova, Italy. chiara.giraudo@unipd.it.ORCID http://orcid.org/0000-0003-0924-5883
University of Padua · ITIstituto Oncologico Veneto · ITMedical University of Vienna · ATUniversity of Foggia · IT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

aim of the studySkeletal muscle metastases (SMM) are a rare entity, mainly detected at autopsy. Nevertheless, radiological and nuclear medicine imaging can contribute to the diagnosis with a significant impact on the treatment and prognosis of neoplastic patients. This study aimed to systematically review the features of SMM at imaging considering the primary tumors and the sites of occurrence. MATERIALS AND

methodsWe conducted a systematic search of three electronic database (i.e., PubMed, Science Direct, and Web of Science) up to May 2019, without any language or time interval restriction. Two reviewers performed the search and selection process, data extraction, and synthesis. We resolved disagreements by consensus and/or involving a third reviewer. The included studies have been classified according to the Oxford Centre for Evidence Based Medicine (CEBM) grading system.

resultsOut of 8598 and 1077 articles respectively for radiological and hybrid imaging, 29 papers were included. According to CEBM, twelve were level 4. Computed tomography (CT) is mainly applied and, despite the existence of CT and magnetic resonance-based classifications, these are rarely used. Positron emission tomography/CT allowed the detection of small and subtle lesion also in the extremities. Muscles of the trunk were mostly affected and mainly respiratory tumors are associated with this type of metastatic spread.

conclusionRadiological and hybrid imaging allow a precise characterization of SMM. However, a more systematic approach, including also the application of available classification systems, may increase the diagnostic accuracy for this rare type of metastases. KEY POINTS: • Skeletal muscle metastases have heterogeneous characteristics at imaging but mostly abscess-like features and high metabolic activity are described. • Skeletal muscle metastases mainly affect the muscles of the trunk. • Pulmonary, urological, and gastrointestinal cancers are the most frequent cause of skeletal muscle metastases.

Indexed as

Gastrointestinal NeoplasmsHumansLung NeoplasmsMagnetic Resonance ImagingMultimodal ImagingMuscle NeoplasmsMuscle, SkeletalNeoplasms, Unknown PrimaryPositron-Emission TomographyPositron Emission Tomography Computed TomographyPrognosisTomography, X-Ray ComputedTorsoUrologic NeoplasmsMagnetic resonanceMetastasisMultislice computed tomographyMusclesPositron emission tomography-computed tomography

Identifiers

PMID31834507
OpenAlexW2995236681

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.