Evidence map›Paper›PMID 32742953›Full record

ArticleQuantitative imaging in medicine and surgery2020

Association of adipose tissue and skeletal muscle metrics with overall survival and postoperative complications in soft tissue sarcoma patients: an opportunistic study using computed tomography.

Robert D Boutin, Jeremy R Katz, Abhijit J Chaudhari, Jonathan G Yabes, Jonah S Hirschbein, Yves-Paul Nakache, J Anthony Seibert, Ramit Lamba, Ghaneh Fananapazir, Robert J Canter and 1 more

Abstract read
In one paragraph

Article in Quantitative imaging in medicine and surgery, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
17citing papers in PubMed, 2 pooled it
–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

17 citing papers in PubMed, 2 syntheses or guidelines pooled it.

  1. Pooled it
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  15. Impact of sarcopenia in advanced and metastatic soft tissue sarcoma.International journal of clinical oncology · 2021
    Article
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  17. Body composition imaging.Quantitative imaging in medicine and surgery · 2020
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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

11 authors.

Robert D BoutinDepartment of Radiology, Stanford University Medical Center, Stanford, CA, USA.
Jeremy R KatzIntegrated Imaging Associates, Oak Lawn, IL, USA.
Abhijit J ChaudhariDepartment of Radiology, University of California, Davis, School of Medicine, Sacramento, CA, USA.
Jonathan G YabesDepartment of Biostatistics, University of Pittsburgh, Pittsburgh, PA, USA.
Jonah S HirschbeinEmeryville Advanced Imaging, Emeryville, CA, USA.
Yves-Paul NakacheDepartment of Internal Medicine, Santa Clara Valley Medical Center, San Jose, CA, USA.
J Anthony SeibertDepartment of Radiology, University of California, Davis, School of Medicine, Sacramento, CA, USA.
Ramit LambaDepartment of Radiology, University of California, Davis, School of Medicine, Sacramento, CA, USA.
Ghaneh FananapazirDepartment of Radiology, University of California, Davis, School of Medicine, Sacramento, CA, USA.
Robert J CanterDepartment of Surgery, University of California, Davis, School of Medicine, Sacramento, CA, USA.
Leon LenchikDepartment of Radiology, Wake Forest School of Medicine, Winston-Salem, NC, USA.

Funding

Staff InvestigatorsP30CA093373 · NCI · UNIVERSITY OF CALIFORNIA DAVIS · PI Gina M Dayton · 2002 to 2026
$84.9M
NCI NIH HHS P30 CA093373
6 · The paper itself

Abstract

backgroundTo determine the relationship between adipose tissue and skeletal muscle measurements on computed tomography (CT) and overall survival and major postoperative complications in patients with soft-tissue sarcoma (STS).

methodsThe retrospective study included 137 STS patients (75 men, 62 women; mean age, 53 years, SD 17.7; mean BMI, 28.5, SD 6.6) who had abdominal CT exams. On a single CT image, at the L4 pedicle level, measurements of visceral adipose tissue (VAT), subcutaneous adipose tissue (SAT), and skeletal muscle area and attenuation were obtained using clinical PACS and specialized segmentation software. Clinical information was recorded, including STS characteristics (size, depth, grade, stage, and site), overall survival, and postoperative complications. The relationships between CT metrics and survival were analyzed using Cox proportional hazard models and those between CT metrics and postoperative complications using logistic regression models.

resultsThere were 33 deaths and 41 major postoperative complications. Measured on clinical PACS, the psoas area (P=0.003), psoas index (P=0.006), psoas attenuation (P=0.011), and total muscle attenuation (P=0.023) were associated with overall survival. Using specialized software, psoas attenuation was also associated with overall survival (P=0.018). Adipose tissue metrics were not associated with survival or postoperative complications.

conclusionsIn STS patients, CT-derived muscle size and attenuation are associated with overall survival. These prognostic biomarkers can be obtained using specialized segmentation software or routine clinical PACS.

Indexed as

Computed tomography (CT)musclemyosteatosissarcopeniasoft-tissue sarcoma (STS)

Identifiers

PMID32742953
PMCPMC7378098

What OpenQuestion holds

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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.