Evidence map›Paper›PMID 36615079›Full record

ArticleJournal of clinical medicine2022

Prognostic Value of Pre-Treatment [18F]FDG PET/CT Texture Analysis in Undifferentiated Soft-Tissue Sarcoma.

Alessio Annovazzi, Virginia Ferraresi, Renato Covello, Andrea Ascione, Sabrina Vari, Maria Grazia Petrongari, Jacopo Baldi, Roberto Biagini, Rosa Sciuto

Open access · goldAbstract read
In one paragraph

Article in Journal of clinical medicine, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed, 1 pooled it
1.5field-weighted citation impact, top 16% 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

7 citing papers in PubMed, 1 synthesis or guideline pooled it, 10 citations in OpenAlex.

  1. Prognostic significance ofCancer imaging : the official publication of the International Cancer Imaging Society · 2025
    Pooled it
  2. [European journal of nuclear medicine and molecular imaging · 2026
    Article
  3. Review
  4. Texture analysis and metabolic parameters ofEuropean journal of nuclear medicine and molecular imaging · 2025
    Article
  5. Peritumoral Adipose Tissue Features Derived from [Journal of personalized medicine · 2024
    Article
  6. Review
  7. 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 2 institutions in 1 country.

Alessio AnnovazziNuclear Medicine Unit, IRCCS-Regina Elena National Cancer Institute, 00144 Rome, Italy.ORCID 0000-0002-4887-7982
Virginia FerraresiSarcomas and Rare Tumors Departmental Unit, IRCCS-Regina Elena National Cancer Institute, 00144 Rome, Italy.
Renato CovelloDepartment of Pathology, IRCCS-Regina Elena National Cancer Institute, 00144 Rome, Italy.ORCID 0000-0001-8505-4427
Andrea AscioneDepartment of Radiological, Oncological and Pathological Sciences, Sapienza University of Rome, 00161 Rome, Italy.ORCID 0000-0002-4253-3193
Sabrina VariSarcomas and Rare Tumors Departmental Unit, IRCCS-Regina Elena National Cancer Institute, 00144 Rome, Italy.
Maria Grazia PetrongariDepartment of Radiation Oncology, IRCCS-Regina Elena National Cancer Institute, 00144 Rome, Italy.
Jacopo BaldiOncological Orthopaedics Unit, IRCCS-Regina Elena National Cancer Institute, 00144 Rome, Italy.
Roberto BiaginiOncological Orthopaedics Unit, IRCCS-Regina Elena National Cancer Institute, 00144 Rome, Italy.
Rosa SciutoNuclear Medicine Unit, IRCCS-Regina Elena National Cancer Institute, 00144 Rome, Italy.
Istituti di Ricovero e Cura a Carattere Scientifico · ITSapienza University of Rome · IT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundUndifferentiated soft-tissue sarcomas (USTS) are one of the most common sarcoma histotypes in adults. The standard of care is surgical excision plus adjuvant radiotherapy, while the use of perioperative chemotherapy is still controversial. The aim of this study was to investigate the value of pre-treatment [18F]FDG PET/CT conventional metrics and textural features in predicting disease-free survival (DFS) and overall survival (OS) in patients with USTS of the limbs and trunk.

methods[18F]FDG PET/CT scans of 51 consecutive patients with locally advanced USTS were retrospectively evaluated. Conventional and textural PET parameters were analysed and tested as predictive factors for DFS and OS.

resultsDuring a median follow up of 50.7 months, 23 (45.1%) and 29 (56.9%) patients had death or disease progression, respectively. Univariate analysis revealed a significant association for perioperative treatment, PET volumetric parameters and the textural feature GLCM_correlation with DFS and OS. In multivariate analysis, perioperative treatment and GLCM_correlation were the only independent factors, allowing stratification of the population into three different prognostic classes.

conclusionGLCM_correlation can identify USTS at high risk of relapse and death, thus helping to optimize the perioperative treatment of patients.

Indexed as

18F-FDGPET/CTpredictive valueradiomicsundifferentiated soft-tissue sarcoma

Identifiers

PMID36615079
PMCPMC9821547
OpenAlexW4313361308

What OpenQuestion holds

Textmetadata
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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.