ReviewExploration of targeted anti-tumor therapy2023
Increasing differential diagnosis between lipoma and liposarcoma through radiomics: a narrative review.
Review in Exploration of targeted anti-tumor therapy, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers, 1 of them a synthesis that pooled it.
What it found
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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.
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.
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Who cites it
10 citing papers in PubMed, 1 synthesis or guideline pooled it, 10 citations in OpenAlex.
- Diagnostic performance and clinical utility of shear-wave elastography in musculoskeletal soft-tissue tumors: a systematic review.Frontiers in oncology · 2026Pooled it
- Giant mediastinal lipoma with bilateral hemithoracic extension in a young woman: a case report.Journal of medical case reports · 2026Article
- Liposarcoma: State of the Art-A Scoping Review.Medical sciences (Basel, Switzerland) · 2026Article
- Article
- Lipoblastoma of the chest wall: a case report of successful management of a rare cause of benign chest wall swelling.Annals of medicine and surgery (2012) · 2026Article
- Gastrocnemius-soleus intramuscular lipoma misinterpreted as hemangioma: a rare case report.Annals of medicine and surgery (2012) · 2025Article
- Patterns of Public Interest in Lipomas and Lipoma-Removal Procedures: Google Trends Analysis.JMIR dermatology · 2025Article
- A Rare Lower Extremity Intramuscular Lipoma With Heterotopic Ossification.Case reports in orthopedics · 2025Article
- Genomic profiling of cell-free DNA from dogs with benign and malignant tumors.BMC research notes · 2024Article
- [Importance and implementation of radiological modalities in the diagnostics of soft tissue tumors].Radiologie (Heidelberg, Germany) · 2024Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
11 authors at 2 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Soft tissue sarcomas (STSs) are rare, heterogeneous, and very often asymptomatic diseases. Their diagnosis is fundamental, as is the identification of the degree of malignancy, which may be high, medium, or low. The Italian Medical Oncology Association and European Society of Medical Oncology (ESMO) guidelines recommend magnetic resonance imaging (MRI) because the clinical examination is typically ineffective. The diagnosis of these rare diseases with artificial intelligence (AI) techniques presents reduced datasets and therefore less robust methods. However, the combination of AI techniques with radiomics may be a new angle in diagnosing rare diseases such as STSs. Results obtained are promising within the literature, not only for the performance but also for the explicability of the data. In fact, one can make tumor classification, site localization, and prediction of the risk of developing metastasis. Thanks to the synergy between computer scientists and radiologists, linking numerical features to radiological evidence with excellent performance could be a new step forward for the diagnosis of rare diseases.
Indexed as
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Registered trials
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.