Increasing differential diagnosis between lipoma and liposarcoma through radiomics: a narrative review
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)...
| Main Authors: | , , , , , , , , , , |
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| Format: | Article |
| Language: | English |
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Open Exploration Publishing Inc.
2023-06-01
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| Series: | Exploration of Targeted Anti-tumor Therapy |
| Subjects: | |
| Online Access: | https://www.explorationpub.com/Journals/etat/Article/1002147 |
| _version_ | 1797778346847764480 |
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| author | Raffaele Natella Giulia Varriano Maria Chiara Brunese Marcello Zappia Michela Bruno Michele Gallo Flavio Fazioli Igino Simonetti Vincenza Granata Luca Brunese Antonella Santone |
| author_facet | Raffaele Natella Giulia Varriano Maria Chiara Brunese Marcello Zappia Michela Bruno Michele Gallo Flavio Fazioli Igino Simonetti Vincenza Granata Luca Brunese Antonella Santone |
| author_sort | Raffaele Natella |
| collection | DOAJ |
| description | 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. |
| first_indexed | 2024-03-12T23:15:57Z |
| format | Article |
| id | doaj.art-ef7fc56a18a3467ab8690561dedc76e3 |
| institution | Directory Open Access Journal |
| issn | 2692-3114 |
| language | English |
| last_indexed | 2024-03-12T23:15:57Z |
| publishDate | 2023-06-01 |
| publisher | Open Exploration Publishing Inc. |
| record_format | Article |
| series | Exploration of Targeted Anti-tumor Therapy |
| spelling | doaj.art-ef7fc56a18a3467ab8690561dedc76e32023-07-17T07:42:42ZengOpen Exploration Publishing Inc.Exploration of Targeted Anti-tumor Therapy2692-31142023-06-014349851010.37349/etat.2023.00147Increasing differential diagnosis between lipoma and liposarcoma through radiomics: a narrative reviewRaffaele Natella0https://orcid.org/0000-0002-5093-8692Giulia Varriano1https://orcid.org/0000-0003-2489-6158Maria Chiara Brunese2Marcello Zappia3Michela Bruno4Michele Gallo5Flavio Fazioli6Igino Simonetti7Vincenza Granata8Luca Brunese9Antonella Santone10Department of Medicine and Health Sciences “Vincenzo Tiberio”, University of Molise, 86100 Campobasso, ItalyDepartment of Medicine and Health Sciences “Vincenzo Tiberio”, University of Molise, 86100 Campobasso, ItalyDepartment of Medicine and Health Sciences “Vincenzo Tiberio”, University of Molise, 86100 Campobasso, ItalyDepartment of Medicine and Health Sciences “Vincenzo Tiberio”, University of Molise, 86100 Campobasso, ItalyDepartment of Medicine and Health Sciences “Vincenzo Tiberio”, University of Molise, 86100 Campobasso, ItalyOrthopedics Oncology, National Cancer Institute IRCCS “Fondazione G. Pascale”, 80100 Naples, ItalyDepartment of Medicine and Health Sciences “Vincenzo Tiberio”, University of Molise, 86100 Campobasso, ItalyRadiology Division, National Cancer Institute IRCCS “Fondazione G. Pascale”, 80100 Naples, ItalyRadiology Division, National Cancer Institute IRCCS “Fondazione G. Pascale”, 80100 Naples, ItalyDepartment of Medicine and Health Sciences “Vincenzo Tiberio”, University of Molise, 86100 Campobasso, ItalyDepartment of Medicine and Health Sciences “Vincenzo Tiberio”, University of Molise, 86100 Campobasso, ItalySoft 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.https://www.explorationpub.com/Journals/etat/Article/1002147radiologyradiomicssoft tissue sarcomasliposarcomamagnetic resonance imaging |
| spellingShingle | Raffaele Natella Giulia Varriano Maria Chiara Brunese Marcello Zappia Michela Bruno Michele Gallo Flavio Fazioli Igino Simonetti Vincenza Granata Luca Brunese Antonella Santone Increasing differential diagnosis between lipoma and liposarcoma through radiomics: a narrative review Exploration of Targeted Anti-tumor Therapy radiology radiomics soft tissue sarcomas liposarcoma magnetic resonance imaging |
| title | Increasing differential diagnosis between lipoma and liposarcoma through radiomics: a narrative review |
| title_full | Increasing differential diagnosis between lipoma and liposarcoma through radiomics: a narrative review |
| title_fullStr | Increasing differential diagnosis between lipoma and liposarcoma through radiomics: a narrative review |
| title_full_unstemmed | Increasing differential diagnosis between lipoma and liposarcoma through radiomics: a narrative review |
| title_short | Increasing differential diagnosis between lipoma and liposarcoma through radiomics: a narrative review |
| title_sort | increasing differential diagnosis between lipoma and liposarcoma through radiomics a narrative review |
| topic | radiology radiomics soft tissue sarcomas liposarcoma magnetic resonance imaging |
| url | https://www.explorationpub.com/Journals/etat/Article/1002147 |
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