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Radiomics Applications in Spleen Imaging: A Systematic Review and Methodological Quality Assessment
The spleen, often referred to as the “forgotten organ”, plays numerous important roles in various diseases. Recently, there has been an increased interest in the application of radiomics in different areas of medical imaging. This systematic review aims to assess the current state of the art and eva...
Autores principales: | , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10453085/ https://www.ncbi.nlm.nih.gov/pubmed/37627882 http://dx.doi.org/10.3390/diagnostics13162623 |
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author | Fanni, Salvatore Claudio Febi, Maria Francischello, Roberto Caputo, Francesca Pia Ambrosini, Ilaria Sica, Giacomo Faggioni, Lorenzo Masala, Salvatore Tonerini, Michele Scaglione, Mariano Cioni, Dania Neri, Emanuele |
author_facet | Fanni, Salvatore Claudio Febi, Maria Francischello, Roberto Caputo, Francesca Pia Ambrosini, Ilaria Sica, Giacomo Faggioni, Lorenzo Masala, Salvatore Tonerini, Michele Scaglione, Mariano Cioni, Dania Neri, Emanuele |
author_sort | Fanni, Salvatore Claudio |
collection | PubMed |
description | The spleen, often referred to as the “forgotten organ”, plays numerous important roles in various diseases. Recently, there has been an increased interest in the application of radiomics in different areas of medical imaging. This systematic review aims to assess the current state of the art and evaluate the methodological quality of radiomics applications in spleen imaging. A systematic search was conducted on PubMed, Scopus, and Web of Science. All the studies were analyzed, and several characteristics, such as year of publication, research objectives, and number of patients, were collected. The methodological quality was evaluated using the radiomics quality score (RQS). Fourteen articles were ultimately included in this review. The majority of these articles were published in non-radiological journals (78%), utilized computed tomography (CT) for extracting radiomic features (71%), and involved not only the spleen but also other organs for feature extraction (71%). Overall, the included papers achieved an average RQS total score of 9.71 ± 6.37, corresponding to an RQS percentage of 27.77 ± 16.04. In conclusion, radiomics applications in spleen imaging demonstrate promising results in various clinical scenarios. However, despite all the included papers reporting positive outcomes, there is a lack of consistency in the methodological approaches employed. |
format | Online Article Text |
id | pubmed-10453085 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-104530852023-08-26 Radiomics Applications in Spleen Imaging: A Systematic Review and Methodological Quality Assessment Fanni, Salvatore Claudio Febi, Maria Francischello, Roberto Caputo, Francesca Pia Ambrosini, Ilaria Sica, Giacomo Faggioni, Lorenzo Masala, Salvatore Tonerini, Michele Scaglione, Mariano Cioni, Dania Neri, Emanuele Diagnostics (Basel) Review The spleen, often referred to as the “forgotten organ”, plays numerous important roles in various diseases. Recently, there has been an increased interest in the application of radiomics in different areas of medical imaging. This systematic review aims to assess the current state of the art and evaluate the methodological quality of radiomics applications in spleen imaging. A systematic search was conducted on PubMed, Scopus, and Web of Science. All the studies were analyzed, and several characteristics, such as year of publication, research objectives, and number of patients, were collected. The methodological quality was evaluated using the radiomics quality score (RQS). Fourteen articles were ultimately included in this review. The majority of these articles were published in non-radiological journals (78%), utilized computed tomography (CT) for extracting radiomic features (71%), and involved not only the spleen but also other organs for feature extraction (71%). Overall, the included papers achieved an average RQS total score of 9.71 ± 6.37, corresponding to an RQS percentage of 27.77 ± 16.04. In conclusion, radiomics applications in spleen imaging demonstrate promising results in various clinical scenarios. However, despite all the included papers reporting positive outcomes, there is a lack of consistency in the methodological approaches employed. MDPI 2023-08-08 /pmc/articles/PMC10453085/ /pubmed/37627882 http://dx.doi.org/10.3390/diagnostics13162623 Text en © 2023 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Review Fanni, Salvatore Claudio Febi, Maria Francischello, Roberto Caputo, Francesca Pia Ambrosini, Ilaria Sica, Giacomo Faggioni, Lorenzo Masala, Salvatore Tonerini, Michele Scaglione, Mariano Cioni, Dania Neri, Emanuele Radiomics Applications in Spleen Imaging: A Systematic Review and Methodological Quality Assessment |
title | Radiomics Applications in Spleen Imaging: A Systematic Review and Methodological Quality Assessment |
title_full | Radiomics Applications in Spleen Imaging: A Systematic Review and Methodological Quality Assessment |
title_fullStr | Radiomics Applications in Spleen Imaging: A Systematic Review and Methodological Quality Assessment |
title_full_unstemmed | Radiomics Applications in Spleen Imaging: A Systematic Review and Methodological Quality Assessment |
title_short | Radiomics Applications in Spleen Imaging: A Systematic Review and Methodological Quality Assessment |
title_sort | radiomics applications in spleen imaging: a systematic review and methodological quality assessment |
topic | Review |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10453085/ https://www.ncbi.nlm.nih.gov/pubmed/37627882 http://dx.doi.org/10.3390/diagnostics13162623 |
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