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Radiomics of Biliary Tumors: A Systematic Review of Current Evidence
Biliary tumors are rare diseases with major clinical unmet needs. Standard imaging modalities provide neither a conclusive diagnosis nor robust biomarkers to drive treatment planning. In several neoplasms, texture analyses non-invasively unveiled tumor characteristics and aggressiveness. The present...
Autores principales: | , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9024804/ https://www.ncbi.nlm.nih.gov/pubmed/35453878 http://dx.doi.org/10.3390/diagnostics12040826 |
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author | Fiz, Francesco Jayakody Arachchige, Visala S Gionso, Matteo Pecorella, Ilaria Selvam, Apoorva Wheeler, Dakota Russell Sollini, Martina Viganò, Luca |
author_facet | Fiz, Francesco Jayakody Arachchige, Visala S Gionso, Matteo Pecorella, Ilaria Selvam, Apoorva Wheeler, Dakota Russell Sollini, Martina Viganò, Luca |
author_sort | Fiz, Francesco |
collection | PubMed |
description | Biliary tumors are rare diseases with major clinical unmet needs. Standard imaging modalities provide neither a conclusive diagnosis nor robust biomarkers to drive treatment planning. In several neoplasms, texture analyses non-invasively unveiled tumor characteristics and aggressiveness. The present manuscript aims to summarize the available evidence about the role of radiomics in the management of biliary tumors. A systematic review was carried out through the most relevant databases. Original, English-language articles published before May 2021 were considered. Three main outcome measures were evaluated: prediction of pathology data; prediction of survival; and differential diagnosis. Twenty-seven studies, including a total of 3605 subjects, were identified. Mass-forming intrahepatic cholangiocarcinoma (ICC) was the subject of most studies (n = 21). Radiomics reliably predicted lymph node metastases (range, AUC = 0.729–0.900, accuracy = 0.69–0.83), tumor grading (AUC = 0.680–0.890, accuracy = 0.70–0.82), and survival (C-index = 0.673–0.889). Textural features allowed for the accurate differentiation of ICC from HCC, mixed HCC-ICC, and inflammatory masses (AUC > 0.800). For all endpoints (pathology/survival/diagnosis), the predictive/prognostic models combining radiomic and clinical data outperformed the standard clinical models. Some limitations must be acknowledged: all studies are retrospective; the analyzed imaging modalities and phases are heterogeneous; the adoption of signatures/scores limits the interpretability and applicability of results. In conclusion, radiomics may play a relevant role in the management of biliary tumors, from diagnosis to treatment planning. It provides new non-invasive biomarkers, which are complementary to the standard clinical biomarkers; however, further studies are needed for their implementation in clinical practice. |
format | Online Article Text |
id | pubmed-9024804 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-90248042022-04-23 Radiomics of Biliary Tumors: A Systematic Review of Current Evidence Fiz, Francesco Jayakody Arachchige, Visala S Gionso, Matteo Pecorella, Ilaria Selvam, Apoorva Wheeler, Dakota Russell Sollini, Martina Viganò, Luca Diagnostics (Basel) Review Biliary tumors are rare diseases with major clinical unmet needs. Standard imaging modalities provide neither a conclusive diagnosis nor robust biomarkers to drive treatment planning. In several neoplasms, texture analyses non-invasively unveiled tumor characteristics and aggressiveness. The present manuscript aims to summarize the available evidence about the role of radiomics in the management of biliary tumors. A systematic review was carried out through the most relevant databases. Original, English-language articles published before May 2021 were considered. Three main outcome measures were evaluated: prediction of pathology data; prediction of survival; and differential diagnosis. Twenty-seven studies, including a total of 3605 subjects, were identified. Mass-forming intrahepatic cholangiocarcinoma (ICC) was the subject of most studies (n = 21). Radiomics reliably predicted lymph node metastases (range, AUC = 0.729–0.900, accuracy = 0.69–0.83), tumor grading (AUC = 0.680–0.890, accuracy = 0.70–0.82), and survival (C-index = 0.673–0.889). Textural features allowed for the accurate differentiation of ICC from HCC, mixed HCC-ICC, and inflammatory masses (AUC > 0.800). For all endpoints (pathology/survival/diagnosis), the predictive/prognostic models combining radiomic and clinical data outperformed the standard clinical models. Some limitations must be acknowledged: all studies are retrospective; the analyzed imaging modalities and phases are heterogeneous; the adoption of signatures/scores limits the interpretability and applicability of results. In conclusion, radiomics may play a relevant role in the management of biliary tumors, from diagnosis to treatment planning. It provides new non-invasive biomarkers, which are complementary to the standard clinical biomarkers; however, further studies are needed for their implementation in clinical practice. MDPI 2022-03-28 /pmc/articles/PMC9024804/ /pubmed/35453878 http://dx.doi.org/10.3390/diagnostics12040826 Text en © 2022 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 Fiz, Francesco Jayakody Arachchige, Visala S Gionso, Matteo Pecorella, Ilaria Selvam, Apoorva Wheeler, Dakota Russell Sollini, Martina Viganò, Luca Radiomics of Biliary Tumors: A Systematic Review of Current Evidence |
title | Radiomics of Biliary Tumors: A Systematic Review of Current Evidence |
title_full | Radiomics of Biliary Tumors: A Systematic Review of Current Evidence |
title_fullStr | Radiomics of Biliary Tumors: A Systematic Review of Current Evidence |
title_full_unstemmed | Radiomics of Biliary Tumors: A Systematic Review of Current Evidence |
title_short | Radiomics of Biliary Tumors: A Systematic Review of Current Evidence |
title_sort | radiomics of biliary tumors: a systematic review of current evidence |
topic | Review |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9024804/ https://www.ncbi.nlm.nih.gov/pubmed/35453878 http://dx.doi.org/10.3390/diagnostics12040826 |
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