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A diagnosis model in nasopharyngeal carcinoma based on PET/MRI radiomics and semiquantitative parameters
BACKGROUND: The staging of nasopharyngeal carcinoma (NPC) is of great value in treatment and prognosis. We explored whether a positron emission tomography/ magnetic resonance imaging (PET/MRI) based comprehensive model of radiomics features and semiquantitative parameters was useful for clinical eva...
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9422112/ https://www.ncbi.nlm.nih.gov/pubmed/36038819 http://dx.doi.org/10.1186/s12880-022-00883-6 |
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author | Feng, Qi Liang, Jiangtao Wang, Luoyu Ge, Xiuhong Ding, Zhongxiang Wu, Haihong |
author_facet | Feng, Qi Liang, Jiangtao Wang, Luoyu Ge, Xiuhong Ding, Zhongxiang Wu, Haihong |
author_sort | Feng, Qi |
collection | PubMed |
description | BACKGROUND: The staging of nasopharyngeal carcinoma (NPC) is of great value in treatment and prognosis. We explored whether a positron emission tomography/ magnetic resonance imaging (PET/MRI) based comprehensive model of radiomics features and semiquantitative parameters was useful for clinical evaluation of NPC staging. MATERIALS AND METHODS: A total of 100 NPC patients diagnosed with non-keratinized undifferentiated carcinoma were divided into early-stage group (I—II) and advanced-stage group (III—IV) and divided into the training set (n = 70) and the testing set (n = 30). Radiomics features (n = 396 × 2) of the primary site of NPC were extracted from MRI and PET images, respectively. Three major semiquantitative parameters of primary sites including maximum standardized uptake value (SUVmax), metabolic tumor volume (MTV), and total lesion glycolysis (TLG) in all NPC patients were measured. After feature selection, three diagnostic models including the radiomics model, the metabolic parameter model, and the combined model were established using logistic regression model. Finally, internal validation was performed, and a nomogram for NPC comprehensive diagnosis has been made. RESULTS: The radiomics model and metabolic parameter model showed an area under the curve (AUC) of 0.83 and 0.80 in the testing set, respectively. The combined model based on radiomics and semiquantitative parameters showed an AUC of 0.90 in the testing set, with the best performance among the three models. CONCLUSION: The combined model based on PET/MRI radiomics and semiquantitative parameters is of great value in the evaluation of clinical stage (early-stage group and advanced-stage group) of NPC. |
format | Online Article Text |
id | pubmed-9422112 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-94221122022-08-30 A diagnosis model in nasopharyngeal carcinoma based on PET/MRI radiomics and semiquantitative parameters Feng, Qi Liang, Jiangtao Wang, Luoyu Ge, Xiuhong Ding, Zhongxiang Wu, Haihong BMC Med Imaging Research BACKGROUND: The staging of nasopharyngeal carcinoma (NPC) is of great value in treatment and prognosis. We explored whether a positron emission tomography/ magnetic resonance imaging (PET/MRI) based comprehensive model of radiomics features and semiquantitative parameters was useful for clinical evaluation of NPC staging. MATERIALS AND METHODS: A total of 100 NPC patients diagnosed with non-keratinized undifferentiated carcinoma were divided into early-stage group (I—II) and advanced-stage group (III—IV) and divided into the training set (n = 70) and the testing set (n = 30). Radiomics features (n = 396 × 2) of the primary site of NPC were extracted from MRI and PET images, respectively. Three major semiquantitative parameters of primary sites including maximum standardized uptake value (SUVmax), metabolic tumor volume (MTV), and total lesion glycolysis (TLG) in all NPC patients were measured. After feature selection, three diagnostic models including the radiomics model, the metabolic parameter model, and the combined model were established using logistic regression model. Finally, internal validation was performed, and a nomogram for NPC comprehensive diagnosis has been made. RESULTS: The radiomics model and metabolic parameter model showed an area under the curve (AUC) of 0.83 and 0.80 in the testing set, respectively. The combined model based on radiomics and semiquantitative parameters showed an AUC of 0.90 in the testing set, with the best performance among the three models. CONCLUSION: The combined model based on PET/MRI radiomics and semiquantitative parameters is of great value in the evaluation of clinical stage (early-stage group and advanced-stage group) of NPC. BioMed Central 2022-08-29 /pmc/articles/PMC9422112/ /pubmed/36038819 http://dx.doi.org/10.1186/s12880-022-00883-6 Text en © The Author(s) 2022 https://creativecommons.org/licenses/by/4.0/Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/ (https://creativecommons.org/publicdomain/zero/1.0/) ) applies to the data made available in this article, unless otherwise stated in a credit line to the data. |
spellingShingle | Research Feng, Qi Liang, Jiangtao Wang, Luoyu Ge, Xiuhong Ding, Zhongxiang Wu, Haihong A diagnosis model in nasopharyngeal carcinoma based on PET/MRI radiomics and semiquantitative parameters |
title | A diagnosis model in nasopharyngeal carcinoma based on PET/MRI radiomics and semiquantitative parameters |
title_full | A diagnosis model in nasopharyngeal carcinoma based on PET/MRI radiomics and semiquantitative parameters |
title_fullStr | A diagnosis model in nasopharyngeal carcinoma based on PET/MRI radiomics and semiquantitative parameters |
title_full_unstemmed | A diagnosis model in nasopharyngeal carcinoma based on PET/MRI radiomics and semiquantitative parameters |
title_short | A diagnosis model in nasopharyngeal carcinoma based on PET/MRI radiomics and semiquantitative parameters |
title_sort | diagnosis model in nasopharyngeal carcinoma based on pet/mri radiomics and semiquantitative parameters |
topic | Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9422112/ https://www.ncbi.nlm.nih.gov/pubmed/36038819 http://dx.doi.org/10.1186/s12880-022-00883-6 |
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