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A Radiomics-Based Model with the Potential to Differentiate Growth Hormone Deficiency and Idiopathic Short Stature on Sella MRI

PURPOSE: We hypothesized that a radiomics approach could be employed to classify children with growth hormone deficiency (GHD) and idiopathic short stature (ISS) on sella magnetic resonance imaging (MRI). Accordingly, we aimed to develop a radiomics prediction model for differentiating GHD from ISS...

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Autores principales: Lee, Taeyoun, Song, Kyungchul, Sohn, Beomseok, Eom, Jihwan, Ahn, Sung Soo, Kim, Ho-Seong, Lee, Seung-Koo
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Yonsei University College of Medicine 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9424774/
https://www.ncbi.nlm.nih.gov/pubmed/36031786
http://dx.doi.org/10.3349/ymj.2022.63.9.856
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author Lee, Taeyoun
Song, Kyungchul
Sohn, Beomseok
Eom, Jihwan
Ahn, Sung Soo
Kim, Ho-Seong
Lee, Seung-Koo
author_facet Lee, Taeyoun
Song, Kyungchul
Sohn, Beomseok
Eom, Jihwan
Ahn, Sung Soo
Kim, Ho-Seong
Lee, Seung-Koo
author_sort Lee, Taeyoun
collection PubMed
description PURPOSE: We hypothesized that a radiomics approach could be employed to classify children with growth hormone deficiency (GHD) and idiopathic short stature (ISS) on sella magnetic resonance imaging (MRI). Accordingly, we aimed to develop a radiomics prediction model for differentiating GHD from ISS and to evaluate the diagnostic performance thereof. MATERIALS AND METHODS: Short stature pediatric patients diagnosed with GHD or ISS from March 2011 to July 2020 at our institution were recruited. We enrolled 312 patients (GHD 210, ISS 102) with normal sella MRI and temporally split them into training and test sets (7:3). Pituitary glands were semi-automatically segmented, and 110 radiomic features were extracted from the coronal T2-weighted images. Feature selection and model development were conducted by applying mutual information (MI) and a light gradient boosting machine, respectively. After training, the model’s performance was validated in the test set. We calculated mean absolute Shapley values for each of the selected input features using the Shapley additive explanations (SHAP) algorithm. Volumetric comparison was performed for GHD and ISS groups. RESULTS: Ten radiomic features were selected by MI. The receiver operating characteristics curve of the developed model in the test set was 0.705, with an accuracy of 70.6%. When analyzing SHAP plots, root mean squared values had the highest impact in the model, followed by various texture features. In volumetric analysis, sagittal height showed a significant difference between GHD and ISS groups. CONCLUSION: Radiomic analysis of sella MRI may be able to differentiate between GHD and ISS in clinical practice for short-statured children.
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spelling pubmed-94247742022-09-01 A Radiomics-Based Model with the Potential to Differentiate Growth Hormone Deficiency and Idiopathic Short Stature on Sella MRI Lee, Taeyoun Song, Kyungchul Sohn, Beomseok Eom, Jihwan Ahn, Sung Soo Kim, Ho-Seong Lee, Seung-Koo Yonsei Med J Original Article PURPOSE: We hypothesized that a radiomics approach could be employed to classify children with growth hormone deficiency (GHD) and idiopathic short stature (ISS) on sella magnetic resonance imaging (MRI). Accordingly, we aimed to develop a radiomics prediction model for differentiating GHD from ISS and to evaluate the diagnostic performance thereof. MATERIALS AND METHODS: Short stature pediatric patients diagnosed with GHD or ISS from March 2011 to July 2020 at our institution were recruited. We enrolled 312 patients (GHD 210, ISS 102) with normal sella MRI and temporally split them into training and test sets (7:3). Pituitary glands were semi-automatically segmented, and 110 radiomic features were extracted from the coronal T2-weighted images. Feature selection and model development were conducted by applying mutual information (MI) and a light gradient boosting machine, respectively. After training, the model’s performance was validated in the test set. We calculated mean absolute Shapley values for each of the selected input features using the Shapley additive explanations (SHAP) algorithm. Volumetric comparison was performed for GHD and ISS groups. RESULTS: Ten radiomic features were selected by MI. The receiver operating characteristics curve of the developed model in the test set was 0.705, with an accuracy of 70.6%. When analyzing SHAP plots, root mean squared values had the highest impact in the model, followed by various texture features. In volumetric analysis, sagittal height showed a significant difference between GHD and ISS groups. CONCLUSION: Radiomic analysis of sella MRI may be able to differentiate between GHD and ISS in clinical practice for short-statured children. Yonsei University College of Medicine 2022-09 2022-08-18 /pmc/articles/PMC9424774/ /pubmed/36031786 http://dx.doi.org/10.3349/ymj.2022.63.9.856 Text en © Copyright: Yonsei University College of Medicine 2022 https://creativecommons.org/licenses/by-nc/4.0/This is an Open Access article distributed under the terms of the Creative Commons Attribution Non-Commercial License (https://creativecommons.org/licenses/by-nc/4.0 (https://creativecommons.org/licenses/by-nc/4.0/) ) which permits unrestricted non-commercial use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Original Article
Lee, Taeyoun
Song, Kyungchul
Sohn, Beomseok
Eom, Jihwan
Ahn, Sung Soo
Kim, Ho-Seong
Lee, Seung-Koo
A Radiomics-Based Model with the Potential to Differentiate Growth Hormone Deficiency and Idiopathic Short Stature on Sella MRI
title A Radiomics-Based Model with the Potential to Differentiate Growth Hormone Deficiency and Idiopathic Short Stature on Sella MRI
title_full A Radiomics-Based Model with the Potential to Differentiate Growth Hormone Deficiency and Idiopathic Short Stature on Sella MRI
title_fullStr A Radiomics-Based Model with the Potential to Differentiate Growth Hormone Deficiency and Idiopathic Short Stature on Sella MRI
title_full_unstemmed A Radiomics-Based Model with the Potential to Differentiate Growth Hormone Deficiency and Idiopathic Short Stature on Sella MRI
title_short A Radiomics-Based Model with the Potential to Differentiate Growth Hormone Deficiency and Idiopathic Short Stature on Sella MRI
title_sort radiomics-based model with the potential to differentiate growth hormone deficiency and idiopathic short stature on sella mri
topic Original Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9424774/
https://www.ncbi.nlm.nih.gov/pubmed/36031786
http://dx.doi.org/10.3349/ymj.2022.63.9.856
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