Skip to main content
Top
Published in: BMC Medical Imaging 1/2023

Open Access 01-12-2023 | Computed Tomography | Research

Radiomics analysis based on CT for the prediction of pulmonary metastases in ewing sarcoma

Authors: Ying Liu, Ping Yin, Jingjing Cui, Chao Sun, Lei Chen, Nan Hong, Zhentao Li

Published in: BMC Medical Imaging | Issue 1/2023

Login to get access

Abstract

Objectives

This study aimed to develop and validate radiomics models on the basis of computed tomography (CT) and clinical features for the prediction of pulmonary metastases (MT) in patients with Ewing sarcoma (ES) within 2 years after diagnosis.

Materials and methods

A total of 143 patients with a histopathological diagnosis of ES were enrolled in this study (114 in the training cohort and 29 in the validation cohort). The regions of interest (ROIs) were handcrafted along the boundary of each tumor on the CT and CT-enhanced (CTE) images, and radiomic features were extracted. Six different models were built, including three radiomics models (CT, CTE and ComB models) and three clinical-radiomics models (CT_clinical, CTE_clinical and ComB_clinical models). The area under the receiver operating characteristic curve (AUC), and accuracy were calculated to evaluate the different models, and DeLong test was used to compare the AUCs of the models.

Results

Among the clinical risk factors, the therapeutic method had significant differences between the MT and non-MT groups (P<0.01). The six models performed well in predicting pulmonary metastases in patients with ES, and the ComB model (AUC: 0.866/0.852 in training/validation cohort) achieved the highest AUC among the six models. However, no statistically significant difference was observed between the AUC of the models.

Conclusions

In patients with ES, clinical-radiomics model created using radiomics signature and clinical features provided favorable ability and accuracy for pulmonary metastases prediction.
Literature
3.
go back to reference Dirksen U, Brennan B, Deley M-CL, Cozic N, Berg Hvd, Bhadri V, Brichard B, Claude L, Craft A, Amler S, Gaspar N, Gelderblom H, Goldsby R, Gorlick R, Grier HE, Guinbretiere J-M, Hauser P, Hjorth L, Janeway K, Juergens H, Judson I, Krailo M, Kruseova J, Kuehne T, Ladenstein R, Lervat C, Lessnick SL, Lewis I, Linassier C, Marec-Berard P, Marina N, Morland B, Pacquement H, Paulussen M, Randall RL, Ranft A, Teuff GL, Wheatley K, Whelan J, Womer R, Oberlin O, Hawkins DS. High-dose chemotherapy compared with Standard Chemotherapy and Lung Radiation in Ewing Sarcoma with Pulmonary Metastases: results of the european ewing Tumour Working Initiative of National Groups, 99 trial and EWING 2008. J Clin oncology: official J Am Soc Clin Oncol. 2019;37(34):3192–202. https://doi.org/10.1200/jco.19.00915. 99 E-EWING, Investigators.CrossRef Dirksen U, Brennan B, Deley M-CL, Cozic N, Berg Hvd, Bhadri V, Brichard B, Claude L, Craft A, Amler S, Gaspar N, Gelderblom H, Goldsby R, Gorlick R, Grier HE, Guinbretiere J-M, Hauser P, Hjorth L, Janeway K, Juergens H, Judson I, Krailo M, Kruseova J, Kuehne T, Ladenstein R, Lervat C, Lessnick SL, Lewis I, Linassier C, Marec-Berard P, Marina N, Morland B, Pacquement H, Paulussen M, Randall RL, Ranft A, Teuff GL, Wheatley K, Whelan J, Womer R, Oberlin O, Hawkins DS. High-dose chemotherapy compared with Standard Chemotherapy and Lung Radiation in Ewing Sarcoma with Pulmonary Metastases: results of the european ewing Tumour Working Initiative of National Groups, 99 trial and EWING 2008. J Clin oncology: official J Am Soc Clin Oncol. 2019;37(34):3192–202. https://​doi.​org/​10.​1200/​jco.​19.​00915. 99 E-EWING, Investigators.CrossRef
4.
go back to reference Meybaum C, Graff M, Fallenberg EM, Leschber G, Wormanns D. Contribution of CAD to the sensitivity for detecting lung metastases on thin-section CT - A prospective study with Surgical and histopathological correlation. RoFo: Fortschr auf dem Gebiete der Rontgenstrahlen und der Nuklearmedizin. 2020;192(1):65–73. https://doi.org/10.1055/a-0977-3453.CrossRef Meybaum C, Graff M, Fallenberg EM, Leschber G, Wormanns D. Contribution of CAD to the sensitivity for detecting lung metastases on thin-section CT - A prospective study with Surgical and histopathological correlation. RoFo: Fortschr auf dem Gebiete der Rontgenstrahlen und der Nuklearmedizin. 2020;192(1):65–73. https://​doi.​org/​10.​1055/​a-0977-3453.CrossRef
7.
go back to reference Choi SJ, Park KJ, Heo C, Park BW, Kim M, Kim JK. Radiomics-based model for predicting pathological complete response to neoadjuvant chemotherapy in muscle-invasive bladder cancer. Clin Radiol. 2021;76(8):627. .e613-627.e621.CrossRef Choi SJ, Park KJ, Heo C, Park BW, Kim M, Kim JK. Radiomics-based model for predicting pathological complete response to neoadjuvant chemotherapy in muscle-invasive bladder cancer. Clin Radiol. 2021;76(8):627. .e613-627.e621.CrossRef
22.
Metadata
Title
Radiomics analysis based on CT for the prediction of pulmonary metastases in ewing sarcoma
Authors
Ying Liu
Ping Yin
Jingjing Cui
Chao Sun
Lei Chen
Nan Hong
Zhentao Li
Publication date
01-12-2023
Publisher
BioMed Central
Published in
BMC Medical Imaging / Issue 1/2023
Electronic ISSN: 1471-2342
DOI
https://doi.org/10.1186/s12880-023-01077-4

Other articles of this Issue 1/2023

BMC Medical Imaging 1/2023 Go to the issue