Prediction of the therapeutic efficacy of epirubicin combined with ifosfamide in patients with lung metastases from soft tissue sarcoma based on contrast-enhanced CT radiomics features

Abstract Objective To investigate the value of contrast-enhanced computed tomography (CECT) radiomics features in predicting the efficacy of epirubicin combined with ifosfamide in patients with pulmonary metastases from soft tissue sarcoma. Methods A retrospective analysis of 51 patients with pulmon...

Full description

Bibliographic Details
Main Authors: Lei Miao, Shu-Tao Ma, Xu Jiang, Huan-Huan Zhang, Yan-Mei Wang, Meng Li
Format: Article
Language:English
Published: BMC 2022-07-01
Series:BMC Medical Imaging
Subjects:
Online Access:https://doi.org/10.1186/s12880-022-00859-6
_version_ 1818501621546483712
author Lei Miao
Shu-Tao Ma
Xu Jiang
Huan-Huan Zhang
Yan-Mei Wang
Meng Li
author_facet Lei Miao
Shu-Tao Ma
Xu Jiang
Huan-Huan Zhang
Yan-Mei Wang
Meng Li
author_sort Lei Miao
collection DOAJ
description Abstract Objective To investigate the value of contrast-enhanced computed tomography (CECT) radiomics features in predicting the efficacy of epirubicin combined with ifosfamide in patients with pulmonary metastases from soft tissue sarcoma. Methods A retrospective analysis of 51 patients with pulmonary metastases from soft tissue sarcoma who received the chemotherapy regimen of epirubicin combined with ifosfamide was performed, and efficacy was evaluated by Recist1.1. ROIs (1 or 2) were selected for each patient. Lung metastases were used as target lesions (86 target lesions total), and the patients were divided into a progression group (n = 29) and a non-progressive group (n = 57); the latter included a stable group (n = 34) and a partial response group (n = 23). Information on lung metastases was extracted from CECT images before chemotherapy, and all lesions were delineated by ITK-SNAP software manually or semiautomatically. The decision tree classifier had a better performance in all radiomics models. A receiver operating characteristic curve was plotted to evaluate the predictive performance of the radiomics model. Results In total, 851 CECT radiomics features were extracted for each target lesion and finally reduced to 2 radiomics features, which were then used to construct a radiomics model. Areas under the curves of the model for predicting lesion progression were 0.917 and 0.856 in training and testing groups, respectively. Conclusion The model established based on the radiomics features of CECT before treatment has certain predictive value for assessing the efficacy of chemotherapy for patients with soft tissue sarcoma lung metastases.
first_indexed 2024-12-10T20:58:48Z
format Article
id doaj.art-8cbb44d929fd4ef48b3542121d3a1d5a
institution Directory Open Access Journal
issn 1471-2342
language English
last_indexed 2024-12-10T20:58:48Z
publishDate 2022-07-01
publisher BMC
record_format Article
series BMC Medical Imaging
spelling doaj.art-8cbb44d929fd4ef48b3542121d3a1d5a2022-12-22T01:33:53ZengBMCBMC Medical Imaging1471-23422022-07-012211810.1186/s12880-022-00859-6Prediction of the therapeutic efficacy of epirubicin combined with ifosfamide in patients with lung metastases from soft tissue sarcoma based on contrast-enhanced CT radiomics featuresLei Miao0Shu-Tao Ma1Xu Jiang2Huan-Huan Zhang3Yan-Mei Wang4Meng Li5Department of Diagnostic Radiology, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical CollegeDepartment of Medical Oncology, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical CollegeDepartment of Diagnostic Radiology, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical CollegeDepartment of Diagnostic Radiology, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical CollegeGE Healthcare ChinaDepartment of Diagnostic Radiology, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical CollegeAbstract Objective To investigate the value of contrast-enhanced computed tomography (CECT) radiomics features in predicting the efficacy of epirubicin combined with ifosfamide in patients with pulmonary metastases from soft tissue sarcoma. Methods A retrospective analysis of 51 patients with pulmonary metastases from soft tissue sarcoma who received the chemotherapy regimen of epirubicin combined with ifosfamide was performed, and efficacy was evaluated by Recist1.1. ROIs (1 or 2) were selected for each patient. Lung metastases were used as target lesions (86 target lesions total), and the patients were divided into a progression group (n = 29) and a non-progressive group (n = 57); the latter included a stable group (n = 34) and a partial response group (n = 23). Information on lung metastases was extracted from CECT images before chemotherapy, and all lesions were delineated by ITK-SNAP software manually or semiautomatically. The decision tree classifier had a better performance in all radiomics models. A receiver operating characteristic curve was plotted to evaluate the predictive performance of the radiomics model. Results In total, 851 CECT radiomics features were extracted for each target lesion and finally reduced to 2 radiomics features, which were then used to construct a radiomics model. Areas under the curves of the model for predicting lesion progression were 0.917 and 0.856 in training and testing groups, respectively. Conclusion The model established based on the radiomics features of CECT before treatment has certain predictive value for assessing the efficacy of chemotherapy for patients with soft tissue sarcoma lung metastases.https://doi.org/10.1186/s12880-022-00859-6RadiomicsSoft tissue sarcomaLung metastasesEfficacy prediction
spellingShingle Lei Miao
Shu-Tao Ma
Xu Jiang
Huan-Huan Zhang
Yan-Mei Wang
Meng Li
Prediction of the therapeutic efficacy of epirubicin combined with ifosfamide in patients with lung metastases from soft tissue sarcoma based on contrast-enhanced CT radiomics features
BMC Medical Imaging
Radiomics
Soft tissue sarcoma
Lung metastases
Efficacy prediction
title Prediction of the therapeutic efficacy of epirubicin combined with ifosfamide in patients with lung metastases from soft tissue sarcoma based on contrast-enhanced CT radiomics features
title_full Prediction of the therapeutic efficacy of epirubicin combined with ifosfamide in patients with lung metastases from soft tissue sarcoma based on contrast-enhanced CT radiomics features
title_fullStr Prediction of the therapeutic efficacy of epirubicin combined with ifosfamide in patients with lung metastases from soft tissue sarcoma based on contrast-enhanced CT radiomics features
title_full_unstemmed Prediction of the therapeutic efficacy of epirubicin combined with ifosfamide in patients with lung metastases from soft tissue sarcoma based on contrast-enhanced CT radiomics features
title_short Prediction of the therapeutic efficacy of epirubicin combined with ifosfamide in patients with lung metastases from soft tissue sarcoma based on contrast-enhanced CT radiomics features
title_sort prediction of the therapeutic efficacy of epirubicin combined with ifosfamide in patients with lung metastases from soft tissue sarcoma based on contrast enhanced ct radiomics features
topic Radiomics
Soft tissue sarcoma
Lung metastases
Efficacy prediction
url https://doi.org/10.1186/s12880-022-00859-6
work_keys_str_mv AT leimiao predictionofthetherapeuticefficacyofepirubicincombinedwithifosfamideinpatientswithlungmetastasesfromsofttissuesarcomabasedoncontrastenhancedctradiomicsfeatures
AT shutaoma predictionofthetherapeuticefficacyofepirubicincombinedwithifosfamideinpatientswithlungmetastasesfromsofttissuesarcomabasedoncontrastenhancedctradiomicsfeatures
AT xujiang predictionofthetherapeuticefficacyofepirubicincombinedwithifosfamideinpatientswithlungmetastasesfromsofttissuesarcomabasedoncontrastenhancedctradiomicsfeatures
AT huanhuanzhang predictionofthetherapeuticefficacyofepirubicincombinedwithifosfamideinpatientswithlungmetastasesfromsofttissuesarcomabasedoncontrastenhancedctradiomicsfeatures
AT yanmeiwang predictionofthetherapeuticefficacyofepirubicincombinedwithifosfamideinpatientswithlungmetastasesfromsofttissuesarcomabasedoncontrastenhancedctradiomicsfeatures
AT mengli predictionofthetherapeuticefficacyofepirubicincombinedwithifosfamideinpatientswithlungmetastasesfromsofttissuesarcomabasedoncontrastenhancedctradiomicsfeatures