MRI-based intratumoral and peritumoral radiomics for assessing deep myometrial invasion in patients with early-stage endometrioid adenocarcinoma
PurposeTo evaluate the effectiveness of magnetic resonance imaging (MRI)-based intratumoral and peritumoral radiomics models for predicting deep myometrial invasion (DMI) of early-stage endometrioid adenocarcinoma (EAC).MethodsThe data of 459 EAC patients from three centers were retrospectively coll...
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Frontiers Media S.A.
2025-01-01
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| Series: | Frontiers in Oncology |
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| Online Access: | https://www.frontiersin.org/articles/10.3389/fonc.2024.1474427/full |
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| author | Jing Yang Yang Liu Xiaolong Liu Yaoxin Wang Xianhong Wang Conghui Ai Qiu Bi Ying Zhao |
| author_facet | Jing Yang Yang Liu Xiaolong Liu Yaoxin Wang Xianhong Wang Conghui Ai Qiu Bi Ying Zhao |
| author_sort | Jing Yang |
| collection | DOAJ |
| description | PurposeTo evaluate the effectiveness of magnetic resonance imaging (MRI)-based intratumoral and peritumoral radiomics models for predicting deep myometrial invasion (DMI) of early-stage endometrioid adenocarcinoma (EAC).MethodsThe data of 459 EAC patients from three centers were retrospectively collected. Radiomics features were extracted separately from the intratumoral and peritumoral regions expanded by 0 mm, 5 mm, and 10 mm on unimodal and multimodal MRI. Then, various radiomics models were developed and validated, and the optimal model was confirmed. Integrated models were constructed by ensemble and stacking algorithms based on the above radiomics models. The models’ performance was evaluated using the area under the curve (AUC).ResultsThe multimodal MRI-based radiomics model, which included both intratumoral and peritumoral regions expanded by 5 mm, was the optimal radiomics model, with an AUC of 0.74 in the validation group. When the same integrated algorithm was utilized, the integrated models with 5-mm expansion presented higher AUCs than those with 0-mm and 10-mm expansion in the validation group. The performance of the stacking model and ensemble model with 5-mm expansion was similar, and their AUCs were 0.74 and 0.75, respectively.ConclusionThe multimodal radiomics model from the intratumoral and peritumoral regions expanded by 5 mm has the potential to improve the performance for detecting DMI of early-stage EAC. The integrated models are of little value in increasing the prediction. |
| format | Article |
| id | doaj-art-dc23a57a08cc4e85acd77252e508b8f5 |
| institution | Kabale University |
| issn | 2234-943X |
| language | English |
| publishDate | 2025-01-01 |
| publisher | Frontiers Media S.A. |
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| series | Frontiers in Oncology |
| spelling | doaj-art-dc23a57a08cc4e85acd77252e508b8f52025-01-15T06:10:40ZengFrontiers Media S.A.Frontiers in Oncology2234-943X2025-01-011410.3389/fonc.2024.14744271474427MRI-based intratumoral and peritumoral radiomics for assessing deep myometrial invasion in patients with early-stage endometrioid adenocarcinomaJing Yang0Yang Liu1Xiaolong Liu2Yaoxin Wang3Xianhong Wang4Conghui Ai5Qiu Bi6Ying Zhao7Department of MRI, The First People’s Hospital of Yunnan Province, The Affiliated Hospital of Kunming University of Science and Technology, Kunming, Yunnan, ChinaDepartment of Radiology, The First Affiliated Hospital of Chongqing Medical University, Chongqing, ChinaDepartment of Medical Imaging, The People’s Hospital of Puer, The Affiliated Hospital of Kunming University of Science and Technology, Puer, Yunnan, ChinaDepartment of Radiology, Shenzhen Traditional Chinese Medicine Hospital, The Fourth Clinical Medical College of Guangzhou University of Chinese Medicine, Shenzhen, ChinaThe Affiliated Hospital of Kunming University of Science and Technology, School of Clinical Medicine, Kunming, Yunnan, ChinaDepartment of Radiology, Yunnan Cancer Hospital, The Third Affiliated Hospital of Kunming Medical University, Peking University Cancer Hospital Yunnan, Kunming, Yunnan, ChinaDepartment of MRI, The First People’s Hospital of Yunnan Province, The Affiliated Hospital of Kunming University of Science and Technology, Kunming, Yunnan, ChinaDepartment of MRI, The First People’s Hospital of Yunnan Province, The Affiliated Hospital of Kunming University of Science and Technology, Kunming, Yunnan, ChinaPurposeTo evaluate the effectiveness of magnetic resonance imaging (MRI)-based intratumoral and peritumoral radiomics models for predicting deep myometrial invasion (DMI) of early-stage endometrioid adenocarcinoma (EAC).MethodsThe data of 459 EAC patients from three centers were retrospectively collected. Radiomics features were extracted separately from the intratumoral and peritumoral regions expanded by 0 mm, 5 mm, and 10 mm on unimodal and multimodal MRI. Then, various radiomics models were developed and validated, and the optimal model was confirmed. Integrated models were constructed by ensemble and stacking algorithms based on the above radiomics models. The models’ performance was evaluated using the area under the curve (AUC).ResultsThe multimodal MRI-based radiomics model, which included both intratumoral and peritumoral regions expanded by 5 mm, was the optimal radiomics model, with an AUC of 0.74 in the validation group. When the same integrated algorithm was utilized, the integrated models with 5-mm expansion presented higher AUCs than those with 0-mm and 10-mm expansion in the validation group. The performance of the stacking model and ensemble model with 5-mm expansion was similar, and their AUCs were 0.74 and 0.75, respectively.ConclusionThe multimodal radiomics model from the intratumoral and peritumoral regions expanded by 5 mm has the potential to improve the performance for detecting DMI of early-stage EAC. The integrated models are of little value in increasing the prediction.https://www.frontiersin.org/articles/10.3389/fonc.2024.1474427/fullendometrial carcinomadeep myometrial invasionMRIradiomicsperitumoral |
| spellingShingle | Jing Yang Yang Liu Xiaolong Liu Yaoxin Wang Xianhong Wang Conghui Ai Qiu Bi Ying Zhao MRI-based intratumoral and peritumoral radiomics for assessing deep myometrial invasion in patients with early-stage endometrioid adenocarcinoma Frontiers in Oncology endometrial carcinoma deep myometrial invasion MRI radiomics peritumoral |
| title | MRI-based intratumoral and peritumoral radiomics for assessing deep myometrial invasion in patients with early-stage endometrioid adenocarcinoma |
| title_full | MRI-based intratumoral and peritumoral radiomics for assessing deep myometrial invasion in patients with early-stage endometrioid adenocarcinoma |
| title_fullStr | MRI-based intratumoral and peritumoral radiomics for assessing deep myometrial invasion in patients with early-stage endometrioid adenocarcinoma |
| title_full_unstemmed | MRI-based intratumoral and peritumoral radiomics for assessing deep myometrial invasion in patients with early-stage endometrioid adenocarcinoma |
| title_short | MRI-based intratumoral and peritumoral radiomics for assessing deep myometrial invasion in patients with early-stage endometrioid adenocarcinoma |
| title_sort | mri based intratumoral and peritumoral radiomics for assessing deep myometrial invasion in patients with early stage endometrioid adenocarcinoma |
| topic | endometrial carcinoma deep myometrial invasion MRI radiomics peritumoral |
| url | https://www.frontiersin.org/articles/10.3389/fonc.2024.1474427/full |
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