An MRI-based radiomics nomogram for detecting cervical esophagus invasion in hypopharyngeal squamous cell carcinoma
Abstract Background Accurate detection of cervical esophagus invasion (CEI) in HPSCC is challenging but crucial. We aimed to investigate the value of magnetic resonance imaging (MRI)-based radiomics for detecting CEI in patients with HPSCC. Methods This retrospective study included 151 HPSCC patient...
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| Format: | Article |
| Language: | English |
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BMC
2023-12-01
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| Series: | Cancer Imaging |
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| Online Access: | https://doi.org/10.1186/s40644-023-00642-y |
| _version_ | 1797388131311288320 |
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| author | Meng Qi Yan Sha Duo Zhang Jiliang Ren |
| author_facet | Meng Qi Yan Sha Duo Zhang Jiliang Ren |
| author_sort | Meng Qi |
| collection | DOAJ |
| description | Abstract Background Accurate detection of cervical esophagus invasion (CEI) in HPSCC is challenging but crucial. We aimed to investigate the value of magnetic resonance imaging (MRI)-based radiomics for detecting CEI in patients with HPSCC. Methods This retrospective study included 151 HPSCC patients with or without CEI, which were randomly assigned into a training (n = 101) or validation (n = 50) cohort. A total of 750 radiomics features were extracted from T2-weighted imaging (T2WI) and contrast-enhanced T1-weighted imaging (ceT1WI), respectively. A radiomics signature was constructed using the least absolute shrinkage and selection operator method. Multivariable logistic regression analyses were adopted to establish a clinical model and a radiomics nomogram. Two experienced radiologists evaluated the CEI status based on morphological findings. Areas under the curve (AUCs) of the models and readers were compared using the DeLong method. The performance of the nomogram was also assessed by its calibration and clinical usefulness. Results The radiomics signature, consisting of five T2WI and six ceT1WI radiomics features, was significantly associated with CEI in both cohorts (all p < 0.001). The radiomics nomogram combining the radiomics signature and clinical T stage achieved significantly higher predictive value than the clinical model and pooled readers in the training (AUC 0.923 vs. 0.723 and 0.621, all p < 0.001) and validation (AUC 0.888 vs. 0.754 and 0.647, all p < 0.05) cohorts. The radiomics nomogram showed favorable calibration in both cohorts and provided better net benefit than the clinical model. Conclusions The MRI-based radiomics nomogram is a promising method for detecting CEI in HPSCC. |
| first_indexed | 2024-03-08T22:35:20Z |
| format | Article |
| id | doaj.art-66a057697f42432a8d363fee4bdcefc9 |
| institution | Directory Open Access Journal |
| issn | 1470-7330 |
| language | English |
| last_indexed | 2024-03-08T22:35:20Z |
| publishDate | 2023-12-01 |
| publisher | BMC |
| record_format | Article |
| series | Cancer Imaging |
| spelling | doaj.art-66a057697f42432a8d363fee4bdcefc92023-12-17T12:28:50ZengBMCCancer Imaging1470-73302023-12-0123111010.1186/s40644-023-00642-yAn MRI-based radiomics nomogram for detecting cervical esophagus invasion in hypopharyngeal squamous cell carcinomaMeng Qi0Yan Sha1Duo Zhang2Jiliang Ren3Department of Radiology, Eye & ENT Hospital, Fudan UniversityDepartment of Radiology, Eye & ENT Hospital, Fudan UniversityDepartment of Otolaryngology–HNS, Eye & ENT Hospital, Fudan UniversityDepartment of Radiology, Shanghai Ninth People’s Hospital, Shanghai Jiao Tong University School of MedicineAbstract Background Accurate detection of cervical esophagus invasion (CEI) in HPSCC is challenging but crucial. We aimed to investigate the value of magnetic resonance imaging (MRI)-based radiomics for detecting CEI in patients with HPSCC. Methods This retrospective study included 151 HPSCC patients with or without CEI, which were randomly assigned into a training (n = 101) or validation (n = 50) cohort. A total of 750 radiomics features were extracted from T2-weighted imaging (T2WI) and contrast-enhanced T1-weighted imaging (ceT1WI), respectively. A radiomics signature was constructed using the least absolute shrinkage and selection operator method. Multivariable logistic regression analyses were adopted to establish a clinical model and a radiomics nomogram. Two experienced radiologists evaluated the CEI status based on morphological findings. Areas under the curve (AUCs) of the models and readers were compared using the DeLong method. The performance of the nomogram was also assessed by its calibration and clinical usefulness. Results The radiomics signature, consisting of five T2WI and six ceT1WI radiomics features, was significantly associated with CEI in both cohorts (all p < 0.001). The radiomics nomogram combining the radiomics signature and clinical T stage achieved significantly higher predictive value than the clinical model and pooled readers in the training (AUC 0.923 vs. 0.723 and 0.621, all p < 0.001) and validation (AUC 0.888 vs. 0.754 and 0.647, all p < 0.05) cohorts. The radiomics nomogram showed favorable calibration in both cohorts and provided better net benefit than the clinical model. Conclusions The MRI-based radiomics nomogram is a promising method for detecting CEI in HPSCC.https://doi.org/10.1186/s40644-023-00642-yMagnetic resonance imagingRadiomicsHypopharyngeal squamous cell carcinomaCervical esophagus invasion |
| spellingShingle | Meng Qi Yan Sha Duo Zhang Jiliang Ren An MRI-based radiomics nomogram for detecting cervical esophagus invasion in hypopharyngeal squamous cell carcinoma Cancer Imaging Magnetic resonance imaging Radiomics Hypopharyngeal squamous cell carcinoma Cervical esophagus invasion |
| title | An MRI-based radiomics nomogram for detecting cervical esophagus invasion in hypopharyngeal squamous cell carcinoma |
| title_full | An MRI-based radiomics nomogram for detecting cervical esophagus invasion in hypopharyngeal squamous cell carcinoma |
| title_fullStr | An MRI-based radiomics nomogram for detecting cervical esophagus invasion in hypopharyngeal squamous cell carcinoma |
| title_full_unstemmed | An MRI-based radiomics nomogram for detecting cervical esophagus invasion in hypopharyngeal squamous cell carcinoma |
| title_short | An MRI-based radiomics nomogram for detecting cervical esophagus invasion in hypopharyngeal squamous cell carcinoma |
| title_sort | mri based radiomics nomogram for detecting cervical esophagus invasion in hypopharyngeal squamous cell carcinoma |
| topic | Magnetic resonance imaging Radiomics Hypopharyngeal squamous cell carcinoma Cervical esophagus invasion |
| url | https://doi.org/10.1186/s40644-023-00642-y |
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