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Establishment and verification of a radiomics nomogram to predict distant metastasis in patients with descending type of nasopharyngeal carcinoma

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Title: Establishment and verification of a radiomics nomogram to predict distant metastasis in patients with descending type of nasopharyngeal carcinoma
Authors: Qin Yang, Yu Chen, Rui Huang, Wenya Yin, Shuang Zhang, Qianlong Tang, Xinyue Chen, Jinyi Lang, Gang Yin, Peng Zhang
Source: MedComm – Oncology, Vol 1, Iss 2, Pp n/a-n/a (2022)
Publisher Information: Wiley, 2022.
Publication Year: 2022
Collection: LCC:Neoplasms. Tumors. Oncology. Including cancer and carcinogens
Subject Terms: descending type, nasopharyngeal carcinoma, nomogram, prognosis, radiomics, Neoplasms. Tumors. Oncology. Including cancer and carcinogens, RC254-282
More Details: Abstract Distant metastasis is one of the main reasons for the failure of nasopharyngeal carcinoma (NPC) treatment, and descending type of nasopharyngeal carcinoma (type D NPC) is more prone to distant metastasis. Few people have explored the relationship between the radiomics characteristics of lymph nodes and the distant metastasis of type D NPC. Therefore, we establish a nomogram based on radiomics risk factors to predict distant metastasis in patients with type D NPC. This study retrospectively included 144 type D NPC (T1‐2N2‐3MO, AJCC 8th). 2600 features were extracted each from CT and MRI examinations conducted before treatment, respectively. Feature selection was performed by least absolute shrinkage and selection operator regression. A binary logistic regression model was used to construct a nomogram, and the C‐index and calibration curve were used to evaluate the discrimination and accuracy of the nomogram. Combining CT and MRI radiomics features with a multimodal radiomics model, the average area under curve of the synthetic minority oversampling technique (SMOTE) data set was 0.873 (95% confidence interval [CI]: 0.797–0.949). The C‐index in the training and validation sets of the original data set were 0.91 (95% CI: 0.848–0.972) and 0.815 (95% CI: 0.664–0.967); the sensitivity were 0.75 and 0.545, the specificity were 0.932 and 0.903, and the accuracy were 0.882 and 0.81. Therefore, we concluded that the multimodal radiomics model in predicting distant metastasis in descending type of NPC patients was good. The proposed model can provide a reference for precise treatment and prognosis prediction.
Document Type: article
File Description: electronic resource
Language: English
ISSN: 2769-6448
Relation: https://doaj.org/toc/2769-6448
DOI: 10.1002/mog2.20
Access URL: https://doaj.org/article/dc73999ccf8c4140af2cb7929b0d6271
Accession Number: edsdoj.73999ccf8c4140af2cb7929b0d6271
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  Data: Abstract Distant metastasis is one of the main reasons for the failure of nasopharyngeal carcinoma (NPC) treatment, and descending type of nasopharyngeal carcinoma (type D NPC) is more prone to distant metastasis. Few people have explored the relationship between the radiomics characteristics of lymph nodes and the distant metastasis of type D NPC. Therefore, we establish a nomogram based on radiomics risk factors to predict distant metastasis in patients with type D NPC. This study retrospectively included 144 type D NPC (T1‐2N2‐3MO, AJCC 8th). 2600 features were extracted each from CT and MRI examinations conducted before treatment, respectively. Feature selection was performed by least absolute shrinkage and selection operator regression. A binary logistic regression model was used to construct a nomogram, and the C‐index and calibration curve were used to evaluate the discrimination and accuracy of the nomogram. Combining CT and MRI radiomics features with a multimodal radiomics model, the average area under curve of the synthetic minority oversampling technique (SMOTE) data set was 0.873 (95% confidence interval [CI]: 0.797–0.949). The C‐index in the training and validation sets of the original data set were 0.91 (95% CI: 0.848–0.972) and 0.815 (95% CI: 0.664–0.967); the sensitivity were 0.75 and 0.545, the specificity were 0.932 and 0.903, and the accuracy were 0.882 and 0.81. Therefore, we concluded that the multimodal radiomics model in predicting distant metastasis in descending type of NPC patients was good. The proposed model can provide a reference for precise treatment and prognosis prediction.
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      – SubjectFull: descending type
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      – SubjectFull: nasopharyngeal carcinoma
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