A CT-based radiomics nomogram for differentiation of lympho-associated benign and malignant lesions of the parotid gland.
Objectives: Preoperative differentiation between benign lymphoepithelial lesion (BLEL) and mucosa-associated lymphoid tissue lymphoma (MALToma) in the parotid gland is important for treatment decisions. The purpose of this study was to develop and validate a CT-based radiomics nomogram combining rad...
| Publicado en: | European Radiology Vol. 31; no. 5; pp. 2886 - 2896 |
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| Autores principales: | , , , , , , , , |
| Formato: | Journal Article |
| Publicado: |
Springer Nature
May2021
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| Acceso en línea: | Ver este registro en EBSCOhost |
| fields | @attributes: recordID: 1 pdfLink: plink: https://search.ebscohost.com/login.aspx?direct=true&db=ccm&AN=149789350&site=ehost-live header: @attributes: shortDbName: ccm uiTerm: 149789350 longDbName: CINAHL Complete uiTag: AN controlInfo: bkinfo: dissinfo: jinfo: jid: 09387994 NPH jtl: European Radiology issn: 09387994 maglogo: N pubinfo: dt: May2021 vid: 31 iid: 5 pid: 237 pub: Springer Nature place: New York, New York artinfo: ui: 149789350 149789350 NLM33123791 10.1007/s00330-020-07421-4 NLM33123791 149789350 ppf: 2886 ppct: 10 formats: fmt: – @attributes: type: T – @attributes: type: P tig: atl: A CT-based radiomics nomogram for differentiation of lympho-associated benign and malignant lesions of the parotid gland. aug: au: Zheng, Ying-mei Xu, Wen-jian Hao, Da-peng Liu, Xue-jun Gao, Chuan-ping Tang, Guo-zhang Li, Jie Wang, He-xiang Dong, Cheng affil: Health Management Center, The Affiliated Hospital of Qingdao University, No.16, Jiangsu Road, 266000, Qingdao, China sug: subj: Models, Statistical Parotid Gland Diagnosis, Differential Retrospective Design Tomography, X-Ray Computed Scales ab: Objectives: Preoperative differentiation between benign lymphoepithelial lesion (BLEL) and mucosa-associated lymphoid tissue lymphoma (MALToma) in the parotid gland is important for treatment decisions. The purpose of this study was to develop and validate a CT-based radiomics nomogram combining radiomics signature and clinical factors for the preoperative differentiation of BLEL from MALToma in the parotid gland.Methods: A total of 101 patients with BLEL (n = 46) or MALToma (n = 55) were divided into a training set (n = 70) and validation set (n = 31). Radiomics features were extracted from non-contrast CT images, a radiomics signature was constructed, and a radiomics score (Rad-score) was calculated. Demographics and CT findings were assessed to build a clinical factor model. A radiomics nomogram combining the Rad-score and independent clinical factors was constructed using multivariate logistic regression analysis. The performance levels of the nomogram, radiomics signature, and clinical model were evaluated and validated on the training and validation datasets, and then compared among the three models.Results: Seven features were used to build the radiomics signature. The radiomics nomogram incorporating the clinical factors and radiomics signature showed favorable predictive value for differentiating parotid BLEL from MALToma, with AUCs of 0.983 and 0.950 for the training set and validation set, respectively. Decision curve analysis showed that the nomogram outperformed the clinical factor model in terms of clinical usefulness.Conclusions: The CT-based radiomics nomogram incorporating the Rad-score and clinical factors showed favorable predictive efficacy for differentiating BLEL from MALToma in the parotid gland, and may help in the clinical decision-making process.Key Points: • Differential diagnosis between BLEL and MALToma in parotid gland is rather difficult by conventional imaging modalities. • A radiomics nomogram integrated with the radiomics signature, demographics, and CT findings facilitates differentiation of BLEL from MALToma with improved diagnostic efficacy. pubtype: Academic Journal doctype: Journal Article ougenre: Article language: English refInfo: holdings: @attributes: islocal: N |
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