The predictive value of CT-based radiomics in differentiating indolent from invasive lung adenocarcinoma in patients with pulmonary nodules.
Objectives: Adenocarcinoma in situ (AIS) and minimally invasive adenocarcinoma (MIA) are assumed to be indolent lung adenocarcinoma with excellent prognosis. We aim to identify these lesions from invasive adenocarcinoma (IA) by a radiomics approach.Methods: This retrospective study was approved by i...
| Publicado en: | European Radiology Vol. 28; no. 12; pp. 5121 - 5129 |
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| Autores principales: | , , , , , , , , , , , |
| Formato: | Journal Article |
| Publicado: |
Springer Nature
Dec2018
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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=132881012&site=ehost-live header: @attributes: shortDbName: ccm uiTerm: 132881012 longDbName: CINAHL Complete uiTag: AN controlInfo: bkinfo: dissinfo: jinfo: jid: 09387994 NPH jtl: European Radiology issn: 09387994 maglogo: N pubinfo: dt: Dec2018 vid: 28 iid: 12 pid: 237 pub: Springer Nature place: New York, New York artinfo: ui: 132881012 132881012 NLM29869172 10.1007/s00330-018-5509-9 NLM29869172 132881012 ppf: 5121 ppct: 8 formats: fmt: – @attributes: type: T – @attributes: type: P tig: atl: The predictive value of CT-based radiomics in differentiating indolent from invasive lung adenocarcinoma in patients with pulmonary nodules. aug: au: She, Yunlang Zhang, Lei Zhu, Huiyuan Dai, Chenyang Xie, Dong Xie, Huikang Zhang, Wei Zhao, Lilan Zou, Liling Fei, Ke Sun, Xiwen Chen, Chang affil: Department of Thoracic Surgery, Shanghai Pulmonary Hospital, Tongji University School of Medicine, Zhengmin Road 507, 200433, Shanghai, People’s Republic of China sug: subj: Adenocarcinoma in Situ Lung Neoplasms Young Adult Logistic Regression Adenocarcinoma in Situ Pathology Diagnosis, Differential Female Middle Age Aged, 80 and Over Neoplasm Invasiveness Aged Male Adult Tomography, X-Ray Computed Prognosis Predictive Value of Tests Lung Neoplasms Pathology Retrospective Design Scales Middle Aged: 45-64 years Aged, 80 & over Aged: 65+ years Adult: 19-44 years Female Male ab: Objectives: Adenocarcinoma in situ (AIS) and minimally invasive adenocarcinoma (MIA) are assumed to be indolent lung adenocarcinoma with excellent prognosis. We aim to identify these lesions from invasive adenocarcinoma (IA) by a radiomics approach.Methods: This retrospective study was approved by institutional review board with a waiver of informed consent. Pathologically confirmed lung adenocarcinomas manifested as lung nodules less than 3 cm were retrospectively identified. In-house software was used to quantitatively extract 60 CT-based radiomics features quantifying nodule's volume, intensity and texture property through manual segmentation. In order to differentiate AIS/MIA from IA, least absolute shrinkage and selection operator (LASSO) logistic regression was used for feature selection and developing radiomics signatures. The predictive performance of the signature was evaluated via receiver operating curve (ROC) and calibration curve, and validated using an independent cohort.Results: 402 eligible patients were included and divided into the primary cohort (n = 207) and the validation cohort (n = 195). Using the primary cohort, we developed a radiomics signature based on five radiomics features. The signature showed good discrimination between MIA/AIS and IA in both the primary and validation cohort, with AUCs of 0.95 (95% CI, 0.91-0.98) and 0.89 (95% CI, 0.84-0.93), respectively. Multivariate logistic analysis revealed that the signature (OR, 13.3; 95% CI, 6.2-28.5; p < 0.001) and gender (OR, 3.5; 95% CI, 1.2-10.9; p = 0.03) were independent predictors of indolent lung adenocarcinoma.Conclusion: The signature based on radiomics features helps to differentiate indolent from invasive lung adenocarcinoma, which might be useful in guiding the intervention choice for patients with pulmonary nodules.Key Points: • Based on radiomics features, a signature is established to differentiate adenocarcinoma in situ and minimally invasive adenocarcinoma from invasive lung adenocarcinoma. pubtype: Academic Journal doctype: Journal Article ougenre: Article language: English refInfo: holdings: @attributes: islocal: N |
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