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...

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Publicado en:European Radiology Vol. 28; no. 12; pp. 5121 - 5129
Autores principales: She, Yunlang, Zhang, Lei, Zhu, Huiyuan, Dai, Chenyang, Xie, Dong, Xie, Huikang, Zhang, Wei, Zhao, Lilan, Zou, Liling, Fei, Ke, Sun, Xiwen, Chen, Chang
Formato: Journal Article
Publicado: Springer Nature Dec2018
Acceso en línea:Ver este registro en EBSCOhost
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      dt: Dec2018
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      pub: Springer Nature
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        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
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