Can image analysis on high-resolution computed tomography predict non-invasive growth in adenocarcinoma of the lung?

@article{Yoshida2015CanIA,
  title={Can image analysis on high-resolution computed tomography predict non-invasive growth in adenocarcinoma of the lung?},
  author={Yukihiro Yoshida and Miki Sakamoto and Eriko Maeda and Hiroshi Ohtsu and Satoshi Ota and Hisao Asamura and Jun -Ichiro Nakajima},
  journal={Annals of thoracic and cardiovascular surgery : official journal of the Association of Thoracic and Cardiovascular Surgeons of Asia},
  year={2015},
  volume={21 1},
  pages={
          8-13
        }
}
PURPOSE Preoperative radiological predictions of pathological invasiveness must be objective and reproducible in addition to being accurate when considering limited surgery for early lung cancer. METHODS Two cohorts were used for the analysis. Two independent observers traced lesion edges and measured areas and proportions of solid component on tumor images with the largest diameter by high resolution computed tomography images and "Image J" software. RESULTS The value of the intraclass… CONTINUE READING

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