Predicting recurrence of non-small cell lung cancer based on mean computed tomography value
Abstract Background The aim of this study was to assess the ability of using mean computed tomography (mCT) values to predict non-small cell lung cancer (NSCLC) tumor recurrence. Methods A retrospective study was conducted on 494 patients with stage IA NSCLC. Receiver operating characteristics analy...
Main Authors: | Masaya Tamura, Isao Matsumoto, Yusuke Tanaka, Daisuke Saito, Shuhei Yoshida, Munehisa Takata |
---|---|
Format: | Article |
Language: | English |
Published: |
BMC
2021-05-01
|
Series: | Journal of Cardiothoracic Surgery |
Subjects: | |
Online Access: | https://doi.org/10.1186/s13019-021-01476-0 |
Similar Items
-
Sensitivity and Features of Computed Tomography in Diagnosis of COVID-19 Pneumonia: A Meta-analysis
by: Awadia Gareeballah, et al.
Published: (2021-02-01) -
COVID-19: Chest Computed Tomography Imaging Patterns in Assessment of Disease Progression and Severity
by: Sachin Thammegowda, et al.
Published: (2021-01-01) -
Serial computed tomography findings of Coronavirus disease 2019 (COVID-19) pneumonia treated with favipiravir and steroid therapy: report of 11 cases
by: Naoki Irizato, et al.
Published: (2021-05-01) -
Identification of High-Risk of Recurrence in Clinical Stage I Non-Small Cell Lung Cancer
by: Yasuhiro Tsutani, et al.
Published: (2021-06-01) -
Pulmonary ct manifestations of COVID-19: changes within 2 weeks duration from presentation
by: Omar Muayad Sultan, et al.
Published: (2020-06-01)