Clinical T categorization in stage IA lung adenocarcinomas: prognostic implications of CT display window settings for solid portion measurement.

Objectives: Our study aimed at evaluating the prognostic implications of lung and mediastinal CT display window settings for solid portion measurements on the eighth-edition lung cancer staging system's clinical T (cT) categorization.Methods: We retrospectively analyzed 691 surgically treated patien...

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Publicado en:European Radiology Vol. 29; no. 11; pp. 6069 - 6080
Autores principales: Kim, Hyungjin, Goo, Jin Mo, Kim, Young Tae, Park, Chang Min
Formato: pictorial research tables/charts Journal Article
Publicado: Springer Nature Nov2019
Acceso en línea:Ver este registro en EBSCOhost
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      pub: Springer Nature
      place: New York, New York
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        atl: Clinical T categorization in stage IA lung adenocarcinomas: prognostic implications of CT display window settings for solid portion measurement.
      aug:
        au:
          Kim, Hyungjin
          Goo, Jin Mo
          Kim, Young Tae
          Park, Chang Min
        affil: Department of Radiology, Seoul National University College of Medicine, 101, Daehak-ro, Jongno-gu, 03080, Seoul, South Korea
      sug:
        subj:
          Tomography, X-Ray Computed Methods
          Lung Neoplasms Diagnosis
          Lung
          Neoplasm Staging Methods
          Retrospective Design
          Pneumonectomy
          Prognosis
          Lung Neoplasms Surgery
          Middle Age
          Male
          Aged
          Female
          Funding Source
          Human
          Middle Aged: 45-64 years
          Aged: 65+ years
          Male
          Female
      ab: Objectives: Our study aimed at evaluating the prognostic implications of lung and mediastinal CT display window settings for solid portion measurements on the eighth-edition lung cancer staging system's clinical T (cT) categorization.Methods: We retrospectively analyzed 691 surgically treated patients from 2009 to 2015 for clinical stage IA lung adenocarcinomas. Solid portions were measured at the lung and mediastinal window settings, respectively, and cT categories were determined for each measurement (cTlung and cTmediastinum). The prognostic power of the two cT factors for disease-free survival (DFS) was assessed using Cox regression, and concordance indices (C-indices) were compared using the Student t test. Subsequently, the patients were split into training and validation cohorts to calculate optimal cutoffs for the cT categorization of mediastinal window-based solid portions (cToptimal) and validate its prognostic performance.Results: Both cTlung ((cT1b: adjusted HR, 3.547; p = 0.017), (cT1c: adjusted HR, 9.439; p < 0.001)) and cTmediastinum ((cT1b: adjusted HR, 4.635; p < 0.001), (cT1c: adjusted HR, 11.235; p < 0.001)) were significantly associated with DFS for each multivariable Cox model. The C-indices were 0.772 (95% CI, 0.702-0.842) for cTlung and 0.787 (95% CI, 0.726-0.848) for cTmediastinum (p = 0.789). The optimal cutoffs for cT categorization of the mediastinal window-based solid portions were 0.9 cm and 1.8 cm. However, there were no significant differences in the C-indices among cTlung, cTmediastinum, and cToptimal (p > 0.05).Conclusions: The prognostic performances of the cT categorizations at the lung and mediastinal windows were not significantly different. The current cT categorization based on the lung window measurement is appropriate as it stands.Key Points: • Discriminatory power of the eighth-edition clinical T category was not significantly affected by the CT display window settings. • Given the facts that the lung window setting enables more sensitive detection of the solid portions and higher correlation with the pathological invasive components, our findings may support adherence to the usage of the lung window setting for the solid portion measurement per the current recommendations.
      pubtype: Academic Journal
      doctype:
        pictorial
        research
        tables/charts
        Journal Article
      ougenre: Article
    language: English
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