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In vivo growth of 60 non-screening detected lung cancers: a computed tomography study.
Mets, Onno M; Chung, Kaman; Zanen, Pieter; Scholten, Ernst T; Veldhuis, Wouter B; van Ginneken, Bram; Prokop, Mathias; Schaefer-Prokop, Cornelia M; de Jong, Pim A.
Afiliación
  • Mets OM; Dept of Radiology, University Medical Center Utrecht, Utrecht University, Utrecht, The Netherlands.
  • Chung K; Diagnostic Image Analysis Group, Radboud University Medical Center, Nijmegen, The Netherlands.
  • Zanen P; Dept of Pulmonology, University Medical Center Utrecht, Utrecht University, Utrecht, The Netherlands.
  • Scholten ET; Diagnostic Image Analysis Group, Radboud University Medical Center, Nijmegen, The Netherlands.
  • Veldhuis WB; Dept of Radiology, University Medical Center Utrecht, Utrecht University, Utrecht, The Netherlands.
  • van Ginneken B; Diagnostic Image Analysis Group, Radboud University Medical Center, Nijmegen, The Netherlands.
  • Prokop M; Dept of Radiology, Radboud University Medical Center, Nijmegen, The Netherlands.
  • Schaefer-Prokop CM; Diagnostic Image Analysis Group, Radboud University Medical Center, Nijmegen, The Netherlands.
  • de Jong PA; Dept of Radiology, Meander Medical Center, Amersfoort, The Netherlands.
Eur Respir J ; 51(4)2018 04.
Article en En | MEDLINE | ID: mdl-29650547
Current pulmonary nodule management guidelines are based on nodule volume doubling time, which assumes exponential growth behaviour. However, this is a theory that has never been validated in vivo in the routine-care target population. This study evaluates growth patterns of untreated solid and subsolid lung cancers of various histologies in a non-screening setting.Growth behaviour of pathology-proven lung cancers from two academic centres that were imaged at least three times before diagnosis (n=60) was analysed using dedicated software. Random-intercept random-slope mixed-models analysis was applied to test which growth pattern most accurately described lung cancer growth. Individual growth curves were plotted per pathology subgroup and nodule type.We confirmed that growth in both subsolid and solid lung cancers is best explained by an exponential model. However, subsolid lesions generally progress slower than solid ones. Baseline lesion volume was not related to growth, indicating that smaller lesions do not grow slower compared to larger ones.By showing that lung cancer conforms to exponential growth we provide the first experimental basis in the routine-care setting for the assumption made in volume doubling time analysis.
Asunto(s)

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Tomografía Computarizada por Rayos X / Nódulo Pulmonar Solitario / Neoplasias Pulmonares / Estadificación de Neoplasias Tipo de estudio: Clinical_trials / Diagnostic_studies / Evaluation_studies / Guideline / Screening_studies Límite: Adult / Aged / Female / Humans / Male / Middle aged País/Región como asunto: Europa Idioma: En Revista: Eur Respir J Año: 2018 Tipo del documento: Article País de afiliación: Países Bajos Pais de publicación: Reino Unido

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Tomografía Computarizada por Rayos X / Nódulo Pulmonar Solitario / Neoplasias Pulmonares / Estadificación de Neoplasias Tipo de estudio: Clinical_trials / Diagnostic_studies / Evaluation_studies / Guideline / Screening_studies Límite: Adult / Aged / Female / Humans / Male / Middle aged País/Región como asunto: Europa Idioma: En Revista: Eur Respir J Año: 2018 Tipo del documento: Article País de afiliación: Países Bajos Pais de publicación: Reino Unido