Literature DB >> 24840477

Morphological computed tomography features of surgically resectable pulmonary squamous cell carcinomas: impact on prognosis and comparison with adenocarcinomas.

Marcel Koenigkam Santos1, Thomas Muley2, Arne Warth3, Wagner Diniz de Paula4, Mathieu Lederlin5, Philipp Albert Schnabel6, Heinz-Peter Schlemmer7, Hans-Ulrich Kauczor8, Claus Peter Heussel2, Michael Puderbach9.   

Abstract

OBJECTIVE: To characterize the morphological computed tomography (CT) features of pulmonary squamous cell carcinomas (SQCC) submitted to therapeutic resection; to correlate these features with patients' outcomes; and to compare with pulmonary adenocarcinomas (ADC).
MATERIALS AND METHODS: Two chest radiologists retrospectively evaluated CT exams of 123 patients with SQCC resected between 2002 and 2008. Tumors' size, location (central vs. peripheral), shape, margins, attenuation, enhancement, presence of calcification, cavitation, internal air bronchograms and pleural tags were assigned by consensus. Prevalence of features was compared with patients' survival data and a previously studied population of ADC surgically resected at the same time period.
RESULTS: Cavitation correlated negatively with overall (hazard ratio=3.04), disease-specific (HR=3.67) and disease-free survival (HR=2.69), independent from age, gender, tumor pathological stage, size, and location. In relation to ADC, SQCC presented different shape, margins, attenuation, enhancement, with more cavitation, rare internal air bronchograms, and less pleural tags. Differences were also significant when comparing only the peripheral type of tumors.
CONCLUSIONS: Cavitation at CT was an independent and negative predictive factor for SQCC. Different CT morphological features were described for SQCC and ADC. Image evaluation of lung lesions should go beyond measuring and addressing adjacent structures invasion. Adequate imaging characterization not only helps to differentiate benign versus malignant disease and to determine malignancy staging, it may also imply the histologic subtype and improve the prognostic assessment of lung cancer patients.
Copyright © 2014 Elsevier Ireland Ltd. All rights reserved.

Entities:  

Keywords:  Adenocarcinoma of lung; Computed tomography; Morphology; Squamous cell carcinoma of lung; Survival

Mesh:

Year:  2014        PMID: 24840477     DOI: 10.1016/j.ejrad.2014.04.019

Source DB:  PubMed          Journal:  Eur J Radiol        ISSN: 0720-048X            Impact factor:   3.528


  11 in total

1.  CT-based radiomics for prediction of histologic subtype and metastatic disease in primary malignant lung neoplasms.

Authors:  José Raniery Ferreira-Junior; Marcel Koenigkam-Santos; Ariane Priscilla Magalhães Tenório; Matheus Calil Faleiros; Federico Enrique Garcia Cipriano; Alexandre Todorovic Fabro; Janne Näppi; Hiroyuki Yoshida; Paulo Mazzoncini de Azevedo-Marques
Journal:  Int J Comput Assist Radiol Surg       Date:  2019-11-13       Impact factor: 2.924

2.  Ablation of Liver X receptors α and β leads to spontaneous peripheral squamous cell lung cancer in mice.

Authors:  Yu-Bing Dai; Yi-Fei Miao; Wan-Fu Wu; Yu Li; Francesca D'Errico; Wen Su; Alan R Burns; Bo Huang; Laure Maneix; Margaret Warner; Jan-Åke Gustafsson
Journal:  Proc Natl Acad Sci U S A       Date:  2016-06-22       Impact factor: 11.205

3.  CT characteristics in pulmonary adenocarcinoma with epidermal growth factor receptor mutation.

Authors:  Jing Zhao; Julien Dinkel; Arne Warth; Roland Penzel; Niels Reinmuth; Philipp Schnabel; Thomas Muley; Michael Meister; Heike Zabeck; Martin Steins; Jian-Yong Yang; Qian Zhou; Heinz-Peter Schlemmer; Felix J F Herth; Hans-Ulrich Kauczor; Claus Peter Heussel
Journal:  PLoS One       Date:  2017-09-26       Impact factor: 3.240

4.  Clinicopathological characteristics of solitary cavitary lung cancer: a case-control study.

Authors:  Zhan Liu; Hongxiang Feng; Zhenrong Zhang; Hongliang Sun; Deruo Liu
Journal:  J Thorac Dis       Date:  2020-06       Impact factor: 2.895

5.  Non-invasive classification of non-small cell lung cancer: a comparison between random forest models utilising radiomic and semantic features.

Authors:  Usman Bashir; Bhavin Kawa; Muhammad Siddique; Sze Mun Mak; Arjun Nair; Emma Mclean; Andrea Bille; Vicky Goh; Gary Cook
Journal:  Br J Radiol       Date:  2019-06-05       Impact factor: 3.039

6.  Identifying Cross-Scale Associations between Radiomic and Pathomic Signatures of Non-Small Cell Lung Cancer Subtypes: Preliminary Results.

Authors:  Charlems Alvarez-Jimenez; Alvaro A Sandino; Prateek Prasanna; Amit Gupta; Satish E Viswanath; Eduardo Romero
Journal:  Cancers (Basel)       Date:  2020-12-07       Impact factor: 6.639

7.  Radiomic analysis of lung cancer for the assessment of patient prognosis and intratumor heterogeneity.

Authors:  José Raniery Ferreira Junior; Marcel Koenigkam-Santos; Camila Vilas Boas Machado; Matheus Calil Faleiros; Natália Santana Chiari Correia; Federico Enrique Garcia Cipriano; Alexandre Todorovic Fabro; Paulo Mazzoncini de Azevedo-Marques
Journal:  Radiol Bras       Date:  2021 Mar-Apr

8.  CT findings of basaloid squamous cell carcinoma of the lung in 12 patients: A distinct category of squamous cell carcinoma in 2015 WHO classification of lung tumors.

Authors:  Chu Hyun Kim; Yoon Ki Cha; Joungho Han; Jun Ho Kim; Tae Jung Kim; Myung Jin Chung; Jung Hee Lee; Hyun Jung Yoon
Journal:  Medicine (Baltimore)       Date:  2022-05-13       Impact factor: 1.817

9.  Clinical and radiological characteristics of central pulmonary adenocarcinoma: a comparison with central squamous cell carcinoma and small cell lung cancer and the impact on treatment response.

Authors:  Zhe Wang; Minghuan Li; Yong Huang; Li Ma; Hui Zhu; Li Kong; Jinming Yu
Journal:  Onco Targets Ther       Date:  2018-05-04       Impact factor: 4.147

Review 10.  Artificial intelligence, machine learning, computer-aided diagnosis, and radiomics: advances in imaging towards to precision medicine.

Authors:  Marcel Koenigkam Santos; José Raniery Ferreira Júnior; Danilo Tadao Wada; Ariane Priscilla Magalhães Tenório; Marcello Henrique Nogueira Barbosa; Paulo Mazzoncini de Azevedo Marques
Journal:  Radiol Bras       Date:  2019 Nov-Dec
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