Literature DB >> 21623235

Computed tomography findings predicting invasiveness of thymoma.

Edith M Marom1, Miguel A Milito, Cesar A Moran, Ping Liu, Arlene M Correa, Edward S Kim, Ritsuko Komaki, Jeremy J Erasmus, Wayne L Hofstetter, David C Rice, Stephen G Swisher.   

Abstract

PURPOSE: To identify preoperative computed tomography (CT) findings associated with thymoma invasiveness before surgical resection and with clinical outcome.
METHODS: We retrospectively reviewed CT scans of 99 patients with thymoma surgically treated at our institution between September 1999 and April 2010. Chest CT findings documented were size, volume, and heterogeneity of primary tumor; abutment of mediastinal vessels; and presence of calcifications, lobulation, infiltration of fat surrounding tumor, adjacent pulmonary changes, adenopathy, and pleural nodularity.
RESULTS: Our study group consisted of 53 (54%) men and 46 (46%) women, age 18-79 years (mean: 53.2 years). Masaoka pathologic stages were stage I for 10 (10%), stage II for 48 (48%), stage III for 21 (21%), and stage IV for 20 (20%). The median radiologic tumor size was 7 cm (range: 2.5-21 cm). A multivariable logistic regression model showed that primary tumors with prechemotherapy radiologic tumor size ≥ 7 cm (odds ratio [OR]: 3.18, 95% confidence interval [CI]: 1.16-8.67, p = 0.02), a lobulated tumor contour (OR: 8.20, 95% CI: 1.63-41.35, p = 0.01), and infiltration of surrounding fat (OR: 3.76, 95% CI: 1.45-9.78, p = 0.007) were more likely to have stage III or IV disease. Cox's proportional hazard model showed that the presence of pulmonary nodules on staging CT was the only imaging parameter associated with shorter progression-free survival (hazard ratio: 4.93, 95% CI: 1.60-15.17, p = 0.005) and overall survival (p = 0.03).
CONCLUSION: The primary tumor CT imaging features can differentiate between stage I/II and stage III/IV disease and, thus, help identify patients more likely to benefit from neoadjuvant therapy.

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Year:  2011        PMID: 21623235     DOI: 10.1097/JTO.0b013e31821c4203

Source DB:  PubMed          Journal:  J Thorac Oncol        ISSN: 1556-0864            Impact factor:   15.609


  36 in total

1.  Multilobulated thymoma with an acute angle: a new predictor of lung invasion.

Authors:  Daniel B Green; Sarah Eliades; Alan C Legasto; Gulce Askin; Jeffrey L Port; James F Gruden
Journal:  Eur Radiol       Date:  2019-02-26       Impact factor: 5.315

2.  Texture analysis of 18F-FDG PET/CT for grading thymic epithelial tumours: usefulness of combining SUV and texture parameters.

Authors:  Masatoyo Nakajo; Megumi Jinguji; Tetsuya Shinaji; Masayuki Nakajo; Masaya Aoki; Atsushi Tani; Masami Sato; Takashi Yoshiura
Journal:  Br J Radiol       Date:  2018-01-19       Impact factor: 3.039

3.  Clinical implication of the new TNM classification of thymic malignancies.

Authors:  Frank C Detterbeck
Journal:  J Thorac Dis       Date:  2018-08       Impact factor: 2.895

4.  Only when all contribute their firewood can they build up a big fire.

Authors:  Marcelo F Benveniste; Edith M Marom
Journal:  J Thorac Dis       Date:  2016-07       Impact factor: 2.895

5.  CT staging and preoperative assessment of resectability for thymic epithelial tumors.

Authors:  Yan Shen; Zhitao Gu; Jianding Ye; Teng Mao; Wentao Fang; Wenhu Chen
Journal:  J Thorac Dis       Date:  2016-04       Impact factor: 2.895

6.  Pretreatment biopsy for thymic epithelial tumors-does histology subtype matter for treatment strategy?

Authors:  Sukhmani K Padda; Marlies Keijzers; Heather A Wakelee
Journal:  J Thorac Dis       Date:  2016-08       Impact factor: 2.895

7.  Volume-based quantification using dual-energy computed tomography in the differentiation of thymic epithelial tumours: an initial experience.

Authors:  Suyon Chang; Jin Hur; Dong Jin Im; Young Joo Suh; Yoo Jin Hong; Hye-Jeong Lee; Young Jin Kim; Kyunghwa Han; Dae Joon Kim; Chang Young Lee; Ha Young Shin; Byoung Wook Choi
Journal:  Eur Radiol       Date:  2016-08-23       Impact factor: 5.315

8.  Computed Tomography Features associated With the Eighth Edition TNM Stage Classification for Thymic Epithelial Tumors.

Authors:  Sukhmani K Padda; Donato Terrone; Lu Tian; Amanda Khuong; Joel W Neal; Jonathan W Riess; Mark F Berry; Chuong D Hoang; Bryan M Burt; Ann N Leung; Erich J Schwartz; Joseph B Shrager; Heather A Wakelee
Journal:  J Thorac Imaging       Date:  2018-05       Impact factor: 3.000

9.  Preoperative misdiagnosis analysis and accurate distinguish intrathymic cyst from small thymoma on computed tomography.

Authors:  Xin Li; Xingpeng Han; Wei Sun; Meng Wang; Guohui Jing; Xun Zhang
Journal:  J Thorac Dis       Date:  2016-08       Impact factor: 2.895

10.  FDG PET-CT aids in the preoperative assessment of patients with newly diagnosed thymic epithelial malignancies.

Authors:  Marcelo F K Benveniste; Cesar A Moran; Osama Mawlawi; Patricia S Fox; Stephen G Swisher; Reginald F Munden; Edith M Marom
Journal:  J Thorac Oncol       Date:  2013-04       Impact factor: 15.609

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