Literature DB >> 34554302

Using CT to evaluate mediastinal great vein invasion by thymic epithelial tumors: measurement of the interface between the tumor and neighboring structures.

Shoji Kuriyama1, Kazuhiro Imai2, Koichi Ishiyama3, Shinogu Takashima1, Maiko Atari1, Tsubasa Matsuo1, Yoshiaki Ishii1, Yuzu Harata1, Yusuke Sato1, Satoru Motoyama1, Kyoko Nomura4, Manabu Hashimoto3, Yoshihiro Minamiya1.   

Abstract

OBJECTIVES: For thymic epithelial tumors, simple contact with adjacent structures does not necessarily mean invasion. The purpose of our study was to develop a simple noninvasive technique for evaluating organ invasion using routine pretreatment computed tomography (CT).
METHODS: This retrospective study analyzed the pathological reports on 95 mediastinal resections performed between January 2003 and June 2020. Using CT images, the length of the interface between the primary tumor and neighboring structures (arch distance; Adist) and maximum tumor diameter (Dmax) was measured, after which Adist/Dmax (A/D) ratios were calculated. Receiver operating characteristic (ROC) curves were used to analyze the Adist and A/D ratios.
RESULTS: An Adist cut-off of 37.5 mm best distinguished between invaded and non-invaded mediastinal great veins based on ROC curves. When Adist > 37.5 mm was used for diagnosis of invasion of the brachiocephalic vein (BCV) or superior vena cava (SVC), the sensitivity, specificity, positive predictive value, negative predictive value, accuracy, and area under the ROC curve for diagnosis of invasion were 61.9%, 92.5%, 81.25%, 82.2%, 81.97%, and 0.76429, respectively. Moreover, there were significant differences between BCV/SVC Adist > 37.5 mm and ≤ 37.5 mm for 10-year relapse-free survival and 10-year overall survival (p < 0.01).
CONCLUSIONS: When diagnosing invasion of the mediastinal great veins based on Adist > 37.5 mm, we achieved a higher performance level than the conventional criteria such as irregular interface with an absence of the fat layer. Measurement of Adist is a simple noninvasive technique for evaluating invasion using CT. Key Points • Simple contact between the primary tumor and adjacent structures on CT does not indicate direct invasion. • Using CT images, the length of the interface between the primary tumor and neighboring structures (arch distance; Adist) is a simple noninvasive technique for evaluating invasion. • Adist > 37.5 mm can be a supportive tool to identify invaded mediastinal great veins and surgical indications for T3 and T4 invasion by thymic epithelial tumors.
© 2021. European Society of Radiology.

Entities:  

Keywords:  Brachiocephalic veins; Mediastinal neoplasms; Neoplasm invasiveness; Thymic epithelial tumor; Vena cava, superior

Mesh:

Year:  2021        PMID: 34554302     DOI: 10.1007/s00330-021-08276-z

Source DB:  PubMed          Journal:  Eur Radiol        ISSN: 0938-7994            Impact factor:   5.315


  38 in total

1.  The IASLC/ITMIG Thymic Epithelial Tumors Staging Project: proposal for an evidence-based stage classification system for the forthcoming (8th) edition of the TNM classification of malignant tumors.

Authors:  Frank C Detterbeck; Kelly Stratton; Dorothy Giroux; Hisao Asamura; John Crowley; Conrad Falkson; Pier Luigi Filosso; Aletta A Frazier; Giuseppe Giaccone; James Huang; Jhingook Kim; Kazuya Kondo; Marco Lucchi; Mirella Marino; Edith M Marom; Andrew G Nicholson; Meinoshin Okumura; Enrico Ruffini; Paul Van Schil
Journal:  J Thorac Oncol       Date:  2014-09       Impact factor: 15.609

2.  A method of comparing the areas under receiver operating characteristic curves derived from the same cases.

Authors:  J A Hanley; B J McNeil
Journal:  Radiology       Date:  1983-09       Impact factor: 11.105

3.  Preoperative computed tomography findings predict surgical resectability of thymoma.

Authors:  Sara A Hayes; James Huang; Andrew J Plodkowski; Janine Katzen; Junting Zheng; Chaya S Moskowitz; Michelle S Ginsberg
Journal:  J Thorac Oncol       Date:  2014-07       Impact factor: 15.609

4.  Radiographic Predictors of Resectability in Thymic Carcinoma.

Authors:  Sara A Hayes; James Huang; Jennifer Golia Pernicka; Jane Cunningham; Junting Zheng; Chaya S Moskowitz; Michelle S Ginsberg
Journal:  Ann Thorac Surg       Date:  2018-03-11       Impact factor: 4.330

5.  Associations between computed tomography features of thymomas and their pathological classification.

Authors:  Yoshiyuki Ozawa; Masaki Hara; Masashi Shimohira; Keita Sakurai; Motoo Nakagawa; Yuta Shibamoto
Journal:  Acta Radiol       Date:  2016-07-20       Impact factor: 1.990

6.  Use of CT to evaluate pleural invasion in non-small cell lung cancer: measurement of the ratio of the interface between tumor and neighboring structures to maximum tumor diameter.

Authors:  Kazuhiro Imai; Yoshihiro Minamiya; Kouichi Ishiyama; Manabu Hashimoto; Hajime Saito; Satoru Motoyama; Yusuke Sato; Jun-ichi Ogawa
Journal:  Radiology       Date:  2013-01-17       Impact factor: 11.105

Review 7.  Advances in thymoma imaging.

Authors:  Edith M Marom
Journal:  J Thorac Imaging       Date:  2013-03       Impact factor: 3.000

8.  A review of 79 thymomas: modification of staging system and reappraisal of conventional division into invasive and non-invasive thymoma.

Authors:  K Koga; Y Matsuno; M Noguchi; K Mukai; H Asamura; T Goya; Y Shimosato
Journal:  Pathol Int       Date:  1994-05       Impact factor: 2.534

9.  Preoperative CT findings of thymoma are correlated with postoperative Masaoka clinical stage.

Authors:  Yan-Juan Qu; Guo-Bing Liu; He-Shui Shi; Mei-Yan Liao; Gui-Fang Yang; Zhi-Xiong Tian
Journal:  Acad Radiol       Date:  2012-09-14       Impact factor: 3.173

10.  Follow-up study of thymomas with special reference to their clinical stages.

Authors:  A Masaoka; Y Monden; K Nakahara; T Tanioka
Journal:  Cancer       Date:  1981-12-01       Impact factor: 6.860

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