Skip to main content

Main menu

  • Home
  • About
    • About CBM
    • Editorial Board
    • Announcement
  • Articles
    • Ahead of print
    • Current Issue
    • Archive
    • Collections
    • Cover Story
  • For Authors
    • Instructions for Authors
    • Resources
    • Submit a Manuscript
  • For Reviewers
    • Become a Reviewer
    • Instructions for Reviewers
    • Resources
    • Outstanding Reviewer
  • Subscription
  • Alerts
    • Email Alerts
    • RSS Feeds
    • Table of Contents
  • Contact us
  • Other Publications
    • cbm

User menu

  • My alerts

Search

  • Advanced search
Cancer Biology & Medicine
  • Other Publications
    • cbm
  • My alerts
Cancer Biology & Medicine

Advanced Search

 

  • Home
  • About
    • About CBM
    • Editorial Board
    • Announcement
  • Articles
    • Ahead of print
    • Current Issue
    • Archive
    • Collections
    • Cover Story
  • For Authors
    • Instructions for Authors
    • Resources
    • Submit a Manuscript
  • For Reviewers
    • Become a Reviewer
    • Instructions for Reviewers
    • Resources
    • Outstanding Reviewer
  • Subscription
  • Alerts
    • Email Alerts
    • RSS Feeds
    • Table of Contents
  • Contact us
  • Follow cbm on Twitter
  • Visit cbm on Facebook
Research ArticleOriginal Article

Value of metabolic parameters in distinguishing primary mediastinal lymphomas from thymic epithelial tumors

Lei Zhu, Xiaofeng Li, Jian Wang, Qiang Fu, Jianjing Liu, Wenchao Ma, Wengui Xu and Wei Chen
Cancer Biology & Medicine May 2020, 17 (2) 468-477; DOI: https://doi.org/10.20892/j.issn.2095-3941.2019.0428
Lei Zhu
1Department of Molecular Imaging and Nuclear Medicine, Tianjin Medical University Cancer Institute and Hospital; National Clinical Research Center for Cancer; Key Laboratory of Cancer Prevention and Therapy, Tianjin; Tianjin’s Clinical Research Center for Cancer, Tianjin 300060, China
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
Xiaofeng Li
1Department of Molecular Imaging and Nuclear Medicine, Tianjin Medical University Cancer Institute and Hospital; National Clinical Research Center for Cancer; Key Laboratory of Cancer Prevention and Therapy, Tianjin; Tianjin’s Clinical Research Center for Cancer, Tianjin 300060, China
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
Jian Wang
1Department of Molecular Imaging and Nuclear Medicine, Tianjin Medical University Cancer Institute and Hospital; National Clinical Research Center for Cancer; Key Laboratory of Cancer Prevention and Therapy, Tianjin; Tianjin’s Clinical Research Center for Cancer, Tianjin 300060, China
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
Qiang Fu
1Department of Molecular Imaging and Nuclear Medicine, Tianjin Medical University Cancer Institute and Hospital; National Clinical Research Center for Cancer; Key Laboratory of Cancer Prevention and Therapy, Tianjin; Tianjin’s Clinical Research Center for Cancer, Tianjin 300060, China
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
Jianjing Liu
1Department of Molecular Imaging and Nuclear Medicine, Tianjin Medical University Cancer Institute and Hospital; National Clinical Research Center for Cancer; Key Laboratory of Cancer Prevention and Therapy, Tianjin; Tianjin’s Clinical Research Center for Cancer, Tianjin 300060, China
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
Wenchao Ma
1Department of Molecular Imaging and Nuclear Medicine, Tianjin Medical University Cancer Institute and Hospital; National Clinical Research Center for Cancer; Key Laboratory of Cancer Prevention and Therapy, Tianjin; Tianjin’s Clinical Research Center for Cancer, Tianjin 300060, China
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
Wengui Xu
1Department of Molecular Imaging and Nuclear Medicine, Tianjin Medical University Cancer Institute and Hospital; National Clinical Research Center for Cancer; Key Laboratory of Cancer Prevention and Therapy, Tianjin; Tianjin’s Clinical Research Center for Cancer, Tianjin 300060, China
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
Wei Chen
1Department of Molecular Imaging and Nuclear Medicine, Tianjin Medical University Cancer Institute and Hospital; National Clinical Research Center for Cancer; Key Laboratory of Cancer Prevention and Therapy, Tianjin; Tianjin’s Clinical Research Center for Cancer, Tianjin 300060, China
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
  • ORCID record for Wei Chen
  • For correspondence: [email protected]
  • Article
  • Figures & Data
  • Info & Metrics
  • References
  • PDF
Loading

References

  1. 1.↵
    1. Carter BW,
    2. Benveniste MF,
    3. Madan R,
    4. Godoy MC,
    5. de Groot PM,
    6. Truong MT, et al.
    ITMIG classification of mediastinal compartments and multidisciplinary approach to mediastinal masses. Radiographics. 2017; 37: 413–36.
    OpenUrl
  2. 2.↵
    1. Meurgey A,
    2. Girard N,
    3. Merveilleux du Vignaux C,
    4. Maury JM,
    5. Tronc F,
    6. Thivolet-Bejui F, et al.
    Assessment of the ITMIG statement on the WHO histological classification and of the eighth TNM staging of thymic epithelial tumors of a series of 188 thymic epithelial tumors. J Thorac Oncol. 2017; 12: 1571–81.
    OpenUrl
  3. 3.↵
    1. Carter BW,
    2. Benveniste MF,
    3. Madan R,
    4. Godoy MC,
    5. Groot PM,
    6. Truong MT, et al.
    IASLC/ITMIG staging system and lymph node map for thymic epithelial neoplasms. Radiographics. 2017; 37: 758–76.
    OpenUrl
  4. 4.↵
    1. Drevet G,
    2. Collaud S,
    3. Tronc F,
    4. Girard N,
    5. Maury JM.
    Optimal management of thymic malignancies: current perspectives. Cancer Manag Res. 2019; 11: 6803–14.
    OpenUrl
  5. 5.↵
    1. Heyman B,
    2. Yang Y.
    New developments in immunotherapy for lymphoma. Cancer Biol Med. 2018; 15: 189–20.
    OpenUrlAbstract/FREE Full Text
  6. 6.↵
    1. Ackman JB,
    2. Verzosa S,
    3. Kovach AE,
    4. Louissaint A Jr.,
    5. Lanuti M,
    6. Wright CD, et al.
    High rate of unnecessary thymectomy and its cause. Can computed tomography distinguish thymoma, lymphoma, thymic hyperplasia, and thymic cysts? Eur J Radiol. 2015; 84: 524–33.
    OpenUrlCrossRefPubMed
  7. 7.↵
    1. Goldstein AJ,
    2. Oliva I,
    3. Honarpisheh H,
    4. Rubinowitz A.
    A tour of the thymus: a review of thymic lesions with radiologic and pathologic correlation. Can Assoc Radiol J. 2015; 66: 5–15.
    OpenUrl
  8. 8.↵
    1. Padda SK,
    2. Terrone D,
    3. Tian L,
    4. Khuong A,
    5. Neal JW,
    6. Riess JW, et al.
    Computed tomography features associated with the eighth edition TNM stage classification for thymic epithelial tumors. J Thorac Imaging. 2018; 33: 176–83.
    OpenUrl
  9. 9.
    1. Yano M,
    2. Sasaki H,
    3. Moriyama S,
    4. Hikosaka Y,
    5. Okuda K,
    6. Shitara M, et al.
    Clinicopathological analysis of small-sized anterior mediastinal tumors. Surg Today. 2014; 44: 1817–22.
    OpenUrl
  10. 10.
    1. Marom EM.
    Advances in thymoma imaging. J Thorac Imaging. 2013; 28: 69–80.
    OpenUrlCrossRefPubMed
  11. 11.↵
    1. Fatima N,
    2. Zaman M,
    3. Gnanasegaran G,
    4. Zaman U,
    5. Shahid W,
    6. Zaman A, et al.
    Hybrid imaging in oncology. Asian Pac J Cancer Prev. 2015; 16: 5599–605.
    OpenUrl
  12. 12.↵
    1. Yabuuchi H,
    2. Matsuo Y,
    3. Abe K,
    4. Baba S,
    5. Sunami S,
    6. Kamitani T, et al.
    Anterior mediastinal solid tumours in adults: characterisation using dynamic contrast-enhanced MRI, diffusion-weighted MRI, and FDG-PET/CT. Clin Radiol. 2015; 70: 1289–98.
    OpenUrl
  13. 13.↵
    1. Toba H,
    2. Kondo K,
    3. Sadohara Y,
    4. Otsuka H,
    5. Morimoto M,
    6. Kajiura K, et al.
    18F-fluorodeoxyglucose positron emission tomography/computed tomography and the relationship between fluorodeoxyglucose uptake and the expression of hypoxia-inducible factor-1alpha, glucose transporter-1 and vascular endothelial growth factor in thymic epithelial tumours. Eur J Cardiothorac Surg. 2013; 44: e105–12.
  14. 14.↵
    1. Morita T,
    2. Tatsumi M,
    3. Ishibashi M,
    4. Isohashi K,
    5. Kato H,
    6. Honda O, et al.
    Assessment of mediastinal tumors using SUVmax and volumetric parameters on FDG-PET/CT. Asia Ocean J Nucl Med Biol. 2017; 5: 22–9.
    OpenUrl
  15. 15.↵
    1. Eguchi T,
    2. Yoshida K,
    3. Hamanaka K,
    4. Shiina T,
    5. Koizumi T,
    6. Kawakami S, et al.
    Utility of 18F-fluorodeoxyglucose positron emission tomography for distinguishing between the histological types of early stage thymic epithelial tumours. Eur J Cardiothorac Surg. 2012; 41: 1059–62.
    OpenUrlCrossRefPubMed
  16. 16.
    1. Matsumoto I,
    2. Oda M,
    3. Takizawa M,
    4. Waseda R,
    5. Nakajima K,
    6. Kawano M, et al.
    Usefulness of fluorine-18 fluorodeoxyglucose-positron emission tomography in management strategy for thymic epithelial tumors. Ann Thorac Surg. 2013; 95: 305–10.
    OpenUrlCrossRefPubMedWeb of Science
  17. 17.↵
    1. Kitami A,
    2. Sano F,
    3. Ohashi S,
    4. Suzuki K,
    5. Uematsu S,
    6. Suzuki T, et al.
    The usefulness of positron-emission tomography findings in the management of anterior mediastinal tumors. Ann Thorac Cardiovasc Surg. 2017; 23: 26–30.
    OpenUrl
  18. 18.↵
    1. Lodge MA,
    2. Chaudhry MA,
    3. Wahl RL.
    Noise considerations for PET quantification using maximum and peak standardized uptake value. J Nucl Med. 2012; 53: 1041–7.
    OpenUrlAbstract/FREE Full Text
  19. 19.↵
    1. Burger IA,
    2. Huser DM,
    3. Burger C,
    4. von Schulthess GK,
    5. Buck A.
    Repeatability of FDG quantification in tumor imaging: averaged SUVs are superior to SUVmax. Nucl Med Biol. 2012; 39: 666–70.
    OpenUrlCrossRefPubMed
  20. 20.↵
    1. Nahmias C,
    2. Wahl LM.
    Reproducibility of standardized uptake value measurements determined by 18F-FDG PET in malignant tumors. J Nucl Med. 2008; 49: 1804–8.
    OpenUrlAbstract/FREE Full Text
  21. 21.↵
    1. Laffon E,
    2. Cazeau AL,
    3. Monet A,
    4. de Clermont H,
    5. Fernandez P,
    6. Marthan R, et al.
    The effect of renal failure on 18F-FDG uptake: a theoretic assessment. J Nucl Med Technol. 2008; 36: 200–2.
    OpenUrlAbstract/FREE Full Text
  22. 22.↵
    1. Nakagawa K,
    2. Takahashi S,
    3. Endo M,
    4. Ohde Y,
    5. Kurihara H,
    6. Terauchi T.
    Can (18)F-FDG PET predict the grade of malignancy in thymic epithelial tumors? An evaluation of only resected tumors. Cancer Manag Res. 2017; 9: 761–8.
    OpenUrl
  23. 23.↵
    1. Benveniste MF,
    2. Moran CA,
    3. Mawlawi O,
    4. Fox PS,
    5. Swisher SG,
    6. Munden RF, et al.
    FDG PET-CT aids in the preoperative assessment of patients with newly diagnosed thymic epithelial malignancies. J Thorac Oncol. 2013; 8: 502–10.
    OpenUrlCrossRefPubMed
  24. 24.↵
    1. Lee HS,
    2. Oh JS,
    3. Park YS,
    4. Jang SJ,
    5. Choi IS,
    6. Ryu JS.
    Differentiating the grades of thymic epithelial tumor malignancy using textural features of intratumoral heterogeneity via (18)F-FDG PET/CT. Ann Nucl Med. 2016; 30: 309–19.
    OpenUrl
  25. 25.
    1. Viti A,
    2. Bertolaccini L,
    3. Cavallo A,
    4. Fortunato M,
    5. Bianchi A,
    6. Terzi A.
    18-Fluorine fluorodeoxyglucose positron emission tomography in the pretreatment evaluation of thymic epithelial neoplasms: a metabolic biopsy confirmed by Ki-67 expression. Eur J Cardiothorac Surg. 2014; 46: 369–74.
    OpenUrlCrossRefPubMed
  26. 26.
    1. Watanabe T,
    2. Shimomura H,
    3. Mutoh T,
    4. Saito R,
    5. Goto R,
    6. Yamada T, et al.
    Positron emission tomography/computed tomography as a clinical diagnostic tool for anterior mediastinal tumors. Surg Today. 2019; 49: 143–9.
    OpenUrl
  27. 27.↵
    1. Park SY,
    2. Cho A,
    3. Bae MK,
    4. Lee CY,
    5. Kim DJ,
    6. Chung KY.
    Value of 18F-FDG PET/CT for Predicting the World Health Organization malignant grade of thymic epithelial tumors: focused in volumedependent parameters. Clin Nucl Med. 2016; 41: 15–20.
    OpenUrl
PreviousNext
Back to top

In this issue

Cancer Biology and Medicine: 17 (2)
Cancer Biology & Medicine
Vol. 17, Issue 2
15 May 2020
  • Table of Contents
  • Index by author
Print
Download PDF
Email Article

Thank you for your interest in spreading the word on Cancer Biology & Medicine.

NOTE: We only request your email address so that the person you are recommending the page to knows that you wanted them to see it, and that it is not junk mail. We do not capture any email address.

Enter multiple addresses on separate lines or separate them with commas.
Value of metabolic parameters in distinguishing primary mediastinal lymphomas from thymic epithelial tumors
(Your Name) has sent you a message from Cancer Biology & Medicine
(Your Name) thought you would like to see the Cancer Biology & Medicine web site.
Citation Tools
Value of metabolic parameters in distinguishing primary mediastinal lymphomas from thymic epithelial tumors
Lei Zhu, Xiaofeng Li, Jian Wang, Qiang Fu, Jianjing Liu, Wenchao Ma, Wengui Xu, Wei Chen
Cancer Biology & Medicine May 2020, 17 (2) 468-477; DOI: 10.20892/j.issn.2095-3941.2019.0428

Citation Manager Formats

  • BibTeX
  • Bookends
  • EasyBib
  • EndNote (tagged)
  • EndNote 8 (xml)
  • Medlars
  • Mendeley
  • Papers
  • RefWorks Tagged
  • Ref Manager
  • RIS
  • Zotero
Share
Value of metabolic parameters in distinguishing primary mediastinal lymphomas from thymic epithelial tumors
Lei Zhu, Xiaofeng Li, Jian Wang, Qiang Fu, Jianjing Liu, Wenchao Ma, Wengui Xu, Wei Chen
Cancer Biology & Medicine May 2020, 17 (2) 468-477; DOI: 10.20892/j.issn.2095-3941.2019.0428
Twitter logo Facebook logo Mendeley logo
  • Tweet Widget
  • Facebook Like
  • Google Plus One

Jump to section

  • Article
    • Abstract
    • Introduction
    • Materials and methods
    • Results
    • Discussion
    • Conclusions
    • Acknowledgments
    • Footnotes
    • References
  • Figures & Data
  • Info & Metrics
  • References
  • PDF

Related Articles

  • No related articles found.
  • Google Scholar

Cited By...

  • No citing articles found.
  • Google Scholar

More in this TOC Section

  • GPRC5A/CXCL8/NLRP3-mediated neutrophil extracellular traps drive gemcitabine-nab-paclitaxel resistance in pancreatic adenocarcinoma
  • Comprehensive strategies for management of postoperative hyper-progression recurrence (HPR) of hepatocellular carcinoma: a 12-year large sample multi-center study
  • Cancer cell-derived migrasomes harboring ATF6 promote breast cancer brain metastasis via endoplasmic reticulum stress-mediated disruption of the blood-brain barrier
Show more Original Article

Similar Articles

Keywords

  • FDG PET-CT
  • lymphoma
  • metabolic tumor burden
  • quantitative evaluation
  • thymic epithelial tumors

Navigate

  • Home
  • Current Issue

More Information

  • About CBM
  • About CACA
  • About TMUCIH
  • Editorial Board
  • Subscription

For Authors

  • Instructions for authors
  • Journal Policies
  • Submit a Manuscript

Journal Services

  • Email Alerts
  • Facebook
  • RSS Feeds
  • Twitter

 

© 2025 Cancer Biology & Medicine

Powered by HighWire