Literature DB >> 32734427

18F-FDG-PET/CT predicts grade of malignancy and invasive potential of thymic epithelial tumors.

Takamasa Ito1, Hidemi Suzuki2, Yuichi Sakairi1, Hironobu Wada1, Takahiro Nakajima1, Ichiro Yoshino1.   

Abstract

PURPOSE: The aim of this study was to evaluate the ability of fluorine-18-fluorodeoxyglucose positron emission tomography coupled with computed tomography (18F-FDG-PET/CT) to predict the WHO malignancy grade, initial staging, and invasive potential of thymic epithelial tumors.
METHODS: We retrospectively reviewed the medical records of 56 patients with thymic epithelial tumors who were evaluated by PET/CT before surgery and underwent surgical resection. We analyzed the relationship of the maximum standardized uptake value (SUVmax) with the WHO histological classification, tumor invasion, TNM classification, and the Masaoka-Koga classification.
RESULTS: There were differences of SUVmax of the FDG-PET between thymic carcinoma (9.09 ± 3.34) and thymoma (4.86 ± 2.45; p < 0.01), thymic carcinoma (9.09 ± 3.34) and high-grade thymoma (6.01 ± 2.78; p < 0.01), and high-grade thymoma (6.01 ± 2.78) and low-grade thymoma (4.06 ± 1.86; p < 0.01). The cut-off value for the SUVmax was 7.40 and 5.40, and the sensitivity/specificity for predicting the histologic subtype of each group was 0.72/0.79 and 0.61/0.85, respectively. According to T classification, SUVmax was significantly higher in T3 (8.31 ± 2.57) than in T1a (4.45 ± 2.06; p < 0.01). Regarding Masaoka-Koga classification and WHO histological classification, a significantly higher SUVmax was detected in patients with stage III and IV disease than in those with stage I and II diseases (p < 0.01). The cut-off value for SUVmax was 5.40 in Masaoka-Koga stage and 5.60 in the WHO classification; the sensitivity/specificity for predicting the histologic subtype was 0.85/0.80 and 0.89/0.78, respectively.
CONCLUSIONS: FDG-PET is a useful tool to predict aggressiveness of thymic epithelial tumors.

Entities:  

Keywords:  FDG-PET; SUVmax; Thymic epithelial tumors

Mesh:

Substances:

Year:  2020        PMID: 32734427     DOI: 10.1007/s11748-020-01439-7

Source DB:  PubMed          Journal:  Gen Thorac Cardiovasc Surg        ISSN: 1863-6705


  3 in total

1.  Diagnostic Value of Dual-time-point F-18 FDG PET/CT and Chest CT for the Prediction of Thymic Epithelial Neoplasms.

Authors:  Takayoshi Shinya; Takashi Tanaka; Junichi Soh; Toshi Matsushita; Shuhei Sato; Shinichi Toyooka; Tadashi Yoshino; Shinichiro Miyoshi; Susumu Kanazawa
Journal:  Acta Med Okayama       Date:  2017-04       Impact factor: 0.892

2.  Assessment of Mediastinal Tumors Using SUVmax and Volumetric Parameters on FDG-PET/CT.

Authors:  Takahiro Morita; Mitsuaki Tatsumi; Mana Ishibashi; Kayako Isohashi; Hiroki Kato; Osamu Honda; Eku Shimosegawa; Noriyuki Tomiyama; Jun Hatazawa
Journal:  Asia Ocean J Nucl Med Biol       Date:  2017

3.  Quantitative analysis of metabolic parameters at 18F-fluorodeoxyglucose positron emission tomography in predicting malignant potential of anterior mediastinal tumors.

Authors:  Toshiki Yajima; Akira Mogi; Kimihiro Shimizu; Takayuki Kosaka; Yoichi Ohtaki; Kai Obayashi; Seshiru Nakazawa; Takahito Nakajima; Yoshito Tsushima; Ken Shirabe
Journal:  Oncol Lett       Date:  2020-01-09       Impact factor: 2.967

  3 in total
  4 in total

1.  Can the Ratio SUVmax of the Lesion/SUVmax of Mediastinal Tissues Guide the Choice of Surgical Access for the Resection of Thymic Epithelial Tumors?

Authors:  Sotirios D Moraitis; Apostolos C Agrafiotis; Evangelia Skoura; Dimitrios Kalkanis; Dimitrios Moraitis; Periklis Tomos; Theodoros Liakakos; Dimitrios Angouras
Journal:  Front Surg       Date:  2022-03-15

Review 2.  Current Roles of PET/CT in Thymic Epithelial Tumours: Which Evidences and Which Prospects? A Pictorial Review.

Authors:  Filippo Lococo; Marco Chiappetta; Elizabeth Katherine Anna Triumbari; Jessica Evangelista; Maria Teresa Congedo; Daniele Antonio Pizzuto; Debora Brascia; Giuseppe Marulli; Salvatore Annunziata; Stefano Margaritora
Journal:  Cancers (Basel)       Date:  2021-12-03       Impact factor: 6.639

3.  Multiparameter diagnostic model based on 18F-FDG PET and clinical characteristics can differentiate thymic epithelial tumors from thymic lymphomas.

Authors:  Guanyun Wang; Lei Du; Xia Lu; Jiajin Liu; Mingyu Zhang; Yue Pan; Xiaolin Meng; Xiaodan Xu; Zhiwei Guan; Jigang Yang
Journal:  BMC Cancer       Date:  2022-08-16       Impact factor: 4.638

4.  How can the rate of nontherapeutic thymectomy be reduced?

Authors:  Shuai Wang; Yongqiang Ao; Jiahao Jiang; Miao Lin; Gang Chen; Junzhen Liu; Shihai Zhao; Jian Gao; Yi Zhang; Jianyong Ding; Lijie Tan
Journal:  Interact Cardiovasc Thorac Surg       Date:  2022-08-03
  4 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.