Literature DB >> 19682760

GTV spatial conformity between different delineation methods by 18FDG PET/CT and pathology in esophageal cancer.

Wen Yu1, Xiao-Long Fu, Ying-Jian Zhang, Jia-Qing Xiang, Lei Shen, Guo-Liang Jiang, Joe Y Chang.   

Abstract

PURPOSE: To find optimal threshold of length and GTV delineation for esophageal cancer using 18FDG PET/CT.
MATERIALS AND METHODS: Sixteen patients with esophageal carcinoma underwent surgery. For each patient, six GTVs were defined. GTVCT was based on CT data alone. GTV20%, GTV40%, GTV2.5 and GTV40%M were generated by PET/CT, using SUVbgd + 20%(SUVmax(slice)--SUVbgd), SUVbgd + 40%(SUVmax(slice)--SUVbgd), 2.5 and 40%SUVmax(total) as thresholds. GTVpath was derived from pathology. Lengths of GTVs were recorded as LCT, L20%, L40%, L2.5, L40%M and Lpath, respectively. The former five GTVs/lengths were compared with GTVpath/Lpath by means of a conformity index CI/CI', which is the square of intersection of two GTVs/lengths divided by their product.
RESULTS: Mean LCT, L20%, L40%, L2.5, L40%M and Lpath were 6.30 +/- 2.69, 5.55 +/- 2.48, 6.80 +/- 2.92, 6.65 +/- 2.66, 4.88 +/- 1.99 and 5.90 +/- 2.38 cm. Mean , , , and were 0.68 +/- 0.16, 0.84 +/- 0.17, 0.76 +/- 0.14, 0.78 +/- 0.15 and 0.80 +/- 0.11. and was significantly superior to (P < 0.05). Mean GTVCT, GTV20%, GTV40%, GTV2.5, GTV40%M and GTVpath were 29.16 +/- 18.56, 18.75 +/- 12.37, 12.52 +/- 8.08, 22.69 +/- 14.84, 9.18 +/- 5.96 and 28.16 +/- 17.02 cm3. Mean CIs increased significantly from CI40%&amp;path(0.27 +/- 0.09) and CI'40% M&amp;path (0.28 +/- 0.08) < CI'20% &amp; path (0.52 +/- 0.16) and CI'2.5&amp;path (0.52 +/- 0.20) < CICT&amp;path(0.77 +/- 0.17).
CONCLUSIONS: The SUVbgd + 20% (SUVmax(slice)--SUVbgd) method optimally estimated gross tumor length, but only reached an unsatisfactory CI for GTV. Due to possible motion factor enveloped in PET images and lack of histopathologic transverse reference, the information from both PET and CT should be referred to complementarily when delineating GTV.

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Year:  2009        PMID: 19682760     DOI: 10.1016/j.radonc.2009.07.003

Source DB:  PubMed          Journal:  Radiother Oncol        ISSN: 0167-8140            Impact factor:   6.280


  10 in total

Review 1.  A review on segmentation of positron emission tomography images.

Authors:  Brent Foster; Ulas Bagci; Awais Mansoor; Ziyue Xu; Daniel J Mollura
Journal:  Comput Biol Med       Date:  2014-04-28       Impact factor: 4.589

2.  High FDG uptake areas on pre-radiotherapy PET/CT identify preferential sites of local relapse after chemoradiotherapy for locally advanced oesophageal cancer.

Authors:  Jérémie Calais; Bernard Dubray; Lamyaa Nkhali; Sebastien Thureau; Charles Lemarignier; Romain Modzelewski; Isabelle Gardin; Frederic Di Fiore; Pierre Michel; Pierre Vera
Journal:  Eur J Nucl Med Mol Imaging       Date:  2015-02-14       Impact factor: 9.236

3.  Can Clinical Response Predict Pathologic Response Following Neoadjuvant Chemoradiation for Esophageal Cancer?

Authors:  Puja G Khaitan; Tyler Holliday; Austin Carroll; Wayne L Hofstetter; Erin M Bayley; Nicolas Zhou; Sameer Desale; Thomas J Watson
Journal:  J Gastrointest Surg       Date:  2022-04-12       Impact factor: 3.267

4.  Role of clip markers placed by endoscopic ultrasonography in contouring gross tumor volume for thoracic esophageal squamous cell carcinoma: one prospective study.

Authors:  Yong Guan; Jing Wang; Fuliang Cao; Xi Chen; Yuwen Wang; Shengpeng Jiang; Daguang Zhang; Wencheng Zhang; Zhoubo Guo; Ping Wang; Qingsong Pang
Journal:  Ann Transl Med       Date:  2020-09

5.  Gradient-based delineation of the primary GTV on FLT PET in squamous cell cancer of the thoracic esophagus and impact on radiotherapy planning.

Authors:  Guifang Zhang; Dali Han; Changsheng Ma; Jie Lu; Tao Sun; Tonghai Liu; Jian Zhu; Jingwei Zhou; Yong Yin
Journal:  Radiat Oncol       Date:  2015-01-09       Impact factor: 3.481

6.  Prognostic Value of Volume-Based Positron Emission Tomography/Computed Tomography in Nasopharyngeal Carcinoma Patients after Comprehensive Therapy.

Authors:  Yueli Tian; Khamis Hassan Bakari; Shanshan Liao; Xiaotian Xia; Xun Sun; Chunxia Qin; Yongxue Zhang; Xiaoli Lan
Journal:  Contrast Media Mol Imaging       Date:  2018-02-21       Impact factor: 3.161

7.  Impact of hybrid FDG-PET/CT on gross tumor volume definition of cervical esophageal cancer: reducing interobserver variation.

Authors:  Ryo Toya; Tomohiko Matsuyama; Tetsuo Saito; Masanori Imuta; Shinya Shiraishi; Yoshiyuki Fukugawa; Ayumi Iyama; Takahiro Watakabe; Fumi Sakamoto; Noriko Tsuda; Yoshinobu Shimohigashi; Yudai Kai; Ryuji Murakami; Yasuyuki Yamashita; Natsuo Oya
Journal:  J Radiat Res       Date:  2019-05-01       Impact factor: 2.724

8.  The clinical application of 4D 18F-FDG PET/CT on gross tumor volume delineation for radiotherapy planning in esophageal squamous cell cancer.

Authors:  Yao-Ching Wang; Te-Chun Hsieh; Chun-Yen Yu; Kuo-Yang Yen; Shang-Wen Chen; Shih-Neng Yang; Chun-Ru Chien; Shih-Ming Hsu; Tinsu Pan; Chia-Hung Kao; Ji-An Liang
Journal:  J Radiat Res       Date:  2012-06-05       Impact factor: 2.724

Review 9.  The application of functional imaging techniques to personalise chemoradiotherapy in upper gastrointestinal malignancies.

Authors:  J M Wilson; M Partridge; M Hawkins
Journal:  Clin Oncol (R Coll Radiol)       Date:  2014-07-04       Impact factor: 4.126

10.  [F18] FDG-PET/CT for manual or semiautomated GTV delineation of the primary tumor for radiation therapy planning in patients with esophageal cancer: is it useful?

Authors:  Franziska Walter; Constanze Jell; Barbara Zollner; Claudia Andrae; Sabine Gerum; Harun Ilhan; Claus Belka; Maximilian Niyazi; Falk Roeder
Journal:  Strahlenther Onkol       Date:  2020-10-26       Impact factor: 3.621

  10 in total

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