Literature DB >> 18568563

Impact of FDG-PET/CT fused imaging on tumor volume assessment of head-and-neck squamous cell carcinoma: intermethod and interobserver variations.

R Murakami1, H Uozumi, T Hirai, R Nishimura, S Katsuragawa, S Shiraishi, R Toya, K Tashiro, K Kawanaka, N Oya, S Tomiguchi, Y Yamashita.   

Abstract

BACKGROUND: Although gross tumor volume (GTV) at the primary site can predict local control of head-and-neck squamous cell carcinoma (SCC) in patients who are treated with organ-preservation therapy, GTV assessment does not eliminate substantial interobserver variation.
PURPOSE: To evaluate whether F-18-fluorodeoxyglucose positron emission tomography (FDG-PET)/computed tomography (CT) fused imaging provides additional information for GTV assessment.
MATERIAL AND METHODS: We obtained FDG-PET/CT fused images on 20 patients with head-and-neck SCC. All had undergone preoperative conventional workup, including contrast-enhanced CT and magnetic resonance imaging (MRI). The GTV of the primary tumors was designed by two independent observers who used routine clinical data. Observer A was a radiologist and observer B a radiation oncologist. GTV1 and GTV2 were designed without and with FDG-PET/CT, respectively. For geometric interobserver comparison, we calculated the concordance rate as the ratio of the intersection (AxB) of the GTVs to their union (AxB). Intermethod (GTV1 vs. GTV2) and interobserver (A vs. B) differences in the GTVs were assessed by Bland-Altman analysis and the Spearman rank-correlation test. The interobserver concordance rates for GTV1 and GTV2 were compared using a two-tailed paired-samples t test.
RESULTS: On FDG-PET/CT, all primary tumors were visualized. There was no systemic trend for a volume difference between GTV1 and GTV2. Although the 95% limits of agreement were wider for interobserver than intermethod differences, the 95% limits of interobserver agreement were narrower for GTV2 than GTV1. The mean interobserver concordance rate for GTV2 was higher than for GTV1 (54.5% vs. 39.1%, P=0.0002).
CONCLUSION: FDG-PET/CT is a useful modality for consistent GTV assessment, which should not be used as a single modality but rather to obtain supplemental information in patients with head-and-neck SCC.

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Year:  2008        PMID: 18568563     DOI: 10.1080/02841850802027034

Source DB:  PubMed          Journal:  Acta Radiol        ISSN: 0284-1851            Impact factor:   1.990


  9 in total

Review 1.  PET-guided delineation of radiation therapy treatment volumes: a survey of image segmentation techniques.

Authors:  Habib Zaidi; Issam El Naqa
Journal:  Eur J Nucl Med Mol Imaging       Date:  2010-03-25       Impact factor: 9.236

2.  Validation that metabolic tumor volume predicts outcome in head-and-neck cancer.

Authors:  Chad Tang; James D Murphy; Brian Khong; Trang H La; Christina Kong; Nancy J Fischbein; A Dimitrios Colevas; Andrei H Iagaru; Edward E Graves; Billy W Loo; Quynh-Thu Le
Journal:  Int J Radiat Oncol Biol Phys       Date:  2012-01-21       Impact factor: 7.038

3.  Interobserver and intermodality variability in GTV delineation on simulation CT, FDG-PET, and MR Images of Head and Neck Cancer.

Authors:  Carryn M Anderson; Wenqing Sun; John M Buatti; Joan E Maley; Bruno Policeni; Sarah L Mott; John E Bayouth
Journal:  Jacobs J Radiat Oncol       Date:  2014-09

Review 4.  Role of (18)F-FDG PET/CT in pre and post treatment evaluation in head and neck carcinoma.

Authors:  Bundhit Tantiwongkosi; Fang Yu; Anand Kanard; Frank R Miller
Journal:  World J Radiol       Date:  2014-05-28

5.  Comparison of rigid and deformable image registration for nasopharyngeal carcinoma radiotherapy planning with diagnostic position PET/CT.

Authors:  Yudai Kai; Hidetaka Arimura; Ryo Toya; Tetsuo Saito; Tomohiko Matsuyama; Yoshiyuki Fukugawa; Shinya Shiraishi; Yoshinobu Shimohigashi; Masato Maruyama; Natsuo Oya
Journal:  Jpn J Radiol       Date:  2019-12-13       Impact factor: 2.374

6.  Deep learning-based auto-delineation of gross tumour volumes and involved nodes in PET/CT images of head and neck cancer patients.

Authors:  Yngve Mardal Moe; Aurora Rosvoll Groendahl; Oliver Tomic; Einar Dale; Eirik Malinen; Cecilia Marie Futsaether
Journal:  Eur J Nucl Med Mol Imaging       Date:  2021-02-09       Impact factor: 9.236

7.  Comparison of measurement methods with a mixed effects procedure accounting for replicated evaluations (COM3PARE): method comparison algorithm implementation for head and neck IGRT positional verification.

Authors:  Anuradha Roy; Clifton D Fuller; David I Rosenthal; Charles R Thomas
Journal:  BMC Med Imaging       Date:  2015-08-28       Impact factor: 1.930

8.  Evaluation of tomotherapy MVCT image enhancement program for tumor volume delineation.

Authors:  Spencer Martin; George Rodrigues; Quan Chen; Simon Pavamani; Nancy Read; Belal Ahmad; Alex Hammond; Varagur Venkatesan; James Renaud; Slav Yartsev
Journal:  J Appl Clin Med Phys       Date:  2011-04-12       Impact factor: 2.102

9.  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

  9 in total

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