Literature DB >> 17079814

18F-FDG PET definition of gross tumor volume for radiotherapy of non-small cell lung cancer: is a single standardized uptake value threshold approach appropriate?

Kenneth J Biehl1, Feng-Ming Kong, Farrokh Dehdashti, Jian-Yue Jin, Sasa Mutic, Issam El Naqa, Barry A Siegel, Jeffrey D Bradley.   

Abstract

UNLABELLED: PET with (18)F-FDG has been used in radiation treatment planning for non-small cell lung cancer (NSCLC). Thresholds of 15%-50% the maximum standardized uptake value (SUV(max)) have been used for gross tumor volume (GTV) delineation by PET (PET(GTV)), with 40% being the most commonly used value. Recent studies indicated that 15%-20% may be more appropriate. The purposes of this study were to determine which threshold generates the best volumetric match to GTV delineation by CT (CT(GTV)) for peripheral NSCLC and to determine whether that threshold can be generalized to tumors of various sizes.
METHODS: Data for patients who had peripheral NSCLC with well-defined borders on CT and SUV(max) of greater than 2.5 were reviewed. PET/CT datasets were reviewed, and a volume of interest was determined to represent the GTV. The CT(GTV) was delineated by using standard lung windows and reviewed by a radiation oncologist. The PET(GTV) was delineated automatically by use of various percentages of the SUV(max). The PET(GTV)-to-CT(GTV) ratios were compared at various thresholds, and a ratio of 1 was considered the best match, or the optimal threshold.
RESULTS: Twenty peripheral NSCLCs with volumes easily defined on CT were evaluated. The SUV(max) (mean +/- SD) was 12 +/- 8, and the mean CT(GTV) was 198 cm(3) (97.5% confidence interval, 5-1,008). The SUV(max) were 16 +/- 5, 13 +/- 9, and 3.0 +/- 0.4 for tumors measuring greater than 5 cm, 3-5 cm, and less than 3 cm, respectively. The optimal thresholds (mean +/- SD) for the best match were 15% +/- 6% for tumors measuring greater than 5 cm, 24% +/- 9% for tumors measuring 3-5 cm, 42% +/- 2% for tumors measuring less than 3 cm, and 24% +/- 13% for all tumors. The PET(GTV) at the 40% and 20% thresholds underestimated the CT(GTV) for 16 of 20 and 14 of 20 lesions, respectively. The mean difference in the volumes (PET(GTV) minus CT(GTV) [PET(GTV) - CT(GTV)]) at the 20% threshold was 79 cm(3) (97.5% confidence interval, -922 to 178). The PET(GTV) at the 20% threshold overestimated the CT(GTV) for all 4 tumors measuring less than 3 cm and underestimated the CT(GTV) for all 6 tumors measuring greater than 5 cm. The CT(GTV) was inversely correlated with the PET(GTV) - CT(GTV) at the 20% threshold (R(2) = 0.90, P < 0.0001). The optimal threshold was inversely correlated with the CT(GTV) (R(2) = 0.79, P < 0.0001).
CONCLUSION: No single threshold delineating the PET(GTV) provides accurate volume definition, compared with that provided by the CT(GTV), for the majority of NSCLCs. The strong correlation of the optimal threshold with the CT(GTV) warrants further investigation.

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Year:  2006        PMID: 17079814

Source DB:  PubMed          Journal:  J Nucl Med        ISSN: 0161-5505            Impact factor:   10.057


  96 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.  Prediction of tumour necrosis fractions using metabolic and volumetric 18F-FDG PET/CT indices, after one course and at the completion of neoadjuvant chemotherapy, in children and young adults with osteosarcoma.

Authors:  Hyung Jun Im; Tae Sung Kim; Seog-Yun Park; Hye Sook Min; June Hyuk Kim; Hyun Guy Kang; Seung Eun Park; Mi Mi Kwon; Jong Hyung Yoon; Hyeon Jin Park; Seok-ki Kim; Byung-Kiu Park
Journal:  Eur J Nucl Med Mol Imaging       Date:  2011-09-28       Impact factor: 9.236

3.  The impact of 3D volume of interest definition on accuracy and precision of activity estimation in quantitative SPECT and planar processing methods.

Authors:  Bin He; Eric C Frey
Journal:  Phys Med Biol       Date:  2010-05-28       Impact factor: 3.609

4.  Comparative methods for PET image segmentation in pharyngolaryngeal squamous cell carcinoma.

Authors:  Habib Zaidi; Mehrsima Abdoli; Carolina Llina Fuentes; Issam M El Naqa
Journal:  Eur J Nucl Med Mol Imaging       Date:  2012-05       Impact factor: 9.236

5.  Quantitative assessment of diffusion-weighted MR imaging in patients with primary rectal cancer: correlation with FDG-PET/CT.

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6.  Broadening the scope of image-guided radiotherapy (IGRT).

Authors:  Carlo Greco; C Clifton Ling
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7.  Recommendations of the Spanish Societies of Radiation Oncology (SEOR), Nuclear Medicine & Molecular Imaging (SEMNiM), and Medical Physics (SEFM) on (18)F-FDG PET-CT for radiotherapy treatment planning.

Authors:  Begoña Caballero Perea; Antonio Cabrera Villegas; José Miguel Delgado Rodríguez; María José García Velloso; Ana María García Vicente; Carlos Huerga Cabrerizo; Rosa Morera López; Luis Alberto Pérez Romasanta; Moisés Sáez Beltrán
Journal:  Rep Pract Oncol Radiother       Date:  2012-11-17

Review 8.  Machine learning in quantitative PET: A review of attenuation correction and low-count image reconstruction methods.

Authors:  Tonghe Wang; Yang Lei; Yabo Fu; Walter J Curran; Tian Liu; Jonathon A Nye; Xiaofeng Yang
Journal:  Phys Med       Date:  2020-07-29       Impact factor: 2.685

9.  TNM staging with FDG-PET/CT in patients with primary head and neck cancer.

Authors:  Patrick Veit-Haibach; Christopher Luczak; Isabel Wanke; Markus Fischer; Thomas Egelhof; Thomas Beyer; Gerlinde Dahmen; Andreas Bockisch; Sandra Rosenbaum; Gerald Antoch
Journal:  Eur J Nucl Med Mol Imaging       Date:  2007-08-24       Impact factor: 9.236

10.  Motion-specific internal target volumes for FDG-avid mediastinal and hilar lymph nodes.

Authors:  James M Lamb; Clifford G Robinson; Jeffrey D Bradley; Daniel A Low
Journal:  Radiother Oncol       Date:  2013-09-14       Impact factor: 6.280

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