| Literature DB >> 22666581 |
Katsuyuki Shirai1, Akiko Nakagawa, Takanori Abe, Masahiro Kawahara, Jun-Ichi Saitoh, Tatsuya Ohno, Takashi Nakano.
Abstract
Radiotherapy plays an important role in the treatment for thoracic cancers. Accurate diagnosis is essential to correctly perform curative radiotherapy. Tumor delineation is also important to prevent geographic misses in radiotherapy planning. Currently, planning is based on computed tomography (CT) imaging when radiation oncologists manually contour the tumor, and this practice often induces interobserver variability. F-18 fluorodeoxyglucose positron emission tomography (FDG-PET) has been reported to enable accurate staging and detect tumor extension in several thoracic cancers, such as lung cancer and esophageal cancer. FDG-PET imaging has many potential advantages in radiotherapy planning for these cancers, because it can add biological information to conventional anatomical images and decrease the inter-observer variability. FDG-PET improves radiotherapy volume and enables dose escalation without causing severe side effects, especially in lung cancer patients. The main advantage of FDG-PET for esophageal cancer patients is the detection of unrecognized lymph node or distal metastases. However, automatic delineation by FDG-PET is still controversial in these tumors, despite the initial expectations. We will review the role of FDG-PET in radiotherapy for thoracic cancers, including lung cancer and esophageal cancer.Entities:
Year: 2012 PMID: 22666581 PMCID: PMC3361167 DOI: 10.1155/2012/609545
Source DB: PubMed Journal: Int J Mol Imaging ISSN: 2090-1720
Target volume delineation in NSCLC.
| Author | Year | Patients | Methods of delineation | Conclusion |
|---|---|---|---|---|
| Nestle et al. [ | 2005 | 25 | Visual 40% of SUV max ≧ 2.5 SUV Phantom algorithm | Visual, SUV of 2.5, and phantom algorithm were associated with GTV delineated by CT. |
| Biehl et al. [ | 2006 | 20 | 20%–40% of SUV max | No single threshold delineating PET provides accurate volume definition, compared with that provided by CT. |
| Hong et al. [ | 2007 | 19 | SUV ≧ 2.5 40% of SUV max | This study recommended using SUV ≧ 2.5 for radiotherapy planning in non-small-cell lung cancer. |
| van Baardwijk [ | 2007 | 23 | Source-to-background ratio | Source-to-background ratio-based autodelineation was strongly correlated microscopic diameter of primary tumor (correlation coefficient = 0.90). |
| Visser et al. [ | 2008 | 13 | 50% of SUV max 50% of glucose metabolic rate | Tumor volumes from glucose metabolic rate were significantly smaller than SUV-based volumes. |
| Rodríguez et al. [ | 2010 | 40 | 40% of SUV max | Lymph nodes could be delineated in accordance with tumor uptake when lymph nodes/tumor SUV max ratio was ≤25%. |
| Devic et al. [ | 2010 | 31 | Visual 15%, 40% of SUV max | Not dependent on the thresholding method used. |
| Vinod et al. [ | 2010 | 5 | Visual | Effects of FDG-PET on normal tissue complication and tumor control cannot be predicted. |
| Wanet et al. [ | 2011 | 10 | Gradient-based method Source-to-background ratio 40%, 50% of SUV max | Gradient-based method best estimated true tumor volume. |
| Warner-Wasik et al. [ | 2011 | Phantom | Gradient-based method | Gradient-based method was most accurate and consistent technique for target volume contouring. |
| Visual ≧2.5 SUV | ||||
| Source-to-background ratio | ||||
| Fleckenstein et al. [ | 2011 | 32 | Source-to-background ratio | FDG-PET confined target volume definition was associated with low risk of isolated nodal recurrences. |
| Lin et al. [ | 2011 | 37 | Visual | There was correlation between GTV based on FDG-PET and excised surgical specimen. |