Inter-Modality Variation in Gross Tumor Volume Delineation in 18FDG-PET Guided IMRT Treatment Planning for Lung Cancer

2006 ◽  
Author(s):  
Yulin Song ◽  
Maria Chan ◽  
Chandra Burman ◽  
Donald Cann
Keyword(s):  
Lung Cancer ◽  
Treatment Planning ◽  
Gross Tumor Volume ◽  
Tumor Volume ◽  
18Fdg Pet ◽  
Volume Delineation

scholarly journals TC simulation versus TC/PET simulation for radiotherapy in lung cancer: volumes comparison in two cases

2013 ◽  
Vol 2 (1) ◽  
Author(s):  
P. Franzone ◽  
A. Muni ◽  
E. Cazzulo ◽  
L. Berretta ◽  
G. Pozzi ◽  
...  
Keyword(s):  
Lung Cancer ◽  
Early Diagnosis ◽  
Treatment Planning ◽  
Gross Tumor Volume ◽  
Tumor Volume ◽  
Target Volume ◽  
Radiotherapy Treatment Planning ◽  
Pulmonary Cancer ◽  
Radiotherapy Treatment

CT/PET is useful in early diagnosis, staging, follow-up and in radiotherapy treatment planning especially for tumors located in motion involved anatomic areas (chest and abdomen). We analysed the treatment planning for radiotherapy of two pulmonary cancer patients. A comparison was performed between GTV (Gross Tumor Volume) and PTV (Planning Target Volume) identified with CT images alone and GTV and PTV evaluated with CT/PET images. CT/PET imaging was demonstrated to significantly modify the target volume if compared with CT imaging: volumes were reduced by 32-49%.

NIMG-62. 68(GA)DOTATATE PET-BASED RADIATION CONTOURING CREATES SMALLER AND MORE PRECISE RADIATION VOLUMES FOR MENINGIOMA PATIENTS

2021 ◽  
Vol 23 (Supplement_6) ◽  
pp. vi143-vi143
Author(s):  
Haley Perlow ◽  
Michael Yang ◽  
Michael Siedow ◽  
Yevgeniya Gokun ◽  
Joseph McElroy ◽  
...  
Keyword(s):  
Treatment Planning ◽  
Pet Imaging ◽  
Gross Tumor Volume ◽  
Tumor Volume ◽  
Radiation Treatment ◽  
Progression Free Survival ◽  
Mri Imaging ◽  
Radiation Treatment Planning ◽  
Volume Delineation ◽  
The Mean

Abstract PURPOSE Radiation treatment planning for meningiomas conventionally involves MRI contrast enhanced images to define residual tumor. However, the gross tumor volume may be difficult to delineate for patients with a meningioma in the skull base, sagittal sinus, or post resection. Advanced PET imaging using 68(GA)DOTATATE PET, which has been shown to be more sensitive and specific than MRI imaging, can be used for target volume delineation in these circumstances. We hypothesize that 68(GA)DOTATATE PET scan-based treatment planning will lead to smaller radiation volumes and will detect additional areas of disease compared to standard MRI alone. METHODS Our data evaluated retrospective, deidentified, and blinded gross tumor volume (GTV) contour delineation with 7 CNS specialists (3 neuroradiologists, 4 CNS radiation oncologists) for 26 patients diagnosed with a meningioma who received both a 68(GA)DOTATATE PET and an MRI for radiation treatment planning. Both the MRI and the PET were non-sequentially contoured by each physician for each patient. RESULTS The mean MRI volume for each physician ranged from 24.14-35.52 ccs. The mean PET volume for each physician ranged from 10.59-20.54 ccs. The PET volumes were significantly smaller for 6 out of the 7 physicians. In addition, 7/26 (27%) patients had new non-adjacent areas contoured on PET by at least 6 of the 7 physicians that were not contoured by these physicians on the corresponding MRI. These new areas would not have been in the traditional MRI based volumes. CONCLUSION Our study supports that 68(GA)DOTATATE PET imaging can help radiation oncologist create smaller and more precise radiation treatment volumes. Utilization of 68(GA)DOTATATE PET may find undetected areas of disease which in turn can improve local control and progression free survival. 68(GA)DOTATATE PET guided treatment planning should be studied prospectively.

Influence of CT Window Techniques on Gross Tumor Volume Delineation of Lung Cancer

2011 ◽  
Vol 271-273 ◽  
pp. 973-977
Author(s):  
Juan Wang ◽  
Hui Qun Wu ◽  
Jian Guo Xia ◽  
Le Min Tang
Keyword(s):  
Lung Cancer ◽  
Gross Tumor Volume ◽  
Tumor Volume ◽  
Ct Images ◽  
Window Width ◽  
Volume Delineation ◽  
Window Level

To determine the variation in delineation of the gross tumor volume(GTV) of lung cancer on CT images with different window width(WW) and window level(WL).

Subjective Variability in Gross Tumor Volume Delineation of Lung Cancer and its Influence to Normal Tissue Complication Probability

2011 ◽  
Vol 271-273 ◽  
pp. 967-972
Author(s):  
Juan Wang ◽  
Jian Guo Xia ◽  
Le Min Tang
Keyword(s):  
Lung Cancer ◽  
Normal Tissue ◽  
Gross Tumor Volume ◽  
Tumor Volume ◽  
Normal Tissue Complication Probability ◽  
Radiation Oncologists ◽  
Volume Delineation

To compare the differences of the gross tumor volume(GTV) of lung cancer defined by radiologists and radiation oncologists and evaluate the influence of subjective variability to normal tissue complication probability(NTCP) of heart.

scholarly journals Interobserver variability in target volume delineation in definitive radiotherapy for thoracic esophageal cancer: a multi-center study from China

2021 ◽  
Vol 16 (1) ◽  
Author(s):  
Xiao Chang ◽  
Wei Deng ◽  
Xin Wang ◽  
Zongmei Zhou ◽  
Jun Yang ◽  
...  
Keyword(s):  
Esophageal Cancer ◽  
Gross Tumor Volume ◽  
Tumor Volume ◽  
Interobserver Variability ◽  
Target Volume ◽  
Thoracic Esophageal Cancer ◽  
Target Volume Delineation ◽  
Cancer Centers ◽  
Definitive Radiotherapy ◽  
Volume Delineation

Abstract Purpose To investigate the interobserver variability (IOV) in target volume delineation of definitive radiotherapy for thoracic esophageal cancer (TEC) among cancer centers in China, and ultimately improve contouring consistency as much as possible to lay the foundation for multi-center prospective studies. Methods Sixteen cancer centers throughout China participated in this study. In Phase 1, three suitable cases with upper, middle, and lower TEC were chosen, and participants were asked to contour a group of gross tumor volume (GTV-T), nodal gross tumor volume (GTV-N) and clinical target volume (CTV) for each case based on their routine experience. In Phase 2, the same clinicians were instructed to follow a contouring protocol to re-contour another group of target volume. The variation of the target volume was analyzed and quantified using dice similarity coefficient (DSC). Results Sixteen clinicians provided routine volumes, whereas ten provided both routine and protocol volumes for each case. The IOV of routine GTV-N was the most striking in all cases, with the smallest DSC of 0.37 (95% CI 0.32–0.42), followed by CTV, whereas GTV-T showed high consistency. After following the protocol, the smallest DSC of GTV-N was improved to 0.64 (95% CI 0.45–0.83, P = 0.005) but the DSC of GTV-T and CTV remained constant in most cases. Conclusion Variability in target volume delineation was observed, but it could be significantly reduced and controlled using mandatory interventions.

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