Threshold segmentation for PET target volume delineation in radiation treatment planning: The role of target-to-background ratio and target size

2008 ◽  
Vol 35 (4) ◽  
pp. 1207-1213 ◽  
Author(s):  
M. Brambilla ◽  
R. Matheoud ◽  
C. Secco ◽  
G. Loi ◽  
M. Krengli ◽  
...  
Keyword(s):  
Treatment Planning ◽  
Radiation Treatment ◽  
Target Volume ◽  
Target Size ◽  
Radiation Treatment Planning ◽  
Threshold Segmentation ◽  
Target Volume Delineation ◽  
Background Ratio ◽  
Volume Delineation

scholarly journals DedicatedMRIsimulation for cervical cancer radiation treatment planning: Assessing the impact on clinical target volume delineation

2018 ◽  
Vol 63 (2) ◽  
pp. 236-243 ◽  
Author(s):  
Jacqueline Veera ◽  
Karen Lim ◽  
Jason A Dowling ◽  
Chelsie O'Connor ◽  
Lois C Holloway ◽  
...  
Keyword(s):  
Cervical Cancer ◽  
Treatment Planning ◽  
Clinical Target Volume ◽  
Radiation Treatment ◽  
Target Volume ◽  
Radiation Treatment Planning ◽  
Target Volume Delineation ◽  
Volume Delineation ◽  
The Impact

Effect of window level on target volume delineation in treatment planning

2010 ◽  
Vol 68 (4-5) ◽  
pp. 602-604 ◽  
Author(s):  
Entesar Z. Dalah ◽  
A. Nisbet ◽  
D. Bradley
Keyword(s):  
Treatment Planning ◽  
Target Volume ◽  
Target Volume Delineation ◽  
Volume Delineation ◽  
Window Level

Role of CT scan in radiation treatment planning for patients with breast cancer

1977 ◽  
Vol 2 ◽  
pp. 148-149 ◽  
Author(s):  
J.E. Munzenrider ◽  
I. Tchakarova ◽  
M. Castro ◽  
B. Carter
Keyword(s):  
Breast Cancer ◽  
Ct Scan ◽  
Treatment Planning ◽  
Radiation Treatment ◽  
Radiation Treatment Planning

FDG-PET/CT imaging for staging and definition of tumor volumes in radiation treatment planning in non-small cell lung cancer

2009 ◽  
Vol 27 (15_suppl) ◽  
pp. 7574-7574 ◽  
Author(s):  
Y. Xu ◽  
S. Ma ◽  
D. Yu ◽  
J. Wang ◽  
L. Zhang ◽  
...  
Keyword(s):  
Treatment Planning ◽  
Fdg Pet ◽  
Radiation Treatment ◽  
Target Volume ◽  
Ct Images ◽  
Planning System ◽  
Treatment Planning System ◽  
Volume Delineation ◽  
Pet Ct ◽  
Fdg Pet Ct

7574 Background: 18F-fluorodeoxyglucose (FDG)-positron emission tomography (PET) /computed tomography (CT) has a potential improvement for staging and radiation treatment (RT) planning of various tumor sites. But from a clinical standpoint, the open questions are essentially the following: to what extent does PET/CT change the target volume? Can PET/CT reduce inter-observer variability in target volume delineation? We analyzed the use of FDG-PET/ CT images for staging and evaluated the impact of FDG- PET/CT on the radiotherapy volume delineation compared with CT in patients with non-small cell lung cancer (NSCLC) candidates for radiotherapy. Intraobserver variation in delineating tumor volumes was also observed. Methods: Twenty-three patients with stage I-III NSCLC were enrolled in this pilot study and were treated with fractionated RT based therapy with or without chemotherapy. FDG-PET/CT scans were acquired within 2 weeks prior to RT. PET and CT data sets were sent to the treatment planning system Pinnacle through compact disc. The CT and PET images were subsequently fused by means of a dedicated radiation treatment planning system. Gross Tumor Volume (GTV) was contoured by four radiation oncologists respectively on CT (CT-GTV) and PET/CT images (PET/CT-GTV). The resulting volumes were analyzed and compared. Results: For the first phase, two radiation oncologists outlined together the contours achieving a final consensus. Based on PET/CT, changes in TNM categories occurred in 8/23 cases (35%). Radiation targeting with fused FDG-PET and CT images resulted in alterations in radiation therapy planning in 12/20 patients (60%) by comparison with CT targeting. The most prominent changes in GTV have been observed in cases with atelectasis. For the second phase was four intraobserver variation in delineating tumor volumes. The mean ratio of largest to smallest CT-based GTV was 2.31 (range 1.01–5.96). The addition of the PET data reduced the mean ratio to 1.46 (range 1.12–2.27). Conclusions: PET/CT fusion images could have a potential impact on both tumor staging and treatment planning. Implementing matched PET/CT reduced observer variation in delineating tumor volumes significantly with respect to CT only. [Table: see text]

Implementation and efficacy of a large-scale radiation oncology case-based peer-review quality program across a multinational cancer network.

2019 ◽  
Vol 37 (27_suppl) ◽  
pp. 1-1
Author(s):  
Ethan B. Ludmir ◽  
Karen E. Hoffman ◽  
Anuja Jhingran ◽  
Mee-Chung Puscilla Ip ◽  
Seth D. Frey ◽  
...  
Keyword(s):  
Peer Review ◽  
Radiation Oncology ◽  
Large Scale ◽  
Radiation Treatment ◽  
Target Volume ◽  
National Standards ◽  
Case Volume ◽  
Target Volume Delineation ◽  
Volume Delineation ◽  
Cancer Network

1 Background: With rapid community expansion of academic cancer centers, ensuring high-quality delivery of care across all affiliated network sites is critical. Here we report the results of a radiation oncology peer-review system implemented across a large multinational cancer network. Methods: Weekly radiation oncology peer-review conferences were held between network centers and the main campus of a major cancer system; results of standardized peer-review for each case were recorded. Peer-review resulted in each case being scored as concordant or nonconcordant on initial review; nonconcordance was based on institutional guidelines, national standards, and/or expert opinion. Results: Between 2014 and 2018, 28,730 patient radiation treatment plans underwent peer-review at 10 network centers. The peer-review case volume increased over this study period, from 1,420 cases in 2014 to 9,112 in 2018, concomitant with network expansion. Examining cases reviewed in 2018 (N = 9,112), the most-commonly reviewed cases by disease site were breast (28.9%), head and neck (HN; 13.9%), and lung (12.6%). Of all cases in 2018, 452 (5.0%) were deemed nonconcordant. Higher nonconcordance rates were noted for HN cases (14.0%), and lower rates for lung cases (2.3%; p < 0.001). Of nonconcordant HN cases, the majority (69.5%) were deemed nonconcordant based on target volume delineation. Of nonconcordant breast cases, most (67.1%) were nonconcordant based on radiation field design. For centers added to the network during the study period, we observed a significant decrease in the nonconcordance rate over time after joining the network (average annual decrease of 5.4% in nonconcordant cases; p < 0.001). Conclusions: These data demonstrate the feasibility and efficacy of a large-scale multinational cancer network radiation oncology weekly peer-review program. Nonconcordance rates were highest for HN cases, primarily due to target volume delineation. With improved nonconcordance rates for newly-added network centers, these results offer the promise of improving the quality of radiotherapy delivery across an extensive cancer network with a major academic center as the nucleus.

Role of bipedal lymphangiogram in radiation treatment planning for cervix cancer

1993 ◽  
Vol 27 (4) ◽  
pp. 959-962 ◽  
Author(s):  
Susan C. Pendlebury ◽  
Stephen Cahill ◽  
Alex J. Crandon ◽  
Colin A. Bull
Keyword(s):  
Treatment Planning ◽  
Radiation Treatment ◽  
Cervix Cancer ◽  
Radiation Treatment Planning

The Role of FDG-PET/CT in Cervical Cancer: Diagnosis, Staging, Radiation Treatment Planning and Follow-Up

PET Clinics ◽  
2010 ◽  
Vol 5 (4) ◽  
pp. 435-446 ◽  
Author(s):  
Elesyia D. Haynes-Outlaw ◽  
Perry W. Grigsby
Keyword(s):  
Cervical Cancer ◽  
Treatment Planning ◽  
Cancer Diagnosis ◽  
Fdg Pet ◽  
Radiation Treatment ◽  
Radiation Treatment Planning ◽  
Pet Ct ◽  
Fdg Pet Ct

scholarly journals Radiation Treatment Planning Evaluation by Internal Target Volume Settings

2015 ◽  
Vol 15 (8) ◽  
pp. 416-423
Author(s):  
Ho-Chun Park ◽  
Jae-Bok Han ◽  
Nam-Gil Choi
Keyword(s):  
Treatment Planning ◽  
Radiation Treatment ◽  
Target Volume ◽  
Radiation Treatment Planning ◽  
Internal Target ◽  
Internal Target Volume

SU-C-WAB-01: Computerized Production of Statistical Clinical Target Volume Models in Prostate Cancer Radiation Treatment Planning

2013 ◽  
Vol 40 (6Part2) ◽  
pp. 89-89 ◽  
Author(s):  
N matsushita ◽  
H Arimura ◽  
K Nakamura ◽  
Y Kagami ◽  
Y Shioyama ◽  
...  
Keyword(s):  
Prostate Cancer ◽  
Treatment Planning ◽  
Clinical Target Volume ◽  
Radiation Treatment ◽  
Target Volume ◽  
Radiation Treatment Planning ◽  
Volume Models
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