Regarding Davis et al.: Assessment of 18F PET signals for automatic target volume definition in radiotherapy treatment planning

2007 ◽  
Vol 83 (1) ◽  
pp. 102-103 ◽  
Author(s):  
Aswin L. Hoffmann ◽  
Jorn A. van Dalen ◽  
John Lee ◽  
Vincent Grégoire ◽  
Wim J.G. Oyen ◽  
...  
Keyword(s):  
Treatment Planning ◽  
Target Volume ◽  
Radiotherapy Treatment Planning ◽  
Target Volume Definition ◽  
Radiotherapy Treatment

Magnetic resonance imaging in radiotherapy treatment target volumes definition for brain tumours: a systematic review and meta-analysis

2017 ◽  
Vol 17 (3) ◽  
pp. 337-346
Author(s):  
Auwal Abubakar ◽  
Adamu D. Bojude ◽  
Aminu U. Usman ◽  
Idris Garba ◽  
Abasiama D. Obotiba ◽  
...  
Keyword(s):  
Magnetic Resonance Imaging ◽  
Magnetic Resonance ◽  
Treatment Planning ◽  
Brain Tumours ◽  
Meta Analysis ◽  
Target Volume ◽  
Resonance Imaging ◽  
Radiotherapy Treatment Planning ◽  
Target Volume Definition ◽  
Radiotherapy Treatment

AbstractPurposeThe aim of this study is to establish clinical evidence regarding the use of magnetic resonance imaging (MRI) in target volume definition for radiotherapy treatment planning of brain tumours.MethodsPrimary studies were systematically retrieved from six electronic databases and other sources. Studies included were only those that quantitatively compared computed tomography (CT) and MRI in target volume definition for radiotherapy of brain tumours. Study characteristics and quality were assessed and the data were extracted from eligible studies. Effect estimates for each study was computed as mean percentage difference based on individual patient data where available. The included studies were then combined in meta-analysis using Review Manager (RevMan) software version 5.0.ResultFive studies with a total number of 72 patients were included in this review. The quality of the studies was rated strong. The percentages mean differences of the studies were 7·47, 11·36, 30·70, 41·69 and −24·6% using CT as the baseline. The result of statistical analysis showed small-to-moderate heterogeneity; τ2=36·8; χ2=6·23; df=4 (p=0·18); I2=36%. The overall effect estimate was −1·85 [95% confidence interval (CI); −7·24, 10·94], Z=0·40 (p=0·069>0·5).ConclusionBrain tumour volumes measured using MRI-based method for radiotherapy treatment planning were larger compared with CT defined volumes but the difference lacks statistical significance.

Assessment of 18F PET signals for automatic target volume definition in radiotherapy treatment planning

2006 ◽  
Vol 80 (1) ◽  
pp. 43-50 ◽  
Author(s):  
J. Bernard Davis ◽  
Beatrice Reiner ◽  
Marius Huser ◽  
Cyrill Burger ◽  
Gábor Székely ◽  
...  
Keyword(s):  
Treatment Planning ◽  
Target Volume ◽  
Radiotherapy Treatment Planning ◽  
Target Volume Definition ◽  
Radiotherapy Treatment

PO-0787 ANALYSIS OF TARGET VOLUME DEFINITION USING CT, MRI AND FDG-PET IN RADIOTHERAPY TREATMENT PLANNING OF ANAL CANCER

2012 ◽  
Vol 103 ◽  
pp. S305
Author(s):  
E. Serup-Hansen ◽  
H. Westergreen Hendel ◽  
H. Hjorth Johannesen ◽  
W. Ottosson ◽  
B. Kristensen ◽  
...  
Keyword(s):  
Treatment Planning ◽  
Anal Cancer ◽  
Fdg Pet ◽  
Target Volume ◽  
Radiotherapy Treatment Planning ◽  
Target Volume Definition ◽  
Radiotherapy Treatment

scholarly journals Conventional 3D staging PET/CT in CT simulation for lung cancer: impact of rigid and deformable target volume alignments for radiotherapy treatment planning

2011 ◽  
Vol 84 (1006) ◽  
pp. 919-929 ◽  
Author(s):  
G G Hanna ◽  
J R Van Sörnsen De Koste ◽  
K J Carson ◽  
J M O'Sullivan ◽  
A R Hounsell ◽  
...  
Keyword(s):  
Lung Cancer ◽  
Treatment Planning ◽  
Target Volume ◽  
Radiotherapy Treatment Planning ◽  
Pet Ct ◽  
Ct Simulation ◽  
Radiotherapy Treatment

Biological target volume segmentation for radiotherapy treatment planning

2016 ◽  
Vol 32 ◽  
pp. 64
Author(s):  
A. Stefano ◽  
S. Vitabile ◽  
G. Russo ◽  
D. D'Urso ◽  
M. Ippolito ◽  
...  
Keyword(s):  
Treatment Planning ◽  
Target Volume ◽  
Radiotherapy Treatment Planning ◽  
Volume Segmentation ◽  
Biological Target Volume ◽  
Biological Target ◽  
Radiotherapy Treatment

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%.

scholarly journals Radiotherapy treatment planning: Benefits of CT-MR image registration and fusion in tumor volume delineation

2013 ◽  
Vol 70 (8) ◽  
pp. 735-739 ◽  
Author(s):  
Igor Djan ◽  
Borislava Petrovic ◽  
Marko Erak ◽  
Ivan Nikolic ◽  
Silvija Lucic
Keyword(s):  
Image Fusion ◽  
Treatment Planning ◽  
Tumor Volume ◽  
Imaging Techniques ◽  
Target Volume ◽  
Radiotherapy Treatment Planning ◽  
Image Study ◽  
Volume Delineation ◽  
Radiotherapy Treatment ◽  
Mri Image

Background/Aim. Development of imaging techniques, computed tomography (CT), magnetic resonance imaging (MRI), and positron emission tomography (PET), made great impact on radiotherapy treatment planning by improving the localization of target volumes. Improved localization allows better local control of tumor volumes, but also minimizes geographical misses. Mutual information is obtained by registration and fusion of images achieved manually or automatically. The aim of this study was to validate the CT-MRI image fusion method and compare delineation obtained by CT versus CT-MRI image fusion. Methods. The image fusion software (XIO CMS 4.50.0) was applied to delineate 16 patients. The patients were scanned on CT and MRI in the treatment position within an immobilization device before the initial treatment. The gross tumor volume (GTV) and clinical target volume (CTV) were delineated on CT alone and on CT+MRI images consecutively and image fusion was obtained. Results. Image fusion showed that CTV delineated on a CT image study set is mainly inadequate for treatment planning, in comparison with CTV delineated on CT-MRI fused image study set. Fusion of different modalities enables the most accurate target volume delineation. Conclusion. This study shows that registration and image fusion allows precise target localization in terms of GTV and CTV and local disease control.

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