Comparison of Gross Tumor Volume (GTV) determined by 18F-FDG PET/CT and MRI and paraortic limphadenectomy in radiotherapy planning in cervical cancer

2013 ◽  
Vol 18 ◽  
pp. S228
Author(s):  
S. Córdoba Largo ◽  
J. Corona Sánchez ◽  
M. Vázquez Masedo ◽  
P. Alcántara Carrió ◽  
A. Doval González ◽  
...  
2013 ◽  
Vol 18 ◽  
pp. S214
Author(s):  
J. Corona Sánchez ◽  
S. Córdoba ◽  
G. Salazar ◽  
A. Doval ◽  
M. Vázquez ◽  
...  

2013 ◽  
Vol 130 (3) ◽  
pp. 446-451 ◽  
Author(s):  
Hyun Hoon Chung ◽  
Inki Lee ◽  
Hee Seung Kim ◽  
Jae Weon Kim ◽  
Noh-Hyun Park ◽  
...  

2018 ◽  
Vol 36 (3) ◽  
pp. 223
Author(s):  
Keeratikarn Boonyawan ◽  
Sasipilai Naivikul ◽  
Putipun Puataweepong ◽  
Wichana Chamroonrat ◽  
Thiti Swangsilpa ◽  
...  

Objective: The correlation between 18F-fluorodexyglucose (18F-FDG) positron emission tomography/computed tomography (PET/CT) and four-dimensional computed tomography (4DCT) based-tumor volumes is unclear. This prospective study was conducted to determine the optimal threshold of PET/CT for gross tumor volume (GTV) delineation using 4DCT as the standard reference for locally advanced lung cancer patients.Material and Methods: Ten patients with histologically proven primary lung cancer who underwent radiotherapy fromJune 2017 to March 2018 in Ramathibodi Hospital were enrolled in the study. The 4DCT simulation and 18F-FDG PET/CT simulation were performed on the same position and same date. Eight standard uptake value (SUV) thresholds of SUV 1.5.0-2.0 and 15.0-35.0% of maximum SUV were selected for contouring in order to be compared with 4DCT based tumor volumes. The comparison methods used were the mean percentage volume change, dice similarity coefficient (DSC), and 3D-centroid shift of the targets between 18F-FDG PET/CT-based gross tumor volume (GTVPET) and internal gross tumor volume (IGTV) from 4DCT.Results: The largest and smallest volume of primary tumors were 422.6 cm3 and 5.9 cm3. GTVPET contoured using SUV 1.5 (GTVPET1.5) approximated closely to IGTV in all the parameters, including volume change, DSC, and 3D-centroid shift. The best median percentage volume change, median DSC, and median centroid shift between IGTV and GTVPET1.5 were 5.55, 0.745 and 0.37, respectively.Conclusion: GTVPET contoured by 18F-FDG PET at SUV1.5 corresponded most closely to the IGTV in all parameters. Further study with a larger sample size and clinical outcome analysis is needed.


PLoS ONE ◽  
2015 ◽  
Vol 10 (7) ◽  
pp. e0131801 ◽  
Author(s):  
Jun Jiang ◽  
Hubing Wu ◽  
Meiyan Huang ◽  
Yao Wu ◽  
Quanshi Wang ◽  
...  

2020 ◽  
pp. 028418512094304
Author(s):  
Lisa A Min ◽  
Leanne LGC Ackermans ◽  
Marlies E Nowee ◽  
Joost JW van Griethuysen ◽  
Sander Roberti ◽  
...  

Background Early prediction of response to concurrent chemoradiotherapy (cCRT) could aid to further optimize treatment regimens for locally advanced cervical cancer (LACC) in the future. Purpose To explore whether quantitative parameters from baseline (pre-therapy) magnetic resonance imaging (MRI) and FDG-PET/computed tomography (CT) have potential as predictors of early response to cCRT. Material and Methods Forty-six patients with LACC undergoing cCRT after staging with FDG-PET/CT and MRI were retrospectively analyzed. Primary tumor volumes were delineated on FDG-PET/CT, T2-weighted (T2W)-MRI and diffusion-weighted MRI (DWI) to extract the following quantitative parameters: T2W volume; T2W signalmean; DWI volume; ADCmean; ADCSD; MTV42%; and SUVmax. Outcome was the early treatment response, defined as the residual tumor volume on MRI 3–4 weeks after start of external beam radiotherapy with chemotherapy (before the start of brachytherapy): patients with a residual tumor volume <10 cm3 were classified as early responders. Imaging parameters were analyzed together with FIGO stage to assess their performance to predict early response, using multivariable logistic regression analysis with bi-directional variable selection. Leave-one-out cross-validation with bootstrapping was used to simulate performance in a new, independent dataset. Results T2W volume (OR 0.94, P = 0.003) and SUVmax (OR 1.15, P = 0.18) were identified as independent predictors in multivariable analysis, rendering a model with an AUC of 0.82 in the original dataset, and AUC of 0.68 (95% CI 0.41–0.81) from cross-validation. Conclusion Although the predictive performance achieved in this small exploratory dataset was limited, these preliminary data suggest that parameters from baseline MRI and FDG-PET/CT (in particular pre-therapy tumor volume) may contribute to prediction of early response to cCRT in cervical cancer.


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