scholarly journals EP-2046: Robust optimization (4D) IMPT strategies using full and empty bladder CT scans for cervical cancer

2018 ◽  
Vol 127 ◽  
pp. S1118-S1119
Author(s):  
C.L. Brouwer ◽  
W.P. Matysiak ◽  
P. De Boer ◽  
J.A. Langendijk ◽  
J.C. Beukema ◽  
...  
Keyword(s):  
Cervical Cancer ◽  
Robust Optimization ◽  
Ct Scans ◽  
Empty Bladder

scholarly journals Fully Automatic Treatment Planning for External-Beam Radiation Therapy of Locally Advanced Cervical Cancer: A Tool for Low-Resource Clinics

2019 ◽  
pp. 1-9
Author(s):  
Kelly Kisling ◽  
Lifei Zhang ◽  
Hannah Simonds ◽  
Nazia Fakie ◽  
Jinzhong Yang ◽  
...  
Keyword(s):  
United States ◽  
South Africa ◽  
Cervical Cancer ◽  
Treatment Planning ◽  
South African ◽  
The United States ◽  
Ct Scans ◽  
Low Resource ◽  
Fully Automatic ◽  
Automatic Treatment

Purpose The purpose of this study was to validate a fully automatic treatment planning system for conventional radiotherapy of cervical cancer. This system was developed to mitigate staff shortages in low-resource clinics. Methods In collaboration with hospitals in South Africa and the United States, we have developed the Radiation Planning Assistant (RPA), which includes algorithms for automating every step of planning: delineating the body contour, detecting the marked isocenter, designing the treatment-beam apertures, and optimizing the beam weights to minimize dose heterogeneity. First, we validated the RPA retrospectively on 150 planning computed tomography (CT) scans. We then tested it remotely on 14 planning CT scans at two South African hospitals. Finally, automatically planned treatment beams were clinically deployed at our institution. Results The automatically and manually delineated body contours agreed well (median mean surface distance, 0.6 mm; range, 0.4 to 1.9 mm). The automatically and manually detected marked isocenters agreed well (mean difference, 1.1 mm; range, 0.1 to 2.9 mm). In validating the automatically designed beam apertures, two physicians, one from our institution and one from a South African partner institution, rated 91% and 88% of plans acceptable for treatment, respectively. The use of automatically optimized beam weights reduced the maximum dose significantly (median, −1.9%; P < .001). Of the 14 plans from South Africa, 100% were rated clinically acceptable. Automatically planned treatment beams have been used for 24 patients with cervical cancer by physicians at our institution, with edits as needed, and its use is ongoing. Conclusion We found that fully automatic treatment planning is effective for cervical cancer radiotherapy and may provide a reliable option for low-resource clinics. Prospective studies are ongoing in the United States and are planned with partner clinics.

Prognostic value of tumor size assessed by ct scans for uterine cervical cancer treated with radiation therapy alone

1994 ◽  
Vol 30 ◽  
pp. 289 ◽  
Author(s):  
Takafumi Toita ◽  
Masao Nakano ◽  
Yoshikazu Takizawa ◽  
Hiroo Sueyama ◽  
Akira Kushi ◽  
...  
Keyword(s):  
Cervical Cancer ◽  
Radiation Therapy ◽  
Tumor Size ◽  
Prognostic Value ◽  
Uterine Cervical Cancer ◽  
Ct Scans

Quantification of intra-fraction changes during radiotherapy of cervical cancer assessed with pre- and post-fraction Cone Beam CT scans

2015 ◽  
Vol 117 (3) ◽  
pp. 536-541 ◽  
Author(s):  
Sabrina T. Heijkoop ◽  
Thomas R. Langerak ◽  
Sandra Quint ◽  
Jan Willem M. Mens ◽  
Andras G. Zolnay ◽  
...  
Keyword(s):  
Cervical Cancer ◽  
Cone Beam Ct ◽  
Ct Scans ◽  
Cone Beam

scholarly journals A Robust Optimization Algorithm for Image-Guided Cervical Cancer Brachytherapy

2019 ◽  
Vol 105 (1) ◽  
pp. E784-E785
Author(s):  
X. Wang ◽  
Q. Hou ◽  
P. Wang ◽  
J. Li ◽  
S. Kang ◽  
...  
Keyword(s):  
Cervical Cancer ◽  
Robust Optimization ◽  
Optimization Algorithm ◽  
Image Guided

scholarly journals Robust Optimization to Reduce Dose Delivery Uncertainty by Potential Applicator Displacements for a Cervix Brachytherapy

2020 ◽  
Author(s):  
Byungdu Jo ◽  
Kyeongyun Park ◽  
Kwang Hyeon Kim ◽  
Dongho Shin ◽  
Young Kyung Lim ◽  
...  
Keyword(s):  
Genetic Algorithm ◽  
Cervical Cancer ◽  
Robust Optimization ◽  
External Beam Radiation ◽  
Patient Specific ◽  
Target Coverage ◽  
Dose Delivery ◽  
Beam Radiation ◽  
Multi Objective ◽  
Multi Objective Genetic Algorithm

Abstract Background Applicator displacement during brachytherapy treatment for cervical cancer leads to a drastic change in dose distribution. Hence, applicator displacement uncertainty is of significant relevance within the distribution of dose prescription. To minimize applicator displacement from patient movement during cervical cancer brachytherapy treatment, a multi-objective genetic algorithm was combined with a median absolute deviation (MAD) constrained robust optimization concept. Materials and methods To evaluate the feasibility of the robust optimization algorithm on applicator displacements, the clinically applied treatment plans of six tandem and ring (T&R) applicator cases for cervical cancer were included. All patients underwent magnetic resonance imaging (MRI) after the placement of the T&R applicator. The method considered multiple random scenarios reflecting the uncertainties in the dose delivered. For simplicity, the uncertainties in this proof-of-concept study were limited to potential applicator displacements. This problem is optimized by MAD-constrained robust optimization using a patient-specific multi-objective genetic algorithm. The proposed approach is then compared against the nominal (manual) plan strategies. Results All generated plans fulfilled EMBRACE protocol guidelines for all targets and organs at risk (OAR). MAD-constrained robust optimization provided not only excellent target coverage but also minimized doses to OAR. The nominal and robust plan equivalent dose in 2 Gy fractions (EQD2) of D98 for high-risk clinical target volume (HR-CTV) and rectum were 88.59, 55.29, and 84.84, 54.09, respectively. Furthermore, each standard deviation of D98 for HR-CTV and rectum reduced from ±1.0177 to ±0.9085 and ±0.4927 to ±0.4052, respectively. Conclusions Definitive dwell times and positions by the use of robust planned external beam radiation therapy plus brachytherapy (EBRT-BT) boost for cervical cancer were well tolerated. Using this robust strategy, the generated plans showed an increase in target coverage and minimized applicator displacement impact uncertainty on dose delivery.

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