Volumetric modulated arc therapy with robust optimization for larynx cancer

Miura, Hideharu; Doi, Yoshiko; Ozawa, Shogo; Nakao, Minoru; Ohnishi, Keiichi; Kenjo, Masahiko; Nagata, Yasushi

doi:10.1016/j.ejmp.2019.01.012

Cited by 6 publications

(11 citation statements)

References 31 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…However, that study was performed based on the PTV concept that has been quite controversial in both photon and proton radiotherapy [9,10]. As a solution based on CTV, robust optimization has been proven to protect normal tissue in various tumor sites [10][11][12][13][14]. In our study, the robust optimization technique was introduced for both the The same patient setup uncertainties were applied in robust optimization for both SRO and TRO.…”

Section: Discussionmentioning

confidence: 99%

“…The total scores are assigned 100 points, with the specific allocation is as follows: S T metrics [1][2][3][4] with total points of 24 are used to calculate the points of CTV dose coverage [V46.8Gy (%), V50 Gy (%)], conformity number (CN) and homogeneity index (HI). The rest 76 points are S O metrics [5][6][7][8][9][10][11][12][13][14][15][16][17][18][19][20] are assigned to specific dosevolume parameters of five OARs, where rectum, bowel, bladder, sigmoid and femoral heads shared 23, 22, 15, 9 and 7 points, respectively. The details of score points are shown in Table 2.…”

Section: Quick Plan Reviewmentioning

confidence: 99%

“…However, this fundamental assumption does not always works, especially for IMPT, in which anatomical misalignment can lead to significant dose distortion at the edges of the PTV and even inside the planning target [8,9]. Recently, a novel strategy to deal with the uncertainties is to develop a robust optimization algorithm instead of using PTV-based optimization, which has been reported to be effective in compensating for setup and range uncertainties in both proton and photon radiotherapy [10][11][12][13][14].…”

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Evaluation of plan quality and robustness of IMPT and helical IMRT for cervical cancer

Shang

Wang

et al. 2020

Radiat Oncol

View full text Add to dashboard Cite

Background: Both plan quality and robustness were investigated through comparing some dosimetric metrics between intensity modulated proton therapy (IMPT) and helical tomotherapy based intensity modulated radiotherapy (IMRT) for cervical cancer. Methods: Both a spot-scanning robust (SRO) IMPT plan and a helical tomotherapy robust (TRO) IMRT plan were generated for each of 18 patients. In order to evaluate the quality of nominal plans without dose perturbations, planning scores (PS) on clinical target volume (CTV) and five organs at risk (OARs) based on clinical experience, and normal tissue complication probabilities (NTCP) of rectum and sigmoid were calculated based on Lyman-Kutcher-Burman (LKB) model. Dose volume histogram bands width (DVHBW) were calculated in 28 perturbed scenarios to evaluate plan robustness. Results: Compared with TRO, the average scores of SRO nominal plans were higher in target metrics [V 46.8Gy , V 50Gy , Conformity and Homogeneity](16.5 vs. 15.1), and in OARs metrics (60.9 vs. 53.3), including bladder [V 35 ,V 45 , D mean , D 2cc ], rectum [V 40 ,V 45 ,D 2cc ,D max ], bowel [V 35 ,V 40 ,V 45 , D max ], sigmoid [V 40 ,D max ] and femoral heads [V 30 ,D max ]. Meanwhile, NTCP calculation showed that the toxicities of rectum and sigmoid in SRO were lower than those in TRO (rectum: 2.8% vs. 4.8%, p < 0.05; sigmoid: 5.2% vs. 5.7%, p < 0.05). DVHBW in target coverage for the SRO plan was smaller than that for the TRO plan (0.6% vs. 2.1%), which means that the SRO plan generated a more robust plan in target. Conclusion: Better CTV coverage and OAR Sparing were obtained in SRO nominal plan. Based on NTCP calculation, SRO was expected to allow a small reduction in rectal toxicity. Furthermore, SRO generated a more robust plan in CTV target coverage.

show abstract

Section: Discussionmentioning

confidence: 99%

Section: Quick Plan Reviewmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Evaluation of plan quality and robustness of IMPT and helical IMRT for cervical cancer

Shang

Wang

et al. 2020

Radiat Oncol

View full text Add to dashboard Cite

show abstract

“…In order to reduce the errors caused by patients' respiratory movement in actual treatment, the Robust optimization technology was added to radiotherapy plan, and clinical studies had shown that it could not only improve the coverage rate of the clinical target area, but also reduce the dose of OARs.The Mahmoudzadeh team's experiment proved that the introduction of Robust optimization could potentially reduce the need for deep inspiration breath-hold technology, allowing patients to reduce the exposure dose to heart with breathe freely, and improve the dose coverage of tumor area 21 23 . This was slightly different from actual exposure dose of OARs dose parameters in this study, the exposure dose of ipsilateral lung V5 was higher than that without Robust optimization, because the improved CTV coverage in our study was at the expense of a low dose bath to healthy tissue, thereby delivering a higher volume of low dose to the ipsilateral lungs than that without Robust optimization plans.…”

Section: Discussionmentioning

confidence: 99%

WITHDRAWN: The Dosimetric Advantages of Robust Optimization Combined With Flatten Filter Free Mode in Left Breast Cancer

Luo¹,

Shan²,

Shao³

et al. 2020

Preprint

View full text Add to dashboard Cite

Background and purposesTo explore the advantages of Robust optimization in dosimetry under flatten filter free(FFF) Mode after left breast cancer surgery.Materials and methods21 patients with left breast cancer after surgery were randomly selected from 2019 to 2020. The planned target volume (PTV) dose was prescribed 50Gy /25times and B. With or without Robust optimization were designed on the RayStation planning system with Volume rotary intensity-modulated radiotherapy technology based on the FFF Mode. By moving the center point of the field to simulated the movement of target area of the internal chest wall (0.50cm) caused by Respiratory movement, dosimetry characteristics. Using spss 23.0 to analyse the datum.Resultswhen the chest wall target moved outward, the PTV target area D98, D95, D2, CI and HI with Robust optimization were better than those without Robust, and the coverage rate of PTV-CHESTV50 was significantly higher than that without Robust optimization (P=0.000060), which was 15.39% higher than that without Robust optimization. CTVV50 coverage with Robust optimization was higher than that without Robust optimization, with an increase of 14.48%. In terms of endangering organ parameters, the average spinal cord dose of the plan with Robust optimization was 13.19% lower than that of the plan without Robust optimization, and the lung V5 of the plan without Robust optimization was slightly lower than that of the plan with Robust optimization, which was 1.80% lower than that of the plan without Robust optimization. There was no significant difference in machine execution efficiency between the two groups (P > 0.05).ConclusionsThe Robust optimization could be adopted in the development of postoperative left breast cancer radiotherapy plan, which ensures that the target dose coverage and the dose limit of organ-at-risk still meet the clinical requirements under condition of chest wall displacement caused by respiratory movement.

show abstract

“…[9][10][11][12][13] Moreover, the shorter delivery time of VMAT technique may result in better local disease control due to its biological advantages for cancer cell killing, the fewer delivered MUs could reduce the undesirable irradiation of healthy tissues and lower the probability of suffering from secondary cancer. [14][15][16][17][18][19] However, the approach of manual optimization parameter tuning and re-optimization is inefficient and very timeconsuming. So the prescriptive and data-driven technique has accumulated popularity in that can help automate the treatment planning process.…”

Section: Introductionmentioning

confidence: 99%

Comprehensive Comparison of Progressive Optimization Algorithm Based Automatic Plan and Manually Planned Treatment Technique for Cervical-Thoracic Esophageal Cancers

Zhou

Xiang

Xiong

et al. 2020

Technol Cancer Res Treat

View full text Add to dashboard Cite

Purpose: The purpose of the present study was first to apply the progressive optimization algorithm based automatic volumetric modulated arc therapy (POA-VMAT) technology to accelerate and improve the radiotherapy of cervicothoracic esophageal cancer (CTEC). We comprehensive analyze the feasibility, normal tissue complication probability (NTCP) and dosimetric results of POA-VMAT, manual based VMAT and step-shoot intensity-modulated radiation therapy (IMRT) plans in the treatment of CTEC. Methods: Sixty patients with CTEC with or without concomitant chemotherapy at our institution between 2017 and 2019 were retrospectively identified. The manual 7field-IMRT (7f-IMRT), Single-arc-VMAT and Double-arc-VMAT (Single-Arc/Double-Arc) plans were generated in all cases. The POA-VMAT was designed using the automatic dual-arc VMAT technology of Pinnacle3 9.10 planning system based on progressive optimization algorithm. Specially, it includes the selection of treatment techniques, the running of automated planning scripts, and the evaluation of the final radiotherapy regimen. Subsequently, quantitative evaluation of plans was performed by means of standard dose–volume histograms, homogeneity index (HI) and conformity index (CI). Results: Target dose conformity of the 7f-IMRT plan was inferior to all plans, whereas the Double-Arc plan was slightly inferior to the POA-VMAT but superior to the Single-Arc and 7f-IMRT plan. The HI for 7f-IMRT, Single-Arc, Double-Arc and POA-VMAT were 0.17 ± 0.08, 0.28 ± 0.06, 0.29 ± 0.06 and 0.28 ± 0.03, respectively. For the NTCP results, there was significant statistical difference among POA-VMAT, IMRT and VMAT plans. The total MU was reduced by 48.3% and 42.1% in Single-Arc and POA-VMAT plans compare to IMRT plans. Conclusions: By comprehensive consideration, POA-VMAT efficiently generate acceptable treatment plans for CTEC without dose escalation to OARs and overall superior to manual planning which is a good option for treating CTEC.

show abstract

Volumetric modulated arc therapy with robust optimization for larynx cancer

Cited by 6 publications

References 31 publications

Evaluation of plan quality and robustness of IMPT and helical IMRT for cervical cancer

Evaluation of plan quality and robustness of IMPT and helical IMRT for cervical cancer

WITHDRAWN: The Dosimetric Advantages of Robust Optimization Combined With Flatten Filter Free Mode in Left Breast Cancer

Comprehensive Comparison of Progressive Optimization Algorithm Based Automatic Plan and Manually Planned Treatment Technique for Cervical-Thoracic Esophageal Cancers

Contact Info

Product

Resources

About