A systematic review and meta-analysis of liver tumor position variability during SBRT using various motion management and IGRT strategies

Sharma, M. L.; Nano, Tomi F.; Akkati, Meghana; Milano, Michael T.; Morin, Olivier; Feng, Mary

doi:10.1016/j.radonc.2021.11.022

Cited by 24 publications

(15 citation statements)

References 62 publications

Supporting

Mentioning

Contrasting

Unclassified

Order By: Relevance

“…Our study indicated that the liver motion range changes of 1.08 mm LR, 2.26 mm AP, and 5.42 mm SI during SBRT were smaller in the majority of this patient population, when compared with Sharma’s work ( 55 ) of 4.2, 5.4 and 9.7 mm, respectively. However, comparable margins of 1-3 mm AP/LR and 3-6 mm SI were also reported by Yang and Shimohigashi ( 44 , 56 ).…”

Section: Discussionmentioning

confidence: 51%

“…Recently, a systematic review and meta-analysis for liver SBRT with different motion management strategies was published by Sharma et al. ( 55 ). The margins obtained in this study were compared with those from Sharma’s work with free-breathing, as was displayed in Figure 5 and subfigure A, B and C represents PTV margins in X, Y and Z directions,respectively.…”

Section: Resultsmentioning

confidence: 99%

“…The black solid balls and red dashed lines represent the PTV margins and related 95% confidence intervals obtained in this work. The gray areas indicate the range of margins from M. Sharma’s work ( 55 ). The margins obtained in this study are much smaller than the results of Sharma, but are within the range of standard deviation.…”

Section: Resultsmentioning

confidence: 99%

“…The black solid balls and red dashed lines represent the PTV margins and related 95% confident intervals obtained in this work. The gray areas indicate the range of margins from M. Sharma’s work ( 55 ).…”

Section: Resultsmentioning

confidence: 99%

“…Among all recipes, the maximum margins of 2.08, 2.94 and 7.36 mm were obtained in LR, AP and SI directions based on the recipes 2.5S+1.64(s−s p ) , 2.5S+0.7s , and 1.65s , respectively. Recently, a systematic review and meta-analysis for liver SBRT with different motion management strategies was published by Sharma et al (55). The margins obtained in this study were compared with those from Sharma's work with free-breathing,…”

Section: Margins Calculated Based On Published Recipesmentioning

confidence: 96%

See 4 more Smart Citations

Quantifying 6D tumor motion and calculating PTV margins during liver stereotactic radiotherapy with fiducial tracking

Sun

Dai

et al. 2022

Front. Oncol.

View full text Add to dashboard Cite

ObjectiveOur study aims to estimate intra-fraction six-dimensional (6D) tumor motion with rotational correction and the related correlations between motions of different degrees of freedom (DoF), as well as quantify sufficient anisotropic clinical target volume (CTV) to planning target volume (PTV) margins during stereotactic body radiotherapy (SBRT) of liver cancer with fiducial tracking technique.MethodsA cohort of 12 patients who were implanted with 3 or 4 golden markers were included in this study, and 495 orthogonal kilovoltage (kV) pairs of images acquired during the first fraction were used to extract the spacial position of each golden marker. Translational and rotational motions of tumor were calculated based on the marker coordinates by using an iterative closest point (ICP) algorithm. Moreover, the Pearson product-moment correlation coefficients (r) were applied to quantify the correlations between motions with different degrees of freedom (DoFs). The population mean displacement (MP¯), systematic error (Σ) and random error (σ) were obtained to calculate PTV margins based on published recipes.ResultsThe mean translational variability of tumors were 0.56, 1.24 and 3.38 mm in the left-right (LR, X), anterior-posterior (AP, Y), and superior-inferior (SI, Z) directions, respectively. The average rotational angles θX , θY and θZ around the three coordinate axes were 0.88, 1.24 and 1.12, respectively. (|r|>0.4) was obtainted between Y -Z , Y - θZ , Z -θZ and θX - θY . The PTV margins calculated based on 13 published recipes in X, Y, and Z directions were 1.08, 2.26 and 5.42 mm, and the 95% confidence interval (CI) of them were (0.88,1.28), (1.99,2.53) and (4.78,6.05), respectively.ConclusionsThe maximum translational motion was in SI direction, and the largest correlation coefficient of Y-Z was obtained. We recommend margins of 2, 3 and 7 mm in LR, AP and SI directions, respectively.

show abstract

Section: Discussionmentioning

confidence: 51%

Section: Resultsmentioning

confidence: 99%

Section: Resultsmentioning

confidence: 99%

Section: Resultsmentioning

confidence: 99%

Section: Margins Calculated Based On Published Recipesmentioning

confidence: 96%

See 3 more Smart Citations

Quantifying 6D tumor motion and calculating PTV margins during liver stereotactic radiotherapy with fiducial tracking

Sun

Dai

et al. 2022

Front. Oncol.

View full text Add to dashboard Cite

show abstract

Online verification of breath‐hold reproducibility using kV‐triggered imaging for liver stereotactic body radiation therapy

Guo

Stephans

Woody

et al. 2023

J Applied Clin Med Phys

View full text Add to dashboard Cite

PurposeTo introduce a new technique for online breath‐hold verification for liver stereotactic body radiation therapy (SBRT) based on kilovoltage‐triggered imaging and liver dome positions.Material and MethodsTwenty‐five liver SBRT patients treated with deep inspiration breath‐hold were included in this IRB‐approved study. To verify the breath‐hold reproducibility during treatment, a KV‐triggered image was acquired at the beginning of each breath‐hold. The liver dome position was visually compared with the expected upper/lower liver boundaries created by expanding/contracting the liver contour 5 mm in the superior‐inferior direction. If the liver dome was within the boundaries, delivery continued; otherwise, beam was held manually, and the patient was instructed to take another breath‐hold until the liver dome fell within boundaries. The liver dome was delineated on each triggered image. The mean distance between the delineated liver dome to the projected planning liver contour was defined as liver dome position error edome. The mean and maximum edome of each patient were compared between no breath‐hold verification (all triggered images) and with online breath‐hold verification (triggered images without beam‐hold).ResultsSeven hundred thirteen breath‐hold triggered images from 92 fractions were analyzed. For each patient, an average of 1.5 breath‐holds (range 0–7 for all patients) resulted in beam‐hold, accounting for 5% (0–18%) of all breath‐holds; online breath‐hold verification reduced the mean edome from 3.1 mm (1.3–6.1 mm) to 2.7 mm (1.2–5.2 mm) and the maximum edome from 8.6 mm (3.0–18.0 mm) to 6.7 mm (3.0–9.0 mm). The percentage of breath‐holds with edome >5 mm was reduced from 15% (0–42%) without breath‐hold verification to 11% (0–35%) with online breath‐hold verification. online breath‐hold verification eliminated breath‐holds with edome >10 mm, which happened in 3% (0–17%) of all breath‐holds.ConclusionIt is clinically feasible to monitor the reproducibility of each breath‐hold during liver SBRT treatment using triggered images and liver dome. Online breath‐hold verification improves the treatment accuracy for liver SBRT.

show abstract

Comparison of baseline drifts using three reflector blocks versus using a single reflector block for the calibration of wall‐mounted Respiratory Gating for Scanner (RGSC) camera integrated with a CT

Liu,

Shi,

Prakash

et al. 2023

J Applied Clin Med Phys

View full text Add to dashboard Cite

BackgroundThe calibration of the Respiratory Gating for SCanner (RGSC) system is critical to achieve better and more stable accuracy. The current procedure for a wall‐mounted RGSC system has a relatively large residual error.PurposeTo compare the baseline drifts in the image acquisition of DIBH using three reflector blocks versus using a single reflector block in the calibration of a wall‐mounted RGSC camera system.Materials and methodsVarian provides a calibration plate with three rows of calibration points: each row is separated by 15 cm longitudinally and by 10 cm laterally. In Varian's single‐block calibration method, the reflector block was first placed on the center point of the calibration plate and aligned with the scanner isocenter. The calibration took a picture of the block, then placed the block on the other eight points sequentially. In the proposed three‐block method, we placed three reflector blocks on the center row, with the center block aligned with the isocenter, and we took a picture of the center block by manually blocking the other two blocks in calibration. By moving the couch longitudinally in or out 15 cm, the calibration goes through all nine points. Monte Carlo simulation was done using Matlab to analyze the calibration matrix eigenvalue characteristics.ResultsFor a typical scan length of 40 cm of DIBH, the residual baseline drift in simulated DIBH is 0.02 ± 0.03 versus 0.30 ± 0.12 cm for three‐block calibration and single‐block calibration, respectively. To achieve 0.5 mm tolerance for the eigenvalue, the laser and reflector box should be within ±3 mm uncertainties based on the eigenvalue simulation.ConclusionThree‐block calibration method effectively removes baseline drift caused by couch movement in DIBH/4D CT scan for the wall‐mounted camera while the single‐block calibration method still has significant residual baseline drift.

show abstract

A systematic review and meta-analysis of liver tumor position variability during SBRT using various motion management and IGRT strategies

Cited by 24 publications

References 62 publications

Quantifying 6D tumor motion and calculating PTV margins during liver stereotactic radiotherapy with fiducial tracking

Quantifying 6D tumor motion and calculating PTV margins during liver stereotactic radiotherapy with fiducial tracking

Online verification of breath‐hold reproducibility using kV‐triggered imaging for liver stereotactic body radiation therapy

Comparison of baseline drifts using three reflector blocks versus using a single reflector block for the calibration of wall‐mounted Respiratory Gating for Scanner (RGSC) camera integrated with a CT

Contact Info

Product

Resources

About