Radiosurgery

Model
Digital Document
Publisher
Florida Atlantic University
Description
Dosimetric uncertainty in very small (< 2 x 2 cm2) photon fields is notably higher that has created research questions when using small-field virtual cone with variable multileaf collimator (MLC) fields. We evaluate the efficacy of the virtual cone with a fixed MLC field for stereotactic radiosurgery (SRS) of small targets such as trigeminal neuralgia.
We employed a virtual cone technique with a fixed field geometry, called fixed virtual cone (fVC), for small target radiosurgery using the EDGE (Varian Medical Systems, Palo Alto, CA) linac. The fVC is characterized by 0.5 cm x 0.5 cm high-definition MLC field of 10 MV flattening filter-free (FFF) beam defined at 100 cm SAD, while jaws are positioned at 1.5 cm x 1.5 cm. A spherical dose distribution equivalent to 5 mm cone was generated by using 10–14 non-coplanar partial arcs. The dosimetric accuracy of this technique was validated using the SRS MapCHECK (Sun Nuclear Corporation, FL) and the EBT3 (Ashland Inc., NJ) film based on absolute dose measurements. For the quality assurance (QA), 10 treatment plans for trigeminal neuralgia consisting of various arc fields at different collimator angles were analyzed retrospectively using 6 MV and 10 MV FFF beams, including the field-by-field study (n = 130 fields). Dose outputs were compared between the SRS MapCHECK measurements and Eclipse treatment planning system (TPS) with Acuros XB algorithm (version 16.1). In addition, important clinical parameters of 15 cases treated for trigeminal neuralgia were evaluated for the clinical performance. Moreover, dosimetric (field output factors, dose/MU) uncertainties considering a minute (± 0.5–1.0 mm) leaf shift in the field defining fVC, were examined from the TPS, SRS diode (PTW 60018) measurements, and Monte Carlo (MC) simulations.
Model
Digital Document
Publisher
Florida Atlantic University
Description
Since the release of the Cyberknife Multileaf Collimator (CK-MLC), it has been a constant
concern on the realistic dose differences computed with its early-available Finite Size
Pencil Beam algorithm (FSPB) from those computed by using industry well-accepted
algorithms such as the Monte Carlo (MC) dose algorithm. In this study dose disparities
between FSPB and MC dose calculation algorithms for selected CK-MLC treatment plans
were quantified. The dosimetry for planning target volume (PTV) and major organs at risks
(OAR) was compared by calculating normalized percentage deviations (Ndev) between the
two algorithms. It is found that the FSPB algorithm overestimates D95 of PTV when
compared with the MC algorithm by averaging 24.0% in detached lung cases, and 15.0%
in non-detached lung cases which is attributed to the absence of heterogeneity correction
in the FSPB algorithm. Average dose differences are 0.3% in intracranial and 0.9% in
pancreas cases. Ndev for the D95 of PTV range from 8.8% to 14.1% for the CK-MLC lung
treatment plans with small field (SF ≤ 2x2cm2). Ndev is ranged from 0.5-7.0% for OARs.
Model
Digital Document
Publisher
Florida Atlantic University
Description
Stereotactic Body Radiation Therapy (SBRT) is a modern precision radiation therapy to deliver the dose in 1 to 5 fractions with high target dose conformity, and steep dose gradient towards healthy tissues. The dose delivered is influenced by the leaf width of the MLC, especially in case of SBRT. Treatment plans with high definition (HD) MLC having leaf-width 2.5 mm and normal MLC having leaf-width 5 mm, were compared to quantify dosimetric and radiobiological parameters. Dosimetric parameters conformity indices (CI), gradient indices (GI) and heterogeneity indices (HI) were compared. The radiobiological parameters were evaluated by normal tissue complication probability (NTCP) and tumor control probability (TCP) based on the equivalent uniform dose (EUD). The results show that there is dosimetric and radiobiological merit of the HD MLC over the normal MLC. However, the improvement is not consistent with all the plans and thus further research is required prior to conclusion.