The evaluation of the novel efficiency index in relative to the conformity indices in stereotactic radiosurgery for patients with arteriovenous malformation

Abstract

Author(s): Arkan M Mhal, Mohsen Hamoud Jasim, Abbood Abbas Abbood

Background: Stereotactic radiosurgery (SRS) is distinguished by high levels of conformity and high radiation gradients from the target's periphery to surrounding normal tissues. treatment regimens for radiosurgery should be adjusted by reducing the amount of dosage delivered to the surrounding tissue while increasing the amount of radiation delivered to the target volume. There have been many different indexes suggested to assess the quality of a radio surgical plan, but they all have some drawbacks. To overcome the limitations of the currently used metrics, a novel metric is proposed by Ian Paddick and his team called the efficiency index (?50%). Method: Calculate the efficiency index (50%), which is based on the idea of integral dosage calculation: ?50% = integral dose TV/ integral dosePIV50% the integral dosage (volume times mean dose). The TV and PIV50% differential Dose Volume Histograms (DVHs) are an alternative. The amount of energy inside the PIV50% that falls into the target is effectively represented by the resultant 50% value. The potential range of this value is between 0 and 1, with 1 denoting perfection. The index yields a single number that incorporates conformance, gradient, and mean dosage to the target. 50 clinical SRS designs were used to get the value of 50%. Results: The evaluation of ?50% for the 50 plan treatments used in SRS ranged between the lower percentage of 43% and the upper percentage of 84%, with a mean value recorded of 64% in this study. The result was shown a strong relationship between the efficiency index and essential parameters in treatment plan evaluation of the arteriovenous malformations. Conclusion: The efficiency index that had been introduced is considered an innovative method for assessing the quality of the plan since it has the ability to combine the conformity, gradient, and mean dosage into a single indicator. It provides a numerical value for the proportion of the dosage presented by "does good" to the amount that "does harm."

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Awards Nomination

Editors List

  • Ahmed Hussien Alshewered

    University of Basrah College of Medicine, Iraq

  • Sudhakar Tummala

    Department of Electronics and Communication Engineering SRM University – AP, Andhra Pradesh

     

     

     

  • Alphonse Laya

    Supervisor of Biochemistry Lab and PhD. students of Faculty of Science, Department of Chemistry and Department of Chemis

     

  • Fava Maria Giovanna

     

  • Manuprasad Avaronnan

Onkologia i Radioterapia peer review process verified at publons
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