In vivo dose measurements for tangential field-in-field ultra-hypofractionated breast radiotherapy.

Introduction: Ultra-hypofractionated radiotherapy (UHF-RT) mandates more accuracy in each part of the treatment cycle to maximize cure rates and minimize toxicities. In vivo dosimetry is a direct method for verifying overall treatment accuracy. This study evaluated uncertainties in the delivered dose of Hypofractionated (HF) and UHF Whole Breast Irradiation (WBI) and to analyze the accuracy of the workflow to pave the way for a wide-scale use of UHF-RT.

Sacral Chordoma with Bilateral Inguinal Lymph Node Metastasis and Metachronous Tumor of the Clivus: A Case Report.

Introduction: Chordoma is a malignant neoplasm that arises from notochord remnants. Its incidence is highest above the age of 50 and behaves as a locally aggressive tumor with a slow growth rate. In most cases, complete surgical resection followed by radiotherapy offers the best chance of control.

Dosimetric assessment of an Atlas based automated segmentation for loco-regional radiation therapy of early breast cancer in the Skagen Trial 1: A multi-institutional study.

The effect of Atlas-based automated segmentation (ABAS) on dose volume histogram (DVH) parameters compared to manual segmentation (MS) in loco-regional radiotherapy (RT) of early breast cancer was investigated in patients included in the Skagen Trial 1. This analysis supports implementation of ABAS in clinical practice and multi-institutional trials.

Internal and external validation of an ESTRO delineation guideline - dependent automated segmentation tool for loco-regional radiation therapy of early breast cancer.

Background And Purpose: To internally and externally validate an atlas based automated segmentation (ABAS) in loco-regional radiation therapy of breast cancer.

Materials And Methods: Structures of 60 patients delineated according to the ESTRO consensus guideline were included in four categorized multi-atlas libraries using MIM Maestro™ software. These libraries were used for auto-segmentation in two different patient groups (50 patients from the local institution and 40 patients from other institutions).