Publications by authors named "Karin Goudschaal"
Purpose: In postoperative breast irradiation, changes in the breast contour and arm positioning can result in patient positioning errors and offline replanning. This can lead to increased treatment burden and strain on departmental logistics because of the need for additional cone beam computed tomography (CBCT) images or even a new radiation therapy treatment plan (TP). Online daily adaptive radiation therapy (oART) could provide a solution to these challenges.
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- Bladder radiotherapy can be tricky because the size and shape of the bladder can change daily, making it hard to treat tumors effectively while avoiding damage to healthy tissue.
- A study compared a new method called online adaptive radiotherapy (oART), which adjusts daily to these changes, with the old method that doesn’t adjust (non-ART).
- Results showed that oART not only effectively targeted the bladder cancer but also reduced radiation exposure to healthy organs, meaning fewer side effects for the patient over two years.
Article Synopsis
- The study looked at a new way to treat bladder cancer using a computer program that can automatically adjust daily treatments without needing a doctor to make changes each time.
- They tested this method on 17 patients, focusing on how well the computer's work matched up with the usual treatment techniques.
- The results showed that while the computer did a good job, there were still some differences in how the treatment areas were outlined compared to the traditional method used by doctors.
Background And Purpose: Virtual Unenhanced images (VUE) from contrast-enhanced dual-energy computed tomography (DECT) eliminate manual suppression of contrast-enhanced structures (CES) or pre-contrast scans. CT intensity decreases in high-density structures outside the CES following VUE algorithm application. This study assesses VUE's impact on the radiotherapy workflow of gynecological tumors, comparing dose distribution and cone-beam CT-based (CBCT) position verification to contrast-enhanced CT (CECT) images.
View Article and Find Full Text PDFPurpose: The aim was to assess the feasibility of online adaptive radiotherapy (oART) for bladder cancer using a focal boost by focusing on the quality of the online treatment plan and automatic target delineation, duration of the workflow and performance in the presence of fiducial markers for tumor bed localization.
Methods: Fifteen patients with muscle invasive bladder cancer received daily oART with Cone Beam CT (CBCT), artificial intelligence (AI)-assisted automatic delineation of the daily anatomy and online plan reoptimization. The bladder and pelvic lymph nodes received a total dose of 40 Gy in 20 fractions, the tumor received an additional simultaneously integrated boost (SIB) of 15 Gy.
Background And Purpose: The stomach experiences large volume and shape changes during pre-operative gastric radiotherapy. This study evaluates the dosimetric benefit for organs-at-risk (OARs) of a library of plans (LoP) compared to the traditional single-plan (SP) strategy.
Materials And Methods: Twelve patients who received SP CBCT-guided pre-operative gastric radiotherapy (45 Gy; 25 fractions) were included.
Background: The benefit of MR-only workflow compared to current CT-based workflow for prostate radiotherapy is reduction of systematic errors in the radiotherapy chain by 2-3 mm. Nowadays, MRI is used for target delineation while CT is needed for position verification. In MR-only workflows, MRI based synthetic CT (sCT) replaces CT.
View Article and Find Full Text PDFBackground And Purpose: The stomach displays large anatomical changes in size, shape and position, which implies the need for plan adaptation for gastric cancer patients who receive pre-operative radiotherapy. We evaluated the feasibility and necessity of a CBCT-guided library of plans (LoP) strategy in gastric cancer radiotherapy.
Methods: Eight gastric cancer patients treated with 24-25 fractions of single-plan radiotherapy with daily CBCT imaging were included.