Categories:
Software-Assisted CT Assessment Outperforms Manual Methods in Oncology Study
A recent study conducted at UKE Hamburg compared manual and software-assisted assessments of computed tomography (CT) scans according to iRECIST…
UKE Hamburg: Study Shows that Software-Assisted Assessments Enhance iRECIST Evaluation
This research study [1] aimed to compare the feasibility and reliability of manual versus software-assisted assessments of computed tomography (CT)…
ECR 2024
Through advancements in both technology and techniques, the future of medical imaging will become the central theme of ECR 2024
CT-Radiomics unveils insights into sarcopenia's impact on esophageal and gastric cancer prognosis
Analyzing 83 patients with contrast-enhanced CT scans, University Hospital Ulm researchers tracked the prevalence of sarcopenia at different time…
University Hospital Ulm: CT Radiomics and Machine Learning in Sarcopenia Evaluation for Esophageal and Gastric Cancer Patients
A recent study [1] conducted by researchers at University Hospital Ulm explored the role of sarcopenia in patients with esophageal or gastric cancer.…
Challenges and Opportunities of Setting Up a Comprehensive Oncological Imaging Database
In an exclusive interview with Prof. Dr. Thorsten Persigehl, a leading expert in Oncological Imaging, we delved into the transformative radCIO project…