Categories: Clinical Research

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RACOON FADEN Project Tackles Early Detection of Adenomyosis

Endometriosis is a vastly under-researched condition affecting women, but it is finally receiving the attention it deserves through the RACOON FADEN…

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Woman reading the article on multiparametric MRI in prostate cancer treatments on her laptop

Use of Multiparametric MRI in Prostate Cancer Treatments: A Prospective Study

The prospective study conducted by LMU Klinikum München investigates the effectiveness of vascular-targeted photodynamic therapy (VTP) and…

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LMU Klinikum Munich: Monitoring Prostate Cancer Treatments with VTP and HIFU - The Use of Multiparametric MRI

The prospective study conducted by LMU Klinikum Munich investigates the treatment of localized prostate cancer using two techniques: vascular-targeted…

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RACOON FADEN: Pioneering Early Detection of Adenomyosis – Insights from Prof. Mechsner (Charité Berlin) and Prof. May (University Hospital Erlangen)

Adenomyosis is a gynecological condition of the uterus and a form of endometriosis. Approximately 10 percent of women of reproductive age are affected…

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Virtual examination of human lungs on a modern interface screen

Early Detection of Treatment Response in Lung Cancer Using Delta-Radiomics Features

The study conducted by Heidelberg University Hospital investigates the use of diffusion-weighted MRI (DWI) to predict early treatment outcomes in…

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The image serves as a graphical abstract, displaying visuals from the study, ranging from MRI scans to the analysis of delta-radiomics texture features

Heidelberg University Hospital: Delta-Radiomics Features from ADC Maps as Early Predictors of Treatment Success in Lung Cancer Therapy

In this prospective study conducted by Heidelberg University Hospital, researchers investigated whether changes in radiomic features from…

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Doctors looking at MRI scans to evaluate a glioblastoma.

Optimizing Glioblastoma Imaging: Enhancing MRI Efficiency and Quality with Deep Learning

This study investigates the use of deep learning (DL) to optimize MRI protocols for glioblastoma patients, aiming to reduce scan time and improve…

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Three important sequences (FLAIR, T2, T1 with contrast agent) in the assessment of glioblastoma

University Hospital Tübingen: Advancing MRI Efficiency in Glioblastoma Care with Deep Learning

This study explores the use of deep learning (DL) to optimize MRI protocols for glioblastoma patients. Glioblastomas, known for being the most…

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Doctor reading study on laptop

Key Imaging Features for Differentiating Rare Pancreatic Tumors

Solid pseudopapillary neoplasms (SPN), also known as Frantz tumors, are rare tumors of the pancreas. Due to overlapping features of SPN and pancreatic…

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