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Philipp Vollmuth

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Articles 48
Citations 378
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Recent Articles
1.
Vollmuth P, Karschnia P, Sahm F, Park Y, Ahn S, Jain R
Korean J Radiol . 2025 Feb; PMID: 40015559
Owing to recent advancements in various postoperative treatment modalities, such as radiation, chemotherapy, antiangiogenic treatment, and immunotherapy, the radiological and clinical assessment of patients with isocitrate dehydrogenase-wildtype glioblastoma using post-treatment...
2.
Vollmuth P, Karschnia P, Sahm F, Park Y, Ahn S, Jain R
Korean J Radiol . 2025 Feb; 26(3):246-268. PMID: 39999966
The paradigm of isocitrate dehydrogenase (IDH)-wildtype glioblastoma is rapidly evolving, reflecting clinical, pathological, and imaging advancements. Thus, it remains challenging for radiologists, even those who are dedicated to neuro-oncology imaging,...
3.
Lehnen N, Kursch J, Wichtmann B, Wolter M, Bendella Z, Bode F, et al.
Clin Neuroradiol . 2025 Feb; PMID: 39998651
Purpose: GPT‑4 has been shown to correctly extract procedural details from free-text reports on mechanical thrombectomy. However, GPT may not be suitable for analyzing reports containing personal data. The purpose...
4.
Wald T, Hamm B, Holzschuh J, Shafie R, Kudak A, Kovacs B, et al.
Eur Radiol Exp . 2025 Feb; 9(1):15. PMID: 39913077
Background: Gadolinium-enhanced "sampling perfection with application-optimized contrasts using different flip angle evolution" (SPACE) sequence allows better visualization of brain metastases (BMs) compared to "magnetization-prepared rapid acquisition gradient echo" (MPRAGE). We...
5.
Foltyn-Dumitru M, Rastogi A, Cho J, Schell M, Mahmutoglu M, Kessler T, et al.
Neurooncol Adv . 2025 Jan; 7(1):vdae230. PMID: 39780768
Background: This study aimed to explore the potential of the Advanced Data Analytics (ADA) package of GPT-4 to autonomously develop machine learning models (MLMs) for predicting glioma molecular types using...
6.
Pfluger I, Rastogi A, Casagranda S, Papageorgakis C, Behnisch R, Liebig P, et al.
Eur Radiol . 2024 Dec; PMID: 39694884
Objectives: Chemical exchange saturation transfer (CEST) imaging has emerged as a promising imaging biomarker, but its reliability for clinical practice remains uncertain. This study aimed to investigate the robustness of...
7.
Ozair A, Wilding H, Bhanja D, Mikolajewicz N, Glantz M, Grossman S, et al.
Nat Rev Clin Oncol . 2024 Dec; 22(2):134-154. PMID: 39653782
Leptomeningeal metastatic disease (LMD), encompassing entities of 'meningeal carcinomatosis', neoplastic meningitis' and 'leukaemic/lymphomatous meningitis', arises secondary to the metastatic dissemination of cancer cells from extracranial and certain intracranial malignancies into...
8.
Bakas S, Vollmuth P, Galldiks N, Booth T, Aerts H, Bi W, et al.
Lancet Oncol . 2024 Oct; 25(11):e589-e601. PMID: 39481415
Technological advancements have enabled the extended investigation, development, and application of computational approaches in various domains, including health care. A burgeoning number of diagnostic, predictive, prognostic, and monitoring biomarkers are...
9.
Villanueva-Meyer J, Bakas S, Tiwari P, Lupo J, Calabrese E, Davatzikos C, et al.
Lancet Oncol . 2024 Oct; 25(11):e581-e588. PMID: 39481414
The development, application, and benchmarking of artificial intelligence (AI) tools to improve diagnosis, prognostication, and therapy in neuro-oncology are increasing at a rapid pace. This Policy Review provides an overview...
10.
Bauer T, Olbrich S, Groteklaes A, Lehnen N, Zidan M, Lange A, et al.
Epilepsia . 2024 Oct; 65(12):3607-3618. PMID: 39470733
Objective: High-field magnetic resonance imaging (MRI) is a standard in the diagnosis of epilepsy. However, high costs and technical barriers have limited adoption in low- and middle-income countries. Even in...