Raman spectroscopy and multivariate regression analysis in biomedical research, medical diagnosis, and clinical analysis

N Siraj, DK Bwambok, PN Brady, M Taylor… - Applied Spectroscopy …, 2021 - Taylor & Francis
High operational costs of modern medical devices and the required specialized, skilled
personnel with certifications to operate most medical instrumentation remains a challenge …

Advanced Magnetic Resonance Imaging in the Evaluation of Treated Glioblastoma: A Pictorial Essay

M Martucci, R Russo, C Giordano, C Schiarelli… - Cancers, 2023 - mdpi.com
Simple Summary Glioblastoma is the most common malignant primary tumor of the central
nervous system, with a poor prognosis despite many available treatments, including surgery …

MRI-based radiomics distinguish different pathological types of hepatocellular carcinoma

X Wang, S Wang, X Yin, Y Zheng - Computers in biology and medicine, 2022 - Elsevier
Object To distinguish combined hepatocellular cholangiocarcinoma (cHCC-CC),
hepatocellular carcinoma (HCC) and cholangiocarcinoma (CC) before operation using MRI …

Radiomics for residual tumour detection and prognosis in newly diagnosed glioblastoma based on postoperative [11C] methionine PET and T1c-w MRI

I Shahzadi, A Seidlitz, B Beuthien-Baumann… - Scientific Reports, 2024 - nature.com
Personalized treatment strategies based on non-invasive biomarkers have potential to
improve patient management in patients with newly diagnosed glioblastoma (GBM). The …

Interpretable machine learning with brain image and survival data

M Eder, E Moser, A Holzinger, C Jean-Quartier… - …, 2022 - mdpi.com
Recent developments in research on artificial intelligence (AI) in medicine deal with the
analysis of image data such as Magnetic Resonance Imaging (MRI) scans to support the of …

Segmentation of glioblastomas in early post-operative multi-modal MRI with deep neural networks

RH Helland, A Ferles, A Pedersen, I Kommers… - Scientific reports, 2023 - nature.com
Extent of resection after surgery is one of the main prognostic factors for patients diagnosed
with glioblastoma. To achieve this, accurate segmentation and classification of residual …

The impact of postoperative tumor burden on patients with brain metastases

AK Aftahy, M Barz, N Lange, L Baumgart… - Frontiers in …, 2022 - frontiersin.org
Background Brain metastases were considered to be well-defined lesions, but recent
research points to infiltrating behavior. Impact of postoperative residual tumor burden (RTB) …

Pretreatment MR-based radiomics in patients with glioblastoma: A systematic review and meta-analysis of prognostic endpoints

Y Choi, J Jang, B Kim, KJ Ahn - European Journal of Radiology, 2023 - Elsevier
Purpose Recent studies have shown promise of MR-based radiomics in predicting the
survival of patients with untreated glioblastoma. This study aimed to comprehensively collate …

Artificial Intelligence Analysis Using MRI and PET Imaging in Gliomas: A Narrative Review

P Alongi, A Arnone, V Vultaggio, A Fraternali, A Versari… - Cancers, 2024 - mdpi.com
Simple Summary The use of AI on medical images (CT, MRI, PET) has become a primary
clinical and research interest. The main issues of these applications are strictly related to the …

DeepEOR: automated perioperative volumetric assessment of variable grade gliomas using deep learning

O Zanier, R Da Mutten, M Vieli, L Regli, C Serra… - Acta …, 2023 - Springer
Purpose Volumetric assessments, such as extent of resection (EOR) or residual tumor
volume, are essential criterions in glioma resection surgery. Our goal is to develop and …