[HTML][HTML] Towards precision medicine: from quantitative imaging to radiomics

UR Acharya, Y Hagiwara, VK Sudarshan… - Journal of Zhejiang …, 2018 - ncbi.nlm.nih.gov
Radiology (imaging) and imaging-guided interventions, which provide multi-parametric
morphologic and functional information, are playing an increasingly significant role in …

The “hype” of hydrops in classifying vestibular disorders: a narrative review

MFJA van der Lubbe, A Vaidyanathan… - Journal of …, 2020 - Springer
Background Classifying and diagnosing peripheral vestibular disorders based on their
symptoms is challenging due to possible symptom overlap or atypical clinical presentation …

Radiographic prediction of meningioma grade by semantic and radiomic features

TP Coroller, WL Bi, E Huynh, M Abedalthagafi… - PloS one, 2017 - journals.plos.org
Objectives The clinical management of meningioma is guided by tumor grade and biological
behavior. Currently, the assessment of tumor grade follows surgical resection and …

Deep learning for the fully automated segmentation of the inner ear on MRI

A Vaidyanathan, MFJA van der Lubbe… - Scientific reports, 2021 - nature.com
Segmentation of anatomical structures is valuable in a variety of tasks, including 3D
visualization, surgical planning, and quantitative image analysis. Manual segmentation is …

A non-invasive, automated diagnosis of Menière's disease using radiomics and machine learning on conventional magnetic resonance imaging: A multicentric, case …

MFJA van der Lubbe, A Vaidyanathan, M de Wit… - La radiologia …, 2022 - Springer
Purpose This study investigated the feasibility of a new image analysis technique
(radiomics) on conventional MRI for the computer-aided diagnosis of Menière's disease …

A radiomics-based nomogram for the preoperative prediction of posthepatectomy liver failure in patients with hepatocellular carcinoma

W Cai, B He, M Hu, W Zhang, D Xiao, H Yu, Q Song… - Surgical oncology, 2019 - Elsevier
Objectives To develop and validate a radiomics-based nomogram for the preoperative
prediction of posthepatectomy liver failure (PHLF) in patients with hepatocellular carcinoma …

Corpus callosum radiomics-based classification model in Alzheimer's disease: a case-control study

Q Feng, Y Chen, Z Liao, H Jiang, D Mao… - Frontiers in …, 2018 - frontiersin.org
Background: Alzheimer's disease (AD) is a progressive neurodegenerative disease that
causes the decline of some cognitive impairments. The present study aimed to identify the …

A radiomics-based formula for the preoperative prediction of postoperative pancreatic fistula in patients with pancreaticoduodenectomy

W Zhang, W Cai, B He, N Xiang, C Fang… - Cancer Management …, 2018 - Taylor & Francis
Objective The objective of the study was to develop and validate a radiomics-based formula
for the preoperative prediction of postoperative pancreatic fistula (POPF) in patients …

Non-contrast MRI of inner ear detected differences of endolymphatic drainage system between vestibular migraine and unilateral Meniere's disease

Y Leng, P Lei, C Chen, Y Liu, K Xia, B Liu - Frontiers in Neurology, 2022 - frontiersin.org
Objective We aimed to evaluate the diagnostic performance of some anatomical variables
with regard to endolymphatic sac (ES) and duct (ED), measured by non-contrast three …

[HTML][HTML] Referateband: Radiomics: Big Data Instead of Biopsies in the Future?

K Scheckenbach - Laryngo-rhino-otologie, 2018 - ncbi.nlm.nih.gov
Precision medicine is increasingly pushed forward, also with respect to upcoming new
targeted therapies. Individual characterization of diseases on the basis of biomarkers is a …