4.6 Article

MRI-based radiomics features uncover the micro-change of dorsal root ganglia lesion for patients with post-herpetic neuralgia

Related references

Note: Only part of the references are listed.
Article Radiology, Nuclear Medicine & Medical Imaging

Development and validation of a preoperative CT-based radiomic nomogram to predict pathology invasiveness in patients with a solitary pulmonary nodule: a machine learning approach, multicenter, diagnostic study

Luyu Huang et al.

Summary: This study demonstrated the potential of a nomogram constructed by identified clinical-radiological signatures and combined radiomic signatures to precisely predict pathology invasiveness. The radiomic nomogram outperformed any clinical or radiomic signature in terms of clinical predictive abilities.

EUROPEAN RADIOLOGY (2022)

Article Geriatrics & Gerontology

Radiomic Features of the Hippocampus for Diagnosing Early-Onset and Late-Onset Alzheimer's Disease

Yang Du et al.

Summary: This study aimed to differentiate between EOAD and LOAD using hippocampal radiomic features, providing valuable insights into potential biomarkers for early and late-onset Alzheimer's disease.

FRONTIERS IN AGING NEUROSCIENCE (2022)

Review Cell Biology

2D vs 3D morphological analysis of dorsal root ganglia in health and painful neuropathy

Valentina Alda Carozzi et al.

Summary: Dorsal root ganglia (DRGs) are clusters of sensory neurons that transmit sensory information and are vulnerable to various stress and damage, leading to sensory peripheral neuropathy characterized by neurophysiological abnormalities and neuropathic pain. The intimate intercommunication between sensory neurons and satellite glial cells (SGCs) is crucial in understanding the pathology of DRGs.

EUROPEAN JOURNAL OF HISTOCHEMISTRY (2021)

Article Oncology

Nomograms to predict outcomes after 177Lu-PSMA therapy in men with metastatic castration-resistant prostate cancer: an international, multicentre, retrospective study

Andrei Gafita et al.

Summary: Nomograms developed in this study can predict outcomes after Lu-177-PSMA in patients with mCRPC. These predictive models can assist in guiding clinical trial design and individual clinical decision-making, especially in institutions where Lu-177-PSMA is introduced as a novel therapeutic option.

LANCET ONCOLOGY (2021)

Article Neurosciences

Substantia Nigra Radiomics Feature Extraction of Parkinson's Disease Based on Magnitude Images of Susceptibility-Weighted Imaging

Qingguo Ren et al.

Summary: Radiomic features based on magnitude images can reflect the Hoehn-Yahr stage of PD to some extent. The LASSO logistic regression model showed good prediction efficacy in both the training and validation sets.

FRONTIERS IN NEUROSCIENCE (2021)

Article Medicine, General & Internal

Deciphering CT texture features of human visceral fat to evaluate metabolic disorders and surgery-induced weight loss effects

Juan Shi et al.

Summary: Texture features of VAT, extracted from CT scans and analyzed with machine learning, can predict metabolic disorders and estimate surgery-induced weight loss effects. These findings have important implications for understanding the role of visceral adipose tissue in metabolic disorders and surgical interventions.

EBIOMEDICINE (2021)

Review Anesthesiology

Unique Characteristics of the Dorsal Root Ganglion as a Target for Neuromodulation

Michael F. Esposito et al.

PAIN MEDICINE (2019)

Article Radiology, Nuclear Medicine & Medical Imaging

Use of 18F-FDG PET/CT texture analysis to diagnose cardiac sarcoidosis

Osamu Manabe et al.

EUROPEAN JOURNAL OF NUCLEAR MEDICINE AND MOLECULAR IMAGING (2019)

Review Anesthesiology

Inflammation in the pathophysiology of neuropathic pain

Claudia Sommer et al.

Article Radiology, Nuclear Medicine & Medical Imaging

Genotype prediction of ATRX mutation in lower-grade gliomas using an MRI radiomics signature

Yiming Li et al.

EUROPEAN RADIOLOGY (2018)

Review Virology

Clinical Features of Varicella-Zoster Virus Infection

Peter G. E. Kennedy et al.

VIRUSES-BASEL (2018)

Review Radiology, Nuclear Medicine & Medical Imaging

Characterization of PET/CT images using texture analysis: the past, the presenta... any future?

Mathieu Hatt et al.

EUROPEAN JOURNAL OF NUCLEAR MEDICINE AND MOLECULAR IMAGING (2017)

Article Oncology

In vivo molecular profiling of human glioma using diffusion kurtosis imaging

Johann-Martin Hempel et al.

JOURNAL OF NEURO-ONCOLOGY (2017)

Article Oncology

Computational Radiomics System to Decode the Radiographic Phenotype

Joost J. M. van Griethuysen et al.

CANCER RESEARCH (2017)

Article Radiology, Nuclear Medicine & Medical Imaging

Radiomics: Images Are More than Pictures, They Are Data

Robert J. Gillies et al.

RADIOLOGY (2016)

Article Medicine, General & Internal

Postherpetic Neuralgia

Robert W. Johnson et al.

NEW ENGLAND JOURNAL OF MEDICINE (2014)

Article Multidisciplinary Sciences

Decoding tumour phenotype by noninvasive imaging using a quantitative radiomics approach

Hugo J. W. L. Aerts et al.

NATURE COMMUNICATIONS (2014)

Article Oncology

Radiomics: Extracting more information from medical images using advanced feature analysis

Philippe Lambin et al.

EUROPEAN JOURNAL OF CANCER (2012)

Editorial Material Anesthesiology

Mechanisms of postherpetic neuralgia - We are hot on the scent

Ralf Baron

Article Neurosciences

Chronic varicella-zoster virus ganglionitis - a possible cause of postherpetic neuralgia

DH Gilden et al.

JOURNAL OF NEUROVIROLOGY (2003)