An integrative non-invasive malignant brain tumors classification and Ki-67 labeling index prediction pipeline with radiomics approach

Radiomics for precision medicine in glioblastoma

(2022) Kiran Aftab et al.   JOURNAL OF NEURO-ONCOLOGY

Perfusion Parameter Obtained on 3-Tesla Magnetic Resonance Imaging and the Ki-67 Labeling Index Predict the Overall Survival of Glioblastoma

(2021) Hirotaka Fudaba et al.   World Neurosurgery

Ki-67 labeling index and Knosp classification of pituitary adenomas

(2021) Li Yuhan et al.   BRITISH JOURNAL OF NEUROSURGERY

Radiomics-based differentiation between glioblastoma and primary central nervous system lymphoma: a comparison of diagnostic performance across different MRI sequences and machine learning techniques

(2021) Girish Bathla et al.   EUROPEAN RADIOLOGY

Value of KI-67/MIB-1 labeling index and simpson grading system to predict the recurrence of who grade I intracranial meningiomas compared to who grade II

(2021) Ricardo Prat-Acín et al.   JOURNAL OF CLINICAL NEUROSCIENCE

PathoNet introduced as a deep neural network backend for evaluation of Ki-67 and tumor-infiltrating lymphocytes in breast cancer

(2021) Farzin Negahbani et al.   Scientific Reports

A radiomics-based model to differentiate glioblastoma from solitary brain metastases

(2021) C.-Q. Su et al.   CLINICAL RADIOLOGY

Imaging Advances for Central Nervous System Tumors

(2021) Raymond Y. Huang et al.   HEMATOLOGY-ONCOLOGY CLINICS OF NORTH AMERICA

The 2021 WHO Classification of Tumors of the Central Nervous System: a summary

(2021) David N Louis et al.   NEURO-ONCOLOGY

Radiomic Based Machine Learning Performance for a Three Class Problem in Neuro-Oncology: Time to Test the Waters?

(2021) Sarv Priya et al.   Cancers

A Novel Classification of Glioma Subgroup, Which Is Highly Correlated With the Clinical Characteristics and Tumor Tissue Characteristics, Based on the Expression Levels of Gβ and Gγ Genes

(2021) Zehao Cai et al.   Frontiers in Oncology

CBTRUS Statistical Report: Primary Brain and Other Central Nervous System Tumors Diagnosed in the United States in 2014–2018

(2021) Quinn T Ostrom et al.   NEURO-ONCOLOGY

Current Advances and Challenges in Radiomics of Brain Tumors

(2021) Zhenjie Yi et al.   Frontiers in Oncology

Clinical applications of artificial intelligence and radiomics in neuro-oncology imaging

(2021) Ahmed Abdel Khalek Abdel Razek et al.   Insights into Imaging

Correlation of dual energy computed tomography electron density measurements with cerebral glioma grade

(2021) Ritwik Chakrabarti et al.   Neuroradiology Journal

High-order radiomics features based on T2 FLAIR MRI predict multiple glioma immunohistochemical features: A more precise and personalized gliomas management

(2020) Jing Li et al.   PLoS One

The Impact of Normalization Approaches to Automatically Detect Radiogenomic Phenotypes Characterizing Breast Cancer Receptors Status

(2020) Rossana Castaldo et al.   Cancers

Radiomic prediction models for the level of Ki-67 and p53 in glioma

(2020) Xiaojun Sun et al.   JOURNAL OF INTERNATIONAL MEDICAL RESEARCH

The Image Biomarker Standardization Initiative: Standardized Quantitative Radiomics for High-Throughput Image-based Phenotyping

(2020) Alex Zwanenburg et al.   RADIOLOGY

Management of glioblastoma: State of the art and future directions

(2020) Aaron C. Tan et al.   CA-A CANCER JOURNAL FOR CLINICIANS

Radiomics in neuro-oncology: Basics, workflow, and applications

(2020) Philipp Lohmann et al.   METHODS

The Ki-67 Proliferation Index as a Marker of Time to Recurrence in Intracranial Meningioma

(2020) Christian Mirian et al.   NEUROSURGERY

Radiomics in radiation oncology—basics, methods, and limitations

(2020) Philipp Lohmann et al.   STRAHLENTHERAPIE UND ONKOLOGIE

Evaluation of First-line Radiosurgery vs Whole-Brain Radiotherapy for Small Cell Lung Cancer Brain Metastases

(2020) Chad G. Rusthoven et al.   JAMA Oncology

Impact of Ki-67 Labeling Index on Prognostic Significance of the Chemotherapy Response Score in Women With Tubo-ovarian Cancer Treated With Neoadjuvant Chemotherapy

(2020) Michelle Heayn et al.   INTERNATIONAL JOURNAL OF GYNECOLOGICAL PATHOLOGY

A risk stratification model for predicting brain metastasis and brain screening benefit in patients with metastatic triple‐negative breast cancer

(2020) Mingxi Lin et al.   Cancer Medicine

Comparison of Radiomics-Based Machine-Learning Classifiers in Diagnosis of Glioblastoma From Primary Central Nervous System Lymphoma

(2020) Chaoyue Chen et al.   Frontiers in Oncology

Machine Learning-Based Radiomics Predicting Tumor Grades and Expression of Multiple Pathologic Biomarkers in Gliomas

(2020) Min Gao et al.   Frontiers in Oncology

Ki-67 Proliferative Activity in the Tumor Margins as a Robust Prognosis Factor in Glioblastoma Patients

(2020) Sonia Tejada et al.   Journal of Neurological Surgery Part A-Central European Neurosurgery

Differentiation between glioblastoma, brain metastasis and subtypes using radiomics analysis

(2019) Moran Artzi et al.   JOURNAL OF MAGNETIC RESONANCE IMAGING

Texture Analysis in Cerebral Gliomas: A Review of the Literature

(2019) N. Soni et al.   AMERICAN JOURNAL OF NEURORADIOLOGY

Machine learning for semi­automated classification of glioblastoma, brain metastasis and central nervous system lymphoma using magnetic resonance advanced imaging

(2019) Nathaniel C. Swinburne et al.   Annals of Translational Medicine

Machine learning-based radiomics strategy for prediction of cell proliferation in non-small cell lung cancer

(2019) Qianbiao Gu et al.   EUROPEAN JOURNAL OF RADIOLOGY

Diffuse midline glioma with an H3 K27M mutation: A comparison integrating the clinical, radiological, molecular features between adult and pediatric patients

(2019) Haihui Jiang et al.   NEURO-ONCOLOGY

A New Approach for Brain Tumor Segmentation and Classification Based on Score Level Fusion Using Transfer Learning

(2019) Javeria Amin et al.   JOURNAL OF MEDICAL SYSTEMS

Impact of pathological features of brain metastases in prognosis

(2018) Carlos A Castaneda et al.   Biomarkers in Medicine

Distinguishing True Progression from Radionecrosis after Stereotactic Radiotherapy for Brain Metastases with Machine Learning and Radiomics

(2018) Luke Peng et al.   INTERNATIONAL JOURNAL OF RADIATION ONCOLOGY BIOLOGY PHYSICS

Radiomics strategy for glioma grading using texture features from multiparametric MRI

(2018) Qiang Tian et al.   JOURNAL OF MAGNETIC RESONANCE IMAGING

Radiomic MRI Phenotyping of Glioblastoma: Improving Survival Prediction

(2018) Sohi Bae et al.   RADIOLOGY

A new rectangular window based image cropping method for generalization of brain neoplasm classification systems

(2017) Razia Zia et al.   INTERNATIONAL JOURNAL OF IMAGING SYSTEMS AND TECHNOLOGY

Radiomic subtyping improves disease stratification beyond key molecular, clinical, and standard imaging characteristics in patients with glioblastoma

(2017) Philipp Kickingereder et al.   NEURO-ONCOLOGY

Brain Tumors and Metastases

(2017) Mary M. Vargo   Physical Medicine and Rehabilitation Clinics of North America

Immunohistochemistry on IDH 1/2, ATRX, p53 and Ki-67 substitute molecular genetic testing and predict patient prognosis in grade III adult diffuse gliomas

(2016) Shingo Takano et al.   Brain Tumor Pathology

Complications Following Stereotactic Needle Biopsy of Intracranial Tumors

(2015) Hani Malone et al.   World Neurosurgery

Ki-67 as a prognostic molecular marker in routine clinical use in breast cancer patients

(2009) Folkward G. Wiesner et al.   BREAST