Cargando…

Nomogram based on MRI can preoperatively predict brain invasion in meningioma

Predicting brain invasion preoperatively should help to guide surgical decision-making and aid the prediction of meningioma grading and prognosis. However, only a few imaging features have been identified to aid prediction. This study aimed to develop and validate an MRI-based nomogram to predict br...

Descripción completa

Detalles Bibliográficos
Autores principales:	Zhang, Jing, Cao, Yuntai, Zhang, Guojin, Zhao, Zhiyong, Sun, Jianqing, Li, Wenyi, Ren, Jialiang, Han, Tao, Zhou, Junlin, Chen, Kuntao
Formato:	Online Artículo Texto
Lenguaje:	English
Publicado:	Springer Berlin Heidelberg 2022
Materias:	Research
Acceso en línea:	https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9663361/ https://www.ncbi.nlm.nih.gov/pubmed/36180806 http://dx.doi.org/10.1007/s10143-022-01872-7

Ejemplares similares

A Magnetic Resonance Imaging-Based Radiomic Model for the Noninvasive Preoperative Differentiation Between Transitional and Atypical Meningiomas
por: Zhang, Jing, et al.
Publicado: (2022)

A radiomics model enables prediction venous sinus invasion in meningioma
por: Wang, Limei, et al.
Publicado: (2023)

A radiomics model for preoperative prediction of brain invasion in meningioma non-invasively based on MRI: A multicentre study
por: Zhang, Jing, et al.
Publicado: (2020)

Nomogram based on preoperative CT imaging predicts the EGFR mutation status in lung adenocarcinoma
por: Zhang, Guojin, et al.
Publicado: (2020)

Development of a Nomogram Combining Clinical Risk Factors and Dual-Energy Spectral CT Parameters for the Preoperative Prediction of Lymph Node Metastasis in Patients With Colorectal Cancer
por: Cao, Yuntai, et al.
Publicado: (2021)

Differentiating between non-functioning pituitary macroadenomas and sellar meningiomas using ADC
por: Zhang, Jing, et al.
Publicado: (2020)

Development of a Nomogram Based on 3D CT Radiomics Signature to Predict the Mutation Status of EGFR Molecular Subtypes in Lung Adenocarcinoma: A Multicenter Study
por: Zhang, Guojin, et al.
Publicado: (2022)

Predicting Microsatellite Instability Status in Colorectal Cancer Based on Triphasic Enhanced Computed Tomography Radiomics Signatures: A Multicenter Study
por: Cao, Yuntai, et al.
Publicado: (2021)

Construction of prediction model for KRAS mutation status of colorectal cancer based on CT radiomics
por: Cao, Yuntai, et al.
Publicado: (2023)

The efficacy of preoperative MRI features in the diagnosis of meningioma WHO grade and brain invasion
por: Jiang, Jun, et al.
Publicado: (2023)

Diagnostic nomogram model for predicting preoperative pathological grade of meningioma
por: Peng, Shijun, et al.
Publicado: (2021)

The Benefit of Apparent Diffusion Coefficient in Evaluating the Invasiveness of Hepatocellular Carcinoma
por: Jing, Mengyuan, et al.
Publicado: (2021)

Peritumoral Imaging Manifestations on Gd-EOB-DTPA-Enhanced MRI for Preoperative Prediction of Microvascular Invasion in Hepatocellular Carcinoma: A Systematic Review and Meta-Analysis
por: Wu, Ying, et al.
Publicado: (2022)

Base MRI Imaging Characteristics of Meningioma Patients to Discuss the WHO Classification of Brain Invasion Otherwise Benign Meningiomas
por: Luo, Xiao, et al.
Publicado: (2023)

Prediction of brain invasion in patients with meningiomas using preoperative magnetic resonance imaging
por: Adeli, Alborz, et al.
Publicado: (2018)

Application of MRI-Based Radiomics in Preoperative Prediction of NF2 Alteration in Intracranial Meningiomas
por: Sun, Shuchen, et al.
Publicado: (2022)

Signal Intensities in Preoperative MRI Do Not Reflect Proliferative Activity in Meningioma
por: Schob, Stefan, et al.
Publicado: (2016)

Preoperative Prediction of Intracranial Meningioma Grade Using Conventional CT and MRI
por: Amano, Toshiyuki, et al.
Publicado: (2022)

Preoperative Radiologic Classification of Convexity Meningioma to Predict the Survival and Aggressive Meningioma Behavior
por: Liu, Yi, et al.
Publicado: (2015)

The Potential Value of Preoperative MRI Texture and Shape Analysis in Grading Meningiomas: A Preliminary Investigation
por: Yan, Peng-Fei, et al.
Publicado: (2017)

Nomogram For Preoperative Prediction Of Microvascular Invasion Risk In Hepatocellular Carcinoma
por: Deng, Guangtong, et al.
Publicado: (2019)

The value of whole-volume apparent diffusion coefficient histogram analysis in preoperatively distinguishing intracranial solitary fibrous tumor and transitional meningioma
por: Wang, Gang, et al.
Publicado: (2023)

Nomogram based on clinical characteristics for preoperative prediction of perineural invasion in gastric cancer
por: Liu, Jungang, et al.
Publicado: (2020)

A Non-Invasive Nomogram for Preoperative Prediction of Microvascular Invasion Risk in Hepatocellular Carcinoma
por: Wang, Huanhuan, et al.
Publicado: (2021)

An Updated Nomogram for Predicting Invasiveness in Preoperative Ductal Carcinoma In Situ of the Breast
por: Kim, Sanghwa, et al.
Publicado: (2019)

Nomogram based on MRI for preoperative prediction of Ki-67 expression in patients with intrahepatic mass cholangiocarcinoma
por: Chen, Xiang, et al.
Publicado: (2022)

A preoperative nomogram for sepsis in percutaneous nephrolithotomy treating solitary, unilateral and proximal ureteral stones
por: Xun, Yang, et al.
Publicado: (2020)

A Clinical Semantic and Radiomics Nomogram for Predicting Brain Invasion in WHO Grade II Meningioma Based on Tumor and Tumor-to-Brain Interface Features
por: Li, Ning, et al.
Publicado: (2021)

Preoperative prediction of microvascular invasion in non-metastatic hepatocellular carcinoma based on nomogram analysis
por: Zhang, Chihao, et al.
Publicado: (2020)

Non-Invasive Preoperative Imaging Differential Diagnosis of Intracranial Hemangiopericytoma and Angiomatous Meningioma: A Novel Developed and Validated Multiparametric MRI-Based Clini-Radiomic Model
por: Fan, Yanghua, et al.
Publicado: (2022)

Differentiating angiomatous meningioma from atypical meningioma using histogram analysis of apparent diffusion coefficient maps
por: Liu, Xianwang, et al.
Publicado: (2023)

High resolution MRI-based radiomic nomogram in predicting perineural invasion in rectal cancer
por: Yang, Yan-song, et al.
Publicado: (2021)

Radiomics Analysis of Multiparametric MRI for the Preoperative Prediction of Lymph Node Metastasis in Cervical Cancer
por: Hou, Lina, et al.
Publicado: (2020)

Molecular neuropathology of brain‐invasive meningiomas
por: von Spreckelsen, Niklas, et al.
Publicado: (2022)

Differentiation of retroperitoneal paragangliomas and schwannomas based on computed tomography radiomics
por: Cao, Yuntai, et al.
Publicado: (2023)

Meningioma with ring enhancement on MRI: a rare case report
por: Wang, Miao, et al.
Publicado: (2021)

Development and Validation of a Nomogram for Preoperative Prediction of Perineural Invasion in Colorectal Cancer
por: Huang, Xiaoliang, et al.
Publicado: (2019)

Nomogram for Preoperative Estimation of Orbit Invasion Risk in Periocular Squamous Cell Carcinoma
por: Xie, Minyue, et al.
Publicado: (2020)

Preoperative Prediction of Lymphovascular Space Invasion in Cervical Cancer With Radiomics –Based Nomogram
por: Du, Wei, et al.
Publicado: (2021)

Preoperative nomogram for microvascular invasion prediction based on clinical database in hepatocellular carcinoma
por: Mao, Shuqi, et al.
Publicado: (2021)

Cannot write session to /tmp/vufind_sessions/sess_eungdkpk8b4buv6rfhimkuedv3