Cargando…

Development and validation of MRI-based model for the preoperative prediction of macrotrabecular hepatocellular carcinoma subtype

BACKGROUND: Macrotrabecular hepatocellular carcinoma (MTHCC) has a poor prognosis and is difficult to diagnose preoperatively. The purpose is to build and validate MRI-based models to predict the MTHCC subtype. METHODS: Two hundred eight patients with confirmed HCC were enrolled. Three models (model...

Descripción completa

Detalles Bibliográficos
Autores principales:	Bilal Masokano, Ismail, Pei, Yigang, Chen, Juan, Liu, Wenguang, Xie, Simin, Liu, Huaping, Feng, Deyun, He, Qiongqiong, Li, Wenzheng
Formato:	Online Artículo Texto
Lenguaje:	English
Publicado:	Springer Vienna 2022
Materias:	Original Article
Acceso en línea:	https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9772375/ https://www.ncbi.nlm.nih.gov/pubmed/36544029 http://dx.doi.org/10.1186/s13244-022-01333-1

Ejemplares similares

The application of texture quantification in hepatocellular carcinoma using CT and MRI: a review of perspectives and challenges
por: Masokano, Ismail Bilal, et al.
Publicado: (2020)

Nomogram for the Preoperative Prediction of the Macrotrabecular-Massive Subtype of Hepatocellular Carcinoma
por: Shan, Yuying, et al.
Publicado: (2022)

Preoperative prediction of microvascular invasion of hepatocellular carcinoma with IVIM diffusion-weighted MR imaging and Gd-EOB-DTPA-enhanced MR imaging
por: Zhao, Wei, et al.
Publicado: (2018)

Differentiating the clinical and computed tomography imaging features of mixed epithelial and stromal tumors of the kidney to establish a treatment plan
por: Chen, Juan, et al.
Publicado: (2021)

Comparing Chinese children and adults with RT-PCR positive COVID-19: A systematic review
por: Pei, Yigang, et al.
Publicado: (2020)

Amide proton transfer (APT) and magnetization transfer (MT) in predicting short-term therapeutic outcome in nasopharyngeal carcinoma after chemoradiotherapy: a feasibility study of three-dimensional chemical exchange saturation transfer (CEST) MRI
por: Liu, Wenguang, et al.
Publicado: (2023)

Comparing the clinical utility of single-shot, readout-segmented and zoomit echo-planar imaging in diffusion-weighted imaging of the kidney at 3 T
por: Liu, Wenguang, et al.
Publicado: (2022)

Macrotrabecular-massive subtype-based nomogram to predict early recurrence of hepatocellular carcinoma after surgery
por: Yang, Yong, et al.
Publicado: (2023)

Corona enhancement combined with microvascular invasion for prognosis prediction of macrotrabecular-massive hepatocellular carcinoma subtype
por: Yang, Lili, et al.
Publicado: (2023)

Macrotrabecular-Massive Hepatocellular Carcinoma: What Should We Know?
por: Li, Xiaoming, et al.
Publicado: (2022)

Macrotrabecular-Massive Hepatocellular Carcinoma: Light and Shadow in Current Knowledge
por: Sessa, Anna, et al.
Publicado: (2022)

Recognising the clinically significant macrotrabecular massive variant of hepatocellular carcinoma
por: Seow, Dominique Yuan Bin, et al.
Publicado: (2022)

Tumor metabolism derived from (18)F-FDG PET/CT in predicting the macrotrabecular-massive subtype of hepatocellular carcinoma
por: Hu, Siqi, et al.
Publicado: (2022)

Preoperative prediction of macrotrabecular-massive hepatocellular carcinoma through dynamic contrast-enhanced magnetic resonance imaging-based radiomics
por: Zhang, Yang, et al.
Publicado: (2023)

Preoperative prediction model for macrotrabecular-massive hepatocellular carcinoma based on contrast-enhanced CT and clinical characteristics: a retrospective study
por: He, Chutong, et al.
Publicado: (2023)

Angiomyolipoma of the Adrenal Gland: A Report of Two Cases and Review of the Literature
por: Ghimire, Obin, et al.
Publicado: (2017)

Coexpression of CMTM6 and PD-L1 as a predictor of poor prognosis in macrotrabecular-massive hepatocellular carcinoma
por: Liu, Li-Li, et al.
Publicado: (2020)

Comparison of computed tomography and magnetic resonance imaging findings and histopathological features of macrotrabecular-massive hepatocellular carcinoma
por: Gong, Qishu, et al.
Publicado: (2023)

Loss of plexin-B3 in hepatocellular carcinoma
por: LIU, YUWU, et al.
Publicado: (2015)

Development and validation of MRI-based radiomics signatures as new markers for preoperative assessment of EGFR mutation and subtypes from bone metastases
por: Fan, Ying, et al.
Publicado: (2022)

A Nomogram for Preoperative Estimation of Microvascular Invasion Risk in Hepatocellular Carcinoma: Single-Center Analyses With Internal Validation
por: Yang, Jiarui, et al.
Publicado: (2021)

Deep-learning-based analysis of preoperative MRI predicts microvascular invasion and outcome in hepatocellular carcinoma
por: Sun, Bao-Ye, et al.
Publicado: (2022)

Validated preoperative computed tomography risk estimation for postoperative hepatocellular carcinoma recurrence
por: Zhang, Wei, et al.
Publicado: (2017)

Identification and Validation of Ferroptosis-Related Subtypes and a Predictive Signature in Hepatocellular Carcinoma
por: Zheng, Chunlan, et al.
Publicado: (2023)

Differentiation of hepatocellular adenoma by subtype and hepatocellular carcinoma in non-cirrhotic liver by fractal analysis of perfusion MRI
por: Michallek, Florian, et al.
Publicado: (2022)

MRI-based radiomics model for preoperative prediction of 5-year survival in patients with hepatocellular carcinoma
por: Wang, Xiao-Hang, et al.
Publicado: (2020)

The Identification and Validation of Two Heterogenous Subtypes and a Risk Signature Based on Ferroptosis in Hepatocellular Carcinoma
por: Liu, Zaoqu, et al.
Publicado: (2021)

A preoperative model based on gadobenate-enhanced MRI for predicting microvascular invasion in hepatocellular carcinomas (≤ 5 cm)
por: Zhang, Sisi, et al.
Publicado: (2022)

Preoperative Prediction of Microvascular Invasion in Hepatocellular Carcinoma via Multi-Parametric MRI Radiomics
por: Zhang, Yang, et al.
Publicado: (2021)

Hepatocellular adenomas: is there additional value in using Gd-EOB-enhanced MRI for subtype differentiation?
por: Auer, Timo Alexander, et al.
Publicado: (2020)

A combination of the preoperative neutrophil-to-lymphocyte and lymphocyte-to-monocyte ratios as a useful predictor of survival outcomes following the transarterial chemoembolization of huge hepatocellular carcinoma
por: Liu, Juanfang, et al.
Publicado: (2020)

Development and External Validation of a Radiomics Model Derived from Preoperative Gadoxetic Acid-Enhanced MRI for Predicting Histopathologic Grade of Hepatocellular Carcinoma
por: Hu, Xiaojun, et al.
Publicado: (2023)

Estimating Microvascular Invasion in Patients with Resectable Multinodular Hepatocellular Carcinoma by Using Preoperative Contrast-Enhanced MRI: Establishment and Validation of a Risk Score
por: Wu, Fei, et al.
Publicado: (2023)

Comparison and validation of the prognostic value of preoperative systemic immune cells in hepatocellular carcinoma after curative hepatectomy
por: Liao, Rui, et al.
Publicado: (2018)

Intratumoral and peritumoral radiomics based on contrast-enhanced MRI for preoperatively predicting treatment response of transarterial chemoembolization in hepatocellular carcinoma
por: Zhao, Ying, et al.
Publicado: (2023)

Elaboration of a multimodal MRI-based radiomics signature for the preoperative prediction of the histological subtype in patients with non-small-cell lung cancer
por: Tang, Xing, et al.
Publicado: (2020)

Identifying and validating subtypes of Parkinson's disease based on multimodal MRI data via hierarchical clustering analysis
por: Cao, Kaiqiang, et al.
Publicado: (2022)

Correction to: Hepatocellular adenomas: is there additional value in using Gd-EOB-enhanced MRI for subtype differentiation?
por: Auer, Timo Alexander, et al.
Publicado: (2021)

Establishment and Validation of a Preoperative MRI-based Nomogram for Predicting the Risk of Malignancy in Patients with Breast Tumor
por: Lai, Jianguo, et al.
Publicado: (2021)

Prediction of the Molecular Subtype of IDH Mutation Combined with MGMT Promoter Methylation in Gliomas via Radiomics Based on Preoperative MRI
por: Sha, Yongjian, et al.
Publicado: (2023)

Cannot write session to /tmp/vufind_sessions/sess_toj28lvlm26hd0hjekjeqpvstn