Cargando…

Assessment of Response to Chemotherapy in Pancreatic Cancer with Liver Metastasis: CT Texture as a Predictive Biomarker

In this paper, we assess changes in CT texture of metastatic liver lesions after treatment with chemotherapy in patients with pancreatic cancer and determine if texture parameters correlate with measured time to progression (TTP). This retrospective study included 110 patients with pancreatic cancer...

Descripción completa

Detalles Bibliográficos
Autores principales:	Cheng, Sihang, Jin, Zhengyu, Xue, Huadan
Formato:	Online Artículo Texto
Lenguaje:	English
Publicado:	MDPI 2021
Materias:	Article
Acceso en línea:	https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8700536/ https://www.ncbi.nlm.nih.gov/pubmed/34943489 http://dx.doi.org/10.3390/diagnostics11122252

Ejemplares similares

CT texture analysis predicts abdominal aortic aneurysm post-endovascular aortic aneurysm repair progression
por: Ding, Ning, et al.
Publicado: (2020)

CT Imaging Biomarkers Predict Clinical Outcomes After Pancreatic Cancer Surgery
por: Zhu, Liang, et al.
Publicado: (2016)

Development of a Prognostic Nomogram in Hepatocellular Carcinoma with Portal Vein Tumor Thrombus Following Trans-Arterial Chemoembolization with Drug-Eluting Beads
por: Cheng, Sihang, et al.
Publicado: (2021)

Role of CT texture features for predicting outcome of pancreatic cancer patients with liver metastases
por: Hang, Junjie, et al.
Publicado: (2021)

A nomogram based on CT texture features to predict the response of patients with advanced pancreatic cancer treated with chemotherapy
por: Li, Jingjing, et al.
Publicado: (2023)

A novel approach to monitoring the efficacy of anti-tumor treatments in animal models: combining functional MRI and texture analysis
por: Meng, Ming, et al.
Publicado: (2018)

The appropriate position of radiology in COVID-19 diagnosis and treatment—current status and opinion from China
por: Xue, Huadan, et al.
Publicado: (2020)

CT texture analysis: a potential tool for predicting the Fuhrman grade of clear-cell renal carcinoma
por: Feng, Zhan, et al.
Publicado: (2019)

Preoperative CT texture features predict prognosis after curative resection in pancreatic cancer
por: Kim, Hyung Sun, et al.
Publicado: (2019)

The value of enhanced CT features and texture-signatures in assessing the inflammatory infiltration of pancreatic ductal adenocarcinoma
por: Wang, Fangqing, et al.
Publicado: (2023)

Liver Tumor Burden in Pancreatic Neuroendocrine Tumors: CT Features and Texture Analysis in the Prediction of Tumor Grade and (18)F-FDG Uptake
por: Beleù, Alessandro, et al.
Publicado: (2020)

Feasibility of Low-Dose Contrast Medium High Pitch CT Angiography for the Combined Evaluation of Coronary, Head and Neck Arteries
por: Wang, Zhiwei, et al.
Publicado: (2014)

CT textural analysis of gastric cancer: correlations with immunohistochemical biomarkers
por: Liu, Shunli, et al.
Publicado: (2018)

Differentiation of atypical pancreatic neuroendocrine tumors from pancreatic ductal adenocarcinomas: Using whole‐tumor CT texture analysis as quantitative biomarkers
por: Li, Jiali, et al.
Publicado: (2018)

CT Enhancement and 3D Texture Analysis of Pancreatic Neuroendocrine Neoplasms
por: D’Onofrio, Mirko, et al.
Publicado: (2019)

Assessment of Primary Colorectal Cancer CT Radiomics to Predict Metachronous Liver Metastasis
por: Li, Yue, et al.
Publicado: (2022)

Differentiation between Pancreatic Ductal Adenocarcinoma and Normal Pancreatic Tissue for Treatment Response Assessment using Multi-Scale Texture Analysis of CT Images
por: Mahmoudi, Tahereh, et al.
Publicado: (2022)

Optical magnetic multimodality imaging of plectin-1-targeted imaging agent for the precise detection of orthotopic pancreatic ductal adenocarcinoma in mice
por: Zhang, Wenjia, et al.
Publicado: (2022)

Prediction of chemotherapy response in breast cancer patients at pre-treatment using second derivative texture of CT images and machine learning
por: Moghadas-Dastjerdi, Hadi, et al.
Publicado: (2021)

Can the computed tomography texture analysis of colorectal liver metastases predict the response to first-line cytotoxic chemotherapy?
por: Rabe, Etienne, et al.
Publicado: (2022)

Computed tomography texture analysis for assessment of chemotherapy response of Hodgkin lymphoma
por: Reinert, Christian Philipp, et al.
Publicado: (2020)

Quick evaluation of lower leg ischemia in patients with peripheral arterial disease by time maximum intensity projection CT angiography: a pilot study
por: Zhang, Daming, et al.
Publicado: (2021)

Liver-Metastasis-Related Genes are Potential Biomarkers for Predicting the Clinical Outcomes of Patients with Pancreatic Adenocarcinoma
por: Dong, Yinlei, et al.
Publicado: (2021)

Image quality comparison of lower extremity CTA between CT routine reconstruction algorithms and deep learning reconstruction
por: Zhang, Daming, et al.
Publicado: (2023)

Circulating Biomarkers for Prediction of Objective Response to Chemotherapy in Pancreatic Cancer Patients
por: van der Sijde, Fleur, et al.
Publicado: (2019)

Application of CT texture analysis to assess the localization of primary aldosteronism
por: Akai, Hiroyuki, et al.
Publicado: (2020)

Practical nomogram based on comprehensive CT texture analysis to preoperatively predict peritoneal occult metastasis of gastric cancer patients
por: Chen, Shuxiang, et al.
Publicado: (2022)

The differentiation of pancreatic neuroendocrine carcinoma from pancreatic ductal adenocarcinoma: the values of CT imaging features and texture analysis
por: Guo, Chuangen, et al.
Publicado: (2018)

Perioperative Chemotherapy for Liver Metastasis of Colorectal Cancer
por: Chan, Gloria, et al.
Publicado: (2020)

Identification of Novel Biomarkers in Pancreatic Tumor Tissue to Predict Response to Neoadjuvant Chemotherapy
por: Sahni, Sumit, et al.
Publicado: (2020)

Textural Analysis as a Predictive Biomarker in Rectal Cancer
por: Alrahawy, Mahmoud, et al.
Publicado: (2022)

Pretreatment CT Texture Parameters as Predictive Biomarkers of Progression-Free Survival in Follicular Lymphoma Treated with Immunochemotherapy and Rituximab Maintenance
por: Durot, Carole, et al.
Publicado: (2023)

CT texture features are associated with overall survival in pancreatic ductal adenocarcinoma – a quantitative analysis
por: Eilaghi, Armin, et al.
Publicado: (2017)

Pancreatic Serous Cystic Neoplasms and Mucinous Cystic Neoplasms: Differential Diagnosis by Combining Imaging Features and Enhanced CT Texture Analysis
por: Chen, Hai-Yan, et al.
Publicado: (2021)

Evaluation of circulating tumor DNA as a biomarker in pancreatic cancer with liver metastasis
por: Uesato, Yasunori, et al.
Publicado: (2020)

Assessment of Clinical Stage IA Lung Adenocarcinoma with pN1/N2 Metastasis Using CT Quantitative Texture Analysis
por: Zhu, Haixu, et al.
Publicado: (2020)

CT Texture analysis and CT scores for characterization of fluid collections
por: Meyer, Hans-Jonas, et al.
Publicado: (2021)

Texture Features of Computed Tomography Image under the Artificial Intelligence Algorithm and Its Predictive Value for Colorectal Liver Metastasis
por: Sun, Derong, et al.
Publicado: (2022)

PD-1 blockade in combination with zoledronic acid to enhance the antitumor efficacy in the breast cancer mouse model
por: Li, Yuan, et al.
Publicado: (2018)

Evaluation of Texture Analysis for the Differential Diagnosis of Mass-Forming Pancreatitis From Pancreatic Ductal Adenocarcinoma on Contrast-Enhanced CT Images
por: Ren, Shuai, et al.
Publicado: (2019)

Cannot write session to /tmp/vufind_sessions/sess_bcomdbhb35mp7iu2kc53a0pse9