Cargando…

Deep learning quantified mucus-tumor ratio predicting survival of patients with colorectal cancer using whole-slide images

BACKGROUND: In colorectal cancer (CRC), mucinous adenocarcinoma differs from other adenocarcinomas in gene-phenotype, morphology, and prognosis. However, mucinous components are present in a large number of adenocarcinomas, and the prognostic value of mucus proportion has not been investigated. Arti...

Descripción completa

Detalles Bibliográficos
Autores principales:	Zhao, Ke, Wu, Lin, Huang, Yanqi, Yao, Su, Xu, Zeyan, Lin, Huan, Wang, Huihui, Liang, Yanting, Xu, Yao, Chen, Xin, Zhao, Minning, Peng, Jiaming, Huang, Yuli, Liang, Changhong, Li, Zhenhui, Li, Yong, Liu, Zaiyi
Formato:	Online Artículo Texto
Lenguaje:	English
Publicado:	Oxford University Press 2021
Materias:	Research Article
Acceso en línea:	https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8982603/ https://www.ncbi.nlm.nih.gov/pubmed/35693123 http://dx.doi.org/10.1093/pcmedi/pbab002

Ejemplares similares

Artificial intelligence quantified tumour-stroma ratio is an independent predictor for overall survival in resectable colorectal cancer
por: Zhao, Ke, et al.
Publicado: (2020)

Hist-Immune signature: a prognostic factor in colorectal cancer using immunohistochemical slide image analysis
por: Zhao, Ke, et al.
Publicado: (2020)

Predicting Neoadjuvant Chemoradiotherapy Response in Locally Advanced Rectal Cancer Using Tumor-Infiltrating Lymphocytes Density
por: Xu, Yao, et al.
Publicado: (2021)

A deep learning quantified stroma-immune score to predict survival of patients with stage II–III colorectal cancer
por: Xu, Zeyan, et al.
Publicado: (2021)

Prognostic value of a modified Immunoscore in patients with stage I−III resectable colon cancer
por: Zhao, Ke, et al.
Publicado: (2021)

The value of the tumour-stroma ratio for predicting neoadjuvant chemoradiotherapy response in locally advanced rectal cancer: a case control study
por: Liang, Yanting, et al.
Publicado: (2021)

Automated whole-slide images assessment of immune infiltration in resected non-small-cell lung cancer: towards better risk-stratification
por: Lin, Huan, et al.
Publicado: (2022)

Artificial intelligence for quantifying immune infiltrates interacting with stroma in colorectal cancer
por: Yang, Jing, et al.
Publicado: (2022)

Combining quantitative and qualitative magnetic resonance imaging features to differentiate anorectal malignant melanoma from low rectal cancer
por: Xu, Zeyan, et al.
Publicado: (2021)

Predicting treatment response to neoadjuvant chemoradiotherapy in local advanced rectal cancer by biopsy digital pathology image features
por: Zhang, Fang, et al.
Publicado: (2020)

Development and Validation of an Immune-Based Prognostic Risk Score for Patients With Resected Non-Small Cell Lung Cancer
por: He, Lan, et al.
Publicado: (2022)

A radiomics prognostic scoring system for predicting progression-free survival in patients with stage IV non-small cell lung cancer treated with platinum-based chemotherapy
por: He, Lan, et al.
Publicado: (2021)

The value of magnetic resonance imaging-based tumor shape features for assessing microsatellite instability status in endometrial cancer
por: Wang, Huihui, et al.
Publicado: (2022)

Artificial intelligence for quantifying Crohn’s-like lymphoid reaction and tumor-infiltrating lymphocytes in colorectal cancer
por: Xu, Yao, et al.
Publicado: (2022)

Coupling radiomics analysis of CT image with diversification of tumor ecosystem: A new insight to overall survival in stage I−III colorectal cancer
por: Huang, Yanqi, et al.
Publicado: (2022)

Spleen Radiomics Signature: A Potential Biomarker for Prediction of Early and Late Recurrences of Hepatocellular Carcinoma After Resection
por: Li, Pinxiong, et al.
Publicado: (2021)

Effects of contrast-enhancement, reconstruction slice thickness and convolution kernel on the diagnostic performance of radiomics signature in solitary pulmonary nodule
por: He, Lan, et al.
Publicado: (2016)

Computerized tumor-infiltrating lymphocytes density score predicts survival of patients with resectable lung adenocarcinoma
por: Pan, Xipeng, et al.
Publicado: (2022)

Radiomics-based predictive risk score: A scoring system for preoperatively predicting risk of lymph node metastasis in patients with resectable non-small cell lung cancer
por: He, Lan, et al.
Publicado: (2019)

MR diffusion-weighted imaging-based subcutaneous tumour volumetry in a xenografted nude mouse model using 3D Slicer: an accurate and repeatable method
por: Ma, Zelan, et al.
Publicado: (2015)

Histopathological Tissue Segmentation of Lung Cancer with Bilinear CNN and Soft Attention
por: Xu, Rui, et al.
Publicado: (2022)

L-distance ratio: a new distance ratio-based evaluation method for the diagnosis of cirrhosis using enhanced computed tomography
por: Ye, Huifen, et al.
Publicado: (2023)

Non-small cell lung cancer: quantitative phenotypic analysis of CT images as a potential marker of prognosis
por: Song, Jiangdian, et al.
Publicado: (2016)

The development and validation of a CT-based radiomics signature for the preoperative discrimination of stage I-II and stage III-IV colorectal cancer
por: Liang, Cuishan, et al.
Publicado: (2016)

Evaluation of human epidermal growth factor receptor 2 status of breast cancer using preoperative multidetector computed tomography with deep learning and handcrafted radiomics features
por: Yang, Xiaojun, et al.
Publicado: (2020)

Quantifying and correcting slide-to-slide variation in multiplexed immunofluorescence images
por: Harris, Coleman R, et al.
Publicado: (2022)

Artificial intelligence-assisted analysis for tumor-immune interaction within the invasive margin of colorectal cancer
por: Ye, Yunrui, et al.
Publicado: (2023)

Homogeneous-resolution photoacoustic microscopy for ultrawide field-of-view neurovascular imaging in Alzheimer's disease
por: Guo, Ting, et al.
Publicado: (2023)

Multi-scale pathology image texture signature is a prognostic factor for resectable lung adenocarcinoma: a multi-center, retrospective study
por: Wang, Yumeng, et al.
Publicado: (2022)

Biochemical and rheological analysis of human colonic culture mucus reveals similarity to gut mucus
por: Howard, R. Logan, et al.
Publicado: (2021)

Development and validation of a CT-based radiomics nomogram for preoperative prediction of tumor histologic grade in gastric adenocarcinoma
por: Huang, Jia, et al.
Publicado: (2021)

Necrosis score as a prognostic factor in stage I–III colorectal cancer: a retrospective multicenter study
por: Ye, Huifen, et al.
Publicado: (2023)

Validation of Breast Cancer Models for Predicting the Nonsentinel Lymph Node Metastasis After a Positive Sentinel Lymph Node Biopsy in a Chinese Population
por: Wu, Peiqi, et al.
Publicado: (2018)

Compositional changes and ecological characteristics of earthworm mucus under different electrical stimuli
por: Huan, Huihui, et al.
Publicado: (2023)

Low-Cost and Rapid Method of DNA Extraction from Scaled Fish Blood and Skin Mucus
por: Gui, Lang, et al.
Publicado: (2022)

A CT-based radiomics nomogram for prediction of human epidermal growth factor receptor 2 status in patients with gastric cancer
por: Li, Yexing, et al.
Publicado: (2020)

Feature-Rich Magnetic Quantization in Sliding Bilayer Graphenes
por: Huang, Yao-Kung, et al.
Publicado: (2014)

Abnormal Airway Mucus Secretion Induced by Virus Infection
por: Li, Yao, et al.
Publicado: (2021)

Mucus Hypersecretion and Ciliary Impairment in Conducting Airway Contribute to Alveolar Mucus Plugging in Idiopathic Pulmonary Fibrosis
por: Peng, Yang, et al.
Publicado: (2022)

Histological Grade and Magnetic Resonance Imaging Quantitative T1rho/T2 Mapping in Osteoarthritis of the Knee: A Study in 20 Patients
por: Lin, Zhaowei, et al.
Publicado: (2019)

Cannot write session to /tmp/vufind_sessions/sess_1sed9lju6lmo3muppti0jhal4n