24 Result(s)

Article

MNMST: topology of cell networks leverages identification of spatial domains from spatial transcriptomics data

Advances in spatial transcriptomics provide an unprecedented opportunity to reveal the structure and function of biology systems. However, current algorithms fail to address the heterogeneity and interpretabil...

Yu Wang, Zaiyi Liu, **aoke Ma in Genome Biology (2024)

Article

Development of a machine learning-based radiomics signature for estimating breast cancer TME phenotypes and predicting anti-PD-1/PD-L1 immunotherapy response

Since breast cancer patients respond diversely to immunotherapy, there is an urgent need to explore novel biomarkers to precisely predict clinical responses and enhance therapeutic efficacy. The purpose of our...

**aorui Han, Yuan Guo, Huifen Ye, Zhihong Chen, Qingru Hu… in Breast Cancer Research (2024)

Article

Large-scale pancreatic cancer detection via non-contrast CT and deep learning

Pancreatic ductal adenocarcinoma (PDAC), the most deadly solid malignancy, is typically detected late and at an inoperable stage. Early or incidental detection is associated with prolonged survival, but screen...

Kai Cao, Yingda **a, Jiawen Yao, Xu Han, Lukas Lambert, Tingting Zhang… in Nature Medicine (2023)

Article

An artificial intelligence-based ecological index for prognostic evaluation of colorectal cancer

In the tumor microenvironment (TME), the dynamic interaction between tumor cells and immune cells plays a critical role in predicting the prognosis of colorectal cancer. This study introduces a novel approach ...

Qicong Chen, Ming Cai, **njuan Fan, Wenbin Liu, Gang Fang, Su Yao, Yao Xu… in BMC Cancer (2023)

Article

Sub-minute acquisition with deep learning-based image filter in the diagnosis of colorectal cancers using total-body ¹⁸F-FDG PET/CT

This study aimed to retrospectively evaluate the feasibility of total-body ¹⁸F-FDG PET/CT ultrafast acquisition combined with a deep learning (DL) image filter in the diagnosis of colorectal cancers (CRCs).

Entao Liu, Zejian Lyu, Yuelong Yang, Yang Lv, Yumo Zhao, **aochun Zhang… in EJNMMI Research (2023)

Article

Author Correction: Chinese expert recommendation of scanning protocol and clinical application of magnetic resonance cholangiopancreatography

Huadan Xue, Ming He, Zaiyi Liu, **nming Zhao… in Chinese Journal of Academic Radiology (2023)

Article

Necrosis score as a prognostic factor in stage I–III colorectal cancer: a retrospective multicenter study

Tumor necrosis results from failure to meet the requirement for rapid proliferation of tumor, related to unfavorable prognosis in colorectal cancer (CRC). However, previous studies used traditional microscopes...

Huifen Ye, Yiting Wang, Su Yao, Zaiyi Liu, Changhong Liang, Yaxi Zhu… in Discover Oncology (2023)

Article

Multi-scale pathology image texture signature is a prognostic factor for resectable lung adenocarcinoma: a multi-center, retrospective study

Tumor histomorphology analysis plays a crucial role in predicting the prognosis of resectable lung adenocarcinoma (LUAD). Computer-extracted image texture features have been previously shown to be correlated w...

Yumeng Wang, **peng Pan, Huan Lin, Chu Han, Yajun An… in Journal of Translational Medicine (2022)

Article

Correction to: MRI characteristics of breast edema for assessing axillary lymph node burden in early-stage breast cancer: a retrospective bicentric study

Zeyan Xu, Yingying Ding, Ke Zhao, Chu Han, Zhenwei Shi, Yanfen Cui… in European Radiology (2022)

Article

An integrated deep learning model for the prediction of pathological complete response to neoadjuvant chemotherapy with serial ultrasonography in breast cancer patients: a multicentre, retrospective study

The biological phenotype of tumours evolves during neoadjuvant chemotherapy (NAC). Accurate prediction of pathological complete response (pCR) to NAC in the early-stage or posttreatment can optimize treatment ...

Lei Wu, Weitao Ye, Yu Liu, Dong Chen, Yuxiang Wang, Yanfen Cui… in Breast Cancer Research (2022)

Article

Artificial intelligence for quantifying immune infiltrates interacting with stroma in colorectal cancer

We proposed an artificial intelligence-based immune index, Deep-immune score, quantifying the infiltration of immune cells interacting with the tumor stroma in hematoxylin and eosin-stained whole-slide images ...

**g Yang, Huifen Ye, **njuan Fan, Yajun Li… in Journal of Translational Medicine (2022)

Article

Preoperative serum CA19-9 should be routinely measured in the colorectal patients with preoperative normal serum CEA: a multicenter retrospective cohort study

Whether preoperative serum carbohydrate antigen 19–9 (CA19-9) is an independent prognostic factor and there are interactions of serum CA19-9 with carcinoembryonic antigen (CEA) on the risk of recurrence in col...

Zhenhui Li, Haibin Zhu, **aolin Pang, Yun Mao, ** Yi, Chunxia Li… in BMC Cancer (2022)

Article

Methodological quality of machine learning-based quantitative imaging analysis studies in esophageal cancer: a systematic review of clinical outcome prediction after concurrent chemoradiotherapy

Studies based on machine learning-based quantitative imaging techniques have gained much interest in cancer research. The aim of this review is to critically appraise the existing machine learning-based quanti...

Zhenwei Shi, Zhen Zhang, Zaiyi Liu… in European Journal of Nuclear Medicine and M… (2022)

Article

Automated whole-slide images assessment of immune infiltration in resected non-small-cell lung cancer: towards better risk-stratification

High immune infiltration is associated with favourable prognosis in patients with non-small-cell lung cancer (NSCLC), but an automated workflow for characterizing immune infiltration, with high validity and re...

Huan Lin, **peng Pan, Zhengyun Feng, Lixu Yan… in Journal of Translational Medicine (2022)

Article

A deep learning quantified stroma-immune score to predict survival of patients with stage II–III colorectal cancer

Profound heterogeneity in prognosis has been observed in colorectal cancer (CRC) patients with intermediate levels of disease (stage II–III), advocating the identification of valuable biomarkers that could imp...

Zeyan Xu, Yong Li, Yingyi Wang, Shenyan Zhang, Yanqi Huang… in Cancer Cell International (2021)

Article

Annotation-efficient deep learning for automatic medical image segmentation

Automatic medical image segmentation plays a critical role in scientific research and medical care. Existing high-performance deep learning methods typically rely on large training datasets with high-quality m...

Shanshan Wang, Cheng Li, Rongpin Wang, Zaiyi Liu, Meiyun Wang… in Nature Communications (2021)

Article

The value of the tumour-stroma ratio for predicting neoadjuvant chemoradiotherapy response in locally advanced rectal cancer: a case control study

The tumour-stroma ratio (TSR) is recognized as a practical prognostic factor in colorectal cancer. However, TSR assessment generally utilizes surgical specimens. This study aims to investigate whether the TSR ...

Yanting Liang, Yaxi Zhu, Huan Lin, Shenyan Zhang, Suyun Li, Yanqi Huang… in BMC Cancer (2021)

Article

Progress and prospect on imaging diagnosis of COVID-19

COVID-19 has become a public health emergency due to its rapid transmission. The appearance of pneumonia is one of the major clues for the diagnosis, progress and therapeutic evaluation. More and more literatu...

Li Fan, Dong Li, Huadan Xue, Longjiang Zhang… in Chinese Journal of Academic Radiology (2020)

Article

Multiple network algorithm for epigenetic modules via the integration of genome-wide DNA methylation and gene expression data

With the increase in the amount of DNA methylation and gene expression data, the epigenetic mechanisms of cancers can be extensively investigate. Available methods integrate the DNA methylation and gene expres...

**aoke Ma, Zaiyi Liu, Zhongyuan Zhang, **aotai Huang, Wanxin Tang in BMC Bioinformatics (2017)

Article

Non-small cell lung cancer: quantitative phenotypic analysis of CT images as a potential marker of prognosis

This was a retrospective study to investigate the predictive and prognostic ability of quantitative computed tomography phenotypic features in patients with non-small cell lung cancer (NSCLC). 661 patients wit...

Jiangdian Song, Zaiyi Liu, Wenzhao Zhong, Yanqi Huang, Zelan Ma… in Scientific Reports (2016)