Lian Yang

Association of AI-derived abdominal organ volumetry with postoperative outcomes in clear cell renal cell carcinoma: a multicentre study

Jie Lou, Yi Ren, Bingxin Gong, Yusheng Guo et autres

BACKGROUND: CT-derived body composition parameters are associated with clinical outcomes in clear cell renal cell carcinoma (ccRCC), but the prognostic value of abdominal solid organ volumes remains unclear. METHODS: In this multicentre study, 1,720 patients with ccRCC who underwent nephrectomy across four …

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Development of multiphasic CT-based delta-radiomics model for predicting postoperative recurrence risk in bladder cancer

Weiwei Liu, Bingxin Gong, Guilin Zhang, Yusheng Guo et autres

BACKGROUND: This study aimed to develop a CT-based delta-radiomics model for personalized prediction of postoperative prognosis in bladder cancer patients and identification of differentially expressed genes associated with tumour recurrence. MATERIALS AND METHODS: This retrospective study included 316 patients with bladder cancer …

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POU2F1 drives cholesterol biosynthesis and lipid remodeling through the DHCR24/ELOVL2 axis in endometrial cancer

Zihui Zhang, Feifei Yuan, Lian Yang, Wei Zhang et autres

Endometrial cancer (EC) is characterized by metabolic reprogramming, with cholesterol biosynthesis playing a critical role. However, the upstream transcriptional regulation of this process requires further elucidation. In this study, we identified POU2F1 as a key oncogenic transcription factor that drives cholesterol biosynthesis …

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Hypoxia-related and immune phenotype-related fusion model for non-invasive prognostication of hepatocellular carcinoma treated by TACE: a multicentre study

Yusheng Guo, Guilin Zhang, Xiaona Fu, Sha Jiang et autres

BACKGROUND: Survival outcomes after transarterial chemoembolisation (TACE) vary in hepatocellular carcinoma (HCC) patients, and existing prognostic scores and imaging models often lack generalisability and biological interpretability. OBJECTIVE: To develop and validate a multimodal prognostication model for HCC that allows for a precise …

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Optimizing recurrence prediction and risk stratification in prostate cancer using a 2.5D deep learning model: a multicenter MRI-based study

Li Fan, Ruishan Liu, Pei Wang, Yue Lv et autres

BACKGROUND: High tumor recurrence after surgery remains a significant challenge in managing prostate cancer (PCa). We aimed to develop and validate a 2.5D deep learning model based on a transformer architecture utilizing T2WI, ADC, DWI, and CE-T1WI images for the preoperative prediction …

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Deep learning-enhanced super-resolution diffusion-weighted liver MRI: improved image quality, diagnostic performance, and acceleration

Dan Zhao, Xiangchuang Kong, Kun Yang, Jiayu Wan et autres

Abstract Objectives To investigate the impact of deep learning reconstruction (DLR) on the image quality of diffusion-weighted imaging (DWI) for liver and its ability to differentiate benign from malignant focal liver lesions (FLLs). Materials and methods Consecutive patients with suspected liver disease …

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The crossroads of inflammation and nutrition: predicting neoadjuvant immunochemotherapy efficacy in esophageal squamous cell carcinoma patients

Guisheng Zhang, Bingxin Gong, Yusheng Guo, Jie Lou et autres

Background Neoadjuvant immunochemotherapy (nICT) improves outcomes in esophageal squamous cell carcinoma (ESCC); however, patient response heterogeneity limits its clinical benefit. The aim of this study was to investigate the predictive value of the systemic immune-inflammation index and prognostic nutritional index score (SII-PNI …

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Mediation and prognostic value of apparent diffusion coefficient in HCC patients receiving immune checkpoint inhibitors

Xiaona Fu, Yusheng Guo, Yanjie Yang, Shanshan Jiang et autres

OBJECTIVES: The study investigated the potential association between tumor size and inflammation from the standpoint of apparent diffusion coefficient (ADC) and the prognostic significance of ADC in hepatocellular carcinoma (HCC) patients treated with immune checkpoint inhibitors (ICIs). MATERIALS AND METHODS: This retrospective …

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End-to-end deep learning model for the diagnosis and segmentation of primary retroperitoneal neoplasm: a multicenter cohort study

Xiang Feng, Qianwen Zhang, Yue Yang, He Huang et autres

Background: Primary retroperitoneal neoplasms (PRNs) are a diverse group of tumors that pose significant diagnostic challenges. Currently, no multicenter-validated diagnostic model exists for multiple PRN types based on computed tomography (CT) images. This study aimed to develop and validate an end-to-end deep …

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A Combined Model Based on Bone Mineral Density for Noninvasive Prediction of Prognosis in Non‐Small Cell Lung Cancer Patients Receiving Immune Checkpoint Inhibitors: A Multicenter Retrospective Study

Bingxin Gong, Yusheng Guo, Qi Wan, Jie Lou et autres

ABSTRACT The prognostic value of baseline bone mineral density (BMD) and posttreatment BMD decrease (BMDD) in non‐small cell lung cancer (NSCLC) patients receiving immune checkpoint inhibitor (ICI) treatment remains unclear. We assembled data of 2096 patients with advanced NSCLC from five institutions …

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Efficacy of photodynamic therapy with various photosensitizers for peri-implantitis treatment: a systematic review and meta-analysis of randomized clinical trials

Xin Li, Hang Liu, Lian Yang, Y. Y. Ji et autres

To systematically evaluate the efficacy of photodynamic therapy in treating peri-implantitis and compare the effectiveness of various photosensitizers based on randomized clinical trials. A systematic review and meta-analysis were performed following Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) guidelines, incorporating …

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The lung immune prognostic index stratifies the occurrence of checkpoint inhibitor pneumonitis in advanced non-small cell lung cancer patients: a multi-institutional cohort study

Bingxin Gong, Yusheng Guo, Qi Wan, Jie Lou et autres

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