Xiance Jin
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View article: Automatic radiotherapy planning for deliverable plans using deep learning dose prediction and dose rings optimization in cervical cancer
Automatic radiotherapy planning for deliverable plans using deep learning dose prediction and dose rings optimization in cervical cancer Open
Background Automatic radiotherapy (RT) planning based on deep learning (DL) has been extensively researched. However, it is challenging to import the predicted dose distribution into mainstream treatment planning systems (TPSs) and generat…
View article: Integrating deep learning and multi-omics features in radiation pneumonitis prediction for lung cancer patients using PET/CT
Integrating deep learning and multi-omics features in radiation pneumonitis prediction for lung cancer patients using PET/CT Open
Integrating radiomics, DL, dosiomics features and SUVp90 is promising in the RP prediction for lung cancer patients underwent VMAT using PET/CT images.
View article: Integrating deep learning and radiomics in the differentiation of major histological subtypes of invasive non-mucinous lung adenocarcinoma using positron emission tomography and computed tomography
Integrating deep learning and radiomics in the differentiation of major histological subtypes of invasive non-mucinous lung adenocarcinoma using positron emission tomography and computed tomography Open
Integrating DL and radiomic features derived from PET/CT images is a feasible and accurate approach for differentiating the four main subtypes of INMA preoperatively.
View article: Current status and future potential of radiomics in the management of patients with gastric cancer
Current status and future potential of radiomics in the management of patients with gastric cancer Open
Gastric cancer (GC) is one of the most common malignant tumors in the world and has attracted much attention due to its high incidence and mortality. Early detection and accurate diagnosis of GC is very important to improve the survival ra…
View article: Radiomics in application to diseases of the musculoskeletal system: a review
Radiomics in application to diseases of the musculoskeletal system: a review Open
Radiomics is a technique used to extract numerous quantitative features from digital medical images. A decade ago, this method was applied in oncology, but now it has expanded to non-oncological diseases, particularly those affecting the m…
View article: Integrating Deep Learning and Radiomics in Differentiating Papillary Thyroid Microcarcinoma from Papillary Thyroid Carcinoma with Ultrasound Images.
Integrating Deep Learning and Radiomics in Differentiating Papillary Thyroid Microcarcinoma from Papillary Thyroid Carcinoma with Ultrasound Images. Open
Deep learning and radiomics combination models are promising in the noninvasively preoperative differentiation of papillary thyroid microcarcinoma and papillary thyroid carcinoma to decrease the overtreatment of patients with papillary thy…
View article: GPX4 predicts poor prognosis and regulates tumor proliferation and senescence in colorectal adenocarcinoma
GPX4 predicts poor prognosis and regulates tumor proliferation and senescence in colorectal adenocarcinoma Open
This study demonstrates that GPX4 is a potential prognostic biomarker and target gene for COAD.
View article: Radiomics‐guided generative adversarial network for automatic primary target volume segmentation for nasopharyngeal carcinoma using computed tomography images
Radiomics‐guided generative adversarial network for automatic primary target volume segmentation for nasopharyngeal carcinoma using computed tomography images Open
Background Automatic primary gross tumor volume (GTVp) segmentation for nasopharyngeal carcinoma (NPC) is a quite challenging task because of the existence of similar visual characteristics between tumors and their surroundings, especially…
View article: Radiation pneumonitis prediction with dual-radiomics for esophageal cancer underwent radiotherapy
Radiation pneumonitis prediction with dual-radiomics for esophageal cancer underwent radiotherapy Open
Background To integrate radiomics and dosiomics features from multiple regions in the radiation pneumonia (RP grade ≥ 2) prediction for esophageal cancer (EC) patients underwent radiotherapy (RT). Methods Total of 143 EC patients in the au…
View article: Radiomics Harmonization in Ultrasound Images for Cervical Cancer Lymph Node Metastasis Prediction Using Cycle-GAN
Radiomics Harmonization in Ultrasound Images for Cervical Cancer Lymph Node Metastasis Prediction Using Cycle-GAN Open
Background: Ultrasound (US) based radiomics is susceptible to variations in scanners, sonographers. Objective: To retrospectively investigate the feasibility of an adapted cycle generative adversarial networks (CycleGAN) in the style trans…
View article: Exosomes miR-24-3p Target S1PR1 to Promote Angiogenesis and Induce Tumor Metastasis in non-small cell lung cancer
Exosomes miR-24-3p Target S1PR1 to Promote Angiogenesis and Induce Tumor Metastasis in non-small cell lung cancer Open
Background Angiogenesis is critical to the growth and metastasis of malignant tumors. The aim of this study is to investigate the molecular mechanism of exosome miR-24-3p in angiogenesis and metastasis of non-small cell lung cancer (NSCLC)…
View article: The application of machine learning and deep learning radiomics in the treatment of esophageal cancer
The application of machine learning and deep learning radiomics in the treatment of esophageal cancer Open
Esophageal cancer (EC) is a very aggressive disease with most cases diagnosed at advanced stages. Early detection and prognosis prediction are of clinical significance in the optimal management of EC. Genomic and proteomic technologies dem…
View article: Integrating plan complexity and dosiomics features with deep learning in patient-specific quality assurance for volumetric modulated arc therapy
Integrating plan complexity and dosiomics features with deep learning in patient-specific quality assurance for volumetric modulated arc therapy Open
Purpose To investigate the feasibility and performance of deep learning (DL) models combined with plan complexity (PC) and dosiomics features in the patient-specific quality assurance (PSQA) for patients underwent volumetric modulated arc …
View article: Intra- and peri-tumoral MRI radiomics features for preoperative lymph node metastasis prediction in early-stage cervical cancer
Intra- and peri-tumoral MRI radiomics features for preoperative lymph node metastasis prediction in early-stage cervical cancer Open
Background Noninvasive and accurate prediction of lymph node metastasis (LNM) is very important for patients with early-stage cervical cancer (ECC). Our study aimed to investigate the accuracy and sensitivity of radiomics models with featu…
View article: table s2 from Evaluation of Tumor-Derived Exosomal miRNA as Potential Diagnostic Biomarkers for Early-Stage Non–Small Cell Lung Cancer Using Next-Generation Sequencing
table s2 from Evaluation of Tumor-Derived Exosomal miRNA as Potential Diagnostic Biomarkers for Early-Stage Non–Small Cell Lung Cancer Using Next-Generation Sequencing Open
mappable miRNA was chosen for further analysis based on differentially expressed gene (DEG) analysis
View article: table s3 from Evaluation of Tumor-Derived Exosomal miRNA as Potential Diagnostic Biomarkers for Early-Stage Non–Small Cell Lung Cancer Using Next-Generation Sequencing
table s3 from Evaluation of Tumor-Derived Exosomal miRNA as Potential Diagnostic Biomarkers for Early-Stage Non–Small Cell Lung Cancer Using Next-Generation Sequencing Open
enrichment of selected miRNAs potential target genes in oncogenesis-related pathway
View article: figure s2 from Evaluation of Tumor-Derived Exosomal miRNA as Potential Diagnostic Biomarkers for Early-Stage Non–Small Cell Lung Cancer Using Next-Generation Sequencing
figure s2 from Evaluation of Tumor-Derived Exosomal miRNA as Potential Diagnostic Biomarkers for Early-Stage Non–Small Cell Lung Cancer Using Next-Generation Sequencing Open
expression pattern of miR-627-5p, miR-128-3p, miR-101-3p, miR-129-5p (A), miR-1246 and miR-155-5p (C) in AC and health controls or miR-150-5p, miR-4459, miR-6873-3p, miR-9-3p (B), miR-149-5p and miR-1246 (D) in SCC and health controls comp…
View article: table s2 from Evaluation of Tumor-Derived Exosomal miRNA as Potential Diagnostic Biomarkers for Early-Stage Non–Small Cell Lung Cancer Using Next-Generation Sequencing
table s2 from Evaluation of Tumor-Derived Exosomal miRNA as Potential Diagnostic Biomarkers for Early-Stage Non–Small Cell Lung Cancer Using Next-Generation Sequencing Open
mappable miRNA was chosen for further analysis based on differentially expressed gene (DEG) analysis
View article: figure s1 from Evaluation of Tumor-Derived Exosomal miRNA as Potential Diagnostic Biomarkers for Early-Stage Non–Small Cell Lung Cancer Using Next-Generation Sequencing
figure s1 from Evaluation of Tumor-Derived Exosomal miRNA as Potential Diagnostic Biomarkers for Early-Stage Non–Small Cell Lung Cancer Using Next-Generation Sequencing Open
Identification and quantification of total and tumor-derived exosomes from healthy controls, AC and SCC patients
View article: figure s3 from Evaluation of Tumor-Derived Exosomal miRNA as Potential Diagnostic Biomarkers for Early-Stage Non–Small Cell Lung Cancer Using Next-Generation Sequencing
figure s3 from Evaluation of Tumor-Derived Exosomal miRNA as Potential Diagnostic Biomarkers for Early-Stage Non–Small Cell Lung Cancer Using Next-Generation Sequencing Open
Strategy for the evaluation of the early diagnostic accuracy of AC- and SCC-specific tumor-derived exosomal miRNAs in a symptomatic set
View article: table s1 from Evaluation of Tumor-Derived Exosomal miRNA as Potential Diagnostic Biomarkers for Early-Stage Non–Small Cell Lung Cancer Using Next-Generation Sequencing
table s1 from Evaluation of Tumor-Derived Exosomal miRNA as Potential Diagnostic Biomarkers for Early-Stage Non–Small Cell Lung Cancer Using Next-Generation Sequencing Open
The raw miRNA-seq data
View article: Data from Evaluation of Tumor-Derived Exosomal miRNA as Potential Diagnostic Biomarkers for Early-Stage Non–Small Cell Lung Cancer Using Next-Generation Sequencing
Data from Evaluation of Tumor-Derived Exosomal miRNA as Potential Diagnostic Biomarkers for Early-Stage Non–Small Cell Lung Cancer Using Next-Generation Sequencing Open
Purpose: To identify tumor-derived exosomal biomarkers that are able to discriminate between adenocarcinoma and squamous cell carcinoma (SCC) as a noninvasive method in the early diagnosis of non–small cell lung cancer (NSCLC).Experimental…
View article: figure s2 from Evaluation of Tumor-Derived Exosomal miRNA as Potential Diagnostic Biomarkers for Early-Stage Non–Small Cell Lung Cancer Using Next-Generation Sequencing
figure s2 from Evaluation of Tumor-Derived Exosomal miRNA as Potential Diagnostic Biomarkers for Early-Stage Non–Small Cell Lung Cancer Using Next-Generation Sequencing Open
expression pattern of miR-627-5p, miR-128-3p, miR-101-3p, miR-129-5p (A), miR-1246 and miR-155-5p (C) in AC and health controls or miR-150-5p, miR-4459, miR-6873-3p, miR-9-3p (B), miR-149-5p and miR-1246 (D) in SCC and health controls comp…
View article: Data from Evaluation of Tumor-Derived Exosomal miRNA as Potential Diagnostic Biomarkers for Early-Stage Non–Small Cell Lung Cancer Using Next-Generation Sequencing
Data from Evaluation of Tumor-Derived Exosomal miRNA as Potential Diagnostic Biomarkers for Early-Stage Non–Small Cell Lung Cancer Using Next-Generation Sequencing Open
Purpose: To identify tumor-derived exosomal biomarkers that are able to discriminate between adenocarcinoma and squamous cell carcinoma (SCC) as a noninvasive method in the early diagnosis of non–small cell lung cancer (NSCLC).Experimental…