Fu Shen

ORCID: 0000-0001-8596-9563
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About
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Research Areas
  • Colorectal Cancer Surgical Treatments
  • Radiomics and Machine Learning in Medical Imaging
  • Colorectal Cancer Screening and Detection
  • Colorectal and Anal Carcinomas
  • Gastric Cancer Management and Outcomes
  • Advanced X-ray and CT Imaging
  • MRI in cancer diagnosis
  • Liver Disease Diagnosis and Treatment
  • Gastrointestinal Tumor Research and Treatment
  • Advanced Polymer Synthesis and Characterization
  • Hepatitis B Virus Studies
  • Bladder and Urothelial Cancer Treatments
  • Anorectal Disease Treatments and Outcomes
  • Glutathione Transferases and Polymorphisms
  • Renal cell carcinoma treatment
  • Mesoporous Materials and Catalysis
  • Cancer-related Molecular Pathways
  • Urinary and Genital Oncology Studies
  • RNA modifications and cancer
  • Management of metastatic bone disease
  • Hepatitis C virus research
  • Folate and B Vitamins Research
  • Cholangiocarcinoma and Gallbladder Cancer Studies
  • Colorectal Cancer Treatments and Studies
  • Genomics, phytochemicals, and oxidative stress

Changhai Hospital
2013-2024

Second Military Medical University
1998-2024

Radiation Oncology Associates
2012-2013

Shanghai Sixth People's Hospital
2011

Shanghai Jiao Tong University
2008

Fudan University
1998-2003

Shanghai Medical College of Fudan University
1990-2002

Fox Chase Cancer Center
1992-1995

Abstract Background This study aimed to evaluate the significance of MRI-based radiomics model derived from high-resolution T2-weighted images (T2WIs) in predicting tumor pathological features rectal cancer. Methods A total 152 patients with cancer who underwent surgery without any neoadjuvant therapy between March 2017 and September 2018 were included retrospectively. The scanned using a 3-T magnetic resonance imaging, T2WIs obtained. Lesions delineated, 1029 extracted. Least absolute...

10.1186/s12880-019-0392-7 article EN cc-by BMC Medical Imaging 2019-11-12

Recent studies of the p53 tumor suppressor locus (designated TP53) in primary hepatocellular carcinoma (PHC) have identified a high frequency codon 249 mutations. Due to geographic location from which samples were obtained and substitution observed, mutation was suggested be attributable aflatoxin B1 (AFB1) exposure. To determine generality this phenomenon, we examined PHC tissues 107 geographically ethnically diverse sources. The gene mutations evaluated by using PCR/restriction-digest...

10.1073/pnas.89.20.9622 article EN Proceedings of the National Academy of Sciences 1992-10-15

Abstract At the time of diagnosis, approximately 15%‐20% patients with rectal cancer (RC) presented synchronous liver metastasis (SLM), which is most common cause death in RC. Therefore, preoperative, noninvasive, and accurate prediction SLM crucial for personalized treatment strategies. Recently, radiomics has been considered as an advanced image analysis method to evaluate neoplastic heterogeneity respect diagnosis tumor prognosis. In this study, a total 1409 features were extracted each...

10.1002/cam4.3185 article EN cc-by Cancer Medicine 2020-05-31

Abstract Background To validate and compare various MRI-based radiomics models to evaluate treatment response neoadjuvant chemoradiotherapy (nCRT) of rectal cancer. Methods A total 80 patients with locally advanced cancer (LARC) who underwent surgical resection after nCRT were enrolled retrospectively. Rectal MR images scanned pre- post-nCRT. The features extracted from T2-weighted images, then reduced separately by least absolute shrinkage selection operator (LASSO) principal component...

10.1186/s12880-021-00560-0 article EN cc-by BMC Medical Imaging 2021-02-16

Precise preoperative evaluation of lymph node metastasis (LNM) is crucial for ensuring effective treatment rectal cancer (RC). This research aims to develop a clinical-radiomics nomogram based on deep learning techniques, magnetic resonance imaging (MRI) and clinical characteristics, enabling the accurate prediction LNM in RC.Between January 2017 May 2023, total 519 cases confirmed by pathological examination were retrospectively recruited from two tertiary hospitals. A 253 consecutive...

10.3389/fmed.2023.1276672 article EN cc-by Frontiers in Medicine 2023-12-01

Background Reactivate the T cell immunity by PD-1/PD-L1 checkpoint blockade is widely used in non-small lung cancer (NSCLC) patients, while post-translational modification of Programmed death ligand-1 (PD-L1) commonly existed various cells, thus increases complexity and difficulty therapy development. Ginsenoside Rg3 an active component traditional Chinese herb Ginseng with multiple pharmacological effects including immune regulation. However, effect on glycosylation PD-L1 unknown. Methods...

10.3389/fimmu.2024.1434078 article EN cc-by Frontiers in Immunology 2024-08-23

To develop and validate a multimodal MRI-based radiomics nomogram for predicting clinically significant prostate cancer (CS-PCa).Patients who underwent radical prostatectomy with pre-biopsy MRI in three different centers were assessed retrospectively. Totally 141 60 cases included the training test sets cohort 1, respectively. Then, 66 122 enrolled cohorts 2 3, as external validation 1 2, Two manual segmentation methods established, including lesion whole on T2WI DWI scans, Radiomics...

10.3389/fonc.2022.918830 article EN cc-by Frontiers in Oncology 2022-07-15

Dynamic contrast-enhanced magnetic resonance imaging (DCE-MRI) is a novel modality that can be used to reflect the microcirculation, although its value in diagnosing rectal cancer unknown. The present study aimed explore clinical application of DCE-MRI preoperative diagnosis cancer, and correlation with tumor differentiation. To achieve this, 40 pathologically confirmed patients 15 controls were scanned using DCE-MRI. Tofts model was applied obtain perfusion parameters, including plasma...

10.3892/mco.2016.762 article EN Molecular and Clinical Oncology 2016-02-03

To explore the effect of b-value distributions on repeatability and diagnostic performance ADC value in rectal cancer patients using multiple b-values mono-exponential model diffusion-weighted imaging (DWI). Thirty-two preoperative patients, without receiving neoadjuvant therapy, were scanned a 3 Tesla magnetic resonance scanner DWI with 10 ranging from 0 to 2000 s/mm2. The apparent diffusion coefficient (ADC) was calculated 31 combinations consisting 2 explored. Regions interest maximum...

10.1186/s40644-018-0177-1 article EN cc-by Cancer Imaging 2018-11-15

In this study, we selected natural polyploidy loach (diploid, triploid and tetraploid) hybrid F₁ generation obverse cross (4 × 2) inverse (2 4) by diploids tetraploids as the research model. The MSAP (methylation-sensitive amplified polymorphism) reaction system was established our laboratory to explore methylation levels pattern diversification features at whole genome level of loach. results showed that total full rates decreased on increased ploidy individuals; moreover, hemimethylation...

10.3390/ijms17081299 article EN International Journal of Molecular Sciences 2016-08-22

The manual delineation of the lesion is mainly used as a conventional segmentation method, but it subjective and has poor stability repeatability. purpose this study to validate effect radiomics model based on MRI derived from two methods in preoperative T staging patients with rectal cancer (RC). A total 454 consecutive pathologically confirmed RC who underwent between January 2018 December 2019 were retrospectively analyzed. grouped according whether muscularis propria was penetrated. Two...

10.1155/2021/5566885 article EN cc-by BioMed Research International 2021-07-10

Abstract Objectives To determine the imaging details and diagnostic information of treatment response to neoadjuvant chemoradiotherapy (nCRT) rectal adenocarcinoma at 9.4T magnetic resonance (MRI) by ex vivo. Methods Fifteen cases with locally advanced cancer (LARC) followed radical surgery after nCRT between September 2022 February 2023 were recruited. Resected specimens fixed in a perfluoropolyether‐filled test tube scanned 3.0T MRI system The residual tumor depth MRI‐based regression...

10.1002/cam4.70075 article EN cc-by Cancer Medicine 2024-08-01

Abstract Background To construct and compare merged models integrating clinical factors, MRI-based radiomics features deep learning (DL) for predicting pathological complete response (pCR) to neoadjuvant chemoradiotherapy (nCRT) in patients with locally advanced rectal cancer (LARC). Methods Totally 197 LARC administered surgical resection after nCRT were assigned cohort 1 (training test sets); meanwhile, 52 cases 2 as a validation set. Radscore DL established pCR applying pre- post-nCRT MRI...

10.1186/s12880-024-01474-3 article EN cc-by BMC Medical Imaging 2024-10-24
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