Minglun Li

ORCID: 0000-0002-7312-8350
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Research Areas
  • Prostate Cancer Diagnosis and Treatment
  • Advanced Radiotherapy Techniques
  • Prostate Cancer Treatment and Research
  • Medical Imaging Techniques and Applications
  • Lung Cancer Treatments and Mutations
  • Lung Cancer Diagnosis and Treatment
  • Radiation Dose and Imaging
  • Radiation Therapy and Dosimetry
  • Cancer Immunotherapy and Biomarkers
  • Advanced X-ray and CT Imaging
  • Effects of Radiation Exposure
  • Radiomics and Machine Learning in Medical Imaging
  • Radiopharmaceutical Chemistry and Applications
  • Ferroptosis and cancer prognosis
  • Urologic and reproductive health conditions
  • Lung Cancer Research Studies
  • Cancer, Lipids, and Metabolism
  • Bladder and Urothelial Cancer Treatments
  • Cancer, Hypoxia, and Metabolism
  • Neuroendocrine Tumor Research Advances
  • Sarcoma Diagnosis and Treatment
  • RNA modifications and cancer
  • Ultrasound and Hyperthermia Applications
  • Cancer-related molecular mechanisms research
  • Phytochemistry and biological activity of medicinal plants

Ludwig-Maximilians-Universität München
2016-2025

LMU Klinikum
2016-2025

Klinikum Lüneburg
2024-2025

Shanghai Ninth People's Hospital
2023-2024

Chiba University
2024

Comprehensive Cancer Center Mainfranken
2023

Deutschen Konsortium für Translationale Krebsforschung
2021

German Center for Lung Research
2021

Heilongjiang University
2021

München Klinik
2009-2020

Pulmonary fibrosis is the consequence of a variety diseases with no satisfying treatment option. Therapy-induced also limits efficacy chemotherapy and radiotherapy in numerous cancers. Here, we studied potential platelet-derived growth factor (PDGF) receptor tyrosine kinase inhibitors (RTKIs) to attenuate radiation-induced pulmonary fibrosis. Thoraces C57BL/6 mice were irradiated (20 Gy), treated three distinct PDGF RTKIs (SU9518, SU11657, or Imatinib). Irradiation was found induce severe...

10.1084/jem.20041393 article EN The Journal of Experimental Medicine 2005-03-21

To demonstrate a proof-of-concept for fast cone-beam CT (CBCT) intensity correction in projection space by the use of deep learning.The CBCT scans and corresponding projections were acquired from 30 prostate cancer patients. Reference shading was performed using validated method (CBCT cor ), which estimates scatter other low-frequency deviations measured on basis prior image obtained warping planning to CBCT. A convolutional neural network (ScatterNet) designed, consisting an attenuation...

10.1002/mp.13175 article EN Medical Physics 2018-09-10

Purpose This work aims at investigating intensity corrected cone‐beam x‐ray computed tomography (CBCT) images for accurate dose calculation in adaptive modulated proton therapy (IMPT) prostate and head neck (H&N) cancer. A deformable image registration (DIR)‐based method a scatter correction approach using the data obtained from DIR as prior are characterized compared on basis of same clinical patient cohort first time. Methods Planning CT (pCT) daily CBCT (reconstructed measured...

10.1118/1.4962933 article EN Medical Physics 2016-09-23

In presence of inter-fractional anatomical changes, clinical benefits are anticipated from image-guided adaptive radiotherapy. Nowadays, cone-beam CT (CBCT) imaging is mostly utilized during pre-treatment for position verification. Due to various artifacts, image quality typically not sufficient photon or proton dose calculation, thus demanding accurate CBCT correction, as potentially provided by deep learning techniques. This work aimed at investigating the feasibility utilizing a...

10.1088/1361-6560/ab4d8c article EN Physics in Medicine and Biology 2019-10-14

Rationale: The current tumour-node-metastasis (TNM) staging system is insufficient for precise treatment decision-making and accurate survival prediction patients with stage I lung adenocarcinoma (LUAD). Therefore, more reliable biomarkers are urgently needed to identify the high-risk subset in guide adjuvant therapy. Methods: This study retrospectively analysed transcriptome profiles clinical parameters of 1,400 LUAD from 14 public datasets, including 13 microarray datasets different...

10.7150/thno.56202 article EN cc-by Theranostics 2021-01-01

Abstract Background More than 210,000 medical workers have fought against the outbreak of Coronavirus Disease 2019 (COVID-19) in Hubei China since December 2019. However, prevalence mental health problems frontline staff after fighting COVID-19 is still unknown. Methods Medical Wuhan and other cities Province were invited to participate a cross-sectional convenience sampling online survey, which assessed anxiety, insomnia, depression, post-traumatic stress disorder (PTSD). Results A total...

10.1186/s12955-021-01743-7 article EN cc-by Health and Quality of Life Outcomes 2021-03-22

Background: The APOBEC (apolipoprotein B mRNA editing enzyme, catalytic polypeptide-like) family-mediated mutagenesis is widespread in human cancers. However, our knowledge of the biological feature and clinical relevance APOBECs cancers remains limited. Methods: In this study, with a series bioinformatic statistical approaches, we performed comprehensive analysis multiple levels data, including whole-exome sequencing (WES) targeted next-generation (NGS), transcriptome (bulk RNA-seq...

10.7150/thno.73235 article EN cc-by Theranostics 2022-01-01

MicroRNAs are regulators of central cellular processes and implicated in the pathogenesis prognosis human cancers. also modulate responses to anti-cancer therapy. In context radiation oncology microRNAs were found cell death proliferation after irradiation. However, changes microRNA expression profiles response irradiation have not been comprehensively analyzed so far. The present study's intend is a broad screen following different malignant lines. 1100 (Sanger miRBase release version 14.0)...

10.1186/1748-717x-6-29 article EN cc-by Radiation Oncology 2011-03-31

Image intensity correction is crucial to enable cone beam computed tomography (CBCT) based radiotherapy dose calculations. This study evaluated three different deep learning methods using a U-shaped convolutional neural network architecture (Unet) in terms of their photon and proton calculation accuracy.

10.1088/1361-6560/aaf496 article EN Physics in Medicine and Biology 2018-11-28

Prostate-specific membrane antigen positron emission tomography/computed tomography (PSMA PET/CT) detects prostate cancer recurrence at low PSA levels. Radiotherapy with dose escalation to the former bed has been associated improved biochemical recurrence-free survival (BRFS). Thus, we hypothesized that PSMA PET/CT-guided salvage radiotherapy leads BRFS. Methods: A total of 204 consecutive patients were referred for following radical prostatectomy. PET/CT scans performed and persistence (109...

10.2967/jnumed.118.212563 article EN Journal of Nuclear Medicine 2018-07-12

PSMA PET/CT visualises prostate cancer residual disease or recurrence at lower PSA levels compared to conventional imaging and results in a change of treatment remarkable high number patients. Radiotherapy with dose escalation the former bed has been associated improved biochemical recurrence-free survival. Thus, it can be hypothesised that PET/CT-based radiotherapy might improve prognosis these One hundred twenty-nine patients underwent due persistence (52%) (48%) after radical...

10.1186/s13014-018-0983-4 article EN cc-by Radiation Oncology 2018-03-02

The evaluation of automatic segmentation algorithms is commonly performed using geometric metrics. An analysis based on dosimetric parameters might be more relevant in clinical practice but often lacking the literature. aim this study was to investigate impact state-of-the-art 3D U-Net-generated organ delineations dose optimization radiation therapy (RT) for prostate cancer patients.A database 69 computed tomography images with prostate, bladder, and rectum used single-label U-Net training...

10.1186/s13014-022-01985-9 article EN cc-by Radiation Oncology 2022-01-31

<sup>68</sup>Ga-prostate-specific membrane antigen PET/CT (<sup>68</sup>Ga-PSMA PET/CT) offers unprecedented accuracy for staging of primary, persistent, or recurrent prostate cancer. Thus, we hypothesized that <sup>68</sup>Ga-PSMA before radiotherapy significantly affects the radiotherapeutic approach in comparison to current standard, a CT-based approach. <b>Methods:</b> Between February 2014 and December 2017, 172 patients underwent were included this retrospective analysis. Twenty-two...

10.2967/jnumed.118.220855 article EN Journal of Nuclear Medicine 2018-12-14

Although the vast majority of patients with papillary thyroid cancer (PTC) have a favorable prognosis when conventional treatments are implemented, local recurrence and distant metastasis advanced PTCs still hamper survival clinical management in certain patients. As immune checkpoint blockade (ICB) therapy achieves great success some cancers, we aimed to investigate landscape PTC its potential implications for immunotherapy. In this study, different algorithms were conducted estimate...

10.1080/2162402x.2021.1964189 article EN cc-by-nc OncoImmunology 2021-01-01

Abstract Background Salvage radical prostatectomy (sRP) is an important treatment option for patients with recurrent prostate cancer (PCa) after radiotherapy (RT) or focal therapy (FT). However, health-related quality of life (HRQOL) sRP depending on the primary understudied. Methods Patients who underwent RP PCa were analyzed. The outcome this study was HRQOL assessed by quality-of-life questionnaire (QLQ)-C30 and its specific QLQ-PR25 add-on. Secondary outcomes functional parameters...

10.1007/s00345-024-04945-y article EN cc-by World Journal of Urology 2024-04-18

Abstract Purpose Recent advancements in imaging, particularly 18F-fluorodeoxyglucose positron-emission tomography–computed tomography (FDG-PET/CT), have improved the detection of involved lymph nodes, thus influencing staging accuracy and potentially treatment outcomes. This study is a post hoc analysis GAZAI trial data to evaluate impact FDG-PET/CT versus computed (CT) alone on radiation target volumes for involved-site radiotherapy (IS-RT) early-stage follicular lymphoma (FL). Methods All...

10.1007/s00066-024-02356-x article EN cc-by Strahlentherapie und Onkologie 2025-01-14

In addition to traditional biomarkers like PD-(L)1 expression and tumor mutation burden (TMB), more reliable methods for predicting immune checkpoint blockade (ICB) response in cancer patients are urgently needed. This study utilized multiple machine learning approaches on nonsynonymous mutations identify key that most significantly correlated ICB response. We proposed a classifier, Gene mutation-based Predictive Signature (GPS), categorize based their predicted clinical outcomes post-ICB...

10.1038/s41698-025-00842-8 article EN cc-by-nc-nd npj Precision Oncology 2025-02-27
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