Sebastian Neppl

ORCID: 0000-0002-6095-6560
Publications
Citations
Views
---
Saved
---
About
Contact & Profiles
Research Areas
  • Advanced Radiotherapy Techniques
  • Radiation Therapy and Dosimetry
  • Medical Imaging Techniques and Applications
  • Advanced MRI Techniques and Applications
  • Radiomics and Machine Learning in Medical Imaging
  • Advanced X-ray and CT Imaging
  • Cancer Immunotherapy and Biomarkers
  • Radiation Detection and Scintillator Technologies
  • Nuclear Physics and Applications
  • Lung Cancer Treatments and Mutations
  • Nuclear and radioactivity studies
  • Radiation Effects and Dosimetry
  • Lung Cancer Diagnosis and Treatment
  • Ultrasound and Hyperthermia Applications
  • MRI in cancer diagnosis
  • Cancer, Stress, Anesthesia, and Immune Response
  • Nuclear reactor physics and engineering
  • Advances in Oncology and Radiotherapy
  • Radiopharmaceutical Chemistry and Applications
  • Ideological and Political Education
  • Lung Cancer Research Studies
  • Graphite, nuclear technology, radiation studies
  • Dermatologic Treatments and Research
  • Radiation Dose and Imaging
  • Effects of Radiation Exposure

University Hospital Cologne
2024-2025

University of Cologne
2024

Ludwig-Maximilians-Universität München
2017-2023

LMU Klinikum
2017-2023

Klinik und Poliklinik für Strahlentherapie und Radioonkologie
2022

Maastro Clinic
2018

Maastricht University
2018

Klinikum rechts der Isar
2016

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

Introduction: The recent developments of magnetic resonance (MR) based adaptive strategies for photon and, potentially proton therapy, require a fast and reliable conversion MR images to X-ray computed tomography (CT) values. CT values are needed dose calculation. improvement results employing 3D deep learning approach is evaluated.Material methods: A database 89 T1-weighted head scans with about 100 slices each, including rigidly registered CTs, was created. Twenty-eight validation patients...

10.1080/0284186x.2019.1630754 article EN Acta Oncologica 2019-07-04

Highlights•Off-target ILDR synergizes with anti-PD-L1 to eradicate non-irradiated tumors•The abscopal effects of depend on dosimetry (≥1 and ≤3 Gy) volume•Gut composition governs the combined anti-PD-L1•ILDR Christensenellaceae influence emigration intestinal mregDC TdLNSummaryThe mechanisms governing local radiotherapy in cancer patients remain an open conundrum. Here, we show that off-target low-dose irradiation (ILDR) increases clinical benefits immune checkpoint inhibitors or...

10.1016/j.ccell.2025.02.010 article EN cc-by-nc-nd Cancer Cell 2025-03-01

Purpose In photon radiotherapy, respiratory‐induced target motion can be accounted for by internal volumes (ITV) or mid‐ventilation (midV) defined on the basis of four‐dimensional computed tomography (4D‐CT). Intrinsic limitations these approaches result in that are not representative gross tumor volume (GTV) over course treatment. To address limitations, we propose a novel patient‐specific ITV definition method based real‐time 4D magnetic resonance imaging (rt‐4DMRI). Methods Three lung...

10.1002/mp.14023 article EN cc-by Medical Physics 2020-01-19

Intensity modulated radiation therapy (IMRT) and volumetric arc (VMAT) are relatively complex treatment delivery techniques require quality assurance (QA) procedures. Pre-treatment dosimetric verification represents a fundamental QA procedure in daily clinical routine therapy. The purpose of this study is to develop an EPID-based approach reconstruct 3D dose distribution as imparted virtual cylindrical water phantom be used for plan-specific pre-treatment IMRT VMAT plans. For each depth, the...

10.1088/1361-6560/aac1a6 article EN Physics in Medicine and Biology 2018-05-01

Purpose The implementation of volumetric in‐room imaging for online adaptive radiotherapy makes extensive testing this image data treatment planning necessary. Especially proton beams the higher sensitivity to stopping power properties tissue results in more stringent requirements. Current approaches mainly focus on recalculation plans new data, lacking experimental verification, and ignoring impact plan re‐optimization process. aim study was use gel film dosimetry coupled with a...

10.1002/mp.14995 article EN Medical Physics 2021-05-25

The abscopal effect (AbE) is a systemic immune response mediated by the effects of radiotherapy (RT) on system. AbE in patients with metastatic cancer treated RT alone has been seen rarely, however, era checkpoint inhibition (ICI) recognized more commonly. actual frequency RT-ICI setting unclear. We retrospectively screened receiving for progressive disease during ICI between 2015- 2021. Patients switching treatment within radiological assessment (RA) were excluded. Eligible had ≥1 NIL...

10.1016/j.esmoop.2024.102646 article EN cc-by-nc-nd ESMO Open 2024-03-01

Magnetic-resonance linear-accelerator (MR-LINAC) systems integrating in-room magnetic-resonance-imaging (MRI) guidance are a currently emerging technology. Such address the need to provide frequent imaging at optimal soft-tissue contrast for treatment guidance. However, use of MRI-guidance in radiotherapy should imaging-related spatial distortions, which may hinder accurate geometrical characterization site. Since encoding relies on well-defined magnetic fields, modeling field alterations...

10.1088/1361-6560/ab447c article EN Physics in Medicine and Biology 2019-09-13

Purpose or ObjectiveSegmentation of gross tumor volumes (GTVs) on nasopharyngeal carcinoma (NPC) MR images is an important basis for NPC radiotherapy planning.Manual segmentation GTVs a time-consuming and experience-dependent process in radiotherapy.This study aimed to develop simple deep learning based auto-segmentation algorithm segment T1weighted images. Material MethodsThis involved the analysis 510 from two datasets: (a) T1-weighted contrast-enhanced head neck (H&N) 305 patients (b) H&N...

10.1016/s0167-8140(19)31424-0 article EN cc-by-nc-nd Radiotherapy and Oncology 2019-04-01

Purpose Spatial distortions in magnetic resonance imaging (MRI) are mainly caused by inhomogeneities of the static field, nonlinearities applied gradients, and tissue‐specific susceptibility variations. These factors may significantly alter geometrical accuracy reconstructed MR image, thus questioning reliability MRI for guidance image‐guided radiation therapy. In this work, we quantified spatial created a quantitative model where different sources can be separated. The generated was then...

10.1002/mp.14611 article EN cc-by-nc Medical Physics 2020-11-21

Purpose or ObjectiveOur research group has developed and benchmarked water-equivalent electronic portal imaging devices (WE-EPID) for dosimetry of conventional flattening filter (FF)

10.1016/s0167-8140(18)32098-x article EN cc-by-nc-nd Radiotherapy and Oncology 2018-04-01
Coming Soon ...