Radiomics‐augmented lesion characterization on prostate multiparametric magnetic resonance imaging: first-order features and ratio metrics may improve diagnostic performance in prostate cancer

Christoph Niessen, Maximilian Haas, Maximilian Burger, Simon Udo Engelmann, Christoph Eckl, Elena Vogel, Marco Julius Schnabel, Christian Stroszczynski, Florian Weber, Sarah Lena Haas, Roman Mayr, Christoph Pickl

Open source

DOI
10.21037/qims-2026-1006
Published
2026-11
Container
Quantitative Imaging in Medicine and Surgery
Publisher
AME Publishing Company
Open access
unknown

Credibility signals

uncertain Score 64/100 under policy 1.0.0. This is a metadata assessment, not a judgment of the paper's conclusions.

Show all credibility signals

Cite this work

BibTeX

@article{allodium:10.21037/qims-2026-1006,
  title = {Radiomics‐augmented lesion characterization on prostate multiparametric magnetic resonance imaging: first-order features and ratio metrics may improve diagnostic performance in prostate cancer},
  author = {Christoph Niessen and Maximilian Haas and Maximilian Burger and Simon Udo Engelmann and Christoph Eckl and Elena Vogel and Marco Julius Schnabel and Christian Stroszczynski and Florian Weber and Sarah Lena Haas and Roman Mayr and Christoph Pickl},
  year = {2026},
  journal = {Quantitative Imaging in Medicine and Surgery},
  doi = {10.21037/qims-2026-1006},
  url = {https://doi.org/10.21037/qims-2026-1006}
}

RIS

TY  - JOUR
TI  - Radiomics‐augmented lesion characterization on prostate multiparametric magnetic resonance imaging: first-order features and ratio metrics may improve diagnostic performance in prostate cancer
AU  - Christoph Niessen
AU  - Maximilian Haas
AU  - Maximilian Burger
AU  - Simon Udo Engelmann
AU  - Christoph Eckl
AU  - Elena Vogel
AU  - Marco Julius Schnabel
AU  - Christian Stroszczynski
AU  - Florian Weber
AU  - Sarah Lena Haas
AU  - Roman Mayr
AU  - Christoph Pickl
PY  - 2026
JO  - Quantitative Imaging in Medicine and Surgery
DO  - 10.21037/qims-2026-1006
UR  - https://doi.org/10.21037/qims-2026-1006
ER  - 

APA

Niessen, C., Haas, M., Burger, M., Engelmann, S. U., Eckl, C., Vogel, E., Schnabel, M. J., Stroszczynski, C., Weber, F., Haas, S. L., Mayr, R., & Pickl, C. (2026). Radiomics‐augmented lesion characterization on prostate multiparametric magnetic resonance imaging: first-order features and ratio metrics may improve diagnostic performance in prostate cancer. Quantitative Imaging in Medicine and Surgery. https://doi.org/10.21037/qims-2026-1006

Source records