Choline PET/CT features to predict survival outcome in high-risk prostate cancer restaging: a preliminary machine-learning radiomics study

Pierpaolo ALONGI, Riccardo LAUDICELLA, Alessandro STEFANO, Federico CAOBELLI, Albert COMELLI, Antonio VENTO, Davide SARDINA, Gloria GANDUSCIO, Patrizia TOIA, Francesco CECI, Paola MAPELLI, Maria PICCHIO, Massimo MIDIRI, Sergio BALDARI, Roberto LAGALLA, Giorgio RUSSO

Open source

DOI: 10.23736/s1824-4785.20.03227-6
Published: 2022-11
Container: The Quarterly Journal of Nuclear Medicine and Molecular Imaging
Publisher: Edizioni Minerva Medica
Open access: unknown

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Cite this work

BibTeX

@article{allodium:10.23736/s1824-4785.20.03227-6,
  title = {Choline PET/CT features to predict survival outcome in high-risk prostate cancer restaging: a preliminary machine-learning radiomics study},
  author = {Pierpaolo ALONGI and Riccardo LAUDICELLA and Alessandro STEFANO and Federico CAOBELLI and Albert COMELLI and Antonio VENTO and Davide SARDINA and Gloria GANDUSCIO and Patrizia TOIA and Francesco CECI and Paola MAPELLI and Maria PICCHIO and Massimo MIDIRI and Sergio BALDARI and Roberto LAGALLA and Giorgio RUSSO},
  year = {2022},
  journal = {The Quarterly Journal of Nuclear Medicine and Molecular Imaging},
  doi = {10.23736/s1824-4785.20.03227-6},
  url = {https://doi.org/10.23736/s1824-4785.20.03227-6}
}

RIS

TY  - JOUR
TI  - Choline PET/CT features to predict survival outcome in high-risk prostate cancer restaging: a preliminary machine-learning radiomics study
AU  - Pierpaolo ALONGI
AU  - Riccardo LAUDICELLA
AU  - Alessandro STEFANO
AU  - Federico CAOBELLI
AU  - Albert COMELLI
AU  - Antonio VENTO
AU  - Davide SARDINA
AU  - Gloria GANDUSCIO
AU  - Patrizia TOIA
AU  - Francesco CECI
AU  - Paola MAPELLI
AU  - Maria PICCHIO
AU  - Massimo MIDIRI
AU  - Sergio BALDARI
AU  - Roberto LAGALLA
AU  - Giorgio RUSSO
PY  - 2022
JO  - The Quarterly Journal of Nuclear Medicine and Molecular Imaging
DO  - 10.23736/s1824-4785.20.03227-6
UR  - https://doi.org/10.23736/s1824-4785.20.03227-6
ER  -

APA

ALONGI, P., LAUDICELLA, R., STEFANO, A., CAOBELLI, F., COMELLI, A., VENTO, A., SARDINA, D., GANDUSCIO, G., TOIA, P., CECI, F., MAPELLI, P., PICCHIO, M., MIDIRI, M., BALDARI, S., LAGALLA, R., & RUSSO, G. (2022). Choline PET/CT features to predict survival outcome in high-risk prostate cancer restaging: a preliminary machine-learning radiomics study. The Quarterly Journal of Nuclear Medicine and Molecular Imaging. https://doi.org/10.23736/s1824-4785.20.03227-6

Source records

crossref · retrieved 2026-09-26T02:30:15.359Z