Development and internal validation of a parsimonious logistic regression model integrating multiparametric clinical indicators for predicting prostate cancer in the PI-RADS 3 cohort.

Zhou Y, Zhu M, Zheng Y, Wang W, Zhu Y

DOI: 10.3389/fonc.2026.1883622
Published: 2026
Container: Frontiers in oncology
Publisher: Not recorded
Open access: yes

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Cite this work

BibTeX

@article{allodium:10.3389/fonc.2026.1883622,
  title = {Development and internal validation of a parsimonious logistic regression model integrating multiparametric clinical indicators for predicting prostate cancer in the PI-RADS 3 cohort.},
  author = {Zhou Y and Zhu M and Zheng Y and Wang W and Zhu Y},
  year = {2026},
  journal = {Frontiers in oncology},
  doi = {10.3389/fonc.2026.1883622},
  url = {https://doi.org/10.3389/fonc.2026.1883622}
}

RIS

TY  - JOUR
TI  - Development and internal validation of a parsimonious logistic regression model integrating multiparametric clinical indicators for predicting prostate cancer in the PI-RADS 3 cohort.
AU  - Zhou Y
AU  - Zhu M
AU  - Zheng Y
AU  - Wang W
AU  - Zhu Y
PY  - 2026
JO  - Frontiers in oncology
DO  - 10.3389/fonc.2026.1883622
UR  - https://doi.org/10.3389/fonc.2026.1883622
ER  -

APA

Y, Z., M, Z., Y, Z., W, W., & Y, Z. (2026). Development and internal validation of a parsimonious logistic regression model integrating multiparametric clinical indicators for predicting prostate cancer in the PI-RADS 3 cohort.. Frontiers in oncology. https://doi.org/10.3389/fonc.2026.1883622

Source records

pubmed · retrieved 2026-09-25T19:34:47.976Z