APA (7th ed.) Citation

Ma, Q., Chen, B., Seifert, R., Zhou, R., Xiao, L., Yang, J., . . . Hu, S. (2025). PSMA PET/CT based multimodal deep learning model for accurate prediction of pelvic lymph-node metastases in prostate cancer patients identified as candidates for extended pelvic lymph node dissection by preoperative nomograms. European Journal of Nuclear Medicine & Molecular Imaging, 52(6), 2063. https://doi.org/10.1007/s00259-024-07065-2

Chicago Style (17th ed.) Citation

Ma, Qiaoke, et al. "PSMA PET/CT Based Multimodal Deep Learning Model for Accurate Prediction of Pelvic Lymph-node Metastases in Prostate Cancer Patients Identified as Candidates for Extended Pelvic Lymph Node Dissection by Preoperative Nomograms." European Journal of Nuclear Medicine & Molecular Imaging 52, no. 6 (2025): 2063. https://doi.org/10.1007/s00259-024-07065-2.

MLA (9th ed.) Citation

Ma, Qiaoke, et al. "PSMA PET/CT Based Multimodal Deep Learning Model for Accurate Prediction of Pelvic Lymph-node Metastases in Prostate Cancer Patients Identified as Candidates for Extended Pelvic Lymph Node Dissection by Preoperative Nomograms." European Journal of Nuclear Medicine & Molecular Imaging, vol. 52, no. 6, 2025, p. 2063, https://doi.org/10.1007/s00259-024-07065-2.