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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.

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Title: 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.
Authors: Ma, Qiaoke1 (AUTHOR), Chen, Bei1 (AUTHOR), Seifert, Robert2 (AUTHOR), Zhou, Rui3 (AUTHOR), Xiao, Ling1 (AUTHOR), Yang, Jinhui1 (AUTHOR), Rominger, Axel2 (AUTHOR), Shi, Kuangyu2,4 (AUTHOR), Li, Weikai5 (AUTHOR) leeweikai@cqjtu.edu.cn, Tang, Yongxiang1,2,6 (AUTHOR) xyyf0401@qq.com, Hu, Shuo1,6,7 (AUTHOR) hushuo2018@163.com
Source: European Journal of Nuclear Medicine & Molecular Imaging. May2025, Vol. 52 Issue 6, p2063-2075. 13p.
Database: Academic Search Ultimate
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  Data: 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.
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  Data: <searchLink fieldCode="JN" term="%22European+Journal+of+Nuclear+Medicine+%26+Molecular+Imaging%22">European Journal of Nuclear Medicine & Molecular Imaging</searchLink>. May2025, Vol. 52 Issue 6, p2063-2075. 13p.
PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=asn&AN=184671079
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        Value: 10.1007/s00259-024-07065-2
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      – TitleFull: 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.
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            NameFull: Ma, Qiaoke
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            – D: 01
              M: 05
              Text: May2025
              Type: published
              Y: 2025
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              Value: 52
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