Letter to the Editor: Nodal infiltration in endometrial cancer: a prediction model using best subset regression

M.S. Lombaers^*, I.S. Haldorsen, Reijnen C., A.J. Hommersom, J.M.A. Pijnenborg

^*Corresponding author for this work

Research output: Contribution to journal › Comment/Letter to the editor › Academic › peer-review

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@article{8dad091c40ce442fb68aa96b3f1f90e1,

title = "Letter to the Editor: Nodal infiltration in endometrial cancer: a prediction model using best subset regression",

author = "M.S. Lombaers and I.S. Haldorsen and Reijnen C. and A.J. Hommersom and J.M.A. Pijnenborg",

year = "2024",

month = dec,

doi = "10.1007/s00330-024-10860-y",

language = "English",

volume = "34",

pages = "7693--7695",

journal = "European Radiology",

issn = "0938-7994",

publisher = "Springer Science and Business Media Deutschland GmbH",

number = "12",

}

TY - JOUR

T1 - Letter to the Editor

T2 - Nodal infiltration in endometrial cancer: a prediction model using best subset regression

AU - Lombaers, M.S.

AU - Haldorsen, I.S.

AU - C., Reijnen

AU - Hommersom, A.J.

AU - Pijnenborg, J.M.A.

PY - 2024/12

Y1 - 2024/12

U2 - 10.1007/s00330-024-10860-y

DO - 10.1007/s00330-024-10860-y

M3 - Comment/Letter to the editor

SN - 0938-7994

VL - 34

SP - 7693

EP - 7695

JO - European Radiology

JF - European Radiology

IS - 12

ER -