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PubMed

PubMed

Cost-effectiveness of a nurse-led sexual rehabilitation intervention for women treated with radiotherapy for gynaecological cancer in a randomized trial.
Radiotherapy and oncology : journal of the European Society for Therapeutic Radiology and Oncology
Edition: 0167-8140 | Pages: 110683
Response to systemic therapies in patient-derived cell lines from primary and recurrent adult granulosa cell tumors.
Molecular cancer therapeutics
Edition: 1535-7163
Evaluation of the recently established Dutch nationwide Archipelago of Ovarian Cancer Research biobank.
Annals of diagnostic pathology
Edition: 1092-9134 | Pages: 152411
Cost-effectiveness analysis of simple hysterectomy compared to radical hysterectomy for early cervical cancer: analysis from the GCIG/CCTG CX.5/SHAPE trial.
Journal of gynecologic oncology
Edition: 2005-0380 | Pages: e117
Clinical and Molecular Characteristics of High-Risk, Recurrent, or Metastatic Endometrial Cancer That Is Human Epidermal Growth Factor Receptor 2-Low.
Journal of clinical oncology : official journal of the American Society of Clinical Oncology
Edition: 0732-183X | Pages: JCO2302768
Preoperative [<sup>18</sup>F]fluoro-PEG-folate PET/CT in advanced stage epithelial ovarian cancer: A safety and feasibility study.
Nuclear medicine and biology
Edition: 0969-8051 | Pages: 108952
Efficacy of a nurse-led sexual rehabilitation intervention for women with gynaecological cancers receiving radiotherapy: results of a randomised trial.
British journal of cancer
Edition: 0007-0920 | Pages: 808-819
Author Correction: Prediction of recurrence risk in endometrial cancer with multimodal deep learning.
Nature medicine
Edition: 1078-8956 | Pages: 2092

Citations

1
Development of a surgical competency assessment tool for sentinel lymph node dissection by minimally invasive surgery for endometrial cancer.
International journal of gynecological cancer : official journal of the International Gynecological Cancer Society
Edition: 1048-891X | Pages: 847-854

Citations

2
Prediction of recurrence risk in endometrial cancer with multimodal deep learning.
Nature medicine
Edition: 1078-8956 | Pages: 1962-1973