Publications by authors named "G Ortoft"

Article Synopsis
  • A study examined the outcomes of 3723 Danish patients with endometrial cancer who underwent radical surgery without adjuvant radiotherapy from 2005-2012 to assess the impact on recurrence patterns and potential benefits of adjuvant treatment.
  • Results showed a 13.4% recurrence rate over nine years, with non-low-risk patients experiencing higher rates of isolated vaginal (6.7%) and pelvic recurrences (2.1%) compared to low-risk patients, who had rates of 2.9% and 0.8%, respectively.
  • The findings suggest that while the omission of adjuvant radiotherapy appears safe, it may have prevented isolated local recurrences in 8.7% of non-low
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Predicting distant recurrence of endometrial cancer (EC) is crucial for personalized adjuvant treatment. The current gold standard of combined pathological and molecular profiling is costly, hampering implementation. Here we developed HECTOR (histopathology-based endometrial cancer tailored outcome risk), a multimodal deep learning prognostic model using hematoxylin and eosin-stained, whole-slide images and tumor stage as input, on 2,072 patients from eight EC cohorts including the PORTEC-1/-2/-3 randomized trials.

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Purpose: Detection of 11 pathogenic variants in the gene in endometrial cancer (EC) is critically important to identify women with a good prognosis and reduce overtreatment. Currently, status is determined by DNA sequencing, which can be expensive, relatively time-consuming, and unavailable in hospitals without specialized equipment and personnel. This may hamper the implementation of -testing in clinical practice.

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Background: A combination of tumour size, differentiation grade and location may identify a group of vulvar squamous cell cancer (VSCC) patients with a very low risk of inguinal lymph node metastasis. We aim to examine these findings in a large national cohort of VSCC patients.

Materials And Methods: Population based prospective data on VSCC patients treated with vulvectomy and primary groin surgery was obtained from the Danish Gynaecological Cancer Database.

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