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1.
Oncogene ; 42(38): 2816-2827, 2023 09.
Article in English | MEDLINE | ID: mdl-37587332

ABSTRACT

Computational pathology (CPath) algorithms detect, segment or classify cancer in whole slide images, approaching or even exceeding the accuracy of pathologists. Challenges have to be overcome before these algorithms can be used in practice. We therefore aim to explore international perspectives on the future role of CPath in oncological pathology by focusing on opinions and first experiences regarding barriers and facilitators. We conducted an international explorative eSurvey and semi-structured interviews with pathologists utilizing an implementation framework to classify potential influencing factors. The eSurvey results showed remarkable variation in opinions regarding attitude, understandability and validation of CPath. Interview results showed that barriers focused on the quality of available evidence, while most facilitators concerned strengths of CPath. A lack of consensus was present for multiple factors, such as the determination of sufficient validation using CPath, the preferred function of CPath within the digital workflow and the timing of CPath introduction in pathology education. The diversity in opinions illustrates variety in influencing factors in CPath adoption. A next step would be to quantitatively determine important factors for adoption and initiate validation studies. Both should include clear case descriptions and be conducted among a more homogenous panel of pathologists based on sub specialization.


Subject(s)
Medical Oncology , Pathologists , Humans , Algorithms
2.
Int J Gynecol Cancer ; 31(7): 1014-1020, 2021 07.
Article in English | MEDLINE | ID: mdl-34001633

ABSTRACT

INTRODUCTION: According to current guidelines, hormonal therapy may be applied in endometrioid type endometrial cancer as an alternative to surgery for fertility preservation and in medically unfit patients. Since it is unknown how often hormonal therapy is applied, the objective of this study was to investigate trends over time in hormonal therapy use in the background of the overall incidence of endometrial cancer. METHODS: All patients with endometrial cancer (n=48 222) registered in the Netherlands Cancer Registry in the period 1989-2018 were included. European age-standardized incidence rates with corresponding estimated annual percentage change were calculated to describe trends in the incidence of endometrial cancer. The use of hormonal therapy was analyzed in the three periods 1989-1998, 1999-2008, and 2009-2018 for the following sub-groups: primary and adjuvant therapy, International Federation of Gynecology and Oncology (FIGO) stage I-II and III-IV, and by age group. RESULTS: The European age-standardized incidence rate of endometrioid endometrial cancer peaked in 2004 with a significant increase from 1989 to 2004 (annual percentage change 0.55; 95% CI 0.10 to 0.99, p=0.020) and a subsequent decrease from 2005 to 2018 (annual percentage change -1.79; 95% CI -2.28 to -1.31, p<0.001). The incidence rate of non-endometrioid type endometrial cancer increased significantly in the study period. Hormonal therapy was used in 1482 (3.5%) patients with endometrioid endometrial cancer. Among patients with FIGO stage I aged ≤40 years, hormonal therapy increased from 0% in 1989-1998 to 27% in 2009-2018. Primary hormonal treatment increased from 175 patients (5.5%) to 329 patients (7.8%) in those aged ≥75 years. Adjuvant hormonal treatment was mostly used in advanced stage endometrial cancer. CONCLUSIONS: The use of primary hormonal therapy in endometrioid type endometrial cancer increased over time in patients aged ≤40 years and among elderly patients. The observed trends in the current use of hormonal therapy support the need to study the effect of hormonal treatment in elderly patients and as adjuvant treatment in advanced stage endometrial cancer.


Subject(s)
Endometrial Neoplasms/drug therapy , Hormone Replacement Therapy/methods , Adult , Aged , Female , Humans , Incidence , Middle Aged , Netherlands
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