Ovarian cancer is usually diagnosed at an advanced stage, rendering the possibility of cure unlikely. To date, no cost-effective screening test has proven effective for reduc-ing mortality. To estimate the window of opportunity for ovarian cancer screening, we develop a branching process model for ovarian cancer growth and progression ac-counting for three cell populations: Primary (cells in the ovary or fallopian tube), Peritoneal (viable cells in peritoneal fluid), and Metastatic (cells implanted on other intra-abdominal surfaces). Growth and migration parameters were chosen to match results of clinical studies. Using these values, our model predicts a window of oppor-tunity of 2.9 years, indicating that one would have to screen at least ...
Purpose To establish the performance of screening with serum cancer antigen 125 (CA-125), interprete...
Despite advances in therapy, ovarian cancer remains the most deadly of the gynecological cancers. Le...
In this thesis, we evaluated different prediction models predicting the outcome of cytoreductive sur...
The goal of ovarian cancer screening is to detect disease when confined to the ovary (stage I) and t...
CA125 is widely used as an initial investigation in women presenting with symptoms of possible ovari...
CA125 is widely used as an initial investigation in women presenting with symptoms of possible ovari...
Introduction: Ovarian cancer is caused by malignant changes in the cells of the ovary. In various st...
Ovarian cancer is predominantly a disease of postmenopausal women which presents at a late stage and...
In ovarian cancer, disease and treatment can be examined across multiple spatial scales including mo...
Ovarian cancer (OC) is one of the leading causes of female cancer death. Recent studies have documen...
Preclinical models are relatively underutilized and underfunded resources for modeling the pathogene...
About 6000 women in the United Kingdom develop ovarian cancer each year and about two-thirds of the ...
Introduction: Medical models assist clinicians in making diagnostic and prognostic decisions in comp...
OBJECTIVE: To estimate the effectiveness of ovarian cancer screening with CA 125 and transvaginal so...
Epithelial ovarian cancer originates in the layer of cells that covers the surface of the ovaries. T...
Purpose To establish the performance of screening with serum cancer antigen 125 (CA-125), interprete...
Despite advances in therapy, ovarian cancer remains the most deadly of the gynecological cancers. Le...
In this thesis, we evaluated different prediction models predicting the outcome of cytoreductive sur...
The goal of ovarian cancer screening is to detect disease when confined to the ovary (stage I) and t...
CA125 is widely used as an initial investigation in women presenting with symptoms of possible ovari...
CA125 is widely used as an initial investigation in women presenting with symptoms of possible ovari...
Introduction: Ovarian cancer is caused by malignant changes in the cells of the ovary. In various st...
Ovarian cancer is predominantly a disease of postmenopausal women which presents at a late stage and...
In ovarian cancer, disease and treatment can be examined across multiple spatial scales including mo...
Ovarian cancer (OC) is one of the leading causes of female cancer death. Recent studies have documen...
Preclinical models are relatively underutilized and underfunded resources for modeling the pathogene...
About 6000 women in the United Kingdom develop ovarian cancer each year and about two-thirds of the ...
Introduction: Medical models assist clinicians in making diagnostic and prognostic decisions in comp...
OBJECTIVE: To estimate the effectiveness of ovarian cancer screening with CA 125 and transvaginal so...
Epithelial ovarian cancer originates in the layer of cells that covers the surface of the ovaries. T...
Purpose To establish the performance of screening with serum cancer antigen 125 (CA-125), interprete...
Despite advances in therapy, ovarian cancer remains the most deadly of the gynecological cancers. Le...
In this thesis, we evaluated different prediction models predicting the outcome of cytoreductive sur...