In 40 patients with TNM stage T1 ovarian clear cell adenocarcinoma, we used nuclear morphometry to study the relations among morphometric variables, clinical prognostic factors and outcome. The presence of one or more giant nuclear cells was positively associated with death (OR = 10.6, P = 0.02) and tended to be associated with disease recurrence (OR = 5.1, P = 0.07). Nuclear irregularity (expressed in terms of the nuclear roundness factor) was positively associated with both death (OR = 8.6, P = 0.02) and disease recurrence (OR = 8.2, P = 0.02). A combination of giant nuclear cell presence or nuclear irregularity proved to be a useful prognostic indicator, with a sensitivity and specificity of 83% and 71% in the prediction of death, and 75...
Purpose: This study was designed to evaluate the ability of a previously published nuclear morphomet...
In the present study, we sought to determine the predictive value of selective nuclear morphometry (...
OBJECTIVE: To evaluate the significance of nuclear morphometry in predicting the clinical course in ...
Summary The relationship between morphometric and clinical data was assessed in a series of 60 advan...
Three hundred cases of invasive breast cancer diagnosed between 1983 and 1999 in Calabar, Nigeria we...
We used the technique of image analysis to simultaneously measure DNA content and nuclear morphology...
Due to the fact that different biological parameters play a key role in colonic malignant behavior, ...
Numerous studies have shown the prognostic significance of nuclear morphometry in breast cancer pati...
Approximately 20% to 40% of the patients with a FIGO I ovarian tumor die within five years after the...
This study investigates the correlation between computer-assisted nuclear morphometry and known prog...
Objective: Clear cell adenocarcinoma of the ovary is more resistant to chemotherapy and has a worse ...
Objectives The primary objective of this study was to correlate nuclear morphometric parameters with...
Objective To assess nuclear morphometry as a predictor of prognosis in patients with renal cell carc...
Nuclear morphometry (NM) uses image analysis to measure features of the cell nucleus which are class...
Background and purpose: The incidence of gastric cancer decreases but despite declining, it still re...
Purpose: This study was designed to evaluate the ability of a previously published nuclear morphomet...
In the present study, we sought to determine the predictive value of selective nuclear morphometry (...
OBJECTIVE: To evaluate the significance of nuclear morphometry in predicting the clinical course in ...
Summary The relationship between morphometric and clinical data was assessed in a series of 60 advan...
Three hundred cases of invasive breast cancer diagnosed between 1983 and 1999 in Calabar, Nigeria we...
We used the technique of image analysis to simultaneously measure DNA content and nuclear morphology...
Due to the fact that different biological parameters play a key role in colonic malignant behavior, ...
Numerous studies have shown the prognostic significance of nuclear morphometry in breast cancer pati...
Approximately 20% to 40% of the patients with a FIGO I ovarian tumor die within five years after the...
This study investigates the correlation between computer-assisted nuclear morphometry and known prog...
Objective: Clear cell adenocarcinoma of the ovary is more resistant to chemotherapy and has a worse ...
Objectives The primary objective of this study was to correlate nuclear morphometric parameters with...
Objective To assess nuclear morphometry as a predictor of prognosis in patients with renal cell carc...
Nuclear morphometry (NM) uses image analysis to measure features of the cell nucleus which are class...
Background and purpose: The incidence of gastric cancer decreases but despite declining, it still re...
Purpose: This study was designed to evaluate the ability of a previously published nuclear morphomet...
In the present study, we sought to determine the predictive value of selective nuclear morphometry (...
OBJECTIVE: To evaluate the significance of nuclear morphometry in predicting the clinical course in ...