9 research outputs found
Towards integrated catchment management : challenges surrounding implementation in the Gamtoos River catchment
Water resource management has become a pertinent issue of global environmental concern in response to the conditions of a growing global population, increasing development and a limited freshwater supply. It is against the backdrop of such conditions that effective water resource management has gained popularity in seeking to ensure that the needs of the growing population will be met and secured for future generations. The notion of integrated water resource management (IWRM) is a perspective on water resource management that has evolved out of the global opinion that social and ecological systems are linked and therefore cannot be managed separately. The department of water affairs (DWA) in South Africa highlights the importance of approaching management of water resources from a catchment perspective which forms the basis for a particular integrated approach to management called integrated catchment management (ICM). ICM recognizes the catchment as the correct administrative unit for management. It integrates water resources and the land that forms the catchment area in planning and management. Researchers have described the implementation of ICM as being complicated and difficult. This is no exception to South Africa. Principles of ICM have received widespread prominence in South Africa as they have been incorporated into national water policy. Actual implementation however is still in its infancy. The study is therefore a case study of ICM with respect to factors influencing implementation amongst different stakeholders. The study aims to explore the theme of implementation of ICM within the context of the Gamtoos River Catchment with a view toward identifying and addressing challenges that may be more broadly applicable. The study adopts an inductive, exploratory approach to the connection between theory and practice. A systems-based framework characterized by sequential steps similar to that employed in a case study conducted by Bellamy et al. (2001) in Queensland Australia is used to facilitate the evaluation of ICM in the Gamtoos River Catchment. The evaluation is achieved through a three step process of exploration in the current study. Triangulation is applied to the choice of methods of analysis which involves the use of a global analysis method, the use of learning scenarios and a grounded theory method. Findings reveal seven core themes which help to provide a detailed, contextual understanding relating to the status quo for ICM in the catchment. Results from a grounded theory analysis summarized the main challenges to implementation into five broad categories. Based on this analysis method and the application of the three learning scenarios for the Gamtoos River Catchment, the extent to which these challenges exist was discovered. The state of ICM in the catchment was classified as falling within a condition of a level of success being achieved with room for improvement to a condition of optimal ICM. The study concludes that based on the context of ICM being an example of a Complex Adaptive Systems (CAS), this state of ICM in the Gamtoos River Catchment is subject to change. This therefore necessitates the consideration of approaches to implementation that are adaptive to change. Findings may serve to inform decision making on how ICM can be effectively implemented elsewhere in a South African context
์ค๊ตญ๋ฐ์ ์ค ๋์-์ฐ๋ณ์์์ ๋๊ธฐ ์ค ์ด์ฐํํ์์ ์ฐ์๊ด์ธก ๋ฐ ์ง๋จ์ ๋ํ ์ฐ๊ตฌ
High-Precision (ยฑ0.1 ppm), high-frequency (hourly averaged) measurements of atmospheric carbon dioxide (CO2) were made for the first time from May 2005 to November 2011 at Yanbian in China, using a Non-Dispersive Infrared (NDIR, Licor-6262) analyzer system with National Oceanic & Atmospheric Administration/Earth System Research Laboratory (NOAA/ESRL) standards. This study presents about six and a half of years results from these measurements, including discussions on data quality control, data selection based on the characteristics of stations conditions, background data characteristics through comparing with other background observatories data in Northern Hemisphere (NH) and on the techniques for determining the CO2 emission source regions in northeast Asia according to the value of the emission strengths. Especially this study discusses the results at Yanbian compared with the results at Gosan-remote site to investigate the similarities and differences.
In order to obtain adequate observation data, high-precision, high-frequency in situ measurements of CO2 based on well-designed measurement equipment is very important. Strict data quality control and assurance procedures were carried out throughout the data acquisition.
Data selection was carefully performed based on the characteristics in Yanbian. In this study, local data, regional data were divided from the total valid measurement data, and regional background data and regional emission data were classified from the regional data. Each step, we apply different methods which were discussed respectively.
We discussed the characteristics of sampling data and the potential source direction with the method of wind weighted CO2 concentration and variation with meteorological conditions. We also investigated the local and regional data contributing effect with the method of wind weighted appropriated CO2 concentration.
The increasing trend of regional background data of all sampling period with about 1.9 ppm/yr was in good agreement with the global growth rate in recent years.
The characteristics of regional background CO2 concentrations of in-situ measurement at Yanbian from August 2005 to July 2007 were discussed in detail and compared with those of other NH global baseline and regional background stations. A comparison of the regional background data at Yanbian with concentrations at other background observatories in the middle-to-high Northern Hemisphere demonstrated the regional representativeness of the former. The large seasonal variation observed from the regional background data at Yanbian was in excellent agreement overall with those found by other observatories in the middle-to-high latitudes in the Northern Hemisphere and represents special characteristics: the summer concentration drops to a slightly lower than Ulaan Uul, and the winter concentration rises to be on par with Anmyeon-do.
Particularly, the distinctive characteristics at Yanbian were evident through comparing with the similar latitude and altitude regional background site โLongfengshan, and with the lower latitude and higher altitude global baseline site-Mauna Loa. And the study also discussed the results of Yanbian compared with that of Gosan- remote site as the representative of Northeast Asia. Because the period of dataset of two sites does not overlap, at first datasets were detrended appropriately at both sites to compare the characteristics objectively. From those results, the diurnal and seasonal variation at Yanbian was shown to be stronger than at Gosan, increasing trend was similar with at Gosan.
The regional emission data of two-year from August 2005 to July 2007, the elevated concentration above background, combined with three-dimensional synoptic meteorology from the HYSPLIT4 (Hybrid Single-Particle Lagrange Integrated Trajectory) model were used to estimate the regional source region according to the value of emission strength contributing to receptor site (Yanbian). We limited the modeling period to between November-April (cold period) to reduce uncertainties in the model. Due to the winter monsoon, air mass predominantly comes from north China and allow for better capturing of the signal from heating period. The model results indicate the strongest potential source areas contributing to measurement site at Yanbian are the southwestern part of Shandong Province including Jinan, Beijing & Tianjin metropolitan region and Vladivostok.
In addition, the tracer-ratio (CO as a trace) technique was used to make preliminary estimates the CO2 emission of China in 2006. The results showed emissions twice as high as the previous inventory. Granted that the results of this study may be somewhat overestimated because we refer the ratio of 6 months averages as a year value, our results suggest that the previous CO2 emission inventory of China maybe underestimated in not fully considering the fossil fuel emissions for the heating period in northern China.
The results of this study reveal the usefulness of in situ CO2 measurements at Yanbian for establishing the scientific foundation for monitoring the large CO2 emission areas in northern China and eastern Russia. Although situated near large local emission sources, with careful and scientific data selection, our results conformed that continued monitoring of CO2 at Yanbian within a regional network can make significant contributions in understanding both the global/regional carbon cycle and constraining top-down emissions in northeast Asia.์ค๊ตญ์ฐ๋ณ์ฌ์ดํธ์์ ์ฒ์์ผ๋ก 2005๋
8์๋ถํฐ ํ์ฌ๊น์ง ๋น๋ถ์ฐํ์ ์ธ์ ๋ถ์๊ธฐ (NDIR, Licor-6262) ๋ฅผ ๊ธฐ๋ฐ์ผ๋ก ๊ณ ์ ๋ฐ (ยฑ0.1 ppm), ๊ณ ๋น๋ (hour-1) ์ ๋๊ธฐ ์ค ์ด์ฐํํ์์ ๊ด์ธก์ด ์ด๋ฃจ์ด์ก์ผ๋ฉฐ NOAA์ CMDL/CCGG์์ ์ ๊ณตํ๋ ์ด์ฐํํ์ ํ์ค์๋ฃ๋ฅผ ์ฌ์ฉํ์๋ค. ๋ณธ ์ฐ๊ตฌ์์๋ 6๋
๋ฐ์ ๋ฐ์ดํฐ๊ฐ ์ฌ์ฉ์ด ๋์์ผ๋ฉฐ ๋ฐ์ดํฐ์ ๊ฒ์ฆ, ๋ฐ์ดํฐ์ ๋ถ์ ๋ฐ ๋ถ๋ฐ๊ตฌ์ ์์นํ ๋ค๋ฅธ ๋ฐฐ๊ฒฝ๊ด์ธก์์์ ๋น๊ต๋ถ์์ ํตํ์ฌ ์ง์ญ์ ๋ฐฐ๊ฒฝ๋๊ธฐ๋๋์ ํน์ง์ ๋ํ์ฌ ํ ๋ก ํ์์ผ๋ฉฐ ์ง์ญ์ ๋ฐฐ์ถ๊ฐ๋์ ๊ทผ๊ฑฐํ์ฌ ๋๋ถ์์ฌ์์์์ ์ ์ฌ์ ์ธ ์์ค์ง์ญ์ ์ถ์ ํ๋ ๊ธฐ๋ฒ์ ๋ํ์ฌ ํ ๋ก ํ์๋ค. ๊ทธ๋ฆฌ๊ณ ๋ณธ ์ฐ๊ตฌ์์๋ ํน๋ณํ ๊ณ ์ฐ, Longfengshan, ๋ฐ ๋ง์ฐ๋ ๋ก์์์ ์ธ๋ฐํ ๋น๊ต๋ถ์์ ํตํ์ฌ ์ฐ๋ณ์ฌ์ดํธ์ ํน์ง์ ํ์ธต ๋ ์ฌ๋์๊ฒ ์ดํด๋ณด์๋ค.
์ ํํ ๋ฐ์ดํฐ๋ฅผ ํ๋ํ๊ธฐ ์ํ์ฌ ๊ณ ์ ๋ฐ, ๊ณ ๋น๋์ ์ฐ์๊ด์ธก์ด ๊ฐ๋ฅ ํ ์ ํํ ์ฅ๋น๊ฐ ํ์ํ๋ค. ์๊ฒฉํ ์๋ฃ๊ฒ์ฆ์ ์ฐจ๋ ์๋ฃ๋ฅผ ํ๋ํ๋ ์ ๋ฐ์ ๊ฑธ์ณ ๋ชจ๋ ์ค์๋๋ค.
์ฐ๋ณ์ฌ์ดํธ์ ํน์ง์ ๊ทผ๊ฑฐํ์ฌ ์๋ฃ์ ์ ๋ณ์ด ์ธ๋ฐํ ์ด๋ฃจ์ด์ง๋ค. ๋ณธ ์ฐ๊ตฌ์์๋ ์ฐ์ ์ ์ฒด ์ ํจํ ๋ฐ์ดํฐ๋ฅผ local data์ regional data๋ก ๋ถ๋ฅํ์์ผ๋ฉฐ regional data๋ฅผ ์ง์ผ๋ณด regional background data ์ regional emission data๋ก ๋ถ๋ฅํ์์ต๋๋ค. ์๋ฃ์ ๋ณ์ ๋งค๊ฐ ์ ์ฐจ์์ ์ฌ์ฉ ๋์ด์ง ๋ถ๋ํ ๋ฐฉ๋ฒ์ ๊ฐ๊ฐ ์์ธํ ์ค๋ช
์ ๋๋ ธ๋ค.
์ฐ๋ฆฌ๋ ์ ์ฒด ๋ฐ์ดํฐ์ ํน์ง์ ๋ํ์ฌ ํ ๋ก ์ ํ์๊ณ wind weighted CO2 concentration๋ฐฉ๋ฒ์ผ๋ก ์ ์ฌ์ ์ธ ์์ค๋ฐฉํฅ์ ์ถ์ ํ์๋ค. ๊ทธ๋ฆฌ๊ณ local๊ณผ regional๋ฐ์ดํฐ์ ๊ทผ๊ฑฐํ์ฌ wind weighted ์์ํ CO2 concentration. ํ์ฌ local ๋ฐ regional์ ์ ์ฌ์ ์ธ ์์ค๋ฐฉํฅ์ ์ถ์ ํ์๋ค.
์ ์ฒด๊ด์ธก๊ธฐ๊ฐ ๋์ regional background data์ ์ฆ๊ฐ์ถ์ธ๋ 1.9 ppm/yr๋ก์ ์ต๊ทผ์ ์ ์ง๊ตฌ์ ์ธ ์ฆ๊ฐ์ถ์ธ์ ์ผ์นํ๋ค.
2005๋
8์๋ถํฐ 2007๋
7์๊น์ง์ ์ฐ์๊ด์ธก์์์ regional ๋ฐฐ๊ฒฝ CO2 ๋๋์ ํน์ง์ ๋ํ์ฌ ์์ธํ ํ ๋ก ์ ์งํํ์์ผ๋ฉฐ ๋ถ๋ฐ๊ตฌ์ ์์นํ ๋ค๋ฅธ global baseline ๊ณผ regional background์ ๊ด์ธก์์ ๋น๊ต๋ถ์์ ์งํํจ์ผ๋ก์จ ์ฐ๋ณ์ง์ญ์ ์ธ ๋ํ์ฑ์ ํ์ธต ๋ ์ฆ๋ช
ํ์ฌ ์ฃผ์๋ค. ์ฐ๋ณ์ฌ์ดํธ์์์ regional background data์ ํฐ ๊ณ์ ์ ์ธ ๋ณํ๋ ๋ถ๋ฐ๊ตฌ์ ์์นํ ๋ค๋ฅธ ๊ด์ธก์์์ ๊ฐ๊ณผ ๋น์ทํ ํน์ง์ ๋ํ๋ธ๋ค. ์๋ฅผ ๋ค๋ฉด ์ฌ๋ฆ์ฒ ์๋ Ulaan Uul๋ณด๋ค ์กฐ๊ธ ๋ฎ์ ๊ฐ์ ๋ํ๋ด๊ณ ๊ฒจ์ธ์ฒ ์๋ ์๋ฉด๋์ ๋น์ทํ ๊ฐ์ ๋ํ๋ธ๋ค.
ํน๋ณํ๊ฒ, ๋น์ทํ ์๋ ๋ฐ ๊ณ ๋์ ์์นํ Longfengshan์ฌ์ดํธ์์ ๋น๊ต ๋ฐ๋ ๋ฎ์ ์๋ ๋ฐ ๋์ ๊ณ ๋์ ์์นํ Mauna Loa์ฌ์ดํธ์์ ๋น๊ต๋ถ์์ ํตํ์ฌ ์ฐ๋ณ์ฌ์ดํธ์ ํน์ง์ด ๋ ๋๋๋ฌ์ง๊ฒ ๋ํ๋ฌ๋ค. ๊ทธ๋ฆฌ๊ณ ์ฐ๋ณ์์์ ๊ด์ธก ํ ๊ฒฐ๊ณผ๋ฅผ ๋๋ถ์์์๋ฅผ ๋ํํ๋ ๋จผ ์ฌ์ดํธ์ธ ๊ณ ์ฐ์ ๊ด์ธก์น์ ๋น๊ต๋ถ์์ ์งํํ์๋ค. ๋ dataset์ ๊ด์ธก๊ธฐ๊ฐ์ด ๊ฒน์น์ง ์๊ธฐ ๋๋ฌธ์ ์ฐ์ ๋ชฉ์ ์ฑ ์๊ฒ ์ผ์ ํ ๊ฐ์ ๋ํ์ฌ detrend๋ฅผ ํ์ฌ ๊ทธ ํน์ง์ ๋ํ์ฌ ๋น๊ต ๋ถ์์ ์งํํ์๋ค. ๊ฒฐ๊ณผ๋ฅผ ์ดํด๋ณด๋ฉด ์ฐ๋ณ์์์ ์ผ๋ณํ ๋ฐ ๊ณ์ ์ ์ธ ๋ณํ๋ ๊ณ ์ฐ๋ณด๋ค ๋ ๊ฐํจ์ ๋ํ๋ด์๊ณ ์ฆ๊ฐ์ถ์ธ๋ ๊ณ ์ฐ๊ณผ ์ ์ฌํ ๊ฐ์ ๋ํ๋๋ค.
2005๋
8์๋ถํฐ 2007๋
7์๊น์ง์ 2๋
์ regional emission data์์ regional background data๋ณด๋ค ์ฆ๊ฐ ๋ ๊ฐ์ HYSPLIT4 (Hybrid Single-Particle Lagrange Integrated Trajectory) ๋ชจ๋ธ๋ก ์ป์ ์ผ์ฐจ์์ ๊ณต๊ฐ์ ๊ธฐ์์๋ฃ์ ๊ฒฐํฉํ์ฌ ํ๋ํ ๋ฐฐ์ถ๊ฐ๋์ ๊ทผ๊ฑฐํ์ฌ receptor site (Yanbian) ์ ์ํฅ์ ์ฃผ๋ potential source region์ ์ถ์ ํ์๋ค. ์ฐ๋ฆฌ๋ ๋ชจ๋ธ์ ๋ถ ์ ํ๋๋ฅผ ์ค์ด๊ธฐ ์ํ์ฌ ๋ชจ๋ธ๊ธฐ๊ฐ์ 11์๋ถํฐ ์ด๋ฌํด 4์๊น์ง(์ถ์ด ๊ณ์ )๋ก ์ ํ์์ผ๋ฉฐ ์ด ์๊ธฐ์ ๊ฒจ์ธ๋ชฌ์์ ์ํ์ฌ ๊ธฐ๋จ์ด ๋๋ถ๋ถ ์ค๊ตญ์ ๋ถ๋ฐฉ์์ ์ค๊ณ ์์ด ๋ชจ๋ธ์ ์์ฉํ๊ธฐ ์ ํฉํ ์๊ธฐ์ธ ๊ฒ์ผ๋ก ์ฌ๊ฒจ์ง๋ค. ๋ชจ๋ธ๊ฒฐ๊ณผ๋ฅผ ์ดํด๋ณด๋ฉด ์ฐ๋ณ์ฌ์ดํธ์ ์ํฅ์ ์ฃผ๋ ๊ฐ์ฅ ํฐ ์ ์ฌ์ ์ธ ์์ค์ง์ญ์ผ๋ก๋ ์ ๋จ์ ํฌํจํ ์ฐ๋์ฑ ์๋จ์ชฝ, ๋ถ๊ฒฝ ๋ฐ ์ฒ์ง๋๋์ ์ง์ญ, ๊ทธ๋ฆฌ๊ณ ์ธ๋ผ๋๋ณด์ค๋
์ผ๋ก ์ถ์ ์ด ๋์๋ค.
์ด์ธ์ tracer-ratio (CO as a tracer) ๊ธฐ๋ฒ์ ์ด์ฉํ์ฌ 2006๋
์ค๊ตญ์ CO2 ๋ฐฐ์ถ์์ ์ด๋ณด์ ์ผ๋ก ์ถ์ ํ์ฌ ๋ณธ ๊ฒฐ๊ณผ ๊ธฐ์กด์ ๋ฐฐ์ถ์๋ณด๋ค ๋ ๋ฐฐ ๋๋ ๊ฐ์ ๋ณด์๋ค. ์ด ๊ฒฐ๊ณผ๋ 6๊ฐ์ ์ถ์ด ์๊ธฐ์ ๋น์จ์ ์ ์ฒด ์ผ๋
์ ๋น์จ๋ก ๊ฐ์ฃผํ์ฌ ๋ฐฐ์ถ ์์ ์ฐ์ ํ์๊ธฐ์ ๊ณผ๋ํ๊ฐ๋ ๊ฐ๋ฅ์ฑ์ด ํฌ๋ค ํ ์ง๋ผ๋ ๊ธฐ์กด์ ๋ฐฐ์ถ์์ ์ค๊ตญ ๋ถ๋ฐฉ์ ๋๋ฐฉ๊ธฐ๊ฐ ๋์ ํ์์ฐ๋ฃ์ ์ํ ๋ฐฐ์ถ์ ์ถฉ๋ถํ ๊ณ ๋ คํ์ง ๋ชปํ ๊ด๊ณ๋ก ๊ณผ์ํ๊ฐ๋จ์ ์ ์ํ๋ค.
๋ณธ ์ฐ๊ตฌ์ ๊ฒฐ๊ณผ๋ ์ฐ๋ณ์์์ CO2 ์ฐ์์ ์ธ ๊ด์ธก์ด ์ค๊ตญ๋ถ๋ฐฉ๊ณผ ๋ฌ์์๋๋ฐฉ์์์ ํฐ CO2 ๋ฐฐ์ถ์ง์ญ์ ๋ชจ๋ํฐ๋ง์ ๊ณผํ์ ์ธ ๊ธฐ๋ฐ์ ๋ง๋ จํจ์ ์์ด์ ์ ์ฉํ ๊ฒ์ผ๋ก ๋ณด์ธ๋ค. ๊ทธ๋ฆฌ๊ณ ๋น๋ก ๋ฐฐ์ถ์ง์ญ๊ณผ ๊ฐ๊น์ด ๊ณณ์ ์์นํ๊ณ ์์ง๋ง ์ธ์ฌํ๊ณ ๊ณผํ์ ์ธ ์๋ฃ์ ๋ณ์ ์งํํ๋ค๋ฉด ์ง์ญ์ ์ธ ๋คํธ์ํฌ์์์์ ์ฐ๋ณ์์์ CO2์ ์ง์์ ์ธ ๋ชจ๋ํฐ๋ง์ global/regional์ ํ์์ํ์ ์ดํดํ๊ณ ๋๋ถ์์์์ง์ญ์์์ top-down ๋ฐฐ์ถ ์์ ์ฐ์ ํจ์ ์์ด์ ์ค์ํ ์ญํ ์ ํ ๊ฒ์ผ๋ก ๊ธฐ๋๋๋ค.Docto
Estimation of Potential Source Region in Northeast Asia through Continuous In-situ Measurement of Atmospheric CO2 at Gosan, Jeju Island, Korea
High-Precision (ยก_0.1 ppm), high-frequency (hourly averaged) measurement of atmospheric carbon dioxide (CO2) was made at Gosan Station on Jeju Island, Korea, using a Non-dispersive Infrared (NDIR) analyzer calibrated with National Oceanic and Atmospheric Administration/Earth Sys tem Re search Laboratory standards. This paper presents the one-year results from these measurements, including discussions on data quality control and data selection, data characteristics through comparing with other regional data and on the techniques for estimating potential source regions of pollution emissions in Northeast Asia with pollution events in the record
Theoretical Analysis of the Catalytic Hydrolysis Mechanism of HCN over Cu-ZSM-5
HCN catalytic hydrolysis mechanism over Cu-ZSM-5 was investigated based on the density functional theory (DFT) with 6-31++g (d, p) basis set. Five paths (A, B, C, D, and E) were designed. For path A and path B, the first step is the nucleophilic attack of water molecule. Next, the hydrogen atom of H2O is transferred to the nitrogen atom first for path A, while in path B, the hydrogen atom of the HCN is first transferred to the nitrogen atom. In path C, HCN isomerizes to HNC initially, and the remaining steps are similar to that of path A. The H atom of HCN shifts to Cu-ZSM-5 initially in path D, and the H atom is transferred to N atom subsequently. The last step is the attack on water molecule. The first step for path E is similar to that of path D. The next step is the attack on water molecule, in which the H atom of water molecule shifts to N atom, and the H on Cu-ZSM-5 shifts to the N atom. Meanwhile, the H atom of oxygen atom is transferred to the N atom. The results show that path C is the most favorable path, with the lowest free energy barrier (35.45 kcal/mol). The results indicate that the Cu-ZSM-5 strongly reduces the energy barrier of HCN and isomerizes to HNC, making it an effective catalyst for HCN hydrolysis
Theoretical Analysis of the Catalytic Hydrolysis Mechanism of HCN over Cu-ZSM-5
HCN catalytic hydrolysis mechanism over Cu-ZSM-5 was investigated based on the density functional theory (DFT) with 6-31++g (d, p) basis set. Five paths (A, B, C, D, and E) were designed. For path A and path B, the first step is the nucleophilic attack of water molecule. Next, the hydrogen atom of H2O is transferred to the nitrogen atom first for path A, while in path B, the hydrogen atom of the HCN is first transferred to the nitrogen atom. In path C, HCN isomerizes to HNC initially, and the remaining steps are similar to that of path A. The H atom of HCN shifts to Cu-ZSM-5 initially in path D, and the H atom is transferred to N atom subsequently. The last step is the attack on water molecule. The first step for path E is similar to that of path D. The next step is the attack on water molecule, in which the H atom of water molecule shifts to N atom, and the H on Cu-ZSM-5 shifts to the N atom. Meanwhile, the H atom of oxygen atom is transferred to the N atom. The results show that path C is the most favorable path, with the lowest free energy barrier (35.45 kcal/mol). The results indicate that the Cu-ZSM-5 strongly reduces the energy barrier of HCN and isomerizes to HNC, making it an effective catalyst for HCN hydrolysis
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Preoperative evaluation of macrophage colony-stimulating factor levels in patients with endometrial cancer
OBJECTIVE: Our purpose was to examine the relationship between preoperative serum levels of macrophage colony-stimulating factor, alone and in combination with CA 125, and the presence of prognostic clinicopathologic factors and subclinical metastases in women with endometrial cancer.
STUDY DESIGN: Ninety-two women who underwent primary exploration for endometrial adenocarcinoma had preoperative serum samples evaluated for macrophage colony-stimulating factor and CA 125 levels. Multivariate analysis was used to determine the associations of surgicopathologic findings with macrophage colony-stimulating factor and CA 125 levels. Logistic regression analysis was used to identify factors associated with the risk of extrauterine disease. The association of macrophage colony-stimulating factor and CA 125 levels with stage, grade, and depth of myometrial invasion and histologic characteristics were analyzed with Fisher's two-tailed exact test.
RESULTS: Elevated levels of macrophage colony-stimulating factor were not associated with depth of myometrial invasion, histologic grade, or histologic cell type; however, advanced stage (
p = 0.02) and the presence of lymph node metastases (
p = 0.04) were associated with elevated levels. Sensitivity and specificity of macrophage colony-stimulating factor for predicting extrauterine disease were 42% and 89%, respectively. If either an elevated macrophage colony-stimulating factor or an elevated CA 125 level was used to predict extrauterine disease, the sensitivity was increased to 67% but the specificity was decreased to 78%. Macrophage colony-stimulating factor elevations predicted lymph node metastases with a sensitivity of 50% and a specificity of 86%. A multivariate regression model showed CA 125 to be the most significant predictor of extrauterine disease; macrophage colony-stimulating factor also contributed prognostic information (
p = 0.02). The sensitivity and specificity of the multivariate model for predicting extrauterine disease were 75% and 73%, respectively.
CONCLUSION: Macrophage colony-stimulating factor and CA 125 are neither sensitive nor specific enough to be used as predictors of the presence or absence of extrauterine disease in patients with endometrial cancer. (AM J OBSTET GYNECOL 1996;174:1316-9.