tailieunhanh - Breast cancer tumor growth estimated through mammography screening data

(The cost-effectiveness analysis was based on the baseline screening results of the Morelos HPV study. 20 ) Results showed that using clinician-HPV testing alone or in combination with Pap is more cost-effective for women aged 30 to 80 years than using the Pap test alone in Mexico. The analysis took into account the cost of false negatives and false positives, colposcopy and biopsy, and treatment for CIN2/3 or cancer, as well as the cost of the screening tests. The combination of the clinician-HPV test with Pap was slightly more cost-effective than the clinician-HPV test alone, and detected 98 percent of all CIN2/3. | Available online http content 10 3 R41 Open Access Research article Breast cancer tumor growth estimated through mammography screening data Harald Weedon-Fekj r1 2 Bo H Lindqvist3 Lars J Vatten4 Odd O Aalen2 and Steinar Tretli1 4 1 Department of Etiological Research Cancer Registry of Norway Institute of Population-based Cancer Research Montebello N-0310 Oslo Norway 2Department of Biostatistics Institute of Basic Medical Sciences University of Oslo Norway Department of Mathematical Sciences Norwegian University of Science and Technology Trondheim Norway 4Department of Public Health Norwegian University of Science and Technology Trondheim Norway Corresponding author Harald Weedon-Fekj r Received 27 Aug 2007 Revisions requested 11 Oct 2007 Revisions received 14 Mar 2008 Accepted 8 May 2008 Published 8 May 2008 Breast Cancer Research 2008 10 R41 doi bcr2092 This article is online at http content 10 3 R41 2008 Weedon-Fekj r et al. licensee BioMed Central Ltd. This is an open access article distributed under the terms of the Creative Commons Attribution License http licenses by which permits unrestricted use distribution and reproduction in any medium provided the original work is properly cited. Abstract Introduction Knowledge of tumor growth is important in the planning and evaluation of screening programs clinical trials and epidemiological studies. Studies of tumor growth rates in humans are usually based on small and selected samples. In the present study based on the Norwegian Breast Cancer Screening Program tumor growth was estimated from a large population using a new estimating procedure model. Methods A likelihood-based estimating procedure was used where both tumor growth and the screen test sensitivity were modeled as continuously increasing functions of tumor size. The method was applied to cancer incidence and tumor measurement .

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