Predicting the risk of metachronous colorectal cancer in patients with rectosigmoid adenomas using quantitative pathological features. A case-control study

Abstract

This paper addresses the problem of the greenhouse crop growth control using a hierarchical control approach. The proposed control scheme consists of two layers. In the lower one, adaptive and predictive controllers are used. The system dynamics at this level are described with hybrid models that arise due to the different modes of operating/controlling the greenhouse climate (heating and ventilation). As a result, different choices for the state of the system can be considered where inner temperature, solar radiation, and optimized set‐points will act as logical conditions in the description of the hybrid system. The hybrid dynamics are described both in a general way and using a MLD representation, this result being useful for control purposes in the greenhouse climate control community. The upper layer calculates optimal climate set‐points based on economic criteria. An optimization algorithm is used with a receding horizon strategy to provide the desired climate to the lower layer during the whole campaign. Representative experimental results of the implementation of the hierarchical control architecture are presented and discussed in the paper. Copyright © 2007 John Wiley & Sons, Ltd.

A Monotonous Population of Elongated Cells (MPECs) in Colorectal Adenoma Indicates a High Risk of Metachronous Cancer

“…For survival analysis, continuous variables were discretized and divided into subgroups of approximately the same size, using the 25th, 50th, and 75th percentiles (subgroups with the same prognostic results were combined) or previously established thresholds. 38 For reproducibility studies, the Kruskal-Wallis or Spearman tests were used.…”

“…Such outliers always have a strong impact on the mean value, but not on the median. Thus, a median 6 to 7 years lead-time bias to development of metachronous CRC found in the present study for MPECs agrees with the findings of Meijer et al 38 Use of MPECs, as defined by quantitative features, identified patients at high risk with a higher precision than classical adenoma features, such as type, grade, and size of the adenoma.…”

“…38 In the current study, we improved sampling and nuclei selection methods to meet clinical laboratory tests and surrogate end point biomarker standards, promoting MPECs as a high-risk indicator. The fact that our material is population-based and consists of consecutive adenomas obtained over a 12-year period (1978 to 1990) reinforces the importance and applicability of the results.…”

“…They also are strong predictors of metachronous CRC development in adenomas. 38 These prognostic results may be important, but case-control studies carry a risk of selection bias. 4 Therefore, the aim of the present study was to investigate the prognostic value of quantitative monotony-related features in a population-based series of consecutive CRAs.…”

Metachronous and Recurrent Cancer Development in Colorectal Neoplasia: Clinical Aspects, Molecular Biomarkers, and Proteomic Patterns in Surveillance and Risk Evaluation

“…Morphometry, as a part of quantitative pathology, has tried to classify tissue lesions in a metric (and preferably more objective) mode rather than the subjective assessment performed by pathologists. While morphometric measurements have been applied with a wide range of methods in colorectal neoplasia (from adenoma to carcinoma) [74][75][76][77][78][79][80] , there is considerably heterogeneity in the studies performed, and a general applicability and consensus for clinical practice has thus far not been reached.…”