scholarly journals Improved Personalised Neuroendocrine Tumours’ Diagnosis Predictive Power by New Receptor Somatostatin Image Processing Quantification

2021 ◽  
Vol 11 (10) ◽  
pp. 1042
Author(s):  
Cati Raluca Stolniceanu ◽  
Mihaela Moscalu ◽  
Doina Azoicai ◽  
Bogdan Tamba ◽  
Constantin Volovat ◽  
...  
Keyword(s):  
Image Processing ◽  
Predictive Power ◽  
Neuroendocrine Tumours ◽  
Central Place ◽  
Somatostatin Analogue ◽  
Improved Method ◽  
Different Types ◽  
Uptake Quantification ◽  
Areas Of Interest ◽  
Personalised Therapy

Although neuroendocrine tumours (NETs) are intensively studied, their diagnosis and consequently personalised therapy management is still puzzling due to their tumoral heterogeneity. In their theragnosis algorithm, receptor somatostatin scintigraphy takes the central place, the diagnosis receptor somatostatin analogue (RSA) choice depending on laboratory experience and accessibility. However, in all cases, the results depend decisively on correct radiotracer tumoral uptake quantification, where unfortunately there are still unrevealed clues and lack of standardization. We propose an improved method to quantify the biodistribution of gamma-emitting RSA, using tissular corrected uptake indices. We conducted a bi-centric retrospective study on 101 patients with different types of NETs. Three uptake indices obtained after applying new corrections to areas of interest drawn for the tumour and for three reference organs (liver, spleen and lung) were statistically analysed. For the corrected pathological uptake indices, the results showed a significant decrease in the error of estimating the occurrence of errors and an increase in the diagnostic predictive power for NETs, especially in the case of lung-referring corrected index. In conclusion, these results support the importance of corrected uptake indices use in the analysis of 99mTcRSA biodistribution for a better personalised diagnostic accuracy of NETs patients.

Digitaler Video-Aktivismus: Rhetorische Strategien der Protestmobilisierung im Internet : Digital Video Activism: Rhetorical Strategies of Protest Mobilization on the Internet

SPIEL ◽  
2019 ◽  
Vol 4 (1) ◽  
pp. 95-119
Author(s):  
Kathrin Fahlenbrach
Keyword(s):  
Digital Video ◽  
Central Place ◽  
The Internet ◽  
Rhetorical Strategies ◽  
Public Protest ◽  
Online Videos ◽  
Different Types ◽  
Digital Sphere

The Internet has become a central place for protest communication: the organization of protest actions, the networking of potential activists, the dissemination of information, the calling for participation in protest actions, and the mobilization of support for protest concerns. All these and other practices have migrated from the analog to the digital sphere of publicity on the Internet. Thus the forms and strategies of public protest and activism have also changed and expanded. The article traces the special conditions of protest mobilization on the Internet. Against this background it examines different types of activist online videos with their specific audiovisual rhetorical strategies.

scholarly journals RECOGNIZING DIFFERENT TYPES OF STOCHASTIC PROCESSES

2006 ◽  
Vol 06 (01) ◽  
pp. L1-L6
Author(s):  
JONG U. KIM ◽  
LASZLO B. KISH
Keyword(s):  
Image Processing ◽  
Stochastic Processes ◽  
Cross Correlation ◽  
Correlation Method ◽  
Correlation Coefficients ◽  
Power Density Spectrum ◽  
Density Spectrum ◽  
Random Telegraph Signals ◽  
Different Types ◽  
Coefficient Method

We propose a new cross-correlation method that can recognize independent realizations of the same type of stochastic processes and can be used as a new kind of pattern recognition tool in biometrics, sensing, forensic, security and image processing applications. The method, which we call bispectrum correlation coefficient method, makes use of the cross-correlation of the bispectra. Three kinds of cross-correlation coefficients are introduced. To demonstrate the new method, six different random telegraph signals are tested, where four of them have the same power density spectrum. It is shown that the three coefficients can map the different stochastic processes to specific sub-volumes in a cube.

scholarly journals A Hybrid Methodology for Automation the Diagnosis of Leukemia Based on Quantitative and Morphological Feature Analysis

2018 ◽  
Vol 12 (3) ◽  
pp. 56 ◽  
Author(s):  
Hussam N. Fakhouri ◽  
Saleh H. Al-Sharaeh
Keyword(s):  
Image Processing ◽  
Medical Image ◽  
White Blood Cells ◽  
Medical Image Processing ◽  
Initial Diagnosis ◽  
Feature Analysis ◽  
Microscopic Images ◽  
Different Types ◽  
The Status ◽  
Blast Cells

Recent year’s witnessed a huge revolution for developing an automated diagnosis for different disease such as cancer using medical image processing. Many researches have been dedicated to achieve this goal. Analyzing medical microscopic histology images provide us with large information about the status of patient and the progress of diseases, help to determine if the tissue have any pathological changes. Automation of the diagnosis of these images will lead to better, faster and enhanced diagnosis for different hematological and histological tissue images such as cancer. This paper propose an automated methodology for analyzing cancer histology and hematology microscopic images to detect leukemia using image processing by combining two diagnosis procedures initial and advance; the initial diagnosis depend on the percentage of the white blood cells in microscopic images affected by leukemia as indicator for the existence of leukemia in the blood smear sample. Whereas, the advance diagnosis classifying the leukemia according into different types using feature bag classifier. The experimental results showed that the proposed methodology initial diagnosis is able to detect leukemia images and differentiate it from samples that do not have leukemia. While, advance diagnosis it is able to detect and classify most leukemia types and differentiate between acute and chronic, but in some cases in the chronic leukemia where the percent of blast cells and shape are similar; it gave a diagnosis of the type of leukemia to the most similar type.

Automation of sedimentation test

2018 ◽  
Vol 77 (7) ◽  
pp. 1960-1966
Author(s):  
T. Turlej
Keyword(s):  
Image Processing ◽  
Image Analysis ◽  
Processing Method ◽  
Particle Suspension ◽  
Separation Boundary ◽  
Jar Test ◽  
Automated Method ◽  
Different Types ◽  
Ccd Image ◽  
Good Agreement

Abstract This paper reports on the development of an automated method to perform sedimentation tests on a suspension, to study the settling and sedimentation behaviour of particle suspension. The standard method for measuring sedimentation rate is the jar test, but this is burdened with some errors: the possibility of misinterpretation of the interface or subjective readings by technicians. In order to overcome these problems, there are many different methods that exclude subjective mistakes. The proposed solution automatically detects the phase separation boundary and, by use of a moving camera, plots the real-time sedimentation curve. The good agreement of settling curves between the manual method, another CCD image processing method and the current technique demonstrates the reliability of the system. This system can be used for testing different types of suspensions. The article presents a comparison of the commonly used method of image analysis and the proposed solution with a tracking camera, based on the example of a coal suspension.

Predictability and inconsistencies of cognitive outcome in patients with phenylketonuria and personalised therapy: the challenge for the future guidelines

2019 ◽  
Vol 57 (3) ◽  
pp. 145-150 ◽  
Author(s):  
Vincenzo Leuzzi ◽  
Flavia Chiarotti ◽  
Francesca Nardecchia ◽  
Danique van Vliet ◽  
Francjan J van Spronsen
Keyword(s):  
Clinical Outcome ◽  
Predictive Power ◽  
Cognitive Outcome ◽  
Brain Maturation ◽  
Individual Vulnerability ◽  
Clinical Consequences ◽  
Personalised Treatment ◽  
The Individual ◽  
Prototypical Model ◽  
Personalised Therapy

Phenylketonuria (PKU) is a prototypical model of a neurodevelopmental metabolic disease that follows a cascade of pathological events affecting brain maturation and functioning. Neonatal screening and early treatment have eradicated the classical PKU phenotype in patients with early and continuously treated phenylketonuria (ECTPKU). However, effort is required to optimise the treatment of the disease to minimise the risk of lifelong neurological, cognitive and behavioural impairment, and to solve issues on the variability in clinical outcome that are rather not understood and has yet hampered a more personalised approach to its treatment. The aim of the present review is to focus on the inconsistencies in the clinical outcome of adult patients with ECTPKU unexplained by the biochemical markers adopted for the monitoring of the disease to date. The interindividual variability of clinical outcome in late as well as in early treated patients under similar biochemical control suggests the existence of disease-independent determinants influencing the individual vulnerability to the neurotoxic effect of phenylalanine. This is further supported by the low predictive power of blood phenylalanine on the clinical outcome from the second decade of life onwards. In conclusion, individual vulnerability to the metabolic alterations of PKU contributes to the prognosis of PKU, also in patients with ECTPKU. The biological factors constitutive of this vulnerability are unknown (but have not been the object of many studies so far) and should be the target of further research as prerequisite for a personalised treatment aimed at avoiding burden and costs of overtreatment and clinical consequences and risks of undertreatment in patients with PKU.

Predicting matches in international football tournaments with random forests

2018 ◽  
Vol 18 (5-6) ◽  
pp. 460-482 ◽  
Author(s):  
Gunther Schauberger ◽  
Andreas Groll
Keyword(s):  
Random Forests ◽  
Statistical Models ◽  
Regression Models ◽  
Predictive Power ◽  
Statistical Modelling ◽  
World Cup ◽  
Fifa World Cup ◽  
Specific Data ◽  
Covariate Information ◽  
Different Types

Many approaches that analyse and predict results of international matches in football are based on statistical models incorporating several potentially influential covariates with respect to a national team's success, such as the bookmakers’ ratings or the FIFA ranking. Based on all matches from the four previous FIFA World Cups 2002–2014, we compare the most common regression models that are based on the teams’ covariate information with regard to their predictive performances with an alternative modelling class, the so-called random forests. Random forests can be seen as a mixture between machine learning and statistical modelling and are known for their high predictive power. Here, we consider two different types of random forests depending on the choice of response. One type of random forests predicts the precise numbers of goals, while the other type considers the three match outcomes—win, draw and loss—using special algorithms for ordinal responses. To account for the specific data structure of football matches, in particular at FIFA World Cups, the random forest methods are slightly altered compared to their standard versions and adapted to the specific needs of the application to FIFA World Cup data.

scholarly journals Neuroendocrine tumours: what gastroenterologists need to know

2020 ◽  
pp. flgastro-2020-101431
Author(s):  
Mohid S Khan ◽  
D Mark Pritchard
Keyword(s):  
Quality Of Life ◽  
Neuroendocrine Tumours ◽  
Comprehensive Evaluation ◽  
Treatment Options ◽  
Somatostatin Analogue ◽  
Low Grade ◽  
Multiple Treatment ◽  
Gastrointestinal Problems ◽  
Patient Reported

Gastroenterologists are intermittently involved in diagnosing and managing patients who have neuroendocrine tumours (NETs). However, few UK gastroenterologists have received extensive training about this topic. This article aims to provide a brief introduction to NETs; it is aimed at a general gastroenterologist audience.NETs present in diverse ways and many symptomatic patients unfortunately experience significant delays in diagnosis. Comprehensive evaluation of a patient with a possible NET involves assessing their symptoms, the tumour’s primary organ of origin, its differentiation status, grade and stage, whether the NET is secreting hormones and whether there is any underlying hereditary predisposition. Such assessment often needs specialist investigations such as nuclear medicine scans. All these factors influence patient management and prognosis, so a patient’s case and investigations should always be discussed by a fully constituted NET multidisciplinary team. Most localised tumours are considered for resection, but there are multiple treatment options for metastatic disease and many patients receive several different therapies during the course of their illness. The most common first line treatment in patients who have metastatic low grade NETs is monthly long acting somatostatin analogue injections. Prognosis is highly variable, but some patients who have inoperable metastases survive for many years on treatment with good quality of life. Gastroenterologists may also be involved in managing the non-tumour associated chronic gastrointestinal problems that some patients experience. Their involvement has been shown to improve patient-reported outcomes and quality of life.

Improvement of the intersection method for the quantification of filamentous organisms: basis and practice for bulking and foaming bioindication purposes

2016 ◽  
Vol 74 (6) ◽  
pp. 1274-1282 ◽  
Author(s):  
Humbert Salvadó
Keyword(s):  
Wastewater Treatment Plants ◽  
Two Dimensions ◽  
Volume Index ◽  
Filament Length ◽  
Improved Method ◽  
Sludge Volume Index ◽  
Filamentous Microorganisms ◽  
Different Types ◽  
Intersection Method ◽  
The Impact

Bulking and foaming phenomena in activated sludge wastewater treatment plants are in most cases related to the abundance of filamentous microorganisms. Quantifying these microorganisms should be a preliminary stage in their control. In this paper, the simplicity of quantifying them based on the intersection method is demonstrated, by redescribing the theory and applying a new improved protocol; new data of interest are also provided. The improved method allows us to use it with stained smears, including epifluorescence techniques. The error that could be made, when considering the distribution of filamentous bacteria in fresh microscope preparations in two dimensions rather than three is negligible. The effect of the different types of filamentous microorganisms on the settleability was also studied. The effect of the total extended filament length on the sludge settleability was shown to depend on the type of filamentous organism and how it aggregates. When these groups of filamentous organisms are found in small aggregations and there is an increase in the number of filamentous organisms, the sludge volume index (SVI) increases proportionally to the filament length. However, when aggregation increases, the impact on the SVI is significantly lower.

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