Open AccessJournal Article
Some fundamental aspects of morphometry in clinical pathology, demonstrated on a simple, multipurpose analysis system.
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TL;DR: The aim of this study was to investigate the value of morphometry, to fix a set of parameters suitable for analyzing diagnostic problems, and to create a general strategy for data storage and for user-friendly data management.
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Abstract: The aim of this study was (1) to investigate the value of morphometry, (2) to fix a set of parameters suitable for analyzing diagnostic problems, and (3) to create a general strategy for data storage and for user-friendly data management. The intrinsic value of morphometry lies in the fact that in contrast to other morphologic methods, it permits the presentation of findings in the form of numbers. The following set of morphometric parameters, in the broad sense of the term morphometry, is standard in our laboratory: planimetric parameters (shape descriptors), parameters of the gray value histogram (descriptors of the general gray value distribution), texture parameters (descriptors of the correlation between various image segments), invariant moments (descriptors of the size and localization of textural image segments) and densitometric parameters. The introduction of morphometric procedures into the daily routine is facilitated if data registration and evaluation are performed separately. Original data generated by direct measurement are primary or raw data, which are stored as such. In a separate, second step these raw data are used to compare more or less complex morphometric parameters, which are called "secondary data". A system designed for separate data registration and evaluation can easily be adapted to new methodologic developments. For instance, primary data on objects (gray values, coordinates of the contour) measured one time in the past can be reused at any other time for computing new features from these data. This procedure is comparable to the possibilities in immunohistochemical staining: new immunohistochemical stains can be applied to newly prepared sections of old tissue blocks.
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Citations
Patent
Prediction of prostate cancer progression by analysis of selected predictive parameters
Robert W. Veltri,Michael Patrick Bacus,M. Craig Miller,K. Ashenayi,Donald P. Coffey,Alan W. Partin,Jonathan I. Epstein +6 more
- 29 Sep 1994
TL;DR: A method for screening individuals at risk for prostate cancer progression is disclosed in this paper, which uses specific Markovian nuclear texture factors, alone or in combination with other biomarkers, to determine whether the cancer will progress or lose organ confinement.
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Telepathology with an integrated services digital network--a new tool for image transfer in surgical pathology: a preliminary report.
Martin Oberholzer,Hans-Rudolf Fischer,Heinz Christen,Stefan Gerber,Marcel Brühlmann,Michael J. Mihatsch,Mevion Famos,Christoph Winkler,Peter Fehr,Lotti Bächthold,Klaus Kayser +10 more
TL;DR: A low-cost telepathology system working via a commercial integrated services digital network (ISDN) and consisting of modular software and hardware elements, tested by the regional hospital in Samedan, Switzerland and the Department of Pathology, University ofBasel, Basel, Switzerland.
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•Journal Article
Blood cell count analyses and erythrocyte morphometry in New Zealand white rabbits
Nina Poljičak-Milas,Ika Kardum-Skelin,Marijan Vuđan,Terezija Silvija Marenjak,Alenka Ballarin-Perharić,Zoran Milas +5 more
TL;DR: Though the average cell volume was not significantly different, morphometry data showed that the erythrocytes in males were smaller and with a lesser prominence than females', which is congruent with higher RDW and lower hemoglobin concentration in the male rabbits’ blood, and presumably the higher presence of microcyte in blood of male rabbits.
Blood cell count analyses and erythrocyte morphometry in New Blood cell count analyses and erythrocyte morphometry in New Zealand white rabbits
Nina Poljičak-Milas,Ika Kardum-Skelin,Marijan Vuđan,Silvija Marenjak,Alenka Ballarin-Perharić,Zoran Milas +5 more
- 01 Jan 2009
TL;DR: In this paper, the results of mathematical analysis of the morphometry of erythrocytes revealed statistically different parameters in males and females, including larger area (30.81 vs. 27.6 μm2), greater maximal (3.54 vs. 3.34 μm) and minimal radius (2.61 vs. 2.53).
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Morphometry and digital AgNOR analysis in cytological imprints of benign, borderline and malignant serous ovarian tumours.
Snježana Štemberger-Papić,Teodora Stanković,Danijela Vrdoljak-Mozetič,Damjana Versa-Ostojić,Maja Krašević,Sanja Štifter,Silvana Audy-Jurković +6 more
TL;DR: Values of a quantitative morphometry analysis of nuclear characteristics and argyrophilic nucleolar organizer regions (AgNORs) in differential cytodiagnosis of benign, atypically proliferating (borderline) and malignant serous ovarian tumours are determined.
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