Related Experiment Video
Updated: Jan 21, 2026

05:39
Dermoscopy Aids in the Diagnosis of Discoid Lupus Erythematosus
Published on: May 16, 2025
576
Morphometric analysis and its application in lupus nephritis: a systematic review.
Lucia Mercedes Niño-Hernandez1, Liria Terradez Mas2, Amparo Ruiz Sauri2
1Medicine Program, Faculty of Health Sciences, Universidad Del Magdalena, Santa Marta, Colombia.
Journal of Histotechnology
|January 19, 2026
Summary
Digital morphometry offers an objective way to assess lupus nephritis (LN) kidney biopsies, improving diagnostic accuracy and prognosis prediction compared to traditional methods.
Area of Science:
- Nephrology
- Pathology
- Digital Pathology
Background:
- Lupus nephritis (LN) is a severe complication of systemic lupus erythematosus (SLE).
- Renal biopsy evaluation in LN suffers from histological heterogeneity and observer variability.
- Digital morphometry offers objective quantification of tissue lesions.
Purpose of the Study:
- To systematically review the application and utility of digital morphometry in lupus nephritis renal biopsies.
- To assess the diagnostic and prognostic value of digital morphometry in LN.
Main Methods:
- Systematic review following PRISMA guidelines.
- Inclusion of observational studies (adults, children, animal models) with biopsy-proven LN using digital morphometry.
- Searches across major scientific databases (PubMed, Embase, Scopus, etc.).
Main Results:
- 46 studies were included, analyzing glomerular, tubulointerstitial, and vascular compartments.
- Digital morphometry assessed parameters like cellularity, fibrosis, and immune deposits.
- Morphometry outperformed visual evaluation, especially in fibrosis quantification and prognosis prediction.
Conclusions:
- Digital morphometry is a valuable tool for comprehensive LN renal biopsy assessment.
- It enhances objectivity, reproducibility, and prognostic value in characterizing renal damage.
- Standardization and AI integration could further optimize LN diagnosis and treatment.
Related Concept Videos
Review and Preview
8.3K
In statistics, several tools are used to interpret the data. Measures of central tendency represent the characteristics of the data, such as mean, median, and mode. Additionally, measures of variance like standard deviation and range are used to find the spread of data from the mean. Relative standing measures the distance between data locations. Commonly used measures of relative standings are percentile, z score, and quartiles.
Percentiles are a type of fractile that partition data into...
Percentiles are a type of fractile that partition data into...
8.3K
Review and Preview
10.9K
Data are individual items of information obtained from a population or sample. Data may be classified as qualitative (categorical), quantitative continuous, or quantitative discrete. Because it is not practical to measure the entire population in a study, researchers use samples to represent the population. A random sample is a representative group from the population chosen by using a method that gives each individual in the population an equal chance of being included in the sample. Random...
10.9K
Random and Systematic Errors
14.4K
Scientists always try their best to record measurements with the utmost accuracy and precision. However, sometimes errors do occur. These errors can be random or systematic. Random errors are observed due to the inconsistency or fluctuation in the measurement process, or variations in the quantity itself that is being measured. Such errors fluctuate from being greater than or less than the true value in repeated measurements. Consider a scientist measuring the length of an earthworm using a...
14.4K
Systematic Sampling Method
12.6K
Sampling is a technique to select a portion (or subset) of the larger population and study that portion (the sample) to gain information about the population. Data are the result of sampling from a population. The sampling method ensures that samples are drawn without bias and accurately represent the population. Because measuring the entire population in a study is not practical, researchers use samples to represent the population of interest.
Systematic sampling is one of the simplest methods...
Systematic sampling is one of the simplest methods...
12.6K
Propagation of Uncertainty from Systematic Error
1.4K
The atomic mass of an element varies due to the relative ratio of its isotopes. A sample's relative proportion of oxygen isotopes influences its average atomic mass. For instance, if we were to measure the atomic mass of oxygen from a sample, the mass would be a weighted average of the isotopic masses of oxygen in that sample. Since a single sample is not likely to perfectly reflect the true atomic mass of oxygen for all the molecules of oxygen on Earth, the mass we obtain from this...
1.4K
Systematic Error: Methodological and Sampling Errors
9.8K
In the case of systematic errors, the sources can be identified, and the errors can be subsequently minimized by addressing these sources. According to the source, systematic errors can be divided into sampling, instrumental, methodological, and personal errors.
Sampling errors originate from improper sampling methods or the wrong sample population. These errors can be minimized by refining the sampling strategy. Defective instruments or faulty calibrations are the sources of instrumental...
Sampling errors originate from improper sampling methods or the wrong sample population. These errors can be minimized by refining the sampling strategy. Defective instruments or faulty calibrations are the sources of instrumental...
9.8K

