Central Macular Thickness
Central Macular Thickness - Related Videos
07:59
Murine Full-thickness Skin Transplantation
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Murine full-thickness skin transplantation is a well-established model to study rejection in an alloimmune setting. Here, we provide a tutorial of each step involved in performing a BALB/c-->C57BL/6 full-thickness skin transplant.
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The Central Dogma
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Overview The central dogma of biology states that information encoded in the DNA is transferred to messenger RNA (mRNA), which then directs the synthesis of protein. The set of instructions that enable the mRNA nucleotide sequence to be decoded into amino acids is called the genetic code. The universal nature of this genetic code has spurred advances in scientific research, agriculture, and medicine. RNA Is the Missing Link between DNA and Proteins In the early 1900s, scientists discovered...
08:17
Organotypic Culture of Full-thickness Adult Porcine Retina
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Here we describe a cost-effective technique for organotypic culture of adult porcine retina for seven days. Briefly, a sterile filter paper was used to lift the neural retina off from the RPE and place photoreceptor side up on an insert raised by a custom-made stand.
03:13
Lymphedema Ultrasonography: A Technique to Measure the Change in Thickness of an Affected Tissue
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This video utilizes ultrasonography for diagnosis and follow-up tests to determine treatment efficacy of Progressive Resistance Exercise (PRE) in breast cancer-related lymphedema (BCRL). Ultrasonography can be applied effectively to ensure diagnosis and treatment of lymphedema.
02:16
Measures of Central Tendency
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2020
The "center" of a data set is also a way of describing location. The two most widely used measures of the "center" of the data are the mean (average) and the median. The words "mean" and "average" are often used interchangeably. The substitution of one word for the other is common practice. The technical term is "arithmetic mean" and "average" is technically a center location. However, in practice among non-statisticians, "average" is commonly accepted for "arithmetic mean." Another measure of...
FAQs
Optical coherence tomography uses reflected near-infrared light to produce cross-sectional images of the retina. The resulting image shows the central foveal region in profile, allowing the measurement to be based on visible retinal structure rather than on a clinical estimate alone. This provides a reproducible structural value for ophthalmic assessment and follow-up.
OCT software identifies anatomical boundaries within the retinal image and calculates the distance between them. The measurement therefore depends on locating the relevant tissue interfaces consistently across the central foveal region. Automated boundary analysis supports efficient evaluation and helps create standardized values that clinicians and researchers can compare across examinations.
Serial changes can reflect different structural processes in the retina. An increase may reveal fluid accumulation associated with retinal edema, whereas a decrease may indicate tissue loss. Interpreting the direction of change alongside the patient’s condition helps clinicians assess disease behavior, follow progression, and judge whether retinal structure is responding to treatment.
Because the value summarizes structural change at the foveal center, it can be tracked across multiple OCT examinations. Repeated measurements help distinguish a stable finding from an evolving abnormality, while standardized values support comparisons between time points. This makes the measurement useful for monitoring disease, evaluating prognosis, and documenting treatment-related changes.
An OCT system first uses reflected near-infrared light to create a cross-sectional retinal image. Software then identifies the relevant anatomical boundaries and calculates the separation between them at the central foveal region. The resulting measurement can be recorded and compared with later examinations, providing a structured approach to assessing retinal changes.
Clinicians use the measurement when assessing retinal edema and when monitoring conditions such as diabetic macular edema and age-related macular degeneration. In these settings, thickness changes can provide structural evidence of fluid accumulation or tissue loss. The measurement therefore contributes to ongoing evaluation rather than serving only as a one-time observational finding.
Changes in central macular thickness over time can show whether retinal structure is changing after treatment. A measured change may correspond to reduced or increased fluid accumulation, or to tissue loss, depending on the clinical context. Tracking these findings gives clinicians structural information for evaluating response and supporting continued monitoring.
The measurement provides a standardized structural outcome that can be followed across examinations and compared between research observations. Because OCT software calculates the distance between identified retinal boundaries, studies can use a consistent metric when examining disease-related changes, prognosis, or treatment response. This supports structured comparisons in investigations of retinal disorders.