To calculate the mean corpuscular volume (MCV), which parameters must be known?

Master the AAB Medical Technologist (MT) – Hematology Exam. Dive into flashcards and multiple choice questions with hints and explanations. Get exam-ready!

Multiple Choice

To calculate the mean corpuscular volume (MCV), which parameters must be known?

Explanation:
The mean corpuscular volume (MCV) is a critical measure in hematology that provides information about the average volume of red blood cells (RBCs). To calculate the MCV, the necessary parameters are the hematocrit (HCT) and the red blood cell count (RBC). Hematocrit represents the proportion of blood volume that is occupied by red blood cells, while the RBC count gives the number of red blood cells per unit volume of blood. The formula for MCV is: \[ \text{MCV} = \frac{\text{HCT} \, (\text{in L/L})}{\text{RBC count} \, (\text{in cells/L})} \times 10 \] This results in the MCV being expressed in femtoliters (fL). Having both HCT and RBC count allows for the accurate calculation of the average volume of RBCs in a sample, which is crucial for diagnosing various types of anemias and other blood disorders. Understanding how MCV is derived from these parameters is key when analyzing red cell indices and assists in forming a comprehensive picture of a patient's hematological status.

The mean corpuscular volume (MCV) is a critical measure in hematology that provides information about the average volume of red blood cells (RBCs). To calculate the MCV, the necessary parameters are the hematocrit (HCT) and the red blood cell count (RBC).

Hematocrit represents the proportion of blood volume that is occupied by red blood cells, while the RBC count gives the number of red blood cells per unit volume of blood. The formula for MCV is:

[ \text{MCV} = \frac{\text{HCT} , (\text{in L/L})}{\text{RBC count} , (\text{in cells/L})} \times 10 ]

This results in the MCV being expressed in femtoliters (fL). Having both HCT and RBC count allows for the accurate calculation of the average volume of RBCs in a sample, which is crucial for diagnosing various types of anemias and other blood disorders.

Understanding how MCV is derived from these parameters is key when analyzing red cell indices and assists in forming a comprehensive picture of a patient's hematological status.

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