How the Forced Oscillation Technique Measures Lung Function

The Forced Oscillation Technique (FOT) is a non-invasive method for evaluating the mechanical properties of the entire respiratory system. Unlike standard spirometry, which demands a forceful, coordinated maneuver, FOT requires minimal patient effort, making it highly accessible. The technique operates by superimposing tiny, rapid pressure oscillations onto the patient’s normal, quiet breathing pattern. By measuring the respiratory system’s response to these external vibrations, clinicians can quickly assess the mechanics of the airways and lung tissue.

How Pressure Waves Measure Airway Function

The core mechanism of the Forced Oscillation Technique involves a device, often utilizing a loudspeaker, to generate small-amplitude pressure waves at the patient’s airway opening. These pressure waves are applied across a range of frequencies, typically between 2 Hertz (Hz) and 50 Hz. The patient simply breathes normally through a mouthpiece while wearing a nose clip, and the test is completed quickly, often within 15 to 30 seconds.

The device continuously measures two signals at the mouth: the pressure being applied and the resulting airflow into and out of the lungs. This process is analogous to measuring electrical impedance in a circuit, where pressure is the “voltage” and airflow is the “current.” The resulting instantaneous pressure-flow relationship is calculated as the respiratory system impedance ($Z_{rs}$), which represents the total opposition the respiratory system offers to the oscillatory flow.

This measured impedance signal mathematically combines the properties of the airways, the lung tissue, and the chest wall. Crucially, the use of multiple oscillation frequencies allows the technique to differentiate between various components of the respiratory system. Lower frequencies, such as 5 Hz, penetrate deeper into the peripheral airways and lung tissue, while higher frequencies, such as 20 Hz, primarily reflect the mechanics of the larger, central airways.

The machine separates the applied signal from the patient’s natural breathing by analyzing the signals in the frequency domain. It isolates the specific frequencies of the external oscillations from the patient’s spontaneous breath. This ensures the measurement accurately reflects the mechanical properties of the airways, independent of the patient’s voluntary effort. The total respiratory system impedance ($Z_{rs}$) is then mathematically separated into two distinct components: Resistance ($R_{rs}$) and Reactance ($X_{rs}$).

Resistance and Reactance: The Key Outputs

The first primary output, Respiratory Resistance ($R_{rs}$), is the real part of the impedance and reflects the opposition to airflow, similar to friction. In a healthy adult, $R_{rs}$ is relatively consistent across the range of measured frequencies, but in obstructive lung disease, it becomes dependent on frequency, typically increasing at lower frequencies. This difference is utilized to analyze which parts of the airway tree are most affected by an obstruction.

The resistance measured at 5 Hz ($R5$) is considered the total resistance of the respiratory system, encompassing both the large, central airways and the peripheral airways. In contrast, the resistance measured at 20 Hz ($R20$) primarily reflects the resistance of the central airways because the higher frequency waves do not penetrate effectively into the peripheral branches. The difference between these two values, $R5 – R20$, serves as a sensitive indicator of resistance in the peripheral airways.

The second output, Respiratory Reactance ($X_{rs}$), is the imaginary component of impedance and reflects the elastic (storage) and inertial (mass) properties of the respiratory system. At the low frequencies most relevant to clinical assessment, $X_{rs}$ is typically negative, indicating that the elastic properties of the lung tissue are dominant.

When small airway disease is present, the elastic properties of the lungs are altered, causing $X_{rs}$ to become more negative, especially at lower frequencies. This change reflects increased stiffness or a reduced ability of the lung to expand and recoil properly, which is a hallmark of peripheral airway dysfunction.

Another derived parameter is the resonant frequency ($f_{res}$). This is the specific frequency where the reactance crosses zero, representing the point where the elastic and inertial forces are in balance.

Analyzing the relationship of $R_{rs}$ and $X_{rs}$ across different frequencies allows for the differentiation of various obstructive patterns. For instance, in conditions like emphysema, the reduced elastic recoil leads to a significant increase in $R_{rs}$ at low frequencies and a marked shift of $X_{rs}$ to more negative values. This frequency-dependent analysis provides insights into the location and type of mechanical defect that traditional, single-value tests might miss.

Ideal Candidates for Forced Oscillation

The Forced Oscillation Technique is particularly advantageous for patient populations who struggle with the forced maneuvers required by standard spirometry. The minimal cooperation needed—simply breathing normally for a short period—makes it the preferred method for assessing lung function in very young children, often as young as two years old. It provides an objective measure of lung mechanics in preschoolers with asthma, a group for whom reliable spirometry is often impossible.

FOT is also highly useful for patients with conditions that limit their physical ability to perform forceful breathing, such as those who are frail, elderly, or have neuromuscular diseases. The technique’s non-effort-dependent nature ensures that results are not compromised by fatigue or poor technique. This makes FOT a reliable tool for routine monitoring and assessing the stability of their respiratory function.

Beyond non-cooperative patients, FOT is useful for detecting subtle abnormalities, especially in the peripheral airways. It can independently analyze the resistance of the small airways using the $R5-R20$ metric. This allows FOT to reveal early signs of disease in conditions like asthma or Chronic Obstructive Pulmonary Disease (COPD), even when standard spirometry results are still within the normal range. FOT is valuable for monitoring disease progression and assessing the effectiveness of bronchodilator therapy.