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Minimum detectable change in lung nodule volume in a phantom CT study.

Marios A Gavrielides¹, Qin Li, Rongping Zeng

¹Division of Imaging and Applied Mathematics, Office of Science and Engineering Laboratories, Center for Devices and Radiological Health, U.S. Food and Drug Administration, 10903 New Hampshire Avenue, Bldg. 62, Rm.4114, Silver Spring, MD 20993.

Academic Radiology

|October 15, 2013

Summary

This summary is machine-generated.

This study determined the minimum detectable lung nodule volume change using computed tomography (CT). For thin-slice CT protocols, detectable nodule growth is approximately 20% or less in subcentimeter nodules.

Keywords:

Volumetric computed tomography detectable change lung nodule nodule phantom study treatment response

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Area of Science:

Medical imaging
Radiology
Pulmonary medicine

Background:

Lung nodule volume change is a key indicator for treatment response.
Accurate measurement of nodule volume change is crucial for effective patient management.

Purpose of the Study:

To determine the minimum detectable change in lung nodule volume using computed tomography (CT).
To establish a quantitative threshold for assessing nodule growth in response to treatment.

Main Methods:

Synthetic lung nodules of varying sizes (5-10 mm) were placed in an anthropomorphic phantom.
CT scans were performed using a 16-detector-row scanner with multiple parameters.
Nodule volume estimates were analyzed to determine the minimum detectable volume change at a specified area under the receiver operating characteristic curve (AUC).

Main Results:

Both nodule size and CT slice collimation protocol influenced the minimum detectable volume change.
For an AUC of 0.95 and a thin-slice protocol (16 x 0.75 mm), minimum detectable nodule growth was 17% (5 mm), 19% (8 mm), and 15% (9 mm).

Conclusions:

Detectable lung nodule growth in subcentimeter nodules is relatively small, approximately 20% or less in volume.
Thin-slice CT acquisition protocols are important for accurately detecting subtle changes in nodule volume.