Trial Outcomes & Findings for Evaluation of Computer-Aided Lung Nodule Detection Software in Thoracic CT for Riverain Technologies LLC (NCT NCT02440139)

NCT ID: NCT02440139

Last Updated: 2021-11-04

Results Overview

The detection rates in accuracy, sensitivity, and specificity on clinically actionable lung nodules were computed and compared for Aim 1 (baseline) and Arm 2 (study participants were aided with ClearRead CT software) studies.

Recruitment status

COMPLETED

Study phase

NA

Target enrollment

12 participants

Primary outcome timeframe

4 months

Results posted on

2021-11-04

Participant Flow

12 radiologists were invited to participate in a two-arms reader study.

Unit of analysis: CT cases

Participant milestones

Participant milestones
Measure
Arm 1
Participating radiologists performed clinical reading on 328 cases. They marked all locations of concern (clinically actionable nodules) on conventional thoracic CT images. Computer measured time, readers score regions according to action and suspiciousness.
Overall Study
STARTED
12 324
Overall Study
COMPLETED
12 324
Overall Study
NOT COMPLETED
0 0

Reasons for withdrawal

Withdrawal data not reported

Baseline Characteristics

Race and Ethnicity were not collected from any participant.

Baseline characteristics by cohort

Baseline characteristics by cohort
Measure
Arm 1: Baseline Study
n=12 Participants
12 participating radiologists performed clinical reading on 324 cases. They marked all locations of concern (clinically actionable nodules) on conventional thoracic CT images. Computer measured time, readers score regions according to action and suspiciousness.
Age, Categorical
<=18 years
0 Participants
n=12 Participants
Age, Categorical
Between 18 and 65 years
12 Participants
n=12 Participants
Age, Categorical
>=65 years
0 Participants
n=12 Participants
Sex: Female, Male
Female
4 Participants
n=12 Participants
Sex: Female, Male
Male
8 Participants
n=12 Participants
Region of Enrollment
United States
12 participants
n=12 Participants

PRIMARY outcome

Timeframe: 4 months

Population: Of the study chest CT cases, some contained cancers and/or clinically actionable benign nodules. They were considered targets in the study. The remaining study cases had no cancer nor clinically actionable nodules which served as true-negative for the study.

The detection rates in accuracy, sensitivity, and specificity on clinically actionable lung nodules were computed and compared for Aim 1 (baseline) and Arm 2 (study participants were aided with ClearRead CT software) studies.

Outcome measures

Outcome measures
Measure
Arm 1
n=4728 CT-case | nodule
Participating radiologists performed a clinical reading on the study cases. They marked all locations of concern (clinically actionable nodules) on conventional thoracic CT images. Computer measured time, readers score regions according to action and suspiciousness.
Arm 2
n=4728 CT-case | nodule
Participating radiologists performed clinical reading on the study cases. They marked all locations of concern (clinically actionable nodules) on thoracic CT images aided by ClearRead CT Insight software as the intervention. Computer measured time, readers score regions according to action and suspiciousness. ClearRead CT Insight: During the second reading session (concurrent read), the radiologist was presented with a standard appearing CT with CADe marks placed and the vessel suppressed images with the vessel suppressed view as the intervention. The second image, vessel suppressed, was not shown until the radiologist move the mouse to the second panel. The radiologist will mark locations. These may or may not correspond to the locations of the CAD markers. As before, the radiologist then assigned a level of suspicious to each mark and indicate the need, if any, of an additional diagnostic action (CT Follow-up, Contrast CT, PET-CT, or Biopsy).
Comparing the Detection Accuracy, Sensitivity, and Specificity of Clinically Actionable Lung Nodules
Detection Sensitivity
1283 CT-case | nodule
1548 CT-case | nodule
Comparing the Detection Accuracy, Sensitivity, and Specificity of Clinically Actionable Lung Nodules
Detection Accuracy
3612 CT-case | nodule
3735 CT-case | nodule
Comparing the Detection Accuracy, Sensitivity, and Specificity of Clinically Actionable Lung Nodules
Detection Specificity
2329 CT-case | nodule
2187 CT-case | nodule

PRIMARY outcome

Timeframe: 4 months

The areas under location-specific Receiver Operating Characteristic (LROC) curves were computed and compared for Aim 1 (baseline) and Aim 2 (study participants were aided with ClearRead CT software).

Outcome measures

Outcome measures
Measure
Arm 1
n=3888 CT case
Participating radiologists performed a clinical reading on the study cases. They marked all locations of concern (clinically actionable nodules) on conventional thoracic CT images. Computer measured time, readers score regions according to action and suspiciousness.
Arm 2
n=3888 CT case
Participating radiologists performed clinical reading on the study cases. They marked all locations of concern (clinically actionable nodules) on thoracic CT images aided by ClearRead CT Insight software as the intervention. Computer measured time, readers score regions according to action and suspiciousness. ClearRead CT Insight: During the second reading session (concurrent read), the radiologist was presented with a standard appearing CT with CADe marks placed and the vessel suppressed images with the vessel suppressed view as the intervention. The second image, vessel suppressed, was not shown until the radiologist move the mouse to the second panel. The radiologist will mark locations. These may or may not correspond to the locations of the CAD markers. As before, the radiologist then assigned a level of suspicious to each mark and indicate the need, if any, of an additional diagnostic action (CT Follow-up, Contrast CT, PET-CT, or Biopsy).
Comparing LROC Curve in the Detection of Clinically Actionable Lung Nodules Among Normal
0.633 Probability
Interval 0.594 to 0.672
0.773 Probability
Interval 0.734 to 0.812

SECONDARY outcome

Timeframe: 4 months

The average reading times per reader per case were computed and comapred in both Aim 1 and Arm 2 (study participants were aided with ClearRead CT software) studies.

Outcome measures

Outcome measures
Measure
Arm 1
n=3888 CT case
Participating radiologists performed a clinical reading on the study cases. They marked all locations of concern (clinically actionable nodules) on conventional thoracic CT images. Computer measured time, readers score regions according to action and suspiciousness.
Arm 2
n=3888 CT case
Participating radiologists performed clinical reading on the study cases. They marked all locations of concern (clinically actionable nodules) on thoracic CT images aided by ClearRead CT Insight software as the intervention. Computer measured time, readers score regions according to action and suspiciousness. ClearRead CT Insight: During the second reading session (concurrent read), the radiologist was presented with a standard appearing CT with CADe marks placed and the vessel suppressed images with the vessel suppressed view as the intervention. The second image, vessel suppressed, was not shown until the radiologist move the mouse to the second panel. The radiologist will mark locations. These may or may not correspond to the locations of the CAD markers. As before, the radiologist then assigned a level of suspicious to each mark and indicate the need, if any, of an additional diagnostic action (CT Follow-up, Contrast CT, PET-CT, or Biopsy).
Average Reading Time Per Case
98.0 Second
Interval 88.0 to 108.0
132.3 Second
Interval 122.3 to 142.3

Adverse Events

Arm 1

Serious events: 0 serious events
Other events: 0 other events
Deaths: 0 deaths

Arm 2

Serious events: 0 serious events
Other events: 0 other events
Deaths: 0 deaths

Serious adverse events

Adverse event data not reported

Other adverse events

Adverse event data not reported

Additional Information

Dr. ShihChung Benedict Lo

Virginia Tech

Phone: 301-9215754

Results disclosure agreements

  • Principal investigator is a sponsor employee
  • Publication restrictions are in place