Lung Nodule Computer-Aided Detection as a Second Reader

Abstract

The CAD software can help improve the sensitivity of residents in the detection of pulmonary nodules on computed tomography, making them comparable with board-certified radiologists.

Impact of a Computer-Aided Detection (CAD) System Integrated into a Picture Archiving and Communication System (PACS) on Reader Sensitivity and Efficiency for the Detection of Lung Nodules in Thoracic CT Exams

“…Similarly to prior studies [5][6][7][8][9][10][11][12], the number of FP interpretations significantly increased with CAD on average from 0.07 to 0.15 findings per case. However, since a majority of the FP CAD marks, 76 %, were easily labeled as FPs, not all FPs proved equally problematic and hence the reader did not need to spend similar amount of time in analyzing all proposed findings.…”

“…The main purpose of the present report, therefore, has been to assess the impact on reader's identification of solid lung nodules employing a CAD server integrated into a PACS environment as a potential component of routine clinical CT interpretation. In particular, the evaluation of consecutive low-dose screening CT studies, as those included in this study, is receiving additional attention in light of the recent observation that low-dose CT screening may decrease disease specific mortality by as much as 20 % [12]. The availability of CAD results efficiently accessible as DICOM series, alongside standard clinically reconstructed images, improved sensitivity for detecting solid lung nodules while adding only minimally to the number of FP interpretations without impact at the per-patient level.…”

“…Despite being advocated by numerous studies, to date, the routine application of CAD for detecting lung nodules [4][5][6][7][8][9][10][11][12] has yet to gain acceptance. In addition, while the integration of CAD into a routine clinical PACS environment is gaining momentum [25][26][27][28], the interactive functionality for reviewing CAD marks within PACS is currently limited.…”

“…To date, nearly all studies have shown a consistent improvement in the identification of potentially significant lung nodules [4][5][6][7][8]. Importantly, this improvement has been shown to be relatively independent of the CAD algorithm employed [9] and CT technique including radiation dose [10], reconstruction algorithm, variations in section thickness [11], as well as differences in the level of reader experience [12]. Additionally, the value of CAD systems is well documented in a variety of clinical environments [13].…”

Evaluation of Computer-Assisted Quantification of Carotid Artery Stenosis

“…For computer-aided diagnosis (CAD) in the case of lung nodule detection and evaluation [22][23][24], and colon polyps [25], it has been shown that CAD software has the potential to assist radiologists of different experience levels by increasing their accuracy and sensitivity. Vascular studies performed in the past focused on proving the feasibility of using CTA in comparison to the gold standard, digital subtraction angiography (DSA), and only examined the feasibility of post-processing as a secondary objective.…”