Screening for brain metastases (BM) in patients (pts) with stage III non-small cell lung cancer (NSCLC), magnetic resonance imaging (MRI) or dedicated contrast-enhanced computed tomography (dCE-CT)? A prospective observational study

Schoenmaekers, Janna; Hendriks, L.; Dingemans, Anne-Marie; Ruysscher, Dirk De; Bootsma, Gerben; Schreurs, Wendy; Westenend, Marcel; Houben, Ruud; Hofman, Paul; Booij, M. de

doi:10.1093/annonc/mdy291.002

Annals of Oncology

2018

DOI: 10.1093/annonc/mdy291.002

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Screening for brain metastases (BM) in patients (pts) with stage III non-small cell lung cancer (NSCLC), magnetic resonance imaging (MRI) or dedicated contrast-enhanced computed tomography (dCE-CT)? A prospective observational study

Janna Schoenmaekers

L. Hendriks

Anne-Marie Dingemans

et al.

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2022

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“…Computed tomography (CT) and magnetic resonance imaging (MRI) are the key modalities for detecting BM. For screening BM, contrast-enhanced (CE) MRI has the advantage of sensitivity over contrast-enhanced CT (CECT) 3,4 ; thus, it is chosen as the first modality. However, MRI has problems with accessibility, and CECT remains an alternative choice for BM screening.…”

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The Usefulness of Computer-Aided Detection of Brain Metastases on Contrast-Enhanced Computed Tomography Using Single-Shot Multibox Detector: Observer Performance Study

Sakamoto

Amemiya

Takao

et al. 2022

J Comput Assist Tomogr

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Objective: This study aimed to test the usefulness of computer-aided detection (CAD) for the detection of brain metastasis (BM) on contrast-enhanced computed tomography. Methods:The test data set included whole-brain axial contrast-enhanced computed tomography images of 25 cases with 62 BMs and 5 cases without BM. Six radiologists from 3 institutions with 2 to 4 years of experience independently reviewed the cases, both in conditions with and without CAD assistance. Sensitivity, positive predictive value, number of false positives, and reading time were compared between the conditions using paired t tests. Subanalysis was also performed for groups of lesions divided according to size. A P value <0.05 was considered statistically significant.Results: With CAD, sensitivity significantly increased from 80.4% to 83.9% (P = 0.04), whereas positive predictive value significantly decreased from 88.7% to 84.8% (P = 0.03). Reading time with and without CAD was 112 and 107 seconds, respectively (P = 0.38), and the number of false positives was 10.5 with CAD and 7.0 without CAD (P = 0.053). Sensitivity significantly improved for 6-to 12-mm lesions, from 71.2% without CAD to 80.3% with CAD (P = 0.02). The sensitivity of the CAD (95.2%) was significantly higher than that of any reader (with CAD: P = 0.01; without CAD: P = 0.005). Conclusions:Computer-aided detection significantly improved BM detection sensitivity without prolonging reading time while marginally increased the false positives.

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confidence: 99%

The Usefulness of Computer-Aided Detection of Brain Metastases on Contrast-Enhanced Computed Tomography Using Single-Shot Multibox Detector: Observer Performance Study

Sakamoto

Amemiya

Takao

et al. 2022

J Comput Assist Tomogr

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Screening for brain metastases (BM) in patients (pts) with stage III non-small cell lung cancer (NSCLC), magnetic resonance imaging (MRI) or dedicated contrast-enhanced computed tomography (dCE-CT)? A prospective observational study

Cited by 1 publication

References 0 publications

The Usefulness of Computer-Aided Detection of Brain Metastases on Contrast-Enhanced Computed Tomography Using Single-Shot Multibox Detector: Observer Performance Study

The Usefulness of Computer-Aided Detection of Brain Metastases on Contrast-Enhanced Computed Tomography Using Single-Shot Multibox Detector: Observer Performance Study

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