Cargando…
Diagnostic performance and inter-observer concordance in lesion detection with the automated breast volume scanner (ABVS)
BACKGROUND: Automated whole breast ultrasound scanners of the latest generation have reached a level of comfortable application and high quality volume acquisition. Nevertheless, there is a lack of data concerning this technology. We investigated the diagnostic performance and inter-observer concord...
Autores principales: | , , , , , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2013
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3831756/ https://www.ncbi.nlm.nih.gov/pubmed/24219312 http://dx.doi.org/10.1186/1471-2342-13-36 |
_version_ | 1782291616011124736 |
---|---|
author | Wojcinski, Sebastian Gyapong, Samuel Farrokh, André Soergel, Philipp Hillemanns, Peter Degenhardt, Friedrich |
author_facet | Wojcinski, Sebastian Gyapong, Samuel Farrokh, André Soergel, Philipp Hillemanns, Peter Degenhardt, Friedrich |
author_sort | Wojcinski, Sebastian |
collection | PubMed |
description | BACKGROUND: Automated whole breast ultrasound scanners of the latest generation have reached a level of comfortable application and high quality volume acquisition. Nevertheless, there is a lack of data concerning this technology. We investigated the diagnostic performance and inter-observer concordance of the Automated Breast Volume Scanner (ABVS) ACUSON S2000™ and questioned its implications in breast cancer diagnostics. METHODS: We collected 100 volume data sets and created a database containing 52 scans with no detectable lesions in conventional ultrasound (BI-RADS®-US 1), 30 scans with benign lesions (BI-RADS®-US 2) and 18 scans with breast cancer (BI-RADS®-US 5). Two independent examiners evaluated the ABVS data on a separate workstation without any prior knowledge of the patients’ histories. RESULTS: The inter-rater reliability reached fair agreement (κ=0.36; 95% confidence interval (CI): 0.19-0.53). With respect to the true category, the conditional inter-rater validity coefficient was κ=0.18 (95% CI: 0.00-0.26) for the benign cases and κ=0.80 (95% CI: 0.61-1.00) for the malignant cases. Combining the assessments of examiner 1 and examiner 2, the diagnostic accuracy (AC), sensitivity (SE) and specificity (SP) for the experimental ABVS were AC = 79.0% (95% CI: 67.3-86.1), SE = 83.3% (95% CI: 57.7-95.6) and SP = 78.1% (% CI: 67.3-86.1), respectively. However, after the ABVS examination, there were a high number of requests for second-look ultrasounds in up to 48.8% of the healthy women due to assumed suspicious findings in the volume data. In an exploratory analysis, we estimated that an ABVS examination in addition to mammography alone could detect a relevant number of previously occult breast cancers (about 1 cancer in 300 screened and otherwise healthy women). CONCLUSIONS: The ABVS is a reliable imaging method for the evaluation of the breast with high sensitivity and a fair inter-observer concordance. However, we have to overcome the problem of the high number of false-positive results. Therefore, further prospective studies in larger collectives are necessary to define standard procedures in image acquisition and interpretation. Nevertheless, we consider the ABVS as being suitable for integration into breast diagnostics as a beneficial and reliable imaging method. |
format | Online Article Text |
id | pubmed-3831756 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2013 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-38317562013-11-19 Diagnostic performance and inter-observer concordance in lesion detection with the automated breast volume scanner (ABVS) Wojcinski, Sebastian Gyapong, Samuel Farrokh, André Soergel, Philipp Hillemanns, Peter Degenhardt, Friedrich BMC Med Imaging Research Article BACKGROUND: Automated whole breast ultrasound scanners of the latest generation have reached a level of comfortable application and high quality volume acquisition. Nevertheless, there is a lack of data concerning this technology. We investigated the diagnostic performance and inter-observer concordance of the Automated Breast Volume Scanner (ABVS) ACUSON S2000™ and questioned its implications in breast cancer diagnostics. METHODS: We collected 100 volume data sets and created a database containing 52 scans with no detectable lesions in conventional ultrasound (BI-RADS®-US 1), 30 scans with benign lesions (BI-RADS®-US 2) and 18 scans with breast cancer (BI-RADS®-US 5). Two independent examiners evaluated the ABVS data on a separate workstation without any prior knowledge of the patients’ histories. RESULTS: The inter-rater reliability reached fair agreement (κ=0.36; 95% confidence interval (CI): 0.19-0.53). With respect to the true category, the conditional inter-rater validity coefficient was κ=0.18 (95% CI: 0.00-0.26) for the benign cases and κ=0.80 (95% CI: 0.61-1.00) for the malignant cases. Combining the assessments of examiner 1 and examiner 2, the diagnostic accuracy (AC), sensitivity (SE) and specificity (SP) for the experimental ABVS were AC = 79.0% (95% CI: 67.3-86.1), SE = 83.3% (95% CI: 57.7-95.6) and SP = 78.1% (% CI: 67.3-86.1), respectively. However, after the ABVS examination, there were a high number of requests for second-look ultrasounds in up to 48.8% of the healthy women due to assumed suspicious findings in the volume data. In an exploratory analysis, we estimated that an ABVS examination in addition to mammography alone could detect a relevant number of previously occult breast cancers (about 1 cancer in 300 screened and otherwise healthy women). CONCLUSIONS: The ABVS is a reliable imaging method for the evaluation of the breast with high sensitivity and a fair inter-observer concordance. However, we have to overcome the problem of the high number of false-positive results. Therefore, further prospective studies in larger collectives are necessary to define standard procedures in image acquisition and interpretation. Nevertheless, we consider the ABVS as being suitable for integration into breast diagnostics as a beneficial and reliable imaging method. BioMed Central 2013-11-12 /pmc/articles/PMC3831756/ /pubmed/24219312 http://dx.doi.org/10.1186/1471-2342-13-36 Text en Copyright © 2013 Wojcinski et al.; licensee BioMed Central Ltd. http://creativecommons.org/licenses/by/2.0 This is an open access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/2.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Research Article Wojcinski, Sebastian Gyapong, Samuel Farrokh, André Soergel, Philipp Hillemanns, Peter Degenhardt, Friedrich Diagnostic performance and inter-observer concordance in lesion detection with the automated breast volume scanner (ABVS) |
title | Diagnostic performance and inter-observer concordance in lesion detection with the automated breast volume scanner (ABVS) |
title_full | Diagnostic performance and inter-observer concordance in lesion detection with the automated breast volume scanner (ABVS) |
title_fullStr | Diagnostic performance and inter-observer concordance in lesion detection with the automated breast volume scanner (ABVS) |
title_full_unstemmed | Diagnostic performance and inter-observer concordance in lesion detection with the automated breast volume scanner (ABVS) |
title_short | Diagnostic performance and inter-observer concordance in lesion detection with the automated breast volume scanner (ABVS) |
title_sort | diagnostic performance and inter-observer concordance in lesion detection with the automated breast volume scanner (abvs) |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3831756/ https://www.ncbi.nlm.nih.gov/pubmed/24219312 http://dx.doi.org/10.1186/1471-2342-13-36 |
work_keys_str_mv | AT wojcinskisebastian diagnosticperformanceandinterobserverconcordanceinlesiondetectionwiththeautomatedbreastvolumescannerabvs AT gyapongsamuel diagnosticperformanceandinterobserverconcordanceinlesiondetectionwiththeautomatedbreastvolumescannerabvs AT farrokhandre diagnosticperformanceandinterobserverconcordanceinlesiondetectionwiththeautomatedbreastvolumescannerabvs AT soergelphilipp diagnosticperformanceandinterobserverconcordanceinlesiondetectionwiththeautomatedbreastvolumescannerabvs AT hillemannspeter diagnosticperformanceandinterobserverconcordanceinlesiondetectionwiththeautomatedbreastvolumescannerabvs AT degenhardtfriedrich diagnosticperformanceandinterobserverconcordanceinlesiondetectionwiththeautomatedbreastvolumescannerabvs |