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Dedicated Breast CT: Feasibility for Monitoring Neoadjuvant Chemotherapy Treatment
OBJECTIVES: In this prospective pilot study, the feasibility of non-contrast dedicated breast computed tomography (bCT) to determine primary tumor volume and monitor its changes during neoadjuvant chemotherapy (NAC) treatment was investigated. MATERIALS AND METHODS: Eleven women who underwent NAC we...
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Medknow Publications & Media Pvt Ltd
2014
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4278089/ https://www.ncbi.nlm.nih.gov/pubmed/25558431 http://dx.doi.org/10.4103/2156-7514.145867 |
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author | Vedantham, Srinivasan O’Connell, Avice M Shi, Linxi Karellas, Andrew Huston, Alissa J Skinner, Kristin A |
author_facet | Vedantham, Srinivasan O’Connell, Avice M Shi, Linxi Karellas, Andrew Huston, Alissa J Skinner, Kristin A |
author_sort | Vedantham, Srinivasan |
collection | PubMed |
description | OBJECTIVES: In this prospective pilot study, the feasibility of non-contrast dedicated breast computed tomography (bCT) to determine primary tumor volume and monitor its changes during neoadjuvant chemotherapy (NAC) treatment was investigated. MATERIALS AND METHODS: Eleven women who underwent NAC were imaged with a clinical prototype dedicated bCT system at three time points – pre-, mid-, and post-treatment. The study radiologist marked the boundary of the primary tumor from which the tumor volume was quantified. An automated algorithm was developed to quantify the primary tumor volume for comparison with radiologist's segmentation. The correlation between pre-treatment tumor volumes from bCT and MRI, and the correlation and concordance in tumor size between post-treatment bCT and pathology were determined. RESULTS: Tumor volumes from automated and radiologist's segmentations were correlated (Pearson's r = 0.935, P < 0.001) and were not different over all time points [P = 0.808, repeated measures analysis of variance (ANOVA)]. Pre-treatment tumor volumes from MRI and bCT were correlated (r = 0.905, P < 0.001). Tumor size from post-treatment bCT was correlated with pathology (r = 0.987, P = 0.002) for invasive ductal carcinoma larger than 5 mm and the maximum difference in tumor size was 0.57 cm. The presence of biopsy clip (3 mm) limited the ability to accurately measure tumors smaller than 5 mm. All study participants were pathologically assessed to be responders, with three subjects experiencing complete pathologic response for invasive cancer and the reminder experiencing partial response. Compared to pre-treatment tumor volume, there was a statistically significant (P = 0.0003, paired t-test) reduction in tumor volume at mid-treatment observed with bCT, with an average tumor volume reduction of 47%. CONCLUSIONS: This pilot study suggests that dedicated non-contrast bCT has the potential to serve as an expedient imaging tool for monitoring tumor volume changes during NAC. Larger studies are needed in future. |
format | Online Article Text |
id | pubmed-4278089 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2014 |
publisher | Medknow Publications & Media Pvt Ltd |
record_format | MEDLINE/PubMed |
spelling | pubmed-42780892015-01-02 Dedicated Breast CT: Feasibility for Monitoring Neoadjuvant Chemotherapy Treatment Vedantham, Srinivasan O’Connell, Avice M Shi, Linxi Karellas, Andrew Huston, Alissa J Skinner, Kristin A J Clin Imaging Sci Original Article OBJECTIVES: In this prospective pilot study, the feasibility of non-contrast dedicated breast computed tomography (bCT) to determine primary tumor volume and monitor its changes during neoadjuvant chemotherapy (NAC) treatment was investigated. MATERIALS AND METHODS: Eleven women who underwent NAC were imaged with a clinical prototype dedicated bCT system at three time points – pre-, mid-, and post-treatment. The study radiologist marked the boundary of the primary tumor from which the tumor volume was quantified. An automated algorithm was developed to quantify the primary tumor volume for comparison with radiologist's segmentation. The correlation between pre-treatment tumor volumes from bCT and MRI, and the correlation and concordance in tumor size between post-treatment bCT and pathology were determined. RESULTS: Tumor volumes from automated and radiologist's segmentations were correlated (Pearson's r = 0.935, P < 0.001) and were not different over all time points [P = 0.808, repeated measures analysis of variance (ANOVA)]. Pre-treatment tumor volumes from MRI and bCT were correlated (r = 0.905, P < 0.001). Tumor size from post-treatment bCT was correlated with pathology (r = 0.987, P = 0.002) for invasive ductal carcinoma larger than 5 mm and the maximum difference in tumor size was 0.57 cm. The presence of biopsy clip (3 mm) limited the ability to accurately measure tumors smaller than 5 mm. All study participants were pathologically assessed to be responders, with three subjects experiencing complete pathologic response for invasive cancer and the reminder experiencing partial response. Compared to pre-treatment tumor volume, there was a statistically significant (P = 0.0003, paired t-test) reduction in tumor volume at mid-treatment observed with bCT, with an average tumor volume reduction of 47%. CONCLUSIONS: This pilot study suggests that dedicated non-contrast bCT has the potential to serve as an expedient imaging tool for monitoring tumor volume changes during NAC. Larger studies are needed in future. Medknow Publications & Media Pvt Ltd 2014-11-29 /pmc/articles/PMC4278089/ /pubmed/25558431 http://dx.doi.org/10.4103/2156-7514.145867 Text en Copyright: © 2014 Vedantham S. http://creativecommons.org/licenses/by-nc-sa/3.0 This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. |
spellingShingle | Original Article Vedantham, Srinivasan O’Connell, Avice M Shi, Linxi Karellas, Andrew Huston, Alissa J Skinner, Kristin A Dedicated Breast CT: Feasibility for Monitoring Neoadjuvant Chemotherapy Treatment |
title | Dedicated Breast CT: Feasibility for Monitoring Neoadjuvant Chemotherapy Treatment |
title_full | Dedicated Breast CT: Feasibility for Monitoring Neoadjuvant Chemotherapy Treatment |
title_fullStr | Dedicated Breast CT: Feasibility for Monitoring Neoadjuvant Chemotherapy Treatment |
title_full_unstemmed | Dedicated Breast CT: Feasibility for Monitoring Neoadjuvant Chemotherapy Treatment |
title_short | Dedicated Breast CT: Feasibility for Monitoring Neoadjuvant Chemotherapy Treatment |
title_sort | dedicated breast ct: feasibility for monitoring neoadjuvant chemotherapy treatment |
topic | Original Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4278089/ https://www.ncbi.nlm.nih.gov/pubmed/25558431 http://dx.doi.org/10.4103/2156-7514.145867 |
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