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The role of molecular breast imaging in predicting complete tumor response to treatment and residual tumor extent following neoadjuvant therapy
The aim of the present study was to investigate the usefulness of molecular breast imaging (MBI) in predicting complete tumor response to treatment and residual tumor extent following neoadjuvant therapy. A consecutive series of 43 female patients with large or locally advanced primary breast cancer...
Autores principales: | , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
D.A. Spandidos
2018
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5928762/ https://www.ncbi.nlm.nih.gov/pubmed/29512735 http://dx.doi.org/10.3892/or.2018.6299 |
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author | Nuvoli, Susanna Galassi, Sarah Gelo, Ilaria Rocchitta, Gaia Fancellu, Alessandro Serra, Pier Andrea Madeddu, Giuseppe Spanu, Angela |
author_facet | Nuvoli, Susanna Galassi, Sarah Gelo, Ilaria Rocchitta, Gaia Fancellu, Alessandro Serra, Pier Andrea Madeddu, Giuseppe Spanu, Angela |
author_sort | Nuvoli, Susanna |
collection | PubMed |
description | The aim of the present study was to investigate the usefulness of molecular breast imaging (MBI) in predicting complete tumor response to treatment and residual tumor extent following neoadjuvant therapy. A consecutive series of 43 female patients with large or locally advanced primary breast cancer, scheduled for surgery following neoadjuvant therapy, was retrospectively reviewed. Prior to surgery, all patients underwent MBI using a high-resolution semiconductor-based device for image acquisition. MBI data were correlated with surgical histopathological findings. Spearman's correlation coefficient was calculated to assess differences in residual tumor size with MBI and histopathological examination. From the images obtained using MBI, 7 patients were negative for residual tumors with pathological complete response (specificity, 100%) and positive in 34/36 patients with residual disease (sensitivity, 94.4%), including 26/27 patients with unifocal and 8/9 patients with multicentric/multifocal tumors, 5 of which exhibited multiple microscopic foci scattered in a fibrotic area. Overall accuracy was 95.3% and the positive predictive value (PPV) and negative predictive value (NPV) were 100 and 77.8%, respectively. MBI was false-negative in one patient with a 2.5-cm invasive ductal carcinoma located close to the chest wall and in one patient with microscopic foci of epithelial carcinoma. In the patients with unifocal residual tumors, correlation of tumor size between MBI and histopathology was r=0.981 (P<0.0001); however, MBI overestimated the number of lesions in one of these cases. In the patients with multifocal/multicentric tumors, MBI adequately assessed residual tumor extent in 5/8 positive cases, overestimating the number of lesions in one case and underestimating tumor extent in 2 further cases with microscopic foci scattered in a fibrotic area. MBI proved to be a highly accurate diagnostic tool in predicting complete tumor response to neoadjuvant therapy and residual tumor extent, correlating with surgical histopathological findings in 86% of overall cases. A positive result was always associated with the presence of residual disease and MBI tumor size was strongly correlated with histopathological analysis mainly in unifocal residual tumors. |
format | Online Article Text |
id | pubmed-5928762 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2018 |
publisher | D.A. Spandidos |
record_format | MEDLINE/PubMed |
spelling | pubmed-59287622018-05-07 The role of molecular breast imaging in predicting complete tumor response to treatment and residual tumor extent following neoadjuvant therapy Nuvoli, Susanna Galassi, Sarah Gelo, Ilaria Rocchitta, Gaia Fancellu, Alessandro Serra, Pier Andrea Madeddu, Giuseppe Spanu, Angela Oncol Rep Articles The aim of the present study was to investigate the usefulness of molecular breast imaging (MBI) in predicting complete tumor response to treatment and residual tumor extent following neoadjuvant therapy. A consecutive series of 43 female patients with large or locally advanced primary breast cancer, scheduled for surgery following neoadjuvant therapy, was retrospectively reviewed. Prior to surgery, all patients underwent MBI using a high-resolution semiconductor-based device for image acquisition. MBI data were correlated with surgical histopathological findings. Spearman's correlation coefficient was calculated to assess differences in residual tumor size with MBI and histopathological examination. From the images obtained using MBI, 7 patients were negative for residual tumors with pathological complete response (specificity, 100%) and positive in 34/36 patients with residual disease (sensitivity, 94.4%), including 26/27 patients with unifocal and 8/9 patients with multicentric/multifocal tumors, 5 of which exhibited multiple microscopic foci scattered in a fibrotic area. Overall accuracy was 95.3% and the positive predictive value (PPV) and negative predictive value (NPV) were 100 and 77.8%, respectively. MBI was false-negative in one patient with a 2.5-cm invasive ductal carcinoma located close to the chest wall and in one patient with microscopic foci of epithelial carcinoma. In the patients with unifocal residual tumors, correlation of tumor size between MBI and histopathology was r=0.981 (P<0.0001); however, MBI overestimated the number of lesions in one of these cases. In the patients with multifocal/multicentric tumors, MBI adequately assessed residual tumor extent in 5/8 positive cases, overestimating the number of lesions in one case and underestimating tumor extent in 2 further cases with microscopic foci scattered in a fibrotic area. MBI proved to be a highly accurate diagnostic tool in predicting complete tumor response to neoadjuvant therapy and residual tumor extent, correlating with surgical histopathological findings in 86% of overall cases. A positive result was always associated with the presence of residual disease and MBI tumor size was strongly correlated with histopathological analysis mainly in unifocal residual tumors. D.A. Spandidos 2018-05 2018-03-06 /pmc/articles/PMC5928762/ /pubmed/29512735 http://dx.doi.org/10.3892/or.2018.6299 Text en Copyright: © Nuvoli et al. This is an open access article distributed under the terms of the Creative Commons Attribution-NonCommercial-NoDerivs License (https://creativecommons.org/licenses/by-nc-nd/4.0/) , which permits use and distribution in any medium, provided the original work is properly cited, the use is non-commercial and no modifications or adaptations are made. |
spellingShingle | Articles Nuvoli, Susanna Galassi, Sarah Gelo, Ilaria Rocchitta, Gaia Fancellu, Alessandro Serra, Pier Andrea Madeddu, Giuseppe Spanu, Angela The role of molecular breast imaging in predicting complete tumor response to treatment and residual tumor extent following neoadjuvant therapy |
title | The role of molecular breast imaging in predicting complete tumor response to treatment and residual tumor extent following neoadjuvant therapy |
title_full | The role of molecular breast imaging in predicting complete tumor response to treatment and residual tumor extent following neoadjuvant therapy |
title_fullStr | The role of molecular breast imaging in predicting complete tumor response to treatment and residual tumor extent following neoadjuvant therapy |
title_full_unstemmed | The role of molecular breast imaging in predicting complete tumor response to treatment and residual tumor extent following neoadjuvant therapy |
title_short | The role of molecular breast imaging in predicting complete tumor response to treatment and residual tumor extent following neoadjuvant therapy |
title_sort | role of molecular breast imaging in predicting complete tumor response to treatment and residual tumor extent following neoadjuvant therapy |
topic | Articles |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5928762/ https://www.ncbi.nlm.nih.gov/pubmed/29512735 http://dx.doi.org/10.3892/or.2018.6299 |
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