Correlation of X-ray diffraction signatures of breast tissue and their histopathological classification
Abstract This pilot study examines the correlation of X-ray diffraction (XRD) measurements with the histopathological analysis of breast tissue. Eight breast cancer samples were investigated. Each sample contained a mixture of normal and cancerous tissues. In total, 522 separate XRD measurements wer...
Guardado en:
| Autores principales: | , , , , , , , , |
|---|---|
| Formato: | article |
| Lenguaje: | EN |
| Publicado: |
Nature Portfolio
2017
|
| Materias: | |
| Acceso en línea: | https://doaj.org/article/51a4b6690b6843ad87afdb71e9923122 |
| Etiquetas: |
Agregar Etiqueta
Sin Etiquetas, Sea el primero en etiquetar este registro!
|
| id |
oai:doaj.org-article:51a4b6690b6843ad87afdb71e9923122 |
|---|---|
| record_format |
dspace |
| spelling |
oai:doaj.org-article:51a4b6690b6843ad87afdb71e99231222021-12-02T15:05:56ZCorrelation of X-ray diffraction signatures of breast tissue and their histopathological classification10.1038/s41598-017-13399-92045-2322https://doaj.org/article/51a4b6690b6843ad87afdb71e99231222017-10-01T00:00:00Zhttps://doi.org/10.1038/s41598-017-13399-9https://doaj.org/toc/2045-2322Abstract This pilot study examines the correlation of X-ray diffraction (XRD) measurements with the histopathological analysis of breast tissue. Eight breast cancer samples were investigated. Each sample contained a mixture of normal and cancerous tissues. In total, 522 separate XRD measurements were made at different locations across the samples (8 in total). The resulting XRD spectra were subjected to principal component analysis (PCA) in order to determine if there were any distinguishing features that could be used to identify different tissue components. 99.0% of the variation between the spectra were described by the first two principal components (PC). Comparing the location of points in PC space with the classification determined by histopathology indicated correlation between the shape/magnitude of the XRD spectra and the tissue type. These results are encouraging and suggest that XRD could be used for the intraoperative or postoperative classification of bulk tissue samples.Robert M. MossAmany S. AminChiaki CrewsColin A. PurdieLee B. JordanFrancesco IacovielloAndrew EvansRobert D. SpellerSarah J. VinnicombeNature PortfolioarticleMedicineRScienceQENScientific Reports, Vol 7, Iss 1, Pp 1-9 (2017) |
| institution |
DOAJ |
| collection |
DOAJ |
| language |
EN |
| topic |
Medicine R Science Q |
| spellingShingle |
Medicine R Science Q Robert M. Moss Amany S. Amin Chiaki Crews Colin A. Purdie Lee B. Jordan Francesco Iacoviello Andrew Evans Robert D. Speller Sarah J. Vinnicombe Correlation of X-ray diffraction signatures of breast tissue and their histopathological classification |
| description |
Abstract This pilot study examines the correlation of X-ray diffraction (XRD) measurements with the histopathological analysis of breast tissue. Eight breast cancer samples were investigated. Each sample contained a mixture of normal and cancerous tissues. In total, 522 separate XRD measurements were made at different locations across the samples (8 in total). The resulting XRD spectra were subjected to principal component analysis (PCA) in order to determine if there were any distinguishing features that could be used to identify different tissue components. 99.0% of the variation between the spectra were described by the first two principal components (PC). Comparing the location of points in PC space with the classification determined by histopathology indicated correlation between the shape/magnitude of the XRD spectra and the tissue type. These results are encouraging and suggest that XRD could be used for the intraoperative or postoperative classification of bulk tissue samples. |
| format |
article |
| author |
Robert M. Moss Amany S. Amin Chiaki Crews Colin A. Purdie Lee B. Jordan Francesco Iacoviello Andrew Evans Robert D. Speller Sarah J. Vinnicombe |
| author_facet |
Robert M. Moss Amany S. Amin Chiaki Crews Colin A. Purdie Lee B. Jordan Francesco Iacoviello Andrew Evans Robert D. Speller Sarah J. Vinnicombe |
| author_sort |
Robert M. Moss |
| title |
Correlation of X-ray diffraction signatures of breast tissue and their histopathological classification |
| title_short |
Correlation of X-ray diffraction signatures of breast tissue and their histopathological classification |
| title_full |
Correlation of X-ray diffraction signatures of breast tissue and their histopathological classification |
| title_fullStr |
Correlation of X-ray diffraction signatures of breast tissue and their histopathological classification |
| title_full_unstemmed |
Correlation of X-ray diffraction signatures of breast tissue and their histopathological classification |
| title_sort |
correlation of x-ray diffraction signatures of breast tissue and their histopathological classification |
| publisher |
Nature Portfolio |
| publishDate |
2017 |
| url |
https://doaj.org/article/51a4b6690b6843ad87afdb71e9923122 |
| work_keys_str_mv |
AT robertmmoss correlationofxraydiffractionsignaturesofbreasttissueandtheirhistopathologicalclassification AT amanysamin correlationofxraydiffractionsignaturesofbreasttissueandtheirhistopathologicalclassification AT chiakicrews correlationofxraydiffractionsignaturesofbreasttissueandtheirhistopathologicalclassification AT colinapurdie correlationofxraydiffractionsignaturesofbreasttissueandtheirhistopathologicalclassification AT leebjordan correlationofxraydiffractionsignaturesofbreasttissueandtheirhistopathologicalclassification AT francescoiacoviello correlationofxraydiffractionsignaturesofbreasttissueandtheirhistopathologicalclassification AT andrewevans correlationofxraydiffractionsignaturesofbreasttissueandtheirhistopathologicalclassification AT robertdspeller correlationofxraydiffractionsignaturesofbreasttissueandtheirhistopathologicalclassification AT sarahjvinnicombe correlationofxraydiffractionsignaturesofbreasttissueandtheirhistopathologicalclassification |
| _version_ |
1718388643688611840 |