Cargando…
Morphometric Assessment of Confocal Laser Endomicroscopy for Pancreatic Ductal Adenocarcinoma, an Ex-Vivo Pilot Study
Ex-vivo freshly surgical removed pancreatic ductal adenocarcinoma (PDAC) specimens were assessed using pCLE and then processed for paraffin embeding and histopathological diagnostic in an endeavour to find putative image analysis algorithms that might recognise adenocarcinoma. Methods: Twelve patien...
Autores principales: | , , , , , , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2020
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7696051/ https://www.ncbi.nlm.nih.gov/pubmed/33182544 http://dx.doi.org/10.3390/diagnostics10110923 |
_version_ | 1783615320229937152 |
---|---|
author | Ungureanu, Bogdan Silviu Pirici, Daniel Dima, Simona Olimpia Popescu, Irinel Hundorfean, Gheorghe Surlin, Valeriu Saftoiu, Adrian |
author_facet | Ungureanu, Bogdan Silviu Pirici, Daniel Dima, Simona Olimpia Popescu, Irinel Hundorfean, Gheorghe Surlin, Valeriu Saftoiu, Adrian |
author_sort | Ungureanu, Bogdan Silviu |
collection | PubMed |
description | Ex-vivo freshly surgical removed pancreatic ductal adenocarcinoma (PDAC) specimens were assessed using pCLE and then processed for paraffin embeding and histopathological diagnostic in an endeavour to find putative image analysis algorithms that might recognise adenocarcinoma. Methods: Twelve patients diagnosed with PDAC on endoscopic ultrasound and FNA confirmation underwent surgery. Removed samples were sprayed with acriflavine as contrast agent, underwent pCLE with an experimental probe and compared with previous recordings of normal pancreatic tissue. Subsequently, all samples were subjected to cross-sectional histopathology, including surgical resection margins for controls. pCLE records, as well as corespondant cytokeratin-targeted immunohistochemistry images were processed using the same morphological classifiers in the Image ProPlus AMS image analysis software. Specific morphometric classifiers were automatically generated on all images: Area, Hole Area (HA), Perimeter, Roundness, Integrated Optical Density (IOD), Fractal Dimension (FD), Ferret max (Fmax), Ferret mean (Fmean), Heterogeneity and Clumpiness. Results: After histopathological confirmation of adenocarcinoma areas, we have found that the same morphological classifiers could clearly differentiate between tumor and non-tumor areas on both pathology and correspondand pCLE (area, roundness, IOD, ferret and heterogeneity (p < 0.001), perimeter and hole area (p < 0.05). Conclusions: This pilot study proves that classical morphometrical classifiers can clearly differentiate adenocarcimoma on pCLE data, and the implementation in a live image-analysis algorithm might help in improving the specificity of pCLE in vivo diagnostic. |
format | Online Article Text |
id | pubmed-7696051 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-76960512020-11-29 Morphometric Assessment of Confocal Laser Endomicroscopy for Pancreatic Ductal Adenocarcinoma, an Ex-Vivo Pilot Study Ungureanu, Bogdan Silviu Pirici, Daniel Dima, Simona Olimpia Popescu, Irinel Hundorfean, Gheorghe Surlin, Valeriu Saftoiu, Adrian Diagnostics (Basel) Article Ex-vivo freshly surgical removed pancreatic ductal adenocarcinoma (PDAC) specimens were assessed using pCLE and then processed for paraffin embeding and histopathological diagnostic in an endeavour to find putative image analysis algorithms that might recognise adenocarcinoma. Methods: Twelve patients diagnosed with PDAC on endoscopic ultrasound and FNA confirmation underwent surgery. Removed samples were sprayed with acriflavine as contrast agent, underwent pCLE with an experimental probe and compared with previous recordings of normal pancreatic tissue. Subsequently, all samples were subjected to cross-sectional histopathology, including surgical resection margins for controls. pCLE records, as well as corespondant cytokeratin-targeted immunohistochemistry images were processed using the same morphological classifiers in the Image ProPlus AMS image analysis software. Specific morphometric classifiers were automatically generated on all images: Area, Hole Area (HA), Perimeter, Roundness, Integrated Optical Density (IOD), Fractal Dimension (FD), Ferret max (Fmax), Ferret mean (Fmean), Heterogeneity and Clumpiness. Results: After histopathological confirmation of adenocarcinoma areas, we have found that the same morphological classifiers could clearly differentiate between tumor and non-tumor areas on both pathology and correspondand pCLE (area, roundness, IOD, ferret and heterogeneity (p < 0.001), perimeter and hole area (p < 0.05). Conclusions: This pilot study proves that classical morphometrical classifiers can clearly differentiate adenocarcimoma on pCLE data, and the implementation in a live image-analysis algorithm might help in improving the specificity of pCLE in vivo diagnostic. MDPI 2020-11-10 /pmc/articles/PMC7696051/ /pubmed/33182544 http://dx.doi.org/10.3390/diagnostics10110923 Text en © 2020 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Article Ungureanu, Bogdan Silviu Pirici, Daniel Dima, Simona Olimpia Popescu, Irinel Hundorfean, Gheorghe Surlin, Valeriu Saftoiu, Adrian Morphometric Assessment of Confocal Laser Endomicroscopy for Pancreatic Ductal Adenocarcinoma, an Ex-Vivo Pilot Study |
title | Morphometric Assessment of Confocal Laser Endomicroscopy for Pancreatic Ductal Adenocarcinoma, an Ex-Vivo Pilot Study |
title_full | Morphometric Assessment of Confocal Laser Endomicroscopy for Pancreatic Ductal Adenocarcinoma, an Ex-Vivo Pilot Study |
title_fullStr | Morphometric Assessment of Confocal Laser Endomicroscopy for Pancreatic Ductal Adenocarcinoma, an Ex-Vivo Pilot Study |
title_full_unstemmed | Morphometric Assessment of Confocal Laser Endomicroscopy for Pancreatic Ductal Adenocarcinoma, an Ex-Vivo Pilot Study |
title_short | Morphometric Assessment of Confocal Laser Endomicroscopy for Pancreatic Ductal Adenocarcinoma, an Ex-Vivo Pilot Study |
title_sort | morphometric assessment of confocal laser endomicroscopy for pancreatic ductal adenocarcinoma, an ex-vivo pilot study |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7696051/ https://www.ncbi.nlm.nih.gov/pubmed/33182544 http://dx.doi.org/10.3390/diagnostics10110923 |
work_keys_str_mv | AT ungureanubogdansilviu morphometricassessmentofconfocallaserendomicroscopyforpancreaticductaladenocarcinomaanexvivopilotstudy AT piricidaniel morphometricassessmentofconfocallaserendomicroscopyforpancreaticductaladenocarcinomaanexvivopilotstudy AT dimasimonaolimpia morphometricassessmentofconfocallaserendomicroscopyforpancreaticductaladenocarcinomaanexvivopilotstudy AT popescuirinel morphometricassessmentofconfocallaserendomicroscopyforpancreaticductaladenocarcinomaanexvivopilotstudy AT hundorfeangheorghe morphometricassessmentofconfocallaserendomicroscopyforpancreaticductaladenocarcinomaanexvivopilotstudy AT surlinvaleriu morphometricassessmentofconfocallaserendomicroscopyforpancreaticductaladenocarcinomaanexvivopilotstudy AT saftoiuadrian morphometricassessmentofconfocallaserendomicroscopyforpancreaticductaladenocarcinomaanexvivopilotstudy |