Pathologie (Heidelberg, Germany) · 2026
[Virtual histopathology of the pancreas: 3D insights using synchrotron-based imaging].
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Gaida Matthias Martin, Hessel Lukas, Schimmel Caroline Victoria, Schulze Klara, Wagner Verena, Mayer Philipp, Albers Jonas, Duke Elizabeth, Loos Martin, Salg Gabriel Alexander
Аннотация
BACKGROUND: Conventional histopathology faces methodological limitations when assessing complex three-dimensional tissue architectures. In particular, for heterogeneous tissues such as the pancreas or in complex tissue pathologies, restriction to two-dimensional sections hampers comprehensive recognition of morphological features.
OBJECTIVE: This study aims to demonstrate the potential of synchrotron-based phase-contrast imaging (SRµCT) as a tool for high-resolution visualization of pancreatic tissue. Three representative case examples were analyzed to capture morphological parameters volumetrically and correlate them with immunohistochemical marker profiles.
MATERIALS AND METHODS: Tissue cores from formalin-fixed, paraffin-embedded human pancreatic samples were volumetrically assessed using SRµCT. The investigated material was further processed as microarrays. Serial sections and immunohistochemical stains were correlated with the 3D datasets.
RESULTS: SRµCT enabled detailed spatial visualization of functional compartments and neoplastic infiltration patterns. Non-neoplastic tissue revealed distinct morphological compartments. A well-differentiated neuroendocrine tumor exhibited trabecular architecture, whereas ductal adenocarcinoma displayed infiltrative growth with diffuse, heterogeneous architecture, irregular duct formations and stromal desmoplasia. Virtual slicing permitted orientation-independent analyses. Correlation with immunohistochemical profiles validated the morphofunctional findings.
CONCLUSION: SRµCT is a sensitive, non-invasive technique providing label-free 3D insights into pancreatic architecture. It opens new perspectives for research, teaching, and potentially advanced diagnostic applications.
OBJECTIVE: This study aims to demonstrate the potential of synchrotron-based phase-contrast imaging (SRµCT) as a tool for high-resolution visualization of pancreatic tissue. Three representative case examples were analyzed to capture morphological parameters volumetrically and correlate them with immunohistochemical marker profiles.
MATERIALS AND METHODS: Tissue cores from formalin-fixed, paraffin-embedded human pancreatic samples were volumetrically assessed using SRµCT. The investigated material was further processed as microarrays. Serial sections and immunohistochemical stains were correlated with the 3D datasets.
RESULTS: SRµCT enabled detailed spatial visualization of functional compartments and neoplastic infiltration patterns. Non-neoplastic tissue revealed distinct morphological compartments. A well-differentiated neuroendocrine tumor exhibited trabecular architecture, whereas ductal adenocarcinoma displayed infiltrative growth with diffuse, heterogeneous architecture, irregular duct formations and stromal desmoplasia. Virtual slicing permitted orientation-independent analyses. Correlation with immunohistochemical profiles validated the morphofunctional findings.
CONCLUSION: SRµCT is a sensitive, non-invasive technique providing label-free 3D insights into pancreatic architecture. It opens new perspectives for research, teaching, and potentially advanced diagnostic applications.