Label-free multiphoton microscopy enables histopathological assessment of colorectal liver metastases and supports automated classification of neoplastic tissue
Research output: Contribution to journal › Research article › Contributed › peer-review
Contributors
Abstract
As the state of resection margins is an important prognostic factor after extirpation of colorectal liver metastases, surgeons aim to obtain negative margins, sometimes elaborated by resections of the positive resection plane after intraoperative frozen sections. However, this is time consuming and results sometimes remain unclear during surgery. Label-free multimodal multiphoton microscopy (MPM) is an optical technique that retrieves morpho-chemical information avoiding all staining and that can potentially be performed in real-time. Here, we investigated colorectal liver metastases and hepatic tissue using a combination of three endogenous nonlinear signals, namely: coherent anti-Stokes Raman scattering (CARS) to visualize lipids, two-photon excited fluorescence (TPEF) to visualize cellular patterns, and second harmonic generation (SHG) to visualize collagen fibers. We acquired and analyzed over forty thousand MPM images of metastatic and normal liver tissue of 106 patients. The morphological information with biochemical specificity produced by MPM allowed discriminating normal liver from metastatic tissue and discerning the tumor borders on cryosections as well as formalin-fixed bulk tissue. Furthermore, automated tissue type classification with a correct rate close to 95% was possible using a simple approach based on discriminant analysis of texture parameters. Therefore, MPM has the potential to increase the precision of resection margins in hepatic surgery of metastases without prolonging surgical intervention.
Details
Original language | English |
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Pages (from-to) | 4274 |
Number of pages | 1 |
Journal | Scientific reports |
Volume | 13 |
Issue number | 1 |
Publication status | Published - 15 Mar 2023 |
Peer-reviewed | Yes |
External IDs
PubMed | 36922643 |
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WOS | 000984356200057 |
ORCID | /0000-0002-0633-0321/work/141544805 |
ORCID | /0000-0003-0554-2178/work/142249891 |
Keywords
Research priority areas of TU Dresden
DFG Classification of Subject Areas according to Review Boards
Sustainable Development Goals
ASJC Scopus subject areas
Keywords
- Humans, Margins of Excision, Microscopy, Fluorescence, Multiphoton/methods, Liver Neoplasms, Colorectal Neoplasms, Margin status, 2nd-harmonic generation, Recurrence, Hepatic resection, Survival, Chemotherapy, Surgical margin, Patterns, Prognostic impact, Cancer