Nonlinear Optical Microscopy Signal Processing Strategies in Cancer

Adur, Javier; Carvalho, Hernandes F.; César, Carlos L.; Casco, Víctor Hugo

doi:10.4137/cin.s12419

Cited by 38 publications

(50 citation statements)

References 55 publications

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“…This reflects the fact that there is a link between epithelial carcinogenesis process and progressive loss in the fine fibril structure. These results are in accordance with previous studies in which the correlation analysis was applied to the stroma of human biopsies from both different epithelial tumors and breast adenocarcinoma . For instance, these studies have demonstrated that collagen fibers were irregularly distributed without a well‐defined orientation in pathological samples, while the morphology of the collagen fibers were highly arranged in normal samples.…”

Section: Resultssupporting

confidence: 92%

“…How collagen architecture changes during pathologic status is currently used as a clinical biomarker for tumor diagnosis and staging . For example, SHG and third harmonic generation imaging have been used to monitor tumor progression and carcinogenesis . Information about the interactions between tumor cells, extracellular matrix, and epithelial‐stromal communication, as well as the initiation of collagen remodeling, can be obtained .…”

Section: Resultsmentioning

confidence: 99%

“…For example, SHG and third harmonic generation imaging have been used to monitor tumor progression and carcinogenesis . Information about the interactions between tumor cells, extracellular matrix, and epithelial‐stromal communication, as well as the initiation of collagen remodeling, can be obtained . We implemented real time SHG imaging in the microfluidic device to monitor the collagen organization during the activation period (from T 1 to T 2 ) of NF‐μTP in AC‐μTP.…”

Section: Resultsmentioning

confidence: 99%

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An Engineered Breast Cancer Model on a Chip to Replicate ECM‐Activation In Vitro during Tumor Progression

Gioiella

Urciuolo

Imparato

et al. 2016

Adv Healthcare Materials

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In this work, a new model of breast cancer is proposed featuring both epithelial and stromal tissues arranged on a microfluidic chip. The main task of the work is the in vitro replication of the stromal activation during tumor epithelial invasion. The activation of tumor stroma and its morphological/compositional changes play a key role in tumor progression. Despite emerging evidences, to date the activation of tumor stroma in vitro has not been achieved yet. The tumor-on-chip proposed in this work is built in order to replicate the features of its native counterpart: multicellularity (tumor epithelial cell and stromal cell); 3D engineered stroma compartment composed of cell-assembled extracellular matrix (ECM); reliable 3D tumor architecture. During tumor epithelial invasion the stroma displayed an activation process at both cellular and ECM level. Similarly of what repeated in vivo, ECM remodeling is found in terms of hyaluronic acid and fibronectin overexpression in the stroma compartment. Furthermore, the cell-assembled ECM featuring the stromal tissue, allowed on-line monitoring of collagen remodeling during stroma activation process via real time multiphoton microscopy. Also, trafficking of macromolecules within the stromal compartment has been monitored in real time.

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Section: Resultssupporting

confidence: 92%

Section: Resultsmentioning

confidence: 99%

Section: Resultsmentioning

confidence: 99%

See 1 more Smart Citation

An Engineered Breast Cancer Model on a Chip to Replicate ECM‐Activation In Vitro during Tumor Progression

Gioiella

Urciuolo

Imparato

et al. 2016

Adv Healthcare Materials

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“…The index indicates the fibrotic status of the dermis. The SAAID decreases with photoaging depending on an enhanced AF signal intensity from increased elastosis and a reduced SHG signal originating from a decreasing amount of collagen fibers [14,16,21,24,30,31,32]. …”

Section: Introductionmentioning

confidence: 99%

Impact of Body Site, Age, and Gender on the Collagen/Elastin Index by Noninvasive in vivo Vertical Two-Photon Microscopy

Czekalla

Schönborn

Döge

et al. 2017

Skin Pharmacol Physiol

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Background/Aims: Extrinsic and intrinsic skin aging is subject to constant remodeling and degradation processes, primarily in components of the extracellular matrix. While collagen fibers thin out during the aging process, the amorphous elastin fibers accumulate. These are essential formative components of the dermis. So far, these processes have been detected in vertical histological sections of invasive biopsies and recently in noninvasive horizontal scans. Methods: In this pilot study, a modified noninvasive 2-photon microscope was applied to measure the collagen/elastin index of skin in vivo. The obtained images permit an immediate vertical survey and allow a conclusion on the dermal composition at once. The collagen/elastin index was quantified by the second harmonic to autofluorescence aging index of dermis (SAAID) depending on volunteers' age (18-66 years), gender, and body area. Results: The highest SAAID was measured at the volar forearm as compared to the abdominal SAAID, which was significantly lower (p < 0.05). The gluteal region showed the significantly lowest SAAID (p < 0.05). The SAAID in female skin was higher compared to male skin and decreased with increasing age. Conclusion: These effects are to be considered in subsequent studies to be able to specifically detect and evaluate influences.

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“…The gray-level co-occurrence matrix (GLCM) evaluates visual texture of the image based on pixel intensity spatial arrangement statistics (Haralick et al, 1973), and is reportedly the most common and sensitive texture descriptor (Adur et al, 2014). The gray-level co-occurrence matrix (GLCM) evaluates visual texture of the image based on pixel intensity spatial arrangement statistics (Haralick et al, 1973), and is reportedly the most common and sensitive texture descriptor (Adur et al, 2014).…”

Section: Introductionmentioning

confidence: 99%

Gray-Level Co-Occurrence Matrix Texture Analysis of Breast Tumor Images in Prognosis of Distant Metastasis Risk

et al. 2015

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Owing to exceptional heterogeneity in the outcome of invasive breast cancer it is essential to develop highly accurate prognostic tools for effective therapeutic management. Based on this pressing need, we aimed to improve breast cancer prognosis by exploring the prognostic value of tumor histology image analysis. Patient group (n=78) selection was based on invasive breast cancer diagnosis without systemic treatment with a median follow-up of 147 months. Gray-level co-occurrence matrix texture analysis was performed retrospectively on primary tumor tissue section digital images stained either nonspecifically with hematoxylin and eosin or specifically with a pan-cytokeratin antibody cocktail for epithelial malignant cells. Univariate analysis revealed stronger association with metastasis risk by texture analysis when compared with clinicopathological parameters. The combination of individual clinicopathological and texture variables into composite scores resulted in further powerful enhancement of prognostic performance, with an accuracy of up to 90%, discrimination efficiency by the area under the curve [95% confidence interval (CI)] of 0.94 (0.87-0.99) and hazard ratio (95% CI) of 20.1 (7.5-109.4). Internal validation was successfully performed by bootstrap and split-sample cross-validation, suggesting that the models are generalizable. Whereas further validation is needed on an external set of patients, this preliminary study indicates the potential use of primary breast tumor histology texture as a highly accurate, simple, and cost-effective prognostic indicator of distant metastasis risk.

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Nonlinear Optical Microscopy Signal Processing Strategies in Cancer

Cited by 38 publications

References 55 publications

An Engineered Breast Cancer Model on a Chip to Replicate ECM‐Activation In Vitro during Tumor Progression

An Engineered Breast Cancer Model on a Chip to Replicate ECM‐Activation In Vitro during Tumor Progression

Impact of Body Site, Age, and Gender on the Collagen/Elastin Index by Noninvasive in vivo Vertical Two-Photon Microscopy

Gray-Level Co-Occurrence Matrix Texture Analysis of Breast Tumor Images in Prognosis of Distant Metastasis Risk

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