SHG/TPEF-based image technology improves liver fibrosis assessment of minimally sized needle biopsies

Wang, Bingqiong; Sun, Yameng; Zhou, Jialing; Wu, Xiaoning; Chen, Shuyan; Shi, Yiwen; Wu, Shanshan; Liu, Hui; Ren, Yayun; Ou, Xiaojuan; Jia, Jidong; You, Hong

doi:10.1007/s12072-019-09955-2

Cited by 10 publications

(9 citation statements)

References 25 publications

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“…In recent years, many studies have utilized analytic imaging tools to quantify the amount of collagen. Through machine learning and deep neural learning networks, such automated measurements have shown considerable correlations to outcomes [ 26 , 27 , 28 , 29 , 30 , 31 , 32 ]. As a result, clinical trials are exploring the utility of such technologies in the definition of their trial endpoints.…”

Section: Discussionmentioning

confidence: 99%

An Improved qFibrosis Algorithm for Precise Screening and Enrollment into Non-Alcoholic Steatohepatitis (NASH) Clinical Trials

et al. 2020

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Background: Many clinical trials with potential drug treatment options for non-alcoholic fatty liver disease (NAFLD) are focused on patients with non-alcoholic steatohepatitis (NASH) stages 2 and 3 fibrosis. As the histological features differentiating stage 1 (F1) from stage 2 (F2) NASH fibrosis are subtle, some patients may be wrongly staged by the in-house pathologist and miss the opportunity for enrollment into clinical trials. We hypothesized that our refined artificial intelligence (AI)-based algorithm (qFibrosis) can identify these subtle differences and serve as an assistive tool for in-house pathologists. Methods: Liver tissue from 160 adult patients with biopsy-proven NASH from Singapore General Hospital (SGH) and Peking University People’s Hospital (PKUH) were used. A consensus read by two expert hepatopathologists was organized. The refined qFibrosis algorithm incorporated the creation of a periportal region that allowed for the increased detection of periportal fibrosis. Consequently, an additional 28 periportal parameters were added, and 28 pre-existing perisinusoidal parameters had altered definitions. Results: Twenty-eight parameters (20 periportal and 8 perisinusoidal) were significantly different between the F1 and F2 cases that prompted a change of stage after a careful consensus read. The discriminatory ability of these parameters was further demonstrated in a comparison between the true F1 and true F2 cases as 26 out of the 28 parameters showed significant differences. These 26 parameters constitute a novel sub-algorithm that could accurately stratify F1 and F2 cases. Conclusion: The refined qFibrosis algorithm incorporated 26 novel parameters that showed a good discriminatory ability for NASH fibrosis stage 1 and 2 cases, representing an invaluable assistive tool for in-house pathologists when screening patients for NASH clinical trials.

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Section: Discussionmentioning

confidence: 99%

An Improved qFibrosis Algorithm for Precise Screening and Enrollment into Non-Alcoholic Steatohepatitis (NASH) Clinical Trials

et al. 2020

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“…Histological methods can distinguish between a fibrous tissue and a normal one, but this analysis takes several days and does not provide information about pathological changes in dynamics. The second harmonic generation (SHG) method makes it possible to qualitatively and quantitatively evaluate the accumulation of collagen in tissue and thus determine the stage of fibrosis [105][106][107].…”

Section: Promising Methods For Assessing the Structure Function Andmentioning

confidence: 99%

Modern Methods for Assessing the Regenerative Potential of the Liver after Partial Hepatectomy (Review)

Rodimova¹,

Kuznetsova²,

Bobrov³

et al. 2019

Sovrem Tehnol Med

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The review addresses the main methods for assessing the function and regenerative potential of the liver. They include both the traditional methods, commonly used in clinical practice, and the latest promising techniques suitable for the analysis of cellular and tissue pathology and having a proven diagnostic value.It is known that the dynamics of liver regeneration is reflected in the metabolic status of liver cells, their morphology, and the molecular rearrangement. Therefore, by looking at these parameters we will be able to assess the regenerative potential of the liver as a whole.At present, the most promising method is represented by multiphoton microscopy able to generate the second harmonic; there are also such techniques as coherent anti-stokes Raman spectroscopy (CARS), stimulated Raman scattering (SRS) microscopy, and fluorescence lifetime imaging microscopy (FLIM). In addition, a number of options for analyzing metabolic and structural changes are provided by mass spectrometry, in particular time-of-flight secondary ion mass spectrometry (ToF-SIMS). Studies using these methods with in vivo models and with human biopsy samples demonstrate their relevance in biomedical research and in clinical practice alike.

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“…The spatial arrangement of collagen in stroma has also been observed in breast cancer and liver metastasis tissue samples using second harmonic generation spectroscopy (Scodellaro et al, 2019;Wang et al, 2019). Collagen patterns are associated with degree of tumor invasiveness (Pankova et al, 2016;Provenzano et al, 2008).…”

Section: Collagenmentioning

confidence: 99%

Molecular imaging of extracellular matrix proteins with targeted probes using magnetic resonance imaging

Salarian

Ibhagui

Yang

2020

WIREs Nanomed Nanobiotechnol

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The extracellular matrix (ECM) consists of proteins and carbohydrates that supports different biological structures and processes such as tissue development, elasticity, and preservation of organ structure. Diseases involving inflammation, fibrosis, tumor invasion, and injury are all attributed to the transition of the ECM from homeostasis to remodeling, which can significantly change the biochemical and biomechanical features of ECM components. While contrast agents have played an indispensable role in facilitating clinical diagnosis of diseases using magnetic resonance imaging (MRI), there is a strong need to develop novel biomarker‐targeted imaging probes for in vivo visualization of biological processes and pathological alterations at a cellular and molecular level, for both early diagnosis and monitoring drug treatment. Herein, we will first review the pathological accumulation and characterization of ECM proteins recognized as important molecular features of diseases. Developments in MRI probes targeting ECM proteins such as collagen, fibronectin, and elastin via conjugation of existing contrast agents to targeting moieties and their applications to various diseases, are also reviewed. We have also reviewed our progress in the development of collagen‐targeted protein MRI contrast agent with significant improvement in relaxivity and metal binding specificity, and their applications in early detection of fibrosis and metastatic cancer. This article is categorized under: Diagnostic Tools > in vivo Nanodiagnostics and Imaging Biology‐Inspired Nanomaterials > Peptide‐Based Structures Biology‐Inspired Nanomaterials > Protein and Virus‐Based Structures

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SHG/TPEF-based image technology improves liver fibrosis assessment of minimally sized needle biopsies

Cited by 10 publications

References 25 publications

An Improved qFibrosis Algorithm for Precise Screening and Enrollment into Non-Alcoholic Steatohepatitis (NASH) Clinical Trials

An Improved qFibrosis Algorithm for Precise Screening and Enrollment into Non-Alcoholic Steatohepatitis (NASH) Clinical Trials

Modern Methods for Assessing the Regenerative Potential of the Liver after Partial Hepatectomy (Review)

Molecular imaging of extracellular matrix proteins with targeted probes using magnetic resonance imaging

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