Towards targeted colorectal cancer biopsy based on tissue morphology assessment by compression optical coherence elastography

Frontiers in Oncology, Journal Year: 2023, Volume and Issue: 13

Published: March 27, 2023

Identifying the precise topography of cancer for targeted biopsy in colonoscopic examination is a challenge current diagnostic practice. For first time we demonstrate use compression optical coherence elastography (C-OCE) technology as new functional OCT modality differentiating between cancerous and non-cancerous tissues colon detecting their morphological features on basis measurement tissue elastic properties. The method uses pre-determined stiffness values (Young's modulus) to distinguish different structures normal (mucosa submucosa), benign tumor (adenoma) malignant (including cells, gland-like structures, cribriform stromal fibers, extracellular mucin). After analyzing excess fifty samples, threshold value 520 kPa was suggested above which areas colorectal were detected invariably. A high Pearson correlation (r =0.98; p <0.05), negligible bias (0.22) by good agreement segmentation results C-OCE histological (reference standard) images demonstrated, indicating efficiency identify localization possibility perform biopsy. Furthermore, demonstrated ability differentiate subtypes - low-grade high-grade adenocarcinomas, mucinous adenocarcinoma, patterns. obtained ex vivo highlight prospects high-level malignancy detection. future endoscopic will allow sampling simultaneous rapid analysis heterogeneous morphology tumors.

Language: Английский

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Breaking the Resolution Barrier in Gynecologic Imaging: Clinical Validation of Ultrahigh-Resolution Oct for Real-Time Histopathological Assessment of Ovarian Follicles and Early Malignancy Detection

Published: Jan. 1, 2025

Language: Английский

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Optical Coherence Tomography Angiography, Elastography, and Attenuation Imaging for Evaluation of Liver Regeneration

Diagnostics, Journal Year: 2025, Volume and Issue: 15(8), P. 977 - 977

Published: April 11, 2025

Background/Objectives: As a result of metabolic changes and the disruption tissue architecture microcirculation, regenerative potential liver decreases with violations at both micro macro levels. The development intraoperative approaches for assessing its is important reducing risk occurrence post-resection failure. In this study, we used multimodal optical coherence tomography (MM OCT), combination three modalities-OCT-angiography (OCTA), attenuation coefficient mapping, OCT-elastography (OCE) to provide real-time three-dimensional label-free assessment in structure stiffness during regeneration. Methods: our regeneration healthy was induced by 70% partial hepatectomy. Monitoring carried out on 0 (normal liver), 3rd 7th day using modalities MM OCT. OCT offers benefits higher resolution specificity compared other clinical imaging modalities, can be used, even intraoperatively. Results: By regeneration, decreased density all observable vessels, together increased values tissue's stiffness, revealed their initial state. However, day, studied parameters tended return normal values, except that large-caliber vessels continued increase further. Histological biochemical blood analysis methods were verify data. Conclusions: Such data are first step towards further investigation pathology, and, taken perspective, should serve as basis predictive setting.

Language: Английский

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Optical coherence tomography combined with convolutional neural networks can differentiate between intrahepatic cholangiocarcinoma and liver parenchyma ex vivo

Journal of Cancer Research and Clinical Oncology, Journal Year: 2023, Volume and Issue: 149(10), P. 7877 - 7885

Published: April 12, 2023

Abstract Purpose Surgical resection with complete tumor excision (R0) provides the best chance of long-term survival for patients intrahepatic cholangiocarcinoma (iCCA). A non-invasive imaging technology, which could provide quick intraoperative assessment margins, as an adjunct to histological examination, is optical coherence tomography (OCT). In this study, we investigated ability OCT combined convolutional neural networks (CNN), differentiate iCCA from normal liver parenchyma ex vivo. Methods Consecutive adult undergoing elective resections between June 2020 and April 2021 ( n = 11) were included in study. Areas interest specimens scanned vivo, before formalin fixation, using a table-top device at 1310 nm wavelength. Scanned areas marked histologically examined, providing diagnosis each scan. An Xception CNN was trained, validated, tested matching scans their corresponding diagnoses, through 5 × stratified cross-validation process. Results Twenty-four three-dimensional (corresponding approx. 85,603 individual) ten analysis. cross-validation, model achieved mean F1-score, sensitivity, specificity 0.94, 0.93, respectively. Conclusion Optical can Further studies are necessary expand on these results lead innovative vivo applications, such or endoscopic scanning.

Language: Английский

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Value of prognostic scoring systems in the era of multimodal therapy for recurrent colorectal liver metastases

HPB, Journal Year: 2023, Volume and Issue: 25(11), P. 1354 - 1363

Published: June 28, 2023

Language: Английский

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Outcome prediction after resection of colorectal cancer liver metastases: out with the old, in with the new?

HepatoBiliary Surgery and Nutrition, Journal Year: 2024, Volume and Issue: 13(4), P. 732 - 735

Published: July 24, 2024

Language: Английский

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Artificial intelligence-powered precision: Unveiling the landscape of liver disease diagnosis—A comprehensive review

Engineering Applications of Artificial Intelligence, Journal Year: 2024, Volume and Issue: 138, P. 109452 - 109452

Published: Oct. 22, 2024

Language: Английский

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