Andrey Bychkov

ORCID: 0000-0002-4203-5696
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About
Contact & Profiles
Research Areas
  • Thyroid Cancer Diagnosis and Treatment
  • AI in cancer detection
  • Head and Neck Anomalies
  • Radiomics and Machine Learning in Medical Imaging
  • BRCA gene mutations in cancer
  • Interstitial Lung Diseases and Idiopathic Pulmonary Fibrosis
  • Cervical Cancer and HPV Research
  • Neuroendocrine Tumor Research Advances
  • Genetic factors in colorectal cancer
  • Lung Cancer Diagnosis and Treatment
  • Ovarian cancer diagnosis and treatment
  • Thyroid and Parathyroid Surgery
  • Occupational exposure and asthma
  • Salivary Gland Tumors Diagnosis and Treatment
  • Artificial Intelligence in Healthcare and Education
  • Colorectal Cancer Screening and Detection
  • Cancer-related Molecular Pathways
  • Neuroblastoma Research and Treatments
  • Global Cancer Incidence and Screening
  • Sarcoidosis and Beryllium Toxicity Research
  • Cancer Diagnosis and Treatment
  • Medical Imaging and Pathology Studies
  • S100 Proteins and Annexins
  • Thyroid Disorders and Treatments
  • Digital Imaging for Blood Diseases

Nagasaki University
2013-2025

Kameda Medical Center
2018-2025

Nagasaki University Hospital
2024

King Chulalongkorn Memorial Hospital
2023

University of Mississippi Medical Center
2022

University of Lagos
2022

University of Michigan–Ann Arbor
2022

Medical College of Wisconsin
2022

McMaster University
2022

Albany Medical Center Hospital
2022

Digital pathology provides a possibility for computational analysis of histological slides and automatization routine pathological tasks. Histological are very heterogeneous concerning staining, sections' thickness, artifacts arising during tissue processing, cutting, digitization. In this study, we digitally reproduce major types artifacts. Using six datasets from four different institutions digitized by scanner systems, systematically explore artifacts' influence on the accuracy...

10.1038/s41379-021-00859-x article EN cc-by Modern Pathology 2021-06-24

Artificial intelligence (AI) is rapidly fuelling a fundamental transformation in the practice of pathology. However, clinical integration remains challenging, with no AI algorithms to date routine adoption within typical anatomic pathology (AP) laboratories. This survey gathered current expert perspectives and expectations regarding role AP from those first-hand computational experience.Perspectives were solicited using Delphi method 24 subject matter experts between December 2020 February...

10.1016/j.ebiom.2022.104427 article EN cc-by EBioMedicine 2023-01-04

Deep learning (DL) can predict microsatellite instability (MSI) from routine histopathology slides of colorectal cancer (CRC). However, it is unclear whether DL also other biomarkers with high performance and predictions generalize to external patient populations. Here, we acquire CRC tissue samples two large multi-centric studies. We systematically compare six different state-of-the-art architectures pathology slides, including MSI mutations in BRAF, KRAS, NRAS, PIK3CA. Using a validation...

10.1016/j.xcrm.2023.100980 article EN cc-by Cell Reports Medicine 2023-03-22

<h3>Background</h3> <i>FOXE1</i> and <i>NKX2-1</i> are two known genetic risk factors for the predisposition to sporadic papillary thyroid carcinoma (PTC) in Europeans, but their association other ethnicities is still unknown. <h3>Objective</h3> We aim examine of genes with Japanese PTC, which exhibits high <i>BRAF<sup>V600E</sup></i> mutation rate. <h3>Methods</h3> 507 PTC cases 2766 controls were genotyped rs965513 (<i>FOXE1</i>) rs944289 (<i>NKX2-1</i>). also examined mutational status....

10.1136/jmedgenet-2011-100063 article EN Journal of Medical Genetics 2011-07-05

Abstract Prostate-specific membrane antigen (PSMA) is overexpressed in prostate cancer epithelium, making it a promising target for molecular imaging and therapy. Recently, several studies found unexpected PSMA radiotracer uptake by thyroid tumors, including radioiodine-refractory (RAIR) cancers. expression was reported tumor-associated endothelium of various malignancies, however has not been systematically addressed tumors. We that frequently expressed microvessels tumors (120/267), but...

10.1038/s41598-017-05481-z article EN cc-by Scientific Reports 2017-07-06

Several Western studies showed that the recent introduction of non-invasive follicular thyroid neoplasm with papillary-like nuclear features (NIFTP) significantly decreased risk malignancy for cytological diagnostic categories. We aimed to determine impact NIFTP on within a cohort nodules from Asian countries, and compare distribution categories between invasive encapsulated variant papillary carcinoma (eFV-PTC). Consecutive fine-needle aspirates six institutions were retrospectively...

10.1016/j.pathol.2017.11.088 article EN cc-by Pathology 2018-04-07

Interstitial pneumonia is a heterogeneous disease with progressive course and poor prognosis, at times even worse than those in the main cancer types. Histopathological examination crucial for its diagnosis estimation of prognosis. However, evaluation strongly depends on experience pathologists, reproducibility low. Herein, we propose MIXTURE (huMan-In-the-loop eXplainable artificial intelligence Through Use REcurrent training), an original method to develop deep learning models extracting...

10.1038/s41379-022-01025-7 article EN cc-by Modern Pathology 2022-02-23

In line with the release of 5th edition WHO Classification Tumors Endocrine Organs (2022) and 3rd Bethesda System for Reporting Thyroid Cytopathology (2023), field thyroid pathology cytopathology has witnessed key transformations. This digest brings to fore refined terminologies, newly introduced categories, contentious methodological considerations pivotal updated classification.

10.4132/jptm.2024.03.06 article EN cc-by-nc Journal of Pathology and Translational Medicine 2024-03-15

To evaluate the current diagnostic criteria in reporting nuclear features of noninvasive follicular thyroid neoplasm with papillary‐like (NIFTP), nine Asian pathologists expertise reviewed virtual slides 30 patterned lesions according to scoring system originally proposed by an international expert and a more detailed Working Group. The interobserver agreement for grading score was generally moderate (kappa value = 0.452). best consistency fell on chromatin 0.658–1.000). A fair demonstrated...

10.1111/pin.12779 article EN Pathology International 2019-02-27

Artificial intelligence (AI) provides a powerful tool to extract information from digitised histopathology whole slide images. During the last 5 years, academic and commercial actors have developed new technical solutions for diverse set of tasks, including tissue segmentation, cell detection, mutation prediction, prognostication prediction treatment response. In light limited overall resources, it is presently unclear researchers, practitioners policymakers which these topics are stable...

10.1111/his.14659 article EN cc-by Histopathology 2022-04-04
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