Nikolas Stathonikos
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Explore the profile of Nikolas Stathonikos including associated specialties, affiliations and a list of published articles.
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24
Citations
438
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Recent Articles
1.
Flach R, van Dooijeweert C, Nguyen T, Lynch M, Jonges T, Meijer R, et al.
JCO Clin Cancer Inform
. 2025 Mar;
9:e2400193.
PMID: 40036728
Purpose: Pathologists diagnose prostate cancer (PCa) on hematoxylin and eosin (HE)-stained sections of prostate needle biopsies (PBx). Some laboratories use costly immunohistochemistry (IHC) for all cases to optimize workflow, often...
2.
van Kempen S, Gerritsen W, Nguyen T, van Dooijeweert C, Stathonikos N, Broekhuizen R, et al.
Lab Invest
. 2025 Feb;
105(5):104105.
PMID: 39952611
Quality control of immunohistochemistry (IHC) slides is crucial to ascertain accurate patient management. Visual assessment is the most commonly used method to assess the quality of IHC slides from patient...
3.
Baeten I, Hoogendam J, Stathonikos N, Gerestein C, Jonges G, van Diest P, et al.
Cancers (Basel)
. 2024 Nov;
16(21).
PMID: 39518059
: Pathological ultrastaging, an essential part of sentinel lymph node (SLN) mapping, involves serial sectioning and immunohistochemical (IHC) staining in order to reliably detect clinically relevant metastases. However, ultrastaging is...
4.
Stathonikos N, Aubreville M, de Vries S, Wilm F, Bertram C, Veta M, et al.
J Pathol Clin Res
. 2024 Oct;
10(6):e70008.
PMID: 39466133
Mitotic count (MC) is the most common measure to assess tumor proliferation in breast cancer patients and is highly predictive of patient outcomes. It is, however, subject to inter- and...
5.
Aubreville M, Wilm F, Stathonikos N, Breininger K, Donovan T, Jabari S, et al.
Sci Data
. 2024 Jul;
11(1):717.
PMID: 38956109
No abstract available.
6.
Aubreville M, Stathonikos N, Donovan T, Klopfleisch R, Ammeling J, Ganz J, et al.
Med Image Anal
. 2024 Mar;
94:103155.
PMID: 38537415
Recognition of mitotic figures in histologic tumor specimens is highly relevant to patient outcome assessment. This task is challenging for algorithms and human experts alike, with deterioration of algorithmic performance...
7.
van Diest P, Flach R, van Dooijeweert C, Makineli S, Breimer G, Stathonikos N, et al.
Histopathology
. 2024 Mar;
84(6):924-934.
PMID: 38433288
The rapid introduction of digital pathology has greatly facilitated development of artificial intelligence (AI) models in pathology that have shown great promise in assisting morphological diagnostics and quantitation of therapeutic...
8.
Wang Y, Broeks A, Giardiello D, Hauptmann M, Jozwiak K, Koop E, et al.
Eur J Cancer
. 2023 Nov;
195:113401.
PMID: 37925965
Background: The validity of the PREDICT breast cancer prognostic model is unclear for young patients without adjuvant systemic treatment. This study aimed to validate PREDICT and assess its clinical utility...
9.
Aubreville M, Wilm F, Stathonikos N, Breininger K, Donovan T, Jabari S, et al.
Sci Data
. 2023 Jul;
10(1):484.
PMID: 37491536
The prognostic value of mitotic figures in tumor tissue is well-established for many tumor types and automating this task is of high research interest. However, especially deep learning-based methods face...
10.
Flach R, Stathonikos N, Nguyen T, Ter Hoeve N, van Diest P, van Dooijeweert C
BMJ Open
. 2023 Jun;
13(6):e067437.
PMID: 37286323
Introduction: Artificial intelligence (AI) has been on the rise in the field of pathology. Despite promising results in retrospective studies, and several CE-IVD certified algorithms on the market, prospective clinical...