The SARIFA biomarker in the context of basic research of lipid-driven cancers

B Märkl, NG Reitsam, P Grochowski… - NPJ Precision …, 2024 - nature.com
SARIFA was very recently introduced as a histomorphological biomarker with strong
prognostic power for colorectal, gastric, prostate, and pancreatic cancer. It is characterized …

[HTML][HTML] Artificial intelligence in colorectal cancer: from patient screening over tailoring treatment decisions to identification of novel biomarkers

NG Reitsam, JS Enke, K Vu Trung, B Märkl, JN Kather - Digestion, 2024 - karger.com
Background: Artificial intelligence (AI) is increasingly entering and transforming not only
medical research but also clinical practice. In the last 10 years, new AI methods have …

Converging deep learning and human-observed tumor-adipocyte interaction as a biomarker in colorectal cancer

NG Reitsam, B Grosser, DF Steiner… - Communications …, 2024 - nature.com
Abstract Background Tumor-Adipose-Feature (TAF) as well as SARIFA (Stroma AReactive
Invasion Front Areas) are two histologic features/biomarkers linking tumor-associated …

Artificial Intelligence and Lung Pathology

E Caranfil, K Lami, W Uegami… - Advances in Anatomic …, 2024 - journals.lww.com
This manuscript provides a comprehensive overview of the application of artificial
intelligence (AI) in lung pathology, particularly in the diagnosis of lung cancer. It discusses …

A pathologist–AI collaboration framework for enhancing diagnostic accuracies and efficiencies

Z Huang, E Yang, J Shen, D Gratzinger… - Nature Biomedical …, 2024 - nature.com
In pathology, the deployment of artificial intelligence (AI) in clinical settings is constrained by
limitations in data collection and in model transparency and interpretability. Here we …

The relationship between Stroma AReactive Invasion Front Areas (SARIFA), Warburg-subtype and survival: results from a large prospective series of colorectal cancer …

K Offermans, NG Reitsam, CCJM Simons… - Cancer & …, 2024 - Springer
Abstract Background Stroma AReactive Invasion Front Areas (SARIFA) is a recently
identified haematoxylin & eosin (H&E) based histopathologic biomarker in gastrointestinal …

SARIFA as a new histopathological biomarker is associated with adverse clinicopathological characteristics, tumor-promoting fatty-acid metabolism, and might predict …

JS Enke, M Groß, B Grosser, E Sipos, J Steinestel… - BMC cancer, 2024 - Springer
Abstract Background Recently, we introduced Stroma-AReactive-Invasion-Front-Areas
(SARIFA) as a novel hematoxylin–eosin (H&E)-based histopathologic prognostic biomarker …

[HTML][HTML] Predicting lymph node metastasis in colorectal cancer: An analysis of influencing factors to develop a risk model

YP Lei, QZ Song, S Liu, JY Xie… - World Journal of …, 2023 - ncbi.nlm.nih.gov
BACKGROUND Colorectal cancer (CRC) is a significant global health issue, and lymph
node metastasis (LNM) is a crucial prognostic factor. Accurate prediction of LNM is essential …

Machine learning and deep learning models for preoperative detection of lymph node metastasis in colorectal cancer: a systematic review and meta-analysis

E Abbaspour, B Mansoori, S Karimzadhagh… - Abdominal …, 2024 - Springer
Objective To evaluate the diagnostic performance of Machine Learning (ML) and Deep
Learning (DL) models for predicting preoperative Lymph Node Metastasis (LNM) in …

[HTML][HTML] Lymph Node Metastasis in Gastrointestinal Carcinomas: A View from a Proteomics Perspective

V Jain, P Sakhuja, AK Agarwal, R Sirdeshmukh… - Current …, 2024 - mdpi.com
Lymph node metastasis (LNM) is one of the major prognostic factors in human
gastrointestinal carcinomas (GICs). The lymph node-positive patients have poorer survival …