Survey of recurrent diagnostic challenges in breast phyllodes tumours

BY Tan, SB Fox, SR Lakhani, PH Tan - Histopathology, 2023 - Wiley Online Library
Background Breast phyllodes tumours (PTs) are graded as benign, borderline, or malignant
by analysis of multiple histological features. PT grading is often inconsistent, likely due to …

[HTML][HTML] Use of artificial intelligence in breast surgery: a narrative review

I Seth, B Lim, K Joseph, D Gracias, Y Xie, RJ Ross… - Gland …, 2024 - ncbi.nlm.nih.gov
Methods Two authors independently conducted a comprehensive search of PubMed,
Google Scholar, EMBASE, and Cochrane CENTRAL databases from January 1, 1950, to …

[HTML][HTML] A preliminary investigation into search and matching for tumor discrimination in world health organization breast taxonomy using deep networks

A Shafique, R Gonzalez, L Pantanowitz, PH Tan… - Modern Pathology, 2024 - Elsevier
Breast cancer is one of the most common cancers affecting women worldwide. It includes a
group of malignant neoplasms with a variety of biological, clinical, and histopathologic …

Precise diagnosis of breast phyllodes tumors using Raman spectroscopy: Biochemical fingerprint, tumor metabolism and possible mechanism

Y Wu, Y Wang, C He, Y Wang, J Ma, Y Lin, L Zhou… - Analytica Chimica …, 2023 - Elsevier
Background Breast fibroadenomas and phyllodes tumors are both fibroepithelial tumors with
comparable histological characteristics. However, rapid and precise differential diagnosis is …

Refining the classification of breast phyllodes tumours

PH Tan - Pathology, 2023 - Elsevier
Phyllodes tumours of the breast are uncommon fibroepithelial neoplasms that pose
recurrent classification challenges, in large part due to the multiple histological parameters …

Discrimination between phyllodes tumor and fibro-adenoma: Does artificial intelligence-aided mammograms have an impact?

S Mansour, R Kamel, A Marey, C Hunold… - Egyptian Journal of …, 2022 - Springer
Background The indulgence of artificial intelligence (AI) has been considered recently in the
work up for the detection and diagnosis of breast cancer through algorithms that could …