Results 111 to 120 of about 1,657,839 (363)
Cyto-histologic discordancy in patients undergoing thyroidectomy at Aga Khan University Hospital
The Pan African Medical Journal, 2019 Fine needle aspiration cytology (FNAC) findings are the basis upon which decision and type surgery is made. Therefore the diagnostic accuracy and utility of FNAC being such an integral tool in management of thyroid lesions must be evaluated for cyto ...
Moses Barasa, Abdulkarim Abdallah
doaj +1 more source
Molecular Oncology, EarlyView.In luminal (ER+) breast carcinoma (BC), miRNA profiling identified miR‐195‐5p as a key regulator of proliferation that targets CHEK1, CDC25A, and CCNE1. High CHEK1 expression correlates with worse relapse‐free survival after chemotherapy, especially in patients with luminal A subtype.
Veronika Boušková +14 more
wiley +1 more source
BACH: Grand challenge on breast cancer histology images [PDF]
Medical Image Anal., 2018 Guilherme Aresta +35 more
semanticscholar +1 more source
The Pan African Medical Journal, 2019 Due to the enormous amount spent on histology of adenoid and tonsillar samples from children with adeno-tonsillectomy with no confirmed result of malignancy, it has become expedient to reconsider sending such tissues for histology.
Josephat Maduabuchi Chinawa +4 more
doaj +1 more source
Frontiers in Physiology, 2017 Several studies have reported on certain aspects of the characteristics of different sites within a keloid lesion, but detailed studies on the keloid dermis at different depths within a keloid lesion are scarce.
Hu Jiao +3 more
doaj +1 more source
Molecular Oncology, EarlyView.In thyroid cancer patients, high‐dose (≥7.4 GBq) radioactive iodine therapy (RAIT) was associated with a higher prevalence of clonal hematopoiesis (variant allele frequency >2%) in individuals aged ≥50 years (OR = 2.44). In silico analyses showed that truncating PPM1D mutations conferred a selective advantage under these conditions.
Jaeryuk Kim +11 more
wiley +1 more source
Molecular Oncology, EarlyView.This study presents a novel AI‐based diagnostic approach—comprehensive serum glycopeptide spectra analysis (CSGSA)—that integrates tumor markers and enriched glycopeptides from serum. Using a neural network model, this method accurately distinguishes liver and pancreatic cancers from healthy individuals.
Motoyuki Kohjima +6 more
wiley +1 more source