Galectin-3 immunodetection in follicular thyroid neoplasms: a prospective study on fine-needle aspiration samples [PDF]
, 2005 Jean-François Collet +6 more
openalex +1 more source
International Journal of Cancer, Volume 152, Issue 5, Page 879-912, 1 March 2023., 2023 Abstract Knowledge of the role in cancer etiology of environmental exposures as pesticides is a prerequisite for primary prevention. We review 63 epidemiological studies on exposure to pesticides and cancer risk in humans published from 2017 to 2021, with emphasis on new findings, methodological approaches, and gaps in the existing literature.
Haleigh Cavalier +2 more
wiley +1 more source
Clinical and Sonographic Features of Noninvasive Follicular Thyroid Neoplasm With Papillary-Like Nuclear Features: A Retrospective Study. [PDF]
Ultrasound Q, 2023 Ni X, Xu S, Zhang B, Zhan W, Zhou W.
europepmc +1 more source
Does Hurthle cell lesion/neoplasm predict malignancy more than follicular lesion/neoplasm on thyroid fine‐needle aspiration? [PDF]
, 2006 Robert T. Pu +5 more
openalex +1 more source
From Pixel to Slide image: Polarization Modality-based Pathological Diagnosis Using Representation Learning [PDF]
arXivThyroid cancer is the most common endocrine malignancy, and accurately distinguishing between benign and malignant thyroid tumors is crucial for developing effective treatment plans in clinical practice. Pathologically, thyroid tumors pose diagnostic challenges due to improper specimen sampling. In this study, we have designed a three-stage model using
arxiv
The Value of Relative Size in the Ultrasound Diagnosis of Follicular Thyroid Neoplasm. [PDF]
Int J Gen Med, 2021 Zhang S +8 more
europepmc +1 more source
Cytoarchitectural and kinetic features in the histological evaluation of follicular thyroid neoplasms [PDF]
, 2007 Arif Şanlı +3 more
openalex +1 more source
From Data to Insights: A Comprehensive Survey on Advanced Applications in Thyroid Cancer Research [PDF]
arXivThyroid cancer, the most prevalent endocrine cancer, has gained significant global attention due to its impact on public health. Extensive research efforts have been dedicated to leveraging artificial intelligence (AI) methods for the early detection of this disease, aiming to reduce its morbidity rates.
arxiv