| Literature DB >> 33249359 |
Diego Barba1, Ariana León-Sosa1, Paulina Lugo2, Daniela Suquillo3, Fernando Torres4, Frederic Surre5, Lionel Trojman6, Andrés Caicedo7.
Abstract
Breast cancer is one of the most frequent malignancies among women worldwide. Methods for screening and diagnosis allow health care professionals to provide personalized treatments that improve the outcome and survival. Scientists and physicians are working side-by-side to develop evidence-based guidelines and equipment to detect cancer earlier. However, the lack of comprehensive interdisciplinary information and understanding between biomedical, medical, and technology professionals makes innovation of new screening and diagnosis tools difficult. This critical review gathers, for the first time, information concerning normal breast and cancer biology, established and emerging methods for screening and diagnosis, staging and grading, molecular and genetic biomarkers. Our purpose is to address key interdisciplinary information about these methods for physicians and scientists. Only the multidisciplinary interaction and communication between scientists, health care professionals, technical experts and patients will lead to the development of better detection tools and methods for an improved screening and early diagnosis.Entities:
Keywords: Artificial intelligence; Biopsy; Breast cancer; Diagnosis; Genetic profiling; Mammography; Screening; Tools
Year: 2020 PMID: 33249359 DOI: 10.1016/j.critrevonc.2020.103174
Source DB: PubMed Journal: Crit Rev Oncol Hematol ISSN: 1040-8428 Impact factor: 6.312