Literature DB >> 33249359

Breast cancer, screening and diagnostic tools: All you need to know.

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.
Copyright © 2020. Published by Elsevier B.V.

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


  8 in total

1.  Insights into the value of statistical models, solvent, and relativistic effects for investigating Re complexes of 2-(4'-aminophenyl)benzothiazole: a potential spectroscopic probe.

Authors:  Gustavo A Andolpho; Elaine F F da Cunha; Teodorico C Ramalho
Journal:  J Mol Model       Date:  2022-05-17       Impact factor: 1.810

2.  A Single-Center Audit of Symptomatic Breast Cancer Patient Referrals During COVID-19 Pandemic Restrictions.

Authors:  Olukayode M Tokode; Sarah Rastall
Journal:  Cureus       Date:  2022-06-17

3.  Highly Efficient Separation of Ultratrace Radioactive Copper Using a Flow Electrolysis Cell.

Authors:  Yumi Sugo; Shin-Ichi Ohira; Hinako Manabe; Yo-Hei Maruyama; Naoaki Yamazaki; Ryoma Miyachi; Kei Toda; Noriko S Ishioka; Masanobu Mori
Journal:  ACS Omega       Date:  2022-04-27

Review 4.  Preclinical Imaging Evaluation of miRNAs' Delivery and Effects in Breast Cancer Mouse Models: A Systematic Review.

Authors:  Francesca Maria Orlandella; Luigi Auletta; Adelaide Greco; Antonella Zannetti; Giuliana Salvatore
Journal:  Cancers (Basel)       Date:  2021-11-30       Impact factor: 6.639

5.  Dicoma anomala Enhances Phthalocyanine Mediated Photodynamic Therapy in MCF-7 Breast Cancer Cells.

Authors:  Alexander Chota; Blassan P George; Heidi Abrahamse
Journal:  Front Pharmacol       Date:  2022-04-26       Impact factor: 5.988

Review 6.  Salivary biomarkers in breast cancer diagnosis: A systematic review and diagnostic meta-analysis.

Authors:  Maryam Koopaie; Sajad Kolahdooz; Mahnaz Fatahzadeh; Soheila Manifar
Journal:  Cancer Med       Date:  2022-03-22       Impact factor: 4.711

7.  Discovering Common miRNA Signatures Underlying Female-Specific Cancers via a Machine Learning Approach Driven by the Cancer Hallmark ERBB.

Authors:  Katia Pane; Mario Zanfardino; Anna Maria Grimaldi; Gustavo Baldassarre; Marco Salvatore; Mariarosaria Incoronato; Monica Franzese
Journal:  Biomedicines       Date:  2022-06-02

Review 8.  Nano-Based Theranostic Platforms for Breast Cancer: A Review of Latest Advancements.

Authors:  Rabia Arshad; Maria Hassan Kiani; Abbas Rahdar; Saman Sargazi; Mahmood Barani; Shirin Shojaei; Muhammad Bilal; Deepak Kumar; Sadanand Pandey
Journal:  Bioengineering (Basel)       Date:  2022-07-15
  8 in total

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