Your browser doesn't support javascript.
Clinical utility of breast pathology data: implications for practising pathologists.
Deb, Rahul; Tan, Puay Hoon.
  • Deb R; Department of Cellular Pathology, University Hospitals of Derby and Burton NHS Foundation Trust, Derby, UK rahul.deb@nhs.net.
  • Tan PH; Department of Pathology, Singapore General Hospital, Singapore.
J Clin Pathol ; 75(8): 514-518, 2022 Aug.
Article in English | MEDLINE | ID: covidwho-1950226
ABSTRACT
In breast cancer, the quality of the pathology services is of paramount importance as inevitably, the pathologist makes the confirmatory diagnosis and provides prognostic and predictive information, informing treatment plans directly. Various national and international organisations provide a pathology reporting minimum dataset (MDS) to ensure consistency in reporting. While the use of MDS promotes clarity, there may be specific areas requiring the pathologist's input for individual patients and hence pathologists need to be aware of the clinical utility of pathology data to help tailor individualised patient treatment. In this article, we provide numerous examples of the role of pathology data in determining next steps in the patient pathway that are applicable to both the diagnostic and treatment pathways, including neoadjuvant treatment pathways. We also briefly discuss the important role and thereby the clinical utility of pathology data during the COVID-19 pandemic providing a template for the similar scenarios in the future if required.
Subject(s)
Keywords

Full text: Available Collection: International databases Database: MEDLINE Main subject: Breast / Breast Neoplasms / Datasets as Topic Type of study: Diagnostic study / Observational study / Prognostic study Limits: Female / Humans Language: English Journal: J Clin Pathol Year: 2022 Document Type: Article Affiliation country: Jclinpath-2021-207473

Similar

MEDLINE

...
LILACS

LIS


Full text: Available Collection: International databases Database: MEDLINE Main subject: Breast / Breast Neoplasms / Datasets as Topic Type of study: Diagnostic study / Observational study / Prognostic study Limits: Female / Humans Language: English Journal: J Clin Pathol Year: 2022 Document Type: Article Affiliation country: Jclinpath-2021-207473