Literature DB >> 28465449

Characteristics associated with requests by pathologists for second opinions on breast biopsies.

Berta M Geller1, Heidi D Nelson2, Donald L Weaver3, Paul D Frederick4, Kimberly H Allison5, Tracy Onega6, Patricia A Carney7, Anna N A Tosteson8, Joann G Elmore4.   

Abstract

AIMS: Second opinions in pathology improve patient safety by reducing diagnostic errors, leading to more appropriate clinical treatment decisions. Little objective data are available regarding the factors triggering a request for second opinion despite second opinion consultations being part of the diagnostic system of pathology. Therefore we sought to assess breast biopsy cases and interpreting pathologists characteristics associated with second opinion requests.
METHODS: Collected pathologist surveys and their interpretations of 60 test set cases were used to explore the relationships between case characteristics, pathologist characteristics and case perceptions, and requests for second opinions. Data were evaluated by logistic regression and generalised estimating equations.
RESULTS: 115 pathologists provided 6900 assessments; pathologists requested second opinions on 70% (4827/6900) of their assessments 36% (1731/4827) of these would not have been required by policy. All associations between case characteristics and requesting second opinions were statistically significant, including diagnostic category, breast density, biopsy type, and number of diagnoses noted per case. Exclusive of institutional policies, pathologists wanted second opinions most frequently for atypia (66%) and least frequently for invasive cancer (20%). Second opinion rates were higher when the pathologist had lower assessment confidence, in cases with higher perceived difficulty, and cases with borderline diagnoses.
CONCLUSIONS: Pathologists request second opinions for challenging cases, particularly those with atypia, high breast density, core needle biopsies, or many co-existing diagnoses. Further studies should evaluate whether the case characteristics identified in this study could be used as clinical criteria to prompt system-level strategies for mandating second opinions. Published by the BMJ Publishing Group Limited. For permission to use (where not already granted under a licence) please go to http://www.bmj.com/company/products-services/rights-and-licensing/.

Entities:  

Keywords:  BREAST CANCER; BREAST PATHOLOGY; DIAGNOSIS; LABORATORY MANAGEMENT

Mesh:

Year:  2017        PMID: 28465449      PMCID: PMC5849252          DOI: 10.1136/jclinpath-2016-204231

Source DB:  PubMed          Journal:  J Clin Pathol        ISSN: 0021-9746            Impact factor:   3.411


  20 in total

1.  Changes in breast cancer reports after pathology second opinion.

Authors:  Vicente Marco; Teresa Muntal; Felip García-Hernandez; Javier Cortes; Begoña Gonzalez; Isabel T Rubio
Journal:  Breast J       Date:  2014-04-02       Impact factor: 2.431

2.  The association of measured breast tissue characteristics with mammographic density and other risk factors for breast cancer.

Authors:  Tong Li; Limei Sun; Naomi Miller; Trudey Nicklee; Jennifer Woo; Lee Hulse-Smith; Ming-Sound Tsao; Rama Khokha; Lisa Martin; Norman Boyd
Journal:  Cancer Epidemiol Biomarkers Prev       Date:  2005-02       Impact factor: 4.254

3.  Measuring the value of review of pathology material by a second pathologist.

Authors:  Andrew A Renshaw; Edwin W Gould
Journal:  Am J Clin Pathol       Date:  2006-05       Impact factor: 2.493

4.  Image-guided sampling reveals increased stroma and lower glandular complexity in mammographically dense breast tissue.

Authors:  Suling J Lin; Jennifer Cawson; Prue Hill; Izhak Haviv; Mark Jenkins; John L Hopper; Melissa C Southey; Ian G Campbell; Erik W Thompson
Journal:  Breast Cancer Res Treat       Date:  2011-01-22       Impact factor: 4.872

5.  Expertise vs evidence in assessment of breast biopsies: an atypical science.

Authors:  Nancy E Davidson; David L Rimm
Journal:  JAMA       Date:  2015-03-17       Impact factor: 56.272

6.  Diagnostic concordance among pathologists interpreting breast biopsy specimens.

Authors:  Joann G Elmore; Gary M Longton; Patricia A Carney; Berta M Geller; Tracy Onega; Anna N A Tosteson; Heidi D Nelson; Margaret S Pepe; Kimberly H Allison; Stuart J Schnitt; Frances P O'Malley; Donald L Weaver
Journal:  JAMA       Date:  2015-03-17       Impact factor: 56.272

7.  Variability in Pathologists' Interpretations of Individual Breast Biopsy Slides: A Population Perspective.

Authors:  Joann G Elmore; Heidi D Nelson; Margaret S Pepe; Gary M Longton; Anna N A Tosteson; Berta Geller; Tracy Onega; Patricia A Carney; Sara L Jackson; Kimberly H Allison; Donald L Weaver
Journal:  Ann Intern Med       Date:  2016-03-22       Impact factor: 25.391

8.  Second opinion in breast pathology: policy, practice and perception.

Authors:  Berta M Geller; Heidi D Nelson; Patricia A Carney; Donald L Weaver; Tracy Onega; Kimberly H Allison; Paul D Frederick; Anna N A Tosteson; Joann G Elmore
Journal:  J Clin Pathol       Date:  2014-07-22       Impact factor: 3.411

9.  Mammographic density is related to stroma and stromal proteoglycan expression.

Authors:  Salem Alowami; Sandra Troup; Sahar Al-Haddad; Iain Kirkpatrick; Peter H Watson
Journal:  Breast Cancer Res       Date:  2003-07-23       Impact factor: 6.466

10.  Evaluation of 12 strategies for obtaining second opinions to improve interpretation of breast histopathology: simulation study.

Authors:  Joann G Elmore; Anna Na Tosteson; Margaret S Pepe; Gary M Longton; Heidi D Nelson; Berta Geller; Patricia A Carney; Tracy Onega; Kimberly H Allison; Sara L Jackson; Donald L Weaver
Journal:  BMJ       Date:  2016-06-22
View more
  1 in total

1.  Mammographic density is a potential predictive marker of pathological response after neoadjuvant chemotherapy in breast cancer.

Authors:  Ida Skarping; Daniel Förnvik; Hanna Sartor; Uffe Heide-Jørgensen; Sophia Zackrisson; Signe Borgquist
Journal:  BMC Cancer       Date:  2019-12-30       Impact factor: 4.430

  1 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.