Development of a nomogram to predict the clinical impact of a postexcision preirradiation mammogram

Eric D. Donnelly*, Erin Neuschler, Christopher Henley, Irene Helenowski, Nora Hansen, Seema A. Khan, Kevin Bethke, Stanley Gutiontov, Eric Nesbit, John Hayes, Jonathan B. Strauss

*Corresponding author for this work

Research output: Contribution to journalArticle

Abstract

We aimed to better quantify the impact of a postexcision preirradiation mammogram (PPM), first by identifying factors associated with abnormal results and then incorporating these findings into a nomogram. Beginning February 2011, our institution made a practice change to obtain a PPM on all patients with any calcifications identified. A total of 530 patients underwent a PPM. Suspicious abnormalities were reported in 61 patients (11.5%), with the PPM leading to a change in management in 47 instances (8.9%). A nomogram was created based on patient and tumor characteristics to identify patients most likely to have an abnormal PPM.

Original languageEnglish (US)
Pages (from-to)620-623
Number of pages4
JournalBreast Journal
Volume24
Issue number4
DOIs
StatePublished - Jul 1 2018

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Nomograms
Neoplasms

Keywords

  • breast cancer
  • nomogram
  • postexcision mammogram

ASJC Scopus subject areas

  • Internal Medicine
  • Surgery
  • Oncology

Cite this

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abstract = "We aimed to better quantify the impact of a postexcision preirradiation mammogram (PPM), first by identifying factors associated with abnormal results and then incorporating these findings into a nomogram. Beginning February 2011, our institution made a practice change to obtain a PPM on all patients with any calcifications identified. A total of 530 patients underwent a PPM. Suspicious abnormalities were reported in 61 patients (11.5{\%}), with the PPM leading to a change in management in 47 instances (8.9{\%}). A nomogram was created based on patient and tumor characteristics to identify patients most likely to have an abnormal PPM.",
keywords = "breast cancer, nomogram, postexcision mammogram",
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Development of a nomogram to predict the clinical impact of a postexcision preirradiation mammogram. / Donnelly, Eric D.; Neuschler, Erin; Henley, Christopher; Helenowski, Irene; Hansen, Nora; Khan, Seema A.; Bethke, Kevin; Gutiontov, Stanley; Nesbit, Eric; Hayes, John; Strauss, Jonathan B.

In: Breast Journal, Vol. 24, No. 4, 01.07.2018, p. 620-623.

Research output: Contribution to journalArticle

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T1 - Development of a nomogram to predict the clinical impact of a postexcision preirradiation mammogram

AU - Donnelly, Eric D.

AU - Neuschler, Erin

AU - Henley, Christopher

AU - Helenowski, Irene

AU - Hansen, Nora

AU - Khan, Seema A.

AU - Bethke, Kevin

AU - Gutiontov, Stanley

AU - Nesbit, Eric

AU - Hayes, John

AU - Strauss, Jonathan B.

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AB - We aimed to better quantify the impact of a postexcision preirradiation mammogram (PPM), first by identifying factors associated with abnormal results and then incorporating these findings into a nomogram. Beginning February 2011, our institution made a practice change to obtain a PPM on all patients with any calcifications identified. A total of 530 patients underwent a PPM. Suspicious abnormalities were reported in 61 patients (11.5%), with the PPM leading to a change in management in 47 instances (8.9%). A nomogram was created based on patient and tumor characteristics to identify patients most likely to have an abnormal PPM.

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