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

doi:10.1111/tbj.12974

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 journal › Article › peer-review

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 language	English (US)
Pages (from-to)	620-623
Number of pages	4
Journal	Breast Journal
Volume	24
Issue number	4
DOIs	https://doi.org/10.1111/tbj.12974
State	Published - Jul 1 2018

Keywords

breast cancer
nomogram
postexcision mammogram

ASJC Scopus subject areas

Oncology
Internal Medicine
Surgery

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

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10.1111/tbj.12974

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.",

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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.

PY - 2018/7/1

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N2 - 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.

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

Abstract

Keywords

ASJC Scopus subject areas

UN SDGs

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