About: A simple model to assess the probability of invasion in ductal carcinoma in situ of the breast diagnosed by needle biopsy     Goto   Sponge   NotDistinct   Permalink

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  • The aim of the study was to develop a clinical prediction model for assessing the probability of having invasive cancer in the definitive surgical resection specimen in patients with biopsy diagnosis of ductal carcinoma in situ (DCIS) of the breast, to facilitate decision making regarding axillary surgery. Methods. In 349 women with DCIS, predictors of invasion in the definitive resection specimen were identified. A model to predict the probability of invasion was developed and subsequently simplified to divide patients into two risk categories. The model’s performance was validated on another patient population. Multivariate logistic regression revealed four independent predictors of invasion: (i) suspicious (micro)invasion in the biopsy specimen; (ii) visibility of the lesion on ultrasonography; (iii) size of the lesion on mammography >30 mm;(iv) clinical palpability of the lesion.The actual frequency of invasion in the high-risk patient group in the test and validation population was 52.6% and 48.3%, respectively; in the low-risk group it was 16.8% and 7.1%, respectively. The model proved to have good performance. In patients with a low probability of invasion, an axillary procedure can be omitted without a substantial risk of additional surgery.
  • The aim of the study was to develop a clinical prediction model for assessing the probability of having invasive cancer in the definitive surgical resection specimen in patients with biopsy diagnosis of ductal carcinoma in situ (DCIS) of the breast, to facilitate decision making regarding axillary surgery. Methods. In 349 women with DCIS, predictors of invasion in the definitive resection specimen were identified. A model to predict the probability of invasion was developed and subsequently simplified to divide patients into two risk categories. The model’s performance was validated on another patient population. Multivariate logistic regression revealed four independent predictors of invasion: (i) suspicious (micro)invasion in the biopsy specimen; (ii) visibility of the lesion on ultrasonography; (iii) size of the lesion on mammography >30 mm;(iv) clinical palpability of the lesion.The actual frequency of invasion in the high-risk patient group in the test and validation population was 52.6% and 48.3%, respectively; in the low-risk group it was 16.8% and 7.1%, respectively. The model proved to have good performance. In patients with a low probability of invasion, an axillary procedure can be omitted without a substantial risk of additional surgery. (en)
Title
  • A simple model to assess the probability of invasion in ductal carcinoma in situ of the breast diagnosed by needle biopsy
  • A simple model to assess the probability of invasion in ductal carcinoma in situ of the breast diagnosed by needle biopsy (en)
skos:prefLabel
  • A simple model to assess the probability of invasion in ductal carcinoma in situ of the breast diagnosed by needle biopsy
  • A simple model to assess the probability of invasion in ductal carcinoma in situ of the breast diagnosed by needle biopsy (en)
skos:notation
  • RIV/00209805:_____/14:#0000558!RIV15-MSM-00209805
http://linked.open...avai/riv/aktivita
http://linked.open...avai/riv/aktivity
  • I, P(ED2.1.00/03.0101)
http://linked.open...iv/cisloPeriodika
  • 8 July
http://linked.open...vai/riv/dodaniDat
http://linked.open...aciTvurceVysledku
http://linked.open.../riv/druhVysledku
http://linked.open...iv/duvernostUdaju
http://linked.open...titaPredkladatele
http://linked.open...dnocenehoVysledku
  • 1174
http://linked.open...ai/riv/idVysledku
  • RIV/00209805:_____/14:#0000558
http://linked.open...riv/jazykVysledku
http://linked.open.../riv/klicovaSlova
  • breast carcinoma; simple model; regression analysis (en)
http://linked.open.../riv/klicoveSlovo
http://linked.open...odStatuVydavatele
  • US - Spojené státy americké
http://linked.open...ontrolniKodProRIV
  • [D15AB79913F3]
http://linked.open...i/riv/nazevZdroje
  • BioMed research international
http://linked.open...in/vavai/riv/obor
http://linked.open...ichTvurcuVysledku
http://linked.open...cetTvurcuVysledku
http://linked.open...vavai/riv/projekt
http://linked.open...UplatneniVysledku
http://linked.open...v/svazekPeriodika
  • 2014
http://linked.open...iv/tvurceVysledku
  • Coufal, Oldřich
  • Vrtělová, Pavlína
  • Justan, Ivan
  • Fabian, Pavel
  • Poprach, Alexandr
  • Schneiderová, Monika
  • Krsička, Petr
  • Gabrielová, Lucie
  • Stískalová, Kateřina
http://linked.open...ain/vavai/riv/wos
  • 000339252800001
issn
  • 2314-6133
number of pages
http://bibframe.org/vocab/doi
  • 10.1155/2014/480840
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