-
Je něco špatně v tomto záznamu ?
A simple model to assess the probability of invasion in ductal carcinoma in situ of the breast diagnosed by needle biopsy
O. Coufal, I. Selingerová, P. Vrtělová, P. Krsička, L. Gabrielová, P. Fabian, K. Stískalová, M. Schneiderová, A. Poprach, I. Justan,
Jazyk angličtina Země Spojené státy americké
Typ dokumentu časopisecké články, práce podpořená grantem
NLK
Free Medical Journals
od 2013
PubMed Central
od 2013
Europe PubMed Central
od 2013
ProQuest Central
od 2013
Open Access Digital Library
od 2001-01-01
Open Access Digital Library
od 2012-12-04
Open Access Digital Library
od 2013-01-01
CINAHL Plus with Full Text (EBSCOhost)
od 2013-01-01
Medline Complete (EBSCOhost)
od 2013-01-01
Health & Medicine (ProQuest)
od 2013
Wiley-Blackwell Open Access Titles
od 2001
ROAD: Directory of Open Access Scholarly Resources
od 2013
PubMed
25114904
DOI
10.1155/2014/480840
Knihovny.cz E-zdroje
- MeSH
- intraduktální neinfiltrující karcinom epidemiologie patologie ultrasonografie MeSH
- jehlová biopsie škodlivé účinky statistika a číselné údaje MeSH
- lidé MeSH
- nádory prsu epidemiologie patologie MeSH
- riziko MeSH
- statistické modely MeSH
- Check Tag
- lidé MeSH
- ženské pohlaví MeSH
- Publikační typ
- časopisecké články MeSH
- práce podpořená grantem MeSH
OBJECTIVES: 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. RESULTS: 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. CONCLUSION: 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.
Department of Pathology Masaryk Memorial Cancer Institute Zluty kopec 7 656 53 Brno Czech Republic
Department of Radiology Masaryk Memorial Cancer Institute Zluty kopec 7 656 53 Brno Czech Republic
Citace poskytuje Crossref.org
- 000
- 00000naa a2200000 a 4500
- 001
- bmc15023147
- 003
- CZ-PrNML
- 005
- 20150709122753.0
- 007
- ta
- 008
- 150709s2014 xxu f 000 0|eng||
- 009
- AR
- 024 7_
- $a 10.1155/2014/480840 $2 doi
- 035 __
- $a (PubMed)25114904
- 040 __
- $a ABA008 $b cze $d ABA008 $e AACR2
- 041 0_
- $a eng
- 044 __
- $a xxu
- 100 1_
- $a Coufal, Oldřich $u Department of Surgical Oncology, Masaryk Memorial Cancer Institute, Zluty kopec 7, 656 53 Brno, Czech Republic ; Department of Comprehensive Cancer Care, Masaryk Memorial Cancer Institute, Zluty kopec 7, 656 53 Brno, Czech Republic.
- 245 12
- $a A simple model to assess the probability of invasion in ductal carcinoma in situ of the breast diagnosed by needle biopsy / $c O. Coufal, I. Selingerová, P. Vrtělová, P. Krsička, L. Gabrielová, P. Fabian, K. Stískalová, M. Schneiderová, A. Poprach, I. Justan,
- 520 9_
- $a OBJECTIVES: 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. RESULTS: 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. CONCLUSION: 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.
- 650 _2
- $a jehlová biopsie $x škodlivé účinky $x statistika a číselné údaje $7 D001707
- 650 _2
- $a nádory prsu $x epidemiologie $x patologie $7 D001943
- 650 _2
- $a intraduktální neinfiltrující karcinom $x epidemiologie $x patologie $x ultrasonografie $7 D002285
- 650 _2
- $a ženské pohlaví $7 D005260
- 650 _2
- $a lidé $7 D006801
- 650 _2
- $a statistické modely $7 D015233
- 650 _2
- $a riziko $7 D012306
- 655 _2
- $a časopisecké články $7 D016428
- 655 _2
- $a práce podpořená grantem $7 D013485
- 700 1_
- $a Selingerová, Iveta $u Department of Mathematics and Statistics of the Faculty of Science, Masaryk University, Kotlarska 267/2, 611 37 Brno, Czech Republic.
- 700 1_
- $a Vrtělová, Pavlína $u Department of Surgical Oncology, Masaryk Memorial Cancer Institute, Zluty kopec 7, 656 53 Brno, Czech Republic.
- 700 1_
- $a Krsička, Petr $u Department of Surgical Oncology, Masaryk Memorial Cancer Institute, Zluty kopec 7, 656 53 Brno, Czech Republic.
- 700 1_
- $a Gabrielová, Lucie $u Department of Surgical Oncology, Masaryk Memorial Cancer Institute, Zluty kopec 7, 656 53 Brno, Czech Republic.
- 700 1_
- $a Fabian, Pavel $u Department of Pathology, Masaryk Memorial Cancer Institute, Zluty kopec 7, 656 53 Brno, Czech Republic.
- 700 1_
- $a Stískalová, Kateřina $u Department of Radiology, Masaryk Memorial Cancer Institute, Zluty kopec 7, 656 53 Brno, Czech Republic.
- 700 1_
- $a Schneiderová, Monika $u Department of Radiology, Masaryk Memorial Cancer Institute, Zluty kopec 7, 656 53 Brno, Czech Republic.
- 700 1_
- $a Poprach, Alexandr $u Department of Comprehensive Cancer Care, Masaryk Memorial Cancer Institute, Zluty kopec 7, 656 53 Brno, Czech Republic.
- 700 1_
- $a Justan, Ivan $u Department of Surgical Oncology, Masaryk Memorial Cancer Institute, Zluty kopec 7, 656 53 Brno, Czech Republic.
- 773 0_
- $w MED00182164 $t BioMed research international $x 2314-6141 $g Roč. 2014, č. - (2014), s. 480840
- 856 41
- $u https://pubmed.ncbi.nlm.nih.gov/25114904 $y Pubmed
- 910 __
- $a ABA008 $b sig $c sign $y a $z 0
- 990 __
- $a 20150709 $b ABA008
- 991 __
- $a 20150709122813 $b ABA008
- 999 __
- $a ok $b bmc $g 1083485 $s 906140
- BAS __
- $a 3
- BAS __
- $a PreBMC
- BMC __
- $a 2014 $b 2014 $c - $d 480840 $i 2314-6141 $m BioMed research international $n Biomed Res Int $x MED00182164
- LZP __
- $a Pubmed-20150709