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A nomogram for predicting underestimation of invasiveness in ductal carcinoma in situ diagnosed by preoperative needle biopsy.
Breast. 2013 Oct; 22(5):869-73.B

Abstract

It is unnecessary to perform axillary staging in patients with ductal carcinoma in situ (DCIS) of the breast because of the low incidence of axillary metastasis. However, diagnosis of DCIS by core needle biopsy showed a high rate of underestimation of invasive cancer. Thus, it is necessary to predict invasiveness in DCIS patients on core before surgery. We analyzed 340 patients with DCIS diagnosed by needle biopsy. The cases were divided into training and validation sets. Logistic regression was performed to predict the presence of invasive cancer in the final pathology, and a nomogram was constructed from the training set using the presence of palpability, the presence of ultrasonographic calcification and mass, the biopsy tools, and the presence of microinvasion. The model was subsequently applied to the validation set. The nomogram for the training set was both accurate and discriminating, with an area under the receiver operating characteristic curve (AUC) of 0.75. When applied to the validation group, the model accurately predicted the likelihood of invasive cancer (AUC: 0.71). Our nomogram will allow surgeons to easily and accurately estimate the likelihood of invasive cancer in patients with DCIS as diagnosed by preoperative needle biopsy.

Authors+Show Affiliations

Department of Surgery, Yonsei University College of Medicine, 50 Yonsei-ro, Seodaemun-gu, Seoul 120-752, Republic of Korea.No affiliation info availableNo affiliation info availableNo affiliation info availableNo affiliation info availableNo affiliation info available

Pub Type(s)

Journal Article
Validation Study

Language

eng

PubMed ID

23601760

Citation

Park, Hyung Seok, et al. "A Nomogram for Predicting Underestimation of Invasiveness in Ductal Carcinoma in Situ Diagnosed By Preoperative Needle Biopsy." Breast (Edinburgh, Scotland), vol. 22, no. 5, 2013, pp. 869-73.
Park HS, Kim HY, Park S, et al. A nomogram for predicting underestimation of invasiveness in ductal carcinoma in situ diagnosed by preoperative needle biopsy. Breast. 2013;22(5):869-73.
Park, H. S., Kim, H. Y., Park, S., Kim, E. K., Kim, S. I., & Park, B. W. (2013). A nomogram for predicting underestimation of invasiveness in ductal carcinoma in situ diagnosed by preoperative needle biopsy. Breast (Edinburgh, Scotland), 22(5), 869-73. https://doi.org/10.1016/j.breast.2013.03.009
Park HS, et al. A Nomogram for Predicting Underestimation of Invasiveness in Ductal Carcinoma in Situ Diagnosed By Preoperative Needle Biopsy. Breast. 2013;22(5):869-73. PubMed PMID: 23601760.
* Article titles in AMA citation format should be in sentence-case
TY - JOUR T1 - A nomogram for predicting underestimation of invasiveness in ductal carcinoma in situ diagnosed by preoperative needle biopsy. AU - Park,Hyung Seok, AU - Kim,Ha Yan, AU - Park,Seho, AU - Kim,Eun-Kyung, AU - Kim,Seung Il, AU - Park,Byeong-Woo, Y1 - 2013/04/17/ PY - 2012/12/11/received PY - 2013/02/21/revised PY - 2013/03/19/accepted PY - 2013/4/23/entrez PY - 2013/4/23/pubmed PY - 2014/5/16/medline KW - Axillary metastasis KW - Mammary ultrasonography KW - Mammography KW - Needle biopsy KW - Nomogram KW - Noninfiltrating intraductal carcinoma SP - 869 EP - 73 JF - Breast (Edinburgh, Scotland) JO - Breast VL - 22 IS - 5 N2 - It is unnecessary to perform axillary staging in patients with ductal carcinoma in situ (DCIS) of the breast because of the low incidence of axillary metastasis. However, diagnosis of DCIS by core needle biopsy showed a high rate of underestimation of invasive cancer. Thus, it is necessary to predict invasiveness in DCIS patients on core before surgery. We analyzed 340 patients with DCIS diagnosed by needle biopsy. The cases were divided into training and validation sets. Logistic regression was performed to predict the presence of invasive cancer in the final pathology, and a nomogram was constructed from the training set using the presence of palpability, the presence of ultrasonographic calcification and mass, the biopsy tools, and the presence of microinvasion. The model was subsequently applied to the validation set. The nomogram for the training set was both accurate and discriminating, with an area under the receiver operating characteristic curve (AUC) of 0.75. When applied to the validation group, the model accurately predicted the likelihood of invasive cancer (AUC: 0.71). Our nomogram will allow surgeons to easily and accurately estimate the likelihood of invasive cancer in patients with DCIS as diagnosed by preoperative needle biopsy. SN - 1532-3080 UR - https://www.unboundmedicine.com/medline/citation/23601760/A_nomogram_for_predicting_underestimation_of_invasiveness_in_ductal_carcinoma_in_situ_diagnosed_by_preoperative_needle_biopsy_ L2 - https://linkinghub.elsevier.com/retrieve/pii/S0960-9776(13)00065-9 DB - PRIME DP - Unbound Medicine ER -