A nomogram based on clinical, imaging and histological data to predict the risk of upgrades to malignancy at surgery in biopsy-diagnosed premalignant lesions of the breast

被引：0
|
作者：
Uzan, C. [1 ]
Mazouni, C. [1 ]
Balleyguier, C. [1 ]
Mathieu, M-C [1 ]
Ferchiou, M. [1 ]
Delaloge, S. [1 ]
机构：
[1] Inst Gustave Roussy, Villejuif, France
来源：
CANCER RESEARCH | 2012年 / 72卷
关键词：
D O I：
10.1158/0008-5472.SABCS12-P4-12-01
中图分类号：
R73 [肿瘤学];
学科分类号：
100214 ;
摘要：
P4-12-01
引用
收藏
页数：1
相关论文
共 38 条
  • [1] A Model to Predict the Risk of Upgrade to Malignancy at Surgery in Atypical Breast Lesions Discovered on Percutaneous Biopsy Specimens
    Uzan, Catherine
    Mazouni, Chafika
    Ferchiou, Malek
    Ciolovan, Laura
    Balleyguier, Corinne
    Mathieu, Marie-Christine
    Vielh, Philippe
    Delaloge, Suzette
    ANNALS OF SURGICAL ONCOLOGY, 2013, 20 (09) : 2850 - 2857
  • [2] A Model to Predict the Risk of Upgrade to Malignancy at Surgery in Atypical Breast Lesions Discovered on Percutaneous Biopsy Specimens
    Catherine Uzan
    Chafika Mazouni
    Malek Ferchiou
    Laura Ciolovan
    Corinne Balleyguier
    Marie-Christine Mathieu
    Philippe Vielh
    Suzette Delaloge
    Annals of Surgical Oncology, 2013, 20 : 2850 - 2857
  • [3] Is there an Upgrading to Malignancy at Surgery of Mucocele-Like Lesions Diagnosed on Percutaneous Breast Biopsy?
    Diorio, Caroline
    Provencher, Louise
    Morin, Josee
    Desbiens, Christine
    Poirier, Brigitte
    Poirier, Eric
    Hogue, Jean-Charles
    Jacob, Simon
    Cote, Gary
    BREAST JOURNAL, 2016, 22 (02): : 173 - 179
  • [4] A clinical-radiomics nomogram based on multimodal ultrasound for predicting the malignancy risk in solid hypoechoic breast lesions
    Shiyan, Guo
    Liqing, Jiang
    Yueqiong, Yan
    Yan, Zhang
    FRONTIERS IN ONCOLOGY, 2023, 13
  • [5] High-Risk Lesions Identified Only by MRI Core Needle Biopsy in Newly Diagnosed Breast Cancer Patients: Incidence, Upgrades to Malignancy, and Impact on Surgical Therapy
    Alsop, Samantha M.
    Kilgore, Lyndsey J.
    Redick, Mark L.
    Mammen, Joshua M.
    McGinness, Marilee K.
    Wagner, Jamie L.
    Fan, Fang
    Deas, Shenequa L.
    Connor, Carol S.
    ANNALS OF SURGICAL ONCOLOGY, 2014, 21 : 20 - 21
  • [6] Role of Breast MR Imaging for Predicting Malignancy of Histologically Borderline Lesions Diagnosed at Core Needle Biopsy: Prospective Evaluation
    Pediconi, Federica
    Padula, Simona
    Dominelli, Valeria
    Luciani, MariaLaura
    Telesca, Marianna
    Casali, Valeria
    Kirchin, Miles A.
    Passariello, Roberto
    Catalano, Carlo
    RADIOLOGY, 2010, 257 (03) : 653 - 661
  • [7] Benign breast papillary lesions diagnosed on core biopsy: upgrade rate and risk factors associated with malignancy on surgical excision
    Christine MacColl
    Amir Salehi
    Sameer Parpia
    Nicole Hodgson
    Milita Ramonas
    Phillip Williams
    Virchows Archiv, 2019, 475 : 701 - 707
  • [8] Benign breast papillary lesions diagnosed on core biopsy: upgrade rate and risk factors associated with malignancy on surgical excision
    MacColl, Christine
    Salehi, Amir
    Parpia, Sameer
    Hodgson, Nicole
    Ramonas, Milita
    Williams, Phillip
    VIRCHOWS ARCHIV, 2019, 475 (06) : 701 - 707
  • [9] Machine learning can reliably predict malignancy of breast lesions based on clinical and ultrasonographic features
    Buzatto, I. P. C.
    Recife, S. A.
    Miguel, L.
    Bonini, R. M.
    Onari, N.
    Faim, A. L. P. A.
    Silvestre, L.
    Carlotti, D. P.
    Frohlich, A.
    Tiezzi, D. G.
    BREAST CANCER RESEARCH AND TREATMENT, 2024, : 581 - 593
  • [10] High-risk lesions in the breast diagnosed by MRI-guided core biopsy: upgrade rates and features associated with malignancy
    Cha, Eumee
    Ambinder, Emily B.
    Oluyemi, Eniola T.
    Mullen, Lisa A.
    Panigrahi, Babita
    Rossi, Joanna
    Di Carlo, Philip A.
    Myers, Kelly S.
    BREAST CANCER RESEARCH AND TREATMENT, 2022, 196 (03) : 517 - 525
1234