Literature DB >> 21696957

Pathological and mammographic prognostic factors for screen detected cancers in a multi-centre randomised, controlled trial of mammographic screening in women from age 40 to 48 years.

R L Bennett1, A J Evans, E Kutt, C Record, L G Bobrow, I O Ellis, A Hanby, S M Moss.   

Abstract

AIM: To assess pathological and radiological prognostic factors for cancers detected by screening within a multi-centre RCT trial of mammographic screening of younger women.
METHOD: The survival of 232 women with screen detected invasive cancer was ascertained. Data on invasive cancer size, histological grade, nodal status, vascular invasion, mammographic spiculation, comedo calcification and mammographic background were assessed. Kaplan-Meier and Cox proportional hazards methods were used to examine survival.
RESULTS: Univariate analysis indicated that women with cancers with the following features had poorer survival; ≥ 30 mm, histologically grade 3, heavily node positive (4 or more positive nodes), vascular invasion positive and displaying mammographic comedo calcification. In a multivariate model survival remained poorer in women with four or more nodes positive (HR 8.36, 95% CI 2.31, 30.17) and in those with comedo calcification (HR 3.00,95% CI 1.13, 7.99).
CONCLUSION: Nodal status and the presence of mammographic comedo calcification have independent prognostic significance in young women with screen detected cancer.
Copyright © 2011 Elsevier Ltd. All rights reserved.

Entities:  

Mesh:

Year:  2011        PMID: 21696957     DOI: 10.1016/j.breast.2011.05.008

Source DB:  PubMed          Journal:  Breast        ISSN: 0960-9776            Impact factor:   4.380


  8 in total

1.  Microcalcification-Associated Breast Cancer: Presentation, Successful First Excision, Long-Term Recurrence and Survival Rate.

Authors:  Marga B Rominger; Carolin Steinmetz; Ronny Westerman; Annette Ramaswamy; Ute-Susann Albert
Journal:  Breast Care (Basel)       Date:  2015-10-16       Impact factor: 2.860

2.  The relationship between cancer detection in mammography and image quality measurements.

Authors:  Alistair Mackenzie; Lucy M Warren; Matthew G Wallis; Rosalind M Given-Wilson; Julie Cooke; David R Dance; Dev P Chakraborty; Mark D Halling-Brown; Padraig T Looney; Kenneth C Young
Journal:  Phys Med       Date:  2016-04-06       Impact factor: 2.685

3.  Elastic stains in the evaluation of DCIS with comedo necrosis in breast cancers.

Authors:  Tamás Zombori; Gábor Cserni
Journal:  Virchows Arch       Date:  2017-11-03       Impact factor: 4.064

4.  BI-RADS 3-5 microcalcifications can preoperatively predict breast cancer HER2 and Luminal a molecular subtype.

Authors:  DongZhi Cen; Li Xu; Ningna Li; Zhiguang Chen; Lu Wang; Shuqin Zhou; Biao Xu; Chun Ling Liu; Zaiyi Liu; Tingting Luo
Journal:  Oncotarget       Date:  2017-02-21

5.  Imaging Biomarkers as Predictors for Breast Cancer Death.

Authors:  Wendy Yi-Ying Wu; Laszlo Tabar; Tibor Tot; Ching-Yuan Fann; Amy Ming-Fang Yen; Sam Li-Sheng Chen; Sherry Yueh-Hsia Chiu; May Mei-Sheng Ku; Chen-Yang Hsu; Kerri R Beckmann; Robert A Smith; Stephen W Duffy; Hsiu-Hsi Chen
Journal:  J Oncol       Date:  2019-04-10       Impact factor: 4.375

6.  Are baseline ultrasound and mammographic features associated with rates of pathological completes response in patients receiving neoadjuvant chemotherapy for breast cancer?

Authors:  Sarah L Savaridas; Yee Ting Sim; Sarah J Vinnicombe; Colin A Purdie; Alastair M Thompson; Andy Evans
Journal:  Cancer Imaging       Date:  2019-10-21       Impact factor: 3.909

7.  Secretion of BMP-2 by tumor-associated macrophages (TAM) promotes microcalcifications in breast cancer.

Authors:  Shuo Wang; Haiyang Jiang; Caiwei Zheng; Ming Gu; Xinyu Zheng
Journal:  BMC Cancer       Date:  2022-01-04       Impact factor: 4.430

8.  Gene expression profiling of calcifications in breast cancer.

Authors:  Sung Ui Shin; Jeonghoon Lee; Ju Han Kim; Won Hwa Kim; Sung Eun Song; Ajung Chu; Hoe Suk Kim; Wonshik Han; Han Suk Ryu; Woo Kyung Moon
Journal:  Sci Rep       Date:  2017-09-12       Impact factor: 4.379

  8 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.