Literature DB >> 20840410

Predicting occult malignancy in nipple discharge.

Chris Alcock1, Graham T Layer.   

Abstract

BACKGROUND: This study was a retrospective analysis of patients who underwent minor or major duct surgery for pathological nipple discharge. The results of clinical examination, mammography, ultrasonography and cytodiagnosis of the nipple discharge were studied in order to predict those patients at risk of underlying or occult malignancy.
METHODS: Between January 2004 and December 2006, 55 female patients aged between 24 and 82 years old underwent major or minor duct excision, 49 of which were for pathological nipple discharge. Results of several preoperative investigations were compared with the surgical pathology to determine how their sensitivity and specificity faired in predicting malignant ductal pathology.
RESULTS: Of the 49 patients undergoing surgery for nipple discharge, 21 were diagnosed with intraductal papilloma, 19 with duct ectasia, 6 with carcinoma, 2 with benign breast disease and 1 with lobular carcinoma in situ. In all of the patients determined to have malignancy, none demonstrated malignant changes on mammography or ultrasonography. Only 2 of the 6 patients with malignancy were found to have atypical cells on cytological analysis. The sensitivity of blood detected in nipple discharge at predicting malignancy was 0.83, specificity of 0.53, positive predictive value of 0.20 and negative predictive value 0.96.
CONCLUSIONS: Despite the various tests used in the assessment of pathological nipple discharge, this study highlights their limited help at predicting the cause. This, together with several other studies, demonstrates that ductal surgery remains the only reliable way of providing a diagnosis, in addition to being the major therapeutic measure.
© 2010 The Authors. ANZ Journal of Surgery © 2010 Royal Australasian College of Surgeons.

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Year:  2010        PMID: 20840410     DOI: 10.1111/j.1445-2197.2010.05270.x

Source DB:  PubMed          Journal:  ANZ J Surg        ISSN: 1445-1433            Impact factor:   1.872


  7 in total

Review 1.  Magnetic resonance imaging in the evaluation of pathologic nipple discharge: indications and imaging findings.

Authors:  Naziya Samreen; Laura B Madsen; Celin Chacko; Samantha L Heller
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2.  Reliability of Breast Ultrasound BI-RADS Final Assessment in Mammographically Negative Patients with Nipple Discharge and Radiologic Predictors of Malignancy.

Authors:  Chae Jung Park; Eun-Kyung Kim; Hee Jung Moon; Jung Hyun Yoon; Min Jung Kim
Journal:  J Breast Cancer       Date:  2016-09-23       Impact factor: 3.588

Review 3.  Diagnostic Accuracy of Nipple Discharge Fluid Cytology: A Meta-Analysis and Systematic Review of the Literature.

Authors:  Natasha Jiwa; Swathica Kumar; Rishikesh Gandhewar; Hemali Chauhan; Vikneswaran Nagarajan; Corrina Wright; Dimitri Hadjiminas; Zoltan Takats; Hutan Ashrafian; Daniel Richard Leff
Journal:  Ann Surg Oncol       Date:  2021-11-27       Impact factor: 5.344

4.  Feasibility of Narrow-Band Imaging, Intraductal Biopsy, and Laser Ablation During Mammary Ductoscopy: Protocol for an Interventional Study.

Authors:  S Makineli; M D Filipe; F Euwe; A Sakes; J Dankelman; P Breedveld; M R Vriens; P J van Diest; A J Witkamp
Journal:  Int J Surg Protoc       Date:  2022-09-01

5.  A comparative analysis of diagnostic values of high-frequency ultrasound and fiberoptic ductoscopy for pathologic nipple discharge.

Authors:  Hongmei Yuan; Xuemei Tang; Xurong Mou; Yuhong Fan; Xiang Yan; Jinsui Li; Lingmi Hou; Min Ren
Journal:  BMC Med Imaging       Date:  2022-09-02       Impact factor: 2.795

6.  Diagnostic accuracy of shear wave elastography for prediction of breast malignancy in patients with pathological nipple discharge.

Authors:  Xiaobo Guo; Ying Liu; Wanhu Li
Journal:  BMJ Open       Date:  2016-01-22       Impact factor: 2.692

7.  Low-dose CT combined mammography in diagnosis of overflow breast disease: A protocol of systematic review.

Authors:  Hao Tian; Shao-Jun Hu; Qun Tang; Fei-Hong Ma; Rong-Rong Yao
Journal:  Medicine (Baltimore)       Date:  2020-07-02       Impact factor: 1.817

  7 in total

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