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Validation of the Singapore nomogram for outcome prediction in breast phyllodes tumours: an Australian cohort
  1. Tze Wei Chng1,
  2. Jonathan Y H Lee2,
  3. C Soon Lee3,
  4. HuiHua Li4,
  5. Min-Han Tan5,
  6. Puay Hoon Tan6
  1. 1Department of Anatomical Pathology, Singapore General Hospital, Singapore
  2. 2School of Health and Science, Western Sydney University, Western Sydney, Australia
  3. 3Discipline of Pathology, School of Medicine, Western Sydney University; Cancer Pathology, Bosch Institute, University of Sydney; Ingham Institute for Applied Medical Research, and South Western Sydney Clinical School, UNSW, Liverpool, New South Wales, Australia
  4. 4Division of Medicine, Singapore General Hospital, Singapore
  5. 5Division of Biodevices and Diagnostics, Institute of Bioengineering and Nanotechnology, Singapore
  6. 6Division of Pathology, Singapore General Hospital, Singapore
  1. Correspondence to Dr Puay Hoon Tan, Division of Pathology, Singapore General Hospital, Academia, Level 7 Diagnostics Tower, 20 College Road, Singapore 169856, Singapore; tan.puay.hoon{at}sgh.com.sg

Abstract

Aim To validate the utility of the Singapore nomogram for outcome prediction in breast phyllodes tumours.

Methods Histological parameters, surgical margin status and clinical follow-up data of 34 women diagnosed with phyllodes tumours were analysed. Biostatistics modelling was performed, and the concordance between predicted and observed survivals was calculated.

Results Women with a high nomogram score had an increased risk of developing relapse, which was predicted using the parameters defined by the Singapore nomogram.

Conclusions The Singapore nomogram is useful in predicting outcome in breast phyllodes tumours when applied to an Australian cohort of 34 women.

  • BREAST PATHOLOGY
  • DIAGNOSTICS
  • NEOPLASMS

https://doi.org/10.1136/jclinpath-2016-203951

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    Footnotes

    • Handling editor Runjan Chetty

    • Contributors TWC: collation of data and preparation of manuscript; JYHL and CSL: contribution of data; HL: biostatistical analysis; M-HT: reading of and contribution to manuscript; PHT: supervision of study and editing of manuscript.

    • Competing interests None declared.

    • Ethics approval South Western Sydney Local Health District Ethics and Research Governance Office (HREC reference: HREC/12/LPOOL/102).

    • Provenance and peer review Not commissioned; externally peer reviewed.