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Updated: Aug 2, 2025

Tissue-simulating Phantoms for Assessing Potential Near-infrared Fluorescence Imaging Applications in Breast Cancer Surgery
Published on: September 19, 2014
Refining the classification of breast phyllodes tumours.
1Luma Medical Centre, Singapore; KK Women's and Children's Hospital, Singapore; Department of Anatomy, Yong Loo Lin School of Medicine, National University of Singapore, Singapore; Department of Pathology, University of Western Sydney, Sydney, NSW, Australia.
Phyllodes tumours of the breast present classification challenges due to complex histological grading. Refining their classification requires a collaborative, evidence-based approach for improved diagnostic accuracy.
Area of Science:
- Oncology
- Pathology
- Breast Cancer Research
Background:
- Phyllodes tumours of the breast are rare fibroepithelial neoplasms.
- Current classification relies on multiple histological parameters, leading to grading challenges.
- Pathologist concordance in typing and grading is often low, particularly for borderline cases.
Purpose of the Study:
- To address the recurrent classification challenges in phyllodes tumours of the breast.
- To explore the translation of molecular findings into clinical practice for phyllodes tumours.
- To outline a multipronged approach for refining phyllodes tumour classification.
Main Methods:
- Review of histological parameters used for grading phyllodes tumours.
- Assessment of the application of World Health Organization (WHO) Classification criteria in routine practice.
- Consideration of recent molecular information and its diagnostic utility.
- Leveraging global contributions from the International Fibroepithelial Consortium.
- Utilizing support from the International Collaboration on Cancer Classification and Research (IC³R) and International Collaboration on Cancer Reporting (ICCR).
Main Results:
- Histological parameters like stromal hypercellularity, atypia, mitotic count, overgrowth, and tumour borders contribute to classification difficulties.
- Discrepancies exist in the routine application of WHO diagnostic criteria.
- Molecular data has shown diagnostic promise but is not yet integrated into daily practice.
- A collaborative, evidence-based strategy is proposed to enhance classification reproducibility and prognostic precision.
Conclusions:
- Refining the classification of phyllodes tumours is essential for improved patient outcomes.
- A standardized, reproducible, and prognostically precise classification system is needed.
- International collaboration and evidence translation are key to advancing phyllodes tumour classification.
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