ArticleBreast cancer research and treatment2020
The shape of breast cancer.
Article in Breast cancer research and treatment, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.
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Who cites it
13 citing papers in PubMed.
- Prone-to-Supine Breast MRI for Tumor Margin Visibility and Surgical Guidance.Journal of breast imaging · 2026Article
- Article
- A quantitative method to compare regional tumor contrast between prone and supine breast MRI.Frontiers in oncology · 2026Article
- Article
- A Multi-institutional Study to Evaluate the Effectiveness and Safety of a Supine MRI-Based Guidance System, the Breast Cancer LocatorAnnals of surgical oncology · 2025Article
- Combining shallow and deep neural networks on pseudo-color enhanced images for digital breast tomosynthesis lesion classification.Frontiers in digital health · 2025Article
- Resection Ratios and Tumor Eccentricity in Breast-Conserving Surgery Specimens for Surgical Accuracy Assessment.Cancers · 2024Article
- Deep Learning for Strain Field Customization in Bioreactor with Dielectric Elastomer Actuator Array.Cyborg and bionic systems (Washington, D.C.) · 2024Article
- Dosimetric variability across a library of computational tumor phantoms.Journal of nuclear medicine : official publication, Society of Nuclear Medicine · 2023Article
- Numerical Estimation of SAR and Temperature Distributions inside Differently Shaped Female Breast Tumors during Radio-Frequency Ablation.Materials (Basel, Switzerland) · 2022Article
- Computational Imaging to Compensate for Soft-Tissue Deformations in Image-Guided Breast Conserving Surgery.IEEE transactions on bio-medical engineering · 2022Article
- Impact of deformation on a supine-positioned image-guided breast surgery approach.International journal of computer assisted radiology and surgery · 2021Article
- Tumor deformation correction for an image guidance system in breast conserving surgery.Proceedings of SPIE--the International Society for Optical EngineeringArticle
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Authors and funding
8 authors.
Funding
Abstract
purposeLittle is known about the three-dimensional shape of breast cancer. Implicit to approaches that localize the center of the tumor for breast-conserving surgery (BCS) of non-palpable cancers is the assumption that breast cancers are spherical about a central point, which may not be accurate.
methodsPre-operative supine breast MRI images were obtained of 83 breast cancer patients undergoing partial mastectomy using supine MRI-guided resection techniques. Three-dimensional (3D) tumor models were derived after radiologists outlined tumor edges on successive MRI slices. Ideal resection volumes were determined by adding 1 cm in every dimension to the actual tumor volume. Geometrically defined parameters were used to define tumor shapes and associations between clinical variables and shapes were examined.
resultsSeventy-five patients had invasive cancer. Breast cancers were categorized into four tumor shapes: 34% of tumors were discoidal, 29% segmental, 19% spherical, and 18% irregular. If hypothetical spherical excisions were performed, non-spherical cases would excise 143% more tissue than the ideal resection volume. When the 3D shape of each tumor was provided to the surgeon during MR-guided BCS, the percentage of tissue overexcised in non-spherical cases was significantly less (143% vs. 66%, p < 0.001).
conclusionsInformation obtained from a supine MRI can be used to generate 3D tumor models and rapidly classify breast tumor shapes. The vast majority of invasive cancers and DCIS are not spherical. Knowledge of tumor shape may allow surgeons to excise breast cancer more precisely.
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