A simple index using video image analysis to predict disease outcome in primary breast cancer
Explore this paper's citation graph
Summary
It is concluded that image measurements of ER and proliferative rate can be combined with tumour size to construct a prognostic index which reliably predicts disease outcome in primary breast cancer without knowledge of the nodal status of the patient.
- Type
- article
- Published
- 1999-06-21
- Cited by
- 34
- References
- 24
- OpenAlex
- https://openalex.org/W1985818037
- Semantic Scholar
- https://api.semanticscholar.org/CorpusID:25996659
Keywords
Breast cancer, Medicine, Oncology, Univariate analysis, Cancer
References
- Prognosis based on primary breast carcinoma instead of pathological nodal status.
- Histological Grading and Prognosis in Breast Cancer
- Detection of discrete androgen receptor epitopes in prostate cancer by immunostaining: measurement by color video image analysis.
- Prognostic factors in early breast carcinoma
- Application of quantitative analysis to biologic profile evaluation in breast cancer
- Relationship between p53 gene abnormalities and other tumour characteristics in breast‐cancer prognosis
- Barriers to clinical trials: Part III: Knowledge and attitudes of health care providers
- A simple index to predict prognosis independent of axillary node information in breast cancer.
- Predictors of axillary lymph node metastases in patients with T1 breast carcinoma
- Dangers of using "optimal" cutpoints in the evaluation of prognostic factors.
- Estrogen and progesterone receptors in breast cancer: comparison between enzyme immunoassay and computer-assisted image analysis of immunocytochemical assay.
- MIB-1 proliferative activity in invasive breast cancer measured by image analysis.
- Statistical aspects of prognostic factor studies in oncology.
- Relationship between ploidy and steroid hormone receptors in primary invasive breast cancer.
- Estrogen and progesterone receptor status determined by the Ventana ES 320 automated immunohistochemical stainer and the CAS 200 image analyzer in 236 early‐stage breast carcinomas: Prognostic significance
- Breast cancer prognostic factors: evaluation guidelines.
- Her-2/neu expression in node-negative breast cancer: direct tissue quantitation by computerized image analysis and association of overexpression with increased risk of recurrent disease.
- Application of artificial neural networks to clinical medicine
- Monoclonal antibodies against recombinant parts of the Ki‐67 antigen (MIB 1 and MIB 3) detect proliferating cells in microwave‐processed formalin‐fixed paraffin sections
- Improvement of the quantification of estrogen and progesterone receptors in paraffin-embedded tumors by image analysis.
Cited by
- Targeting within ER positive early breast cancer : patient selection for current therapies and novel therapeutic approaches in a heterogeneous group
- Comparative Biomarker Expression and RNA Integrity in Biospecimens Derived from Radical Retropubic and Robot-Assisted Laparoscopic Prostatectomies
- Prognostic comparative study of S-phase fraction and Ki-67 index in breast carcinoma
- Semi-quantitative immunohistochemical assay versus oncotype DX® qRT-PCR assay for estrogen and progesterone receptors: an independent quality assurance study
- Cost-effectiveness of using prognostic information to select women with breast cancer for adjuvant systemic therapy.
- Systematic Review on Hormone Receptor Testing in Breast Cancer
- Does lack of tocopherols and tocotrienols put women at increased risk of breast cancer?
- Aromatase Inhibitors and Xenograft Studies
- Prognostic indexes in breast cancer: comparison of the Nottingham and Adelaide indexes.
- Proliferation markers and survival in early breast cancer: a systematic review and meta-analysis of 85 studies in 32,825 patients.
- Aromatase, Aromatase Inhibitors, and Breast Cancer
- Prognostic Models: A Methodological Framework and Review of Models for Breast Cancer
- Cancer care Ontario guideline recommendations for hormone receptor testing in breast cancer.
- Quantitative measures of estrogen receptor expression in relation to breast cancer-specific mortality risk among white women and black women
- American Society of Clinical Oncology/College Of American Pathologists guideline recommendations for immunohistochemical testing of estrogen and progesterone receptors in breast cancer.
- LEA-135 expression: its association with a lower risk of recurrence and increased overall survival of patients with lymph node-positive primary invasive breast cancer.
- Ki-67: level of evidence and methodological considerations for its role in the clinical management of breast cancer: analytical and critical review
- Global Levels of Specific Histone Modifications and an Epigenetic Gene Signature Predict Prostate Cancer Progression and Development
- Markers of Prognosis and Response to Treatment: Ready for Clinical Use in Oncology? A Biostatistician's Viewpoint
- American Society of Clinical Oncology/College of American Pathologists Guideline Recommendations for Immunohistochemical Testing of Estrogen and Progesterone Receptors in Breast Cancer
Related papers
- COX multivariate regression analysis of prognostic factors for cutaneous malignant melanoma
- Clinical stage I and II endometrial carcinoma: multivariate analysis of prognostic factors.
- Prognostic impact of different TNM‐based stage groupings for oral squamous cell carcinoma
- Prognostic factors for patients with glioma
- Clearance of blasts from peripheral blood during induction chemotherapy using exponential decay model predicts complete remission and long‐term survival in adult acute myeloid leukemia
- [Analysis of factors affecting reccurence and prognosis of superficial bladder cancer--study of 800 patients--].
- Prognostic factors for local control, regional control and survival in oropharyngeal squamous cell carcinoma.
- DERIVATION AND VALIDATION OF A NOVEL LIPID‐COVERED PROGNOSTIC SCORING SYSTEM FOR NEWLY DIAGNOSED MATURE T AND NK CELL LYMPHOMAS