Related Experiment Video
Updated: Feb 5, 2026

Integrating Augmented Reality Tools in Breast Cancer Related Lymphedema Prognostication and Diagnosis
Published on: February 6, 2020
Isolated ipsilateral local recurrence of breast cancer: predictive factors and prognostic impact
Gilles Houvenaeghel1, Alexandre de Nonneville2, Monique Cohen3
1Department of Surgical Oncology, CRCM, Institut Paoli-Calmettes, Aix-Marseille Univ, CNRS, INSERM, 232 Bd de Sainte Marguerite, 13009, Marseille, France. g.houvenaeghel@orange.fr.
Background:
Tumour features associated with isolated invasive breast cancer (BC) ipsilateral local recurrence (ILR) after breast conservative treatment (BCT) and consequences on overall survival (OS) are still debated. Our objective was to investigate these points.
Methods:
Patients were retrospectively identified from a cohort of patients who underwent BCT for invasive BC in 16 cancer centres. End-points were ILR rate and OS. The impact of ILR on OS was assessed by multivariate analysis (MVA) for all patients and according to endocrine receptors (ERs) and grade or tumour subtypes.
Results:
Of 15,570 patients, ILR rate was 3.1%. Cumulative ILR rates differed according to ERs/grade (ERs+/Grade2: HR 1.42, p = 0.010; ERs+/Grade3: HR 1.41, p = 0.067; ERs-: HR 2.14, p < 0.0001), endocrine therapy (HR 2.05, p < 0.0001) and age < 40-years old (HR 2.28, p = 0.005) in MVA. When MVA was adjusted on tumour subtype, the latter was the only independent factor. OS-after-ILR was significantly different according to ILR-free intervals (HR 4.96 for ILR-free interval between 2 and 5-years and HR 9.00 when < 2-years, in comparison with ≥ 5-years).
Conclusion:
ERs/Grade status, lack of endocrine therapy and tumour subtypes predict isolated ILR risk in patients treated with BCT. Short ILR-free-intervals represent a strong pejorative factor for OS. These results may help selecting initial treatment as well as tailoring ILR systemic chemotherapy.
More Related Videos
Related Concept Videos
Predicting Molecular Geometry
Impact of Groups on Groups
Prediction Intervals
However, the point estimate is most likely not the exact value of the population parameter, but close to it. After calculating point estimates, we construct interval estimates, called confidence intervals or prediction intervals. This prediction interval comprises a range of values unlike the point estimate and is a better predictor of the observed sample value, y.
Impact
When particles with different initial velocities collide, they induce deformation by applying equal and opposite impulses. At the point of maximum deformation, the particles move together with...
Transcription Factors
End Point Prediction: Gran Plot
For potentiometric titration, the Gran plot is created by plotting...

