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1.
Breast J ; 25(6): 1117-1125, 2019 11.
Article in English | MEDLINE | ID: mdl-31286623

ABSTRACT

Development of brain metastasis (BM) and leptomeningeal (LM) disease in breast cancer (BC) patients indicates poor prognosis and impairs patients' quality of life. Prognostic survival scores for BM can help predict expected survival in order to choose the most appropriate treatment. The aim of our study was to analyze national data for BC patients treated with radiation therapy for BM/LM disease and validate the applicability of different survival prognostic scores. We retrospectively evaluated medical records of 423 BC patients with BM/LM disease receiving radiation therapy between April 2005 and December 2015. Patients were classified by BC Recursive Partitioning Analysis (B-RPA), Breast Graded Prognostic Assessment (Breast-GPA), Modified Breast Graded Prognostic Assessment (MB-GPA), and Simple Survival score for patients with BM from BC (SS-BM). Overall survival (OS) was calculated from the development of BM/LM disease to death or last follow-up date. After a median follow-up of 7.5 years, the median OS was 6.9 months (95% CI 5.5-7.8, range 0-146.4) and 1- and 2-year survival rates were 35% and 17%, respectively. Survival analysis showed significant differences in median OS regarding biologic subtypes (P < 0.0001), as follows: 3.2 (95% Confidence Interval (CI) 2.5-3.9), 3.9 (95% CI 2.3-5.6), 7.1 (95% CI 4.3-9.8), 12.1 (95% CI 8.3-15.9), and 15.4 (95% CI 8.8-22.1) months for primary triple-negative BC (TNBC), Luminal B HER2-negative, Luminal A, HER2-enriched, and Luminal B HER2-positive tumors, respectively. Good Karnofsky Performance Status (KPS), single metastasis, and absence of LM or extracranial disease all demonstrated better OS in univariate and multivariate analysis. All four employed prognostic indexes provided good prognostic value in predicting survival. SS-BM and MB-GPA showed the best discriminating ability (Concordance indexes C were 0.768 and 0.738, respectively). This study presents one of the largest single-institution series validating prognostic scores for BC patients with BM/LM. SS-BM and MB-GPA proved to be useful tools in the clinical decision-making process.


Subject(s)
Brain Neoplasms/secondary , Breast Neoplasms/mortality , Meningeal Neoplasms/secondary , Adult , Aged , Aged, 80 and over , Brain Neoplasms/mortality , Brain Neoplasms/radiotherapy , Clinical Decision-Making , Female , Humans , Kaplan-Meier Estimate , Meningeal Neoplasms/mortality , Meningeal Neoplasms/radiotherapy , Middle Aged , Proportional Hazards Models , Quality of Life , Retrospective Studies
2.
Med Biol Eng Comput ; 46(8): 745-57, 2008 Aug.
Article in English | MEDLINE | ID: mdl-18415132

ABSTRACT

Electrochemotherapy is an effective antitumor treatment currently applied to cutaneous and subcutaneous tumors. Electrochemotherapy of tumors located close to the heart could lead to adverse effects, especially if electroporation pulses were delivered within the vulnerable period of the heart or if they coincided with arrhythmias of some types. We examined the influence of electroporation pulses on functioning of the heart of human patients by analyzing the electrocardiogram. We found no pathological morphological changes in the electrocardiogram; however, we demonstrated a transient RR interval decrease after application of electroporation pulses. Although no adverse effects due to electroporation have been reported so far, the probability for complications could increase in treatment of internal tumors, in tumor ablation by irreversible electroporation, and when using pulses of longer durations. We evaluated the performance of our algorithm for synchronization of electroporation pulse delivery with electrocardiogram. The application of this algorithm in clinical electroporation would increase the level of safety for the patient and suitability of electroporation for use in anatomical locations presently not accessible to existing electroporation devices and electrodes.


Subject(s)
Electrocardiography , Electrochemotherapy/methods , Heart/physiology , Neoplasms/drug therapy , Aged , Aged, 80 and over , Algorithms , Female , Humans , Male , Middle Aged , Signal Processing, Computer-Assisted
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