Monitoring and personalization in treatment of breast cancer patients with metastatic bone lesions
-
Published:2022-01-31
Issue:1
Volume:
Page:37-48
-
ISSN:2504-5679
-
Container-title:EUREKA: Health Sciences
-
language:
-
Short-container-title:Eureka: HS
Author:
Konovalenko VolodymyrORCID, Drobotun OlegORCID, Ternovyy NikolaiORCID, Konovalenko SergiiORCID, Garashchenko OksanaORCID
Abstract
The aim. To increase the efficiency of treatment of BC patients with metastatic lesions of long tubular bones by using, Multidetector computed tomography (MDCT) and bone marrow markers for diagnostics and monitoring the clinical course of the oncologic process, accompanied by surgical intervention with endoprosthetics along with the treatment of polymorbid pathology in a specific patient.
Materials and methods. Authors provide systemic personification including visualization of the tumor site and its vascularization; printing out the 3D model; surgical planning, including optimal surgical access to the tumor site considering the volume and topographic and anatomical location and dissemination of the tumor, the convenience of intraoperative tasks (removal of the tumor, bone grafting or endoprosthetics), preoperative planning of bone resection lines with maximum preservation of intact bone tissue.
Results. Personalization of the treatment of breast cancer patients with metastatic bone lesions contributes to a significant reduction in postoperative complications of endoprosthetic replacement of large joints (up to 15.2 %) and increases the overall three-year survival rate (up to 40.6 %), as well as significantly improves their quality of life.
Conclusions. The personalization of treatment of patients with tumor lesions of the skeletons contributes to a significant decrease in the indicator of postoperative complications of endoprosthetics of great joints and to an increase in the total three-year survival rate, as well as to the improvement of the quality of life after the conducted treatment.
Publisher
OU Scientific Route
Subject
Computer Networks and Communications,Hardware and Architecture,Software
Reference46 articles.
1. Karatas, M., Zengel, B., Durusoy, R., Tasli, F., Adibelli, Z., Simsek, C., Uslu, A. (2021). Clinicopathologic features of single bone metastasis in breast cancer. Medicine, 100 (1), e24164. doi: http://doi.org/10.1097/md.0000000000024164 2. Bongiovanni, A., Foca, F., Fantini, M., Forcignanò, M. R., Artioli, F., Berardi, R. et. al. (2021). First prospective data on breast cancer patients from the multicentre italian bone metastasis database. Scientific Reports, 11 (1). doi: http://doi.org/10.1038/s41598-021-83749-1 3. Coleman, R. E. (2001). Metastatic bone disease: clinical features, pathophysiology and treatment strategies. Cancer Treatment Reviews, 27 (3), 165–176. doi: http://doi.org/10.1053/ctrv.2000.0210 4. Suva, L. J., Griffin, R. J., Makhoul, I. (2009). Mechanisms of bone metastases of breast cancer. Endocrine-Related Cancer, 16 (3), 703–713. doi: http://doi.org/10.1677/erc-09-0012 5. Taverna, S., Giusti, I., D’Ascenzo, S., Pizzorno, L., Dolo, V. (2020). Breast Cancer Derived Extracellular Vesicles in Bone Metastasis Induction and Their Clinical Implications as Biomarkers. International Journal of Molecular Sciences, 21 (10), 3573. doi: http://doi.org/10.3390/ijms21103573
|
|