The quantification of choline-containing compounds (Cho) in breast tumors by proton MR spectroscopy (1H-MRS) has been of great interest because such compounds have been linked to malignancy. In this study, an internal reference method for the absolute quantification of Cho metabolite in malignant breast tumors was presented using a clinical 1.5 T scanner. We performed in vitro measurements to examine the accuracy of absolute quantification using four phantoms of known choline chloride concentrations. There was a high correlation between the calculated concentrations by MRS and the known concentrations (r2 > 0.98). We applied the technique to in vivo breast study conducted on 45 patients with biopsy-confirmed breast cancer. After T1 and T2 relaxation times were corrected, the Cho levels in this work had a range of 0.76-21.20 mmol/kg from 34 MR spectra of 32 patients with malignant breast lesions. This result was rather consistent with the previously published value (i.e., 1.38-10 mmol/kg, Bolan et al. in Magn Reson Med 50:1134-1143, 2003). Therefore, we conclude that the internal method using the fully relaxed water as a reference could be used for quantifying Cho metabolite accurately in breast cancer patients using a clinical 1.5 T scanner.
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http://dx.doi.org/10.1007/s10334-006-0032-4 | DOI Listing |
Mol Biol Rep
January 2025
Department of Clinical Pathology, Faculty of Medicine, Alexandria University, Alexandria, Egypt.
Background: The identification of circulating potential biomarkers may help earlier diagnosis of breast cancer, which is critical for effective treatment and better disease outcomes. We aimed to study the role of circ-FAF1 as a diagnostic biomarker in female breast cancer using peripheral blood samples of these patients, and to investigate the relation between circ-FAF1 and different clinicopathological features of the included patients.
Methods And Results: This case-control study enrolled 60 female breast cancer patients and 60 age-matched healthy control subjects.
Sci Rep
January 2025
Center for Informatics Science (CIS), School of Information Technology and Computer Science, Nile University, 26th of July Corridor, Sheikh Zayed City, Giza, 12588, Egypt.
Breast cancer, with its high incidence and mortality globally, necessitates early prediction of local and distant recurrence to improve treatment outcomes. This study develops and validates predictive models for breast cancer recurrence and metastasis using Recurrence-Free Survival Analysis and machine learning techniques. We merged datasets from the Molecular Taxonomy of Breast Cancer International Consortium, Memorial Sloan Kettering Cancer Center, Duke University, and the SEER program, creating a comprehensive dataset of 272, 252 rows and 23 columns.
View Article and Find Full Text PDFRadiother Oncol
January 2025
Department of Radiation Oncology Olivia Newton-John Cancer Wellness & Research Centre Austin Health Victoria Australia; Department of Medical Imaging and Radiation Sciences, Monash University Clayton Victoria Australia; Genesis Care, Ringwood Private Hospital Victoria Australia.
Background And Purpose: Compare breast cancer tumour bed (TB) delineation using stabilised hyaluronic acid (sHA) gel and MRI-simulation versus surgical clips and CT-simulation within same patient cohort.
Materials And Methods: Prospective single arm study of patients undergoing breast conserving surgery. Patients had both clips (≥5) and sHA gel markers inserted to define the TB and underwent MRI and CT simulation scans.
Rev Esp Patol
January 2025
Breast Surgery, Breast Unit, Hospital Universitario Austral, Buenos Aires, Argentina.
Malignant adenomyoepithelioma of the breast is a rare and challenging tumor in terms of diagnosis and treatment. It is exceptional to find this condition in a patient who has had breast cancer treated with breast-conserving surgery and radiotherapy. We present the case of a 46-year-old female patient with a history of invasive lobular carcinoma of the breast, who presented one year later with a malignant adenomyoepithelioma in the same breast, which recurred three times, despite undergoing various surgical treatments and even adjuvant chemotherapy regimen.
View Article and Find Full Text PDFJ Med Internet Res
January 2025
Cancer Screening, American Cancer Society, Atlanta, GA, United States.
Background: The online nature of decision aids (DAs) and related e-tools supporting women's decision-making regarding breast cancer screening (BCS) through mammography may facilitate broader access, making them a valuable addition to BCS programs.
Objective: This systematic review and meta-analysis aims to evaluate the scientific evidence on the impacts of these e-tools and to provide a comprehensive assessment of the factors associated with their increased utility and efficacy.
Methods: We followed the 2020 PRISMA (Preferred Reporting Items for Systematic Reviews and Meta-Analyses) guidelines and conducted a search of MEDLINE, PsycINFO, Embase, CINAHL, and Web of Science databases from August 2010 to April 2023.
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