Breast cancer is one of the most frequently encountered malignant tumors of women. Early detection can save lives successfully. A safe, effective detection method is needed. The detection of breast cancer based on the laser-tissue interactions is an international research focus. The prototype of the detection system in the authors' lab uses a 780 nm low frequency modulated laser to penetrate breast tissue. Two-dimensional scan is processed under the control of computer. A photomultiplier tube (PMT) is used to get the penetrated light and convert it to electrical signal. The signal of light intensity is sampled by the system and used to get the near infrared penetrating image of breast after data processing. In the present paper the signal processing method is discussed and the data processing results in the lab experiments are given. Clinical trials were carried out in the Cancer Institute and Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, using NIR (near infrared light) breast scanner developed by the authors' lab. The investigations were performed after approval by the ethic committee of Cancer Institute and Hospital, Chinese Academy of Medical Sciences. Written informed consent was obtained from each subject. None of the patients' names, initials, or hospital numbers was used in this paper. Fifty patients underwent the examination. Thirty four of them were malignant, and 13 were benign. The other 3 lacked pathology results. Analysis and comparison were executed to evaluate the result. NIR images, mammographs, and the ultrasound images were compared with both the pathology results and each other. The accuracy percentage of NIR image reaches 72.5%, which is between the accuracy percentage of ultrasound (77.50%) and that of mammography (71.88%). In this paper, the characteristics of different breast diseases were found in NIR images, which offers criterion for NIR diagnosis method in detail. The typical NIR images of different diseases, such as papillomatosis with local cancer and cancer, were shown. The clinical trial verified the validity of tumor diagnosis with the special absorption of NIR light by hemoglobin. Both the position and the benign/malignant property of tumor can be detected by NIR method. The improving aspects of the prototype were proposed. A new approach was put forward to the optical method.
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East Mediterr Health J
December 2024
Department of Radiology, King Abdulaziz University, Jeddah, Saudi Arabia.
Background: Breast cancer is often thought to occur at a younger age among Arab women based on the mean or median age at diagnosis, or the proportion of women diagnosed with breast cancer at a young age.
Objective: To compare age-specific breast cancer incidence rates among women from selected Arab countries with selected high- and middle-income countries.
Methods: We examined population-based, age-specific, national or regional breast cancer incidence data for 2008-2012 and 2013-2017 from Australia, Brazil, Canada, Germany, Japan, United Kingdom, and United States of America, and compared them with data from Algeria, Bahrain, Jordan, Kuwait, Morocco, Qatar, and Saudi Arabia.
Pharm Dev Technol
January 2025
Department of Pharmacy, School of Chemistry and Chemical Engineering, Liaoning Normal University, Dalian 116029, China.
In this paper, the pH-sensitive targeting functional material NGR-poly(2-ethyl-2-oxazoline)-cholesteryl methyl carbonate (NGR-PEtOz-CHMC, NPC) modified quercetin (QUE) liposomes (NPC-QUE-L) was constructed. The structure of NPC was confirmed by infrared spectroscopy (IR) and nuclear magnetic resonance hydrogen spectrum (H-NMR). Pharmacokinetic results showed that the accumulation of QUE in plasma of the NPC-QUE-L group was 1.
View Article and Find Full Text PDFJ Med Econ
January 2025
UNESCO-TWAS, The World Academy of Sciences, Trieste, Italy.
Aim: Dynamic cancer control is a current health system priority, yet methods for achieving it are lacking. This study aims to review the application of system dynamics modeling (SDM) on cancer control and evaluate the research quality.
Methods: Articles were searched in PubMed, Web of Science, and Scopus from the inception of the study to November 15th, 2023.
Int J Surg
January 2025
Computer Science and Technology, Harbin Institute of Technology (Shenzhen), Shenzhen, China.
Detection of biomarkers of breast cancer incurs additional costs and tissue burden. We propose a deep learning-based algorithm (BBMIL) to predict classical biomarkers, immunotherapy-associated gene signatures, and prognosis-associated subtypes directly from hematoxylin and eosin stained histopathology images. BBMIL showed the best performance among comparative algorithms on the prediction of classical biomarkers, immunotherapy related gene signatures, and subtypes.
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