المؤلفون: Li-Fang Yu, Chao-Chao Dai, Luo-Xi Zhu, Xiao-Jing Xu, Hong-Ju Yan, Chen-Xiang Jiang, Ling-Yun Bao

المصدر: BMC Medical Imaging, Vol 24, Iss 1, Pp 1-10 (2024)

مصطلحات موضوعية: Automated breast ultrasound, Mammopgraphy, Microcalcification, Breast imaging reporting and Data System, Medical technology, R855-855.5

الوصف: Abstract Background Automated Breast Ultrasound (AB US) has shown good application value and prospects in breast disease screening and diagnosis. The aim of the study was to explore the ability of AB US to detect and diagnose mammographically Breast Imaging Reporting and Data System (BI-RADS) category 4 microcalcifications. Methods 575 pathologically confirmed mammographically BI-RADS category 4 microcalcifications from January 2017 to June 2021 were included. All patients also completed AB US examinations. Based on the final pathological results, analyzed and summarized the AB US image features, and compared the evaluation results with mammography, to explore the detection and diagnostic ability of AB US for these suspicious microcalcifications. Results 250 were finally confirmed as malignant and 325 were benign. Mammographic findings including microcalcifications morphology (61/80 with amorphous, coarse heterogeneous and fine pleomorphic, 13/14 with fine-linear or branching), calcification distribution (189/346 with grouped, 40/67 with linear and segmental), associated features (70/96 with asymmetric shadow), higher BI-RADS category with 4B (88/120) and 4 C (73/38) showed higher incidence in malignant lesions, and were the independent factors associated with malignant microcalcifications. 477 (477/575, 83.0%) microcalcifications were detected by AB US, including 223 malignant and 254 benign, with a significantly higher detection rate for malignant lesions (x 2 = 12.20, P

وصف الملف: electronic resource

العلاقة: https://doaj.org/toc/1471-2342Test

الوصول الحر: https://doaj.org/article/320baf50ec664cbca370ec54bff8dc2eTest

المؤلفون: Yunpeng Li, Min Li, Yueqiu Zhang

المصدر: Asian Journal of Surgery, Vol 47, Iss 4, Pp 1776-1780 (2024)

مصطلحات موضوعية: Non-palpable breast microcalcification, Non-invasive, Localization, Mammography, Breast cancer, Surgery, RD1-811

الوصف: Technique: From January 1, 2018, to December 31, 2021, we localized the breast microcalcification of 40 patients before the surgical excision. We measured the distance between the nipple and the center of the calcification on the CC view and the ML view, respectively. The operation proceeded around the intersection between two lines, slightly larger than the diameter of the microcalcification. We also analyze the pathological findings. Results: All 40 patients successfully detected calcification by mammograms preoperatively using the method mentioned above. 38 patients have the microcalcification removal within the one-time operation, while the other two underwent an extended lumpectomy. 20 of 40 calcifications (50 %) were malignant and 12(30 %) were precancerous lesions. In the group of women older than 45 years old, the percentages of malignant and atypical hyperplasias are 56.25 % (18/32) and 31.25 % (10/32) respectively. Conclusion: Our non-invasive method of preoperative localization is safe and cost-effective. Furthermore, initial observations suggest that there may be a link between age and malignant microcalcification.

وصف الملف: electronic resource

العلاقة: http://www.sciencedirect.com/science/article/pii/S1015958423020511Test; https://doaj.org/toc/1015-9584Test

الوصول الحر: https://doaj.org/article/5fe137fac02c43e59088fb8df528c3c9Test

المؤلفون: Eun Young Kim, Kwan Ho Lee, Ji-Sup Yun, Yong Lai Park, Chan Heun Park, Sung Yoon Jang, Jai Min Ryu, Se Kyung Lee, Byung-Joo Chae, Jeong Eon Lee, Seok Won Kim, Seok Jin Nam, Jong Han Yu

المصدر: BMC Women's Health, Vol 24, Iss 1, Pp 1-13 (2024)

مصطلحات موضوعية: Breast neoplasms, Mammography, Microcalcification, Neoadjuvant, Recurrence, Gynecology and obstetrics, RG1-991, Public aspects of medicine, RA1-1270

الوصف: Abstract Background Residual microcalcifications after neoadjuvant chemotherapy (NAC) are challenging for deciding extent of surgery and questionable for impact on prognosis. We investigated changes in the extent and patterns of microcalcifications before and after NAC and correlated them with pathologic response. We also compared prognosis of patients depending on presence of residual microcalcifications after NAC. Methods A total of 323 patients with invasive breast carcinoma treated with neoadjuvant chemotherapy at Kangbuk Samsung Hospital and Samsung Medical center from March 2015 to September 2018 were included. Patients were divided into four groups according to pathologic response and residual microcalcifications. Non-pCRw/mic group was defined as breast non-pCR with residual microcalcifications. Non-pCRw/o mic group was breast non-pCR without residual microcalcifications. pCRw/mic group was breast pCR with residual microcalcifications. pCRw/o mic group was breast pCR without residual microcalcifications. The first aim of this study is to investigate changes in the extent and patterns of microcalcifications before and after NAC and to correlate them with pathologic response. The second aim is to evaluate oncologic outcomes of residual microcalcifications according to pathologic response after NAC. Results There were no statistical differences in the extent, morphology, and distribution of microcalcifications according to pathologic response and subtype after NAC (all p > 0.05). With a median follow-up time of 71 months, compared to pCRw/o mic group, the hazard ratios (95% confidence intervals) for regional recurrence were 5.190 (1.160–23.190) in non-pCRw/mic group and 5.970 (1.840–19.380) in non-pCRw/o mic group. Compared to pCRw/o mic group, the hazard ratios (95% CI) for distant metastasis were 8.520 (2.130–34.090) in non-pCRw/mic group, 9.120 (2.850–29.200) in non-pCRw/o mic group. Compared to pCRw/o mic, the hazard ratio (95% CI) for distant metastasis in pCRw/mic group was 2.240 (0.230–21.500) without statistical significance (p = 0.486). Conclusions Regardless of residual microcalcifications, patients who achieved pCR showed favorable long term outcome compared to non-pCR group.

وصف الملف: electronic resource

العلاقة: https://doaj.org/toc/1472-6874Test

الوصول الحر: https://doaj.org/article/4f6eab04b1144f0ba03d62523d0e4661Test

المؤلفون: Xinjie Liu, Yuhan Bao, Laijian Sui, Jianqiao Cao, Yidan Wang, Chao Yu, Guangdong Qiao, Yizi Cong

المصدر: World Journal of Surgical Oncology, Vol 22, Iss 1, Pp 1-10 (2024)

مصطلحات موضوعية: Breast, Multidetector computed tomography, Mammography, Microcalcification, Surgery, RD1-811, Neoplasms. Tumors. Oncology. Including cancer and carcinogens, RC254-282

الوصف: Abstract Background To explore the capability and clinical significance of chest thin-section computed tomography (CT) for localization of mammographically detected clustered microcalcifications. Methods A total of 69 patients with 71 mammographically detected clustered microcalcifications received surgical biopsy under the guidance of mammography (MG), CT was used to localize calcifications combined with MG if calcifications can be seen on CT. Intraoperative mammography of the specimens were performed in all cases for identification of the resected microcalcifications. The clinical, imaging and pathological information of these patients were analyzed. Results A total of 42 (59.15%) cases of calcifications were localized by CT + MG, 29 (40.85%) cases were guided only by the mammography. All suspicious calcifications on the mammography were successfully removed. Pathological results showed 42 cases were cancer, 23 cases were benign, and 6 cases were atypical hyperplasia. The mean age in the CT + MG group was older than that of the MG group (54.12 vs. 49.27 years; P = 0.014). The maximum diameter of clusters of microcalcifications on mammography in the CT + MG group was larger than that of the MG group [(cranio-caudal view, 1.52 vs. 0.61 mm, P = 0.000; mediolateral oblique (MLO) view, 1.53 vs. 0.62 mm, P = 0.000)]. The gray value ratio (calcified area / paraglandular; MLO, P = 0.004) and the gray value difference (calcified area - paraglandular; MLO, P = 0.005) in the CT + MG group was higher than that of the MG group. Multivariate analysis showed that the max diameter of clusters of microcalcifications (MLO view) was a significant predictive factor of localization by CT in total patients (P = 0.001). Conclusions About half of the mammographically detected clustered microcalcifications could be localized by thin-section CT. Maximum diameter of clusters of microcalcifications (MLO view) was a predictor of visibility of calcifications by CT. Chest thin-section CT may be useful for localization of calcifications in some patients, especially for calcifications that are only visible in one view on the mammography.

وصف الملف: electronic resource

العلاقة: https://doaj.org/toc/1477-7819Test

الوصول الحر: https://doaj.org/article/ab33aff93ddb44e99b3e1287ca345f67Test

المؤلفون: Wanrudee Lohitvisate, Chidsupang Kaeorat, Amolchaya Kwankua

المصدر: South African Journal of Radiology, Vol 28, Iss 1, Pp e1-e7 (2024)

مصطلحات موضوعية: ductal carcinoma in situ, benign breast disease, microcalcification, mammography, imaging features, Medical physics. Medical radiology. Nuclear medicine, R895-920

الوصف: Background: Most ductal carcinoma in situ (DCIS) lesions manifest early as calcifications, which could be benign or malignant. The classified group of suspicious calcifications among DCIS and benign breast disease is clinically important to early evaluate patient risk factors and plan treatment options. Objectives: To compare imaging features of suspicious calcifications between DCIS and benign breast disease. Method: A retrospective study of 101 suspicious calcifications was performed at Thammasat University Hospital from June 2011 to October 2020. The calcifications were surgically excised by mammography-guided wire localisation. The mammographic features of the suspicious calcifications were reviewed according to the fifth edition of the American College of Radiology Breast Imaging-Reporting and Data System lexicon. For comparing between two groups, the student t-test, Fisher’s exact test and Mann-Whitney U test were used for statistical analyses. The logistic regression analysis was calculated for DCIS prediction. Results: The pathologic results of all 101 suspicious calcifications were DCIS (30 cases) and benign breast disease (71 cases). Linear morphology and segmental distribution correlated significantly with DCIS (p = 0.003 and p = 0.024, respectively). After multivariable analysis, fine linear calcification still significantly elevated the risk of DCIS (odd ratios, 51.72 [95% confidence interval: 2.61, 1022.89], p-value of 0.01), however, the odds of predicting DCIS was not statistically significant different among any distribution. Conclusion: Ductal carcinoma in situ calcification has contrasting morphology and distribution features compared to benign breast disease. The calcification descriptor is considered an important implement for early diagnosis and distinguishes DCIS from other benign breast conditions. Contribution: Calcification descriptor is considered an important implement for early diagnosis and distinguishment of DCIS from other benign breast conditions.

وصف الملف: electronic resource

العلاقة: https://sajr.org.za/index.php/sajr/article/view/2852Test; https://doaj.org/toc/1027-202XTest; https://doaj.org/toc/2078-6778Test

الوصول الحر: https://doaj.org/article/fffcf1d783be4d428885584ed283ddcdTest

المؤلفون: Jing Ru Teoh, Khairunnisa Hasikin, Khin Wee Lai, Xiang Wu, Chong Li

المصدر: PeerJ Computer Science, Vol 10, p e2082 (2024)

مصطلحات موضوعية: Breast cancer, Early diagnosis, Deep learning, Microcalcification, Ensemble, Electronic computers. Computer science, QA75.5-76.95

الوصف: Background Breast cancer remains a pressing global health concern, necessitating accurate diagnostics for effective interventions. Deep learning models (AlexNet, ResNet-50, VGG16, GoogLeNet) show remarkable microcalcification identification (>90%). However, distinct architectures and methodologies pose challenges. We propose an ensemble model, merging unique perspectives, enhancing precision, and understanding critical factors for breast cancer intervention. Evaluation favors GoogleNet and ResNet-50, driving their selection for combined functionalities, ensuring improved precision, and dependability in microcalcification detection in clinical settings. Methods This study presents a comprehensive mammogram preprocessing framework using an optimized deep learning ensemble approach. The proposed framework begins with artifact removal using Otsu Segmentation and morphological operation. Subsequent steps include image resizing, adaptive median filtering, and deep convolutional neural network (D-CNN) development via transfer learning with ResNet-50 model. Hyperparameters are optimized, and ensemble optimization (AlexNet, GoogLeNet, VGG16, ResNet-50) are constructed to identify the localized area of microcalcification. Rigorous evaluation protocol validates the efficacy of individual models, culminating in the ensemble model demonstrating superior predictive accuracy. Results Based on our analysis, the proposed ensemble model exhibited exceptional performance in the classification of microcalcifications. This was evidenced by the model’s average confidence score, which indicated a high degree of dependability and certainty in differentiating these critical characteristics. The proposed model demonstrated a noteworthy average confidence level of 0.9305 in the classification of microcalcification, outperforming alternative models and providing substantial insights into the dependability of the model. The average confidence of the ensemble model in classifying normal cases was 0.8859, which strengthened the model’s consistent and dependable predictions. In addition, the ensemble models attained remarkably high performances in terms of accuracy, precision, recall, F1-score, and area under the curve (AUC). Conclusion The proposed model’s thorough dataset integration and focus on average confidence ratings within classes improve clinical diagnosis accuracy and effectiveness for breast cancer. This study introduces a novel methodology that takes advantage of an ensemble model and rigorous evaluation standards to substantially improve the accuracy and dependability of breast cancer diagnostics, specifically in the detection of microcalcifications.

وصف الملف: electronic resource

العلاقة: https://peerj.com/articles/cs-2082.pdfTest; https://peerj.com/articles/cs-2082Test/; https://doaj.org/toc/2376-5992Test

الوصول الحر: https://doaj.org/article/22af9230c5a44b20aad658d94c3a2717Test

المؤلفون: Iain D. Lyburn, Robert Scott, Eleanor Cornford, Pascaline Bouzy, Nicholas Stone, Charlene Greenwood, Ihsanne Bouybayoune, Sarah E. Pinder, Keith Rogers

المصدر: Heliyon, Vol 10, Iss 6, Pp e27686- (2024)

مصطلحات موضوعية: Microcalcification, X-ray scatter, Crystallography, Biomarker, Science (General), Q1-390, Social sciences (General), H1-99

الوصف: Rationale and objectives: The potential of breast microcalcification chemistry to provide clinically valuable intelligence is being increasingly studied. However, acquisition of crystallographic details has, to date, been limited to high brightness, synchrotron radiation sources. This study, for the first time, evaluates a laboratory-based system that interrogates histological sections containing microcalcifications. The principal objective was to determine the measurement precision of the laboratory system and assess whether this was sufficient to provide potentially clinical valuable information. Materials and methods: Sections from 5 histological specimens from breast core biopsies obtained to evaluate mammographic calcification were examined using a synchrotron source and a laboratory-based instrument. The samples were chosen to represent a significant proportion of the known breast tissue, mineralogical landscape. Data were subsequently analysed using conventional methods and microcalcification characteristics such as crystallographic phase, chemical deviation from ideal stoichiometry and microstructure were determined. Results: The crystallographic phase of each microcalcification (e.g., hydroxyapatite, whitlockite) was easily determined from the laboratory derived data even when a mixed phase was apparent. Lattice parameter values from the laboratory experiments agreed well with the corresponding synchrotron values and, critically, were determined to precisions that were significantly greater than required for potential clinical exploitation. Conclusion: It has been shown that crystallographic characteristics of microcalcifications can be determined in the laboratory with sufficient precision to have potential clinical value. The work will thus enable exploitation acceleration of these latent microcalcification features as current dependence upon access to limited synchrotron resources is minimized.

وصف الملف: electronic resource

العلاقة: http://www.sciencedirect.com/science/article/pii/S2405844024037174Test; https://doaj.org/toc/2405-8440Test

الوصول الحر: https://doaj.org/article/39581af5426a4809bc943cab839807a9Test

المؤلفون: Tzolos, Evangelos, Kwiecinski, Jacek, Lassen, Martin Lyngby, Cadet, Sebastien, Adamson, Philip D, Moss, Alastair J, Joshi, Nikhil, Williams, Michelle C, van Beek, Edwin JR, Dey, Damini, Berman, Daniel S, Dweck, Marc R, Newby, David E, Slomka, Piotr J

المصدر: Journal of Nuclear Cardiology. 29(1)

مصطلحات موضوعية: Biomedical and Clinical Sciences, Clinical Sciences, Heart Disease, Biomedical Imaging, Atherosclerosis, Cardiovascular, Clinical Research, Heart Disease - Coronary Heart Disease, Detection, screening and diagnosis, 4.2 Evaluation of markers and technologies, Calcinosis, Fluorine Radioisotopes, Humans, Observer Variation, Positron Emission Tomography Computed Tomography, Reproducibility of Results, Sodium, Sodium Fluoride, Motion correction, PET, CT, cardiac PET, F-18-NaF, vulnerable plaque, coronary microcalcification activity, 18F-NaF, PET/CT, Cardiorespiratory Medicine and Haematology, Cardiovascular System & Hematology, Cardiovascular medicine and haematology

الوصف: BackgroundWe aimed to establish the observer repeatability and interscan reproducibility of coronary 18F-sodium-fluoride positron emission tomography (PET) uptake using a novel semi-automated approach, coronary microcalcification activity (CMA).MethodsPatients with multivessel coronary artery disease underwent repeated hybrid PET and computed tomography angiography (CTA) imaging (PET/CTA). CMA was defined as the integrated standardized uptake values (SUV) in the entire coronary tree exceeding 2 standard deviations above the background SUV. Coefficients of repeatability between the same observer (intraobserver repeatability), between 2 observers (interobserver repeatability) and coefficient of reproducibility between 2 scans (interscan reproducibility), were determined at vessel and patient level.ResultsIn 19 patients, CMA was assessed twice in 43 coronary vessels on two PET/CT scans performed 12 ± 5 days apart. There was excellent intraclass correlation for intraobserver and interobserver repeatability as well as interscan reproducibility (all ≥ 0.991). There was 100% intraobserver, interobserver and interscan agreement for the presence (CMA > 0) or absence (CMA = 0) of coronary18F-NaF uptake. Mean CMA was 3.12 ± 0.62 with coefficients of repeatability of ≤ 10% for all measures: intraobserver 0.24 and 0.22, interobserver 0.30 and 0.29 and interscan 0.33 and 0.32 at a per-vessel and per-patient level, respectively.ConclusionsCMA is a repeatable and reproducible global measure of coronary atherosclerotic activity.

وصف الملف: application/pdf

الوصول الحر: https://escholarship.org/uc/item/81g7n8rgTest

المؤلفون: Tzolos, Evangelos

المساهمون: Newby, David, Dweck, Marc

مصطلحات موضوعية: 616.1, 18F-sodium fluoride, microcalcification, Positron emission tomography, breathing tracing, calcification activity

الوصف: Background: Calcification is one of the body's primary responses to injury and a key pathological feature of cardiovascular disease. Calcification activity can now be imaged using 18F-sodium-fluoride positron emission tomography and computed tomography which targets microcalcification (diameter <50 μm), providing different information to established macroscopic calcification (minimum diameter 200 to 500 μm) imaged with computed tomography. Indeed 18F-sodium fluoride PET has now been explored in a wide range of conditions including coronary atherosclerosis, aortic stenosis and bioprosthetic valve disease, offering a marker of vascular injury and disease activity in each condition studied. At the moment, we lack reliable and reproducible methods for predicting myocardial infarction in patients with established coronary artery disease. Moreover, there remain major uncertainties regarding disease activity within the retained native aortic valve as well as bioprosthetic valve durability following transcatheter aortic valve implantation. In this thesis, I will address the following questions: 1) What is the optimal method for quantifying microcalcification activity and how reproducible is it? 2) Can we further refine it? 3) Can 18F-sodium fluoride PET/CT predict myocardial infarction in patients with advanced atherosclerosis? 4) Can machine learning improve the ability of 18F-sodium fluoride PET/CT to predict events? 5) Can 18F-sodium fluoride PET/CT predict native aortic valve disease progression and bioprosthetic valve degeneration in patients with transcatheter aortic valve implantation? Methods and Results: Study one: 18F-sodium fluoride reproducibility We aimed to establish the observer repeatability and interscan reproducibility of coronary 18F-sodium fluoride positron emission tomography (PET) uptake using a novel semi-automated approach, coronary microcalcification activity (CMA). Nineteen patients with established coronary artery disease were included for analysis. CMA was assessed twice in 43 coronary vessels on two PET/CT scans performed 12±5 days apart. We demonstrated that CMA is a repeatable and reproducible global measure of coronary atherosclerotic activity. There was excellent intraclass correlation for intraobserver and interobserver repeatability as well as interscan reproducibility (all ≥0.991). There was 100% intraobserver, interobserver and interscan agreement for the presence (CMA > 0) or absence (CMA=0) of coronary18F-sodium fluoride uptake. Mean CMA was 3.12± 0.62 with coefficients of repeatability of 0.24 and 0.22 for intraobserver, 0.30 and 0.29 for interobserver and 0.33 and 0.32 for interscan analysis at a per-vessel and per-patient level respectively. Study two: Refining 18F-sodium fluoride uptake We aimed to evaluate the impact of respiratory-averaged computed tomography attenuation correction (RACTAC) compared to standard single-phase computed tomography attenuation correction (CTAC) map, on the quantitative measures of coronary atherosclerotic lesions of 18F-sodium fluoride in PET/CT. Twenty-three patients with calcified plaques in the coronary arteries were included. We evaluated 34 coronary lesions using CTAC and RACTAC reconstructions. We demonstrated that respiratory-averaged and standard single-phase attenuation correction maps provide similar and reproducible methods of quantifying coronary 18F-sodium fluoride uptake on PET/CT. Assessments of the individual vessel microcalcification burden (CMA) revealed no major differences between PET images reconstructed using CTAC and RACTAC scans (median [IQR] CMA: CTAC = 0.10 [0-1.0], RACTAC = 0.15 [0-1.03], p=0.19). Bland-Altman plots of the CMA values revealed a high degree of agreement when comparing the per vessel burden, with coefficient of reproducibility of 0.17. Study three: Coronary 18F-sodium fluoride PET/CT In a multicentre study, we investigated whether coronary 18F-sodium fluoride PET uptake predicts future myocardial infarction in patients with established coronary artery disease, and whether it can provide additional prognostic information over and above current methods of risk stratification including clinical risk scores, coronary calcium scoring and the severity of obstructive coronary artery disease. We studied 293 participants (65±9 years; 84% male) with established coronary artery disease. Patients underwent 18F-sodium fluoride PET/CT and were followed-up for fatal or non-fatal myocardial infarction over 42 [31-49] months. Total coronary 18F-sodium fluoride uptake was determined using coronary microcalcification activity (CMA). Fatal or non-fatal myocardial infarction occurred only in patients with increased coronary 18F-sodium fluoride activity (20/203 CMA > 0 versus 0/90 CMA=0; p<0.001). On receiver operator-curve analysis, fatal or non-fatal myocardial infarction prediction was highest for 18F-sodium fluoride CMA, outperforming coronary calcium scoring, modified Duke coronary artery disease index, cardiac risk scores (areas under curve: 0.76 versus 0.54, 0.62, 0.52 and 0.54; p<0.001 for all). Patients with CMA > 1.56 had >7-fold increase in fatal or non-fatal myocardial infarction (hazard ratio 7.1, 95% confidence interval 2.2 to 25.1; p=0.003) independent of age, gender, risk factors, segment involvement and coronary calcium scores, presence of coronary stents, coronary stenosis, cardiac risk scores, the Duke coronary artery disease index and recent myocardial infarction. Study four: Artificial intelligence in 18F-sodium fluoride PET/CT We undertook a post-hoc analysis of the population of patients from study three. Coronary 18F-sodium fluoride PET/CT and CT angiography-based quantitative plaque analysis have shown promise in refining risk stratification in patients with coronary artery disease. We combined both novel imaging approaches to develop an optimal machine-learning model for the future risk of myocardial infarction in patients with stable coronary disease. We demonstrated that our machine learning approach has overcome the challenges posed by co-linearity of these variables and, for the first time, demonstrated that this information is complementary and additive with the combination of both providing the most robust outcome prediction. On univariable receiver-operator-curve analysis, only 18F-sodium fluoride coronary uptake emerged as a predictor of myocardial infarction (c- statistic 0.76, 95% confidence interval [CI] 0.68-0.83). When incorporated into machine-learning models, clinical characteristics showed limited predictive performance (c-statistic 0.64, 95% CI 0.53-0.76;) and were outperformed by a quantitative plaque analysis-based machine-learning model (c-statistic 0.72, 95% CI 0.60-0.84). After inclusion of all available data (clinical, quantitative plaque and 18F-sodium fluoride PET), we achieved a substantial improvement (p=0.008 versus 18F-sodium fluoride PET alone) in the model performance (c-statistic 0.85, 95% CI 0.79-0.91). Study five: 18F-sodium fluoride in transcatheter aortic valves We undertook a multicentre cross-sectional observational cohort study to determine whether the retained native aortic valves in patients undergoing transcatheter aortic valve implantation (TAVI) demonstrate evidence of ongoing disease progression. Additionally, since long-term durability of transcatheter aortic valves is yet to be established, we aimed to establish whether bioprosthetic valve durability or degeneration was appreciably different from patients with surgical aortic valve replacement (SAVR). Patients with TAVI or bioprosthetic SAVR underwent baseline echocardiography, CT angiography and 18F-sodium fluoride PET/CT. Subsequently patients underwent serial echocardiography to assess for changes in valve hemodynamic performance (change in peak aortic velocity) and evidence of structural valve dysfunction. Comparisons were made to matched patients with bioprosthetic SAVR who had undergone the same imaging protocol. We enrolled 47 patients (81±6 years old, 79% male) with TAVI from 3 high volume centres. We demonstrated that 18F-sodium fluoride uptake within the native aortic valve is higher with longer duration of implantation suggesting disease activity continues despite immobilisation of the valve leaflet.

الوصول الحر: https://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.867458Test

المؤلفون: Saifudin, Syafiqah Aqilah, Sulaiman, Siti Noraini, Osman, Muhammad Khusairi, Isa, Iza Sazanita, A Karim, Noor Khairiah, Harron, Nur Athiqah

المساهمون: Ministry of Higher Education

المصدر: Indonesian Journal of Electrical Engineering and Computer Science; Vol 34, No 1: April 2024; 197-209 ; 2502-4760 ; 2502-4752 ; 10.11591/ijeecs.v34.i1

مصطلحات موضوعية: Breast cancer, DBT enhancement, Digital breast tomosynthesis, Fuzzy weighted median filter, Microcalcification detection

الوصف: Breast cancer is a global leading cause of female mortality. Digital breast tomosynthesis (DBT) is pivotal for early breast cancer detection, with microcalcifications serving as crucial indicators. However, the movement of the DBT machine introduces blurry artefacts, potentially impacting accurate diagnosis. This study addresses this challenge by proposing an adaptive fuzzy weighted median filter (AFWMF) to enhance DBT images and aid microcalcification diagnosis. AFWMF automatically determines optimal parameters based on input images, outperforming conventional methods with a threshold range (C) from peak to end of switching. Quantitative assessment reveals peak signal to noise ratio (PSNR), and mean absolute error (MAE) values of 96.2267 and 0.0000636, respectively, demonstrating a significant improvement in microcalcification detection. This study contributes an effective and adaptive enhancement technique for DBT images, promising better breast cancer diagnosis, particularly in microcalcification scenarios.

وصف الملف: application/pdf

العلاقة: https://ijeecs.iaescore.com/index.php/IJEECS/article/view/35654/18118Test; https://ijeecs.iaescore.com/index.php/IJEECS/article/view/35654Test

الإتاحة: https://doi.org/10.11591/ijeecs.v34.i1.pp197-209Test
https://doi.org/10.11591/ijeecs.v34.i1Test
https://ijeecs.iaescore.com/index.php/IJEECS/article/view/35654Test