keyword
https://read.qxmd.com/read/37173336/vindr-mammo-a-large-scale-benchmark-dataset-for-computer-aided-diagnosis-in-full-field-digital-mammography
#21
JOURNAL ARTICLE
Hieu T Nguyen, Ha Q Nguyen, Hieu H Pham, Khanh Lam, Linh T Le, Minh Dao, Van Vu
Mammography, or breast X-ray imaging, is the most widely used imaging modality to detect cancer and other breast diseases. Recent studies have shown that deep learning-based computer-assisted detection and diagnosis (CADe/x) tools have been developed to support physicians and improve the accuracy of interpreting mammography. A number of large-scale mammography datasets from different populations with various associated annotations and clinical data have been introduced to study the potential of learning-based methods in the field of breast radiology...
May 12, 2023: Scientific Data
https://read.qxmd.com/read/37127220/international-interobserver-variability-of-breast-density-assessment
#22
JOURNAL ARTICLE
Leah H Portnow, Lina Choridah, Kardinah Kardinah, Triwulan Handarini, Ruud Pijnappel, Adriana M J Bluekens, Lucien E M Duijm, Peter K Schoub, Pamela S Smilg, Liat Malek, Jessica W T Leung, Sughra Raza
PURPOSE: The aim of this study was to determine variability in visually assessed mammographic breast density categorization among radiologists practicing in Indonesia, the Netherlands, South Africa, and the United States. METHODS: Two hundred consecutive 2-D full-field digital screening mammograms obtained from September to December 2017 were selected and retrospectively reviewed from four global locations, for a total of 800 mammograms. Three breast radiologists in each location (team) provided consensus density assessments of all 800 mammograms using BI-RADS® density categorization...
April 29, 2023: Journal of the American College of Radiology: JACR
https://read.qxmd.com/read/37095048/the-clinical-application-of-artificial-intelligence-assisted-contrast-enhanced-ultrasound-on-bi-rads-category-4-breast-lesions
#23
JOURNAL ARTICLE
Yuqun Wang, Zhou Xu, Lei Tang, Qi Zhang, Man Chen
RATIONALE AND OBJECTIVES: To propose a novel deep learning method incorporating multiple regions based on contrast-enhanced ultrasound and grayscale ultrasound, evaluate its performance in reducing false positives for Breast Imaging Reporting and Data System (BI-RADS) category 4 lesions, and compare its diagnostic performance with that of ultrasound experts. MATERIALS AND METHODS: This study enrolled 163 breast lesions in 161 women from November 2018 to March 2021...
April 22, 2023: Academic Radiology
https://read.qxmd.com/read/37053345/heterogeneous-breast-phantom-for-computed-tomography-and-magnetic-resonance-imaging
#24
JOURNAL ARTICLE
Gameel Saleh, Ashraf Abuelhaija, Budour Alfaris, Aljohara Aljabr, Maryam Zainalabedin, M H A Mhareb, Maryam Alhashim, Salma Alenezi
In this article, a heterogeneous multimodal anthropomorphic breast phantom with carcinoma is introduced to meet the response of the natural breast tissue when imaged using ionizing and non-ionizing machines. The skin, adipose, fibroglandular, pectoral muscle, and carcinoma tissue were mimicked. A T1-weighted breast magnetic resonance image with BI-RADS I tissue segmentation was used for molds creation. The tissue-mimicking materials (TMMs) were tailored in terms of their elemental composition weight fractions and their response to ionization radiation parameters...
2023: PloS One
https://read.qxmd.com/read/36994925/outcomes-of-high-risk-breast-lesions-diagnosed-using-image-guided-core-needle-biopsy-results-from-a-multicenter-retrospective-study
#25
JOURNAL ARTICLE
Ayşenur Oktay, Özge Aslan, Füsun Taşkın, Nermin Tunçbilek, Selma Gül Esen İçten, Pınar Balcı, Mustafa Erkin Arıbal, Levent Çelik, İhsan Şebnem Örgüç, Figen Başaran Demirkazık, Serap Gültekin, Ayşe Murat Aydın, Emel Durmaz, Sibel Kul, Figen Binokay, Meltem Çetin, Ganime Dilek Emlik, Meltem Gülsün Akpınar, Sadiye Nuray Kadıoğlu Voyvoda, Ahmet Veysel Polat, Işıl Başara Akın, Şeyma Yıldız, Necdet Poyraz, Arzu Özsoy, Pelin Seher Öztekin, Eda Elverici, İlkay Koray Bayrak, Türkan İkizceli, Funda Dinç, Gülten Sezgin, Gökçe Gülşen, Işıl Tunçbilek, Sabiha Rabia Yalçın, Gül Çolakoğlu, Serpil Ağlamış, Ravza Yılmaz, Günay Rona, Gamze Durhan, Davut Can Güner, Fatma Çelik Yabul, Leman Günbey Karabekmez, Burçin Tutar, Muhammet Göktaş, Onur Buğdaycı, Aslı Suner, Necmettin Özdemirhttps/Orcid Org/
PURPOSE: The clinical management of high-risk lesions using image-guided biopsy is challenging. This study aimed to evaluate the rates at which such lesions were upgraded to malignancy and identify possible predictive factors for upgrading high-risk lesions. METHODS: This retrospective multicenter analysis included 1.343 patients diagnosed with high-risk lesions using an image-guided core needle or vacuum-assisted biopsy (VAB). Only patients managed using an excisional biopsy or with at least one year of documented radiological follow-up were included...
January 9, 2023: Diagnostic and Interventional Radiology: Official Journal of the Turkish Society of Radiology
https://read.qxmd.com/read/36980373/diagnostic-performance-of-prototype-handheld-ultrasound-according-to-the-fifth-edition-of-bi-rads-for-breast-ultrasound-compared-with-automated-breast-ultrasound-among-females-with-positive-lumps
#26
JOURNAL ARTICLE
Shahad A Ibraheem, Rozi Mahmud, Suraini Mohamad Saini, Hasyma Abu Hassan, Aysar Sabah Keiteb
(1) Objective: To evaluate the diagnostic performance of prototype handheld ultrasound compared to automated breast ultrasound, according to the fifth edition of BI-RADS categorization, among females with positive lumps. (2) Methods: A total of 1004 lesions in 162 participants who underwent both prototype handheld ultrasound and automated breast ultrasound were included. Two radiologists and a sonographer independently evaluated the sonographic features of each lesion according to the fifth BI-RADS edition...
March 11, 2023: Diagnostics
https://read.qxmd.com/read/36890701/utility-of-ultrasound-angio-plus-imaging-for-detecting-blood-flow-in-breast-masses-and-comparison-with-color-doppler-for-differentiating-benign-from-malignant-masses
#27
JOURNAL ARTICLE
Namita Mohindra, Neeraj Jain, Shubham Yadav, Vinita Agrawal, Prabhakar Mishra, Anjali Mishra, Gaurav Agarwal
BACKGROUND: Tumor neo-angiogenesis plays an important role in the development and growth of breast cancers, but its detection by imaging is challenging. A novel microvascular imaging (MVI) technique, Angio-PLUS, promises to overcome the limitations of color Doppler (CD) in detecting low-velocity flow and small diameter vessels. PURPOSE: To determine the utility of the Angio-PLUS technique for detecting blood flow in breast masses and compare it with CD for differentiating benign from malignant masses...
March 8, 2023: Acta Radiologica
https://read.qxmd.com/read/36847430/to-determine-correlation-between-virads-scoring-and-pathological-staging-in-bladder-cancer-a-prospective-study-and-review-of-literature
#28
REVIEW
Prateek Gupta, Shakti Swarup Sarangi, Mahendra Singh, Himanshu Pandey, Gautam Ram Choudhary, Vijay Kumar Sarma Madduri, Deepak Prakash Bhirud, Arjun Singh Sandhu, Rahul Jena
The development of standardized reporting systems is of paramount importance in medical-imaging. Based on the "RADS" methodology, PIRADS and BI-RADS have been successfully used. The management of bladder cancer (BC) depends on the stage at the time of identification. Accurate assessment of the muscle-invasive stage can alter therapies that are radically different. MRI can accurately diagnose this in a standardized manner (Vesical Imaging-Reporting and Data System: VIRADS) and spare additional procedures. The aim of the study is to determine diagnostic accuracy of VIRADS scoring in evaluation of muscle invasiveness in patients with BC...
August 2023: Urologia
https://read.qxmd.com/read/36832299/ai-can-it-make-a-difference-to-the-predictive-value-of-ultrasound-breast-biopsy
#29
JOURNAL ARTICLE
Jean L Browne, Maria Ángela Pascual, Jorge Perez, Sulimar Salazar, Beatriz Valero, Ignacio Rodriguez, Darío Cassina, Juan Luis Alcázar, Stefano Guerriero, Betlem Graupera
(1) Background: This study aims to compare the ground truth (pathology results) against the BI-RADS classification of images acquired while performing breast ultrasound diagnostic examinations that led to a biopsy and against the result of processing the same images through the AI algorithm KOIOS DS TM (KOIOS). (2) Methods: All results of biopsies performed with ultrasound guidance during 2019 were recovered from the pathology department. Readers selected the image which better represented the BI-RADS classification, confirmed correlation to the biopsied image, and submitted it to the KOIOS AI software...
February 20, 2023: Diagnostics
https://read.qxmd.com/read/36817002/multi-spectroscopic-and-molecular-simulation-studies-of-propyl-acridone-binding-to-calf-thymus-dna-in-the-presence-of-electromagnetic-force
#30
JOURNAL ARTICLE
Atena Sharifi-Rad, Zeinab Amiri-Tehranizadeh, Atiye Talebi, Niknaz Nosrati, Morvarid Medalian, Mahtab Pejhan, Nazanin Hamzkanloo, Mohammad Reza Saberi, Parisa Mokaberi, Jamshidkhan Chamani
Introduction: Here, the interaction behavior between propyl acridones (PA) and calf thymus DNA (ct-DNA) has been investigated to attain the features of the binding behavior of PA with ct-DNA, which includes specific binding sites, modes, and constants. Furthermore, the effects of PA on the conformation of ct-DNA seem to be quite significant for comprehending the medicine's mechanism of action and pharmacokinetics. Methods: The project was accomplished through means of absorbance studies, fluorescence spectroscopy, circular dichroism, viscosity measurement, thermal melting, and molecular modeling techniques...
2023: BioImpacts: BI
https://read.qxmd.com/read/36816972/combination-of-ultrafast-dynamic-contrast-enhanced-mri-based-radiomics-and-artificial-neural-network-in-assessing-bi-rads-4-breast-lesions-potential-to-avoid-unnecessary-biopsies
#31
JOURNAL ARTICLE
Yidong Lyu, Yan Chen, Lingsong Meng, Jinxia Guo, Xiangyu Zhan, Zhuo Chen, Wenjun Yan, Yuyan Zhang, Xin Zhao, Yanwu Zhang
OBJECTIVES: To investigate whether combining radiomics extracted from ultrafast dynamic contrast-enhanced MRI (DCE-MRI) with an artificial neural network enables differentiation of MR BI-RADS 4 breast lesions and thereby avoids false-positive biopsies. METHODS: This retrospective study consecutively included patients with MR BI-RADS 4 lesions. The ultrafast imaging was performed using Differential sub-sampling with cartesian ordering (DISCO) technique and the tenth and fifteenth postcontrast DISCO images (DISCO-10 and DISCO-15) were selected for further analysis...
2023: Frontiers in Oncology
https://read.qxmd.com/read/36789976/potential-of-lesion-to-fat-elasticity-ratio-measured-by-shear-wave-elastography-to-reduce-benign-biopsies-in-bi-rads-4-breast-lesions
#32
JOURNAL ARTICLE
Riku Togawa, André Pfob, Christopher Büsch, Zaher Alwafai, Corinne Balleyguier, Dirk-André Clevert, Volker Duda, Sarah Fastner, Manuela Goncalo, Christina Gomez, Ines Gruber, Markus Hahn, André Hennigs, Panagiotis Kapetas, Juliane Nees, Ralf Ohlinger, Fabian Riedel, Matthieu Rutten, Benedikt Schäfgen, Anne Stieber, Mitsuhiro Tozaki, Sebastian Wojcinski, Geraldine Rauch, Jörg Heil, Richard Barr, Michael Golatta
OBJECTIVES: We evaluated whether lesion-to-fat ratio measured by shear wave elastography in patients with Breast Imaging Reporting and Data System (BI-RADS) 3 or 4 lesions has the potential to further refine the assessment of B-mode ultrasound alone in breast cancer diagnostics. METHODS: This was a secondary analysis of an international diagnostic multicenter trial (NCT02638935). Data from 1288 women with breast lesions categorized as BI-RADS 3 and 4a-c by conventional B-mode ultrasound were analyzed, whereby the focus was placed on differentiating lesions categorized as BI-RADS 3 and BI-RADS 4a...
February 15, 2023: Journal of Ultrasound in Medicine: Official Journal of the American Institute of Ultrasound in Medicine
https://read.qxmd.com/read/36670236/fully-automatic-classification-of-breast-lesions-on-multi-parameter-mri-using-a-radiomics-model-with-minimal-number-of-stable-interpretable-features
#33
JOURNAL ARTICLE
Jing Zhang, Chenao Zhan, Chenxiu Zhang, Yang Song, Xu Yan, Yihao Guo, Tao Ai, Guang Yang
PURPOSE: To build an automatic computer-aided diagnosis (CAD) pipeline based on multiparametric magnetic resonance imaging (mpMRI) and explore the role of different imaging features in the classification of breast cancer. MATERIALS AND METHODS: A total of 222 histopathology-confirmed breast lesions, together with their BI-RADS scores, were included in the analysis. The cohort was randomly split into training (159) and test (63) cohorts, and another 50 lesions were collected as an external cohort...
January 20, 2023: La Radiologia Medica
https://read.qxmd.com/read/36582788/diagnosis-of-architectural-distortion-on-digital-breast-tomosynthesis-using-radiomics-and-deep-learning
#34
JOURNAL ARTICLE
Xiao Chen, Yang Zhang, Jiahuan Zhou, Xiao Wang, Xinmiao Liu, Ke Nie, Xiaomin Lin, Wenwen He, Min-Ying Su, Guoquan Cao, Meihao Wang
PURPOSE: To implement two Artificial Intelligence (AI) methods, radiomics and deep learning, to build diagnostic models for patients presenting with architectural distortion on Digital Breast Tomosynthesis (DBT) images. MATERIALS AND METHODS: A total of 298 patients were identified from a retrospective review, and all of them had confirmed pathological diagnoses, 175 malignant and 123 benign. The BI-RADS scores of DBT were obtained from the radiology reports, classified into 2, 3, 4A, 4B, 4C, and 5...
2022: Frontiers in Oncology
https://read.qxmd.com/read/36553906/using-deep-neural-network-approach-for-multiple-class-assessment-of-digital-mammography
#35
JOURNAL ARTICLE
Shih-Yen Hsu, Chi-Yuan Wang, Yi-Kai Kao, Kuo-Ying Liu, Ming-Chia Lin, Li-Ren Yeh, Yi-Ming Wang, Chih-I Chen, Feng-Chen Kao
According to the Health Promotion Administration in the Ministry of Health and Welfare statistics in Taiwan, over ten thousand women have breast cancer every year. Mammography is widely used to detect breast cancer. However, it is limited by the operator's technique, the cooperation of the subjects, and the subjective interpretation by the physician. It results in inconsistent identification. Therefore, this study explores the use of a deep neural network algorithm for the classification of mammography images...
November 27, 2022: Healthcare (Basel, Switzerland)
https://read.qxmd.com/read/36412438/comparison-of-p63-immunohistochemistry-and-shear-wave-elastography-in-the-diagnosis-of-indeterminate-breast-lesions-a-prospective-study
#36
JOURNAL ARTICLE
Ranjith Kumar Sridhar, R Chandru, V Pavithra, D Rajiv Raj, Bhawna Dev, Sandhya Sundaram, R Ramya
PURPOSE: To evaluate the accuracy of breast shear wave elastography (SWE) and p63 immunohistochemistry (IHC) in the diagnosis of indeterminate breast lesions. METHODS: Based on detailed clinical examination and a combination of X-ray mammography/B-mode ultrasound with SWE, a total of 40 patients with breast lumps (BI-RADS 4) were included. Patients with previous diagnosis of breast cancer and a previous history of surgery, chemotherapy, or radiotherapy in the same breast as the present lesion were excluded...
2022: Journal of Cancer Research and Therapeutics
https://read.qxmd.com/read/36399871/relationship-between-breast-arterial-calcification-and-coronary-artery-disease-by-invasive-coronary-angiography-in-postmenopausal-women
#37
JOURNAL ARTICLE
Gildo Gardinalli-Filho, Jose Victor Dantas, Georgia Petri Nahas, Daniel Araujo Brito Buttros, Fabio Cardoso Carvalho, Eduardo Carvalho-Pessoa, Heloisa De Luca Vespoli, Eliana Aguiar Petri Nahas
PURPOSE: To evaluate the relationship between the presence of BAC and coronary artery disease (CAD) by invasive coronary angiography (ICA) in postmenopausal women. METHODS: In this cross-sectional study, postmenopausal women (age ≥ 45 years) with history of CAD, who underwent both ICA and digitized mammography, within six months of each other, were enrolled. Women who underwent prior percutaneous coronary intervention, or exhibited grade D breast density (BI-RADS®) or breast cancer upon mammography were excluded...
November 13, 2022: European Journal of Radiology
https://read.qxmd.com/read/36273501/prioritizing-screening-mammograms-for-immediate-interpretation-and-diagnostic-evaluation-based-on-risk-of-recall
#38
JOURNAL ARTICLE
Thao-Quyen H Ho, Michael C S Bissell, Christoph I Lee, Janie M Lee, Brian L Sprague, Anna N A Tosteson, Karen J Wernli, Louise M Henderson, Karla Kerlikowske, Diana L Miglioretti
OBJECTIVES: Develop prioritization strategy for scheduling immediate screening mammogram interpretation and possible diagnostic evaluation. METHODS: Population-based cohort with screening mammograms performed 2012-2020 at 126 radiology facilities from 7 Breast Cancer Surveillance Consortium registries. Classification trees identified combinations of clinical history (age, BI-RADS density, time since prior mammogram, history of false-positive recall or biopsy), screening modality (digital mammography, digital breast tomosynthesis), and facility characteristics (profit status, location, screening volume, practice type, academic affiliation) that grouped screening mammograms by recall rate, with ≥12/100 considered high and ≥16/100 very high...
October 20, 2022: Journal of the American College of Radiology: JACR
https://read.qxmd.com/read/36238918/clinical-utility-of-micropure-us-imaging-for-breast-microcalcifications
#39
JOURNAL ARTICLE
Heerin Lee, Sung Hun Kim, Bong Joo Kang, Jeong Min Lee
Purpose: To evaluate the performance of MicroPure US imaging to detect and characterize microcalcifications. Materials and Methods: A total of 171 lesions with suspicious microcalcifications seen on mammography and B-mode US were included and simultaneously evaluated using MicroPure US imaging. The size of microcalcifications was divided into small (punctate, amorphous, fine pleomorphic, and fine linear) and large (coarse heterogeneous), and the extent was divided into narrow (grouped) and wide (others)...
July 2022: J Korean Soc Radiol
https://read.qxmd.com/read/36175878/safely-reducing-unnecessary-benign-breast-biopsies-by-applying-non-mass-and-dwi-directional-variance-filters-to-adc-thresholding
#40
JOURNAL ARTICLE
Alan Penn, Milica Medved, Hiroyuki Abe, Vandana Dialani, Gregory S Karczmar, David Brousseau
BACKGROUND: Thresholding apparent diffusion coefficient (ADC) maps obtained from Diffusion-Weighted-Imaging (DWI) has been proposed for identifying benign lesions that can safely avoid biopsy. The presence of malignancies with high ADC values leads to high thresholds, limiting numbers of avoidable biopsies. PURPOSE: We evaluate two previously reported methods for identifying avoidable biopsies: using case-set dependent ADC thresholds that assure 100% sensitivity and using negative likelihood ratio (LR-) with a fixed ADC threshold of 1...
September 29, 2022: BMC Medical Imaging
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