scholarly journals SOFIA: A Novel Automated Breast Ultrasound System Used on Patients in the Prone Position: A Pilot Study on Lesion Detection in Comparison to Handheld Grayscale Ultrasound

2018 ◽  
Vol 78 (05) ◽  
pp. 499-505 ◽  
Author(s):  
André Farrokh ◽  
Harika Erdönmez ◽  
Fritz Schäfer ◽  
Nicolai Maass
Keyword(s):  
Prone Position ◽  
Recall Rate ◽  
Breast Ultrasound ◽  
Lesion Detection ◽  
The Novel ◽  
Scanning Time ◽  
High Recall Rate ◽  
Study Population ◽  
Sensitivity Specificity ◽  
Automated Breast Ultrasound

Abstract Introduction Most of the currently available automated breast ultrasound systems require patients to be in the supine position. Previous data, however, show a high recall rate with this method due to artifacts. The novel automated breast ultrasound scanner SOFIA scans the breast with the patient in a prone position, resulting in even compression of breast tissue. We present our initial results with this examination method. Material and Methods 63 patients were analyzed using a handheld B-mode ultrasound. In cases of BI-RADS 1, 2 or 5, a SOFIA scan was performed. Sensitivity, specificity and accuracy were calculated. Interobserver agreement was evaluated using Cohenʼs kappa. The duration of the scan was measured for both methods. Results No BI-RADS 5 lesion was missed with SOFIA. The SOFIA had an additional recall rate of 16.67% compared to B-mode ultrasound. The sensitivity, specificity and accuracy of SOFIA was 100, 83.33 and 88.89%, respectively. Cohenʼs kappa showed substantial agreement (κ = 0.769) between examiner 1 (B-mode) and examiner 2 (SOFIA). The mean scan duration for the B-mode system and the SOFIA system was 24.21 minutes and 12.94 minutes, respectively. In four cases, D-cup breasts were not scanned in their entirety. Conclusion No cancer was missed when SOFIA was used in this preselected study population. The scanning time was approximately half of that required for B-mode ultrasound. The additional unnecessary recall rate was 16.67%. Larger D cup-size breasts were difficult to position and resulted in an incomplete image in four cases.

Comparison of handheld ultrasound and automated breast ultrasound in women recalled after mammography screening

2016 ◽  
Vol 58 (5) ◽  
pp. 515-520 ◽  
Author(s):  
Roxanna Hellgren ◽  
Paul Dickman ◽  
Karin Leifland ◽  
Ariel Saracco ◽  
Per Hall ◽  
...  
Keyword(s):  
Breast Cancer ◽  
Mammography Screening ◽  
Breast Ultrasound ◽  
Breast Volume ◽  
Large Area ◽  
Mammographic Finding ◽  
Automated Breast Volume Scanner ◽  
Handheld Ultrasound ◽  
Study Population ◽  
Automated Breast Ultrasound

Background Automated breast volume scanner (ABVS) is an ultrasound (US) device with a wide scanner that sweeps over a large area of the breast and the acquired transverse images are sent to a workstation for reconstruction and review. Whether ABVS is as reliable as handheld US is, however, still not established. Purpose To compare the sensitivity and specificity of ABVS to handheld breast US for detection of breast cancer, in the situation of recall after mammography screening. Material and Methods A total of 113 women, five with bilateral suspicious findings, undergoing handheld breast US due to a suspicious mammographic finding in screening, underwent additional ABVS. The methods were assessed for each breast and each detected lesion separately and classified into two categories: breasts with mammographic suspicion of malignancy and breasts with a negative mammogram. Results Twenty-six cancers were found in 25 women. In the category of breasts with a suspicious mammographic finding (n = 118), the sensitivity of both handheld US and ABVS was 88% (22/25). The specificity of handheld US was 93.5% (87/93) and ABVS was 89.2% (83/93). In the category of breasts with a negative mammography (n = 103), the sensitivity of handheld US and ABVS was 100% (1/1). The specificity of handheld US was 100% (102/102) and ABVS was 94.1% (96/102). Conclusion ABVS can potentially replace handheld US in the investigation of women recalled from mammography screening due to a suspicious finding. Due to the small size of our study population, further investigation with larger study populations is necessary before the implementation of such practice.

scholarly journals A Prospective Study of Automated Breast Ultrasound Screening of Women with Dense Breasts in a Digital Breast Tomosynthesis-based Practice

2020 ◽  
Vol 2 (2) ◽  
pp. 125-133 ◽  
Author(s):  
Denise M Chough ◽  
Wendie A Berg ◽  
Andriy I Bandos ◽  
Grace Y Rathfon ◽  
Christiane M Hakim ◽  
...  
Keyword(s):  
Digital Breast Tomosynthesis ◽  
Recall Rate ◽  
Breast Ultrasound ◽  
Ultrasound Screening ◽  
Breast Tomosynthesis ◽  
Double Reading ◽  
Significance Level ◽  
Dense Breast Tissue ◽  
Dense Breasts ◽  
Automated Breast Ultrasound

Abstract Objective To assess prospectively the interpretative performance of automated breast ultrasound (ABUS) as a supplemental screening after digital breast tomosynthesis (DBT) or as a standalone screening of women with dense breast tissue. Methods Under an IRB-approved protocol (written consent required), women with dense breasts prospectively underwent concurrent baseline DBT and ABUS screening. Examinations were independently evaluated, in opposite order, by two of seven Mammography Quality Standards Act–qualified radiologists, with the primary radiologist arbitrating disagreements and making clinical management recommendations. We report results for 1111 screening examinations (598 first year and 513 second year) for which all diagnostic workups are complete. Imaging was also retrospectively reviewed for all cancers. Statistical assessments used a 0.05 significance level and accounted for correlation between participants’ examinations. Results Of 1111 women screened, primary radiologists initially “recalled” based on DBT alone (6.6%, 73/1111, CI: 5.2%–8.2%), of which 20 were biopsied, yielding 6/8 total cancers. Automated breast ultrasound increased recalls overall to 14.4% (160/1111, CI: 12.4%–16.6%), with 27 total biopsies, yielding 1 additional cancer. Double reading of DBT alone increased the recall rate to 10.7% (119/1111), with 21 biopsies, with no improvement in cancer detection. Double reading ABUS increased the recall rate to 15.2% (169/1111, CI: 13.2%–17.5%) of women, of whom 22 were biopsied, yielding the detection of 7 cancers, including one seen only on double reading ABUS. Inter-radiologist agreement was similar for recall recommendations from DBT (κ = 0.24, CI: 0.14–0.34) and ABUS (κ = 0.23, CI: 0.15–0.32). Integrated assessments from both readers resulted in a recall rate of 15.1% (168/1111, CI: 13.1%–17.4%). Conclusion Supplemental or standalone ABUS screening detected cancers not seen on DBT, but substantially increased noncancer recall rates.

scholarly journals Automated breast ultrasound (ABUS) as a screening tool: initial experience

2019 ◽  
Vol 50 (1) ◽  
Author(s):  
Amera Abd Elsalam Mostafa ◽  
Mohamed Adel Eltomey ◽  
Ashraf Mohammed Elaggan ◽  
Amel A. Hashish
Keyword(s):  
Breast Cancer ◽  
Screening Tool ◽  
Breast Ultrasound ◽  
Lesion Detection ◽  
Screening Methods ◽  
Initial Experience ◽  
Major Health Problem ◽  
Dense Breasts ◽  
Significant Difference ◽  
Automated Breast Ultrasound

Abstract Background Breast cancer is a major health problem, being the most common cancer in women. Early detection of breast cancer aims to the reduction of mortality and morbidity rates. Conventional screening methods include mammography and ultrasonography; however, both modalities have their limitations. Automated breast ultrasound (ABUS) is a recent technological advancement in the field of breast imaging having the benefit of standardization of the scans and lack of operator dependence as in conventional handheld ultrasound scans. The aim of this work was to report our initial experience of the added value of ABUS as a breast screening tool. The study included 200 patients who had screening mammograms, ultrasound, and ABUS. Results A significant difference was found between the number of lesions detected by ABUS and conventional ultrasound. A significant difference was found between lesions detected by ABUS and mammography which was most evident in patients with dense breasts. Conclusions ABUS is a valuable tool in the screening of the breast with improved lesion detection, especially in patients with dense breasts.

scholarly journals Do automated breast ultrasound and tomosynthesis have an effective role in dense breast evaluation?

2021 ◽  
Vol 52 (1) ◽  
Author(s):  
Engy A. Ali ◽  
Fatma Saeed ◽  
Lamiaa Adel
Keyword(s):  
Breast Cancer ◽  
Digital Mammography ◽  
Predictive Value ◽  
Breast Imaging ◽  
Breast Cancer Mortality ◽  
Breast Ultrasound ◽  
Dense Breast ◽  
Effective Role ◽  
Sensitivity Specificity ◽  
Automated Breast Ultrasound

Abstract Background Mammography plays a great role in reducing breast cancer mortality as it is the standard method of breast imaging and screening. But the accuracy of mammography performance reduces in cancer detection in women with dense breast due to the summation of images and overlapping of breast tissue. ABUS and tomosynthesis both recently help to detect breast cancer in dense breasted women. This prospective study was done in the female imaging unit and approved by its research and ethical committee; all the patients did an informed consent during the period from October 2018 to March 2019. The study was conducted on 38 patients with 38 lesions subjected to digital mammography, tomosynthesis and automated breast ultrasound (ABUS), who all had dense breast in mammography. Results Automated breast ultrasound (ABUS) showed 100% in all sensitivity, specificity, negative predictive value (NPV), positive predictive value (PPV) as well as accuracy, while the digital mammography tomosynthesis showed 100% in specificity, 87.5% in sensitivity, 100% in PPV, 82.4% in NPV and 92.1% accuracy. Conclusion Automated breast ultrasound (ABUS) together with tomosynthesis makes a revolution in breast screening and detecting cancer in women with dense breasts.

Spatial Attention Lesion Detection on Automated Breast Ultrasound

2019 ◽  
pp. 216-227
Author(s):  
Feiqian Wang ◽  
Xiaotong Liu ◽  
Buyue Qian ◽  
Litao Ruan ◽  
Rongjian Zhao ◽  
...  
Keyword(s):  
Spatial Attention ◽  
Breast Ultrasound ◽  
Lesion Detection ◽  
Automated Breast Ultrasound

Direct Read and Quantify Damage Nucleotide from an Oligonucleotide Using a Single Molecule Interface

2019 ◽  
Author(s):  
Jiajun Wang ◽  
Meng-Yin Li ◽  
Jie Yang ◽  
Ya-Qian Wang ◽  
Xue-Yuan Wu ◽  
...  
Keyword(s):  
Dna Sequencing ◽  
Single Molecule ◽  
Genetic Diseases ◽  
High Sensitivity ◽  
Dna Lesions ◽  
Lesion Detection ◽  
The Novel ◽  
Structural Variations ◽  
Dna Lesion ◽  
Base Lesion

DNA lesion such as metholcytosine(<sup>m</sup>C), 8-OXO-guanine(<sup>O</sup>G), inosine(I) <i>etc</i> could cause the genetic diseases. Identification of the varieties of lesion bases are usually beyond the capability of conventional DNA sequencing which is mainly designed to discriminate four bases only. Therefore, lesion detection remain challenge due to the massive varieties and less distinguishable readouts for minor structural variations. Moreover, standard amplification and labelling hardly works in DNA lesions detection. Herein, we designed a single molecule interface from the mutant K238Q Aerolysin, whose confined sensing region shows the high compatible to capture and then directly convert each base lesion into distinguishable current readouts. Compared with previous single molecule sensing interface, the resolution of the K238Q Aerolysin nanopore is enhanced by 2-order. The novel K238Q could direct discriminate at least 3 types (<sup>m</sup>C, <sup>O</sup>G, I) lesions without lableing and quantify modification sites under mixed hetero-composition condition of oligonucleotide. Such nanopore could be further applied to diagnose genetic diseases at high sensitivity.

scholarly journals Automated Breast Ultrasound: Technical Aspects, Impact on Breast Screening, and Future Perspectives

2021 ◽  
Author(s):  
Iris Allajbeu ◽  
Sarah E Hickman ◽  
Nicholas Payne ◽  
Penelope Moyle ◽  
Kathryn Taylor ◽  
...  
Keyword(s):  
Cancer Detection ◽  
Breast Screening ◽  
Screening Tool ◽  
Imaging Technique ◽  
Breast Ultrasound ◽  
Computer Aided Detection ◽  
Future Perspectives ◽  
Technical Aspects ◽  
Dense Breasts ◽  
Automated Breast Ultrasound

Abstract Purpose of Review Automated breast ultrasound (ABUS) is a three-dimensional imaging technique, used as a supplemental screening tool in women with dense breasts. This review considers the technical aspects, pitfalls, and the use of ABUS in screening and clinical practice, together with new developments and future perspectives. Recent Findings ABUS has been approved in the USA and Europe as a screening tool for asymptomatic women with dense breasts in addition to mammography. Supplemental US screening has high sensitivity for cancer detection, especially early-stage invasive cancers, and reduces the frequency of interval cancers. ABUS has similar diagnostic performance to handheld ultrasound (HHUS) and is designed to overcome the drawbacks of operator dependence and poor reproducibility. Concerns with ABUS, like HHUS, include relatively high recall rates and lengthy reading time when compared to mammography. ABUS is a new technique with unique features; therefore, adequate training is required to improve detection and reduce false positives. Computer-aided detection may reduce reading times and improve cancer detection. Other potential applications of ABUS include local staging, treatment response evaluation, breast density assessment, and integration of radiomics. Summary ABUS provides an efficient, reproducible, and comprehensive supplemental imaging technique in breast screening. Developments with computer-aided detection may improve the sensitivity and specificity as well as radiologist confidence and reduce reading times, making this modality acceptable in large volume screening centers.

scholarly journals 3124 Early Electrographic Seizure Detection by Neuro ICU Nurses via Bedside Real-Time Quantitative EEG

2019 ◽  
Vol 3 (s1) ◽  
pp. 38-38
Author(s):  
Safa Kaleem ◽  
Christa B. Swisher
Keyword(s):  
Positive Predictive Value ◽  
Real Time ◽  
Predictive Value ◽  
Quantitative Eeg ◽  
University Hospital ◽  
Duke University ◽  
Study Population ◽  
Time To Detection ◽  
Sensitivity Specificity ◽  
Improve Patient

OBJECTIVES/SPECIFIC AIMS: 1. Determine positive predictive value, negative predictive value, sensitivity, and specificity of Neuro ICU nurse interpretation of real-time bedside qEEG. 2. Determine difference in time to detection of first seizure between Neuro ICU nurse qEEG interpretation and EEG fellow reads of cEEG. 3. Determine what qualities of seizures make detection by neuro ICU nurses more or less likely – e.g. duration of seizures, type of seizures, spatial extent of seizures. METHODS/STUDY POPULATION: Recruit neuro ICU nurses taking care of 150 patients admitted to the Neuro ICU at Duke University Hospital who are initiated on cEEG monitoring. Nurses will be consented for their participation in the study. Neuro ICU nurses will evaluate the qEE RESULTS/ANTICIPATED RESULTS: From literature estimates of a 20% seizure prevalence in critical care settings, we hope to have 30 patients with seizures and 120 without. Based on prior study in the Duke Neuro ICU, we hypothesize that Neuro ICU nurses will have sensitivity and DISCUSSION/SIGNIFICANCE OF IMPACT: This is the first prospective study of neuro ICU nurse interpretation of real-time bedside qEEG in patients with unknown NCSE/NCS presence. If nurse sensitivity, specificity, and positive predictive value are clinically useful, which we deem would be so at a sensitivity of 70% or greater, with acceptable false alarm rate, nurse readings of qEEG could significantly decrease the time to treatment of seizures in the Neuro ICU patient population, and perhaps could improve patient outcomes.

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