Articles on breast ultrasound.
Ontology highlight
ABSTRACT:
SUBMITTER: Busilacchi P
PROVIDER: S-EPMC3558231 | biostudies-literature | 2011 Sep
REPOSITORIES: biostudies-literature
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Project description:Artificial intelligence (AI) transforms medical images into high-throughput mineable data. Machine learning algorithms, which can be designed for modeling for lesion detection, target segmentation, disease diagnosis, and prognosis prediction, have markedly promoted precision medicine for clinical decision support. There has been a dramatic increase in the number of articles, including articles on ultrasound with AI, published in only a few years. Given the unique properties of ultrasound that differentiate it from other imaging modalities, including real-time scanning, operator-dependence, and multi-modality, readers should pay additional attention to assessing studies that rely on ultrasound AI. This review offers the readers a targeted guide covering critical points that can be used to identify strong and underpowered ultrasound AI studies.
| S-EPMC8222674 | biostudies-literature
Project description:BackgroundDiagnostic ultrasound has long been a part of a physician's armamentarium, but transcranial focused ultrasound (FUS) is an emerging treatment of neurological disorders. Consequently, the literature in this field is increasing at a rapid pace.ObjectiveThis analysis was aimed to identify the top-cited articles on FUS to discern their origin, spread, current trends highlighting future impact of this novel neurosurgical intervention.MethodsWe searched the Web of Science database on 28th May 2021 and identified the top 100 cited articles. These articles were analyzed with various scientometric parameters like the authors, corresponding authors, country of corresponding author, journal of publication, year of publication. Citation based parameters including total citations, mean citations per article and mean citations, citation count, and the citation per year, citations per year and co-authors per document were studied as well in addition to Hirsch h-index, g-index, m-index, Bradford's Law, Lotka's law and Collaboration index.ResultsThe 100 top-cited articles were published between 1998 and 2019 in 45 different journals. The average citations per document and citations per document per year were 97.78 and 12.47, respectively. The most prolific authors were Hynynen K (Medical Biophysics-Toronto), Elias WJ (Neurosurgery-Virginia), Zadicario (InSightec). The Journal of Neurosurgery published the most top-cited articles (n = 11), and most articles originated from the United States, followed by Canada. Among individual institutions, the University of Toronto was the most productive.ConclusionFUS is an emerging treatment of neurological disorders. With its increasing application, the FUS literature is increasing rapidly. Eleven countries contributed to the top 100 cited articles, with the top 2 countries (the United States and Canada) contributing to more than half of these articles.
| S-EPMC9511032 | biostudies-literature
Project description:Benign breast diseases constitute a heterogeneous group of lesions arising in the mammary epithelium or in other mammary tissues, and they may also be linked to vascular, inflammatory or traumatic pathologies. Most lesions found in women consulting a physician are benign. Ultrasound (US) diagnostic criteria indicating a benign lesion are described as well as US findings in the most frequent benign breast lesions.
| S-EPMC3558101 | biostudies-literature
Project description:BackgroundAutologous breast reconstruction has continued to increase in popularity and witnessed significant advancements in aesthetic outcomes, patient satisfaction, and improved quality of life. We performed the first bibliometric analysis focused only on the 100 most-cited autologous breast reconstruction articles to characterize any emerging trends and assess the methodological quality of these studies.MethodsThe 100 most-cited articles in autologous breast reconstruction were identified on Web of Science, across all available journals and years. Study details, including the citation count, main subject, and outcome measures, were extracted from each article, and the level of evidence was also assessed.ResultsThe 100 most-cited articles in autologous breast reconstruction were cited by a total of 21,194 articles. Citation per article ranged significantly from 112 to 1123 (mean, 211.9). Overall, most of the top-cited articles are case reports/series (n = 32, mean citations = 243.2) and cohort studies (n = 30, mean citations = 211.2). This is closely followed by case-control studies (n = 29, mean citations = 183.6). Only four studies achieved level 1 status, underscoring a lack of high-quality methodological research in the field. Most studies (n = 72) highlighted autologous breast reconstruction outcomes, whereas 12 focused on its indications. There were nine studies exploring surgical techniques, and seven studies addressing the autologous breast reconstruction surgical anatomy.ConclusionsOverall, most of the influential articles in autologous breast reconstruction literature are of lower-level evidence. Contemporary research should focus on enhancing the study designs and measure clinical and patient-reported outcomes with validated tools, such as BREAST-Q.
| S-EPMC11319319 | biostudies-literature
Project description:Breast cancer is one of the most common causes of death among women worldwide. Early detection helps in reducing the number of early deaths. The data presented in this article reviews the medical images of breast cancer using ultrasound scan. Breast Ultrasound Dataset is categorized into three classes: normal, benign, and malignant images. Breast ultrasound images can produce great results in classification, detection, and segmentation of breast cancer when combined with machine learning.
| S-EPMC6906728 | biostudies-literature
Project description:BackgroundThe sentinel lymph node biopsy (SLNB) takes on a critical significance in breast cancer surgery since it is the gold standard for assessing axillary lymph node (ALN) metastasis and determining whether to perform axillary lymph node dissection (ALND). A bibliometric analysis is beneficial to visualize characteristics and hotspots in the field of sentinel lymph nodes (SLNs), and it is conducive to summarizing the important themes in the field to provide more insights into SLNs and facilitate the management of SLNs.Materials and methodsSearch terms relating to SLNs were aggregated and searched in the Web of Science core collection database to identify the top 100 most cited articles. Bibliometric tools were employed to identify and analyze publications for annual article volume, authors, countries, institutions, keywords, as well as hotspot topics.ResultsThe period was from 1998 to 2018. The total number of citations ranged from 160 to 1925. LANCET ONCOLOGY and JAMA-JOURNAL OF THE AMERICAN MEDICAL ASSOCIATION were the top two journals in which the above articles were published. Giuliano, AE was the author with the highest number of articles in this field with 15. EUROPEAN INST ONCOL is the institution with the highest number of publications, with 35 articles. Hotspots include the following 4 topics, false-negative SLNs after neoadjuvant chemotherapy; prediction of metastatic SLNs; quality of life and postoperative complications; and lymphography of SLNs.ConclusionThis study applies bibliometric tools to analyze the most influential literature, the top 100 cited articles in the field of SLNB, to provide researchers and physicians with research priorities and hotspots.
| S-EPMC10600391 | biostudies-literature
Project description:The role of ultrasound-guided interventions in the diagnosis and treatment of breast lesions is gaining importance and prevalence, particularly as the instances of non-palpable breast lesion detection, breast-conserving surgery, and neoadjuvant chemotherapy are increasing. This review attempts to summarize the types and techniques of breast ultrasound-guided interventional procedures, such as biopsy, tissue marker insertion, and preoperative localization, and their indications. Furthermore, we highlight the pro and cons of the most commonly used procedures with the intention of promoting their use in clinical practice.
| S-EPMC10083634 | biostudies-literature
Project description:Intraductal papillary neoplasms of the breast form a wide spectrum of pathological changes with benign intraductal papilloma and papillary carcinoma. They can occur anywhere within the breast ductal system. This review illustrates some characteristic appearances of breast papillary neoplasms on coronal planes reconstructed by automatic breast volume scan. Such manifestations are not uncommon in papillary neoplasms, and familiarity will enable confident diagnosis.
| S-EPMC3755396 | biostudies-other
Project description:ObjectiveTo compare the outcomes of digital breast tomosynthesis (DBT) screening combined with ultrasound (US) with those of digital mammography (DM) combined with US in women with dense breasts.Materials and methodsA retrospective database search identified consecutive asymptomatic women with dense breasts who underwent breast cancer screening with DBT or DM and whole-breast US simultaneously between June 2016 and July 2019. Women who underwent DBT + US (DBT cohort) and DM + US (DM cohort) were matched using 1:2 ratio according to mammographic density, age, menopausal status, hormone replacement therapy, and a family history of breast cancer. The cancer detection rate (CDR) per 1000 screening examinations, abnormal interpretation rate (AIR), sensitivity, and specificity were compared.ResultsA total of 863 women in the DBT cohort were matched with 1726 women in the DM cohort (median age, 53 years; interquartile range, 40-78 years) and 26 breast cancers (9 in the DBT cohort and 17 in the DM cohort) were identified. The DBT and DM cohorts showed comparable CDR (10.4 [9 of 863; 95% confidence interval {CI}: 4.8-19.7] vs. 9.8 [17 of 1726; 95% CI: 5.7-15.7] per 1000 examinations, respectively; P = 0.889). DBT cohort showed a higher AIR than the DM cohort (31.6% [273 of 863; 95% CI: 28.5%-34.9%] vs. 22.4% [387 of 1726; 95% CI: 20.5%-24.5%]; P < 0.001). The sensitivity for both cohorts was 100%. In women with negative findings on DBT or DM, supplemental US yielded similar CDRs in both DBT and DM cohorts (4.0 vs. 3.3 per 1000 examinations, respectively; P = 0.803) and higher AIR in the DBT cohort (24.8% [188 of 758; 95% CI: 21.8%-28.0%] vs. 16.9% [257 of 1516; 95% CI: 15.1%-18.9%; P < 0.001).ConclusionDBT screening combined with US showed comparable CDR but lower specificity than DM screening combined with US in women with dense breasts.
| S-EPMC10067692 | biostudies-literature
Project description:BackgroundThe primary objective was to determine whether mid-treatment ultrasound measurements of index breast tumors and index axillary nodes of different cancer subtypes associate with residual cancer burden (RCB).MethodsPatients with invasive breast cancer who underwent neoadjuvant chemotherapy and had pre-treatment and mid-treatment breast and axillary ultrasound were included in this single-institution, retrospective cohort study. Linear regression analysis assessed associations between RCB with (a) change in index breast tumor size, (b) change in index node size, and (c) absolute number of abnormal nodes at mid-treatment. Multivariate linear regression was used to calculate best-fit models for RCB.ResultsOne hundred fifty-nine patients (68 triple negative breast cancer [TNBC], 45 hormone receptor [HR]+/human epidermal growth factor receptor 2 [HER2]-, and 46 HR-/HER2+) were included. Median age at diagnosis was 50 years, range 30-76. Median tumor size was 3.4 cm, range 0.9-10.4. Pathological complete response/RCB-I rates were 36.8% (25/68) for TNBC patients, 24.4% (11/45) for HR+/HER2- patients, and 71.7% (33/46) for HR-/HER2+ patients. Linear regression analyses demonstrated associations between percent change in tumor ultrasound measurements at mid-treatment with RCB index score in TNBC and HR+/HER2- (p < .05) but not in HR-/HER2+ (p > .05) tumors and an association between axillary ultrasound assessment of number of abnormal nodes at mid-treatment with RCB index score across all subtypes (p < .05).ConclusionPerformance characteristics of breast ultrasound associated with RCB vary by cancer subtype, whereas the performance characteristics of axillary ultrasound associated with RCB are consistent across cancer subtype. Breast and axillary ultrasound may be valuable in monitoring response to neoadjuvant therapy. The Oncologist 2017;22:394-401 IMPLICATIONS FOR PRACTICE: The differential performance characteristics of breast ultrasound by molecular subtype and the consistent performance characteristics of axillary ultrasound across molecular subtypes can have clinical utility in monitoring response to neoadjuvant therapy.
| S-EPMC5388386 | biostudies-literature