Publications by authors named "Basak Dogan"

Ultrasound may be sufficient in the diagnostic evaluation of many noncalcified lesions recalled from screening digital breast tomosynthesis (DBT). In some scenarios, omission of diagnostic mammography can save health care costs. The purpose of this study was to evaluate the cost-effectiveness of a strategy of performing ultrasound first versus diagnostic mammography first in the diagnostic evaluation of noncalcified lesions recalled from screening DBT.

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The objective of the study was to use a deep learning model to differentiate between benign and malignant sentinel lymph nodes (SLNs) in patients with breast cancer compared to radiologists' assessments.Seventy-nine women with breast cancer were enrolled and underwent lymphosonography and contrast-enhanced ultrasound (CEUS) examination after subcutaneous injection of ultrasound contrast agent around their tumor to identify SLNs. Google AutoML was used to develop image classification model.

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As the proportion of women diagnosed with invasive breast cancer increases, the role of imaging for staging and surveillance purposes should be determined based on evidence-based guidelines. It is important to understand the indications for extent of disease evaluation and staging, as unnecessary imaging can delay care and even result in adverse outcomes. In asymptomatic patients that received treatment for curative intent, there is no role for imaging to screen for distant recurrence.

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Objective: This split-mouth randomized study aimed to assess efficacy of leucocyte-platelet-rich fibrin (L-PRF) versus connective tissue graft (CTG) in achieving root coverage (RC) for multiple adjacent gingival recessions (MAGRs) throughout 12-month period.

Materials And Methods: The study enrolled 59 teeth from 12 patients with Miller Class I MAGRs ≥ 2 mm on bilateral or contralateral sides. Patients were randomly assigned to receive coronally advanced flap (CAF) with either CTG (control) or L-PRF (test) treatment.

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Purpose To develop a custom deep convolutional neural network (CNN) for noninvasive prediction of breast cancer nodal metastasis. Materials and Methods This retrospective study included patients with newly diagnosed primary invasive breast cancer with known pathologic (pN) and clinical nodal (cN) status who underwent dynamic contrast-enhanced (DCE) breast MRI at the authors' institution between July 2013 and July 2016. Clinicopathologic data (age, estrogen receptor and human epidermal growth factor 2 status, Ki-67 index, and tumor grade) and cN and pN status were collected.

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Objective: Breast cancer clinical stage and nodal status are the most clinically significant drivers of patient management, in combination with other pathological biomarkers, such as estrogen receptor (ER), progesterone receptor or human epidermal growth factor receptor 2 (HER2) receptor status and tumor grade. Accurate prediction of such parameters can help avoid unnecessary intervention, including unnecessary surgery. The objective was to investigate the role of magnetic resonance imaging (MRI) radiomics for yielding virtual prognostic biomarkers (ER, HER2 expression, tumor grade, molecular subtype, and T-stage).

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Purpose: Mitigating false negative imaging studies remains an important issue given its association with worse morbidity and mortality in patients with breast cancer. We aimed to identify risk factors that predispose to false negative breast imaging exams.

Methods: In an IRB-approved, HIPAA compliant retrospective study, we identified all patients who were diagnosed with breast cancer within 365 days of a negative imaging study assessed as BI-RADS 1-3 between January 1, 2014 and January 31, 2020.

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Objective: The purpose of this study is to describe the imaging characteristics and outcomes of COVID-19 vaccine-related axillary adenopathy and subsequent follow-up.

Methods: This was an IRB-approved, retrospective study of patients with imaging evidence of axillary lymphadenopathy who had received at least one dose of a COVID-19 vaccine and presented between January 1, 2021, and February 28, 2021. Sonographic cortical thickness and morphology was evaluated.

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Artificial intelligence (AI) in breast imaging is a rapidly developing field with promising results. Despite the large number of recent publications in this field, unanswered questions have led to limited implementation of AI into daily clinical practice for breast radiologists. This paper provides an overview of the key limitations of AI in breast imaging including, but not limited to, limited numbers of FDA-approved algorithms and annotated data sets with histologic ground truth; concerns surrounding data privacy, security, algorithm transparency, and bias; and ethical issues.

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Rationale And Objectives: To compare rates of guideline-concordant care, imaging surveillance, recurrence and survival outcomes between a safety-net (SNH) and tertiary-care University Hospital (UH) served by the same breast cancer clinical teams.

Materials And Methods: 647 women with newly diagnosed breast cancer treated in affiliated SNH and UH between 11.1.

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Optoacoustic imaging (OAI) is an emerging field with increasing applications in patients and exploratory clinical trials for breast cancer. Optoacoustic imaging (or photoacoustic imaging) employs non-ionizing, laser light to create thermoelastic expansion in tissues and detect the resulting ultrasonic emission. By combining high optical contrast capabilities with the high spatial resolution and anatomic detail of grayscale ultrasound, OAI offers unique opportunities for visualizing biological function of tissues in vivo.

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Women in the United States who continue to face obstacles accessing health care are frequently termed an . Safety-net health care systems play a crucial role in mitigating health disparities and reducing burdens of disease, such as breast cancer, for underserved women. Disparities in health care are driven by various factors, including race and ethnicity, as well as socioeconomic factors that affect education, employment, housing, insurance status, and access to health care.

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Breast cancer is the most frequently diagnosed cancer among women worldwide, carrying a significant socioeconomic burden. Breast cancer is a heterogeneous disease with 4 major subtypes identified. Each subtype has unique prognostic factors, risks, treatment responses, and survival rates.

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Rationale And Objectives: To evaluate the cost-effectiveness of utilizing supplemental optoacoustic ultrasound (OA/US) versus gray-scale ultrasound (US) alone to differentiate benign and malignant breast masses in a diagnostic setting.

Materials And Methods: We created a decision-tree model to compare the cost-effectiveness of OA/US and US from the perspective of the US healthcare system. We utilized diagnostic test performance parameters from the PIONEER-01(NCT01943916) clinical trial and cost parameters (USD) from the Truven Health MarketScan Databases.

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Purpose: The purpose of this study was to determine the impact of COVID-19 on county safety-net breast imaging services and describe the steps taken to actively manage and mitigate delays.

Methods: This was an IRB exempt retrospective review of our county safety-net breast imaging practice analyzed for 4 distinct time periods: (1) "Shut-down period": March 17, 2020 to May 17, 2020; (2) "Phased re-opening": May 18, 2020 to June 30, 2020; (3) "Ramp-up": July 1, 2020 to September 30, 2020; and (4) "Current state": October 1, 2020 to September 30, 2021. These time periods were compared to identical time periods 1 year prior.

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Objective: To determine key performance metrics of magnetic resonance imaging (MRI)-guided breast biopsies (MRGB) to help identify reference benchmarks.

Materials And Methods: We identified studies reporting MRGB results up to 04.01.

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Objective: The aim of this study was to evaluate the knowledge and practice behavior of Turkish obstetrician-gynecologists regarding oral healthcare during pregnancy and the association between periodontal disease and adverse pregnancy outcomes.

Material And Methods: A cross-sectional study was conducted on randomly selected Turkish obstetrician-gynecologists using a questionnaire consisting of 26 questions during 11 Turkish-German Gynecological Association Congress. Participation in the survey was voluntary.

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Article Synopsis
  • - The study addresses the challenge of distinguishing between benign and malignant breast masses using conventional ultrasound, which often leads to false positives, by introducing optoacoustic imaging to improve specificity.
  • - Researchers analyzed ultrasound and fused optoacoustic images from 480 patients, comparing the accuracy of assessments made solely on ultrasound versus those supported by machine learning-based decision tools (DST).
  • - Results showed that using fused imaging with DST assistance significantly increased specificity at a fixed sensitivity of 98%, highlighting the improved diagnostic capability of this combined approach (47.2% vs 38.2% specificity for ultrasound alone).
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Objectives: To identify biopsy rates and indications for BI-RADS 3 lesions in a large cohort of patients and compare with follow-up compliance and malignancy outcomes.

Methods: We retrospectively reviewed all BI-RADS category-3 lesions seen on mammography and/or ultrasound between 2013 and 2015. Patient age, lesion size, follow-up rates at 6-, 12-, and 24-months were collected.

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Objective: Second-opinion interpretations of outside facility breast imaging provide value-added care but are operationally challenging for breast radiologists. Our objective was to survey members of the Society of Breast Imaging (SBI) to assess practice patterns and perceived barriers to performing outside study interpretations (OSIs).

Methods: An anonymous survey was developed by the Patient Care and Delivery Committee of the SBI and distributed via e-mail to SBI radiologist members.

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Objective: Assess the impact of COVID-19 on patient-breast radiologist interactions and evaluate the relationship between safety measure-constrained communication and physician wellbeing.

Methods: A 41-question survey on the perceived effect of COVID-19 on patient care was distributed from June 2020 to September 2020 to members of the Society of Breast Imaging and the National Consortium of Breast Centers. Non-radiologists and international members were excluded.

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Objectives: The aim of this study was to compare clinical, cytokine and microbiological responses after quadrant-based scaling and root planing (Q-SRP), full-mouth SRP (FM-SRP) and full-mouth disinfection (FMD) in patients with generalized aggressive periodontitis (GAgP), which is currently termed as generalized stage-III and grade-C periodontitis.

Methods: Forty-two patients with GAgP were randomly assigned into groups as Q-SRP, FM-SRP or FMD with chlorhexidine. Clinical parameters were recorded, and gingival crevicular fluid (GCF) and subgingival plaque samples were collected at baseline, 3 and 6 months after treatment.

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Background: This study aimed to evaluate the levels of total matrix metalloproteinase-8 (MMP-8), macrophage-activating factors (MAF), macrophage inflammatory protein (MIP)-1α, macrophage colony-stimulating factor (M-CSF), interleukin (IL)-34 in saliva, and serum of periodontally healthy, periodontitis Stage III Grade B (P-III-B) and Grade C (P-III-C) participants and to compare the changes after non-surgical periodontal treatment (NSPT).

Methods: A total of non-smoker and systemically healthy 65 participants, 20 periodontally healthy, 20 P-III-B, and 25 P-III-C were recruited for the study. The periodontal parameters were recorded, saliva and serum samples were obtained from all participants at baseline.

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The diagnostic performance of digital breast tomosynthesis (DBT) has been shown to be equal to that of diagnostic mammography. However, the value of additional mammographic views in diagnostic evaluations remains unclear. The purpose of this study was to compare the performance of diagnostic breast ultrasound (US) alone with that of combined US and diagnostic mammography for specific noncalcified recalled abnormalities detected on screening DBT.

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Traditionally, patients with newly diagnosed invasive breast cancer underwent axillary US to assess for suspicious axillary lymph nodes (LNs), which were then targeted for image-guided needle biopsy to determine the presence of metastasis. Over the past decade, there has been a shift towards axillary preservation. For patients with palpable lymphadenopathy, the decision to perform axillary imaging with documentation of the number and location of abnormal LNs in preparation for image-guided LN sampling is straightforward.

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