44,686 results match your criteria Breast Cancer Ultrasonography

Assessment of preoperative axillary nodal disease burden: breast MRI in locally advanced breast cancer before, during and after neoadjuvant endocrine therapy.

BMC Cancer 2022 Jun 25;22(1):702. Epub 2022 Jun 25.

Department of Diagnostic Imaging and Intervention, Akershus University Hospital (AHUS), Postboks 1000, 1478, Lørenskog, Norway.

Background: Axillary lymph node (LN) metastasis is one of the most important predictors of recurrence and survival in breast cancer, and accurate assessment of LN involvement is crucial. Determining extent of residual disease is key for surgical planning after neoadjuvant therapy. The aim of the study was to evaluate the diagnostic reliability of MRI for nodal disease in locally advanced breast cancer patients treated with neoadjuvant endocrine therapy (NET). Read More

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Imaging biomarkers of breast cancers originating from the major lactiferous ducts: Ductal adenocarcinoma of the breast, DAB.

Eur J Radiol 2022 Jun 4;154:110394. Epub 2022 Jun 4.

School of Oral Hygiene, College of Oral Medicine, Taipei Medical University, Wuxing Street, Taipei 110, Taiwan.

Purpose: As we have previously demonstrated, breast cancers originating in the major lactiferous ducts and propagating through the process of neoductgenesis are a distinct subtype of invasive breast cancers, although by current practice they are placed within the group termed ductal carcinoma in situ (DCIS) and are consequently underdiagnosed and undertreated. Imaging biomarkers provide a reliable indication of the site of origin of this breast cancer subtype (Ductal Adenocarcinoma of the breast, DAB) and have excellent concordance with long-term patient outcome. In the present paper, the imaging biomarkers of DAB are described in detail to encourage and facilitate its recognition as a distinct, invasive breast cancer subtype. Read More

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Combining the strengths of radiologists and AI for breast cancer screening: a retrospective analysis.

Lancet Digit Health 2022 Jul;4(7):e507-e519

Department of Diagnostic and Interventional Radiology and Neuroradiology, University-Hospital Essen, Essen, Germany.

Background: We propose a decision-referral approach for integrating artificial intelligence (AI) into the breast-cancer screening pathway, whereby the algorithm makes predictions on the basis of its quantification of uncertainty. Algorithmic assessments with high certainty are done automatically, whereas assessments with lower certainty are referred to the radiologist. This two-part AI system can triage normal mammography exams and provide post-hoc cancer detection to maintain a high degree of sensitivity. Read More

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AI-CAD for differentiating lesions presenting as calcifications only on mammography: outcome analysis incorporating the ACR BI-RADS descriptors for calcifications.

Eur Radiol 2022 Jun 24. Epub 2022 Jun 24.

Department of Radiology, Severance Hospital, Research Institute of Radiological Science, Center for Clinical Imaging Data Science, Yonsei University, College of Medicine, 50-1 Yonsei-ro Seodaemun-gu, Seoul, 03722, Korea.

Objectives: To evaluate how AI-CAD triages calcifications and to compare its performance to an experienced breast radiologist.

Methods: Among routine mammography performed between June 2016 and May 2018, 535 lesions detected as calcifications only on mammography in 500 women (mean age, 48.8 years) that were additionally interpreted with additional magnification views were included in this study. Read More

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Tc-99m-tamoxifen: A novel diagnostic imaging agent for estrogen receptor-expressing breast cancer patients.

Diagn Interv Radiol 2022 May;28(3):275-284

Department of Nuclear Medicine, Post Graduate Institute of Medical Education and Research, Chandigarh, India.

PURPOSE The aim of the study was to radiolabel, characterize, and perform in vitro and in vivo assessment of Technetium-99m (Tc-99m) tamoxifen for screening ER expressing lesions in breast cancer patients. METHODS In this study, tamoxifen has been radiolabeled with Tc-99m via Tc-99m-tricarbonyl core. The characterization and quality control tests of Tc-99m-tamoxifen were performed. Read More

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Ultra-Hypofractionated vs. Moderate Fractionated Whole Breast Three Dimensional Conformal Radiotherapy during the COVID-19 Pandemic.

Medicina (Kaunas) 2022 May 30;58(6). Epub 2022 May 30.

Faculty of Medicine, University of Novi Sad, 21000 Novi Sad, Serbia.

: Reducing time of treatment during COVID-19 outbreaks has been recommended by the leading Radiation Oncology societies. Still minimizing radiation induced tissue toxicity is one of the most important issues in breast cancer patients. The study aimed to investigate compliance, clinical and dosimetry normal tissue toxicity, and cosmetic results between moderated and ultra-fractionated regimes for breast cancer patients during COVID-19 pandemic. Read More

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Hypofractionation and Concomitant Boost in Ductal Carcinoma In Situ (DCIS): Analysis of a Prospective Case Series with Long-Term Follow-Up.

Life (Basel) 2022 Jun 14;12(6). Epub 2022 Jun 14.

Department of Translational Medicine (DIMET), 'Maggiore della Carità' University Hospital, University of Eastern Piedmont, 28100 Novara, Italy.

We previously reported on a cohort of breast cancer patients affected with ductal carcinoma in situ (DCIS) that were treated with breast conservative surgery and hypofractionated whole-breast radiotherapy with a concomitant boost to the lumpectomy cavity. We now report on the long-term results of the oncological and toxicity outcomes, at a median follow-up of 11.2 years. Read More

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Diagnostic Challenge of Invasive Lobular Carcinoma of the Breast: What Is the News? Breast Magnetic Resonance Imaging and Emerging Role of Contrast-Enhanced Spectral Mammography.

J Pers Med 2022 May 25;12(6). Epub 2022 May 25.

Radiology Unit, Mater Olbia Hospital (Qatar Foundation Endowment and Policlinico Universitario Agostino Gemelli IRCCS Foundation), Strada Statale 125 Orientale Sarda, 07026 Olbia, Italy.

Invasive lobular carcinoma is the second most common histologic form of breast cancer, representing 5% to 15% of all invasive breast cancers. Due to an insidious proliferative pattern, invasive lobular carcinoma remains clinically and radiologically elusive in many cases. Breast magnetic resonance imaging (MR) is considered the most accurate imaging modality in detecting and staging invasive lobular carcinoma and it is strongly recommended in pre-operative planning for all ILC. Read More

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The Effects of Prior Mammography Screening on the Performance of Breast Cancer Detection in Taiwan.

Healthcare (Basel) 2022 Jun 2;10(6). Epub 2022 Jun 2.

Department of Nuclear Medicine, Kaohsiung Medical University Hospital, Kaohsiung 807, Taiwan.

The aim of this study was to investigate the influence of previous mammography screening on the performance of breast cancer detection. The screened women were divided into first-visit and follow-up groups for breast cancer screening. The positive predictive value (PPV), cancer detection rate (CDR), and recall rate were used to evaluate and analyze the overall screening performance among the two groups. Read More

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Diagnostic Efficacy across Dense and Non-Dense Breasts during Digital Breast Tomosynthesis and Ultrasound Assessment for Recalled Women.

Diagnostics (Basel) 2022 Jun 16;12(6). Epub 2022 Jun 16.

Medical Image Optimisation and Perception Group, Discipline of Medical Imaging Science, Faculty of Medicine and Health, The University of Sydney, Camperdown, NSW 2006, Australia.

Background: To compare the diagnostic efficacy of digital breast tomosynthesis (DBT) and ultrasound across breast densities in women recalled for assessment.

Methods: A total of 482 women recalled for assessment from January 2017 to December 2019 were selected for the study. Women met the inclusion criteria if they had undergone DBT, ultrasound and had confirmed biopsy results. Read More

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Detecting Abnormal Axillary Lymph Nodes on Mammograms Using a Deep Convolutional Neural Network.

Diagnostics (Basel) 2022 May 29;12(6). Epub 2022 May 29.

Department of Diagnostic and Interventional Radiology, University Hospital Zurich, University of Zurich, 8091 Zurich, Switzerland.

The purpose of this study was to determine the feasibility of a deep convolutional neural network (dCNN) to accurately detect abnormal axillary lymph nodes on mammograms. In this retrospective study, 107 mammographic images in mediolateral oblique projection from 74 patients were labeled to three classes: (1) "breast tissue", (2) "benign lymph nodes", and (3) "suspicious lymph nodes". Following data preprocessing, a dCNN model was trained and validated with 5385 images. Read More

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Breast Cancer Screening Based on Supervised Learning and Multi-Criteria Decision-Making.

Diagnostics (Basel) 2022 May 27;12(6). Epub 2022 May 27.

Department of Statistics, Carlos III University of Madrid, 28903 Getafe, Madrid, Spain.

On average, breast cancer kills one woman per minute. However, there are more reasons for optimism than ever before. When diagnosed early, patients with breast cancer have a better chance of survival. Read More

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Predictive and Prognostic Value of Non-Coding RNA in Breast Cancer.

Cancers (Basel) 2022 Jun 15;14(12). Epub 2022 Jun 15.

Department of Medical Surgery and Health Sciences, University of Trieste, 34127 Trieste, Italy.

For decades since the central dogma, cancer biology research has been focusing on the involvement of genes encoding proteins. It has been not until more recent times that a new molecular class has been discovered, named non-coding RNA (ncRNA), which has been shown to play crucial roles in shaping the activity of cells. An extraordinary number of studies has shown that ncRNAs represent an extensive and prevalent group of RNAs, including both oncogenic or tumor suppressive molecules. Read More

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Clinical Diagnoses and Outcomes After Diagnostic Breast Ultrasound by Nurses and General Practitioner Physicians in Rural Rwanda.

J Am Coll Radiol 2022 Jun 20. Epub 2022 Jun 20.

Director of Global Radiology, University of Massachusetts Medical Center, Worcester, Massachusetts.

Purpose: To scale up early detection of breast cancer in low- and middle-income countries, research is needed to inform the role of diagnostic breast ultrasound performed by nonradiologists in resource-constrained settings. The authors examined 2-year clinical follow-up and outcomes among women who underwent diagnostic breast ultrasound performed by nonradiologist clinicians participating in a breast ultrasound training and mentorship program at a rural Rwandan hospital.

Methods: Imaging findings, management plans, and pathologic results were prospectively collected during the training using a standardized form. Read More

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Multilevel Factors Associated With Time to Biopsy After Abnormal Screening Mammography Results by Race and Ethnicity.

JAMA Oncol 2022 Jun 23. Epub 2022 Jun 23.

Department of Radiology, University of Washington School of Medicine, Seattle.

Importance: Diagnostic delays in breast cancer detection may be associated with later-stage disease and higher anxiety, but data on multilevel factors associated with diagnostic delay are limited.

Objective: To evaluate individual-, neighborhood-, and health care-level factors associated with differences in time from abnormal screening to biopsy among racial and ethnic groups.

Design, Setting, And Participants: This prospective cohort study used data from women aged 40 to 79 years who had abnormal results in screening mammograms conducted in 109 imaging facilities across 6 US states between 2009 and 2019. Read More

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Visual Evaluation of Ultrafast MRI in the Assessment of Residual Breast Cancer after Neoadjuvant Systemic Therapy: A Preliminary Study Association with Subtype.

Tomography 2022 Jun 10;8(3):1522-1533. Epub 2022 Jun 10.

Department of Diagnostic Imaging and Nuclear Medicine, Kyoto University Graduate School of Medicine, 54 Shogoin-Kawaharacho, Kyoto 606-8507, Japan.

The purpose of this study was to investigate the diagnostic performance of ultrafast DCE (UF-DCE) MRI after the completion of neoadjuvant systemic therapy (NST) in breast cancer. In this study, MR examinations of 55 post-NST breast cancers were retrospectively analyzed. Residual tumor sizes were measured in the 20th phase of UF-DCE MRI, early and delayed phases of conventional DCE MRI, and high spatial-resolution CE MRI (UF, early, delayed, and HR, respectively). Read More

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Female Healthcare Workers' Knowledge, Attitude towards Breast Cancer, and Perceived Barriers towards Mammogram Screening: A Multicenter Study in North Saudi Arabia.

Curr Oncol 2022 Jun 15;29(6):4300-4314. Epub 2022 Jun 15.

College of Medicine, Jouf University, Sakaka 72388, Saudi Arabia.

Breast cancer is the most commonly diagnosed cancer among women in the Kingdom of Saudi Arabia and other Middle East countries. This analytical cross-sectional study assessed knowledge, attitude towards breast cancer, and barriers to mammogram screening among 414 randomly selected female healthcare workers from multiple healthcare facilities in northern Saudi Arabia. Of the studied population, 48. Read More

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How Did CNBSS Influence Guidelines for So Long and What Can That Teach Us?

Curr Oncol 2022 May 30;29(6):3922-3932. Epub 2022 May 30.

Department of Radiology and Diagnostic Imaging, University of Alberta, 2A2.41 WMC 8440-112 Street, Edmonton, Alberta, AB T6G 2B7, Canada.

The biased randomization and other quality concerns about the Canadian National Breast Screening Studies (CNBSS) were documented and criticized for decades, even by several individuals very close to the research. CNBSS were the outlier studies among several RCTs of the era and yet were given equal weighting and occasionally higher importance than the remainder of the canon of mammography RCTs. These studies have had an ongoing influence on subsequent evidence review, guideline formation, and, ultimately, patient access to screening. Read More

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Inguinal lymph node metastasis in treated breast cancer: an extremely rare presentation and review of literature.

BMJ Case Rep 2022 Jun 22;15(6). Epub 2022 Jun 22.

Department of Pathology, All India Institute of Medical Sciences Bhubaneswar, Bhubaneswar, Odisha, India.

Metastasis to inguinal lymph nodes from breast cancer is extremely rare and only a handful of cases have been reported in the literature to date. We report a case of a postmenopausal female patient who was a treated case of right breast cancer and developed inguinal metastases after 9 months. An excisional biopsy of the lesion confirmed the diagnosis. Read More

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MR imaging properties of breast cancer molecular subtypes.

Eur Rev Med Pharmacol Sci 2022 Jun;26(11):3840-3848

Department of Radiology, Osmaniye State Hospital, Osmaniye, Turkey.

Objective: In this study, we aim at investigating the magnetic resonance (MR) imaging features of molecular subtypes, according to the BIRADS Atlas.

Patients And Methods: The preoperative MRI examinations of 104 breast cancer patients were reviewed retrospectively using the 5th Edition Breast Imaging-Reporting and Data System (BI-RADS) Atlas. According to BI-RADS, cases were classified as mass or non-mass enhancement. Read More

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Potential value of tumor stiffness and sE-cadherin in predicting the response to neoadjuvant therapy in HER2-positive breast cancers.

Future Oncol 2022 Jun 22. Epub 2022 Jun 22.

Department of Pathology, The Affiliated People's Hospital of Ningbo University, Ningbo, Zhejiang Province, China.

This prospective study compared the diagnostic value of tumor stiffness and serum soluble E-cadherin (sE-cadherin) expression for predicting response to neoadjuvant therapy in HER2-positive breast cancers. 112 patients with early or locally advanced HER2-positive breast cancer were enrolled. Maximum stiffness (Emax), mean stiffness (Emean) and their relative changes were assessed at t0 and t2. Read More

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Novel applications of molecular imaging to guide breast cancer therapy.

Cancer Imaging 2022 Jun 21;22(1):31. Epub 2022 Jun 21.

Department of Radiology, Hospital of the University if Pennsylvania, 3400 Spruce Street, Philadelphia, PA, 19104, USA.

The goals of precision oncology are to provide targeted drug therapy based on each individual's specific tumor biology, and to enable the prediction and early assessment of treatment response to allow treatment modification when necessary. Thus, precision oncology aims to maximize treatment success while minimizing the side effects of inadequate or suboptimal therapies. Molecular imaging, through noninvasive assessment of clinically relevant tumor biomarkers across the entire disease burden, has the potential to revolutionize clinical oncology, including breast oncology. Read More

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Incidental irradiation of the regional lymph nodes during deep inspiration breath-hold radiation therapy in left-sided breast cancer patients: a dosimetric analysis.

BMC Cancer 2022 Jun 21;22(1):682. Epub 2022 Jun 21.

Department of Radiation Oncology, University Hospital of Freiburg, Robert-Koch-Strasse 3, 79106, Freiburg, Germany.

Background: Radiotherapy using the deep inspiration breath-hold (DIBH) technique compared with free breathing (FB) can achieve substantial reduction of heart and lung doses in left-sided breast cancer cases. The anatomical organ movement in deep inspiration also cause unintended exposure of locoregional lymph nodes to the irradiation field.

Methods: From 2017-2020, 148 patients with left-sided breast cancer underwent breast conserving surgery (BCS) or mastectomy (ME) with axillary lymph node staging, followed by adjuvant irradiation in DIBH technique. Read More

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Assessment of breast lesions by the Kaiser score for differential diagnosis on MRI: the added value of ADC and machine learning modeling.

Eur Radiol 2022 Jun 21. Epub 2022 Jun 21.

Department of Radiology, The First Affiliated Hospital of Wenzhou Medical University, Wenzhou, Zhejiang, People's Republic of China.

Objectives: To evaluate the diagnostic performance of Kaiser score (KS) adjusted with the apparent diffusion coefficient (ADC) (KS+) and machine learning (ML) modeling.

Methods: A dataset of 402 malignant and 257 benign lesions was identified. Two radiologists assigned the KS. Read More

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How well do practicing radiologists interpret the results of CAD technology? A quantitative characterization.

Cogn Res Princ Implic 2022 Jun 20;7(1):52. Epub 2022 Jun 20.

Department of Neuroscience and Regenerative Medicine, Medical College of Georgia, Augusta University, Augusta University, DNRM, CA-2003, 1469 Laney Walker Blvd, Augusta, GA, 30912-2697, USA.

Many studies have shown that using a computer-aided detection (CAD) system does not significantly improve diagnostic accuracy in radiology, possibly because radiologists fail to interpret the CAD results properly. We tested this possibility using screening mammography as an illustrative example. We carried out two experiments, one using 28 practicing radiologists, and a second one using 25 non-professional subjects. Read More

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A Convolutional Neural Network Based on Ultrasound Images of Primary Breast Masses: Prediction of Lymph-Node Metastasis in Collaboration With Classification of Benign and Malignant Tumors.

Front Physiol 2022 2;13:882648. Epub 2022 Jun 2.

Department of Ultrasound, Shanghai General Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China.

A convolutional neural network (CNN) can perform well in either of two independent tasks [classification and axillary lymph-node metastasis (ALNM) prediction] based on breast ultrasound (US) images. This study is aimed to investigate the feasibility of performing the two tasks simultaneously. We developed a multi-task CNN model based on a self-built dataset containing 5911 breast US images from 2131 patients. Read More

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Radiation-induced osteoradionecrosis of the ribs in a patient with breast cancer: A case report.

Radiol Case Rep 2022 Aug 13;17(8):2894-2898. Epub 2022 Jun 13.

Department of Radiology, Yeungnam University College of Medicine, Daegu, Republic of Korea.

Osteoradionecrosis of the chest wall after radiation therapy for breast cancer is rare; however, it is one of the most severe complications of radiation treatment. Radiologically, osteoradionecrosis can manifest as a focal lucent area in bone, periostitis, sclerosis, and cortical irregularity of bones on X-ray or computed tomography; therefore, differentiation from bone metastasis can be challenging. Associated insufficiency fractures, ulceration, and skin necrosis may also occur. Read More

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Breast Cancer Survivorship Programme: Follow-Up, Rehabilitation, Psychosocial Oncology Care. 1st Central-Eastern European Professional Consensus Statement on Breast Cancer.

Pathol Oncol Res 2022 2;28:1610391. Epub 2022 Jun 2.

Institute of Oncology, University of Debrecen, Debrecen, Hungary.

Follow-up includes ongoing contact with and health education of the patient, surveillance and control of the adverse effects of surgery, oncological therapies or radiotherapy, screening of metachronous cancers, and comprehensive (physical, psychological and social) patient rehabilitation, which may be enhanced by a healthy lifestyle. Primary attention should be paid to early detection and, when needed, curative treatment of local/regional tumour recurrences. Similarly, with the hope of curative solution, it is important to recognize the entity of a low-mass and relatively indolent recurrence or metastasis (oligometastasis); however, there is still no need to investigate distant metastases by routine diagnostic imaging or assess tumour markers. Read More

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Breast Cancer Prediction Empowered with Fine-Tuning.

Comput Intell Neurosci 2022 9;2022:5918686. Epub 2022 Jun 9.

Center for Cyber Physical Systems, Khalifa University, Abu Dhabi 127788, UAE.

In the world, in the past recent five years, breast cancer is diagnosed about 7.8 million women's and making it the most widespread cancer, and it is the second major reason for women's death. So, early prevention and diagnosis systems of breast cancer could be more helpful and significant. Read More

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Prediction for Distant Metastasis of Breast Cancer Using Dynamic Contrast-Enhanced Magnetic Resonance Imaging Images under Deep Learning.

Comput Intell Neurosci 2022 8;2022:6126061. Epub 2022 Jun 8.

Department of Medical Iconography, Baoji Central Hospital, Baoji 721008, Shaanxi, China.

This research aimed to explore the effect of using magnetic resonance imaging (MRI) radiomic features to establish a model for predicting distant metastasis under dynamic contrast-enhanced MRI imaging with deep learning algorithms. The deep learning algorithm was used to segment the images. A total of 96 cases with 100 lesions were included in the metastatic group, including 2 cases of bifocal breast cancer and 2 cases of multifocal breast cancer. Read More

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