Article
Medicine, General & Internal
Giuliana Moffa, Francesca Galati, Roberto Maroncelli, Veronica Rizzo, Federica Cicciarelli, Marcella Pasculli, Federica Pediconi
Summary: The aim of this study was to compare the diagnostic performance of contrast-enhanced mammography (CEM) versus digital mammography (DM) combined with breast ultrasound (BUS) in women with dense breasts. The results showed that CEM had better sensitivity, specificity, positive predictive value, negative predictive value, and accuracy compared to DM and BUS. Therefore, CEM has a better diagnostic performance for women with dense breasts.
Article
Radiology, Nuclear Medicine & Medical Imaging
R. Alcantara, M. Posso, M. Pitarch, N. Arenas, B. Ejarque, V Iotti, G. Besutti
Summary: This study evaluated the feasibility of contrast-enhanced mammography (CEM)-guided biopsy at a Spanish university hospital. The results showed that the success and complication rates of this method were similar to those previously reported for magnetic resonance guidance.
EUROPEAN RADIOLOGY
(2023)
Article
Radiology, Nuclear Medicine & Medical Imaging
Yonggeng Goh, Ching Wan Chan, Premilla Pillay, Herng-Sheng Lee, Huay-Ben Pan, Bao-Hui Hung, Swee Tian Quek, Chen-Pin Chou
Summary: This study developed an ADS model for risk assessment of tomosynthesis-detected architectural distortion (AD) lesions based on characteristics of contrast-enhanced digital mammography. The features of CEDM can be used to predict the malignant risk of AD lesions.
EUROPEAN RADIOLOGY
(2021)
Review
Oncology
Mindy L. Yang, Chandni Bhimani, Robyn Roth, Pauline Germaine
Summary: Contrast-enhanced mammography (CEM) has become a widely used modality in breast imaging, showing high diagnostic performance in cancer detection. It is comparable to MRI in sensitivity with lower false positive rates. Familiarity with CEM and its implementation is of great clinical significance, as it can be used for screening dense breasts as well as staging known breast malignancies.
Article
Radiology, Nuclear Medicine & Medical Imaging
Giulia Bicchierai, Simone Busoni, Paolo Tortoli, Silvia Bettarini, Federica Di Naro, Diego De Benedetto, Elena Savi, Chiara Bellini, Vittorio Miele, Jacopo Nori
Summary: This retrospective study compares the radiation dose received during CEDM, short and long protocol (CEDM SP and CEDM LP), with dose received during DM and DBT. The results show that CEDM SP results in higher radiation exposure compared with conventional DM and DBT but lower than the Combo mode. The dose administered during the CEDM SP is lower in patients with dense breasts regardless of their size.
ACADEMIC RADIOLOGY
(2022)
Article
Engineering, Biomedical
N. W. Marshall, L. Cockmartin, H. Bosmans
Summary: Part II of this study presents constancy tests for artifacts, image uniformity, exposure time, and phantom-based dosimetry in mammography systems with contrast enhanced mammography (CEM) capability. The study evaluates the uniformity and signal-to-noise ratio of images taken with different phantom compositions and assesses the mean glandular dose (MGD) as a function of simulated breast thickness. The results show that image uniformity is superior for low energy images compared to high energy images, and the MGD is lower for high energy images than for low energy images.
PHYSICS IN MEDICINE AND BIOLOGY
(2023)
Article
Radiology, Nuclear Medicine & Medical Imaging
Rossano Girometti, Anna Linda, Paola Conte, Michele Lorenzon, Isabella De Serio, Katerina Jerman, Viviana Londero, Chiara Zuiani
Summary: The study found that preoperative contrast-enhanced spectral mammography (CEM) had better ability to detect additional cancer lesions in breast cancer patients compared to digital mammography plus digital breast tomosynthesis (DM + DBT), especially in dense breasts. CEM and DM + DBT showed similar performance in cancer size assessment.
Review
Radiology, Nuclear Medicine & Medical Imaging
Maxine S. Jochelson, Marc B. Lobbes
Summary: Contrast-enhanced mammography (CEM) is a promising alternative to contrast-enhanced breast MRI, offering improved accuracy in vascular imaging while reducing examination costs. It has shown positive outcomes in diagnosing breast lesions and screening, as well as in preoperative staging and monitoring response to chemotherapy in breast cancer patients. Early results also indicate potential benefits in screening high-risk women for breast cancer, although there are slight risks and increased radiation dose associated with CEM.
Article
Radiology, Nuclear Medicine & Medical Imaging
Julie Sogani, Victoria L. Mango, Delia Keating, Janice S. Sung, Maxine S. Jochelson
Summary: Contrast-enhanced mammography (CEM) combines conventional mammography with iodinated contrast material to improve cancer detection. CEM has comparable performance to breast MRI and can be useful for various indications in clinical practice.
Article
Radiology, Nuclear Medicine & Medical Imaging
Gisella Gennaro, Enrica Baldan, Elisabetta Bezzon, Francesca Caumo
Summary: This study evaluated the effectiveness of a new algorithm in reducing artifacts in dual-energy subtraction contrast-enhanced mammography images while preserving lesion contrast enhancement. The new algorithm successfully eliminated/reduced different types of artifacts, and showed equivalent results in maintaining lesion contrast enhancement compared to the standard algorithm.
INSIGHTS INTO IMAGING
(2022)
Article
Medicine, General & Internal
Gisella Gennaro, Melissa L. Hill, Elisabetta Bezzon, Francesca Caumo
Summary: Contrast-enhanced mammography may play an important role in personalized breast cancer screening models, especially for women at high risk or with dense breasts. Volumetric breast density measured from low-energy contrast-enhanced spectral mammography showed no significant difference compared to density measurements from standard digital mammography or tomosynthesis. The differences in volumetric breast density were associated with various independent variables, primarily related to breast positioning.
JOURNAL OF CLINICAL MEDICINE
(2021)
Article
Oncology
Natalia Siminiak, Anna Pasiuk-Czepczynska, Antonina Godlewska, Piotr Wojtys, Magdalena Olejnik, Joanna Michalak, Piotr Nowaczyk, Pawel Gajdzis, Dariusz Godlewski, Marek Ruchala, Rafal Czepczynski
Summary: This study evaluated the diagnostic performance of CEM and DBT in women recalled from a breast cancer screening program. The results showed that CEM and DBT had similar diagnostic accuracy and outperformed FFDM. CEM had a sensitivity of 97% and DBT had a sensitivity of 100%.
FRONTIERS IN ONCOLOGY
(2022)
Article
Medicine, General & Internal
Roberta Fusco, Adele Piccirillo, Mario Sansone, Vincenza Granata, Maria Rosaria Rubulotta, Teresa Petrosino, Maria Luisa Barretta, Paolo Vallone, Raimondo Di Giacomo, Emanuela Esposito, Maurizio Di Bonito, Antonella Petrillo
Summary: The study aimed to estimate the diagnostic accuracy of textural features extracted by dual-energy contrast-enhanced mammography images using artificial intelligence approaches. Through univariate and multivariate statistical analyses, different training methods and feature selections were compared to achieve the best results in medical imaging diagnosis.
Review
Oncology
Federica Vasselli, Alessandra Fabi, Francesca Romana Ferranti, Maddalena Barba, Claudio Botti, Antonello Vidiri, Silvia Tommasin
Summary: The aim of this study was to investigate the association between contrast-enhanced spectral mammography (CESM) findings and prognostic factors in breast cancer. The results showed that CESM enhancement is associated with the proliferation of tumoral cells and the expression of estrogen and progesterone receptors. The study suggests that CESM has the potential for improving breast cancer diagnostics, but further research is needed.
FRONTIERS IN ONCOLOGY
(2022)
Article
Radiology, Nuclear Medicine & Medical Imaging
Jordana Phillips, Janeiro U. Achibiri, Geunwon Kim, Liza M. Quintana, Rashmi J. Mehta, Tejas S. Mehta
Summary: The purpose of this paper is to characterize true and false positive findings on contrast-enhanced mammography (CEM) and correlate enhancement pattern and method of detection with pathology outcomes.
ACADEMIC RADIOLOGY
(2022)
Review
Radiology, Nuclear Medicine & Medical Imaging
Maxine S. Jochelson, Marc B. Lobbes
Summary: Contrast-enhanced mammography (CEM) is a promising alternative to contrast-enhanced breast MRI, offering improved accuracy in vascular imaging while reducing examination costs. It has shown positive outcomes in diagnosing breast lesions and screening, as well as in preoperative staging and monitoring response to chemotherapy in breast cancer patients. Early results also indicate potential benefits in screening high-risk women for breast cancer, although there are slight risks and increased radiation dose associated with CEM.
Article
Medicine, General & Internal
Isaac Daimiel Naranjo, Peter Gibbs, Jeffrey S. Reiner, Roberto Lo Gullo, Caleb Sooknanan, Sunitha B. Thakur, Maxine S. Jochelson, Varadan Sevilimedu, Elizabeth A. Morris, Pascal A. T. Baltzer, Thomas H. Helbich, Katja Pinker
Summary: This multicenter retrospective study evaluated the combined radiomics analysis and machine learning of dynamic contrast-enhanced (DCE) and diffusion-weighted imaging (DWI) for improved breast cancer detection. The multiparametric MRI model combining DCE and DWI features showed the best diagnostic accuracy, reducing unnecessary benign breast biopsies.
Article
Oncology
Roberto Lo Gullo, Hannah Wen, Jeffrey S. Reiner, Raza Hoda, Varadan Sevilimedu, Danny F. Martinez, Sunitha B. Thakur, Maxine S. Jochelson, Peter Gibbs, Katja Pinker
Summary: This study is the first to assess the use of radiomics coupled with machine learning from MRI-derived features to predict PD-L1 expression status in triple negative breast cancers and compare it with qualitative assessment by radiologists. The results show that this approach is promising for predicting PD-L1 status and selecting patients for anti-PD-1/PD-L1 treatment. It could also be used to monitor PD-L1 expression without the need for repeated biopsies.
Review
Oncology
Gaiane M. Rauch, Henry M. Kuerer, Maxine S. Jochelson
Summary: Knowledge of axillary nodal status is crucial for staging and treatment planning in breast cancer patients. Axillary ultrasound is a valuable tool for assessing nodal status and guiding treatment decisions. Recent advancements in surgical management and neoadjuvant therapy for breast cancer have raised questions about the utility of axillary ultrasound, but ongoing trials continue to assess its role in improving patient outcomes by providing more personalized treatment approaches.
JOURNAL OF BREAST IMAGING
(2021)
Review
Oncology
Victoria L. Mango, Melissa Pilewskie, Maxine S. Jochelson
Summary: Axillary lymph node status is crucial in predicting outcomes for breast cancer patients and requires multidisciplinary collaboration. While imaging plays an important role in assessing the axilla, it is essential to judiciously decide when to perform axillary ultrasound and/or image-guided biopsy to avoid unnecessary procedures.
JOURNAL OF BREAST IMAGING
(2021)
Article
Oncology
Isaac Daimiel Naranjo, Peter Gibbs, Jeffrey S. Reiner, Roberto Lo Gullo, Sunitha B. Thakur, Maxine S. Jochelson, Nikita Thakur, Pascal A. T. Baltzer, Thomas H. Helbich, Katja Pinker
Summary: Breast contrast-enhanced MRI is highly sensitive for breast cancer detection, but has low specificity. Multiparametric MRI with diffusion-weighted imaging can improve the accuracy of breast lesion discrimination. Our study demonstrates the potential of multiparametric radiomics and machine learning in assisting lesion differentiation on breast MRI in clinical practice. AI algorithms can support less experienced readers and improve the accuracy of breast lesion discrimination.
Review
Radiology, Nuclear Medicine & Medical Imaging
Jung Hyun Yoon, Fredrik Strand, Pascal A. T. Baltzer, Emily F. Conant, Fiona J. Gilbert, Constance D. Lehman, Elizabeth A. Morris, Lisa A. Mullen, Robert M. Nishikawa, Nisha Sharma, Ilse Vejborg, Linda Moy, Ritse M. Mann
Summary: This study evaluated the performance of artificial intelligence (AI) in the interpretation of digital mammography and digital breast tomosynthesis (DBT). The results showed that standalone AI performed as well as or better than radiologists in digital mammography, but there were insufficient studies to assess its performance in DBT interpretation.
Article
Economics
Michael Blankenburg, Irene Sanchez-Collado, Busayo Oladimeji Soyemi, Oerjan akerborg, Amrit Caleyachetty, James Harris, Elizabeth Morris, Gillian Newstead, Franziska Lobig
Summary: This study evaluated the cost-effectiveness of supplemental breast imaging modalities for women with dense breasts and intermediate or high risk of breast cancer in the USA. The results showed that all supplemental imaging modalities were cost-effective, with ultrasound and abbreviated MRI having the lowest incremental cost-effectiveness ratios. MRI and CEM demonstrated the best clinical outcomes compared to standard imaging modalities.
JOURNAL OF MEDICAL ECONOMICS
(2023)
Article
Multidisciplinary Sciences
Jennie A. M. R. Kunitake, Daniel Sudilovsky, Lynn M. Johnson, Hyun-Chae Loh, Siyoung Choi, Patrick G. Morris, Maxine S. Jochelson, Neil M. Iyengar, Monica Morrow, Admir Masic, Claudia Fischbach, Lara A. Estroff
Summary: Microcalcifications, primarily biogenic apatite, are important indicators in mammography for cancerous and benign breast pathologies. This study investigates the heterogeneity of 93 calcifications from 21 breast cancer patients using an omics-inspired approach, revealing physiological clusters, intratumor heterogeneity in carbonate content, enhanced trace metals in malignant-localized calcifications, and lower lipid-to-protein ratio in patients with poor composite outcome, suggesting potential clinical value in expanding research on calcification diagnostic metrics.
Editorial Material
Radiology, Nuclear Medicine & Medical Imaging
Maxine S. Jochelson, Rita A. Mukhtar
EUROPEAN JOURNAL OF RADIOLOGY
(2023)
Article
Oncology
Sarah Eskreis-Winkler, Janice S. Sung, Linden Dixon, Natasha Monga, Ragni Jindal, Amber Simmons, Sunitha Thakur, Varadan Sevilimedu, Elizabeth Sutton, Christopher Comstock, Kimberly Feigin, Katja Pinker
Summary: This study compared the diagnostic performance of breast magnetic resonance imaging (MRI) using a standard high-spatial resolution protocol to a simultaneous high-temporal/high-spatial resolution (HTHS) protocol in women with high levels of background parenchymal enhancement (BPE). The results showed that the HTHS protocol improved the diagnostic performance of breast MRI, leading to a higher cancer detection rate and positive predictive value of biopsy, as well as a decrease in unnecessary biopsies.
JOURNAL OF CLINICAL ONCOLOGY
(2023)
Article
Radiology, Nuclear Medicine & Medical Imaging
Gordon P. Watt, Snekha Thakran, Janice S. Sung, Maxine S. Jochelson, Marc B. I. Lobbes, Susan P. Weinstein, Angela R. Bradbury, Saundra S. Buys, Elizabeth A. Morris, Aditya Apte, Prusha Patel, Meghan Woods, Xiaolin Liang, Malcolm C. Pike, Despina Kontos, Jonine L. Bernstein
Summary: This study found that objectively measured BPE at breast MRI is associated with increased odds of breast cancer. High BPE extent is associated with a higher risk of breast cancer, and this association is consistent in both premenopausal and postmenopausal women.
Article
Health Care Sciences & Services
Kathleen A. Lynch, Thomas M. Atkinson, Adeleye D. Omisore, Olusola Famurewa, Olalekan Olasehinde, Oluwole Odujoko, Olusegun Alatise, Adedeji Egberongbe, T. Peter Kingham, Elizabeth A. Morris, Elizabeth Sutton
Summary: This article describes a pilot study aimed at developing a Technology Acceptability and Usage Survey (TAUS) that is suitable for low- and middle-income country (LMIC) clinical settings. Through a literature review and expert review, a final measure consisting of 18 items was established, which proved to be valuable in guiding the implementation of mHealth interventions.
JMIR FORMATIVE RESEARCH
(2022)