Article
Oncology
Shu Jiang, Debbie L. Bennett, Bernard A. Rosner, Graham A. Colditz
Summary: This study found that the rate of change in breast density was associated with the risk of subsequent breast cancer. Incorporation of longitudinal changes into existing models could optimize risk stratification and guide more personalized risk management.
Review
Radiology, Nuclear Medicine & Medical Imaging
Tone Hovda, Kaitlyn Tsuruda, Solveig Roth Hoff, Kristine Kleivi Sahlberg, Solveig Hofvind
Summary: The study reviewed mammograms for 1225 women with screen-detected breast cancer. Results showed that visible findings on prior screening mammograms were not necessarily indicative of screening failure. Some cases were classified as missed, aiming to improve the quality of breast cancer screening.
EUROPEAN RADIOLOGY
(2021)
Article
Radiology, Nuclear Medicine & Medical Imaging
Kristin Johnson, Kristina Lang, Debra M. Ikeda, Anna Akesson, Ingvar Andersson, Sophia Zackrisson
Summary: Interval cancer rates were lower in DBT screening compared to DM screening, potentially indicating screening benefits. Interval cancers in the trial generally exhibited nonfavorable characteristics.
Article
Oncology
Nisha Sharma, Annie Y. Ng, Jonathan J. James, Galvin Khara, Eva Ambrozay, Christopher C. Austin, Gabor Forrai, Georgia Fox, Ben Glocker, Andreas Heindl, Edit Karpati, Tobias M. Rijken, Vignesh Venkataraman, Joseph E. Yearsley, Peter D. Kecskemethy
Summary: This retrospective study simulated double reading with artificial intelligence (AI) as an independent reader (IR) in screening mammography. The results showed that AI has the potential to substantially reduce human reader workload while maintaining or improving the standard of care across different screening programs, mammography equipment, and geographies.
Article
Radiology, Nuclear Medicine & Medical Imaging
Pierpaolo Pattacini, Andrea Nitrosi, Paolo Giorgi Rossi, Stephen W. Duffy, Valentina Iotti, Vladimiro Ginocchi, Sara Ravaioli, Rita Vacondio, Pamela Mancuso, Moira Ragazzi, Cinzia Campari
Summary: The baseline cancer detection was higher in the DBT plus DM arm compared to the DM arm, but the interval cancer incidence was similar between the two groups. Cumulative incidence remained higher in women over 50 in the DBT plus DM arm, while it was similar in women aged 45-49.
Article
Radiology, Nuclear Medicine & Medical Imaging
Jose Luis Raya-Povedano, Sara Romero-Martin, Esperanza Elias-Cabot, Albert Gubern-Merida, Alejandro Rodriguez-Ruiz, Marina Alvarez-Benito
Summary: Using artificial intelligence systems in breast cancer screening can significantly reduce workload without compromising cancer detection rates, according to the study.
Review
Radiology, Nuclear Medicine & Medical Imaging
Raymond J. Acciavatti, Su Hyun Lee, Beatriu Reig, Linda Moy, Emily F. Conant, Despina Kontos, Woo Kyung Moon
Summary: Breast density is an independent risk factor for breast cancer and can be assessed visually using digital mammography and tomosynthesis. In addition to density, textural complexity is also a measure of breast cancer risk. Other screening modalities like breast US and MRI offer independent risk measures as well.
Article
Radiology, Nuclear Medicine & Medical Imaging
George John William Partridge, Adnan Gani Taib, Peter Phillips, Jonathan Jeffrey James, Keshthra Satchithananda, Nisha Sharma, Juliet Morel, Rita McAvinchey, Alexandra Valencia, William Teh, Humaira Khan, Elizabeth Muscat, Michael James Michell, Yan Chen
Summary: This study evaluated the changes in diagnostic accuracy and subjective and objective fatigue during a DBT reporting session, and assessed the impact of taking a reporting break. The results showed that breaks can reduce subjective and objective fatigue without affecting diagnostic accuracy.
EUROPEAN RADIOLOGY
(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.
Article
Radiology, Nuclear Medicine & Medical Imaging
Esperanza Elias-Cabot, Sara Romero-Martin, Jose Luis Raya-Povedano, A. -K. Brehl, Marina Alvarez-Benito
Summary: The study evaluated the impact of using an artificial intelligence (AI) system as support for human double reading in a breast cancer screening program. The results showed that AI support can improve the cancer detection rate and positive predictive value.
EUROPEAN RADIOLOGY
(2023)
Article
Oncology
Kanako Ban, Hiroko Tsunoda, Seiko Togashi, Yuko Kawaguchi, Takanobu Sato, Yoko Takahashi, Yoshitaka Nagatsuka
Summary: This study confirmed that using digital breast tomosynthesis (DBT) for breast cancer screening in Japanese women can improve the recall rate, decrease positive predictive value, and reduce the detection of focal asymmetric density (FAD). There was no significant difference in cancer detection rates between the DBT group and digital mammography group, only confirming the non-inferiority of DBT.
Article
Medicine, General & Internal
Ya-Chen Tina Shih, Wenli Dong, Ying Xu, Ruth Etzioni, Yu Shen
Summary: The study evaluated the cost-effectiveness of breast cancer screening strategies stratified by breast density, concluding that baseline mammography at age 40 is effective and cost-effective.
ANNALS OF INTERNAL MEDICINE
(2021)
Article
Radiology, Nuclear Medicine & Medical Imaging
Sahand Hooshmand, Warren M. Reed, Mo'ayyad E. Suleiman, Patrick C. Brennan
Summary: The prototype of a new innovative risk model, Breast-iRRISC, is designed to evaluate the total risk involved with screening mammography for each individual female using information gathered from a single mammographic examination. This novel tool demonstrates the applicability of personalized risk assessment in informing clinical decision-making and health policy regarding breast cancer screening.
BRITISH JOURNAL OF RADIOLOGY
(2021)
Article
Radiology, Nuclear Medicine & Medical Imaging
Victor Dahlblom, Magnus Dustler, Anders Tingberg, Sophia Zackrisson
Summary: The combination of digital breast tomosynthesis (DBT) and artificial intelligence (AI) can improve the accuracy of breast cancer screening and reduce reading workload, resulting in the detection of more cancers.
EUROPEAN RADIOLOGY
(2023)
Article
Radiology, Nuclear Medicine & Medical Imaging
Minah Lee, Si Eun Lee, Hye Rim Kim, Min Jung Kim, Jung Hyun Yoon, Vivian Youngjean Park
Summary: The malignancy rate of probably benign calcifications assessed by digital magnification view was found to be low. The distribution, morphology, increase in calcifications, and presence of newly diagnosed breast cancer/high-risk lesion were associated with malignancy.
EUROPEAN RADIOLOGY
(2022)