Objective: The aim of this study was to retrospectively determine screening outcome in women recalled twice for the same mammographic lesion before, during, and after transition from screen-film (SFM) to full-field digital screening mammography (FFDM).
Methods: We included women with a repeated recall for the same mammographic abnormality (37 at subsequent SFM-screening, obtained between January 2000-April 2010; respectively 54 and 65 women with a prior SFM-screen or FFDM-screen followed by subsequent FFDM-screening, obtained between May 2009-July 2013).
Results: At SFM-screening, repeated recalls for the same lesion comprised 1.2 % of recalls (37/3217), including 13 malignancies (positive predictive value (PPV), 35.1 %). During the SFM to FFDM transition (SFM-screen followed by FFDM-screen), FFDM recalls comprised more repeated recalls for the same lesion (2.2 %, P = 0.002), with a lower PPV (14.8 %, P = 0.02). This proportion increased to 2.8 % after transition to FFDM (i.e., two successive FFDM-screens), with 16 malignancies (PPV, 24.6 %). Invasive cancers at repeated recall were smaller than interval cancers (T1a-c, 79.4 versus 46.8 %, P = 0.001), with less lymph node involvement (20.6 versus 46.5 %, P = 0.007).
Conclusions: More women are repeatedly recalled for the same mammographic abnormality during and after the transition from SFM to FFDM-screening, with comparable cancer risks before and after the transition. These cancers show better prognostic characteristics than interval cancers.
Key Points: • FFDM-screening increases the number of repeated recalls for the same mammographic abnormality. • The PPV of these recalls is comparable before and after transition to FFDM-screening. • Cancers diagnosed after a repeated recall are smaller than interval cancers. • These cancers also show less lymph node involvement than interval cancers.
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http://dx.doi.org/10.1007/s00330-016-4399-y | DOI Listing |
J Ultrasound
December 2024
Department of Radiology, Research Institute of Radiology, Asan Medical Center, College of Medicine, University of Ulsan, Olympic-ro 43-gil, Songpa-gu, 05505, Seoul, Republic of Korea.
Purpose: To determine how often non-mass lesions are seen in screening breast ultrasounds, and analyze their ultrasound features according to the ultrasound lexicon to find features suggestive of malignant non-mass lesions.
Methods: This study is a single center retrospective study for nonmass lesions on screening breast ultrasound. Among 21,604 patients who underwent screening breast US, there were 279 patients with nonmass lesions.
Eur Radiol
December 2024
Canisius Wilhelmina Hospital, Weg door Jonkerbos 100, 6532 SZ, Nijmegen, The Netherlands.
Objectives: Quality control in breast cancer screening programmes has been subject of several studies. However, less is known about the clinical diagnostic work-up in recalled women with a suspicious finding at screening mammography. The current study focuses on interhospital differences in diagnostic work-up strategies.
View Article and Find Full Text PDFAJR Am J Roentgenol
December 2024
Department of Radiology, Research Institute of Radiology, Asan Medical Center, College of Medicine, University of Ulsan, Seoul, Republic of Korea.
Nonmass lesions (NMLs) on breast ultrasound lack clear definition and encompass a broad range of benign and malignant entities. Given anticipated inclusion of NMLs in the BI-RADS 6th edition, thorough understanding of these lesions will be critical for optimal management. To evaluate interreader agreement for classification of lesions on breast ultrasound as NMLs and to identify imaging features associated with malignancy in these lesions.
View Article and Find Full Text PDFRadiography (Lond)
December 2024
Medical Image Optimisation and Perception Group, Sydney School of Health Sciences, Faculty of Medicine and Health, The University of Sydney, Camperdown, Australia; School of Health Sciences, Western Sydney University, Campbelltown, Australia.
Introduction: The impact of previous screening mammograms on radiographers' performance in mammography interpretation is unknown. This study assesses the impact that previous screening mammograms has on radiographers' interpretation of mammograms.
Methods: Thirteen Australian radiographers working for the national breast screening service independently interpreted a mammography test-set containing mammograms of 28 women based on the Royal Australian and New Zealand College of Radiologists' classification.
Life (Basel)
November 2024
Department of Radiology, Seoul Saint Mary's Hospital, College of Medicine, The Catholic University of Korea, Seoul 06591, Republic of Korea.
This study evaluates the potential of an AI-based computer-aided detection (AI-CAD) system in digital mammography for predicting pathologic complete response (pCR) in breast cancer patients after neoadjuvant chemotherapy (NAC). A retrospective analysis of 132 patients who underwent NAC and surgery between January 2020 and December 2022 was performed. Pre- and post-NAC mammograms were analyzed using conventional CAD and AI-CAD systems, with negative exams defined by the absence of marked abnormalities.
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