Acceptability of de-intensified screening for women at low risk of breast cancer: a randomised online experimental survey.

BACKGROUND: Risk-stratified approaches to breast screening show promise for increasing benefits and reducing harms. But the successful implementation of such an approach will rely on public acceptability. To date, research suggests that while increased screening for women at high risk will be acceptable, any de-intensification of screening for low-risk groups may be met with less enthusiasm. We report findings from a population-based survey of women in England, approaching the age of eligibility for breast screening, to compare the acceptability of current age-based screening with two hypothetical risk-adapted approaches for women at low risk of breast cancer. METHODS: An online survey of 1,579 women aged 40-49 with no personal experience of breast cancer or mammography. Participants were recruited via a market research panel, using target quotas for educational attainment and ethnic group, and were randomised to view information about (1) standard NHS age-based screening; (2) a later screening start age for low-risk women; or (3) a longer screening interval for low-risk women. Primary outcomes were cognitive, emotional, and global acceptability. ANOVAs and multiple regression were used to compare acceptability between groups and explore demographic and psychosocial factors associated with acceptability. RESULTS: All three screening approaches were judged to be acceptable on the single-item measure of global acceptability (mean score > 3 on a 5-point scale). Scores for all three measures of acceptability were significantly lower for the risk-adapted scenarios than for age-based screening. There were no differences between the two risk-adapted scenarios. In multivariable analysis, higher breast cancer knowledge was positively associated with cognitive and emotional acceptability of screening approach. Willingness to undergo personal risk assessment was not associated with experimental group. CONCLUSION: We found no difference in the acceptability of later start age vs. longer screening intervals for women at low risk of breast cancer in a large sample of women who were screening naïve. Although acceptability of both risk-adapted scenarios was lower than for standard age-based screening, overall acceptability was reasonable. The positive associations between knowledge and both cognitive and emotional acceptability suggests clear and reassuring communication about the rationale for de-intensified screening may enhance acceptability.

Meta-analysis and systematic review of the diagnostic value of contrast-enhanced spectral mammography for the detection of breast cancer.

OBJECTIVE: The objective is to evaluate the diagnostic effectiveness of contrast-enhanced spectral mammography (CESM) in the diagnosis of breast cancer. DESIGN: DATA SOURCES: PubMed, Embase and Cochrane libraries up to 18 June 2022. ELIGIBILITY CRITERIA FOR SELECTING STUDIES: We included trials studies, compared the results of different researchers on CESM in the diagnosis of breast cancer, and calculated the diagnostic value of CESM for breast cancer. DATA EXTRACTION AND SYNTHESIS: Quality Assessment of Diagnostic Accuracy Studies-2 (QUADAS-2) evaluated the methodological quality of all the included studies. The study followed the Preferred Reporting Items for Systematic Reviews and Meta-Analyses specification. In addition to sensitivity and specificity, other important parameters were explored in an analysis of CESM accuracy for breast cancer diagnosis. For overall accuracy estimation, summary receiver operating characteristic curves were calculated. STATA V.14.0 was used for all analyses. RESULTS: This meta-analysis included a total of 12 studies. According to the summary estimates for CESM in the diagnosis of breast cancer, the pooled sensitivity and specificity were 0.97 (95% CI 0.92 to 0.98) and 0.76 (95% CI 0.64 to 0.85), respectively. Positive likelihood ratio was 4.03 (95% CI 2.65 to 6.11), negative likelihood ratio was 0.05 (95% CI 0.02 to 0.09) and the diagnostic odds ratio was 89.49 (95% CI 45.78 to 174.92). Moreover, there was a 0.95 area under the curve. CONCLUSIONS: The CESM has high sensitivity and good specificity when it comes to evaluating breast cancer, particularly in women with dense breasts. Thus, provide more information for clinical diagnosis and treatment.

Correlations of Imaging and Therapy in Breast Cancer Based on Molecular Patterns: An Important Issue in the Diagnosis of Breast Cancer.

Breast cancer is a global health issue affecting countries worldwide, imposing a significant economic burden due to expensive treatments and medical procedures, given the increasing incidence. In this review, our focus is on exploring the distinct imaging features of known molecular subtypes of breast cancer, underlining correlations observed in clinical practice and reported in recent studies. The imaging investigations used for assessment include screening modalities such as mammography and ultrasonography, as well as more complex investigations like MRI, which offers high sensitivity for loco-regional evaluation, and PET, which determines tumor metabolic activity using radioactive tracers. The purpose of this review is to provide a better understanding as well as a revision of the imaging differences exhibited by the molecular subtypes and histopathological types of breast cancer.

Integrated and Interoperable Platform for Detecting Masses on Mammograms.

The screening and diagnosis of breast cancer is a major public health issue. Although deep learning models are proving highly effective in breast imaging, these models are not yet readily accessible to a wide audience. In order to promote the widespread dissemination of such models, this article introduces a free and open-source, integrated platform for the automated detection of masses on mammograms. A state-of-the-art RetinaNet model is trained on this task and the results of the inference are encoded using the DICOM-SR interoperable format. These contributions present a significant step towards overcoming the accessibility gap in deep learning for breast imaging.

Evaluating acute nipple inversion, imaging findings and outcomes.

PURPOSE: Acute nipple inversion can be unsettling for patients and is sometimes associated with an underlying breast malignancy. It also poses a diagnostic challenge with lack of consensus management guidelines. This study reviewed institutional experience with new nipple inversion, including malignant association, imaging utilization, and outcomes, in an effort to improve management. METHODS: A multisite institutional retrospective review was conducted of all breast imaging reports from 1/2010 to 6/2022 mentioning nipple inversion as an indication or finding. Patients with new nipple inversion, defined as arising since the time of last breast imaging exam or if reported as new by the patient/provider, were included for analysis. Retroareolar imaging findings, BI-RADS assessments/recommendations, pathology obtained from percutaneous or excisional biopsies, and follow-up imaging and clinical exams were collated. Cases of chronic or stable nipple inversion were excluded. Descriptive statistics were performed. RESULTS: A total of 414 patients had new nipple inversion, 387/414 (93.5 %) with benign or negative results at initial imaging and 27/414 (6.5 %) with malignant lesions. Diagnostic mammography/ultrasound detected 25/27 (92.6 %) cancers (sensitivity 92.6 %, specificity 75.5 %, PPV 20.8 %, NPV 99.3 %). Of 62 breast MRI exams performed in patients with negative mammogram/ultrasound, no cancers were detected in the retroareolar space with 2 incidental malignant lesions discovered distant from the nipple. CONCLUSION: Diagnostic mammography/ultrasound is reliable in workups of acute nipple inversion, with a high sensitivity and NPV for excluding malignancy. Breast MRI and surgical referral should be reserved for patients with suspicious associated symptoms or clinical findings.

Addressing Breast Cancer Equity Through Virtual Community Oncology Navigation and Engagement (vCONET).

BACKGROUND: Breast cancer remains a leading cause of cancer morbidity and mortality worldwide. In the United States, Black women face significant disparities in screening mammograms, experience higher rates of breast cancer at advanced stages, and are more likely to die from the disease. AIMS: This study aimed to develop and beta-test a virtual health navigation program to enhance breast cancer care within the Black community. We identified barriers to utilizing virtual patient navigators and factors impacting the adoption of virtual navigation for breast cancer information among Black women. METHODS: The vCONET (Virtual Community Oncology Navigation and Engagement) intervention was delivered through the Second Life virtual platform. The informational content was collaboratively developed with community members. Participants engaged in an informational session on risk factors, mammography information, and preventive behaviors. Surveys (n = 18) and focus groups (n = 9) assessed knowledge and insights into perceptions. RESULTS: Findings revealed a positive impact of the intervention, with participants expressing increased knowledge and willingness to seek further information about breast cancer prevention, and highlighted the engaging nature of the virtual environment, while acknowledging potential technological challenges. CONCLUSION: Virtual health navigation shows promise in addressing breast cancer disparities by promoting awareness among Black women. Future efforts should optimize virtual navigation approaches through collaborative engagement for lasting impact, enhancing breast cancer care and equity in communities of color.

Pain Experience and Image Quality with Curved versus Standard Compression for Breast Cancer Screening Mammography: A Randomized Controlled Trial.

Background A curve-shaped compression paddle could reduce the pain experienced by some women at breast cancer screening. Purpose To compare curved and standard compression systems in terms of pain experience and image quality in mammography screening. Materials and Methods In this randomized controlled trial conducted between October 2021 and February 2022, participants screened at three screening sites in the Netherlands were randomized to either a curved-paddle or sham-paddle group. The sham paddle was a standard paddle that was presented as a new paddle. At a standard screening examination, one additional image was acquired with a curved or sham paddle. Pain was measured on a numerical rating scale (range, 0-10). Participants provided a pain score after compression with the standard and test paddles, resulting in two scores per participant. Differences in pain scores were compared between groups using analysis of covariance, adjusting for pain score after standard-paddle compression. Two radiographers and two radiologists performed unblinded paired comparisons of curved-paddle vs standard-paddle images, using standard image quality criteria (radiographers evaluated 1246 image pairs using 12 criteria; radiologists evaluated 320 image pairs using six criteria). The one-sample Wilcoxon signed-rank test was used to determine if there was a significant preference for either paddle. Results In total, 2499 female participants (mean age, 61.6 years ± 7.1 [SD]) were studied; 1250 in the curved-paddle group and 1249 in the sham-paddle group. The mean pain score decreased by an additional 0.19 points in the curved-paddle group compared with the sham-paddle group (95% CI: 0.09, 0.28; P < .001). In terms of image quality, the observers showed no preference or a preference for the standard paddle. Decreased image contrast (range Bonferroni-corrected P values: P < .001 to P > .99) and visibility of structures were the main concerns for curved-paddle images. Conclusion The use of the curved paddle resulted in a minimal pain reduction during mammography breast compression but image quality was reduced. © RSNA, 2024 Supplemental material is available for this article.

A New Approach to Breast Specimen Orientation: Avoiding Pitfalls with the Specimen Plate Concept.

Accurate specimen marking is crucial during breast cancer surgery to avoid misorientation, which can lead to inadequate re-excision and tumor recurrence. We studied the marking methods at various breast cancer centers to create a tool that would prevent specimen misorientation. An online questionnaire was used to survey marking procedures at major breast cancer centers in Hungary, and a tool was developed using a troubleshooting method. Twelve out of twenty units responded (60%). Nine use an institutionally standardized marking system. Less than half of the surgical teams found specimen mammograms to be unambiguous. In more than 70% of departments, pathologists were uncertain about breast specimen orientation. Ambiguous marking methods caused orientation errors in half of the cases, while unclear marking directions caused the rest. Most pathologists (85%) and surgeons (75%) believed that coronal plane specimen mammography would help solve the problem. A plastic specimen plate has been developed to anchor breast tissue to a coronal breast scheme as seen in mammography images, providing clear localization information throughout the surgical process. There is a lack of standardization in breast specimen orientation and marking in Hungary. An optimized orientation toolkit is being developed to ensure consistent interpretation of specimen mammograms by surgeons and pathologists.

Accuracy of an Artificial Intelligence System for Interval Breast Cancer Detection at Screening Mammography.

Background Artificial intelligence (AI) systems can be used to identify interval breast cancers, although the localizations are not always accurate. Purpose To evaluate AI localizations of interval cancers (ICs) on screening mammograms by IC category and histopathologic characteristics. Materials and Methods A screening mammography data set (median patient age, 57 years [IQR, 52-64 years]) that had been assessed by two human readers from January 2011 to December 2018 was retrospectively analyzed using a commercial AI system. The AI outputs were lesion locations (heatmaps) and the highest per-lesion risk score (range, 0-100) assigned to each case. AI heatmaps were considered false positive (FP) if they occurred on normal screening mammograms or on IC screening mammograms (ie, in patients subsequently diagnosed with IC) but outside the cancer boundary. A panel of consultant radiology experts classified ICs as normal or benign (true negative [TN]), uncertain (minimal signs of malignancy [MS]), or suspicious (false negative [FN]). Several specificity and sensitivity thresholds were applied. Mann-Whitney U tests, Kruskal-Wallis tests, and χ2 tests were used to compare groups. Results A total of 2052 screening mammograms (514 ICs and 1548 normal mammograms) were included. The median AI risk score was 50 (IQR, 32-82) for TN ICs, 76 (IQR, 41-90) for ICs with MS, and 89 (IQR, 81-95) for FN ICs (P = .005). Higher median AI scores were observed for invasive tumors (62 [IQR, 39-88]) than for noninvasive tumors (33 [IQR, 20-55]; P < .01) and for high-grade (grade 2-3) tumors (62 [IQR, 40-87]) than for low-grade (grade 0-1) tumors (45 [IQR, 26-81]; P = .02). At the 96% specificity threshold, the AI algorithm flagged 121 of 514 (23.5%) ICs and correctly localized the IC in 93 of 121 (76.9%) cases, with 48 FP heatmaps on the mammograms for ICs (rate, 0.093 per case) and 74 FP heatmaps on normal mammograms (rate, 0.048 per case). The AI algorithm correctly localized a lower proportion of TN ICs (54 of 427; 12.6%) than ICs with MS (35 of 76; 46%) and FN ICs (four of eight; 50% [95% CI: 13, 88]; P < .001). The AI algorithm localized a higher proportion of node-positive than node-negative cancers (P = .03). However, no evidence of a difference by cancer type (P = .09), grade (P = .27), or hormone receptor status (P = .12) was found. At 89.8% specificity and 79% sensitivity thresholds, AI detection increased to 181 (35.2%) and 256 (49.8%) of the 514 ICs, respectively, with FP heatmaps on 158 (10.2%) and 307 (19.8%) of the 1548 normal mammograms. Conclusion Use of a standalone AI system improved early cancer detection by correctly identifying some cancers missed by two human readers, with no differences based on histopathologic features except for node-positive cancers. © RSNA, 2024 Supplemental material is available for this article.

Diagnostic Accuracy of Mammographic Findings in Patients 35 Years and Older Presenting with Palpable Breast Lump in University of Benin Teaching Hospital, Benin City.

BACKGROUND: Mammography has become an invaluable tool for diagnosing breast lesions and detecting early breast cancer in women of 35 years and above. AIMS: To correlate the mammography Breast Imaging Reporting and Data System (BI-RADS) categories with the histology in breast lesions and to determine the predictive values, sensitivity, specificity and accuracy of mammography. PATIENTS AND METHOD: This was a one- year prospective study carried out from March 2015 to February 2016. Consecutive female patients of 35 years and above with breast lesions at the University of Benin Teaching Hospital, Benin-City were recruited. Patients with fungating breast lesions and those who declined recruitment were excluded. All patients had mammography and core biopsy of the breast lesion which was examined histologically. RESULTS: A total of 101 patients were studied. Five patients had bilateral breast lesions making a total of 106 biopsies that were performed. The mean age of patients with benign breast disease was 47.0 ± 4.9 years while those with malignant breast disease was 49.9 ± 8.5 years; P-value was 0.080 which was not statistically significant. Fibrocystic disease 6 (5.6%) was the most common benign disease while invasive ductal carcinoma was the most common malignant breast disease 84(79.2%). BI-RADS 5 correlated mostly with malignant breast disease (97.0%); P value < 0.001 and was statistically significant. CONCLUSION: This study showed that mammography is useful in the diagnosis of breast lesions in women who are 35 years and older. Patients with BI-RADS category 3, 4 and 5 had an increasing correlation with malignant breast disease.

CONTEXTE: La mammographie est devenue un outil inestimable pour diagnostiquer les lésions mammaires et détecter précocement le cancer du sein chez les femmes de 35 ans et plus. OBJECTIFS: Corréler les catégories du Breast Imaging Reporting and Data System (BI-RADS) de la mammographie avec l'histologie des lésions mammaires et déterminer les valeurs prédictives, la sensibilité, la spécificité et la précision de la mammographie. PATIENTES ET MÉTHODE: Il s'agit d'une étude prospective d'un an réalisée de mars 2015 à février 2016. Les patientes consécutives de 35 ans et plus présentant des lésions mammaires à l'Hôpital Universitaire de Benin, à Benin-City, ont été recrutées. Les patientes présentant des lésions mammaires fungiques et celles qui ont refusé de participer à l'étude ont été exclues. Toutes les patientes ont subi une mammographie et une biopsie au trocart de la lésion mammaire, qui a été examinée histologiquement. RÉSULTATS: Un total de 101 patientes ont été étudiées. Cinq patientes présentaient des lésions mammaires bilatérales, soit un total de 106 biopsies réalisées. L'âge moyen des patientes atteintes de maladie mammaire bénigne était de 47,0 ± 4,9 ans, tandis que celui des patientes atteintes de maladie mammaire maligne était de 49,9 ± 8,5 ans ; la valeur P était de 0,080, ce qui n'était pas statistiquement significatif. La maladie fibrokystique 6 (5,6%) était la maladie bénigne la plus fréquente, tandis que le carcinome canalaire infiltrant était la maladie mammaire maligne la plus fréquente 84 (79,2%). Le BIRADS 5 corrélait principalement avec les maladies mammaires malignes (97,0%) ; la valeur P était < 0,001 et était statistiquement significative. CONCLUSION: Cette étude a montré que la mammographie est utile dans le diagnostic des lésions mammaires chez les femmes de 35 ans et plus. Les patientes ayant des catégories BI-RADS 3, 4 et 5 présentaient une corrélation croissante avec les maladies mammaires malignes. MOTS-CLÉS: Mammographie, Lésion mammaire féminine, Histologie, Corrélation, Précision diagnostique.

Initial interpretation scores of screening mammograms and cancer detection in BreastScreen Norway.

PURPOSE: To explore the association between radiologists' interpretation scores, early performance measures and cumulative reading volume in mammographic screening. METHOD: We analyzed 1,689,731 screening examinations (3,379,462 breasts) from BreastScreen Norway 2012-2020, all breasts scored 1-5 by two independent radiologists. Score 1 was considered negative/benign and score ≥2 positive in this scoring system. We performed descriptive analyses of recall, screen-detected cancer, positive predictive value (PPV) 1, mammographic features and histopathological characteristics by breast-based interpretation scores, and cumulative reading volume by examination-based interpretation scores. RESULTS: Counting breasts and not women, 3.9 % (132,570/3,379,462) had a score of ≥2 by one or both radiologists. Of these, 84.8 % (112,440/132,570) were given a maximum score 2. Total recall rate was 1.6 % (53,735/3,379,462), 69.3 % (37,220/53,735) given maximum score 2. Among the 0.3 % (9733/3,379,462) diagnosed with screen-detected cancer, 34.6 % (3369/9733) had maximum score 3. The percentages of recall, screen-detected cancer and PPV-1 increased by increasing the sum of scores assigned by two radiologists (p < 0.001 for trend). Higher proportions of masses were observed among recalls and screen-detected cancers with low scores, and higher proportions of spiculated masses were observed for high scores (p < 0.001). Proportions of invasive carcinoma, histological grade 3 and lymph node positive tumors were higher for high versus low scores (p < 0.001). The proportion of examinations scored 1 increased by cumulative reading volume. CONCLUSIONS: We observed higher rates of recall and screen-detected cancer and less favorable histopathological tumor characteristics for high versus low interpretation scores. However, a considerable number of recalls and screen-detected cancers had low interpretation scores.

National diagnostic reference levels for digital diagnostic and screening mammography in Uganda.

INTRODUCTION: Screening and diagnostic mammography are associated with some risk of radiation-induced breast cancer. This study was conducted to establish the National Diagnostic Reference Levels (NDRLs) for digital diagnostic and screening mammography in Uganda to achieve breast radiation dose optimization. METHODS: A cross-sectional study was conducted among female participants recruited by consecutive sampling from three selected hospitals with digital mammography in Uganda. The study variables extracted from the mammography machines were exposure factors, compressed breast thickness (CBT), and Average Glandular Dose (AGD) of two standard mammogram views. The stratified National DRL was derived by calculating the 75th percentile of the AGD across all the samples at various CBT ranges for both screening and diagnostic mammography in craniocaudal (CC) and mediolateral oblique (MLO) views. RESULTS: We included 300 participants with mean ages of 50.28±9.32 and 47.45±13.45 years for the screening and diagnostic mammography, respectively. There were statistically significant positive correlations between AGD and exposure factors (mAs, kVp) (all p-values<0.0001). For screening mammography, mAs demonstrated a strong positive correlation (r = 0.8369 in CC, 0.8133 in MLO), whereas kVp showed a positive correlation with relatively lower coefficients (r = 0.3700 in CC, 0.3080 in MLO). For diagnostic mammography, mAs exhibited an even stronger positive correlation (r = 0.8987 in CC, 0.8762 in MLO), and kVp maintained a positive correlation with somewhat lower coefficients (r = 0.4954 in CC, 0.3597 in MLO). In screening mammography, for CBT within the range of (7-39) mm, the NDRLs were (1.5mGy, 1.66mGy) in CC) and MLO views. For CBT in the range of (40-59) mm, the NDRLs were (1.78mGy, 1.87mGy), and for CBT in the range of (60-99) mm, the NDRLs were (2.18mGy, 2.22mGy). For diagnostic mammography, the NDRLs were established as (1.7mGy, 1.91mGy), (2.00mGy, 2.09mGy), and (2.63mGy, 2.81mGy) for CBT ranges of (7-39) mm, (40-59) mm, and (60-99) mm, respectively. CONCLUSION: The NDRLs for digital screening and diagnostic mammography in Uganda have been proposed for the first time. The NDRL values in mammography should be specific to CBT ranges and mammographic views for both diagnostic and screening mammography.

The use of text messages as an alternative invitation method for breast cancer screening: A randomized controlled trial (M-TICS study).

This study aimed to determine whether a text message is as good as a postal letter as an invitation method for previous screenees in a breast cancer screening program, considering a non-inferiority margin of -2 percent points on participation rate. A non-inferiority randomized control trial was conducted. Women in the intervention group (n = 5,362) were invited by text message, and women in the control group (n = 5,482) were invited by letter, which is the standard invitation procedure of the program. In both groups, the invitation included a fixed appointment for mammography and a text message reminder 96 hours before the appointment. The primary outcome was screening participation rate (completing mammography within 12 weeks of invitation). Secondary outcomes included mammography attendance to initial or rescheduled appointments and cancellation rate. The intention-to-treat analysis showed a participation rate of 87.3% and 86.6% in the control and intervention groups, respectively. The difference in participation rate was -0.7 percentage points (95% confidence interval [CI], -1.8 to ∞), indicating non-inferiority of text messages compared to letter invitations. The per-protocol analysis showed similar results. Attendance at the initial appointment was higher in women who received the text message invitation compared to those in the control group (P<0.002). Women who received the invitation by letter canceled more the initial appointment scheduled compared to the text message group (21.1% and 15.1%, P<0.007). In conclusion, we found that a text message invitation for women who had previously participated in breast cancer screening was not inferior to the standard letter. This randomized controlled trial provides valuable insights into the use of alternative invitation methods for population-based cancer screening programs. However, further research is needed to determine the best timing and frequency of text messages for better outcomes and identify strategies for facilitating rescheduling or cancellation. Trial Registration: Clinicaltrials.gov NCT04343950, (04/09/2020).

Comparison of AI-integrated pathways with human-AI interaction in population mammographic screening for breast cancer.

Artificial intelligence (AI) readers of mammograms compare favourably to individual radiologists in detecting breast cancer. However, AI readers cannot perform at the level of multi-reader systems used by screening programs in countries such as Australia, Sweden, and the UK. Therefore, implementation demands human-AI collaboration. Here, we use a large, high-quality retrospective mammography dataset from Victoria, Australia to conduct detailed simulations of five potential AI-integrated screening pathways, and examine human-AI interaction effects to explore automation bias. Operating an AI reader as a second reader or as a high confidence filter improves current screening outcomes by 1.9-2.5% in sensitivity and up to 0.6% in specificity, achieving 4.6-10.9% reduction in assessments and 48-80.7% reduction in human reads. Automation bias degrades performance in multi-reader settings but improves it for single-readers. This study provides insight into feasible approaches for AI-integrated screening pathways and prospective studies necessary prior to clinical adoption.

Budget impact analysis of introducing digital breast tomosynthesis in breast cancer screening in Italy.

PURPOSE: This study quantifies the impact on budget and cost per health benefit of implementing digital breast tomosynthesis (DBT) in place of digital mammography (DM) for breast cancer screening among asymptomatic women in Italy. METHODS: A budget impact analysis and a cost consequence analysis were conducted using parameters from the MAITA project and literature. The study considered four scenarios for DBT implementation, i.e., DBT for all women, DBT for women aged 45-49 years, DBT based on breast density (BI-RADS C + D or D only), and compared these to the current DM screening. Healthcare provider's perspective was adopted, including screening, diagnosis, and cancer treatment costs. RESULTS: Introducing DBT for all women would increase overall screening costs by 20%. Targeting DBT to women aged 45-49 years or with dense breasts would result in smaller cost increases (3.2% for age-based and 1.4-10.7% for density-based scenarios). The cost per avoided interval cancer was significantly higher when DBT was applied to all women compared to targeted approaches. The cost per gained early-detected cancer slightly increases in targeted approaches, while the assumptions on the clinical significance and overdiagnosis of cancers detected by DBT and not by DM have a strong impact. CONCLUSIONS: Implementing DBT as a primary breast cancer test in screening programs in Italy would lead to a substantial increase in costs. Tailoring DBT use to women aged 45-49 or with dense breasts could enhance the feasibility and sustainability of the intervention. Further research is needed to clarify the impact of DBT on overdiagnosis and the long-term outcomes.