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1.
BMJ Case Rep ; 17(8)2024 Aug 16.
Article de Anglais | MEDLINE | ID: mdl-39153762

RÉSUMÉ

Granular cell tumours (GCT) of the breast have similar clinical and radiological features to breast carcinomas. We present a case of a female patient with a tender, palpable lump, and associated skin changes. Imaging of the lesion was suspicious of malignancy. Initial histological examination showed uniform sheets of polygonal cells with abundant granular cytoplasm, and follow-up immunohistochemistry showed strongly positive staining of tumour cells with S100 and CD68, confirming the diagnosis of GCT. Wide local excision with complete resection margins was performed as a curative treatment for this lesion. This case report highlights the importance of considering GCTs in the differential diagnoses of breast lesions suspicious of malignancy and emphasises the necessity of accurate diagnosis of GCT for proper treatment.


Sujet(s)
Tumeurs du sein , Tumeur à cellules granuleuses , Humains , Femelle , Tumeur à cellules granuleuses/anatomopathologie , Tumeur à cellules granuleuses/chirurgie , Tumeur à cellules granuleuses/imagerie diagnostique , Tumeur à cellules granuleuses/diagnostic , Tumeurs du sein/anatomopathologie , Tumeurs du sein/diagnostic , Tumeurs du sein/chirurgie , Diagnostic différentiel , Immunohistochimie , Adulte , Mammographie , Protéines S100/analyse , Protéines S100/métabolisme , Région mammaire/anatomopathologie , Région mammaire/imagerie diagnostique , Adulte d'âge moyen
2.
Cancer Med ; 13(16): e7444, 2024 Aug.
Article de Anglais | MEDLINE | ID: mdl-39192606

RÉSUMÉ

BACKGROUND: Delays in detection and treatment of breast cancer can lead to increased mortality. To date, participation in organized breast cancer screenings (OBCS) has been suboptimal worldwide. The objective of this study was to investigate the factors associated with deferral or non-performance of mammography during the COVID-19 pandemic for women who had previously participated in OBCS. METHODS: A retrospective observational study was conducted on a cohort of 6282 women from the Aube Department of France, who were invited to an OBCS in 2020. Participants were divided into women who promptly underwent screening after receiving an invitation (between 22 and 25 months elapsed since the last mammogram), women who underwent late screening (≥26 months since the last mammogram), and those who were never screened. Data were collected from a self-reported questionnaire. Comparative and multivariable analyses modeling the probability of each type of attendance were performed using these data. RESULTS: In total, 2301 women (aged 50-74 years) returned a valid questionnaire. Compared to women who promptly underwent mammography, non- and late-screening participants were younger, had less frequent gynecological follow-up and a less frequent history of colorectal cancer screening. Women with higher education status and those residing in socially disadvantaged areas were more likely to attend late. CONCLUSION: The absence of regular gynecological follow-up and the absence of colorectal cancer screening were significant factors associated with deferral of or non-attendance at OBCS.


Sujet(s)
Tumeurs du sein , Dépistage précoce du cancer , Mammographie , Sujet âgé , Femelle , Humains , Adulte d'âge moyen , Tumeurs du sein/diagnostic , Tumeurs du sein/épidémiologie , COVID-19 , Dépistage précoce du cancer/statistiques et données numériques , Dépistage précoce du cancer/méthodes , France/épidémiologie , Mammographie/statistiques et données numériques , Dépistage de masse/statistiques et données numériques , Dépistage de masse/méthodes , Pandémies , Études rétrospectives
3.
Curr Oncol ; 31(8): 4589-4598, 2024 Aug 10.
Article de Anglais | MEDLINE | ID: mdl-39195325

RÉSUMÉ

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.


Sujet(s)
Tumeurs du sein , Manipulation d'échantillons , Humains , Femelle , Tumeurs du sein/chirurgie , Manipulation d'échantillons/méthodes , Mammographie/méthodes , Enquêtes et questionnaires , Hongrie , Région mammaire/chirurgie , Région mammaire/imagerie diagnostique
4.
Eur J Radiol ; 179: 111662, 2024 Oct.
Article de Anglais | MEDLINE | ID: mdl-39159548

RÉSUMÉ

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.


Sujet(s)
Tumeurs du sein , Dépistage précoce du cancer , Mammographie , Humains , Femelle , Norvège/épidémiologie , Tumeurs du sein/imagerie diagnostique , Mammographie/méthodes , Adulte d'âge moyen , Sujet âgé , Dépistage de masse/méthodes , Compétence clinique , Adulte
5.
Rev Med Inst Mex Seguro Soc ; 62(1): 1-7, 2024 Jan 08.
Article de Espagnol | MEDLINE | ID: mdl-39106348

RÉSUMÉ

Background: In Mexico and the world, breast cancer is the cancer type with the highest incidence and mortality for women. Its incidence has increased due to a higher life expectancy and a higher exposure to risk factors. Screening is done by mammography using the BIRADS (Breast Imaging Reporting and Data System) system, the standard for mammography screening report which classifies lesions assigning recommendations for patient follow-up. The system goes from 0 (not conclusive) to 6 (demonstrated malignancy), being of interest for this study the BIRADS 0 category. Objective: To describe patients classified as BIRADS 0 by mammography and their reclassification in a first-level hospital during 2021. Material and methods: Retrospective, descriptive, cross-sectional, observational study. Women over 40 years with a BIRADS 0 result were studied. The following databases were used: Institutional Cancer Registry, Family Medicine Information System, Electronic Clinical File, and the mammography and patient list from preventive medicine. Results: Reclassification by ultrasound (US) was achieved in 100% of patients, in all of the BIRADS US categories. In 3.8% of BIRADS 0 patients, ductal adenocarcinoma was found and confirmed by histological testing. Conclusion: All of the reassessed lesions with US were adequately reclassified.


Introducción: en México y el mundo, el cáncer de mama causa la mayor mortalidad por cáncer en mujeres. Su incidencia ha incrementado por una mayor esperanza de vida y exposición a factores de riesgo. El tamizaje de esta enfermedad se hace mediante mastografía, y para la estratificación de las lesiones se utiliza el sistema BIRADS (Breast Imaging Reporting and Data System), que estandariza el informe, categoriza las lesiones según el grado de sospecha y asigna recomendaciones a seguir. Dicho sistema va desde 0 (no concluyente) hasta 6 (lesión con malignidad demostrada) y es de interés para este estudio la categoría 0. Objetivo: describir la reclasificación de pacientes con reporte BIRADS 0 por mastografía durante 2021 en una unidad de primer nivel de atención. Material y métodos: estudio retrospectivo, descriptivo, transversal, observacional. Se estudiaron mujeres mayores de 40 años con resultado BIRADS 0. Se utilizaron las siguientes bases de datos: Registro Institucional de Cáncer, Sistema de Información de Medicina Familiar, Expediente Clínico Electrónico y lista nominal de mastografías y censo de pacientes sospechosos de medicina preventiva. Resultados: la reclasificación con ultrasonido (US) se logró en el 100% de pacientes, en todas las categorías de BIRADS US. En el 3.8% se confirmó carcinoma ductal por histología en las pacientes inicialmente categorizadas como BIRADS 0. Conclusiones: la totalidad de lesiones reevaluadas con US fueron reclasificadas satisfactoriamente.


Sujet(s)
Tumeurs du sein , Mammographie , Humains , Études transversales , Femelle , Études rétrospectives , Tumeurs du sein/imagerie diagnostique , Tumeurs du sein/diagnostic , Tumeurs du sein/classification , Mammographie/normes , Adulte d'âge moyen , Adulte , Sujet âgé , Mexique , Échographie mammaire , Sujet âgé de 80 ans ou plus , Dépistage précoce du cancer/méthodes , Dépistage précoce du cancer/normes
6.
Cancer Control ; 31: 10732748241266491, 2024.
Article de Anglais | MEDLINE | ID: mdl-39092882

RÉSUMÉ

BACKGROUND: Despite the relatively low breast cancer incidence in Estonia, mortality remains high, and participation in mammography screening is below the recommended 70%. The objective of this register-based study was to evaluate incidence-based (IB) breast cancer mortality before and after the introduction of organized mammography screening in 2004. METHODS: Breast cancer deaths individually linked to breast cancer diagnosis were obtained from the Estonian Cancer Registry and used for calculating IB mortality. We compared age-specific IB mortality rates across 5-year birth cohorts and 5-year periods. Poisson regression was used to compare IB mortality for one age group invited to screening (50-63) and three age groups not invited to screening (30-49, 65-69, and 70+) during two periods before and after screening initiation (1993-2003 and 2004-2014). Joinpoint regression was used for age-standardized incidence and IB mortality trends. RESULTS: Age-standardized IB mortality has been decreasing since 1997. Age-specific IB mortality for birth cohorts never exposed to screening showed a continuous increase with age, while in cohorts exposed to organized screening the mortality curve flattened or declined after the age of first invitation. Significant decreases in mortality from 1993-2003 to 2004-2014 were seen in the 30-49 (age-adjusted rate ratio 0.51, 95% CI 90.42-0.63) and 50-63 (0.65, 95% CI 0.56-0.74) age groups, while no decline was seen in the 65-69 and 70+ age groups. CONCLUSIONS: The age specific IB mortality curves in birth cohorts exposed to screening and the significant mortality decline in the target age group after the initiation of the organized program suggest a beneficial effect of screening. Improved treatment without screening has not reduced mortality in older age groups. Our results support raising the upper screening age limit to 74 years.


Sujet(s)
Tumeurs du sein , Dépistage précoce du cancer , Mammographie , Enregistrements , Humains , Estonie/épidémiologie , Femelle , Tumeurs du sein/mortalité , Tumeurs du sein/imagerie diagnostique , Tumeurs du sein/épidémiologie , Tumeurs du sein/diagnostic , Adulte d'âge moyen , Sujet âgé , Incidence , Dépistage précoce du cancer/méthodes , Adulte , Dépistage de masse/méthodes , Facteurs âges
7.
BMC Med Imaging ; 24(1): 205, 2024 Aug 07.
Article de Anglais | MEDLINE | ID: mdl-39112928

RÉSUMÉ

In order to increase the likelihood of obtaining treatment and achieving a complete recovery, early illness identification and diagnosis are crucial. Artificial intelligence is helpful with this process by allowing us to rapidly start the necessary protocol for treatment in the early stages of disease development. Artificial intelligence is a major contributor to the improvement of medical treatment for patients. In order to prevent and foresee this problem on the individual, family, and generational levels, Monitoring the patient's therapy and recovery is crucial. This study's objective is to outline a non-invasive method for using mammograms to detect breast abnormalities, classify breast disorders, and identify cancerous or benign tumor tissue in the breast. We used classification models on a dataset that has been pre-processed so that the number of samples is balanced, unlike previous work on the same dataset. Identifying cancerous or benign breast tissue requires the use of supervised learning techniques and algorithms, such as random forest (RF) and decision tree (DT) classifiers, to examine up to thirty features, such as breast size, mass, diameter, circumference, and the nature of the tumor (solid or cystic). To ascertain if the tissue is malignant or benign, the examination's findings are employed. These features are mostly what determines how effectively anything may be categorized. The DT classifier was able to get a score of 95.32%, while the RF satisfied a far higher 98.83 percent.


Sujet(s)
Tumeurs du sein , Mammographie , Humains , Tumeurs du sein/imagerie diagnostique , Femelle , Mammographie/méthodes , Algorithmes , Interprétation d'images radiographiques assistée par ordinateur/méthodes , Sensibilité et spécificité , Arbres de décision , Adulte d'âge moyen
10.
BMC Public Health ; 24(1): 2087, 2024 Aug 01.
Article de Anglais | MEDLINE | ID: mdl-39090665

RÉSUMÉ

BACKGROUND: Breast cancer remains a pervasive threat to women worldwide, with increasing incidence rates necessitating effective screening strategies. Timely detection with mammography has emerged as the primary tool for mass screening. This retrospective study, which is part of the Chiraiya Project, aimed to evaluate breast lesion patients identified during opportunistic mammography screening camps in Jammu Province, India. METHODS: A total of 1505 women aged 40 years and older were screened using a mobile mammographic unit over a five-year period, excluding 2020 and 2021 due to the COVID-19 pandemic. The inclusion criterion was women in the specified age group, while the exclusion criterion was women with open breast wounds, history of breast cancer or a history of breast surgery. The screening process involved comprehensive data collection using a detailed Proforma, followed by mammographic assessments conducted within strategically stationed mobile units. Radiological interpretations utilizing the BI-RADS system were performed, accompanied by meticulous documentation of patient demographics, habits, literacy, medical history, and breastfeeding practices. Participants were recruited through collaborations with NGOs, army camps, village panchayats, and urban cooperatives. Screening camps were scheduled periodically, with each camp accommodating 90 patients or fewer. RESULTS: Among the 1505 patients, most were aged 45-50 years. The number of screenings increased yearly, peaking at 441 in 2022. The BI-RADS II was the most common finding (48.77%), indicating the presence of benign lesions, while the BI-RADS 0 (32.96%) required further evaluation. Higher-risk categories (BI-RADS III, IV, V) were less common, with BI-RADS V being the rarest. Follow-up adherence was highest in the BI-RADS III, IV, and V categories, with BI-RADS V achieving 100% follow-up. However, only 320 of 496 BI-RADS 0 patients were followed up, indicating a gap in continuity of care. The overall follow-up rate was 66.89%. Compared to urban areas, rural areas demonstrated greater screening uptake but lower follow-up rates, highlighting the need for tailored interventions to improve follow-up care access, especially in rural contexts. CONCLUSION: This study underscores the efficacy of a mobile mammographic unit in reaching marginalized populations. Adherence to screening protocols has emerged as a linchpin for early detection, improved prognosis, and holistic public health enhancement. Addressing misconceptions surrounding mammographic screenings, especially in rural settings, is crucial. These findings call for intensified efforts in advocacy and education to promote the benefits of breast cancer screening initiatives. Future interventions should prioritize improving access to follow-up care and addressing screening to enhance breast cancer management in Jammu Province.


Sujet(s)
Tumeurs du sein , Dépistage précoce du cancer , Mammographie , Unités sanitaires mobiles , Humains , Femelle , Mammographie/statistiques et données numériques , Inde/épidémiologie , Tumeurs du sein/imagerie diagnostique , Tumeurs du sein/diagnostic , Études rétrospectives , Adulte d'âge moyen , Dépistage précoce du cancer/statistiques et données numériques , Adulte , Sujet âgé , Dépistage de masse/statistiques et données numériques
11.
Rozhl Chir ; 103(7): 269-274, 2024.
Article de Anglais | MEDLINE | ID: mdl-39142853

RÉSUMÉ

INTRODUCTION: Thanks to mammographic screening and the improvement of breast cancer diagnostics, the detection of precancers is also increasing. They are defined as morphological changes of the mammary gland which are more likely to cause cancer. The evaluated precancers are atypical ductal hyperplasia (ADH), lobular carcinoma in situ (LCIS) and radial scar. METHODOLOGY: In the period 1. 1. 2018-31. 12. 2022, we performed 1,302 planned operations for breast disease at the Surgical Clinic of Teaching Hospital Plzen, of which 30 (2%) were precancer operations. ADH was confirmed 11×, LCIS 8×, and a radical scar 11×. The average age of the patients in all three groups was 56 years (27-85). Precancer was diagnosed 8× only by sonography, 3× by mammography and 19× by a combination of both methods. Subsequently, a puncture biopsy was always completed. We performed 28 tumor excisions with intraoperative biopsy and 2 mastectomies. RESULTS: In the case of ADH from puncture biopsy, ADH was confirmed intraoperatively 8×, DCIS was diagnosed 2×, and mucinous carcinoma 1×. In LCIS, no tumor was found by intraoperative biopsy 4×, LCIS was confirmed 1×, lobular invasive carcinoma was diagnosed 1×, mastectomy was performed 2× without intraoperative biopsy. In the radial scar, ADH was diagnosed 3×, sclerosing adenosis 6×, DCIS 1×, invasive carcinoma 1×. After the final histological processing of the samples, there was an increase in diagnosed carcinomas. In ADH, DCIS was confirmed 3×, DIC 2×, and mucinous carcinoma 1×. In LCIS, LIC was diagnosed 3×. In the radial scar, DCIS was confirmed 1×, and invasive carcinoma remain 1×. Thus, carcinoma was diagnosed in 11 patients (37%) thanks to the surgical solution. No patient underwent axillary node surgery. All 11 patients subsequently underwent oncological treatment, always a combination of radiotherapy and hormone therapy. All patients are alive, 10 patients are in complete remission of the disease, one with DCIS experienced a local recurrence after 4 years. CONCLUSION: Surgical treatment of precancers of the breast makes sense, DCIS or even invasive cancer is often hidden in addition to precancer. Thanks to the surgical solution, the cancer was detected in time.


Sujet(s)
Tumeurs du sein , États précancéreux , Humains , Femelle , Adulte d'âge moyen , Tumeurs du sein/chirurgie , Tumeurs du sein/anatomopathologie , Tumeurs du sein/imagerie diagnostique , Adulte , Sujet âgé , États précancéreux/chirurgie , États précancéreux/anatomopathologie , États précancéreux/imagerie diagnostique , Sujet âgé de 80 ans ou plus , Carcinome intracanalaire non infiltrant/chirurgie , Carcinome intracanalaire non infiltrant/anatomopathologie , Carcinome intracanalaire non infiltrant/imagerie diagnostique , Mastectomie , Mammographie
12.
Oncol Nurs Forum ; 51(5): 483-496, 2024 Aug 15.
Article de Anglais | MEDLINE | ID: mdl-39162791

RÉSUMÉ

OBJECTIVES: To understand and describe attitudes toward general health checkups, breast health knowledge, cultural beliefs, and health-promoting behaviors among Myanmar American immigrant women in the United States. SAMPLE & SETTING: 267 women participated in the study. 10 women were excluded because of missing data, so the total sample size was 257 participants. METHODS & VARIABLES: A descriptive, cross-sectional survey design was used to describe and investigate breast health perceptions and behaviors. RESULTS: Nearly 75% of the study sample reported having negative attitudes toward general health checkups and were found to have less accurate breast health knowledge and more fatalistic views about breast cancer. Only 29% of older women adhered to mammogram recommendations. Younger women reported more barriers to mammograms, and older women reported fewer barriers to mammograms. IMPLICATIONS FOR NURSING: This study demonstrated the need for additional research focusing on unique perspectives when investigating breast health practices among Myanmar American immigrant women. The findings highlight the essential need to build a strong partnership with stakeholders to combat breast health disparities and address the complex nature of acculturation.


Sujet(s)
Tumeurs du sein , Émigrants et immigrants , Connaissances, attitudes et pratiques en santé , Mammographie , Humains , Femelle , Adulte , Adulte d'âge moyen , Émigrants et immigrants/psychologie , Émigrants et immigrants/statistiques et données numériques , Études transversales , Tumeurs du sein/ethnologie , Tumeurs du sein/psychologie , États-Unis , Myanmar/ethnologie , Mammographie/statistiques et données numériques , Mammographie/psychologie , Sujet âgé , Connaissances, attitudes et pratiques en santé/ethnologie , Dépistage précoce du cancer/statistiques et données numériques , Dépistage précoce du cancer/psychologie , /psychologie , /statistiques et données numériques , Enquêtes et questionnaires , Jeune adulte , Comportement en matière de santé/ethnologie , Dépistage de masse/statistiques et données numériques , Dépistage de masse/psychologie
15.
Radiology ; 312(2): e232303, 2024 08.
Article de Anglais | MEDLINE | ID: mdl-39189901

RÉSUMÉ

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.


Sujet(s)
Intelligence artificielle , Tumeurs du sein , Dépistage précoce du cancer , Mammographie , Sensibilité et spécificité , Humains , Femelle , Tumeurs du sein/imagerie diagnostique , Mammographie/méthodes , Adulte d'âge moyen , Études rétrospectives , Dépistage précoce du cancer/méthodes , Interprétation d'images radiographiques assistée par ordinateur/méthodes , Région mammaire/imagerie diagnostique , Région mammaire/anatomopathologie , Reproductibilité des résultats
17.
J Obstet Gynaecol ; 44(1): 2393359, 2024 Dec.
Article de Anglais | MEDLINE | ID: mdl-39176454

RÉSUMÉ

BACKGROUND: To assess if implementation of the 2010 Patient Protection and Affordable Care Act (ACA) was associated with changes in the prevalence of women having ever received a pap smear. METHODS: This study utilised the publicly available Centre for Disease Control National Survey of Family Growth (NSFG) data set. This was a serial cross-sectional study. The comparison groups were defined as women who received cancer screening and prevention interventions prior to full implementation of the ACA (2011-2013) and post full implementation (2017-2019). The primary outcome was self-reporting receipt of a Papanicolaou (Pap) smear. Secondary outcomes included HPV vaccination and mammogram rates. Anonymized patient information was collected from the nationally representative dataset, and analyses were performed utilising STATA 18. RESULTS: The two study cohorts obtained from the NSFG included women who responded in 2011-2013 (n = 5601), deemed to be 'Pre-ACA implementation' (Pre ACA), and those who responded in 2017-2019 (n = 6141) 'Post-ACA implementation' (Post ACA). The proportion of women who were 21 years and older and ever had a Pap smear in the Pre ACA group (96.0%) was higher than that of the Post ACA group (94.1%) (OR 0.66 (0.49-0.91)). In contrast, HPV vaccination rates rose, and mammogram rates remained stable in the Post ACA period. CONCLUSION: A decrease in proportion of women ever having had a Pap smear despite implementation of health policies to increase access to preventive measures suggests further interventions to improve access to cervical cancer screening are warranted.


The Patient Protection and Affordable Care Act, which was implemented in 2014, aimed to reform health care access. This serial cross-sectional study demonstrated that the number of women age 21 or older who had ever received a pap smear fell after the implementation of the Patient Protection and Affordable Care Act.


Sujet(s)
Dépistage précoce du cancer , Test de Papanicolaou , Patient Protection and Affordable Care Act (USA) , Tumeurs du col de l'utérus , Humains , Femelle , Test de Papanicolaou/statistiques et données numériques , Patient Protection and Affordable Care Act (USA)/statistiques et données numériques , Adulte , Études transversales , Jeune adulte , Dépistage précoce du cancer/statistiques et données numériques , États-Unis , Tumeurs du col de l'utérus/prévention et contrôle , Tumeurs du col de l'utérus/diagnostic , Prévalence , Adulte d'âge moyen , Frottis vaginaux/statistiques et données numériques , Vaccins contre les papillomavirus/administration et posologie , Mammographie/statistiques et données numériques
18.
Stud Health Technol Inform ; 316: 1103-1107, 2024 Aug 22.
Article de Anglais | MEDLINE | ID: mdl-39176574

RÉSUMÉ

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.


Sujet(s)
Tumeurs du sein , Mammographie , Mammographie/méthodes , Humains , Tumeurs du sein/imagerie diagnostique , Femelle , Apprentissage profond
20.
Radiology ; 312(2): e232680, 2024 08.
Article de Anglais | MEDLINE | ID: mdl-39162635

RÉSUMÉ

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.


Sujet(s)
Tumeurs du sein , Mammographie , Humains , Femelle , Mammographie/méthodes , Tumeurs du sein/imagerie diagnostique , Adulte d'âge moyen , Sujet âgé , Mesure de la douleur , Dépistage précoce du cancer/méthodes , Pays-Bas , Douleur/étiologie , Douleur/prévention et contrôle , Région mammaire/imagerie diagnostique
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