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Lee Argov EJ, Rodriguez CB, Agovino M, Schmitt KM, Desperito E, Karr AG, Wei Y, Terry MB, Tehranifar P. Screening mammography frequency following dense breast notification among a predominantly Hispanic/Latina screening cohort. Cancer Causes Control 2024:10.1007/s10552-024-01871-7. [PMID: 38607569 DOI: 10.1007/s10552-024-01871-7] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/15/2023] [Accepted: 03/11/2024] [Indexed: 04/13/2024]
Abstract
PURPOSE Nationally legislated dense breast notification (DBN) informs women of their breast density (BD) and the impact of BD on breast cancer risk and detection, but consequences for screening participation are unclear. We evaluated the association of DBN in New York State (NYS) with subsequent screening mammography in a largely Hispanic/Latina cohort. METHODS Women aged 40-60 were surveyed in their preferred language (33% English, 67% Spanish) during screening mammography from 2016 to 2018. We used clinical BD classification from mammography records from 2013 (NYS DBN enactment) through enrollment (baseline) to create a 6-category variable capturing prior and new DBN receipt (sent only after clinically dense mammograms). We used this variable to compare the number of subsequent mammograms (0, 1, ≥ 2) from 10 to 30 months after baseline using ordinal logistic regression. RESULTS In a sample of 728 women (78% foreign-born, 72% Hispanic, 46% high school education or less), first-time screeners and women who received DBN for the first time after prior non-dense mammograms had significantly fewer screening mammograms within 30 months of baseline (Odds Ratios range: 0.33 (95% Confidence Interval (CI) 0.12-0.85) to 0.38 (95% CI 0.17-0.82)) compared to women with prior mammography but no DBN. There were no differences in subsequent mammogram frequency between women with multiple DBN and those who never received DBN. Findings were consistent across age, language, health literacy, and education groups. CONCLUSION Women receiving their first DBN after previous non-dense mammograms have lower mammography participation within 2.5 years. DBN has limited influence on screening participation of first-time screeners and those with persistent dense mammograms.
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Affiliation(s)
- Erica J Lee Argov
- Department of Epidemiology, Columbia University Mailman School of Public Health, 722 W 168Th St., New York, NY, 10032, USA
| | - Carmen B Rodriguez
- Department of Epidemiology, Columbia University Mailman School of Public Health, 722 W 168Th St., New York, NY, 10032, USA
| | - Mariangela Agovino
- Department of Epidemiology, Columbia University Mailman School of Public Health, 722 W 168Th St., New York, NY, 10032, USA
| | - Karen M Schmitt
- Herbert Irving Comprehensive Cancer Center, Columbia University Irving Medical Center, New York, NY, USA
- Division of Academics, Columbia University School of Nursing, New York, NY, USA
| | - Elise Desperito
- Department of Radiology, Columbia University Irving Medical Center, New York, NY, USA
| | - Anita G Karr
- Department of Epidemiology, Columbia University Mailman School of Public Health, 722 W 168Th St., New York, NY, 10032, USA
| | - Ying Wei
- Department of Biostatistics, Columbia University Mailman School of Public Health, 722 W 168Th St., New York, NY, USA
| | - Mary Beth Terry
- Department of Epidemiology, Columbia University Mailman School of Public Health, 722 W 168Th St., New York, NY, 10032, USA
- Herbert Irving Comprehensive Cancer Center, Columbia University Irving Medical Center, New York, NY, USA
| | - Parisa Tehranifar
- Department of Epidemiology, Columbia University Mailman School of Public Health, 722 W 168Th St., New York, NY, 10032, USA.
- Herbert Irving Comprehensive Cancer Center, Columbia University Irving Medical Center, New York, NY, USA.
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Wehbe A, Gonte MR, O'Neill SC, Amit‐Yousif A, Purrington K, Manning M, Simon MS. Predictors of nonadherence to breast cancer screening guidelines in a United States urban comprehensive cancer center. Cancer Med 2023; 12:15482-15491. [PMID: 37329206 PMCID: PMC10417068 DOI: 10.1002/cam4.6182] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/08/2022] [Revised: 05/08/2023] [Accepted: 05/20/2023] [Indexed: 06/18/2023] Open
Abstract
BACKGROUND This study aimed to identify predictors of nonadherence to breast cancer screening guidelines in an urban screening clinic among high- and average-risk women in the United States. METHODS We reviewed records of 6090 women who received ≥2 screening mammograms over 2 years at the Karmanos Cancer Institute to examine how breast cancer risk and breast density were associated with guideline-concordant screening. Incongruent screening was defined as receiving supplemental imaging between screening mammograms for average-risk women, and as not receiving recommended supplemental imaging for high-risk women. We used t-tests and chi-square tests to examine bivariate associations with guideline-congruent screening, and probit regression to regress guideline-congruence unto breast cancer risk, breast density, and their interaction, controlling for age and race. RESULTS Incongruent screening was more likely among high- versus average-risk women (97.7% vs. 0.9%, p < 0.01). Among average-risk women, incongruent screening was more likely among those with dense versus nondense breasts (2.0% vs. 0.1%, p < 0.01). Among high-risk women, incongruent screening was more likely among those with nondense versus dense breasts (99.5% vs. 95.2%, p < 0.01). The significant main effects of density and high-risk on increased incongruent screening were qualified by a density by high-risk interaction, showing a weaker association between risk and incongruent screening among women with dense breasts (simple slope = 3.71, p < 0.01) versus nondense breasts (simple slope = 5.79, p < 0.01). Age and race were not associated with incongruent screening. CONCLUSIONS Lack of adherence to evidence-based screening guidelines has led to underutilization of supplementary imaging for high-risk women and potential overutilization for women with dense breasts without other risk factors.
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Affiliation(s)
- Alexandra Wehbe
- Harvard T.H. Chan School of Public HealthBostonMassachusettsUSA
- Department of OncologyBarbara Ann Karmanos Cancer InstituteDetroitMichiganUSA
- Population Studies and Disparities Research ProgramBarbara Ann Karmanos Cancer InstituteDetroitMichiganUSA
- Wayne State University School of MedicineDetroitMichiganUSA
| | - Madeleine R. Gonte
- Harvard T.H. Chan School of Public HealthBostonMassachusettsUSA
- Wayne State University School of MedicineDetroitMichiganUSA
| | - Suzanne C. O'Neill
- Department of Oncology, Lombardi Cancer CenterGeorgetown UniversityWashingtonDCUSA
| | - Alit Amit‐Yousif
- Center for Breast HealthOakland Macomb Obstetrics and GynecologyRochester HillsMichiganUSA
| | - Kristen Purrington
- Population Studies and Disparities Research ProgramBarbara Ann Karmanos Cancer InstituteDetroitMichiganUSA
| | - Mark Manning
- Department of PsychologyOakland UniversityRochesterMichiganUSA
- Center for Molecular Medicine and GeneticsWayne State University School of MedicineDetroitMichiganUSA
| | - Michael S. Simon
- Department of OncologyBarbara Ann Karmanos Cancer InstituteDetroitMichiganUSA
- Population Studies and Disparities Research ProgramBarbara Ann Karmanos Cancer InstituteDetroitMichiganUSA
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Li J, Hu S, Shi C, Dong Z, Pan J, Ai Y, Liu J, Zhou W, Deng Y, Li Y, Yuan J, Zeng Z, Wu L, Yu H. A deep learning and natural language processing-based system for automatic identification and surveillance of high-risk patients undergoing upper endoscopy: A multicenter study. EClinicalMedicine 2022; 53:101704. [PMID: 36467456 PMCID: PMC9716327 DOI: 10.1016/j.eclinm.2022.101704] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/22/2022] [Revised: 09/28/2022] [Accepted: 09/29/2022] [Indexed: 11/05/2022] Open
Abstract
BACKGROUND Timely identification and regular surveillance of patients at high risk are crucial for early diagnosis of upper gastrointestinal cancer. However, traditional manual surveillance method is time-consuming, and current surveillance rate is below 50%. Here, we aimed to develop a surveillance system named ENDOANGEL-AS (automatic surveillance) for automatic identification and surveillance of high-risk patients. METHODS 7874 patients from Renmin Hospital of Wuhan University between May 1 and July 31, 2021 were used as the training set, 6762 patients between August 1 and October 31, 2021 as the internal test set, and 7570 patients from two other hospitals between August 1 and October 31, 2021 as the external test sets. We first extracted descriptions of abnormalities from endoscopic and pathological reports based on natural language processing techniques to identify individuals. Then patients were classified at nine risk levels according to endoscopic and pathological findings, and a deep learning model was trained to identify demarcation line (DL) in gastric low-grade intraepithelial neoplasia (LGIN) using 1561 white-light still images for risk stratification of gastric LGIN. Finally, patients undergoing upper endoscopy were classified and assigned one of ten surveillance intervals according to guidelines. The performance of ENDOANGEL-AS was evaluated and compared with physicians. FINDINGS Patient identification module achieved an accuracy of 100% and 99.91% in internal and external test sets, respectively. Risk level classification module achieved an accuracy of 100% and 99.85% in the internal and external test sets, respectively. DL identification module achieved an accuracy of 87.88%. ENDOANGEL-AS on surveillance interval assignment achieved an accuracy of 99.23% and 99.67% in internal and external test sets, respectively. ENDOANGEL-AS had significantly higher accuracy compared with physicians (99.00% vs 38.87%, p < 0.001). The accuracy (63.67%, p < 0.001) of endoscopists with the assistance of ENDOANGEL-AS was significantly improved. INTERPRETATION We established a surveillance system that can automatically identify patients and assign surveillance intervals with high accuracy and good transferability. FUNDING This work was partly supported by a grant from the Hubei Province Major Science and Technology Innovation Project (2018-916-000-008) and the Fundamental Research Funds for the Central Universities (2042021kf0084).
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Affiliation(s)
- Jia Li
- Department of Gastroenterology, Renmin Hospital of Wuhan University, Wuhan, Hubei 430060, PR China
- Hubei Key Laboratory of Digestive System, Renmin Hospital of Wuhan University, Wuhan, Hubei 430060, PR China
- Hubei Provincial Clinical Research Center for Digestive Disease Minimally Invasive Incision, Renmin Hospital of Wuhan University, Wuhan, Hubei 430060, PR China
| | - Shan Hu
- National Engineering Research Center for Multimedia Software, School of Computer, Wuhan University, Wuhan, Hubei 430079, PR China
| | - Conghui Shi
- Department of Gastroenterology, Renmin Hospital of Wuhan University, Wuhan, Hubei 430060, PR China
- Hubei Key Laboratory of Digestive System, Renmin Hospital of Wuhan University, Wuhan, Hubei 430060, PR China
- Hubei Provincial Clinical Research Center for Digestive Disease Minimally Invasive Incision, Renmin Hospital of Wuhan University, Wuhan, Hubei 430060, PR China
| | - Zehua Dong
- Department of Gastroenterology, Renmin Hospital of Wuhan University, Wuhan, Hubei 430060, PR China
- Hubei Key Laboratory of Digestive System, Renmin Hospital of Wuhan University, Wuhan, Hubei 430060, PR China
- Hubei Provincial Clinical Research Center for Digestive Disease Minimally Invasive Incision, Renmin Hospital of Wuhan University, Wuhan, Hubei 430060, PR China
| | - Jie Pan
- Department of Gastroenterology, Wenzhou Central Hospital, Wenzhou, Zhejiang 325000, PR China
| | - Yaowei Ai
- Department of Gastroenterology, The People's Hospital of China Three Gorges University, The First People's Hospital of Yichang, Yichang, Hubei 443000, PR China
| | - Jun Liu
- Department of Gastroenterology, Renmin Hospital of Wuhan University, Wuhan, Hubei 430060, PR China
- Hubei Provincial Clinical Research Center for Digestive Disease Minimally Invasive Incision, Renmin Hospital of Wuhan University, Wuhan, Hubei 430060, PR China
- Nursing Department of Renmin Hospital of Wuhan University, Wuhan, Hubei 430060, PR China
| | - Wei Zhou
- Department of Gastroenterology, Renmin Hospital of Wuhan University, Wuhan, Hubei 430060, PR China
- Hubei Key Laboratory of Digestive System, Renmin Hospital of Wuhan University, Wuhan, Hubei 430060, PR China
- Hubei Provincial Clinical Research Center for Digestive Disease Minimally Invasive Incision, Renmin Hospital of Wuhan University, Wuhan, Hubei 430060, PR China
| | - Yunchao Deng
- Department of Gastroenterology, Renmin Hospital of Wuhan University, Wuhan, Hubei 430060, PR China
- Hubei Key Laboratory of Digestive System, Renmin Hospital of Wuhan University, Wuhan, Hubei 430060, PR China
- Hubei Provincial Clinical Research Center for Digestive Disease Minimally Invasive Incision, Renmin Hospital of Wuhan University, Wuhan, Hubei 430060, PR China
| | - Yanxia Li
- Department of Gastroenterology, Renmin Hospital of Wuhan University, Wuhan, Hubei 430060, PR China
- Hubei Key Laboratory of Digestive System, Renmin Hospital of Wuhan University, Wuhan, Hubei 430060, PR China
- Hubei Provincial Clinical Research Center for Digestive Disease Minimally Invasive Incision, Renmin Hospital of Wuhan University, Wuhan, Hubei 430060, PR China
| | - Jingping Yuan
- Department of Pathology, Renmin Hospital of Wuhan University, Wuhan, Hubei 430060, PR China
| | - Zhi Zeng
- Department of Pathology, Renmin Hospital of Wuhan University, Wuhan, Hubei 430060, PR China
| | - Lianlian Wu
- Department of Gastroenterology, Renmin Hospital of Wuhan University, Wuhan, Hubei 430060, PR China
- Hubei Key Laboratory of Digestive System, Renmin Hospital of Wuhan University, Wuhan, Hubei 430060, PR China
- Hubei Provincial Clinical Research Center for Digestive Disease Minimally Invasive Incision, Renmin Hospital of Wuhan University, Wuhan, Hubei 430060, PR China
- Corresponding author. Department of Gastroenterology, Renmin Hospital of Wuhan University, 99 Zhangzhidong Road, Wuhan 430060, Hubei Province, PR China.
| | - Honggang Yu
- Department of Gastroenterology, Renmin Hospital of Wuhan University, Wuhan, Hubei 430060, PR China
- Hubei Key Laboratory of Digestive System, Renmin Hospital of Wuhan University, Wuhan, Hubei 430060, PR China
- Hubei Provincial Clinical Research Center for Digestive Disease Minimally Invasive Incision, Renmin Hospital of Wuhan University, Wuhan, Hubei 430060, PR China
- Corresponding author. Department of Gastroenterology, Renmin Hospital of Wuhan University, 99 Zhangzhidong Road, Wuhan 430060, Hubei Province, PR China.
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Lee Argov EJ, Rodriguez CB, Agovino M, Wei Y, Shelton RC, Kukafka R, Schmitt KM, Desperito E, Terry MB, Tehranifar P. Breast cancer worry, uncertainty, and perceived risk following breast density notification in a longitudinal mammography screening cohort. Breast Cancer Res 2022; 24:95. [PMID: 36544225 PMCID: PMC9773500 DOI: 10.1186/s13058-022-01584-2] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/16/2022] [Accepted: 11/27/2022] [Indexed: 12/24/2022] Open
Abstract
BACKGROUND Dense breast notification (DBN) legislation aims to increase a woman's awareness of her personal breast density and the implications of having dense breasts for breast cancer detection and risk. This information may adversely affect women's breast cancer worry, perceptions of risk, and uncertainty about screening, which may persist over time or vary by sociodemographic factors. We examined short- and long-term psychological responses to DBN and awareness of breast density (BD). METHODS In a predominantly Hispanic New York City screening cohort (63% Spanish-speaking), ages 40-60 years, we assessed breast cancer worry, perceived breast cancer risk, and uncertainties about breast cancer risk and screening choices, in short (1-3 months)- and long-term (9-18 months) surveys following the enrollment screening mammogram (between 2016 and 2018). We compared psychological responses by women's dense breast status (as a proxy for DBN receipt) and BD awareness and examined multiplicative interaction by education, health literacy, nativity, and preferred interview language. RESULTS In multivariable models using short-term surveys, BD awareness was associated with increased perceived risk (odds ratio (OR) 2.27, 95% confidence interval (CI) 0.99, 5.20 for high, OR 2.19, 95% CI 1.34, 3.58 for moderate, vs. low risk) in the overall sample, and with increased uncertainty about risk (OR 1.97 per 1-unit increase, 95% CI 1.15, 3.39) and uncertainty about screening choices (OR 1.73 per 1-unit increase, 95% CI 1.01, 2.9) in Spanish-speaking women. DBN was associated with decreased perceived risk among women with at least some college education (OR 0.32, 95% CI 0.11, 0.89, for high, OR 0.50, 95% CI 0.29, 0.89, for moderate vs. low risk), while those with a high school education or less experienced an increase (OR 3.01, 95% CI 1.05, 8.67 high vs. low risk). There were no associations observed between DBN or BD awareness and short-term breast cancer worry, nor with any psychological outcomes at long-term surveys. CONCLUSIONS Associations of BD awareness and notification with breast cancer-related psychological outcomes were limited to short-term increases in perceived breast cancer risk dependent on educational attainment, and increases in uncertainty around breast cancer risk and screening choices among Spanish-speaking women.
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Affiliation(s)
- Erica J. Lee Argov
- grid.21729.3f0000000419368729Department of Epidemiology, Columbia University Mailman School of Public Health, 722 W 168th St., New York, NY USA
| | - Carmen B. Rodriguez
- grid.21729.3f0000000419368729Department of Epidemiology, Columbia University Mailman School of Public Health, 722 W 168th St., New York, NY USA
| | - Mariangela Agovino
- grid.21729.3f0000000419368729Department of Epidemiology, Columbia University Mailman School of Public Health, 722 W 168th St., New York, NY USA
| | - Ying Wei
- grid.21729.3f0000000419368729Department of Biostatistics, Columbia University Mailman School of Public Health, 722 W 168th St., New York, NY USA
| | - Rachel C. Shelton
- grid.21729.3f0000000419368729Department of Sociomedical Sciences, Columbia University Mailman School of Public Health, 722 W 168th St., New York, NY USA ,grid.239585.00000 0001 2285 2675Herbert Irving Comprehensive Cancer Center, Columbia University Irving Medical Center, 161 Fort Washington Ave., New York, NY USA
| | - Rita Kukafka
- grid.21729.3f0000000419368729Department of Sociomedical Sciences, Columbia University Mailman School of Public Health, 722 W 168th St., New York, NY USA ,grid.239585.00000 0001 2285 2675Herbert Irving Comprehensive Cancer Center, Columbia University Irving Medical Center, 161 Fort Washington Ave., New York, NY USA ,grid.21729.3f0000000419368729Department of Biomedical Informatics, Vagelos College of Physicians and Surgeons, Columbia University, 622 West 168th St., New York, NY USA
| | - Karen M. Schmitt
- grid.239585.00000 0001 2285 2675Herbert Irving Comprehensive Cancer Center, Columbia University Irving Medical Center, 161 Fort Washington Ave., New York, NY USA ,grid.21729.3f0000000419368729Division of Academics, Columbia University School of Nursing, New York, NY USA
| | - Elise Desperito
- grid.239585.00000 0001 2285 2675Department of Radiology, Columbia University Irving Medical Center, New York, NY USA
| | - Mary Beth Terry
- grid.21729.3f0000000419368729Department of Epidemiology, Columbia University Mailman School of Public Health, 722 W 168th St., New York, NY USA ,grid.239585.00000 0001 2285 2675Herbert Irving Comprehensive Cancer Center, Columbia University Irving Medical Center, 161 Fort Washington Ave., New York, NY USA
| | - Parisa Tehranifar
- grid.21729.3f0000000419368729Department of Epidemiology, Columbia University Mailman School of Public Health, 722 W 168th St., New York, NY USA ,grid.239585.00000 0001 2285 2675Herbert Irving Comprehensive Cancer Center, Columbia University Irving Medical Center, 161 Fort Washington Ave., New York, NY USA
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