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Tan R, Liu J, Tang Q, Chen H, Zhang Z. Clinical Diagnostic Value of Shear-Wave Elastography in Detecting Malignant Nipple Retraction. J Comput Assist Tomogr 2024:00004728-990000000-00345. [PMID: 39143669 DOI: 10.1097/rct.0000000000001653] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 08/16/2024]
Abstract
OBJECTIVES In recent years, the use of shear-wave elastography (SWE) as a diagnostic tool for detecting malignant breast lesions has shown promising results. This study aims to determine the clinical diagnostic value of SWE in detecting malignant nipple retraction. METHODS Both US and SWE (Philips EPIQ7 system) were performed for 41 consecutive patients with nipple retraction (56 nipples). The mean, median, and maximum tissue elasticity values (in kilopascals) were determined for each nipple by using SWE. The sensitivity, specificity, and overall accuracy of each measurement was determined by using the surgical pathology results or clinical diagnosis as the gold standard. RESULTS Of the 56 retracted nipples, 32 were due to benign lesions, and 24 were due to malignant lesions. No significant differences in dimensions or echo features were found between the benign and malignant groups. The sensitivity, specificity, positive predictive value, negative predictive value, and accuracy of the color Doppler flow imaging (CDFI) pattern were 63.89% (23/36), 95% (19/20), 95.83 (23/24), 59.38 (19/32), and 75% (42/56), respectively; the corresponding values for median elasticity on SWE were 88.46% (23/26), 96.67% (29/30), 95.83 (23/24), 90.63 (29/32), and 92.85 (52/56), respectively. CONCLUSIONS The addition of SWE to conventional US could help differentiate benign from malignant lesions associated with nipple retraction.
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Affiliation(s)
- Rong Tan
- From the Department of Ultrasonography, The Affiliated Changsha Hospital of Xiangya School of Medicine, Central South University (The First Hospital of Changsha)
| | - Jie Liu
- Department of Medical Record and Statistical Analysis, Hunan Provincial Maternal and Child Health Care Hospital
| | - Qi Tang
- From the Department of Ultrasonography, The Affiliated Changsha Hospital of Xiangya School of Medicine, Central South University (The First Hospital of Changsha)
| | | | - Zhenhui Zhang
- Department of Obstetrics, The Affiliated Changsha Hospital of Xiangya School of Medicine, Central South University (The First Hospital of Changsha), Changsha, Hunan, PR China
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Zarghami A, Mirmalek SA. Differentiating Primary and Recurrent Lesions in Patients with a History of Breast Cancer: A Comprehensive Review. Galen Med J 2024; 13:1-18. [PMID: 39224544 PMCID: PMC11368482 DOI: 10.31661/gmj.v13i.3340] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/27/2023] [Revised: 10/01/2023] [Accepted: 10/25/2024] [Indexed: 09/04/2024] Open
Abstract
Breast cancer (BC) recurrence remains a concerning issue, requiring accurate identification and differentiation from primary lesions for optimal patient management. This comprehensive review aims to summarize and evaluate the current evidence on methods to distinguish primary breast tumors from recurrent lesions in patients with a history of BC. Also, we provide a comprehensive understanding of the different imaging techniques, including mammography, ultrasound, magnetic resonance imaging, and positron emission tomography, highlighting their diagnostic accuracy, limitations, and potential integration. In addition, the role of various biopsy modalities and molecular markers was explored. Furthermore, the potential role of liquid biopsy, circulating tumor cells, and circulating tumor DNA in differentiating between primary and recurrent BC was emphasized. Finally, it addresses emerging diagnostic modalities, such as radiomic analysis and artificial intelligence, which show promising potential in enhancing diagnostic accuracy. Through comprehensive analysis and review of the available literature, the current study provides an up-to-date understanding of the current state of knowledge, challenges, and future directions in accurately distinguishing between primary and recurrent breast lesions in patients with a history of BC.
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Affiliation(s)
- Anita Zarghami
- Department of Surgery, Shahid Beheshti University of Medical Sciences, Tehran, Iran
| | - Seyed Abbas Mirmalek
- Department of Surgery, Tehran Medical Sciences, Islamic Azad University, Tehran,
Iran
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Obeagu EI, Obeagu GU. Breast cancer: A review of risk factors and diagnosis. Medicine (Baltimore) 2024; 103:e36905. [PMID: 38241592 PMCID: PMC10798762 DOI: 10.1097/md.0000000000036905] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/29/2023] [Accepted: 12/18/2023] [Indexed: 01/21/2024] Open
Abstract
Breast cancer remains a complex and prevalent health concern affecting millions of individuals worldwide. This review paper presents a comprehensive analysis of the multifaceted landscape of breast cancer, elucidating the diverse spectrum of risk factors contributing to its occurrence and exploring advancements in diagnostic methodologies. Through an extensive examination of current literature, various risk factors have been identified, encompassing genetic predispositions such as BRCA mutations, hormonal influences, lifestyle factors, and reproductive patterns. Age, family history, and environmental factors further contribute to the intricate tapestry of breast cancer etiology. Moreover, this review delineates the pivotal role of diagnostic tools in the early detection and management of breast cancer. Mammography, the cornerstone of breast cancer screening, is augmented by emerging technologies like magnetic resonance imaging and molecular testing, enabling improved sensitivity and specificity in diagnosing breast malignancies. Despite these advancements, challenges persist in ensuring widespread accessibility to screening programs, particularly in resource-limited settings. In conclusion, this review underscores the importance of understanding diverse risk factors in the development of breast cancer and emphasizes the critical role of evolving diagnostic modalities in enhancing early detection. The synthesis of current knowledge in this review aims to contribute to a deeper comprehension of breast cancer's multifactorial nature and inform future directions in research, screening strategies, and preventive interventions.
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Wee HL, Canfell K, Chiu HM, Choi KS, Cox B, Bhoo-Pathy N, Simms KT, Hamashima C, Shen Q, Chua B, Siwaporn N, Toes-Zoutendijk E. Cancer screening programs in South-east Asia and Western Pacific. BMC Health Serv Res 2024; 24:102. [PMID: 38238704 PMCID: PMC10797973 DOI: 10.1186/s12913-023-10327-8] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/13/2023] [Accepted: 11/14/2023] [Indexed: 01/22/2024] Open
Abstract
BACKGROUND The burden of cancer can be altered by screening. The field of cancer screening is constantly evolving; from the initiation of program for new cancer types as well as exploring innovative screening strategies (e.g. new screening tests). The aim of this study was to perform a landscape analysis of existing cancer screening programs in South-East Asia and the Western Pacific. METHODS We conducted an overview of cancer screening in the region with the goal of summarizing current designs of cancer screening programs. First, a selective narrative literature review was used as an exploration to identify countries with organized screening programs. Second, representatives of each country with an organized program were approached and asked to provide relevant information on the organizations of their national or regional cancer screening program. RESULTS There was wide variation in the screening strategies offered in the considered region with only eight programs identified as having an organized design. The majority of these programs did not meet all the essential criteria for being organized screening. The greatest variation was observed in the starting and stopping ages. CONCLUSIONS Essential criteria of organized screening are missed. Improving organization is crucial to ensure that the beneficial effects of screening are achieved in the long-term. It is strongly recommended to consider a regional cancer screening network.
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Affiliation(s)
- Hwee-Lin Wee
- Saw Swee Hock School of Public Health, National University of Singapore, Singapore, Singapore
| | - Karen Canfell
- The Daffodil Centre, A Joint Venture with Cancer Council NSW and the University of Sydney, Sydney, NSW, Australia
| | - Han-Mo Chiu
- Department of Internal Medicine, College of Medicine, National Taiwan University, Taipei, Taiwan
| | - Kui Son Choi
- Graduate School of Cancer Science and Policy, National Cancer Center, Ilsandonggu, Goyang, Republic of Korea
| | - Brian Cox
- Dunedin School of Medicine, University of Otago, Dunedin, New Zealand
| | - Nirmala Bhoo-Pathy
- Centre for Epidemiology and Evidence-Based Practice, Faculty of Medicine, Universiti Malaya, Kuala Lumpur, Malaysia
| | - Kate T Simms
- The Daffodil Centre, A Joint Venture with Cancer Council NSW and the University of Sydney, Sydney, NSW, Australia
| | - Chisato Hamashima
- Division of Cancer Screening Assessment and Management, Institute of Cancer Control, National Cancer Center, Tokyo, Japan
- Teikyo University, Tokyo, Japan
| | - Qianyu Shen
- Saw Swee Hock School of Public Health, National University of Singapore, Singapore, Singapore
| | - Brandon Chua
- Saw Swee Hock School of Public Health, National University of Singapore, Singapore, Singapore
| | - Niyomsri Siwaporn
- Department of Medical Services, Ministry of Public Health, National Cancer Institute of Thailand, Bangkok, Thailand
- Population Health Sciences, Bristol Medical School, University of Bristol, Bristol, UK
| | - Esther Toes-Zoutendijk
- Saw Swee Hock School of Public Health, National University of Singapore, Singapore, Singapore.
- Department of Public Health, Erasmus MC University Medical Center, P.O. Box 2014, Rotterdam, CA, 3000, the Netherlands.
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Wu S, Liang D, Shi J, Li D, Liu Y, Hao Y, Shi M, Du X, He Y. Evaluation of a population-based breast cancer screening in North China. J Cancer Res Clin Oncol 2023; 149:10119-10130. [PMID: 37266660 PMCID: PMC10423103 DOI: 10.1007/s00432-023-04905-w] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/21/2023] [Accepted: 05/20/2023] [Indexed: 06/03/2023]
Abstract
BACKGROUND Despite mammography-based screening for breast cancer has been conducted in many countries, there are still little data on participation and diagnostic yield in population-based breast cancer screening in China. METHODS We enrolled 151,973 eligible women from four cities in Hebei Province within the period 2013-2021 and followed up until December 31, 2021. Participants aged 40-74 who assessed as high risk were invited to undergo breast ultrasound and mammography examination. Overall and group-specific participation rates were calculated. Multivariable analyses were used to estimate the factors associated with participation rates. The diagnostic yield of both screening and no screening groups was calculated. We further analyzed the stage distribution and molecular subtype of breast cancer cases by different modes of cancer detection. RESULTS A total of 42,547 participants were evaluated to be high risk of breast cancer. Among them, 23,009 subjects undertook screening services, with participation rate of 54.08%. Multivariable logistic regression model showed that aged 45-64, high education level, postmenopausal, current smoking, alcohol consumption, family history of breast cancer, and benign breast disease were associated with increased participation of screening. After median follow-up of 3.79 years, there were 456 breast cancer diagnoses of which 65 were screen-detected breast cancers (SBCs), 27 were interval breast cancers (IBCs), 68 were no screening cancers, and 296 were cancers detected outside the screening program. Among them, 92 participants in the screening group (0.40%) and 364 in the non-screening group (0.28%) had breast cancer detected, which resulted in an odds ratio of 1.42 (95% CI 1.13-1.78; P = 0.003). We observed a higher detection rate of breast cancer in the screening group, with ORs of 2.42 (95% CI 1.72-3.41) for early stage (stages 0-I) and 2.12 (95% CI 1.26-3.54) for luminal A subtype. SBCs had higher proportion of early stage (71.93%) and luminal A subtype (47.22%) than other groups. CONCLUSIONS The significant differences in breast cancer diagnosis between the screening and non-screening group imply an urgent need for increased breast cancer awareness and early detection in China.
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Affiliation(s)
- Siqi Wu
- Cancer Institute, The Fourth Hospital of Hebei Medical University and Hebei Tumor Hospital, No. 12 Jian Kang Road, Changan District, Shijiazhuang, 050011, Hebei, China
| | - Di Liang
- Cancer Institute, The Fourth Hospital of Hebei Medical University and Hebei Tumor Hospital, No. 12 Jian Kang Road, Changan District, Shijiazhuang, 050011, Hebei, China
| | - Jin Shi
- Cancer Institute, The Fourth Hospital of Hebei Medical University and Hebei Tumor Hospital, No. 12 Jian Kang Road, Changan District, Shijiazhuang, 050011, Hebei, China
| | - Daojuan Li
- Cancer Institute, The Fourth Hospital of Hebei Medical University and Hebei Tumor Hospital, No. 12 Jian Kang Road, Changan District, Shijiazhuang, 050011, Hebei, China
| | - Yanyu Liu
- Cancer Institute, The Fourth Hospital of Hebei Medical University and Hebei Tumor Hospital, No. 12 Jian Kang Road, Changan District, Shijiazhuang, 050011, Hebei, China
| | - Yahui Hao
- Cancer Institute, The Fourth Hospital of Hebei Medical University and Hebei Tumor Hospital, No. 12 Jian Kang Road, Changan District, Shijiazhuang, 050011, Hebei, China
| | - Miaomiao Shi
- Cancer Institute, The Fourth Hospital of Hebei Medical University and Hebei Tumor Hospital, No. 12 Jian Kang Road, Changan District, Shijiazhuang, 050011, Hebei, China
| | - Xinyu Du
- Cancer Institute, The Fourth Hospital of Hebei Medical University and Hebei Tumor Hospital, No. 12 Jian Kang Road, Changan District, Shijiazhuang, 050011, Hebei, China
| | - Yutong He
- Cancer Institute, The Fourth Hospital of Hebei Medical University and Hebei Tumor Hospital, No. 12 Jian Kang Road, Changan District, Shijiazhuang, 050011, Hebei, China.
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Huang Z, Hu Z, Wong LP, Lin Y. Determinants of gastric cancer screening attendance in Southeastern China: a cross-sectional study. BMJ Open 2023; 13:e073925. [PMID: 37474189 PMCID: PMC10360441 DOI: 10.1136/bmjopen-2023-073925] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/22/2023] [Accepted: 06/27/2023] [Indexed: 07/22/2023] Open
Abstract
OBJECTIVES This study aimed to identify the determinants of gastric cancer screening attendance among individuals aged 40 years in a region with high gastric cancer in China. DESIGN An anonymous, cross-sectional survey was conducted between October 2021 and March 2022. SETTING A self-administered online survey was conducted in Fujian Province in Southeastern China. PARTICIPANTS People aged 40 years living in five selected cities in Fujian Province with no history of cancer. MAIN OUTCOME MEASURES Gastric cancer screening attendance was measured with the question 'Have you ever been screened for gastric cancer in the past'. RESULTS In total, 2547 complete responses were obtained. The mean age of respondents was 47.72±7.20 years, and 59.8% were men. A total of 42.6% of participants reported that they had undergone gastric cancer screening. The result of multivariable logistic regression analysis showed that participants with a first-degree relative affected with gastric cancer (OR=2.02, 95% CI: 1.58 to 2.59) and high perceived susceptibility of gastric cancer (OR=2.03, 95% CI: 1.58 to 2.59) were the strongest facilitators for screening attendance. Other factors positively associated with screening attendance were age 51-60 years (OR=1.69, 95% CI: 1.31 to 2.18), living in urban regions (OR=1.27, 95% CI: 1.05 to 1.55), friends/neighbours/colleagues with gastric cancer (OR=1.30, 95% CI: 1.07 to 1.58), history of chronic gastric disease (OR=1.90, 95% CI: 1.57 to 2.30), perceived high cost (OR=1.28, 95% CI: 1.01 to 1.61) and physician recommendation (OR=1.71, 95% CI: 1.36 to 2.16). On the other hand, factors negatively associated with screening attendance included perceived barriers, namely screening is only necessary when symptoms present (OR=0.71, 95% CI: 0.58 to 0.87) and perceived appointment for gastroscopy screening is difficult and time-consuming (OR=0.75, 95% CI: 0.60 to 0.94). No significant association was found between knowledge level and participation in screening. CONCLUSION This study highlights important individual-level factors and barriers to gastric cancer screening. Strategies targeting under-screened populations and eliminating patient-perceived barriers to gastric cancer screening are essential.
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Affiliation(s)
- Zhiwen Huang
- Department of Epidemiology and Health Statistics, School of Public Health, Fujian Medical University, Fuzhou, China
| | - Zhijian Hu
- Department of Epidemiology and Health Statistics, School of Public Health, Fujian Medical University, Fuzhou, China
| | - Li Ping Wong
- Department of Epidemiology and Health Statistics, School of Public Health, Fujian Medical University, Fuzhou, China
- Centre for Epidemiology and Evidence-Based Practice, Department of Social and Preventive Medicine, Faculty of Medicine, Universiti Malaya, Kuala Lumpur, Malaysia
| | - Yulan Lin
- Department of Epidemiology and Health Statistics, School of Public Health, Fujian Medical University, Fuzhou, China
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Yu Y, Qiao L, Han J, Wang W, Kang W, Zhang Y, Shang S, Meng R, Zhuo L, Zhan S, Xi Y, Wang S. Integrated database-based Screening Cohort for Asian Nomadic descendants in China (Scan-China): Insights on prospective ethnicity-focused cancer screening. Epidemiol Health 2023; 45:e2023048. [PMID: 37080725 PMCID: PMC10593583 DOI: 10.4178/epih.e2023048] [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: 11/23/2022] [Accepted: 03/29/2023] [Indexed: 04/22/2023] Open
Abstract
Established in 2017, the Screening Cohort for Asian Nomadic descendants in China (Scan-China) has benefited over 180,000 members of a multi-ethnic population, particularly individuals of Mongolian descent compared with the general population (Han ethnicity), in the Inner Mongolia Autonomous Region, China. This cohort study aims to evaluate the effectiveness of cancer screening and serve as a real-world data platform for cancer studies. The 6 most prevalent cancers in China are considered-namely, breast, lung, colorectal, gastric, liver and esophageal cancer. After baseline cancer risk assessments and screening tests, both active and passive follow-up (based on the healthcare insurance database, cancer registry, the front page of hospital medical records, and death certificates) will be conducted to trace participants' onset and progression of cancers and other prevalent chronic diseases. Scan-China has preliminarily found a disproportionately lower screening participation rate and higher incidence/mortality rates of esophageal and breast cancer among the Mongolian population than among their Han counterparts. Further research will explore the cancer burden, natural history, treatment patterns, and risk factors of the target cancers.
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Affiliation(s)
- Yuelin Yu
- Department of Epidemiology and Biostatistics, School of Public Health, Peking University, Beijing, China
| | - Liying Qiao
- Center for Disease Control and Prevention in Inner Mongolia, Hohhot, China
| | - Jing Han
- Center for Disease Control and Prevention in Inner Mongolia, Hohhot, China
| | - Weiwei Wang
- Department of Epidemiology and Biostatistics, School of Public Health, Peking University, Beijing, China
| | - Weiwei Kang
- Center for Disease Control and Prevention in Inner Mongolia, Hohhot, China
| | - Yunjing Zhang
- Department of Epidemiology and Biostatistics, School of Public Health, Peking University, Beijing, China
| | - Shu Shang
- Center for Disease Control and Prevention in Inner Mongolia, Hohhot, China
| | - Ruogu Meng
- National Institute of Health Data Science, Peking University, Beijing, China
| | - Lin Zhuo
- Research Center of Clinical Epidemiology, Peking University Third Hospital, Beijing, China
| | - Siyan Zhan
- Department of Epidemiology and Biostatistics, School of Public Health, Peking University, Beijing, China
| | - Yunfeng Xi
- Center for Disease Control and Prevention in Inner Mongolia, Hohhot, China
| | - Shengfeng Wang
- Department of Epidemiology and Biostatistics, School of Public Health, Peking University, Beijing, China
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Shi J, Guan Y, Liang D, Li D, He Y, Liu Y. Cost-effectiveness evaluation of risk-based breast cancer screening in Urban Hebei Province. Sci Rep 2023; 13:3370. [PMID: 36849794 PMCID: PMC9971026 DOI: 10.1038/s41598-023-29985-z] [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: 08/12/2022] [Accepted: 02/14/2023] [Indexed: 03/01/2023] Open
Abstract
To evaluate the implementations of Cancer Screening Program in Urban Hebei and to model the cost-effectiveness of a risk-based breast Cancer Screening Program. Women aged 40-74 years were invited to participate the Cancer Screening Program in Urban Hebei form 2016 to 2020 by completing questionnaires to collect information about breast cancer exposure. Clinical screening including ultrasound and mammography examination were performed. We developed a Markov model to estimate the lifetime costs and benefits, in terms of quality-adjusted life years (QALY), of a high-risk breast Cancer Screening Program. Nine screening strategies and no screening were included in the study. The age-specific incidence, transition probability data and lifetime treatment costs were derived and adopted from other researches. Average cost-effectiveness ratios (ACERs) were estimated as the ratios of the additional costs of the screening strategies to the QLYG compared to no screening. Incremental cost-effectiveness ratios (ICERs) were calculated based on the comparison of a lower cost strategies to the next more expensive and effective strategies after excluding dominated strategies and extendedly dominated strategies. ICERs were used to compare with a willingness-to-pay (WTP) threshold. Sensitivity analysis was explored the influence factors. A total of 84,029 women completed a risk assessment questionnaire, from which 20,655 high-risk breast cancer females were evaluated, with a high-risk rate of 24.58%. There were 13,392 high-risk females completed the screening program, with participation rate was 64.84%. Undergoing ultrasound, mammography and combined screening, the suspicious positive detection rates were 15.00%, 9.20% and 19.30%, and the positive detection rates were 2.11%, 2.76% and 3.83%, respectively. According to the results by Markov model, at the end of 45 cycle, the early diagnosis rates were 55.53%, 60.68% and 62.47% underwent the annual screening by ultrasound, mammography and combined, the proportion of advanced cancer were 17.20%, 15.85% and 15.36%, respectively. Different screening method and interval yield varied. In the exploration of various scenarios, annual ultrasound screening is the most cost-effective strategy with the ICER of ¥116,176.15/QALY. Sensitivity analyses demonstrated that the results are robust. Although it was not cost effective, combined ultrasound and mammography screening was an effective strategy for higher positive detection rate of breast cancer. High-risk population-based breast cancer screening by ultrasound annually was the most cost-effective strategy in Urban Hebei Province.
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Affiliation(s)
- Jin Shi
- Cancer Institute, The Tumor Hospital of Hebei Province, The Fourth Hospital of Hebei Medical University, Shijiazhuang, 050011, Hebei, People's Republic of China
| | - Yazhe Guan
- Cancer Institute, The Tumor Hospital of Hebei Province, The Fourth Hospital of Hebei Medical University, Shijiazhuang, 050011, Hebei, People's Republic of China
| | - Di Liang
- Cancer Institute, The Tumor Hospital of Hebei Province, The Fourth Hospital of Hebei Medical University, Shijiazhuang, 050011, Hebei, People's Republic of China
| | - Daojuan Li
- Cancer Institute, The Tumor Hospital of Hebei Province, The Fourth Hospital of Hebei Medical University, Shijiazhuang, 050011, Hebei, People's Republic of China
| | - Yutong He
- Cancer Institute, The Tumor Hospital of Hebei Province, The Fourth Hospital of Hebei Medical University, Shijiazhuang, 050011, Hebei, People's Republic of China.
| | - Yunjiang Liu
- Department of Breast Cancer Center, The Tumor Hospital of Hebei Province, The Fourth Hospital of Hebei Medical University, Shijiazhuang, 050011, Hebei, People's Republic of China.
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Liu Y, Guo LW, Xu HF, Kang RH, Zheng LY, Zhang LY, Chen Q, Sun XB, Qiao YL, Zhang SK. Development and Validation of a Noninvasive Risk Score Model for Liver Cirrhosis in At-Risk Alcohol Drinkers Without HBV/HCV Infection. Cancer Prev Res (Phila) 2022; 15:767-776. [PMID: 36083859 DOI: 10.1158/1940-6207.capr-22-0234] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/14/2022] [Revised: 06/15/2022] [Accepted: 07/20/2022] [Indexed: 01/31/2023]
Abstract
At-risk alcohol consumption is the established most important risk factor for cirrhosis in people without HBV/HCV infection. We aimed to develop and validate a simple and non-invasive tool for triaging cirrhosis risk in at-risk alcohol drinkers without HBV/HCV infection. A large-sample size, cross-sectional study within the framework of a population-based Cancer Screening Program in Urban China (CanSPUC) was conducted. Data on the liver cancer screening in Henan province, China were used. At-risk alcohol drinkers were those who currently drink one or more alcohol units per week for at least six months. A total of 6,581 eligible participants enrolled from October 1, 2013 to December 31, 2016 were included into the derivation dataset, and 2,096 eligible participants enrolled from January 1, 2017 to October 31, 2018 were included into the external validation dataset, respectively. Using the derivation dataset, a 20-point scale risk score model was developed, based on sex, education background, dietary intake of vegetables, dietary intake of roughage, smoking index, length of secondhand smoke exposure, history of fatty liver, history of diabetes, and first-degree family history of liver cancer. The model showed excellent discrimination (AUC = 0.787; 95% CI, 0.7603-0.812) and calibration (Hosmer-Lemeshow test: P = 0.123) in the derivation dataset and an optimal cut-off value of 12 yield sensitivity of 61.3%, specificity of 82.7%. The model also had achieved similar performance in the external validation dataset. In conclusion, this model can be a practical tool to identify and triage population at high risk of cirrhosis in at-risk alcohol drinkers without HBV/HCV infection. PREVENTION RELEVANCE The risk model we developed will not only be used as a practical tool to triage high risk groups for liver cirrhosis, but also have implications for public health measures, such as guidelines for the prevention of liver cancer, in at-risk alcohol drinkers without HBV/HCV infection.
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Affiliation(s)
- Yin Liu
- Department of Cancer Epidemiology, Henan Engineering Research Center of Cancer Prevention and Control, Henan International Joint Laboratory of Cancer Prevention, The Affiliated Cancer Hospital of Zhengzhou University & Henan Cancer Hospital, Zhengzhou, China
| | - Lan-Wei Guo
- Department of Cancer Epidemiology, Henan Engineering Research Center of Cancer Prevention and Control, Henan International Joint Laboratory of Cancer Prevention, The Affiliated Cancer Hospital of Zhengzhou University & Henan Cancer Hospital, Zhengzhou, China
| | - Hui-Fang Xu
- Department of Cancer Epidemiology, Henan Engineering Research Center of Cancer Prevention and Control, Henan International Joint Laboratory of Cancer Prevention, The Affiliated Cancer Hospital of Zhengzhou University & Henan Cancer Hospital, Zhengzhou, China
| | - Rui-Hua Kang
- Department of Cancer Epidemiology, Henan Engineering Research Center of Cancer Prevention and Control, Henan International Joint Laboratory of Cancer Prevention, The Affiliated Cancer Hospital of Zhengzhou University & Henan Cancer Hospital, Zhengzhou, China
| | - Li-Yang Zheng
- Department of Cancer Epidemiology, Henan Engineering Research Center of Cancer Prevention and Control, Henan International Joint Laboratory of Cancer Prevention, The Affiliated Cancer Hospital of Zhengzhou University & Henan Cancer Hospital, Zhengzhou, China
| | - Lu-Yao Zhang
- Department of Cancer Epidemiology, Henan Engineering Research Center of Cancer Prevention and Control, Henan International Joint Laboratory of Cancer Prevention, The Affiliated Cancer Hospital of Zhengzhou University & Henan Cancer Hospital, Zhengzhou, China
| | - Qiong Chen
- Department of Cancer Epidemiology, Henan Engineering Research Center of Cancer Prevention and Control, Henan International Joint Laboratory of Cancer Prevention, The Affiliated Cancer Hospital of Zhengzhou University & Henan Cancer Hospital, Zhengzhou, China
| | - Xi-Bin Sun
- Department of Cancer Epidemiology, Henan Engineering Research Center of Cancer Prevention and Control, Henan International Joint Laboratory of Cancer Prevention, The Affiliated Cancer Hospital of Zhengzhou University & Henan Cancer Hospital, Zhengzhou, China
| | - You-Lin Qiao
- Department of Cancer Epidemiology, Henan Engineering Research Center of Cancer Prevention and Control, Henan International Joint Laboratory of Cancer Prevention, The Affiliated Cancer Hospital of Zhengzhou University & Henan Cancer Hospital, Zhengzhou, China.,Department of Epidemiology and Biostatistics, School of Population Medicine and Public Health, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - Shao-Kai Zhang
- Department of Cancer Epidemiology, Henan Engineering Research Center of Cancer Prevention and Control, Henan International Joint Laboratory of Cancer Prevention, The Affiliated Cancer Hospital of Zhengzhou University & Henan Cancer Hospital, Zhengzhou, China
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Ren W, Chen M, Qiao Y, Zhao F. Global guidelines for breast cancer screening: A systematic review. Breast 2022; 64:85-99. [PMID: 35636342 PMCID: PMC9142711 DOI: 10.1016/j.breast.2022.04.003] [Citation(s) in RCA: 91] [Impact Index Per Article: 45.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/29/2022] [Revised: 03/28/2022] [Accepted: 04/09/2022] [Indexed: 11/30/2022] Open
Abstract
Objectives Breast cancer screening guidelines could provide valuable tools for clinical decision making by reviewing the available evidence and providing recommendations. Little information is known about how many countries have issued breast cancer screening guidelines and the differences among existing guidelines. We systematically reviewed current guidelines and summarized corresponding recommendations, to provide references for good clinical practice in different countries. Methods Systematic searches of MEDLINE, EMBASE, Web of Science, and Scopus from inception to March 27th, 2021 were conducted and supplemented by reviewing the guideline development organizations. The quality of screening guidelines was assessed from six domains of the Appraisal of Guidelines for Research and Evaluation Ⅱ (AGREE Ⅱ) instrument by two appraisers. The basic information and recommendations of the issued guidelines were extracted and summarized. Results A total of 23 guidelines issued between 2010 and 2021 in 11 countries or regions were identified for further review. The content and quality varied across the guidelines. The average AGREE Ⅱ scores of the guidelines ranged from 33.3% to 87.5%. The highest domain score was "clarity of presentation" while the domain with the lowest score was "applicability". For average-risk women, most of the guidelines recommended mammographic screening for those aged 40–74 years, specifically, those aged 50–69 years were regarded as the optimal age group for screening. Nine of 23 guidelines recommended against an upper age limit for breast cancer screening. Mammography (MAM) was recommended as the primary screening modality for average-risk women by all included guidelines. Most guidelines suggested annual or biennial mammographic screening. Risk factors of breast cancer identified in the guidelines mainly fell within five categories which could be broadly summarized as the personal history of pre-cancerous lesions and/or breast cancer; the family history of breast cancer; the known genetic predisposition of breast cancer; the history of mantle or chest radiation therapy; and dense breasts. For women at higher risk, there was a consensus among most guidelines that annual MAM or annual magnetic resonance imaging (MRI) should be given, and the screening should begin earlier than the average-risk group. Conclusions The majority of 23 included international guidelines were issued by developed countries which contained roughly the same but not identical recommendations on breast cancer screening age, methods, and intervals. Most guidelines recommended annual or biennial mammographic screening between 40 and 74 years for average-risk populations and annual MAM or annual MRI starting from a younger age for high-risk populations. Current guidelines varied in quality and increased efforts are needed to improve the methodological quality of guidance documents. Due to lacking clinical practice guidelines tailored to different economic levels, low- and middle-income countries (LMICs) should apply and implement the evidence-based guidelines with higher AGREE Ⅱ scores considering local adaption. This systematic review comprehensively maps the recommendations of the latest international breast screening guidelines, providing valuable tools for clinical decision making in different settings. Most guidelines recommend annual or biennial mammographic screening between 40 and 74 years for the average-risk populations and annual MAM or annual MRI starting from a younger age for the high-risk populations. However, there are indeed discrepancies in screening age, methods, and intervals among countries. High-quality evidence and rigorous methodology are the keys to guidance development, but current guidelines vary in methodological quality.
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Affiliation(s)
- Wenhui Ren
- Department of Cancer Epidemiology, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China.
| | - Mingyang Chen
- Center for Global Health, School of Population Medicine and Public Health, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing, China.
| | - Youlin Qiao
- Center for Global Health, School of Population Medicine and Public Health, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing, China.
| | - Fanghui Zhao
- Department of Cancer Epidemiology, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China.
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Wang W, Qiao L, Dong W, Ren J, Chang X, Zhan S, Du P, Xi Y, Wang S. Differences in the Association Between Modifiable Lifestyle Factors and Gastric Precancerous Lesions Among Mongolians and Han Chinese. Front Oncol 2022; 12:798829. [PMID: 35719924 PMCID: PMC9200956 DOI: 10.3389/fonc.2022.798829] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/20/2021] [Accepted: 05/06/2022] [Indexed: 12/24/2022] Open
Abstract
Background There has been a paucity of evidence examining whether preventable behavioral risk factors led to ethnic differences of gastric precancerous lesions (GPL). We aimed to investigate the ethnic disparity of associations between GPL and lifestyle factors in Mongolian and Han Chinese populations. Methods The study included participants aged 36-75 years enrolled in the Cancer Screening Program during 2016-2017 in Hohhot and Tongliao City, Inner Mongolia. GPL was defined as the gross cascading events (i.e., gastric ulcer, atrophic gastritis, intestinal metaplasia, and dysplasia) that preceded gastric cancer. Results A total of 61638 participants were included, of whom 6863(11·1%) were Mongolians. Alcohol consumption was positively associated with GPL risk in both ethnic groups, but the magnitude was greater in Mongolians (odds ratio (OR) 6·91, 95%CI 5·82-8·28) than in Han Chinese (OR 5·64, 95%CI 5·27-6·04), corresponding to a higher population attributable fraction (PAF) for Mongolians (53·18% vs 43·71%). Besides, the strength of the positive association between physical inactivity and GPL risk was greater among Mongolians (OR 2·02, 95%CI 1·70-2·41; OR 1·09, 95%CI 1·02-1·17 among Han Chinese) with a higher PAF. Smoking was strongly associated with GPL risk in both ethnic groups as well, but the association was more prominent among Han Chinese (OR 5·24 (1·70-2·41) for <10 cigarettes/d, 8·19 (7·48-8·97) for 11-20 cigarettes/d, 7·07 (6·40-7·81) for ≥21 cigarettes/d; the corresponding ORs were 2·96 (2·19-4·00), 6·22 (5·04-7·68), and 7·03 (5·45-9·08) among Mongolians). Lastly, our findings revealed that a significant correlation between insufficient fruits and vegetable consumption and GPL risk was only found among Mongolians (OR 1·27, 95%CI 1·04-1·56). Conclusions Our result suggested that high-risk lifestyle factors should be reduced, particularly in Mongolians. Further studies are needed to elucidate the underlying mechanisms and to reduce health disparities in underserved ethnic groups.
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Affiliation(s)
- Weiwei Wang
- National Clinical Research Center for Mental Disorders and Beijing Key Laboratory of Mental Disorders, Beijing Anding Hospital, Capital Medical University, Beijing, China
| | - Liying Qiao
- The Inner Mongolia Autonomous Region Comprehensive Center for Disease Control and Prevention, Hohhot, China
| | - Weiqi Dong
- Baotou Medical College, School of Public Health, Baotou, China
| | - Jing Ren
- Baotou Medical College, School of Public Health, Baotou, China
| | - Xiaotian Chang
- Department of Psychology, University of Michigan-Ann Arbor, Ann Arbor, MI, United States
| | - Siyan Zhan
- Department of Epidemiology and Biostatistics, School of Public Health, Peking University, Beijing, China.,Research Center of Clinical Epidemiology, Peking University Third Hospital, Beijing, China.,Center for Intelligent Public Health, Institute for Artificial Intelligence, Peking University, Beijing, China
| | - Peng Du
- Key Laboratory of Carcinogenesis and Translational Research (Ministry of Education/Beijing), Department of Urology, Peking University Cancer Hospital and Institute, Beijing, China
| | - Yunfeng Xi
- The Inner Mongolia Autonomous Region Comprehensive Center for Disease Control and Prevention, Hohhot, China
| | - Shengfeng Wang
- Department of Epidemiology and Biostatistics, School of Public Health, Peking University, Beijing, China
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12
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Diagnostic Efficacy across Dense and Non-Dense Breasts during Digital Breast Tomosynthesis and Ultrasound Assessment for Recalled Women. Diagnostics (Basel) 2022; 12:diagnostics12061477. [PMID: 35741287 PMCID: PMC9222054 DOI: 10.3390/diagnostics12061477] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/30/2022] [Revised: 06/13/2022] [Accepted: 06/14/2022] [Indexed: 11/20/2022] Open
Abstract
Background: To compare the diagnostic efficacy of digital breast tomosynthesis (DBT) and ultrasound across breast densities in women recalled for assessment. Methods: A total of 482 women recalled for assessment from January 2017 to December 2019 were selected for the study. Women met the inclusion criteria if they had undergone DBT, ultrasound and had confirmed biopsy results. We calculated sensitivity, specificity, PPV, and AUC for DBT and ultrasound. Results: In dense breasts, DBT showed significantly higher sensitivity than ultrasound (98.2% vs. 80%; p < 0.001), but lower specificity (15.4% vs. 55%; p < 0.001), PPV (61.3% vs. 71%; p = 0.04) and AUC (0.568 vs. 0.671; p = 0.001). In non-dense breasts, DBT showed significantly higher sensitivity than ultrasound (99.2% vs. 84%; p < 0.001), but no differences in specificity (22% vs. 33%; p = 0.14), PPV (69.2% vs. 68.8%; p = 0.93) or AUC (0.606 vs. 0.583; p = 0.57). Around 73% (74% dense and 71% non-dense) and 77% (81% dense and 72% non-dense) of lesions assigned a RANZCR 3 by DBT and ultrasound, respectively, were benign. Conclusion: DBT has higher sensitivity, but lower specificity and PPV than ultrasound in women with dense breasts recalled for assessment. Most lesions rated RANZCR 3 on DBT and ultrasound are benign and may benefit from short interval follow-up rather than biopsy.
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Liu Y, Guo L, Xu HF, Kang RH, Zheng LY, Zhang LY, Chen Q, Sun XB, Zhang SK, Qiao YL. Risk of liver cirrhosis in HBV/HCV-infected individuals with first-degree relatives who have liver cancer: development and validation of a simple model. Cancer Prev Res (Phila) 2021; 15:111-120. [PMID: 34675066 DOI: 10.1158/1940-6207.capr-21-0220] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/24/2021] [Revised: 08/23/2021] [Accepted: 10/13/2021] [Indexed: 11/16/2022]
Abstract
Identification of high-risk population among HBV/HCV-infected individuals with first-degree relatives (FDRs) who have liver cancer is important to implement precise intervention. A cross-sectional study was conducted under the framework of a population-based Cancer Screening Program in Urban China (CanSPUC), aimed to develop and validate a simple non-invasive model that could assess and stratify cirrhosis risk, in HBV/HCV-infected individuals with FDRs who have liver cancer. People who participated in liver cancer screening in Henan province were enrolled. Using the dataset consisting of participants admitted from October 1,2013 to December 31, 2016, a 24-point scale risk score model was developed through logistic regression, based on education background, dietary habit, smoking index, cooking oil fume exposure, history of severe trauma, HBV/HCV infection status, history of diabetes, history of hyperlipidaemia, and parent history of liver cancer. The model showed excellent discrimination with AUROC of 0.875 (95%CI: 0.853-0.896) and fair calibration with a Hosmer-Lemeshow test P=0.106. The prevalence rates in the medium- and high-risk groups were 2.87 (95%CI: 1.94-4.25) and 47.57 (95%CI: 31.59-71.63) times of low-risk group, respectively. After internal validation, bias-corrected AUROC was 0.874 (95%CI: 0.873-0.875). In the external validation dataset consisting of participants admitted from January 1,2017 to October 31, 2018, the model had achieved similar discrimination, calibration and risk stratification ability. In conclusion, this risk score model we developed can be a practical tool for the screening and prevention of liver cirrhosis among HBV/HCV-infected individuals with FDRs who have liver cancer.
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Affiliation(s)
- Yin Liu
- Department of Cancer Epidemiology, Henan Cancer Hospital
| | - Lanwei Guo
- Department of Cancer Epidemiology and Prevention, The Affiliated Cancer Hospital of Zhengzhou University, Henan Cancer Hospital
| | - Hui-Fang Xu
- Epidemiology, National Cancer Center/National Clinical Research Center for Cancer/ Cancer Hospital, Chinese Academy of Medical Sciences and Peking, Union Medical College
| | - Rui-Hua Kang
- Department of Cancer Epidemiology and Prevention, The Affiliated Cancer Hospital of Zhengzhou University, Henan Cancer Hospital
| | - Li-Yang Zheng
- Department of Cancer Epidemiology, Henan Cancer Hospital
| | - Lu-Yao Zhang
- Department of Cancer Epidemiology, Henan Cancer Hospital
| | - Qiong Chen
- Office for Cancer Control and Prevention, Henan Province Cancer Hospital
| | - Xi Bin Sun
- Department of Cancer Epidemiology, Affiliated Cancer Hospital of Zhengzhou University, Henan Cancer Hospital
| | - Shao-Kai Zhang
- Department of Cancer Epidemiology, Henan Cancer Hospital
| | - You-Lin Qiao
- Center for Global Health, Chinese Academy of Medical Sciences and Peking Union Medical College
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14
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Zhang M, Wei W, Li Q, Chen X, Zhang M, Zuo D, Liu Q. Determinants of Intention to Participate in Breast Cancer Screening among Urban Chinese Women: An Application of the Protection Motivation Theory. INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH 2021; 18:ijerph182111093. [PMID: 34769613 PMCID: PMC8583142 DOI: 10.3390/ijerph182111093] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 09/11/2021] [Revised: 10/09/2021] [Accepted: 10/18/2021] [Indexed: 11/16/2022]
Abstract
Despite the significance of early detection of breast cancer through screening, the screening uptake in China remains relatively low. Protection motivation theory (PMT) suggested by Rogers is one of the theories concerning threat appeal. This study aimed to apply the protection motivation theory (PMT) in predicting breast cancer screening intention. In this cross-sectional study, a sample of Chinese urban women was recruited using the convenient sampling method from five communities in Wuhan. Data were collected using a self-report questionnaire that included demographic variables, knowledge about breast cancer, six PMT subconstructs, and screening intention. We used the structural equation modeling (SEM) to identify the predictor factors associated with screening intention. Of the total sample (n = 412), 86.65% had intention to participate in screening. Our data fit the hypothesized SEM model well (Goodness of fit index (GFI) = 0.91, adjusted GFI (AGFI) = 0.89, comparative fit index (CFI) = 0.91, root mean square error of approximation (RMSEA) = 0.05, standardized root mean residual (SRMR) = 0.06, and Chi-square/df = 2.01). Three PMT subconstructs (perceived severity, response cost, and self-efficacy) were significantly associated with screening intention. Knowledge, social status, and medical history had significantly indirect associations with screening intention through the mediating effect of PMT subconstructs. Considering the utility of PMT, intervention programs might be more effective based on the subconstructs of PMT, especially to improve self-efficacy, perceived severity, and knowledge, reduce response cost, as well as targeting specific demographic groups.
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Affiliation(s)
- Miao Zhang
- Department of Epidemiology, School of Health Sciences, Wuhan University, Wuhan 430071, China; (M.Z.); (W.W.); (D.Z.)
| | - Wenshuang Wei
- Department of Epidemiology, School of Health Sciences, Wuhan University, Wuhan 430071, China; (M.Z.); (W.W.); (D.Z.)
| | - Qinmei Li
- Wuhan Center for Disease Control and Prevention, Wuhan 430015, China;
| | - Xinguang Chen
- Department of Epidemiology, University of Florida, Gainesville, FL 32610, USA;
| | - Min Zhang
- Institute of Cancer Prevention and Control, Wuhan 430079, China;
| | - Dan Zuo
- Department of Epidemiology, School of Health Sciences, Wuhan University, Wuhan 430071, China; (M.Z.); (W.W.); (D.Z.)
| | - Qing Liu
- Department of Epidemiology, School of Health Sciences, Wuhan University, Wuhan 430071, China; (M.Z.); (W.W.); (D.Z.)
- Correspondence: ; Tel.: +86-1372-026-4816
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Huo L, Tan Y, Wang S, Geng C, Li Y, Ma X, Wang B, He Y, Yao C, Ouyang T. Machine Learning Models to Improve the Differentiation Between Benign and Malignant Breast Lesions on Ultrasound: A Multicenter External Validation Study. Cancer Manag Res 2021; 13:3367-3379. [PMID: 33889025 PMCID: PMC8057795 DOI: 10.2147/cmar.s297794] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/23/2020] [Accepted: 03/23/2021] [Indexed: 12/24/2022] Open
Abstract
Purpose This study aimed to establish and evaluate the usefulness of a simple, practical, and easy-to-promote machine learning model based on ultrasound imaging features for diagnosing breast cancer (BC). Materials and Methods Logistic regression, random forest, extra trees, support vector, multilayer perceptron, and XG Boost models were developed. The modeling data set of 1345 cases was from a tertiary class A hospital in China. The external validation data set of 1965 cases were from 3 tertiary class A hospitals and 2 primary hospitals. The area under the receiver operating characteristic curve (AUC) was used as the main evaluation index, and pathological biopsy was used as the gold standard for evaluating each model. Diagnostic capability was also compared with that of clinicians. Results Among the six models, the logistic model showed superior diagnostic efficiency, with an AUC of 0.771 and 0.906 and Brier scores of 0.181 and 0.165 in the test and validation sets, respectively. The AUCs of the clinician diagnosis and the logistic model were 0.913 and 0.906. Their AUCs in the tertiary class A hospitals were 0.915 and 0.915, respectively, and were 0.894 and 0.873 in primary hospitals, respectively. Conclusion The externally validated logical model can be used to distinguish between malignant and benign breast lesions in ultrasound images. Compared with clinician diagnosis, the logistic model has better diagnostic efficiency, making it potentially useful to assist in screening, particularly in lower level medical institutions. Trial Registration http://www.clinicaltrials.gov. ClinicalTrials.gov ID: NCT03080623.
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Affiliation(s)
- Ling Huo
- Key Laboratory of Carcinogenesis and Translational Research (Ministry of Education/Beijing), Breast Center, Peking University Cancer Hospital & Institute, Beijing, People's Republic of China
| | - Yao Tan
- Department of Biostatistics, Peking University First Hospital, Beijing, People's Republic of China
| | - Shu Wang
- Department of Breast Center, Peking University People's Hospital, Beijing, People's Republic of China
| | - Cuizhi Geng
- The Fourth Hospital of Hebei Medical University, Shijiazhuang, People's Republic of China
| | - Yi Li
- Shunyi District Health Care Hospital for Women and Children of Beijing, Beijing, People's Republic of China
| | - XiangJun Ma
- Haidian Maternal and Child Health Hospital, Beijing, People's Republic of China
| | - Bin Wang
- Department of Biostatistics, Peking University First Hospital, Beijing, People's Republic of China
| | - YingJian He
- Key Laboratory of Carcinogenesis and Translational Research (Ministry of Education/Beijing), Breast Center, Peking University Cancer Hospital & Institute, Beijing, People's Republic of China
| | - Chen Yao
- Department of Biostatistics, Peking University First Hospital, Beijing, People's Republic of China.,Peking University Clinical Research Institute, Peking University Health Science Center, Beijing, People's Republic of China
| | - Tao Ouyang
- Key Laboratory of Carcinogenesis and Translational Research (Ministry of Education/Beijing), Breast Center, Peking University Cancer Hospital & Institute, Beijing, People's Republic of China
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Zuwasti U, Abbey G, Pollack E, Scheel J, Chong A. Breast Imaging in Global Health: Serving the Underserved. CURRENT RADIOLOGY REPORTS 2020. [DOI: 10.1007/s40134-020-00349-z] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/24/2022]
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17
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Berg WA, Vourtsis A. Screening Breast Ultrasound Using Handheld or Automated Technique in Women with Dense Breasts. JOURNAL OF BREAST IMAGING 2019; 1:283-296. [PMID: 38424808 DOI: 10.1093/jbi/wbz055] [Citation(s) in RCA: 54] [Impact Index Per Article: 10.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/10/2019] [Accepted: 08/01/2019] [Indexed: 03/02/2024]
Abstract
In women with dense breasts (heterogeneously or extremely dense), adding screening ultrasound to mammography increases detection of node-negative invasive breast cancer. Similar incremental cancer detection rates averaging 2.1-2.7 per 1000 have been observed for physician- and technologist-performed handheld ultrasound (HHUS) and automated ultrasound (AUS). Adding screening ultrasound (US) for women with dense breasts significantly reduces interval cancer rates. Training is critical before interpreting examinations for both modalities, and a learning curve to achieve optimal performance has been observed. On average, about 3% of women will be recommended for biopsy on the prevalence round because of screening US, with a wide range of 2%-30% malignancy rates for suspicious findings seen only on US. Breast Imaging Reporting and Data System 3 lesions identified only on screening HHUS can be safely followed at 1 year rather than 6 months. Computer-aided detection and diagnosis software can augment performance of AUS and HHUS; ongoing research on machine learning and deep learning algorithms will likely improve outcomes and workflow with screening US.
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Affiliation(s)
- Wendie A Berg
- University of Pittsburgh School of Medicine, Magee-Womens Hospital of the University of Pittsburgh School of Medicine, Department of Radiology, Pittsburgh, PA
| | - Athina Vourtsis
- Diagnostic Mammography Medical Diagnostic Imaging Unit, Athens, Greece
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