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Assessing Public Interest in Mammography, Computed Tomography Lung Cancer Screening, and Computed Tomography Colonography Screening Examinations Using Internet Search Data: Cross-Sectional Study

Assessing Public Interest in Mammography, Computed Tomography Lung Cancer Screening, and Computed Tomography Colonography Screening Examinations Using Internet Search Data: Cross-Sectional Study

Noninvasive imaging, such as mammography (MG), low-dose computed tomography (CT) for lung cancer screening (LCS), and CT colonography (CTC), plays important roles in the early detection of the most common cancer types and has demonstrated efficacy in reducing cancer-related and all-cause mortality rates [2,3].

Zachary D Zippi, Isabel O Cortopassi, Rolf A Grage, Elizabeth M Johnson, Matthew R McCann, Patricia J Mergo, Sushil K Sonavane, Justin T Stowell, Brent P Little

JMIR Cancer 2025;11:e53328

Breast Cancer Screening Participation and Internet Search Activity in a Japanese Population: Decade-Long Time-Series Study

Breast Cancer Screening Participation and Internet Search Activity in a Japanese Population: Decade-Long Time-Series Study

Several studies have indicated the efficacy of mammography screening for breast cancer in reducing the burden of breast cancer. Routine mammography screening has been shown to reduce breast cancer mortality by 25%‐31% [6,7]. The long-term effects of mammography have also been shown in a 30-year follow-up study [8]. In Japan, national policy recommends biennial mammography for breast cancer screening in women older than 40 years [9].

Noriaki Takahashi, Mutsuhiro Nakao, Tomio Nakayama, Tsutomu Yamazaki

JMIR Cancer 2025;11:e64020

Evaluation of Douyin Short Videos on Mammography in China: Quality and Reliability Analysis

Evaluation of Douyin Short Videos on Mammography in China: Quality and Reliability Analysis

However, the examination of mammography-related video content remains limited. To date, only 2 studies have assessed the quality of mammography videos on You Tube [26,27], both of which identified inconsistencies in the quality of information presented. Notably, no studies have yet evaluated mammography-related content on Douyin, the Chinese counterpart of Tik Tok.

Hongwu Yang, Chuangying Zhu, Chunyan Zhou, Ruibin Huang, Lipeng Huang, Peifen Chen, Shanshan Zhu, Huanpeng Wang, Chunmin Zhu

JMIR Cancer 2025;11:e59483

Analyzing Geospatial and Socioeconomic Disparities in Breast Cancer Screening Among Populations in the United States: Machine Learning Approach

Analyzing Geospatial and Socioeconomic Disparities in Breast Cancer Screening Among Populations in the United States: Machine Learning Approach

Mammography-based screening detects lesions before they achieved clinical visibility [3]. Evidence shows that high-quality routine screening programs have led to a 25% to 31% reduction in breast cancer–related mortality among women aged 50 to 69 years [4]. The US Preventive Services Task Force recommends mammography every two years for women aged 40 to 74 years [5].

Soheil Hashtarkhani, Yiwang Zhou, Fekede Asefa Kumsa, Shelley White-Means, David L Schwartz, Arash Shaban-Nejad

JMIR Cancer 2025;11:e59882

The Framing Effect of Digital Textual Messages on Uptake Rates of Medical Checkups: Field Study

The Framing Effect of Digital Textual Messages on Uptake Rates of Medical Checkups: Field Study

The campaign ran from July 2020 to December 2021 and targeted the following medical procedures: mammography (for women), human papillomavirus (HPV; for women), abdominal aortic aneurysm screening (for men), and the FOBT and pneumococcal vaccination (for men and women).

Amnon Maltz, Stella Rashkovich, Adi Sarid, Yafit Cohen, Tamar Landau, Elina Saifer, Neta Amorai Belkin, Tamar Alcalay

JMIR Public Health Surveill 2024;10:e45379

Effect of Benign Biopsy Findings on an Artificial Intelligence–Based Cancer Detector in Screening Mammography: Retrospective Case-Control Study

Effect of Benign Biopsy Findings on an Artificial Intelligence–Based Cancer Detector in Screening Mammography: Retrospective Case-Control Study

Retrospective studies have shown that outcomes might improve when radiologists combine mammography readings with an artificial intelligence (AI) system for computer-aided detection (CAD) [7-9]. Furthermore, reducing reading time with the assistance of an AI CAD system is possible [10,11]. An AI CAD system can be highly accurate for reading mammograms, and some systems are now on a comparable level with average breast radiologists at detecting breast cancer on screening mammography [12].

Athanasios Zouzos, Aleksandra Milovanovic, Karin Dembrower, Fredrik Strand

JMIR AI 2023;2:e48123

Impact of COVID-19 on Public Interest in Breast Cancer Screening and Related Symptoms: Google Trends Analysis

Impact of COVID-19 on Public Interest in Breast Cancer Screening and Related Symptoms: Google Trends Analysis

An important measure to reduce breast cancer mortality is the use of population screening by mammography, which aims to diagnose breast cancer at an earlier stage [5]. Female individuals diagnosed with breast cancer at an early stage have 5-year survival rates in excess of 90%, dropping to 85% after locoregional spread and 29% with distant disease [6].

Si Ying Tan, Matilda Swee Sun Tang, Chin-Ann Johnny Ong, Veronique Kiak Mien Tan, Nicholas Brian Shannon

JMIR Cancer 2023;9:e39105

Impact of the COVID-19 Pandemic on Clinical Findings in Medical Imaging Exams in a Nationwide Israeli Health Organization: Observational Study

Impact of the COVID-19 Pandemic on Clinical Findings in Medical Imaging Exams in a Nationwide Israeli Health Organization: Observational Study

Therefore, we studied the impact of the COVID-19 pandemic on the utilization of outpatient medical imaging exams and the clinical findings that were observed therein, focusing mainly on magnetic resonance (MR) imaging, computed tomography (CT), and mammography (MG) exams. This study leveraged longitudinal data from a large nationwide cohort of 572,480 ambulatory medical imaging patients aged 18 years and older.

Michal Ozery-Flato, Liat Ein-Dor, Ora Pinchasov, Miel Dabush Kasa, Efrat Hexter, Gabriel Chodick, Michal Rosen-Zvi, Michal Guindy

JMIR Form Res 2023;7:e42930

Acceptability of Automated Robotic Clinical Breast Examination: Survey Study

Acceptability of Automated Robotic Clinical Breast Examination: Survey Study

This trend correlates with the introduction of widespread breast cancer screening using x-ray mammography [4]. In the United Kingdom, mammography is offered to women aged 50 to 70 years through the National Health Service (NHS) Breast Cancer Screening Programme [3]. Screening is estimated to reduce the relative risk of breast cancer mortality by 20% [5] and is linked to many lives saved each year [6]. However, mammography is not suitable for all groups who could benefit from breast cancer screening [7].

George P Jenkinson, Natasha Houghton, Nejra van Zalk, Jo Waller, Fernando Bello, Antonia Tzemanaki

J Particip Med 2023;15:e42704

“Thanks for Letting Us All Share Your Mammogram Experience Virtually”: Developing a Web-Based Hub for Breast Cancer Screening

“Thanks for Letting Us All Share Your Mammogram Experience Virtually”: Developing a Web-Based Hub for Breast Cancer Screening

We explored initial ideas through focus groups with potential service users (contextual inquiry) and from these emerged the idea that an online forum would meet women’s needs in seeking resources on mammography [12]. Potential features of the hub were ranked in importance in a modified card-sort by service users and practitioners. A beta version of the hub was developed and tested for usability issues with 6 service users (design), allowing tweaks before a wider launch.

Adam Galpin, Joanne Meredith, Cathy Ure, Leslie Robinson

JMIR Cancer 2017;3(2):e17