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Gordon P Watt

Showing results (11-20 of 24) with videos related to

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JNCI Cancer Spectrum|April 2, 2024
Association of breast cancer with quantitative mammographic density measures for women receiving contrast-enhanced mammographyGordon P Watt, Krishna N Keshavamurthy, Tuong L Nguyen, et al.
International Journal of Cancer|March 22, 2022
Association of contralateral breast cancer risk with mammographic density defined at higher-than-conventional intensity thresholdsGordon P Watt, Julia A Knight, Tuong L Nguyen, et al.
Cancer Prevention Research (Philadelphia, Pa.)|November 2, 2017
Prevalence of Aflatoxin-Associated <i>TP53R249S</i> Mutation in Hepatocellular Carcinoma in Hispanics in South TexasJingjing Jiao, Weibo Niu, Ying Wang, et al.
JAMA Network Open|January 9, 2025
Breast Cancer Susceptibility Gene Sequence Variations and Development of Contralateral Breast CancerAnne S Reiner, Gordon P Watt, Kathleen E Malone, et al.
Journal of the National Cancer Institute|July 16, 2025
Polygenic risk of coronary artery disease for long-term survivors of breast cancerGordon P Watt, Anne S Reiner, Xiang Shu, et al.
Breast Cancer Research : BCR|December 8, 2020
Association of breast cancer with MRI background parenchymal enhancement: the IMAGINE case-control studyGordon P Watt, Janice Sung, Elizabeth A Morris, et al.
NPJ Breast Cancer|November 30, 2021
Mammographic texture features associated with contralateral breast cancer in the WECARE StudyGordon P Watt, Julia A Knight, Christine Lin, et al.
Breast Cancer Research : BCR|January 23, 2024
A genome-wide association study of contralateral breast cancer in the Women's Environmental Cancer and Radiation Epidemiology StudyXiaohui Sun, Anne S Reiner, Anh Phong Tran, et al.
Journal of the National Cancer Institute|March 29, 2021
Smoking, Radiation Therapy, and Contralateral Breast Cancer Risk in Young WomenAnne S Reiner, Gordon P Watt, Esther M John, et al.
Radiology|September 26, 2023
Association of Breast Cancer Odds with Background Parenchymal Enhancement Quantified Using a Fully Automated Method at MRI: The IMAGINE StudyGordon P Watt, Snekha Thakran, Janice S Sung, et al.
Pageof 3

Showing results (11-20 of 24) with videos related to

Sort By:
Pageof 3
JNCI Cancer Spectrum|April 2, 2024
Association of breast cancer with quantitative mammographic density measures for women receiving contrast-enhanced mammographyGordon P Watt, Krishna N Keshavamurthy, Tuong L Nguyen, et al.
International Journal of Cancer|March 22, 2022
Association of contralateral breast cancer risk with mammographic density defined at higher-than-conventional intensity thresholdsGordon P Watt, Julia A Knight, Tuong L Nguyen, et al.
Cancer Prevention Research (Philadelphia, Pa.)|November 2, 2017
Prevalence of Aflatoxin-Associated <i>TP53R249S</i> Mutation in Hepatocellular Carcinoma in Hispanics in South TexasJingjing Jiao, Weibo Niu, Ying Wang, et al.
JAMA Network Open|January 9, 2025
Breast Cancer Susceptibility Gene Sequence Variations and Development of Contralateral Breast CancerAnne S Reiner, Gordon P Watt, Kathleen E Malone, et al.
Journal of the National Cancer Institute|July 16, 2025
Polygenic risk of coronary artery disease for long-term survivors of breast cancerGordon P Watt, Anne S Reiner, Xiang Shu, et al.
Breast Cancer Research : BCR|December 8, 2020
Association of breast cancer with MRI background parenchymal enhancement: the IMAGINE case-control studyGordon P Watt, Janice Sung, Elizabeth A Morris, et al.
NPJ Breast Cancer|November 30, 2021
Mammographic texture features associated with contralateral breast cancer in the WECARE StudyGordon P Watt, Julia A Knight, Christine Lin, et al.
Breast Cancer Research : BCR|January 23, 2024
A genome-wide association study of contralateral breast cancer in the Women's Environmental Cancer and Radiation Epidemiology StudyXiaohui Sun, Anne S Reiner, Anh Phong Tran, et al.
Journal of the National Cancer Institute|March 29, 2021
Smoking, Radiation Therapy, and Contralateral Breast Cancer Risk in Young WomenAnne S Reiner, Gordon P Watt, Esther M John, et al.
Radiology|September 26, 2023
Association of Breast Cancer Odds with Background Parenchymal Enhancement Quantified Using a Fully Automated Method at MRI: The IMAGINE StudyGordon P Watt, Snekha Thakran, Janice S Sung, et al.
Pageof 3