Search Results - "Tammemagi, C Martin"

Evaluation of the lung cancer risks at which to screen ever- and never-smokers: screening rules applied to the PLCO and NLST cohorts by Tammemägi, Martin C, Church, Timothy R, Hocking, William G, Silvestri, Gerard A, Kvale, Paul A, Riley, Thomas L, Commins, John, Berg, Christine D

“…Lung cancer risks at which individuals should be screened with computed tomography (CT) for lung cancer are undecided. This study's objectives are to identify…”
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Selection Criteria for Lung-Cancer Screening by Tammemägi, Martin C, Katki, Hormuzd A, Hocking, William G, Church, Timothy R, Caporaso, Neil, Kvale, Paul A, Chaturvedi, Anil K, Silvestri, Gerard A, Riley, Tom L, Commins, John, Berg, Christine D

“…Low-dose CT scanning reduces lung-cancer mortality. Further improvements are possible if the screened population includes a larger proportion of high-risk…”
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Interstitial lung abnormalities in a CT lung cancer screening population: prevalence and progression rate by Jin, Gong Yong, Lynch, David, Chawla, Ashish, Garg, Kavita, Tammemagi, Martin C, Sahin, Hakan, Misumi, Shigeki, Kwon, Keun Sang

“…To determine the prevalence of interstitial lung abnormalities (ILAs) at initial computed tomography (CT) examination and the rate of progression of ILAs on…”
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A Comparative Modeling Analysis of Risk-Based Lung Cancer Screening Strategies by ten Haaf, Kevin, Bastani, Mehrad, Cao, Pianpian, Jeon, Jihyoun, Toumazis, Iakovos, Han, Summer S, Plevritis, Sylvia K, Blom, Erik F, Kong, Chung Yin, Tammemägi, Martin C, Feuer, Eric J, Meza, Rafael, de Koning, Harry J

“…Abstract Background Risk-prediction models have been proposed to select individuals for lung cancer screening. However, their long-term effects are uncertain…”
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Probability of Cancer in Pulmonary Nodules Detected on First Screening CT by McWilliams, Annette, Tammemagi, Martin C, Mayo, John R, Roberts, Heidi, Liu, Geoffrey, Soghrati, Kam, Yasufuku, Kazuhiro, Martel, Simon, Laberge, Francis, Gingras, Michel, Atkar-Khattra, Sukhinder, Berg, Christine D, Evans, Ken, Finley, Richard, Yee, John, English, John, Nasute, Paola, Goffin, John, Puksa, Serge, Stewart, Lori, Tsai, Scott, Johnston, Michael R, Manos, Daria, Nicholas, Garth, Goss, Glenwood D, Seely, Jean M, Amjadi, Kayvan, Tremblay, Alain, Burrowes, Paul, MacEachern, Paul, Bhatia, Rick, Tsao, Ming-Sound, Lam, Stephen

“…Using data from two large data sets of lung-cancer screening by CT, the authors identified factors that increased the likelihood that a nodule was malignant,…”
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Risk Prediction Model Versus United States Preventive Services Task Force Lung Cancer Screening Eligibility Criteria: Reducing Race Disparities by Pasquinelli, Mary M, Tammemägi, Martin C, Kovitz, Kevin L, Durham, Marianne L, Deliu, Zanë, Rygalski, Kayleigh, Liu, Li, Koshy, Matthew, Finn, Patricia, Feldman, Lawrence E

“…Disparities exist in lung cancer outcomes between African American and white people. The current United States Preventive Services Task Force (USPSTF) lung…”
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Personalising lung cancer screening: An overview of risk‐stratification opportunities and challenges by Haaf, Kevin, Aalst, Carlijn M., Koning, Harry J., Kaaks, Rudolf, Tammemägi, Martin C.

“…Randomised clinical trials have shown the efficacy of computed tomography lung cancer screening, initiating discussions on whether and how to implement…”
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Lung Screening Benefits and Challenges: A Review of The Data and Outline for Implementation by Sands, Jacob, Tammemägi, Martin C, Couraud, Sebastien, Baldwin, David R, Borondy-Kitts, Andrea, Yankelevitz, David, Lewis, Jennifer, Grannis, Fred, Kauczor, Hans-Ulrich, von Stackelberg, Oyunbileg, Sequist, Lecia, Pastorino, Ugo, McKee, Brady

“…Lung cancer is the leading cause of cancer-related deaths worldwide, accounting for almost a fifth of all cancer-related deaths. Annual computed tomographic…”
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Lung Cancer Risk Prediction: Prostate, Lung, Colorectal and Ovarian Cancer Screening Trial Models and Validation by Tammemagi, C. Martin, Pinsky, Paul F., Caporaso, Neil E., Kvale, Paul A., Hocking, William G., Church, Timothy R., Riley, Thomas L., Commins, John, Oken, Martin M., Berg, Christine D., Prorok, Philip C.

“…Introduction Identification of individuals at high risk for lung cancer should be of value to individuals, patients, clinicians, and researchers. Existing…”
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Lung cancer screening use and implications of varying eligibility criteria by race and ethnicity: 2019 Behavioral Risk Factor Surveillance System data by Williams, Randi M., Li, Tengfei, Luta, George, Wang, Min Qi, Adams‐Campbell, Lucile, Meza, Rafael, Tammemägi, Martin C., Taylor, Kathryn L.

“…Background In 2021, the US Preventive Services Task Force (USPSTF) expanded the eligibility criteria for low‐dose computed tomographic lung cancer screening…”
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Addressing Sex Disparities in Lung Cancer Screening Eligibility: USPSTF vs PLCOm2012 Criteria by Pasquinelli, Mary M, Tammemägi, Martin C, Kovitz, Kevin L, Durham, Marianne L, Deliu, Zanë, Guzman, Arielle, Rygalski, Kayleigh, Liu, Li, Koshy, Matthew, Finn, Patricia, Feldman, Lawrence E

“…Lung cancer is the leading cause of cancer death in women in the United States. Prospective randomized lung screening trials suggest a greater lung cancer…”
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Radiomics analysis to predict pulmonary nodule malignancy using machine learning approaches by Warkentin, Matthew T, Al-Sawaihey, Hamad, Lam, Stephen, Liu, Geoffrey, Diergaarde, Brenda, Yuan, Jian-Min, Wilson, David O, Atkar-Khattra, Sukhinder, Grant, Benjamin, Brhane, Yonathan, Khodayari-Moez, Elham, Murison, Kiera R, Tammemagi, Martin C, Campbell, Kieran R, Hung, Rayjean J

“…Low-dose CT screening can reduce lung cancer-related mortality. However, most screen-detected pulmonary abnormalities do not develop into cancer and it often…”
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Race & sex disparities related to low-dose computed tomography lung cancer screening eligibility criteria: A lung cancer cases review by Williams, Randi M., Kareff, Samuel A., Sackstein, Paul, Roy, Tina, Luta, George, Kim, Chul, Taylor, Kathryn L., Tammemägi, Martin C.

“…•USPSTF recommendations do not account for race and sex differences in lung cancer.•Using Georgetown tumor registry, we identified lung cancer cases between…”
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Development and Validation of a Multivariable Lung Cancer Risk Prediction Model That Includes Low-Dose Computed Tomography Screening Results: A Secondary Analysis of Data From the National Lung Screening Trial by Tammemägi, Martin C, Ten Haaf, Kevin, Toumazis, Iakovos, Kong, Chung Yin, Han, Summer S, Jeon, Jihyoun, Commins, John, Riley, Thomas, Meza, Rafael

“…Low-dose computed tomography lung cancer screening is most effective when applied to high-risk individuals. To develop and validate a risk prediction model…”
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Comorbidity and Survival Disparities Among Black and White Patients With Breast Cancer by Tammemagi, C. Martin, Nerenz, David, Neslund-Dudas, Christine, Feldkamp, Carolyn, Nathanson, David

“…CONTEXT Reasons for the shorter survival of black breast cancer patients compared with their white counterparts are not completely understood. OBJECTIVE To…”
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Pro–Surfactant Protein B As a Biomarker for Lung Cancer Prediction by SIN, Don D, TAMMEMAGI, C. Martin, TAGUCHI, Ayumu, LAM, Stephen, BARNETT, Matt J, XIAOBO DUAN, TAM, Anthony, AUMAN, Heidi, ZIDING FENG, GOODMAN, Gary E, HANASH, Samir

“…Preliminary studies have identified pro-surfactant protein B (pro-SFTPB) to be a promising blood biomarker for non-small-cell lung cancer. We conducted a study…”
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Fifty-year forecasts of daily smoking prevalence: can Australia reach 5% by 2030? by Wade, Stephen, Weber, Marianne F, Sarich, Peter, Caruana, Michael, Watts, Christina, Vaneckova, Pavla, Ngo, Preston, Cressman, Sonya, Scollo, Michelle, Banks, Emily, Gartner, Coral E, Grogan, Paul B, Blakely, Tony, Tammemagi, Martin C, Canfell, Karen

“…To compare 50-year forecasts of Australian tobacco smoking rates in relation to trends in smoking initiation and cessation and in relation to a national target…”
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Lung Cancer Screening in Persons Who Never Smoked Has to be Evaluated-A Response to Letter to the Editor by Kerpel-Fronius, Anna, Tammemägi, Martin C, Cavic, Milena, Huber, Rudolf M, Yang, Dawei, Zulueta, Javier, Viola, Lucia, Mohan, Anant, Lee, Choon-Taek, Cavic, Milena, Schmidt, Heidi, Kazerooni, Ella, Sales Dos Santos, Ricardo, Kerpel-Fronius, Anna, Henschke, Claudia, Ventura, Luigi, Jiang, Long, Sozzi, Gabriella, Tammemägi, Martin, Lam, Stephen, Huber, Rudolf

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Prediction of lung cancer risk at follow-up screening with low-dose CT: a training and validation study of a deep learning method by Huang, Peng, Lin, Cheng T, Li, Yuliang, Tammemagi, Martin C, Brock, Malcolm V, Atkar-Khattra, Sukhinder, Xu, Yanxun, Hu, Ping, Mayo, John R, Schmidt, Heidi, Gingras, Michel, Pasian, Sergio, Stewart, Lori, Tsai, Scott, Seely, Jean M, Manos, Daria, Burrowes, Paul, Bhatia, Rick, Tsao, Ming-Sound, Lam, Stephen

“…Current lung cancer screening guidelines use mean diameter, volume or density of the largest lung nodule in the prior computed tomography (CT) or appearance of…”
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The Utility of Nodule Volume in the Context of Malignancy Prediction for Small Pulmonary Nodules by Mehta, Hiren J., MD, Ravenel, James G., MD, Shaftman, Stephanie R., MSc, MS, Tanner, Nichole T., MD, FCCP, Paoletti, Luca, MD, FCCP, Taylor, Katherine K., MS, Tammemagi, Martin C., PhD, Gomez, Mario, MD, Nietert, Paul J., PhD, Gould, Michael K., MD, FCCP, Silvestri, Gerard A., MD, FCCP

“…Background An estimated 150,000 pulmonary nodules are identified each year, and the number is likely to increase given the results of the National Lung…”
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