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118 results on '"Newell, John D., Jr."'

1. Prevalence of abnormal spirometry in individuals with a smoking history and no known obstructive lung disease

Author

Crapo, James D., Silverman, Edwin K., Make, Barry J., Regan, Elizabeth A., Beaty, Terri H., Castaldi, Peter J., Cho, Michael H., DeMeo, Dawn L., El Boueiz, Adel, Foreman, Marilyn G., Ghosh, Auyon, Hayden, Lystra P., Hersh, Craig P., Hetmanski, Jacqueline, Hobbs, Brian D., Hokanson, John E., Kim, Wonji, Laird, Nan, Lange, Christoph, Lutz, Sharon M., McDonald, Merry-Lynn, Prokopenko, Dmitry, Moll, Matthew, Morrow, Jarrett, Qiao, Dandi, Saferali, Aabida, Sakornsakolpat, Phuwanat, Wan, Emily S., Yun, Jeong, Centeno, Juan Pablo, Charbonnier, Jean-Paul, Coxson, Harvey O., Galban, Craig J., Han, MeiLan K., Hoffman, Eric A., Humphries, Stephen, Jacobson, Francine L., Judy, Philip F., Kazerooni, Ella A., Kluiber, Alex, Lynch, David A., Nardelli, Pietro, Newell, John D., Jr., Notary, Aleena, Oh, Andrea, Ross, James C., San Jose Estepar, Raul, Schroeder, Joyce, Sieren, Jered, Stoel, Berend C., Tschirren, Juerg, Van Beek, Edwin, van Ginneken, Bram, van Rikxoort, Eva, Sanchez Ferrero, Gonzalo Vegas, Veitel, Lucas, Washko, George R., Wilson, Carla G., Jensen, Robert, Everett, Douglas, Crooks, Jim, Pratte, Katherine, Strand, Matt, Austin, Erin, Kinney, Gregory, Young, Kendra A., Bhatt, Surya P., Bon, Jessica, Diaz, Alejandro A., Make, Barry, Murray, Susan, Regan, Elizabeth, Soler, Xavier, Bowler, Russell P., Kechris, Katerina, BanaeiKashani, Farnoush, Curtis, Jeffrey L., Pernicano, Perry G., Hanania, Nicola, Atik, Mustafa, Boriek, Aladin, Guntupalli, Kalpatha, Guy, Elizabeth, Parulekar, Amit, Hersh, Craig, Washko, George, Barr, R. Graham, Austin, John, D'Souza, Belinda, Thomashow, Byron, MacIntyre, Neil, Jr., McAdams, H. Page, Washington, Lacey, McEvoy, Charlene, Tashjian, Joseph, Wise, Robert, Brown, Robert, Hansel, Nadia N., Horton, Karen, Lambert, Allison, Putcha, Nirupama, Casaburi, Richard, Adami, Alessandra, Budoff, Matthew, Fischer, Hans, Porszasz, Janos, Rossiter, Harry, Stringer, William, Sharafkhaneh, Amir, Lan, Charlie, Wendt, Christine, Bell, Brian, Kunisaki, Ken M., Flenaugh, Eric L., Gebrekristos, Hirut, Ponce, Mario, Terpenning, Silanath, Westney, Gloria, Bowler, Russell, Rosiello, Richard, Pace, David, Criner, Gerard, Ciccolella, David, Cordova, Francis, Dass, Chandra, D'Alonzo, Gilbert, Desai, Parag, Jacobs, Michael, Kelsen, Steven, Kim, Victor, Mamary, A. James, Marchetti, Nathaniel, Satti, Aditi, Shenoy, Kartik, Steiner, Robert M., Swift, Alex, Swift, Irene, Vega-Sanchez, Maria Elena, Dransfield, Mark, Bailey, William, Iyer, Anand, Nath, Hrudaya, Wells, J. Michael, Conrad, Douglas, Yen, Andrew, Comellas, Alejandro P., Hoth, Karin F., Newell, John, Jr., Thompson, Brad, Kazerooni, Ella, Labaki, Wassim, Galban, Craig, Vummidi, Dharshan, Billings, Joanne, Begnaud, Abbie, Allen, Tadashi, Sciurba, Frank, Chandra, Divay, Weissfeld, Joel, Anzueto, Antonio, Adams, Sandra, Maselli-Caceres, Diego, Ruiz, Mario E., Singh, Harjinder, Tran, Thuonghien V., Kinney, Gregory L., Comellas, Alejandro, Baldomero, Arianne K., Hokanson, John, and Fortis, Spyridon

Published
2023
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2. Bronchodilator Responsiveness in Tobacco-Exposed People With or Without COPD

Author

Alexis, Neil E., Anderson, Wayne H., Arjomandi, Mehrdad, Barjaktarevic, Igor, Barr, R. Graham, Basta, Patricia, Bateman, Lori A., Bhatt, Surya P., Bleecker, Eugene R., Boucher, Richard C., Bowler, Russell P., Christenson, Stephanie A., Comellas, Alejandro P., Cooper, Christopher B., Couper, David J., Criner, Gerard J., Crystal, Ronald G., Curtis, Jeffrey L., Doerschuk, Claire M., Dransfield, Mark T., Drummond, Brad, Freeman, Christine M., Galban, Craig, Han, MeiLan K., Hansel, Nadia N., Hastie, Annette T., Hoffman, Eric A., Huang, Yvonne, Kaner, Robert J., Kanner, Richard E., Kleerup, Eric C., Krishnan, Jerry A., LaVange, Lisa M., Lazarus, Stephen C., Martinez, Fernando J., Meyers, Deborah A., Moore, Wendy C., Newell, John D., Jr., Paine, Robert, III, Paulin, Laura, Peters, Stephen P., Pirozzi, Cheryl, Putcha, Nirupama, Oelsner, Elizabeth C., O’Neal, Wanda K., Ortega, Victor E., Raman, Sanjeev, Rennard, Stephen I., Tashkin, Donald P., Wells, J. Michael, Wise, Robert A., Woodruff, Prescott G., Fortis, Spyridon, Quibrera, Pedro M., Dransfield, Mark B., Dolezal, Brett A., Kim, Victor, Barjaktarevic, Igor Z., and Couper, David

Published
2023
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3. Predicting severe chronic obstructive pulmonary disease exacerbations using quantitative CT: a retrospective model development and external validation study

Author

Chaudhary, Muhammad F A, Hoffman, Eric A, Guo, Junfeng, Comellas, Alejandro P, Newell, John D, Jr, Nagpal, Prashant, Fortis, Spyridon, Christensen, Gary E, Gerard, Sarah E, Pan, Yue, Wang, Di, Abtin, Fereidoun, Barjaktarevic, Igor Z, Barr, R Graham, Bhatt, Surya P, Bodduluri, Sandeep, Cooper, Christopher B, Gravens-Mueller, Lisa, Han, MeiLan K, Kazerooni, Ella A, Martinez, Fernando J, Menchaca, Martha G, Ortega, Victor E, III, Robert Paine, Schroeder, Joyce D, Woodruff, Prescott G, and Reinhardt, Joseph M

Published
2023
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4. Clinical Markers Associated With Risk of Suicide or Drug Overdose Among Individuals With Smoking Exposure: A Longitudinal Follow-up Study of the COPDGene Cohort

Author

Crapo, James D., Silverman, Edwin K., Make, Barry J., Regan, Elizabeth A., Beaty, Terri H., Castaldi, Peter J., Cho, Michael H., DeMeo, Dawn L., El Boueiz, Adel, Foreman, Marilyn G., Ghosh, Auyon, Hayden, Lystra P., Hersh, Craig P., Hetmanski, Jacqueline, Hobbs, Brian D., Hokanson, John E., Kim, Wonji, Laird, Nan, Lange, Christoph, Lutz, Sharon M., McDonald, Merry-Lynn, Prokopenko, Dmitry, Moll, Matthew, Morrow, Jarrett, Qiao, Dandi, Saferali, Aabida, Sakornsakolpat, Phuwanat, Wan, Emily S., Yun, Jeong, Centeno, Juan Pablo, Charbonnier, Jean-Paul, Coxson, Harvey O., Galban, Craig J., Han, MeiLan K., Hoffman, Eric A., Humphries, Stephen, Jacobson, Francine L., Judy, Philip F., Kazerooni, Ella A., Kluiber, Alex, Lynch, David A., Nardelli, Pietro, Newell, John D., Jr., Notary, Aleena, Oh, Andrea, Ross, James C., San Jose Estepar, Raul, Schroeder, Joyce, Sieren, Jered, Stoel, Berend C., Tschirren, Juerg, Van Beek, Edwin, van Ginneken, Bram, van Rikxoort, Eva, Sanchez-Ferrero, Gonzalo Vegas, Veitel, Lucas, Washko, George R., Wilson, Carla G., Jensen, Robert, Strand, Matthew, Crooks, Jim, Pratte, Katherine, Khatiwada, Aastha, Austin, Erin, Kinney, Gregory, Young, Kendra A., Bhatt, Surya P., Bon, Jessica, Diaz, Alejandro A., Make, Barry, Murray, Susan, Regan, Elizabeth, Soler, Xavier, Bowler, Russell P., Kechris, Katerina, Banaei-Kashani, Farnoush, Curtis, Jeffrey L., Pernicano, Perry G., Hanania, Nicola, Atik, Mustafa, Boriek, Aladin, Guntupalli, Kalpatha, Guy, Elizabeth, Parulekar, Amit, Hersh, Craig, Washko, George, Barr, R. Graham, Austin, John, D’Souza, Belinda, Thomashow, Byron, MacIntyre, Neil, Jr., McAdams, H. Page, Washington, Lacey, McEvoy, Charlene, Tashjian, Joseph, Wise, Robert, Brown, Robert, Hansel, Nadia N., Horton, Karen, Lambert, Allison, Putcha, Nirupama, Casaburi, Richard, Adami, Alessandra, Budoff, Matthew, Fischer, Hans, Porszasz, Janos, Rossiter, Harry, Stringer, William, Sharafkhaneh, Amir, Lan, Charlie, Wendt, Christine, Bell, Brian, Kunisaki, Ken M., Flenaugh, Eric L., Gebrekristos, Hirut, Ponce, Mario, Terpenning, Silanath, Westney, Gloria, Bowler, Russell, Rosiello, Richard, Pace, David, Criner, Gerard, Ciccolella, David, Cordova, Francis, Dass, Chandra, D’Alonzo, Gilbert, Desai, Parag, Jacobs, Michael, Kelsen, Steven, Kim, Victor, Mamary, A. James, Marchetti, Nathaniel, Satti, Aditi, Shenoy, Kartik, Steiner, Robert M., Swift, Alex, Swift, Irene, Vega-Sanchez, Maria Elena, Dransfield, Mark, Bailey, William, Iyer, Anand, Nath, Hrudaya, Wells, J. Michael, Conrad, Douglas, Yen, Andrew, Comellas, Alejandro P., Hoth, Karin F., Newell, John, Jr., Thompson, Brad, Kazerooni, Ella, Labaki, Wassim, Galban, Craig, Vummidi, Dharshan, Billings, Joanne, Begnaud, Abbie, Allen, Tadashi, Sciurba, Frank, Chandra, Divay, Weissfeld, Joel, Anzueto, Antonio, Adams, Sandra, Maselli-Caceres, Diego, Ruiz, Mario E., Singh, Harjinder, Adviento, Brigid A., Iyer, Anand S., Kinney, Gregory L., Hanania, Nicola A., Lowe, Katherine E., Holm, Kristen E., Yohannes, Abebaw M., Shinozaki, Gen, and Fiedorowicz, Jess G.

Published
2023
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5. Identification of Sputum Biomarkers Predictive of Pulmonary Exacerbations in COPD

Author

Alexis, Neil E., Anderson, Wayne H., Arjomandi, Mehrdad, Barjaktarevic, Igor, Barr, R. Graham, Bateman, Lori A., Bhatt, Surya P., Bleecker, Eugene R., Boucher, Richard C., Bowler, Russell P., Christenson, Stephanie A., Comellas, Alejandro P., Cooper, Christopher B., Couper, David J., Criner, Gerard J., Crystal, Ronald G., Curtis, Jeffrey L., Doerschuk, Claire M., Dransfield, Mark T., Drummond, Brad, Freeman, Christine M., Galban, Craig, Han, MeiLan K., Hansel, Nadia N., Hastie, Annette T., Hoffman, Eric A., Huang, Yvonne, Kaner, Robert J., Kanner, Richard E., Kleerup, Eric C., Krishnan, Jerry A., LaVange, Lisa M., Lazarus, Stephen C., Martinez, Fernando J., Meyers, Deborah A., Moore, Wendy C., Newell, John D., Jr., Paine, Robert, III, Paulin, Laura, Peters, Stephen P., Pirozzi, Cheryl, Putcha, Nirupama, Oelsner, Elizabeth C., O’Neal, Wanda K., Ortega, Victor E., Raman, Sanjeev, Rennard, Stephen I., Tashkin, Donald P., Wells, J. Michael, Wise, Robert A., Woodruff, Prescott G., Esther, Charles R., Jr., Kesimer, Mehmet, Ceppe, Agathe, Tesfaigzi, Yohannes, Kim, Victor, Paulin, Laura M., Huang, Yvonne J., and Labaki, Wassim W.

Published
2022
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6. Emphysema Progression and Lung Function Decline Among Angiotensin Converting Enzyme Inhibitors and Angiotensin-Receptor Blockade Users in the COPDGene Cohort

Author

Crapo, James D., Silverman, Edwin K., Make, Barry J., Regan, Elizabeth A., Beaty, Terri, Begum, Ferdouse, Castaldi, Peter J., Cho, Michael, DeMeo, Dawn L., Boueiz, Adel R., Foreman, Marilyn G., Halper-Stromberg, Eitan, Hayden, Lystra P., Hersh, Craig P., Hetmanski, Jacqueline, Hobbs, Brian D., Hokanson, John E., Laird, Nan, Lange, Christoph, Lutz, Sharon M., McDonald, Merry-Lynn, Parker, Margaret M., Prokopenko, Dmitry, Qiao, Dandi, Sakornsakolpat, Phuwanat, Wan, Emily S., Won, Sungho, Centeno, Juan Pablo, Charbonnier, Jean-Paul, Coxson, Harvey O., Galban, Craig J., Han, MeiLan K., Hoffman, Eric A., Humphries, Stephen, Jacobson, Francine L., Judy, Philip F., Kazerooni, Ella A., Kluiber, Alex, Lynch, David A., Nardelli, Pietro, Newell, John D., Jr., Notary, Aleena, Oh, Andrea, Ross, James C., San Jose Estepar, Raul, Schroeder, Joyce, Sieren, Jered, Stoel, Berend C., Tschirren, Juerg, Van Beek, Edwin, Ginneken, Bramvan, van Rikxoort, Eva, Sanchez-Ferrero, Gonzalo Vegas, Veitel, Lucas, Washko, George R., Wilson, Carla G., Jensen, Robert, Everett, Douglas, Crooks, Jim, Pratte, Katherine, Strand, Matt, Kinney, Gregory, Young, Kendra A., Bhatt, Surya P., Bon, Jessica, Diaz, Alejandro A., Make, Barry, Murray, Susan, Regan, Elizabeth, Soler, Xavier, Bowler, Russell P., Kechris, Katerina, Banaei-Kashani, Farnoush, Curtis, Jeffrey L., Pernicano, Perry G., Hanania, Nicola, Atik, Mustafa, Boriek, Aladin, Guntupalli, Kalpatha, Guy, Elizabeth, Parulekar, Amit, Hersh, Craig, Washko, George, Barr, R. Graham, Austin, John, D’Souza, Belinda, Thomashow, Byron, MacIntyre, Neil, Jr., McAdams, H. Page, Washington, Lacey, Flenaugh, Eric, Terpenning, Silanth, McEvoy, Charlene, Tashjian, Joseph, Wise, Robert, Brown, Robert, Hansel, Nadia N., Horton, Karen, Lambert, Allison, Putcha, Nirupama, Casaburi, Richard, Adami, Alessandra, Budoff, Matthew, Fischer, Hans, Porszasz, Janos, Rossiter, Harry, Stringer, William, Sharafkhaneh, Amir, Lan, Charlie, Wendt, Christine, Bell, Brian, Kunisaki, KenM., Bowler, Russell, Rosiello, Richard, Pace, David, Criner, Gerard, Ciccolella, David, Cordova, Francis, Dass, Chandra, D’Alonzo, Gilbert, Desai, Parag, Jacobs, Michael, Kelsen, Steven, Kim, Victor, Mamary, A. James, Marchetti, Nathaniel, Satti, Aditi, Shenoy, Kartik, Steiner, Robert M., Swift, Alex, Swift, Irene, Vega-Sanchez, Maria Elena, Dransfield, Mark, Bailey, William, Iyer, Anand, Nath, Hrudaya, Wells, J. Michael, Conrad, Douglas, Yen, Andrew, Comellas, Alejandro P., Hoth, Karin F., Newell, John, Jr., Thompson, Brad, Kazerooni, Ella, Labaki, Wassim, Galban, Craig, Vummidi, Dharshan, Billings, Joanne, Begnaud, Abbie, Allen, Tadashi, Sciurba, Frank, Chandra, Divay, Fuhrman, Carl, Weissfeld, Joel, Tejwani, Vickram, Fawzy, Ashraf, Cho, Michael H., Pratte, Katherine A., Humphries, Stephen M., Kinney, Gregory L., and D’Alessio, Franco R.

Published
2021
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7. The Association Between Lung Hyperinflation and Coronary Artery Disease in Smokers

Author

Crapo, James D., Silverman, Edwin K., Make, Barry J., Regan, Elizabeth A., Beaty, Terri, Begum, Ferdouse, Boueiz, Adel R., Castaldi, Peter J., Cho, Michael, DeMeo, Dawn L., Foreman, Marilyn G., Halper-Stromberg, Eitan, Hayden, Lystra P., Hersh, Craig P., Hetmanski, Jacqueline, Hobbs, Brian D., Hokanson, John E., Laird, Nan, Lange, Christoph, Lutz, Sharon M., McDonald, Merry-Lynn, Parker, Margaret M., Prokopenko, Dmitry, Qiao, Dandi, Sakornsakolpat, Phuwanat, Wan, Emily S., Won, Sungho, Al Qaisi, Mustafa, Coxson, Harvey O., Gray, Teresa, Han, MeiLan K., Hoffman, Eric A., Humphries, Stephen, Jacobson, Francine L., Judy, Philip F., Kazerooni, Ella A., Kluiber, Alex, Lynch, David A., Newell, John D., Jr., Ross, James C., San Jose Estepar, Raul, Schroeder, Joyce, Sieren, Jered, Stinson, Douglas, Stoel, Berend C., Tschirren, Juerg, Van Beek, Edwin, Ginneken, Bram van, van Rikxoort, Eva, Washko, George, Wilson, Carla G., Jensen, Robert, Crooks, Jim, Everett, Douglas, Moore, Camille, Strand, Hughes, John, Kinney, Gregory, Pratte, Katherine, Young, Kendra A., Bhatt, Surya, Bon, Jessica, Martinez, Carlos, Murray, Susan, Soler, Xavier, Banaei-Kashani, Farnoush, Bowler, Russell P., Kechris, Katerina, Curtis, Jeffrey L., Pernicano, Perry G., Hanania, Nicola, Atik, Mustafa, Boriek, Aladin, Guntupalli, Kalpatha, Guy, Elizabeth, Parulekar, Amit, Diaz, Alejandro A., Hersh, Craig, Barr, R. Graham, Austin, John, D’Souza, Belinda, Thomashow, Byron, MacIntyre, Neil, Jr., McAdams, H. Page, Washington, Lacey, McEvoy, Charlene, Tashjian, Joseph, Wise, Robert, Brown, Robert, Hansel, Nadia N., Horton, Karen, Lambert, Allison, Putcha, Nirupama, Casaburi, Richard, Adami, Alessandra, Budoff, Matthew, Fischer, Hans, Porszasz, Janos, Rossiter, Harry, Stringer, William, DeBakey, Michael E., Sharafkhaneh, Amir, Lan, Charlie, Wendt, Christine, Bell, Brian, Kunisaki, Ken M., Berkowitz, Eugene, Westney, Gloria, Bowler, Russell, Rosiello, Richard, Pace, David, Criner, Gerard, Ciccolella, David, Cordova, Francis, Dass, Chandra, D’Alonzo, Gilbert, Desai, Parag, Jacobs, Michael, Kelsen, Steven, Kim, Victor, Mamary, A. James, Marchetti, Nathaniel, Satti, Aditi, Shenoy, Kartik, Steiner, Robert M., Swift, Alex, Swift, Irene, Vega-Sanchez, Maria Elena, Dransfield, Mark, Bailey, William, Bhatt, Surya P., Iyer, Anand, Nath, Hrudaya, Wells, J. Michael, Ramsdell, Joe, Friedman, Paul, Yen, Andrew, Comellas, Alejandro P., Hoth, Karin F., Newell, John, Jr., Thompson, Brad, Kazerooni, Ella, Martinez, Carlos H., Billings, Joanne, Begnaud, Abbie, Allen, Tadashi, Sciurba, Frank, Chandra, Divay, Fuhrman, Carl, Weissfeld, Joel, Anzueto, Antonio, Adams, Sandra, Maselli-Caceres, Diego, Ruiz, Mario E., Gupta, Aman, Kinney, Gregory L., Fuhrman, Carl R., Leader, Joseph K., Hokanson, John, and Sciurba, Frank C.

Published
2021
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8. Pulmonary Arterial Pruning and Longitudinal Change in Percent Emphysema and Lung Function: The Genetic Epidemiology of COPD Study

Author

Crapo, James D., Silverman, Edwin K., Make, Barry J., Regan, Elizabeth A., Beaty, Terri H., Castaldi, Peter J., Cho, Michael H., DeMeo, Dawn L., El Boueiz, Adel, Foreman, Marilyn G., Ghosh, Auyon, Hayden, Lystra P., Hersh, Craig P., Hetmanski, Jacqueline, Hobbs, Brian D., Hokanson, John E., Kim, Wonji, Laird, Nan, Lange, Christoph, Lutz, Sharon M., McDonald, Merry-Lynn, Prokopenko, Dmitry, Moll, Matthew, Morrow, Jarrett, Qiao, Dandi, Saferali, Aabida, Sakornsakolpat, Phuwanat, Wan, Emily S., Yun, Jeong, Centeno, Juan Pablo, Charbonnier, Jean-Paul, Coxson, Harvey O., Galban, Craig J., Han, MeiLan K., Hoffman, Eric A., Humphries, Stephen, Jacobson, Francine L., Judy, Philip F., Kazerooni, Ella A., Kluiber, Alex, Lynch, David A., Nardelli, Pietro, Newell, John D., Jr., Notary, Aleena, Oh, Andrea, Ross, James C., San Jose Estepar, Raul, Schroeder, Joyce, Sieren, Jered, Stoel, Berend C., Tschirren, Juerg, Van Beek, Edwin, Ginneken, Bramvan, van Rikxoort, Eva, Sanchez- Ferrero, Gonzalo Vegas, Veitel, Lucas, Washko, George R., Wilson, Carla G., Jensen, Robert, Everett, Douglas, Crooks, Jim, Pratte, Katherine, Strand, Matt, Austin, Erin, Kinney, Gregory, Young, Kendra A., Bhatt, Surya P., Bon, Jessica, Diaz, Alejandro A., Make, Barry, Murray, Susan, Regan, Elizabeth, Soler, Xavier, Bowler, Russell P., Kechris, Katerina, Banaei-Kashani, Farnoush, Curtis, Jeffrey L., Pernicano, Perry G., Hanania, Nicola, Atik, Mustafa, Boriek, Aladin, Guntupalli, Kalpatha, Guy, Elizabeth, Parulekar, Amit, Hersh, Craig, Washko, George, Barr, R. Graham, Austin, John, D’Souza, Belinda, Thomashow, Byron, MacIntyre, Neil, Jr., McAdams, H. Page, Washington, Lacey, McEvoy, Charlene, Tashjian, Joseph, Wise, Robert, Brown, Robert, Hansel, Nadia N., Horton, Karen, Lambert, Allison, Putcha, Nirupama, Casaburi, Richard, Adami, Alessandra, Budoff, Matthew, Fischer, Hans, Porszasz, Janos, Rossiter, Harry, Stringer, William, Sharafkhaneh, Amir, Lan, Charlie, Wendt, Christine, Bell, Brian, Kunisaki, Ken M., Flenaugh, Eric L., Gebrekristos, Hirut, Ponce, Mario, Terpenning, Silanath, Westney, Gloria, Bowler, Russell, Rosiello, Richard, Pace, David, Criner, Gerard, Ciccolella, David, Cordova, Francis, Dass, Chandra, D’Alonzo, Gilbert, Desai, Parag, Jacobs, Michael, Kelsen, Steven, Kim, Victor, Mamary, A. James, Marchetti, Nathaniel, Satti, Aditi, Shenoy, Kartik, Steiner, Robert M., Swift, Alex, Swift, Irene, Vega-Sanchez, Maria Elena, Dransfield, Mark, Bailey, William, Iyer, Anand, Nath, Hrudaya, Wells, J. Michael, Conrad, Douglas, Yen, Andrew, Comellas, Alejandro P., Hoth, Karin F., Newell, John, Jr., Thompson, Brad, Kazerooni, Ella, Labaki, Wassim, Galban, Craig, Vummidi, Dharshan, Billings, Joanne, Begnaud, Abbie, Allen, Tadashi, Sciurba, Frank, Chandra, Divay, Weissfeld, Joel, Pistenmaa, Carrie L., Nardelli, P., Ash, S.Y., Come, C.E., Diaz, A.A., Rahaghi, F.N., Barr, R.G., Young, K.A., Kinney, G.L., Simmons, J.P., Wade, R.C., Wells, J.M., Hokanson, J.E., Washko, G.R., and San José Estépar, R.

Published
2021
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9. Machine Learning Characterization of COPD Subtypes: Insights From the COPDGene Study

Author

Crapo, James D., Silverman, Edwin K., Make, Barry J., Regan, Elizabeth A., Beaty, Terri, Begum, Ferdouse, Castaldi, Peter J., Cho, Michael, DeMeo, Dawn L., Boueiz, Adel R., Foreman, Marilyn G., Halper-Stromberg, Eitan, Hayden, Lystra P., Hersh, Craig P., Hetmanski, Jacqueline, Hobbs, Brian D., Hokanson, John E., Laird, Nan, Lange, Christoph, Lutz, Sharon M., McDonald, Merry-Lynn, Parker, Margaret M., Prokopenko, Dmitry, Qiao, Dandi, Sakornsakolpat, Phuwanat, Wan, Emily S., Won, Sungho, Centeno, Juan Pablo, Charbonnier, Jean-Paul, Coxson, Harvey O., Galban, Craig J., Han, MeiLan K., Hoffman, Eric A., Humphries, Stephen, Jacobson, Francine L., Judy, Philip F., Kazerooni, Ella A., Kluiber, Alex, Lynch, David A., Nardelli, Pietro, Newell, John D., Jr., Notary, Aleena, Oh, Andrea, Ross, James C., Estepar, Raul San Jose, Schroeder, Joyce, Sieren, Jered, Stoel, Berend C., Tschirren, Juerg, Van Beek, Edwin, van Ginneken, Bram, van Rikxoort, Eva, Sanchez-Ferrero, Gonzalo Vegas, Veitel, Lucas, Washko, George R., Wilson, Carla G., Jensen, Robert, Everett, Douglas, Crooks, Jim, Pratte, Katherine, Strand, Matt, Kinney, Gregory, Young, Kendra A., Bhatt, Surya P., Bon, Jessica, Diaz, Alejandro A., Make, Barry, Murray, Susan, Regan, Elizabeth, Soler, Xavier, Bowler, Russell P., Kechris, Katerina, Banaei-Kashani, Farnoush, Boueiz, Adel, Yun, Jeong, Washko, George, Cho, Michael H., Kinney, Gregory L., Criner, Gerald J., Dy, Jennifer G., Rennard, Stephen I., Casaburi, Richard, and Crapo, James

Published
2020
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10. Associations Among 25-Hydroxyvitamin D Levels, Lung Function, and Exacerbation Outcomes in COPD: An Analysis of the SPIROMICS Cohort

Author

Alexis, Neil E., Anderson, Wayne H., Arjomandi, Mehrdad, Barjaktarevic, Igor, Barr, R. Graham, Bateman, Lori A., Bhatt, Surya P., Bleecker, Eugene R., Boucher, Richard C., Bowler, Russell P., Christenson, Stephanie A., Comellas, Alejandro P., Cooper, Christopher B., Couper, David J., Criner, Gerard J., Crystal, Ronald G., Curtis, Jeffrey L., Doerschuk, Claire M., Dransfield, Mark T., Drummond, Brad, Freeman, Christine M., Galban, Craig, Han, MeiLan K., Hansel, Nadia N., Hastie, Annette T., Hoffman, Eric A., Huang, Yvonne, Kaner, Robert J., Kanner, Richard E., Kleerup, Eric C., Krishnan, Jerry A., LaVange, Lisa M., Lazarus, Stephen C., Martinez, Fernando J., Meyers, Deborah A., Moore, Wendy C., Newell, John D., Jr., Paine, Robert, III, Paulin, Laura, Peters, Stephen P., Pirozzi, Cheryl, Putcha, Nirupama, Oelsner, Elizabeth C., O’Neal, Wanda K., Ortega, Victor E., Raman, Sanjeev, Rennard, Stephen I., Tashkin, Donald P., Wells, J. Michael, Wise, Robert A., Woodruff, Prescott G., Postow, Lisa, Viviano, Lisa, Burkes, Robert M., Ceppe, Agathe S., Couper, David, Cooper, Christopher, Labaki, Wassim W., Pirozzi, Cheryl S., Brown, Todd T., and Drummond, M. Bradley

Published
2020
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11. The St. George’s Respiratory Questionnaire Definition of Chronic Bronchitis May Be a Better Predictor of COPD Exacerbations Compared With the Classic Definition

Author

Crapo, James D., Silverman, Edwin K., Make, Barry J., Regan, Elizabeth A., Beaty, Terri, Begum, Ferdouse, Busch, Robert, Castaldi, Peter J., Cho, Michael, DeMeo, Dawn L., Boueiz, Adel R., Foreman, Marilyn G., Halper-Stromberg, Eitan, Hansel, Nadia N., Hardin, Megan E., Hayden, Lystra P., Hersh, Craig P., Hetmanski, Jacqueline, Hobbs, Brian D., Hokanson, John E., Laird, Nan, Lange, Christoph, Lutz, Sharon M., McDonald, Merry-Lynn, Parker, Margaret M., Qiao, Dandi, Santorico, Stephanie, Wan, Emily S., Won, Sungho, Charbonnier, Jean-Paul, Coxson, Harvey O., Han, MeiLan K., Hoffman, Eric A., Humphries, Stephen, Jacobson, Francine L., Judy, Philip F., Kazerooni, Ella A., Kluiber, Alex, Lynch, David A., Newell, John D., Jr., Ross, James C., San Jose Estepar, Raul, Sieren, Jered, Stoel, Berend C., Tschirren, Juerg, Van Beek, Edwin, van Ginneken, Bram, van Rikxoort, Eva, Washko, George, Wilson, Carla G., Jensen, Robert, Everett, Douglas, Crooks, Jim, Moore, Camille, Strand, Matt, Hughes, John, Kinney, Gregory, Pratte, Katherine, Young, Kendra A., Curtis, Jeffrey L., Martinez, Carlos H., Pernicano, Perry G., Hanania, Nicola, Alapat, Philip, Atik, Mustafa, Bandi, Venkata, Boriek, Aladin, Guntupalli, Kalpatha, Guy, Elizabeth, Nachiappan, Arun, Parulekar, Amit, Hersh, Craig, Barr, R. Graham, Austin, John, D’Souza, Belinda, Pearson, Gregory D.N., Rozenshtein, Anna, Thomashow, Byron, MacIntyre, Neil, Jr., McAdams, H. Page, Washington, Lacey, McEvoy, Charlene, Tashjian, Joseph, Wise, Robert, Brown, Robert, Horton, Karen, Lambert, Allison, Putcha, Nirupama, Casaburi, Richard, Adami, Alessandra, Budoff, Matthew, Fischer, Hans, Porszasz, Janos, Rossiter, Harry, Stringer, William, Sharafkhaneh, Amir, Lan, Charlie, Wendt, Christine, Bell, Brian, Berkowitz, Eugene, Flenaugh, Eric L., Westney, Gloria, Bowler, Russell, Rosiello, Richard, Pace, David, Criner, Gerard, Ciccolella, David, Cordova, Francis, Dass, Chandra, D’Alonzo, Gilbert, Desai, Parag, Jacobs, Michael, Kelsen, Steven, Kim, Victor, Mamary, A. James, Marchetti, Nathaniel, Satti, Aditi, Shenoy, Kartik, Steiner, Robert M., Vega-Sanchez, Maria Elena, Dransfield, Mark, Bailey, William, Bhatt, Surya, Iyer, Anand, Nath, Hrudaya, Oates, Gabriela, Sonavane, Sushil, Wells, J. Michael, Ramsdell, Joe, Friedman, Paul, Soler, Xavier, Yen, Andrew, Comellas, Alejandro P., Newell, John, Jr., Thompson, Brad, Kazerooni, Ella, Billings, Joanne, Begnaud, Abbie, Allen, Tadashi, Sciurba, Frank, Bon, Jessica, Chandra, Divay, Fuhrman, Carl, Weissfeld, Joel, Anzueto, Antonio, Adams, Sandra, Maselli-Caceres, Diego, Ruiz, Mario E., Zhao, Huaqing, Regan, Elizabeth, Jones, Paul W., and Criner, Gerard J.

Published
2019
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12. Aspirin Use and Respiratory Morbidity in COPD: A Propensity Score-Matched Analysis in Subpopulations and Intermediate Outcome Measures in COPD Study

Author

Alexis, Neil E., Anderson, Wayne H., Barjaktarevic, Igor, Barr, R. Graham, Bleecker, Eugene R., Boucher, Richard C., Bowler, Russell P., Carretta, Elizabeth E., Christenson, Stephanie A., Comellas, Alejandro P., Cooper, Christopher B., Couper, David J., Criner, Gerard J., Crystal, Ronald G., Curtis, Jeffrey L., Doerschuk, Claire M., Dransfield, Mark T., Freeman, Christine M., Han, MeiLan K., Hansel, Nadia N., Hastie, Annette T., Hoffman, Eric A., Kaner, Robert J., Kanner, Richard E., Kleerup, Eric C., Krishnan, Jerry A., LaVange, Lisa M., Lazarus, Stephen C., Martinez, Fernando J., Meyers, Deborah A., Moore, Wendy C., Newell, John D., Jr., Paulin, Laura, Peters, Stephen, Pirozzi, Cheryl, Oelsner, Elizabeth C., O’Neal, Wanda K., Ortega, Victor E., Paine, Robert, III, Putcha, Nirupama, Raman, Sanjeev, Rennard, Stephen I., Tashkin, Donald P., Wells, J. Michael, Wise, Robert A., Woodruff, Prescott G., Fawzy, Ashraf, Aaron, Carrie P., Labaki, Wassim W., Paulin, Laura M., Peters, Stephen P., and Wise, Robert

Published
2019
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14. Blood eosinophil count thresholds and exacerbations in patients with chronic obstructive pulmonary disease

Author

Crapo, James D., Silverman, Edwin K., Make, Barry J., Regan, Elizabeth A., Beaty, Terri, Begum, Ferdouse, Busch, Robert, Castaldi, Peter J., Cho, Michael, DeMeo, Dawn L., Boueiz, Adel R., Foreman, Marilyn G., Halper-Stromberg, Eitan, Hansel, Nadia N., Hardin, Megan E., Hayden, Lystra P., Hersh, Craig P., Hetmanski, Jacqueline, Hobbs, Brian D., Hokanson, John E., Laird, Nan, Lange, Christoph, Lutz, Sharon M., McDonald, Merry-Lynn, Parker, Margaret M., Qiao, Dandi, Santorico, Stephanie, Wan, Emily S., Won, Sungho, Al Qaisi, Mustafa, Coxson, Harvey O., Gray, Teresa, Han, MeiLan K., Hoffman, Eric A., Humphries, Stephen, Jacobson, Francine L., Judy, Philip F., Kazerooni, Ella A., Kluiber, Alex, Lynch, David A., Newell, John D., Jr., Ross, James C., San Jose Estepar, Raul, Schroeder, Joyce, Sieren, Jered, Stinson, Douglas, Stoel, Berend C., Tschirren, Juerg, Van Beek, Edwin, van Ginneken, Bram, van Rikxoort, Eva, Washko, George, Wilson, Carla G., Jensen, Robert, Everett, Douglas, Crooks, Jim, Moore, Camille, Strand, Matt, Hughes, John, Kinney, Gregory, Pratte, Katherine, Young, Kendra A., Curtis, Jeffrey L., Martinez, Carlos H., Pernicano, Perry G., Hanania, Nicola, Alapat, Philip, Atik, Mustafa, Bandi, Venkata, Boriek, Aladin, Guntupalli, Kalpatha, Guy, Elizabeth, Nachiappan, Arun, Parulekar, Amit, Hersh, Craig, Barr, R. Graham, Austin, John, D'Souza, Belinda, Pearson, Gregory D.N., Rozenshtein, Anna, Thomashow, Byron, MacIntyre, Neil, Jr., McAdams, H. Page, Washington, Lacey, McEvoy, Charlene, Tashjian, Joseph, Wise, Robert, Brown, Robert, Horton, Karen, Lambert, Allison, Putcha, Nirupama, Casaburi, Richard, Adami, Alessandra, Budoff, Matthew, Fischer, Hans, Porszasz, Janos, Rossiter, Harry, Stringer, William, Sharafkhaneh, Amir, Lan, Charlie, Wendt, Christine, Bell, Brian, Berkowitz, Eugene, Westney, Gloria, Bowler, Russell, Rosiello, Richard, Pace, David, Criner, Gerard, Ciccolella, David, Cordova, Francis, Dass, Chandra, D'Alonzo, Gilbert, Desai, Parag, Jacobs, Michael, Kelsen, Steven, Kim, Victor, Mamary, A. James, Marchetti, Nathaniel, Satti, Aditi, Shenoy, Kartik, Steiner, Robert M., Swift, Alex, Swift, Irene, Vega-Sanchez, Maria Elena, Dransfield, Mark, Bailey, William, Bhatt, Surya, Iyer, Anand, Nath, Hrudaya, Wells, J. Michael, Ramsdell, Joe, Friedman, Paul, Soler, Xavier, Yen, Andrew, Comellas, Alejandro P., Newell, John, Jr., Thompson, Brad, Kazerooni, Ella, Billings, Joanne, Begnaud, Abbie, Allen, Tadashi, Sciurba, Frank, Bon, Jessica, Chandra, Divay, Fuhrman, Carl, Weissfeld, Joel, Anzueto, Antonio, Adams, Sandra, Maselli-Caceres, Diego, Ruiz, Mario E., Ivanov, Y., Kostov, K., Bourbeau, J., Fitzgerald, M., Hernandez, P., Killian, K., Levy, R., Maltais, F., O'Donnell, D., Krepelka, J., Vestbo, J., Wouters, E., Quinn, D., Bakke, P., Kosnik, M., Agusti, A., Sauleda, J., de Mallorca, P., Feschenko, Y., Gavrisyuk, V., Kiev, L. Yashina, Monogarova, N., Calverley, P., Lomas, D., MacNee, W., Singh, D., Wedzicha, J., Anzueto, A., Braman, S., Casaburi, R., Celli, B., Giessel, G., Gotfried, M., Greenwald, G., Hanania, N., Mahler, D., Make, B., Rennard, S., Rochester, C., Scanlon, P., Schuller, D., Sciurba, F., Sharafkhaneh, A., Siler, T., Silverman, E., Wanner, A., Wise, R., ZuWallack, R., Coxson, H., Crim, C., Edwards, L., Singer, R. Tal, Yates, J., Miller, B., Tal-Singer, R., Yun, Jeong H., Lamb, Andrew, Chase, Robert, Singh, Dave, Saferali, Aabida, Vestbo, Jørgen, and Tal-Singer, Ruth

Published
2018
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15. Asthma Is a Risk Factor for Respiratory Exacerbations Without Increased Rate of Lung Function Decline: Five-Year Follow-up in Adult Smokers From the COPDGene Study

Author

Crapo, James D., Make, Barry J., Regan, Elizabeth A., Silverman, Edwin K., Beaty, Terri, Begum, Ferdouse, Boueiz, Adel R., Busch, Robert, Castaldi, Peter J., Cho, Michael, DeMeo, Dawn L., Foreman, Marilyn G., Halper-Stromberg, Eitan, Hansel, Nadia N., Hardin, Megan E., Hayden, Lystra P., Hersh, Craig P., Hetmanski, Jacqueline, Hobbs, Brian D., Hokanson, John E., Laird, Nan, Lange, Christoph, Lutz, Sharon M., McDonald, Merry-Lynn, Parker, Margaret M., Qiao, Dandi, Santorico, Stephanie, Wan, Emily S., Al Qaisi, Mustafa, Coxson, Harvey O., Gray, Teresa, Han, MeiLan K., Hoffman, Eric A., Humphries, Stephen, Jacobson, Francine L., Judy, Philip F., Kazerooni, Ella A., Kluiber, Alex, Lynch, David A., Newell, John D., Jr., Ross, James C., Estepar, Raul San Jose, Schroeder, Joyce, Sieren, Jered, Stinson, Douglas, Stoel, Berend C., Tschirren, Juerg, Van Beek, Edwin, van Ginneken, Bram, van Rikxoort, Eva, Washko, George, Wilson, Carla G., Jensen, Robert, Crooks, Jim, Everett, Douglas, Moore, Camille, Strand, Matt, Hughes, John, Kinney, Gregory, Pratte, Katherine, Young, Kendra A., Qiu, Weiliang, Strand, Matthew J., and van Beek, Edwin J.

Published
2018
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16. Lobar Emphysema Distribution Is Associated With 5-Year Radiological Disease Progression

Author

Crapo, James, Silverman, Edwin, Make, Barry, Regan, Elizabeth, Beaty, Terri, Laird, Nan, Lange, Christoph, Cho, Michael H., Santorico, Stephanie, Hokanson, John, DeMeo, Dawn, Hansel, Nadia, Hersh, Craig, Castaldi, Peter, McDonald, Merry-Lynn, Wan, Emily, Hardin, Megan, Hetmanski, Jacqueline, Parker, Margaret, Foreman, Marilyn, Hobbs, Brian, Busch, Robert, Boueiz, Adel, Qiao, Dandi, Halper-Stromberg, Eitan, Begum, Ferdouse, Won, Sungho, Lutz, Sharon, Lynch, David A., Coxson, Harvey O., Han, MeiLan K., Hoffman, Eric A., Humphries, Stephen, Jacobson, Francine L., Judy, Philip F., Kazerooni, Ella A., Newell, John D., Jr., Ross, James C., Estépar, Raul José, Stoel, Berend C., Tschirren, Juerg, Rikxoort, Eva van, van Ginneken, Bram, Washko, George R., Wilson, Carla G., Qaisi, Mustafa Al, Gray, Teresa, Kluiber, Alex, Mann, Tanya, Sieren, Jered, Stinson, Douglas, Schroeder, Joyce, Beek, Edwin Van, Jensen, Robert, Everett, Douglas, Faino, Anna, Strand, Matt, Wilson, Carla, Hokanson, John E., Kinney, Gregory, Young, Kendra, Pratte, Katherine, Duca, Lindsey, Curtis, Jeffrey L., Martinez, Carlos H., Pernicano, Perry G., Hanania, Nicola, Alapat, Philip, Bandi, Venkata, Atik, Mustafa, Boriek, Aladin, Guntupalli, Kalpatha, Guy, Elizabeth, Parulekar, Amit, Nachiappan, Arun, Jacobson, Francine, Graham Barr, R., Thomashow, Byron, Austin, John, D’Souza, Belinda, Pearson, Gregory D.N., Rozenshtein, Anna, MacIntyre, Neil, Jr., Washington, Lacey, Page McAdams, H., McEvoy, Charlene, Tashjian, Joseph, Wise, Robert, Brown, Robert, Horton, Karen, Putcha, Nirupama, Casaburi, Richard, Adami, Alessandra, Porszasz, Janos, Fischer, Hans, Budoff, Matthew, Rossiter, Harry, Sharafkhaneh, Amir, Lan, Charlie, Wendt, Christine, Bell, Brian, Westney, Gloria, Berkowitz, Eugene, Bowler, Russell, Lynch, David, Rosiello, Richard, Pace, David, Criner, Gerard, Ciccolella, David, Cordova, Francis, Dass, Chandra, D’Alonzo, Gilbert, Desai, Parag, Jacobs, Michael, Kelsen, Steven, Kim, Victor, James Mamary, A., Marchetti, Nathaniel, Satti, Aditi, Shenoy, Kartik, Steiner, Robert M., Swift, Alex, Swift, Irene, Vega-Sanchez, Maria Elena, Dransfield, Mark, Bailey, William, Michael Wells, J., Bhatt, Surya, Nath, Hrudaya, Ramsdell, Joe, Friedman, Paul, Soler, Xavier, Yen, Andrew, Cornellas, Alejandro, Newell, John, Jr., Thompson, Brad, Han, MeiLan, Kazerooni, Ella, Martinez, Carlos, Billings, Joanne, Allen, Tadashi, Sciurba, Frank, Chandra, Divay, Weissfeld, Joel, Fuhrman, Carl, Bon, Jessica, Anzueto, Antonio, Adams, Sandra, Maselli-Caceres, Diego, Ruiz, Mario E., Chang, Yale, San José Estépar, Raul, Bowler, Russell P., Crapo, James D., DeMeo, Dawn L., Dy, Jennifer G., Silverman, Edwin K., and Castaldi, Peter J.

Published
2018
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17. Association of sputum and blood eosinophil concentrations with clinical measures of COPD severity: an analysis of the SPIROMICS cohort

Author

Alexis, Neil E, Anderson, Wayne H, Barr, R Graham, Bleecker, Eugene R, Boucher, Richard C, Bowler, Russell P, Carretta, Elizabeth E, Christenson, Stephanie A, Comellas, Alejandro P, Cooper, Christopher B, Couper, David J, Criner, Gerard J, Crystal, Ronald G, Curtis, Jeffrey L, Doerschuk, Claire M, Dransfield, Mark T, Freeman, Christine M, Han, MeiLan K, Hansel, Nadia N, Hastie, Annette T, Hoffman, Eric A, Kaner, Robert J, Kanner, Richard E, Kleerup, Eric C, Krishnan, Jerry A, LaVange, Lisa M, Lazarus, Stephen C, Martinez, Fernando J, Meyers, Deborah A, Newell, John D, Jr, Oelsner, Elizabeth C, O'Neal, Wanda K, Paine, Robert, III, Putcha, Nirupama, Rennard, Stephen I., Tashkin, Donald P, Scholand, Mary Beth, Wells, J Michael, Wise, Robert A, Woodruff, Prescott G, Christenson, Stephanie, Ortega, Victor E, Li, Xingnan, Kleerup, Eric, Paine, Richard, III, and Peters, Stephen P

Published
2017
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18. Frequency of exacerbations in patients with chronic obstructive pulmonary disease: an analysis of the SPIROMICS cohort

Author

Alexis, Neil E, Anderson, Wayne H, Barr, R Graham, Bleecker, Eugene R, Boucher, Richard C, Bowler, Russell P, Carretta, Elizabeth E, Christenson, Stephanie A, Comellas, Alejandro P, Cooper, Christopher B, Couper, David J, Criner, Gerard J, Crystal, Ronald G, Curtis, Jeffrey L, Doerschuk, Claire M, Dransfield, Mark T, Freeman, Christine M, Han, MeiLan K, Hansel, Nadia N, Hastie, Annette T, Hoffman, Eric A, Kaner, Robert J, Kanner, Richard E, Kleerup, Eric C, Krishnan, Jerry A, LaVange, Lisa M, Lazarus, Stephen C, Martinez, Fernando J, Meyers, Deborah A, Newell, John D, Jr, Oelsner, Elizabeth C, O'Neal, Wanda K, Paine, Robert, Putcha, Nirupama, Rennard, Stephen I., Tashkin, Donald P, Scholand, Mary Beth, Wells, J Michael, Wise, Robert A, Woodruff, Prescott G, Quibrera, Pedro M, Comellas, Alejandro, Criner, Gerard, Martinez, Carlos H, Pirozzi, Cheryl B, Rennard, Stephen, Wedzicha, Jadwiga A, Woodruff, Prescott, and Paine, Robert, III

Published
2017
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19. Airway fractal dimension predicts respiratory morbidity and mortality in COPD

Author

Bodduluri, Sandeep, Puliyakote, Abhilash S. Kizhakke, Gerard, Sarah E., Reinhardt, Joseph M., Hoffman, Eric A., Newell, John D., Jr., Nath, Hrudaya P., Han, MeiLan K., Washko, George R., Estepar, Raul San Jose, Dransfield, Mark T., and Bhatt, Surya P.

Subjects
Usage, Patient outcomes, Diagnosis, CAT scans -- Usage, Chronic obstructive lung disease -- Patient outcomes -- Diagnosis, Fractals -- Usage, Mortality, Spirometry, Diagnostic imaging, Lung diseases, Emphysema, Diagnostic equipment (Medical), Lung volume measurement, Tomography, Morbidity
Abstract

IntroductionAirflow obstruction in chronic obstructive pulmonary disease (COPD) is a result of both emphysema and airway disease (1, 2). Advances in computed tomographic (CT) imaging have enabled localization and quantification [...], BACKGROUND. Chronic obstructive pulmonary disease (COPD) is characterized by airway remodeling. Characterization of airway changes on computed tomography has been challenging due to the complexity of the recurring branching patterns, and this can be better measured using fractal dimensions.METHODS. We analyzed segmented airway trees of 8,135 participants enrolled in the COPDGene cohort. The fractal complexity of the segmented airway tree was measured by the Airway Fractal Dimension (AFD) using the Minkowski-Bougliand boxcounting dimension. We examined associations between AFD and lung function and respiratory morbidity using multivariable regression analyses. We further estimated the extent of peribronchial emphysema (%) within 5 mm of the airway tree, as this is likely to affect AFD. We classified participants into 4 groups based on median AFD, percentage of peribronchial emphysema, and estimated survival.RESULTS. AFD was significantly associated with forced expiratory volume in one second ([FEV.sub.1]; P < 0.001) and [FEV.sub.1]/forced vital capacity ([FEV.sub.1]/FVC; P < 0.001) after adjusting for age, race, sex, smoking status, pack-years of smoking, BMI, CT emphysema, air trapping, airway thickness, and CT scanner type. On multivariable analysis, AFD was also associated with respiratory quality of life and 6-minute walk distance, as well as exacerbations, lung function decline, and mortality on longitudinal follow-up. We identified a subset of participants with AFD below the median and peribronchial emphysema above the median who had worse survival compared with participants with high AFD and low peribronchial emphysema (adjusted hazards ratio [HR]: 2.72; 95% CI: 2.20-3.35; P < 0.001), a substantial number of whom were not identified by traditional spirometry severity grades.CONCLUSION. Airway fractal dimension as a measure of airway branching complexity and remodeling in smokers is associated with respiratory morbidity and lung function change, offers prognostic information additional to traditional CT measures of airway wall thickness, and can be used to estimate mortality risk.TRIAL REGISTRATION. ClinicalTrials.gov identifier: NCT00608764.FUNDING. This study was supported by NIH K23 HL133438 (SPB) and the COPDGene study (NIH Grant Numbers R01 HL089897 and R01 HL089856). The COPDGene project is also supported by the COPD Foundation through contributions made to an Industry Advisory Board comprised of AstraZeneca, Boehringer Ingelheim, Novartis, Pfizer, Siemens, Sunovion and GlaxoSmithKline.

Published
2018
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21. Bronchiectasis

Author

Newell, John D., Jr., Schoepf, U. Joseph, editor, Boiselle, Phillip M., editor, and Lynch, David A., editor

Published
2008
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24. Development and translational imaging of a TP53 porcine tumorigenesis model

Author

Sieren, Jessica C., Meyerholz, David K., Wang, Xiao-Jun, Davis, Bryan T., Newell, John D., Jr., Hammond, Emily, Rohret, Judy A., Rohret, Frank A., Struzynski, Jason T., Goeken, J. Adam, Naumann, Paul W., Leidinger, Mariah R., Taghiyev, Agshin, Van Rheeden, Richard, Hagen, Jussara, Darbro, Benjamin W., Quelle, Dawn E., and Rogers, Christopher S.

Subjects
Diagnosis, Development and progression, Research, Genetic aspects, Risk factors, Patient outcomes, Genetically modified organisms -- Research, Tumor proteins -- Research, Gene mutation -- Health aspects -- Research, Lymphomas -- Research -- Risk factors -- Patient outcomes -- Diagnosis -- Development and progression, Carcinogenesis -- Research -- Genetic aspects, Swine -- Research -- Genetic aspects, Gene mutations -- Health aspects -- Research
Abstract

Introduction The need for immediate and rapid progress in cancer detection, diagnosis, and treatment is apparent, with 1 of every 4 deaths in the United States resulting from cancer (1). [...], Cancer is the second deadliest disease in the United States, necessitating improvements in tumor diagnosis and treatment. Current model systems of cancer are informative, but translating promising imaging approaches and therapies to clinical practice has been challenging. In particular, the lack of a large-animal model that accurately mimics human cancer has been a major barrier to the development of effective diagnostic tools along with surgical and therapeutic interventions. Here, we developed a genetically modified porcine model of cancer in which animals express a mutation in TP53 (which encodes p53) that is orthologous to one commonly found in humans (R175H in people, R167H in pigs). [TP53.sup.R167H/R167H] mutant pigs primarily developed lymphomas and osteogenic tumors, recapitulating the tumor types observed in mice and humans expressing orthologous TP53 mutant alleles. CT and MRI imaging data effectively detected developing tumors, which were validated by histopathological evaluation after necropsy. Molecular genetic analyses confirmed that these animals expressed the R167H mutant p53, and evaluation of tumors revealed characteristic chromosomal instability. Together, these results demonstrated that [TP53.sup.R167H/R167H] pigs represent a large-animal tumor model that replicates the human condition. Our data further suggest that this model will be uniquely suited for developing clinically relevant, noninvasive imaging approaches to facilitate earlier detection, diagnosis, and treatment of human cancers.

Published
2014
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29. Imaging Advances in Chronic Obstructive Pulmonary Disease. Insights from the Genetic Epidemiology of Chronic Obstructive Pulmonary Disease (COPDGene) Study.

Author

Bhatt, Surya P, Washko, George R, Hoffman, Eric A, Newell, John D Jr, Bodduluri, Sandeep, Diaz, Alejandro A, Galban, Craig J, Silverman, Edwin K, San José Estépar, Raúl, and Lynch, David A

Subjects
DISEASE progression, RESEARCH, LUNGS, RESEARCH methodology, EVALUATION research, MEDICAL cooperation, SEVERITY of illness index, COMPARATIVE studies, OBSTRUCTIVE lung diseases, RESEARCH funding, COMPUTED tomography, LONGITUDINAL method
Abstract

The Genetic Epidemiology of Chronic Obstructive Pulmonary Disease (COPDGene) study, which began in 2007, is an ongoing multicenter observational cohort study of more than 10,000 current and former smokers. The study is aimed at understanding the etiology, progression, and heterogeneity of chronic obstructive pulmonary disease (COPD). In addition to genetic analysis, the participants have been extensively characterized by clinical questionnaires, spirometry, volumetric inspiratory and expiratory computed tomography, and longitudinal follow-up, including follow-up computed tomography at 5 years after enrollment. The purpose of this state-of-the-art review is to summarize the major advances in our understanding of COPD resulting from the imaging findings in the COPDGene study. Imaging features that are associated with adverse clinical outcomes include early interstitial lung abnormalities, visual presence and pattern of emphysema, the ratio of pulmonary artery to ascending aortic diameter, quantitative evaluation of emphysema, airway wall thickness, and expiratory gas trapping. COPD is characterized by the early involvement of the small conducting airways, and the addition of expiratory scans has enabled measurement of small airway disease. Computational advances have enabled indirect measurement of nonemphysematous gas trapping. These metrics have provided insights into the pathogenesis and prognosis of COPD and have aided early identification of disease. Important quantifiable extrapulmonary findings include coronary artery calcification, cardiac morphology, intrathoracic and extrathoracic fat, and osteoporosis. Current active research includes identification of novel quantitative measures for emphysema and airway disease, evaluation of dose reduction techniques, and use of deep learning for phenotyping COPD. [ABSTRACT FROM AUTHOR]

Published
2019
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30. Recent Advances in Computed Tomography Imaging in Chronic Obstructive Pulmonary Disease.

Author

Bodduluri, Sandeep, Reinhardt, Joseph M., Hoffman, Eric A., Newell Jr., John D., Bhatt, Surya P., and Newell, John D Jr.

Abstract

Lung imaging is increasingly being used to diagnose, quantify, and phenotype chronic obstructive pulmonary disease (COPD). Although spirometry is the gold standard for the diagnosis of COPD and for severity staging, the role of computed tomography (CT) imaging has expanded in both clinical practice and research. COPD is a heterogeneous disease with considerable variability in clinical features, radiographic disease, progression, and outcomes. Recent studies have examined the utility of CT imaging in enhancing diagnostic certainty, improving phenotyping, predicting disease progression and prognostication, selecting patients for intervention, and also in furthering our understanding of the complex pathophysiology of this disease. Multiple CT metrics show promise for use as imaging biomarkers in COPD. [ABSTRACT FROM AUTHOR]

Published
2018
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32. Computed Tomography Measure of Lung at Risk and Lung Function Decline in Chronic Obstructive Pulmonary Disease.

Author

Bhatt, Surya P., Bodduluri, Sandeep, Hoffman, Eric A., Newell Jr., John D., Sieren, Jessica C., Dransfield, Mark T., Reinhardt, Joseph M., Newell, John D Jr, and COPDGene Investigators

Subjects
COMPARATIVE studies, COMPUTED tomography, LUNGS, OBSTRUCTIVE lung diseases, RESEARCH methodology, MEDICAL cooperation, RESEARCH, RESEARCH funding, PULMONARY function tests, EVALUATION research, VITAL capacity (Respiration), DISEASE progression
Abstract

Rationale: The rate of decline of lung function is greater than age-related change in a substantial proportion of patients with chronic obstructive pulmonary disease, even after smoking cessation. Regions of the lung adjacent to emphysematous areas are subject to abnormal stretch during respiration, and this biomechanical stress likely influences emphysema initiation and progression.Objectives: To assess whether quantifying this penumbra of lung at risk would predict FEV1 decline.Methods: We analyzed paired inspiratory-expiratory computed tomography images at baseline of 680 subjects participating in a large multicenter study (COPDGene) over approximately 5 years. By matching inspiratory and expiratory images voxel by voxel using image registration, we calculated the Jacobian determinant, a measure of local lung expansion and contraction with respiration. We measured the distance between each normal voxel to the nearest emphysematous voxel, and quantified the percentage of normal voxels within each millimeter distance from emphysematous voxels as mechanically affected lung (MAL). Multivariable regression analyses were performed to assess the relationship between the Jacobian determinant, MAL, and FEV1 decline.Measurements and Main Results: The mean (SD) rate of decline in FEV1 was 39.0 (58.6) ml/yr. There was a progressive decrease in the mean Jacobian determinant of both emphysematous and normal voxels with increasing disease stage (P < 0.001). On multivariable analyses, the mean Jacobian determinant of normal voxels within 2 mm of emphysematous voxels (MAL2) was significantly associated with FEV1 decline. In mild-moderate disease, for participants at or above the median MAL2 (threshold, 36.9%), the mean decline in FEV1 was 56.4 (68.0) ml/yr versus 43.2 (59.9) ml/yr for those below the median (P = 0.044).Conclusions: Areas of normal-appearing lung are mechanically influenced by emphysematous areas and this lung at risk is associated with lung function decline. Clinical trial registered with www.clinicaltrials.gov (NCT00608764). [ABSTRACT FROM AUTHOR]

Published
2017
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33. Biomechanical CT metrics are associated with patient outcomes in COPD.

Author

Bodduluri, Sandeep, Bhatt, Surya P., Hoffman, Eric A., Newell Jr, John D., Martinez, Carlos H., Dransfield, Mark T., Han, Meilan K., Reinhardt, Joseph M., Newell, John D Jr, and COPDGene Investigators

Subjects
OBSTRUCTIVE lung diseases, BIOMECHANICS, PHENOTYPES, DYSPNEA, SPIROMETRY, COMPUTED tomography, COMPUTER software, CAUSES of death, LONGITUDINAL method, PHYSICAL fitness, PROGNOSIS, QUALITY of life, QUESTIONNAIRES, RESEARCH funding, PULMONARY function tests, RESPIRATORY obstructions, THREE-dimensional imaging, BODY mass index, RESPIRATORY mechanics
Abstract

Background: Traditional metrics of lung disease such as those derived from spirometry and static single-volume CT images are used to explain respiratory morbidity in patients with COPD, but are insufficient. We hypothesised that the mean Jacobian determinant, a measure of local lung expansion and contraction with respiration, would contribute independently to clinically relevant functional outcomes.Methods: We applied image registration techniques to paired inspiratory-expiratory CT scans and derived the Jacobian determinant of the deformation field between the two lung volumes to map local volume change with respiration. We analysed 490 participants with COPD with multivariable regression models to assess strengths of association between traditional CT metrics of disease and the Jacobian determinant with respiratory morbidity including dyspnoea (modified Medical Research Council), St Georges Respiratory Questionnaire (SGRQ) score, 6-min walk distance (6MWD) and the Body Mass Index, Airflow Obstruction, Dyspnoea and Exercise Capacity (BODE) index, as well as all-cause mortality.Results: The Jacobian determinant was significantly associated with SGRQ (adjusted regression coefficient β=-11.75,95% CI -21.6 to -1.7; p=0.020), and with 6MWD (β=321.15, 95% CI 134.1 to 508.1; p<0.001), independent of age, sex, race, body mass index, FEV1, smoking pack-years, CT emphysema, CT gas trapping, airway wall thickness and CT scanner type. The mean Jacobian determinant was also independently associated with the BODE index (β=-0.41, 95% CI -0.80 to -0.02; p=0.039) and mortality on follow-up (adjusted HR=4.26, 95% CI 0.93 to 19.23; p=0.064).Conclusions: Biomechanical metrics representing local lung expansion and contraction improve prediction of respiratory morbidity and mortality and offer additional prognostic information beyond traditional measures of lung function and static single-volume CT metrics.Trial Registration Number: NCT00608764; Post-results. [ABSTRACT FROM AUTHOR]

Published
2017
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34. Rheumatoid arthritis-associated autoantibodies and subclinical interstitial lung disease: the Multi-Ethnic Study of Atherosclerosis.

Author

Bernstein, Elana J, Barr, R Graham, Austin, John H M, Kawut, Steven M, Raghu, Ganesh, Sell, Jessica L, Hoffman, Eric A, Newell, John D Jr, Watts, Jubal R Jr, Nath, P Hrudaya, Sonavane, Sushil K, Bathon, Joan M, Majka, Darcy S, and Lederer, David J

Subjects
AUTOANTIBODIES, COMPARATIVE studies, COMPUTED tomography, IMMUNITY, IMMUNOGLOBULINS, INTERSTITIAL lung diseases, LONGITUDINAL method, RESEARCH methodology, MEDICAL cooperation, PEPTIDES, RESEARCH, RESEARCH funding, RHEUMATOID arthritis, SMOKING, EVALUATION research, CROSS-sectional method, DISEASE complications
Abstract

Background: Adults with interstitial lung disease (ILD) often have serologic evidence of autoimmunity of uncertain significance without overt autoimmune disease. We examined associations of rheumatoid arthritis (RA)-associated antibodies with subclinical ILD in community-dwelling adults.Methods: We measured serum rheumatoid factor (RF) and anticyclic citrullinated peptide antibody (anti-CCP) and high attenuation areas (HAAs; CT attenuation values between -600 and -250 Hounsfield units) on cardiac CT in 6736 community-dwelling US adults enrolled in the Multi-Ethnic Study of Atherosclerosis. We measured interstitial lung abnormalities (ILAs) in 2907 full-lung CTs at 9.5-year median follow-up. We used generalised linear and additive models to examine associations between autoantibodies and both HAA and ILA, and tested for effect modification by smoking.Results: In adjusted models, HAA increased by 0.49% (95% CI 0.11% to 0.86%) per doubling of RF IgM and by 0.95% (95% CI 0.50% to 1.40%) per RF IgA doubling. ILA prevalence increased by 11% (95% CI 3% to 20%) per RF IgA doubling. Smoking modified the associations of both RF IgM and anti-CCP with both HAA and ILA (interaction p values varied from 0.01 to 0.09). Among ever smokers, HAA increased by 0.81% (95% CI 0.33% to 1.30%) and ILA prevalence increased by 14% (95% CI 5% to 24%,) per RF IgM doubling; and HAA increased by 1.31% (95% CI 0.45% to 2.18%) and ILA prevalence increased by 13% (95% CI 2% to 24%) per anti-CCP doubling. Among never smokers, no meaningful associations were detected.Conclusions: RA-related autoimmunity is associated with both quantitative and qualitative subclinical ILD phenotypes on CT, particularly among ever smokers. [ABSTRACT FROM AUTHOR]

Published
2016
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35. SPIROMICS Protocol for Multicenter Quantitative Computed Tomography to Phenotype the Lungs.

Author

Sieren, Jered P., Newell, Jr., John D., Barr, R. Graham, Bleecker, Eugene R., Burnette, Nathan, Carretta, Elizabeth E., Couper, David, Goldin, Jonathan, Junfeng Guo, Han, MeiLan K., Hansel, Nadia N., Kanner, Richard E., Kazerooni, Ella A., Martinez, Fernando J., Rennard, Stephen, Woodruff, Prescott G., Hoffman, Eric A., Newell, John D Jr, Guo, Junfeng, and SPIROMICS Research Group

Subjects
ASTHMA, PULMONARY emphysema, LUNGS, LUNG diseases, OBSTRUCTIVE lung diseases, MEDICAL cooperation, RESEARCH, RESEARCH funding, PHENOTYPES, BODY mass index, PREDICTIVE tests, LUNG volume measurements, MULTIDETECTOR computed tomography
Abstract

Multidetector row computed tomography (MDCT) is increasingly taking a central role in identifying subphenotypes within chronic obstructive pulmonary disease (COPD), asthma, and other lung-related disease populations, allowing for the quantification of the amount and distribution of altered parenchyma along with the characterization of airway and vascular anatomy. The embedding of quantitative CT (QCT) into a multicenter trial with a variety of scanner makes and models along with the variety of pressures within a clinical radiology setting has proven challenging, especially in the context of a longitudinal study. SPIROMICS (Subpopulations and Intermediate Outcome Measures in COPD Study), sponsored by the National Institutes of Health, has established a QCT lung assessment system (QCT-LAS), which includes scanner-specific imaging protocols for lung assessment at total lung capacity and residual volume. Also included are monthly scanning of a standardized test object and web-based tools for subject registration, protocol assignment, and data transmission coupled with automated image interrogation to assure protocol adherence. The SPIROMICS QCT-LAS has been adopted and contributed to by a growing number of other multicenter studies in which imaging is embedded. The key components of the SPIROMICS QCT-LAS along with evidence of implementation success are described herein. While imaging technologies continue to evolve, the required components of a QCT-LAS provide the framework for future studies, and the QCT results emanating from SPIROMICS and the growing number of other studies using the SPIROMICS QCT-LAS will provide a shared resource of image-derived pulmonary metrics. [ABSTRACT FROM AUTHOR]

Published
2016
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36. Lower limit of normal based spirometric abnormalities associated with radiographic abnormality in an elderly cohort at low risk for exposure.

Author

Mikulski, Marek A., Gerke, Alicia K., Newell, John D., Murray, Ann M., Smith, Carmen J., Fuortes, Laurence J., and Newell, John D Jr

Subjects
DUST diseases, SPIROMETRY, LUNGS, LUNG diseases, PLEURA, RADIOGRAPHY, RESEARCH funding, RESPIRATORY measurements, SMOKING, OCCUPATIONAL hazards, ENVIRONMENTAL exposure, VITAL capacity (Respiration)
Abstract

Background: Although the relation between radiographic abnormalities and spirometric impairment in people with asbestosis has been studied extensively, the extent of spirometric impairment associated with milder radiographic abnormalities is not established.Objective: To test associations between mild radiographic abnormalities and Lower Limit of Normal (LLN)-based spirometry interpretation.Methods: Spirometry and CXRs were collected for 1,026 at low risk of exposure to pneumoconiotic agents participants in a medical screening program.Results: Individuals with each type of isolated or combined International Labour Organization (ILO) abnormalities had up to over sixfold statistically significant increase in odds of LLN-based restrictive pattern physiology (OR = 1.96, 95%CI 1.03-3.73 for parenchymal to OR = 6.09, 95%CI 1.94-19.10 for parenchymal and pleural) compared to those with normal films.Conclusions: The findings from this study confirm the association of mild profusion abnormalities with clinically relevant, LLN-based lung function abnormalities. [ABSTRACT FROM AUTHOR]

Published
2016
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37. Quantitative Dual-Energy Computed Tomography Supports a Vascular Etiology of Smoking-induced Inflammatory Lung Disease.

Author

Iyer, Krishna S., Newell Jr., John D., Dakai Jin, Fuld, Matthew K., Saha, Punam K., Hansdottir, Sif, Hoffman, Eric A., Newell, John D Jr, and Jin, Dakai

Abstract

Rationale: Endothelial dysfunction is of interest in relation to smoking-associated emphysema, a component of chronic obstructive pulmonary disease (COPD). We previously demonstrated that computed tomography (CT)-derived pulmonary blood flow (PBF) heterogeneity is greater in smokers with normal pulmonary function tests (PFTs) but who have visual evidence of centriacinar emphysema (CAE) on CT.Objectives: We introduced dual-energy CT (DECT) perfused blood volume (PBV) as a PBF surrogate to evaluate whether the CAE-associated increased PBF heterogeneity is reversible with sildenafil.Methods: Seventeen PFT-normal current smokers were divided into CAE-susceptible (SS; n = 10) and nonsusceptible (NS; n = 7) smokers, based on the presence or absence of CT-detected CAE. DECT-PBV images were acquired before and 1 hour after administration of 20 mg oral sildenafil. Regional PBV and PBV coefficients of variation (CV), a measure of spatial blood flow heterogeneity, were determined, followed by quantitative assessment of the central arterial tree.Measurements and Main Results: After sildenafil administration, regional PBV-CV decreased in SS subjects but did not decrease in NS subjects (P < 0.05), after adjusting for age and pack-years. Quantitative evaluation of the central pulmonary arteries revealed higher arterial volume and greater cross-sectional area (CSA) in the lower lobes of SS smokers, which suggested arterial enlargement in response to increased peripheral resistance. After sildenafil, arterial CSA decreased in SS smokers but did not decrease in NS smokers (P < 0.01).Conclusions: These results demonstrate that sildenafil restores peripheral perfusion and reduces central arterial enlargement in normal SS subjects with little effect in NS subjects, highlighting DECT-PBV as a biomarker of reversible endothelial dysfunction in smokers with CAE. [ABSTRACT FROM AUTHOR]

Published
2016
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40. Paired inspiratory-expiratory chest CT scans to assess for small airways disease in COPD.

Author

Hersh, Craig P, Washko, George R, Estépar, Raúl San José, Lutz, Sharon, Friedman, Paul J, Han, Meilan K, Hokanson, John E, Judy, Philip F, Lynch, David A, Make, Barry J, Marchetti, Nathaniel, Newell Jr, John D, Sciurba, Frank C, Crapo, James D, Silverman, Edwin K, COPDGene Investigators, and Newell, John D Jr

Abstract

Background: Gas trapping quantified on chest CT scans has been proposed as a surrogate for small airway disease in COPD. We sought to determine if measurements using paired inspiratory and expiratory CT scans may be better able to separate gas trapping due to emphysema from gas trapping due to small airway disease.Methods: Smokers with and without COPD from the COPDGene Study underwent inspiratory and expiratory chest CT scans. Emphysema was quantified by the percent of lung with attenuation < -950HU on inspiratory CT. Four gas trapping measures were defined: (1) Exp(-856), the percent of lung < -856HU on expiratory imaging; (2) E/I MLA, the ratio of expiratory to inspiratory mean lung attenuation; (3) RVC(856-950), the difference between expiratory and inspiratory lung volumes with attenuation between -856 and -950 HU; and (4) Residuals from the regression of Exp(-856) on percent emphysema.Results: In 8517 subjects with complete data, Exp(-856) was highly correlated with emphysema. The measures based on paired inspiratory and expiratory CT scans were less strongly correlated with emphysema. Exp(-856), E/I MLA and RVC(856-950) were predictive of spirometry, exercise capacity and quality of life in all subjects and in subjects without emphysema. In subjects with severe emphysema, E/I MLA and RVC(856-950) showed the highest correlations with clinical variables.Conclusions: Quantitative measures based on paired inspiratory and expiratory chest CT scans can be used as markers of small airway disease in smokers with and without COPD, but this will require that future studies acquire both inspiratory and expiratory CT scans. [ABSTRACT FROM AUTHOR]

Published
2013
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44. Association of Ground-Glass Opacities with Systemic Inflammation and Progression of Emphysema.

Author

Fortis S, Guo J, Nagpal P, Chaudhary MFA, Newell JD Jr, Gerard SE, Han MK, Kazerooni EA, Martinez FJ, Barjaktarevic IZ, Barr RG, Bodduluri S, Paine R 3rd, Awan HA, Schroeder JD, Gravens-Mueller LD, Ortega VE, Anderson WH, Cooper CB, Couper D, Woodruff PG, Bowler RP, Bhatt SP, Hoffman EA, Reinhardt JM, and Comellas AP

Subjects
Humans, Male, Female, Middle Aged, Aged, Pulmonary Disease, Chronic Obstructive physiopathology, Pulmonary Disease, Chronic Obstructive diagnostic imaging, Lung diagnostic imaging, Lung physiopathology, Spirometry, Disease Progression, Pulmonary Emphysema diagnostic imaging, Pulmonary Emphysema physiopathology, Tomography, X-Ray Computed methods, Inflammation
Abstract

Rationale: Ground-glass opacities (GGOs) in the absence of interstitial lung disease are understudied. Objectives: To assess the association of GGOs with white blood cells (WBCs) and progression of quantified chest computed tomography emphysema. Methods: We analyzed data of participants in the SPIROMICS study (Subpopulations and Intermediate Outcome Measures in COPD Study). Chest radiologists and pulmonologists labeled regions of the lung as GGOs, and the adaptive multiple feature method (AMFM) trained the computer to assign those labels to image voxels and quantify the volume of the lung with GGOs (%GGO AMFM ). We used multivariable linear regression, zero-inflated negative binomial, and proportional hazards regression models to assess the association of %GGO AMFM with WBCs, changes in percentage emphysema, and clinical outcomes. Measurements and Main Results: Among 2,714 participants, 1,680 had chronic obstructive pulmonary disease (COPD) and 1,034 had normal spirometry. Among participants with COPD, on the basis of multivariable analysis, current smoking and chronic productive cough were associated with higher %GGO AMFM . Higher %GGO AMFM was cross-sectionally associated with higher WBC and neutrophil concentrations. Higher %GGO AMFM per interquartile range at visit 1 (baseline) was associated with an increase in emphysema at 1-year follow-up visit by 11.7% (relative increase; 95% confidence interval, 7.5-16.1%; P  < 0.001). We found no association between %GGO AMFM and 1-year FEV 1 decline, but %GGO AMFM was associated with exacerbations and all-cause mortality during a median follow-up of 1,544 days (interquartile interval, 1,118-2,059). Among normal spirometry participants, we found similar results, except that %GGO AMFM was associated with progression to COPD at 1-year follow-up. Conclusions: Our findings suggest that GGO AMFM is associated with increased systemic inflammation and emphysema progression.

Published
2024
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45. Air Pollution Exposure and Interstitial Lung Features in SPIROMICS Participants with Chronic Obstructive Pulmonary Disease.

Author

Baddour NA, Paulin LM, Gassett AJ, Woo H, Hoffman EA, Newell JD Jr, Woodruff PG, Pirozzi CS, Barjaktarevic I, Barr RG, O'Neal W, Han MK, Martinez FJ, Peters SP, Hastie AT, Hansel NN, Ortega VE, Kaufman JD, and Sack CS

Subjects
Humans, Male, Female, Aged, Middle Aged, Cross-Sectional Studies, Mucin-5B genetics, Lung Diseases, Interstitial epidemiology, Lung Diseases, Interstitial etiology, Lung Diseases, Interstitial diagnostic imaging, Environmental Exposure adverse effects, United States epidemiology, Nitrogen Dioxide adverse effects, Nitrogen Dioxide analysis, Nitrogen Oxides adverse effects, Nitrogen Oxides analysis, Linear Models, Smoking adverse effects, Smoking epidemiology, Lung diagnostic imaging, Lung physiopathology, Ozone adverse effects, Prevalence, Pulmonary Disease, Chronic Obstructive epidemiology, Tomography, X-Ray Computed, Particulate Matter adverse effects, Air Pollution adverse effects
Abstract

Rationale: It is unknown whether air pollution is associated with radiographic features of interstitial lung disease in individuals with chronic obstructive pulmonary disease (COPD). Objectives: To determine whether air pollution increases the prevalence of interstitial lung abnormalities (ILA) or percent high-attenuation areas (HAA) on computed tomography (CT) in individuals with a heavy smoking history and COPD. Methods: We performed a cross-sectional study of SPIROMICS (Subpopulations and Intermediate Outcome Measures in COPD Study), focused on current or former smokers with COPD. Ten-year exposure to particulate matter ⩽2.5 μm in aerodynamic diameter (PM 2.5 ), nitrogen oxides (NO x ), nitrogen dioxide (NO 2 ), and ozone before enrollment CT (completed between 2010 and 2015) were estimated with validated spatiotemporal models at residential addresses. We applied adjusted multivariable modified Poisson regression and linear regression to investigate associations between pollution exposure and relative risk (RR) of ILA or increased percent HAA (between -600 and -250 Hounsfield units), respectively. We assessed for effect modification by MUC5B -promoter polymorphism (variant allele carriers GT or TT vs. GG at rs3705950), smoking status, sex, and percent emphysema. Results: Among 1,272 participants with COPD assessed for HAA, 424 were current smokers, and 249 were carriers of the variant MUC5B allele. A total of 519 participants were assessed for ILA. We found no association between pollution exposure and ILA or HAA. Associations between pollutant exposures and risk of ILA were modified by the presence of MUC5B polymorphism ( P value interaction term for NO x  = 0.04 and PM 2.5  = 0.05) and smoking status ( P value interaction term for NO x  = 0.05; NO 2  = 0.01; and ozone = 0.05). With higher exposure to NO x and PM 2.5 , MUC5B variant carriers had an increased risk of ILA (RR per 26 ppb NO x , 2.41; 95% confidence interval [CI], 0.97-6.0; and RR per 4 μg ⋅ m -3 PM 2.5 , 1.43; 95% CI, 0.93-2.2, respectively). With higher exposure to NO 2 , former smokers had an increased risk of ILA (RR per 10 ppb, 1.64; 95% CI, 1.0-2.7). Conclusions: Exposure to ambient air pollution was not associated with interstitial features on CT in this population of heavy smokers with COPD. MUC5B modified the association between pollution and ILA, suggesting that gene-environment interactions may influence prevalence of interstitial lung features in COPD.

Published
2024
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46. Vessel and Airway Characteristics in One-Year Computed Tomography-defined Rapid Emphysema Progression: SPIROMICS.

Author

Gerard SE, Dougherty TM, Nagpal P, Jin D, Han MK, Newell JD Jr, Saha PK, Comellas AP, Cooper CB, Couper D, Fortis S, Guo J, Hansel NN, Kanner RE, Kazeroni EA, Martinez FJ, Motahari A, Paine R 3rd, Rennard S, Schroeder JD, Woodruff PG, Barr RG, Smith BM, and Hoffman EA

Subjects
Humans, Male, Female, Aged, Middle Aged, Lung diagnostic imaging, Lung physiopathology, Forced Expiratory Volume, Pulmonary Disease, Chronic Obstructive physiopathology, Pulmonary Disease, Chronic Obstructive diagnostic imaging, Disease Progression, Pulmonary Emphysema diagnostic imaging, Pulmonary Emphysema physiopathology, Tomography, X-Ray Computed, Pulmonary Artery diagnostic imaging, Pulmonary Artery physiopathology
Abstract

Rationale: Rates of emphysema progression vary in chronic obstructive pulmonary disease (COPD), and the relationships with vascular and airway pathophysiology remain unclear. Objectives: We sought to determine if indices of peripheral (segmental and beyond) pulmonary arterial dilation measured on computed tomography (CT) are associated with a 1-year index of emphysema (EI; percentage of voxels <-950 Hounsfield units) progression. Methods: Five hundred ninety-nine former and never-smokers (Global Initiative for Chronic Obstructive Lung Disease stages 0-3) were evaluated from the SPIROMICS (Subpopulations and Intermediate Outcome Measures in COPD Study) cohort: rapid emphysema progressors (RPs; n  = 188, 1-year ΔEI > 1%), nonprogressors ( n  = 301, 1-year ΔEI ± 0.5%), and never-smokers ( n  = 110). Segmental pulmonary arterial cross-sectional areas were standardized to associated airway luminal areas (segmental pulmonary artery-to-airway ratio [PAAR seg ]). Full-inspiratory CT scan-derived total (arteries and veins) pulmonary vascular volume (TPVV) was compared with small vessel volume (radius smaller than 0.75 mm). Ratios of airway to lung volume (an index of dysanapsis and COPD risk) were compared with ratios of TPVV to lung volume. Results: Compared with nonprogressors, RPs exhibited significantly larger PAAR seg (0.73 ± 0.29 vs. 0.67 ± 0.23; P  = 0.001), lower ratios of TPVV to lung volume (3.21 ± 0.42% vs. 3.48 ± 0.38%; P  = 5.0 × 10 -12 ), lower ratios of airway to lung volume (0.031 ± 0.003 vs. 0.034 ± 0.004; P  = 6.1 × 10 -13 ), and larger ratios of small vessel volume to TPVV (37.91 ± 4.26% vs. 35.53 ± 4.89%; P  = 1.9 × 10 -7 ). In adjusted analyses, an increment of 1 standard deviation in PAAR seg was associated with a 98.4% higher rate of severe exacerbations (95% confidence interval, 29-206%; P  = 0.002) and 79.3% higher odds of being in the RP group (95% confidence interval, 24-157%; P  = 0.001). At 2-year follow-up, the CT-defined RP group demonstrated a significant decline in postbronchodilator percentage predicted forced expiratory volume in 1 second. Conclusions: Rapid one-year progression of emphysema was associated with indices indicative of higher peripheral pulmonary vascular resistance and a possible role played by pulmonary vascular-airway dysanapsis.

Published
2024
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47. Repeatability of Pulmonary Quantitative Computed Tomography Measurements in Chronic Obstructive Pulmonary Disease.

Author

Motahari A, Barr RG, Han MK, Anderson WH, Barjaktarevic I, Bleecker ER, Comellas AP, Cooper CB, Couper DJ, Hansel NN, Kanner RE, Kazerooni EA, Lynch DA, Martinez FJ, Newell JD Jr, Schroeder JD, Smith BM, Woodruff PG, and Hoffman EA

Subjects
Humans, Lung diagnostic imaging, Tomography, X-Ray Computed methods, Pulmonary Disease, Chronic Obstructive diagnostic imaging, Pulmonary Emphysema
Published
2023
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48. Residual Volume versus FRC Computed Tomography Assessment of Functional Small Airway Disease in Smokers with and without Chronic Obstructive Pulmonary Disease.

Author

Comellas AP, Newell JD Jr, Kirby M, Sieren JP, Peterson S, Hatt C, Galban CJ, Kazerooni EA, Lynch DA, Han MK, and Hoffman EA

Subjects
Humans, Residual Volume, Smokers, Tomography, Lung diagnostic imaging, Forced Expiratory Volume, Pulmonary Disease, Chronic Obstructive complications, Pulmonary Disease, Chronic Obstructive diagnostic imaging, Asthma
Published
2023
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49. Quantitative CT Characteristics of Cluster Phenotypes in the Severe Asthma Research Program Cohorts.

Author

Trivedi AP, Hall C, Goss CW, Lew D, Krings JG, McGregor MC, Samant M, Sieren JP, Li H, Schechtman KB, Schirm J, McEleney S, Peterson S, Moore WC, Bleecker ER, Meyers DA, Israel E, Washko GR, Levy BD, Leader JK, Wenzel SE, Fahy JV, Schiebler ML, Fain SB, Jarjour NN, Mauger DT, Reinhardt JM, Newell JD Jr, Hoffman EA, Castro M, and Sheshadri A

Subjects
Cross-Sectional Studies, Female, Humans, Lung diagnostic imaging, Phenotype, Pulmonary Disease, Chronic Obstructive, Retrospective Studies, Tomography, X-Ray Computed methods, Asthma diagnostic imaging
Abstract

Background Clustering key clinical characteristics of participants in the Severe Asthma Research Program (SARP), a large, multicenter prospective observational study of patients with asthma and healthy controls, has led to the identification of novel asthma phenotypes. Purpose To determine whether quantitative CT (qCT) could help distinguish between clinical asthma phenotypes. Materials and Methods A retrospective cross-sectional analysis was conducted with the use of qCT images (maximal bronchodilation at total lung capacity [TLC], or inspiration, and functional residual capacity [FRC], or expiration) from the cluster phenotypes of SARP participants (cluster 1: minimal disease; cluster 2: mild, reversible; cluster 3: obese asthma; cluster 4: severe, reversible; cluster 5: severe, irreversible) enrolled between September 2001 and December 2015. Airway morphometry was performed along standard paths (RB1, RB4, RB10, LB1, and LB10). Corresponding voxels from TLC and FRC images were mapped with use of deformable image registration to characterize disease probability maps (DPMs) of functional small airway disease (fSAD), voxel-level volume changes (Jacobian), and isotropy (anisotropic deformation index [ADI]). The association between cluster assignment and qCT measures was evaluated using linear mixed models. Results A total of 455 participants were evaluated with cluster assignments and CT (mean age ± SD, 42.1 years ± 14.7; 270 women). Airway morphometry had limited ability to help discern between clusters. DPM fSAD was highest in cluster 5 (cluster 1 in SARP III: 19.0% ± 20.6; cluster 2: 18.9% ± 13.3; cluster 3: 24.9% ± 13.1; cluster 4: 24.1% ± 8.4; cluster 5: 38.8% ± 14.4; P < .001). Lower whole-lung Jacobian and ADI values were associated with greater cluster severity. Compared to cluster 1, cluster 5 lung expansion was 31% smaller (Jacobian in SARP III cohort: 2.31 ± 0.6 vs 1.61 ± 0.3, respectively, P < .001) and 34% more isotropic (ADI in SARP III cohort: 0.40 ± 0.1 vs 0.61 ± 0.2, P < .001). Within-lung Jacobian and ADI SDs decreased as severity worsened (Jacobian SD in SARP III cohort: 0.90 ± 0.4 for cluster 1; 0.79 ± 0.3 for cluster 2; 0.62 ± 0.2 for cluster 3; 0.63 ± 0.2 for cluster 4; and 0.41 ± 0.2 for cluster 5; P < .001). Conclusion Quantitative CT assessments of the degree and intraindividual regional variability of lung expansion distinguished between well-established clinical phenotypes among participants with asthma from the Severe Asthma Research Program study. © RSNA, 2022 Online supplemental material is available for this article. See also the editorial by Verschakelen in this issue.

Published
2022
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50. Mucus Plugs in Asthma at CT Associated with Regional Ventilation Defects at 3 He MRI.

Author

Mummy DG, Dunican EM, Carey KJ, Evans MD, Elicker BM, Newell JD Jr, Gierada DS, Nagle SK, Schiebler ML, Sorkness RL, Jarjour NN, Denlinger LC, Fahy JV, and Fain SB

Subjects
Female, Helium, Humans, Lung, Magnetic Resonance Imaging methods, Male, Mucus diagnostic imaging, Tomography, X-Ray Computed methods, Asthma diagnostic imaging, Respiration Disorders
Abstract

Background Airway mucus plugs in asthma are associated with exacerbation frequency, increased eosinophilia, and reduced lung function. The relationship between mucus plugs and spatially overlapping ventilation abnormalities observed at hyperpolarized gas MRI has not been assessed quantitatively. Purpose To assess regional associations between CT mucus plugs scored by individual bronchopulmonary segment and corresponding measurements of segmental ventilation defect percentage (VDP) at hyperpolarized helium 3 ( 3 He) MRI. Materials and Methods In this secondary analysis of a Health Insurance Portability and Accountability Act-compliant prospective observational cohort, participants in the Severe Asthma Research Program (SARP) III (NCT01760915) between December 2012 and August 2015 underwent hyperpolarized 3 He MRI to determine segmental VDP. Segmental mucus plugs at CT were scored by two readers, with segments scored as plugged only if both readers agreed independently. A linear mixed-effects model controlling for interpatient variability was then used to assess differences in VDP in plugged versus plug-free segments. Results Forty-four participants with asthma were assessed (mean age ± standard deviation, 47 years ± 15; 29 women): 19 with mild-to-moderate asthma and 25 with severe asthma. Mucus plugs were observed in 49 total bronchopulmonary segments across eight of 44 patients. Segments containing mucus plugs had a median segmental VDP of 25.9% (25th-75th percentile, 7.3%-38.3%) versus 1.4% (25th-75th percentile, 0.1%-5.2%; P < .001) in plug-free segments. Similarly, the model estimated a segmental VDP of 18.9% (95% CI: 15.7, 22.2) for mucus-plugged segments versus 5.1% (95% CI: 3.3, 7.0) for plug-free segments ( P < .001). Participants with one or more mucus plugs had a median whole-lung VDP of 11.1% (25th-75th percentile, 7.1%-18.9%) versus 3.1% (25th-75th percentile, 1.1%-4.4%) in those without plugs ( P < .001). Conclusion Airway mucus plugging at CT was associated with reduced ventilation in the same bronchopulmonary segment at hyperpolarized helium 3 MRI, suggesting that mucus plugging may be an important cause of ventilation defects in asthma. © RSNA, 2021 Online supplemental material is available for this article.

Published
2022
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