135 results on '"Tuthill, Theresa"'
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2. Performance of non-invasive tests and histology for the prediction of clinical outcomes in patients with non-alcoholic fatty liver disease: an individual participant data meta-analysis
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Anstee, Quentin M, Daly, Ann K, Govaere, Olivier, Cockell, Simon, Tiniakos, Dina, Bedossa, Pierre, Burt, Alastair, Oakley, Fiona, Cordell, Heather J, Day, Christopher P, Wonders, Kristy, Missier, Paolo, McTeer, Matthew, Vale, Luke, Oluboyede, Yemi, Breckons, Matt, Bossuyt, Patrick M, Zafarmand, Hadi, Vali, Yasaman, Lee, Jenny, Nieuwdorp, Max, Holleboom, Adriaan G, Verheij, Joanne, Ratziu, Vlad, Clément, Karine, Patino-Navarrete, Rafael, Pais, Raluca, Paradis, Valerie, Schuppan, Detlef, Schattenberg, Jörn M, Surabattula, Rambabu, Myneni, Sudha, Straub, Beate K, Vidal-Puig, Toni, Vacca, Michele, Rodrigues-Cuenca, Sergio, Allison, Mike, Kamzolas, Ioannis, Petsalaki, Evangelia, Campbell, Mark, Lelliott, Chris J, Davies, Susan, Orešič, Matej, Hyötyläinen, Tuulia, McGlinchey, Aiden, Mato, Jose M, Millet, Óscar, Dufour, Jean-François, Berzigotti, Annalisa, Masoodi, Mojgan, Pavlides, Michael, Harrison, Stephen, Neubauer, Stefan, Cobbold, Jeremy, Mozes, Ferenc, Akhtar, Salma, Olodo-Atitebi, Seliat, Banerjee, Rajarshi, Kelly, Matt, Shumbayawonda, Elizabeth, Dennis, Andrea, Andersson, Anneli, Wigley, Ioan, Romero-Gómez, Manuel, Gómez-González, Emilio, Ampuero, Javier, Castell, Javier, Gallego-Durán, Rocío, Fernández, Isabel, Montero-Vallejo, Rocío, Karsdal, Morten, Rasmussen, Daniel Guldager Kring, Leeming, Diana Julie, Sinisi, Antonia, Musa, Kishwar, Sandt, Estelle, Tonini, Manuela, Bugianesi, Elisabetta, Rosso, Chiara, Armandi, Angelo, Marra, Fabio, Gastaldelli, Amalia, Svegliati, Gianluca, Boursier, Jérôme, Francque, Sven, Vonghia, Luisa, Driessen, Ann, Ekstedt, Mattias, Kechagias, Stergios, Yki-Järvinen, Hannele, Porthan, Kimmo, Arola, Johanna, van Mil, Saskia, Papatheodoridis, George, Cortez-Pinto, Helena, Rodrigues, Cecilia M P, Valenti, Luca, Pelusi, Serena, Petta, Salvatore, Pennisi, Grazia, Miele, Luca, Geier, Andreas, Trautwein, Christian, Reißing, Johanna, Aithal, Guruprasad P, Francis, Susan, Palaniyappan, Naaventhan, Bradley, Christopher, Hockings, Paul, Schneider, Moritz, Newsome, Philip, Hübscher, Stefan, Wenn, David, Rosenquist, Christian, Trylesinski, Aldo, Mayo, Rebeca, Alonso, Cristina, Duffin, Kevin, Perfield, James W, Chen, Yu, Yunis, Carla, Tuthill, Theresa, Harrington, Magdalena Alicia, Miller, Melissa, Chen, Yan, McLeod, Euan James, Ross, Trenton, Bernardo, Barbara, Schölch, Corinna, Ertle, Judith, Younes, Ramy, Oldenburger, Anouk, Coxson, Harvey, Ostroff, Rachel, Alexander, Leigh, Biegel, Hannah, Kjær, Mette Skalshøi, Harder, Lea Mørch, Davidsen, Peter, Ellegaard, Jens, Balp, Maria-Magdalena, Brass, Clifford, Jennings, Lori, Martic, Miljen, Löffler, Jürgen, Applegate, Douglas, Shankar, Sudha, Torstenson, Richard, Lindén, Daniel, Fournier-Poizat, Céline, Llorca, Anne, Kalutkiewicz, Michael, Pepin, Kay, Ehman, Richard, Horan, Gerald, Ho, Gideon, Tai, Dean, Chng, Elaine, Patterson, Scott D, Billin, Andrew, Doward, Lynda, Twiss, James, Thakker, Paresh, Derdak, Zoltan, Landgren, Henrik, Lackner, Carolin, Gouw, Annette, Hytiroglou, Prodromos, Mózes, Ferenc E, Lee, Jenny A, Alzoubi, Osama, Staufer, Katharina, Trauner, Michael, Paternostro, Rafael, Stauber, Rudolf E, van Dijk, Anne-Marieke, Mak, Anne Linde, de Saint Loup, Marc, Shima, Toshihide, Gaia, Silvia, Shalimar, Lupșor-Platon, Monica, Wong, Vincent Wai-Sun, Li, Guanlin, Wong, Grace Lai-Hung, Karlas, Thomas, Wiegand, Johannes, Sebastiani, Giada, Tsochatzis, Emmanuel, Liguori, Antonio, Yoneda, Masato, Nakajima, Atsushi, Hagström, Hannes, Akbari, Camilla, Hirooka, Masashi, Chan, Wah-Kheong, Mahadeva, Sanjiv, Rajaram, Ruveena, Zheng, Ming-Hua, George, Jacob, Eslam, Mohammed, Viganò, Mauro, Ridolfo, Sofia, Aithal, Guruprasad Padur, Lee, Dae Ho, Nasr, Patrik, Cassinotto, Christophe, de Lédinghen, Victor, Mendoza, Yuly P, Noureddin, Mazen, Truong, Emily, and Harrison, Stephen A
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- 2023
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3. Increased serum miR-193a-5p during non-alcoholic fatty liver disease progression: Diagnostic and mechanistic relevance
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Clark, James, Cordell, Heather J., Darlay, Rebecca, Day, Christopher P., Hardy, Tim, Liu, Yang-Lin, Oakley, Fiona, Palmer, Jeremy, Queen, Rachel, Wonders, Kristy, Bossuyt, Patrick M., Holleboom, Adriaan G., Zafarmand, Hadi, Vali, Yasaman, Lee, Jenny, Clement, Karine, Pais, Raluca, Schuppan, Detlef, Allison, Michael, Cuenca, Sergio Rodriguez, Pellegrinelli, Vanessa, Vacca, Michele, Vidal-Puig, Antonio, Hyötyläinen, Tuulia, McGlinchey, Aidan, Orešič, Matej, Sen, Partho, Mato, Jose, Millet, Óscar, Dufour, Jean-Francois, Harrison, Stephen, Neubauer, Stefan, Pavlides, Michael, Mozes, Ferenc, Akhtar, Salma, Banerjee, Rajarshi, Kelly, Matt, Shumbayawonda, Elizabeth, Dennis, Andrea, Erpicum, Charlotte, Romero-Gomez, Manuel, Gallego-Durán, Rocío, Fernández, Isabel, Karsdal, Morten, Leeming, Diana, Fisker, Mette Juul, Erhardtsen, Elisabeth, Rasmussen, Daniel, Qvist, Per, Sinisi, Antonia, Sandt, Estelle, Tonini, Maria Manuela, Parola, Maurizio, Rosso, Chiara, Marra, Fabio, Gastaldelli, Amalia, Francque, Sven, Kechagias, Stergios, Yki-Järvinen, Hannele, Porthan, Kimmo, van Mil, Saskia, Papatheodoridis, George, Cortez-Pinto, Helena, Valenti, Luca, Petta, Salvatore, Miele, Luca, Geier, Andreas, Trautwein, Christian, Hockings, Paul, Newsome, Phil, Wenn, David, Pereira Rodrigues, Cecília Maria, Hanf, Rémy, Chaumat, Pierre, Rosenquist, Christian, Trylesinski, Aldo, Ortiz, Pablo, Duffin, Kevin, Yunis, Carla, Miller, Melissa, Tuthill, Theresa, Ertle, Judith, Younes, Ramy, Alexander, Leigh, Ostroff, Rachel, Kjær, Mette Skalshøi, Mikkelsen, Lars Friis, Brass, Clifford, Jennings, Lori, Balp, Maria-Magdalena, Martic, Miljen, Hanauer, Guido, Shankar, Sudha, Torstenson, Richard, Fournier, Céline, Ehman, Richard, Kalutkiewicz, Michael, Pepin, Kay, Myers, Joel, Shevell, Diane, Ho, Gideon, Landgren, Henrik, Myers, Rob, Doward, Lynda, Whalley, Diane, Twiss, James, Johnson, Katherine, Leary, Peter J., Govaere, Olivier, Barter, Matthew J., Charlton, Sarah H., Cockell, Simon J., Tiniakos, Dina, Zatorska, Michalina, Bedossa, Pierre, Brosnan, M. Julia, Cobbold, Jeremy F., Ekstedt, Mattias, Aithal, Guruprasad P., Clément, Karine, Schattenberg, Jörn M., Boursier, Jerome, Ratziu, Vlad, Bugianesi, Elisabetta, Anstee, Quentin M., and Daly, Ann K.
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- 2022
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4. ACC inhibitor alone or co-administered with a DGAT2 inhibitor in patients with non-alcoholic fatty liver disease: two parallel, placebo-controlled, randomized phase 2a trials
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Calle, Roberto A., Amin, Neeta B., Carvajal-Gonzalez, Santos, Ross, Trenton T., Bergman, Arthur, Aggarwal, Sudeepta, Crowley, Collin, Rinaldi, Anthony, Mancuso, Jessica, Aggarwal, Naresh, Somayaji, Veena, Inglot, Malgorzata, Tuthill, Theresa A., Kou, Kou, Boucher, Magalie, Tesz, Greg, Dullea, Robert, Bence, Kendra K., Kim, Albert M., Pfefferkorn, Jeffrey A., and Esler, William P.
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- 2021
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5. Scattering Signatures of Normal versus Abnormal Livers with Support Vector Machine Classification
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Baek, Jihye, Poul, Sedigheh S., Swanson, Terri A., Tuthill, Theresa, and Parker, Kevin J.
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- 2020
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6. Advancing AI-assisted US Screening for Fatty Liver
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Tuthill, Theresa A., primary
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- 2023
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7. Performance of non-invasive tests and histology for the prediction of clinical outcomes in patients with non-alcoholic fatty liver disease: an individual participant data meta-analysis
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Mozes, Ferenc E., Lee, Jenny A., Vali, Yasaman, Alzoubi, Osama, Staufer, Katharina, Trauner, Michael, Paternostro, Rafael, Stauber, Rudolf E., Holleboom, Adriaan G., van Dijk, Anne-Marieke, Mak, Anne Linde, Boursier, Jerome, Loup, Marc de Saint, Shima, Toshihide, Bugianesi, Elisabetta, Gaia, Silvia, Armandi, Angelo, Shalimar, Lupsor-Platon, Monica, Wong, Vincent Wai-Sun, Li, Guanlin, Wong, Grace Lai-Hung, Cobbold, Jeremy, Karlas, Thomas, Wiegand, Johannes, Sebastiani, Giada, Tsochatzis, Emmanuel, Liguori, Antonio, Yoneda, Masato, Nakajima, Atsushi, Hagstrom, Hannes, Akbari, Camilla, Hirooka, Masashi, Chan, Wah-Kheong, Mahadeva, Sanjiv, Rajaram, Ruveena, Zheng, Ming-Hua, George, Jacob, Eslam, Mohammed, Petta, Salvatore, Pennisi, Grazia, Vigano, Mauro, Ridolfo, Sofia, Aithal, Guruprasad Padur, Palaniyappan, Naaventhan, Lee, Dae Ho, Ekstedt, Mattias, Nasr, Patrik, Cassinotto, Christophe, de Ledinghen, Victor, Berzigotti, Annalisa, Mendoza, Yuly P., Noureddin, Mazen, Truong, Emily, Fournier-Poizat, Celine, Geier, Andreas, Martic, Miljen, Tuthill, Theresa, Anstee, Quentin M., Harrison, Stephen A., Bossuyt, Patrick M., Pavlides, Michael, Mozes, Ferenc E., Lee, Jenny A., Vali, Yasaman, Alzoubi, Osama, Staufer, Katharina, Trauner, Michael, Paternostro, Rafael, Stauber, Rudolf E., Holleboom, Adriaan G., van Dijk, Anne-Marieke, Mak, Anne Linde, Boursier, Jerome, Loup, Marc de Saint, Shima, Toshihide, Bugianesi, Elisabetta, Gaia, Silvia, Armandi, Angelo, Shalimar, Lupsor-Platon, Monica, Wong, Vincent Wai-Sun, Li, Guanlin, Wong, Grace Lai-Hung, Cobbold, Jeremy, Karlas, Thomas, Wiegand, Johannes, Sebastiani, Giada, Tsochatzis, Emmanuel, Liguori, Antonio, Yoneda, Masato, Nakajima, Atsushi, Hagstrom, Hannes, Akbari, Camilla, Hirooka, Masashi, Chan, Wah-Kheong, Mahadeva, Sanjiv, Rajaram, Ruveena, Zheng, Ming-Hua, George, Jacob, Eslam, Mohammed, Petta, Salvatore, Pennisi, Grazia, Vigano, Mauro, Ridolfo, Sofia, Aithal, Guruprasad Padur, Palaniyappan, Naaventhan, Lee, Dae Ho, Ekstedt, Mattias, Nasr, Patrik, Cassinotto, Christophe, de Ledinghen, Victor, Berzigotti, Annalisa, Mendoza, Yuly P., Noureddin, Mazen, Truong, Emily, Fournier-Poizat, Celine, Geier, Andreas, Martic, Miljen, Tuthill, Theresa, Anstee, Quentin M., Harrison, Stephen A., Bossuyt, Patrick M., and Pavlides, Michael
- Abstract
Background Histologically assessed liver fibrosis stage has prognostic significance in patients with non-alcoholic fatty liver disease (NAFLD) and is accepted as a surrogate endpoint in clinical trials for non-cirrhotic NAFLD. Our aim was to compare the prognostic performance of non-invasive tests with liver histology in patients with NAFLD. Methods This was an individual participant data meta-analysis of the prognostic performance of histologically assessed fibrosis stage (F0-4), liver stiffness measured by vibration-controlled transient elastography (LSM-VCTE), fibrosis-4 index (FIB-4), and NAFLD fibrosis score (NFS) in patients with NAFLD. The literature was searched for a previously published systematic review on the diagnostic accuracy of imaging and simple non-invasive tests and updated to Jan 12, 2022 for this study. Studies were identified through PubMed/MEDLINE, EMBASE, and CENTRAL, and authors were contacted for individual participant data, including outcome data, with a minimum of 12 months of follow-up. The primary outcome was a composite endpoint of all-cause mortality, hepatocellular carcinoma, liver transplantation, or cirrhosis complications (ie, ascites, variceal bleeding, hepatic encephalopathy, or progression to a MELD score >= 15). We calculated aggregated survival curves for trichotomised groups and compared them using stratified log-rank tests (histology: F0-2 vs F3 vs F4; LSM: <10 vs 10 to <20 vs >= 20 kPa; FIB-4: <1
3 vs 1 3 to <= 2 67 vs >2 67; NFS: <-1 455 vs -1 455 to <= 0 676 vs >0 676), calculated areas under the time-dependent receiver operating characteristic curves (tAUC), and performed Cox proportional-hazards regression to adjust for confounding. This study was regist, Funding Agencies|Innovative Medicines Initiative 2 (IMI2) Joint Undertaking [777377]; EU; EFPIA; Fonds de Recherche du Quebec-Sante [296306]; Wellcome Trust [221805/Z/20/Z]; Royal Society [221805/Z/20/Z]; KHIDI - Ministry of Health Welfare, Korea [HI14C1135]; Newcastle NIHR Biomedical Research Centre - Published
- 2023
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8. Performance of non-invasive tests and histology for the prediction of clinical outcomes in patients with non-alcoholic fatty liver disease: an individual participant data meta-analysis
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Mózes, Ferenc E, Lee, Jenny A, Vali, Yasaman, Alzoubi, Osama, Staufer, Katharina, Trauner, Michael, Paternostro, Rafael, Stauber, Rudolf E, Holleboom, Adriaan G, van Dijk, Anne-Marieke, Mak, Anne Linde, Boursier, Jérôme, de Saint Loup, Marc, Shima, Toshihide, Bugianesi, Elisabetta, Gaia, Silvia, Armandi, Angelo, Shalimar, Null, Lupșor-Platon, Monica, Wong, Vincent Wai-Sun, Li, Guanlin, Wong, Grace Lai-Hung, Cobbold, Jeremy, Karlas, Thoma, Wiegand, Johanne, Sebastiani, Giada, Tsochatzis, Emmanuel, Liguori, Antonio, Yoneda, Masato, Nakajima, Atsushi, Hagström, Hanne, Akbari, Camilla, Hirooka, Masashi, Chan, Wah-Kheong, Mahadeva, Sanjiv, Rajaram, Ruveena, Zheng, Ming-Hua, George, Jacob, Eslam, Mohammed, Petta, Salvatore, Pennisi, Grazia, Viganò, Mauro, Ridolfo, Sofia, Aithal, Guruprasad Padur, Palaniyappan, Naaventhan, Lee, Dae Ho, Ekstedt, Mattia, Nasr, Patrik, Cassinotto, Christophe, de Lédinghen, Victor, Berzigotti, Annalisa, Mendoza, Yuly P, Noureddin, Mazen, Truong, Emily, Fournier-Poizat, Céline, Geier, Andrea, Martic, Miljen, Tuthill, Theresa, Anstee, Quentin M, Harrison, Stephen A, Bossuyt, Patrick M, Pavlides, Michael, Miele, Luca, Litmus, Investigators, Miele, Luca (ORCID:0000-0003-3464-0068), Mózes, Ferenc E, Lee, Jenny A, Vali, Yasaman, Alzoubi, Osama, Staufer, Katharina, Trauner, Michael, Paternostro, Rafael, Stauber, Rudolf E, Holleboom, Adriaan G, van Dijk, Anne-Marieke, Mak, Anne Linde, Boursier, Jérôme, de Saint Loup, Marc, Shima, Toshihide, Bugianesi, Elisabetta, Gaia, Silvia, Armandi, Angelo, Shalimar, Null, Lupșor-Platon, Monica, Wong, Vincent Wai-Sun, Li, Guanlin, Wong, Grace Lai-Hung, Cobbold, Jeremy, Karlas, Thoma, Wiegand, Johanne, Sebastiani, Giada, Tsochatzis, Emmanuel, Liguori, Antonio, Yoneda, Masato, Nakajima, Atsushi, Hagström, Hanne, Akbari, Camilla, Hirooka, Masashi, Chan, Wah-Kheong, Mahadeva, Sanjiv, Rajaram, Ruveena, Zheng, Ming-Hua, George, Jacob, Eslam, Mohammed, Petta, Salvatore, Pennisi, Grazia, Viganò, Mauro, Ridolfo, Sofia, Aithal, Guruprasad Padur, Palaniyappan, Naaventhan, Lee, Dae Ho, Ekstedt, Mattia, Nasr, Patrik, Cassinotto, Christophe, de Lédinghen, Victor, Berzigotti, Annalisa, Mendoza, Yuly P, Noureddin, Mazen, Truong, Emily, Fournier-Poizat, Céline, Geier, Andrea, Martic, Miljen, Tuthill, Theresa, Anstee, Quentin M, Harrison, Stephen A, Bossuyt, Patrick M, Pavlides, Michael, Miele, Luca, Litmus, Investigators, and Miele, Luca (ORCID:0000-0003-3464-0068)
- Abstract
Background: Histologically assessed liver fibrosis stage has prognostic significance in patients with non-alcoholic fatty liver disease (NAFLD) and is accepted as a surrogate endpoint in clinical trials for non-cirrhotic NAFLD. Our aim was to compare the prognostic performance of non-invasive tests with liver histology in patients with NAFLD. Methods: This was an individual participant data meta-analysis of the prognostic performance of histologically assessed fibrosis stage (F0-4), liver stiffness measured by vibration-controlled transient elastography (LSM-VCTE), fibrosis-4 index (FIB-4), and NAFLD fibrosis score (NFS) in patients with NAFLD. The literature was searched for a previously published systematic review on the diagnostic accuracy of imaging and simple non-invasive tests and updated to Jan 12, 2022 for this study. Studies were identified through PubMed/MEDLINE, EMBASE, and CENTRAL, and authors were contacted for individual participant data, including outcome data, with a minimum of 12 months of follow-up. The primary outcome was a composite endpoint of all-cause mortality, hepatocellular carcinoma, liver transplantation, or cirrhosis complications (ie, ascites, variceal bleeding, hepatic encephalopathy, or progression to a MELD score ≥15). We calculated aggregated survival curves for trichotomised groups and compared them using stratified log-rank tests (histology: F0-2 vs F3 vs F4; LSM: <10 vs 10 to <20 vs ≥20 kPa; FIB-4: <1·3 vs 1·3 to ≤2·67 vs >2·67; NFS: <-1·455 vs -1·455 to ≤0·676 vs >0·676), calculated areas under the time-dependent receiver operating characteristic curves (tAUC), and performed Cox proportional-hazards regression to adjust for confounding. This study was registered with PROSPERO, CRD42022312226. Findings: Of 65 eligible studies, we included data on 2518 patients with biopsy-proven NAFLD from 25 studies (1126 [44·7%] were female, median age was 54 years [IQR 44-63), and 1161 [46·1%] had type 2 diabetes). After a me
- Published
- 2023
9. Machine learning algorithm improves the detection of NASH (NAS-based) and at-risk NASH: A development and validation study
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Jenny, Lee, Max, Westphal, Yasaman, Vali, Jerome, Boursier, Salvatorre, Petta, Rachel, Ostroff, Leigh, Alexander, Yu, Chen, Celine, Fournier, Andreas, Geier, Sven, Francque, Kristy, Wonder, Dina, Tiniako, Pierre, Bedossa, Mike, Allison, Georgios, Papatheodoridi, Helena, Cortez-Pinto, Raluca, Pai, Jean-Francois, Dufour, Diana Julie, Leeming, Stephen, Harrison, Jeremy, Cobbold, Adriaan G, Holleboom, Hannele, Yki-Järvinen, Javier, Crespo, Mattias, Ekstedt, Guruprasad P, Aithal, Elisabetta, Bugianesi, Manuel, Romero-Gomez, Richard, Torstenson, Morten, Karsdal, Carla, Yuni, Jörn M, Schattenberg, Detlef, Schuppan, Vlad, Ratziu, Clifford, Bra, Kevin, Duffin, Koos, Zwinderman, Michael, Pavlide, Quentin M, Anstee, Patrick M, Bossuyt, Anstee, Quentin M., Daly, Ann K., Govaere, Olivier, Cockell, Simon, Tiniakos, Dina, Bedossa, Pierre, Burt, Alastair, Oakley, Fiona, Cordell, Heather J., Day, Christopher P., Wonders, Kristy, Missier, Paolo, Mcteer, Matthew, Vale, Luke, Oluboyede, Yemi, Breckons, Matt, Bossuyt, Patrick M., Zafarmand, Hadi, Vali, Yasaman, Lee, Jenny, Nieuwdorp, Max, Holleboom, Adriaan G., Verheij, Joanne, Ratziu, Vlad, Clément, Karine, Patino-Navarrete, Rafael, Pais, Raluca, Paradis, Valerie, Schuppan, Detlef, Schattenberg, Jörn M., Surabattula, Rambabu, Myneni, Sudha, Straub, Beate K., Vidal-Puig, Toni, Vacca, Michele, Rodrigues-Cuenca, Sergio, Allison, Mike, Kamzolas, Ioanni, Petsalaki, Evangelia, Campbell, Mark, Lelliott, Chris J., Davies, Susan, Orešič, Matej, Hyötyläinen, Tuulia, Mcglinchey, Aiden, Mato, Jose M., Millet, Óscar, Dufour, Jean-Françoi, Berzigotti, Annalisa, Masoodi, Mojgan, Pavlides, Michael, Harrison, Stephen, Neubauer, Stefan, Cobbold, Jeremy, Mozes, Ferenc, Akhtar, Salma, Olodo-Atitebi, Seliat, Banerjee, Rajarshi, Kelly, Matt, Shumbayawonda, Elizabeth, Dennis, Andrea, Andersson, Anneli, Wigley, Ioan, Romero-Gómez, Manuel, Gómez-González, Emilio, Ampuero, Javier, Castell, Javier, Gallego-Durán, Rocío, Fernández, Isabel, Montero-Vallejo, Rocío, Karsdal, Morten, Guldager Kring Rasmussen, Daniel, Leeming, Diana Julie, Sinisi, Antonia, Musa, Kishwar, Sandt, Estelle, Tonini, Manuela, Bugianesi, Elisabetta, Rosso, Chiara, Armandi, Angelo, Marra, Fabio, Gastaldelli, Amalia, Svegliati, Gianluca, Boursier, Jérôme, Francque, Sven, Vonghia, Luisa, Driessen, Ann, Ekstedt, Mattia, Kechagias, Stergio, Yki-Järvinen, Hannele, Porthan, Kimmo, Arola, Johanna, van Mil, Saskia, Papatheodoridis, George, Cortez-Pinto, Helena, Rodrigues, Cecilia M. P., Valenti, Luca, Pelusi, Serena, Petta, Salvatore, Pennisi, Grazia, Miele, Luca, Geier, Andrea, Trautwein, Christian, Aithal, Guruprasad P., Francis, Susan, Hockings, Paul, Schneider, Moritz, Newsome, Philip, Hübscher, Stefan, Wenn, David, Rosenquist, Christian, Trylesinski, Aldo, Mayo, Rebeca, Alonso, Cristina, Duffin, Kevin, Perfield, James W., Chen, Yu, Yunis, Carla, Tuthill, Theresa, Harrington, Magdalena Alicia, Miller, Melissa, Chen, Yan, Mcleod, Euan Jame, Ross, Trenton, Bernardo, Barbara, Schölch, Corinna, Ertle, Judith, Younes, Ramy, Oldenburger, Anouk, Ostroff, Rachel, Alexander, Leigh, Biegel, Hannah, Skalshøi Kjær, Mette, Mørch Harder, Lea, Davidsen, Peter, Mikkelsen, Lars Frii, Balp, Maria-Magdalena, Brass, Clifford, Jennings, Lori, Martic, Miljen, Löffler, Jürgen, Applegate, Dougla, Shankar, Sudha, Torstenson, Richard, Fournier-Poizat, Céline, Llorca, Anne, Kalutkiewicz, Michael, Pepin, Kay, Ehman, Richard, Horan, Gerald, Ho, Gideon, Tai, Dean, Chng, Elaine, Patterson, Scott D., Billin, Andrew, Doward, Lynda, Twiss, Jame, Thakker, Paresh, Landgren, Henrik, Lackner, Carolin, Gouw, Annette, Hytiroglou, Prodromos, Luca, Miele (ORCID:0000-0003-3464-0068), Jenny, Lee, Max, Westphal, Yasaman, Vali, Jerome, Boursier, Salvatorre, Petta, Rachel, Ostroff, Leigh, Alexander, Yu, Chen, Celine, Fournier, Andreas, Geier, Sven, Francque, Kristy, Wonder, Dina, Tiniako, Pierre, Bedossa, Mike, Allison, Georgios, Papatheodoridi, Helena, Cortez-Pinto, Raluca, Pai, Jean-Francois, Dufour, Diana Julie, Leeming, Stephen, Harrison, Jeremy, Cobbold, Adriaan G, Holleboom, Hannele, Yki-Järvinen, Javier, Crespo, Mattias, Ekstedt, Guruprasad P, Aithal, Elisabetta, Bugianesi, Manuel, Romero-Gomez, Richard, Torstenson, Morten, Karsdal, Carla, Yuni, Jörn M, Schattenberg, Detlef, Schuppan, Vlad, Ratziu, Clifford, Bra, Kevin, Duffin, Koos, Zwinderman, Michael, Pavlide, Quentin M, Anstee, Patrick M, Bossuyt, Anstee, Quentin M., Daly, Ann K., Govaere, Olivier, Cockell, Simon, Tiniakos, Dina, Bedossa, Pierre, Burt, Alastair, Oakley, Fiona, Cordell, Heather J., Day, Christopher P., Wonders, Kristy, Missier, Paolo, Mcteer, Matthew, Vale, Luke, Oluboyede, Yemi, Breckons, Matt, Bossuyt, Patrick M., Zafarmand, Hadi, Vali, Yasaman, Lee, Jenny, Nieuwdorp, Max, Holleboom, Adriaan G., Verheij, Joanne, Ratziu, Vlad, Clément, Karine, Patino-Navarrete, Rafael, Pais, Raluca, Paradis, Valerie, Schuppan, Detlef, Schattenberg, Jörn M., Surabattula, Rambabu, Myneni, Sudha, Straub, Beate K., Vidal-Puig, Toni, Vacca, Michele, Rodrigues-Cuenca, Sergio, Allison, Mike, Kamzolas, Ioanni, Petsalaki, Evangelia, Campbell, Mark, Lelliott, Chris J., Davies, Susan, Orešič, Matej, Hyötyläinen, Tuulia, Mcglinchey, Aiden, Mato, Jose M., Millet, Óscar, Dufour, Jean-Françoi, Berzigotti, Annalisa, Masoodi, Mojgan, Pavlides, Michael, Harrison, Stephen, Neubauer, Stefan, Cobbold, Jeremy, Mozes, Ferenc, Akhtar, Salma, Olodo-Atitebi, Seliat, Banerjee, Rajarshi, Kelly, Matt, Shumbayawonda, Elizabeth, Dennis, Andrea, Andersson, Anneli, Wigley, Ioan, Romero-Gómez, Manuel, Gómez-González, Emilio, Ampuero, Javier, Castell, Javier, Gallego-Durán, Rocío, Fernández, Isabel, Montero-Vallejo, Rocío, Karsdal, Morten, Guldager Kring Rasmussen, Daniel, Leeming, Diana Julie, Sinisi, Antonia, Musa, Kishwar, Sandt, Estelle, Tonini, Manuela, Bugianesi, Elisabetta, Rosso, Chiara, Armandi, Angelo, Marra, Fabio, Gastaldelli, Amalia, Svegliati, Gianluca, Boursier, Jérôme, Francque, Sven, Vonghia, Luisa, Driessen, Ann, Ekstedt, Mattia, Kechagias, Stergio, Yki-Järvinen, Hannele, Porthan, Kimmo, Arola, Johanna, van Mil, Saskia, Papatheodoridis, George, Cortez-Pinto, Helena, Rodrigues, Cecilia M. P., Valenti, Luca, Pelusi, Serena, Petta, Salvatore, Pennisi, Grazia, Miele, Luca, Geier, Andrea, Trautwein, Christian, Aithal, Guruprasad P., Francis, Susan, Hockings, Paul, Schneider, Moritz, Newsome, Philip, Hübscher, Stefan, Wenn, David, Rosenquist, Christian, Trylesinski, Aldo, Mayo, Rebeca, Alonso, Cristina, Duffin, Kevin, Perfield, James W., Chen, Yu, Yunis, Carla, Tuthill, Theresa, Harrington, Magdalena Alicia, Miller, Melissa, Chen, Yan, Mcleod, Euan Jame, Ross, Trenton, Bernardo, Barbara, Schölch, Corinna, Ertle, Judith, Younes, Ramy, Oldenburger, Anouk, Ostroff, Rachel, Alexander, Leigh, Biegel, Hannah, Skalshøi Kjær, Mette, Mørch Harder, Lea, Davidsen, Peter, Mikkelsen, Lars Frii, Balp, Maria-Magdalena, Brass, Clifford, Jennings, Lori, Martic, Miljen, Löffler, Jürgen, Applegate, Dougla, Shankar, Sudha, Torstenson, Richard, Fournier-Poizat, Céline, Llorca, Anne, Kalutkiewicz, Michael, Pepin, Kay, Ehman, Richard, Horan, Gerald, Ho, Gideon, Tai, Dean, Chng, Elaine, Patterson, Scott D., Billin, Andrew, Doward, Lynda, Twiss, Jame, Thakker, Paresh, Landgren, Henrik, Lackner, Carolin, Gouw, Annette, Hytiroglou, Prodromos, and Luca, Miele (ORCID:0000-0003-3464-0068)
- Abstract
Background and aims: Detecting NASH remains challenging, while at-risk NASH (steatohepatitis and F≥ 2) tends to progress and is of interest for drug development and clinical application. We developed prediction models by supervised machine learning techniques, with clinical data and biomarkers to stage and grade patients with NAFLD. Approach and results: Learning data were collected in the Liver Investigation: Testing Marker Utility in Steatohepatitis metacohort (966 biopsy-proven NAFLD adults), staged and graded according to NASH CRN. Conditions of interest were the clinical trial definition of NASH (NAS ≥ 4;53%), at-risk NASH (NASH with F ≥ 2;35%), significant (F ≥ 2;47%), and advanced fibrosis (F ≥ 3;28%). Thirty-five predictors were included. Missing data were handled by multiple imputations. Data were randomly split into training/validation (75/25) sets. A gradient boosting machine was applied to develop 2 models for each condition: clinical versus extended (clinical and biomarkers). Two variants of the NASH and at-risk NASH models were constructed: direct and composite models.Clinical gradient boosting machine models for steatosis/inflammation/ballooning had AUCs of 0.94/0.79/0.72. There were no improvements when biomarkers were included. The direct NASH model produced AUCs (clinical/extended) of 0.61/0.65. The composite NASH model performed significantly better (0.71) for both variants. The composite at-risk NASH model had an AUC of 0.83 (clinical and extended), an improvement over the direct model. Significant fibrosis models had AUCs (clinical/extended) of 0.76/0.78. The extended advanced fibrosis model (0.86) performed significantly better than the clinical version (0.82). Conclusions: Detection of NASH and at-risk NASH can be improved by constructing independent machine learning models for each component, using only clinical predictors. Adding biomarkers only improved the accuracy of fibrosis.
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- 2023
10. US Backscatter for Liver Fat Quantification: An AIUM-RSNA QIBA Pulse-Echo Quantitative Ultrasound Initiative
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Wear, Keith A., primary, Han, Aiguo, additional, Rubin, Jonathan M., additional, Gao, Jing, additional, Lavarello, Roberto, additional, Cloutier, Guy, additional, Bamber, Jeffrey, additional, and Tuthill, Theresa, additional
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- 2022
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11. Determinants of liver stiffness measurements in patients with NAFLD-an individual patient data meta-analysis
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Mozes, Ferenc, primary, Selvaraj, Emmanuel, additional, Jayaswal, Arjun, additional, Boursier, Jerome, additional, Fournier, Céline, additional, Bugianesi, Elisabetta, additional, Younes, Ramy, additional, Petta, Salvatore, additional, Mahadeva, Sanjiv, additional, Chan, Wah-Kheong, additional, Eddowes, Peter, additional, Newsome, Philip N., additional, Hirschfield, Gideon, additional, Wong, Vincent Wai-Sun, additional, de Lédinghen, Victor, additional, Cobbold, Jeremy, additional, Kim, Won, additional, Lee, Myoung Seok, additional, Cassinotto, Cristophe, additional, Ooi, Geraldine, additional, Nakajima, Atsushi, additional, Yoneda, Masato, additional, Zheng, Ming-Hua, additional, Geier, Andreas, additional, Tuthill, Theresa, additional, Brosnan, M.Juli, additional, Anstee, Quentin, additional, Harrison, Stephen, additional, Bossuyt, Patrick, additional, and Pavlides, Michael, additional
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- 2022
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12. Diagnostic accuracy of non-invasive tests for fibrotic NASH-An individual participant data meta-analysis
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Mozes, Ferenc, primary, Lee, Jenny, additional, Vali, Yasaman, additional, Selvaraj, Emmanuel, additional, Jayaswal, Arjun, additional, Boursier, Jerome, additional, Bugianesi, Elisabetta, additional, Younes, Ramy, additional, Lupsor-Platon, Monica, additional, Petta, Salvatore, additional, Shima, Toshihide, additional, Okanoue, Takeshi, additional, Mahadeva, Sanjiv, additional, Chan, Wah-Kheong, additional, Hirschfield, Gideon, additional, Eddowes, Peter, additional, Newsome, Philip N., additional, Wong, Vincent Wai-Sun, additional, de Lédinghen, Victor, additional, Cobbold, Jeremy, additional, Sumida, Yoshio, additional, Okajima, Akira, additional, Schattenberg, Jörn, additional, Labenz, Christian, additional, Kim, Won, additional, Lee, Myoung Seok, additional, Aithal, Guruprasad, additional, Palaniyappan, Naaventhan, additional, Cassinotto, Cristophe, additional, Aggarwal, Sandeep, additional, Garg, Harshit, additional, Ooi, Geraldine, additional, Nakajima, Atsushi, additional, Yoneda, Masato, additional, Zheng, Ming-Hua, additional, Fournier, Céline, additional, Trauner, Michael, additional, Geier, Andreas, additional, Tuthill, Theresa, additional, Yunis, Carla, additional, Anstee, Quentin, additional, Harrison, Stephen, additional, Bossuyt, Patrick, additional, and Pavlides, Michael, additional
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- 2022
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13. Diagnostic accuracy of non-invasive tests for cirrhotic NASH-an individual participant data meta-analysis
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Mozes, Ferenc, primary, Lee, Jenny, additional, Vali, Yasaman, additional, Selvaraj, Emmanuel, additional, Jayaswal, Arjun, additional, Boursier, Jerome, additional, Bugianesi, Elisabetta, additional, Younes, Ramy, additional, Lupsor-Platon, Monica, additional, Petta, Salvatore, additional, Shima, Toshihide, additional, Okanoue, Takeshi, additional, Mahadeva, Sanjiv, additional, Chan, Wah-Kheong, additional, Hirschfield, Gideon, additional, Eddowes, Peter, additional, Newsome, Philip N., additional, Wong, Vincent Wai-Sun, additional, de Lédinghen, Victor, additional, Cobbold, Jeremy, additional, Sumida, Yoshio, additional, Okajima, Akira, additional, Schattenberg, Jörn, additional, Labenz, Christian, additional, Kim, Won, additional, Lee, Myoung Seok, additional, Aithal, Guruprasad, additional, Palaniyappan, Naaventhan, additional, Cassinotto, Cristophe, additional, Aggarwal, Sandeep, additional, Garg, Harshit, additional, Ooi, Geraldine, additional, Nakajima, Atsushi, additional, Yoneda, Masato, additional, Zheng, Ming-Hua, additional, Fournier, Céline, additional, Geier, Andreas, additional, Tuthill, Theresa, additional, Yunis, Carla, additional, Anstee, Quentin, additional, Harrison, Stephen, additional, Bossuyt, Patrick, additional, and Pavlides, Michael, additional
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- 2022
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14. Diagnostic accuracy of elastography and magnetic resonance imaging in patients with NAFLD: A systematic review and meta-analysis
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Selvaraj, Emmanuel Anandraj, primary, Mózes, Ferenc Emil, additional, Jayaswal, Arjun Narayan Ajmer, additional, Zafarmand, Mohammad Hadi, additional, Vali, Yasaman, additional, Lee, Jenny A., additional, Levick, Christina Kim, additional, Young, Liam Arnold Joseph, additional, Palaniyappan, Naaventhan, additional, Liu, Chang-Hai, additional, Aithal, Guruprasad Padur, additional, Romero-Gómez, Manuel, additional, Brosnan, M. Julia, additional, Tuthill, Theresa A., additional, Anstee, Quentin M., additional, Neubauer, Stefan, additional, Harrison, Stephen A., additional, Bossuyt, Patrick M., additional, Pavlides, Michael, additional, Anstee, Quentin, additional, Daly, Ann, additional, Johnson, Katherine, additional, Govaere, Olivier, additional, Cockell, Simon, additional, Tiniakos, Dina, additional, Bedossa, Pierre, additional, Oakley, Fiona, additional, Cordell, Heather, additional, Day, Chris, additional, Wonders, Kristy, additional, Bossuyt, Patrick, additional, Zafarmand, Hadi, additional, Lee, Jenny, additional, Ratziu, Vlad, additional, Clement, Karine, additional, Pais, Raluca, additional, Schuppan, Detlef, additional, Schattenberg, Jörn, additional, Vidal-Puig, Toni, additional, Vacca, Michele, additional, Rodrigues-Cuenca, Sergio, additional, Allison, Mike, additional, Kamzolas, Ioannis, additional, Petsalaki, Evangelia, additional, Oresic, Matej, additional, Hyötyläinen, Tuulia, additional, McGlinchey, Aiden, additional, Mato, Jose M., additional, Millet, Oscar, additional, Dufour, Jean-François, additional, Berzigotti, Annalisa, additional, Harrison, Stephen, additional, Cobbold, Jeremy, additional, Mozes, Ferenc, additional, Akhtar, Salma, additional, Banerjee, Rajarshi, additional, Kelly, Matt, additional, Shumbayawonda, Elizabeth, additional, Dennis, Andrea, additional, Erpicum, Charlotte, additional, Gómez-González, Emilio, additional, Ampuero, Javier, additional, Castell, Javier, additional, Gallego-Durán, Rocío, additional, Fernández, Isabel, additional, Montero-Vallejo, Rocío, additional, Karsdal, Morten, additional, Erhardtsen, Elisabeth, additional, Rasmussen, Daniel, additional, Leeming, Diana Julie, additional, Fisker, Mette Juul, additional, Sinisi, Antonia, additional, Musa, Kishwar, additional, Betsou, Fay, additional, Sandt, Estelle, additional, Tonini, Manuela, additional, Bugianesi, Elisabetta, additional, Rosso, Chiara, additional, Armandi, Angelo, additional, Marra, Fabio, additional, Gastaldelli, Amalia, additional, Svegliati, Gianluca, additional, Boursier, Jérôme, additional, Francque, Sven, additional, Vonghia, Luisa, additional, Ekstedt, Mattias, additional, Kechagias, Stergios, additional, Yki-Jarvinen, Hannele, additional, Luukkonen, Panu, additional, van Mil, Saskia, additional, Papatheodoridis, George, additional, Cortez-Pinto, Helena, additional, Valenti, Luca, additional, Petta, Salvatore, additional, Miele, Luca, additional, Geier, Andreas, additional, Trautwein, Christian, additional, Aithal, Guru, additional, Hockings, Paul, additional, Newsome, Philip, additional, Wenn, David, additional, Pereira Rodrigues, Cecília Maria, additional, Chaumat, Pierre, additional, Hanf, Rémy, additional, Trylesinski, Aldo, additional, Ortiz, Pablo, additional, Duffin, Kevin, additional, Brosnan, Julia, additional, Tuthill, Theresa, additional, McLeod, Euan, additional, Ertle, Judith, additional, Younes, Ramy, additional, Ostroff, Rachel, additional, Alexander, Leigh, additional, Kjær, Mette Skalshøi, additional, Mikkelsen, Lars Friis, additional, Balp, Maria-Magdalena, additional, Brass, Clifford, additional, Jennings, Lori, additional, Martic, Miljen, additional, Loeffler, Juergen, additional, Hanauer, Guido, additional, Shankar, Sudha, additional, Fournier, Céline, additional, Pepin, Kay, additional, Ehman, Richard, additional, Myers, Joel, additional, Ho, Gideon, additional, Torstenson, Richard, additional, Myers, Rob, additional, and Doward, Lynda, additional
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- 2021
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15. Pharmacokinetics and pharmacodynamics of PF‐05190457: The first oral ghrelin receptor inverse agonist to be profiled in healthy subjects
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Denney, William S., Sonnenberg, Gabriele E., CarvajalGonzalez, Santos, Tuthill, Theresa, and Jackson, V. Margaret
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- 2017
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16. Increased serum miR-193a-5p during non-alcoholic fatty liver disease progression: Diagnostic and mechanistic relevance
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Johnson, Katherine, Leary, Peter J., Govaere, Olivier, Barter, Matthew J., Charlton, Sarah H., Cockell, Simon J., Tiniakos, Dina, Zatorska, Michalina, Bedossa, Pierre, Brosnan, M. Julia, Cobbold, Jeremy F., Ekstedt, Mattias, Aithal, Guruprasad P., Boursier, Jerome, Ratziu, Vlad, Bugianesi, Elisabetta, Anstee, Quentin M., Daly, Ann K., Clark, James, Cockell, Simon, Cordell, Heather J., Darlay, Rebecca, Day, Christopher P., Hardy, Tim, Liu, Yang-Lin, Oakley, Fiona, Palmer, Jeremy, Queen, Rachel, Wonders, Kristy, Bossuyt, Patrick M., Holleboom, Adriaan G., Zafarmand, Hadi, Vali, Yasaman, Lee, Jenny, Clement, Karine, Pais, Raluca, Schuppan, Detlef, Allison, Michael, Cuenca, Sergio Rodriguez, Pellegrinelli, Vanessa, Vacca, Michele, Vidal-Puig, Antonio, McGlinchey, Aidan, Sen, Partho, Mato, Jose, Dufour, Jean-Francois, Harrison, Stephen, Neubauer, Stefan, Pavlides, Michael, Mozes, Ferenc, Akhtar, Salma, Banerjee, Rajarshi, Kelly, Matt, Shumbayawonda, Elizabeth, Dennis, Andrea, Erpicum, Charlotte, Romero-Gomez, Manuel, Karsdal, Morten, Leeming, Diana, Fisker, Mette Juul, Erhardtsen, Elisabeth, Rasmussen, Daniel, Qvist, Per, Sinisi, Antonia, Sandt, Estelle, Tonini, Maria Manuela, Parola, Maurizio, Rosso, Chiara, Marra, Fabio, Gastaldelli, Amalia, Francque, Sven, Kechagias, Stergios, Porthan, Kimmo, van Mil, Saskia, Papatheodoridis, George, Cortez-Pinto, Helena, Valenti, Luca, Petta, Salvatore, Miele, Luca, Geier, Andreas, Trautwein, Christian, Hockings, Paul, Newsome, Phil, Wenn, David, Chaumat, Pierre, Rosenquist, Christian, Trylesinski, Aldo, Ortiz, Pablo, Duffin, Kevin, Yunis, Carla, Miller, Melissa, Tuthill, Theresa, Ertle, Judith, Younes, Ramy, Alexander, Leigh, Ostroff, Rachel, Mikkelsen, Lars Friis, Brass, Clifford, Jennings, Lori, Balp, Maria-Magdalena, Martic, Miljen, Hanauer, Guido, Shankar, Sudha, Torstenson, Richard, Ehman, Richard, Kalutkiewicz, Michael, Pepin, Kay, Myers, Joel, Shevell, Diane, Ho, Gideon, Landgren, Henrik, Myers, Rob, Doward, Lynda, Whalley, Diane, and Twiss, James
- Subjects
Hepatology ,Gastroenterology ,Internal Medicine ,Immunology and Allergy ,digestive system diseases - Abstract
Background & Aims: Serum microRNA (miRNA) levels are known to change in non-alcoholic fatty liver disease (NAFLD) and may serve as useful biomarkers. This study aimed to profile miRNAs comprehensively at all NAFLD stages. Methods: We profiled 2,083 serum miRNAs in a discovery cohort (183 cases with NAFLD representing the complete NAFLD spectrum and 10 population controls). miRNA libraries generated by HTG EdgeSeq were sequenced by Illumina NextSeq. Selected serum miRNAs were profiled in 372 additional cases with NAFLD and 15 population controls by quantitative reverse transcriptase PCR. Results: Levels of 275 miRNAs differed between cases and population controls. Fewer differences were seen within individual NAFLD stages, but miR-193a-5p consistently showed increased levels in all comparisons. Relative to NAFL/non-alcoholic steatohepatitis (NASH) with mild fibrosis (stage 0/1), 3 miRNAs (miR-193a-5p, miR-378d, and miR378d) were increased in cases with NASH and clinically significant fibrosis (stages 2–4), 7 (miR193a-5p, miR-378d, miR-378e, miR-320b, miR-320c, miR-320d, and miR-320e) increased in cases with NAFLD activity score (NAS) 5–8 compared with lower NAS, and 3 (miR-193a-5p, miR-378d, and miR-378e) increased but 1 (miR-19b-3p) decreased in steatosis, activity, and fibrosis (SAF) activity score 2–4 compared with lower SAF activity. The significant findings for miR-193a-5p were replicated in the additional cohort with NAFLD. Studies in Hep G2 cells showed that following palmitic acid treatment, miR-193a-5p expression decreased significantly. Gene targets for miR-193a-5p were investigated in liver RNAseq data for a case subgroup (n = 80); liver GPX8 levels correlated positively with serum miR-193a-5p. Conclusions: Serum miR-193a-5p levels correlate strongly with NAFLD activity grade and fibrosis stage. MiR-193a-5p may have a role in the hepatic response to oxidative stress and is a potential clinically tractable circulating biomarker for progressive NAFLD. Lay summary: MicroRNAs (miRNAs) are small pieces of nucleic acid that may turn expression of genes on or off. These molecules can be detected in the blood circulation, and their levels in blood may change in liver disease including non-alcoholic fatty liver disease (NAFLD). To see if we could detect specific miRNA associated with advanced stages of NAFLD, we carried out miRNA sequencing in a group of 183 patients with NAFLD of varying severity together with 10 population controls. We found that a number of miRNAs showed changes, mainly increases, in serum levels but that 1 particular miRNA miR-193a-5p consistently increased. We confirmed this increase in a second group of cases with NAFLD. Measuring this miRNA in a blood sample may be a useful way to determine whether a patient has advanced NAFLD without an invasive liver biopsy.
- Published
- 2022
17. Novel Ultrasound and DCE-MRI Analyses After Antiangiogenic Treatment With a Selective VEGF Receptor Inhibitor
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Watson, Katherine D., Hu, Xiaowen, Lai, Chun-Yen, Lindfors, Heather A., Hu-Lowe, Dana D., Tuthill, Theresa A., Shalinsky, David R., and Ferrara, Katherine W.
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- 2011
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18. Progression of Emphysema in a 12-month Hyperpolarized 3He-MRI Study : Lacunarity Analysis Provided a More Sensitive Measure than Standard ADC Analysis 1
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Diaz, Sandra, Casselbrant, Ingrid, Piitulainen, Eeva, Magnusson, Peter, Peterson, Barry, Pickering, Evelyn, Tuthill, Theresa, Ekberg, Olle, and Akeson, Per
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- 2009
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19. Diagnostic accuracy of non-invasive tests for advanced fibrosis in patients with NAFLD: an individual patient data meta-analysis
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Lee, Jenny A., Selvaraj, Emmanuel A., Jayaswal, Arjun N.A., Trauner, Michael, Staufer, Katharina, Stauber, Rudolf E., Bugianesi, Elisabet-ta, Younes, Ramy, Gaia, Silvia, Lup?or-Platon, Monica, Petta, Salvatore, Shima, Toshihide, Okanoue, Takeshi, Mahadeva, Sanjiv, Chan, Wah-Kheong, Eddowes, Peter J., Newsome, Philip N., Wai-Sun Wong, Vincent, Fan, Jian-Gao, Shen, Feng, Cobbold, Jeremy F., Sumida, Yoshio, Okajima, Akira, Labenz, Christian, Kim, Won, Lee, Myoung Seok, Wiegand, Johannes, Karlas, Thomas, Yilmaz, Yusuf, Aithal, Guruprasad Padur, Palaniyappan, Naaventhan, Cassinotto, Christophe, Aggarwal, Sandeep, Garg, Harshit, Ooi, Geraldine, Nakajima, Atsushi, Yoneda, Masato, Ziol, Marianne, Barget, Nathalie, Geier, Andreas, Tuthill, Theresa, Brosnan, Julia M., Anstee, Quentin M., Neubauer, Stefan, Harrison, Stephen A., Bossuyt, Patrick M., and Pavlides, Michael
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Gastroenterology - Abstract
Objective: Liver biopsy is still needed for fibrosis staging in many patients with non-alcoholic fatty liver disease. The aims of this study were to evaluate the individual diagnostic performance of liver stiffness measurement by vibration controlled transient elastography (LSM- VCTE), Fibrosis-4 index (FIB-4) and NAFLD Fibrosis Score (NFS) and to derive diagnostic strategies that could reduce the need for liver biopsies.Design: Individual patient data meta-analysis of studies evaluating LSM-VCTE against liver histology was conducted. FIB-4 and NFS were computed where possible. Sensitivity, specificity and area under the receiver operating curve (AUROC) were calculated. Biomarkers were assessed individu-ally and in sequential combinations.Results: Data were included from 37 primary studies (n=5735; 45% female; median age: 54 years; median BMI: 30 kg/m2; 33% had type 2 diabetes; 30% had advanced fibrosis). AUROCs of individual LSM-VCTE, FIB-4 and NFS for advanced fibrosis were 0.85, 0.76 and 0.73. Sequential combination of FIB-4 cut-offs (
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- 2021
20. Editorial for “In Vivo Magnetic Resonance Spectroscopy of Hyperpolarized [1‐13C]Pyruvate in a Guinea Pig Model of Life‐Long Western Diet Consumption and Non‐Alcoholic Fatty Liver Disease Development”
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Tuthill, Theresa A., primary and Ross, Trent T., additional
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- 2021
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21. enDiagnostic accuracy of non-invasive tests for advanced fibrosis in patients with NAFLD: an individual patient data meta-analysis
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Mózes, Ferenc Emil, Lee, Jenny A, Selvaraj, Emmanuel Anandraj, Jayaswal, Arjun Narayan Ajmer, Trauner, Michael, Boursier, Jerome, Fournier, Céline, Staufer, Katharina, Stauber, Rudolf E, Bugianesi, Elisabetta, Younes, Ramy, Gaia, Silvia, Lupșor-Platon, Monica, Petta, Salvatore, Shima, Toshihide, Okanoue, Takeshi, Mahadeva, Sanjiv, Chan, Wah-Kheong, Eddowes, Peter J, Hirschfield, Gideon M, Newsome, Philip Noel, Wong, Vincent Wai-Sun, de Ledinghen, Victor, Fan, Jiangao, Shen, Feng, Cobbold, Jeremy F, Sumida, Yoshio, Okajima, Akira, Schattenberg, Jörn M, Labenz, Christian, Kim, Won, Lee, Myoung Seok, Wiegand, Johannes, Karlas, Thomas, Yılmaz, Yusuf, Aithal, Guruprasad Padur, Palaniyappan, Naaventhan, Cassinotto, Christophe, Aggarwal, Sandeep, Garg, Harshit, Ooi, Geraldine J, Nakajima, Atsushi, Yoneda, Masato, Ziol, Marianne, Barget, Nathalie, Geier, Andreas, Tuthill, Theresa, Brosnan, M Julia, Anstee, Quentin Mark, Neubauer, Stefan, Harrison, Stephen A, Bossuyt, Patrick M, and Pavlides, Michael
- Subjects
610 Medicine & health - Abstract
OBJECTIVE Liver biopsy is still needed for fibrosis staging in many patients with non-alcoholic fatty liver disease. The aims of this study were to evaluate the individual diagnostic performance of liver stiffness measurement by vibration controlled transient elastography (LSM-VCTE), Fibrosis-4 Index (FIB-4) and NAFLD (non-alcoholic fatty liver disease) Fibrosis Score (NFS) and to derive diagnostic strategies that could reduce the need for liver biopsies. DESIGN Individual patient data meta-analysis of studies evaluating LSM-VCTE against liver histology was conducted. FIB-4 and NFS were computed where possible. Sensitivity, specificity and area under the receiver operating curve (AUROC) were calculated. Biomarkers were assessed individually and in sequential combinations. RESULTS Data were included from 37 primary studies (n=5735; 45% women; median age: 54 years; median body mass index: 30 kg/m2; 33% had type 2 diabetes; 30% had advanced fibrosis). AUROCs of individual LSM-VCTE, FIB-4 and NFS for advanced fibrosis were 0.85, 0.76 and 0.73. Sequential combination of FIB-4 cut-offs (
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- 2021
22. Diagnostic accuracy of elastography and magnetic resonance imaging in patients with NAFLD : a systematic review and meta-analysis
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Selvaraj, Emmanuel Anandraj, Mózes, Ferenc Emil, Ajmer Jayaswal, Arjun Narayan, Zafarmand, Mohammad Hadi, Vali, Yasaman, Lee, Jenny A., Levick, Christina Kim, Joseph Young, Liam Arnold, Palaniyappan, Naaventhan, Liu, Chang-Hai, Aithal, Guruprasad Padur, Romero-Gómez, Manuel, Brosnan, M. Julia, Tuthill, Theresa A., Anstee, Quentin M., Neubauer, Stefan, Harrison, Stephen A., Bossuyt, Patrick M., Pavlides, Michael, Selvaraj, Emmanuel Anandraj, Mózes, Ferenc Emil, Ajmer Jayaswal, Arjun Narayan, Zafarmand, Mohammad Hadi, Vali, Yasaman, Lee, Jenny A., Levick, Christina Kim, Joseph Young, Liam Arnold, Palaniyappan, Naaventhan, Liu, Chang-Hai, Aithal, Guruprasad Padur, Romero-Gómez, Manuel, Brosnan, M. Julia, Tuthill, Theresa A., Anstee, Quentin M., Neubauer, Stefan, Harrison, Stephen A., Bossuyt, Patrick M., and Pavlides, Michael
- Abstract
BACKGROUND AND AIMS: Vibration-controlled transient elastography (VCTE), point shear wave elastography (pSWE), two-dimensional shear wave elastography (2DSWE), magnetic resonance elastography (MRE), and magnetic resonance imaging (MRI) are proposed as non-invasive tests for patients with non-alcoholic fatty liver disease (NAFLD). This study evaluated their diagnostic accuracy for liver fibrosis and non-alcoholic steatohepatitis (NASH). METHODS: PubMED/MEDLINE, EMBASE and the Cochrane Library were searched for studies examining the diagnostic accuracy of these index tests against histology as the reference standard, in adult patients with NAFLD. Two authors independently screened and assessed methodological quality of studies and extracted data. Summary estimates of sensitivity, specificity and area under the curve (sAUC) were calculated for fibrosis stages and NASH, using a random effects bivariate logit-normal model. RESULTS: We included 82 studies (14,609 patients). Meta-analysis for diagnosing fibrosis stages was possible in 53 VCTE, 11 MRE, 12 pSWE and four 2DSWE studies, and for diagnosing NASH in four MRE studies. sAUC for diagnosis of significant fibrosis were: 0.83 for VCTE, 0.91 for MRE, 0.86 for pSWE and 0.75 for 2DSWE. sAUC for diagnosis of advanced fibrosis were: 0.85 for VCTE, 0.92 for MRE, 0.89 for pSWE and 0.72 for 2DSWE. sAUC for diagnosis of cirrhosis were: 0.89 for VCTE, 0.90 for MRE, 0.90 for pSWE and 0.88 for 2DSWE. MRE had sAUC of 0.83 for diagnosis of NASH. Three (4%) studies reported intention-to-diagnose analyses and 15 (18%) studies reported diagnostic accuracy against pre-specified cut-offs. CONCLUSIONS: When elastography index tests are acquired successfully, they have acceptable diagnostic accuracy for advanced fibrosis and cirrhosis. The potential clinical impact of these index tests cannot be assessed fully as intention-to-diagnose analyses and validation of pre-specified thresholds are lacking. LAY SUMMARY: Non-invasive tests that meas, ReviewFunding agencies:Innovative Medicines Initiative 2 Joint Undertaking 777377Europen Federation of Pharmaceutical Industries and Associations (efpia.eu)
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- 2021
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23. Diagnostic accuracy of elastography and magnetic resonance imaging in patients with NAFLD: A systematic review and meta-analysis
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Innovative Medicines Initiative, European Commission, European Federation of Pharmaceutical Industries and Associations, Selvaraj, Emmanuel Anandraj, Mózes, Ferenc Emil, Jayaswal, Arjun Narayan Ajmer, Zafarmand, Mohammad Hadi, Vali, Yasaman, Lee, Jenny A., Levick, Christina Kim, Young, Liam Arnold Joseph, Palaniyappan, Naaventhan, Liu, Chang-Hai, Aithal, Guruprasad P., Romero-Gómez, Manuel, Brosnan, M. Julia, Tuthill, Theresa A., Anstee, Quentin M., Neubauer, Stefan, Harrison, Stephen A., Bossuyt, Patrick M., Pavlides, Michael, Innovative Medicines Initiative, European Commission, European Federation of Pharmaceutical Industries and Associations, Selvaraj, Emmanuel Anandraj, Mózes, Ferenc Emil, Jayaswal, Arjun Narayan Ajmer, Zafarmand, Mohammad Hadi, Vali, Yasaman, Lee, Jenny A., Levick, Christina Kim, Young, Liam Arnold Joseph, Palaniyappan, Naaventhan, Liu, Chang-Hai, Aithal, Guruprasad P., Romero-Gómez, Manuel, Brosnan, M. Julia, Tuthill, Theresa A., Anstee, Quentin M., Neubauer, Stefan, Harrison, Stephen A., Bossuyt, Patrick M., and Pavlides, Michael
- Abstract
[Background and Aims] Vibration-controlled transient elastography (VCTE), point shear wave elastography (pSWE), 2-dimensional shear wave elastography (2DSWE), magnetic resonance elastography (MRE), and magnetic resonance imaging (MRI) have been proposed as non-invasive tests for patients with non-alcoholic fatty liver disease (NAFLD). This study evaluated their diagnostic accuracy for liver fibrosis and non-alcoholic steatohepatitis (NASH)., [Methods] PubMED/MEDLINE, EMBASE and the Cochrane Library were searched for studies examining the diagnostic accuracy of these index tests, against histology as the reference standard, in adult patients with NAFLD. Two authors independently screened and assessed methodological quality of studies and extracted data. Summary estimates of sensitivity, specificity and area under the curve (sAUC) were calculated for fibrosis stages and NASH, using a random effects bivariate logit-normal model., [Results] We included 82 studies (14,609 patients). Meta-analysis for diagnosing fibrosis stages was possible in 53 VCTE, 11 MRE, 12 pSWE and 4 2DSWE studies, and for diagnosing NASH in 4 MRE studies. sAUC for diagnosis of significant fibrosis were: 0.83 for VCTE, 0.91 for MRE, 0.86 for pSWE and 0.75 for 2DSWE. sAUC for diagnosis of advanced fibrosis were: 0.85 for VCTE, 0.92 for MRE, 0.89 for pSWE and 0.72 for 2DSWE. sAUC for diagnosis of cirrhosis were: 0.89 for VCTE, 0.90 for MRE, 0.90 for pSWE and 0.88 for 2DSWE. MRE had sAUC of 0.83 for diagnosis of NASH. Three (4%) studies reported intention-to-diagnose analyses and 15 (18%) studies reported diagnostic accuracy against pre-specified cut-offs., [Conclusions] When elastography index tests are acquired successfully, they have acceptable diagnostic accuracy for advanced fibrosis and cirrhosis. The potential clinical impact of these index tests cannot be assessed fully as intention-to-diagnose analyses and validation of pre-specified thresholds are lacking., [Lay summary] Non-invasive tests that measure liver stiffness or use magnetic resonance imaging (MRI) have been suggested as alternatives to liver biopsy for assessing the severity of liver scarring (fibrosis) and fatty inflammation (steatohepatitis) in patients with non-alcoholic fatty liver disease (NAFLD). In this study, we summarise the results of previously published studies on how accurately these non-invasive tests can diagnose liver fibrosis and inflammation, using liver biopsy as the reference. We found that some techniques that measure liver stiffness had a good performance for the diagnosis of severe liver scarring.
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- 2021
24. Diagnostic accuracy of non-invasive tests for advanced fibrosis in patients with NAFLD: an individual patient data meta-analysis
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Mózes, Ferenc Emil, primary, Lee, Jenny A, additional, Selvaraj, Emmanuel Anandraj, additional, Jayaswal, Arjun Narayan Ajmer, additional, Trauner, Michael, additional, Boursier, Jerome, additional, Fournier, Céline, additional, Staufer, Katharina, additional, Stauber, Rudolf E, additional, Bugianesi, Elisabetta, additional, Younes, Ramy, additional, Gaia, Silvia, additional, Lupșor-Platon, Monica, additional, Petta, Salvatore, additional, Shima, Toshihide, additional, Okanoue, Takeshi, additional, Mahadeva, Sanjiv, additional, Chan, Wah-Kheong, additional, Eddowes, Peter J, additional, Hirschfield, Gideon M, additional, Newsome, Philip Noel, additional, Wong, Vincent Wai-Sun, additional, de Ledinghen, Victor, additional, Fan, Jiangao, additional, Shen, Feng, additional, Cobbold, Jeremy F, additional, Sumida, Yoshio, additional, Okajima, Akira, additional, Schattenberg, Jörn M, additional, Labenz, Christian, additional, Kim, Won, additional, Lee, Myoung Seok, additional, Wiegand, Johannes, additional, Karlas, Thomas, additional, Yılmaz, Yusuf, additional, Aithal, Guruprasad Padur, additional, Palaniyappan, Naaventhan, additional, Cassinotto, Christophe, additional, Aggarwal, Sandeep, additional, Garg, Harshit, additional, Ooi, Geraldine J, additional, Nakajima, Atsushi, additional, Yoneda, Masato, additional, Ziol, Marianne, additional, Barget, Nathalie, additional, Geier, Andreas, additional, Tuthill, Theresa, additional, Brosnan, M. Julia, additional, Anstee, Quentin Mark, additional, Neubauer, Stefan, additional, Harrison, Stephen A., additional, Bossuyt, Patrick M, additional, and Pavlides, Michael, additional
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- 2021
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25. Pixel Compounding: Resolution-Enhanced Ultrasound Imaging for Quantitative Analysis
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Yang, Zhi, Tuthill, Theresa A., Raunig, David L., Fox, Martin D., and Analoui, Mostafa
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- 2007
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26. Use of Ultrasound to Assess Drug Efficacy in Orthotopic Rat Models of HCC
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M., Cedo, primary, Swanson, Terri, additional, and Tuthill, Theresa, additional
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- 2011
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27. Support vector machine (SVM) based liver classification: fibrosis, steatosis, and inflammation
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Baek, Jihye, primary, Swanson, Terri A., additional, Tuthill, Theresa, additional, and Parker, Kevin J., additional
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- 2020
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28. Diagnostic accuracy of non-invasive tests for advanced fibrosis in patients with NAFLD: an individual patient data meta-analysis
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Mózes, Ferenc Emil, Lee, Jenny A, Selvaraj, Emmanuel Anandraj, Jayaswal, Arjun Narayan Ajmer, Trauner, Michael, Boursier, Jerome, Fournier, Céline, Staufer, Katharina, Stauber, Rudolf E, Bugianesi, Elisabetta, Younes, Ramy, Gaia, Silvia, Lupsor-Platon, Monica, Petta, Salvatore, Shima, Toshihide, Okanoue, Takeshi, Mahadeva, Sanjiv, Chan, Wah-Kheong, Eddowes, Peter J, Hirschfield, Gideon M, Newsome, Philip Noel, Wong, Vincent Wai-Sun, de Ledinghen, Victor, Fan, Jiangao, Shen, Feng, Cobbold, Jeremy F, Sumida, Yoshio, Okajima, Akira, Schattenberg, Jo¨rn M, Labenz, Christian, Kim, Won, Lee, Myoung Seok, Wiegand, Johannes, Karlas, Thomas, Yılmaz, Yusuf, Aithal, Guruprasad Padur, Palaniyappan, Naaventhan, Cassinotto, Christophe, Aggarwal, Sandeep, Garg, Harshit, Ooi, Geraldine J, Nakajima, Atsushi, Yoneda, Masato, Ziol, Marianne, Barget, Nathalie, Geier, Andreas, Tuthill, Theresa, Brosnan, M. Julia, Anstee, Quentin Mark, Neubauer, Stefan, Harrison, Stephen A., Bossuyt, Patrick M, and Pavlides, Michael
- Abstract
ObjectiveLiver biopsy is still needed for fibrosis staging in many patients with non-alcoholic fatty liver disease. The aims of this study were to evaluate the individual diagnostic performance of liver stiffness measurement by vibration controlled transient elastography (LSM-VCTE), Fibrosis-4 Index (FIB-4) and NAFLD (non-alcoholic fatty liver disease) Fibrosis Score (NFS) and to derive diagnostic strategies that could reduce the need for liver biopsies.DesignIndividual patient data meta-analysis of studies evaluating LSM-VCTE against liver histology was conducted. FIB-4 and NFS were computed where possible. Sensitivity, specificity and area under the receiver operating curve (AUROC) were calculated. Biomarkers were assessed individually and in sequential combinations.ResultsData were included from 37 primary studies (n=5735; 45% women; median age: 54 years; median body mass index: 30 kg/m2; 33% had type 2 diabetes; 30% had advanced fibrosis). AUROCs of individual LSM-VCTE, FIB-4 and NFS for advanced fibrosis were 0.85, 0.76 and 0.73. Sequential combination of FIB-4 cut-offs (<1.3; ≥2.67) followed by LSM-VCTE cut-offs (<8.0; ≥10.0 kPa) to rule-in or rule-out advanced fibrosis had sensitivity and specificity (95% CI) of 66% (63–68) and 86% (84–87) with 33% needing a biopsy to establish a final diagnosis. FIB-4 cut-offs (<1.3; ≥3.48) followed by LSM cut-offs (<8.0; ≥20.0 kPa) to rule out advanced fibrosis or rule in cirrhosis had a sensitivity of 38% (37–39) and specificity of 90% (89–91) with 19% needing biopsy.ConclusionSequential combinations of markers with a lower cut-off to rule-out advanced fibrosis and a higher cut-off to rule-in cirrhosis can reduce the need for liver biopsies.
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- 2022
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29. Body Composition Profiling in the UK Biobank Imaging Study
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Linge, Jennifer, Borga, Magnus, West, Janne, Tuthill, Theresa, Miller, Melissa R., Dumitriu, Alexandra, Thomas, E. Louise, Romu, Thobias, Tunon, Patrik, Bell, Jimmy D., Dahlqvist Leinhard, Olof, Linge, Jennifer, Borga, Magnus, West, Janne, Tuthill, Theresa, Miller, Melissa R., Dumitriu, Alexandra, Thomas, E. Louise, Romu, Thobias, Tunon, Patrik, Bell, Jimmy D., and Dahlqvist Leinhard, Olof
- Abstract
ObjectiveMethodsThis study aimed to investigate the value of imaging-based multivariable body composition profiling by describing its association with coronary heart disease (CHD), type 2 diabetes (T2D), and metabolic health on individual and population levels. The first 6,021 participants scanned by UK Biobank were included. Body composition profiles (BCPs) were calculated, including abdominal subcutaneous adipose tissue, visceral adipose tissue (VAT), thigh muscle volume, liver fat, and muscle fat infiltration (MFI), determined using magnetic resonance imaging. Associations between BCP and metabolic status were investigated using matching procedures and multivariable statistical modeling. ResultsConclusionsMatched control analysis showed that higher VAT and MFI were associated with CHD and T2D (Pamp;lt;0.001). Higher liver fat was associated with T2D (Pamp;lt;0.001) and lower liver fat with CHD (Pamp;lt;0.05), matching on VAT. Multivariable modeling showed that lower VAT and MFI were associated with metabolic health (Pamp;lt;0.001), and liver fat was nonsignificant. Associations remained significant adjusting for sex, age, BMI, alcohol, smoking, and physical activity. Body composition profiling enabled an intuitive visualization of body composition and showed the complexity of associations between fat distribution and metabolic status, stressing the importance of a multivariable approach. Different diseases were linked to different BCPs, which could not be described by a single fat compartment alone., Funding Agencies|Pfizer Inc.
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- 2018
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30. Volume flow measurement using doppler and grey-scale decorrelation
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Rubin, Jonathan M., Tuthill, Theresa A., and Fowlkes, J.Brian
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- 2001
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31. Body Composition Profiling in the UK Biobank Imaging Study
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Linge, Jennifer, primary, Borga, Magnus, additional, West, Janne, additional, Tuthill, Theresa, additional, Miller, Melissa R., additional, Dumitriu, Alexandra, additional, Thomas, E. Louise, additional, Romu, Thobias, additional, Tunón, Patrik, additional, Bell, Jimmy D., additional, and Dahlqvist Leinhard, Olof, additional
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- 2018
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32. Frequency analysis of echo texture in tendon
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Tuthill, Theresa A., Rubin, Jonathan M., Fowlkes, J.Brian, Jamadar, David A., and Bude, Ronald O.
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- 1999
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33. Pharmacokinetics and pharmacodynamics of PF‐05190457: The first oral ghrelin receptor inverse agonist to be profiled in healthy subjects
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Denney, William S., Sonnenberg, Gabriele E., Carvajal‐Gonzalez, Santos, Tuthill, Theresa, and Jackson, V. Margaret
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Adult ,Male ,Dose-Response Relationship, Drug ,Drug Inverse Agonism ,Administration, Oral ,Middle Aged ,Double-Blind Method ,Heart Rate ,Azetidines ,Humans ,Clinical Trials ,Spiro Compounds ,Receptors, Ghrelin ,Half-Life - Abstract
To evaluate safety, tolerability and pharmacokinetics of oral PF-05190457, an oral ghrelin receptor inverse agonist, in healthy adults.Single (SAD) and multiple ascending dose (MAD) studies were randomised, placebo-controlled, double-blind studies. Thirty-five healthy men (age 38.2 ± 10.4 years; body mass index 24.8 ± 3.1 kg mPF-05190457 absorption was rapid with a TPF-05190457 is a well-tolerated first-in-class ghrelin receptor inverse agonist with acceptable pharmacokinetics for oral daily dosing. Blocking ghrelin receptors inhibits ghrelin-induced GH, and increases heart rate, effects that underwent tachyphylaxis with chronic dosing. PF-051940457 has the potential to treat centrally-acting disorders such as insomnia.
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- 2016
34. Neural Network Technology for the Rapid Identification of Corrosion Damage in Aging Aircraft.
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Hartke, Paul M., primary, Gustafson, Steven C., primary, Tuthill, Theresa A., primary, and Chu, Shing P., primary
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- 1997
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35. Pharmacokinetics and pharmacodynamics of PF-05190457: The first oral ghrelin receptor inverse agonist to be profiled in healthy subjects
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Denney, William S., primary, Sonnenberg, Gabriele E., additional, Carvajal-Gonzalez, Santos, additional, Tuthill, Theresa, additional, and Jackson, V. Margaret, additional
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- 2016
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36. Abstract TP368: Prediction of Hemorrhagic Growth Using Textural Pattern Analysis
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Gray, Katherine, primary, Wolz, Robin, additional, Royle, Natalie, additional, Werring, David, additional, Xie, Zhiyong, additional, and Tuthill, Theresa, additional
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- 2016
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37. 2088079 Quantitative Assessment Of RF Ultrasound Signals To Monitor Myocardial Fibrosis
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Swanson, Terri, primary, Salatto, Christopher, additional, Maciejewski, Benjamin, additional, Opsahl, Alan, additional, and Tuthill, Theresa, additional
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- 2015
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38. Use of Ultrasound to Assess Drug Efficacy in Orthotopic Rat Models of HCC
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Bagi, Cedo M., Swanson, Terri, Tuthill, Theresa, Bagi, Cedo M., Swanson, Terri, and Tuthill, Theresa
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- 2011
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39. Progression of emphysema in a 12-month hyperpolarized 3He-MRI study: lacunarity analysis provided a more sensitive measure than standard ADC analysis
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Diaz, Sandra, Casselbrant, Ingrid, Piitulainen, Eeva, Magnusson, Peter, Peterson, Barry, Pickering, Evelyn, Tuthill, Theresa, Ekberg, Olle, Akeson, Per, Diaz, Sandra, Casselbrant, Ingrid, Piitulainen, Eeva, Magnusson, Peter, Peterson, Barry, Pickering, Evelyn, Tuthill, Theresa, Ekberg, Olle, and Akeson, Per
- Abstract
Udgivelsesdato: 2009-Jun, RATIONALE AND OBJECTIVES: Inhaled hyperpolarized (3)He magnetic resonance (MR) imaging has been used to measure alveolar size in patients with emphysema. The aim of this study was to test the hypothesis that (3)He MR images could be used to develop a biomarker of emphysema progression. MATERIALS AND METHODS: Twelve healthy controls and 18 patients with emphysema (eight current smokers, 10 ex-smokers) were imaged at baseline and 6 and 12 months. An additional nine subjects with alpha-1 antitrypsin deficiency (four with emphysema, six without symptoms) were also imaged at baseline and at 6 months. Each subject was imaged at two lung volumes: functional residual capacity (FRC) and FRC plus 15% of total lung capacity. Means and standard deviations of apparent diffusion coefficients (ADCs) were calculated from coronal images of the entire lung and correlated with pulmonary function test results. The lacunarity hypothesis was tested and calculated from the data using a range of 2 x 2 x 2 to 6 x 6 x 6 voxels, and the average was calculated. RESULTS: There was no change in the mean ADC at either lung volume in any subject over the 6- or 12-month period. FRC and residual volume increased over the 12 months, suggesting air trapping. The lacunarity of images collected at FRC increased at 6 and 12 months in smokers only (P = .063 and P = .023, respectively). CONCLUSIONS: The mean ADC calculated from MR images of the lungs with helium was not sufficiently sensitive to detect changes over a 12-month period. However, lacunarity captured more of the spatial information in the images and detected emphysema progress in the smokers.
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- 2009
40. Abstract 5236: Intermittent anti-angiogenic therapy with sunitinib in a murine xenograft model monitored by dynamic contrast enhanced ultra high frequency sonography
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Hunnam, Titaina C. Potdevin, primary, Tuthill, Theresa A., additional, Dorow, Donna S., additional, Cullinane, Carleen, additional, McCarthy, Timothy J., additional, and Hicks, Rodney J., additional
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- 2010
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41. Sunitinib and PF-562,271 (FAK/Pyk2 inhibitor) effectively block growth and recovery of human hepatocellular carcinoma in a rat xenograft model
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Bagi, Cedo M, primary, Christensen, James, additional, Cohen, Darrel P, additional, Roberts, Walter G, additional, Wilkie, Dean, additional, Swanson, Terri, additional, Tuthill, Theresa, additional, and Andresen, Catharine J, additional
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- 2009
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42. Editorial for "In Vivo Magnetic Resonance Spectroscopy of Hyperpolarized [1‐13C]Pyruvate in a Guinea Pig Model of Life‐Long Western Diet Consumption and Non‐Alcoholic Fatty Liver Disease Development".
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Tuthill, Theresa A. and Ross, Trent T.
- Abstract
Editorial for "In Vivo Magnetic Resonance Spectroscopy of Hyperpolarized [1-
13 C]Pyruvate in a Guinea Pig Model of Life-Long Western Diet Consumption and Non-Alcoholic Fatty Liver Disease Development" Nonalcoholic fatty liver disease (NAFLD) covers a histological spectrum,1 ranging from excess fat deposits to hepatic inflammation and to eventual scarring or cirrhosis. In this issue, Smith et al4 applied MR spectroscopy (MRS) of hyperpolarized SP 13 sp C pyruvate in a "lean NAFLD" guinea pig model to monitor enzyme activity. [Extracted from the article]- Published
- 2021
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43. Accurate ultrasound of carotid intima-media layer by pixel compounding
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Yang, Zhi, primary, Raunig, David, additional, Tuthill, Theresa, additional, Fox, Martin D., additional, and Analoui, Mostafa, additional
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- 2005
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44. Twinkling Artifact on Color Doppler Sonography: Dependence on Machine Parameters and Underlying Cause
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Kamaya, Aya, primary, Tuthill, Theresa, additional, and M. Rubin, Jonathan, additional
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- 2003
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45. Communication Applications for Deformable Mirror Devices.
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DAYTON UNIV OH RESEARCH INST, Gustafson, Steven C., Little, Gordon R., Rhoadarmer, Troy A., Tuthill, Theresa A., DAYTON UNIV OH RESEARCH INST, Gustafson, Steven C., Little, Gordon R., Rhoadarmer, Troy A., and Tuthill, Theresa A.
- Abstract
This report reviews a technical effort that accomplished computer simulations and experimental demonstrations of piston-type micromirror arrays for laser beam steering, shaping, and aberration correction. especially simulations and demonstrations with possible relevance for communication applications. The effort successfully investigated the use of micromirror arrays for laser beam manipulations and illustrated both their potential advantages in terms of small size, high ruggedness and low cost and their potential limitations in terms of small beam steering range and, in particular low optical efficiency due to inactive inter-micromirror space, lack of tilt control, and diffraction into undesired orders. The report concludes that micromirror arrays could be useful in applications where high optical efficiency is not a priority; otherwise continuous mirrors with micromechanical actuation are likely to provide the best fine beam steering and beam shaping or aberration correction performance while retaining the potential advantages of small size, high ruggedness. and low cost.
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- 1997
46. Neural Network Technology for the Rapid Identification of Corrosion Damage in Aging Aircraft.
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DAYTON UNIV OH RESEARCH INST, Hartke, Paul M., Gustafson, Steven C., Tuthill, Theresa A., Chu, Shing P., DAYTON UNIV OH RESEARCH INST, Hartke, Paul M., Gustafson, Steven C., Tuthill, Theresa A., and Chu, Shing P.
- Abstract
Corrosion damage in aging aircraft is an increasingly critical concern for the U. S. Air Force. Effective, but inexpensive, techniques are needed to identify and evaluate corrosion damage to aircraft structures. The extent of material loss due to corrosion can be reliably measured from x-ray data, but x-ray measurements are costly, slow, and usually require significant aircraft disassembly. Corrosion by-products, which typically occupy more volume than uncorroded material, often causes slight aircraft surface deformations, or 'pillowing.' Pillowing can be measured with various inexpensive, rapid, and nondestructive optical imaging techniques. However, the relationship between percent material loss and 'pillowing' surface deformation is complex, and conventional methods for quantifying the relationship typically lead to unacceptably low correct-detection rates or unacceptably high false-alarm rates. Neural net technology offers a potentially more accurate approach for establishing this relationship. This paper describes the results of a study applying neural net technology to evaluate the percent of material loss and pillowing surface deformation measured with optical imaging techniques.
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- 1997
47. Three-dimensional flow vectors from rf ultrasound signals
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Tuthill, Theresa A., primary, Rubin, Jonathan M., additional, and Fowlkes, J. B., additional
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- 2002
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48. Accurate ultrasound of carotid intima-media layer by pixel compounding.
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Yang, Zhi, Raunig, David, Tuthill, Theresa, Fox, Martin D., and Analoui, Mostafa
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- 2005
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49. US Artifacts: Effects on Out-of-Plane US Images Reconstructed from Three-dimensional Data Sets
- Author
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Bailey, Janet E., primary, Bude, Ronald O., additional, and Tuthill, Theresa, additional
- Published
- 2001
- Full Text
- View/download PDF
50. Volume flow measurement using Doppler RF decorrelation
- Author
-
Tuthill, Theresa A., primary, Fowlkes, J. Brian, additional, Rubin, Jonathan M., additional, and Hall, Anne L., additional
- Published
- 2000
- Full Text
- View/download PDF
Catalog
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