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1. Spatial analysis reveals targetable macrophage-mediated mechanisms of immune evasion in hepatocellular carcinoma minimal residual disease

Author

Lemaitre, Lea, Adeniji, Nia, Suresh, Akanksha, Reguram, Reshma, Zhang, Josephine, Park, Jangho, Reddy, Amit, Trevino, Alexandro E., Mayer, Aaron T., Deutzmann, Anja, Hansen, Aida S., Tong, Ling, Arjunan, Vinodhini, Kambham, Neeraja, Visser, Brendan C., Dua, Monica M., Bonham, C. Andrew, Kothary, Nishita, D’Angio, H. Blaize, Preska, Ryan, Rosen, Yanay, Zou, James, Charu, Vivek, Felsher, Dean W., and Dhanasekaran, Renumathy

Published
2024
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2. Single-Shot Quantitative X-ray Imaging Using a Primary Modulator and Dual-Layer Detector

Author

Shi, Linxi, Bennett, N. Robert, Vezeridis, Alexander, Kothary, Nishita, and Wang, Adam

Subjects
Physics - Medical Physics
Abstract

Purpose: Conventional x-ray imaging and fluoroscopy have limitations in quantitation due to several challenges, including scatter, beam hardening, and overlapping tissues. In this work, we propose single-shot quantitative imaging (SSQI) by combining the use of a primary modulator (PM) and dual-layer (DL) detector, which enables motion-free dual-energy (DE) imaging with scatter correction in a single shot. Methods: The SSQI algorithm allows simultaneous recovery of two material-specific images and two scatter images using four sub-measurements from the PM encoding. For validation, we set up SSQI on our tabletop system and imaged acrylic and copper slabs with known thicknesses, estimated scatter with our SSQI algorithm, and compared the material decomposition (MD) for different combinations of the two materials with ground truth. Second, we imaged an anthropomorphic chest phantom containing contrast in the coronary arteries and compared the MD with and without SSQI. Lastly, to evaluate SSQI in dynamic applications, we constructed a flow phantom that enabled dynamic imaging of iodine contrast. Results: The root mean squared error (RMSE) of SSQI estimation was 0.13 cm for acrylic and 0.04 mm for copper. For the anthropomorphic phantom, direct MD resulted in incorrect interpretation of contrast and soft tissue, while SSQI successfully distinguished them and reduced RMSE in material-specific images by 38% to 92%. For the flow phantom, SSQI was able to perform accurate dynamic quantitative imaging, separating contrast from the background. Conclusions: We demonstrated the potential of SSQI for robust quantitative x-ray imaging. The simplicity of SSQI may enable its widespread adoption, including radiography and dynamic imaging such as real-time image guidance and cone-beam CT.

Published
2022

11. Quality of life after pharmacomechanical catheter-directed thrombolysis for proximal deep venous thrombosis

Author

Sichlau, Michael, Vlahos, Athanasios, Smith, Steven, Thalheimer, Quinn, Singh, Nisha, Harting, Rekha, Gocke, John, Guth, Scott, Shah, Neel, Brady, Paul, Schatz, Marvin, Horrow, Mindy, Markazi, Peyman, Forouzan, Leli, Matalon, Terence A.S., Hertzog, David, Goday, Swapna, Kennedy, Margaret, Kaplan, Robert, Campbell, Thomas, Hartman, Jamie, Nahum, Elmer, Venkat, Arvind, Krishnamurthy, Venkataramu, Rectenwald, John, Henke, Peter, Eliason, Jonathan, Willatt, Jonathon, Escobar, Guillermo, Samuels, Shaun, Katzen, Barry, Benenati, James, Powell, Alex, Pena, Constantino, Wallach, Howard, Gandhi, Ripal, Schneider, Joseph, Kim, Stanley, Hashemi, Farrah, Boyle, Joseph, Patel, Nilesh, Verta, Michael, Leung, Daniel, Garcia, Marc, Blatt, Phillip, Khatri, Jamil, Epstein, Dave, Ryan, Randall, Sweeny, Tom, Stillabower, Michael, Kimbiris, George, Raman, Tuhina, Sierzenski, Paul, Getto, Lelia, Dignazio, Michael, Horvath, Mark, Gornik, Heather, Bartholomew, John, Shishehbor, Mehdi, Peacock, Frank, Joseph, Douglas, Kim, Soo Hyum, Mahlay, Natalia Fendrikova, Clair, Daniel, Lyden, Sean, Kapoor, Baljendra, McLennon, Gordon, Pierce, Gregory, Newman, James, Spain, James, Gill, Amanjiit, Hamilton, Aaron, Rizzo, Anthony, Park, Woosup, Dietzek, Alan, Galin, Ira, Plummer, Dahlia, Hsu, Richard, Broderick, Patrick, Keller, Andrew, Sayeed, Sameer, Slater, Dennis, Lustberg, Herb, Akus, Jan, Sidman, Robert, Dhami, Mandeep, Kohanski, Phillip, Bulgaru, Anca, Dulala, Renuka, Burch, James, Kapur, Dinesh, Yang, Jie, Ranson, Mark, Wladis, Alan, Varnagy, David, Mekhail, Tarek, Winter, Robert, Perez-Izquierdo, Manuel, Motew, Stephen, Royd-Kranis, Robin, Workman, Raymond, Kribbs, Scott, Hogsette, Gerald, Moore, Phillip, Thomason, Bradley, Means, William, Bonsall, Richard, Stewart, John, Golwya, Daniel, Azene, Ezana, Bottner, Wayne, Bishop, William, Clayton, Dave, Gundersen, Lincoln, Riherd, Jody, Shakhnovich, Irina, Ziegelbein, Kurt, Chang, Thomas, Sharma, Karun, Allison, Sandra, Banovac, Fil, Cohen, Emil, Furlong, Brendan, Kessler, Craig, McCullough, Mike, Spies, Jim, Lin, Judith, Kaatz, Scott, Getzen, Todd, Miller, Joseph, Schwartz, Scott, Kabbani, Loay, McVinnie, David, Rundback, John, Manno, Joseph, Schwab, Richard, Cole, Randolph, Herman, Kevin, Singh, David, Barkama, Ravit, Patel, Amish, Comerota, Anthony, Pigott, John, Seiwert, Andrew, Whalen, Ralph, Russell, Todd, Assi, Zakaria, Kazanjian, Sahira, Yobbagy, Jonathan, Kaminski, Brian, Kaufman, Allan, Begeman, Garett, DiSalle, Robert, Thakur, Subash, Kim, Paul, Jacquet, Marc, Dykes, Thomas, Gerding, Joseph, Baker, Christopher, Debiasto, Mark, Mittleider, Derek, Higgins, George, III, Amberson, Steven, Pezzuti, Roger, Gallagher, Thomas, Schainfeld, Robert, Wicky, Stephan, Kalva, Sanjeeva, Walker, Gregory, Salazar, Gloria, Pomerantz, Benjamin, Patel, Virenda, Kabrhel, Christopher, Iqbal, Shams, Gangull, Suvranu, Oklu, Rahmi, Brannan, Scott, Misra, Sanjay, Bjarnason, Haraldur, Ashrani, Aneel, Caccavale, Michael, Fleming, Chad, Friese, Jeremy, Heit, John, Kalra, Manju, Macedo, Thanila, McBane, Robert, McKusick, Michael, Stockland, Andrew, Woodrum, David, Wysokinski, Waldemar, Verma, Adarsh, Davis, Andrew, Chung, Jerry, Nicker, David, Anderson, Brian, Stein, Robert, Weiss, Michael, Patel, Parag, Rilling, William, Tutton, Sean, Hieb, Robert, Hohenwalter, Eric, Colella, M. Riccardo, Gosset, James, White, Sarah, Lewis, Brian, Brown, Kellie, Rossi, Peter, Seabrook, Gary, Guimaraes, Marcelo, Selby, J. Bayne, McGary, William, Hannegan, Christopher, Robison, Jacob, Brothers, Thomas, Elliott, Bruce, Garg, Nitin, Anderson, M. Bret, Uflacker, Renan, Schonholz, Claudio, Raney, Laurence, Greenberg, Charles, Kaufman, John, Keller, Frederick, Kolbeck, Kenneth, Landry, Gregory, Mitchell, Erica, Barton, Robert, DeLoughery, Thomas, Kalbfleisch, Norman, Minjarez, Renee, Lakin, Paul, Liem, Timothy, Moneta, Gregory, Farsad, Khashayar, Fleischman, Ross, French, Loren, Marques, Vasco, Al−Hassani, Yasir, Sawar, Asad, Taylor, Frank, Patel, Rajul, Malhotra, Rahul, Hashemi, Farah, Padnick, Marvin, Gurley, Melissa, Cucher, Fred, Sterrenberg, Ronald, Deepthi, G. Reshmaal, Cumaranatunge, Gomes, Bhatla, Sumit, Jacobs, Darick, Dolen, Eric, Gamboa, Pablo, Dean, L. Mark, Davis, Thomas, Lippert, John, Khanna, Sanjeev, Schirf, Brian, Silber, Jeffrey, Wood, Donald, McGraw, J. Kevin, LaPerna, Lucy, Willette, Paul, Murphy, Timothy, Cerezo, Joselyn, Dhangana, Rajoo, Ahn, Sun Ho, Dubel, Gregory, Haas, Richard, Jay, Bryan, Prince, Ethan, Soares, Gregory, Klinger, James, Lambiase, Robert, Jay, Gregory, Tubbs, Robert, Beland, Michael, Hampson, Chris, O'Hara, Ryan, Thompson, Chad, Frodsham, Aaron, Gardiner, Fenwick, Jaffan, Abdel, Keating, Lawrence, Zafar, Abdul, Alicic, Radica, Raabe, Rodney, Brower, Jayson, McClellan, David, Pellow, Thomas, Zylak, Christopher, Davis, Joseph, Reilly, M. Kathleen, Symington, Kenneth, Seibold, Camerson, Nachreiner, Ryan, Murray, Daniel, Murray, Stephen, Saha, Sandeep, Luna, Gregory, Hodgson, Kim, McLafferty, Robert, Hood, Douglas, Moore, Colleen, Griffen, David, Hurst, Darren, Lubbers, David, Kim, Daniel, Warren, Brent, Engel, Jeremy, Suresh, D.P., VanderWoude, Eric, Razdan, Rahul, Hutchins, Mark, Rounsborg, Terry, Midathada, Madhu, Moravec, Daniel, Tilford, Joni, Beckman, Joni, Razavi, Mahmood, Openshaw, Kurt, Flanigan, D. Preston, Loh, Christopher, Dorne, Howard, Chan, Michael, Thomas, Jamie, Psaila, Justin, Ringold, Michael, Fisher, Jay, Lipcomb, Any, Oskin, Timothy, Wible, Brandt, Coleman, Brendan, Elliott, David, Gaddis, Gary, Cochran, C. Doug, Natarajan, Kannan, Bick, Stewart, Cooke, Jeffrey, Hedderman, Ann, Greist, Anne, Miller, Lorrie, Martinez, Brandon, Flanders, Vincent, Underhill, Mark, Hofmann, Lawrence, Sze, Daniel, Kuo, William, Louie, John, Hwang, Gloria, Hovsepian, David, Kothary, Nishita, Berube, Caroline, Schreiber, Donald, Jeffrey, Brooke, Schor, Jonathan, Deitch, Jonathan, Singh, Kuldeep, Hahn, Barry, Ardolic, Brahim, Gupta, Shilip, Bashir, Riyaz, Rao, Angara Koneti, Garg, Manish, Patil, Pravin, Zack, Chad, Cohen, Gary, Schmieder, Frank, Lakhter, Valdimir, Sacks, David, Guay, Robert, Scott, Mark, Cunningham, Karekin, Sigal, Adam, Cescon, Terrence, Leasure, Nick, Dhurairaj, Thiruvenkatasamy, Muck, Patrick, Knochel, Kurt, Lohr, Joann, Barreau, Jose, Recht, Matthew, Bhaskaran, Jayapandia, Brahmamdam, Ranga, Draper, David, Mehta, Apurva, Maher, James, Sharafuddin, Melhem, Lentz, Steven, Nugent, Andrew, Sharp, William, Kresowik, Timothy, Nicholson, Rachel, Sun, Shiliang, Youness, Fadi, Pascarella, Luigi, Ray, Charles, Knuttinen, Martha-Gracia, Bui, James, Gaba, Ron, Dobiesz, Valerie, Shamim, Ejaz, Nimmagadda, Sangeetha, Peace, David, Zain, Aarti, Palumto, Alison, Haskal, Ziv, Hirshon, Jon Mark, Richard, Howard, Verceles, Avelino, Wong-You-Chong, Jade, Othee, Bertrand, Patel, Rahul, Iliescu, Bogdan, Williams, David, Gemmete, Joseph, Cwikiel, Wojciech, Cho, Kyung, Schields, James, Vellody, Ranjith, Novelli, Paula, Dasika, Narasimham, Wakefield, Thomas, Desmond, Jeffrey, Froehlich, James, Khaja, Minhajuddin, Hunter, David, Golzarian, Jafar, Cressman, Erik, Dotta, Yvonne, Schmiechen, Nate, Marek, John, Garcia, David, Tawil, Isaac, Langsfeld, Mark, Moll, Stephan, Mauro, Matthew, Stavas, Joseph, Burke, Charles, Dixon, Robert, Yu, Hyeon, Keagy, Blair, Kim, Kyuny, Kasthuri, Raj, Key, Nigel, Chaer, Rabih, Makaroun, Michael, Rhee, Robert, Cho, Jae−Sung, Baril, Donald, Marone, Luke, Hseih, Margaret, Feterik, Kristian, Smith, Roy, Jeyabalan, Geetha, Rogers, Jennifer, Vinik, Russel, Kinikini, Dan, Kraiss, Larry, Mueller, Michelle, Pendleton, Robert, Rondina, Matthew, Sarfati, Mark, Wanner, Nathan, Johnson, Stacy, Hopkins, Christy, Ihnat, Daniel, Angle, John, Matsumoto, Alan, Harthun, Nancy, Turba, Ulku, Saad, Wael, Uthlaut, Brian, Nannapaneni, Srikant, Ling, David, Sabri, Saher, Kern, John, Macik, B. Gail, Hoke, George, Park, Auh Wahn, Stone, James, Sneed, Benjamin, Syverud, Scott, Davidson, Kelly, Sharma, Aditya, Wilkins, Luke, Black, Carl, Asay, Mark, Hatch, Daniel, Smilanich, Robert, Patten, Craig, Brown, S. Douglas, Nielsen, Ryan, Alward, William, Collins, John, Nokes, Matthew, Geary, Randolph, Edwards, Matthew, Godshall, Christopher, Levy, Pavel, Winokur, Ronald, Sista, Akhilesh, Madoff, David, Lee, Kyungmouk, Pua, Bradley, DeSancho, Maria, Milizia, Raffaele, Gao, Jing, McLean, Gordon, Khalid, Sanualah, Vedantham, Suresh, Lewis, Larry, Saad, Nael, Thoelke, Mark, Pallow, Robert, Klein, Seth, Sicard, Gregorio, Cohen, David J., Comerota, Anthony J., Gornik, Heather L., Jaff, Michael R., Julian, Jim, Kahn, Susan R., Kearon, Clive, Kee, Stephen, Kindzelski, Andrei L., Lewis, Lawrence, Magnuson, Elizabeth, Razavi, Mahmood K., Murphy, Timothy P., Julian, Jim A., Gu, Chu-Shu, Magnuson, Elizabeth A., Goldhaber, Samuel Z., Schneider, Joseph R., Sista, Akhilesh K., McLafferty, Robert B., Kaufman, John A., Wible, Brandt C., and Blinder, Morey

Published
2020
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15. Single‐shot quantitative x‐ray imaging using a primary modulator and dual‐layer detector.

Author

Shi, Linxi, Bennett, Nathaniel Robert, Vezeridis, Alexander, Kothary, Nishita, and Wang, Adam S.

Subjects
X-rays, X-ray imaging, DETECTORS, STANDARD deviations, ECHO-planar imaging, CONE beam computed tomography, COPPER
Abstract

Background: Conventional x‐ray imaging and fluoroscopy have limitations in quantitation due to several challenges, including scatter, beam hardening, and overlapping tissues. Dual‐energy (DE) imaging, with its capability to quantify area density of specific materials, is well‐suited to address such limitations, but only if the dual‐energy projections are acquired with perfect spatial and temporal alignment and corrected for scatter. Purpose: In this work, we propose single‐shot quantitative imaging (SSQI) by combining the use of a primary modulator (PM) and dual‐layer (DL) detector, which enables motion‐free DE imaging with scatter correction in a single exposure. Methods: The key components of our SSQI setup include a PM and DL detector, where the former enables scatter correction for the latter while the latter enables beam hardening correction for the former. The SSQI algorithm allows simultaneous recovery of two material‐specific images and two scatter images using four sub‐measurements from the PM encoding. The concept was first demonstrated using simulation of chest x‐ray imaging for a COVID patient. For validation, we set up SSQI geometry on our tabletop system and imaged acrylic and copper slabs with known thicknesses (acrylic: 0–22.5 cm; copper: 0–0.9 mm), estimated scatter with our SSQI algorithm, and compared the material decomposition (MD) for different combinations of the two materials with ground truth. Second, we imaged an anthropomorphic chest phantom containing contrast in the coronary arteries and compared the MD with and without SSQI. Lastly, to evaluate SSQI in dynamic applications, we constructed a flow phantom that enabled dynamic imaging of iodine contrast. Results: Our simulation study demonstrated that SSQI led to accurate scatter correction and MD, particularly for smaller focal blur and finer PM pitch. In the validation study, we found that the root mean squared error (RMSE) of SSQI estimation was 0.13 cm for acrylic and 0.04 mm for copper. For the anthropomorphic phantom, direct MD resulted in incorrect interpretation of contrast and soft tissue, while SSQI successfully distinguished them quantitatively, reducing RMSE in material‐specific images by 38%–92%. For the flow phantom, SSQI was able to perform accurate dynamic quantitative imaging, separating contrast from the background. Conclusions: We demonstrated the potential of SSQI for robust quantitative x‐ray imaging. The integration of SSQI is straightforward with the addition of a PM and upgrade to a DL detector, which may enable its widespread adoption, including in techniques such as radiography and dynamic imaging (i.e., real‐time image guidance and cone‐beam CT). [ABSTRACT FROM AUTHOR]

Published
2024
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19. Migration of implanted markers for image-guided lung tumor stereotactic ablative radiotherapy.

Author

Hong, Julian C, Eclov, Neville CW, Yu, Yao, Rao, Aarti K, Dieterich, Sonja, Le, Quynh-Thu, Diehn, Maximilian, Sze, Daniel Y, Loo, Billy W, Kothary, Nishita, and Maxim, Peter G

Subjects
Humans, Lung Neoplasms, Tomography, X-Ray Computed, Treatment Outcome, Radiosurgery, Surgery, Computer-Assisted, Artifacts, Sensitivity and Specificity, Retrospective Studies, Reproducibility of Results, Equipment Design, Equipment Failure Analysis, Motion, Aged, Female, Male, Fiducial Markers, Tomography, X-Ray Computed, Surgery, Computer-Assisted, Nuclear Medicine & Medical Imaging, Clinical Sciences, Medical Physiology, Other Physical Sciences
Abstract

The purpose of this study was to quantify postimplantation migration of percutaneously implanted cylindrical gold seeds ("seeds") and platinum endovascular embolization coils ("coils") for tumor tracking in pulmonary stereotactic ablative radiotherapy (SABR). We retrospectively analyzed the migration of markers in 32 consecutive patients with computed tomography scans postimplantation and at simulation. We implanted 147 markers (59 seeds, 88 coils) in or around 34 pulmonary tumors over 32 procedures, with one lesion implanted twice. Marker coordinates were rigidly aligned by minimizing fiducial registration error (FRE), the root mean square of the differences in marker locations for each tumor between scans. To also evaluate whether single markers were responsible for most migration, we aligned with and without the outlier causing the largest FRE increase per tumor. We applied the resultant transformation to all markers. We evaluated migration of individual markers and FRE of each group. Median scan interval was 8 days. Median individual marker migration was 1.28 mm (interquartile range [IQR] 0.78-2.63 mm). Median lesion FRE was 1.56 mm (IQR 0.92-2.95 mm). Outlier identification yielded 1.03 mm median migration (IQR 0.52-2.21 mm) and 1.97 mm median FRE (IQR 1.44-4.32 mm). Outliers caused a mean and median shift in the centroid of 1.22 and 0.80 mm (95th percentile 2.52 mm). Seeds and coils had no statistically significant difference. Univariate analysis suggested no correlation of migration with the number of markers, contact with the chest wall, or time elapsed. Marker migration between implantation and simulation is limited and unlikely to cause geometric miss during tracking.

Published
2013

31. Radiologists staunchly support patient safety and autonomy, in opposition to the SCOTUS decision to overturn Roe v Wade

Author

Karandikar, Aditya, primary, Solberg, Agnieszka, additional, Fung, Alice, additional, Lee, Amie Y., additional, Farooq, Amina, additional, Taylor, Amy C., additional, Oliveira, Amy, additional, Narayan, Anand, additional, Senter, Andi, additional, Majid, Aneesa, additional, Tong, Angela, additional, McGrath, Anika L., additional, Malik, Anjali, additional, Brown, Ann Leylek, additional, Roberts, Anne, additional, Fleischer, Arthur, additional, Vettiyil, Beth, additional, Zigmund, Beth, additional, Park, Brian, additional, Curran, Bruce, additional, Henry, Cameron, additional, Jaimes, Camilo, additional, Connolly, Cara, additional, Robson, Caroline, additional, Meltzer, Carolyn C., additional, Phillips, Catherine H., additional, Dove, Christine, additional, Glastonbury, Christine, additional, Pomeranz, Christy, additional, Kirsch, Claudia F.E., additional, Burgan, Constantine M., additional, Scher, Courtney, additional, Tomblinson, Courtney, additional, Fuss, Cristina, additional, Santillan, Cynthia, additional, Daye, Dania, additional, Brown, Daniel B., additional, Young, Daniel J., additional, Kopans, Daniel, additional, Vargas, Daniel, additional, Martin, Dann, additional, Thompson, David, additional, Jordan, David W., additional, Shatzkes, Deborah, additional, Sun, Derek, additional, Mastrodicasa, Domenico, additional, Smith, Elainea, additional, Korngold, Elena, additional, Dibble, Elizabeth H., additional, Arleo, Elizabeth K., additional, Hecht, Elizabeth M., additional, Morris, Elizabeth, additional, Maltin, Elizabeth P., additional, Cooke, Erin A., additional, Schwartz, Erin Simon, additional, Lehrman, Evan, additional, Sodagari, Faezeh, additional, Shah, Faisal, additional, Doo, Florence X., additional, Rigiroli, Francesca, additional, Vilanilam, George K., additional, Landinez, Gina, additional, Kim, Grace Gwe-Ya, additional, Rahbar, Habib, additional, Choi, Hailey, additional, Bandesha, Harmanpreet, additional, Ojeda-Fournier, Haydee, additional, Ikuta, Ichiro, additional, Dragojevic, Irena, additional, Schroeder, Jamie Lee Twist, additional, Ivanidze, Jana, additional, Katzen, Janine T., additional, Chiang, Jason, additional, Nguyen, Jeffers, additional, Robinson, Jeffrey D., additional, Broder, Jennifer C., additional, Kemp, Jennifer, additional, Weaver, Jennifer S., additional, Conyers, Jesse M., additional, Robbins, Jessica B., additional, Leschied, Jessica R., additional, Wen, Jessica, additional, Park, Jocelyn, additional, Mongan, John, additional, Perchik, Jordan, additional, Barbero, José Pablo Martínez, additional, Jacob, Jubin, additional, Ledbetter, Karyn, additional, Macura, Katarzyna J., additional, Maturen, Katherine E., additional, Frederick-Dyer, Katherine, additional, Dodelzon, Katia, additional, Cort, Kayla, additional, Kisling, Kelly, additional, Babagbemi, Kemi, additional, McGill, Kevin C., additional, Chang, Kevin J., additional, Feigin, Kimberly, additional, Winsor, Kimberly S., additional, Seifert, Kimberly, additional, Patel, Kirang, additional, Porter, Kristin K., additional, Foley, Kristin M., additional, Patel-Lippmann, Krupa, additional, McIntosh, Lacey J., additional, Padilla, Laura, additional, Groner, Lauren, additional, Harry, Lauren M., additional, Ladd, Lauren M., additional, Wang, Lisa, additional, Spalluto, Lucy B., additional, Mahesh, M., additional, Marx, M. Victoria, additional, Sugi, Mark D., additional, Sammer, Marla B.K., additional, Sun, Maryellen, additional, Barkovich, Matthew J., additional, Miller, Matthew J., additional, Vella, Maya, additional, Davis, Melissa A., additional, Englander, Meridith J., additional, Durst, Michael, additional, Oumano, Michael, additional, Wood, Monica J., additional, McBee, Morgan P., additional, Fischbein, Nancy J., additional, Kovalchuk, Nataliya, additional, Lall, Neil, additional, Eclov, Neville, additional, Madhuripan, Nikhil, additional, Ariaratnam, Nikki S., additional, Vincoff, Nina S., additional, Kothary, Nishita, additional, Yahyavi-Firouz-Abadi, Noushin, additional, Brook, Olga R., additional, Glenn, Orit A., additional, Woodard, Pamela K., additional, Mazaheri, Parisa, additional, Rhyner, Patricia, additional, Eby, Peter R., additional, Raghu, Preethi, additional, Gerson, Rachel F., additional, Patel, Rina, additional, Gutierrez, Robert L., additional, Gebhard, Robyn, additional, Andreotti, Rochelle F., additional, Masum, Rukya, additional, Woods, Ryan, additional, Mandava, Sabala, additional, Harrington, Samantha G., additional, Parikh, Samir, additional, Chu, Sammy, additional, Arora, Sandeep S., additional, Meyers, Sandra M., additional, Prabhu, Sanjay, additional, Shams, Sara, additional, Pittman, Sarah, additional, Patel, Sejal N., additional, Payne, Shelby, additional, Hetts, Steven W., additional, Hijaz, Tarek A., additional, Chapman, Teresa, additional, Loehfelm, Thomas W., additional, Juang, Titania, additional, Clark, Toshimasa J., additional, Potigailo, Valeria, additional, Shah, Vinil, additional, Planz, Virginia, additional, Kalia, Vivek, additional, DeMartini, Wendy, additional, Dillon, William P., additional, Gupta, Yasha, additional, Koethe, Yilun, additional, Hartley-Blossom, Zachary, additional, Wang, Zhen Jane, additional, McGinty, Geraldine, additional, Haramati, Adina, additional, Allen, Laveil M., additional, and Germaine, Pauline, additional

Published
2023
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36. Proceedings from the Society of Interventional Radiology Foundation Research Consensus Panel on Artificial Intelligence in Interventional Radiology: From Code to Bedside

Author

Chapiro, Julius, primary, Allen, Bibb, additional, Abajian, Aaron, additional, Wood, Bradford, additional, Kothary, Nishita, additional, Daye, Dania, additional, Bai, Harrison, additional, Sedrakyan, Art, additional, Diamond, Matthew, additional, Simonyan, Vahan, additional, McLennan, Gordon, additional, Abi-Jaoudeh, Nadine, additional, and Pua, Bradley, additional

Published
2022
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