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117 citation(s) found for "I, Garza".

Nononcologic Embolization
Salei, Aliaksei , Caridi, T. , Garza‐Ramos, Cynthia De la

Seminars in Interventional Radiology | November 17, 2022 | Volume: 39 | Issue: 04 | Pages: 416-420

10.1055/s-0042-1758077 | PMID 36406022 Get It

AbstractThe scope of conditions managed by embolization, which was initially used for the treatment of hemorrhage and vascular malformations, is constantly expanding. Apart from oncologic indications, embolization is used to treat a wide range of benign pathology, including uterine fibroids and benign prostatic hyperplasia. While various particulate embolic agents are successfully used for benign embolization, there is growing evidence that unique properties of these may result in different outcomes. This article reviews available evidence comparing various particles used for uterine fibroid embolization and prostate artery embolization. In addition, we provide an overview of periprocedural pharmacology and protocols facilitating same-day discharge for these interventions.
Correction: Sebro, R.; De la Garza-Ramos, C. Machine Learning for Opportunistic Screening for Osteoporosis from CT Scans of the Wrist and Forearm. Diagnostics 2022, 12, 691
Sebro, Ronnie , Garza‐Ramos, Cynthia De la , De la Garza-Ramos, Cynthia

Diagnostics | October 31, 2022 | Volume: 12 | Issue: 11 | Pages: 2635

10.3390/diagnostics12112635 | PMID 36359598 Get It

In the original publication [...]
Racial disparities in inpatient clinical presentation, treatment, and outcomes in brain metastasis
McCray, Edwin , Waguia, Romaric, Price, Meghan , Williamson, Theresa , Dalton, Tara , Sciubba, Daniel M. , Yassari, Reza , Goodwin, Andrea N. , Fecci, Peter E. , Johnson, Margaret , Chaichana, Kaisorn L. , Dalton, Tara , Chaichana, Kaisorn, Fecci, Peter E , Ramos, Rafael De la Garza , Goodwin, C. Rory

Neuro-Oncology Practice | July 31, 2022 | Volume: 10 | Issue: 1 | Pages: 62-70

10.1093/nop/npac061 | PMID 36659969 Get It

Abstract Background Few studies have assessed the impact of race on short-term patient outcomes in the brain metastasis population. The goal of this study is to evaluate the association of race with inpatient clinical presentation, treatment, in-hospital complications, and in-hospital mortality rates for patients with brain metastases (BM). Method Using data collected from the National Inpatient Sample between 2004 and 2014, we retrospectively identified adult patients with a primary diagnosis of BM. Outcomes included nonroutine discharge, prolonged length of stay (pLOS), in-hospital complications, and mortality. Results Minority (Black, Hispanic/other) patients were less likely to receive surgical intervention compared to White patients (odds ratio [OR] 0.70; 95% confidence interval [CI] 0.66–0.74, p < 0.001; OR 0.88; 95% CI 0.84–0.93, p < 0.001). Black patients were more likely to develop an in-hospital complication than White patients (OR 1.35, 95% CI 1.28–1.41, p < 0.001). Additionally, minority patients were more likely to experience pLOS than White patients (OR 1.48; 95% CI 1.41–1.57, p < 0.001; OR 1.34; 95% CI 1.27–1.42, p < 0.001). Black patients were more likely to experience a nonroutine discharge (OR 1.25; 95% CI 1.19–1.31, p < 0.001) and higher in-hospital mortality than White (OR 1.13; 95% CI 1.03–1.23, p = 0.008). Conclusion Our analysis demonstrated that race is associated with disparate short-term outcomes in patients with BM. More efforts are needed to address these disparities, provide equitable care, and allow for similar outcomes regardless of care.
Statistically based nomograms for the minimal needle length required to achieve intra‐articular fluoroscopic‐guided injections of the shoulder, hip, and knee
Sebro, Ronnie , Garza‐Ramos, Cynthia De la , De la Garza-Ramos, Cynthia

PM&R | June 16, 2022 | Volume: 15 | Issue: 7 | Pages: 853-864

10.1002/pmrj.12864 | PMID 35706365 Get It

AbstractBackgroundImage‐guided intra‐articular injections are commonly performed to reduce pain in patients with arthritis or other joint‐related pathology. Utilizing a needle length that is too short could lead to increased patient discomfort, increased procedural time, and extra‐articular injections.ObjectiveTo predict the minimum needle length required for fluoroscopic‐guided intra‐articular injections of the hips, knees, and shoulders based on patient age, gender, height and weight, or body mass index (BMI) and to evaluate whether this varies by gender.Study DesignCross‐sectional study.SettingTertiary care academic center.Participants600 consecutive patients with available magnetic resonance imaging (MRI) of the hips, knees, and shoulders (100 males and 100 females for each joint).MethodsThe distance from the skin to the joint (glenohumeral, hip and knee) and the thickness of the subcutaneous fat pad (distance from the skin to the muscle) along the injection path were measured. Multivariable linear ridge regression with 10‐fold cross‐validation was used to predict the distance from the skin to the hip, knee, and glenohumeral joints using age, gender, weight, and height or using age, gender, and BMI.ResultsThe data show that the subcutaneous fat thickness and the distance from the skin to all joints increase with weight (p < .001) and BMI (p < .001). Subcutaneous fat pads around the anterior shoulder (p < .02) and knee (<.001) are thicker in women than in men.ConclusionsPatient habitus, in particular weight and BMI, are strong predictors of the thickness of the subcutaneous fat pads and consequently strong predictors of the distance from the skin to the joint. Subcutaneous fat pad thickness around the shoulders and knees varies by gender. Nomograms showing the minimal needle length required to achieve intra‐articular injections of the hip, knee and glenohumeral joints are presented.
Machine Learning for Opportunistic Screening for Osteoporosis from CT Scans of the Wrist and Forearm
Sebro, Ronnie , Garza‐Ramos, Cynthia De la , De la Garza-Ramos, Cynthia

Diagnostics | March 11, 2022 | Volume: 12 | Issue: 3 | Pages: 691

10.3390/diagnostics12030691 | PMID 35328244 Get It

Background: We investigated whether opportunistic screening for osteoporosis can be done from computed tomography (CT) scans of the wrist/forearm using machine learning. Methods: A retrospective study of 196 patients aged 50 years or greater who underwent CT scans of the wrist/forearm and dual-energy X-ray absorptiometry (DEXA) scans within 12 months of each other was performed. Volumetric segmentation of the forearm, carpal, and metacarpal bones was performed to obtain the mean CT attenuation of each bone. The correlations of the CT attenuations of each of the wrist/forearm bones and their correlations to the DEXA measurements were calculated. The study was divided into training/validation (n = 96) and test (n = 100) datasets. The performance of multivariable support vector machines (SVMs) was evaluated in the test dataset and compared to the CT attenuation of the distal third of the radial shaft (radius 33%). Results: There were positive correlations between each of the CT attenuations of the wrist/forearm bones, and with DEXA measurements. A threshold hamate CT attenuation of 170.2 Hounsfield units had a sensitivity of 69.2% and a specificity of 77.1% for identifying patients with osteoporosis. The radial-basis-function (RBF) kernel SVM (AUC = 0.818) was the best for predicting osteoporosis with a higher AUC than other models and better than the radius 33% (AUC = 0.576) (p = 0.020). Conclusions: Opportunistic screening for osteoporosis could be performed using CT scans of the wrist/forearm. Multivariable machine learning techniques, such as SVM with RBF kernels, that use data from multiple bones were more accurate than using the CT attenuation of a single bone.
Protocols for Generating Surfaces and Measuring 3D Organelle Morphology Using Amira
Garza-López, Edgar , Vue, Zer , Katti, Prasanna , Neikirk, Kit , Biete, Michelle , Lam, Jacob , Beasley, Heather K. , Marshall, Andrea G. , Rodman, Taylor, Christensen, Trace , Salisbury, Jeffrey L., Vang, Larry , Mungai, Margaret , AshShareef, Salma, Murray, Sandra , Shao, Jianqiang, Streeter, Jennifer , Pereira, Renata O. , Hinton, Antentor , Pereira, Renata O , Hinton, Antentor , Katti, Prasanna , Beasley, Heather K , Murray, Sandra A , Lam, Jacob , Marshall, Andrea G , Glancy, Brian , Abel, E. Dale

Cells | December 28, 2021 | Volume: 11 | Issue: 1 | Pages: 65

10.3390/cells11010065 | PMID 35011629 Get It

High-resolution 3D images of organelles are of paramount importance in cellular biology. Although light microscopy and transmission electron microscopy (TEM) have provided the standard for imaging cellular structures, they cannot provide 3D images. However, recent technological advances such as serial block-face scanning electron microscopy (SBF-SEM) and focused ion beam scanning electron microscopy (FIB-SEM) provide the tools to create 3D images for the ultrastructural analysis of organelles. Here, we describe a standardized protocol using the visualization software, Amira, to quantify organelle morphologies in 3D, thereby providing accurate and reproducible measurements of these cellular substructures. We demonstrate applications of SBF-SEM and Amira to quantify mitochondria and endoplasmic reticulum (ER) structures.
Metabolic Syndrome and Acute Respiratory Distress Syndrome in Hospitalized Patients With COVID-19
Gillet, A.S. , Zu, Yuanhao, Brown, Margo, Pham, Thaidan , Yoshida, Yilin , Douglas, Ivor S. , Moore, Mathew, Tea, Kevin, Wetherbie, Andrew, Stevens, Rachael, Lefante, John J., Shaffer, Jeffrey G. , Armaignac, Donna Lee , Belden, Katherine A. , Kaufman, Margit, Heavner, Smith F. , Danesh, Valerie , Hill, Catherine A. St., Boman, Karen , Bansal, Vikas , Kumar, Vishakha K. , Group, Society of Critical Care Medicine Discovery Viral Infection and Respiratory Illness Universal Study (VIRUS): COVID-19 Registry Investigator, Mesland, Jean-Baptiste , Henin, Pierre , Petre, Hélène, Buelens, Isabelle, Gérard, A , Granado, Rolando Claure-Del, Vega-Terraza, Esdenka, Iturricha-Cáceres, Maria F., Garza, Rubén , Chan, Victoria , Gavidia, Oscar Y., Pachon, Felipe, Tawheed, Ahmed , Pineda, Estela , Guillen, Gabina María Reyes, Soto, Helin Archaga, Lizardo, Ana Karen Vallecillo, Segu, Smitha, Chakraborty, T., Joyce, Epcebha, Kasumalla, Phani Sreeharsha, Vadgaonkar, Girish, Ediga, Rekha, Basety, Shilpa, Dammareddy, Shwetha, Raju, Umamaheswara, Manduva, Janaki, Kolakani, Naresh, Sripathi, Shreeja , Chaitanya, Sheetal, Parameswaran, Sreejith , Parthiban, Magesh, Menu, P., Daga, Mardul Kumar, Agarwal, Munisha , Rohtagi, Ishan, Papani, Sridhar, Kamuram, Mahesh, Agrawal, Kamlesh Kumar , Baghel, Vijendra, Patel, K, Mohan, Surapaneni Krishna, Jyothisree, Ekambaram, Dalili, Nooshin , Nafa, Mohsen, Matsuda, Wataru , Suzuki, Reina , Horikita, Sho, Kodate, Akira, Takahashi, Yuki , Moriki, Koyo, Iwasaki, Yudai , Rodríguez‐Gutiérrez, René , Gonzale, Jose Gerardo, Salcido‐Montenegro, Alejandro , Hassan-Hanga, Fatimah , Gezawa, Abubakar Shehu, Kabir, Halima , Amole, Taiwo Gboluwaga , Haliru, Dalha Gwarzo, Ibrahim, Abdullahi S., Asghar, Muhammad Sohaib , Syed, Mashaal , Naqvi, Syed Anosh Ali, Заболотских, И. Б. , Alamoudi, Razan K., Alsharif, Hassan, Almazwaghi, Sarah A., Elsakran, Mohammed S., Aid, M., Darwich, Mouaz A., Hagag, Omnia M., Ali, Salah A., Rocacorba, Alona, Supeña, Kathrine, Juane, Efren Ray, Medina, Jenalyn, Baduria, Jowany, Amer, Marwa , Dahhan, Talal, Kseibi, Eiad, Butt, Abid Shahzad, Khurshid, Syed Moazzum, Rabee, Muath, Abujazar, Mohammed, Alghunaim, Razan K, Abualkhair, Maal, AlFirm, Abeer Turki, Alarifi, Mohammed I, Macarambon, Jara Mia, Bukhari, Ahmad Abdullah, Albahrani, Hussian A, Aldossary, Kaltham M., Zoran, Marija Zdravkovic, Popadic, Viseslaz, Bojicic, Jovana, Predrag, Stevanović, Stojakov, Dejan , Ignjatovic, Duska K., Bojicic, Suzana C, Bobos, Mariana M, Nenadić, Irina , Zaric, Milica S., Djuric, Marko , Djukic, Vladimir R., Teruel, Santiago, Martin, Belen C., Bilgin, Huseyin, Dodd, Kenneth W. , Goodmanson, Nicholas, Hesse, Kathleen, Bird, P. H., Weinert, Chauncey, Schoenrade, Nathan, Altaher, Abdulrahman, Mayar, Esmael, Aronson, Matthew, Cooper, Tyler, Logan, Monica, Miner, Brianna, Papo, Gisele, Siegal, Eric M., Runningen, Phyllis, Patel, Love , Melamed, Roman , Tierney, David M. , Raj, Vino S., Mazumder, Narayana, Hill, Catherine St., Kirkland, Lisa L., Schmitz, Nova J., Sigman, Alena, Hall, Joan, Raval, Abhijit, Franks, Andrea S. , Jarvis, Jennifer M., Kharbanda, Anmol, Jhajhria, Sunil, Fyffe, Zachary, Capizzi, Stephen A., Alicie, Bethany, Green, Martha, Corckarell, Lori, Drennan, A. M., Dubuque, Kathleen, Fambrough, Tonya, Gasaway, Nikole, Krantz, Briana, Nebi, Peiman, Orga, Jan, Serfass, Margaret, Simion, Alina, Warren, Kimberly R., Wheeler, Cassie, Woolman, C. J., Christie, Amy B. , Adiga, Rajani, Moyer, A, Verghese, George M., Forehand, Chirsty C, Sabov, Moldovan, Zaidi, Fatema, Tissavirasingham, Fiona, Malipeddi, Dhatri , Campbell, Beth Salvagio , Wilson, Cathleen, Rivers, Patrick , Brinks, Jonathan, Mongoh, Mokenge Ndiva, Gilson, Boris, Armaignac, Donaa Lee, Parris, Don, Zuniga, Maria Pilar, Vargas, Ilea, Boronat, Viviana, Hutton, Anneka, Kaur, Navneet , Neupane, Prashank, Sadule-Rios, Nohemi, Rojas, Lourdes M. , Neupane, Aashish, Rivera, Priscilla, Carlos, Carlos Valle, Amin, Mahesh, Schelle, Mary E, Steadham, Amanda, McBride, Cameron , Abraham, Jocelyn, Richards, Katherine , Collins, Keegan, Antony, Preethi, Dubrocq, Gueorgui , Davis, Amber, Hammers, Marissa J, McGahey, Ill M, Farris, Amanda C., Priest, Elisa L. , Korsmo, Robyn, Fares, Lorie, Skiles, Kathy, Shor, Susan M, Burns, Kenya, Flores, Melody, Newman, Lindsay, Wilk, Debora A., Ettlinger, Jason, Bomar, Jaccallene, Darji, Himani, Arroliga, Alejandro C. , Dowell, Corrie A., Gonzales, Gabriela “ Hope”, Garcia, Michael A. , Colona, Mia R., Kibbelaar, Zoé A. , Leong, Michael S. , Wallman, Daniel , Soni, Kanupriya , Maccarone, Jennifer , Gilman, Joshua, Devis, Ycar, Chung, Joseph, Paracha, Munizay , Lumelsky, David , DiLorenzo, Madeline A. , Abdurrahman, Najla, Johnson, Shelsey W. , Hersh, Maj Andrew M., Wachs, Stephanie, Swigger, Brittany S., Sattler, L, Moulton, Michael N., Zammit, Kimberly, Loeffler, William, Tirupathi, Raghavendra , Tang, Alymer, Safi, Arshad M., Green, Cindy, Newell, J.D., Ramani, Naga, Ganti, Bhavani Harika, Ihle, R , Davis, Elaine , Martin, Shelda A, Sayed, Imran A., Strom, Larisa, Lee, Giyoung , Burnett, Ryan H., Sydney, Guy I. , Traynor, Danielle M., White, Joshua, Khan, Aftab, Dhahwal, Rahul, Ahmed, Farzin, Deonarine, Chrispoter, Jones, Ashley, Shaikh, Mohammad Ali, Preston, David A. , Chin, Jeanette, Duggal, Abhijit, Rajendram, Prabalini , Mehkri, Omar , Biehl, Michelle, Houltham, Stuart, Kind, Alexander, Ashok, Kiran, Poynter, Bryan, Beukemann, Mary, Rice, Richard, Gole, Susan, Shaner, Valerie , Conjeevaram, Adarsh, Ferrari, Michlelle, Alappan, Narendrakumar, Minear, Steven , Hernández-Montfort, Jaime , Nasim, Syed Sohaib, Sunderkrishnan, Ravi, Sahoo, Debasis , Milligan, Patrick S., Koglin, Joy M., Gibson, Regina, Johnson, Lana, Preston, Felicia, Scott, Crimson, Nungester, Bethany, Byrne, Dana , Grant, Katie, Doktar, Katherine L, Porto, Maura C, Kaplan, Olgo, Schonewald, Brian, Woodford, Ashley L., Tsai, Alan , Reid, Savina, Bhowmick, Kuntal, Daneshpooy, Saba , Mowdawalla, Cyrus , Dave, Trishna Akshay, Crudeli, Wilhemina Kennedy Connor, Ferry, Chirstopher, Nguyen, Long , Modi, Sneha, Padala, Niharika, Patel, Pavan Jitendra, Lin, Belle, Qiuyun, Jamie, Liu, Fan Mandi, Kota, Rasagna, Banerjee, Annesha , Daugherty, Steven K., Atkinson, Sam, Shrimpton, Kelly, Ontai, Sidney , Contreras, Brian, Obinwanko, Uzoma, Amamasi, Nneka, Sharafi, Amir, Lee, Sarah , Esber, Zahia , Jinjvadia, Chetna, Krishnamoorthy, Vijay , Kraft, Bryan , Pulsipher, Aaron, Friedman, Eugene, Mehta, Sachin , Kaufman, Margit, Lobel, G, Gandhi, Nisha, AbdelAty, Amr M. , Shaji, Elizabeth, Lim, Kiana, Marte, Juan M., Sosa, Dani Ashley, Benjenk, Ivy , Prasanna, Nivedita, Perkins, Nicholas , Roth, Prera J, Litwin, Alain H. , Pariyadath, Ananda, Moschella, Phillip , Llano, Trayson, Waller, Christine, Kallies, Kara J. , Thorsen, Jonean , Fitzsimmons, Alec , Olsen, H. L., Smalls, Normal, Davis, S., Jovic, Valentina, Masuda, M, Hayes, Amanda, Nault, Katharine, Snow, William G., Liptak, Riley, Durant, Hannah, Pendleton, Valerie, Nanavati, Alay, Mrozowsk, Risa, Doubleday, Erica, Liu, Yuk Min, Zavala, Sarah , Shim, Esther, Reilkoff, Ronald A., Eichen, Sarah, Goertzen, Lexie, Rajala, Scott, Feussom, Ghislaine, Junia, Christine, Lichtenberg, Robert, Sidhu, Hasrat, Espinoza, Diana , Rodrigues, Shelden , Zabala, Marai Jose, Susheela, Ammu , Hatharaliyadda, Buddhi, Rameshkumar, Naveen, Kasireddy, Amulya, Beltran, Lisseth, Chaugule, Akshata, Patil, Namrata, Patil, Ruhi, Cartin‐Ceba, Rodrigo , Sen, Ayan , Talaei, Fahimeh , Domecq, Juan Pablo , Gajic, Ognjen, Sharma, Mayank , Qamar, Shahraz , Morales, Diana J. Valencia , Nou, Abigail T. La, Bogojevic, Marija , Sanghavi, Devang , Franco, Pablo Morno, Ganaphadithan, Karthik, Saunders, Hollie , Fleissner, Zachary, Mateus, Alejandra Yu Lee, Kaur, Nirmaljot , Giri, Abhisekh, Hasan, Mohammed Mustafa, Donepudi, Ashrita , Khan, Syed Anjum , Jain, Nitesh , Koritala, Thoyaja , Nanchal, Rahul , Peterson, Jennifer , Yamanaka, Travis, Barreras, Nicholas A., Markos, Michael, Fareeduddin, Anita, Mehta, Rohan, Venkata, Chakradhar , Engemann, Miriam, Mantese, Annamarie, Tarabichi, Yasir , Wang, Christine, Kotekal, Dhatri, Bierwirth, Adriana C. Briceno, Orellana, Gabriela, Catalasan, Gerardo , Ahmed, Shohana, Salinas, Ivania, Nogal, Genesis Del, Tejada, Ángel Morales-Martínez de, Chen, Jen‐Ting , Hope, Aluko A. , Tsagaris, Zoe, Ruen, Elise, Hambardzumyan, Aram, Siddiqi, Nasar A, Jurado, Lesly, Tincher, Lindsey, Brown, Carolyn , Aulakh, Bhagat , Bandy, Jennifer A., Kreps, Lisa M., Bollinger, Dwan R, Stienecker, Roger Scott , Melendez, Andre G, Brunner, Tressa A., Budzon, Sue M., Heffernan, J., Souder, Janelle M., Miller, Tracy L., Maisonneuve, A., Redfern, Roberta E. , Shoemaker, Jessica, Micham, Jennifer, Kenney, Lynn, Naimy, Gabriela, Pulver, Kerry P J, Yehle, Jennifer, Weeks, Alicia, Inman, T., Delmonaco, Brain L, Franklin, Anthony , Heath, Mitchell, Vilella, Antonia L. , Kutner, Sara B., Clark, Kacie , Anderson, Harry L, Rajkumar, Dixy, Abunayla, Ali, Heiter, Jerrilyn, Zaren, Howard A. , Smith, Stephanie J., Lewis, Grant C., Seames, Lauren, Farlow, Cheryl, Miller, Judy, Broadstreet, Gloria, Martinez, Anthony , Allison, Micheal, Mittal, Aniket, Ruíz, Rafael Azuar , Skaanland, Aleta, Patel, Umang, Hodge, Jordesha, Patel, Krunal Kumar, Dalal, Shivani , Kavani, Himanshu , Joseph, Sam W. , Bernstein, Michael, Goff, Ian K., Naftilan, Matthew, Mathew, Amal , Williams, Debora, Murdock, Sue, Ducey, Maryanne, Nelson, Kerianne, Mitchel, James, Cox, Sylvan, Amzuta, Ioana, Shah, Amish , Modi, Ritu, Al-Khalisy, Hassan, Masuta, Pradeep, Schafer, Melissa , Wratney, Angela, Carter, K., Olmos, M. A. Martinez, Parker, Brittany M, Quintanilla, Julio, Craig, Tara A, Clough, B., Jameson, J, Jones, Tacy L, Ayers, Shonda C., Harrell, Amy B., Brown, Brent R., Darby, Caleb, Page, Kristy, Brown, Amanda, McAbee, Jessie, Baram, Michael , Weber, Devin , DePaola, Rosalie, Xia, Yuwei , Carter, Hudson, Tolley, A. E., Ferranti, Mary, Steele, Mark P., Kemble, Laurie, Sethi, Joshua, Han, Chung Cheng, Pagliaro, Jaclyn , Husian, Abdurrahman, Zawaydeh, Qais , Sines, B. , Markotić, Dragana, Bošnjak, Ivana, Nicholson, Susannah E. , Jonas, Rachelle B., Dement, AnnaRose E, Tang, William , DeRose, Mark, Villarreal, Robert E, Dy, Rajany , Lardino, Alfredo, Sharma, Jill H., Czieki, Richard, Christopher, Julia, Lacey, Ryan, Mashina, Marwan , Patel, Kushal, Gomaa, Dina , Goodman, Micahel, Spuzzillo, Anthony , Shinn, John O., Baslanti, Tezcan Ozrazgat, Omalay, George, Hashemighouchani, Haleh , Cupka, Julie S , Galet, Colette , Hubbard, Janice, Nazir, Usman, Rampon, Garrett , Riggle, Jake, Dismag, Nathan, Lenhardt, Rainer, Cavallazzi, Rodrigo , Jerde, Ann, Black, Alexa, Polidori, A., Griffey, Haily, Winkler, J., Brenzel, Thomas, Alvarez, Rodger A, Alarocon-Calderon, Amarilys, Sosa, Marie Anne , Mahabir, Sunita, Patel, Mausam , Parker, Pauline, Admon, Andre, Hanna, Sinan, Pliakas, Maria , Wolski, Ann, Cirino, Jennifer, Geiger, Grant , Njai, Abdoulie , Saad, Baraa M., Chuan, Byron, Rawal, Sagar L, Piracha, Manal, Levin, Nicholas M. , Suslavich, Kayte , Tsolinas, Rachel , Fica, Zachary , Skidmore, Chloe R., Stapleton, Renee D., Dixon, Anne E. , Johnson, Olivia, Ardren, Sara S., Burns, Stephanie, Raymond, Anna, Gonyaw, Erika, Hodgdon, Kevin , Houseger, Chole, Lin, Benjamin R. , McQuesten, Karen, Grimm, Heidi Pecott-, Sweet, Julie, Ventrone, Sebastian, Khandelwal, Nita , Lovelace-Macon, Lara, Garimella, Navya, Dow, Denisse Bazan, Rahman, Rania Abdul, Mulrow, Mary, Wilfong, Erin M. , Vela, Kelsi, Harris, Lynne, Cusson, Bruce, Fowler, Jacob , VanEenenaam, David P., Mckinney, Glen , Udoh, Imoh, Johnson, Kathleen N. , Michelson, Andrew P. , Haulf, Sara S, Lynch, Lauren, Steinbery, Aaron, Braus, Nicholas, Pattan, Vishwanath , Papke, J, Jimada, Ismail, Mhid, Nida, Chakola, Samuel, Sheth, Kevin N., Ammar, Abdalla , Lopez, Victor Torres , Khosla, Akhil , Gautam, Samir C. , Lee‐Mateus, Alejandra Yu , Bansal, Vikas , Yu Lee-Mateus, Alejandra , Kaur, Nirmaljot , Asghar, Muhammad S , Redfern, Roberta E , Denson, Joshua L. , Mauvais‐Jarvis, Franck , Cheruku, Sreekanth , Deo, Neha , Walkey, Allan J. , Kashyap, Rahul , Group, Society of Critical Care Medicine Discovery Viral Infection and Respiratory Illness Universal Study (VIRUS): COVID-19 Registry Investigator, Clevenbergh, Philippe Albert , Granado, Rolando Claure‐Del , Mercado, Jose A, Garza, Ruben, Chu, Eric, Chan, Victoria, El‐Kassas, Mohamed , Chakraborty, Tuhin, Cherian, Anusha , Menu, Priya A, Sanui, Masamitsu , Itagaki, Yuki , Shiga, Takuya , Camacho-Ortíz, Adrián , Galadanci, Hadiza , Syed, Mashaal, Musaeva, Tatiana Sergeevna , Bawazeer, Mohammed Abdullah , Alghunaim, Razan K, Almazyad, Mohammed , Asfina, Kazi Nur , Klašnja, Slobodan , Kovačević, Bojan , Teruel, Santiago Y, Sili, Uluhan , Ay, Pınar , Bird, Paige, Schoenrade, Nathan, Hall, Joan, Franks, Andrea, Drennan, Amelia, Warren, Kimberly, Ashley, Dennis W. , Sikora, Andrea , Bruning, Rebecca, Jones, Timothy W, Mosier, Jarrod , Lutrick, Karen , Vincent, Gregory, Howard, Christopher M. , Garner, Orlando , Mathew, Sindhu, Dubrocq, Gueorgui , Waikar, Sushrut S. , Leong, Michael, McGrath, Patrick J, Chilbert, Maya R. , Green, Cindy, Ihle, Rayan E, Martin, Shelda A., Gist, Katja M. , Chiotos, Kathleen , Blatz, Allison M. , Surani, Salim , White, Joshua, Khan, Aftab, Preston, David, Vachharajani, Vidula , Dugar, Siddharth , Sacha, Gretchen , Kind, Alexander, Gole, Susan, Gupta, Sandeep , Schorr, Christa , Siegler, James E. , Bartz, Raquel R. , Mehta, Sachin, Kaufman, Margit, Abdelaty, Amr, Yamane, David , Pariyadath, Anand, Olsen, Haley, Smith, Michael A. , Snow, William, Heneghan, Julia A. , Tang, Ben, Goyes, Daniela , Maldonado, Génessis , Khan, Hassan, Gajic, Ognjen , Tekin, Aysun , Lal, Amos , O’Horo, John C. , Singh, Romil , Nou, Abigail La, Zec, Simon , Guru, Pramod , Garcia, Juan, Yarrarapu, Siva Naga S. , Bergl, Paul A. , Peterson, Jennifer L, Perzynski, Adam T. , Wang, Christine, Matute, Carlos , Hamdan, Ahmad, Tejada, Angel, Tripathi, Sandeep , Inman, Terra, Moore, Danielle, Anderson, Harry L, Miller, Judy, Ruiz, Rafael, Ross, Robert, Joseph, Sam, Block, Jason, O’Brien, Connor , Carter, Kristina L, Olmos, Michael, Gupta, Neha , Darby, Caleb, Tolley, Aaron, Malhotra, Atul , Bice, Thomas J. , Bosnjak, Ivana, Vail, Emily A. , Tang, William, Villarreal, Roberto E., Patel, Kushal, Wakefield, Devin, Bihorac, Azra , Ruppert, Matthew M. , McGonagill, Patrick W. , Wang, David , Allan, Lauren , Badheka, Aditya V. , Chegondi, Madhuradhar , Akça, Ozan , Polidori, Allison, Winkler, Justin, Chanderraj, Rishi , Dandachi, Dima , Regunath, Hariharan , Camazine, Maraya , Saad, Baraa, Shah, Faraaz A , Tonna, Joseph E. , Lin, Benjamin, Pecott-Grimm, Heidi, West, T. Eoin , Caldwell, Ellen , Akhter, Murtaza , Khanna, Ashish , Lyons, Patrick G. , Lynch, Lauren M, Nguyen, Nguyet Minh , Papke, Jessica, Ammar, Mahmoud A , Dela Cruz, Charles S

JAMA Network Open | December 22, 2021 | Volume: 4 | Issue: 12 | Pages: e2140568

10.1001/jamanetworkopen.2021.40568 | PMID 34935924 Get It

Prevalence of cerebral vein thrombosis among patients with spontaneous intracranial hypotension
Oien, Michael P , JK, Cutsforth-Gregory, Garza, Ivan , NR, Kissoon, CM, Carr, Brinjikji, Waleed , M, Oien , I, Garza, Brinjikji, Waleed , Cutsforth‐Gregory, Jeremy K. , Kissoon, Narayan

Interventional Neuroradiology | December 14, 2021 | Volume: 28 | Issue: 6 | Pages: 719-725

10.1177/15910199211065912 | PMID 34904470 Get It

Background and purpose Cerebral venous sinus thrombosis (CVST) is a rare condition but an important complication of spontaneous intracranial hypotension (SIH). We reviewed our experience of patients with SIH and assessed for the presence of CVST. Methods We reviewed the medical records and imaging studies from our tertiary referral institution, assessing patients with clinically suspected SIH as well as imaging findings of intracranial hypotension. All relevant brain MRIs were reviewed for the presence of brain sag, pachymeningeal enhancement, and CVST. Results Among 563 patients with a clinical diagnosis of SIH, 431 (76%) demonstrated brain sag. In the overall patient cohort, a total of 5 patients had CVST (0.9%) and all 5 of these patients demonstrated findings of brain sag. Of the patients with CVST, 3 had significant complications, including dural arteriovenous fistulas (2 patients) and lobar hemorrhage with seizure (1 patient). Conclusion SIH is a risk factor for the development of CVST. In our review of 563 patients with clinical and/or imaging findings of SIH, 0.9% of patients were diagnosed with CVST and 3 of these patients (60%) had additional severe complications.
Classifying Esophageal Motility by FLIP Panometry: A Study of 722 Subjects With Manometry
Carlson, Dustin A. , Gyawali, C. Prakash , Khan, Abraham, Chen, Joan W. , Chokshi, Reena V. , Clarke, John O. , Garza, Jose M. , Jain, Anand , Katz, Philip O. , Konda, Vani J. , Lynch, Kristle L. , Schnoll‐Sussman, Felice , Vela, Marcelo F. , Prescott, Jacqueline, Baumann, Alexandra J. , Donnan, Erica N. , Pandolfino, John E. , Clarke, J , Gyawali, C P , Khan, Abraham, Yadlapati, Rena , Spechler, Stuart Jon , Kou, Wenjun , Kahrilas, Peter J.

American Journal of Gastroenterology | October 20, 2021 | Volume: 116 | Issue: 12 | Pages: 2357-2366

10.14309/ajg.0000000000001532 | PMID 34668487 Get It

INTRODUCTION: Functional luminal imaging probe (FLIP) panometry can evaluate esophageal motility in response to sustained esophageal distension at the time of sedated endoscopy. This study aimed to describe a classification of esophageal motility using FLIP panometry and evaluate it against high-resolution manometry (HRM) and Chicago Classification v4.0 (CCv4.0). METHODS: Five hundred thirty-nine adult patients who completed FLIP and HRM with a conclusive CCv4.0 diagnosis were included in the primary analysis. Thirty-five asymptomatic volunteers (“controls”) and 148 patients with an inconclusive CCv4.0 diagnosis or systemic sclerosis were also described. Esophagogastric junction (EGJ) opening and the contractile response (CR) to distension (i.e., secondary peristalsis) were evaluated with a 16-cm FLIP during sedated endoscopy and analyzed using a customized software program. HRM was classified according to CCv4.0. RESULTS: In the primary analysis, 156 patients (29%) had normal motility on FLIP panometry, defined by normal EGJ opening and a normal or borderline CR; 95% of these patients had normal motility or ineffective esophageal motility on HRM. Two hundred two patients (37%) had obstruction with weak CR, defined as reduced EGJ opening and absent CR or impaired/disordered CR, on FLIP panometry; 92% of these patients had a disorder of EGJ outflow per CCv4.0. DISCUSSION: Classifying esophageal motility in response to sustained distension with FLIP panometry parallels the swallow-associated motility evaluation provided with HRM and CCv4.0. Thus, FLIP panometry serves as a well-tolerated method that can complement, or in some cases be an alternative to HRM, for evaluating esophageal motility disorders.
Radioembolization for the Treatment of Hepatocellular Carcinoma: The Road to Personalized Dosimetry and Ablative Practice
Garza‐Ramos, Cynthia De la , Toskich, Beau B. , De la Garza-Ramos, Cynthia, De la Garza-Ramos, Cynthia

Seminars in Interventional Radiology | October 7, 2021 | Volume: 38 | Issue: 04 | Pages: 466-471

10.1055/s-0041-1735571 | PMID 34629715 Get It

AbstractRadioembolization dosimetry for the treatment of hepatocellular carcinoma has evolved alongside our understanding of best practice for this therapy. At the core of advances in dosimetry are personalized and ablative applications of radioembolization, which have generated paradigm shifts in both safety and efficacy. This review provides a summary of fundamental radioembolization dosimetry concepts and narrates how our approach to treating patients has shifted from conventional to tailored and definitive therapy.