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806 citation(s) found for "Xu, Yong".

Measuring Lipid Transfer Protein Activity Using Bicelle-Dilution Model Membranes
Gao, Yong‐Guang , Le, Le Thi My , Zhai, Xiuhong, Boldyrev, Ivan , Mishra, Shrawan K. , Tischer, Alexander , Murayama, Toshihiko , Molotkovsky, Julian G., Brown, Rhoderick E. , Boldyrev, Ivan A , Nishida, Atsushi , Brown, Rhoderick E , Tischer, Alexander , Alam, Amer

Analytical Chemistry | January 23, 2020 | Volume: 92 | Issue: 4 | Pages: 3417-3425

10.1021/acs.analchem.9b05523 | PMID 31970977 Get It

Deep Learning to Distinguish Benign from Malignant Renal Lesions Based on Routine MR Imaging
Xi, I., Wang, Robin , Chang, Marcello , Purkayastha, Subhanik , Chang, Ken, Huang, Raymond Y. , Silva, Alvin C. , Vallières, Martin , Habibollahi, Peiman , Zou, Beiji , Zhang, Paul J. , Zhang, Zishu , Bai, Harrison X. , Stavropoulos, S. William, Chang, Marcello , Vallières, Martin , Fan, Yong , Gade, Terence P , Soulen, Michael C , Huang, Raymond , Zhao, Yijun

Clinical Cancer Research | January 14, 2020 | Volume: 26 | Issue: 8 | Pages: 1944-1952

10.1158/1078-0432.ccr-19-0374 | PMID 31937619 Get It

Abstract Purpose: With increasing incidence of renal mass, it is important to make a pretreatment differentiation between benign renal mass and malignant tumor. We aimed to develop a deep learning model that distinguishes benign renal tumors from renal cell carcinoma (RCC) by applying a residual convolutional neural network (ResNet) on routine MR imaging. Experimental Design: Preoperative MR images (T2-weighted and T1-postcontrast sequences) of 1,162 renal lesions definitely diagnosed on pathology or imaging in a multicenter cohort were divided into training, validation, and test sets (70:20:10 split). An ensemble model based on ResNet was built combining clinical variables and T1C and T2WI MR images using a bagging classifier to predict renal tumor pathology. Final model performance was compared with expert interpretation and the most optimized radiomics model. Results: Among the 1,162 renal lesions, 655 were malignant and 507 were benign. Compared with a baseline zero rule algorithm, the ensemble deep learning model had a statistically significant higher test accuracy (0.70 vs. 0.56, P = 0.004). Compared with all experts averaged, the ensemble deep learning model had higher test accuracy (0.70 vs. 0.60, P = 0.053), sensitivity (0.92 vs. 0.80, P = 0.017), and specificity (0.41 vs. 0.35, P = 0.450). Compared with the radiomics model, the ensemble deep learning model had higher test accuracy (0.70 vs. 0.62, P = 0.081), sensitivity (0.92 vs. 0.79, P = 0.012), and specificity (0.41 vs. 0.39, P = 0.770). Conclusions: Deep learning can noninvasively distinguish benign renal tumors from RCC using conventional MR imaging in a multi-institutional dataset with good accuracy, sensitivity, and specificity comparable with experts and radiomics.
Burden of injury along the development spectrum: associations between the Socio-demographic Index and disability-adjusted life year estimates from the Global Burden of Disease Study 2017
Haagsma, Juanita A. , James, Spencer L , Castle, Chris D, Dingels, Zachary V, Fox, Jack T, Hamilton, Erin B, Lucchesi, Lydia R , Sylte, Dillon O , Adebayo, Oladimeji , Ahmadi, Alireza , Aichour, Miloud Taki Eddine, Alahdab, Fares , Al‐Raddadi, Rajaa , Alsharif, Ubai , Altirkawi, Khalid A , Anjomshoa, Mina, Appiah, Seth Christopher Yaw , Aremu, Olatunde , Arora, Amit , Assadi, Reza , Awasthi, Ashish , Quintanilla, Beatriz Paulina Ayala , Balalla, Shivanthi , Banstola, Amrit , Barker‐Collo, Suzanne , Bärnighausen, Till , Behzadifar, Meysam, Bennett, Derrick , Bhaumik, Soumyadeep , Bhutta, Zulfiqar A , Bijani, Ali , Borges, Guilherme , Borschmann, Rohan , Bose, Dipan, Bražinová, Alexandra, Campuzano, Julio César , Cárdenas, Rosario , Carvalho, Félix , Castañeda-Orjuela, Carlos A , Catalá-López, Ferrán , Choi, Jee-Young Jasmine , Christopher, Devasahayam Jesudas , Crowe, Christopher S. , Dalal, Koustuv , Leo, Diego De, Neve, Jan‐Walter De , Deribe, Kebede , Dessie, Getenet , deVeber, Gabrielle , Dharmaratne, Samath Dhamminda , Doan, Linh Phuong , Driscoll, Tim , El‐Khatib, Ziad , Ellingsen, Christian Lycke , Endries, Aman Yesuf , Faro, André , Fereshtehnejad, Seyed‐Mohammad , Fernandes, Eduarda , Fischer, Florian , Franklin, Richard C. , Fukumoto, Takeshi , Gezae, Kebede Embaye , Gill, Tiffany K, Goulart, Alessandra C. , Grada, Ayman , Guo, Yuming , Haghparast‐Bidgoli, Hassan , Haj‐Mirzaian, Arvin , Haj‐Mirzaian, Arya , Hamadeh, Randah R , Hassen, Hamid Yimam , Havmoeller, Rasmus, Henok, Andualem , Hı́jar, Martha, Hole, Michael K., Rad, Enayatollah Homaie , Hossain, Naznin , Hostiuc, Sorin , Igumbor, Ehimario , Irvani, Seyed Sina Naghibi , Islam, Sheikh Mohammed Shariful , Ivers, Rebecca , Jacobsen, Kathryn H. , Jahanmehr, Nader , Jakovljević, Mihajlo , Jha, Ravi Prakash , Shushtari, Zahra Jorjoran , Jozwiak, Jacek Jerzy , Jürisson, Mikk , Kalani, Rizwan, Kasaeian, Amir , Kelbore, Abraham Getachew , Kengne, André Pascal , Khader, Yousef , Khafaie, Morteza Abdullatif , Khalid, Nauman , Khan, Ejaz Ahmad , Kiadaliri, Ali , Kim, Yun Jin , Kısa, Adnan , Defo, Barthélémy Kuate , Biçer, Burcu Küçük , Kumar, Manasi , Lalloo, Ratilal , Lam, Hilton Y. , Lami, Faris , Leasher, Janet L , Li, Shanshan , Linn, Shai , Lunevičius, Raimundas , Machado, Flávia Ribeiro , Razek, Hassan Magdy Abd El , Razek, Muhammed Magdy Abd El, Mahotra, Narayan Bahadur , Majdán, Marek , Majeed, Azeem , Malekzadeh, Reza, Malik, Manzoor Ahmad , Manda, Ana-Laura, Massenburg, Benjamin B. , Maulik, Pallab K , Meheretu, Hailemariam Abiy Alemu , Mehndiratta, Man Mohan, Mendoza, Walter, Mengesha, Melkamu Merid , Meretoja, Tuomo J , Meretoja, Atte , Miazgowski, Tomasz , Miller, Ted R. , Mini, GK , Мirrakhimov, Erkin М , Moazen, Babak , Mezerji, Naser Mohammad Gholi, Mohammadibakhsh, Roghayeh , Mohammed, Shafiu , Molokhia, Mariam , Monasta, Lorenzo , Mondello, Stefania , Montero-Zamora, Pablo A. , Moodley, Yoshan , Moosazadeh, Mahmood , Moradi, Ghobad , Morawska, Lídia , Velásquez, Ilais Moreno , Moschos, Marilita M. , Mousavi, Seyyed Meysam , Murthy, Srinivas , Musa, Kamarul Imran , Naik, Gurudatta , Nangia, Vinay, Nascimento, Bruno Ramos , Ndwandwe, Duduzile , Negoi, Ionuţ , Nguyen, Son Hoang , Nguyen, Long Hoang , Ningrum, Dina Nur Anggraini , Nirayo, Yirga Legesse, Ofori‐Asenso, Richard , Ogbo, Felix Akpojene , Oladimeji, Olanrewaju , Olagunju, Andrew T , Olagunju, Tinuke O , Orpana, Heather , Otstavnov, Stanislav S , Mahesh, P A , Pakhalé, Smita , Park, Eun‐Kee , Pesudovs, Konrad , Polinder, Suzanne , Prakash, Swayam , Rafay, Anwar, Rafiei, Alireza , Rahimi, Siavash , Rahimi‐Movaghar, Vafa , Rahman, Muhammad Aziz , Kumar, Rajesh , Ramezanzadeh, Kiana, Rawaf, David Laith , Renzaho, André M. N. , Resnikoff, Serge , Roever, Leonardo , Sabde, Yogesh , Saddik, Basema , Salamati, Payman , Salimi, Yahya , Salz, Inbal, Samy, Abdallah M , Sanabria, Juan , Sànchez-Riera, Lídia , Santric-Milicevic, Milena M , Satpathy, Maheswar , Sawhney, Monika, Sawyer, Susan M. , Şaylan, Mete , Schwebel, David C. , Seedat, Soraya , Shaikh, Masood Ali, Shams-Beyranvand, Mehran , Shamsizadeh, Morteza , Sharif-Alhoseini, Mahdi , Sheikh, Aziz , Shigematsu, Mika, Shiri, Rahman , Shiue, Ivy , Silva, João Pedro , Sinha, Dhirendra Narain , Filho, Adauto Martins Soares , Soriano, Joan B. , Soshnikov, Sergey , Soyiri, Ireneous N , Starodubov, Vladimir I., Stein, Dan J. , Sufiyan, Mu’awiyyah Babale , Sunshine, Jacob E. , Sykes, Bryan L. , Tabarés‐Seisdedos, Rafael , Tabb, Karen M. , Tessema, Gizachew Assefa , Thakur, Jarnail Singh , Car, Lorainne Tudor , Uzochukwu, Benjamin, Valdéz, Pascual , Varavikova, Elena A. , Vasconcelos, Ana Maria Nogales , Violante, Francesco Saverio , Waheed, Yasir , Wang, Yuan‐Pang , Wijeratne, Tissa , Yadav, Priyanka , Yano, Yuichiro , Yenesew, Muluken Azage, Yisma, Engida , Younis, Mustafa Z , Zafar, Shamsa , Zaman, Sojib Bin , Zodpey, Sanjay , Hay, Simon I , Mokdad, Ali H. , Vos, Theo , Khubchandani, Jagdish , Padrón‐Monedero, Alicia , Wijeratne, T , Stein, Dan J , Islam, Sheikh Mohammed Shariful , Assadi, Reza , Rahman, Muhammad Aziz , Liu, Zichen, Roberts, Nicholas L S , Ahmed, Muktar Beshir , Alghnam, Suliman Abdullah , Aljunid, Syed Mohamed , Antonio, Carl Abelardo T. , Asayesh, Hamid , Bazargan‐Hejazi, Shahrzad , Bedi, Neeraj , Behzadifar, Masoud , Behzadifar, Meysam, Benjet, Corina L. , Benseñor, Isabela M. , Boufous, Soufiane , Carrero, Juan Jesús , Daryani, Ahmad , Daviţoiu, Dragoş Virgil , Degenhardt, Louisa J , Dolan, Kate A , Dubey, Manisha , Zaki, Maysaa El Sayed , Eskandarieh, Sharareh , Filip, Irina , Gill, Tiffany K. , Gupta, Rahul, Hamidi, Samer , Haro, Josep María , Hassankhani, Hadi , Hendrie, Delia V. , Hı́jar, Martha , Hu, Guoqing , Ilesanmi, Olayinka Stephen , Jayatilleke, Achala Upendra , Jonas, Jost B , Kabir, Ali , Kalani, Rizwan, Khoja, Abdullah T , Kim, Young‐Eun , Kim, Daniel , Koyanagi, Ai , Lansingh, Van Charles , Malta, Déborah Carvalho , Mansournia, Mohammad Alì , Melese, Addisu Dagnaw , Meštrović, Tomislav , Moradi‐Lakeh, Maziar , Morrison, Shane D. , Najafi, Farid , Nguyen, Trang Huyen , Nguyen, Huong Lan Thi , Oh, In‐Hwan , Olivares, Pedro Rufino , Patton, George , Phillips, Michael , Radfar, Amir , Rawaf, Salman , Rezaeian, Shahab , Ronfani, Luca , Roshandel, Gholamreza , Saxena, Sonia , Schneider, Ione Jayce Ceola , Sepanlou, Sadaf Ghajarieh , Shen, Jiabin , Singh, Jasvinder A. , Стародубов, В. И. , Stokes, Mark Andrew , Tehrani‐Banihashemi, Arash , Tran, Khanh Bao , Tran, Bach Xuan , Uthman, Olalekan Abdulrahman , Venketasubramanian, Narayanaswamy , Vlassov, Vasily , Winkler, Andrea Sylvia , Azage, Muluken , YIP, PAUL S. F. , Yonemoto, Naohiro , Yu, Chuanhua , Zaidi, Zoubida , Zamani, Mohammad , Zhao, Yong , Lopez, Alan D , Olagunju, Andrew T , Alahdab, Fares

Injury Prevention | January 9, 2020 | Volume: 26 | Issue: Suppl 2 | Pages: i12-i26

10.1136/injuryprev-2019-043296 | PMID 31915273 Get It

Background The epidemiological transition of non-communicable diseases replacing infectious diseases as the main contributors to disease burden has been well documented in global health literature. Less focus, however, has been given to the relationship between sociodemographic changes and injury. The aim of this study was to examine the association between disability-adjusted life years (DALYs) from injury for 195 countries and territories at different levels along the development spectrum between 1990 and 2017 based on the Global Burden of Disease (GBD) 2017 estimates. Methods Injury mortality was estimated using the GBD mortality database, corrections for garbage coding and CODEm—the cause of death ensemble modelling tool. Morbidity estimation was based on surveys and inpatient and outpatient data sets for 30 cause-of-injury with 47 nature-of-injury categories each. The Socio-demographic Index (SDI) is a composite indicator that includes lagged income per capita, average educational attainment over age 15 years and total fertility rate. Results For many causes of injury, age-standardised DALY rates declined with increasing SDI, although road injury, interpersonal violence and self-harm did not follow this pattern. Particularly for self-harm opposing patterns were observed in regions with similar SDI levels. For road injuries, this effect was less pronounced. Conclusions The overall global pattern is that of declining injury burden with increasing SDI. However, not all injuries follow this pattern, which suggests multiple underlying mechanisms influencing injury DALYs. There is a need for a detailed understanding of these patterns to help to inform national and global efforts to address injury-related health outcomes across the development spectrum.
Pathological findings in central nervous system demyelination associated with infliximab
Kalinowska, Alicja , Fereidan-Esfahani, Mahboobeh , Guo, Yong , Lucchinetti, Claudia F. , Tobin, W. Oliver , Kalinowska-Lyszczarz, Alicja, Tobin, W Oliver , Kalinowska-Lyszczarz, Alicja , Guo, Yong

Multiple Sclerosis Journal | December 17, 2019 | Volume: 26 | Issue: 9 | Pages: 1124-1129

10.1177/1352458519894710 | PMID 31845616 Get It

Background: Tumor necrosis factor alpha (TNF-alpha) inhibitors, such as infliximab, are commonly used to treat rheumatoid arthritis (RA) and other immune-mediated disorders. Objective: To determine whether infliximab-associated central nervous system (CNS) demyelination can be differentiated from multiple sclerosis (MS). Methods: We present a case of pathologically proven CNS demyelination in a patient treated with infliximab and describe clinical–radiographic–neuropathological findings. Putative mechanisms of TNF-alpha inhibitor-associated CNS demyelination are described. Results and conclusion: Infliximab treatment is associated with CNS inflammatory demyelinating activity, which is histopathologically indistinguishable from MS.
Utility of 30-Day Continuous Ambulatory Monitoring to Identify Patients With Delayed Occurrence of Atrioventricular Block After Transcatheter Aortic Valve Replacement
Tian, Ying , Padmanabhan, Deepak , Xiao, Peilin, Sandhu, Gurpreet S. , Greason, Kevin L. , Gulati, Rajiv , Rihal, Charanjit S. , Polk, Lynn, Sanvick, Carrie, Liu, Xing-Peng , Friedman, Paul A. , Cha, Yong‐Mei , Polk, Lynn E, McLeod, Christopher J. , Zhang, Pei , Nkomo, Vuyisile T. , Rihal, Charanjit S. , Sanvick, Carrie

Circulation: Cardiovascular Interventions | December 13, 2019 | Volume: 12 | Issue: 12 | Pages: No page available

10.1161/circinterventions.118.007635 | PMID 31833417 Get It

Background: Mechanical injury in the conduction system requiring permanent pacemaker (PPM) associated with transcatheter aortic valve replacement (TAVR) procedure is a common complication. The objective of this study was to use ambulatory monitor BodyGuardian to assess late occurrence of atrioventricular block (AVB) after TAVR. Methods: This prospective study evaluated 365 patients who underwent TAVR at Mayo Clinic, Rochester, Minnesota between June 2016 and August 2017. Patients who received PPM for bradycardia after TAVR before discharge were considered as the PPM group. Those not requiring PPM received a BodyGuardian system (BodyGuardian group) for 30 days of continuous monitoring. Primary end point was Mobitz II or third-degree atrioventricular block (II/III AVB) at 30-day follow-up. Results: Of 365 patients, 74 who had a PPM or an implantable cardioverter-defibrillator before TAVR and 94 who were enrolled in other studies were excluded. Of 197 patients enrolled in the study, 70 (35.5%) received PPM and 127 had BodyGuardian before the hospital dismissal. Eleven of 127 (8.6%) BodyGuardian group required PPM within 30 days after TAVR for late occurrence of symptomatic bradycardia. In total, 33 of 197 (16.7%) patients developed II/III AVB (24 before and 9 after discharge). Thirty-four patients had preexisting right bundle branch block. Of them, 16 (47%) developed II/III AVB. Of 53 patients who developed new left bundle branch block after TAVR, 14% progressed to II/III AVB within 30 days. Conclusions: In patients without a standard post-TAVR pacing indication, yet a potential risk to develop AVB, a strategy of 30-day monitoring identifies additional patients who require permanent pacing.
Obesity and metabolic health status are determinants for the clinical expression of hypertrophic cardiomyopathy
Park, Jun‐Bean , Lee, Heesun , Yoon, Yeonyee E. , Park, Hyo Eun , Choi, Su‐Yeon , Kim, Yong-Jin , Ommen, Steve R. , Kim, Hyung‐Kwan , Kim, Hyung-Kwan , Kim, Dahye , Hwang, In‐Chang , Yoon, Yeonyee Elizabeth , Cho, Goo‐Yeong , Han, Kyungdo

European Journal of Preventive Cardiology | December 2, 2019 | Volume: 27 | Issue: 17 | Pages: 1849-1857

10.1177/2047487319889714 | PMID 31787021 Get It

Aims We sought to investigate the association of obesity and metabolic health status with the incidence of clinical hypertrophic cardiomyopathy (HCM) diagnosis in the general population. Our goal was to identify modifiable risk factors to attenuate clinical expression of HCM, enabling management evolution from a mostly passive strategy of risk stratification to a proactive strategy of modifying disease expression. Methods Using nationwide population-based data from the Korean National Health Insurance Service, 28,679,891 people who were free of prevalent HCM and who underwent health examinations between 2009 and 2015 were followed until 31 December 2016. The primary outcome was clinical HCM that was defined as incident diagnosis of HCM during the follow-up, after a blanking period of 12 months. Results Over a median follow-up of 5.2 years, 0.027% (n = 7851) of the study participants were diagnosed as incident HCM. The incidence rate per 1000 person-years was 0.059. A significant association was found between body mass index (BMI) and the incidence of clinical HCM after multivariate adjustment, with a hazard ratio per 1 kg/m2 increase in BMI of 1.063 (95% confidence interval 1.051–1.075). Metabolically unhealthy participants had a greater incidence of HCM than metabolically healthy participants, regardless of obesity status. The effect of BMI was more pronounced in several subgroups, including participants with no hypertension, those aged less than 65 years and men. Conclusion We found that individuals with obesity and/or metabolic abnormalities had a significantly higher incidence of clinical HCM diagnosis than their counterparts. Efforts to manage obesity and metabolic abnormalities may be important in modifying clinical expression of HCM.
Comparison of Disease-related Knowledge of Patients With Inflammatory Bowel Disease Between the West and the East Using an Updated Questionnaire (IBD-KNOW)
Kim, Jin Yong , Yoon, Hyuk , Hwang, Jun Seong , Yang, Suk‐Kyun , Park, Sang Hyoung , Loftus, Edward V. , Loftus, Edward V

Journal of Clinical Gastroenterology | November 25, 2019 | Volume: 54 | Issue: 8 | Pages: 720-724

10.1097/mcg.0000000000001283 | PMID 31764490 Get It

Goals: The study aimed to compare the level and characteristics of disease-related knowledge of patients with inflammatory bowel disease (IBD) between the West and the East using an international version of a questionnaire regarding knowledge of inflammatory bowel disease (IBD-KNOW). Background: The authors recently developed a new questionnaire regarding IBD-KNOW, which showed excellent test characteristics in Korea. Study: The IBD-KNOW questionnaire was administered to 100 patients with IBD from tertiary referral hospitals in the United States and Korea. Scores were calculated and compared between US and Korean patients, and factors associated with high scores were analyzed. Results: A total of 196 (100 US and 96 Korean) patients with IBD completed the questionnaires. Analysis of the baseline characteristics revealed that male sex, smoking status, disease duration, history of IBD-related operations, family history of IBD, and use of corticosteroids or biologics were significantly different between US and Korean patients. The mean IBD-KNOW score was higher in US patients than in Korean patients (14.8 vs. 11.3; P<0.001). Multivariate analyses showed that a high IBD-KNOW score (top 25%) was associated with a positive family history of IBD (odds ratio, 2.90; P=0.025) in US patients with IBD and with the use of biologics (odds ratio, 3.65; P=0.008) in Korean patients with IBD. Conclusions: The IBD-KNOW questionnaire, an updated assessment tool of IBD-related knowledge, is simple, reliable, and available in various patient populations. IBD-KNOW can be used to identify the factors affecting the level of IBD-related knowledge to improve the quality of care in patients with IBD through a personalized approach.
Dichotomous regulation of group 3 innate lymphoid cells by nongastric Helicobacter species
Bostick, John W. , Shen, Zeli , Ge, Yong, Brown, Jeffrey B. , Chen, Zong-ming E., Mohamadzadeh, Mansour , Fox, James G. , Zhou, Liang , Wang, Yetao , Ge, Yong

Proceedings of the National Academy of Sciences | November 18, 2019 | Volume: 116 | Issue: 49 | Pages: 24760-24769

10.1073/pnas.1908128116 | PMID 31740609 Get It

Intestinal innate lymphoid cells (ILCs) contribute to the protective immunity and homeostasis of the gut, and the microbiota are critically involved in shaping ILC function. However, the role of the gut microbiota in regulating ILC development and maintenance still remains elusive. Here, we identified opposing effects on ILCs by two Helicobacter species, Helicobacter apodemus and Helicobacter typhlonius , isolated from immunocompromised mice. We demonstrated that the introduction of both Helicobacter species activated ILCs and induced gut inflammation; however, these Helicobacter species negatively regulated RORγt + group 3 ILCs (ILC3s), especially T-bet + ILC3s, and diminished their proliferative capacity. Thus, these findings underscore a previously unknown dichotomous regulation of ILC3s by Helicobacter species, and may serve as a model for further investigations to elucidate the host–microbe interactions that critically sustain the maintenance of intestinal ILC3s.
Imaging Findings of Ileal Inflammation at Computed Tomography and Magnetic Resonance Enterography: What do They Mean When Ileoscopy and Biopsy are Negative?
Nehra, Avinash , Sheedy, Shannon P. , Wells, Michael , VanBuren, Wendaline M. , Deepak, Parakkal , Lee, Yong S. , Bruining, David H. , Fletcher, Joel G. , Nehra, Avinash K, Wells, Michael L, Hansel, Stephanie L. , Fletcher, Joel G , Deepak, Parakkal

Journal of Crohn's and Colitis | October 25, 2019 | Volume: 14 | Issue: 4 | Pages: 455-464

10.1093/ecco-jcc/jjz122 | PMID 31960900 Get It

Abstract Background and Aims Our goal was to determine the importance of ileal inflammation at computed tomography or magnetic resonance enterography in Crohn’s disease patients with normal ileoscopy. Methods Patients with negative ileoscopy and biopsy within 30 days of CT or MR enterography showing ileal inflammation were included. The severity [0–3 scale] and length of inflammation within the distal 20 cm of the terminal ileum were assessed on enterography. Subsequent medical records were reviewed for ensuing surgery, ulceration at ileoscopy, histological inflammation, or new or worsening ileal inflammation or stricture on enterography. Imaging findings were classified as: Confirmed Progression [subsequent surgery or radiological worsening, new ulcers at ileoscopy or positive histology]; Radiologic Response [decreased inflammation with medical therapy]; or Unlikely/Unconfirmed Inflammation. Results Of 1471 patients undergoing enterography and ileoscopy, 112 [8%] had imaging findings of inflammation with negative ileoscopy, and 88 [6%] had negative ileoscopy and ileal biopsy. Half [50%; 44/88] with negative biopsy had moderate/severe inflammation at enterography, with 45%, 32% and 11% having proximal small bowel inflammation, stricture or fistulas, respectively. Two-thirds with negative biopsy [67%; 59/88] had Confirmed Progression, with 68%, 70% and 61% having subsequent surgical resection, radiological worsening or ulcers at subsequent ileoscopy, respectively. Mean length and severity of ileal inflammation in these patients was 10 cm and 1.6. Thirteen [15%] patients had Radiologic Response, and 16 [18%] had Unlikely/Unconfirmed Inflammation. Conclusion Crohn’s disease patients with unequivocal imaging findings of ileal inflammation at enterography despite negative ileoscopy and biopsy are likely to have active inflammatory Crohn’s disease. Disease detected by imaging may worsen over time or respond to medical therapy.