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21 results on '"Sotoudeh, Houman"'

1. Burden of Ischemic and Hemorrhagic Stroke Across the US From 1990 to 2019

Author

Renedo, Daniela, Acosta, Julian N., Leasure, Audrey C., Sharma, Richa, Krumholz, Harlan M., de Havenon, Adam, Alahdab, Fares, Aravkin, Aleksandr Y., Aryan, Zahra, Bärnighausen, Till Winfried, Basu, Sanjay, Burkart, Katrin, Coberly, Kaleb, Criqui, Michael H., Dai, Xiaochen, Desai, Rupak, Dharmaratne, Samath Dhamminda, Doshi, Rajkumar, Elgendy, Islam Y., Feigin, Valery L., Filip, Irina, Gad, Mohamed M., Ghozy, Sherief, Hafezi-Nejad, Nima, Kalani, Rizwan, Karaye, Ibraheem M., Kisa, Adnan, Krishnamoorthy, Vijay, Lo, Warren, Mestrovic, Tomislav, Miller, Ted R., Misganaw, Awoke, Mokdad, Ali H., Murray, Christopher J. L., Natto, Zuhair S., Radfar, Amir, Ram, Pradhum, Roth, Gregory A., Seylani, Allen, Shah, Nilay S., Sharma, Purva, Sheikh, Aziz, Singh, Jasvinder A., Song, Suhang, Sotoudeh, Houman, Vervoort, Dominique, Wang, Cong, Xiao, Hong, Xu, Suowen, Zand, Ramin, Falcone, Guido J., and Sheth, Kevin N.

Abstract

IMPORTANCE: Stroke is a leading cause of death and disability in the US. Accurate and updated measures of stroke burden are needed to guide public health policies. OBJECTIVE: To present burden estimates of ischemic and hemorrhagic stroke in the US in 2019 and describe trends from 1990 to 2019 by age, sex, and geographic location. DESIGN, SETTING, AND PARTICIPANTS: An in-depth cross-sectional analysis of the 2019 Global Burden of Disease study was conducted. The setting included the time period of 1990 to 2019 in the US. The study encompassed estimates for various types of strokes, including all strokes, ischemic strokes, intracerebral hemorrhages (ICHs), and subarachnoid hemorrhages (SAHs). The 2019 Global Burden of Disease results were released on October 20, 2020. EXPOSURES: In this study, no particular exposure was specifically targeted. MAIN OUTCOMES AND MEASURES: The primary focus of this analysis centered on both overall and age-standardized estimates, stroke incidence, prevalence, mortality, and DALYs per 100 000 individuals. RESULTS: In 2019, the US recorded 7.09 million prevalent strokes (4.07 million women [57.4%]; 3.02 million men [42.6%]), with 5.87 million being ischemic strokes (82.7%). Prevalence also included 0.66 million ICHs and 0.85 million SAHs. Although the absolute numbers of stroke cases, mortality, and DALYs surged from 1990 to 2019, the age-standardized rates either declined or remained steady. Notably, hemorrhagic strokes manifested a substantial increase, especially in mortality, compared with ischemic strokes (incidence of ischemic stroke increased by 13% [95% uncertainty interval (UI), 14.2%-11.9%]; incidence of ICH increased by 39.8% [95% UI, 38.9%-39.7%]; incidence of SAH increased by 50.9% [95% UI, 49.2%-52.6%]). The downturn in stroke mortality plateaued in the recent decade. There was a discernible heterogeneity in stroke burden trends, with older adults (50-74 years) experiencing a decrease in incidence in coastal areas (decreases up to 3.9% in Vermont), in contrast to an uptick observed in younger demographics (15-49 years) in the South and Midwest US (with increases up to 8.4% in Minnesota). CONCLUSIONS AND RELEVANCE: In this cross-sectional study, the declining age-standardized stroke rates over the past 3 decades suggest progress in managing stroke-related outcomes. However, the increasing absolute burden of stroke, coupled with a notable rise in hemorrhagic stroke, suggests an evolving and substantial public health challenge in the US. Moreover, the significant disparities in stroke burden trends across different age groups and geographic locations underscore the necessity for region- and demography-specific interventions and policies to effectively mitigate the multifaceted and escalating burden of stroke in the country.

Published
2024
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2. Diagnostic performance of MRI radiomics for classification of Alzheimer's disease, mild cognitive impairment, and normal subjects: a systematic review and meta-analysis.

Author

Shahidi, Ramin, Baradaran, Mansoureh, Asgarzadeh, Ali, Bagherieh, Sara, Tajabadi, Zohreh, Farhadi, Akram, Korani, Setayesh Sotoudehnia, Khalafi, Mohammad, Shobeiri, Parnian, Sadeghsalehi, Hamidreza, Shafieioun, Arezoo, Yazdanifar, Mohammad Amin, Singhal, Aparna, and Sotoudeh, Houman

Abstract

Background: Alzheimer's disease (AD) is a debilitating neurodegenerative disease. Early diagnosis of AD and its precursor, mild cognitive impairment (MCI), is crucial for timely intervention and management. Radiomics involves extracting quantitative features from medical images and analyzing them using advanced computational algorithms. These characteristics have the potential to serve as biomarkers for disease classification, treatment response prediction, and patient stratification. Of note, Magnetic resonance imaging (MRI) radiomics showed a promising result for diagnosing and classifying AD, and MCI from normal subjects. Thus, we aimed to systematically evaluate the diagnostic performance of the MRI radiomics for this task. Methods and materials: A comprehensive search of the current literature was conducted using relevant keywords in PubMed/MEDLINE, Embase, Scopus, and Web of Science databases from inception to August 5, 2023. Original studies discussing the diagnostic performance of MRI radiomics for the classification of AD, MCI, and normal subjects were included. Method quality was evaluated with the Quality Assessment of Diagnostic Accuracy Studies (QUADAS-2) and the Radiomics Quality Score (RQS) tools. Results: We identified 13 studies that met the inclusion criteria, involving a total of 5448 participants. The overall quality of the included studies was moderate to high. The pooled sensitivity and specificity of MRI radiomics for differentiating AD from normal subjects were 0.92 (95% CI [0.85; 0.96]) and 0.91 (95% CI [0.85; 0.95]), respectively. The pooled sensitivity and specificity of MRI radiomics for differentiating MCI from normal subjects were 0.74 (95% CI [0.60; 0.85]) and 0.79 (95% CI [0.70; 0.86]), respectively. Also, the pooled sensitivity and specificity of MRI radiomics for differentiating AD from MCI were 0.73 (95% CI [0.64; 0.80]) and 0.79 (95% CI [0.64; 0.90]), respectively. Conclusion: MRI radiomics has promising diagnostic performance in differentiating AD, MCI, and normal subjects. It can potentially serve as a non-invasive and reliable tool for early diagnosis and classification of AD and MCI. [ABSTRACT FROM AUTHOR]

Published
2023
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3. Diagnostic performance of MRI radiomics for classification of Alzheimer's disease, mild cognitive impairment, and normal subjects: a systematic review and meta-analysis

Author

Shahidi, Ramin, Baradaran, Mansoureh, Asgarzadeh, Ali, Bagherieh, Sara, Tajabadi, Zohreh, Farhadi, Akram, Korani, Setayesh Sotoudehnia, Khalafi, Mohammad, Shobeiri, Parnian, Sadeghsalehi, Hamidreza, Shafieioun, Arezoo, Yazdanifar, Mohammad Amin, Singhal, Aparna, and Sotoudeh, Houman

Abstract

Background: Alzheimer's disease (AD) is a debilitating neurodegenerative disease. Early diagnosis of AD and its precursor, mild cognitive impairment (MCI), is crucial for timely intervention and management. Radiomics involves extracting quantitative features from medical images and analyzing them using advanced computational algorithms. These characteristics have the potential to serve as biomarkers for disease classification, treatment response prediction, and patient stratification. Of note, Magnetic resonance imaging (MRI) radiomics showed a promising result for diagnosing and classifying AD, and MCI from normal subjects. Thus, we aimed to systematically evaluate the diagnostic performance of the MRI radiomics for this task. Methods and materials: A comprehensive search of the current literature was conducted using relevant keywords in PubMed/MEDLINE, Embase, Scopus, and Web of Science databases from inception to August 5, 2023. Original studies discussing the diagnostic performance of MRI radiomics for the classification of AD, MCI, and normal subjects were included. Method quality was evaluated with the Quality Assessment of Diagnostic Accuracy Studies (QUADAS-2) and the Radiomics Quality Score (RQS) tools. Results: We identified 13 studies that met the inclusion criteria, involving a total of 5448 participants. The overall quality of the included studies was moderate to high. The pooled sensitivity and specificity of MRI radiomics for differentiating AD from normal subjects were 0.92 (95% CI [0.85; 0.96]) and 0.91 (95% CI [0.85; 0.95]), respectively. The pooled sensitivity and specificity of MRI radiomics for differentiating MCI from normal subjects were 0.74 (95% CI [0.60; 0.85]) and 0.79 (95% CI [0.70; 0.86]), respectively. Also, the pooled sensitivity and specificity of MRI radiomics for differentiating AD from MCI were 0.73 (95% CI [0.64; 0.80]) and 0.79 (95% CI [0.64; 0.90]), respectively. Conclusion: MRI radiomics has promising diagnostic performance in differentiating AD, MCI, and normal subjects. It can potentially serve as a non-invasive and reliable tool for early diagnosis and classification of AD and MCI.

Published
2023
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4. The global burden of cancer attributable to risk factors, 2010–19: a systematic analysis for the Global Burden of Disease Study 2019

Author

Tran, Khanh Bao, Lang, Justin J, Compton, Kelly, Xu, Rixing, Acheson, Alistair R, Henrikson, Hannah Jacqueline, Kocarnik, Jonathan M, Penberthy, Louise, Aali, Amirali, Abbas, Qamar, Abbasi, Behzad, Abbasi-Kangevari, Mohsen, Abbasi-Kangevari, Zeinab, Abbastabar, Hedayat, Abdelmasseh, Michael, Abd-Elsalam, Sherief, Abdelwahab, Ahmed Abdelwahab, Abdoli, Gholamreza, Abdulkadir, Hanan Abdulkadir, Abedi, Aidin, Abegaz, Kedir Hussein, Abidi, Hassan, Aboagye, Richard Gyan, Abolhassani, Hassan, Absalan, Abdorrahim, Abtew, Yonas Derso, Abubaker Ali, Hiwa, Abu-Gharbieh, Eman, Achappa, Basavaprabhu, Acuna, Juan Manuel, Addison, Daniel, Addo, Isaac Yeboah, Adegboye, Oyelola A, Adesina, Miracle Ayomikun, Adnan, Mohammad, Adnani, Qorinah Estiningtyas Sakilah, Advani, Shailesh M, Afrin, Sumia, Afzal, Muhammad Sohail, Aggarwal, Manik, Ahinkorah, Bright Opoku, Ahmad, Araz Ramazan, Ahmad, Rizwan, Ahmad, Sajjad, Ahmad, Sohail, Ahmadi, Sepideh, Ahmed, Haroon, Ahmed, Luai A, Ahmed, Muktar Beshir, Ahmed Rashid, Tarik, Aiman, Wajeeha, Ajami, Marjan, Akalu, Gizachew Taddesse, Akbarzadeh-Khiavi, Mostafa, Aklilu, Addis, Akonde, Maxwell, Akunna, Chisom Joyqueenet, Al Hamad, Hanadi, Alahdab, Fares, Alanezi, Fahad Mashhour, Alanzi, Turki M, Alessy, Saleh Ali, Algammal, Abdelazeem M, Al-Hanawi, Mohammed Khaled, Alhassan, Robert Kaba, Ali, Beriwan Abdulqadir, Ali, Liaqat, Ali, Syed Shujait, Alimohamadi, Yousef, Alipour, Vahid, Aljunid, Syed Mohamed, Alkhayyat, Motasem, Al-Maweri, Sadeq Ali Ali, Almustanyir, Sami, Alonso, Nivaldo, Alqalyoobi, Shehabaldin, Al-Raddadi, Rajaa M, Al-Rifai, Rami H Hani, Al-Sabah, Salman Khalifah, Al-Tammemi, Ala'a B, Altawalah, Haya, Alvis-Guzman, Nelson, Amare, Firehiwot, Ameyaw, Edward Kwabena, Aminian Dehkordi, Javad Javad, Amirzade-Iranaq, Mohammad Hosein, Amu, Hubert, Amusa, Ganiyu Adeniyi, Ancuceanu, Robert, Anderson, Jason A, Animut, Yaregal Animut, Anoushiravani, Amir, Anoushirvani, Ali Arash, Ansari-Moghaddam, Alireza, Ansha, Mustafa Geleto, Antony, Benny, Antwi, Maxwell Hubert, Anwar, Sumadi Lukman, Anwer, Razique, Anyasodor, Anayochukwu Edward, Arabloo, Jalal, Arab-Zozani, Morteza, Aremu, Olatunde, Argaw, Ayele Mamo, Ariffin, Hany, Aripov, Timur, Arshad, Muhammad, Artaman, Al, Arulappan, Judie, Aruleba, Raphael Taiwo, Aryannejad, Armin, Asaad, Malke, Asemahagn, Mulusew A, Asemi, Zatollah, Asghari-Jafarabadi, Mohammad, Ashraf, Tahira, Assadi, Reza, Athar, Mohammad, Athari, Seyyed Shamsadin, Atout, Maha Moh'd Wahbi, Attia, Sameh, Aujayeb, Avinash, Ausloos, Marcel, Avila-Burgos, Leticia, Awedew, Atalel Fentahun, Awoke, Mamaru Ayenew, Awoke, Tewachew, Ayala Quintanilla, Beatriz Paulina, Ayana, Tegegn Mulatu, Ayen, Solomon Shitu, Azadi, Davood, Azadnajafabad, Sina, Azami-Aghdash, Saber, Azanaw, Melkalem Mamuye, Azangou-Khyavy, Mohammadreza, Azari Jafari, Amirhossein, Azizi, Hosein, Azzam, Ahmed Y Y, Babajani, Amirhesam, Badar, Muhammad, Badiye, Ashish D, Baghcheghi, Nayereh, Bagheri, Nader, Bagherieh, Sara, Bahadory, Saeed, Baig, Atif Amin, Baker, Jennifer L, Bakhtiari, Ahad, Bakshi, Ravleen Kaur, Banach, Maciej, Banerjee, Indrajit, Bardhan, Mainak, Barone-Adesi, Francesco, Barra, Fabio, Barrow, Amadou, Bashir, Nasir Z, Bashiri, Azadeh, Basu, Saurav, Batiha, Abdul-Monim Mohammad, Begum, Aeysha, Bekele, Alehegn Bekele, Belay, Alemayehu Sayih, Belete, Melaku Ashagrie, Belgaumi, Uzma Iqbal, Bell, Arielle Wilder, Belo, Luis, Benzian, Habib, Berhie, Alemshet Yirga, Bermudez, Amiel Nazer C, Bernabe, Eduardo, Bhagavathula, Akshaya Srikanth, Bhala, Neeraj, Bhandari, Bharti Bhandari, Bhardwaj, Nikha, Bhardwaj, Pankaj, Bhattacharyya, Krittika, Bhojaraja, Vijayalakshmi S, Bhuyan, Soumitra S, Bibi, Sadia, Bilchut, Awraris Hailu, Bintoro, Bagas Suryo, Biondi, Antonio, Birega, Mesfin Geremaw Birega, Birhan, Habitu Eshetu, Bjørge, Tone, Blyuss, Oleg, Bodicha, Belay Boda Abule, Bolla, Srinivasa Rao, Boloor, Archith, Bosetti, Cristina, Braithwaite, Dejana, Brauer, Michael, Brenner, Hermann, Briko, Andrey Nikolaevich, Briko, Nikolay Ivanovich, Buchanan, Christina Maree, Bulamu, Norma B, Bustamante-Teixeira, Maria Teresa, Butt, Muhammad Hammad, Butt, Nadeem Shafique, Butt, Zahid A, Caetano dos Santos, Florentino Luciano, Cámera, Luis Alberto, Cao, Chao, Cao, Yin, Carreras, Giulia, Carvalho, Márcia, Cembranel, Francieli, Cerin, Ester, Chakraborty, Promit Ananyo, Charalampous, Periklis, Chattu, Vijay Kumar, Chimed-Ochir, Odgerel, Chirinos-Caceres, Jesus Lorenzo, Cho, Daniel Youngwhan, Cho, William C S, Christopher, Devasahayam J, Chu, Dinh-Toi, Chukwu, Isaac Sunday, Cohen, Aaron J, Conde, Joao, Cortés, Sandra, Costa, Vera Marisa, Cruz-Martins, Natália, Culbreth, Garland T, Dadras, Omid, Dagnaw, Fentaw Teshome, Dahlawi, Saad M A, Dai, Xiaochen, Dandona, Lalit, Dandona, Rakhi, Daneshpajouhnejad, Parnaz, Danielewicz, Anna, Dao, An Thi Minh, Darvishi Cheshmeh Soltani, Reza, Darwesh, Aso Mohammad, Das, Saswati, Davitoiu, Dragos Virgil, Davtalab Esmaeili, Elham, De la Hoz, Fernando Pio, Debela, Sisay Abebe, Dehghan, Azizallah, Demisse, Biniyam, Demisse, Fitsum Wolde, Denova-Gutiérrez, Edgar, Derakhshani, Afshin, Derbew Molla, Meseret, Dereje, Diriba, Deribe, Kalkidan Solomon, Desai, Rupak, Desalegn, Markos Desalegn, Dessalegn, Fikadu Nugusu, Dessalegni, Samuel Abebe A, Dessie, Gashaw, Desta, Abebaw Alemayehu, Dewan, Syed Masudur Rahman, Dharmaratne, Samath Dhamminda, Dhimal, Meghnath, Dianatinasab, Mostafa, Diao, Nancy, Diaz, Daniel, Digesa, Lankamo Ena, Dixit, Shilpi Gupta, Doaei, Saeid, Doan, Linh Phuong, Doku, Paul Narh, Dongarwar, Deepa, dos Santos, Wendel Mombaque, Driscoll, Tim Robert, Dsouza, Haneil Larson, Durojaiye, Oyewole Christopher, Edalati, Sareh, Eghbalian, Fatemeh, Ehsani-Chimeh, Elham, Eini, Ebrahim, Ekholuenetale, Michael, Ekundayo, Temitope Cyrus, Ekwueme, Donatus U, El Tantawi, Maha, Elbahnasawy, Mostafa Ahmed, Elbarazi, Iffat, Elghazaly, Hesham, Elhadi, Muhammed, El-Huneidi, Waseem, Emamian, Mohammad Hassan, Engelbert Bain, Luchuo, Enyew, Daniel Berhanie, Erkhembayar, Ryenchindorj, Eshetu, Tegegne, Eshrati, Babak, Eskandarieh, Sharareh, Espinosa-Montero, Juan, Etaee, Farshid, Etemadimanesh, Azin, Eyayu, Tahir, Ezeonwumelu, Ifeanyi Jude, Ezzikouri, Sayeh, Fagbamigbe, Adeniyi Francis, Fahimi, Saman, Fakhradiyev, Ildar Ravisovich, Faraon, Emerito Jose A, Fares, Jawad, Farmany, Abbas, Farooque, Umar, Farrokhpour, Hossein, Fasanmi, Abidemi Omolara, Fatehizadeh, Ali, Fatima, Wafa, Fattahi, Hamed, Fekadu, Ginenus, Feleke, Berhanu Elfu, Ferrari, Allegra Allegra, Ferrero, Simone, Ferro Desideri, Lorenzo, Filip, Irina, Fischer, Florian, Foroumadi, Roham, Foroutan, Masoud, Fukumoto, Takeshi, Gaal, Peter Andras, Gad, Mohamed M, Gadanya, Muktar A, Gaipov, Abduzhappar, Galehdar, Nasrin, Gallus, Silvano, Garg, Tushar, Gaspar Fonseca, Mariana, Gebremariam, Yosef Haile, Gebremeskel, Teferi Gebru, Gebremichael, Mathewos Alemu, Geda, Yohannes Fikadu, Gela, Yibeltal Yismaw, Gemeda, Belete Negese Belete, Getachew, Melaku, Getachew, Motuma Erena, Ghaffari, Kazem, Ghafourifard, Mansour, Ghamari, Seyyed-Hadi, Ghasemi Nour, Mohammad, Ghassemi, Fariba, Ghimire, Ajnish, Ghith, Nermin, Gholamalizadeh, Maryam, Gholizadeh Navashenaq, Jamshid, Ghozy, Sherief, Gilani, Syed Amir, Gill, Paramjit Singh, Ginindza, Themba G, Gizaw, Abraham Tamirat T, Glasbey, James C, Godos, Justyna, Goel, Amit, Golechha, Mahaveer, Goleij, Pouya, Golinelli, Davide, Golitaleb, Mohamad, Gorini, Giuseppe, Goulart, Bárbara Niegia Garcia, Grosso, Giuseppe, Guadie, Habtamu Alganeh, Gubari, Mohammed Ibrahim Mohialdeen, Gudayu, Temesgen Worku, Guerra, Maximiliano Ribeiro, Gunawardane, Damitha Asanga, Gupta, Bhawna, Gupta, Sapna, Gupta, Veer Bala, Gupta, Vivek Kumar, Gurara, Mekdes Kondale, Guta, Alemu, Habibzadeh, Parham, Haddadi Avval, Atlas, Hafezi-Nejad, Nima, Hajj Ali, Adel, Haj-Mirzaian, Arvin, Halboub, Esam S, Halimi, Aram, Halwani, Rabih, Hamadeh, Randah R, Hameed, Sajid, Hamidi, Samer, Hanif, Asif, Hariri, Sanam, Harlianto, Netanja I, Haro, Josep Maria, Hartono, Risky Kusuma, Hasaballah, Ahmed I, Hasan, S M Mahmudul, Hasani, Hamidreza, Hashemi, Seyedeh Melika, Hassan, Abbas M, Hassanipour, Soheil, Hayat, Khezar, Heidari, Golnaz, Heidari, Mohammad, Heidarymeybodi, Zahra, Herrera-Serna, Brenda Yuliana, Herteliu, Claudiu, Hezam, Kamal, Hiraike, Yuta, Hlongwa, Mbuzeleni Mbuzeleni, Holla, Ramesh, Holm, Marianne, Horita, Nobuyuki, Hoseini, Mohammad, Hossain, Md Mahbub, Hossain, Mohammad Bellal Hossain, Hosseini, Mohammad-Salar, Hosseinzadeh, Ali, Hosseinzadeh, Mehdi, Hostiuc, Mihaela, Hostiuc, Sorin, Househ, Mowafa, Huang, Junjie, Hugo, Fernando N, Humayun, Ayesha, Hussain, Salman, Hussein, Nawfal R, Hwang, Bing-Fang, Ibitoye, Segun Emmanuel, Iftikhar, Pulwasha Maria, Ikuta, Kevin S, Ilesanmi, Olayinka Stephen, Ilic, Irena M, Ilic, Milena D, Immurana, Mustapha, Innos, Kaire, Iranpour, Pooya, Irham, Lalu Muhammad, Islam, Md Shariful, Islam, Rakibul M, Islami, Farhad, Ismail, Nahlah Elkudssiah, Isola, Gaetano, Iwagami, Masao, J, Linda Merin, Jaiswal, Abhishek, Jakovljevic, Mihajlo, Jalili, Mahsa, Jalilian, Shahram, Jamshidi, Elham, Jang, Sung-In, Jani, Chinmay T, Javaheri, Tahereh, Jayarajah, Umesh Umesh, Jayaram, Shubha, Jazayeri, Seyed Behzad, Jebai, Rime, Jemal, Bedru, Jeong, Wonjeong, Jha, Ravi Prakash, Jindal, Har Ashish, John-Akinola, Yetunde O, Jonas, Jost B, Joo, Tamas, Joseph, Nitin, Joukar, Farahnaz, Jozwiak, Jacek Jerzy, Jürisson, Mikk, Kabir, Ali, Kacimi, Salah Eddine Oussama, Kadashetti, Vidya, Kahe, Farima, Kakodkar, Pradnya Vishal, Kalankesh, Laleh R, Kalankesh, Leila R, Kalhor, Rohollah, Kamal, Vineet Kumar, Kamangar, Farin, Kamath, Ashwin, Kanchan, Tanuj, Kandaswamy, Eswar, Kandel, Himal, Kang, HyeJung, Kanno, Girum Gebremeskel, Kapoor, Neeti, Kar, Sitanshu Sekhar, Karanth, Shama D, Karaye, Ibraheem M, Karch, André, Karimi, Amirali, Kassa, Bekalu Getnet, Katoto, Patrick DMC, Kauppila, Joonas H, Kaur, Harkiran, Kebede, Abinet Gebremickael, Keikavoosi-Arani, Leila, Kejela, Gemechu Gemechu, Kemp Bohan, Phillip M, Keramati, Maryam, Keykhaei, Mohammad, Khajuria, Himanshu, Khan, Abbas, Khan, Abdul Aziz Khan, Khan, Ejaz Ahmad, Khan, Gulfaraz, Khan, Md Nuruzzaman, Khan, Moien AB, Khanali, Javad, Khatab, Khaled, Khatatbeh, Moawiah Mohammad, Khatib, Mahalaqua Nazli, Khayamzadeh, Maryam, Khayat Kashani, Hamid Reza, Khazeei Tabari, Mohammad Amin, Khezeli, Mehdi, Khodadost, Mahmoud, Kim, Min Seo, Kim, Yun Jin, Kisa, Adnan, Kisa, Sezer, Klugar, Miloslav, Klugarová, Jitka, Kolahi, Ali-Asghar, Kolkhir, Pavel, Kompani, Farzad, Koul, Parvaiz A, Koulmane Laxminarayana, Sindhura Lakshmi, Koyanagi, Ai, Krishan, Kewal, Krishnamoorthy, Yuvaraj, Kucuk Bicer, Burcu, Kugbey, Nuworza, Kulimbet, Mukhtar, Kumar, Akshay, Kumar, G Anil, Kumar, Narinder, Kurmi, Om P, Kuttikkattu, Ambily, La Vecchia, Carlo, Lahiri, Arista, Lal, Dharmesh Kumar, Lám, Judit, Lan, Qing, Landires, Iván, Larijani, Bagher, Lasrado, Savita, Lau, Jerrald, Lauriola, Paolo, Ledda, Caterina, Lee, Sang-woong, Lee, Shaun Wen Huey, Lee, Wei-Chen, Lee, Yeong Yeh, Lee, Yo Han, Legesse, Samson Mideksa, Leigh, James, Leong, Elvynna, Li, Ming-Chieh, Lim, Stephen S, Liu, Gang, Liu, Jue, Lo, Chun-Han, Lohiya, Ayush, Lopukhov, Platon D, Lorenzovici, László, Lotfi, Mojgan, Loureiro, Joana A, Lunevicius, Raimundas, Madadizadeh, Farzan, Mafi, Ahmad R, Magdeldin, Sameh, Mahjoub, Soleiman, Mahmoodpoor, Ata, Mahmoudi, Morteza, Mahmoudimanesh, Marzieh, Mahumud, Rashidul Alam, Majeed, Azeem, Majidpoor, Jamal, Makki, Alaa, Makris, Konstantinos Christos, Malakan Rad, Elaheh, Malekpour, Mohammad-Reza, Malekzadeh, Reza, Malik, Ahmad Azam, Mallhi, Tauqeer Hussain, Mallya, Sneha Deepak, Mamun, Mohammed A, Manda, Ana Laura, Mansour-Ghanaei, Fariborz, Mansouri, Borhan, Mansournia, Mohammad Ali, Mantovani, Lorenzo Giovanni, Martini, Santi, Martorell, Miquel, Masoudi, Sahar, Masoumi, Seyedeh Zahra, Matei, Clara N, Mathews, Elezebeth, Mathur, Manu Raj, Mathur, Vasundhara, McKee, Martin, Meena, Jitendra Kumar, Mehmood, Khalid, Mehrabi Nasab, Entezar, Mehrotra, Ravi, Melese, Addisu, Mendoza, Walter, Menezes, Ritesh G, Mengesha, SIsay Derso, Mensah, Laverne G, Mentis, Alexios-Fotios A, Mera-Mamián, Andry Yasmid Mera, Meretoja, Tuomo J, Merid, Mehari Woldemariam, Mersha, Amanual Getnet, Meselu, Belsity Temesgen, Meshkat, Mahboobeh, Mestrovic, Tomislav, Miao Jonasson, Junmei, Miazgowski, Tomasz, Michalek, Irmina Maria, Mijena, Gelana Fekadu Worku, Miller, Ted R, Mir, Shabir Ahmad, Mirinezhad, Seyed Kazem, Mirmoeeni, Seyyedmohammadsadeq, Mirza-Aghazadeh-Attari, Mohammad, Mirzaei, Hamed, Mirzaei, Hamid Reza, Misganaw, Abay Sisay, Misra, Sanjeev, Mohammad, Karzan Abdulmuhsin, Mohammadi, Esmaeil, Mohammadi, Mokhtar, Mohammadian-Hafshejani, Abdollah, Mohammadpourhodki, Reza, Mohammed, Arif, Mohammed, Shafiu, Mohan, Syam, Mohseni, Mohammad, Moka, Nagabhishek, Mokdad, Ali H, Molassiotis, Alex, Molokhia, Mariam, Momenzadeh, Kaveh, Momtazmanesh, Sara, Monasta, Lorenzo, Mons, Ute, Montasir, Ahmed Al, Montazeri, Fateme, Montero, Arnulfo, Moosavi, Mohammad Amin, 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Abstract

Understanding the magnitude of cancer burden attributable to potentially modifiable risk factors is crucial for development of effective prevention and mitigation strategies. We analysed results from the Global Burden of Diseases, Injuries, and Risk Factors Study (GBD) 2019 to inform cancer control planning efforts globally.

Published
2022
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5. Leveraging artificial intelligence in ischemic stroke imaging

Author

Shafaat, Omid, Bernstock, Joshua D., Shafaat, Amir, Yedavalli, Vivek S., Elsayed, Galal, Gupta, Saksham, Sotoudeh, Ehsan, Sair, Haris I., Yousem, David M., and Sotoudeh, Houman

Abstract

Artificial intelligence (AI) is having a disruptive and transformative effect on clinical medicine. Prompt clinical diagnosis and imaging are critical for minimizing the morbidity and mortality associated with ischemic strokes. Clinicians must understand the current strengths and limitations of AI to provide optimal patient care. Ischemic stroke is one of the medical fields that have been extensively evaluated by artificial intelligence. Presented herein is a review of artificial intelligence applied to clinical management of stroke, geared toward clinicians. In this review, we explain the basic concept of AI and machine learning. This review is without coding and mathematical details and targets the clinicians involved in stroke management without any computer or mathematics’ background. Here the AI application in ischemic stroke is summarized and classified into stroke imaging (automated diagnosis of brain infarction, automated ASPECT score calculation, infarction segmentation), prognosis prediction, and patients’ selection for treatment.

Published
2022
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6. Brainstem Encephalitis. The Role of Imaging in Diagnosis.

Author

Sotoudeh, Houman, Razaei, Ali, Saadatpour, Zahra, Gaddamanugu, Siddhartha, Choudhary, Gagandeep, Shafaat, Omid, and Singhal, Aparna

Abstract

Encephalitis is a relatively challenging rare condition caused by a diverse group of etiologies. Brainstem encephalitis/Rhombencephalitis (BE), which affects the cerebellum, pons, and medulla, is even less common and more challenging for diagnosis and treatment. At this time, there is scattered data about BE in the literature, mainly in the form of case reports and case series. In this manuscript, the imaging presentation of BE is reviewed with the help of case examples. Many imaging presentations are not pathognomonic for BE; however, in many cases, clinical presentation, the spatial distribution of lesions, and other associated radiological lesions can provide the radiologists and clinician the clues to an accurate diagnosis. [ABSTRACT FROM AUTHOR]

Published
2021
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7. Cancer Incidence, Mortality, Years of Life Lost, Years Lived With Disability, and Disability-Adjusted Life Years for 29 Cancer Groups From 2010 to 2019: A Systematic Analysis for the Global Burden of Disease Study 2019

Author

Kocarnik, Jonathan M., Compton, Kelly, Dean, Frances E., Fu, Weijia, Gaw, Brian L., Harvey, James D., Henrikson, Hannah Jacqueline, Lu, Dan, Pennini, Alyssa, Xu, Rixing, Ababneh, Emad, Abbasi-Kangevari, Mohsen, Abbastabar, Hedayat, Abd-Elsalam, Sherief M., Abdoli, Amir, Abedi, Aidin, Abidi, Hassan, Abolhassani, Hassan, Adedeji, Isaac Akinkunmi, Adnani, Qorinah Estiningtyas Sakilah, Advani, Shailesh M., Afzal, Muhammad Sohail, Aghaali, Mohammad, Ahinkorah, Bright Opoku, Ahmad, Sajjad, Ahmad, Tauseef, Ahmadi, Ali, Ahmadi, Sepideh, Ahmed Rashid, Tarik, Ahmed Salih, Yusra, Akalu, Gizachew Taddesse, Aklilu, Addis, Akram, Tayyaba, Akunna, Chisom Joyqueenet, Al Hamad, Hanadi, Alahdab, Fares, Al-Aly, Ziyad, Ali, Saqib, Alimohamadi, Yousef, Alipour, Vahid, Aljunid, Syed Mohamed, Alkhayyat, Motasem, Almasi-Hashiani, Amir, Almasri, Nihad A., Al-Maweri, Sadeq Ali Ali, Almustanyir, Sami, Alonso, Nivaldo, Alvis-Guzman, Nelson, Amu, Hubert, Anbesu, Etsay Woldu, Ancuceanu, Robert, Ansari, Fereshteh, Ansari-Moghaddam, Alireza, Antwi, Maxwell Hubert, Anvari, Davood, Anyasodor, Anayochukwu Edward, Aqeel, Muhammad, Arabloo, Jalal, Arab-Zozani, Morteza, Aremu, Olatunde, Ariffin, Hany, Aripov, Timur, Arshad, Muhammad, Artaman, Al, Arulappan, Judie, Asemi, Zatollah, Asghari Jafarabadi, Mohammad, Ashraf, Tahira, Atorkey, Prince, Aujayeb, Avinash, Ausloos, Marcel, Awedew, Atalel Fentahun, Ayala Quintanilla, Beatriz Paulina, Ayenew, Temesgen, Azab, Mohammed A., Azadnajafabad, Sina, Azari Jafari, Amirhossein, Azarian, Ghasem, Azzam, Ahmed Y., Badiye, Ashish D., Bahadory, Saeed, Baig, Atif Amin, Baker, Jennifer L., Balakrishnan, Senthilkumar, Banach, Maciej, Bärnighausen, Till Winfried, Barone-Adesi, Francesco, Barra, Fabio, Barrow, Amadou, Behzadifar, Masoud, Belgaumi, Uzma Iqbal, Bezabhe, Woldesellassie M. Mequanint, Bezabih, Yihienew Mequanint, Bhagat, Devidas S., Bhagavathula, Akshaya Srikanth, Bhardwaj, Nikha, Bhardwaj, Pankaj, Bhaskar, Sonu, Bhattacharyya, Krittika, Bhojaraja, Vijayalakshmi S., Bibi, Sadia, Bijani, Ali, Biondi, Antonio, Bisignano, Catherine, Bjørge, Tone, Bleyer, Archie, Blyuss, Oleg, Bolarinwa, Obasanjo Afolabi, Bolla, Srinivasa Rao, Braithwaite, Dejana, Brar, Amanpreet, Brenner, Hermann, Bustamante-Teixeira, Maria Teresa, Butt, Nadeem Shafique, Butt, Zahid A., Caetano dos Santos, Florentino Luciano, Cao, Yin, Carreras, Giulia, Catalá-López, Ferrán, Cembranel, Francieli, Cerin, Ester, Cernigliaro, Achille, Chakinala, Raja Chandra, Chattu, Soosanna Kumary, Chattu, Vijay Kumar, Chaturvedi, Pankaj, Chimed-Ochir, Odgerel, Cho, Daniel Youngwhan, Christopher, Devasahayam J., Chu, Dinh-Toi, Chung, Michael T., Conde, Joao, Cortés, Sanda, Cortesi, Paolo Angelo, Costa, Vera Marisa, Cunha, Amanda Ramos, Dadras, Omid, Dagnew, Amare Belachew, Dahlawi, Saad M. A., Dai, Xiaochen, Dandona, Lalit, Dandona, Rakhi, Darwesh, Aso Mohammad, das Neves, José, De la Hoz, Fernando Pio, Demis, Asmamaw Bizuneh, Denova-Gutiérrez, Edgar, Dhamnetiya, Deepak, Dhimal, Mandira Lamichhane, Dhimal, Meghnath, Dianatinasab, Mostafa, Diaz, Daniel, Djalalinia, Shirin, Do, Huyen Phuc, Doaei, Saeid, Dorostkar, Fariba, dos Santos Figueiredo, Francisco Winter, Driscoll, Tim Robert, Ebrahimi, Hedyeh, Eftekharzadeh, Sahar, El Tantawi, Maha, El-Abid, Hassan, Elbarazi, Iffat, Elhabashy, Hala Rashad, Elhadi, Muhammed, El-Jaafary, Shaimaa I., Eshrati, Babak, Eskandarieh, Sharareh, Esmaeilzadeh, Firooz, Etemadi, Arash, Ezzikouri, Sayeh, Faisaluddin, Mohammed, Faraon, Emerito Jose A., Fares, Jawad, Farzadfar, Farshad, Feroze, Abdullah Hamid, Ferrero, Simone, Ferro Desideri, Lorenzo, Filip, Irina, Fischer, Florian, Fisher, James L., Foroutan, Masoud, Fukumoto, Takeshi, Gaal, Peter Andras, Gad, Mohamed M., Gadanya, Muktar A., Gallus, Silvano, Gaspar Fonseca, Mariana, Getachew Obsa, Abera, Ghafourifard, Mansour, Ghashghaee, Ahmad, Ghith, Nermin, Gholamalizadeh, Maryam, Gilani, Syed Amir, Ginindza, Themba G., Gizaw, Abraham Tamirat T., Glasbey, James C., Golechha, Mahaveer, Goleij, Pouya, Gomez, Ricardo Santiago, Gopalani, Sameer Vali, Gorini, Giuseppe, Goudarzi, Houman, Grosso, Giuseppe, Gubari, Mohammed Ibrahim Mohialdeen, Guerra, Maximiliano Ribeiro, Guha, Avirup, Gunasekera, D. Sanjeeva, Gupta, Bhawna, Gupta, Veer Bala, Gupta, Vivek Kumar, Gutiérrez, Reyna Alma, Hafezi-Nejad, Nima, Haider, Mohammad Rifat, Haj-Mirzaian, Arvin, Halwani, Rabih, Hamadeh, Randah R., Hameed, Sajid, Hamidi, Samer, Hanif, Asif, Haque, Shafiul, Harlianto, Netanja I., Haro, Josep Maria, Hasaballah, Ahmed I., Hassanipour, Soheil, Hay, Roderick J., Hay, Simon I., Hayat, Khezar, Heidari, Golnaz, Heidari, Mohammad, Herrera-Serna, Brenda Yuliana, Herteliu, Claudiu, Hezam, Kamal, Holla, Ramesh, Hossain, Md Mahbub, Hossain, Mohammad Bellal Hossain, Hosseini, Mohammad-Salar, Hosseini, Mostafa, Hosseinzadeh, Mehdi, Hostiuc, Mihaela, Hostiuc, Sorin, Househ, Mowafa, Hsairi, Mohamed, Huang, Junjie, Hugo, Fernando N., Hussain, Rabia, Hussein, Nawfal R., Hwang, Bing-Fang, Iavicoli, Ivo, Ibitoye, Segun Emmanuel, Ida, Fidelia, Ikuta, Kevin S., Ilesanmi, Olayinka Stephen, Ilic, Irena M., Ilic, Milena D., Irham, Lalu Muhammad, Islam, Jessica Y., Islam, Rakibul M., Islam, Sheikh Mohammed Shariful, Ismail, Nahlah Elkudssiah, Isola, Gaetano, Iwagami, Masao, Jacob, Louis, Jain, Vardhmaan, Jakovljevic, Mihajlo B., Javaheri, Tahereh, Jayaram, Shubha, Jazayeri, Seyed Behzad, Jha, Ravi Prakash, Jonas, Jost B., Joo, Tamas, Joseph, Nitin, Joukar, Farahnaz, Jürisson, Mikk, Kabir, Ali, Kahrizi, Danial, Kalankesh, Leila R., Kalhor, Rohollah, Kaliyadan, Feroze, Kalkonde, Yogeshwar, Kamath, Ashwin, Kameran Al-Salihi, Nawzad, Kandel, Himal, Kapoor, Neeti, Karch, André, Kasa, Ayele Semachew, Katikireddi, Srinivasa Vittal, Kauppila, Joonas H., Kavetskyy, Taras, Kebede, Sewnet Adem, Keshavarz, Pedram, Keykhaei, Mohammad, Khader, Yousef Saleh, Khalilov, Rovshan, Khan, Gulfaraz, Khan, Maseer, Khan, Md Nuruzzaman, Khan, Moien A. B., Khang, Young-Ho, Khater, Amir M., Khayamzadeh, Maryam, Kim, Gyu Ri, Kim, Yun Jin, Kisa, Adnan, Kisa, Sezer, Kissimova-Skarbek, Katarzyna, Kopec, Jacek A., Koteeswaran, Rajasekaran, Koul, Parvaiz A., Koulmane Laxminarayana, Sindhura Lakshmi, Koyanagi, Ai, Kucuk Bicer, Burcu, Kugbey, Nuworza, Kumar, G. Anil, Kumar, Narinder, Kumar, Nithin, Kurmi, Om P., Kutluk, Tezer, La Vecchia, Carlo, Lami, Faris Hasan, Landires, Iván, Lauriola, Paolo, Lee, Sang-woong, Lee, Shaun Wen Huey, Lee, Wei-Chen, Lee, Yo Han, Leigh, James, Leong, Elvynna, Li, Jiarui, Li, Ming-Chieh, Liu, Xuefeng, Loureiro, Joana A., Lunevicius, Raimundas, Magdy Abd El Razek, Muhammed, Majeed, Azeem, Makki, Alaa, Male, Shilpa, Malik, Ahmad Azam, Mansournia, Mohammad Ali, Martini, Santi, Masoumi, Seyedeh Zahra, Mathur, Prashant, McKee, Martin, Mehrotra, Ravi, Mendoza, Walter, Menezes, Ritesh G., Mengesha, Endalkachew Worku, Mesregah, Mohamed Kamal, Mestrovic, Tomislav, Miao Jonasson, Junmei, Miazgowski, Bartosz, Miazgowski, Tomasz, Michalek, Irmina Maria, Miller, Ted R., Mirzaei, Hamed, Mirzaei, Hamid Reza, Misra, Sanjeev, Mithra, Prasanna, Moghadaszadeh, Masoud, Mohammad, Karzan Abdulmuhsin, Mohammad, Yousef, Mohammadi, Mokhtar, Mohammadi, Seyyede Momeneh, Mohammadian-Hafshejani, Abdollah, Mohammed, Shafiu, Moka, Nagabhishek, Mokdad, Ali H., Molokhia, Mariam, Monasta, Lorenzo, Moni, Mohammad Ali, Moosavi, Mohammad Amin, Moradi, Yousef, Moraga, Paula, Morgado-da-Costa, Joana, Morrison, Shane Douglas, Mosapour, Abbas, Mubarik, Sumaira, Mwanri, Lillian, Nagarajan, Ahamarshan Jayaraman, Nagaraju, Shankar Prasad, Nagata, Chie, Naimzada, Mukhammad David, Nangia, Vinay, Naqvi, Atta Abbas, Narasimha Swamy, Sreenivas, Ndejjo, Rawlance, Nduaguba, Sabina O., Negoi, Ionut, Negru, Serban Mircea, Neupane Kandel, Sandhya, Nguyen, Cuong Tat, Nguyen, Huong Lan Thi, Niazi, Robina Khan, Nnaji, Chukwudi A., Noor, Nurulamin M., Nuñez-Samudio, Virginia, Nzoputam, Chimezie Igwegbe, Oancea, Bogdan, Ochir, Chimedsuren, Odukoya, Oluwakemi Ololade, Ogbo, Felix Akpojene, Olagunju, Andrew T., Olakunde, Babayemi Oluwaseun, Omar, Emad, Omar Bali, Ahmed, Omonisi, Abidemi E. Emmanuel, Ong, Sokking, Onwujekwe, Obinna E., Orru, Hans, Ortega-Altamirano, Doris V., Otstavnov, Nikita, Otstavnov, Stanislav S., Owolabi, Mayowa O., P A, Mahesh, Padubidri, Jagadish Rao, Pakshir, Keyvan, Pana, Adrian, Panagiotakos, Demosthenes, Panda-Jonas, Songhomitra, Pardhan, Shahina, Park, Eun-Cheol, Park, Eun-Kee, Pashazadeh Kan, Fatemeh, Patel, Harsh K., Patel, Jenil R., Pati, Siddhartha, Pattanshetty, Sanjay M., Paudel, Uttam, Pereira, David M., Pereira, Renato B., Perianayagam, Arokiasamy, Pillay, Julian David, Pirouzpanah, Saeed, Pishgar, Farhad, Podder, Indrashis, Postma, Maarten J., Pourjafar, Hadi, Prashant, Akila, Preotescu, Liliana, Rabiee, Mohammad, Rabiee, Navid, Radfar, Amir, Radhakrishnan, Raghu Anekal, Radhakrishnan, Venkatraman, Rafiee, Ata, Rahim, Fakher, Rahimzadeh, Shadi, Rahman, Mosiur, Rahman, Muhammad Aziz, Rahmani, Amir Masoud, Rajai, Nazanin, Rajesh, Aashish, Rakovac, Ivo, Ram, Pradhum, Ramezanzadeh, Kiana, Ranabhat, Kamal, Ranasinghe, Priyanga, Rao, Chythra R., Rao, Sowmya J., Rawassizadeh, Reza, Razeghinia, Mohammad Sadegh, Renzaho, Andre M. N., Rezaei, Negar, Rezaei, Nima, Rezapour, Aziz, Roberts, Thomas J., Rodriguez, Jefferson Antonio Buendia, Rohloff, Peter, Romoli, Michele, Ronfani, Luca, Roshandel, Gholamreza, Rwegerera, Godfrey M., S, Manjula, Sabour, Siamak, Saddik, Basema, Saeed, Umar, Sahebkar, Amirhossein, Sahoo, Harihar, Salehi, Sana, Salem, Marwa Rashad, Salimzadeh, Hamideh, Samaei, Mehrnoosh, Samy, Abdallah M., Sanabria, Juan, Sankararaman, Senthilkumar, Santric-Milicevic, Milena M., Sardiwalla, Yaeesh, Sarveazad, Arash, Sathian, Brijesh, Sawhney, Monika, Saylan, Mete, Schneider, Ione Jayce Ceola, Sekerija, Mario, Seylani, Allen, Shafaat, Omid, Shaghaghi, Zahra, Shaikh, Masood Ali, Shamsoddin, Erfan, Shannawaz, Mohammed, Sharma, Rajesh, Sheikh, Aziz, Sheikhbahaei, Sara, Shetty, Adithi, Shetty, Jeevan K., Shetty, Pavanchand H., Shibuya, Kenji, Shirkoohi, Reza, Shivakumar, K. M., Shivarov, Velizar, Siabani, Soraya, Siddappa Malleshappa, Sudeep K., Silva, Diego Augusto Santos, Singh, Jasvinder A., Sintayehu, Yitagesu, Skryabin, Valentin Yurievich, Skryabina, Anna Aleksandrovna, Soeberg, Matthew J., Sofi-Mahmudi, Ahmad, Sotoudeh, Houman, Steiropoulos, Paschalis, Straif, Kurt, Subedi, Ranjeeta, Sufiyan, Mu'awiyyah Babale, Sultan, Iyad, Sultana, Saima, Sur, Daniel, Szerencsés, Viktória, Szócska, Miklós, Tabarés-Seisdedos, Rafael, Tabuchi, Takahiro, Tadbiri, Hooman, Taherkhani, Amir, Takahashi, Ken, Talaat, Iman M., Tan, Ker-Kan, Tat, Vivian Y., Tedla, Bemnet Amare A., Tefera, Yonas Getaye, Tehrani-Banihashemi, Arash, Temsah, Mohamad-Hani, Tesfay, Fisaha Haile, Tessema, Gizachew Assefa, Thapar, Rekha, Thavamani, Aravind, Thoguluva Chandrasekar, Viveksandeep, Thomas, Nihal, Tohidinik, Hamid Reza, Touvier, Mathilde, Tovani-Palone, Marcos Roberto, Traini, Eugenio, Tran, Bach Xuan, Tran, Khanh Bao, Tran, Mai Thi Ngoc, Tripathy, Jaya Prasad, Tusa, Biruk Shalmeno, Ullah, Irfan, Ullah, Saif, Umapathi, Krishna Kishore, Unnikrishnan, Bhaskaran, Upadhyay, Era, Vacante, Marco, Vaezi, Maryam, Valadan Tahbaz, Sahel, Velazquez, Diana Zuleika, Veroux, Massimiliano, Violante, Francesco S., Vlassov, Vasily, Vo, Bay, Volovici, Victor, Vu, Giang Thu, Waheed, Yasir, Wamai, Richard G., Ward, Paul, Wen, Yi Feng, Westerman, Ronny, Winkler, Andrea Sylvia, Yadav, Lalit, Yahyazadeh Jabbari, Seyed Hossein, Yang, Lin, Yaya, Sanni, Yazie, Taklo Simeneh Yazie, Yeshaw, Yigizie, Yonemoto, Naohiro, Younis, Mustafa Z., Yousefi, Zabihollah, Yu, Chuanhua, Yuce, Deniz, Yunusa, Ismaeel, Zadnik, Vesna, Zare, Fariba, Zastrozhin, Mikhail Sergeevich, Zastrozhina, Anasthasia, Zhang, Jianrong, Zhong, Chenwen, Zhou, Linghui, Zhu, Cong, Ziapour, Arash, Zimmermann, Ivan R., Fitzmaurice, Christina, Murray, Christopher J. L., and Force, Lisa M.

Abstract

IMPORTANCE: The Global Burden of Diseases, Injuries, and Risk Factors Study 2019 (GBD 2019) provided systematic estimates of incidence, morbidity, and mortality to inform local and international efforts toward reducing cancer burden. OBJECTIVE: To estimate cancer burden and trends globally for 204 countries and territories and by Sociodemographic Index (SDI) quintiles from 2010 to 2019. EVIDENCE REVIEW: The GBD 2019 estimation methods were used to describe cancer incidence, mortality, years lived with disability, years of life lost, and disability-adjusted life years (DALYs) in 2019 and over the past decade. Estimates are also provided by quintiles of the SDI, a composite measure of educational attainment, income per capita, and total fertility rate for those younger than 25 years. Estimates include 95% uncertainty intervals (UIs). FINDINGS: In 2019, there were an estimated 23.6 million (95% UI, 22.2-24.9 million) new cancer cases (17.2 million when excluding nonmelanoma skin cancer) and 10.0 million (95% UI, 9.36-10.6 million) cancer deaths globally, with an estimated 250 million (235-264 million) DALYs due to cancer. Since 2010, these represented a 26.3% (95% UI, 20.3%-32.3%) increase in new cases, a 20.9% (95% UI, 14.2%-27.6%) increase in deaths, and a 16.0% (95% UI, 9.3%-22.8%) increase in DALYs. Among 22 groups of diseases and injuries in the GBD 2019 study, cancer was second only to cardiovascular diseases for the number of deaths, years of life lost, and DALYs globally in 2019. Cancer burden differed across SDI quintiles. The proportion of years lived with disability that contributed to DALYs increased with SDI, ranging from 1.4% (1.1%-1.8%) in the low SDI quintile to 5.7% (4.2%-7.1%) in the high SDI quintile. While the high SDI quintile had the highest number of new cases in 2019, the middle SDI quintile had the highest number of cancer deaths and DALYs. From 2010 to 2019, the largest percentage increase in the numbers of cases and deaths occurred in the low and low-middle SDI quintiles. CONCLUSIONS AND RELEVANCE: The results of this systematic analysis suggest that the global burden of cancer is substantial and growing, with burden differing by SDI. These results provide comprehensive and comparable estimates that can potentially inform efforts toward equitable cancer control around the world.

Published
2022
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9. A solitary hypothalamic metastasis from prostatic cancer mimicking a giant thrombotic aneurysm and presenting with intraventricular hemorrhage and acute hydrocephalus: a case report.

Author

Saadatpour, Zarhra, Rezaei, Ali, Singhal, Aparna, Sotoudeh, Houman, and Tavakol, Kamran

Abstract

Background: Despite the high prevalence of prostate cancer, its brain parenchymal metastasis is not common and intracranial hemorrhage due to such a metastasis is even less common. This report presents a challenging case of solitary brain metastasis secondary to prostate cancer that gave rise to intraventricular hemorrhage and acute hydrocephalus mimicking a giant aneurysm. Case presentation: A 77-year-old man with a history of prostate cancer, hypertension, and morbid obesity presented to the emergency room with a severe headache. He was afebrile with a blood pressure of 144/79 mmHg, alert, without any sign of sensory or motor deficit. Shortly after admission, he became unresponsive and was immediately intubated. His blood tests revealed hypernatremia at 154 mmol/L; otherwise, the lab data including the COVID-19 screening proved normal. The cerebral CT and MR images, with and without contrast, were interpreted as a giant thrombotic aneurysm extending to the suprasellar region by the emergency radiologist. Also, moderate intraventricular hemorrhage, acute hydrocephalus, and sub-ependymal interstitial edema were observed. Upon further evaluation of the images, the lesion was determined to be an exophytic hemorrhagic hypothalamic mass, and the subsequent biopsy was consistent with prostate cancer metastasis. Conclusions: The exophytic hemorrhagic hypothalamic metastasis can mimic a ruptured aneurysm on imaging. Given the improved survival of patients with prostate cancer, radiologists may encounter such unusual cerebral metastases from prostate cancers more frequently in the future. [ABSTRACT FROM AUTHOR]

Published
2020
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10. Hearing loss prevalence and years lived with disability, 1990–2019: findings from the Global Burden of Disease Study 2019

Author

Haile, Lydia M, Kamenov, Kaloyan, Briant, Paul Svitil, Orji, Aislyn U, Steinmetz, Jaimie D, Abdoli, Amir, Abdollahi, Mohammad, Abu-Gharbieh, Eman, Afshin, Ashkan, Ahmed, Haroon, Ahmed Rashid, Tarik, Akalu, Yonas, Alahdab, Fares, Alanezi, Fahad Mashhour, Alanzi, Turki M, Al Hamad, Hanadi, Ali, Liaqat, Alipour, Vahid, Al-Raddadi, Rajaa M, Amu, Hubert, Arabloo, Jalal, Arab-Zozani, Morteza, Arulappan, Judie, Ashbaugh, Charlie, Atnafu, Desta Debalkie, Babar, Zaheer-Ud-Din, Baig, Atif Amin, Banik, Palash Chandra, Bärnighausen, Till Winfried, Barrow, Amadou, Bender, Rose G, Bhagavathula, Akshaya Srikanth, Bhardwaj, Nikha, Bhardwaj, Pankaj, Bibi, Sadia, Bijani, Ali, Burkart, Katrin, Cederroth, Christopher R, Charan, Jaykaran, Choudhari, Sonali Gajanan, Chu, Dinh-Toi, Couto, Rosa A S, Dagnew, Amare Belachew, Dagnew, Baye, Dahlawi, Saad M A, Dai, Xiaochen, Dandona, Lalit, Dandona, Rakhi, Desalew, Assefa, Dhamnetiya, Deepak, Dhimal, Mandira Lamichhane, Dhimal, Meghnath, Doyle, Kerrie E, Duncan, Bruce B, Ekholuenetale, Michael, Filip, Irina, Fischer, Florian, Franklin, Richard Charles, Gaidhane, Abhay Motiramji, Gaidhane, Shilpa, Gallus, Silvano, Ghamari, Farhad, Ghashghaee, Ahmad, Ghozali, Ghozali, Gilani, Syed Amir, Glavan, Ionela-Roxana, Golechha, Mahaveer, Goulart, Bárbara Niegia Garcia, Gupta, Veer Bala, Gupta, Vivek Kumar, Hamidi, Samer, Hammond, Billy Randall, Hay, Simon I, Hayat, Khezar, Heidari, Golnaz, Hoffman, Howard J, Hopf, Kathleen Pillsbury, Hosseinzadeh, Mehdi, Househ, Mowafa, Hussain, Rabia, Hwang, Bing-Fang, Iavicoli, Ivo, Ibitoye, Segun Emmanuel, Ilesanmi, Olayinka Stephen, Irvani, Seyed Sina Naghibi, Islam, Sheikh Mohammed Shariful, Iwagami, Masao, Jacob, Louis, Jayapal, Sathish Kumar, Jha, Ravi Prakash, Jonas, Jost B, Kalhor, Rohollah, Kameran Al-Salihi, Nawzad, Kandel, Himal, Kasa, Ayele Semachew, Kayode, Gbenga A, Khalilov, Rovshan, Khan, Ejaz Ahmad, Khatib, Mahalaqua Nazli, Kosen, Soewarta, Koyanagi, Ai, Kumar, G Anil, Landires, Iván, Lasrado, Savita, Lim, Stephen S, Liu, Xuefeng, Lobo, Stany W, Lugo, Alessandra, Makki, Alaa, Mendoza, Walter, Mersha, Amanual Getnet, Mihretie, Kebadnew Mulatu, Miller, Ted R, Misra, Sanjeev, Mohamed, Teroj Abdulrahman, Mohammadi, Mokhtar, Mohammadian-Hafshejani, Abdollah, Mohammed, Arif, Mokdad, Ali H, Moni, Mohammad Ali, Neupane Kandel, Sandhya, Nguyen, Huong Lan Thi, Nixon, Molly R, Noubiap, Jean Jacques, Nuñez-Samudio, Virginia, Oancea, Bogdan, Oguoma, Victor Maduabuchi, Olagunju, Andrew T, Olusanya, Bolajoko Olubukunola, Olusanya, Jacob Olusegun, Orru, Hans, Owolabi, Mayowa O, Padubidri, Jagadish Rao, Pakshir, Keyvan, Pardhan, Shahina, Pashazadeh Kan, Fatemeh, Pasovic, Maja, Pawar, Shrikant, Pham, Hai Quang, Pinheiro, Marina, Pourshams, Akram, Rabiee, Navid, Rabiee, Mohammad, Radfar, Amir, Rahim, Fakher, Rahimi-Movaghar, Vafa, Rahman, Mohammad Hifz Ur, Rahman, Mosiur, Rahmani, Amir Masoud, Rana, Juwel, Rao, Chythra R, Rao, Sowmya J, Rashedi, Vahid, Rawaf, David Laith, Rawaf, Salman, Renzaho, Andre M N, Rezapour, Aziz, Ripon, Rezaul Karim, Rodrigues, Voilet, Rustagi, Neeti, Saeed, Umar, Sahebkar, Amirhossein, Samy, Abdallah M, Santric-Milicevic, Milena M, Sathian, Brijesh, Satpathy, Maheswar, Sawhney, Monika, Schlee, Winfried, Schmidt, Maria Inês, Seylani, Allen, Shaikh, Masood Ali, Shannawaz, Mohammed, Shiferaw, Wondimeneh Shibabaw, Siabani, Soraya, Singal, Anjali, Singh, Jasvinder A, Singh, Jitendra Kumar, Singhal, Deepika, Skryabin, Valentin Yurievich, Skryabina, Anna Aleksandrovna, Sotoudeh, Houman, Spurlock, Emma Elizabeth, Taddele, Biruk Wogayehu, Tamiru, Animut Tagele, Tareque, Md Ismail, Thapar, Rekha, Tovani-Palone, Marcos Roberto, Tran, Bach Xuan, Ullah, Saif, Valadan Tahbaz, Sahel, Violante, Francesco S, Vlassov, Vasily, Vo, Bay, Vongpradith, Avina, Vu, Giang Thu, Wei, Jingkai, Yadollahpour, Ali, Yahyazadeh Jabbari, Seyed Hossein, Yeshaw, Yigizie, Yigit, Vahit, Yirdaw, Birhanu Wubale, Yonemoto, Naohiro, Yu, Chuanhua, Yunusa, Ismaeel, Zamani, Mohammad, Zastrozhin, Mikhail Sergeevich, Zastrozhina, Anasthasia, Zhang, Zhi-Jiang, Zhao, Jeff T, Murray, Christopher J L, Davis, Adrian C, Vos, Theo, and Chadha, Shelly

Abstract

Hearing loss affects access to spoken language, which can affect cognition and development, and can negatively affect social wellbeing. We present updated estimates from the Global Burden of Disease (GBD) study on the prevalence of hearing loss in 2019, as well as the condition's associated disability.

Published
2021
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11. Heavily calcified parapharyngeal space mesenchymal chondrosarcoma: Imaging and pathological findings and a review of the literature

Author

Shafaat, Omid, Chapman, Philip R, Zandifar, Alireza, Sotoudeh, Ehsan, Baumgartner, Erin M, and Sotoudeh, Houman

Abstract

Parapharyngeal space (PPS) masses are relatively rare lesions of the head and neck, and account for 0.5–1.5% of head and neck lesions. The most common lesion to occur in the PPS is a benign salivary neoplasm, typically pleomorphic adenoma either from the deep parotid or from ectopic parotid tissue rests within the PPS. A calcified or ossified mass in this location is exceedingly rare, but a calcified variant of pleomorphic adenoma has been reported. In this study, we present a patient with a heavily calcified PPS mesenchymal chondrosarcoma with an unusual presentation. We discuss the imaging and pathologic findings followed by a review of the current literature.

Published
2021
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12. NKX3.1 Identifies Prostatic Origin of Dural Metastasis in the Setting of Negative Prostate-Specific Antigen Stain

Author

Shen, Jeffrey Z., Memon, Adeel A., Hackney, James R., Sotoudeh, Houman, and Fathallah-Shaykh, Hassan

Abstract

No clear guidelines exist for the appropriate diagnostic workup of an intracranial mass suspected to be a metastasis from unknown primary origin. Dural metastasis from prostatic origin is very rare. Patients with a known history of metastatic prostate cancer who present with a newly discovered lesion on brain imaging require neurosurgical biopsy to confirm diagnosis prior to initiating treatment. Intracranial metastasis from prostate cancer is rare, and dural metastasis is rarer than intraparenchymal metastasis. Current consensus guidelines support immunohistochemical staining with classic markers such as prostate-specific antigen (PSA) to identify prostatic origin. However, PSA detection of prostate metastases declines with higher Gleason scores and in patients undergoing androgen deprivation therapy. NKX3.1 is another stain that is highly sensitive and specific for prostate. Our patient was a 54-year-old man with a history of metastatic prostate cancer who presented with new-onset seizures. Brain imaging revealed a dural-based lesion with surrounding vasogenic edema and midline shift. The patient underwent resection of the lesion, which was stained with multiple cancer markers. Prostate-specific antigen was negative, but NKX3.1 was positive indicating a prostatic origin for the mass. He underwent a craniectomy to remove the lesion and was given steroids. However, he succumbed to his illness several months later. Here, we document the first report to our knowledge of a patient with prostate metastasis to the dura that is PSA negative, but NKX3.1 positive.

Published
2020
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13. "Code-Stroke" CT Perfusion; Challenges and Pitfalls.

Author

Sotoudeh, Houman, Bag, Asim K., and Brooks, Michael David

Abstract

Rationale and Objectives: Regarding the most recent ischemic stroke treatment guideline, perfusion imaging has been recommended up to 24 hours after initial symptoms of brain infarction. Patients with a significant amount of salvageable peri-infarct ischemia and no contraindications benefit from delayed thrombolysis and intra-arterial thrombectomy. This approach causes increasingly more CT perfusion to be done in the subacute phase of ischemic stroke. CT perfusion findings in this "subacute phase" are slightly different from "hyper-acute" ischemic stroke. The interpreting radiologist must be confident in reporting the CT perfusion study in an urgent setting since these studies are under the umbrella of "code-stroke" and should be read in minutes. In addition, results of the CT perfusion have a critical effect on the patient's outcome and misinterpretation can be fatal in that underestimation of the salvageable ischemia excludes the patient from potential effective treatment. Underestimation of infarct volume may cause unnecessary thrombolysis/thrombectomy and potentially fatal intracranial hemorrhage.Materials and Methods: In this review, we are trying to explain the basic concept of "code-stroke" CT perfusion, typical findings, and pitfalls in a practical way. [ABSTRACT FROM AUTHOR]

Published
2019
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15. Superior ophthalmic vein thrombosis: What radiologist and clinician must know?

Author

Sotoudeh, Houman, Shafaat, Omid, Aboueldahab, Noha, Vaphiades, Michael, Sotoudeh, Ehsan, and Bernstock, Joshua

Abstract

•Incidental SOVT: good prognosis, self-limited and treated by anticoagulation.•Post-traumatic and surgical SOVT: good prognosis, treated by anticoagulation.•Septic SOVT: secondary to infections, high risk, requires specific interventions.•Aseptic SOVT: secondary to inflammatory diseases, need to treat underlying etiology.•CT and MRI are vital to the correct diagnosis and management of patients with SOVT.

Published
2019
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17. Pretreatment Evaluation of Glioma

Author

Mohammadzadeh, Ali, Mohammadzadeh, Vahid, Kooraki, Soheil, Sotoudeh, Houman, Kadivar, Sakineh, Shakiba, Madjid, Rasuli, Bahman, Borhani, Ali, and Mohammadzadeh, Maryam

Abstract

Glioma is considered the most common type of primary central nervous system (CNS) tumor. Imaging is crucial for diagnosis, characterization, grading, and therapeutic planning of CNS gliomas. Along with a brief description of conventional computed tomography and magnetic resonance imaging techniques, this article reviews the ever-developing role of modern imaging techniques in preoperative management of CNS gliomas. It discusses current clinical applications, promising features, and limitations of each imaging method.

Published
2016
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18. Absence of azygos vein in an adult patient with polysplenia syndrome.

Author

Yazdi, Hadi-Rokni, Sotoudeh, Houman, and Taslimi, Reza

Subjects
AZYGOS vein, CARDIOVASCULAR diseases in old age, BLOOD-vessel abnormalities, MEDICAL screening
Abstract

Abstract: A rare adult case of absent azygos vein associated with polysplenia syndrome who was admitted due to pulmonary emboli is presented, image findings are described and embryological bases of venous abnormalities and its association with coagulopathy is discussed via reviewing literatures. [Copyright &y& Elsevier]

Published
2006
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20. 18F-FDG Uptake in a T2 Hypointense Paraspinal Mass

Author

Singhal, Aparna, Adhikari, Narendra, de Idiaquez Bakula, Diego A., and Sotoudeh, Houman

Abstract

We present a paraspinal amyloidoma found incidentally in a 77-year-old man during lymphoma workup by 18F-FDG PET/CT. A solitary FDG-avid paraspinal lesion was seen at T11–T12. MRI showed T2 hypointensity and enhancement. Lymphoma was considered the primary differential due to FDG uptake, but biopsy revealed nodules of extracellular acellular homogeneous material with apple-green birefringence on Congo red stain consistent with amyloidoma. Spinal amyloidoma is rare with few cases reported so far in literature.

Published
2020
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21. A hypothesis about the role of fetal hemoglobin in COVID-19.

Author

Sotoudeh, Ehsan and Sotoudeh, Houman

Subjects
FETAL hemoglobin, COVID-19, CLINICAL drug trials, PATHOLOGICAL physiology
Abstract

COVID-19 infection is less common in children (with higher fetal hemoglobin levels). In our preliminary study, we also observed a low prevalence and fatality of COVID-19 in countries with high rate of hemoglobinopathy carries. Given these two facts, the hemoglobin structure can play a role in the physiopathology of COVID-19 disease. Several drugs are known to increase fetal hemoglobin in adults. Adding these drugs to COVID-19 clinical trials may improve the patients' outcomes. [ABSTRACT FROM AUTHOR]

Published
2020
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