Title |
A proposal for a CT driven classification of left colon acute diverticulitis
|
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Published in |
World Journal of Emergency Surgery, February 2015
|
DOI | 10.1186/1749-7922-10-3 |
Pubmed ID | |
Authors |
Massimo Sartelli, Frederick A Moore, Luca Ansaloni, Salomone Di Saverio, Federico Coccolini, Ewen A Griffiths, Raul Coimbra, Ferdinando Agresta, Boris Sakakushev, Carlos A Ordoñez, Fikri M Abu-Zidan, Aleksandar Karamarkovic, Goran Augustin, David Costa Navarro, Jan Ulrych, Zaza Demetrashvili, Renato B Melo, Sanjay Marwah, Sanoop K Zachariah, Imtiaz Wani, Vishal G Shelat, Jae Il Kim, Michael McFarlane, Tadaja Pintar, Miran Rems, Miklosh Bala, Offir Ben-Ishay, Carlos Augusto Gomes, Mario Paulo Faro, Gerson Alves Pereira, Marco Catani, Gianluca Baiocchi, Roberto Bini, Gabriele Anania, Ionut Negoi, Zurabs Kecbaja, Abdelkarim H Omari, Yunfeng Cui, Jakub Kenig, Norio Sato, Andras Vereczkei, Matej Skrovina, Koray Das, Giovanni Bellanova, Isidoro Di Carlo, Helmut A Segovia Lohse, Victor Kong, Kenneth Y Kok, Damien Massalou, Dmitry Smirnov, Mahir Gachabayov, Georgios Gkiokas, Athanasios Marinis, Charalampos Spyropoulos, Ioannis Nikolopoulos, Konstantinos Bouliaris, Jaan Tepp, Varut Lohsiriwat, Elif Çolak, Arda Isik, Daniel Rios-Cruz, Rodolfo Soto, Ashraf Abbas, Cristian Tranà, Emanuele Caproli, Darija Soldatenkova, Francesco Corcione, Diego Piazza, Fausto Catena |
Abstract |
Computed tomography (CT) imaging is the most appropriate diagnostic tool to confirm suspected left colonic diverticulitis. However, the utility of CT imaging goes beyond accurate diagnosis of diverticulitis; the grade of severity on CT imaging may drive treatment planning of patients presenting with acute diverticulitis. The appropriate management of left colon acute diverticulitis remains still debated because of the vast spectrum of clinical presentations and different approaches to treatment proposed. The authors present a new simple classification system based on both CT scan results driving decisions making management of acute diverticulitis that may be universally accepted for day to day practice. |
X Demographics
Geographical breakdown
Country | Count | As % |
---|---|---|
Italy | 3 | 50% |
United States | 1 | 17% |
United Kingdom | 1 | 17% |
Unknown | 1 | 17% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 2 | 33% |
Practitioners (doctors, other healthcare professionals) | 2 | 33% |
Scientists | 1 | 17% |
Science communicators (journalists, bloggers, editors) | 1 | 17% |
Mendeley readers
Geographical breakdown
Country | Count | As % |
---|---|---|
United States | 1 | <1% |
Unknown | 148 | 99% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Other | 19 | 13% |
Researcher | 17 | 11% |
Professor > Associate Professor | 14 | 9% |
Student > Postgraduate | 13 | 9% |
Student > Doctoral Student | 11 | 7% |
Other | 35 | 23% |
Unknown | 40 | 27% |
Readers by discipline | Count | As % |
---|---|---|
Medicine and Dentistry | 84 | 56% |
Nursing and Health Professions | 5 | 3% |
Social Sciences | 2 | 1% |
Unspecified | 1 | <1% |
Agricultural and Biological Sciences | 1 | <1% |
Other | 6 | 4% |
Unknown | 50 | 34% |