학술논문
High-resolution CT phenotypes in pulmonary sarcoidosis: a multinational Delphi consensus study
Document Type
Article
Author
Desai, Sujal R; Sivarasan, Nishanth; Johannson, Kerri A; George, Peter M; Culver, Daniel A; Devaraj, Anand; Lynch, David A; Milne, David; Renzoni, Elisabetta; Nunes, Hilario; Sverzellati, Nicola; Spagnolo, Paolo; Baughman, Robert P; Yadav, Ruchi; Piciucchi, Sara; Walsh, Simon L F; Kouranos, Vasileios; Wells, Athol U; Anderson, Adam; Morgenthau, Adam; Gaser, Adrian; Vizel, Alexander; Speranskaya, Alexandra; Gerke, Alicia; Goksel, Altinisik; Undurraga, Alvaro; Sharma, Amita; Oh, Andrea; Leung, Ann; Larici, Anna Rita; Prasse, Antje; Mazzei, Antonietta; Morais, Antonio; Bhalla, Ashu; Del Rio, Belen; Jankharia, Bhavin; Elicker, Brett; Pereira, Carlos; Biegelman-Aubry, Catherine; White, Charles; Ravaglia, Claudia; Hsia, Connie; Schaefer-Prokop, Cornelia; Launay, David; Talwar, Deepak; Castillo, Diego; Patel, Divya; Israel-Biet, Dominique; Valeyre, Dominique; Britt, Edward James; Bargagli, Elena; Bendstrup, Elisabeth; Crouser, Elliott; Nossent, Esther; Shmelev, Eugeny; Porquera, Eva Carmona; Bonella, Francesco; Cohen-Aubart, Fleur; Jeny, Florence; Ferrara, Giovanni; Jin, Gong Yong; Robbie, Hasti; Prosch, Helmut; Sumikawa, Hiromitsu; Ling-Pei, Ho; Lee, Ho Yun; Strambu, Irina; Buendia-Roldan, Ivette; Grutters, Jan; Ryu, Jay; Swigris, Jeff; Miedema, Jelle; Goo, Jin Mo; Barnett, Joseph; Verschakelen, Johny; Goldin, Jonathan; Seo, Joon Beom; Enghelmayer, Juan; Mana, Juan; Behr, Juergen; Patterson, Karen; Antoniou, Katerina; Brown, Kevin; Fujimoto, Kiminori; Savale, Laurent; Maier, Lisa; Richeldi, Luca; Neto, Manuel Lessa Ribeiro; Humbert, Marc; Judson, Marc; Veltkamp, Marcel; Wilsher, Margaret; Molina, Maria; Otaola, Maria; Revel, Marie-Pierre; Silva, Mario; Drent, Marjolein; Schiebler, Mark; Wijsenbeek-Lourens, Marlies; Bonifazi, Martina; Remy-Jardin, Martine; Koslow, Matthew; Balter, Meyer; Kreuter, Michael; Thillai, Muhunthan; Hamzeh, Nabeel; Chaudhuri, Nazia; Mogulkoc, Nesrin; Todd, Nevins; Screaton, Nick; Goh, Nicole; Shah, Nirav; Obi, Ogugua; Shlobin, Oksana; Baranova, Olga; Bresser, Paul; Rottoli, Paula; Brillet, Pierre-Yves; Said-Hartley, Qonita; Borie, Raphael; Mostard, Remy; van Zyl-smit, Richard; Kairalla, Ronaldo; Egashira, Ryoko; Boussouar, Samia; Lee, Sang Min; Bhalla, Sanjeev; Tomassetti, Sara; Quadrelli, Silvia; Hart, Simon P; Danoff, Sonye; Rajan, Sujeet; Choi, Sun Mi; Copley, Susan; Kim, Tae Jung; Johkoh, Takeshi; Corte, Tamera; McLoud, Theresa; Wessendorf, Thomas; Alfaro, Tiago; Arai, Toru; Costabel, Ulrich; Vicens-Zygmunt, Vanesa; Poletti, Venerino; Cottin, Vincent; Vucinic, Violeta; Wuyts, Wim; van Es, Wouter; Jeong, Yeon Joo; Inoue, Yoshikazu
Source
The Lancet Respiratory Medicine; 20230101, Issue: Preprints
Subject
Language
ISSN
22132600; 22132619
Abstract
One view of sarcoidosis is that the term covers many different diseases. However, no classification framework exists for the future exploration of pathogenetic pathways, genetic or trigger predilections, patterns of lung function impairment, or treatment separations, or for the development of diagnostic algorithms or relevant outcome measures. We aimed to establish agreement on high-resolution CT (HRCT) phenotypic separations in sarcoidosis to anchor future CT research through a multinational two-round Delphi consensus process. Delphi participants included members of the Fleischner Society and the World Association of Sarcoidosis and other Granulomatous Disorders, as well as members' nominees. 146 individuals (98 chest physicians, 48 thoracic radiologists) from 28 countries took part, 144 of whom completed both Delphi rounds. After rating of 35 Delphi statements on a five-point Likert scale, consensus was achieved for 22 (63%) statements. There was 97% agreement on the existence of distinct HRCT phenotypes, with seven HRCT phenotypes that were categorised by participants as non-fibrotic or likely to be fibrotic. The international consensus reached in this Delphi exercise justifies the formulation of a CT classification as a basis for the possible definition of separate diseases. Further refinement of phenotypes with rapidly achievable CT studies is now needed to underpin the development of a formal classification of sarcoidosis.