医学
恶性肿瘤
肺癌
结核(地质)
放射科
活检
支气管镜检查
肺孤立结节
回顾性队列研究
计算机断层摄影术
核医学
外科
内科学
古生物学
生物
作者
Sebastian Fernandez‐Bussy,Alejandra Yu Lee‐Mateus,Janani Reisenauer,Prasanth Balasubramanian,Alanna Barrios‐Ruiz,Ana Garza-Salas,Nikitha C. Chandra,Anoop Koratala,Anthony Nadrous,Eric S. Edell,Andrew W. Bowman,Rolf A. Grage,Chris J. Reisenauer,Anil N. Kurup,Neal Patel,Ritu Chadha,Britney N. Hazelett,David Abia‐Trujillo
出处
期刊:Respiration
[S. Karger AG]
日期:2024-03-12
卷期号:: 1-9
摘要
Lung cancer remains the leading cause of cancer death worldwide. Subsolid nodules (SSN), including ground glass nodules (GGN) and part solid nodules (PSN), are slow growing but have a higher risk for malignancy. Therefore, timely diagnosis is imperative. Shape-sensing robotic-assisted bronchoscopy (ssRAB) has emerged as reliable diagnostic procedure, but data on SSN and how ssRAB compares to other diagnostic interventions such as CT-guided transthoracic biopsy (CTTB) is scarce. In this study, we compared diagnostic yield of ssRAB versus CTTB for evaluating SSN.A retrospective study of consecutive patients who underwent either ssRAB or CTTB for evaluating GGN and PSN with a solid component less than 6mm, from February 2020 to April 2023 at Mayo Clinic Florida and Rochester. Clinicodemographic information, nodule characteristics, diagnostic yield, and complications were compared between ssRAB and CTTB.A total of 66 nodules from 65 patients were evaluated: 37 PSN and 29 GGN. Median size of PSN solid component was 5mm (IQR 4.5, 6). Patients were divided in two groups: 27 in the ssRAB group and 38 in the CCTB group. Diagnostic yield was 85.7% for ssRAB and 89.5% for CTTB (p= .646). Sensitivity for malignancy was similar between ssRAB and CTTB (86.4% vs 88.5%; p= .828), with no statistical difference. Complications were more frequent in CTTB with no significant difference (8 vs 2; p= .135).Diagnostic yield for SSN was similarly high for ssRAB and CTTB, with ssRAB presenting less complications and allowing mediastinal staging within the same procedure.
科研通智能强力驱动
Strongly Powered by AbleSci AI