The incremental contribution of mobile cone-beam computed tomography to the tool–lesion relationship during shape-sensing robotic-assisted bronchoscopy
Autor: | Bryan C. Husta, Anu Menon, Reza Bergemann, I-Hsin Lin, Jaclyn Schmitz, Rastko Rakočević, Tejaswi R. Nadig, Prasad S. Adusumilli, Jason A. Beattie, Robert P. Lee, Bernard J. Park, Gaetano Rocco, Matthew J. Bott, Mohit Chawla, Or Kalchiem-Dekel |
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Jazyk: | angličtina |
Rok vydání: | 2024 |
Předmět: | |
Zdroj: | ERJ Open Research, Vol 10, Iss 4 (2024) |
Druh dokumentu: | article |
ISSN: | 2312-0541 23120541 |
DOI: | 10.1183/23120541.00993-2023 |
Popis: | Introduction This study aims to answer the question of whether adding mobile cone-beam computed tomography (mCBCT) imaging to shape-sensing robotic-assisted bronchoscopy (ssRAB) translates into a quantifiable improvement in the tool–lesion relationship. Methods Data from 102 peripheral lung lesions with ≥2 sequential mCBCT orbital spins and from 436 lesions with 0–1 spins were prospectively captured and retrospectively analysed. The primary outcome was the tool–lesion relationship status across the first and the last mCBCT spins. Secondary outcomes included 1) the change in distance between the tip of the sampling tool and the centre of the lesion between the first and the last spins and 2) the per-lesion diagnostic yield. Results Compared to lesions requiring 0–1 spins, lesions requiring ≥2 spins were smaller and had unfavourable bronchus sign and intra-operative sonographic view. On the first spin, 54 lesions (53%) were designated as non-tool-in-lesion (non-TIL) while 48 lesions (47%) were designated as TIL. Of the 54 initially non-TIL cases, 49 (90%) were converted to TIL status by the last spin. Overall, on the last spin, 96 out of 102 lesions (94%) were defined as TIL and six out of 102 lesions (6%) were defined as non-TIL (p |
Databáze: | Directory of Open Access Journals |
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