Erratum to: ‘Single-step localization and excision of small pulmonary nodules using a mobile 3D C-arm’

Background: Thoracoscopic removal of small pulmonary nodules is traditionally accomplished through a two-step approach—with lesion localization in a CT suite as the first step followed by lesion removal in an operating room as the second step. While the advent of hybrid operating rooms (HORs) has fostered our ability to offer a more patient-tailored approach that allows simultaneous localization and removal of small pulmonary nodules within a single-step, randomized controlled trials (RCTs) that compared the two techniques (two- vs. single-step) are still lacking.Methods: This is a RCT conducted in an academic hospital in Taiwan between October 2018 and December 2019. To compare the outcomes of traditional two-step preoperative CT-guided small pulmonary nodule localization followed by lesion removal vs. single-step intraoperative CT-guided lesion localization with simultaneous removal performed by a dedicated team of thoracic surgeons. The analysis was conducted in an intention-to-treat fashion. The primary study endpoint was the time required for lesion localization. Secondary endpoints included radiation doses, other procedural time indices, and complication rates.Results: A total of 24 and 25 patients who received the single- and two-step approach, respectively, were included in the final analysis. The time required for lesion localization was significantly shorter for patients who underwent the single-step procedure (median: 13 min) compared with the two step-procedure (median: 32 min, p < 0.001). Similarly, the radiation dose was significantly lower for the former than the latter (median: 5.64 vs. 10.65 mSv, respectively, p = 0.001).Conclusions: The single-step procedure performed in a hybrid operating room resulted in a simultaneous reduction of both localization procedural time and radiation exposure.

Download Full-text

Small Pulmonary Nodules: Effect of Two Computer-aided Detection Systems on Radiologist Performance

Yearbook of Diagnostic Radiology ◽

10.1016/s0098-1672(08)70019-5 ◽

2007 ◽

Vol 2007 ◽

pp. 20-21

Author(s):

M.L. Rosado de Christenson

Keyword(s):

Pulmonary Nodules ◽

Computer Aided Detection ◽

Detection Systems ◽

Computer Aided ◽

Small Pulmonary Nodules

Download Full-text

Phantom and clinical assessment of small pulmonary nodules using Q.Clear reconstruction on a silicon-photomultiplier-based time-of-flight PET/CT system

Scientific Reports ◽

10.1038/s41598-021-89725-z ◽

2021 ◽

Vol 11 (1) ◽

Author(s):

Zhifang Wu ◽

Binwei Guo ◽

Bin Huang ◽

Xinzhong Hao ◽

Ping Wu ◽

...

Keyword(s):

Time Of Flight ◽

Pulmonary Nodules ◽

Medium Size ◽

Ct Reconstruction ◽

Reconstruction Algorithms ◽

Silicon Photomultiplier ◽

Standardized Uptake Values ◽

Pet Ct ◽

Quantification Accuracy ◽

Small Pulmonary Nodules

AbstractTo evaluate the quantification accuracy of different positron emission tomography-computed tomography (PET/CT) reconstruction algorithms, we measured the recovery coefficient (RC) and contrast recovery (CR) in phantom studies. The results played a guiding role in the partial-volume-effect correction (PVC) for following clinical evaluations. The PET images were reconstructed with four different methods: ordered subsets expectation maximization (OSEM), OSEM with time-of-flight (TOF), OSEM with TOF and point spread function (PSF), and Bayesian penalized likelihood (BPL, known as Q.Clear in the PET/CT of GE Healthcare). In clinical studies, SUVmax and SUVmean (the maximum and mean of the standardized uptake values, SUVs) of 75 small pulmonary nodules (sub-centimeter group: < 10 mm and medium-size group: 10–25 mm) were measured from 26 patients. Results show that Q.Clear produced higher RC and CR values, which can improve quantification accuracy compared with other methods (P < 0.05), except for the RC of 37 mm sphere (P > 0.05). The SUVs of sub-centimeter fludeoxyglucose (FDG)-avid pulmonary nodules with Q.Clear illustrated highly significant differences from those reconstructed with other algorithms (P < 0.001). After performing the PVC, highly significant differences (P < 0.001) still existed in the SUVmean measured by Q.Clear comparing with those measured by the other algorithms. Our results suggest that the Q.Clear reconstruction algorithm improved the quantification accuracy towards the true uptake, which potentially promotes the diagnostic confidence and treatment response evaluations with PET/CT imaging, especially for the sub-centimeter pulmonary nodules. For small lesions, PVC is essential.

Download Full-text