Three-dimensional-printed model of surgically resectable angioinvasive pulmonary mucormycosis.
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ABSTRACT:
SUBMITTER: Byrd CT
PROVIDER: S-EPMC9197082 | biostudies-literature | 2022 Jun
REPOSITORIES: biostudies-literature
Publications
Three-dimensional-printed model of surgically resectable angioinvasive pulmonary mucormycosis.
Byrd Catherine T CT Vyas Devarsh D Guo H Henry HH Lui Natalie S NS
JTCVS techniques 20220418
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Project description:BackgroundLocalization of small pulmonary nodules is an inevitable challenge for the thoracic surgeon. This study aimed to investigate the accuracy of three-dimensional (3D) printing technology for localizing small pulmonary nodules, especially ground-glass nodules (GGNs).MethodsThis study enrolled patients with peripheral small pulmonary nodules (≤ 2 cm) who required preoperative localization. In the comparison period, patients underwent both computed tomography-guided (CT-G) and 3D-printing template guided (3D-G) localization to compare the accuracies of the two methods. In the testing period, the 3D-printing technique was implemented alone. The 3D-printing physical navigational template was designed based on data from perioperative CT images. Clinical data, imaging data, surgical data, and evaluation index were collected for further analysis. The learning curve of the 3D-printing localization technique was assessed using cumulative sum (CUSUM) analysis and multiple linear regression analysis.ResultsIn the comparison period (n = 14), the success rates of CT-G and 3D-G were 100% and 92.9% (P = 0.31), respectively; in the testing period (n = 23), the success rate of 3D-G was 95.6%. The localization times of CT-G, 3D-G (comparison), and 3D-G (testing) were 23.6 ± 5.3, 19.3 ± 6.8, and 9.8 ± 4.6 minutes, respectively. The CUSUM learning curve was modeled using the equation: Y = 0.48X2 - 0.013X - 0.454 (R2 = 0.89). The learning curve was composed of two phases, phase 1 (the initial 20 patients) and phase 2 (the remaining 17 patients).Conclusions3D printing localization has adequate accuracy and is a feasible and accessible strategy for use in localizing small pulmonary nodules, especially in right upper lobe. The use of this technique could facilitate lung nodule localization prior to surgery.
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Project description:BackgroundMediastinoscopy remains an important component of lung cancer staging. The development of endobronchial ultrasonography has meant residents perform fewer mediastinoscopies. We hypothesized that a 3-dimensional printed model of the mediastinum would be an effective tool for teaching residents the anatomy and techniques for mediastinoscopy.MethodsA color model of the mediastinum was 3-dimensionally printed based on segmented computed tomographic images. For 2 years, residents and attendings were asked to provide a skills assessment after every mediastinoscopy. During the second year, all residents received standardized instruction for mediastinoscopy using the 3-dimensional model. Skills assessments were compared between the residents taught with and without the 3-dimensional model.ResultsThere were 49 resident and 65 attending surveys completed. Residents taught with the 3-dimensional model were more likely to answer that they could identify normal anatomy "well"/"very well" compared with residents taught without the model (86% vs 52%, P = .015). Residents taught with the 3-dimensional model more frequently answered they were able to perform an uncomplicated mediastinoscopy "well"/ "very well" (59% vs 31%, P = .079) compared with residents taught without the 3-dimensional model, although this was not significant. Attendings were equally likely to answer "well"/"very well" that residents taught with the 3-dimensional model could identify normal anatomy (52% vs 55%, P > .99) and perform an uncomplicated mediastinoscopy (48% vs 43%, P = .79) compared with those taught without the model.ConclusionsA 3-dimensional printed model of the mediastinum may be an effective tool for teaching mediastinoscopy.
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Project description:BackgroundPeripheral pulmonary lesion (PPL) incidence is rising because of increased chest imaging sensitivity and frequency. For PPLs suspicious for lung cancer, current clinical guidelines recommend tissue diagnosis. Radial endobronchial ultrasound (R-EBUS) is a bronchoscopic technique used for this purpose. It has been observed that diagnostic yield is impacted by the ability to accurately manipulate the radial probe. However, such skills can be acquired, in part, from simulation training. Three-dimensional (3D) printing has been used to produce training simulators for standard bronchoscopy but has not been specifically used to develop similar tools for R-EBUS.ObjectiveWe report the development of a novel ultrasound-compatible, anatomically accurate 3D-printed R-EBUS simulator and evaluation of its utility as a training tool.MethodsComputed tomography images were used to develop 3D-printed airway models with ultrasound-compatible PPLs of "low" and "high" technical difficulty. Twenty-one participants were allocated to two groups matched for prior R-EBUS experience. The intervention group received 15 minutes to pretrain R-EBUS using a 3D-printed model, whereas the nonintervention group did not. Both groups then performed R-EBUS on 3D-printed models and were evaluated using a specifically developed assessment tool.ResultsFor the "low-difficulty" model, the intervention group achieved a higher score (21.5 ± 2.02) than the nonintervention group (17.1 ± 5.7), reflecting 26% improvement in performance (P = 0.03). For the "high-difficulty" model, the intervention group scored 20.2 ± 4.21 versus 13.3 ± 7.36, corresponding to 52% improvement in performance (P = 0.02). Participants derived benefit from pretraining with the 3D-printed model, regardless of prior experience level.Conclusion3D-printing can be used to develop simulators for R-EBUS education. Training using these models significantly improves procedural performance and is effective in both novice and experienced trainees.
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