Computed tomography-based machine learning for donor lung screening before transplantation.

BACKGROUND: Assessment and selection of donor lungs remain largely subjective and experience based. Criteria to accept or decline lungs are poorly standardized and are not compliant with the current donor pool. Using ex vivo computed tomography (CT) images, we investigated the use of a CT-based machine learning algorithm for screening donor lungs before transplantation. METHODS: Clinical measures and ex situ CT scans were collected from 100 cases as part of a prospective clinical trial. Following procurement, donor lungs were inflated, placed on ice according to routine clinical practice, and imaged using a clinical CT scanner before transplantation while stored in the icebox. We trained and tested a supervised machine learning method called dictionary learning, which uses CT scans and learns specific image patterns and features pertaining to each class for a classification task. The results were evaluated with donor and recipient clinical measures. RESULTS: Of the 100 lung pairs donated, 70 were considered acceptable for transplantation (based on standard clinical assessment) before CT screening and were consequently implanted. The remaining 30 pairs were screened but not transplanted. Our machine learning algorithm was able to detect pulmonary abnormalities on the CT scans. Among the patients who received donor lungs, our algorithm identified recipients who had extended stays in the intensive care unit and were at 19 times higher risk of developing chronic lung allograft dysfunction within 2 years posttransplant. CONCLUSIONS: We have created a strategy to ex vivo screen donor lungs using a CT-based machine learning algorithm. As the use of suboptimal donor lungs rises, it is important to have in place objective techniques that will assist physicians in accurately screening donor lungs to identify recipients most at risk of posttransplant complications.

The hemodynamic interplay between pulmonary ischemia-reperfusion injury and right ventricular function in lung transplantation: a translational porcine model.

Lung transplantation (LTx) is a challenging procedure. Following the process of ischemia-reperfusion injury, the transplanted pulmonary graft might become severely damaged, resulting in primary graft dysfunction. In addition, during the intraoperative window, the right ventricle (RV) is at risk of acute failure. The interaction of right ventricular function with lung injury is, however, poorly understood. We aimed to address this interaction in a translational porcine model of pulmonary ischemia-reperfusion injury. Advanced pulmonary and hemodynamic assessment was used, including right ventricular pressure-volume loop analysis. The acute model was based on clamping and unclamping of the left lung hilus, respecting the different hemodynamic phases of a clinical lung transplantation. We found that forcing entire right ventricular cardiac output through a lung suffering from ischemia-reperfusion injury increased afterload (pulmonary vascular resistance from baseline to end experiment P < 0.0001) and induced right ventricular failure (RVF) in 5/9 animals. Notably, we identified different compensation patterns in failing versus nonfailing ventricles (arterial elastance P = 0.0008; stroke volume P < 0.0001). Furthermore, increased vascular pressure and flow produced by the right ventricle resulted in higher pulmonary injury, as measured by ex vivo CT density (correlation: pressure r = 0.8; flow r = 0.85). Finally, RV ischemia as measured by troponin-T was negatively correlated with pulmonary injury (r = -0.76); however, troponin-T values did not determine RVF in all animals. In conclusion, we demonstrate a delicate balance between development of pulmonary ischemia-reperfusion injury and right ventricular function during lung transplantation. Furthermore, we provide a physiological basis for potential benefit of extracorporeal life support technology.NEW & NOTEWORTHY In contrast to the abundant literature of mechanical pulmonary artery clamping to increase right ventricular afterload, we developed a model adding a biological factor of pulmonary ischemia-reperfusion injury. We did not only focus on the right ventricular behavior, but also on the interaction with the injured lung. We are the first to describe this interaction while addressing the hemodynamic intraoperative phases of clinical lung transplantation.

CT-based Machine Learning for Donor Lung Screening Prior to Transplantation.

Background: Assessment and selection of donor lungs remains largely subjective and experience based. Criteria to accept or decline lungs are poorly standardized and are not compliant with the current donor pool. Using ex vivo CT images, we investigated the use of a CT-based machine learning algorithm for screening donor lungs prior to transplantation. Methods: Clinical measures and ex-situ CT scans were collected from 100 cases as part of a prospective clinical trial. Following procurement, donor lungs were inflated, placed on ice according to routine clinical practice, and imaged using a clinical CT scanner prior to transplantation while stored in the icebox. We trained and tested a supervised machine learning method called dictionary learning , which uses CT scans and learns specific image patterns and features pertaining to each class for a classification task. The results were evaluated with donor and recipient clinical measures. Results: Of the 100 lung pairs donated, 70 were considered acceptable for transplantation (based on standard clinical assessment) prior to CT screening and were consequently implanted. The remaining 30 pairs were screened but not transplanted. Our machine learning algorithm was able to detect pulmonary abnormalities on the CT scans. Among the patients who received donor lungs, our algorithm identified recipients who had extended stays in the ICU and were at 19 times higher risk of developing CLAD within 2 years post-transplant. Conclusions: We have created a strategy to ex vivo screen donor lungs using a CT-based machine learning algorithm. As the use of suboptimal donor lungs rises, it is important to have in place objective techniques that will assist physicians in accurately screening donor lungs to identify recipients most at risk of post-transplant complications.

Lung transplantation for acute respiratory distress syndrome: A multicenter experience.

Acute respiratory distress syndrome (ARDS) is a rapidly progressive lung disease with a high mortality rate. Although lung transplantation (LTx) is a well-established treatment for a variety of chronic pulmonary diseases, LTx for acute lung failure (due to ARDS) remains controversial. We reviewed posttransplant outcome of ARDS patients from three high-volume European transplant centers. Demographics and clinical data were collected and analyzed. Viral infection was the main reason for ARDS (n = 7/13, 53.8%). All patients were admitted to ICU and required mechanical ventilation, 11/13 were supported with ECMO at the time of listing. They were granted a median LAS of 76 (IQR 50-85) and waited for a median of 3 days (IQR 1.5-14). Postoperatively, median length of mechanical ventilation was 33 days (IQR 17-52.5), median length of ICU and hospital stay were 39 days (IQR 19.5-58.5) and 54 days (IQR 43.5-127). Prolongation of peripheral postoperative ECMO was required in 7/13 (53.8%) patients with a median duration of 2 days (IQR 2-7). 30-day mortality was 7.7%, 1 and 5-year survival rates were calculated as 71.6% and 54.2%, respectively. Given the lack of alternative treatment options, the herein presented results support the concept of offering live-saving LTx to carefully selected ARDS patients.

Early protein expression profile in bronchoalveolar lavage fluid and clinical outcomes in primary graft dysfunction after lung transplantation.

OBJECTIVES: Primary graft dysfunction (PGD) remains a major post-transplant complication and is associated with increased morbidity and mortality. Mechanisms evoking PGD are not completely clear, but inflammation plays a central role. We investigated the association between PGD and inflammatory proteins present in immediate postoperative bronchoalveolar lavage. METHODS: All double-lung recipients transplanted at our institution from 2002 to 2018 were included in our study. We retrospectively selected 80 consecutive lung transplant recipients with different PGD grades (n = 20 for each PGD grades 0-1 to 2-3). In bronchoalveolar lavage performed within the first 24 h after donor aortic cross-clamping following lung transplantation, concentrations of 30 cytokines, chemokines and growth factors were assessed by enzyme-linked immunosorbent assay (ELISA) and correlated with donor and recipient demographics and outcomes. For analysis, 2 groups were defined: 'mild' PGD (grade 0-1) and 'severe' PGD (grades 2-3). RESULTS: Significant differences between mild and severe PGD were found in 8 biomarkers [interleukin (IL)-6, IL-10, IL-13, eotaxin, granulocyte colony-stimulating factor, interferon γ, macrophage inflammatory protein 1α, surfactant protein D (SP-D); P < 0.05]. Increased IL-10 and IL-13, but none of the other proteins, were associated with short-term outcome (longer time to extubation; P = 0.005 and P < 0.0001; increased intensive care unit stay; P = 0.012 and P < 0.0001; and hospital stay; P = 0.041 and P = 0.002). There were no significant differences in donor and recipient characteristics between the groups. CONCLUSIONS: Expression profiles of key inflammatory mediators in bronchoalveolar lavage fluid differed significantly between lung transplant recipients with severe versus mild PGD and correlated with clinical outcome variables. Further research should focus on the early mechanisms leading to PGD.

Histopathologic and radiologic assessment of nontransplanted donor lungs.

Donor organ shortage results in significant waiting list mortality. Donor lung assessment is currently based on donors' history, gas exchange, chest X-ray, bronchoscopy findings, and ultimately in situ inspection but remains subjective. We correlated histopathology and radiology in nontransplanted donor lungs with the clinical indications to decline the offered organ. Sixty-two donor lungs, not used for transplantation (2010-2019), were procured, air-inflated, frozen, scanned with computed tomography, systematically sampled, and histologically and radiologically assessed. Thirty-nine (63%) lungs were declined for allograft-related reasons. In 13/39 (33%) lungs, histology could not confirm the reason for decline, in an additional 8/39 (21%) lungs, histologic abnormalities were only considered mild. In 16/39 (41%) lungs, radiology could not confirm the reason for decline. Twenty-three (37%) donor lungs were not transplanted due to extrapulmonary causes, of which three (13%) lungs displayed severe histologic abnormalities (pneumonia, n = 2; emphysema, n = 1), in addition to mild emphysema in 9 (39%) lungs and minor bronchopneumonia in 1 (4%). Radiology revealed ground-glass opacities in 8/23 (35%) and emphysema in 4/23 (17%) lungs. Histopathologic and radiologic assessment of nontransplanted donor lungs revealed substantial discrepancy with the clinical reason for decline. Optimization of donor lung assessment is necessary to improve current organ acceptance rates.

Prone Positioning During Ex Vivo Lung Perfusion Influences Regional Edema Accumulation.

BACKGROUND: Ex vivo lung perfusion (EVLP) is developed to increase the quantity and quality of suitable grafts for lung transplantation. Standardly, lungs are mounted supine with the risk of fluid accumulation in the dorsal regions. Therefore, we investigated the impact of experimental prone position on graft function during EVLP. MATERIALS AND METHODS: Porcine lungs were mounted on a normothermic EVLP for 6 h in supine [S], (n = 7) or prone position [P], (n = 7). Physiology during EVLP was recorded. After EVLP, biopsies were assessed for wet-to-dry weight (W/D) ratios and pathology, broncho-alveolar lavage was measured, and the left lung was computed tomography (CT) scanned. RESULTS: Physiological parameters were similar between both groups, despite a higher pulmonary vascular resistance in [P] (P = 0.0002). In [S], W/D ratios and CT density of dorsal areas were higher compared to ventral (P = 0.0017 and P = 0.053, respectively). In [P], W/D and CT density between ventral and dorsal regions were similar, meaning that pulmonary edema was distributed more homogeneously throughout the lung. Histology and cytokine levels in perfusate and broncho-alveolar lavage did not differ between both groups. CONCLUSIONS: Prone positioning during EVLP is feasible and leads to more homogenous distribution of interstitial fluid. Supine position resulted in more concentrated edema accumulation in lower dependent regions.

Azithromycin and early allograft function after lung transplantation: A randomized, controlled trial.

BACKGROUND: Chronic lung allograft dysfunction (CLAD) is the single most important factor limiting long-term survival after lung transplantation (LTx). Azithromycin has been shown to improve CLAD-free and long-term survival, yet the possible impact on early lung allograft function is unclear. METHODS: A prospective, randomized, double-blind, placebo-controlled trial of pre-transplant and prompt post-transplant azithromycin treatment was performed at the University Hospitals Leuven. In each arm, 34 patients, transplanted between October 2013 and October 2015, were included for analysis. Study drug was added to standard of care and was administered once before LTx (1,000 mg of azithromycin or placebo) and every other day from Day 1 until Day 31 after LTx (250 mg of azithromycin or placebo). Primary outcome was an anticipated 15% improvement of forced expiratory volume in 1 second (FEV1, percent predicted) during the first 3 months post-LTx. Secondary end-points included length of intubation, days on ventilator, duration of intensive care unit and hospital stay, prevalence and severity of primary graft dysfunction, acute rejection, infection, and CLAD-free and overall survival. RESULTS: FEV1 was not significantly different between the 2 groups (p = 0.41). Patients treated with azithromycin demonstrated less airway inflammation, with lower bronchoalveolar lavage (BAL) neutrophilia and BAL interleukin-8 protein levels at Day 30 (p = 0.09 and p = 0.04, respectively) and Day 90 (p = 0.002 and p = 0.08, respectively) after LTx. Other secondary outcomes were not significantly different between placebo and azithromycin groups. CONCLUSIONS: Pre-transplant and prompt post-transplant azithromycin treatment was not able to improve early lung allograft function. However, the known anti-inflammatory properties of azithromycin were confirmed (NCT01915082).

European questionnaire on the clinical use of video-assisted thoracoscopic surgery.

OBJECTIVES: Video-assisted thoracoscopic surgery (VATS) has emerged as a safe and efficacious alternative approach to conventional thoracotomy for selected patients with non-small-cell lung cancer. The aim of the present study was to assess the current clinical practice of VATS among the European Society of Thoracic Surgeons (ESTS) members. METHODS: A standardized questionnaire was sent to thoracic surgeons on the ESTS mailing list, with collection of data on demographics, use of multiportal or uniportal VATS, institutional experience with VATS procedures and proportion of operations performed by different approaches. Analysis was performed using SPSS statistical software. RESULTS: Complete questionnaire results were collected from 100 unique institutions in 31 countries, representing data on the clinical practice of 461 board-certified thoracic surgeons. Three hundred and twenty-four of the 461 (70%) surgeons claimed to perform anatomical VATS resections, with a total estimated caseload of 9519 resections per year. Two hundred and thirty-one (50%) surgeons reported to have performed lobectomies primarily through the VATS approach. The case volume was significantly correlated to the number (P = 0.019) and proportion (P = 0.001) of surgeons who performed VATS anatomical resections. Overall, 47% of the centres performing anatomical VATS resections reported some use of uniportal approach. There was no association between the number of thoracic surgeons within an institution and the likelihood of performing uniportal VATS lobectomy. CONCLUSIONS: Compared to previous surveys, results of the present European study suggested that there is a strong trend favouring VATS for a range of thoracic procedures in the current clinical setting. However, the use of uniportal VATS is still not yet widespread. The evolving adoption of VATS in Europe should be further assessed with regard to clinical outcomes in the form of large standardized registries.

The resident's point of view in the learning curve of thymic MIS: why should I learn it?

Minimally invasive surgery (MIS) in thoracic surgery became quite popular during the last years. The aim of introducing and performing more MIS is to reduce surgical trauma, pain and complications in patients. Training in MIS increases operative time and thus cost in theatre but thus improves with experience. For a resident, the cases should be well selected with experienced supervision in a suitable setting with supporting staff and optimal instruments. Understanding the anatomy of the lung, using simulators, and attending workshops makes the learning curve shorter.