Findings Favor Haptics Feedback in Virtual Simulation Surgical Education: An Updated Systematic and Scoping Review.

BACKGROUND: Virtual simulations (VSs) enhance clinical competencies and skills. However, a previous systematic review of 9 RCT studies highlighted a paucity of literature on the effects of haptic feedback in surgical VSs. An updated systematic and scoping review was conducted to encompass more studies and a broader range of study methodologies. METHODS: A systematic literature search was conducted on July 31, 2023, in MEDLINE, Embase, and Cochrane. English language studies comparing haptic vs non-haptic conditions and using VSs were included. Studies were evaluated and reported using PRISMA-ScR guidelines. RESULTS: Out of 2782 initial studies, 51 were included in the review. Most studies used RCT (21) or crossover (23) methodologies with medical residents, students, and attending physicians. Most used post-intervention metrics, while some used pre- and post-intervention metrics. Overall, 34 performance results from studies favored haptics, 3 favored non-haptics, and the rest showed mixed or equal results. CONCLUSION: This updated review highlights the diverse application of haptic technology in surgical VSs. Haptics generally enhances performance, complements traditional teaching methods, and offers personalized learning with adequate simulator validation. However, a sparsity of orienting to the simulator, pre-/post-study designs, and small sample sizes poses concerns with the validity of the results. We underscore the urgent need for standardized protocols, large-scale studies, and nuanced understanding of haptic feedback integration. We also accentuate the significance of simulator validation, personalized learning potential, and the need for researcher, educator, and manufacturer collaboration. This review is a guidepost for navigating the complexities and advancements in haptic-enhanced surgical VSs.

Teaching Chest Tube Insertion by Blended Learning: A Multi-Dimensional Analysis.

BACKGROUND: Emerging technologies are being incorporated in surgical education. The use of such technology should be supported by evidence that the technology neither distracts nor overloads the learner and is easy to use. To teach chest tube insertion, we developed an e-learning module, as part of a blended learning program delivered prior to in-person hands-on simulation. This pilot study was aimed to assess learning effectiveness of this blended learning, and cognitive load and the usability of e-learning. METHODS: The interactive e-learning module with multimedia content was created following learning design principles. In advance of the standard simulation, 13 first-year surgical residents were randomized into two groups: 7 received the e-learning module and online reading materials (e-learning group); 6 received only the online reading materials (controls). Knowledge was evaluated by pre-and post-tests; technical performance was assessed using a Global Rating Scale by blinded assessors. Cognitive load and usability were evaluated using rating scales. RESULTS: The e-learning group showed significant improvement from baseline in knowledge (P = .047), while controls did not (P = .500). For technical skill, 100% of residents in the e-learning group reached a predetermined proficiency level vs 60% of controls (P = .06). The addition of e-learning was associated with lower extrinsic and greater germane cognitive load (P = .04, .03, respectively). Usability was evaluated highly by all participants in e-learning group. CONCLUSION: Interactive e-learning added to hands-on simulation led to improved learning and desired cognitive load and usability. This approach should be evaluated in teaching of other procedural skills.

Enhanced recovery protocols in trauma and emergency abdominal surgery: a scoping review.

PURPOSE: Enhanced recovery protocols (ERP) have been shown to improve patient outcomes and is now regarded as standard of care in elective surgical setting. However, the literature addressing the use of ERP in trauma and emergency abdominal surgery (EAS) is limited and heterogenous. A scoping review was conducted to comprehensively assess the literature on ERP in trauma laparotomy and EAS. METHODS: Three bibliographic databases were searched for studies addressing ERP in trauma laparotomy and EAS. We extracted the study characteristics including study design, country, year, surgical procedures, ERP components used, and outcomes. Reporting was according to the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) Extension for Scoping Reviews. RESULTS: After screening of 1631 articles for eligibility, 39 studies were included in the review. There has been an increase in the number of articles in the field, with 44% of the identified studies published between 2020 and 2022. Fourteen different protocols were identified, with varying components for each operative phase (preoperative; 29, intraoperative; 20, postoperative; 27). The majority of the studies addressed the effectiveness of ERP on clinical outcomes (31/39: 79%). Only two studies (5%) included purely trauma populations. CONCLUSIONS: Studies on ERP implementations in the EAS populations were published across a range of countries, with improved outcomes. However, a clear gap in ERP research on trauma laparotomy was identified. This scoping review indicates that standardization of care through ERP implementation has potential to improve the quality of care in both EAS and trauma laparotomy.

One-year change in the health status predicts the subsequent hospitalization and mortality in patients waitlisted for lung transplantation in Japan.

BACKGROUND: Poor health-related quality of life (HRQL) at the registration for lung transplantation is related to waitlist mortality. We investigated the relationship between 1-year change in HRQL and subsequent outcomes in patients waitlisted for lung transplantation. METHODS: In a 5-year longitudinal study, we analyzed the factors related to waitlist mortality in 197 lung transplant patients registered on the Japan Organ Transplant Network. HRQL was assessed using St. George's Respiratory Questionnaire (SGRQ), and factors related to changes in SGRQ scores were evaluated after 1 year. We assessed the relationship between the 1-year change in SGRQ score and subsequent mortality or hospitalization. RESULTS: Among 197 patients, 108 remained waitlisted during the first-year assessment. During the median follow-up period of 469 d, 28 patients died, and 54 underwent lung transplantation. Univariate Cox proportional hazards analysis revealed that the changes in all components and total score of the SGRQ after 1 year were associated with waitlist mortality (p < 0.05). Stepwise multivariate analysis revealed that the 1-year changes in SGRQ scores were significantly related to waitlist mortality. Forty-three patients with worsened HRQL after 1 year had higher likelihoods of hospitalization (p = 0.038) and mortality (p = 0.026) after 1 and 4 years of follow-up, respectively, than 61 patients without worsened HRQL. CONCLUSIONS: Patients with worsened health status during the first year after registration had higher likelihoods of hospitalization and mortality after 1 and 4 years of follow-up, respectively, than those without worsened HRQL. Strategies to improve health status while waiting are needed to reduce waitlist hospitalization or mortality.

Measurement and Management of Cognitive Load in Surgical Education: A Narrative Review.

BACKGROUND: Cognitive load should be considered in designing optimal educational programs in health care. Despite the highly demanding nature of surgery and surgical education, a consensus on how to manage cognitive load has not been established. The objective of this review is to map out how recent surgical education research incorporates cognitive load. METHODS: A literature search was performed using keywords related to cognitive load and digital education up to December 2021. Studies published in English relevant to assessment and management of cognitive load in surgical education were included. Terminology, assessment tools, association with different surgical procedures and training modalities, and programs considering cognitive load were reported. RESULTS: We identified several terms to describe cognitive load. Cognitive load was measured by subjective, self-reported questionnaires and by objective measurements, such as physiological parameters or estimated by reaction time to secondary tasks. Subjective measurements reported cognitive load in one or multiple dimensions. Correlations between subjective and objective measurements were shown in multiple studies. Overall, higher cognitive load was observed in training for more complex tasks and high-fidelity modalities, and among less experienced trainees. Cognitive load theory has been lately incorporated into designing teaching programs. CONCLUSIONS: A broad range of terms and assessment tools were identified for cognitive load. To maximize the learning outcome, management of cognitive load is necessary in surgical education. This review summarizes the current knowledge in assessment and management of cognitive load in surgical education and provides suggestions for future studies.

Digital Education in General Thoracic Surgery: A Narrative Review.

BACKGROUND: Since advanced technologies were introduced into surgical education, a variety of new programs have been developed. However, a comprehensive review of digital education in general thoracic surgery has not been performed. This narrative review was conducted was to identify the current applications of digital education in general thoracic surgery. METHODS: A literature search was performed using keywords related to general thoracic surgery and digital education, including e-learning and virtual simulation, up to September 2021. Studies published in English investigating the effect of digital education in general thoracic surgery were included. RESULTS: Thirteen studies met the criteria. The settings were in undergraduate (n = 6) and postgraduate education (residency) (n = 5) and mixed audience with other disciplines (n = 2). Theoretical knowledge (n = 5), technical skills (n = 4), and both knowledge and technical skills (n = 4) were the stated educational objectives for the studies. The didactic materials were transferred to hardware, software, or online platforms and delivered with multimedia materials. Technical skills training for bronchoscopy and chest tube insertion (n = 5) were offered using virtual reality and computer-based simulations. Subjective evaluation was done in 10 studies. Although after the digital education training there was observed improvement in knowledge or skills in 8 studies, studies were not designed to test for superiority compared with controls through randomized controlled studies. CONCLUSIONS: This review summarizes the current applications of digital education in general thoracic surgery and helps establish the needs for future studies in this field.

Creation of a video library for education and virtual simulation of anatomical lung resection.

OBJECTIVES: Recently, preoperative and intraoperative simulation using three-dimensional computed tomography (CT) has attracted much attention in thoracic surgery. However, because conventional three-dimensional CT only shows static images, dynamic simulation is required for a more precise operation. We previously reported on a resection process map for pulmonary resection, which we developed to generate virtual dynamic images from preoperative patient-specific CT scans. The goal of this study was to evaluate the feasibility of the clinical use of the resection process map for anatomical lung resection. METHODS: This study included 5 lobectomies for different lobes and 4 representative segmentectomies. Dissection of the pulmonary arteries, veins and bronchi were considered key parts of each procedure. To assess the description of images obtained from the resection process map, relevant clips from the actual surgical videos were collected, retrospectively replicated and superimposed on the resection process map to explain the procedures. RESULTS: In all surgical procedures, the resection process map successfully and semiautomatically generated a virtual dynamic image from the patient-specific CT data. Moreover, superimposition of the virtual images on the selected clips from the surgical videos showed no major differences. CONCLUSIONS: The resection process map could generate virtual images that corresponded to the actual surgical videos and has the potential for clinical use as preoperative and intraoperative simulation.

Virtual-assisted lung mapping in sublobar resection of small pulmonary nodules, long-term results.

OBJECTIVES: The short-term efficacy of virtual-assisted lung mapping (VAL-MAP), a preoperative bronchoscopic multi-spot lung-marking technique, has been confirmed in 2 prospective multicentre studies. The objectives of this study were to analyse the local recurrence and survival of patients enrolled in these studies, long-term. METHODS: Of the 663 patients enrolled in the 2 studies, 559 patients' follow-up data were collected. After excluding those who did not undergo VAL-MAP, whose resection was not for curative intent, who underwent concurrent resection without VAL-MAP, or who eventually underwent lobectomy instead of sublobar resection (i.e. wedge resection or segmentectomy), 422 patients were further analysed. RESULTS: Among 264 patients with primary lung cancer, the 5-year local recurrence-free rate was 98.4%, and the 5-year overall survival (OS) rate was 94.5%. Limited to stage IA2 or less (≤2 cm in diameter; n = 238, 90.1%), the 5-year local recurrence-free and OS rates were 98.7% and 94.8%, respectively. Among 102 patients with metastatic lung tumours, the 5-year local recurrence-free rate was 93.8% and the 5-year OS rate was 81.8%. Limited to the most common (colorectal) cancer (n = 53), the 5-year local recurrence-free and OS rates were 94.9% and 82.3%, respectively. CONCLUSIONS: VAL-MAP, which is beneficial in localizing small barely palpable pulmonary lesions and determining the appropriate resection lines, was associated with reasonable long-term outcomes. SUBJ COLLECTION: 152, 1542.

Deformation analysis of surface and bronchial structures in intraoperative pneumothorax using deformable mesh registration.

The positions of nodules can change because of intraoperative lung deflation, and the modeling of pneumothorax-associated deformation remains a challenging issue for intraoperative tumor localization. In this study, we introduce spatial and geometric analysis methods for inflated/deflated lungs and discuss heterogeneity in pneumothorax-associated lung deformation. Contrast-enhanced CT images simulating intraoperative conditions were acquired from live Beagle dogs. The images contain the overall shape of the lungs, including all lobes and internal bronchial structures, and were analyzed to provide a statistical deformation model that could be used as prior knowledge to predict pneumothorax. To address the difficulties of mapping pneumothorax CT images with topological changes and CT intensity shifts, we designed deformable mesh registration techniques for mixed data structures including the lobe surfaces and the bronchial centerlines. Three global-to-local registration steps were performed under the constraint that the deformation was spatially continuous and smooth, while matching visible bronchial tree structures as much as possible. The developed framework achieved stable registration with a Hausdorff distance of less than 1 mm and a target registration error of less than 5 mm, and visualized deformation fields that demonstrate per-lobe contractions and rotations with high variability between subjects. The deformation analysis results show that the strain of lung parenchyma was 35% higher than that of bronchi, and that deformation in the deflated lung is heterogeneous.

Patient-reported dyspnea and health predict waitlist mortality in patients waiting for lung transplantation in Japan.

BACKGROUND: Waitlist mortality due to donor shortage for lung transplantation is a serious problem worldwide. Currently, the selection of recipients in Japan is mainly based on the registration order. Hence, scientific evidence for risk stratification regarding waitlist mortality is urgently needed. We hypothesized that patient-reported dyspnea and health would predict mortality in patients waitlisted for lung transplantation. METHODS: We analyzed factors related to waitlist mortality using data of 203 patients who were registered as candidates for lung transplantation from deceased donors. Dyspnea was evaluated using the modified Medical Research Council (mMRC) dyspnea scale, and the health status was determined with St. George's Respiratory Questionnaire (SGRQ). RESULTS: Among 197 patients who met the inclusion criteria, the main underlying disease was interstitial lung disease (99 patients). During the median follow-up period of 572 days, 72 patients died and 96 received lung transplantation (69 from deceased donors). Univariable competing risk analyses revealed that both mMRC dyspnea and SGRQ Total score were significantly associated with waitlist mortality (p = 0.003 and p < 0.001, respectively) as well as age, interstitial lung disease, arterial partial pressure of carbon dioxide, and forced vital capacity. Multivariable competing risk analyses revealed that the mMRC and SGRQ score were associated with waitlist mortality in addition to age and interstitial lung disease. CONCLUSIONS: Both mMRC dyspnea and SGRQ score were significantly associated with waitlist mortality, in addition to other clinical variables such as patients' background, underlying disease, and pulmonary function. Patient-reported dyspnea and health may be measured through multi-dimensional analysis (including subjective perceptions) and for risk stratification regarding waitlist mortality.

Improved visualization of virtual-assisted lung mapping by indocyanine green.

OBJECTIVES: Virtual-assisted lung mapping (VAL-MAP) is a bronchoscopic marking method of dye application on the surface of the lungs before resecting nonpalpable nodules. However, in some cases, it can be difficult to identify the markings of VAL-MAP on computed tomography and intraoperative thoracoscopy. We developed and assessed the feasibility of indocyanine green VAL-MAP (ICG-VAL-MAP). METHODS: A historical control trial was conducted to investigate the effectiveness of ICG-VAL-MAP for marking visualization compared with that of VAL-MAP. In ICG-VAL-MAP, instead of indigo carmine, ICG and computed tomography contrast agents were used for dye marking, and near-infrared fluorescence endoscopy was employed to visualize the ICG markings. The other processes in VAL-MAP were carried out. The marking visibility was assessed in 3 grades of easy, faint, or not identifiable. We compared the visibility of the markings on computed tomography images and during thoracoscopic operations between VAL-MAP (567 markings in 147 cases) and ICG-VAL-MAP (142 markings in 63 cases). RESULTS: On the preoperative computed tomography images, ICG-VAL-MAP provided significantly better marking visualization than VAL-MAP (easy/faint/not identifiable = 142/0/0 vs 427/100/30; P < .0001). ICG-VAL-MAP provided significantly better intraoperative markings than VAL-MAP (easy/faint/not identifiable = 141/0/1, respectively, vs 475/50/42, respectively; P < .0001). Regarding complications, pneumothorax occurred in 8 (5.4%) cases of VAL-MAP and zero cases (0%) of ICG-VAL-MAP (P = .12); fever was observed in 7 (5.0%) cases of VAL-MAP and 2 (3.2%) cases of ICG-VAL-MAP (P = .72). CONCLUSIONS: ICG-VAL-MAP provided significantly better visibility of markings than VAL-MAP. It might be useful in the resection of nonpalpable small lung lesions.

Sleep quality and its association with health-related quality of life of patients on lung transplantation waitlist in Japan.

PURPOSE: Poor quality of sleep is a common feature in patients with various lung diseases and affects their health-related quality of life (HRQL). We evaluated sleep quality and HRQL in patients on the waitlist for lung transplantation in Japan. METHODS: In this prospective study, patient-reported and physiological data were collected from patients newly registered on the waitlist for lung transplantation in Japan. Sleep quality was evaluated using the Pittsburgh Sleep Quality Index (PSQI) and HRQL using the St. George's Respiratory Questionnaire (SGRQ). The frequency of poor sleep quality, correlations between sleep quality and various clinical parameters, and predictive factors of sleep quality were examined. RESULTS: Of 193 patients, the three most-frequent indications for lung transplantation were interstitial pneumonia (n = 96), pulmonary complications of hematopoietic stem cell transplantation (n = 25), and pulmonary hypertension (n = 17). Poor sleep quality (PSQI > 5) was observed in 102 patients (53%) and was significantly associated with worse Hospital Anxiety and Depression Score (HADS), worse SGRQ score, worse modified Medical Research Council Dyspnea score, and shorter 6-min walk distance. However, it was not associated with sex, pulmonary function, interstitial pneumonia, or arterial blood gas. Stepwise multiple regression analysis indicated that poor sleep quality was explained significantly by HADS anxiety (23%) and SGRQ Symptoms (10%). CONCLUSION: Poor sleep quality was found to be common among patients on the lung transplantation waitlist in Japan. The two most significant factors responsible for impaired sleep quality were anxiety and respiratory symptoms. Additional care should be taken to ensuring a better quality of sleep for such patients.

Analysis of Optimal Health-Related Quality of Life Measures in Patients Waitlisted for Lung Transplantation.

Background: Improving health-related quality of life (HRQL) is an important goal of lung transplantation, and St. George's Respiratory Questionnaire (SGRQ) is frequently used for assessing HRQL in patients waitlisted for lung transplantation. We hypothesized that chronic respiratory failure (CRF)-specific HRQL measures would be more suitable than the SGRQ, considering the underlying disease and its severity in these patients. Methods: We prospectively collected physiological and patient-reported data (HRQL, dyspnea, and psychological status) of 199 patients newly registered in the waiting list of lung transplantation. CRF-specific HRQL measures of the Maugeri Respiratory Failure Questionnaire (MRF) and Severe Respiratory Insufficiency Questionnaire (SRI) were assessed in addition to the SGRQ. Results: Compared to the MRF-26 and SRI, the score distribution of the SGRQ was skewed toward the worse ends of the scale. All domains of the MRF-26 and SRI were significantly correlated with the SGRQ. Multiple regression analyses to investigate factors predicting each HRQL score indicated that dyspnea and psychological status accounted for 12% to 28% of the variance more significantly than physiological measures did. The MRF-26 Total and SRI Summary significantly worsened from the baseline to 1 year (p < 0.001 and p < 0.001 and p < 0.001 and. Conclusions: The MRF-26 and SRI are valid, discriminative, and responsive in patients waitlisted for lung transplantation. In terms of the score distribution and responsiveness, CRF-specific measures may function better in their HRQL assessment than the currently used measures do.

Resection Process Map: A novel dynamic simulation system for pulmonary resection.

OBJECTIVE: Use of 3-dimensional computed tomography for preoperative and intraoperative simulation has been introduced in the field of thoracic surgery. However, 3-dimensional computed tomography provides only static simulation, which is a significant limitation of surgical simulation. Dynamic simulation, reflecting the intraoperative deformation of the lung, has not been developed. The aim of this study was to develop a novel simulation system that generates dynamic images based on patient-specific computed tomography data. METHODS: We developed an original software, the Resection Process Map, for anatomic pulmonary resection. The Resection Process Map semi-automatically generates virtual dynamic images based on patient-specific computed tomography data. We retrospectively evaluated its accuracy in 18 representative cases by comparing the virtual dynamic images with the actual surgical images. RESULTS: In this study, 9 patients who underwent lobectomy and 9 patients who underwent segmentectomy were included. For each case, a virtual dynamic image was successfully generated semi-automatically by the Resection Process Map. The Resection Process Map accurately delineated 98.6% of vessel branches and all the bronchi. The median time required to obtain the images was 121.3 seconds. CONCLUSIONS: We successfully developed a novel dynamic simulation system, the Resection Process Map, for anatomic pulmonary resection.

Surface deformation analysis of collapsed lungs using model-based shape matching.

PURPOSE: To facilitate intraoperative localization of lung nodules, this study used model-based shape matching techniques to analyze the inter-subject three-dimensional surface deformation induced by pneumothorax. METHODS: Contrast- enhanced computed tomography (CT) images of the left lungs of 11 live beagle dogs were acquired at two bronchial pressures (14 and 2 cm[Formula: see text]). To address shape matching problems for largely deformed lung images with pixel intensity shift, a complete Laplacian-based shape matching solution that optimizes the differential displacement field was introduced. RESULTS: Experiments were performed to confirm the methods' registration accuracy using CT images of lungs. Shape similarity and target displacement errors in the registered models were improved compared with those from existing shape matching methods. Spatial displacement of the whole lung's surface was visualized with an average error of within 5 mm. CONCLUSION: The proposed methods address problems with the matching of surfaces with large curvatures and deformations and achieved smaller registration errors than existing shape matching methods, even at the tip and ridge regions. The findings and inter-subject statistical representation are directly available for further research on pneumothorax deformation modeling.

Unilateral Chronic Lung Allograft Dysfunction Assessed by Biphasic Computed Tomographic Volumetry in Bilateral Living-donor Lobar Lung Transplantation.

BACKGROUND: Early diagnosis of unilateral chronic lung allograft dysfunction (CLAD) is difficult because the unaffected contralateral lung functions as a reservoir in bilateral living-donor lobar lung transplantation (LDLLT). We previously reported the usefulness of 133Xe ventilation scintigraphy for detection of unilateral change, but the supply of 133Xe has been stopped globally. The present study aimed to examine the usefulness of inspiratory and expiratory computed tomography (I/E CT) volumetry for detection of unilateral change in CLAD patients. METHODS: This was a retrospective single-center, observational study using prospectively collected data. A total of 58 patients who underwent bilateral LDLLT from August 2008 to February 2017 were analyzed. Respiratory function tests, I/E CT were prospectively conducted. ΔLung volume was defined as the value obtained by subtracting expiratory lung volume from inspiratory lung volume. RESULTS: Fourteen (24%) cases were clinically diagnosed with CLAD, of which 10 (71%) were diagnosed as unilateral CLAD. ΔLung volume of bilateral lungs strongly correlated with forced vital capacity (r = 0.92, P < 0.01) and forced expiratory volume in 1 second (r = 0.80, P < 0.01). Regardless the phenotypes (bronchiolitis obliterans syndrome or restrictive allograft syndrome) of CLAD, Δlung volume onset/baseline significantly decreased compared with that in the non-CLAD group. Among the 10 unilateral CLAD patients, 3 with clinically suspected unilateral rejection yet did not show a 20% decline in forced expiratory volume in 1 second. In 2 of these, Δlung volume of unilateral lungs on the rejection side decreased by 20% or more. CONCLUSIONS: Our findings suggest that I/E CT volumetry may be useful for assessment and early diagnosis of unilateral CLAD after bilateral LDLLT.

Preoperative detection of pleural adhesions by respiratory dynamic computed tomography.

BACKGROUND: Video-assisted thoracic surgery (VATS) plays an important role in thoracic surgery because it is less invasive. However, the existence of severe pleural adhesions may make VATS difficult and complicated. The aim of this study was to assess the utility of inspiration and expiration computed tomography (respiratory dynamic CT (RD-CT)) in evaluation of pleural adhesions preoperatively. METHODS: RD-CT was performed on 107 patients undergoing thoracotomies (both VATS and open). We assessed synchronous motion during respiration on RD-CT. Comparing the results of RD-CT and intraoperative findings, we assessed the utility of preoperative evaluation. RESULTS: A negative correlation between sliding score and adhesion grade was revealed. Sliding score in adhesion negative patients was significantly higher than that in adhesion positive patients (P < 0.0001). The sensitivity of RD-CT was 63.6%, specificity was 74.1%, and accuracy was 72%. Among 62 patients with a CT-Respiration Ratio of less than 0.65, the sensitivity of RD-CT was 77.8%, specificity was 86.8%, and accuracy was 85.5%. CONCLUSIONS: RD-CT may be clinically useful for detecting the presence of pleural adhesions. It can be adopted as one of the criteria for deciding the surgical approach.

[Consensus of Verticality and Horizontality on the Monitor in Three-ports Video-Assisted Thoracic Surgery].

Video-assisted thoracic surgery( VATS) has been utilized worldwide for treatment of thoracic disease in recent years. Then, in most VATS, the thoracoscope was handled by young surgeons consequently. In VATS, a role of the scopist is very important, because if there is no consensus of verticality and horizontality on the monitor among operator, assistant and scopist, it is difficult to perform the surgery smoothly. Therefore, it is important for young surgeons to improve their skills as scopist. However, there are few models of verticality and horizontality on the monitor and thoracoscope techniques of VATS. We present our consensus of verticality and horizontality on the monitor in the standard 3-ports VATS by right upper lobectomy and left upper lobectomy.

Prognostic significance of preoperative mean platelet volume in resected non-small-cell lung cancer.

An increased mean platelet volume (MPV) is an early marker of platelet activation. MPV was also shown to be associated with the pathophysiological characteristics of various types of cancer. A previous study demonstrated that MPV was significantly associated with the overall survival (OS) of patients with advanced non-small-cell lung cancer (NSCLC). However, there has been no analysis of the prognostic effect of MPV on patients with resected NSCLC. The aim of this study was to evaluate the contribution of MPV to the survival of patients with completely resected NSCLC. We retrospectively analyzed 308 consecutive patients with NSCLC who underwent curative resection at Kitano Hospital. The associations between MPV and clinicopathological factors were assessed. We also evaluated the effect of MPV on survival, using the two-tailed log-rank test and the Cox proportional hazards model. A MPV value of 8.50 fl was considered to be the optimal cut-off value for prognosis. A low MPV was not associated with any other clinicopathological factors. The two-tailed log-rank test demonstrated that patients with a low MPV experienced a shorter disease-free survival (DFS) and overall survival (OS) (P=0.011 and 0.001, respectively), compared to those with a high MPV. The multivariate analysis demonstrated that a low MPV was an independent unfavorable prognostic factor for DFS and OS [hazard ratio (HR)=1.713; 95% confidence interval (CI): 1.070-2.742, P=0.025; and HR=2.835; 95% CI: 1.304-6.163, P=0.009, respectively)]. Therefore, we demonstrated that a low MPV predicted an unfavorable prognosis in patients with NSCLC following curative resection.