ObjectiveTo investigate the feasibility of using magnetic beads to locate small pulmonary nodules.MethodsTwelve rabbits were randomly divided into two groups, 6 in each group. One group underwent thoracotomy after anesthesia and the other group underwent percutaneous puncture under the guidance of X-ray. One and two cylindrical tracer magnets (magnetic beads) with a diameter of 1 mm and a height of 3 mm were injected adjacent to the imaginary pulmonary nodules in left lung in each group. The magnetic beads beside the imaginary nodules were attracted by a pursuit magnet with a diameter of 9 mm and a height of 19 mm. The effectiveness of localization by magnetic beads were determined by attraction between tracer and pursuit magnets.ResultsAll processes were uneven in 12 rabbits. There was micro hemorrhage and no hematoma in the lung tissue at the injection site of the magnetic beads. When tracked with the pursuit magnets, there was one bead divorce in cases that one bead was injected, but no migration or divorce of the magnetic beads in cases that two magnetic beads were simultaneously injected to localize the small pulmonary nodules.ConclusionThe feasibility of using magnetic beads to locate small pulmonary nodules has been preliminarily verified.
ObjectiveTo explore the application of artificial intelligence (AI) in the standardized training of thoracic surgery residents, specifically in enhancing clinical skills and anatomical understanding through AI-assisted lung nodule identification and lung segment anatomy teaching. MethodsThoracic surgery residents undergoing standardized training at Peking Union Medical College Hospital from September 2023 to September 2024 were selected. They were randomly assigned to a trial group and a control group using a random number table. The trial group used AI-assisted three-dimensional reconstruction technology for lung nodule identification, while the control group used conventional chest CT images. After basic teaching and self-practice, the ability to identify lung nodules on the same patient CT images was evaluated, and feedback was collected through questionnaires. ResultsA total of 72 residents participated in the study, including 30 (41.7%) males and 42 (58.3%) females, with an average age of (24.0±3.0) years. The trial group showed significantly better overall diagnostic accuracy for lung nodules (91.9% vs. 73.3%) and lung segment identification (100.0% vs. 83.70%) compared to the control group, and the reading time was significantly shorter [ (118.5±10.5) s vs. (332.1±20.2) s, P<0.01]. Questionnaire results indicated that 94.4% of the residents had a positive attitude toward AI technology, and 91.7% believed that it improved diagnostic accuracy. ConclusionAI-assisted teaching significantly improves thoracic surgery residents’ ability to read images and clinical thinking, providing a new direction for the reform of standardized training.
ObjectiveTo analyze the value of structured electronic medical records for pulmonary nodules in increasing the ability of outpatient service and hospital management by resident physicians.MethodsWe included 40 trainees [94 males and 26 females aged 22-31 (26.45±2.81) years] who were trained in the standardized training base for surgical residents in our hospital from January 2018 to January 2021. The trainees were randomly divided into two groups including a structured group using the structured electronic medical record for pulmonary nodule and an unstructured group using unstructured electronic medical record designed by our department. The time of completing hospitalization records and first-time course records, the quality of course records, the accuracy of issuing admission orders, the quality of teaching rounds, and patient’s satisfaction between the two groups were analyzed and compared.Results(1) The average time in the structured group to complete inpatient medical records was significantly shorter than that of the unstructured group (53.61±8.12 min vs. 84.25±16.09 min, P<0.010); the average time in the structured group to complete the first-time course record was shorter than that of the unstructured group (13.20±5.43 min vs. 27.51±8.62 min, P<0.010), and there was a significant statistical difference between the two groups. (2) The overall teaching round quality score of the students in the structured group was significantly higher than that in the unstructured group (84.21±15.61 vs. 70.91±12.28, P<0.010). (3) The score of the medical record writing quality of the structured group was significantly higher than that of the unstructured group (80.25±9.22 vs. 74.22±5.40, P<0.010).ConclusionThe structured electronic medical record specific for pulmonary nodules can effectively improve the training efficiency in the standardized training of surgical residents, improve the clinical ability to deal with pulmonary nodules, improve the integrity and accuracy of key clinical data collected by students, and improve doctor-patient relationship.
ObjectiveTo establish and internally validate a predictive model for poorly differentiated adenocarcinoma based on CT imaging and tumor marker results. MethodsPatients with solid and partially solid lung nodules who underwent lung nodule surgery at the Department of Thoracic Surgery, the Affiliated Brain Hospital of Nanjing Medical University in 2023 were selected and randomly divided into a training set and a validation set at a ratio of 7:3. Patients' CT features, including average density value, maximum diameter, pleural indentation sign, and bronchial inflation sign, as well as patient tumor marker results, were collected. Based on postoperative pathological results, patients were divided into a poorly differentiated adenocarcinoma group and a non-poorly differentiated adenocarcinoma group. Univariate analysis and logistic regression analysis were performed on the training set to establish the predictive model. The receiver operating characteristic (ROC) curve was used to evaluate the model's discriminability, the calibration curve to assess the model's consistency, and the decision curve to evaluate the clinical value of the model, which was then validated in the validation set. ResultsA total of 299 patients were included, with 103 males and 196 females, with a median age of 57.00 (51.00, 67.25) years. There were 211 patients in the training set and 88 patients in the validation set. Multivariate analysis showed that carcinoembryonic antigen (CEA) value [OR=1.476, 95%CI (1.184, 1.983), P=0.002], cytokeratin 19 fragment antigen (CYFRA21-1) value [OR=1.388, 95%CI (1.084, 1.993), P=0.035], maximum tumor diameter [OR=6.233, 95%CI (1.069, 15.415), P=0.017], and average density [OR=1.083, 95%CI (1.020, 1.194), P=0.040] were independent risk factors for solid and partially solid lung nodules as poorly differentiated adenocarcinoma. Based on this, a predictive model was constructed with an area under the ROC curve of 0.896 [95%CI (0.810, 0.982)], a maximum Youden index corresponding cut-off value of 0.103, sensitivity of 0.750, and specificity of 0.936. Using the Bootstrap method for 1000 samplings, the calibration curve predicted probability was consistent with actual risk. Decision curve analysis indicated positive benefits across all prediction probabilities, demonstrating good clinical value. ConclusionFor patients with solid and partially solid lung nodules, preoperative use of CT to measure tumor average density value and maximum diameter, combined with tumor markers CEA and CYFRA21-1 values, can effectively predict whether it is poorly differentiated adenocarcinoma, allowing for early intervention.
ObjectiveTo explore the safety and feasibility of 3D precise localization based on anatomical markers in the treatment of pulmonary nodules during video-assisted thoracoscopic surgery (VATS).MethodsFrom June 2019 to April 2015, 27 patients with pulmonary nodules underwent VATS in our Hospital were collected in the study, including 3 males and 24 females aged 51.8±13.7 years. The surgical data were retrospectively reviewed and analyzed, such as localization time, localization accuracy rate, pathological results, complication rate and postoperative hospital stay.ResultsA total of 28 pulmonary nodules were localized via this method. All patients received surgery successfully. No mortality or major morbidity occurred. The general mean localization time was 17.6±5.8 min, with an accuracy of 96.4%. The mean diameter of pulmonary nodules was 14.0±8.0 mm with a mean distance from visceral pleura of 6.5±5.4 mm. There was no localization related complication. The mean postoperative hospital stay was 6.7±4.3 d. The routine pathological result showed that 78.6% of the pulmonary nodules were adenocarcinoma.Conclusion3D precise localization based on anatomical markers in the treatment of pulmonary nodules during thoracoscopic surgery is accurate, safe, effective, economical and practical, and it is easy to master with a short learning curve.
Increasing peripheral pulmonary nodules are detected given the growing adoption of chest CT screening for lung cancer. The invention of electromagnetic navigation bronchoscope provides a new diagnosis and treatment method for pulmonary nodules, which has been demonstrated to be feasible and safe, and the technique of microwave ablation through bronchus is gradually maturing. The one-stop diagnosis and treatment of pulmonary nodules can be completed by the combination of electromagnetic navigation bronchoscopy and microwave ablation, which will help achieve local treatment through the natural cavity without trace.
ObjectiveTo explore the clinical utility and safety of electromagnetic navigation bronchoscopy (ENB)-guided microwave ablation (MWA) in the patients with inoperable high-risk pulmonary nodules.MethodsClinical data of patients who were diagnosed with inoperable pulmonary nodules highly suspected as malignant tumors and treated with ENB-guided MWA in Zhongshan Hospital, Fudan University from December 2019 to September 2020 were retrospectively collected and analyzed to evaluate the efficacy and safety of the procedure. There were 6 males and 3 females aged 72.0 (59.5-77.0) years.ResultsTotally ENB-guided MWA was performed in 9 patients with 12 lesions. All patients suffered from at least one chronic comorbidity. The inoperable reasons included poor pulmonary function (55.6%), comorbidities of other organs which made the surgery intolerable (33.3%), multiple lesions in different lobes or segments (22.2%), personal wills (22.2%) and advanced in age (11.1%). The median diameter of nodules was 13.5 (9.5-22.0) mm and the median distance from the edge of nodules to pleura was 5.3 (1.8-16.3) mm. Bronchoscope maneuver to the targeted lesions was manipulated according to navigation pathway under visual and X-ray guidance and confirmed with radial ultrasound probe. Rapid on-site evaluation also helped with primary pathological confirmation of biopsy specimen. Among all the lesions, 4 adenocarcinoma, 1 non-small cell lung cancer-not otherwise specified and 2 inflammatory lesions were reported in postoperative pathological diagnosis, while no malignant cells were found in 5 specimens. The ablation success rate was 83.3% (10/12). For the two off-targeted lesions, percutaneous ablations were performed as salvage treatment subsequently. The median hospitalization time was 3.0 (2.0-3.0) days and no short-term complications were reported in these patients.ConclusionENB-guided MWA is a safe and effective procedure for patients with high-risk pulmonary nodules when thoracic surgery cannot be tolerated.
ObjectiveTo systematically evaluate the short-term efficacy and safety of lung subsegmentectomy and segmentectomy in the treatment of small pulmonary nodules. MethodsComputer searches were conducted on PubMed, The Cochrane Library, EMbase, Scopus, Web of Science, SinoMed, Wanfang Data, VIP, and CNKI databases to collect relevant literature on the short-term efficacy and safety of lung subsegmentectomy and segmentectomy for small pulmonary nodules from the inception to April 2024. Two researchers independently screened the literature and extracted data according to inclusion and exclusion criteria. Meta-analysis was performed using RevMan 5.4 software, and the Newcastle-Ottawa Scale (NOS) was used to assess the quality of the selected literature. ResultsA total of 15 retrospective cohort studies with 2417 patients were included, among whom 796 patients underwent lung subsegmentectomy and 1621patients underwent segmentectomy. The NOS scores of the included literature were all≥6 points. Meta-analysis results showed that compared with segmentectomy, lung subsegmentectomy had a lower overall postoperative complication rate [OR=0.54, 95%CI (0.39, 0.75), P<0.01] and fewer lymph nodes dissected [MD=−0.43, 95%CI (−0.81, −0.06), P=0.02]. There was no statistical difference between the two surgical methods in terms of operation time [MD=5.11, 95%CI (−4.02, 14.23), P=0.27], intraoperative blood loss [MD=−14.62, 95%CI (−29.58, 0.34), P=0.06], postoperative hospital stay [MD=−0.24, 95%CI (−0.49, 0.01), P=0.06], postoperative drainage time [MD=−0.14, 95%CI (−0.46, 0.18), P=0.40], intraoperative margin width [MD=0.10, 95%CI (−0.16, 0.35), P=0.46], or recurrence rate [OR=1.57, 95%CI (0.53, 4.61), P=0.42]. Subgroup analysis results showed that when using uniportal video-assisted thoracoscopy for surgery, compared with segmentectomy, lung subsegmentectomy had less intraoperative blood loss [MD=−15.57, 95%CI (−28.84, −2.30), P=0.02], shorter postoperative hospital stay [MD=−0.49, 95%CI (−0.63, −0.35), P<0.01], shorter postoperative drainage time [MD=−0.19, 95%CI (−0.35, −0.03), P=0.02], and lower overall complication rate [OR=0.55, 95%CI (0.31, 0.98), P=0.04]. ConclusionLung subsegmentectomy can achieve similar efficacy as segmentectomy and has a lower overall postoperative complication rate. In terms of safety, lung subsegmentectomy can achieve a margin range close to that of segmentectomy. When performing uniportal thoracoscopic surgery, lung subsegmentectomy has advantages over segmentectomy in terms of intraoperative blood loss, postoperative hospital stay, and drainage time.
Objective To discuss the main pathological types and imaging characteristics of pulmonary nodules that are highly suspected to be malignant in clinical practice but are pathologically confirmed to be benign. Methods A retrospective analysis was performed on the clinical data of patients with pulmonary nodules who were initially highly suspected of malignancy but were subsequently pathologically confirmed to be benign. These patients were treated at the First Affiliated Hospital of Xiamen University from December 2020 to April 2023. Based on the outcomes of preoperative discussions, the patients were categorized into a benign group and a suspicious malignancy group. The clinical data and imaging characteristics of both groups were compared. Results A total of 232 patients were included in the study, comprising 112 males and 120 females, with a mean age of (50.7±12.0) years. Among these, 127 patients were classified into the benign group, while 105 patients were categorized into the suspicious malignancy group. No statistically significant differences were observed between the two groups regarding age, gender, symptoms, smoking history, or tumor history (P>0.05). However, significant differences were noted in nodule density, CT values, margins, shapes, and malignant signs (P＜0.05). Further analysis revealed that in the suspicious malignancy group, solid nodules were predominantly characterized by collagen nodules and fibrous tissue hyperplasia (33.3%), followed by tuberculosis (20.4%) and fungal infections (18.5%). In contrast, non-solid nodules were primarily composed of collagen nodules and fibrous tissue hyperplasia (41.2%) and atypical adenomatous hyperplasia (17.7%). ConclusionBenign pulmonary nodules that are suspected to be malignant are pathologically characterized by the presence of collagen nodules, fibrous tissue hyperplasia, tuberculosis, atypical adenomatous hyperplasia, and fungal infections. Radiologically, these nodules typically present as non-solid lesions and may exhibit features suggestive of malignancy, including spiculation, lobulation, cavitation, and pleural retraction.
ObjectiveTo evaluate the diagnostic value of endobronchial ultrasound technology in combination with LungPoint virtual navigation system for pulmonary peripheral nodules. MethodsRetrospective analysis of 317 patients with peripheral pulmonary nodules who underwent endobronchial ultrasound at the endoscopy center of Shanghai Pulmonary Hospital from January 2021 to March 2022 was used as the study population. They were divided into the endobronchial ultrasound group (EBUS-GS group) and the virtual navigation combined with endobronchial ultrasound group (VBN+EBUS-GS group) according to whether the path was planned with the LungPoint virtual navigation system preoperatively or not. The diagnostic rate, bronchoscopic arrival rate, arrival time, operation time and complications were compared between the EBUS-GS group and the VBN+EBUS-GS group, and the factors associated with the diagnostic rate of endobronchial ultrasound were analyzed. ResultsThere were 101 malignant nodules and 216 benign nodules. The mean size of lung nodules was (1.9±0.7) cm and (1.8±0.6) cm in the EBUS-GS and VBN+EUBS-GS groups, respectively (P>0.05); The time to reach the lesions was 7 (5 - 9) and 4 (3 - 5) min, and the total operation time was 18 (16 - 20) and 16 (14 - 18) min, respectively (P<0.05). The arrival rates of endobronchial ultrasound in the two groups was 82.6% and 98.1% (P<0.05), respectively. The overall diagnostic rate, malignant nodule diagnostic rate and benign nodule diagnostic rate of the two groups were 61.3% vs. 64.8%, 67.9% vs. 68.6% and 57.6% vs. 63.1% respectively (P>0.05). There was one pneumothorax in the EBUS-GS group after examination (0.6%, 1/155). No complications such as hemoptysis or infection occurred in all patients. ConclusionsLungPoint virtual navigation can significantly improve the arrival rate of lesions under endobronchial ultrasound, significantly reduce the arrival time of endobronchial ultrasound to the lesions and the total operation time, which is beneficial to improve the efficiency of clinical examination.