[Efficacy and Safety of Medical Thoracoscopic Bulla Volume Reduction in the Treatment of Chronic Obstructive Pulmonary Disease Combined With Giant Emphysematous Bullae]

Objective

To explore the efficacy and safety of medical thoracoscopic bulla volume reduction for the treatment of chronic obstructive pulmonary disease (COPD) combined with giant emphysematous bullae (GEB).

Methods

A total of 66 patients with COPD combined with GEB were enrolled in the study. All the subjects received treatment at Zhengzhou Central Hospital affiliated with Zhengzhou University between March 2021 and December 2022. The subjects were divided into two groups, a medical thoracoscope group consisting of 30 cases treated with medical thoracoscopic bulla volume reduction and a surgical thoracoscope group consisting of 36 cases treated by video-assisted thoracoscopic surgery. All patients were followed up before discharge and 3 months and 6 months after discharge. The preoperative and postoperative levels of the pulmonary function, 6-minute walk distance (6MWD), and St. George's Respiratory Questionnaire (SGRQ) scores and differences in postoperative complications were compared between the two groups. The operative duration, postoperative length-of-stay, and surgical costs and hospitalization bills, and the maximum visual analog scale (VAS) pain scores at 24 h after the procedure were assessed.

Results

The baseline data of the two groups were comparable, showing no statistically significant difference. The forced expiratory volume in 1 second (FEV1) 6 months after the procedures improved in both the medical thoracoscopy group ([0.78±0.29] L vs. [1.02±0.31] L, P<0.001) and the surgical thoracoscopy group ([0.80±0.21] L vs. [1.03±0.23] L, P<0.001) compared to that before the procedures. Improvements to a certain degree in 6MWT and SGRQ scores were also observed in the two groups at 3 months and 6 months after the procedures (P<0.05). In addition, no statistically significant difference in these indexes was observed during the follow-up period of the patients in the two groups. There was no significant difference in operating time between the two groups. The medical thoracoscopy group had shorter postoperative length-of-stay ([7.3±2.6] d) and 24-hour postoperative VAS pain scores (3.0 [2.0, 3.3]) than the surgical thoracoscopic group did ([10.4±4.3] d and 4.5 [3.0, 5.0], respectively), with the differences being statistically significant (P<0.05). Surgical cost and total hospitalization bills were lower in the medical thoracoscopy group than those in the surgical thoracoscopy group (P<0.05). The complication rate in the medical thoracoscopy group was lower than that in the surgical thoracoscopy group (46.7% vs. 52.8%), but the difference was not statistically significant.

Conclusion

Medical thoracoscopic reduction of bulla volume can significantly improve the pulmonary function, quality of life, and exercise tolerance of patients with COPD combined with GEB, and it can reduce postoperative short-term pain and shorten postoperative length-of-stay. The procedure has the advantages of minimal invasiveness, quick recovery, and low costs. Hence extensive clinical application is warranted.

[Whole-brain parcellation for macaque brain magnetic resonance images based on attention mechanism and multi-modality feature fusion]

OBJECTIVE

We propose a novel deep learning algorithm based on attention mechanism and multimodality feature fusion (DDAM) to achieve whole-brain parcellation of macaque brain magnetic resonance (MR) images.

METHODS

We collected multimodality brain MR images of 68 macaques (aged 13 to 36 months) with corresponding ground truth labels. To address the complexity and complementary nature of the multimodality data, we employed a multi- encoder structure to adapt to different modalities and performed feature extraction. In the decoder, an attention mechanism was introduced to construct the Attention-based Multimodality Feature Fusion module (AMFF). Leveraging the rich and complementary information between modalities, AMFF effectively integrated multimodality features of varying scales and complexities to enhance the performance of parcellation. We conducted ablation experiments and statistically analyzed the results.

RESULTS

The incorporation of the multi- encoder structure and attention mechanism significantly improved the performance of the network for integrating the multimodality features, and achieved an average DSC of 0.904 and an ASD as low as 0.131 for macaque whole-brain parcellation (P < 0.05). The ablation experiments validated the effectiveness of each component of the DDAM method.

CONCLUSION

The proposed DDAM method, with its enhanced ability to extract and integrate multimodality features, can significantly improve the accuracy of whole-brain MR image segmentation.

[Clinical Characteristics and Prognosis of 76 Lung Adenocarcinoma Patients Harboring EGFR Mutations with Pleural Effusion at Initial Diagnosis: A Single-center Retrospective Study]

BACKGROUND

Malignant pleural effusion is one of the common clinical manifestations of patients with lung adenocarcinoma. Patients with pleural effusion at the initial diagnosis of lung adenocarcinoma usually indicate poor prognosis. Epidermal growth factor receptor (EGFR) mutations mainly occur in patients with lung adenocarcinoma. Patients with different mutant subtypes have different prognosis. The clinical characteristics and prognostic factors of patients with EGFR mutated lung adenocarcinoma of different molecular subtypes combined with pleural effusion at initial diagnosis are still unclear. This study was designed to explore the clinical characteristics and prognostic factors of these patients in order to provide management recommendations for them.

METHODS

A retrospective analysis of the clinical characteristics, treatment, outcomes and progression-free survival (PFS) of first-line treatment in patients with EGFR mutated lung adenocarcinoma combined with pleural effusion at initial diagnosis admitted to Department of Medical Oncology and Radiation Sickness, Peking University Third Hospital from January 2012 to June 2021 was performed. Pearson's chi-square test or Fisher's exact test were performed for comparison between groups. Kaplan-Meier method was performed for survival analysis and Cox proportional risk regression model was performed for multivariate analysis.

RESULTS

76 patients met the inclusion criteria in this study. The incidences of EGFR classical mutations 19del, 21L858R and non-classical mutations were 46.0%, 38.2% and 15.8%, respectively among these patients. There was no significant difference between the three mutations in terms of gender, age, presence of dyspnea at presentation, whether other distant metastases were combined, site of pleural effusion, volume of pleural effusion, presence of other combined effusions, tumor-node-metastasis (TNM) stage, presence of other gene mutations, and treatment of pleural effusion (P>0.05). In patients with EGFR classical mutations 19del or 21L858R or non-classical mutations subtype, the proportion of chemotherapy in first-line regimens were 17.1%, 20.7% and 58.3%, respectively (P=0.001); and first-line disease control rates were 94.3%, 75.9% and 50%, respectively (P=0.003); pleural effusion control rates were 94.3%, 79.3% and 66.7%, respectively (P=0.04); PFS were 287 d, 327 d and 55 d, respectively (P=0.001). Univariate analysis showed that EGFR mutation subtype, control of pleural effusion, first-line treatment agents, and first-line treatment efficacy were significantly associated with PFS (P<0.05). Cox multifactorial analysis showed that only EGFR mutation subtype and first-line treatment efficacy were independent prognostic factors for PFS (P<0.05).

CONCLUSIONS

PFS was significantly better for classical mutations than for non-classical mutations in patients with EGFR mutated lung adenocarcinoma combined with pleural effusion at initial diagnosis. Improving the efficacy of first-line therapy is the key to improve the prognosis of these patients.

[Comparison of femoral oval tunnel technique and round tunnel technique in single-bundle anterior cruciate ligament reconstruction]

OBJECTIVE

To evaluate the effectiveness of femoral oval tunnel technique versus round tunnel technique in single-bundle anterior cruciate ligament (ACL) reconstruction.

METHODS

Between March 2016 and February 2018, 125 patients who underwent anatomical single-bundle ACL reconstruction with hamstring tendon and met the inclusive criteria were included in the retrospective study. Of the included patients, 43 patients underwent ACL reconstruction using oval tunnel technique (group A) and 82 patients with round tunnel technique (group B). There was no significant difference between the two groups in terms of age, gender, body mass index, the interval between injury and operation, the injured side, the cause of injury, and preoperative Lysholm score, International Knee Documentation Committee (IKDC) score, Tegner score, and the outcome of KT-1000 measurement ( P>0.05). At 3, 6, 12, and 24 months after operation, the knee function scores (Lysholm score, IKDC score, Tegner score) were recorded; and KT-1000 was used to evaluate the knee stability. The position and shape of the tunnels were evaluated by the three-dimensional CT (3D-CT) at 1 day after operation; and MRI was performed at 6, 12, and 24 months to calculate the signal/noise quotient (SNQ) of ACL grafts. Secondary arthroscopy was conducted to estimate the graft status, synovial coverage, and tension.

RESULTS

All patients were followed up 12-26 months (mean, 23 months). Two patients in group A and 5 patients in group B presented with redness and swelling of the surgical site, 1 patient in group B sustained a tibial tunnel fracture, and 1 patient in group A had postoperative stiffness. The Lysholm score, IKDC score, and Tegner score were significantly higher in group A than in group B at the different time points ( P<0.05) except for the Tegner score at 3 months. The outcomes of KT-1000 measurement were significantly lower in group A than in group B ( P<0.05). The entrances of the femoral tunnel and tibial tunnel in both groups were within the ACL anatomical footprint confirmed by 3D-CT. No re-rupture of ACL occurred confirmed by the MRI. There was no significant difference in SNQs of the middle and distal grafts between the two groups at 6 months ( P>0.05), whereas the SNQ of the proximal grafts in group A was significantly lower than that in group B ( P<0.05). The SNQs of the proximal, middle, and distal grafts in group A were significantly lower than those in group B at 12 and 24 months after operation ( P<0.05). Twenty-one patients in group A and 38 patients in group B underwent secondary arthroscopy and the results showed no significant difference in graft status, synovial coverage, and tension between the two groups ( P>0.05).

CONCLUSION

The effectiveness and graft maturity of the femoral oval tunnel technique were superior to the round tunnel technique. The single-bundle ACL reconstruction with femoral oval tunnel technique can obtain a better knee function.

[High-quality reconstruction of four-dimensional cone beam CT from motion registration prior image]

Four-dimensional cone beam CT (4D-CBCT) imaging can provide accurate location information of real-time breathing for imaging-guided radiotherapy. How to improve the accuracy of 4D-CBCT reconstruction image is a hot topic in current studies. PICCS algorithm performs remarkably in all 4D-CBCT reconstruction algorithms based on CS theory. The improved PICCS algorithm proposed in this paper improves the prior image on the basis of the traditional PICCS algorithm. According to the location information of each phase, the corresponding prior image is constructed, which completely eliminates the motion blur of the reconstructed image caused by the mismatch of the projection data. Meanwhile, the data fidelity model of the proposed method is consistent with the traditional PICCS algorithm. The experimental results showed that the reconstructed image using the proposed method had a clearer organization boundary compared with that of images reconstructed using the traditional PICCS algorithm. This proposed method significantly reduced the motion artifact and improved the image resolution.

[Low-dose digital breast tomosynthsis imaging via noise correlation based penalized weighted least-squares algorithm]

OBJECTIVE

To achieve low-dose digital breast tomosynthsis (DBT) projection recovery using penalized weighted least square algorithm incorporating accurate modeling of the variance of the projection data and noise correlation in the flat panel detector.

METHODS

Models were established for the quantal noise and electronic noise in the DBT system to construct the penalized weighted least squares algorithm based on noise correlation for projection data restoration. The filter back projection algorithm was then used for DBT image reconstruction.

RESULTS

The reconstruction results of the ACR phantom data at different dose levels showed a good performance of the proposed method in noise suppression and detail preservation. CNRs and LSNRs of the reconstructed images from the restored projections were increased by about 3.6 times compared to those of reconstructed images from the original projections.

CONCLUSIONS

The proposed method can significantly reduce noise and improve the quality of DBT images.

[Influence of projection data correction on digital breast tomosynthesis imaging]

OBJECTIVE

To investigate the effect of detector performance during digital breast tomography (DBT) projection data acquisition on reconstructed image quality.

METHODS

With reference to the traditional detector data correction method and the specific data acquisition pattern in DBT imaging, we utilized dark field correction, light field and its gain correction for processing the projection data collected by the detector. The reconstructed images were evaluated using iterative reconstruction method based on total generalized variation (TGV).

RESULTS

In physical breast phantom experiment, the proposed method resulted in a reduced Heel effect caused by nonuniform photon number. The reconstructed DBT images after correction showed obviously improved image quality especially in the details with a low contrast.

CONCLUSION

The dark field correction, light field and its gain correction process for DBT image reconstruction can improve the image quality.