Precision of pleural puncture sites using thoracic ultrasound.

INTRODUCTION: Lung ultrasound (LUS) has been recommended by the British Thoracic Society as a standard of care before performing pleural procedures since 2010. Indeed, the choice of the puncture site based only on physical examination and chest x-ray can lead to complications. The aim of this study was to compare the accuracy of pleural puncture sites using LUS as opposed to clinical examination. METHODS: An evaluative prospective study including 43 patients hospitalized in the pneumology department at the Military Hospital of Tunis was conducted between January and November 2021.Pleural puncture sites were proposed by two groups involving 'senior' and 'junior' physicians, classified according to their experience and grades, based on the clinical examination and the chest x-ray findings. The accuracy of the proposed sites was then verified by an ultrasound-qualified "expert" using LUS. RESULTS: The mean age was 60 ± 17 years. LUS revealed the presence of pleural effusion in 88% of the cases (n=38). Differential diagnosis was therefore excluded in 12% of the cases (n=5), including pleural thickening (5%, n=2) and atelectasis (7%, n=3). Compared to LUS, clinical examination and chest x-ray had lower sensitivities, estimated at 74% and 83%, respectively. The clinical identification error rate was significantly higher in junior (77%) compared to senior physicians (49%) (p<0.05). LUS prevented possible accidental organ puncture in 36% of the cases (n=31). The risk factors associated with inaccurate clinical site selection included right-sided effusion and minimal pleural effusion on chest radiography, with an estimated relative risk (RR) of 1.44 [CI95%:0.56-3.72] and 1.82 [CI95%:0.52-6.40], respectively. The experience of the senior physicians influenced the choice of the clinical sites with moderate agreement (Kappa index: 0.4-0.6). CONCLUSION: Compared to the ACPA- group, the ACPA+ one had more lung-hyperinflation and OVI, and comparative percentages of RVI, MVI, and NSVI. CONCLUSION: LUS significantly improves the accuracy of pleural puncture sites, thus minimizing the risk of complications regardless of the operator's level of clinical experience.

Visualización de cavidad pleural a través de broncoscopia flexible debido a gran fístula broncopleural / Visualization of the Pleural Space During a Flexible Bronchoscopy due to Bronchopleural Fistula

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[Translated article] Visualization of the Pleural Space During a Flexible Bronchoscopy due to Bronchopleural Fistula / Visualización de cavidad pleural a través de broncoscopia flexible debido a gran fístula broncopleural

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CT-guided microcoil localization of pulmonary nodules: the effect of the position of microcoil proximal end on the incidence of microcoil dislocation.

OBJECTIVES: To evaluate the effect of the position of microcoil proximal end on the incidence of microcoil dislocation during CT-guided microcoil localization of pulmonary nodules (PNs). METHODS: This retrospective study included all patients with PNs who received CT-guided microcoil localization before video-assisted thoracoscopic urgery (VATS) resection from June 2016 to December 2019 in our institution. The microcoil distal end was less than 1 cm away from the nodule, and the microcoil proximal end was in the pleural cavity (the pleural cavity group) or chest wall (the chest wall group). The length of microcoil outside the pleura was measured and divided into less than 0.5 cm (group A), 0.5 to 2 cm (group B) and more than 2 cm (group C). Microcoil dislocation was defined as complete retraction into the lung (type I) or complete withdrawal from the lung (type II). The rate of microcoil dislocation between different groups was compared. RESULTS: A total of 519 consecutive patients with 571 PNs were included in this study. According to the position of microcoils proximal end on post-marking CT, there were 95 microcoils in the pleural cavity group and 476 in the chest wall group. The number of microcoils in group A, B, and C were 67, 448 and 56, respectively. VATS showed dislocation of 42 microcoils, of which 30 were type II and 12 were type I. There was no statistical difference in the rate of microcoil dislocation between the pleural cavity group and the chest wall group (6.3% vs 7.6%, x2 = 0.18, p = 0.433). The difference in the rate of microcoil dislocation among group A, B, and C was statistically significant (11.9%, 5.8%, and 14.3% for group A, B, and C, respectively, x2 = 7.60, p = 0.008). In group A, 75% (6/8) of dislocations were type I, while all eight dislocations were type II in group C. CONCLUSIONS: During CT-guided microcoil localization of PNs, placing the microcoil proximal end in the pleura cavity or chest wall had no significant effect on the incidence of microcoil dislocation. The length of microcoil outside the pleura should be 0.5 to 2 cm to reduce the rate of microcoil dislocation. ADVANCES IN KNOWLEDGE:: CT-guided microcoil localization can effectively guide VATS to resect invisible and impalpable PNs. Microcoil dislocation is the main cause of localization failure. The length of microcoil outside the pleura is significantly correlated with the rate and type of microcoil dislocation. Placing the microcoil proximal end in the pleura cavity or chest wall has no significant effect on the rate of microcoil dislocation.

Study to identify incidence and risk factors associated Residual pleural opacity in tubercular pleural effusion.

INTRODUCTION: Residual pleural opacity (RPO) is a common radiographic sequela in patients with tubercular pleural effusion at the end of the treatment. This study was designed to find out the risk factors associated with residual pleural opacity (RPO). MATERIALS & METHODS: This was a prospective longitudinal study performed to analyse data of 56 patients (46 males & 10 females) who were diagnosed as tubercular pleural effusion and treated for the same between 1st Jan 2019 to 30th March 2020. Chest X-ray posteroanterior & Lateral view was done (performed) at 0 and 6 months of treatment to quantify the amount of pleural effusion and measured the residual pleural opacity at the end of the treatment. RPO included both non resolving pleural effusion as well as residual pleural thickening (RPT). All statistical analysis was done using SPSS version 20.0 (SPSS Inc., Chicago, IL, USA). Multivariate logistic regression was performed to explore the association of risk factors and Residual pleural opacity. The statistical significance level was set at 0.05 (two-tailed). RESULTS: The incidence of Residual pleural opacity (RPO) at the end of 6 months of antituberculosis treatment was 53.57% (30/56)). The study patients were divided into RPO and non- RPO group. Male gender had significantly higher incidence of RPO (93.3% vs 69.2% P = 0.01)). Patients with RPO group had significantly more cough and weight loss as compared to non RPO group (96.6% vs 65.3% P = 0.002 and 60% vs 23% P = 0.005). The proportion of patients who underwent therapeutic aspiration and gained weight of more than 5kg during treatment (19.5% vs 7.6% P = 0.02 & 46.6% vs 7.6% P = 0.001) was significantly higher in RPO group. A significantly lower protein, glucose and higher LDH level in pleural fluid was observed in the RPO group compared to non-RPO group (P = 0.006, P = 0.01, P = 0.001)). No significant difference was found in the pleural fluid ADA, lymphocyte, neutrophil levels between the two groups (p > 0.05). Logistic regression analysis showed that the male gender, low pleural fluid glucose, presence of cough and weight loss were associated with significantly increased risk of residual pleural opacity and thickening (p < 0.05). CONCLUSION: Tubercular pleural effusion is associated with residual pleural opacity in more than half of the patients. Male gender and low glucose levels in pleural fluid was associated with increased risk of residual pleural opacity.

[Anatomometric characteristics and pleural cavity changes after pneumonectomy]. / Anatomo-metricheskaya kharakteristika i dinamika izmenenii plevral'noi polosti posle pnevmonektomii.

OBJECTIVE: To analyze the anatomometric characteristics of post-pneumonectomy cavity and their changes at various times after surgery. MATERIAL AND METHODS: The study included 47 patients aged 39-75 years after pneumonectomy (right-sided - 23 cases, left-sided - 24 cases). Computed tomography was performed prior to surgery, in 10-12 days, 6 and 12 months after intervention. Transverse, anteroposterior dimensions, height and volume of pleural cavity were evaluated using CT scans and 3D models. RESULTS: Post-pneumonectomy cavity decreases and changes own shape in postoperative period. Reduction is mainly caused by decrease in its height. The volume of post-pneumonectomy cavity was decreased in early postoperative period by 1.8 times compared to preoperative values (from 3351.5±150.0 cm3 to 2112.1±152.6 cm3 on the right side and from 2674.3±125.2 cm3 to 1460.1±84.1 cm3 on the left side). After 12 months, this value was reduced by 3.68 times compared to early postoperative period (714.3±100.7 cm3 on the right and 401.5±42.5 cm3 on the left). The shape changes consist of flattening and sinus depth reduction. Exudate density was similar throughout a year. The capsule was formed in 74.1% of patients after 12 months. There was no correlation between the cavity reduction and patient constitution. CONCLUSION: Post-pneumonectomy cavity is a dynamically changing anatomical formation participating in the mechanisms of compensation for changes after pneumonectomy. The most significant collapse of post-pneumonectomy cavity occurs in early postoperative period. Cavity reduction degree does not depend on individual characteristics of patients.

Deep learning to detect acute respiratory distress syndrome on chest radiographs: a retrospective study with external validation.

BACKGROUND: Acute respiratory distress syndrome (ARDS) is a common, but under-recognised, critical illness syndrome associated with high mortality. An important factor in its under-recognition is the variability in chest radiograph interpretation for ARDS. We sought to train a deep convolutional neural network (CNN) to detect ARDS findings on chest radiographs. METHODS: CNNs were pretrained on 595 506 radiographs from two centres to identify common chest findings (eg, opacity and effusion), and then trained on 8072 radiographs annotated for ARDS by multiple physicians using various transfer learning approaches. The best performing CNN was tested on chest radiographs in an internal and external cohort, including a subset reviewed by six physicians, including a chest radiologist and physicians trained in intensive care medicine. Chest radiograph data were acquired from four US hospitals. FINDINGS: In an internal test set of 1560 chest radiographs from 455 patients with acute hypoxaemic respiratory failure, a CNN could detect ARDS with an area under the receiver operator characteristics curve (AUROC) of 0·92 (95% CI 0·89-0·94). In the subgroup of 413 images reviewed by at least six physicians, its AUROC was 0·93 (95% CI 0·88-0·96), sensitivity 83·0% (95% CI 74·0-91·1), and specificity 88·3% (95% CI 83·1-92·8). Among images with zero of six ARDS annotations (n=155), the median CNN probability was 11%, with six (4%) assigned a probability above 50%. Among images with six of six ARDS annotations (n=27), the median CNN probability was 91%, with two (7%) assigned a probability below 50%. In an external cohort of 958 chest radiographs from 431 patients with sepsis, the AUROC was 0·88 (95% CI 0·85-0·91). When radiographs annotated as equivocal were excluded, the AUROC was 0·93 (0·92-0·95). INTERPRETATION: A CNN can be trained to achieve expert physician-level performance in ARDS detection on chest radiographs. Further research is needed to evaluate the use of these algorithms to support real-time identification of ARDS patients to ensure fidelity with evidence-based care or to support ongoing ARDS research. FUNDING: National Institutes of Health, Department of Defense, and Department of Veterans Affairs.

Contrast-Enhanced Ultrasound of the Pleural Cavity: A Method to Locate Pleural Catheters and Identify Fibrous Septa.

We aimed to explore the value of contrast-enhanced ultrasound (CEUS) of the pleural cavity in locating catheters and identifying fibrous septa and to compare CEUS with multiple existing methods. We included 304 participants whose pleural effusion could not continue to be drained and compared the catheter-localization capabilities of empirical diagnosis, B-mode ultrasound with normal saline and CEUS, with computed tomography as the reference standard. CEUS performed the best (accuracy, 100%; sensitivity, 100%; specificity, 100%), followed by B-mode ultrasound with normal saline (accuracy, 77.78%; sensitivity, 62.5%; specificity, 100%), and finally empirical diagnosis (accuracy, 54.17%; sensitivity, 66.67%; specificity, 33.33%). The capabilities of CEUS and computed tomography to identify fibrous septa were evaluated, with B-mode ultrasound as the reference, and CEUS (accuracy, 100%; sensitivity, 100%; specificity, 100%) was superior to computed tomography (accuracy, 82.41%; sensitivity, 26.09%; specificity, 97.65%). Overall, CEUS can accurately locate catheters and identify fibrous septa, with performance superior to existing methods.

Impact of Confounding Thoracic Tubes and Pleural Dehiscence Extent on Artificial Intelligence Pneumothorax Detection in Chest Radiographs.

OBJECTIVES: We hypothesized that published performances of algorithms for artificial intelligence (AI) pneumothorax (PTX) detection in chest radiographs (CXRs) do not sufficiently consider the influence of PTX size and confounding effects caused by thoracic tubes (TTs). Therefore, we established a radiologically annotated benchmarking cohort (n = 6446) allowing for a detailed subgroup analysis. MATERIALS AND METHODS: We retrospectively identified 6434 supine CXRs, among them 1652 PTX-positive cases and 4782 PTX-negative cases. Supine CXRs were radiologically annotated for PTX size, PTX location, and inserted TTs. The diagnostic performances of 2 AI algorithms ("AI_CheXNet" [Rajpurkar et al], "AI_1.5" [Guendel et al]), both trained on publicly available datasets with labels obtained from automatic report interpretation, were quantified. The algorithms' discriminative power for PTX detection was quantified by the area under the receiver operating characteristics (AUROC), and significance analysis was based on the corresponding 95% confidence interval. A detailed subgroup analysis was performed to quantify the influence of PTX size and the confounding effects caused by inserted TTs. RESULTS: Algorithm performance was quantified as follows: overall performance with AUROCs of 0.704 (AI_1.5) / 0.765 (AI_CheXNet) for unilateral PTXs, AUROCs of 0.666 (AI_1.5) / 0.722 (AI_CheXNet) for unilateral PTXs smaller than 1 cm, and AUROCs of 0.735 (AI_1.5) / 0.818 (AI_CheXNet) for unilateral PTXs larger than 2 cm. Subgroup analysis identified TTs to be strong confounders that significantly influence algorithm performance: Discriminative power is completely eliminated by analyzing PTX-positive cases without TTs referenced to control PTX-negative cases with inserted TTs. Contrarily, AUROCs increased up to 0.875 (AI_CheXNet) for large PTX-positive cases with inserted TTs referenced to control cases without TTs. CONCLUSIONS: Our detailed subgroup analysis demonstrated that the performance of established AI algorithms for PTX detection trained on public datasets strongly depends on PTX size and is significantly biased by confounding image features, such as inserted TTS. Our established, clinically relevant and radiologically annotated benchmarking cohort might be of great benefit for ongoing algorithm development.

Real-Time Detection of Hemothorax and Monitoring its Progression in a Piglet Model by Electrical Impedance Tomography: A Feasibility Study.

Hemothorax is a serious medical condition that can be life-threatening if left untreated. Early diagnosis and timely treatment are of great importance to produce favorable outcome. Although currently available diagnostic techniques, e.g., chest radiography, ultrasonography, and CT, can accurately detect hemothorax, delayed hemothorax cannot be identified early because these examinations are often performed on patients until noticeable symptoms manifest. Therefore, for early detection of delayed hemothorax, real-time monitoring by means of a portable and noninvasive imaging technique is needed. In this study, we employed electrical impedance tomography (EIT) to detect the onset of hemothorax in real time on eight piglet hemothorax models. The models were established by injection of 60 ml fresh autologous blood into the pleural cavity, and the subsequent development of hemothorax was monitored continuously. The results showed that EIT was able to sensitively detect hemothorax as small as 10 ml in volume, as well as its location. Also, the development of hemothorax over a range of 10 ml up to 60 ml was well monitored in real time, with a favorable linear relationship between the impedance change in EIT images and the volume of blood injected. These findings demonstrated that EIT has a unique potential for early diagnosis and continuous monitoring of hemothorax in clinical practice, providing medical staff valuable information for prompt identification and treatment of delayed hemothorax.

Malignant Phyllodes Tumor Recurrence in the Pleural Cavity via the Deep Inferior Epigastric Perforator Flap and Internal Mammary Vessel Bundle: A Case Report.

We report a rare case that after rapid recurrence there was pathological transition from a fibroadenoma and benign phyllodes tumor to borderline and malignant phyllodes tumor. Another rare finding included tumor dissemination in the pleural cavity via reconstructed deep inferior epigastric perforator flap edge and internal mammary vessel bundle. Hence, we eliminated the use of internal mammary vessel bundle as the recipient vessel for free-flap reconstruction to avoid recurrence in the pleural cavity. Remarkably, we achieved successful reconstruction of 2 huge defects (reconstruction of breast following mastectomy and that of chest wall following en bloc excision of recurrence) using 2 different free flaps.

Shear-Wave Elastography in the Characterization of Pleural Effusions.

The aim of the study was to investigate the efficacy of shear-wave elastography (SWE) in the differentiation of transudative and exudative pleural effusions. This monocentric study comprised 60 cases (17 transudative, 43 exudative).Transthoracic SWE was performed in 60 cases for whom to use thoracentesis for the pleural fluid analysis was planned. The mean SWE values of each patient were recorded, and the correlation between the biochemical analysis results of pleural fluid after thoracentesis and SWE findings was evaluated. The effusion SWE values and biochemical analysis results were compared. Of the 60 patients who participated in this study, 32 (53.4) were male and 28 (46.6%) were female. The mean ± SD age was 59 ± 17.09 years (range = 21-89 years). Simultaneous serum biochemical analysis was performed for the patients with PE. The mean ± SD shear-wave velocity value of the transudative fluid was calculated 2.29 ± 0.41 (1.6-2.94), whereas the mean ± SD shear-wave velocity value of the exudative pleural fluid was calculated as 3.29 ± 0.63 (2.01-4.88) (P < 0.001). The receiver operating characteristic analysis showed that sensitivity and specificity were found as 91% and 76.5%, respectively, when the cutoff value was selected as 2.52 m/s in the differentiation of the transudative and exudative effusions.Shear-wave elastography may help in the differentiation of transudative and exudative of the pleural effusions.

Multiple intercostal neurilemmomas in a Chinese woman.

Neurilemmomas are rare tumors of neural crest cell origin that occur most commonly in the head and neck region. Intercostal neurilemmomas are extremely rare and are mostly seen as solitary tumors in the posterior mediastinum. Only one case report of multiple intercostal neurilemmomas has been documented previously. In this article, we report a case of multiple intercostal neurilemmomas in a 54-year-old woman who had initially presented with progressive dull left chest pain over a 1-year period. A computed tomography scan revealed three tumors in the left thoracic cavity which were distributed as a string of beads along the third intercostal nerve. Histological and immunohistochemical testing confirmed a diagnosis of neurilemmomas. The patient underwent successful radical excision of the tumors through a thoracotomy approach, and her postoperative course was uneventful. Following the operation, she had no evidence of recurrences.