Diagnosis Of Pleural Effusion Research Articles

Suspected hepatic hydrothorax secondary to cirrhosis in a dog

AbstractAn 8‐year‐old, entire, female labrador retriever presented with a 2‐week history of abdominal distension. Biochemistry identified hepatic dysfunction (elevated hepatobiliary markers, hypocholesterolaemia). Abdominal ultrasonography documented an irregular liver and a large volume of anechoic peritoneal effusion, which laboratory analysis confirmed as a protein‐poor transudate. Thoracic computed tomography identified a moderate volume of pleural effusion with a similar composition to the peritoneal fluid. Hepatic histopathology was consistent with cirrhosis secondary to chronic hepatitis and, in the absence of another cause for the pleural effusion, hydrothorax secondary to the hepatic disease was suspected. The patient was started on ciclosporin for treatment of the underlying liver disease, but developed signs consistent with disseminated intravascular coagulopathy 24 hours later and was humanely euthanased. As reported in humans, hydrothorax may therefore occur secondary to cirrhosis in dogs and should be considered as a differential diagnosis for pleural effusion in patients with advanced hepatic disease and concurrent peritoneal effusion.

The diagnostic accuracy of HE4 in the differential diagnosis of pleural effusions

BackgroundPleural effusions are challenging to diagnose, with approximately 20–50% of malignant effusions not diagnosed by cytology. Human epididymal protein 4 (HE4) may be useful in the differential diagnosis of pleural effusions. In serum, this biomarker shows false-positive results in some benign diseases. The aim of this study was to evaluate the diagnostic utility of HE4 in this setting and to identify false positives. MethodsConcentrations of HE4, adenosine deaminase, % polynuclear cells, and C-reactive protein, were determined in 238 pleural fluid samples and the estimated glomerular filtration rate (eGFr) in serum. ResultsHE4 values ​​differed significantly (p < 0.01) between malignant [median (IQR)] [1065 (2085)] pmol/L and benign effusions [699 (589)] pmol/L. HE4 concentrations in gynecological and pulmonary tumors were significantly higher than in other tumors.For a cut-off point of 3050 pmol/L, 22 % sensitivity and 100 % specificity were obtained.In patients with benign disease, significant increases in HE4 were identified only in those with eGFr < 30 mL/min/1.73 m2 [1050(596)] pmol/L, and not in those with eGFr > 30 mL/min/1.73 m2 [597(532)] pmol/L).Two cut-offs were established for maximum specificity, depending on the eGFr: 3050 pmol/L for eGFr < 30 mL/min/1.73 m2 and 1992 pmol/L for eGFr > 30 mL/min/1.73 m2. A sensitivity of 28.5 % was obtained for patients with eGFr > 30 mL/min/1.73 m2 and 36.3 % for patients with eGFr < 30 mL/min/1.73 m2. The sensitivity using a specific cut-off point was 29.7 %. ConclusionsThe determination of HE4 in pleural fluids demonstrates high specificity and low sensitivity. The use of specific cutoff points that are clinically adjusted improves sensitivity while maintaining maximum specificity.

Study on the Consistency of Point-of-Care Ultrasound and Chest X-ray in the Diagnosis of Postoperative Thoracic Abnormalities in Children with Congenital Heart Disease

Objective: This study aimed to explore the consistency of point-of-care ultrasound (POCUS) and chest X-ray in the diagnosis of postoperative thoracic abnormalities in children with congenital heart disease. Methods: The clinical data of 68 children with congenital cardiosurgery in our hospital from January 2021 to August 2024 were retrospective analyzed. Six children were excluded, and 62 cases were finally included. POCUS was performed 24 hours after surgery. After the examination of POCUS, chest X-ray examination was conducted. The results of POCUS and chest X-ray examinations in children, as well as the clinical incidence of postoperative thoracic abnormalities were recorded. The effect of POCUS and chest X-ray in the diagnosis of postoperative thoracic abnormalities was compared. Results: POCUS had slightly higher diagnostic sensitivity of pleural effusion and atelectasis than chest X-ray. The sensitivity of POCUS in diagnosing pulmonary edema was consistent with that of chest X-ray. However, POCUS had slightly lower sensitivity in diagnosing pneumothorax than chest X-ray. The specificity of POCUS in diagnosing pneumothorax and atelectasis was consistent with that of chest X-ray. However, POCUS had slightly higher specificity in the diagnosis of pleural effusion and pulmonary edema than chest X-ray. The kappa values of POCUS and chest X-ray in diagnosing pleural effusion, pneumothorax, atelectasis and pulmonary edema were 0.546, 0.565, 0.502 and 0.701, respectively. Conclusion: POCUS and chest X-ray examinations have good consistency in the diagnosis of postoperative thoracic abnormalities in children with congenital heart disease.

B-314 Utility of he4 in differential diagnosis of pleural effusions

Abstract Background The usefulness of tumor markers in the differential diagnosis of cancer in patients with pleural effusions (PE) remains controversial. Few studies have reported the measurement of human epididymal protein 4 (HE4) in pleural fluid. HE4 is a tumor marker associated with different types of cancer. An elevated serum concentration has been observed in ovarian and lung cancers. Other benign pathologies can increase HE4 levels, which can be detect with different laboratory tests identified with adenosine deaminase (ADA), C-reactive protein (CRP), % polynuclear cell count (%PMN) and glomerular filtration rate (GFR) can be used in order to detect possible false positives. The objective of this study was to assess the diagnostic usefulness of HE4 in malignant pleural effusions by comparing HE4 concentrations between benign and malignant samples, while considering the causes of HE4 false positives. Methods HE4, ADA, differential leukocyte count, CRP and GFR concentrations were determined in 238 pleural effusion samples. Diagnostic efficacy analysis using receiver operating curves (ROC) identified the ability of HE4 to detect malignancy, searching for cut-off points with 100% specificity. Results HE4 concentrations showed significant differences (P&amp;lt;0.01) between malignant (median 1065pmol/L) and benign (median 699pmol/L) pleural effusions. Significant differences (P&amp;lt;0.01) were found in HE4 concentrations for gynecological and lung cancer origin (median 7397 pmol/L and 5150 pmol/L respectively) and other malignant pleural effusions (median 1065 pmol/L). Patients with benign diseases with renal failure showed a higher HE4 concentration (median 964pmol/L) than in patients without these pathologies (median 696pmol/L) identified with GFR&amp;lt;30 mL/min. No differences were demonstrated in HE4 concentration levels using ADA, differential leukocyte count or CRP, so only glomerular filtration rate was considered cause of false positives. A sensitivity of 23% was obtained for HE4, with a cut-off point of 3050pmol/L and a specificity of 100% for the whole group. In the potential false positive group, the sensitivity of HE4 was 28% with a cutoff point of 3050 pmol/L with a specificity of 100%. In the group without potential false positives, we obtained a sensitivity of 30% with a specificity of 100% for a cutoff point of 1992pmol/L. When we used a specific cut-off point for each group, we obtained a sensitivity of 38% with a specificity of 100%. Conclusions HE4 levels are higher in malignant pleural effusions compared to other pathologies. HE4 levels allow the identification of malignant pleural effusions with moderate sensitivity and maximum specificity. HE4 levels can differentiate between tumors of gynecological or lung origin and others. Glomerular filtration rate (GFR&amp;lt;30 mL/min) was considered the main cause of false positives. If we identify possible false positives, we can use specific cut-offs and improve sensitivity up to 38% with maximum specificity compared to using a single cut-off for all effusions.

Assessment of ultrasound-guided tru-cut needle pleural biopsy in the diagnosis of unexplained exudative pleural effusion compared to medical thoracoscopy

Background Ultrasound-guided needle biopsy (USGNB) allows for precise and immediate viewing of pleural lesions, effusions, and needle placement without ionizing radiation. This study aimed to assess the efficacy of US-guided tru-cut needle pleural biopsy in diagnosing unexplained exudative pleural effusion compared to medical thoracoscopy (MT), focusing on safety, accuracy, time, and cost of the treatment. Patients and methods This observational cross-sectional research was conducted on 40 patients over 18 years old, of both sexes, with unexplained exudative pleural effusion. The patients were randomly separated into two equal groups. The girst group is USGNB and the second group is MT. Results Group II exhibited substantially greater costs, sedation levels, procedure duration, biopsy site discomfort, surgical emphysema, lung expansion failure, and psychological distress compared to group I (P&lt;0.05). There was no notable disparity between the two groups regarding radiological detection of pleural effusion, pleural fluid properties, procedural observations, histological results, and diagnostic effectiveness. The duration of hospitalization was considerably shorter in group I compared to group II, assessed from the day of the operation to the day of release (P=0.001). Conclusion USGNB is an important tool in the diagnosis of pleural effusion after failure of pleural fluid analysis, which is performed by a chest physician is an accurate, safer, lower in cost, and shorter in duration with fewer complications compared with MT.

Association of PET/CT and VATS findings with histology analysis in the study of pleural effusions

IntroductionHistological analysis of the pleura obtained by video-assisted thoracoscopic surgery (VATS) is the best diagnostic technique in the study of neoplastic pleural effusions. This study evaluates the relationship between Positron Emission Tomography (PET)/Computed Tomography (CT) and VATS findings, the result of the first pleural biopsy, and the final diagnosis of malignancy or non-malignancy. MethodsProspective study of consecutive patients with pleural effusions undergoing PET/CT and VATS from October 2013 to December 2023. The following variables were recorded: PET/CT score (nodular pleural thickening, pleural nodules with standardized uptake value (SUV) > 7.5, lung mass or extra pleural malignancy, mammary lymph node with SUV > 4.5 and cardiomegaly); VATS data (drained volume, visceral and parietal pleural thickening, nodules or masses, septa, plaques, fluid appearance, trapped lung, and suspected diagnosis of the procedure), as well as the histological study of the first pleural biopsy (benign or malignant) and the final diagnosis of benign or malignant pleural effusion. A logistic regression study of the variables was performed. Results95.8% of the patients with PET/CT and pleuroscopy not suggestive of malignancy had non-malignant histological findings, while 93.2% of the patients with PET/CT and pleuroscopy suggestive of malignancy had malignant histological findings. PET/CT, pleuroscopy, and the result of the first pleural biopsy showed a significant association with the final diagnosis of pleural effusion. ConclusionsThere is a strong association between PET/CT findings, VATS and pleural histology.

Evaluation of pleural ?uid cytology for the diagnosis of pleural effusion: A retrospective study

Cytological examination of pleural fluid has good specificity for the diagnosis of malignant pleural effusion (MPE). (1). To study the incidence of non-neoplastic and neoplastic effusions; (2). To study most common cause of neoplastic effusions.This study is an Observational retrospective study that was conducted from April 2021 to October 2022 (1.5 years). This study was conducted in the Cytology section, Pathology Department, of a tertiary care centre, Gujarat, India. A total of 248 pleural fluid samples were studied among them 186 were benign effusions, 48 were malignant effusions, 10 cases were unsatisfactory for evaluation and 4 cases were suspicious for malignancy.A descriptive study was performed to know the incidence of benign and malignant effusion in the pleural fluid sample. Pneumonia was the most common clinical diagnosis followed by tuberculosis and malignancy. Lung was the most common primary site for pleural effusion. In females, ovarian carcinoma was the primary aetiology followed by breast carcinoma. Cytodiagnosis of pleural fluid represents the cell population from a much larger representative area than obtained from the needle biopsy.

Serum KL-6 : A Predictive Marker for Post Tubercular Fibrosis

The accurate diagnosis of pleural effusion remains a challenging clinical problem. Medical thoracoscopy has an established role in achieving the aetiology of pleural effusion. Pleural biopsies provide best results, but if cytological results can be shown to give concordant results, therapy can be instituted early.

Current perception and barriers to implementing lung ultrasound in Canadian neonatal intensive care units: a national survey.

Despite the growing body of literature supporting the use of point-of-care lung ultrasound (POC-LU) in neonates, its adoption in Canadian neonatal intensive care units (NICUs) remains limited. This study aimed to identify healthcare providers' perceptions and barriers to implementing POC-LU in Canadian NICUs. We conducted an electronic survey targeting neonatologists, neonatal fellows, neonatal nurse practitioners, and registered respiratory therapists in 20 Canadian NICUs. The survey comprised a 28-item questionnaire divided into four sections: (1) participants' demographics and availability of POC-LU equipment, (2) experience and interest in POC-LU learning, (3) perception of POC-LU as a diagnostic tool, and (4) barriers to POC-LU implementation in NICUs.A total of 194 participants completed the survey, with neonatologists comprising the majority (45%). Nearly half of the participants (48%) reported prior experience with POC-LU. The most prevalent indications for POC-LU use were diagnosis of pleural effusion (90%), pneumothorax (87%), and respiratory distress syndrome (76%). Participants identified the primary barrier to POC-LU adoption as the lack of trained providers available for both training and clinical integration. Notably, most respondents (87%) expressed keen interest in learning neonatal POC-LU. A subgroup analysis based on the responses collected from NICU-directors of 12 institutions yielded results consistent with those of the overall participant pool. Conclusion: This survey underscores the perceived importance of POC-LU among NICU healthcare providers. A Canadian consensus is required to facilitate the development of widespread training programs as well as standardized clinical practice guideline for its implementation. What is Known: • In recent years, point-of-care lung ultrasound (POC-LU) has emerged as an important tool in neonatology, revolutionizing the assessment and management of critically ill infants. However, its adoption in Canadian Neonatal Intensive Care Units remains limited. What is New: • Most Canadian healthcare providers showed high level of interest in learning POC-LU techniques. Additionally, POC-LU was perceived as a useful tool for diagnosis and guiding intervention in various neonatal respiratory diseases. Nonetheless, the lack of expertise emerged as the primary barrier to its adoption and practice across different groups of participants regardless of their clinical experience level.

Myeloid-derived suppressor cells in pleural effusion as a diagnostic marker for early discrimination of pulmonary tuberculosis from pneumonia.

Tuberculous pleural effusion (TPE) stands as one of the primary forms of extrapulmonary tuberculosis (TB) and frequently manifests in regions with a high prevalence of TB, consequently being a notable cause of pleural effusion in such areas. However, the differentiation between TPE and parapneumonic pleural effusion (PPE) presents diagnostic complexities. This study aimed to evaluate the potential of myeloid-derived suppressor cells (MDSCs) in the pleural fluid as a potential diagnostic marker for distinguishing between TPE and PPE. Adult patients, aged 18 years or older, who presented to the emergency room of a tertiary referral hospital and received a first-time diagnosis of pleural effusion, were prospectively enrolled in the study. Various immune cell populations, including T cells, B cells, natural killer (NK) cells, and MDSCs, were analyzed in both pleural fluid and peripheral blood samples. In pleural fluid, the frequency of lymphocytes, including T, B, and NK cells, was notably higher in TPE compared to PPE. Conversely, the frequency of polymorphonuclear (PMN)-MDSCs was significantly higher in PPE. Notably, compared to traditional markers such as the neutrophil-to-lymphocyte ratio and adenosine deaminase level, the frequency of PMN-MDSCs emerged as a more effective discriminator between PPE and TPE. PMN-MDSCs demonstrated superior positive and negative predictive values and exhibited a higher area under the curve in the receiver operating characteristic curve analysis. PMN-MDSCs in pleural effusion increased the levels of reactive oxygen species and suppressed the production of interferon-gamma from T cells following nonspecific stimulation. These findings suggest that MDSC-mediated immune suppression may contribute to the pathology of both TPE and PPE. The frequency of PMN-MDSCs in pleural fluid is a clinically useful indicator for distinguishing between TPE and PPE.

Deep learning model for pleural effusion detection via active learning and pseudo-labeling: a multisite study

BackgroundThe study aimed to develop and validate a deep learning-based Computer Aided Triage (CADt) algorithm for detecting pleural effusion in chest radiographs using an active learning (AL) framework. This is aimed at addressing the critical need for a clinical grade algorithm that can timely diagnose pleural effusion, which affects approximately 1.5 million people annually in the United States.MethodsIn this multisite study, 10,599 chest radiographs from 2006 to 2018 were retrospectively collected from an institution in Taiwan to train the deep learning algorithm. The AL framework utilized significantly reduced the need for expert annotations. For external validation, the algorithm was tested on a multisite dataset of 600 chest radiographs from 22 clinical sites in the United States and Taiwan, which were annotated by three U.S. board-certified radiologists.ResultsThe CADt algorithm demonstrated high effectiveness in identifying pleural effusion, achieving a sensitivity of 0.95 (95% CI: [0.92, 0.97]) and a specificity of 0.97 (95% CI: [0.95, 0.99]). The area under the receiver operating characteristic curve (AUC) was 0.97 (95% DeLong’s CI: [0.95, 0.99]). Subgroup analyses showed that the algorithm maintained robust performance across various demographics and clinical settings.ConclusionThis study presents a novel approach in developing clinical grade CADt solutions for the diagnosis of pleural effusion. The AL-based CADt algorithm not only achieved high accuracy in detecting pleural effusion but also significantly reduced the workload required for clinical experts in annotating medical data. This method enhances the feasibility of employing advanced technological solutions for prompt and accurate diagnosis in medical settings.

Image-Assısted Pleural Needle Biopsy or Medical Thoracoscopy: Which Method for Which Patient? A Randomızed Controlled Trial

Image-guided or assisted needle biopsies and the increasing use of medical thoracoscopy (MT) have increased the diagnostic accuracy of pleural diseases significantly. However, no consensus exists regarding which patients with pleural effusion should undergo MT and which patients should undergo image-guided or assisted needle biopsy as the first procedure to ensure greater diagnostic accuracy. Which biopsy method is more appropriate for which patient to provide the highest diagnostic accuracy in the diagnosis of pleural effusion? This prospective, randomized, parallel study included 228 patients with undiagnosed exudative pleural effusion. Patients were divided into two groups based on CT scan findings. Group 1 included patients with pleural effusion only. Group 2 included patients with pleural thickening or lesion in addition to pleural effusion. Patients in each group were assigned randomly to an image-assisted Abrams needle pleural biopsy (IA-ANPB) or MT arm. The diagnostic sensitivity, reliability, and safety were determined for both groups. The false-negative rate was 30.3%for the IA-ANPB arm and 3.1%for the MT arm in group 1. The same rates were 11.9%for IA-ANPB and 4.7%for MT in group 2. In group 1, the sensitivity for the IA-ANPB arm was 69.7%, and the negative likelihood ratio was 0.30. The same rates for the MT arm were 96.9%and 0.03 (P= .009). In group 2, these values were 88.1%and 0.12 for the IA-ANPB arm and 95.4%and 0.05 for the MT arm (P= .207). The rate of complications between the two biopsy methods was not different (8.5%and 15.8%, respectively; P= .107). MT showed a high diagnostic success in all patients with pleural fluid. However, IA-ANPB showed similar diagnostic success as MT in patients with pleural effusion and associated pleural thickening or lesions. Therefore, in the latter case, IA-ANPB could be preferable to MT. ClinicalTrials.gov; No.: NCT05428891; URL: www. gov.

Unlocking Diagnostic Precision: FATE Protocol Integration with BLUE and eFAST Protocols for Enhanced Pre-Hospital Differential Diagnosis of Pleural Effusion Manifested as Dyspnea in Adults-A Pilot Study.

Background: Dyspnea commonly stems from combined myocardial and pulmonary dysfunction, posing challenges for accurate pre-hospital diagnosis. Limited diagnostic capabilities hinder the differentiation of cardiac and pulmonary issues. This study assesses the efficacy of combined cardiac and pulmonary ultrasound using the BLUE, eFAST, and FATE protocols. Methods: Participants were consecutively enrolled from dyspnea-related emergency calls in Warsaw, Poland, from 4 April 2022, to 15 June 2023. Patients with pleural effusion were identified through pre-hospital and in-hospital radiological assessments. Pre-hospital thoracic ultrasonography followed the BLUE, eFAST, and FATE protocols, alongside comprehensive clinical assessments. The pre-hospital diagnoses were juxtaposed with the with hospital discharge diagnoses. Results: Sixteen patients (8 men, 8 women; median age: 76 years) were enrolled. Inter-rater agreement for the BLUE protocol was substantial (κ = 0.78), as was agreement for eFAST (κ = 0.75), with almost perfect agreement for combined protocol assessment (κ = 0.83). Left ventricle hypokinesis, identified via the FATE protocol, significantly correlated with hospital-diagnosed decompensated heart failure as the primary cause of dyspnea. Sensitivity and specificity were 1.0 (95%CI: 0.62-1.0) and 0.6 (95%CI: 0.15-0.95), respectively. Positive predictive value was 0.85 (95%CI: 0.55-0.98), and diagnostic accuracy was 0.86 (95%CI: 0.62-0.98). Conclusions: Integrating the FATE protocol into BLUE and eFAST enhances pre-hospital differential diagnosis accuracy of pleural effusion in adults. This synergistic approach streamlines diagnostic processes and facilitates informed clinical decision-making. Larger-scale validation studies are needed for broader applicability.

Point of care thoracic ultrasound versus chest computed tomography in the approach of febrile neutropenia patients: A diagnostic accuracy cohort study.

Single-center prospective cohort diagnostic accuracy study. Our study aimed to evaluate the accuracy and reproducibility of Thoracic Ultrasound (TUS) in detecting pulmonary pathology in immunosuppressed patients. We conducted a single-center prospective study. Consecutive patients with febrile neutropenia who underwent CT (Computerized Tomography) underwent TUS evaluation within 24h of CT. Both studies were performed by an expert who was blinded to the clinical information and results of the alternative imaging modalities. 34 patients met the inclusion criteria. The median age was 39.9 years (±17 standard deviation). TUS as a diagnostic test had a sensitivity of 92.9% and specificity of 83.3%, negative predictive value of 71.4%, and positive predictive value of 96.3%. Substantial between-method agreement was demonstrated with a kappa of 0.71 (P = .001) between the TUS and chest CT findings. We obtained a kappa of 1 (P = .001) for the final diagnosis of Pleural Effusion (PE). We concluded that TUS is a promising screening test for immunocompromised individuals. The results showed good diagnostic performance of TUS compared to CT for the detection of pulmonary findings highly suggestive of pathology with high accuracy and reproducibility.

Diagnostic role of thoracic ultrasound in patients with acute respiratory failure at emergency service.

This study aimed to elucidate the effectiveness of bedside thoracic ultrasound according to BLUE protocol and to investigate its superiority over other imaging methods in the emergency service. A total of 120 patients admitted to our institution's emergency care department due to respiratory distress have been enrolled in this prospective research. Thorax USG has been performed in the right and left hemithorax at the points specified in the BLUE protocol for each patient. Pleural sliding motion, A-lines, B-lines, consolidation, effusion, and the presence of barcode signs were evaluated individually. Age, sex, comorbid diseases, other radiological examination findings, laboratory findings, final clinical diagnosis, and hospitalization-discharge status of the patients were recorded. When a correct diagnosis of pneumonia has been analyzed for imaging techniques, the diagnostic rate of chest radiography was 83.3%, CT was 100.0%, and USG was 66.6%. The correct diagnostic rate of chest radiography was 94.5%; CT and USG were 100.0%. The correct diagnosis of pulmonary edema on chest radiography was 94.5%; CT and USG were 100.0%. While the correct diagnosis of pleural effusion on chest radiography and CT was 100.0%, it was 92.3% in USG imaging. Finally, CT and USG imaging performed better than chest radiography in patients with pneumothorax (chest radiography 80.0%, CT and USG 100%). USG imaging could be preferred in the diagnosis of pneumonia, pulmonary edema, pleural effusion, pneumothorax, pulmonary embolism, and differential diagnosis at the emergency service.

Application of ultrasound-guided medical thoracoscopy in patients with small amounts or without pleural effusion

BackgroundPleural disease is a common clinical condition, and some patients present with a small amount of pleural effusion or no pleural effusion. It is difficult to diagnose such patients in clinical practice. Medical thoracoscopy is the gold standard for the diagnosis of pleural effusion with unknown origin, and guidelines recommend that pneumothorax should be induced in such patients before medical thoracoscopy examination. However, the process of inducing pneumothorax is tedious and has many complications. Our study was conducted to clarify the value of thoracic ultrasound combined with medical thoracoscopy in patients with small amounts or without pleural effusion to simplify the process of medical thoracoscopy examination.MethodsIn this retrospective study, we included patients who were assigned to complete medical thoracoscopy. Successful completion of medical thoracoscopy in patients was regarded as letting the endoscope get into the pleural cavity and completion of the biopsy. Finally, we analyzed the value of preoperative ultrasound in patients without or with small amounts of pleural effusion.ResultsSeventy-two patients were finally included in the study. Among them, 68 patients who underwent ultrasound positioning of the access site successfully completed the examination and four patients failed the examination. Fifty-one cases showed no fluid sonolucent area at the access site, of which 48 cases had pleural sliding signs at the access site, and 47 patients successfully completed the examination; 3 cases without pleural sliding signs at the access site failed to complete thoracoscopy. In 21 cases, the fluid sonolucent area was selected as the access site, and all of them successfully completed thoracoscopy.ConclusionMedical thoracoscopy is one of the methods to confirm the diagnosis in patients with pleural disease with small amounts or without pleural effusion. The application of thoracic ultrasound before medical thoracoscopy can be used for the selection of the access site. It is possible to replace pneumothorax induction before medical thoracoscopy.

Pattern and outcome of paediatric pleural effusion seen at Usmanu Dafodiyo University Teaching Hospital, Sokoto: A 5-year retrospective study

Background: Pleural effusion is an abnormal accumulation of fluid in the pleural cavity which present with spectrum of clinico-aetiological manifestations often requiring multidisciplinary approach.&#x0D; Objectives: This study set out to determine the prevalence, aetiology, clinical presentation, treatment modalities and outcome of pleural effusion in children.&#x0D; Materials and Methods: This was a retrospective study where records of children with diagnosis of pleural effusion admitted at UDUTH, Sokoto were obtained between January 2017 and December 2022 and reviewed. Diagnosis was based on clinical presentation and radiological confirmation of pleural effusion. Data was analyzed with SPSS version 20.0.&#x0D; Results: A total of 49 cases were retrieved. The prevalence of pleural effusion was 0.54% (9,056). It was more prevalent in males with ratio of 2.5:1 (χ² = 9.833, P = 0.007). The median age was 9 years (IQR 7). The most common cause of pleural effusion was pneumonia 26 (53.1%) followed by tuberculosis 16 (32.6%), malignancy 3 (6.1%), cardiac and renal causes accounted for 2 (4.1%) each. Cough (100.0%), difficulty in breathing (100.0%), tachypnea (100.0%), respiratory distress (100.0%), and desaturation (98.0%) were the common presentations. Most (77.5%) of them presented with right sided pleural effusion. The majority (93.9%) had closed thoracostomy tube drainage. The outcome showed majority (83.7%) of the cases been discharged, with a median duration of hospital stay of 22days (IQR 17). However, mortality rate for the malignant causes was 100.0%.&#x0D; Conclusion: Infections were the major cause of paediatric pleural effusion with relatively good outcome. Surgical intervention and multidisciplinary team approach are needed to reduce the morbidity and mortality in patients with pleural effusion especially for the malignant causes.

Diagnostic flowchart for tuberculous pleurisy, pleural infection, and malignant pleural effusion

BackgroundSeveral markers for the diagnosis of pleural effusion have been reported; however, a comprehensive evaluation using those markers has not been performed. Therefore, this study aimed to develop a diagnostic flowchart for tuberculous pleurisy, pleural infection, malignant pleural effusion, and other diseases by using these markers. MethodsWe retrospectively collected data from 174 patients with tuberculous pleurisy, 215 patients with pleural infection other than tuberculous pleurisy, 360 patients with malignant pleural effusion, and 209 patients with other diseases at Fukujuji Hospital from January 2012 to October 2022. The diagnostic flowchart for four diseases was developed by using several previously reported markers. ResultsThe flowchart was developed by including seven markers: pleural ADA ≥40 IU/L, pleural fluid LDH <825 IU/L, pleural fluid ADA/TP < 14, neutrophil predominance or cell degeneration, peripheral blood WBC ≥9200/μL or serum CRP ≥12 mg/dL, pleural amylase ≥75 U/L, and the presence of pneumothorax according to the algorithm of a decision tree. The accuracy ratio of the flowchart was 71.7 % for the diagnosis of the four diseases, with 79.3 % sensitivity and 75.4 % positive predictive value (PPV) for tuberculosis pleurisy, 75.8 % sensitivity and 83.2 % PPV for pleural infection, 88.6 % sensitivity and 68.8 % PPV for malignant pleural effusion, and 33.0 % sensitivity and 60.0 % PPV for other diseases in the flowchart. The misdiagnosis ratios were 4.6 % for tuberculosis pleurisy, 6.8 % for pleural infection, and 8.3 % for malignant pleural effusion. ConclusionThis study developed a useful diagnostic flowchart for tuberculous pleurisy, pleural infection, malignant pleural effusion, and other diseases.

Thoracentesis for the Diagnosis and Management of Pleural Effusions: The Current State of a Centuries-Old Procedure

Thoracentesis is a fundamental procedure in interventional pulmonology, providing both diagnostic and therapeutic value. This review article offers a comprehensive analysis of thoracentesis, delving into pleural anatomy, procedural techniques, indications, and recent advancements. The article details the evolution of thoracentesis, including the crucial role of ultrasound guidance and emerging approaches that enhance precision and minimize complications. It addresses the wide range of indications for thoracentesis in diverse clinical scenarios, from the diagnosis of pleural effusions to therapeutic drainage of pleural collections. Furthermore, this review explores the management of coagulopathy and anticoagulation pertaining to thoracentesis. It will also provide strategies for preventing and managing complications, ensuring that thoracentesis remains a well-tolerated procedure with minimal risks. This article concludes by examining future directions in thoracentesis, including potential innovations and trends that will shape the landscape of interventional pulmonary medicine. This review serves as an essential resource for pulmonologists, interventional radiologists, and healthcare professionals, offering a comprehensive update on thoracentesis.

Automatic deep learning-based pleural effusion segmentation in lung ultrasound images

BackgroundPoint-of-care lung ultrasound (LUS) allows real-time patient scanning to help diagnose pleural effusion (PE) and plan further investigation and treatment. LUS typically requires training and experience from the clinician to accurately interpret the images. To address this limitation, we previously demonstrated a deep-learning model capable of detecting the presence of PE on LUS at an accuracy greater than 90%, when compared to an experienced LUS operator.MethodsThis follow-up study aimed to develop a deep-learning model to provide segmentations for PE in LUS. Three thousand and forty-one LUS images from twenty-four patients diagnosed with PE were selected for this study. Two LUS experts provided the ground truth for training by reviewing and segmenting the images. The algorithm was then trained using ten-fold cross-validation. Once training was completed, the algorithm segmented a separate subset of patients.ResultsComparing the segmentations, we demonstrated an average Dice Similarity Coefficient (DSC) of 0.70 between the algorithm and experts. In contrast, an average DSC of 0.61 was observed between the experts.ConclusionIn summary, we showed that the trained algorithm achieved a comparable average DSC at PE segmentation. This represents a promising step toward developing a computational tool for accurately augmenting PE diagnosis and treatment.