The importance of endobag use with incision-protective devices in VATS lung resection: a preliminary study.

OBJECTIVE: The advent of new techniques such as video-assisted thoracoscopic surgery (VATS) for the removal of lung segments leads to compression of the surgical specimen, with the possible dissemination of neoplastic cells. The sheer volume of surgeries performed using these techniques has caused many institutions to stop removing the surgical specimen using an endobag, even when retractors/protectors are used in the instrumentalization incision. This study aimed to collect data from patients undergoing lung resection by VATS and analyze the cytopathological results of the collected material. RESULTS: A total of 47 endobag fluid samples were collected from patients who underwent VATS. The surgical specimen was subjected to histopathological analysis, and all patients underwent pathological TNM staging. In the cytopathological analyses, only 2 (4.3%) specimens of endobag fluid aspirate were positive for neoplastic cells. In these two cases, the tumors were peripheral, both with diagnoses of moderately differentiated adenocarcinoma and with classifications of T1bN0M0 and T3N0M0. These results indicate that although there is a low incidence of tumor cells in endobag fluid, it is always better to perform surgery using all available protective measures to avoid tumor implantation in the thoracic cavity to the greatest extent possible.

Automatic method for classifying COVID-19 patients based on chest X-ray images, using deep features and PSO-optimized XGBoost.

The COVID-19 pandemic, which originated in December 2019 in the city of Wuhan, China, continues to have a devastating effect on the health and well-being of the global population. Currently, approximately 8.8 million people have already been infected and more than 465,740 people have died worldwide. An important step in combating COVID-19 is the screening of infected patients using chest X-ray (CXR) images. However, this task is extremely time-consuming and prone to variability among specialists owing to its heterogeneity. Therefore, the present study aims to assist specialists in identifying COVID-19 patients from their chest radiographs, using automated computational techniques. The proposed method has four main steps: (1) the acquisition of the dataset, from two public databases; (2) the standardization of images through preprocessing; (3) the extraction of features using a deep features-based approach implemented through the networks VGG19, Inception-v3, and ResNet50; (4) the classifying of images into COVID-19 groups, using eXtreme Gradient Boosting (XGBoost) optimized by particle swarm optimization (PSO). In the best-case scenario, the proposed method achieved an accuracy of 98.71%, a precision of 98.89%, a recall of 99.63%, and an F1-score of 99.25%. In our study, we demonstrated that the problem of classifying CXR images of patients under COVID-19 and non-COVID-19 conditions can be solved efficiently by combining a deep features-based approach with a robust classifier (XGBoost) optimized by an evolutionary algorithm (PSO). The proposed method offers considerable advantages for clinicians seeking to tackle the current COVID-19 pandemic.

An emergency system for monitoring pulse oximetry, peak expiratory flow, and body temperature of patients with COVID-19 at home: Development and preliminary application.

BACKGROUND: COVID-19 is characterized by a rapid change in the patient's condition, with major changes occurring over a few days. We aimed to develop and evaluate an emergency system for monitoring patients with COVID-19, which may be useful in hospitals where more severe patients stay in their homes. METHODOLOGY/PRINCIPAL FINDINGS: The system consists of the home-based patient unit, which is set up around the patient and the hospital unit, which enables the medical staff to telemonitor the patient's condition and help to send medical recommendations. The home unit allows the data transmission from the patient to the hospital, which is performed using a cell phone application. The hospital unit includes a virtual instrument developed in LabVIEW® environment that can provide a real-time monitoring of the oxygen saturation (SpO2), beats per minute (BPM), body temperature (BT), and peak expiratory flow (PEF). Abnormal events may be fast and automatically identified. After the design details are described, the system is validated by a 30-day home monitoring study in 12 controls and 12 patients with COVID-19 presenting asymptomatic to mild disease. Patients presented reduced SpO2 (p<0.0001) and increased BPM values (p<0.0001). Three patients (25%) presented PEF values between 50 and 80% of the predicted. Three of the 12 monitored patients presented events of desaturation (SpO2<92%). The experimental results were in close agreement with the involved pathophysiology, providing clear evidence that the proposed system can be a useful tool for the remote monitoring of patients with COVID-19. CONCLUSIONS: An emergency system for home monitoring of patients with COVID-19 was developed in the current study. The proposed system allowed us to quickly respond to early abnormalities in these patients. This system may contribute to conserving hospital resources for those most in need while simultaneously enabling early recognition of patients under acute deterioration, requiring urgent assessment.

Solid Indeterminate Nodules with a Radiological Stability Suggesting Benignity: A Texture Analysis of Computed Tomography Images Based on the Kurtosis and Skewness of the Nodule Volume Density Histogram.

BACKGROUND: The number of incidental findings of pulmonary nodules using imaging methods to diagnose other thoracic or extrathoracic conditions has increased, suggesting the need for in-depth radiological image analyses to identify nodule type and avoid unnecessary invasive procedures. OBJECTIVES: The present study evaluated solid indeterminate nodules with a radiological stability suggesting benignity (SINRSBs) through a texture analysis of computed tomography (CT) images. METHODS: A total of 100 chest CT scans were evaluated, including 50 cases of SINRSBs and 50 cases of malignant nodules. SINRSB CT scans were performed using the same noncontrast enhanced CT protocol and equipment; the malignant nodule data were acquired from several databases. The kurtosis (KUR) and skewness (SKW) values of these tests were determined for the whole volume of each nodule, and the histograms were classified into two basic patterns: peaks or plateaus. RESULTS: The mean (MEN) KUR values of the SINRSBs and malignant nodules were 3.37 ± 3.88 and 5.88 ± 5.11, respectively. The receiver operating characteristic (ROC) curve showed that the sensitivity and specificity for distinguishing SINRSBs from malignant nodules were 65% and 66% for KUR values >6, respectively, with an area under the curve (AUC) of 0.709 (p < 0.0001). The MEN SKW values of the SINRSBs and malignant nodules were 1.73 ± 0.94 and 2.07 ± 1.01, respectively. The ROC curve showed that the sensitivity and specificity for distinguishing malignant nodules from SINRSBs were 65% and 66% for SKW values >3.1, respectively, with an AUC of 0.709 (p < 0.0001). An analysis of the peak and plateau histograms revealed sensitivity, specificity, and accuracy values of 84%, 74%, and 79%, respectively. CONCLUSIONS: KUR, SKW, and histogram shape can help to noninvasively diagnose SINRSBs but should not be used alone or without considering clinical data.

Computer-Aided Diagnosis of Lung Nodules in Computed Tomography by Using Phylogenetic Diversity, Genetic Algorithm, and SVM.

Lung cancer is pointed as the major cause of death among patients with cancer throughout the world. This work is intended to develop a methodology for diagnosis of lung nodules using images from the Image Database Consortium and Image Database Resource Initiative (LIDC-IDRI). The proposed methodology uses image processing and pattern recognition techniques. In order to differentiate between the patterns of malignant and benign nodules, we used phylogenetic diversity by means of particular indexes, that are: intensive quadratic entropy, extensive quadratic entropy, average taxonomic distinctness, total taxonomic distinctness, and pure diversity indexes. After that, we applied the genetic algorithm for selection of the best model. In the tests' stage, we applied the proposed methodology to 1405 (394 malignant and 1011 benign) nodules. The proposed work presents promising results at the classification into malignant and benign, achieving accuracy of 92.52%, sensitivity of 93.1% and specificity of 92.26%. The results demonstrated a good rate of correct detections using texture features. Since a precocious detection allows a faster therapeutic intervention, thus a more favorable prognostic to the patient, we propose herein a methodology that contributes to the area in this aspect.

Voxel-based comparative analysis of lung lesions in CT for therapeutic purposes.

Lung cancer remains as one of the most incident types of cancer throughout the world. Temporal evaluation has become a very useful tool when one wishes to analyze some malignancy-indicating behavior. The objective of the present work is to detect changes in the local densities of lung lesions over time (follow-up analysis). From the detected changes, local information as well as extent region of changes can complement the studies regarding the malignant or benign nature of the lesion. Based on this idea, we attempt to use techniques that allow the observation of changes in the lesion over time, based on remote sensing techniques which highlight changes occurring in the environment. The techniques used were the image differencing, image rationing, median filtering, image regression and the fuzzy XOR operator. Based on the global measurement of change percentage in the density, we found density variations which were considered significant in a range from 2.22 to 36.57 % of the volume of the lesion. The results achieved are promising since, besides the visual aspects of the changes in density of the lung lesion over time, we managed to quantify these changes and compare them by volumetric analysis, a more commonly used technique for analysis of changes in lung lesions.

3D shape analysis to reduce false positives for lung nodule detection systems.

Using images from the Image Database Consortium and Image Database Resource Initiative (LIDC-IDRI), we developed a methodology for classifying lung nodules. The proposed methodology uses image processing and pattern recognition techniques. To classify volumes of interest into nodules and non-nodules, we used shape measurements only, analyzing their shape using shape diagrams, proportion measurements, and a cylinder-based analysis. In addition, we use the support vector machine classifier. To test the proposed methodology, it was applied to 833 images from the LIDC-IDRI database, and cross-validation with k-fold, where [Formula: see text], was used to validate the results. The proposed methodology for the classification of nodules and non-nodules achieved a mean accuracy of 95.33 %. Lung cancer causes more deaths than any other cancer worldwide. Therefore, precocious detection allows for faster therapeutic intervention and a more favorable prognosis for the patient. Our proposed methodology contributes to the classification of lung nodules and should help in the diagnosis of lung cancer.

Computer-aided diagnosis system for lung nodules based on computed tomography using shape analysis, a genetic algorithm, and SVM.

Lung cancer is the major cause of death among patients with cancer worldwide. This work is intended to develop a methodology for the diagnosis of lung nodules using images from the Image Database Consortium and Image Database Resource Initiative (LIDC-IDRI). The proposed methodology uses image processing and pattern recognition techniques. To differentiate the patterns of malignant and benign forms, we used a Minkowski functional, distance measures, representation of the vector of points measures, triangulation measures, and Feret diameters. Finally, we applied a genetic algorithm to select the best model and a support vector machine for classification. In the test stage, we applied the proposed methodology to 1405 (394 malignant and 1011 benign) nodules from the LIDC-IDRI database. The proposed methodology shows promising results for diagnosis of malignant and benign forms, achieving accuracy of 93.19 %, sensitivity of 92.75 %, and specificity of 93.33 %. The results are promising and demonstrate a good rate of correct detections using the shape features. Because early detection allows faster therapeutic intervention, and thus a more favorable prognosis for the patient, herein we propose a methodology that contributes to the area.

The assessment of telemedicine to support outpatient palliative care in advanced cancer.

OBJECTIVE: We aimed to examine telemedicine as a form of home and additional support for traditional outpatient care as a way to remotely monitor and manage the symptoms of patients with advanced cancer. METHOD: In total, 12 patients were monitored through monthly consultations with a multidisciplinary healthcare team and weekly web conferences. To evaluate and treat pain and other symptoms, the Edmonton Symptom Assessment System (ESAS) was applied during all remote or in-person interviews. RESULTS: During monitoring, the team contacted the patients on 305 occasions: there were 89 consultations at the hospital, 19 in-person assistances to the family (without the patient), 77 web conferences, 38 telephone calls, 80 emails, and 2 home visits. The mean monitoring time until death was 195 ± 175.1 days. Eight patients who completed the ESAS in all interviews had lower mean distress symptom scores according to web conferences than in person. SIGNIFICANCE OF RESULTS: Telemedicine allowed greater access to the healthcare system, reduced the need to employ emergency services, improved assessment/control of symptoms, and provided greater orientation and confidence in the care given by family members through early and proactive interventions. Web conferencing proved to be a good adjuvant to home monitoring of symptoms, complementing in-person assistance.

Lung cancer with chest wall invasion: retrospective analysis comparing en-bloc resection and 'resection in bird cage'.

BACKGROUND: Invasion of the chest wall per se is not a contraindication for tumor resection in non-small cell lung cancer (NSCLC), provided there is no mediastinal lymph node or vital structure involvement. Although widely known to Brazilian surgeons, the 'resection in bird cage' technique has never been widely studied in terms of patient survival. Thus, the objective of this study was to evaluate the postoperative consequences and overall survival of extra-musculoperiosteal resection compared with en-bloc resection in NSCLC patients with invasion of the endothoracic fascia. METHODS: Between January 1990 and December 2009, 33 NSCLC patients with invasion of the thoracic wall who underwent pulmonary resection were retrospectively analyzed. Of the 33 patients evaluated, 20 patients underwent en-bloc resection and 13 underwent 'resection in bird cage.' For each patient, a retrospective case note review was made. RESULTS: The median age at surgery, gender, indication, rate of comorbidities, tumor size and the degree of uptake in the costal margin were similar for both groups. The rate of postoperative complications and the duration of hospitalization did not differ between the groups. Regarding the outcome variables, the disease-free interval, rate of local recurrence, metastasis-free time after surgery, overall mortality rate, mortality rate related to metastatic disease, duration following surgery in which deaths occurred, and overall survival were also similar between groups. The cumulative survival curves between the 'resection in bird cage' and en-bloc resection and between stages Ia + Ib and IIb + IIIa + IV were not significantly different (p = 0.68 and p = 0.64, respectively). The cumulative metastasis-free survival curves were not significantly different between the two types of surgery (p = 0.38). CONCLUSIONS: In NSCLC patients with invasion of the endothoracic fascia, 'resection in bird cage' is a less aggressive procedure that yields similar results in terms of morbidity and mortality compared with en-bloc resection. Thus, 'resection in bird cage' meets the oncologic principles of resection and does not adversely affect the patients in terms of cure.

Automatic detection of solitary lung nodules using quality threshold clustering, genetic algorithm and diversity index.

OBJECTIVE: The present work has the objective of developing an automatic methodology for the detection of lung nodules. METHODOLOGY: The proposed methodology is based on image processing and pattern recognition techniques and can be summarized in three stages. In the first stage, the extraction and reconstruction of the pulmonary parenchyma is carried out and then enhanced to highlight its structures. In the second stage, nodule candidates are segmented. Finally, in the third stage, shape and texture features are extracted, selected and then classified using a support vector machine. RESULTS: In the testing stage, with 140 new exams from the Lung Image Database Consortium image collection, 80% of which are for training and 20% are for testing, good results were achieved, as indicated by a sensitivity of 85.91%, a specificity of 97.70% and an accuracy of 97.55%, with a false positive rate of 1.82 per exam and 0.008 per slice and an area under the free response operating characteristic of 0.8062. CONCLUSION: Lung cancer presents the highest mortality rate in addition to one of the smallest survival rates after diagnosis. An early diagnosis considerably increases the survival chance of patients. The methodology proposed herein contributes to this diagnosis by being a useful tool for specialists who are attempting to detect nodules.

Royal sun medicinal mushroom Agaricus brasiliensis (higher Basidiomycetes) and the attenuation of pulmonary inflammation induced by 4-(methylnitrosamino)-1-(3-pyridyl)-1-butanone (NNK).

Agaricus brasiliensis currently is one of the most studied fungi because of its nutritional and therapeutic properties as an anti-inflammatory agent and an adjuvant in cancer chemotherapy. The effects of orally administered aqueous A. brasiliensis extract (14.3- and 42.9-mg doses) on parenchymal lung damage induced by carcinogenic 4-(methylnitrosamino)-1-(3-pyridyl)-1-butanone (NNK) were observed in Wistar rats. NNK treatment induced pulmonary inflammation, but not lung cancer, in the rats. The lungs of animals treated with NNK showed a higher level of inflammation than those of the control group according to histopathologic examinations (P < 0.01) and kurtosis analysis (P < 0.001) of a global histogram generated from thoracic computed tomography scans. There was no significant difference in the alveolar and bronchial exudates between animals treated with a 14.3-mg dose of A. brasiliensis extract and the control without NNK. However, a significant difference was found between animals treated with NNK, received a 42.9-mg dose of A. brasiliensis (P < 0.05), and the controls not treated with NNK. We did not observe a significant difference between the kurtoses of the A. brasiliensis (14.3 mg) and control groups. However, a 42.9-mg dose of A. brasiliensis resulted in lower kurtosis values than those observed in the control group (P < 0.001). In conclusion, a low dose of A. brasiliensis was more effective in attenuating pulmonary inflammation. Similar to the histopathological results, the computed tomography scans also showed a protective effect of A. brasiliensis at the lower dose, which prevented gross pulmonary consolidation.

Relationship between the phase angle and volume of tumours in patients with lung cancer.

BACKGROUND/AIMS: The phase angle (PA) obtained by bioelectrical impedance has been used as a predictor of nutritional status in cancer. This study aimed to verify the association between the PA and tumour volume in non-small cell lung cancer (NSCLC) patients. METHODS: Volumetric determination of the tumour mass was performed using a computerised image analysis system incorporated in helical tomography. Lesion segmentation was performed by a semi-automatic process using a region growth algorithm with voxel aggregation. The PA was measured by bioelectrical impedance. RESULTS: A total of 30 male patients with a mean age of 65.6 years were evaluated. The mean values observed for body mass index, PA and tumour volume were 22.5 ± 4.19, 5.66 ± 0.9° and 163.2 ± 207.5 ml, respectively. The tumour volumes were negatively correlated with the PA (r = -0.55; p < 0.001) and positively correlated with the ratio between the extracellular mass and the body cell mass (ECM/BCM) (r = 0.59; p < 0.001). In multivariate analysis, independent predictors for both PA and ECM/BCM were tumour volume and Karnofsky performance status score. CONCLUSIONS: In NSCLC, the PA is closely associated with tumour volume, which may be important in early nutritional intervention.

Results and complications of CT-guided transthoracic fine-needle aspiration biopsy of pulmonary lesions.

OBJECTIVE: To analyze the cytological findings of CT-guided percutaneous fine-needle aspiration biopsies of the lung, to demonstrate the diagnostic feasibility of the method in the investigation of pulmonary lesions, and to determine the complications of the procedure, evaluating its safety. METHODS: A retrospective analysis of 89 patients with various types of pulmonary lesions who underwent 97 procedures over a period of five years. The patients were divided into groups regarding the indication for the procedure: suspicion of primary lung cancer (stages IIIB or IV); suspicion of lung cancer (stages I, II, or IIIA) and clinical contraindications for surgery; suspicion of pulmonary metastasis from other organs; and pulmonary lesions with benign radiological aspect. All of the procedures were performed with 25-gauge needles and were guided by spiral CT. The final diagnosis was confirmed by surgical biopsy and clinical/oncological follow-up. For the analysis of complications, the total number of procedures was considered. RESULTS: The main indication for the procedure was suspicion of advanced-stage primary lung cancer. The accuracy of the method for malignant lesions was 91.5%. The lesion was confirmed as cancer in 73% of the patients. The major complication was pneumothorax (27.8%), which required chest tube drainage in 12.4% of the procedures. CONCLUSIONS: The principal indication for CT-guided fine-needle biopsy was suspicion of primary lung cancer in patients who were not surgical candidates. The procedure has high diagnostic feasibility for malignant pulmonary diseases. The most prevalent complication was pneumothorax. However, in most cases, chest tube drainage was unnecessary. No deaths were related to the procedure.

Biópsia aspirativa transtorácica por agulha fina guiada por TC de lesões pulmonares: resultados e complicações / Results and complications of CT-guided transthoracic fine-needle aspiration biopsy of pulmonary lesions

OBJETIVO: Analisar os resultados citológicos de biópsias aspirativas percutâneas por agulha fina guiada por TC de pulmão, demonstrar a viabilidade diagnóstica do método na investigação de lesões pulmonares e determinar as complicações do procedimento, avaliando sua segurança. MÉTODOS: Análise retrospectiva com 89 pacientes com tipos diversos de lesões pulmonares que foram submetidos a 97 procedimentos em um período de cinco anos. Os pacientes foram divididos em grupos de acordo com a indicação para o procedimento: suspeita de neoplasia pulmonar primária (estádios IIIB e IV); suspeita de neoplasia pulmonar (estádios I, II e IIIA) e contraindicações clínicas para cirurgia; suspeita de metástase pulmonar oriunda de outros órgãos; e lesões pulmonares com aspecto radiológico benigno. O método foi padronizado com agulha fina de 25 gauge. Todos os procedimentos foram guiados por TC helicoidal. O diagnóstico final foi confirmado por biópsias cirúrgicas e acompanhamento clínico/oncológico. Para a análise das complicações, foi considerado o número total de procedimentos. RESULTADOS: A principal indicação do procedimento foi a suspeita de neoplasia pulmonar primária avançada. O método apresentou acurácia de 91,5 por cento para lesões malignas. A lesão foi confirmada como neoplásica em 73 por cento dos pacientes. A principal complicação foi o pneumotórax (27,8 por cento), com necessidade de drenagem tubular em 12,4 por cento do total de procedimentos. CONCLUSÕES: A principal indicação para biópsia por agulha fina guiada por TC foi a suspeita de doença neoplásica pulmonar primária sem possibilidade de tratamento cirúrgico. O procedimento tem alta viabilidade diagnóstica para doenças pulmonares de origem neoplásica. A mais prevalente complicação foi o pneumotórax, sem necessidade de drenagem tubular na maioria dos casos. Não ocorreram óbitos relacionados ao procedimento.

OBJECTIVE: To analyze the cytological findings of CT-guided percutaneous fine-needle aspiration biopsies of the lung, to demonstrate the diagnostic feasibility of the method in the investigation of pulmonary lesions, and to determine the complications of the procedure, evaluating its safety. METHODS: A retrospective analysis of 89 patients with various types of pulmonary lesions who underwent 97 procedures over a period of five years. The patients were divided into groups regarding the indication for the procedure: suspicion of primary lung cancer (stages IIIB or IV); suspicion of lung cancer (stages I, II, or IIIA) and clinical contraindications for surgery; suspicion of pulmonary metastasis from other organs; and pulmonary lesions with benign radiological aspect. All of the procedures were performed with 25-gauge needles and were guided by spiral CT. The final diagnosis was confirmed by surgical biopsy and clinical/oncological follow-up. For the analysis of complications, the total number of procedures was considered. RESULTS: The main indication for the procedure was suspicion of advanced-stage primary lung cancer. The accuracy of the method for malignant lesions was 91.5 percent. The lesion was confirmed as cancer in 73 percent of the patients. The major complication was pneumothorax (27.8 percent), which required chest tube drainage in 12.4 percent of the procedures. CONCLUSIONS: The principal indication for CT-guided fine-needle biopsy was suspicion of primary lung cancer in patients who were not surgical candidates. The procedure has high diagnostic feasibility for malignant pulmonary diseases. The most prevalent complication was pneumothorax. However, in most cases, chest tube drainage was unnecessary. No deaths were related to the procedure.

Methodology for automatic detection of lung nodules in computerized tomography images.

Lung cancer is a disease with significant prevalence in several countries around the world. Its difficult treatment and rapid progression make the mortality rates among people affected by this illness to be very high. Aiming to offer a computational alternative for helping in detection of nodules, serving as a second opinion to the specialists, this work proposes a totally automatic methodology based on successive detection refining stages. The automated lung nodules detection scheme consists of six stages: thorax extraction, lung extraction, lung reconstruction, structures extraction, tubular structures elimination, and false positive reduction. In the thorax extraction stage all the artifacts external to the patient's body are discarded. Lung extraction stage is responsible for the identification of the lung parenchyma. The objective of the lung reconstruction stage is to prevent incorrect elimination of portions belonging to the parenchyma. Structures extraction stage comprises the selection of dense structures from inside the lung parenchyma. The next stage, tubular structures elimination eliminates a great part of the pulmonary trees. Finally, the false positive stage selects only structures with great probability to be nodule. Each of the several stages has very specific objectives in detection of particular cases of lung nodules, ensuring good matching rates even in difficult detection situations. We use 33 exams with diversified diagnosis and slices numbers for validating the methodology. We obtained a false positive per exam rate of 0.42 and false negative rate of 0.15. The total classification sensitivity obtained, measured out of the nodule candidates, was 84.84%. The specificity achieved was 96.15% and the total accuracy of the method was 95.21%.

Diagnosis of solitary lung nodules using the local form of Ripley's K function applied to three-dimensional CT data.

This paper analyzes the application of Ripley's K function to characterize lung nodules as malignant or benign in computerized tomography images. The proposed characterization method is based on a selection of measures from Ripley's K function to discriminate between benign and malignant nodules, using stepwise discriminant analysis. Based on the selected measures, a linear discriminant analysis procedure is performed once again in order to predict the classification of each nodule. To evaluate the ability of these features to discriminate the nodules, a set of tests was carried out using a sample of 39 pulmonary nodules, 29 benign and 10 malignant. A leave-one-out procedure was used to provide a less biased estimate of the linear discriminator's performance. The best setting of the analyzed function in the tested sample presented 70.0% of sensitivity but with 100.0% of specificity and 92.3% of accuracy. Thus, preliminary results of this approach are very promising regarding its contribution to the diagnosis of pulmonary nodules, but it still needs to be tested with larger series and associated to other quantitative imaging methods in order to improve global performance.

Ressecção de hemangioma de pleura por cirurgia torácica vídeo-assistida (CTVA) / Ressection of pleural haemangioma by video-assisted thoracic surgery (VATS)

O presente caso refere-se a uma paciente de 79 anos que se apresentou com quadro de astenia, mialgia e coriza. Ao realizar uma telerradiografia de tórax foi evidenciada uma tumoração como achado incidental. Foi solicitada uma tomografia computadorizada que evidenciou lesão de provável localização pleural, sugerida pelo seu ângulo de implantação com a parede torácica. A paciente não apresentava sintomatologia ou fatores de risco relacionados a neoplasias pulmonares. Por tratar-se de lesão única, pequena e de localização pleural foi submetida à ressecção da tumoração, por cirurgia torácica vídeo-assistida. O resultado do exame histopatológico foi conclusivo de hemangioma capilar localizado na pleura. A paciente evoluiu bem e obteve alta no quarto dia pós-operatório.

Pleurodese / Pleurodesis

A pleurodese é um dos tratamentos mais utilizados para o derrame pleural sintomático recorrente, pois promove a obliteração da cavidade pleural. Não apenas o derrame pleural não responsivo ao tratamento clínico (derrame pleural neoplásico recidivante e os derrames crônicos não neoplásicos) teria indicação de pleurodese, mas também o pneumotórax de repetição. Verificamos que inúmeros trabalhos sobre pleurodese buscam a substância ideal para este propósito, levando-se em consideração não só a capacidade da substância de provocar aderências entre as pleuras, mas também aqueles com menos efeitos colaterais. Nesta revisão de literatura, procuramos enfocar as diversas maneiras de realização de pleurodese, bem como as principais substâncias utilizadas para este propósito.

Tumor fibroso de pleura / Solitary fibrous tumors of the pleura

Neste artigo apresentamos um caso de tumor fibroso solitário da pleura, em um homem de 49 anos, cujo diagnóstico foi feito em nosso hospital, anos após o surgimento dos primeiros sintomas e sinais na radiografia do tórax. Após descrição do caso, fizemos uma breve revisão sobre aspectos mais importantes deste raro tumor, visando auxiliar no diagnóstico diferencial das neoplasias torácicas.