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Article in Chinese | WPRIM | ID: wpr-982253


OBJECTIVE@#In order to improve the accuracy of the current pulmonary nodule location detection method based on CT images, reduce the problem of missed detection or false detection, and effectively assist imaging doctors in the diagnosis of pulmonary nodules.@*METHODS@#Propose a novel method for detecting the location of pulmonary nodules based on multiscale convolution. First, image preprocessing methods are used to eliminate the noise and artifacts in lung CT images. Second, multiple adjacent single-frame CT images are selected to be concatenate into multi-frame images, and the feature extraction is carried out through the artificial neural network model U-Net improved by multi-scale convolution to enhanced feature extraction capability for pulmonary nodules of different sizes and shapes, so as to improve the accuracy of feature extraction of pulmonary nodules. Finally, using point detection to improve the loss function of U-Net training process, the accuracy of pulmonary nodule location detection is improved.@*RESULTS@#The accuracy of detecting pulmonary nodules equal or larger than 3 mm and smaller than 3 mm are 98.02% and 96.94% respectively.@*CONCLUSIONS@#This method can effectively improve the detection accuracy of pulmonary nodules on CT image sequence, and can better meet the diagnostic needs of pulmonary nodules.

Humans , Lung Neoplasms/diagnostic imaging , Solitary Pulmonary Nodule/diagnostic imaging , Tomography, X-Ray Computed , Neural Networks, Computer
Chinese Medical Journal ; (24): 1047-1056, 2023.
Article in English | WPRIM | ID: wpr-980911


BACKGROUND@#Screening using low-dose computed tomography (LDCT) is a more effective approach and has the potential to detect lung cancer more accurately. We aimed to conduct a meta-analysis to estimate the accuracy of population-based screening studies primarily assessing baseline LDCT screening for lung cancer.@*METHODS@#MEDLINE, Excerpta Medica Database, and Web of Science were searched for articles published up to April 10, 2022. According to the inclusion and exclusion criteria, the data of true positives, false-positives, false negatives, and true negatives in the screening test were extracted. Quality Assessment of Diagnostic Accuracy Studies-2 was used to evaluate the quality of the literature. A bivariate random effects model was used to estimate pooled sensitivity and specificity. The area under the curve (AUC) was calculated by using hierarchical summary receiver-operating characteristics analysis. Heterogeneity between studies was measured using the Higgins I2 statistic, and publication bias was evaluated using a Deeks' funnel plot and linear regression test.@*RESULTS@#A total of 49 studies with 157,762 individuals were identified for the final qualitative synthesis; most of them were from Europe and America (38 studies), ten were from Asia, and one was from Oceania. The recruitment period was 1992 to 2018, and most of the subjects were 40 to 75 years old. The analysis showed that the AUC of lung cancer screening by LDCT was 0.98 (95% CI: 0.96-0.99), and the overall sensitivity and specificity were 0.97 (95% CI: 0.94-0.98) and 0.87 (95% CI: 0.82-0.91), respectively. The funnel plot and test results showed that there was no significant publication bias among the included studies.@*CONCLUSIONS@#Baseline LDCT has high sensitivity and specificity as a screening technique for lung cancer. However, long-term follow-up of the whole study population (including those with a negative baseline screening result) should be performed to enhance the accuracy of LDCT screening.

Humans , Adult , Middle Aged , Aged , Lung Neoplasms/diagnostic imaging , Early Detection of Cancer , Sensitivity and Specificity , Mass Screening , Tomography, X-Ray Computed
Chinese Journal of Oncology ; (12): 265-272, 2023.
Article in Chinese | WPRIM | ID: wpr-969833


Objective: To investigate the detection and diagnostic efficacy of chest radiographs for ≤30 mm pulmonary nodules and the factors affecting them, and to compare the level of consistency among readers. Methods: A total of 43 patients with asymptomatic pulmonary nodules who consulted in Cancer Hospital, Chinese Academy of Medical Sciences from 2012 to 2014 and had chest CT and X-ray chest radiographs during the same period were retrospectively selected, and one nodule ≤30 mm was visible on chest CT images in the whole group (total 43 nodules in the whole group). One senior radiologist with more than 20 years of experience in imaging diagnosis reviewed CT images and recording the size, morphology, location, and density of nodules was selected retrospectively. Six radiologists with different levels of experience (2 residents, 2 attending physicians and 2 associate chief physicians independently reviewed the chest images and recorded the time of review, nodule detection, and diagnostic opinion. The CT imaging characteristics of detected and undetected nodules on X images were compared, and the factors affecting the detection of nodules on X-ray images were analyzed. Detection sensitivity and diagnosis accuracy rate of 6 radiologists were calculated, and the level of consistency among them was compared to analyze the influence of radiologists' seniority and reading time on the diagnosis results. Results: The number of nodules detected by all 6 radiologists was 17, with a sensitivity of detection of 39.5%(17/43). The number of nodules detected by ≥5, ≥4, ≥3, ≥2, and ≥1 physicians was 20, 21, 23, 25, and 28 nodules, respectively, with detection sensitivities of 46.5%, 48.8%, 53.5%, 58.1%, and 65.1%, respectively. Reasons for false-negative result of detection on X-ray images included the size, location, density, and morphology of the nodule. The sensitivity of detecting ≤30 mm, ≤20 mm, ≤15 mm, and ≤10 mm nodules was 46.5%-58.1%, 45.9%-54.1%, 36.0%-44.0%, and 36.4% for the 6 radiologists, respectively; the diagnosis accuracy rate was 19.0%-85.0%, 16.7%-6.5%, 18.2%-80.0%, and 0%-75.0%, respectively. The consistency of nodule detection among 6 doctors was good (Kappa value: 0.629-0.907) and the consistency of diagnostic results among them was moderate or poor (Kappa value: 0.350-0.653). The higher the radiologist's seniority, the shorter the time required to read the images. The reading time and the seniority of the radiologists had no significant influence on the detection and diagnosis results (P>0.05). Conclusions: The ability of radiographs to detect lung nodules ≤30 mm is limited, and the ability to determine the nature of the nodules is not sufficient, and the increase in reading time and seniority of the radiologists will not improve the diagnostic accuracy. X-ray film exam alone is not suitable for lung cancer diagnosis.

Humans , Retrospective Studies , Solitary Pulmonary Nodule/diagnostic imaging , Radiography , Multiple Pulmonary Nodules/diagnostic imaging , Tomography, X-Ray Computed/methods , Lung Neoplasms/diagnostic imaging , Sensitivity and Specificity , Radiographic Image Interpretation, Computer-Assisted/methods
Rev.chil.ortop.traumatol. ; 63(2): 93-99, ago.2022. tab, ilus
Article in Spanish | LILACS | ID: biblio-1436088


OBJETIVO Subrayar la importancia del diagnóstico detallado del dolor y realizar autocrítica por la tardanza diagnóstica de una cervicalgia mecánica. MATERIAL Y MÉTODOS Se presenta una paciente con dolor súbito en el cuello, con radiografías y exploración normales. La resonancia magnética (RM) resultó aparentemente anodina y se trató como cervicalgia mecánica. Tras varias consultas con el Servicio de Urgencias, se realizó una radiografía que informó de anomalía entre las primeras vértebras y se amplió con una tomografía computarizada (TC) que reveló fractura de odontoides y destrucción de la segunda cervical de origen metastásico.RESULTADOS La paciente fue tratada con radioterapia más collarín cervical y varios ciclos de quimioterapia, y falleció a los dos años.DISCUSIÓN Los cánceres que más frecuentemente metastatizan en la columna vertebral son los de mama, pulmón y próstata, siendo las localizaciones más frecuentes la torácica (70%), la lumbar (20%) y, por último, la cervical (10%). Cuando el tumor se descubre como metástasis, como en nuestro caso, estos pacientes tienen una alta tasa de mortalidad. Según nuestro conocimiento, en la literatura hay pocos casos descritos de neoplasias descubiertas como fractura patológica de odontoides. CONCLUSIÓN El dolor cervical no mecánico debido a una metástasis en odontoides, a consecuencia de una neoplasia de pulmón no diagnosticada, es un caso raro en la literatura y de complejo diagnóstico, en que una historia clínica detallada de la evolución del dolor y la presencia de signos de alarma son de vital importancia para su sospecha y rápido diagnóstico, mediante técnicas como la RM.

OBJETIVE To underline the importance of a detailed diagnosis of pain and perform self-criticism regarding the delay in diagnosis of a case of mechanical cervicalgia. MATERIALS AND METHODS We present the case of a patient with sudden neck pain, with normal X-rays. The magnetic resonance imaging (MRI) scan was apparently unremarkable, and the condition was treated as mechanical cervicalgia. After several consultations in the Emergency Department, a new X-ray was performed, which showed an anomaly between the first vertebrae and is accompanied by a computed tomography (CT) scan that revealed a fracture of the odontoid apophysis and destruction of the second cervical vertebra of metastatic origin. RESULTS The patient was treated with radiotherapy plus cervical collar and several cycles of chemotherapy, and died two years later. DISCUSSION The cancers that most frequently metastasize to the spine are those of the breast, lung and prostate, with the most frequent location being thoracic (70%), lumbar (20%), and, finally, cervical (10%). When the tumor is discovered as a metastasis, as in our case, these patients have a high mortality rate. To our knowledge, few cases of neoplasms discovered as pathological fractures of the odontoid apophysis have been described in the literature. CONCLUSION Non-mechanical cervicalgia due to metastasis of the odontoid apophysis as a result of an undiagnosed lung neoplasm is a rare case in the literature and a complex diagnosis, in which a detailed clinical history of the evolution of pain and the presence of red flags are of vital importance for its suspicion and rapid diagnosis, through techniques such as MRI.

Humans , Female , Middle Aged , Magnetic Resonance Imaging/methods , Neck Pain/diagnostic imaging , Lung Neoplasms/diagnostic imaging , Carcinoma , Neoplasm Metastasis
Rev. chil. enferm. respir ; 38(2): 117-122, jun. 2022. ilus
Article in Spanish | LILACS | ID: biblio-1407768


Resumen Objetivos: Presentar caso clínico y revisión de la literatura sobre asociación de tumores poco frecuentes compatibles con diagnóstico de tríada de Carney. Paciente y Métodos: Revisión de ficha clínica de paciente de sexo femenino de 39 años de edad con antecedentes de asma, quien acude a servicio de urgencias por síntomas respiratorios. En estudio con imágenes se evidencia masa pulmonar en lóbulo superior derecho probablemente hamartoma y masa en la bifurcación carotídea izquierda compatible con posible paraganglioma. Se completó el estudio con endoscopia digestiva alta sin evidencia de tumor gástrico y PET-CT (tomografía de emisión de positrones-tomografía computarizada) que descartó otras lesiones. Resultados: La paciente fue sometida a resección quirúrgica de ambos tumores (pulmonar y carotídeo). En estudio histopatológico diferido, se plantean los diagnósticos de paraganglioma carotideo y hamartoma pulmonar, el cual, luego de una segunda revisión histopatológica, es corregido a condroma pulmonar. Discusión: La tríada de Carney se compone por la asociación de al menos 2 de 3 tumores: tumor estromal gastrointestinal (GIST), paraganglioma extra-adrenal y condroma pulmonar. Su expresión es variable, coexistiendo en forma completa en solo el 22% de los casos. Conclusión: Los pacientes con sospecha de tríada de Carney deben recibir evaluación multidisciplinaria, estudio completo en búsqueda de tumores asociados y seguimiento a largo plazo por posibles recurrencias o metástasis.

Objective: To present a clinical case and review of the literature on the infrequent association of pulmonary and extra thoracic tumors compatible with Carney's triad. Patient and Methods: Review of clinical records of a 39 years-old female patient with history of asthma who presented in the emergency department with respiratory symptoms. An imaging study showed a pulmonary mass in the right upper lobe with the aspect of hamartoma and a mass in the left carotid artery bifurcation compatible with a possible paraganglioma. Upper gastrointestinal endoscopy showed no evidence of gastric tumor and a PET-CT (Positron Emission Tomography - Computed Tomography) excluded other lesions. Results: Patient underwent surgical resection of both tumors (pulmonary and carotid). Diagnosis of carotid paraganglioma and pulmonary hamartoma were stated by histopathology. However, lung tumor after a second pathological analysis was confirmed to be a pulmonary chondroma. Discussion: Carney's triad is defined by the association of at least 2 of 3 tumors: Gastrointestinal Stromal Tumor (GIST), extraadrenal paraganglioma and pulmonary chondroma. Its expression is variable, coexisting completely in only 22% of cases. Conclusion: Patients with suspected Carney's triad should receive a multidisciplinary assessment, a complete study searching associated tumors and long-term follow-up for recurrences or metastases.

Humans , Female , Adult , Paraganglioma/diagnostic imaging , Carotid Arteries/diagnostic imaging , Chondroma/diagnostic imaging , Lung Neoplasms/diagnostic imaging , Neoplasms, Multiple Primary , Paraganglioma/surgery , Radiography, Thoracic , Carotid Arteries/surgery , Chondroma/surgery , Gastrointestinal Stromal Tumors/surgery , Gastrointestinal Stromal Tumors/diagnostic imaging , Positron Emission Tomography Computed Tomography , Gastrointestinal Neoplasms/surgery , Gastrointestinal Neoplasms/diagnostic imaging , Lung Neoplasms/surgery
Rev. Hosp. Clin. Univ. Chile ; 33(1): 51-62, 2022. tab, ilus
Article in Spanish | LILACS | ID: biblio-1401534


Patients with SARS-Cov-2 infection and lung cancer have an unfavorable prognosis, characterized by higher rates of respiratory failure, use of invasive mechanical ventilation and higher mortality rates. Due to similarities in affected organs in Covid-19 and lung cancer, the radiological accurate diagnosis has become a challenge for physicians. Radiologic findings of lung cancer, such as parenchymal consolidation, spiculation and microlobulations are not specific. Imaging findings of Covid-19 in patients with lung cancer consist of multiple patchy multifocal bilateral ground-glass opacities and consolidations, being hardly distinguishable from an underlying lung malignancy. Differential radiological diagnosis in patients with lung cancer and Covid-19 must include pneumonitis and lung toxicity caused by chemotherapy, target therapies and radiotherapy. Follow-up and simulation tomography in radiotherapy have become an unexpected ally in the early detection of Covid-19 in asymptomatic stages in lung cancer patients. Patients with lung cancer should have particular considerations due to their high risk and the adverse effects of systemic therapies and radiotherapy. (AU)

Humans , Male , Female , COVID-19/diagnostic imaging , Lung Neoplasms/diagnostic imaging , COVID-19/complications , COVID-19/radiotherapy , Lung Neoplasms/complications , Lung Neoplasms/radiotherapy
Chinese Journal of Lung Cancer ; (12): 219-225, 2022.
Article in Chinese | WPRIM | ID: wpr-928801


Low-dose computed tomography (CT) for lung cancer screening has been proven to reduce lung cancer deaths in the screening group compared with the control group. The increasing number of pulmonary nodules being detected by CT scans significantly increase the workload of the radiologists for scan interpretation. Artificial intelligence (AI) has the potential to increase the efficiency of pulmonary nodule discrimination and has been tested in preliminary studies for nodule management. As more and more artificial AI products are commercialized, the consensus statement has been organized in a collaborative effort by Thoracic Surgery Committee, Department of Simulated Medicine, Wu Jieping Medical Foundation to aid clinicians in the application of AI-assisted management for pulmonary nodules.

Humans , Artificial Intelligence , China , Early Detection of Cancer , Lung Neoplasms/diagnostic imaging , Multiple Pulmonary Nodules , Sensitivity and Specificity , Solitary Pulmonary Nodule
Article in Chinese | WPRIM | ID: wpr-939613


Percutaneous pulmonary puncture guided by computed tomography (CT) is one of the most effective tools for obtaining lung tissue and diagnosing lung cancer. Path planning is an important procedure to avoid puncture complications and reduce patient pain and puncture mortality. In this work, a path planning method for lung puncture is proposed based on multi-level constraints. A digital model of the chest is firstly established using patient's CT image. A Fibonacci lattice sampling is secondly conducted on an ideal sphere centered on the tumor lesion in order to obtain a set of candidate paths. Finally, by considering clinical puncture guidelines, an optimal path can be obtained by a proposed multi-level constraint strategy, which is combined with oriented bounding box tree (OBBTree) algorithm and Pareto optimization algorithm. Results of simulation experiments demonstrated the effectiveness of the proposed method, which has good performance for avoiding physical and physiological barriers. Hence, the method could be used as an aid for physicians to select the puncture path.

Humans , Lung/diagnostic imaging , Lung Neoplasms/diagnostic imaging , Punctures , Thorax , Tomography, X-Ray Computed
Article in Chinese | WPRIM | ID: wpr-928228


Early screening based on computed tomography (CT) pulmonary nodule detection is an important means to reduce lung cancer mortality, and in recent years three dimensional convolutional neural network (3D CNN) has achieved success and continuous development in the field of lung nodule detection. We proposed a pulmonary nodule detection algorithm by using 3D CNN based on a multi-scale attention mechanism. Aiming at the characteristics of different sizes and shapes of lung nodules, we designed a multi-scale feature extraction module to extract the corresponding features of different scales. Through the attention module, the correlation information between the features was mined from both spatial and channel perspectives to strengthen the features. The extracted features entered into a pyramid-similar fusion mechanism, so that the features would contain both deep semantic information and shallow location information, which is more conducive to target positioning and bounding box regression. On representative LUNA16 datasets, compared with other advanced methods, this method significantly improved the detection sensitivity, which can provide theoretical reference for clinical medicine.

Humans , Algorithms , Lung Neoplasms/diagnostic imaging , Neural Networks, Computer , Radiographic Image Interpretation, Computer-Assisted/methods , Tomography, X-Ray Computed/methods
Arq. bras. cardiol ; 118(2): 478-485, 2022. tab, graf
Article in English, Portuguese | LILACS | ID: biblio-1364331


Resumo Fundamento A relação direta entre a doença arterial coronariana (DAC) e o câncer de pulmão não é bem conhecida. Objetivo Investigar a associação entre a gravidade anatômica da DAC e do câncer de pulmão. Métodos Trezentos pacientes, incluindo 75 recém-diagnosticados com câncer de pulmão e 225 pacientes correspondentes sem câncer, foram submetidos à angiografia coronária durante a internação, sem intervenção coronária percutânea (ICP) prévia nem enxerto de bypass da artéria coronária (CABG). O escore SYNTAX foi utilizado para avaliar a gravidade da DAC. Uma pontuação alta no escore foi definida como > 15 (o maior quartil do escore SYNTAX). O teste de tendência de Cochran-Armitage foi utilizado para verificar a distribuição dos escores dos pacientes. Uma análise de regressão logística foi utilizada para avaliar a associação entre a gravidade da DAC e o câncer de pulmão. Os valores de p foram estabelecidos quando o nível de significância era 5%. Resultados A tendência de distribuição dos escores SYNTAX dos pacientes por quartis foi diferente entre aqueles com câncer de pulmão e controles (do quartil mais baixo ao mais alto: 20,0%; 20,0%; 24,0%; 36,0% vs. 26,7%; 26,2%; 25,8%; 21,3%; p=0,022). A pontuação no escore SYNTAX foi mais alta em pacientes com câncer do que nos pacientes controle (36,0% vs. 21,3%, p=0,011).O maior quartil do escore demonstrou mais riscos de desenvolver câncer de pulmão em comparação ao quartil mais baixo (OR: 2.250, IC95%: 1.077 a 4.699 ; P -trend= 0,016). Após ajustes, os pacientes no maior quartil do escore SYNTAX tinham mais risco de desenvolver câncer de pulmão (OR: 2.1o49, IC95%: 1.008 a 4.584; P -trend= 0,028). Pacientes com escores SYNTAX alto (> 15) tinham 1.985 mais chances de ter câncer de pulmão (IC95%: 1.105-3.563, P= 0,022). Conclusão A gravidade anatômica da DAC está associada ao risco de câncer de pulmão, o que indica que um rastreamento completo deste tipo de câncer possa ser mais significativo entre pacientes com DAC.

Abstract Background The direct relationship between coronary artery disease (CAD) and lung cancer is not well known. Objective To investigate the association between the anatomical severity of CAD and lung cancer. Methods Three-hundred study patients, including 75 recently diagnosed lung cancer patients and 225 matched non-cancer patients, underwent coronary angiography during hospitalization without previous percutaneous coronary intervention (PCI) or coronary artery bypass grafting (CABG). The SYNTAX score (SXscore) was used to assess the severity of CAD. A high SXscore (SXhigh) grade was defined as SXscore > 15 (the highest quartile of the SXscore). The Cochran-Armitage test for trend was used to assess the distribution of patients' SXscores. Logistic regression analysis was used to assess the association between the severity of CAD and lung cancer. P-values were set when significance level was 5%. Results The distribution trend of patients' SXscore by quartiles was different between lung cancer patients and control patients (from the lowest to the highest quartile: 20.0%, 20.0%, 24.0%, 36.0% vs. 26.7%, 26.2%, 25.8%, 21.3%, p=0.022). The SX high rate was higher in lung cancer patients than in control patients (36.0% vs. 21.3%, p=0.011).The highest quartile of the SXscore showed higher risk of lung cancer in comparison to the lowest quartile (OR: 2,250, 95%CI: 1,077 to 4,699 ; P-trend= 0.016). After adjustment, patients in the highest quartile of the SXscore had higher risk of lung cancer (OR: 2,149, 95%CI: 1,008 to 4,584; P-trend= 0.028). Patients with high SXscore (> 15) had 1,985 times more chances of having lung cancer (95%CI: 1,105-3,563, P= 0.022). Conclusions The anatomical severity of CAD is associated with the risk of lung cancer, which indicates that a thorough lung cancer screening may be significant among severe CAD patients.

Humans , Coronary Artery Disease/surgery , Coronary Artery Disease/diagnostic imaging , Percutaneous Coronary Intervention , Severity of Illness Index , Cross-Sectional Studies , Coronary Angiography , Early Detection of Cancer , Lung Neoplasms/diagnostic imaging
Rev. am. med. respir ; 21(3): 235-236, set. 2021.
Article in Spanish | LILACS, BINACIS | ID: biblio-1431439


El cáncer de pulmón es la causa de muertes por cáncer por año más importante en Argentina. Según el Instituto Nacional de Cáncer fue responsable en 2019 de 10.662 muertes, lo que significa el 16% de las muertes por esa enfermedad en ambos sexos y el 19,2% del total de varones1-3. En el año 2018, 234.000 personas en Estados Unidos fueron diagnosticadas de cáncer de pulmón y ese mismo año 154.000 murieron a causa de dicho cáncer. La gran mayoría, 85% de los cánceres eran cáncer de pulmón no a células pequeñas, 10 a 15% eran a células pequeñas y menos del 5% eran tumores carcinoides de pulmón

Lung Neoplasms , Multiple Pulmonary Nodules , Lung Neoplasms/epidemiology , Lung Neoplasms/diagnostic imaging
Rev. cuba. med. mil ; 50(1): e523, 2021.
Article in Spanish | LILACS, CUMED | ID: biblio-1289502


Introducción: El cáncer de pulmón se considera el tumor maligno que más muertes produce en el mundo, por encima de otros cánceres y en el 90 por ciento de los casos se diagnostica en estadios avanzados. Objetivos: Describir una forma atípica de presentación de una neoplasia de pulmón. Caso clínico: Paciente masculino de 68 años, fumador de más de 37 años, con antecedentes de insuficiencia cardíaca para lo cual llevó tratamiento con nitrosorbide (10 mg) 1 tableta cada 8 horas y aspirina (125 mg) 1 tableta al día. Refirió dolor en miembro inferior izquierdo, intenso que no se aliviaba durante todo el día y se exacerbaba con los movimientos y esfuerzos físicos. Además, presentó aumento de volumen en la región anterior media del tórax, de aproximadamente 15 cm de longitud, dura, dolorosa, de bordes regulares, superficie lisa. No tuvo tos, disnea, fiebre u otra sintomatología. Conclusiones: El paciente tuvo una forma diferente de presentación de la neoplasia de pulmón. No presentó manifestaciones respiratorias que orientaran hacia la identificación de una causa pulmonar. Es necesaria la identificación del patrón cancerígeno, así como su estadiaje para prescribir el tratamiento y conducta adecuada (AU)

Introduction: Lung cancer is considered the malignant tumor that produces more deaths in the world over other cancers and in 90 percent of cases they are diagnosed in advanced stages. Objectives: To describe an atypical form of presentation of lung neoplasia. Clinical case: A 68-year-old male patient, a smoker over 37 years of age, with a history of heart failure for which he was treated with nitrosorbide (10 mg) 1 tablet every 8 hours and aspirin (125 mg) 1 tablet per day. He reported pain in the lower left limb, which was not relieved throughout the day and was exacerbated by physical movements and efforts. In addition, there was an increase in volume in the middle anterior region of the chest, approximately 15 cm long, hard, painful, with regular edges, smooth surface. He had no cough, dyspnea, fever or other symptoms. Conclusions: The patient had a different form of lung neoplasia presentation. He did not present respiratory manifestations that oriented towards the identification of a pulmonary cause. The identification of the carcinogenic pattern is necessary, as well as its staging to prescribe the appropriate treatment and management(AU)

Humans , Male , Aged , Cough , Smegmamorpha , Heart Failure , Isosorbide Dinitrate/therapeutic use , Lung Neoplasms/diagnostic imaging
Rev. cir. (Impr.) ; 73(1): 103-106, feb. 2021. ilus
Article in Spanish | LILACS | ID: biblio-1388776


Resumen Objetivo: Comunicar el caso de una paciente de 77 años tratada de un angiosarcoma de cuero cabelludo, que evoluciona con neumotórax bilateral, cuyo estudio histopatológico informa enfermedad metastásica. Materiales y Método: Revisión de ficha clínica electrónica, registro informático de imagenología e informes de biopsias. Seguimiento ambulatorio en policlínico de cirugía. Resultados: Se realiza manejo por videotoracoscopía bilateral, con bulectomía más pleurodesis. Discusión: El neumotórax secundario por enfermedad metastásica es poco frecuente, aproximadamente 1% a 2% de los casos. De los tumores que más frecuentemente metastizan al pulmón se encuentran los sarcomas. Conclusión: El neumotórax metastásico es poco frecuente y requiere un alto índice de sospecha. Su manejo va a depender del pronóstico y de las condiciones generales del paciente.

Aim: To report the case of a 77-year-old patient treated for angiosarcoma of the scalp, who evolves with bilateral pneumothorax, whose histopathological study reports metastatic disease. Materials and Method: Review of electronic clinical record, computerized imaging record and biopsy reports. Outpatient follow-up at the polyclinic of surgery. Results: Management was performed by bilateral videothoracoscopy, with bulectomy plus pleurodesis. Discussion: Secondary pneumothorax due to metastatic disease is rare, approximately 1 to 2% of cases. Sarcomas are among the tumors that most frequently metastasize to the lung. Conclusion: Metastatic pneumothorax is infrequent and requires a high index of suspicion. Its management will depend on the prognosis and the general conditions of the patient.

Humans , Female , Aged , Pneumothorax/diagnostic imaging , Scalp/pathology , Neoplasm Metastasis/therapy , Pneumothorax/therapy , Hemangiosarcoma/complications , Lung Neoplasms/diagnostic imaging
J. bras. pneumol ; 47(4): e20210025, 2021. tab, graf
Article in English | LILACS | ID: biblio-1286952


ABSTRACT Objective: To report the experience of a routine follow-up program based on medical visits and chest CT. Methods: This was a retrospective study involving patients followed after complete surgical resection of non-small cell lung cancer between April of 2007 and December of 2015. The follow-up program consisted of clinical examination and chest CT. Each follow-up visit was classified as a routine or non-routine consultation, and patients were considered symptomatic or asymptomatic. The outcomes of the follow-up program were no evidence of cancer, recurrence, or second primary lung cancer. Results: The sample comprised 148 patients. The median time of follow-up was 40.1 months, and 74.3% of the patients underwent fewer chest CTs than those recommended in our follow-up program. Recurrence and second primary lung cancer were found in 17.6% and 11.5% of the patients, respectively. Recurrence was diagnosed in a routine medical consultation in 69.2% of the cases, 57.7% of the patients being asymptomatic. Second primary lung cancer was diagnosed in a routine medical appointment in 94.1% of the cases, 88.2% of the patients being asymptomatic. Of the 53 patients who presented with abnormalities on chest CT, 41 (77.3%) were diagnosed with cancer. Conclusion: Most of the cases of recurrence, especially those of second primary lung cancer, were confirmed by chest CT in asymptomatic patients, indicating the importance of a strict follow-up program that includes chest CTs after surgical resection of lung cancer.

RESUMO Objetivo: Relatar a experiência de um programa de acompanhamento de rotina baseado em consultas médicas e TC de tórax. Métodos: Estudo retrospectivo envolvendo pacientes acompanhados após ressecção cirúrgica completa de câncer de pulmão de células não pequenas entre abril de 2007 e dezembro de 2015. O programa de acompanhamento consistiu em exame clínico e TC de tórax. Cada visita de acompanhamento foi classificada como uma consulta de rotina ou fora da rotina, e os pacientes foram considerados sintomáticos ou assintomáticos. Os desfechos do programa de acompanhamento foram ausência de evidência de câncer, recidiva ou segundo câncer de pulmão primário. Resultados: A amostra foi composta por 148 pacientes. A mediana do tempo de acompanhamento foi de 40,1 meses, e 74,3% dos pacientes realizaram menos TCs do que as recomendadas em nosso programa de acompanhamento. Recidiva e segundo câncer de pulmão primário foram encontrados em 17,6% e 11,5% dos pacientes, respectivamente. A recidiva foi diagnosticada em uma consulta médica de rotina em 69,2% dos casos, sendo 57,7% dos pacientes assintomáticos. O segundo câncer de pulmão primário foi diagnosticado em consulta médica de rotina em 94,1% dos casos, sendo 88,2% dos pacientes assintomáticos. Dos 53 pacientes que apresentaram anormalidades na TC de tórax, 41 (77,3%) foram diagnosticados com câncer. Conclusões: A maioria dos casos de recidiva, principalmente os de segundo câncer de pulmão primário, foi confirmada por TC de tórax em pacientes assintomáticos, indicando a importância de um programa de acompanhamento rigoroso que inclua TC de tórax após ressecção cirúrgica de câncer de pulmão.

Humans , Carcinoma, Non-Small-Cell Lung , Lung Neoplasms/surgery , Lung Neoplasms/diagnostic imaging , Tomography, X-Ray Computed , Retrospective Studies , Follow-Up Studies , Neoplasm Recurrence, Local/diagnostic imaging
Clinics ; 76: e2769, 2021. tab, graf
Article in English | LILACS | ID: biblio-1278923


OBJECTIVES: To explore the effect of tumor and normal lung volumes on lung volume-dose parameters in patients with non-small-cell lung cancer (NSCLC) who had undergone intensity-modulated radiation therapy (IMRT). METHODS: The clinical data of 208 patients with NSCLC who underwent radical IMRT between June 2014 and June 2018 were retrospectively analyzed. A regression model curve was used to evaluate the effect of tumor and normal lung volumes on normal lung relative volumes receiving greater than 5 and 20 Gy (V5, V20), on mean lung dose (MLD), and on absolute volumes spared from greater than 5 and 20 Gy (AVS5, AVS20). RESULTS: The V5, V20, and MLD of the bilateral lung were fitted to a quadratic equation curve with the change in tumor volume, which increased initially and then decreased when the tumor volume increased. The V5, V20, and MLD of the lung reached their apex when the tumor volumes were 288.07, 341.69, and 326.83 cm3, respectively. AVS5 and AVS20 decreased in a logarithmic curve with an increase in tumor volume. The V5, V20, and MLD of the small normal lung volume group were all significantly higher than those of the large normal lung volume group (p<0.001, p=0.004, p=0.002). However, the AVS5 and AVS20 of the small normal lung volume group were all significantly lower than those of the large normal lung volume group (p<0.001). CONCLUSION: The effects of tumor volume and normal lung volume on dose-volume parameters should be considered. AVS5 is an important supplementary dose limitation parameter for patients whose tumor volume exceeds a certain boundary value (approximately 300 cm3).

Humans , Carcinoma, Non-Small-Cell Lung/radiotherapy , Carcinoma, Non-Small-Cell Lung/diagnostic imaging , Radiotherapy, Intensity-Modulated , Lung Neoplasms/radiotherapy , Lung Neoplasms/diagnostic imaging , Radiotherapy Dosage , Retrospective Studies , Lung/diagnostic imaging , Lung Volume Measurements
Rev. Col. Bras. Cir ; 48: e20202890, 2021. tab, graf
Article in English | LILACS | ID: biblio-1287893


ABSTRACT Objective: to report the preoperative localization of pulmonary nodules with the placement of a guidewire oriented by Computed Tomography. Methods: the nodules were marked using a needle in the shape of a hook or another in the shape of a Q, guided by tomography. The choice of the location for the marking was the shortest distance from the chest wall to the nodule. The marking procedure was performed under local anesthesia and a tomographic control was obtained immediately at the end. Patients were referred to the operating room. Surgical resection occurred less than two hours after the needle placement. Results: between February 2017 and October 2019, 22 patients aged 43 to 82 years (mean 62.1) were included. The nodules had diameters that varied from 4 to 30 mm and the distance between the nodules and the pleural surface varied from 2 to 43 mm. The location and resection of the nodules were successfully performed in all cases. The guidewire was displaced in five cases. Five patients presented pneumothorax, with the space between the visceral and parietal pleura varying from 2 to 19 mm. In nine patients, an intraparenchymal hematoma of 6 to 35 mm in length was observed without signs, symptoms, or hemodynamic and ventilatory repercussions. The histopathological study was conclusive in all patients. Conclusions: the localization of pulmonary nodules through guidewires proved to be safe, reliable, and feasible in this series of cases. There was no need for surgical intervention to treat complications.

RESUMO Objetivo: relatar a marcação pré-operatória de nódulos pulmonares com o posicionamento de um fio-guia orientado por Tomografia Computadorizada. Métodos: os nódulos foram marcados utilizando-se agulha em formato de anzol ou outra em formato de Q, orientada por tomografia. A escolha do local para a realização da marcação foi o de menor distância da parede torácica até à lesão. O procedimento de marcação foi realizado sob anestesia local e controle tomográfico foi obtido imediatamente ao término da marcação. Os pacientes foram encaminhados ao centro cirúrgico. A ressecção cirúrgica ocorreu em tempo inferior a duas horas após a marcação. Resultados: entre fevereiro de 2017 e outubro de 2019, 22 pacientes, com faixa etária entre 43 e 82 anos (média 62,1) foram incluídos. Os nódulos apresentavam diâmetros que variaram de 4 a 30mm e, a distância entre os nódulos e a superfície pleural variou de 2 a 43mm. A localização e a resseção dos nódulos foram realizadas com sucesso em todos os casos. Houve deslocamento do fio-guia em cinco casos. Cinco pacientes apresentaram pneumotóraces, com o espaço entre as pleuras visceral e parietal variando de 2 a 19mm. Em nove pacientes, foi observado hematoma intraparenquimatoso com 6 a 35mm de extensão sem sinais, sintomas ou repercussão hemodinâmica e ventilatória. O estudo histopatológico foi conclusivo em todos os pacientes. Conclusões: a marcação de nódulos pulmonares por meio de fios marcadores se mostrou segura, confiável e factível nesta série de casos. Não houve necessidade de intervenção para o tratamento de complicações associadas ao método.

Humans , Adult , Aged , Aged, 80 and over , Solitary Pulmonary Nodule , Multiple Pulmonary Nodules , Lung Neoplasms/surgery , Lung Neoplasms/diagnostic imaging , Preoperative Care , Retrospective Studies , Thoracic Surgery, Video-Assisted , Lung , Middle Aged
Article in Chinese | WPRIM | ID: wpr-887885


Minute pulmonary meningothelial-like nodule(MPMN)is a rare respiratory disease with no specific clinical manifestations and requires bronchial or percutaneous lung biopsy for diagnosis.Here we report a case of an old male patient with recurrent cough and sputum as the main manifestations,which failed to be cured by antibiotic.His chest computed tomography showed a mass-like tumorous lesion located in the posterior segment of the right upper lobe,and the pathological diagnosis by percutaneous lung biopsy confirmed MPMN with lung infection.At the same time,we reviewed 34 cases to summarize the clinical data,pathological manifestation,diagnosis,treatment,and prognosis of MPMN.

Humans , Male , Lung , Lung Neoplasms/diagnostic imaging , Tomography, X-Ray Computed
Chinese Medical Journal ; (24): 1687-1694, 2021.
Article in English | WPRIM | ID: wpr-887650


BACKGROUND@#Computed tomography images are easy to misjudge because of their complexity, especially images of solitary pulmonary nodules, of which diagnosis as benign or malignant is extremely important in lung cancer treatment. Therefore, there is an urgent need for a more effective strategy in lung cancer diagnosis. In our study, we aimed to externally validate and revise the Mayo model, and a new model was established.@*METHODS@#A total of 1450 patients from three centers with solitary pulmonary nodules who underwent surgery were included in the study and were divided into training, internal validation, and external validation sets (n = 849, 365, and 236, respectively). External verification and recalibration of the Mayo model and establishment of new logistic regression model were performed on the training set. Overall performance of each model was evaluated using area under receiver operating characteristic curve (AUC). Finally, the model validation was completed on the validation data set.@*RESULTS@#The AUC of the Mayo model on the training set was 0.653 (95% confidence interval [CI]: 0.613-0.694). After re-estimation of the coefficients of all covariates included in the original Mayo model, the revised Mayo model achieved an AUC of 0.671 (95% CI: 0.635-0.706). We then developed a new model that achieved a higher AUC of 0.891 (95% CI: 0.865-0.917). It had an AUC of 0.888 (95% CI: 0.842-0.934) on the internal validation set, which was significantly higher than that of the revised Mayo model (AUC: 0.577, 95% CI: 0.509-0.646) and the Mayo model (AUC: 0.609, 95% CI, 0.544-0.675) (P < 0.001). The AUC of the new model was 0.876 (95% CI: 0.831-0.920) on the external verification set, which was higher than the corresponding value of the Mayo model (AUC: 0.705, 95% CI: 0.639-0.772) and revised Mayo model (AUC: 0.706, 95% CI: 0.640-0.772) (P < 0.001). Then the prediction model was presented as a nomogram, which is easier to generalize.@*CONCLUSIONS@#After external verification and recalibration of the Mayo model, the results show that they are not suitable for the prediction of malignant pulmonary nodules in the Chinese population. Therefore, a new model was established by a backward stepwise process. The new model was constructed to rapidly discriminate benign from malignant pulmonary nodules, which could achieve accurate diagnosis of potential patients with lung cancer.

Humans , Lung , Lung Neoplasms/diagnostic imaging , Multiple Pulmonary Nodules , Risk Assessment , Solitary Pulmonary Nodule/diagnostic imaging , Tomography, X-Ray Computed
Article in Chinese | WPRIM | ID: wpr-879290


Because of the unobvious early symptoms and low 5-year survival rate, the early diagnosis and treatment is of great significance for patients with non-small cell lung cancer. Glucose transporter-1 is the most widely distributed glucose transporters in various tissue cells in the human body, whose expression in non-small cell lung cancer is closely related to the histological types, lymph node metastasis, degree of differentiation, progression and prognosis.

Humans , Carcinoma, Non-Small-Cell Lung/diagnostic imaging , Fluorodeoxyglucose F18 , Glucose Transport Proteins, Facilitative , Glucose Transporter Type 1 , Lung Neoplasms/diagnostic imaging , Positron Emission Tomography Computed Tomography , Positron-Emission Tomography , Radiopharmaceuticals