Trends in Imaging Patterns of Bronchogenic Carcinoma: Reality or a Statistical Variation? A Single-Center Cross-Sectional Analysis of Outcomes.

INTRODUCTION: Bronchogenic carcinoma accounts for more cancer-related deaths than any other malignancy and is the most frequently diagnosed cancer in the world. Bronchogenic carcinoma is by far the leading cause of cancer death among both men and women, making up almost 25% of all cancer deaths. The objective of this study was to identify the changing trends, if any, in radiological patterns of bronchogenic carcinoma to document the various computed tomography (CT) appearances of bronchogenic carcinoma with histopathologic correlation. METHODS: This was a single-center cross-sectional study on 162 patients with clinical or radiological suspicion of bronchogenic carcinoma with histopathological confirmation of diagnosis. RESULTS: There was a male preponderance with bronchogenic carcinoma and smoking being the most common risk factor. Squamous cell carcinoma followed by adenocarcinoma and small cell carcinoma is the most common histologic subtype. Squamous cell carcinoma was noted to be present predominantly in the peripheral location (55.5%), and adenocarcinoma was noted to be present predominantly in the central location (68.4%). CONCLUSION: CT is the imaging modality of choice for evaluating bronchogenic carcinoma and provides for precise characterization of the size, extent, and staging of the carcinoma. Among 162 bronchogenic carcinoma cases evaluated in the current study, a definite changing trend in the radiological pattern of squamous cell carcinoma and adenocarcinoma was observed. Squamous cell carcinoma was predominantly noted to be a peripheral tumor, and adenocarcinoma is predominantly noted to be a central tumor. Surveillance or restaging scans are recommended, considering the high mortality rate in patients with bronchogenic carcinoma.

Hahn-PCNN-CNN: an end-to-end multi-modal brain medical image fusion framework useful for clinical diagnosis.

BACKGROUND: In medical diagnosis of brain, the role of multi-modal medical image fusion is becoming more prominent. Among them, there is no lack of filtering layered fusion and newly emerging deep learning algorithms. The former has a fast fusion speed but the fusion image texture is blurred; the latter has a better fusion effect but requires higher machine computing capabilities. Therefore, how to find a balanced algorithm in terms of image quality, speed and computing power is still the focus of all scholars. METHODS: We built an end-to-end Hahn-PCNN-CNN. The network is composed of feature extraction module, feature fusion module and image reconstruction module. We selected 8000 multi-modal brain medical images downloaded from the Harvard Medical School website to train the feature extraction layer and image reconstruction layer to enhance the network's ability to reconstruct brain medical images. In the feature fusion module, we use the moments of the feature map combined with the pulse-coupled neural network to reduce the information loss caused by convolution in the previous fusion module and save time. RESULTS: We choose eight sets of registered multi-modal brain medical images in four diease to verify our model. The anatomical structure images are from MRI and the functional metabolism images are SPECT and 18F-FDG. At the same time, we also selected eight representative fusion models as comparative experiments. In terms of objective quality evaluation, we select six evaluation metrics in five categories to evaluate our model. CONCLUSIONS: The fusion image obtained by our model can retain the effective information in source images to the greatest extent. In terms of image fusion evaluation metrics, our model is superior to other comparison algorithms. In terms of time computational efficiency, our model also performs well. In terms of robustness, our model is very stable and can be generalized to multi-modal image fusion of other organs.

Automated detection and segmentation of thoracic lymph nodes from CT using 3D foveal fully convolutional neural networks.

BACKGROUND: In oncology, the correct determination of nodal metastatic disease is essential for patient management, as patient treatment and prognosis are closely linked to the stage of the disease. The aim of the study was to develop a tool for automatic 3D detection and segmentation of lymph nodes (LNs) in computed tomography (CT) scans of the thorax using a fully convolutional neural network based on 3D foveal patches. METHODS: The training dataset was collected from the Computed Tomography Lymph Nodes Collection of the Cancer Imaging Archive, containing 89 contrast-enhanced CT scans of the thorax. A total number of 4275 LNs was segmented semi-automatically by a radiologist, assessing the entire 3D volume of the LNs. Using this data, a fully convolutional neuronal network based on 3D foveal patches was trained with fourfold cross-validation. Testing was performed on an unseen dataset containing 15 contrast-enhanced CT scans of patients who were referred upon suspicion or for staging of bronchial carcinoma. RESULTS: The algorithm achieved a good overall performance with a total detection rate of 76.9% for enlarged LNs during fourfold cross-validation in the training dataset with 10.3 false-positives per volume and of 69.9% in the unseen testing dataset. In the training dataset a better detection rate was observed for enlarged LNs compared to smaller LNs, the detection rate for LNs with a short-axis diameter (SAD) ≥ 20 mm and SAD 5-10 mm being 91.6% and 62.2% (p < 0.001), respectively. Best detection rates were obtained for LNs located in Level 4R (83.6%) and Level 7 (80.4%). CONCLUSIONS: The proposed 3D deep learning approach achieves an overall good performance in the automatic detection and segmentation of thoracic LNs and shows reasonable generalizability, yielding the potential to facilitate detection during routine clinical work and to enable radiomics research without observer-bias.

Detection of Micron and Submicron Particles in Human Bronchogenic Carcinomas.

Metal based particles were detected in pulmonary tumor tissue samples and reference lung tissue samples (lung tissue without carcinoma) by Raman microspectroscopy and scanning electron microscopy. Many of these particles were in the size below 1 µm. Using scanning electron microscopy, particles based on iron were found in the majority of samples. Siderite was determined as the form of the iron in several samples by Raman microspectroscopy. The hypothesis that significant statistical dependence exists between the presence of metals in the lung tissue and lung cancer incidence was not proved. However, statistical dependence between smoking and lung cancer incidence was determined as well as insignificant correlation between the presence of titanium based particles and lung cancer incidence. Titanium-based compounds were identified as TiO2 in the form of anatase and rutile. Both the reference and the carcinoma samples exhibited magnetic properties as confirmed by vibration magnetometry measurements.

Complete remission after hypofractionated radiotherapy for a patient with inoperable adenoid cystic carcinoma of bronchus: A case report.

RATIONALE: Tracheobronchial adenoid cystic carcinoma (TACC) is a rare malignancy. Surgical resection remains the standard treatment of choice. But it is frequently unresectable due to its local extension. The practicability and safety of hypofractionated radiotherapy (HRT) for TACC remains unknown since most of the TACCs are centrally located. PATIENT CONCERNS: A 57-year-old female presented with paroxysmal cough, expectoration, and hemoptysis. DIAGNOSES: Computed tomography (CT) scan of the chest revealed a nodule originating from the wall of right primary bronchus, with 1.9*1.2 cm in size. Bronchoscope confirmed the node on the medial wall of the right primary bronchus extending towards the carina, with a close distance of 0.5 cm. Biopsy from the node was considered as adenoid cystic carcinoma (ACC). The clinical stage of the patient was T3N0M0. INTERVENTIONS: The patient underwent HRT with a total dose of 60Gy in twelve fractions. OUTCOMES: The patient experienced complete remission after HRT. No symptomatic radiation-induced toxicity (≥grade 2) was observed during the follow-up. LESSONS: HRT may be a safe and effective modality for inoperable TACC.

Carcinoma broncogénico extensamente cavitado simulando una hernia de hiato paraesofágica / Extensive Cavitary Lung Cancer Mimicking Paraesophageal Hiatal Hernia

No disponible

Parálisis del nervio laríngeo recurrente en paciente con carcinoma broncogénico: una causa de hipermetabolismo de la cuerda vocal contralateral en PET/TC / Recurrent laryngeal nerve paralysis in a lung cancer patient: A cause of contralateral vocal cord hypermetabolism on PET/CT

No disponible

Lesion endobronquial en mujer fumadora / Endobronchial lesion in a female smoker

No disponible

Ecobroncoscopia negativa en la estadificación del carcinoma broncogénico / Negative Endobronchial Ultrasound in Lung Cancer Staging

No disponible

Incidental detection of bronchial carcinoid on Tc-99m sestamibi SPECT/CT myocardial perfusion scintigraphy.

Technetium-99m sestamibi MPS is a commonly employed imaging study for myocardial perfusion; however, incidental extracardiac sestamibi uptake requires further evaluation, and the tracer uptake in the thorax/mediastinum may be pathological. The authors present a case of significant extra-cardiac uptake seen on stress MPS images helping in the incidental detection of bronchial carcinoid.

Spontaneous right whole-lung torsion secondary to bronchial carcinoma: a case report.

BACKGROUND: Spontaneous whole lung torsion is an absolut rarity and most cases occur after previous surgery. CASE PRESENTATION: We present the case of a spontaneous whole-lung torsion in a 82-year old man. The patient was referred to our thoracic surgery department from the emergency department of a referring hospital with rapidly progressive dyspnea. CT-scan revealed a 180° degree counterclockwise torsion of the entire right lung with complete atelectasis and congestion of the upper lobe as well as pleural effusion. Thoracoscopy confirmed lung torsion and revealed hemorrhagic infarction of the upper lobe. Subsequently thoracotomy and upper lobectomy were performed. Most likely the lung torsion occurred due to a combination of pleural effusion and venous congestion with complete atelectasis of the upper lobe as a result of adenocarcinoma of the upper lobe. CONCLUSIONS: To our knowledge this is the first reported case of a patient presenting with lung torsion as the first symptom of lung cancer. When lung torsion is suspected rapid diagnosis is crucial in order to prevent hemorrhagic lung infarction.

Whole-body hybrid imaging concept for the integration of PET/MR into radiation therapy treatment planning.

Modern radiation therapy (RT) treatment planning is based on multimodality imaging. With the recent availability of whole-body PET/MR hybrid imaging new opportunities arise to improve target volume delineation in RT treatment planning. This, however, requires dedicated RT equipment for reproducible patient positioning on the PET/MR system, which has to be compatible with MR and PET imaging. A prototype flat RT table overlay, radiofrequency (RF) coil holders for head imaging, and RF body bridges for body imaging were developed and tested towards PET/MR system integration. Attenuation correction (AC) of all individual RT components was performed by generating 3D CT-based template models. A custom-built program for µ-map generation assembles all AC templates depending on the presence and position of each RT component. All RT devices were evaluated in phantom experiments with regards to MR and PET imaging compatibility, attenuation correction, PET quantification, and position accuracy. The entire RT setup was then evaluated in a first PET/MR patient study on five patients at different body regions. All tested devices are PET/MR compatible and do not produce visible artifacts or disturb image quality. The RT components showed a repositioning accuracy of better than 2 mm. Photon attenuation of -11.8% in the top part of the phantom was observable, which was reduced to -1.7% with AC using the µ-map generator. Active lesions of 3 subjects were evaluated in terms of SUVmean and an underestimation of -10.0% and -2.4% was calculated without and with AC of the RF body bridges, respectively. The new dedicated RT equipment for hybrid PET/MR imaging enables acquisitions in all body regions. It is compatible with PET/MR imaging and all hardware components can be corrected in hardware AC by using the suggested µ-map generator. These developments provide the technical and methodological basis for integration of PET/MR hybrid imaging into RT planning.

Impact of Endobronchial Ultrasound (EBUS) Training on the Diagnostic Yield of Conventional Transbronchial Needle Aspiration for Lymph Node Stations 4R and 7.

BACKGROUND: There is sparse literature on whether training in endobronchial ultrasound (EBUS)-guided transbronchial needle aspiration (TBNA) improves the diagnostic yield of conventional TBNA (cTBNA). OBJECTIVES: The aim of this study was to evaluate the diagnostic yield of cTBNA before and after the introduction of EBUS. METHODS: This was a retrospective analysis of patients who underwent cTBNA at our center. The study was divided into two periods, before and after the introduction of EBUS at our facility. The diagnostic yield of cTBNA was compared between the study periods. Rapid on-site cytological examination was not available. RESULTS: A total of 1,050 patients (61.6% men; mean age 45.6 years) underwent cTBNA during the study period (849 before EBUS; 201 after EBUS). Sarcoidosis (n = 527) followed by bronchogenic carcinoma (n = 222) formed the most common indications for performing cTBNA. There was a significant increase in both the success of obtaining a representative sample (from 71% to 85%), and the diagnostic yield (from 33% to 49.5%) of cTBNA, after the introduction of EBUS. The increase in the diagnostic yield of cTBNA after introduction of EBUS remained significant even after adjusting for years of performing cTBNA and the type of anesthesia (topical vs. sedation and topical) on a multivariate analysis. CONCLUSION: The diagnostic yield of cTBNA at our facility increased after the introduction of EBUS-TBNA. However, given the retrospective nature of the study, prospective studies are required to confirm our findings.

18 F-FDG uptake in focal organising pneumonia mimicking bronchial carcinoma.

BACKGROUND AND AIMS: Organising pneumonia (OP) is not a well-known cause of increased 18 F-FDG uptake, and the relationship of the increased 18 F-FDG uptake to clinical parameters has not been clearly identified. This study aims to assess the role of positron emission tomography-computed tomography (PET-CT) for the diagnosis of focal organised pneumonia that may mimic malignity because of mass-like lesions on the radiological images it causes. METHODS: Among 40 patients of whom histopathological exams were consistent with OP, medical records of 14 focal OP patients diagnosed with surgical biopsy were evaluated retrospectively. RESULTS: There were 10 male (71.4%) and 4 female (28.6%) patients. The mean age at the time of diagnosis was 57.2 ± 11.7 years, ranging from 38 to 85 years. Nine subjects (64.3%) were smokers. Eleven patients (78.5%) had symptoms, the remaining 3 patients (21.5%) were asymptomatic. Three patients (21.3%) had a history of malignancy. Focal lung lesion was initially detected by chest radiography in 10 patients (71.4%) and by computed tomography (CT) scan in all patients. CT scan showed a single lesion in 12 (85.7%) patients. The lesions were located in the right lung of the half of patients (50%) and in the left lung of the other half. The median diameter of the lesions was 3.4 cm (range, 1.8-6.0 cm). PET with 18 F-FDG was performed in all patients, and hypermetabolic activity of the focal lung lesion was demonstrated in all cases. The median values of maximum standardized uptake value was 3.5 ± 2.7 (min 2.1-max 13.1). CONCLUSION: Focal OP is a discrete form of OP that is associated with unifocal lesions on radiological images, and it can easily mimic lung cancer because of positivity on PET scans. There are no specific findings of PET scan for the diagnosis of OP.