scholarly journals Primary solid lung cancerous nodules with different sizes: computed tomography features and their variations

2019 ◽  
Author(s):  
Zhi-gang Chu ◽  
Yan Zhang ◽  
Wang-jia Li ◽  
Qi Li ◽  
Yi-neng Zheng ◽  
...  
Keyword(s):  
Computed Tomography ◽  
Tumor Diameter ◽  
Lung Cancers ◽  
Halo Sign ◽  
Regular Shape ◽  
Ct Features

Abstract Background: The computed tomography (CT) features of small solid lung cancers and their changing regularity as they grow have not been well studied. The purpose of this study was to analyze the CT features of solid lung cancerous nodules (SLCNs) with different sizes and their variations. Methods: Between February 2013 and April 2018, a consecutive cohort of 224 patients (225 nodules) with confirmed primary SLCNs was enrolled. The nodules were divided into four groups based on tumor diameter (A: diameter ≤ 1.0 cm, 35 lesions; B: 1.0 cm < diameter ≤ 1.5 cm, 60 lesions; C: 1.5 cm < diameter ≤ 2.0 cm, 63 lesions; and D: 2.0 cm < diameter ≤ 3.0 cm, 67 lesions). CT features of nodules within each group were summarized and compared. Results: Most nodules in different groups were located in upper lobes (groups A−D：50.8%−73.1%) and had a gap from the pleura (groups A−D：89.6%−100%). The main CT features of smaller (diameter ≤ 1 cm) and larger (diameter > 1 cm) nodules were significantly different. As nodule diameter increased, more lesions showed a regular shape, homogeneous density, clear but coarse tumor–lung interface, lobulation, spiculation, spinous protuberance, vascular convergence, pleural retraction, bronchial truncation, and beam-shaped opacity (p < 0.05 for all). The presence of halo sign in all groups was similar (17.5%−22.5%; p > 0.05). Conclusions: The CT features vary among SLCNs with different sizes. Understanding their changing regularity is helpful for identifying smaller suspicious malignant nodules and early determining their nature in follow-up.

scholarly journals Primary solid lung cancerous nodules with different sizes: computed tomography features and their variations

BMC Cancer ◽  
2019 ◽  
Vol 19 (1) ◽  
Author(s):  
Zhi-gang Chu ◽  
Yan Zhang ◽  
Wang-jia Li ◽  
Qi Li ◽  
Yi-neng Zheng ◽  
...  
Keyword(s):  
Computed Tomography ◽  
Tumor Diameter ◽  
Lung Cancers ◽  
Halo Sign ◽  
Regular Shape ◽  
Ct Features

Abstract Background The computed tomography (CT) features of small solid lung cancers and their changing regularity as they grow have not been well studied. The purpose of this study was to analyze the CT features of solid lung cancerous nodules (SLCNs) with different sizes and their variations. Methods Between February 2013 and April 2018, a consecutive cohort of 224 patients (225 nodules) with confirmed primary SLCNs was enrolled. The nodules were divided into four groups based on tumor diameter (A: diameter ≤ 1.0 cm, 35 lesions; B: 1.0 cm < diameter ≤ 1.5 cm, 60 lesions; C: 1.5 cm < diameter ≤ 2.0 cm, 63 lesions; and D: 2.0 cm < diameter ≤ 3.0 cm, 67 lesions). CT features of nodules within each group were summarized and compared. Results Most nodules in different groups were located in upper lobes (groups A − D:50.8%–73.1%) and had a gap from the pleura (groups A − D:89.6%–100%). The main CT features of smaller (diameter ≤ 1 cm) and larger (diameter > 1 cm) nodules were significantly different. As nodule diameter increased, more lesions showed a regular shape, homogeneous density, clear but coarse tumor–lung interface, lobulation, spiculation, spinous protuberance, vascular convergence, pleural retraction, bronchial truncation, and beam-shaped opacity (p < 0.05 for all). The presence of halo sign in all groups was similar (17.5%–22.5%; p > 0.05). Conclusions The CT features vary among SLCNs with different sizes. Understanding their changing regularity is helpful for identifying smaller suspicious malignant nodules and early determining their nature in follow-up.

scholarly journals Primary solid lung cancerous nodules with different sizes: computed tomography features and their variations

2019 ◽  
Author(s):  
Zhi-gang Chu ◽  
Yan Zhang ◽  
Wang-jia Li ◽  
Qi Li ◽  
Yi-neng Zheng ◽  
...  
Keyword(s):  
Computed Tomography ◽  
Tumor Diameter ◽  
Lung Cancers ◽  
Halo Sign ◽  
Regular Shape ◽  
Ct Features

Abstract Background: The computed tomography (CT) features of small solid lung cancers and their changing regularity as they grow have not been well studied. The purpose of this study was to analyze the CT features of solid lung cancerous nodules (SLCNs) with different sizes and their variations. Methods: Between February 2013 and April 2018, a consecutive cohort of 224 patients (225 nodules) with confirmed primary SLCNs was enrolled. The nodules were divided into four groups based on tumor diameter (A: diameter ≤ 1.0 cm, 35 lesions; B: 1.0 cm < diameter ≤ 1.5 cm, 60 lesions; C: 1.5 cm < diameter ≤ 2.0 cm, 63 lesions; and D: 2.0 cm < diameter ≤ 3.0 cm, 67 lesions). CT features of nodules within each group were summarized and compared. Results: Most nodules in different groups were located in upper lobes (groups A−D：50.8%−73.1%) and had a gap from the pleura (groups A−D：89.6%−100%). The main CT features of smaller (diameter ≤ 1 cm) and larger (diameter > 1 cm) nodules were significantly different. As nodule diameter increased, more lesions showed a regular shape, homogeneous density, clear but coarse tumor–lung interface, lobulation, spiculation, spinous protuberance, vascular convergence, pleural retraction, bronchial truncation, and beam-shaped opacity (p < 0.05 for all). The presence of halo sign in all groups was similar (17.5%−22.5%; p > 0.05). Conclusions: The CT features vary among SLCNs with different sizes. Understanding their changing regularity is helpful for identifying smaller suspicious malignant nodules and early determining their nature in follow-up.

scholarly journals Primary solid lung cancerous nodules with different sizes: computed tomography features and their variations

2019 ◽  
Author(s):  
Zhi-gang Chu ◽  
Yan Zhang ◽  
Wang-jia Li ◽  
Qi Li ◽  
Yi-neng Zheng ◽  
...  
Keyword(s):  
Computed Tomography ◽  
Tumor Diameter ◽  
Lung Cancers ◽  
Halo Sign ◽  
Ct Features

Abstract Background The computed tomography (CT) features of smaller solid lung cancers and their changing regularity as they grow have not been well studied. The purpose of this study is to analyze CT features of solid lung cancerous nodules (SLCNs) with different sizes and their variations. Methods Between February 2013 and April 2018, a consecutive cohort of 224 patients (225 nodules) with confirmed primary SLCNs was enrolled. Nodules were divided based on the tumor diameter into four groups (A: diameter ≤ 1.0 cm, 35 lesions; B: 1.0 cm < diameter ≤ 1.5 cm, 60 lesions; C: 1.5 cm < diameter ≤ 2.0 cm, 63 lesions; and D: 2.0 cm < diameter ≤ 3.0 cm, 67 lesions). CT features of nodules within each group were summarized and compared. Results Most nodules in different groups were located in upper lobes (groups A−D:50.8%−73.1%) and had a gap with the pleura (groups A−D:89.6%−100%). The main CT features of smaller (diameter ≤ 1) and larger (diameter > 1cm) nodules were significantly different. As nodule diameter increased, more lesions had regular shapes, homogeneous density, clear but coarse tumor-lung interface, lobulation, spiculation, spinous protuberance, vascular convergence, pleural retraction, bronchial truncation, and beam-shaped opacity (p < 0.05 for each). Presence of halo sign in different groups was similar (17.5%−22.5%, p > 0.05). Conclusions The CT features vary in SLCNs with different sizes. Understanding their changing regularity is helpful for identifying smaller suspicious malignant nodules and early determining its nature in follow-up.

scholarly journals Early and late pulmonary manifestations of COVID-19 on computed tomography scan

2021 ◽  
Author(s):  
Samarra Mongi Kaabi ◽  
Ahmad Nasser Madkhali ◽  
Naif Hussain Alqahtani ◽  
Ammar Adel Bakhsh ◽  
Yousef Hussain Alharthi ◽  
...  
Keyword(s):  
Computed Tomography ◽  
Literature Review ◽  
Ct Imaging ◽  
Diagnosis And Prognosis ◽  
Halo Sign ◽  
Pulmonary Manifestations ◽  
The Common ◽  
Tomography Scan

Computed tomography (CT) of the chest has been previously reported as an efficacious approach for the early diagnosis and suspicion of COVID-19 infection, as diagnosis with other modalities is usually time-consuming and cannot detect the disease within the early stages. Many pulmonary manifestations have been previously observed under CT imaging of the chest. All of them have been linked with the different stages of the disease, indicating their abilities to diagnose and follow-up these patients.This present literature review aims to discuss the role of CT imaging of the chest in COVID-19 infections and it also aims to elaborate the common pulmonary manifestations that can be frequently observed to help with the diagnosis and prognosis of the disease. Moreover, ground-glass opacities (GGOs) have been reported among studies in the literature to be the most common findings as they remain the earliest among other diseases. The literature review also aims to invistagate whether GGOs can fade away or progress to consolidate in order to decide the prognosis of the disease and to identify the severity of cases. Consolidations have also been previously stated among studies in the literature as frequent pulmonary manifestations affecting patients with COVID-19 infections and are estimated to be present in 2-63% of patients with COVID-19 infections. Other pulmonary manifestations might also include bronchiectasis, lymphadenopathy, nodules, pleural effusion or thickening, and halo sign.

scholarly journals Computed Tomography Findings and Short-term follow-up with Novel Coronavirus Pneumonia

2020 ◽  
Author(s):  
Shi Qi ◽  
Hui Guo ◽  
Hua Shao ◽  
Siqin Lan ◽  
Yuanlin He ◽  
...  
Keyword(s):  
Computed Tomography ◽  
Early Diagnosis ◽  
Close Contact ◽  
Female Group ◽  
Improvement Rate ◽  
Pleural Thickening ◽  
Small Nodule ◽  
Novel Coronavirus ◽  
Ct Features

AbstractObjectiveTo assess the characteristics of computed tomography (CT) features and changes in CT monitoring in patients with novel coronavirus pneumonia (NCP).MethodsIn this retrospective, two-center study, we reviewed the medical records of 57 patients with NCP in CT from January 21 to February 12, 2020. Cases were confirmed by the results of nucleic acid test positive, and were analyzed for demographic, clinical, and CT features.ResultsOf the 57 patients, 31cases were male, and 45.6% were female. The average age was 46.5 ± 15.8 years. Patients had fever (84.2%), cough (49.1%), weak (31.6%), muscle ache (17.5%), shortness of breath (12.3%). The distribution of abnormality was a subpleural lesions in 51 cases, with 96.5% ground-glass opacity (GGO) and 68.4% consolidation. Another observation reveals 45.6% fibrosis, 33.3% lymph node enlargement, 21.1% pleural thickening, 17.5% small nodule, 7.0% white lung, 5.3% emphysema, and 3.5% bronchiectasis. Importantly, the group of men had more septal thickening and air trapping than the female group (p<0.05); Compared with the younger, the elderly had higher of subpleural lesion, interlobular septal thickening and pleural thickening (p<0.05). In the first monitoring, there were 37.3% improvement, 60.8% progress. In the second monitoring, there were 55% improvement, 35% progress. The improvement rate during the third follow-up visit was 100%.ConclusionsCT features and CT dynamic observation play a vital role in the diagnosis and treatment with NCP. It is conducive to early diagnosis, deepen the knowledge of NCP and accumulate experience.Key pointsBilateral and subpleural regions on CT are common in patients with novel coronavirus pneumonia (NCP), which were more extensive GGOs than consolidation.At CT, NCP shows GGOs without or with consolidation, which most of the patients appear interlobular interstitium thickening, vascular bundle thickening, air bronchogram, and fibrosis. In patients with fever in close contact with eruption areas of 2019-nCoV, familiarity with the CT findings may help with early diagnosis, early isolation, and management.

scholarly journals Early Computed Tomography Findings of Novel Coronavirus Disease 2019 (COVID-19) Pneumonia

2020 ◽  
Vol 15 (5) ◽  
Author(s):  
Pinar Diydem Yilmaz ◽  
Cengiz Kadiyoran ◽  
Suleyman Bakdik ◽  
Necdet Poyraz ◽  
Hulya Vatansev
Keyword(s):  
Computed Tomography ◽  
Retrospective Study ◽  
Imaging Modality ◽  
Ground Glass Opacity ◽  
Ground Glass ◽  
Pleural Thickening ◽  
Halo Sign ◽  
Ct Findings ◽  
Novel Coronavirus ◽  
Ct Features

Background: Novel coronavirus disease (COVID-19) pneumonia is caused by severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), which is highly contagious and threatens human health. Chest computed tomography (CT) is an accurate imaging modality for diagnosis and follow-up. Objectives: To investigate early CT features of COVID-19 pneumonia. Methods: Retrospective study. Sixty-three patients with COVID-19 pneumonia (28 men, 35 women; age range, 21 - 85 years; mean, 59 years) confirmed by reverse transcription-polymerase chain reaction (RT-PCR) were enrolled in this retrospective study and CT findings were evaluated. Patients were classified into three groups for estimating COVID-19 pneumonia, according to CT features. Results: Nineteen (30%) patients classified as out of COVID-19 pneumonia had normal CT findings. Twenty-eight (44%) patients, classified as highly suggestive for COVID-19 pneumonia, had typical findings for COVID-19 pneumonia. In highly suggestive for COVID-19 pneumonia group most common CT features were peripheral (64%), multilobar (96%), patchy, and round (54%) ground-glass opacity (GGO) (57%). Air bronchogram (93%), crazy-paving patterns (79%), and vascular thickening (61%) were the most common special findings. We only detected these rare findings such as halo sign, reverse halo sign, lymphadenopathy, pleural and pericardial effusion, pleural thickening, and fibrotic lines in patients with COVID-19 with chronic diseases. Conclusions: The early CT findings are peripheral, multilobar, patchy, and round ground glass opacities accompanied by vascular thickening, crazy-paving pattern, or air bronchogram sign. Rare findings are only seen in the presence of concomitant diseases.

Incidental Pancreatic Lipomas: Computed Tomography Imaging Findings with Emphasis on Diagnostic Challenges

2010 ◽  
Vol 61 (3) ◽  
pp. 156-161 ◽  
Author(s):  
Osman Temizoz ◽  
Hakan Genchellac ◽  
Ercument Unlu ◽  
Fatih Kantarci ◽  
Hasan Umit ◽  
...  
Keyword(s):  
Computed Tomography ◽  
Mean Value ◽  
Imaging Studies ◽  
Computed Tomography Imaging ◽  
Tomography Imaging ◽  
Asymptomatic Patients ◽  
Adjacent Structures ◽  
Ct Features ◽  
Histopathologic Confirmation

Purpose The purpose of this study was to describe the computed tomography (CT) findings of pancreatic lipomas of 9 cases, with emphasis to diagnostic challenges. Methods Between March 2006 and April 2008, 9 patients with pancreatic lipomas that were diagnosed by CT were reviewed in the present study. Clinical data and CT features of these 9 cases were retrospectively analysed. The patient population included 5 men and 4 women, aged 42–81 years (mean age, 65.8 years). The patients were followed up for at least 2 years with control CTs. Results In all 9 cases, a well-bordered nodular fat density lesion was incidentally detected in the pancreas. Four of the lesions had a lobulated contour, and 2 of them had septations. Two of the lipomas were located in the head, 3 in the neck, 3 in the corpus, and 1 in the tail. The CT densitometric values were between −90 and −120 HU, with a mean value of −106 HU. No pancreatic or biliary dilatation or compression to the adjacent structures was seen. All the cases had control CTs, and the lipomas remained unchanged during the follow-up period. Histopathologic confirmation of the diagnosis was not planned for the cases. Conclusion Lipomas are rarely encountered in the pancreas. They often are diagnosed coincidentally as small, well-circumscribed, encapsulated, homogeneous, mature adipose masses on imaging studies. Imaging follow-up strategy or histopathologic confirmation is not necessary in asymptomatic patients.

scholarly journals Isolated Extra hepatic Hydatid Cyst of Para spinal Muscle - Unusual Presentation - a Case Report

2012 ◽  
Vol 2 (1) ◽  
pp. 31-34 ◽  
Author(s):  
RK Rauniyar ◽  
U Sharma ◽  
S Baboo
Keyword(s):  
Computed Tomography ◽  
Hydatid Cyst ◽  
Hepatic Disease ◽  
Interesting Case ◽  
Imaging Features ◽  
Hepatic Hydatid Cyst ◽  
Diagnostic Dilemma ◽  
Ct Features ◽  
Hepatic Hydatid

Hydatid disease (echinococcosis) commonly involves liver while other known extrahepatic sites of involvement are lung, heart, brain, kidney, bones, spleen, pancreas, adrenal and muscles.1-3 Ultrasonography (US) and computed tomography (CT) features are characteristic especially in hepatic disease and hence diagnosed easily, while isolated extrahepatic diseases are sometimes difficult to diagnose. Here, we present an interesting case of hydatid cyst in paraspinal muscle with unusual clinical and imaging features, but treated successfully inspite, initial diagnostic dilemma. Imaging features and follow up result are discussed. NJR I VOL 2 I ISSUE 1 31-34 Jan-June, 2012 DOI: http://dx.doi.org/10.3126/njr.v2i1.6977

Evolving Early Lung Cancers Detected During Follow-Up of Idiopathic Interstitial Pneumonia: Serial CT Features

2015 ◽  
Vol 204 (6) ◽  
pp. 1190-1196 ◽  
Author(s):  
Sang Young Oh ◽  
Mi Young Kim ◽  
Ji-Eun Kim ◽  
Sung-Soo Kim ◽  
Tai Sun Park ◽  
...  
Keyword(s):  
Interstitial Pneumonia ◽  
Idiopathic Interstitial Pneumonia ◽  
Lung Cancers ◽  
Serial Ct ◽  
Ct Features
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