A computer-based method of segmenting ground glass nodules in pulmonary CT images: comparison to expert radiologists' interpretations

2005 ◽  
Author(s):  
Li Zhang ◽  
Tiantian Zhang ◽  
Carol L. Novak ◽  
David P. Naidich ◽  
Daniel A. Moses
Keyword(s):  
Ct Images ◽  
Ground Glass ◽  
Computer Based ◽  
Ground Glass Nodules ◽  
Pulmonary Ct

CT Characteristics for Predicting Invasiveness in Pulmonary Pure Ground-Glass Nodules

2020 ◽  
Vol 215 (2) ◽  
pp. 351-358 ◽  
Author(s):  
Zhi-gang Chu ◽  
Wang-jia Li ◽  
Bin-jie Fu ◽  
Fa-jin Lv
Keyword(s):  
Ground Glass ◽  
Ground Glass Nodules

scholarly journals Diffuse Cystic Metastases in the Lung after Nivolumab Treatment in a Patient with Non-Small Cell Lung Cancer: A Case Report

2021 ◽  
pp. 34-38
Author(s):  
Satoshi Muto ◽  
Yuki Ozaki ◽  
Takuya Inoue ◽  
Naoyuki Okabe ◽  
Yuki Matsumura ◽  
...  
Keyword(s):  
Lung Adenocarcinoma ◽  
Immune Checkpoint ◽  
Immune Checkpoint Inhibitors ◽  
Checkpoint Inhibitors ◽  
Lung Metastases ◽  
Sialyl Lewis X ◽  
Ground Glass ◽  
Cystic Lesions ◽  
Positron Emission ◽  
Ground Glass Nodules

Although diffuse cysts in the lung can be found in many diseases, they are uncommon in metastatic lung adenocarcinoma. They are even more unusual after the administration of immune checkpoint inhibitors. A case of lung adenocarcinoma that developed diffuse cysts in the lungs during treatment with nivolumab is reported. The patient was a 60-year-old woman with postoperative recurrent lung adenocarcinoma in mediastinal lymph nodes and pleural dissemination. After first-line treatment with cisplatin, pemetrexed, and bevacizumab, computed tomography (CT) showed disease progression. Treatment was then switched to nivolumab. After 5 courses of nivolumab, CT showed multiple ground-glass nodules in her lungs. After 4 more courses of nivolumab, the ground-glass nodules increased in size, and cystic air spaces appeared in their centers. The patient did not have any symptoms. Laboratory tests showed no evidence of infection or nivolumab-induced pneumonitis. Sialyl Lewis X-i antigen increased, and positron emission tomography showed abnormal uptake of 18F-fluorodeoxyglucose in these lesions. Considering this evidence, the cystic lesions were diagnosed as multiple lung metastases. Various differential diagnoses should be considered when diffuse cystic lesions are found in the lungs after the administration of immune checkpoint inhibitors.

scholarly journals Enlarged inflammatory multiple ground-glass nodules of the lung over five years' follow-up: A surgical case report

2015 ◽  
Vol 29 (7) ◽  
pp. 890-895
Author(s):  
Naoya Yokomakura ◽  
Hiroo Nishijima ◽  
Masakazu Yanagi ◽  
Kazuhiro Wakida ◽  
Aya Harada ◽  
...  
Keyword(s):  
Case Report ◽  
Ground Glass ◽  
Surgical Case ◽  
Ground Glass Nodules

scholarly journals Significance of intra-nodular vessel sign in differentiating benign and malignant pulmonary ground-glass nodules

2021 ◽  
Vol 12 (1) ◽  
Author(s):  
Bin-jie Fu ◽  
Fa-jin Lv ◽  
Wang-jia Li ◽  
Rui-yu Lin ◽  
Yi-neng Zheng ◽  
...  
Keyword(s):  
Differential Diagnosis ◽  
Pulmonary Veins ◽  
Ground Glass ◽  
Occurrence Rate ◽  
Pathological Examination ◽  
Common Occurrence ◽  
Vascular Changes ◽  
Distance Ratio ◽  
Pulmonary Vessels ◽  
Ground Glass Nodules

Abstract Background The presence of pulmonary vessels inside ground-glass nodules (GGNs) of different nature is a very common occurrence. This study aimed to reveal the significance of pulmonary vessels displayed in GGNs in their diagnosis and differential diagnosis. Results A total of 149 malignant and 130 benign GGNs confirmed by postoperative pathological examination were retrospectively enrolled in this study. There were significant differences in size, shape, nodule-lung interface, pleural traction, lobulation, and spiculation (each p < 0.05) between benign and malignant GGNs. Compared with benign GGNs, intra-nodular vessels were more common in malignant GGNs (67.79% vs. 54.62%, p = 0.024), while the vascular categories were similar (p = 0.663). After adjusting the nodule size and the distance between the nodule center and adjacent pleura [radius–distance ratio, RDR], the occurrences of internal vessels between them were similar. The number of intra-nodular vessels was positively correlated with nodular diameter and RDR. Vascular changes were more common in malignant than benign GGNs (52.48% vs. 18.31%, p < 0.0001), which mainly manifested as distortion and/or dilation of pulmonary veins (61.19%). The occurrence rate, number, and changes of internal vessels had no significant differences among all the pre-invasive and invasive lesions (each p > 0.05). Conclusions The incidence of internal vessels in GGNs is mainly related to their size and the distance between nodule and pleura rather than the pathological nature. However, GGNs with dilated or distorted internal vessels, especially pulmonary veins, have a higher possibility of malignancy.

GROUND-GLASS OPACITY DETECTION BY USING CORRELATION BETWEEN SUCCESSIVE SLICE IMAGES

2007 ◽  
Vol 16 (04) ◽  
pp. 583-592 ◽  
Author(s):  
HYOUNGSEOP KIM ◽  
MASAKI MAEKADO ◽  
JOO KOOI TAN ◽  
SEIJI ISHIKAWA ◽  
MASAAKI TSUKUDA
Keyword(s):  
Soft Tissues ◽  
Automatic Segmentation ◽  
Ground Glass Opacity ◽  
Processing Technique ◽  
Ct Images ◽  
Image Processing Technique ◽  
Ground Glass ◽  
Lung Region ◽  
Mdct Image ◽  
Thorax Ct

Medical imaging systems such as computed tomography, magnetic resonance imaging provided a high resolution image for powerful diagnostic tool in visual inspection fields by physician. Especially MDCT image can be used to obtain detailed images of the pulmonary anatomy, including pulmonary diseases such as the pulmonary nodules, the pulmonary vein, etc. In the medical image processing technique, segmentation is a difficult task because surrounding soft tissues and organs have similar CT values and sometimes contact with each other. We propose a new technique for automatic segmentation of lung regions and its classification for ground-glass opacity from the extracted lung regions by computer based on a set of the thorax CT images. In this paper, we segment the lung region for extraction of the region of interest employing binarization and labeling process from the inputted each slices images. The region having the largest area is regarded as the tentative lung regions. Furthermore, the ground-glass opacity is classified by correlation distribution on the slice to slice from the extracted lung region with respect to the thorax CT images. Experiment is performed employing twenty six thorax CT image sets and 96% of recognition rates were achieved. Obtained results are shown along with a discussion.

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