scholarly journals Computer-aided diagnosis of lung nodule classification between benign nodule, primary lung cancer, and metastatic lung cancer at different image size using deep convolutional neural network with transfer learning

PLoS ONE ◽  
2018 ◽  
Vol 13 (7) ◽  
pp. e0200721 ◽  
Author(s):  
Mizuho Nishio ◽  
Osamu Sugiyama ◽  
Masahiro Yakami ◽  
Syoko Ueno ◽  
Takeshi Kubo ◽  
...  
Keyword(s):  
Lung Cancer ◽  
Lung Nodule ◽  
Primary Lung Cancer ◽  
Benign Nodule ◽  
Metastatic Lung Cancer ◽  
Image Size ◽  
Computer Aided ◽  
Metastatic Lung ◽  
Aided Diagnosis ◽  
Nodule Classification

scholarly journals Design Computer-Aided Diagnosis System Based on Chest CT Evaluation of Pulmonary Nodules

2022 ◽  
Vol 2022 ◽  
pp. 1-12
Author(s):  
Hui Wang ◽  
Yanying Li ◽  
Shanshan Liu ◽  
Xianwen Yue
Keyword(s):  
Lung Cancer ◽  
Image Annotation ◽  
Lung Nodule ◽  
Ct Images ◽  
Computer Aided Diagnosis ◽  
Diagnosis And Treatment ◽  
Lung Nodules ◽  
Diagnosis System ◽  
Computer Aided ◽  
Aided Diagnosis

At present, the diagnosis and treatment of lung cancer have always been one of the research hotspots in the medical field. Early diagnosis and treatment of this disease are necessary means to improve the survival rate of lung cancer patients and reduce their mortality. The introduction of computer-aided diagnosis technology can easily, quickly, and accurately identify the lung nodule area as an imaging feature of early lung cancer for the clinical diagnosis of lung cancer and is helpful for the quantitative analysis of the characteristics of lung nodules and is useful for distinguishing benign and malignant lung nodules. Growth provides an objective diagnostic reference standard. This paper studies ITK and VTK toolkits and builds a system platform with MFC. By studying the process of doctors diagnosing lung nodules, the whole system is divided into seven modules: suspected lung shadow detection, image display and image annotation, and interaction. The system passes through the entire lung nodule auxiliary diagnosis process and obtains the number of nodules, the number of malignant nodules, and the number of false positives in each set of lung CT images to analyze the performance of the auxiliary diagnosis system. In this paper, a lung region segmentation method is proposed, which makes use of the obvious differences between the lung parenchyma and other human tissues connected with it, as well as the position relationship and shape characteristics of each human tissue in the image. Experiments are carried out to solve the problems of lung boundary, inaccurate segmentation of lung wall, and depression caused by noise and pleural nodule adhesion. Experiments show that there are 2316 CT images in 8 sets of images of different patients, and the number of nodules is 56. A total of 49 nodules were detected by the system, 7 were missed, and the detection rate was 87.5%. A total of 64 false-positive nodules were detected, with an average of 8 per set of images. This shows that the system is effective for CT images of different devices, pixel pitch, and slice pitch and has high sensitivity, which can provide doctors with good advice.

Clinical outcomes of a phase I/II study of stereotactic radiotherapy for metastatic lung cancer

2006 ◽  
Vol 24 (18_suppl) ◽  
pp. 17081-17081
Author(s):  
Y. Nagata ◽  
M. Hiraoka ◽  
Y. Norihisa ◽  
K. Takayama ◽  
Y. Matsuo ◽  
...  
Keyword(s):  
Lung Cancer ◽  
Survival Rates ◽  
Three Dimensional ◽  
Primary Lung Cancer ◽  
Metastatic Lung Cancer ◽  
Body Frame ◽  
Metastatic Lung ◽  
Stereotactic Body Frame ◽  
Overall Survival Rates

17081 Background: The clinical significance of three-dimensional stereotactic radiotherapy (SRT) for primary lung cancer has been demonstrated by a few studies. This study was performed to evaluate the clinical outcomes of SRT for treating metastatic lung cancer using a stereotactic body frame. Methods: Of the forty-one patients who were treated between October 1998 and December 2004, thirty-four patients were evaluated in this study. All patients had less than two lung solitary metastases without any other metastases and primary recurrence. Fifteen patients were metastasis from primary lung cancer. The other 9 had metastasis from colo-rectal cancer, 5 from head and neck cancer, 3 from renal cancer, 1 from breast cancer, 1 from osteosarcoma of femur. All tumor size was less than 4 cm in diameter. Three-dimensional treatment planning using 5 to 8 non-coplanar beams was performed to maintain the target dose homogeneity and to decrease the irradiated lung volume >20 Gy. All patients were irradiated using a stereotactic body frame and 18 received 4 single 12 Gy, 16 recieved 5 single 12Gy of radiation at the isocenter over a period of 4–18 (median = 12) days. Results: Four patients (4/34%) completely disappeared after treatment (CR) and nine (9/34%) decreased in size by 30% or more (PR), eighteen had no tumor progression in clinically (SD). Three had progress disease (PD). Twenty-eight (82%) of 34 tumors were locally controlled during the follow-up period. Local recurrences and new metastase occurred in one and six of lung cancer patients, one and three of colo-rectal cancer patients, respectively. For recurrent primary lung cancer, the overall survival rates after one and three years were 100 and 63%, respectively, while for secondary lung cancer from colorectal cancer, the overall survival rates were 100 and 71%, respectively. During the follow-up of 10.5–80.6 (median = 27.3) months, no pulmonary complications greater than an CTC-AE V3.0 criteria of grade 4 were noted. Conclusions: Sterotactic radiotherapy using a stereotactic body frame was useful for the treatment of metastatic lung tumors. No significant financial relationships to disclose.

Microsatellite alteration in plasma DNA discriminates multiple primary lung cancer from metastatic lung cancer

2017 ◽  
Vol 6 (4) ◽  
pp. 720-731 ◽  
Author(s):  
Long Tian ◽  
Xin Wang ◽  
Rujun Zeng ◽  
Cheng Shen ◽  
Yutian Lai ◽  
...  
Keyword(s):  
Lung Cancer ◽  
Primary Lung Cancer ◽  
Metastatic Lung Cancer ◽  
Plasma Dna ◽  
Multiple Primary ◽  
Metastatic Lung

Sleep Disturbances in Metastatic Lung Cancer

2019 ◽  
Author(s):  
M. Kaous ◽  
D.D. Balachandran ◽  
G. Pacheco ◽  
S.A. Mahoney ◽  
J.N.T. Po ◽  
...  
Keyword(s):  
Lung Cancer ◽  
Sleep Disturbances ◽  
Metastatic Lung Cancer ◽  
Metastatic Lung
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