There are many kinds of diseases with diffuse cystic changes in the lung, which are caused by different etiologies. Therefore, the diagnosis and differential diagnosis are more complex. CT is the most important and be...There are many kinds of diseases with diffuse cystic changes in the lung, which are caused by different etiologies. Therefore, the diagnosis and differential diagnosis are more complex. CT is the most important and best method for evaluating diffuse cystic lesions of the lung. However, at present, because a variety of cystic lesions are rare diseases, there are few literatures to analyze the CT manifestations of diffuse cystic changes in the lung, especially the three rare diseases of pulmonary lymphangioleiomyomatosis, lung Langerhans cell histiocytosis and lymphocytic interstitial pneumonia. By analyzing the CT manifestations of diffuse multiple cystic changes in both lungs, this paper is helpful to summarize and compare the characteristics of these three diseases (plam, PLCH and lip), narrow the scope of diagnosis and differential diagnosis of these diseases, and try to avoid diagnosis by biopsy. The analysis shows that a variety of pathophysiological processes and diseases can be manifested as pulmonary sac like manifestations. A total of 103 patients with pulmonary lymphangioleiomyomatosis (plam), pulmonary Langerhans cell histiocytosis (PLCH) and lymphocytic interstitial pneumonia (LIP) confirmed by pathology in our hospital were collected. The clinical data and CT signs of the three were analyzed and compared. The results of this study showed that there were significant differences between plam and lip, PLCH and lip in the maximum cystic diameter and cystic boundary, but there were no significant differences in the thickest cystic wall thickness, cystic distribution, shape and nodules. Therefore, CT is still the only most useful non-invasive diagnostic tool for the evaluation of pulmonary cystic disease. Cystic lung disease is diagnosed by analysis, although a clear diagnosis may require clinical relevance and sometimes biopsy for histological diagnosis.展开更多
Objective To explore the differences between anatomic and CT measurements for anterior transoral axial pedicle screw placement. Methods C2 vertebrae of 60 adult spines were measured anatomically,while 20 adult spine v...Objective To explore the differences between anatomic and CT measurements for anterior transoral axial pedicle screw placement. Methods C2 vertebrae of 60 adult spines were measured anatomically,while 20 adult spine vertebrae were展开更多
One of the leading causes of mortality worldwide is liver cancer.The earlier the detection of hepatic tumors,the lower the mortality rate.This paper introduces a computer-aided diagnosis system to extract hepatic tumo...One of the leading causes of mortality worldwide is liver cancer.The earlier the detection of hepatic tumors,the lower the mortality rate.This paper introduces a computer-aided diagnosis system to extract hepatic tumors from computed tomography scans and classify them into malignant or benign tumors.Segmenting hepatic tumors from computed tomography scans is considered a challenging task due to the fuzziness in the liver pixel range,intensity values overlap between the liver and neighboring organs,high noise from computed tomography scanner,and large variance in tumors shapes.The proposed method consists of three main stages;liver segmentation using Fast Generalized Fuzzy C-Means,tumor segmentation using dynamic thresholding,and the tumor’s classification into malignant/benign using support vector machines classifier.The performance of the proposed system was evaluated using three liver benchmark datasets,which are MICCAI-Sliver07,LiTS17,and 3Dircadb.The proposed computer adided diagnosis system achieved an average accuracy of 96.75%,sensetivity of 96.38%,specificity of 95.20%and Dice similarity coefficient of 95.13%.展开更多
文摘There are many kinds of diseases with diffuse cystic changes in the lung, which are caused by different etiologies. Therefore, the diagnosis and differential diagnosis are more complex. CT is the most important and best method for evaluating diffuse cystic lesions of the lung. However, at present, because a variety of cystic lesions are rare diseases, there are few literatures to analyze the CT manifestations of diffuse cystic changes in the lung, especially the three rare diseases of pulmonary lymphangioleiomyomatosis, lung Langerhans cell histiocytosis and lymphocytic interstitial pneumonia. By analyzing the CT manifestations of diffuse multiple cystic changes in both lungs, this paper is helpful to summarize and compare the characteristics of these three diseases (plam, PLCH and lip), narrow the scope of diagnosis and differential diagnosis of these diseases, and try to avoid diagnosis by biopsy. The analysis shows that a variety of pathophysiological processes and diseases can be manifested as pulmonary sac like manifestations. A total of 103 patients with pulmonary lymphangioleiomyomatosis (plam), pulmonary Langerhans cell histiocytosis (PLCH) and lymphocytic interstitial pneumonia (LIP) confirmed by pathology in our hospital were collected. The clinical data and CT signs of the three were analyzed and compared. The results of this study showed that there were significant differences between plam and lip, PLCH and lip in the maximum cystic diameter and cystic boundary, but there were no significant differences in the thickest cystic wall thickness, cystic distribution, shape and nodules. Therefore, CT is still the only most useful non-invasive diagnostic tool for the evaluation of pulmonary cystic disease. Cystic lung disease is diagnosed by analysis, although a clear diagnosis may require clinical relevance and sometimes biopsy for histological diagnosis.
文摘Objective To explore the differences between anatomic and CT measurements for anterior transoral axial pedicle screw placement. Methods C2 vertebrae of 60 adult spines were measured anatomically,while 20 adult spine vertebrae were
文摘One of the leading causes of mortality worldwide is liver cancer.The earlier the detection of hepatic tumors,the lower the mortality rate.This paper introduces a computer-aided diagnosis system to extract hepatic tumors from computed tomography scans and classify them into malignant or benign tumors.Segmenting hepatic tumors from computed tomography scans is considered a challenging task due to the fuzziness in the liver pixel range,intensity values overlap between the liver and neighboring organs,high noise from computed tomography scanner,and large variance in tumors shapes.The proposed method consists of three main stages;liver segmentation using Fast Generalized Fuzzy C-Means,tumor segmentation using dynamic thresholding,and the tumor’s classification into malignant/benign using support vector machines classifier.The performance of the proposed system was evaluated using three liver benchmark datasets,which are MICCAI-Sliver07,LiTS17,and 3Dircadb.The proposed computer adided diagnosis system achieved an average accuracy of 96.75%,sensetivity of 96.38%,specificity of 95.20%and Dice similarity coefficient of 95.13%.
