scholarly journals Evaluation of solid pulmonary nodules in patients with bladder cancer with computed tomography based texture analysis method: Is it possible to differentiate metastatic - non-metastatic nodules?

2021 ◽  
Vol 69 (2) ◽  
pp. 227-236
Author(s):  
Hakan Abdullah Özgül ◽  
Canan Altay ◽  
Işıl Başara Akın ◽  
Ozan Bozkurt ◽  
Ömer Demir ◽  
...  
Keyword(s):  
Computed Tomography ◽  
Bladder Cancer ◽  
Texture Analysis ◽  
Pulmonary Nodules ◽  
Analysis Method

scholarly journals Solid Indeterminate Nodules with a Radiological Stability Suggesting Benignity: A Texture Analysis of Computed Tomography Images Based on the Kurtosis and Skewness of the Nodule Volume Density Histogram

2019 ◽  
Vol 2019 ◽  
pp. 1-7
Author(s):  
Bruno Max Borguezan ◽  
Agnaldo José Lopes ◽  
Eduardo Haruo Saito ◽  
Claudio Higa ◽  
Aristófanes Corrêa Silva ◽  
...  
Keyword(s):  
Computed Tomography ◽  
Texture Analysis ◽  
Sensitivity And Specificity ◽  
Roc Curve ◽  
Area Under The Curve ◽  
Pulmonary Nodules ◽  
Volume Density ◽  
Ct Scans ◽  
Computed Tomography Images ◽  
Indeterminate Nodules

Background. The number of incidental findings of pulmonary nodules using imaging methods to diagnose other thoracic or extrathoracic conditions has increased, suggesting the need for in-depth radiological image analyses to identify nodule type and avoid unnecessary invasive procedures. Objectives. The present study evaluated solid indeterminate nodules with a radiological stability suggesting benignity (SINRSBs) through a texture analysis of computed tomography (CT) images. Methods. A total of 100 chest CT scans were evaluated, including 50 cases of SINRSBs and 50 cases of malignant nodules. SINRSB CT scans were performed using the same noncontrast enhanced CT protocol and equipment; the malignant nodule data were acquired from several databases. The kurtosis (KUR) and skewness (SKW) values of these tests were determined for the whole volume of each nodule, and the histograms were classified into two basic patterns: peaks or plateaus. Results. The mean (MEN) KUR values of the SINRSBs and malignant nodules were 3.37 ± 3.88 and 5.88 ± 5.11, respectively. The receiver operating characteristic (ROC) curve showed that the sensitivity and specificity for distinguishing SINRSBs from malignant nodules were 65% and 66% for KUR values >6, respectively, with an area under the curve (AUC) of 0.709 (p<0.0001). The MEN SKW values of the SINRSBs and malignant nodules were 1.73 ± 0.94 and 2.07 ± 1.01, respectively. The ROC curve showed that the sensitivity and specificity for distinguishing malignant nodules from SINRSBs were 65% and 66% for SKW values >3.1, respectively, with an AUC of 0.709 (p<0.0001). An analysis of the peak and plateau histograms revealed sensitivity, specificity, and accuracy values of 84%, 74%, and 79%, respectively. Conclusions. KUR, SKW, and histogram shape can help to noninvasively diagnose SINRSBs but should not be used alone or without considering clinical data.

Computed tomography-based texture analysis of bladder cancer: differentiating urothelial carcinoma from micropapillary carcinoma

2018 ◽  
Vol 44 (1) ◽  
pp. 201-208 ◽  
Author(s):  
Ting-wei Fan ◽  
Harshawn Malhi ◽  
Bino Varghese ◽  
Steve Cen ◽  
Darryl Hwang ◽  
...  
Keyword(s):  
Computed Tomography ◽  
Bladder Cancer ◽  
Urothelial Carcinoma ◽  
Texture Analysis ◽  
Micropapillary Carcinoma

scholarly journals Percutaneous computed tomography guided biopsy of sub-solid pulmonary nodules: differentiating solid from ground glass components at the time of biopsy

2021 ◽  
Vol 69 ◽  
pp. 332-338
Author(s):  
Darragh Halpenny ◽  
Krishna Das ◽  
Etay Ziv ◽  
Andrew Plodkowski ◽  
Junting Zheng ◽  
...  
Keyword(s):  
Computed Tomography ◽  
Pulmonary Nodules ◽  
Ground Glass ◽  
Guided Biopsy

scholarly journals Tumor heterogeneity evaluated by computed tomography detects muscle-invasive upper tract urothelial carcinoma that is associated with inflammatory tumor microenvironment

2021 ◽  
Vol 11 (1) ◽  
Author(s):  
Keisuke Goto ◽  
Yukiko Honda ◽  
Kenichiro Ikeda ◽  
Kenshiro Takemoto ◽  
Toru Higaki ◽  
...  
Keyword(s):  
Computed Tomography ◽  
Standard Deviation ◽  
Tumor Microenvironment ◽  
Urothelial Carcinoma ◽  
Texture Analysis ◽  
Upper Tract Urothelial Carcinoma ◽  
Invasive Tumor ◽  
Upper Tract ◽  
Muscle Invasive ◽  
Muscle Invasive Tumor

AbstractTo detect muscle-invasive upper tract urothelial carcinoma, we evaluated the internal texture of the tumor using texture analysis of computed tomography images in 86 cases of upper tract urothelial carcinoma. The internal texture of the tumor was evaluated as the value of computed tomography attenuation number of the unenhanced image, and the median, standard deviation, skewness and kurtosis were calculated. Each parameter was compared with clinicopathological factors, and their associations with postoperative prognosis were investigated. Immunohistochemistry was performed to investigate the histological and molecular mechanisms of the inflammatory tumor microenvironment. The histogram of computed tomography attenuation number in non-muscle invasive tumor was single-peaked, whereas muscle invasive tumor showed a multi-peaked shape. In the parameters obtained by texture analysis, standard deviation was significantly associated with pathological stage (p < 0.0001), tumor grade (p = 0.0053), lymphovascular invasion (p = 0.0078) and concomitant carcinoma in situ (p = 0.0177) along with recurrence-free (p = 0.0191) and overall survival (p = 0.0184). The standard deviation value correlated with the amount of stromal components (p < 0.0001) and number of tumor-infiltrating macrophages (p < 0.0001). In addition, higher expression of high mobility group box 1 was found in heterogeneous tumor. Tumor heterogeneity evaluated by texture analysis was associated with muscle-invasive upper tract urothelial carcinoma and represented an inflammatory tumor microenvironment and useful as the clinical assessment to differentiate muscle invasive tumor.

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