scholarly journals Prediction of Inflammatory Breast Cancer Survival Outcomes Using Computed Tomography-Based Texture Analysis

2021 ◽  
Vol 9 ◽  
Author(s):  
Sung Eun Song ◽  
Bo Kyoung Seo ◽  
Kyu Ran Cho ◽  
Ok Hee Woo ◽  
Balaji Ganeshan ◽  
...  
Keyword(s):  
Breast Cancer ◽  
Computed Tomography ◽  
Standard Deviation ◽  
Texture Analysis ◽  
Inflammatory Breast Cancer ◽  
Ct Images ◽  
Chest Ct ◽  
Invasive Technique ◽  
Textural Features

Background: Although inflammatory breast cancer (IBC) has poor overall survival (OS), there is little information about using imaging features for predicting the prognosis. Computed tomography (CT)-based texture analysis, a non-invasive technique to quantify tumor heterogeneity, could be a potentially useful imaging biomarker. The aim of the article was to investigate the usefulness of chest CT-based texture analysis to predict OS in IBC patients.Methods: Of the 3,130 patients with primary breast cancers between 2006 and 2016, 104 patients (3.3%) with IBC were identified. Among them, 98 patients who underwent pre-treatment contrast-enhanced chest CT scans, got treatment in our institution, and had a follow-up period of more than 2 years were finally included for CT-based texture analysis. Texture analysis was performed on CT images of 98 patients, using commercially available software by two breast radiologists. Histogram-based textural features, such as quantification of variation in CT attenuation (mean, standard deviation, mean of positive pixels [MPP], entropy, skewness, and kurtosis), were recorded. To dichotomize textural features for survival analysis, receiver operating characteristic curve analysis was used to determine cutoff points. Clinicopathologic variables, such as age, node stage, metastasis stage at the time of diagnosis, hormonal receptor positivity, human epidermal growth factor receptor 2 positivity, and molecular subtype, were assessed. A Cox proportional hazards model was used to determine the association of textural features and clinicopathologic variables with OS.Results: During a mean follow-up period of 47.9 months, 41 of 98 patients (41.8%) died, with a median OS of 20.0 months. The textural features of lower mean attenuation, standard deviation, MPP, and entropy on CT images were significantly associated with worse OS, as was the M1 stage among clinicopathologic variables (all P-values < 0.05). In multivariate analysis, lower mean attenuation (hazard ratio [HR], 3.26; P = 0.003), lower MPP (HR, 3.03; P = 0.002), and lower entropy (HR, 2.70; P = 0.009) on chest CT images were significant factors independent from the M1 stage for predicting worse OS.Conclusions: Lower mean attenuation, MPP, and entropy on chest CT images predicted worse OS in patients with IBC, suggesting that CT-based texture analysis provides additional predictors for OS.

scholarly journals Computed tomography texture analysis of response to second-line nivolumab in metastatic non-small cell lung cancer

2020 ◽  
Vol 9 (3) ◽  
pp. LMT38
Author(s):  
Rahul Ladwa ◽  
Kate E Roberts ◽  
Connor O’Leary ◽  
Nicole Maggacis ◽  
Kenneth J O’Byrne ◽  
...  
Keyword(s):  
Computed Tomography ◽  
Standard Deviation ◽  
Texture Analysis ◽  
Progression Free Survival ◽  
Hazard Ratio ◽  
Positive Skewness ◽  
Measurement Results ◽  
Entropy Measurement ◽  
Low Entropy

Objectives: Assess computed tomography texture analysis of patients likely to benefit from nivolumab. Materials & methods: Texture analysis was used to quantify heterogeneity within the largest tumor before immunotherapy. Histogram analysis was classified as hyperdense (positive skewness) or hypodense (negative skewness) and subclassified on median standard deviation value or entropy measurement. Results: 47 patients were included. At a median follow-up of 18 months, statistical significant differences in progression-free survival were observed when stratified by positive skewness with low entropy, hazard ratio: 0.43 (0.19–0.95); p = 0.036, and positive skewness with low standard deviation, hazard ratio: 0.42 (0.18–0.96); p = 0.04. Conclusion: Patients who derive a clinical benefit to Nivolumab show a computed tomography texture of a hyperdense yet homogenous tumor.

scholarly journals More than six weeks to resolve from CT manifestations in COVID-19 patient: A case report

2020 ◽  
Author(s):  
Wenxiong Xu ◽  
Ziying Lei ◽  
Dabiao Chen ◽  
Xuejun Li ◽  
Zhanlian Huang ◽  
...  
Keyword(s):  
Computed Tomography ◽  
Health Care Providers ◽  
Ct Images ◽  
Ct Imaging ◽  
Chest Ct ◽  
Care Providers ◽  
Case Presentation ◽  
Chest Computed Tomography ◽  
Guangzhou City

Abstract Background: Coronavirus Disease 2019 (COVID-19) outbroke in Wuhan and spread to the world recently. But there were little studies on how long it took to recover from treatment beginning and resolve from chest computed tomography (CT) imaging so far.Case presentation: A patient diagnosed with severe type of COVID-19 was reported in this study. He was the first patient recovered and discharged from our hospital located in Guangzhou city. Initial chest computed tomography (CT) images of him showed bilateral multiple lobular peripheral ground-glass opacities without consolidation. Features and changes of his chest CT images from admission to discharge and follow-up were demonstrated. It took more than six weeks for lesion resolution in CT manifestations although the symptoms improved for a period of time after proper treatment. Conclusions: Repeated chest CT imaging for a period of more than six weeks in patients of COVID-19 is necessary to ascertain the lesion resolution and completely recovery. The result could be supplementary data to COVID-19 and help health care providers manage the COVID-19 patients.

scholarly journals Value of contrast-enhanced CT texture analysis in predicting IDH mutation status of intrahepatic cholangiocarcinoma

2021 ◽  
Vol 11 (1) ◽  
Author(s):  
Yong Zhu ◽  
Yingfan Mao ◽  
Jun Chen ◽  
Yudong Qiu ◽  
Yue Guan ◽  
...  
Keyword(s):  
Texture Analysis ◽  
Ct Images ◽  
Textural Features ◽  
Mutation Status ◽  
Portal Venous Phase ◽  
Contrast Enhanced Ct ◽  
Contrast Enhanced ◽  
Enhanced Ct ◽  
Venous Phase ◽  
Ct Texture Analysis

AbstractTo explore the value of contrast-enhanced CT texture analysis in predicting isocitrate dehydrogenase (IDH) mutation status of intrahepatic cholangiocarcinomas (ICCs). Institutional review board approved this study. Contrast-enhanced CT images of 138 ICC patients (21 with IDH mutation and 117 without IDH mutation) were retrospectively reviewed. Texture analysis was performed for each lesion and compared between ICCs with and without IDH mutation. All textural features in each phase and combinations of textural features (p < 0.05) by Mann–Whitney U tests were separately used to train multiple support vector machine (SVM) classifiers. The classification generalizability and performance were evaluated using a tenfold cross-validation scheme. Among plain, arterial phase (AP), portal venous phase (VP), equilibrium phase (EP) and Sig classifiers, VP classifier showed the highest accuracy of 0.863 (sensitivity, 0.727; specificity, 0.885), with a mean area under the receiver operating characteristic curve of 0.813 in predicting IDH mutation in validation cohort. Texture features of CT images in portal venous phase could predict IDH mutation status of ICCs with SVM classifier preoperatively.

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.

scholarly journals CT and SPECT image fusion using external fiducial markers for detection of the sentinel lymph nodes in breast cancer

2017 ◽  
Vol 4 (2) ◽  
pp. 23
Author(s):  
Kei Haramiishi ◽  
Shinya Nakamura ◽  
Tomoaki Tsuchiya ◽  
Atsushi Fukui ◽  
Midori Matsuyama ◽  
...  
Keyword(s):  
Breast Cancer ◽  
Computed Tomography ◽  
Lymph Nodes ◽  
Image Fusion ◽  
Single Photon ◽  
Photon Emission ◽  
Ct Images ◽  
Fiducial Markers ◽  
Single Photon Emission ◽  
Spect Image

Object: Hybrid single-photon emission computed tomography/computed tomography, which is recently developed, is useful for the sentinel node (SN) mapping in patients with breast cancer. However, this expensive new technology is only available at limited hospitals. The purpose of this study was to assess the feasibility of software-based computed tomography (CT) and single-photon emission tomography (SPECT) image fusion using external fiducial markers for visualization of SNs in breast cancer.Methods: Preoperative lymphoscintigraphy using 99mTc-phytate colloid was performed in 70 consecutive patients (mean age, 55.3 ± 11.8). Continually, SPECT and low-dose chest CT were performed using an 241Am-containing button as an external fiducial marker attached to the skin surface of the patient’s chest wall. The acquired SPECT and CT images were rescaled, interpolated, reformatted, and registered point-by-point on a workstation.Results: SPECT detected SN sites, including axillar (n = 96) and internal mammary lesions (n = 7). On fused images, precise overlap of hot spots shown at the corresponding lymph nodes on CT images was achieved in all but 2 cases. In cases with axillar lesions, rendering the fused images into 3D volumes with accentuation of the pectoralis minor muscle was helpful for diagnosis of SN locations in level II (n = 10). After surgery, all nodes were depicted as “hot nodes” on fused images, and 14 metastatic nodes were confirmed by histological examination.Conclusions: External fiducial-based coregistration of SPECT lymphoscintigraphic and CT images depicted the precise location of SN drainage and may provide useful information for preoperative planning, without the need for hybrid SPECT/CT.

Non-Rigid Liver Registration in Liver Computed Tomography Images Using Elastic Method with Global and Local Deformations

2021 ◽  
Vol 11 (3) ◽  
pp. 810-816
Author(s):  
Taeyong Park ◽  
Jeongjin Lee ◽  
Juneseuk Shin ◽  
Kyoung Won Kim ◽  
Ho Chul Kang
Keyword(s):  
Computed Tomography ◽  
Liver Cancer ◽  
Ct Images ◽  
Local Deformation ◽  
Rigid Registration ◽  
Liver Ct ◽  
Liver Surface ◽  
Global And Local ◽  
Local Deformations

The study of follow-up liver computed tomography (CT) images is required for the early diagnosis and treatment evaluation of liver cancer. Although this requirement has been manually performed by doctors, the demands on computer-aided diagnosis are dramatically growing according to the increased amount of medical image data by the recent development of CT. However, conventional image segmentation, registration, and skeletonization methods cannot be directly applied to clinical data due to the characteristics of liver CT images varying largely by patients and contrast agents. In this paper, we propose non-rigid liver segmentation using elastic method with global and local deformation for follow-up liver CT images. To manage intensity differences between two scans, we extract the liver vessel and parenchyma in each scan. And our method binarizes the segmented liver parenchyma and vessel, and performs the registration to minimize the intensity difference between these binarized images of follow-up CT images. The global movements between follow-up CT images are corrected by rigid registration based on liver surface. The local deformations between follow-up CT images are modeled by non-rigid registration, which aligns images using non-rigid transformation, based on locally deformable model. Our method can model the global and local deformation between follow-up liver CT scans by considering the deformation of both the liver surface and vessel. In experimental results using twenty clinical datasets, our method matches the liver effectively between follow-up portal phase CT images, enabling the accurate assessment of the volume change of the liver cancer. The proposed registration method can be applied to the follow-up study of various organ diseases, including cardiovascular diseases and lung cancer.

Use of advanced imaging and biomarker tests for post-treatment surveillance in early-stage breast cancer survivors.

2012 ◽  
Vol 30 (34_suppl) ◽  
pp. 168-168
Author(s):  
Erin E. Hahn ◽  
Kaizeen C. Mody ◽  
Amy Ann Jacobson ◽  
Patricia A. Ganz
Keyword(s):  
Breast Cancer ◽  
Cancer Survivors ◽  
Breast Cancer Survivors ◽  
Early Stage ◽  
Chest Ct ◽  
Post Treatment ◽  
Advanced Imaging ◽  
Abdominal Ct ◽  
Recommended Services

168 Background: The American Society of Clinical Oncology (ASCO) released a “Top Five” list of opportunities to improve the quality of cancer care. #4 focused on post-treatment surveillance in breast cancer patients treated with curative intent. The ASCO guideline on breast cancer follow up advises against using advanced imaging and biomarkers in this setting. We undertook an examination of the patterns of follow-up care for breast cancer survivors treated at an academic medical center to evaluate use of non-recommended services. Methods: Claims data and medical records were reviewed and abstracted for early stage (0-IIIA) breast cancer survivors starting one year post diagnosis, with an average of 5 years of follow-up data. A trained abstractor classified imaging tests as diagnostic/surveillance based on medical record content. A 10% random sample was abstracted by a second abstractor and compared for concordance. Descriptive statistics were generated for patient demographic and medical characteristics, and proportions for receipt of non-recommended services, including if imaging procedures were performed for diagnostic/surveillance purposes. Multivariate logistic regression modeling was used to determine factors associated with receiving non-recommended services. Results: Records were available for 258 patients. The mean age was 62 (SD 13), mean time since diagnosis was 6 years (SD 2), 66% were stage 0/1. 35% received at least one abdominal CT, 31% at least one chest CT, 20% at least one PET, 30% at least one bone scan. Of these services, 90 abdominal CT scans (47%), 131 chest CT scans (65%), 77 PET scans (90%), and 29 bone scans (26%) were classified as surveillance. 80% received CEA and/or CA 27.29 tests; 8% received CA 15-3 tests. Logistic regression revealed no consistent association of medical, demographic, or provider factors with receiving non-recommended services. Conclusions: Use of non-recommended services for surveillance occurs frequently among early stage survivors. Providers in this academic center had no personal financial incentive for ordering these services. There are opportunities to increase use of guideline concordant post-treatment care for breast cancer survivors.

Sign in / Sign up

Export Citation Format

Share Document