scholarly journals Deep Learning for Detection of Colonic Polyps from Computed Tomography Colonoscopy Images Combined with Colonoscopy

2021 ◽  
Vol 2021 ◽  
pp. 1-7
Author(s):  
Xiangyan Guo ◽  
Hui Gao ◽  
Xiaofang Sun ◽  
Surong Li
Keyword(s):  
Computed Tomography ◽  
Colonic Polyps ◽  
Tumor Stage ◽  
Ct Imaging ◽  
Serosal Invasion ◽  
Diagnostic Efficacy ◽  
Detection Rates ◽  
Slice Theorem ◽  
Before And After ◽  
Central Slice

The objective of this study was to investigate the diagnosis of colonic polyps (CP) through the computed tomography (CT) images combined with colonoscopy based on Fourier central slice theorem algorithm. In this study, 86 patients with CP admitted to hospital were selected as research objects. CT imaging and colonoscopy were applied to diagnose the patients based on the algorithm of Fourier central slice theorem. The results showed that the diagnostic detection rates of CP and colon cancer (CC) were 88.2% and 94.2%, respectively. The occurrence site of CP was the sigmoid and ascending colon. 38 patients were positive for serosal invasion of CP while 42 patients were negative for serosal invasion of CP, and there were no statistical differences ( P > 0.05 ). The lesion positions of remaining 6 cases were hard to find and could not be detected accurately. Besides, the diagnostic accuracy of preoperative and postoperative stages III and IV was all 100.00%. The combination of CT imaging and colonoscopy was employed to diagnose CP, which was found to be able to accurately locate the lesions, to effectively evaluate the tumor stage before and after surgery, and to have a good diagnostic efficacy in detecting tumor serosal layer.

scholarly journals An Experimental Study on [125I]I-pHLIP (Var7) for SPECT/CT Imaging of an MDA-MB-231 Triple-Negative Breast Cancer Mouse Model by Targeting the Tumor Microenvironment

2021 ◽  
Vol 2021 ◽  
pp. 1-9
Author(s):  
Mingming Yu ◽  
Yanqin Sun ◽  
Guangjie Yang ◽  
Zhenguang Wang
Keyword(s):  
Breast Cancer ◽  
Computed Tomography ◽  
Triple Negative Breast Cancer ◽  
Triple Negative ◽  
Single Photon ◽  
Photon Emission ◽  
Small Animal ◽  
Ct Imaging ◽  
Emission Computed Tomography ◽  
Diagnostic Efficacy

Objective. To evaluate the diagnostic efficacy of MDA-MB-231 triple-negative breast cancer with 125I-labeled pHLIP (Var7) by single-photon emission computed tomography/computed tomography (SPECT/CT) imaging. Methods. The binding fraction of [125I]I-pHLIP (Var7) and MDA-MB-231 cells was measured at pH 7.4 and pH 6.0, and tumor-bearing mice were subjected to small-animal SPECT/CT imaging studies. Results. At pH = 6.0 , the binding fractions of [125I]I-pHLIP (Var7) and MDA-MB-231 cells at 10 min, 40 min, 1 h, and 2 h were 1 .9 ± 0.1 %, 3.5 ± 0.1 %, 6.3 ± 0.8 %, and 6.6 ± 0.3 %, respectively. At pH = 7.4 , there was no measured binding between [125I]I-pHLIP (Var7) and MDA-MB-231 cells. Small-animal SPECT/CT imaging showed clearly visible tumors at 1 and 2 h after injection. Conclusions. [125I]I-pHLIP (Var7) could bind to MDA-MB-231 cells in an acidic environment, and small-animal SPECT/CT imaging showed clear tumors at 1 and 2 h after probe injection.

scholarly journals Computed Tomography Image Characteristics before and after Interventional Treatment of Children’s Lymphangioma under Artificial Intelligence Algorithm

2021 ◽  
Vol 2021 ◽  
pp. 1-8
Author(s):  
Chuangao Yin ◽  
Song Wang ◽  
Deng Pan
Keyword(s):  
Artificial Intelligence ◽  
Computed Tomography ◽  
Effective Treatment ◽  
Interventional Therapy ◽  
Ct Images ◽  
Ct Imaging ◽  
Interventional Treatment ◽  
Intelligence Algorithm ◽  
Before And After ◽  
Artificial Intelligence Algorithm

The artificial intelligence algorithm was used to analyze the characteristics of computed tomography (CT) images before and after interventional treatment of children’s lymphangioma. Retrospective analysis was performed, and 30 children with lymphangioma from the hospital were recruited as the study subjects. The ultrasound-guided bleomycin interventional therapy was adopted and applied to CT scanning through convolutional neural network (CNN). The CT imaging-related indicators before and after interventional therapy were detected, and feature analysis was performed. In addition, the CNN algorithm was adopted to segment the image of the tumor was clearer and more accurate. At the same time, the Dice similarity coefficient (DSC) of the CNN algorithm was 0.9, which had a higher degree of agreement. In terms of clinical symptoms, the cured children’s lesions disappeared, the skin surface returned to normal color, and the treatment was smooth. In the two cases with effective treatment, the cystic mass at the lesion site was significantly smaller, and the nodules disappeared. CT images before interventional therapy showed that lymphangiomas in children were more common in the neck. The cystic masses at all lesion sites varied in diameter and size, and most of them were similar to round and irregular, with uniform density distribution. The boundary was clear, the cyst was solid, and there were different degrees of compression and spread to the surrounding structure. Most of them were polycystic, and a few of them were single cystic. After interventional treatment, CT images showed that 27 cases of cured children’s lymphangioma completely disappeared. Lymphangioma was significantly reduced in two children with effective treatment. Edema around the tumor also decreased significantly. Patients who did not respond to the treatment received interventional treatment again, and the tumors disappeared completely on CT imaging. No recurrence or new occurrence was found in three-month follow-up. The total effective rate of interventional therapy for lymphangioma in children was 96.67%. The CNN algorithm can effectively compare the CT image features before and after interventional treatment for children’s lymphangioma. It was suggested that the artificial intelligence algorithm-aided CT imaging examination was helpful to guide physicians in the accurate treatment of children’s lymphangioma.

Mid-aortic syndrome: computed tomography angiography depicting extensive collateral circulation in an 11-year-old patient with thoracoabdominal aortic coarctation

VASA ◽  
2012 ◽  
Vol 41 (2) ◽  
pp. 132-135 ◽  
Author(s):  
Krohn ◽  
Gebauer ◽  
Hübler ◽  
Beck
Keyword(s):  
Computed Tomography ◽  
Computed Tomography Angiography ◽  
Collateral Circulation ◽  
Intestinal Ischemia ◽  
Clinical Presentation ◽  
Lower Limbs ◽  
Upper Body ◽  
Descending Aorta ◽  
Before And After ◽  
Blood Pressures

The mid-aortic syndrome is an uncommon clinical condition characterized by severe narrowing of the descending aorta, usually with involvement of its renal and visceral branches, presenting with uncontrollably elevated blood pressures of the upper body, renal and cardiac failure, intestinal ischemia, encephalopathy symptoms and claudication of the lower limbs, although clinical presentation is variable. In this article we report the case of an eleven-year-old patient with the initial diagnosis of a mid-aortic syndrome and present the computed tomography angiography pictures and reconstructions before and after surgical therapy.

Nonionic Low-Osmolar Monomeric Iodinated Contrast Material: Some Aspects of use for Computed Tomography in Children

2017 ◽  
pp. 118-129
Author(s):  
I. A. Kondrashov ◽  
V. Mandal
Keyword(s):  
Computed Tomography ◽  
Contrast Agents ◽  
Adverse Reactions ◽  
Contrast Material ◽  
Iodine Content ◽  
Diagnostic Procedures ◽  
Diagnostic Efficacy ◽  
Minimum Risk ◽  
Electrical Neutrality ◽  
Iodinated Contrast

Iodine containing contrast media are used much frequently now-a-days for computed tomography examinations in children. The group of non-ionic monomers occupies a special place among modern contrast agents. Low osmolarity and viscosity, electrical neutrality and the highest iodine content of these contrast materials provide the best diagnostic efficacy with minimum risk of adverse reactions. However, characteristic anatomic and physiological aspects of a growing child’s body require additional attention and care during diagnostic procedures with use of such contrast agents. This article presents concise literature review of recent years highlighting practical aspects of nonionic lowosmolar iodinated contrast material use for computed tomography assisted diagnostic examinations in child population.

scholarly journals Clinical significance of circulating tumor cell related markers in patients with epithelial ovarian cancer before and after adjuvant chemotherapy

2021 ◽  
Vol 11 (1) ◽  
Author(s):  
Meysam Yousefi ◽  
Sara Rajaie ◽  
Vahideh Keyvani ◽  
Somayeh Bolandi ◽  
Malihe Hasanzadeh ◽  
...  
Keyword(s):  
Ovarian Cancer ◽  
Adjuvant Chemotherapy ◽  
Epithelial Ovarian Cancer ◽  
Clinical Significance ◽  
Therapy Response ◽  
Serum Levels ◽  
Circulating Tumor Cell ◽  
Tumor Stage ◽  
Disease Stage ◽  
Before And After

AbstractCirculating tumor cells (CTCs) have recently been considered as new prognostic and diagnostic markers for various human cancers; however, their significance in epithelial ovarian cancer (EOC) remains to be elucidated. In this study, using quantitative real-time PCR, we evaluated the expression of EPCAM, MUC1, CEA, HE4 and CA125 mRNAs, as putative markers of CTCs, in the blood of 51 EOC patients before and/or after adjuvant chemotherapy. Our results demonstrated that, before chemotherapy, the expression of EPCAM, MUC1, CEA and HE4 mRNAs were correlated to each other. CEA expression was correlated with tumor stage (r = 0.594, p = 0.000) before chemotherapy, whereas its expression after chemotherapy was correlated with serum levels of CA125 antigen (r = 0.658, p = 0.000). HE4 mRNA showed the highest sensitivity both before and after chemotherapy (82.98% and 85.19%, respectively) and the persistence of this marker after chemotherapy was associated with advanced disease stage. The expression of CA125 mRNA had negative correlation with the other markers and with tumor stage and therapy response (evaluated by the measurement of serum CA125 antigen). Collectively, our results indicated a better clinical significance of tumor-specific markers (CEA and HE4 mRNAs) compared to epithelial-specific markers (EPCAM and MUC1 mRNAs).

Position of the mandibular canal before and after bilateral sagittal split ramus osteotomy: a cone beam computed tomography study

2021 ◽  
Author(s):  
Fernanda Chiguti Yamashita ◽  
Lilian Cristina Vessoni Iwaki ◽  
Amanda Lury Yamashita ◽  
Elen de Souza Tolentino ◽  
Vinicius Eduardo de Oliveira Verginio ◽  
...  
Keyword(s):  
Computed Tomography ◽  
Cone Beam Computed Tomography ◽  
Mandibular Canal ◽  
Cone Beam ◽  
Sagittal Split Ramus Osteotomy ◽  
Before And After

Prostate volume measurement by transrectal ultrasound and computed tomography before and after permanent prostate brachytherapy

2004 ◽  
Vol 60 (3) ◽  
pp. 767-776 ◽  
Author(s):  
Matthew C. Solhjem ◽  
Brian J. Davis ◽  
Thomas M. Pisansky ◽  
Torrence M. Wilson ◽  
Lance A. Mynderse ◽  
...  
Keyword(s):  
Computed Tomography ◽  
Prostate Volume ◽  
Transrectal Ultrasound ◽  
Volume Measurement ◽  
Prostate Brachytherapy ◽  
Before And After
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