scholarly journals Multi-detector CT perfusion as a diagnostic imaging modality to evaluate local therapy of hepatocellular carcinoma

2016 ◽  
Vol 47 (3) ◽  
pp. 687-692 ◽  
Author(s):  
Ashraf M. Enite ◽  
Hazem Rabee
Cancers ◽  
2021 ◽  
Vol 13 (14) ◽  
pp. 3599
Author(s):  
Francesco Gentili ◽  
Ilaria Monteleone ◽  
Francesco Giuseppe Mazzei ◽  
Luca Luzzi ◽  
Davide Del Roscio ◽  
...  

Thymic tumors are rare neoplasms even if they are the most common primary neoplasm of the anterior mediastinum. In the era of advanced imaging modalities, such as functional MRI, dual-energy CT, perfusion CT and radiomics, it is possible to improve characterization of thymic epithelial tumors and other mediastinal tumors, assessment of tumor invasion into adjacent structures and detection of secondary lymph nodes and metastases. This review aims to illustrate the actual state of the art in diagnostic imaging of thymic lesions, describing imaging findings of thymoma and differential diagnosis.


2015 ◽  
Vol 60 (2) ◽  
pp. 769-784 ◽  
Author(s):  
Danielle Rand ◽  
Edward G Walsh ◽  
Zoltan Derdak ◽  
Jack R Wands ◽  
Christoph Rose-Petruck

2019 ◽  
Vol 2019 ◽  
Author(s):  
Adriano De Santis ◽  
Giulia Gallusi

2021 ◽  
Vol 12 ◽  
Author(s):  
Andrew Bivard ◽  
Christopher Levi ◽  
Longting Lin ◽  
Xin Cheng ◽  
Richard Aviv ◽  
...  

In the present study we sought to measure the relative statistical value of various multimodal CT protocols at identifying treatment responsiveness in patients being considered for thrombolysis. We used a prospectively collected cohort of acute ischemic stroke patients being assessed for IV-alteplase, who had CT-perfusion (CTP) and CT-angiography (CTA) before a treatment decision. Linear regression and receiver operator characteristic curve analysis were performed to measure the prognostic value of models incorporating each imaging modality. One thousand five hundred and sixty-two sub-4.5 h ischemic stroke patients were included in this study. A model including clinical variables, alteplase treatment, and NCCT ASPECTS was weak (R2 0.067, P < 0.001, AUC 0.605) at predicting 90 day mRS. A second model, including dynamic CTA variables (collateral grade, occlusion severity) showed better predictive accuracy for patient outcome (R2 0.381, P < 0.001, AUC 0.781). A third model incorporating CTP variables showed very high predictive accuracy (R2 0.488, P < 0.001, AUC 0.899). Combining all three imaging modalities variables also showed good predictive accuracy for outcome but did not improve on the CTP model (R2 0.439, P < 0.001, AUC 0.825). CT perfusion predicts patient outcomes from alteplase therapy more accurately than models incorporating NCCT and/or CT angiography. This data has implications for artificial intelligence or machine learning models.


2016 ◽  
Vol 34 (5) ◽  
pp. 404-408 ◽  
Author(s):  
Aisling Barry ◽  
Jennifer J. Knox ◽  
Alice C. Wei ◽  
Laura A. Dawson

The Oncology Grand Rounds series is designed to place original reports published in the Journal into clinical context. A case presentation is followed by a description of diagnostic and management challenges, a review of the relevant literature, and a summary of the authors’ suggested management approaches. The goal of this series is to help readers better understand how to apply the results of key studies, including those published in Journal of Clinical Oncology, to patients seen in their own clinical practice. A 78-year-old woman with a past medical history of hepatitis C virus (HCV) presented on routine examination to her family doctor with abnormal liver function tests. She was referred for liver ultrasound, which detected a liver mass. Multiphasic magnetic resonance imaging (MRI) diagnosed liver cirrhosis and a segment 7/8 lesion measuring 4 cm, suspicious for a hepatocellular carcinoma (HCC), without evidence of portal hypertension. Child-Pugh (CP) score (ranging from 5 to 15) is a clinically relevant measure of synthetic liver function, based on international normalized ratio and albumin and bilirubin levels, as well as presence or absence of ascites and encephalopathy. A score of A5 or 6 is associated with better postoperative survival compared with CP B7 to 9 or CP C10 to 15, in which surgery is contraindicated. Her CP score was A6, based on a low albumin of 34 g/L. Platelets were slightly depressed at 121,000 μL, and alpha-fetoprotein level was 89 μg/L. She had not received treatment of her HCV because of her age and low viral load. She does not drink alcohol. Clinically the patient had an Eastern Cooperative Oncology Group performance status (PS) of 1, no stigmata of chronic liver disease, and no ascites or encephalopathy or other associated clinical symptoms. An HCC multidisciplinary cancer conference recommended surgical resection. The patient was taken to the operating room for a planned liver nonanatomic wedge resection. At the time of laparotomy, extensive cirrhosis was found and resection was abandoned because of the high risk of liver failure. A biopsy was not obtained, as the tumor had classic arterial enhancement and washout on venous and delayed-phase computed tomography (CT) imaging, which is diagnostic for HCC. After laparotomy, the patient developed liver insufficiency manifested by new ascites and peripheral edema, treated with diuretics, a low-salt diet, and fluid restriction. She was discharged home after a week and referred for a radiation oncology opinion. Three months after laparotomy, her liver function had recovered, with resolution of her ascites and PS of 2. It was decided to proceed with nonsurgical local therapy to the liver mass with curative intent.


Stroke ◽  
2020 ◽  
Vol 51 (Suppl_1) ◽  
Author(s):  
Zhongyu Anna Liu ◽  
Muhammad Mamdani ◽  
Richard Aviv ◽  
Chloe Pou-Prom ◽  
Amy Yu

Introduction: Diagnostic imaging reports contain important data for stroke surveillance and clinical research but converting a large amount of free-text data into structured data with manual chart abstraction is resource-intensive. We determined the accuracy of CHARTextract, a natural language processing (NLP) tool, to extract relevant stroke-related attributes from full reports of computed tomograms (CT), CT angiograms (CTA), and CT perfusion (CTP) performed at a tertiary stroke centre. Methods: We manually extracted data from full reports of 1,320 consecutive CT/CTA/CTP performed between October 2017 and January 2019 in patients presenting with acute stroke. Trained chart abstractors collected data on the presence of anterior proximal occlusion, basilar occlusion, distal intracranial occlusion, established ischemia, haemorrhage, the laterality of these lesions, and ASPECT scores, all of which were used as a reference standard. Reports were then randomly split into a training set (n= 921) and validation set (n= 399). We used CHARTextract to extract the same attributes by creating rule-based information extraction pipelines. The rules were human-defined and created through an iterative process in the training sample and then validated in the validation set. Results: The prevalence of anterior proximal occlusion was 12.3% in the dataset (n=86 left, n=72 right, and n=4 bilateral). In the training sample, CHARTextract identified this attribute with an overall accuracy of 97.3% (PPV 84.1% and NPV 99.4%, sensitivity 95.5% and specificity 97.5%). In the validation set, the overall accuracy was 95.2% (PPV 76.3% and NPV 98.5%, sensitivity 90.0% and specificity 96.0%). Conclusions: We showed that CHARTextract can identify the presence of anterior proximal vessel occlusion with high accuracy, suggesting that NLP can be used to automate the process of data collection for stroke research. We will present the accuracy of CHARTextract for the remaining neurological attributes at ISC 2020.


2017 ◽  
Vol 56 (9) ◽  
pp. D108 ◽  
Author(s):  
Ruchire Eranga Wijesinghe ◽  
Seung-Yeol Lee ◽  
Naresh Kumar Ravichandran ◽  
Sangyeop Han ◽  
Hyosang Jeong ◽  
...  

2016 ◽  
Vol 11 (1) ◽  
pp. 1-14
Author(s):  
Daniel Trabulo ◽  
Pedro Santos ◽  
Afonso Gonçalves ◽  
Isabel Távora

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