Frequency: Quarterly E- ISSN: 2277-8217 P- ISSN: Awaited Abstracted/ Indexed in: Ulrich's International Periodical Directory, Google Scholar, SCIRUS, getCITED, EBSCO Information Services
Quarterly published in print and online "Inventi Impact: Radiology (Formerly Inventi Impact: Imaging)" publishes high quality unpublished as well as high impact pre-published research and reviews catering to the needs of researchers and professionals. This multidisciplinary journal focuses on fundamental and translational research and applications in biomedical imaging aimed at early detection, diagnostics, and therapy of disease as well as in the understanding of life. The scope includes imaging physics, tomographic reconstruction algorithms, image processing, computer-aided diagnosis and quantitative image analysis, image-guided procedures, digital pathology etc.
Many developments were made in the area of endovascular treatment of intracranial aneurysms, but this procedure also requires a good assessment of vascular anatomy prior to intervention. Seventy-six cases with brain aneurysms were selected and 1:1 scale 3D printed models were created. We asked three interventional neurosurgeons with different degrees of experience (ten years, four years, and a fourth-year resident) to review the cases using CTA (computed tomography angiogram) with MPR (multiplanar reconstructions) and VRT (volume rendering technique) and make a decision: coil embolization or stent-assisted coil embolization. After we provided them with the 3D printed models, they were asked to review their treatment plan. Statistical analysis was performed and the endovascular approach changed in 11.84% of cases for ten-year experienced neurosurgeons, 13.15% for four years experienced neurosurgeon, and 21.05% for residents. The interobserver agreement was very good between the ten years experienced interventionist and four years experienced interventionist when they analyzed the data set that included the 3D printed model. The agreement was higher between all physicians after they examined the printed model. 3D patient- specific printed models may be useful in choosing between two different endovascular techniques and also help the residents to better understand the vascular anatomy and the overall procedure....
Background To explore a method for screening and diagnosing neonatal congenital heart disease (CHD) applicable to grassroots level, evaluate the prevalence of CHD, and establish a hierarchical management system for CHD screening and treatment at the grassroots level. Methods A total of 24,253 newborns born in Tang County between January 2016 and December 2020 were consecutively enrolled and screened by trained primary physicians via the “twelve-section ultrasonic screening and diagnosis method” (referred to as the “twelve-section method”). Specialized staff from the CHD Screening and Diagnosis Center of Hebei Children’s Hospital regularly visited the local area for definite diagnosis of CHD in newborns who screened positive. Newborns with CHD were managed according to the hierarchical management system. Results The centre confirmed that, except for 2 newborns with patent ductus arteriosus missed in the diagnosis of ventricular septal defect combined with severe pulmonary hypertension, newborns with other isolated or concomitant simple CHDs were identified at the grassroots level. The sensitivity, specificity and diagnostic coincidence rate of the twelve-section method for screening complex CHD were 92%, 99.6% and 84%, respectively. A total of 301 children with CHD were identified. The overall CHD prevalence was 12.4‰. According to the hierarchical management system, 113 patients with simple CHD recovered spontaneously during local follow-up, 48 patients continued local follow-up, 106 patients were referred to the centre for surgery (including 17 patients with severe CHD and 89 patients with progressive CHD), 1 patient died without surgery, and 8 patients were lost to follow-up. Eighteen patients with complex CHD were directly referred to the centre for surgery, 3 patients died without surgery, and 4 patients were lost to follow-up. Most patients who received early intervention achieved satisfactory results. The mortality rate of CHD was approximately 28.86 per 100,000 children. Conclusions The “twelve-section method” is suitable for screening neonatal CHD at the grassroots level. The establishment of a hierarchical management system for CHD screening and treatment is conducive to the scientific management of CHD, which has important clinical and social significance for early detection, early intervention, reduction in mortality and improvement of the prognosis of complex and severe CHDs....
Background: Diffusion-weighted imaging (DWI) and ultrasound are commonly used methods to examine thyroid\nnodules, but their comparative value is rarely studied. We evaluated the utility of DWI and ultrasound in\ndifferentiating benign and malignant thyroid nodules.\nMethods: A total of 100 patients with 137 nodules who underwent both DWI and ultrasound before operation\nwere enrolled. The T1 and T2 signal intensity ratio (SIR) of each thyroid nodule was calculated by measuring the\nmean signal intensity divided by that of paraspinal muscle. The apparent diffusion coefficient (ADC) value and the\nSIR of benign and malignant thyroid nodules were analyzed by two-sample independent t tests. The sensitivity,\nspecificity, and accuracy of DWI and ultrasound were compared with chi-square tests.\nResults: There was no significant difference in the SIR between benign and malignant thyroid nodules. The ADC\nvalue was significantly different. ...............................
Background: The objective of this study was to evaluate the feasibility and diagnostic value of 18F-fluorodeoxyglucose\npositron emission tomography/computed tomography (18F-FDG PET/CT) and 99mTc-methylenediphosphonate (MDP)\nwhole-body bone scanning (BS) for the detection of osteolytic bone metastases.\nMethods: Thirty-four patients with pathologically confirmed malignancies and suspected osteolytic bone metastases\nunderwent 18F-FDG PET/CT and 99mTc-MDP whole-body BS within 30 days. The sensitivity, specificity, and accuracy with\nrespect to the diagnosis of osteolytic bone metastases and bone lesions were compared between the two imaging\nmethods.\nResults: The sensitivity, specificity, and accuracy of 18F-FDG PET/CT for the diagnosis of osteolytic bone metastases\nwere 94.3% (95% confidence interval [CI], 91.6ââ?¬â??96.2%), 83.3% (95% CI, 43.6ââ?¬â??96.9%), and 94.2% (95% CI, 91.5ââ?¬â??96.1%),\nrespectively. It was found that 99mTc-MDP whole-body BS could discriminate between patients with 50.2% (95% CI,\n45.4ââ?¬â??55.1%) sensitivity, 50.0% (95% CI, 18.8ââ?¬â??81.2%) specificity, and 50.2% (95% CI, 45.5ââ?¬â??55.1%) accuracy. 18F-FDG PET/CT\nachieved higher sensitivity, specificity, and accuracy in detecting osteolytic bone metastases than 99mTc-MDP wholebody\nBS (p<0.001).\nConclusions: F-FDG PET/CT has a higher diagnostic value than 99mTc-MDP whole-body BS in the detection of osteolytic\nbone metastases, especially in the vertebra....
Tongue image with coating is of important clinical diagnostic meaning, but traditional tongue image extraction method is not\ncompetent for extraction of tongue imagewith thick coating. In this paper, a novel method is suggested,which appliesmultiobjective\ngreedy rules and makes fusion of color and space information in order to extract tongue image accurately. A comparative\nstudy of several contemporary tongue image extraction methods is also made from the aspects of accuracy and efficiency. As\nthe experimental results show, geodesic active contour is quite slow and not accurate, the other 3 methods achieve fairly good\nsegmentation results except in the case of the tongue with thick coating, our method achieves ideal segmentation results whatever\ntypes of tongue images are, and efficiency of our method is acceptable for the application of quantitative check of tongue image....
The main objective of this review was to present a synthesis of the current literature in order to provide a useful tool to clinician\nin radiologic analysis of the meniscus. All anatomical descriptions were clearly illustrated by MRI, arthroscopy, and/or drawings.\nThe value of standard radiography is extremely limited for the assessment of meniscal injuries but may be indicated to obtain a\ndifferential diagnosis such as osteoarthritis. Ultrasound is rarely used as a diagnostic tool for meniscal pathologies and its accuracy\nis operator-dependent. CT arthrography with multiplanar reconstructions can detect meniscus tears that are not visible on MRI.\nThis technique is also useful in case of MRI contraindications, in postoperative assessment of meniscal sutures and the condition of\ncartilage covering the articular surfaces. MRI is the most accurate and less invasive method for diagnosing meniscal lesions. MRI\nallows confirming and characterizing the meniscal lesion, the type, the extension, its association with a cyst, the meniscal extrusion,\nand assessing cartilage and subchondral bone. New 3D-MRI in three dimensions with isotropic resolution allows the creation of\nmultiplanar reformatted images to obtain from an acquisition in one sectional plane reconstructions in other spatial planes. 3D\nMRI should further improve the diagnosis of meniscal tears....
Background A quantitative assessment of pulmonary edema is important because the clinical severity can range from mild impairment to life threatening. A quantitative surrogate measure, although invasive, for pulmonary edema is the extravascular lung water index (EVLWI) extracted from the transpulmonary thermodilution (TPTD). Severity of edema from chest X-rays, to date is based on the subjective classification of radiologists. In this work, we use machine learning to quantitatively predict the severity of pulmonary edema from chest radiography. Methods We retrospectively included 471 X-rays from 431 patients who underwent chest radiography and TPTD measurement within 24 h at our intensive care unit. The EVLWI extracted from the TPTD was used as a quantitative measure for pulmonary edema. We used a deep learning approach and binned the data into two, three, four and five classes increasing the resolution of the EVLWI prediction from the X-rays. Results The accuracy, area under the receiver operating characteristic curve (AUROC) and Mathews correlation coefficient (MCC) in the binary classification models (EVLWI < 15, ≥ 15) were 0.93 (accuracy), 0.98 (AUROC) and 0.86(MCC). In the three multiclass models, the accuracy ranged between 0.90 and 0.95, the AUROC between 0.97 and 0.99 and the MCC between 0.86 and 0.92. Conclusion Deep learning can quantify pulmonary edema as measured by EVLWI with high accuracy....
A novel quantitative fluorescence molecular tomography (FMT) imager for both macro and meso-scale animal\r\nexperiments is developed. The image reconstruction algorithms are implemented in the framework of finite element\r\nmethod, while the experimental system is constructed using a non-contact, multi-angle full 360 degree transmission\r\nscheme. Shape-from-silhouette based volume carving approach is used to render the 3D models of the actual\r\nsamples. With a free-space light propagation model, the readout from the CCD is converted into the photon density\r\nnormal to sample surface in order to match the model-based tomographic reconstruction. For meso-scale subjects, a\r\nradiative transfer equation (RTE) based FMT reconstruction algorithm is adopted. For macro-scale subjects, a diffusion\r\napproximation (DA) based FMT reconstruction algorithm is adopted. Imaging results for both macro-scale and mesoscale\r\nsubjects are presented to valid system performance....
Background: Intraoperative coronary angiography can tremendously reduce early coronary bypass graft failures. Fluorescent cardiac imaging provides an advanced method for intraoperative observation and real-time quantitation of blood flow with high resolution. Methods: We devised a system comprised of an LED light source, special filters, lenses and a detector for preclinical coronary artery angiography. The optical setup was implemented by using two achromatic doublet lenses, two positive meniscus lenses, a band-pass filter, a pinhole and a CCD sensor. The setup was optimized by Zemax software. Optical design was further challenged to obtain more parallel light beams, less diffusion and higher resolutions to levels as small as arterioles. Ex vivo rat hearts were prepared and coronary arteries were retrogradely perfused by indocyanine green (ICG). Video angiography was employed to assess blood flow and plot time-dependent fluorescence intensity curve (TIC). Quantitation of blood flow was performed by calculating either the gradient of TIC or area under curve. The correlation between blood flow and each calculated parameters was assessed and used to evaluate the quality of flow. Results: High-resolution images of flow in coronary arteries were obtained as precise as 62 μm vessel diameter, by our custom-made ICG angiography system. The gradient of TIC was 3.4–6.3 s−1, while the area under curve indicated 712–1282 s values which ultimately gained correlation coefficients of 0.9938 and 0.9951 with relative blood flow, respectively. Conclusion: The present ICG angiography system may facilitate evaluation of blood flow in animal studies of myocardial infarction and coronary artery grafts intraoperatively....
Objective There are no specific magnetic resonance imaging (MRI) features that distinguish pilocytic astrocytoma (PA) from adamantinomatous craniopharyngioma (ACP). In this study we compared the frequency of a novel enhancement characteristic on MRI (called the cut green pepper sign) in PA and ACP. Methods Consecutive patients with PA (n = 24) and ACP (n = 36) in the suprasellar region were included in the analysis. The cut green pepper sign was evaluated on post-contrast T1WI images independently by 2 neuroradiologists who were unaware of the pathologic diagnosis. The frequency of cut green pepper sign in PA and ACP was compared with Fisher’s exact test. Results The cut green pepper sign was identified in 50% (12/24) of patients with PA, and 5.6% (2/36) with ACP. The sensitivity, specificity, positive predictive value (PPV), and negative predictive value (NPV) of the cut green pepper sign for diagnosing PA were 50%, 94.4%, 85.7% and 73.9%, respectively. There was a statistically significant difference in the age of patients with PA with and without the cut green pepper sign (12.3 ± 9.2 years vs. 5.5 ± 4.4 years, p = 0.035). Conclusion The novel cut green pepper sign can help distinguish suprasellar PA from ACP on MRI....
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