scholarly journals Quantitative Imaging Parameters in the Diagnosis of Endometriomas

2021 ◽  
Author(s):  
Paul-Andrei Ștefan ◽  
Roxana-Adelina Lupean ◽  
Dietmar Tamandl
Keyword(s):  
Subjective Evaluation ◽  
Quantitative Imaging ◽  
Definite Diagnosis ◽  
Pixel Intensity ◽  
Non Invasive ◽  
Naked Eye ◽  
Pathological Analysis ◽  
Biochemical Components ◽  
Medical Examinations ◽  
Aided Diagnosis

The classic imaging diagnosis of endometriomas encounters multiple limitations, including the subjective evaluation of medical examinations and a similar imaging appearance with other adnexal lesions, especially the functional hemorrhagic cysts. For this reason, a definite diagnosis of endometriomas can be made only by pathological analysis, which reveals particular features in terms of cellularity and biochemical components of their fluid content. It is theorized that these histopathological features can also be reflected in medical images, altering the pixel intensity and distribution, but these changes are too subtle to be assessed by the naked eye. New quantitative imaging evaluations and emerging computer-aided diagnosis techniques can provide a detailed description of image contents that can be furtherly processed by algorithms, aiming to provide a more accurate and non-invasive diagnosis for this disease.

scholarly journals Machine Learning and Radiomics Applications in Esophageal Cancers Using Non-Invasive Imaging Methods—A Critical Review of Literature

Cancers ◽  
2021 ◽  
Vol 13 (10) ◽  
pp. 2469
Author(s):  
Chen-Yi Xie ◽  
Chun-Lap Pang ◽  
Benjamin Chan ◽  
Emily Yuen-Yuen Wong ◽  
Qi Dou ◽  
...  
Keyword(s):  
Machine Learning ◽  
Quantitative Imaging ◽  
Risk Groups ◽  
Review Of Literature ◽  
Primary Tumors ◽  
Non Invasive ◽  
Significant Difference ◽  
Recent Developments ◽  
Health Significance ◽  
Imaging Markers

Esophageal cancer (EC) is of public health significance as one of the leading causes of cancer death worldwide. Accurate staging, treatment planning and prognostication in EC patients are of vital importance. Recent advances in machine learning (ML) techniques demonstrate their potential to provide novel quantitative imaging markers in medical imaging. Radiomics approaches that could quantify medical images into high-dimensional data have been shown to improve the imaging-based classification system in characterizing the heterogeneity of primary tumors and lymph nodes in EC patients. In this review, we aim to provide a comprehensive summary of the evidence of the most recent developments in ML application in imaging pertinent to EC patient care. According to the published results, ML models evaluating treatment response and lymph node metastasis achieve reliable predictions, ranging from acceptable to outstanding in their validation groups. Patients stratified by ML models in different risk groups have a significant or borderline significant difference in survival outcomes. Prospective large multi-center studies are suggested to improve the generalizability of ML techniques with standardized imaging protocols and harmonization between different centers.

scholarly journals Diagnosis of Cardiac Amyloidosis Using Non-Invasive Technics

2021 ◽  
Author(s):  
Eva Strickler ◽  
Ernest Tsiaze ◽  
Gerrit Hellige ◽  
Dominik Zumstein ◽  
Dominik Waldmeier ◽  
...  
Keyword(s):  
Cardiac Amyloidosis ◽  
Al Amyloidosis ◽  
Definite Diagnosis ◽  
Diagnostic Features ◽  
Transthyretin Amyloidosis ◽  
Cardiac Amyloid ◽  
Non Invasive ◽  
Amyloid Accumulation ◽  
Clinically Significant ◽  
Multiorgan Disease

Amyloidosis is a rare multiorgan disease defined by a process of irreversible, extracellular accumulation of fibrillar proteins in the tissues, including the heart. Cardiac involvement is seen in most forms of amyloidosis, but it is frequently present and clinically significant in light chain (AL)-amyloidosis as well as transthyretin amyloidosis (ATTR). Cardiac amyloid accumulation leads to a restrictive filling pattern, which must be differentiated from other forms of restrictive and hypertrophic cardiomyopathies due to consequences for the treatment. Evolving knowledge of the disease has led to a definite diagnosis of the cardiac amyloidosis (CA) using non-invasive and low-risk diagnostic features, such as scintigraphy (gamma scan) and cardiovascular magnetic resonance (CMR) imaging using late gadolinium enhancement (LGE) and T1 mapping technics. The availability and diagnostic accuracy of these technics has reduced the need for cardiac biopsy. In the following chapter, we will describe common types of CA, the basic concepts, and updates of non-invasive diagnostic features.

Development of Ultrasound Imaging CAD Tool for Assessment of Pathologies in Supraspinatus Tendon

2017 ◽  
pp. 614-654
Author(s):  
Rishu Gupta ◽  
Irraivan Elamvazuthi ◽  
John George
Keyword(s):  
Supraspinatus Tendon ◽  
Ultrasound Images ◽  
Medical Work ◽  
Non Invasive ◽  
Computer Aided ◽  
Cad Tool ◽  
Intuitive User Interface ◽  
Aided Diagnosis ◽  
Shape And Size

Non-invasive diagnostic imaging methods for diagnosis of pathological conditions is increasingly gaining popularity resulting from speedy and effective recovery during follow up in several clinical trials. The accuracy of the diagnosis depends on the experience and knowledge of physicians conducting the trial. In such scenario, the need for quantitative measures for details such as shape and size of tissue can assist physicians for better intuitive understanding of tissue and its pathologies. Computer aided diagnosis (CAD) tool incorporating methods for segmentation, texture analysis and area computation can increase the accuracy of diagnosis by providing quantitative analysis of the image. This chapter briefly describes issues and challenges for building the CAD tool followed by brief description about the methods involved. The methods are validation are also discussed briefly. To summarize the work, brief discussion about a new software or CAD tool for diagnosis of pathologies supraspinatus tendon with the help of ultrasound images is provided. The new software has an intuitive user interface which is easy, quick and suitable for medical work.

scholarly journals ACL Graft Signal Characteristics Measured by Quantitative MRI Are Significantly Correlated with Patient Reported Outcomes Two-Years after Hamstring Autograft ACL Reconstruction

2019 ◽  
Vol 7 (7_suppl5) ◽  
pp. 2325967119S0035
Author(s):  
Drew A. Lansdown ◽  
Weiyuan Xiao ◽  
Alan L. Zhang ◽  
Christina R. Allen ◽  
Brian T. Feeley ◽  
...  
Keyword(s):  
Acl Reconstruction ◽  
Quantitative Imaging ◽  
Relaxation Times ◽  
Tendon Graft ◽  
Hamstring Autograft ◽  
Acl Graft ◽  
Non Invasive ◽  
Patient Reported ◽  
Proteoglycan Content ◽  
Over Time

Objectives: Following surgical reconstruction of the anterior cruciate ligament (ACL), the tendon graft undergoes a remodeling process of ligamentization. Collagen within the ACL graft becomes organized along the long-axis of the ligament and the proteoglycan content increases. Quantitative imaging sequences, specifically T2 and T1rho, allow for a non-invasive assessment of collagen orientation and proteoglycan content, respectively. The purpose of this study was to investigate the longitudinal progression of T2 and T1rho relaxation times of the graft after ACL reconstruction and the relationship between these quantitative imaging markers and patient-reported outcome measures. We hypothesized that T2 and T1rho would decrease significantly over time, reflecting improved collagen organization and ncreased proteoglycan content, and that T2 and T1rho relaxation times would be inversely correlated with Knee Osteoarthritis Outcome Scores (KOOS). Methods: Thirty-two patients (mean age 29.4±8.2 years, 12 females) were followed prospectively after arthroscopic ACL reconstruction with hamstring autograft. Patients provided informed consent and all procedures were IRB-approved. Exclusion criteria included allograft reconstruction, other ligamentous injury, meniscal tear requiring repair, prior knee surgery, or history of arthritis. Post-operative MR imaging was obtained for 31 patients at 6 months, 30 patients at 12 months, 26 patients at 24 months, and 23 patients at 36 months after surgery. T2 and T1rho relaxation times were simultaneously acquired with a combined 3D sagittal sequence using a 3 T MR system (GE Healthcare) with a 1Tx/8Rx knee coil. The intra-articular ACL graft was identified on a fat-suppressed sagittal high-resolution 3D fast spin echo images and manually segmented. The T2 and T1rho relaxation times for the graft were recorded. Patients completed the KOOS at each imaging time point. Repeated measures analysis of variance (ANOVA) tests with Tukey corrections were used to compare T2 and T1rho relaxation times between time points. The relationship between KOOS and T2 and T1rho values at 2 years post-operative was investigated with Spearman’s rank correlation. Significance was defined as p<0.05. Results: The T2 relaxation times of the ACL graft were significantly higher at 6 months relative to 12 months (p<0.001), 24 months (p<0.001,) and 36 months (p<0.001) after ACL reconstruction, as well as significantly higher at 12 months relative to 36 months (p<0.001) (Figure 1A). The T1rho relaxation times of the ACL graft were significantly higher at 6 months relative to 12 months (p<0.001), 24 months (p<0.001), and 36 months (p<0.001) (Figure 1B). The two-year T2 relaxation times and T1rho relaxation times were significantly correlated with the KOOS Sports, Pain, Symptoms, and Activities of Daily Living sub-scores. Conclusion: We observed significant changes in the tendon graft over time following ACL reconstruction with hamstring autograft, reflecting a higher concentration of proteoglycan and more longitudinally-organized collagen structure over time. Improved collagen organization (lower T2 values) and increased proteoglycan content (lower T1rho values) were correlated with better outcomes based on KOOS scores. Quantitative T2 and T1rho relaxation times of ACL graft may offer a non-invasive method for monitoring graft maturation that correlates with patient-reported knee function after ACL reconstruction. [Figure: see text][Table: see text]

scholarly journals Brightly Colored to Stay in the Dark. Revealing of the Polychromy of the Lot Sarcophagus in the Catacomb of San Sebastiano in Rome

Heritage ◽  
2020 ◽  
Vol 3 (3) ◽  
pp. 858-874
Author(s):  
Susanna Bracci ◽  
Donata Magrini ◽  
Rachele Manganelli del Fà ◽  
Oana Adriana Cuzman ◽  
Barbara Mazzei
Keyword(s):  
Late Antiquity ◽  
3D Model ◽  
Non Invasive ◽  
Naked Eye ◽  
Executive Process ◽  
Different Types ◽  
Yellow Ochre ◽  
Invasive Techniques

The Lot Sarcophagus is one of the most relevant funerary sculptures of late antiquity (mid-4th century AC). Some of the remarkable aspects are the following (i) it is still preserved in situ; (ii) most of the carved scenes are rarities or unicum; (iii) not all the sculpture work has been completed, which allows us to analyse the executive process; (iv) many traces of polychromy have remained. This paper is focused on the characterization of the residual polychromy by using in-situ non-invasive techniques. Furthermore, few micro samples were taken, to be analysed in laboratory to study the composition of some deposits and to define if a preparatory layer was present under the coloured layer. The data showed that the very rich polychromy of the Lot Sarcophagus was made of Egyptian blue, yellow ochre, and three different types of red: two inorganics (red ochre and cinnabar), and one organic-based (madder lake). Furthermore, some decorations, completely vanished and no longer visible to the naked eye, have been rediscovered, also providing details on the construction phases. During the project, the 3D model of the sarcophagus was acquired, which afterwards was used to map the results of the diagnostic campaign.

scholarly journals Can Autism Be Diagnosed with Artificial Intelligence? A Narrative Review

Diagnostics ◽  
2021 ◽  
Vol 11 (11) ◽  
pp. 2032
Author(s):  
Ahmad Chaddad ◽  
Jiali Li ◽  
Qizong Lu ◽  
Yujie Li ◽  
Idowu Paul Okuwobi ◽  
...  
Keyword(s):  
Artificial Intelligence ◽  
Deep Learning ◽  
Texture Analysis ◽  
Molecular Data ◽  
Autism Spectrum ◽  
Invasive Technique ◽  
Non Invasive ◽  
Learning Techniques ◽  
Healthy Control ◽  
Aided Diagnosis

Radiomics with deep learning models have become popular in computer-aided diagnosis and have outperformed human experts on many clinical tasks. Specifically, radiomic models based on artificial intelligence (AI) are using medical data (i.e., images, molecular data, clinical variables, etc.) for predicting clinical tasks such as autism spectrum disorder (ASD). In this review, we summarized and discussed the radiomic techniques used for ASD analysis. Currently, the limited radiomic work of ASD is related to the variation of morphological features of brain thickness that is different from texture analysis. These techniques are based on imaging shape features that can be used with predictive models for predicting ASD. This review explores the progress of ASD-based radiomics with a brief description of ASD and the current non-invasive technique used to classify between ASD and healthy control (HC) subjects. With AI, new radiomic models using the deep learning techniques will be also described. To consider the texture analysis with deep CNNs, more investigations are suggested to be integrated with additional validation steps on various MRI sites.

scholarly journals The study of systemic hemodynamics by the method of volumetric compression oscillometry in young people

2021 ◽  
Vol 10 (2) ◽  
pp. 10-14
Author(s):  
R. V. Gorenkov ◽  
O. Yu. Alexandrova ◽  
M. A. Yakushin ◽  
T. P. Vasilyeva ◽  
T. O. Mirzokhonov ◽  
...  
Keyword(s):  
Young People ◽  
Systemic Hemodynamics ◽  
Non Invasive ◽  
Hardware Complex ◽  
Healthy Young People ◽  
Hemodynamic Profile ◽  
Software And Hardware ◽  
Potential Impact ◽  
Automated Software ◽  
Medical Examinations

Aim. To investigate the state of systemic hemodynamics (SHD) in young people to assess the potential impact of its disorders in the formation of arterial hypertension (AH) and to carry out preventive measures.Methods. A random sample of 91 young people from 17 to 25 years old was examined; 27 of them were men (average age 23.7±1.6 years) and 64 women (average age 20.4±1.1 years). The study involved clinical residents and students who, according to preliminary and periodic medical examinations, excluded the presence of cardiovascular diseases. The indicators of SHD were investigated by the method of volumetric compression oscillometry using a portable automated software and hardware complex for non-invasive research of central hemodynamics (Device “CAP TsG osm-“Globus”).Results. AH was detected in 4.4%; “white coat” AH in 8.79%; arterial hypotension – in 5.49%. In individuals with normal blood pressure (BP) (75 people), an increase in specific peripheral vascular resistance was most often revealed in 30.6%. An unchanged hemodynamic profile in the group with a normal BP level was recorded only in 28.0% of the examinees.Conclusion. The obtained results indicate that even among “healthy” young people aged 18- 25 years with a normal BP level, the proportion of people with impaired SHD values is 72%. People with hypertension and with altered SHD indicators should be included in the regular medical check-up observation group. 

Modern Approaches for the Objective Assessment of Minimal Erythema Dose

2021 ◽  
Vol 91 (3) ◽  
pp. 82-101
Author(s):  
M. B. Makmatov-Rys ◽  
D. A. Rogatkin ◽  
M. A. Gureeva ◽  
I. Santa ◽  
B. Farkas ◽  
...  
Keyword(s):  
Objective Assessment ◽  
Uv Exposure ◽  
Skin Damage ◽  
Minimal Erythema Dose ◽  
Traditional Assessment ◽  
Non Invasive ◽  
Naked Eye ◽  
Recording Process ◽  
Starting Dose

At present, the assessment of the degree of ultraviolet (UV) exposure is based on the calculation of the minimal erythema dose (MED). The concept of MED is inextricably linked to the process of acute UV skin damage, which is accompanied by damage to the structures of the epidermis and dermis, dermal vasodilation, and it manifests clinically in erythema formation. The knowing of the MED value is necessary to choose the starting dose for UV-phototherapy of various dermatoses and to evaluate individual photosensitivity. Meanwhile, the determination of MED in clinical practice is most often performed visually by naked eye. The traditional assessment of MED is a subjective, inaccurate, poorly reproducible and not quantifiable method. In addition, preliminary UV irradiation is necessary for the estimation of MED and waiting for the results takes 24 hours. Inaccurate determination of MED may lead to the wrong dosing of UV-exposure, which leads to various complications. Today, there are a number of non-invasive methods that allow making the calculation of the MED more objective and accurate. However, these techniques have a number of limitations: the difficulty in mastering the methods, the lack of standardization of the data recording process and the evaluation of results. The majority of methods are based on the assessment of the subjective parameters of UV erythema, but not its objective pathophysiological criteria. In addition, available technologies still do not allow to estimate the MED in the first hours after UV exposure (on-site) or predict MED without UV exposure.

scholarly journals Non-invasive quantitative imaging of hepatocellular carcinoma growth in mice by micro-CT using liver-targeted iodinated nano-emulsions

2017 ◽  
Vol 7 (1) ◽  
Author(s):  
Nicolas Anton ◽  
Alexandru Parlog ◽  
Ghina Bou About ◽  
Mohamed F. Attia ◽  
Marie Wattenhofer-Donzé ◽  
...  
Keyword(s):  
Hepatocellular Carcinoma ◽  
Quantitative Imaging ◽  
Micro Ct ◽  
Non Invasive

scholarly journals Intelligent Classification Technique for Breast Cancer

2019 ◽  
Vol 8 (6) ◽  
pp. 2313-2316
Keyword(s):  
Breast Cancer ◽  
Developed Countries ◽  
Invasive Disease ◽  
Support Vector ◽  
Svm Classifier ◽  
Image Processing Algorithm ◽  
Non Invasive ◽  
Computer Aided ◽  
Aided Diagnosis

Breast cancer is also a leading cause of cancer death in the less developed countries of the world. This is partly because a shift in lifestyles is causing an increase in incidence. Breast cancer originates from the inner lining of milk ducts/lobes either in the form of invasive or non invasive disease in general. Mammography, particularly with Computer-Aided Detection (CAD), can now produce images detailed enough for diagnostic purposes, and digital mammography allows transmission of 3-dimensionssal images over long distances. The aim for the system is to design a Computer Aided Diagnosis systematic tool for perceiving non cancerous and perilous (cancer causing) mammogram. The aim of the research is proposed to develop an image processing algorithm for an automatic detection and classification of breast lesions accurately. CAD tool helped radiologist in expanding his assurance accuracy. Support vector machine (SVM) classifier is used to discriminate the tumors into benign or malignant. Incorporate best features of the find out that has significant responsibility in achieving the perfect turnout which are then designated and associated with ANN to train and classify.

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