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We have the latest upgrade available for you! Gleamer´s BoneView Measurements of body axes come with interesting, new functions.  

What is new?

Caton-Deschamps and Insall-Salvati indices

The Caton-Deschamps index is used to measure patellar height and identify patella alta and patella baja. It relies upon the length of the patellar articular surface and its distance from the tibia.

The Insall-Salvati index is the ratio of the patella tendon length to the length of the patella and is used to determine patellar height.

Genu flexum and Genu recurvatum

Genu flexum describes the pathological reduction of full knee extension, also known as flexion contracture. Normal active range of motion is 0° extension and 140° flexion.

In Genu recurvatum, or back knee, the knee bends backwards. In this deformity, excessive extension of the femorotibial joint occurs.

Hindfoot angle on Méary´s views

Méary view X-rays measure the angular deviation of the hindfoot axis in order to assess hindfoot malalignment.

The scientific evidence

van Duijvenbode D, Stavenuiter M, Burger B, van Dijke C, Spermon J, Hoozemans M. The reliability of four widely used patellar height ratios. Int Orthop. 2016 Mar;40(3):493–497.

Kadakia N & Ilahi O. Interobserver Variability of the Insall-Salvati Ratio. Orthopedics. 2003;26(3):321-323.

Neri, R. Barthelemy, Y. Tourné. Radiologic analysis of hindfoot alignment: Comparison of Méary, long axial, and hindfoot alignment views. Revue de Chirurgie Orthopédique et Traumatologique. 2017;103(8):882-887.

Data to upload to Radailogy

Digital radiography of the skeleton

We have the latest upgrade available for you! Gleamer´s BoneView Measurements of body axes come with interesting, new functions.

What is new?

Risser index

The Risser index is used to grade skeletal maturity for patients up to 18 years of age based on the degree of ossification and fusion of the iliac crest apophyses. It is primarily used as a marker of skeletal maturity, a surrogate for growth rate and potential, to plan scoliosis correction.

Acetabular angle for congenital hip measurement

The acetabular angle, or Sharp’s angle, is used to assess developmental hip dysplasia, particularly in patients with already ossifying epiphyses and therefore limited sonographic assessment.

Lumbar spine

The performance on lateral view measurements of the lumbar spine has significantly improved. Furthermore, lordosis is now calculated between L1 and S1, instead of between L1 and L5.

The scientific evidence

Hacquebord J, Leopold S. In Brief: The Risser Classification: A Classic Tool for the Clinician Treating Adolescent Idiopathic Scoliosis. Clin Orthop Relat Res. 2012;470(8):2335-2338.

Lee Y, Chung C, Koo K, Lee K, Kwon D, Park M. Measuring Acetabular Dysplasia in Plain Radiographs. Arch Orthop Trauma Surg. 2011;131(9):1219-1226.

Data to upload to Radailogy

Digital radiography of the skeleton

Not every patient with symptoms of acute intracranial pathology has a corresponding CT correlate, but rather a chronic cerebral process – and vice versa. Therefore, the comprehensive detection of all intracranial pathologies is one of the main tasks of neurologists and radiologists, be it in acute medicine or in routine diagnostics.

It is with great pleasure that we present Brainscan CT, an AI assistant for the detection of acute and chronic intracranial pathologies in CT studies.

Why Brainscan CT matters and how it works

The AI ​​assistant reports acute and chronic intracranial processes in CT scans. Using tables and heat maps, it gives neurologists, radiologists and emergency physicians a direct view of crucial brain pathologies.

Any medical professional can use Brainscan CT for each individual emergency patient by quickly and easily uploading cerebral CT studies to Radailogy. In medical institutions, this AI software can also do its work automatically in the background in order to fully benefit from its triage potential.

Any medical professional can use Brainscan CT by quickly and easily uploading cerebral CT studies to Radailogy. In acute medicine, this AI assistant can also be integrated into the workflow as a standard to fully utilize triage protocols.

Who benefits

Patients, clinicians and radiologists through the comprehensive detection of intracranial pathologies and the outstanding presentation of the results in tables and heat maps.

Our own experience at Radailogy

Brainscan CT detected intraparenchymal, subdural, epidural and subarachnoid hemorrhages with high accuracy in our test series. This corresponds to the performance data given by the manufacturer: sensitivity of an average of 85% with a specificity of at least 95%. Skull fractures were recognized well, even if the sensitivity is only 51% according to the manufacturer. Acute infarctions were detected sufficiently well, although the differentiation from chronic processes was not without exceptions, correlating with a sensitivity of almost 60% and a specificity of 99%. Other pathologies detected by Brainscan CT include: vascular lesions in general, leukoencephalopathy, edema, atrophy, calcifications, and tumors. We were not able to test the latter in detail.

The results are presented using tables. The presence of intracranial pathologies is given as a percentage – as an expression of probability – and is also represented with a bar chart. What initially takes some getting used to is that the specification of 51% already means the detection of individual lesions. The AI ​​assistant produced clear results in the vast majority of our test series. We only observed statements of 50% probability in exceptions in which even radiologists would not naturally come to a clear opinion.

In the current version, Brainscan CT also shows intracranial hemorrhages and leukoencephalopathy using impressive heat maps. The results are delivered directly to the PACS as DICOM images.

Data to upload to Radailogy

Non-enhanced cerebral CT studies of any CT scanner for patients aged 18 and older; axial reformations; maximum matrix size 512 x 512; maximal slice thickness 5 mm; soft tissue reconstruction kernel

MRI of the prostate is an important area of oncological radiology. It takes years of radiological experience to distinguish malignant lesions from benign changes. Furthermore, prostate imaging is an excellent example of close collaboration between radiologists and clinicians. How should the MRI be evaluated in regard to the Gleason score? How stringent is the topographical depiction of the lesions? Which lesions are determined as biopsy targets?

It is with great pleasure that we present Prostate Intelligence, an AI assistant for the detection and analysis of prostate cancer in MR studies.

Why Prostate Intelligence matters and how it works

Prostate Intelligence helps detect and analyze prostate cancer in MR studies. The results are clearly structured with heat maps and tables and enable the selection of biopsy targets. The evaluation of the results is based on the PI-RADS classification. Prostate Intelligence helps radiologists and clinicians save time, particularly when it comes to organ and tumor segmentation. The interdisciplinary case discussions improve in quality.

Who benefits

Clinicians and radiologists through the detailed visualization and diagnosis of prostate cancer in comprehensive images.

Our own experience at Radailogy

Prostate Intelligence convinced us in many ways. The sensitivity, NPV and AUC are each reported as >90% at an AI score threshold of 3.5. According to the AI manufacturer, Lucida Medical, the specificity of at least 78% is only achieved with a Gleason score of 4. Our tests based on our own patient data even outperformed the manufacturer’s data with a Gleason score <4. We observed a high TN rate of >95%. The classification of prostate tumors is given as a five-point AI Likert scale and is based on the PI-RADS score. Prostate Intelligence automatically calculates the prostate volume. The segmentation work is also pleasingly detailed, saves time and provides precision for radiological diagnosis and knowledge transfer to clinicians and patients. Prostate Intelligence can be seamlessly integrated into your daily workflow.

Any medical professional can use Prostate Intelligence for each individual patient by quickly and easily uploading MRI studies of the prostate to Radailogy. Our telemedicine customers also use this AI assistant as a standard in daily practice to optimize their oncology workflow.

The scientific evidence

Sushentsev N, Moreira Da Silva N, Yeung M, Barrett T, Sala E, Roberts M, Rundo L. Comparative performance of fully-automated and semi-automated artificial intelligence methods for the detection of clinically significant prostate cancer on MRI: a systematic review. Insights Imaging. 2022 Mar;13(1):59

Data to upload to Radailogy

1.5-3.0 Tesla, imaging planes should be the same across T2, DWI and DCE; T2: recommended slice thickness 3mm, imaging resolution <0.65mm; DWI & ADC: TE ≤90 msec; TR ≥3000 msec, slice thickness ≤4mm, no gap, resolution ≤2.5mm phase and frequency, high b-value ideally 800-1000; Contrast enhanced T1 (DCE): TR/TE <100msec <5msec, slice thickness 3-4.5mm, no gap, resolution ≤2mm, post contrast total observation >2min. Ideally the enhancement peak should occur at least 1min before observations stop. There is no need for DCE observations longer than 3min.

Chest radiography is one of the most common radiological examinations of all, and it is also an essential first-line imaging modality in hospitals and doctors´ offices. The precision in reporting and the communication of results from radiologists to patients and clinicians are the most important success factors for any optimal discussion of findings and therapy.

It is with great pleasure that we present Rayscape, an AI assistant for chest radiography.

What Rayscape is and how it works

Rayscape increases accuracy in detecting 17 major thoracic pathologies.

Thoracic findings are reported and visualized in tabular form. For each finding, the true positive rate is presented as a degree of probability versus differential diagnoses, especially for pulmonary nodules, pneumonia, and mediastinal pathologies. The clear presentation of findings is a welcome support for knowledge transfer from radiologists to patients and doctors.

Who benefits

Patients, clinicians and radiologists by identifying the most important chest diseases and injuries with a clear presentation of the findings in words and pictures.

Our own experience at Radailogy

We tested Rayscape for several years and brought it to life with the manufacturer. We reviewed the performance data and compared it to our own observations:

Rayscape supports the detection of pulmonary nodules, pulmonary consolidation, pulmonary edema, pulmonary emphysema, interstitial lung disease, tuberculosis, pneumothorax, pleural effusion, atelectasis, cardiomegaly, hilar and mediastinal pathologies, diaphragmatic abnormalities, fractures, scoliosis, catheters and drains. From our point of view, Rayscape achieves the best results in the detection of pneumonia, including viral pneumonia with probability grading from 1 to 6, pulmonary nodules, pneumothorax, pleural effusions, cardiac decompensation, consolidations and atelectasis.

The performance

Rayscape has a high level of accuracy in detecting 17 major chest pathologies. Area Under the Receiver Operating Characteristics (AUROC) is highest for tuberculosis (99.1), pneumothorax (97.4), pulmonary edema (94.7), consolidations (94.6), lowest for interstitial lung disease (81, 5), scoliosis (82), diaphragmatic anomalies (85.4), and hilar and mediastinal pathologies (87.7).

Data to upload to Radailogy

Digital radiography of the chest p.a. or a.p.

With CoLumbo we have an excellent AI assistant for the assessment of the MRI of the lumbar spine. The latest release, now available on Radailogy, brings with it a variety of additional features for high-quality reporting of this common radiological examination. In particular, the description of foraminal stenoses and foraminal nerve impingement as well as the detection of osteochondrotic pathologies according to Modic are important.

It is with great pleasure that we present CoLumbo, an AI assistant for MRI of the lumbar spine.

Why CoLumbo is important and how it works

CoLumbo saves time and increases accuracy in the detection of the most common pathologies of the lumbar spine.

Lumbar spine MRI findings are reported and visualized. It assists in the knowledge transfer from radiologists to both patients and clinicians. In addition, all findings are written in comprehensive, standardized reports and can be used as an integral, automatically filling part of final documents.

Who benefits

Patients, clinicians, and radiologists by more detailed and more accurate diagnosis with subsequent decreased likelihood of suboptimal therapy or surgery. Accurate automatic measurements and clear colorful depiction reduce the need for measuring MRI findings by hand.

Our own experience at Radailogy

The AI ​​assistant supports the detection of disc herniation, disc bulging, central spinal canal stenosis, foraminal stenosis, nerve root impingement, reduced vertebral and disc height, hypo- and hyperlordosis, spondylolisthesis and pseudolisthesis as well as osteochondrotic pathologies according to Modic.

The scientific evidence

CoLumbo´s performance has been tested in clinical research with excellent results in accuracy for intervertebral disc detection and labeling (100%), for the detection of disc herniation (87%; 95% CI: 0.84, 0.89), extrusion (86%; 95% CI: 0.84, 0.89), bulging (76%; 95% CI: 0.73, 0.78), spinal canal stenosis (98%; 95% CI: 0.97, 0.99), nerve root compression (91%; 95% CI: 0.89, 0.92), and spondylolisthesis (87.61%; 95% CI: 85.26, 89.21), respectively.

Lehnen NC, Haase R, JFaber J, Rüber T, Vatter H, Radbruch A, Schmee FC. Detection of Degenerative Changes on MR Images of the Lumbar Spine with a Convolutional Neural Network: A Feasibility Study. Diagnostics 2021; 19;11(5):902

Data to upload to Radailogy

1.0-3.0 Tesla, T2 axial and sagittal 2D and 3D, slice thickness 3.45-5 mm

Lung nodules occur in more than two million people per year in Europe alone. At the same time, the mortality rate from lung cancer worldwide is around two million annually. Their increase is expected to be around 30% in 10-year intervals. These few numbers alone illustrate the high level of responsibility that radiologists bear when interpreting computed tomography of the thorax. And the time-consuming nature of this task is particularly noticable when it comes to assessing lung nodules in each individual patient using their comparative studies.

It is with great pleasure that we present Rayscape Lung CT, an AI assistant for the detection of pulmonary nodules in CT studies.

Why Rayscape Lung CT matters and how it works

Rayscape Lung CT identifies pulmonary nodules from 3 to 30 mm in diameter. An important function is the automated comparison of nodules in the follow-up from CT study to CT study.

The results are reported in tabular form and visualized within the CT images. Each individual nodule is described with its exact location, diameter, volume and especially its morphology. These clear reports are an essential support for the transfer of knowledge from radiologists to patients and clinicians. Rayscape Lung CT can be used both for individual patients and in full-scale oncology departments.

Who benefits

Patients, clinicians and radiologists by the reliable detection of pulmonary nodules with clear reports in tables and images. In both screening and therapeutic oncology settings, the AI ​​assistant with its precise analysis enables timely and individual treatment.

Our own experience at Radailogy

Rayscape Lung CT has high values ​​for PPV, NPV and sensitivity of more than 97% each in our own patient population. At Radailogy, sensitivity in the correct detection of pulmonary nodules is over 93%. Nodules are precisely located and described using the parameters diameter, volume and morphology. If requested, up to three CT studies are compared in the follow-up setting. New nodules are reported as such. In particular, the automated comparison in follow-up lung CTs saves us an amazing amount of time for each individual patient every day and provides us with the desired additional security in the completeness of our findings.

Rayscape Lung CT performs a risk analysis for each study based on the established Fleischer criteria. We recognize this addition as useful, but we have not often used it in daily practice when discussing findings with clinicians and patients.

As described, the AI ​​assistant detects lung nodules with high reliability. We found that primary tumors larger than 30 mm in diameter are not described in detail in the oncological follow-up. However, this is not the goal of the software formulated by the manufacturer.

The scientific evidence

Tenescu A, Bercean BA, Avramescu C, Marcu M. Averaging Model Weights Boosts Automated Lung Nodule Detection on Computed Tomography. 13th International Conference on Bioscience, Biochemistry and Bioinformatics. 2023 ISBN 978-1-4503-9819-0.

Benta MM, Rasadean C, Ardelean PG, Barbulescu I, Birhala A, Bercean B, Avramescu C, Tenescu A, Birsasteanu F. Artificial intelligence in computed tomography – lung nodule analysis algorithm. ECR 2022 DOI 10.26044/ecr2022/C-17388.

Data to upload to Radailogy

Native or contrast enhanced CT studies of the chest of any CT scanner age and vendor; axial reformations; maximal slice thickness 3 mm; lung reconstruction kernel; patient age at least 16 years

Why Radailogy makes a difference

On our online platform www.radailogy.com we offer you the leading AI assistants for your daily use. We put every software through its paces before releasing it to medical professionals worldwide. Visit our online platform and find out which AI assistant is interesting for your medical specialization: https://www.radailogy.com/de/ai-partner/

What Radailogy costs

With Radailogy you are not contractually bound to any AI company. You simply and securely send us your radiological studies and the choice is yours!

Pure AI

You receive the AI results for your studies quickly and transparently, from € 8

Combained

Our radiology specialists, who have been intensively trained in AI, select the appropriate AI for your examination and integrate the AI result into our specialist report, from €23

Defained

Our radiologists use the AI you require and integrate the AI result into our specialist medical report, from € 23

How Radailogy works

We warmly invite you to our kick-off event on December 1, 2023 at 7:00 p.m.! We guide you live from A to Z through the world of our AI!

Visit us in person at our headquarters in Baar, Switzerland or take part in our live presentation via video conference!

Register now!

office@radailogy.com

Tel +41 41 763 33 10

We look forward to welcoming you to Radailogy soon!

Save the Date! We cordially invite you to our kick-off event on December 1, 2023 at 7:00 pm!

Share our vision at Radailogy, experience our performance up close, get to know our team and enjoy an evening of cutting-edge presentations about Artificial Intelligence in medicine with us!

Secure your ticket now at

office@radailogy.com

Central

It couldn’t be more central: Our new location is in the heart of Central Switzerland. With the direct motorway connection in front of the door, you can reach us from Zurich Airport in less than 30 minutes.

Spacious

More work space in an unparalleled elegant and relaxed atmosphere. We have also set up our brand new TV studio. From September 2023 we will be going live with weekly broadcasts.

We will also professionally stream video conferences from here.

Individual

Our employees and guests will find a huge selection of open space rooms, conference rooms and lounges. This is how you experience and enjoy our spirit at Radailogy!

We look forward to starting a trusting and successful future with you!

Your team at Radailogy!

Time is Health: Our motto is particularly understandable when it comes to acute ischemic strokes. Every medical acute care unit knows what it means to accompany a large number of patients around the clock with the best diagnostic precision. Intracranial acute pathologies must be visualized quickly and safely.

It is with great pleasure that we present CINA-ASPECTS, an AI assistant for the detection of acute intracranial ischemia in CT studies.

Why CINA-ASPECTS matters abd how it works

CINA-ASPECTS was developed as a triage tool for emergency radiology. The AI assistant immediately reports suspected acute intracranial ischemia in CT studies and enables the prioritization of these patients. The AI assistant provides radiologists and emergency physicians with an outstanding presentation of the findings in words and images.

Any medical professional can use CINE-ASPECTS for each individual emergency patient by quickly and easily uploading cerebral CT studies to Radailogy. In medical institutions, this AI assistant can also do its work automatically in the background in order to fully exploit the desired triage potential.

Who benefits

The triage of acute ischemic strokes is essential for everyone involved, i.e., patients, clinicians and radiologists.

Our own experience at Radailogy

We were able to reproduce the statistical data of sensitivity of 76.6%, specificity of 88.7% and of accuracy of 87.0% given by the developer in our tests and partly worked out higher data for accuracy.

CINA-ASPECTS detects low attenuation of the supratentorial tissue and sulcal corticomedullar disorders. The eponymous topographical ASPECTS is used for the analysis: the supratentorial tissue is divided into ten regions of the middle cerebral artery supply per hemisphere to describe ischemia in one of the two hemispheres. The suspected pathological areas are marked in color and listed in a table with information on the mean density values ​​per region. From this, the ASPECTS for both hemispheres is calculated and given.

The developer cites as a limitation that older infarctions would not be correctly identified and describes the use of CINA-ASPECTS within 100 minutes of the clinical event as an essential inclusion criteria.

CINA-ASPECTS does not currently support the detection of posterior circulation ischemia (pc-ASPECTS). We expect this with the next upgrade.

We also evaluated CINA-ASPECTS together with two other AI assistants, CINA-ICH and CINA-LVO, which were developed to detect hemorrhagic and non-hemorrhagic strokes in CT studies. Find out more in our AI assistants!

The scientific evidence

Ayobi A, Chang P, Chow D, Filippi C, Quenet S, Tassy M, Chaibi Y. Validation of a Deep Learning AI-based Software for Automated ASPECTS Assessment. ECR 2023. DOI:           10.26044/ecr2023/C-19206

Data to upload to Radailogy

Non-enhanced cerebral CT studies of any CT scanner; axial reformations; minimal matrix size 256 x 256; maximal slice thickness 2.5 mm; tube current 100 kVp to 160 kVp (recommended 120 kVp to 140 kVp); soft tissue reconstruction kernel