scholarly journals Different Deformity Origins and Morphological Features in Subtypes of Valgus Knees: A Radiological Classification System

2021 ◽  
Author(s):  
Dejin Yang ◽  
Yixin Zhou ◽  
Hongyi Shao ◽  
Wang Deng
Keyword(s):  
Classification System ◽  
Morphological Features ◽  
Radiological Classification

A novel radiological classification system of the distal femur

2021 ◽  
Author(s):  
Mustafa Citak ◽  
Ali Levent ◽  
Eduardo M. Suero ◽  
Kristof Rademacher ◽  
Sophia-Marlene Busch ◽  
...  
Keyword(s):  
Classification System ◽  
Distal Femur ◽  
Radiological Classification

scholarly journals Heartbeat Classification Using Normalized RR Intervals and Morphological Features

2014 ◽  
Vol 2014 ◽  
pp. 1-11 ◽  
Author(s):  
Chun-Cheng Lin ◽  
Chun-Min Yang
Keyword(s):  
Feature Extraction ◽  
Classification System ◽  
Linear Prediction ◽  
Morphological Features ◽  
Rr Intervals ◽  
Heartbeat Classification ◽  
Linear Discriminant ◽  
Rr Interval ◽  
Signal Preprocessing ◽  
Ectopic Beats

This study developed an automatic heartbeat classification system for identifying normal beats, supraventricular ectopic beats, and ventricular ectopic beats based on normalized RR intervals and morphological features. The proposed heartbeat classification system consists of signal preprocessing, feature extraction, and linear discriminant classification. First, the signal preprocessing removed the high-frequency noise and baseline drift of the original ECG signal. Then the feature extraction derived the normalized RR intervals and two types of morphological features using wavelet analysis and linear prediction modeling. Finally, the linear discriminant classifier combined the extracted features to classify heartbeats. A total of 99,827 heartbeats obtained from the MIT-BIH Arrhythmia Database were divided into three datasets for the training and testing of the optimized heartbeat classification system. The study results demonstrate that the use of the normalized RR interval features greatly improves the positive predictive accuracy of identifying the normal heartbeats and the sensitivity for identifying the supraventricular ectopic heartbeats in comparison with the use of the nonnormalized RR interval features. In addition, the combination of the wavelet and linear prediction morphological features has higher global performance than only using the wavelet features or the linear prediction features.

Reliability of the Lisfranc injury radiological classification (Myerson-modified Hardcastle classification system)

2015 ◽  
Vol 39 (11) ◽  
pp. 2215-2218 ◽  
Author(s):  
Shady Mahmoud ◽  
Faisal Hamad ◽  
Muhammad Riaz ◽  
Ghalib Ahmed ◽  
Mohammad Al Ateeq ◽  
...  
Keyword(s):  
Classification System ◽  
Lisfranc Injury ◽  
Radiological Classification

scholarly journals A proposed radiological classification system of Hoffa’s fracture based on fracture configuration and consequent optimal treatment strategy along with the review of literature

SICOT-J ◽  
2019 ◽  
Vol 5 ◽  
pp. 18 ◽  
Author(s):  
Vaibhav Bagaria ◽  
Gaurav Sharma ◽  
Chaitanya Waghchoure ◽  
Rajendra M Chandak ◽  
Amit Nemade ◽  
...  
Keyword(s):  
Treatment Strategy ◽  
Classification System ◽  
Fragment Size ◽  
Tertiary Care ◽  
Treatment Modalities ◽  
Hoffa Fracture ◽  
Observer Reliability ◽  
Fracture Patterns ◽  
Fracture Configuration ◽  
Radiological Classification

Background: Coronal fractures of distal end femur, referred as Hoffa’s fracture are not uncommon, yet easily missed injuries lacking proper classification system and consensus for ideal treatment. While most trauma surgeons adopt different strategies based on the fracture configuration and their own experience, there are no set ways to classify these based on the most appropriate treatment strategy. Methods: Thirty cases of Hoffa fracture from tertiary care centres were studied for the fracture pattern, fragment size, comminution and possible variations to formulate a radiological classification and treatment guidelines. Additionally, a literature search was used to analyze 77 case studies based on Hoffa fracture to find out the common fracture patterns and treatment modalities adopted for varying fracture patterns in these studies. Six independent observers participated in testing the inter-observer reliability of the proposed classification. Results: A new proposed radiological classification for Hoffa fracture consists of four main types. Type 1 is with fracture fragment >2.5 cm, Type 2 with fragment <2.5 cm, Type 3 is comminuted fracture, Type 4 are subdivided as Type 4a – Anterior, Type 4b – Bicondylar, Type 4c – Osteochondral type and Type 4d – With supracondylar extension. Optimum treatment modality depends on the type of Hoffa’s fracture and has been suggested in the study. Interobserver reliability demonstrated that overall agreement was 0.907692 with a fixed marginal Kappa of 0.881067 and free Marginal Kappa at 0.892308. Intra-observer reliability test for the classification system showed a strong Kappa value of +1.0. Conclusion: The new suggested classification helps identify different types of Hoffa’s fracture. This is likely to help decide optimal surgical treatment depending on the nature of the injury. The classification system has high inter and intra-observer reliability that enables its universal applicability.

Validity of the Novel Radiological Classification System of the Distal Femur

2021 ◽  
Author(s):  
Mustafa Akkaya ◽  
Mehmet Emin Simsek ◽  
Serhat Akcaalan ◽  
Ceyhun Caglar ◽  
Safa Gursoy ◽  
...  
Keyword(s):  
Knee Arthroplasty ◽  
Classification System ◽  
Interobserver Agreement ◽  
Distal Femur ◽  
Intraobserver Agreement ◽  
Alpha Coefficient ◽  
Cronbach’S Alpha ◽  
Cronbach's Alpha ◽  
Percent Agreement ◽  
Radiological Classification

Abstract Objective Aseptic loosening (AL) is among the most important causes of failure after total knee arthroplasty (TKA). However, while there are numerous underlying causes of AL, the morphometry of the distal femur and intramedullary canal has not been sufficiently demonstrated. This study aimed to show the interobserver and intraobserver reliability and validity of the Citak classification, which has been recently defined according to the morphometry of the distal femur and provides a risk factor definition for AL. Materials and Methods A total of 200 patients whose standardized anteroposterior (AP) and lateral images of the knee joint were obtained between October 2019 and April 2020 were retrospectively evaluated in this study. Patients with a history of extra-articular deformity and knee surgery were excluded from the study. For AL, morphologies of the distal femur were identified by two observers using the new radiological classification system of the distal femur. Mean pairwise Cronbach’s alpha coefficient was used to assess the intra- and interobserver agreement of the classification. Results There was excellent interobserver agreement for the 20 cm proximal and 2 cm proximal to the lateral joint line (PLJL) and adductor tubercle (PAD), respectively. The mean Cronbach’s alpha coefficient was 0.96 (range 0.764–0.944) for the PAD and 0.98 (range 0.734–0.929) for the PLJL. There was also an excellent intraobserver agreement, with 93% average pairwise percent agreement for the index group and 95.5% average pairwise percent agreement for the anatomical classification group. Conclusions The level of inter- and intraobserver agreement for the morphology of the distal femur was excellent in the new radiological classification system, which was shown to be beneficial in the planning of revision knee arthroplasty for AL. However, there is a need for further studies in order to make a correlation of the classification with specific intraoperative findings.

A 4-tier Protocolized Radiological Classification System for Leaks Following Sleeve Gastrectomy

2021 ◽  
Vol Publish Ahead of Print ◽  
Author(s):  
Yazmin Johari ◽  
William Catchlove ◽  
Madeleine Tse ◽  
Kalai Shaw ◽  
Eldho Paul ◽  
...  
Keyword(s):  
Sleeve Gastrectomy ◽  
Classification System ◽  
Radiological Classification

scholarly journals A novel radiological classification system for cerebral gliomas: The Brain-Grid

PLoS ONE ◽  
2019 ◽  
Vol 14 (1) ◽  
pp. e0211243 ◽  
Author(s):  
Francesco Latini ◽  
Markus Fahlström ◽  
Shala G. Berntsson ◽  
Elna-Marie Larsson ◽  
Anja Smits ◽  
...  
Keyword(s):  
Classification System ◽  
Cerebral Gliomas ◽  
Radiological Classification ◽  
The Brain

scholarly journals New Radiological Classification of Glioma and validation with the survival analysis

2020 ◽  
Author(s):  
Akshaykumar Nana Kamble ◽  
Nidhi K Agrawal ◽  
Surabhi Koundal ◽  
Salil Bhargava ◽  
Abhaykumar Nana Kamble
Keyword(s):  
Survival Analysis ◽  
Genetic Markers ◽  
Classification System ◽  
Cox Regression ◽  
Unmet Need ◽  
High Grade ◽  
Testing Dataset ◽  
Radiological Classification ◽  
High Grade Gliomas

AbstractRadiology based classification of glioma independent of histological or genetic markers predicting survival of patients is an unmet need. Until now radiology is chasing these markers rather than focussing directly on the clinical outcome. Our study is first of its kind to come up with the independent new radiological classification of gliomas encompassing both low-and high-grade gliomas under single classification system.TCGA-LGG and REMBRANDT public domain dataset of glioma were analyzed as training and testing dataset respectively. Based on MRI images, gliomas were classified into six types in detailed classification & three types in simplified classification system. Survival analysis using Kaplan Meier and Cox regression was done. Secondary objective was to evaluate the sensitivity and specificity of novel signs with existing histological and genetic markers.The study predicted survival in both training and testing dataset independent of genetic or histological information. Novel signs, “Ball on Christmas tree” sign(highly specific), Type-4 lineage sign(highly sensitive) identifies IDH-wild and high-grade gliomas (grade-III and IV) while Type-2 lineage sign showed good specificity in identifying 1p19q non co-deleted IDH-mutated, ATRX del/mutated, Grade-II gliomas. There is a substantial interobserver agreement for the classification and novel signs. New radiological classification of glioma predicts the survival of patients independent of genetic or histological information. This can act as a scaffolding to formulate and streamline the treatment guidelines for glioma patients. This classification has potential of improving the quality of care of glioma patients by predicting the survival without the need of invasive biopsy.

scholarly journals Spontaneous Upper Urinary Tract Rupture Caused by Ureteric Stones: Clinical Characteristics and Validation of a Radiological Classification System

Diagnostics ◽  
2021 ◽  
Vol 11 (9) ◽  
pp. 1568
Author(s):  
Carolina Bebi ◽  
Matteo Giulio Spinelli ◽  
Gianpaolo Lucignani ◽  
Pierpaolo Biondetti ◽  
Laura Martinetti ◽  
...  
Keyword(s):  
Logistic Regression ◽  
Urinary Tract ◽  
Classification System ◽  
Interobserver Agreement ◽  
Intraclass Correlation ◽  
Upper Urinary Tract ◽  
Free Fluid ◽  
Local Spread ◽  
Radiological Classification ◽  
Urine Extravasation

Background: This study seeks to validate a radiological classification system of spontaneous upper urinary tract rupture (sUUTR) and to analyse its relationship with clinical, laboratory and radiological characteristics of sUUTR. Methods: We analysed data from 66 patients with a computerised tomography (CT)-proven sUUTR treated with ureteral or nephrostomy catheter positioning. Comorbidities were scored with the Charlson Comorbidity Index (CCI). All CT scans were reviewed by two experienced radiologists and one urologist, who classified sUUTR in (a) local spread, (b) free fluid and (c) urinoma. Interobserver agreement for radiological score was evaluated with the Intraclass Correlation Coefficient (ICC) and Cohen’s Kappa analyses. Descriptive statistics and logistic regression models verified the association between clinical variables and sUUTR severity. Results: The interobserver agreement for sUUTR classification was high among radiologists and between the radiologists and the urologist (all Kappa > 0.7), with an overall high interrater reliability (ICC 0.82). Local spread, free fluid and urinoma were found in 24 (36.4%), 39 (59.1%) and 3 (4.5%) cases, respectively. Patients with free fluid/urinoma had higher rate of CCI ≥ 1 than those with local spread (40.5% vs. 16.7%, p = 0.04). Intraoperative absence of urine extravasation was more frequently found in patients with local spread than those with free fluid/urinoma (66.7% vs. 28.6%, p < 0.01). Multivariable logistic regression analysis revealed that local spread (OR 4.5, p < 0.01) was associated with absence of contrast medium extravasation during pyelography, after accounting for stone size, fever and CCI. Conclusions: The analysed sUUTR classification score had good inter/intra-reader reliability among radiologists and urologists. Absence of urine extravasation was five times more frequent in patients with local spread, making conservative treatment feasible in these cases.

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