Acne Severity Grading: Determining Essential Clinical Component and Features

2018 ◽  
pp. 1-8
Author(s):  
Cheng-Wei Liu ◽  
Jerry Tan
Keyword(s):  
Severity Grading

scholarly journals COVID-19 infection map generation and detection from chest X-ray images

2021 ◽  
Vol 9 (1) ◽  
Author(s):  
Aysen Degerli ◽  
Mete Ahishali ◽  
Mehmet Yamac ◽  
Serkan Kiranyaz ◽  
Muhammad E. H. Chowdhury ◽  
...  
Keyword(s):  
State Of The Art ◽  
Ground Truth ◽  
Clinical Use ◽  
X Ray ◽  
Learning Techniques ◽  
Map Generation ◽  
Severity Grading ◽  
Chest X Ray ◽  
Novel Method ◽  
Aided Diagnosis

AbstractComputer-aided diagnosis has become a necessity for accurate and immediate coronavirus disease 2019 (COVID-19) detection to aid treatment and prevent the spread of the virus. Numerous studies have proposed to use Deep Learning techniques for COVID-19 diagnosis. However, they have used very limited chest X-ray (CXR) image repositories for evaluation with a small number, a few hundreds, of COVID-19 samples. Moreover, these methods can neither localize nor grade the severity of COVID-19 infection. For this purpose, recent studies proposed to explore the activation maps of deep networks. However, they remain inaccurate for localizing the actual infestation making them unreliable for clinical use. This study proposes a novel method for the joint localization, severity grading, and detection of COVID-19 from CXR images by generating the so-called infection maps. To accomplish this, we have compiled the largest dataset with 119,316 CXR images including 2951 COVID-19 samples, where the annotation of the ground-truth segmentation masks is performed on CXRs by a novel collaborative human–machine approach. Furthermore, we publicly release the first CXR dataset with the ground-truth segmentation masks of the COVID-19 infected regions. A detailed set of experiments show that state-of-the-art segmentation networks can learn to localize COVID-19 infection with an F1-score of 83.20%, which is significantly superior to the activation maps created by the previous methods. Finally, the proposed approach achieved a COVID-19 detection performance with 94.96% sensitivity and 99.88% specificity.

scholarly journals Food allergy and anaphylaxis – 2054. Easy-to-use severity grading system for treatment of symptoms induced by oral food challenge

2013 ◽  
Vol 6 ◽  
pp. P137 ◽  
Author(s):  
Noriyuki Yanagida ◽  
Yuu Okada ◽  
Hasegawa Yukiko ◽  
Taro Miura ◽  
Ishida Wako ◽  
...  
Keyword(s):  
Food Allergy ◽  
Food Challenge ◽  
Oral Food Challenge ◽  
Grading System ◽  
Severity Grading

scholarly journals A reduced lymphocyte ratio as an early marker for predicting acute pancreatitis

2017 ◽  
Vol 7 (1) ◽  
Author(s):  
Xiuzhong Qi ◽  
Fangyong Yang ◽  
Haitao Huang ◽  
Yiqi Du ◽  
Yan Chen ◽  
...  
Keyword(s):  
Acute Pancreatitis ◽  
Likelihood Ratio ◽  
Disease Process ◽  
Positive Likelihood Ratio ◽  
Negative Likelihood Ratio ◽  
Roc Curves ◽  
Lymphocyte Ratio ◽  
Severity Prediction ◽  
Severity Grading ◽  
Mild Acute Pancreatitis

Abstract The early diagnosis and severity grading for acute pancreatitis (AP) are difficult to determine because of the complexity and differences in disease process. To date, few studies have investigated the role of lymphocyte ratio (LR) in AP. Therefore, the objective of the present study was to investigate the prognostic value of LR as an indicator in AP, as well as determine an optimal cut-off value for the severity prediction. There were two hundred four patients involved in this study, ninety-two of whom had severe acute pancreatitis (SAP). The LR was analyzed on admission and correlated with severity, which was determined using the Atlanta classification. The optimal cut-off value for LR was generated using receiving operator characteristic (ROC) curves. The results showed that the LR in the SAP group decreased significantly compared to the mild acute pancreatitis (MAP) group (8.82 vs. 13.43). The optimal cut-off value obtained from ROC curves was 0.081, with a sensitivity of 80.4%, a specificity of 53.3%, a positive likelihood ratio of 1.722, and a negative likelihood ratio of 0.368. In conclusion, the LR is obviously related to the condition of AP patients and is valuable for the differential diagnosis of SAP in early stages of AP.

scholarly journals A Novel Radiographic Measurement Method for the Evaluation of Metatarsophalangeal Joint Dislocation of the Lesser Toe in Patients with Rheumatoid Arthritis

2021 ◽  
Vol 18 (14) ◽  
pp. 7520
Author(s):  
Hideki Ohashi ◽  
Keiichiro Nishida ◽  
Yoshihisa Nasu ◽  
Kenta Saiga ◽  
Ryuichi Nakahara ◽  
...  
Keyword(s):  
Rheumatoid Arthritis ◽  
Roc Analysis ◽  
Metatarsophalangeal Joint ◽  
Metatarsal Head ◽  
Radiographic Measurement ◽  
Joint Dislocation ◽  
Severity Grading ◽  
Grade 3 ◽  
The Relationship ◽  
Mtp Joints

Dorsal dislocation of metatarsophalangeal (MTP) joints of the lesser toe frequently occurs in patients with rheumatoid arthritis (RA), and may cause painful and uncomfortable plantar callosities and ulceration. The current study examined the reliability and clinical relevance of a novel radiographic parameter (the MTP overlap distance [MOD]) in evaluating the severity of MTP joint dislocation. The subjects of the current study were 147 RA patients (276 feet; 1104 toes). MOD, defined as the overlap distance of the metatarsal head and the proximal end of the phalanx, was measured on plain radiographs. The relationship between the MOD and clinical complaints (forefoot pain and/or callosity formation) was analyzed to create a severity grading system. As a result, toes with callosities had a significantly larger MOD. ROC analysis revealed that the MOD had a high AUC for predicting an asymptomatic foot (−0.70) and callosities (0.89). MOD grades were defined as follows: grade 1, 0 ≤ MOD < 5 mm; grade 2, 5 ≤ MOD < 10 mm; and grade 3, MOD ≥ 10 mm. The intra- and inter-observer reliability of the MOD grade had high reproducibility. Furthermore, the MOD and MOD grade improved significantly after joint-preserving surgeries for lesser toe deformities. Our results suggest that MOD and MOD grade might be useful tools for the evaluation of deformities of the lesser toe and the effect of surgical intervention for MTP joints in patients with RA.

Association Between the SVS/AAVS Anatomical Severity Grading Score and Operative Outcomes in Fenestrated Endovascular Repair of Juxtarenal Aortic Aneurysm

2013 ◽  
Vol 20 (3) ◽  
pp. 356-365 ◽  
Author(s):  
Thorarinn Kristmundsson ◽  
Björn Sonesson ◽  
Nuno Dias ◽  
Martin Malina ◽  
Timothy Resch
Keyword(s):  
Aortic Aneurysm ◽  
Endovascular Repair ◽  
Operative Outcomes ◽  
Severity Grading

scholarly journals The importance of early intervention in the treatment of hepatic veno-occlusive disease

2019 ◽  
Vol 8 (2) ◽  
pp. IJH15
Author(s):  
Antonio Pagliuca
Keyword(s):  
Early Intervention ◽  
European Society ◽  
Marrow Transplant ◽  
Occlusive Disease ◽  
College Hospital ◽  
Hematopoietic Stem ◽  
The Past ◽  
Blood And Marrow Transplant ◽  
King's College ◽  
Severity Grading

Antonio Pagliuca is Professor of hematopoietic stem cell transplantation at King’s College London (UK) and medical director at King’s College Hospital where, until last year, he had been the transplant director for the past 24 years. He also has roles within NHS England as national clinical lead for regenerative medicine and is a trustee on both the Anthony Nolan trust (London, UK) and Leukemia UK (London, UK). Here he speaks to Commissioning Editor Jennifer Straiton and discusses the interim results of the DEFIFrance study, recently presented at the European Society for Blood and Marrow Transplant (EBMT), which looked at the real-world use of the European Society for Blood and Marrow Transplant severity grading criteria. The study investigates the use of defibrotide as a treatment of patients with post-transplant hepatic veno-occlusive disease and demonstrates how it can benefit from early intervention.

scholarly journals The diagnostic value of intravenous contrast computed tomography in addition to plain computed tomography in dogs with head trauma

2021 ◽  
Vol 17 (1) ◽  
Author(s):  
Yasamin Vali ◽  
Ingrid Gielen ◽  
Sarang Soroori ◽  
Eberhard Ludewig
Keyword(s):  
Computed Tomography ◽  
Soft Tissue ◽  
Head Trauma ◽  
Cerebral Edema ◽  
Diagnostic Value ◽  
Intravenous Contrast ◽  
Post Contrast ◽  
Traumatic Injuries ◽  
Severity Grading ◽  
History Of

Abstract Background The aim of this study is to evaluate additional findings which can be detected by post-contrast computed tomography (CCT) in relation to plain CT (PCT) findings in patients presented with head trauma. Medical records of canine patients with the history of head trauma from three institutions were reviewed. PCT- and CCT-anonymized images were evaluated by a veterinary radiologist separately. From the categorized findings the following conclusions were drawn as: abnormalities were identified on (A) PCT but missed on CCT, (B) CCT but missed on PCT, (C) both PCT and CCT. Results Thirty-two patients were included. The results showed that findings identified on CCT or PCT (category A and B) but missed on the other series were limited to mild soft tissue and sinus changes. Overall, 61 different fracture areas, 6 injuries of the temporomandibular joint (TMJ), 4 orbital injuries, 14 nasal cavities with soft tissue density filling, 13 areas of emphysema, 4 symphysis separations, 12 intracranial hemorrhages, 6 cerebral edema, 5 cerebral midline shifts, 3 intracranial aeroceles, 3 brain herniations and 6 intraparenchymal foreign bodies (defined as an abnormal structure located within the brain: e.g. bony fragments, bullet, teeth,..) were identified on both PCT and CCT separately (category C). Severity grading was different in 50% (3/6) of the reported cerebral edema using PCT and CCT images. Conclusion The results showed that PCT is valuable to identify the presence of intracranial traumatic injuries and CCT is not always essential to evaluate vital traumatic changes.

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