Inter-observer variability of the histological classification of lupus glomerulonephritis in children

Objective: To apply the St Thomas’ Hospital (STH) classification of round window type, in a Pakistani pediatric population undergoing cochlear implantation, and rate the inter observer variability of applying this classification. Study Design: Cross sectional study. Place and Duration of Study: Combined Military Hospital Rawalpindi, from Apr 2019 to Dec 2020. Methodology: Patients were examined per-operatively by a panel of four surgeons after "optimal" posterior tympanotomy for round window variations, as per STH classification of approachability of RWM. The observations of the four surgeons were recorded and interobserver variation was assessed and analyzed. Results: A total of 100 patients were operated, 45 females and 55 males. Mean age was 3.8 years. There was minimal inter observer variability with regards to round window type and extent of "optimal" posterior tympanotomy. Three patients had type I, 76 had type IIA, 15 had type IIB and 6 patients had type III. Round window insertion/membranous cochleostomy was possible in 70 patients, whereas the rest require extended round window approach or bony cochleostomy. Conclusion: The STH classification is a useful predictor of route of CI electrode insertion and most patients can undergo RW insertion with confidence based on minimal variation between surgeons when applying the STH classification as well as when deciding the extent of surgical exposure.

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Evaluation of Sternal Bone Healing with Computed Tomography and a Quantitative Scoring Algorithm

The Open Medical Imaging Journal ◽

10.2174/1874347101408010029 ◽

2014 ◽

Vol 8 (1) ◽

pp. 29-35 ◽

Cited By ~ 8

Author(s):

Gregory S. Stacy ◽

Osmanuddin Ahmed ◽

Arlene Richardson ◽

Brian M. Hatcher ◽

Heber MacMahon ◽

...

Keyword(s):

Computed Tomography ◽

Bone Healing ◽

Potential Benefit ◽

Median Sternotomy ◽

Kappa Statistics ◽

Observer Variability ◽

Computed Tomographic ◽

Inter Observer Variability ◽

Scoring Algorithm

Objective: The exquisite bone detail offered by computed tomography makes it the ideal modality for evaluation of bone healing. However, few studies have investigated the normal computed tomographic appearance of the sternum after median sternotomy and, to the best of our knowledge, no computed tomographic classification of sternal healing has been proposed. Given the potential benefit of objective criteria, we propose a validated scoring classification of sternal healing using computed tomography for both clinical and investigational purposes. Methods: Computed tomography scans from 20 patients who underwent a median sternotomy were evaluated for sternal healing at either 3 or 6 months postoperatively. Five anatomic locations along the sternum were selected using defined criteria, and a 6-point quantitative scale was developed to evaluate sternal healing. Independent radiologists read and scored each of the 5 locations on the sternum. Inter- and intra-observer variability was assessed by calculating the kappa statistics to measure the reliability of the scoring algorithm. Results: Calculation of the kappa statistics indicated substantial agreement for intra-observer variability and substantial to almost perfect agreement for inter-observer variability. For intra-observer variability, the kappa statistics ranged from 0.591 to 0.802, and for inter-observer variability, the kappa statistics ranged from 0.590 to 0.969. When the two radiologists differed, the magnitude of the difference was no more than 1 or 2 points. Conclusion: This simple system of evaluating sternal healing had high inter- and intra-observer reliability. Therefore, it may be considered a valid method for assessing sternal osteosynthesis for both clinical and investigative purposes. Ultramini abstract: (49 words): Few studies have investigated the normal computed tomography appearance of the sternum after median sternotomy, and we knew of no computed tomography-based classification of sternal healing. Given the potential benefit of objective criteria, we designed and validated a scoring classification of sternal osteosynthesis for both clinical and investigational purposes.

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Inter-observer variability of radiologists for Cambridge classification of chronic pancreatitis using CT and MRCP: results from a large multi-center study

Abdominal Radiology ◽

10.1007/s00261-020-02521-7 ◽

2020 ◽

Vol 45 (5) ◽

pp. 1481-1487 ◽

Cited By ~ 1

Author(s):

Temel Tirkes ◽

◽

Zarine K. Shah ◽

Naoki Takahashi ◽

Joseph R. Grajo ◽

...

Keyword(s):

Chronic Pancreatitis ◽

Observer Variability ◽

Inter Observer Variability ◽

Multi Center Study ◽

Center Study

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Classification of Breast Lesions using Modified Masood Score and Neural Network

Biomedical & Pharmacology Journal ◽

10.13005/bpj/1544 ◽

2018 ◽

Vol 11 (3) ◽

pp. 1745-1748

Author(s):

Sonali Nandish Manoli ◽

Anand Raj Ulle ◽

N.M. Nandini ◽

T.S. Rekha

Keyword(s):

Neural Network ◽

Breast Lesion ◽

Breast Lesions ◽

Observer Variability ◽

Feed Forward Neural Network ◽

Inter Observer Variability ◽

Class 1 ◽

Novel Method ◽

Nuclear Features

In this paper, we propose a novel method to classify Breast Lesions based on minute changes in the cell and nuclear features of the cell. It is important to note these changes as they play a significant role in diagnosis and the line of treatment by an oncologist. To overcome the problem of inter-observer variability the method of scoring is used to grade the lesions considered for the study. We have used the Modified Masood Score and designed an algorithm which classifies a given breast lesion into 6 classes namely Benign, Intermediate class-1,Intermediate class-2, Malignant class-1,Malignant class-2 and Malignant class-3. We have developed a sensitive model using the feed-forward neural network and Pattern Network to achieve the above objective. The Rank of the features is observed using ReliefF Algorithm.

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