Dataset Information

Checklist and Scoring System for the Assessment of Soft Tissue Preservation in CT Examinations of Human Mummies.

ABSTRACT: The purpose of this study was to develop a checklist for standardized assessment of soft tissue preservation in human mummies based on whole-body computed tomography examinations, and to add a scoring system to facilitate quantitative comparison of mummies. Computed tomography examinations of 23 mummies from the Capuchin Catacombs of Palermo, Sicily (17 adults, 6 children; 17 anthropogenically and 6 naturally mummified) and 7 mummies from the crypt of the Dominican Church of the Holy Spirit of Vilnius, Lithuania (5 adults, 2 children; all naturally mummified) were used to develop the checklist following previously published guidelines. The scoring system was developed by assigning equal scores for checkpoints with equivalent quality. The checklist was evaluated by intra- and inter-observer reliability. The finalized checklist was applied to compare the groups of anthropogenically and naturally mummified bodies. The finalized checklist contains 97 checkpoints and was divided into two main categories, "A. Soft Tissues of Head and Musculoskeletal System" and "B. Organs and Organ Systems", each including various subcategories. The complete checklist had an intra-observer reliability of 98% and an inter-observer reliability of 93%. Statistical comparison revealed significantly higher values in anthropogenically compared to naturally mummified bodies for the total score and for three subcategories. In conclusion, the developed checklist allows for a standardized assessment and documentation of soft tissue preservation in whole-body computed tomography examinations of human mummies. The scoring system facilitates a quantitative comparison of the soft tissue preservation status between single mummies or mummy collections.

SUBMITTER: Panzer S

PROVIDER: S-EPMC4526695 | biostudies-literature | 2015

REPOSITORIES: biostudies-literature

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Checklist and Scoring System for the Assessment of Soft Tissue Preservation in CT Examinations of Human Mummies.

Panzer Stephanie S Mc Coy Mark R MR Hitzl Wolfgang W Piombino-Mascali Dario D Jankauskas Rimantas R Zink Albert R AR Augat Peter P

PloS one 20150805 8

The purpose of this study was to develop a checklist for standardized assessment of soft tissue preservation in human mummies based on whole-body computed tomography examinations, and to add a scoring system to facilitate quantitative comparison of mummies. Computed tomography examinations of 23 mummies from the Capuchin Catacombs of Palermo, Sicily (17 adults, 6 children; 17 anthropogenically and 6 naturally mummified) and 7 mummies from the crypt of the Dominican Church of the Holy Spirit of V ...[more]

PMID: 26244862

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Project description:BACKGROUND:Severity of AP is an important indicator of death rate, playing a crucial role in defining a correct dealing with a patient at his/her initial admission, in deciding on the need to transfer a patient to the intensive care unit. Many studies point out a direct relation between the death rate and the number of affected organs. In light of this, looking for the new criteria of multiple organ failure is still useful in clinical practice. Typically, assessment of multiple organ failure with patients undergoing treatment in the intensive care unit is carried out with the use of various integrated scores based both on clinical laboratory assessment of patient's condition and on data obtained by advanced imaging methods. However, many scientists point out that the facilities of diagnostic radiology, including in particularly computerised tomography, are not used to the full extent. AIM:We developed a CT score for assessment of pancreatitis severity that takes into consideration not only alterations of the pancreas but also enables evaluation of multiple organ failure with the examined patients. METHODS:We have examined 100 patients with suspected pancreatitis. Among them 30 patients had pancreatitis without alterations of the vital organs; 70 patients had alterations of the vital organs, suffered organ or multiple organ failure and received treatment in the surgery unit and intensive care unit of the Department of Surgical Conditions of Karaganda Medical University. RESULTS:Because of CT results, based on the proposed score, we assessed a degree of pancreas necrosis, analysed the relation between organ failure and degree of pancreas necrosis. Finally, we evaluated the connection between multiple organ failure and the specific failure of one organ and the presence of necrosis and death rate. CONCLUSION:The proposed score for CT-based assessment of pancreatitis severity can be used not only for identification but also for prediction of organ failure at the early stage of pancreatitis to a high accuracy as compared to conventional CT systems for assessment of the condition of patients affected by pancreatitis. It can also be used to differentiate the severity of organ failure and the number of affected organs.

Project description:PurposeThe global noise (GN) algorithm has been previously introduced as a method for automatic noise measurement in clinical CT images. The accuracy of the GN algorithm has been assessed in abdomen CT examinations, but not in any other body part until now. This work assesses the GN algorithm accuracy in automatic noise measurement in head CT examinations.MethodsA publicly available image dataset of 99 head CT examinations was used to evaluate the accuracy of the GN algorithm in comparison to reference noise values. Reference noise values were acquired using a manual noise measurement procedure. The procedure used a consistent instruction protocol and multiple observers to mitigate the influence of intra- and interobserver variation, resulting in precise reference values. Optimal GN algorithm parameter values were determined. The GN algorithm accuracy and the corresponding statistical confidence interval were determined. The GN measurements were compared across the six different scan protocols used in this dataset. The correlation of GN to patient head size was also assessed using a linear regression model, and the CT scanner's X-ray beam quality was inferred from the model fit parameters.ResultsAcross all head CT examinations in the dataset, the range of reference noise was 2.9-10.2 HU. A precision of ±0.33 HU was achieved in the reference noise measurements. After optimization, the GN algorithm had a RMS error 0.34 HU corresponding to a percent RMS error of 6.6%. The GN algorithm had a bias of +3.9%. Statistically significant differences in GN were detected in 11 out of the 15 different pairs of scan protocols. The GN measurements were correlated with head size with a statistically significant regression slope parameter (p < 10-7 ). The CT scanner X-ray beam quality estimated from the slope parameter was 3.5 cm water HVL (2.8-4.8 cm 95% CI).ConclusionThe GN algorithm was validated for application in head CT examinations. The GN algorithm was accurate in comparison to reference manual measurement, with errors comparable to interobserver variation in manual measurement. The GN algorithm can detect noise differences in examinations performed on different scanner models or using different scan protocols. The trend in GN across patients of different head sizes closely follows that predicted by a physical model of X-ray attenuation.

Dataset Information

Checklist and Scoring System for the Assessment of Soft Tissue Preservation in CT Examinations of Human Mummies.

Publications

Checklist and Scoring System for the Assessment of Soft Tissue Preservation in CT Examinations of Human Mummies.

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