Development of calcium phosphate cement for the augmentation of traumatically fractured porcine specimens using vertebroplasty

The study aim was to develop and apply an experimental technique to determine the biomechanical effect of polymethylmethacrylate (PMMA) and calcium phosphate (CaP) cement on the stiffness and strength of augmented vertebrae following traumatic fracture. Twelve burst type fractures were generated in porcine three-vertebra segments. The specimens were randomly split into two groups (n=6), imaged using microCT and tested under axial loading. The two groups of fractured specimens underwent a vertebroplasty procedure, one group was augmented with CaP cement designed and developed at Queen's University Belfast. The other group was augmented with PMMA cement (WHW Plastics, Hull, UK). The specimens were imaged and re-tested . An intact single vertebra specimen group (n=12) was also imaged and tested under axial loading. A significant decrease (p<0.01) was found between the stiffness of the fractured and intact groups, demonstrating that the fractures generated were sufficiently severe, to adversely affect mechanical behaviour. Significant increase (p<0.01) in failure load was found for the specimen group augmented with the PMMA cement compared to the pre-augmentation group, conversely, no significant increase (p<0.01) was found in the failure load of the specimens augmented with CaP cement, this is attributed to the significantly (p<0.05) lower volume of CaP cement that was successfully injected into the fracture, compared to the PMMA cement. The effect of the percentage of cement fracture fill, cement modulus on the specimen stiffness and ultimate failure load could be investigated further by using the methods developed within this study to test a more injectable CaP cement.

PROSTATIC INTRAEPITHELIAL NEOPLASIA (PIN) - PERFORMANCE OF BAYESIAN BELIEF NETWORK FOR DIAGNOSIS AND GRADING

Prostatic intraepithelial neoplasia (PIN) diagnosis and grading are affected by uncertainties which arise from the fact that almost all knowledge of PIN histopathology is expressed in concepts, descriptive linguistic terms, and words. A Bayesian belief network (BBN) was therefore used to reduce the problem of uncertainty in diagnostic clue assessment, while still considering the dependences between elements in the reasoning sequence. A shallow network was used with an open-tree topology, with eight first-level descendant nodes for the diagnostic clues (evidence nodes), each independently linked by a conditional probability matrix to a root node containing the diagnostic alternatives (decision node). One of the evidence nodes was based on the tissue architecture and the others were based on cell features. The system was designed to be interactive, in that the histopathologist entered evidence into the network in the form of likelihood ratios for outcomes at each evidence node. The efficiency of the network was tested on a series of 110 prostate specimens, subdivided as follows: 22 cases of non-neoplastic prostate or benign prostatic tissue (NP), 22 PINs of low grade (PINlow), 22 PINs of high grade (PINhigh), 22 prostatic adenocarcinomas with cribriform pattern (PACcri), and 22 prostatic adenocarcinomas with large acinar pattern (PAClgac). The results obtained in the benign and malignant categories showed that the belief for the diagnostic alternatives is very high, the values being in general more than 0.8 and often close to 1.0. When considering the PIN lesions, the network classified and graded most of the cases with high certainty. However, there were some cases which showed values less than 0.8 (13 cases out of 44), thus indicating that there are situations in which the feature changes are intermediate between contiguous categories or grades. Discrepancy between morphological grading and the BBN results was observed in four out of 44 PIN cases: one PINlow was classified as PINhigh and three PINhigh were classified as PINlow. In conclusion, the network can grade PlN lesions and differentiate them from other prostate lesions with certainty. In particular, it offers a descriptive classifier which is readily implemented and which allows the use of linguistic, fuzzy variables.

The quality of reporting of diagnostic accuracy studies in glaucoma using scanning laser polarimetry

PURPOSE: Scanning laser polarimetry (SLP) has been proposed as a useful diagnostic test for glaucoma. This study was conducted to evaluate the quality of reporting of published studies using the SLP for diagnosing glaucoma. METHODS: A validated Medline and hand search of English-language articles reporting on measures of diagnostic accuracy of the SLP for glaucoma was performed. Two reviewers independently selected and appraised the manuscripts. The Standards for Reporting of Diagnostic Accuracy (STARD) checklist was used to evaluate the quality of each publication. RESULTS: A total of 47 papers were identified of which the first 10 (from 1997 to 2000) and the last 10 articles (from 2004 to 2005) were appraised. Interobserver rating agreement of STARD items was high (85.5% agreement, ?=0.796). The number of STARD items properly reported ranged from 3/25 to 19/25. Only a quarter of studies (5/20) explicitly reported more than half of the STARD items. Important aspects of the methodology were often missing such as participant sampling (reported in 40% of manuscripts), masking of the readers of the index test and reference standard (reported in 20% of manuscripts), and estimation of uncertainty (eg, 95% confidence intervals, reported in 25% of manuscripts). There was a slight increase in the number of STARD items reported with time. CONCLUSIONS: The quality of reporting of diagnostic accuracy tests for glaucoma with SLP is suboptimal. The STARD initiative may be a useful tool for appraising the strengths and weaknesses of diagnostic accuracy studies. © 2007 Lippincott Williams & Wilkins, Inc.

Diagnostic accuracy and reproducibility of tendency oriented perimetry in glaucoma

PURPOSE. To evaluate the diagnostic capability of tendency oriented perimetry (TOP) in glaucoma. METHODS. A): The diagnostic accuracy of mean defect (MD), square-root of the loss variance (sLV), and number of pathologic points (NPP) was calculated in 295 normal and 414 glaucoma eyes (179 early, 112 moderate, and 123 advanced) examined with TOP. B): Threshold fluctuation (F) and its relationship with the loss variance (LV) was measured in 34 normal and 33 glaucoma eyes (mean MD=3 dB; SD=3.9) for TOP and for full-threshold perimetry (FT). C): Twenty-eight eyes with stable glaucoma (mean MD=9.5 dB; SD=7.2) were examined six times to quantify LV error. D): TOP and FT were tested with the simulation program PeriSim using different behavior models. RESULTS. A): The best diagnostic index in early glaucoma (MD

The quality of reporting of diagnostic accuracy studies in glaucoma using the Heidelberg retina tomograph

PURPOSE. Scanning laser tomography with the Heidelberg retina tomograph (HRT; Heidelberg Engineering, Heidelberg, Germany) has been proposed as a useful diagnostic test for glaucoma. This study was conducted to evaluate the quality of reporting of published studies using the HRT for diagnosing glaucoma. METHODS. A validated Medline and hand search of English-language articles reporting on measures of diagnostic accuracy of the HRT for glaucoma was performed. Two reviewers selected and appraised the papers independently. The Standards for Reporting of Diagnostic Accuracy (STARD) checklist was used to evaluate the quality of each publication. RESULTS. A total of 29 articles were included. Interobserver rating agreement was observed in 83% of items (? = 0.76). The number of STARD items properly reported ranged from 5 to 18. Less than a third of studies (7/29) explicitly reported more than half of the STARD items. Descriptions of key aspects of the methodology were frequently missing. For example, the design of the study (prospective or retrospective) was reported in 6 of 29 studies, and details of participant sampling (e.g., consecutive or random selection) were described in 5 of 29 publications. The commonest description of diagnostic accuracy was sensitivity and specificity (25/29) followed by area under the ROC curve (13/29), with 9 of 29 publications reporting both. CONCLUSIONS. The quality of reporting of diagnostic accuracy tests for glaucoma with HRT is suboptimal. The STARD initiative may be a useful tool for appraising the strengths and weaknesses of diagnostic accuracy studies. Copyright © Association for Research in Vision and Ophthalmology.

The quality of reporting of diagnostic accuracy studies published in ophthalmic journals

Aim: To evaluate the quality of reporting of all diagnostic studies published in five major ophthalmic journals in the year 2002 using the Standards for Reporting of Diagnostic Accuracy (STARD) initiative parameters. Methods: Manual searching was used to identify diagnostic studies published in 2002 in five leading ophthalmic journals, the American Journal of Ophthalmology (AJO), Archives of Ophthalmology (Archives), British Journal of Ophthalmology (BJO), Investigative Ophthalmology and Visual Science (IOVS), and Ophthalmology. The STARD checklist of 25 items and flow chart was used to evaluate the quality of each publication. Results: A total of 16 publications were included (AJO = 5, Archives = 1, BJO = 2, IOVS = 2, and Ophthalmology = 6). More than half of the studies (n = 9) were related to glaucoma diagnosis. Other specialties included retina (n = 4) cornea (n = 2), and neuro-ophthalmology (n = 1). The most common description of diagnostic accuracy was sensitivity and specificity values, published in 13 articles. The number of fully reported items in evaluated studies ranged from eight to 19. Seven studies reported more than 50% of the STARD items. Conclusions: The current standards of reporting of diagnostic accuracy tests are highly variable. The STARD initiative may be a useful tool for appraising the strengths and weaknesses of diagnostic accuracy studies.

The Quality of Reporting of Diagnostic Accuracy Studies of Optical Coherence Tomography in Glaucoma

Objective: To evaluate the quality of reporting of diagnostic accuracy studies using optical coherence tomography (OCT) in glaucoma. Design: Descriptive series of published studies. Participants: Published studies reporting a measure of the diagnostic accuracy of OCT for glaucoma. Methods: Review of English language papers reporting measures of diagnostic accuracy of OCT for glaucoma. Papers were identified from a Medline literature search performed in June 2006. Articles were appraised using the 25 items provided by the Standards for Reporting of Diagnostic Accuracy (STARD) initiative. Each item was recorded as full, partially, or not reported. Main Outcome Measures: Degree of compliance with the STARD guidelines. Results: Thirty papers were appraised. Eight papers (26.7%) fully reported more than half of the STARD items. The lowest number of fully reported items in a study was 5 and the highest was 17. Descriptions of key aspects of methodology frequently were missing. For example, details of participant sampling (e.g., consecutive or random selection) were described in only 8 (26.7%) of 30 publications. Measures of statistical uncertainty were reported in 18 (60%) of 30 publications. No single STARD item was fully reported by all the papers. Conclusions: The standard of reporting of diagnostic accuracy studies in glaucoma using OCT was suboptimal. It is hoped that adoption of the STARD guidelines will lead to an improvement in reporting of diagnostic accuracy studies, enabling clearer evidence to be produced for the usefulness of OCT for the diagnosis of glaucoma. © 2007 American Academy of Ophthalmology.

Comparison of diagnostic ability between a fast strategy, tendency-oriented perimetry, and the standard bracketing strategy

Purpose: To compare the diagnostic abilities of the standard bracketing strategy (BR) and a fast strategy, the tendency-oriented perimetry (TOP). Methods: Seventy-seven controls and 91 eyes from patients with glaucoma were analyzed with the strategies TOP and BR. Sensitivity (Se), specificity (Sp), the area under the receiver operating characteristic (ROC) curve (AC) and the optimum cutoff value (CO) were calculated for the visual field indices mean defect (MD), the square root of the loss variance (sLV) and the number of pathological points (NPP). Results: In the glaucoma group, the mean MD value using TOP and BR was 7.5 and 8.3 dB, respectively. The mean sLV value using TOP and BR was 5.0 and 5.3 dB, respectively. Indices provided by TOP had higher ROC values than the ones provided by BR. Using TOP, the index with the best diagnostic ability was sLV (Sp = 94.8, Se = 90.1, AC = 0.966, CO = 2.5 dB), followed by NPP and MD. Using BR, the best results were obtained for MD (Sp = 92.2, Se = 81.3, AC = 0.900, CO = 2.5 dB) followed by sLV and NPP. Conclusions: A fast strategy, TOP, had superior diagnostic ability than the standard BR. Although TOP provided lower LV values than BR, the diagnostic ability of this index was higher than that of the conventional strategy. Copyright © 2005 S. Karger AG.

Sample size in studies on diagnostic accuracy in ophthalmology:A literature survey

Aim: To assess the sample sizes used in studies on diagnostic accuracy in ophthalmology. Design and sources: A survey literature published in 2005. Methods: The frequency of reporting calculations of sample sizes and the samples' sizes were extracted from the published literature. A manual search of five leading clinical journals in ophthalmology with the highest impact (Investigative Ophthalmology and Visual Science, Ophthalmology, Archives of Ophthalmology, American Journal of Ophthalmology and British Journal of Ophthalmology) was conducted by two independent investigators. Results: A total of 1698 articles were identified, of which 40 studies were on diagnostic accuracy. One study reported that sample size was calculated before initiating the study. Another study reported consideration of sample size without calculation. The mean (SD) sample size of all diagnostic studies was 172.6 (218.9). The median prevalence of the target condition was 50.5%. Conclusion: Only a few studies consider sample size in their methods. Inadequate sample sizes in diagnostic accuracy studies may result in misleading estimates of test accuracy. An improvement over the current standards on the design and reporting of diagnostic studies is warranted.