Search PubMed⌕ Search

Biomedical subjects

Kelly H Zou

Publications and source records attributed to Kelly H Zou.

10 recordsLinked to original sources

Hypothesis testing I: proportions.

Statistical inference involves two analysis methods: estimation and hypothesis testing, the latter of which is the subject of this article. Specifically, Z tests of proportion are highlighted and illustrated with imaging data from two previously published clinical studies. First, to evaluate the relationship between nonenhanced computed tomographic (CT) findings and clinical outcome, the authors demonstrate the use of the one-sample Z test in a retrospective study performed with patients who had ureteral calculi. Second, the authors use the two-sample Z test to differentiate between primary and metastatic ovarian neoplasms in the diagnosis and staging of ovarian cancer. These data are based on a subset of cases from a multiinstitutional ovarian cancer trial conducted by the Radiologic Diagnostic Oncology Group, in which the roles of CT, magnetic resonance imaging, and ultrasonography (US) were evaluated. The statistical formulas used for these analyses are explained and demonstrated. These methods may enable systematic analysis of proportions and may be applied to many other radiologic investigations.

Diagnostic Imaging↗

Correlation and simple linear regression.

In this tutorial article, the concepts of correlation and regression are reviewed and demonstrated. The authors review and compare two correlation coefficients, the Pearson correlation coefficient and the Spearman rho, for measuring linear and nonlinear relationships between two continuous variables. In the case of measuring the linear relationship between a predictor and an outcome variable, simple linear regression analysis is conducted. These statistical concepts are illustrated by using a data set from published literature to assess a computed tomography-guided interventional technique. These statistical methods are important for exploring the relationships between variables and can be applied to many radiologic studies.

Factor Analysis, Statistical↗

Sample size considerations in observational health care quality studies.

A common objective in health care quality studies involves measuring and comparing the quality of care delivered to cohorts of patients by different health care providers. The data used for inference involve observations on units grouped within clusters, such as patients treated within hospitals. Unlike cluster randomization trials where often clusters are randomized to interventions to learn about individuals, the target of inference in health quality studies is the cluster. Furthermore, randomization is often not performed and the resulting biases may invalidate standard tests. In this paper, we discuss approaches to sample size determination in the design of observational health quality studies when the outcome is binary. Methods for calculating sample size using marginal models are briefly reviewed, but the focus is on hierarchical binomial models. Sample size in unbalanced clusters and stratified designs are characterized. We draw upon the experiences that have arisen from a study funded by the Agency for Healthcare Research and Quality involving assessment of quality of care for patients with cardiovascular disease. If researchers are interested in comparing clusters, hierarchical models are preferred.

Anti-Inflammatory Agents, Non-Steroidal↗

Quantitative analysis of MRI signal abnormalities of brain white matter with high reproducibility and accuracy.

PURPOSE: To assess the reproducibility and accuracy compared to radiologists of three automated segmentation pipelines for quantitative magnetic resonance imaging (MRI) measurement of brain white matter signal abnormalities (WMSA). MATERIALS AND METHODS: WMSA segmentation was performed on pairs of whole brain scans from 20 patients with multiple sclerosis (MS) and 10 older subjects who were positioned and imaged twice within 30 minutes. Radiologist outlines of WMSA on 20 sections from 16 patients were compared with the corresponding results of each segmentation method. RESULTS: The segmentation method combining expectation-maximization (EM) tissue segmentation, template-driven segmentation (TDS), and partial volume effect correction (PVEC) demonstrated the highest accuracy (the absolute value of the Z-score was 0.99 for both groups of subjects), as well as high interscan reproducibility (repeatability coefficient was 0.68 mL in MS patients and 1.49 mL in aging subjects). CONCLUSION: The addition of TDS to the EM segmentation and PVEC algorithms significantly improved the accuracy of WMSA volume measurements, while also improving measurement reproducibility.

Aging↗

Tumor detection by virtual cystoscopy with color mapping of bladder wall thickness.

PURPOSE: We determine the value of color mapping of bladder wall thickness for detection of tumor as a component of virtual cystoscopy. MATERIALS AND METHODS: A total of 31 subjects with hematuria and/or a history of bladder tumor underwent helical computerized tomography of the pelvis after distention of the bladder with air. Three-dimensional (D) models were constructed, and thickness of the wall was color mapped according to a fixed and validated mm. scale. Axial source images and 3-D models were reviewed and graded for the presence of wall thickening. A comparison was made with findings on conventional cystoscopy in 31 patients and pathological specimen in 13. RESULTS: Compared with conventional cystoscopy, the analysis of axial image yielded a sensitivity of 0.80, specificity 0.90, positive predictive value 0.80 and negative predictive value 0.90 for the presence of tumor. Examination of color mapped 3-D renderings resulted in 0.83, 0.36, 0.42 and 0.71, respectively. CONCLUSIONS: Thin axial computerized tomography of the air distended bladder shows promise as a potential screening tool for bladder cancer. The low specificity of color mapped 3-D renderings makes the technique inappropriate for screening. It may valuable for guiding urologists to additional suspicious sites in a patient with a known tumor.

Aged↗

Comparison of accuracy and interreader agreement in side-by-side versus independent evaluations of MR imaging of the medial collateral ligament of the elbow.

RATIONALE AND OBJECTIVES: The authors compared independent and side-by-side evaluation of magnetic resonance (MR) images of the medial collateral ligament (MCL) of the elbow, with regard to sensitivity, specificity, and interreader agreement MATERIALS AND METHODS: Six MR imaging sequences were used to image the MCLs in 28 cadaveric specimens, eight with surgically created lesions. Two reading methods were used. For independent evaluation, the images were first evaluated independently and rated on a five-point scale by two musculoskeletal radiologists experienced in interpreting MR images and blinded to the MCL integrity. The images were then reevaluated on the same scale by both readers after at least 2 weeks, with images from all six sequences shown side by side. For each MR sequence and reading method, the sensitivity and specificity were estimated nonparametrically, and differences were tested with the McNemar test. Interreader agreement was assessed with a K statistic, and differences were tested with Z and chi2 tests after adjustment for the dependence structure between correlated K statistics. RESULTS: For all sequences, side-by-side evaluation generally yielded higher specificity than independent evaluation, as well as better agreement between readers. CONCLUSION: Observer performance is superior when multiple MR imaging pulse sequences are reviewed simultaneously rather than independently and separately. Side-by-side review of different MR pulse sequences enabled higher accuracy and lower interreader variability for evaluation of the elbow MCL. These findings have implications for the design of studies to optimize MR imaging protocols by using multiple pulse sequences and multiple readers.

Aged↗

Quantitative MR imaging assessment of prostate gland deformation before and during MR imaging-guided brachytherapy.

RATIONALE AND OBJECTIVES: The authors performed this study to document the deformations that occur between pretreatment magnetic resonance (MR) imaging and intraoperative MR imaging during brachytherapy. MATERIALS AND METHODS: MR images obtained at 1.5 and 0.5 T in 10 patients with prostate cancer were analyzed for changes in the shape and substructure of the prostate. Three-dimensional models of the prostate were obtained. The authors measured anteroposterior dimension; total gland, peripheral zone, and central gland volumes; transverse dimension; and superoinferior height. RESULTS: Gland deformations were seen at visual inspection of the three-dimensional models. The anteroposterior dimension of the total gland, central gland, and peripheral zone increased from 1.5- to 0.5-T imaging (median dimension, 4.9, 1.5, and 1.8 mm, respectively), and the increase was greatest in the peripheral zone (P < .05, all comparisons). There was a decrease in the transverse dimension from 1.5- to 0.5-T imaging (median, 4.5 mm; P < .005). The total gland volume and the superoinferior height did not show a statistically significant change. CONCLUSION: There were significant deformations in the shape of the prostate, especially in the peripheral zone, between the two imaging studies. The likely causes of the shape change are differences in rectal filling (endorectal coil used in 1.5-T studies vs obturator in 0.5-T studies) and/or changes in patient position (supine vs lithotomy). These findings suggest that pretreatment images alone may not be reliable for accurate therapy planning. It may be useful to integrate pre-and intraoperative data.

Brachytherapy↗

Etiology of spontaneous perirenal hemorrhage: a meta-analysis.

PURPOSE: We determine the most common etiology of spontaneous perirenal hemorrhage. MATERIALS AND METHODS: A MEDLINE search of the English language literature from 1985 to 1999 revealed 47 publications and 165 cases of spontaneous renal hemorrhage meeting our study entry criteria. These criteria were presentation of raw data including imaging modality, pathological confirmation (123 cases) or long-term (greater than 2 years) (42) imaging and/or clinical followup and no history of recent trauma, anticoagulant use, dialysis or renal transplant. Meta-analysis was performed using analysis of counts derived from contingency tables and pooled and stratified analysis. RESULTS: Hemorrhage was identified by ultrasound in 56 of 100 cases (56%) and by computerized tomography (CT) in all 135 cases assessed (100%). Etiology was correctly identified with an overall sensitivity and specificity of 0.11 and 0.33 for ultrasound and 0.57 and 0.82 for CT. Angiography in 81 cases revealed active bleeding in 11. The most common etiology of spontaneous renal hemorrhage was benign or malignant neoplasm (101 cases, 61%) with angiomyolipoma being predominant (48) followed closely by renal cell carcinoma (43). Vascular disease was the next most common offender (28 cases, 17%) with polyarteritis nodosa occurring most frequently (20). CONCLUSIONS: The most common cause of spontaneous perirenal hemorrhage is renal neoplasm and approximately 50% of such neoplasms are malignant. CT is the method of choice for evaluation of perirenal hemorrhage, although its sensitivity for detection of underlying etiology is only moderate.

Adolescent↗

Multi-detector row CT urography: comparison of strategies for depicting the normal urinary collecting system.

PURPOSE: To evaluate several protocols for depiction of the urinary collecting system with multi-detector row computed tomographic (CT) urography. MATERIALS AND METHODS: Fifty-one patients with hematuria or a suspicious renal mass underwent CT urography, during which thinly collimated (1-mm) pyelographic phase scanning was performed 8-10 minutes after contrast medium administration. Patients were examined while prone only (n = 17) and while both prone and supine (n = 17) after a 250-mL infusion of normal saline. Each collecting system and ureter was divided into six segments that were assigned opacification scores. All acquisition techniques were compared, and the highest-scoring technique was compared with that in 17 patients who underwent conventional intravenous urography (IVU). Three reconstruction techniques (transverse, coronal, and maximal intensity projection) were also compared. Stratified analysis was performed with the paired two-tailed Student t test to compare opacification scores for both the acquisition techniques and display methods, both individually and in all possible combinations. RESULTS: CT urography with supplemental saline administration, performed with the patient prone or supine, significantly improved mean opacification scores in the distal ureters (right, P =.004; left, P =.006). With this technique, CT urography produced a mean opacification score that was not significantly different from that with IVU in 11 of 12 segments and was significantly better than that with IVU in one of 12 segments (lower left ureter). Mean opacification scores obtained with transverse or coronal displays were equal to or higher than those obtained with maximum intensity projection reconstructions in all segments. CONCLUSION: CT urography with a multi-detector row scanner and supplemental infusion of normal saline reliably displays the opacified urinary collecting system.

Female↗

Providing concept-oriented views for clinical data using a knowledge-based system: an evaluation.

OBJECTIVE: Clinical information systems typically present patient data in chronologic order, organized by the source of the information (e.g., laboratory, radiology). This study evaluates the functionality and utility of a knowledge-based system that generates concept-oriented views (organized around clinical concepts such as disease or organ system) of clinical data. DESIGN: The authors have developed a system that uses a knowledge base of interrelationships between medical concepts to infer relationships between data in electronic medical records. They use these inferences to produce summaries, or views, of the data that are relevant to a specific concept of interest. They evaluated the ability of the system to select relevant information, reduce information overload, and support physician information retrieval. MEASUREMENTS: The sensitivity and specificity of the system for identifying relevant patient information were calculated. Effect on information overload was assessed by comparing the amount of information in each view with the amount of information in the entire record. Information retrieval accuracy and cost (time) were used to measure the effect of using concept-oriented views on the efficiency and effectiveness of retrievals. RESULTS: The sensitivity and specificity of the system for identifying relevant clinical information were generally in the range of 70 to 80 percent. Concept-oriented views are effective in reducing the amount of information retrieved (over 80 percent reduction) and, compared with source-oriented views, are able to improve physician retrieval accuracy (p=0.04). CONCLUSION: Computer-generated, concept-oriented views can be used to reduce clinician information overload and improve the accuracy of clinical data retrieval.

Artificial Intelligence↗