Publications by authors named "JL Boes"

Parametric response mapping (PRM) of inspiration and expiration computed tomography (CT) images improves the radiological phenotyping of chronic obstructive pulmonary disease (COPD). PRM classifies individual voxels of lung parenchyma as normal, emphysematous, or nonemphysematous air trapping. In this study, bias and noise characteristics of the PRM methodology to CT and clinical procedures were evaluated to determine best practices for this quantitative technique.

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Bone metastasis occurs for men with advanced prostate cancer which promotes osseous growth and destruction driven by alterations in osteoblast and osteoclast homeostasis. Patients can experience pain, spontaneous fractures and morbidity eroding overall quality of life. The complex and dynamic cellular interactions within the bone microenvironment limit current treatment options thus prostate to bone metastases remains incurable.

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Genomic amplification of the gene encoding and phosphorylation of the protein FADD (Fas-associated death domain) is associated with poor clinical outcome in lung cancer and in head and neck cancer. Activating mutations in the guanosine triphosphatase RAS promotes cell proliferation in various cancers. Increased abundance of phosphorylated FADD in patient-derived tumor samples predicts poor clinical outcome.

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Rationale And Objectives: The longitudinal relationship between regional air trapping and emphysema remains unexplored. We have sought to demonstrate the utility of parametric response mapping (PRM), a computed tomography (CT)-based biomarker, for monitoring regional disease progression in chronic obstructive pulmonary disease (COPD) patients, linking expiratory- and inspiratory-based CT metrics over time.

Materials And Methods: Inspiratory and expiratory lung CT scans were acquired from 89 COPD subjects with varying Global Initiative for Chronic Obstructive Lung Disease (GOLD) status at 30 days (n = 13) or 1 year (n = 76) from baseline as part of the Subpopulations and Intermediate Outcome Measures in COPD Study (SPIROMICS) clinical trial.

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The management of bronchiolitis obliterans syndrome (BOS) after hematopoietic cell transplantation presents many challenges, both diagnostically and therapeutically. We developed a computed tomography (CT) voxel-wise methodology termed parametric response mapping (PRM) that quantifies normal parenchyma, functional small airway disease (PRM(fSAD)), emphysema, and parenchymal disease as relative lung volumes. We now investigate the use of PRM as an imaging biomarker in the diagnosis of BOS.

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Imaging biomarkers capable of early quantification of tumor response to therapy would provide an opportunity to individualize patient care. Image registration of longitudinal scans provides a method of detecting treatment associated changes within heterogeneous tumors by monitoring alterations in the quantitative value of individual voxels over time, which is unattainable by traditional volumetric-based histogram methods. The concepts involved in the use of image registration for tracking and quantifying breast cancer treatment response using parametric response mapping (PRM), a voxel-based analysis of diffusion-weighted magnetic resonance imaging (DW-MRI) scans, are presented.

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Rationale: Treatment of glioblastoma (GBM) remains challenging due in part to its histologic intratumoral heterogeneity that contributes to its overall poor treatment response. Our goal was to evaluate a voxel-based biomarker, the functional diffusion map (fDM), as an imaging biomarker to detect heterogeneity of tumor response in a radiation dose escalation protocol using a genetically engineered murine GBM model.

Experimental Design: Twenty-four genetically engineered murine GBM models [Ink4a-Arf(-/-)/Pten(loxp/loxp)/Ntv-a RCAS/PDGF(+)/Cre(+)] were randomized in four treatment groups (n = 6 per group) consisting of daily doses of 0, 1, 2, and 4 Gy delivered for 5 days.

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Chronic obstructive pulmonary disease (COPD) is increasingly being recognized as a highly heterogeneous disorder, composed of varying pathobiology. Accurate detection of COPD subtypes by image biomarkers is urgently needed to enable individualized treatment, thus improving patient outcome. We adapted the parametric response map (PRM), a voxel-wise image analysis technique, for assessing COPD phenotype.

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Loss of bone mass due to disease, such as osteoporosis and metastatic cancer to the bone, is a leading cause of orthopedic complications and hospitalization. Onset of bone loss resulting from disease increases the risk of incurring fractures and subsequent pain, increasing medical expenses while reducing quality of life. Although current standard CT-based protocols provide adequate prognostic information for assessing bone loss, many of the techniques for evaluating CT scans rely on measures based on whole-bone summary statistics.

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We demonstrate the ability to register easily and accurately volumetric ultrasound scans without significant data preprocessing or user intervention. Two volumetric ultrasound breast scan data sets were acquired from two different patients with breast cancer. Volumetric scan data were acquired by manually sweeping a linear array transducer mounted on a linear slider with a position encoder.

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An automated retrospective image registration based on mutual information is adapted to a multislice functional magnetic resonance imaging (fMRI) acquisition protocol to provide accurate motion correction. Motion correction is performed by mapping each slice to an anatomic volume data set acquired in the same fMRI session to accommodate inter-slice head motion. Accuracy of the registration parameters was assessed by registration of simulated MR data of the known truth.

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The Million Clinical Multiaxial Inventory-III (MCMI-III) recently was introduced to replace and update the MCMI-II. A sample of 97 psychiatric inpatients were administered the MCMI-III shortly following admission, and again 7-10 days later. Changes in the personality and symptom scales generally paralleled those found in previous work with the MCMI-II, although the mean retest interval was considerably shorter than in the earlier study.

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This study contrasts self-reported symptomatology on the MCMI-III of a sample of 97 psychiatric patients admitted directly to inpatient care with a sample of 75 patients admitted directly to day hospital treatment. The predominant Axis I diagnosis of patients in both samples was an affective disorder. Effect sizes of the degree of change from admission to retesting one week later were calculated and fell generally within the medium effect size range.

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Differences between short versus longer lengths of stay on inpatient change scores were evaluated. Test-retest scores of 98 adult psychiatric inpatients tested with the MCMI-II in 1989 were compared with test-retest scores of 97 adult inpatients tested with the MCMI-III in 1995. The two samples of patients were comparable on demographic and diagnostic variables.

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This paper applies and evaluates an automatic mutual information-based registration algorithm across a broad spectrum of multimodal volume data sets. The algorithm requires little or no pre-processing, minimal user input and easily implements either affine, i.e.

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Since the Global Assessment of Functioning Scale (GAF) was introduced in DSM-III-R in 1987, it has been widely used, but minimally researched. This report provides information concerning the use of the GAF in routine clinical practice. Clinicians rated adult inpatients, adult day hospital patients, and adolescent inpatients at admission and discharge from psychiatric treatment.

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The majority of adults over the age of 65 y develop osteoarthritis (OA), a joint disease characterized by degeneration of articular cartilage and subchondral sclerosis. Early in the disease, the articular cartilage surface begins to change histologically from a smooth to a rough or fibrillated appearance. A prerequisite for any chondroprotective pharmacological intervention is detection of OA in its preclinical phase.

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An automated multimodal warping based on mutual information metric (MI) as a mapping cost function is demonstrated. Mutual information (I) is calculated from a two-dimensional (2D) gray scale histogram of an image pair, and MI (= -I) provides a matching cost function which can be effective in registration of two- or three-dimensional data sets independent of modality. Most histological image data, though information rich and high resolution, present nonlinear deformations due to the specimen sectioning and need reconstitution into deformation-corrected volumes prior to geometric mapping to an anatomical volume for spatial analyses.

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Two rating scales were compared for 200 adult psychiatric inpatients at admission to, and discharge from, the hospital. Patients rated their own psychological symptoms on the Brief Symptom Inventory (BSI), and clinicians rated patients' psychological, social, and occupational functioning on the Global Assessment of Functioning (GAF) Scale. Analyses indicated no significant relationships between symptom distress reported by patients and global functioning rated by clinicians.

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This study investigated the factor structure of the Brief Symptom Inventory (BSI; Derogatis, 1992) for adult and adolescent psychiatric inpatients. The BSI was administered to 217 adults and 188 adolescents at admission and discharge from a private psychiatric hospital. Principal components factor analyses revealed that most variance among dimension scores was accounted for by one unrotated factor.

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In this study the Brief Symptom Inventory (BSI; Derogatis & Spencer, 1982) was administered to 89 males and 128 females at admission and discharge from a private psychiatric hospital. For mean scores, statistically significant decreases were observed on all BSI scales and global indices. Effect sizes ranged from high medium to large.

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The utility of the Brief Symptom Inventory (BSI) as an outcome measure for adolescent psychiatric inpatients was evaluated. The BSI was administered to 88 male and 100 female psychiatric inpatients at admission and discharge. There were statistically significant mean score changes from pretest to posttest on most BSI indices, with effect sizes ranging between small and medium.

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Rationale And Objectives: Automated liver surface determination in abdominal computed tomography scans, currently difficult to achieve, is of interest to determine liver location and size for various medical applications, including radiation therapy treatment planning, surgical planning, and oncologic monitoring. The authors propose to facilitate automation by the addition of a priori shape information in the form of a liver model.

Methods: The normalized geometric liver model is generated by averaging outlines from a set of normal liver studies previously registered using thin-plate spline warping.

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Recent methods of magnetic resonance imaging involve the placement of a grid of planes of saturation over the imaging plane; distortion of the grid corresponds to tissue displacement in two dimensions. An extension to this method that allows measurement of motion in the third dimension involves a second acquisition that tilts the grid, allowing analysis of motion normal to the imaging plane. A rotating phantom was used to verify the accuracy of the motion measurements, and the technique was applied to the heart wall and skeletal muscle.

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