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Approaches to the diagnosis of gut neuroendocrine tumors: the last word (today).

Because SRS identifies 90% of hepatic metastatic disease and the addition of other studies (ultrasonography, C.T. MRI, and selective mesenteric angiography) identities only 4% more, the identification of a primary lesion with SRS obviates for the most part the use of further investigations. If SRS is negative, additional studies should only be undertaken if surgery is contemplated. Because SRS may only localize 60%-70% of primary gut NETs, an additional 10%-15% may be identified by undertaking additional studies. The most sensitive test, STIR-MRI, should be undertaken next, but because it is not widely available, pancreatic protocol CT scan is almost as effective in identification of a primary lesion. If a primary gastrinoma cannot be identified by SRS or STIR-MRI, endoscopic ultrasonography should be undertaken because duodenal gastrinomas are often minute and multicentric. A similar strategy applies for insulinomas because up to 40% cannot be located by SRS and the majority are located in the pancreatic head. Thus, STIR-MRI followed by endoscopic ultrasonography is the most appropriate course. Although calcium provocation-angiography is highly effective in the identification of insulinomas, it is significantly more invasive and should be used only as a last resort. Of particular interest is the observation that in the study of gastrinomas, SRS altered clinical management in almost 50% of patients. This reflected the ability of SRS not only to identify the primary tumor location but clarify equivocal localization results generated by conventional imaging studies. It thus seems that the simplicity, superior sensitivity, high specificity, and cost-effectiveness of SRS mandate that it be the imaging modality in patients with gastrinomas. Because the cost of an SRS is $1800 and may obviate the need for multiple other topographic studies that are at least as expensive, the fiscal dictates further warrant the use of this study as the initial topographic investigation. These observations are probably applicable to all gut NETs, although the likelihood of primary identification in the instance of insulinoma patients may be somewhat less. The timely and cost-effective establishment of the type of NET, its primary site, and the detection metastatic spread will enable determination of the appropriate management strategy.

Algorithms↗

Locally advanced small-bowel adenocarcinoma missed primarily by capsule endoscopy but diagnosed by push enteroscopy.

Wireless-capsule-endoscopy is a new painless method that is able both to visualize the entire small bowel and to detect even small lesions. We report here the case of a patient in whom a locally advanced small-bowel adenocarcinoma was initially missed on capsule endoscopy, but was diagnosed by subsequent push enteroscopy. Capsule endoscopy was carried out in a 47-year-old patient with a history of obscure gastrointestinal bleeding, iron-deficiency anemia, and a lack of symptoms suggestive of stenosis. The capsule imaging revealed angiodysplasias in the jejunum, but no other abnormalities. Push enteroscopy was carried out to allow argon plasma coagulation treatment of the angiodysplasias that had been detected; it revealed a polypoid tumor 20 mm in diameter at 150 cm from the incisors, with the capsule endoscope still located proximal to the tumor and with its optical dome turned towards the push enteroscope. Clinical staging and subsequent surgical resection showed a locally advanced adenocarcinoma (pT4, pN0 (0/7), pMx, G3).[nl]Small-bowel tumors within the reach of push enteroscopy may be missed by capsule endoscopy. Although wireless capsule endoscopy is a major advance in the investigation of the small bowel, well-designed clinical studies still need to define the precise algorithm for diagnostic work-up of suspected small-bowel diseases.

Adenocarcinoma↗

Pseudouveitis--analysis of cases misdiagnosed as posterior uveitis.

PURPOSE: Analysis of non-uveitic entities that were referred as posterior uveitis to a uveitis referral center. METHODS: We came across and analyzed 32 cases of non-uveitic entities (1.12%) that had been misdiagnosed and referred as posterior uveitis out of 2846 outpatient cases of posterior uveitis registered from 1990 to June 2002. The final diagnosis was achieved by history, slit-lamp biomicroscopy, meticulous fundus evaluation, imaging, and ancillary studies. RESULTS: The finally diagnosed 32 non-uveitic entities that mimicked posterior uveitis were multiple leak central serous retinopathy (n = 8; 25%), choroidal neovascular membrane (n = 6; 18.75%), typical central serous retinopathy (n = 4; 12.5%), dry form of age-related macular degeneration (n = 3; 9.3%), retinitis pigmentosa (n = 3; 9.3%), heredomacular degeneration (n = 3; 9.3%), myelinated nerve fibers (n = 2; 6.2%), malignant melanoma of the choroid (n = 1; 3.1%), old spontaneously reattached retinal detachment (n = 1; 3.1%), and subhyaloid hemorrhage (n = 1; 3.1%). CONCLUSION: The purpose of the study was to underline the fact that there are some non-uveitic entities that mimic posterior uveitis and that an ophthalmologist can be deceived. The study highlights the problems diagnosing posterior uveitis and presents an algorithm of diagnostic approach to avoid misdiagnosis.

Adult↗

Climacteric obesity: from genesis to clinic.

The etiology of obesity is multifactorial and still unclear. Genetic factors play a significant role and include several gene candidates: polymorphisms of genes for ss(2)-adrenoreceptor, resistin, estrogen receptor-a and peroxisome proliferator-activated receptor-gamma. Moreover, peptides regulating hunger and satiety, e.g. leptin, galanin, cholecystokinin and neuropeptide Y, and altered nutritional patterns have been implicated. Also, factors associated with aging, e.g. decreased levels of growth hormone and dehydroepiandrosterone, and the activity of the sympathetic nervous system (resting metabolism and thermogenesis) cannot be disregarded. Participation of the sex steroids and inflammatory factors has also been postulated in the etiology of obesity. Three phenotypes of obesity are postulated; however, the visceral (abdominal) phenotype is typical of postmenopausal women and is characterized by several metabolic disorders with high risks of diabetes mellitus type 2 and cardiovascular disease. On the basis of personal experience and data from evidence-based medicine, diagnostic-therapeutic algorithms of climacteric obesity are presented.

Algorithms↗

Incremental beamwise backprojection using geometrical symmetries for 3D PET reconstruction in a cylindrical scanner geometry.

Cho et al have proposed a fast backprojection scheme for parallel beam geometries, the incremental algorithm, which performs backprojection on a ray-by-ray (beam-by-beam) basis as opposed to a pixel-by-pixel approach. We present an extension of this incremental, beamwise, backprojection algorithm to the case of volume reconstruction of data acquired by a cylindrical, multiring positron tomograph. Use is made of geometrical symmetries of the image volume. This method results in a twelve-fold reduction of execution time compared with a straightforward, voxel-driven implementation of the same interpolation equations.

Algorithms↗

Use of a priori information in estimating tissue resistivities--application to measured data.

A statistically constrained minimum mean squares error estimator (MiMSEE) has been shown to be useful in estimating internal resistivity distribution by the use of simulated data. In this study, the performance of the MiMSEE algorithm is tested by using measured data from resistor phantoms. The MiMSEE uses a priori information on body geometry, electrode position, statistical properties of tissue resistivities, instrumentation noise and linearization error to calculate the optimum inverse matrix which maps the surface potentials to unknown regional resistivities. In this study, the MiMSEE is also constrained with the variance-covariance of the modelling error to improve the estimation accuracy. The data are obtained from two different phantom geometries, namely five-region and thorax. Using the measured data, the estimations are realized and errors are calculated. Then, the results are compared with the results obtained by using a conventional least squares error estimator (LSEE). The five-region model results show similarity with the simulation study results of Baysal and Eyüboğlu. On the thorax model, the total estimation error is 34.2% with the MiMSEE compared with 856% with the LSEE. It is concluded that the MiMSEE is more robust than the LSEE and applicable to measured data.

Algorithms↗

Dynamics of errors in 3D motion estimation and implications for strain-tensor imaging in acoustic elastography.

For the purpose of quantifying the noise in acoustic elastography, a displacement covariance matrix is derived analytically for the cross-correlation based 3D motion estimator. Static deformation induced in tissue from an external mechanical source is represented by a second-order strain tensor. A generalized 3D model is introduced for the ultrasonic echo signals. The components of the covariance matrix are related to the variances of the displacement errors and the errors made in estimating the elements of the strain tensor. The results are combined to investigate the dependences of these errors on the experimental and signal-processing parameters as well as to determine the effects of one strain component on the estimation of the other. The expressions are evaluated for special cases of axial strain estimation in the presence of axial, axial-shear and lateral-shear type deformations in 2D. The signals are shown to decorrelate with any of these deformations, with strengths depending on the reorganization and interaction of tissue scatterers with the ultrasonic point spread function following the deformation. Conditions that favour the improvements in motion estimation performance are discussed, and advantages gained by signal companding and pulse compression are illustrated.

Acoustics↗

Medical image registration.

Radiological images are increasingly being used in healthcare and medical research. There is, consequently, widespread interest in accurately relating information in the different images for diagnosis, treatment and basic science. This article reviews registration techniques used to solve this problem, and describes the wide variety of applications to which these techniques are applied. Applications of image registration include combining images of the same subject from different modalities, aligning temporal sequences of images to compensate for motion of the subject between scans, image guidance during interventions and aligning images from multiple subjects in cohort studies. Current registration algorithms can, in many cases, automatically register images that are related by a rigid body transformation (i.e. where tissue deformation can be ignored). There has also been substantial progress in non-rigid registration algorithms that can compensate for tissue deformation, or align images from different subjects. Nevertheless many registration problems remain unsolved, and this is likely to continue to be an active field of research in the future.

Algorithms↗

A novel four-dimensional image registration method for radionuclide therapy dosimetry.

A novel method for registering sequential SPECT scans (4DRRT) is described, whereby all sequential scans acquired in the course of a therapy or a pre-therapy tracer study may be registered in one pass. The method assumes that a monoexponential decay function can be fitted to the series of sequential SPECT scans. Multiple volumes, presenting with different decay rates, are fitted with different mono-exponential functions. The MSSE (mean sum of squared errors in the least-squares fit algorithm), over the volume used for registration, is the cost function minimized at registration. Simulated data were used to assess the effect of thresholding, smoothing, noise and the multi-exponential nature of the four-dimensional (4D) SPECT studies on the performance of 4DRRT, resulting in three-dimensional (3D) residual registration errors <3.5 mm. The 4DRRT method was then compared to the following 3D registration methods: the correlation coefficient, the sum of absolute differences, the variance of image ratios and the mutual information. The comparisons, using both simulated and clinical data, were based on the standard deviation of the effective decay time distribution, generated from the registered 4D dataset, and showed that image registration using 4DRRT is simpler and more robust compared to the 3D techniques, especially when multiple tumour sites with different decay rates are present.

Algorithms↗

Two-dimensional transmitted dose measurements using a scanning liquid ionization chamber EPID.

The use of a scanning liquid ionization chamber electronic portal imaging device (SLIC-EPID) for two-dimensional transmitted dosimetry was investigated and a calibration method was developed using extended dose range (EDR2) film. In order to convert pixel value to dose, the acquired SLIC-EPID pixel values were calibrated using an ionization chamber on the central axis. The relationship between pixel values, dose rate and absorbed dose was identified for various linac output repetition rates. To correct EPIs for dosimetric purposes, the off-axis ratio of dose profiles measured by EPIDs and EDR2 film was used to derive correction factor matrices (CFMs) for a range of source-to-EPID distances (SEDs). The corrected relative dose maps acquired for different conditions, including open and wedged fields, measured using a SLIC-EPID were compared with EDR2 film images using a gamma function algorithm with distance to agreement (DTA) = 2.5 mm and dose difference (DeltaDmax) = 1% criteria. The results showed that (a) for two-dimensional dosimetric purposes, EPIDs must be calibrated using appropriate two-dimensional correction factors and (b) SLIC-EPIDs can be used to measure the transmitted dose with good accuracy.

Algorithms↗

Shear modulus reconstruction in dynamic elastography: time harmonic case.

This paper presents a direct inversion approach for reconstructing the elastic shear modulus in soft tissue from dynamic measurements of the interior displacement field during time harmonic excitation. The tissue is assumed to obey the equations of nearly incompressible, linear, isotropic elasto-dynamics in harmonic motion. A finite element discretization of the governing equations is used as a basis, and a procedure is outlined to eliminate the need for boundary conditions in the inverse problem. The hydrostatic stress (pressure) is also reconstructed in the process, and the effect of neglecting this term in the governing equations, which is common practice, is considered. The approach does not require iterations and can be performed on sub-regions of the domain resulting in a computationally efficient method. A sensitivity study is performed to investigate the detectability of abnormal regions of different size and shear modulus contrast from the background. The algorithm is tested on simulated data on a two-dimensional domain, where the data are generated on a very fine mesh to get a near exact solution, then downsampled to a coarser mesh that is similar to the spatial discretization of actual data, and noise is added. Results showing the effect of the hydrostatic stress term and noise are presented. A reconstruction using MR measured experimental data involving a tissue-mimicking phantom is also shown to demonstrate the algorithm.

Algorithms↗

An Overview of Red Breast Syndrome: A Qualitative Systematic Review of the Literature and a Single-Center Case Series.

Red breast syndrome (RBS) is an uncommon inflammatory complication that may occur following implant-based breast reconstruction and can clinically mimic surgical-site infection. This qualitative systematic review, based on comprehensive PubMed and Scopus searches, summarizes the existing literature on RBS, focusing on its etiology, clinical presentation, diagnostic characteristics, and therapeutic approaches following breast reconstruction using acellular dermal matrices (ADMs). A management protocol is proposed based on available data, and a single-center case series is presented from our Hospital, including patients who developed RBS after direct-to-implant reconstruction with ADM between January 2022 and December 2024. Twenty-nine studies met the inclusion criteria, comprising case reports, case series, and retrospective or prospective cohort studies. The reported incidence of RBS ranged from 0% to 29.6%. Proposed etiologies include endotoxin contamination, residual cellular debris, delayed hypersensitivity reactions, and lymphatic or vascular impairment of mastectomy flaps. Most reports described localized erythema confined to the area of the ADM, with normal inflammatory markers and negative imaging findings, whereas antibiotic therapy frequently failed to achieve improvement. Corticosteroids represented the most consistently effective treatment, although some cases required ADM removal or replacement. In our institutional case series (n = 8), symptom onset occurred between 4 weeks and 7 months postsurgery. Inflammatory markers remained within normal limits, imaging rarely demonstrated fluid collections, and symptoms resolved within days to weeks with corticosteroid therapy or conservative management. This review consolidates current evidence, proposes a diagnostic-therapeutic algorithm and highlights the need for prospective investigations and manufacturer-level endotoxin testing to elucidate pathogenesis and optimize clinical management. Level of Evidence: 2 (Risk) For image description, please refer to the figure legend and surrounding text.

Humans↗

Field evaluation of rapid HIV serologic tests for screening and confirming HIV-1 infection in Honduras.

OBJECTIVE: To determine the ability of simple, rapid tests to identify HIV-1 antibody-positive specimens in field settings using the World Health Organization's (WHO) alternative testing strategies. DESIGN: Three-phase evaluation of simple, rapid assays using banked specimens and prospectively collected serum specimens at regional hospitals and rural clinics. METHODS: Seven test (Retrocell, Genie, HIVCHEK, SUDS HIV-1, Testpack, Serodia HIV-1, and HIV-1/2 RTD) were evaluated and results compared with standard enzyme immunoassay (EIA) and Western blot results (phase 1). Further evaluation consisted of prospective testing of routine specimens at regional (phase 2; n = 900) and rural, peripheral laboratories (phase 3; n = 1266) throughout Honduras with selected assays. RESULTS: Sensitivity and specificity were calculated for each assay and combination of assays for each phase to evaluate the effectiveness of the WHO alternative testing strategies. All tests in all phases were > 99% sensitive after correcting for technical errors, with two exceptions (SUDS, phase 1; HIVCHEK, phase 3). In phase 3, where the testing algorithm was diagnostic, several combinations of assays were 100% sensitive and specific using WHO strategy II or III. For the Honduras Ministry of Health, the combination of Retrocell and Genie was found to be equally sensitive, more specific (no indeterminate results), and less expensive than EIA/Western blot. CONCLUSION: Combinations of rapid, simple HIV antibody assays provide sensitivity and specificity performance comparable to EIA/Western blot. Application of these combinations in the WHO alternative testing strategies provides an inexpensive and effective method of determining HIV status. Assay combinations using these strategies can be easily performed in small, rural laboratories and have been implemented in routine HIV screening in Honduras.

AIDS Serodiagnosis↗

Unwrapping Hartmann-Shack images from highly aberrated eyes using an iterative B-spline based extrapolation method.

PURPOSE: When the wavefront aberrations of the eye are measured with a Hartmann-Shack (HS) sensor, the resulting spot pattern must be unwrapped, that is, for each lenslet the corresponding spot must be identified. This puts a limitation on the measurable amount of aberrations. To extend the range of an HS sensor, a powerful unwrapping algorithm has been developed. METHODS: The unwrapping algorithm starts by connecting the central HS spots to the central lenslets. It then fits a B-spline function through a least squares estimate to the deviations of the central HS spots. This function is then extrapolated to find the expected locations of HS spots for the unconnected lenslets. The extrapolation is performed gradually in an iterative manner; the closest unconnected lenslets are extrapolated and connected, and then the B-spline function is least squares fitted to all connected HS spots and extrapolated again. RESULTS: Wavefront aberrations from eyes with high aberrations can be successfully unwrapped with the developed algorithm. The dynamic range of a typical HS sensor increases 3.5 to 13 times compared with a simple unwrapping algorithm. CONCLUSIONS: The implemented algorithm is an efficient unwrapping tool and allows the use of lenslets with a low numerical aperture and thus gives a relatively higher accuracy of measurements of the ocular aberrations.

Algorithms↗

An optimal rotator for iterative reconstruction.

For implementations of iterative reconstruction algorithms that rotate the image matrix, the characteristics of the rotator may affect the reconstruction quality. Desirable qualities for the rotator include: 1) preservation of global and local image counts; 2) accurate count positioning; 3) a uniform and predictable amount of blurring due to the rotation. A new rotation method for iterative reconstruction is proposed which employs. Gaussian interpolation. This method was compared to standard rotation techniques and is shown to be superior to standard techniques when measured by these qualities. The computational cost was demonstrated to be only slightly more than bilinear interpolation.

Algorithms↗

A geometric snake model for segmentation of medical imagery.

In this note, we employ the new geometric active contour models formulated in [25] and [26] for edge detection and segmentation of magnetic resonance imaging (MRI), computed tomography (CT), and ultrasound medical imagery. Our method is based on defining feature-based metrics on a given image which in turn leads to a novel snake paradigm in which the feature of interest may be considered to lie at the bottom of a potential well. Thus, the snake is attracted very quickly and efficiently to the desired feature.

Algorithms↗

Sampling concerns in scanline algorithms.

This paper investigates the problem of providing suitable interpolation for scanline algorithms. These algorithms are of interest, as they are parallelizable. A structure for analyzing the problem is given. The theory in regard to resampling is developed in the context of a scanline algorithm for image rotation. The theory is compared to results arrived at in practice. Alternative interpolation schemes are discussed, including the use of a cubic Hermite interpolator. The paper points to theoretical limitations of scanline algorithms.

Algorithms↗

Edge detection in medical images using a genetic algorithm.

An algorithm is developed that detects well-localized, unfragmented, thin edges in medical images based on optimization of edge configurations using a genetic algorithm (GA). Several enhancements were added to improve the performance of the algorithm over a traditional GA. The edge map is split into connected subregions to reduce the solution space and simplify the problem. The edge-map is then optimized in parallel using incorporated genetic operators that perform transforms on edge structures. Adaptation is used to control operator probabilities based on their participation. The GA was compared to the simulated annealing (SA) approach using ideal and actual medical images from different modalities including magnetic resonance imaging (MRI), computed tomography (CT), and ultrasound. Quantitative comparisons were provided based on the Pratt figure of merit and on the cost-function minimization. The detected edges were thin, continuous, and well localized. Most of the basic edge features were detected. Results for different medical image modalities are promising and encourage further investigation to improve the accuracy and experiment with different cost functions and genetic operators.

Algorithms↗