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Results for “pathological imaging data”

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PubMed1999

[The diagnostic value of modelling the urinary bladder wall in women with pelvis minor tumors].

Basing on the authors' own observations and literature data diagnostic value of different imaging techniques was presented in differentiating pathologic changes deduced from deformations of urinary bladder walls. Modelling of the walls has proved to enable the localisation of the tumour without determining its character. The degree of modelling of urinary bladder wall, however, is proportionate to the size of tumour. In a considerable number of cases it was possible to exclude infiltration of the bladder wall or to show overgrowing it by neoplastic mass.

Adolescent↗

PubMed2004

Bladder tumors: dynamic contrast-enhanced axial imaging, multiplanar reformation, three-dimensional reconstruction and virtual cystoscopy using helical CT.

BACKGROUND: There have been few studies to evaluate the effects of helical CT on bladder tumor. This study was to evaluate the clinical applications of helical CT dynamic contrast-enhanced axial imaging, multiplanar reformation (MPR), three-dimensional (3D) reconstruction and virtual cystoscopy (CTVC) in bladder tumors. METHODS: The precontrast and four-phase postcontrast helical CT scans were performed in 42 patients with bladder tumors confirmed by conventional cystoscopy and pathology. MPR, 3D and CTVC images were generated from the volumetric data of the excretory phase. The results were then compared with the findings of conventional cystoscopy and surgery in a double-blinded mode. RESULTS: The sensitivity of the axial, 3D and CTVC images in detecting the bladder tumors were 90.8%, 76.9% and 95.4% respectively. The dynamic contrast-enhanced axial images could provide excellent intramural and extravesical information, and the accuracy in preoperative tumor staging was 87.7%. MPR could directly demonstrate the origin and extravesical invasions of the tumors and their relation to the ureter. 3D and CTVC images were useful for displaying the surface morphology of the tumor and the relationship between the tumor and the ureteric orifices, whereas CTVC could depict the tumors smaller than 5 mm that were not seen on the axial images. CONCLUSIONS: The combination of axial, MPR, 3D and CTVC images with helical CT can provide comprehensive information on bladder tumor.

Adult↗

PubMed1989

[Tumors of the pineal region: MRI aspects. Apropos of 20 cases].

MR imaging (0,5 T) was performed in twenty patients with a tumor of the pineal region (17 pathological correlations). To establish the place of this technique, MR imaging data are studied. There is a great variety of tumor types, but the signal of the tumor is usually non specific. The main indication of MR imaging appears to be the evaluation of the extension of the tumor before surgery.

Adolescent↗

PubMed1999

Disorders of cortical formation: radiologic-pathologic correlation.

The advent of newer imaging techniques, such as high resolution MR imaging and surface reconstructions of 3-dimensional data sets, has led to a greater in-vivo understanding of cortical malformations of the brain. The disorders of cortical formation are illustrated with routine imaging, surface reconstruction, and pathologic specimens.

Brain↗

PubMed1999

[Virtual endoscopy of the upper urinary tract based on contrast-enhanced MR urography data sets].

PURPOSE: To investigate the feasibility of reconstructing a virtual endoscopy from MR imaging data sets of the upper urinary tract. METHOD: The data obtained from 28 contrast-enhanced MR urographic examinations (5 normal; 23 pathologic) were post-processed to reconstruct a virtual ureterorenoscopy (VURS) using a threshold image segmentation. The visualization of the upper urinary tract was based on the acquisition of T1-weighted 3D gradient-echo sequences after intravenous administration of gadolinium-DTPA and a prior injection of low-dose furosemide. RESULTS: The employed MR urography technique created in all 28 cases a complete and strong contrast enhancement of the urinary tract. These 3D sequence data allowed the reconstruction of a VURS, even when the collecting system was not dilated. The best accuracy was provided by the MR urography sequences with the smallest voxel size. Moreover, the data acquisition based on a breath-hold technique has proved superior to that using a respiratory gating. Inside the renal pelvis, all calices could be assessed by turning the virtual endoscope in the appropriate direction. The visualization of the ureteral orifices in the bladder was also possible. All filling defects that were diagnosed by MR urography could be evaluated from the endoluminal view using the VURS. The exact characterization of the lesions based only on the assessment of the surface structure was difficult. CONCLUSION: A virtual endoscopy of the upper urinary tract can be successfully reconstructed using the data sets of high-resolution 3D MR urography sequences.

Adult↗

PubMed1985

Diagnosis and management of cavernous hemangioma of the liver.

Cavernous hemangiomas are the most common benign tumors of the liver, which are now seen more often thanks to common use of newer imaging techniques. A review of the literature on cavernous hemangiomas of the liver, including our own experience with 14 cases, provides data as a touchstone for discussion of the incidence, etiology, symptoms, pathology, diagnosis including ultrasound, radionuclide imaging, computed tomography and angiography, management including resection, hepatic artery ligation, radiation and corticosteroid, and the natural history of these lesions. The author concludes that surgical resection of cavernous hemangiomas should be undertaken with due concern for the relation between the severity of symptoms and the operative risks involved.

Adrenal Cortex Hormones↗

PubMed2007

[Helical double-phase CT scan imaging features of hepatocellular carcinoma and pathology of false-positive lesions].

BACKGROUND & OBJECTIVE: The helical double-phase CT scan imaging features of hepatocellular carcinoma (HCC) overlap those of other hepatic lesions. This study was to investigate the helical double-phase CT scan imaging features of HCC to improve diagnosis accuracy. METHODS: Double-phase CT data and pathologic data of 52 HCC patients, received resection in Cancer Center of Sun Yat-sen University from Dec. 2000 to Dec. 2002, were analyzed. The double-phase CT features of HCC lesions were summarized. The pathology of false-positive lesions was analyzed. RESULTS: CT scan showed 56 lesions in the 52 patients: 51 were cancer lesions, including 49 HCC lesions and 2 mixed lesions of HCC and cholangioma, 5 were false-positive lesions. Arterial phase of these HCC lesions showed obvious heterogeneous enhancement, and the portal vein phase showed heterogeneous low dense. Necrosis was seen in all massive lesions, but was seldom seen in nodular and small lesions. Most lesions had clear borders and amicula. The pathologic diagnoses of the 5 false-positive lesions were hepatic cirrhosis with hepatocellular nodular hyperplasia, regenerative nodule, hepatic cirrhosis, bile duct calculus companied with inflammatory reaction, and fibrosis hyperplasia. CONCLUSIONS: Helical double-phase CT scan can be used to diagnose typical HCC lesions. There are no obvious differences in helical double-phase CT scan between HCC lesions and false-positive lesions. The diagnosis of HCC must be based on clinical information, follow-up or biopsy.

Adult↗

PubMed2005

MR findings of nine cases of palatal tumor.

PURPOSE: To assess the magnetic resonance imaging (MRI) findings of pathologically confirmed palatal tumors. METHODS: Nine cases of palatal tumor were studied. Clinical data, MRI findings, and pathological diagnoses were evaluated. RESULTS: Five cases were tumors of the hard palate and four of the soft palate. Signal intensity on T1-weighted images varied, and hyperintensity was observed on T2-weighted images. Adenoid cystic carcinoma and diffuse large B cell lymphoma showed homogenous signal intensity. Other tumors showed heterogeneous signal intensities. On dynamic contrast analysis, malignant pleomorphic adenoma, adenoid cystic carcinoma, diffuse large B cell lymphoma, and peripheral T cell lymphoma showed early enhancement. On post-contrast T1-weighted images, hard palate pleomorphic adenoma, malignant pleomorphic adenoma, adenoid cystic carcinoma, diffuse large B cell lymphoma, and peripheral T cell lymphoma showed strong enhancement. Although the borders of the tumors were classified as clear in 6 cases treated surgically, macroscopic and microscopic borders of the tumors were unclear. Adenoid cystic carcinoma and hard palate diffuse large B cell lymphoma invaded the maxillary bone. CONCLUSION: Magnetic resonance findings of palatal tumor varied in different histologies. Even with a small palpable portion, malignant tumors could directly infiltrate surrounding structures, which demonstrated well on MRI.

Adenoma, Pleomorphic↗

PubMed2006

Corticotroph tumor progression after adrenalectomy in Cushing's Disease: A reappraisal of Nelson's Syndrome.

CONTEXT: Adrenalectomy is a radical treatment for hypercortisolism in Cushing's disease. However, it may lead to Nelson's syndrome, originally defined by the association of a pituitary macroadenoma and high plasma ACTH concentrations, a much feared complication. OBJECTIVE: The objective of the study was to reconsider Nelson's syndrome by investigating corticotroph tumor progression based on pituitary magnetic resonance imaging scan and search for predictive factors. DESIGN: This was a retrospective cohort study. SETTING: The complete medical records of Cushing's disease patients at Cochin Hospital were studied. PATIENTS: Patients included 53 Cushing's disease patients treated by adrenalectomy between 1991 and 2002, without previous pituitary irradiation. MEASUREMENTS: Clinical data, pituitary magnetic resonance imaging data, and plasma ACTH concentrations for all patients and pituitary gland pathology data for 25 patients were recorded. Corticotroph tumor progression-free survival was studied by Kaplan-Meier, and the influence of recorded parameters was studied by Cox regression. INTERVENTION: There was no intervention. RESULTS: Corticotroph tumor progression ultimately occurred in half the patients, generally within 3 yr after adrenalectomy. A shorter duration of Cushing's disease (adjusted hazard ratio: 0.884/yr), and a high plasma ACTH concentration in the year after adrenalectomy [adjusted hazard ratio per 100 pg/ml (22 pmol/liter): 1.069] were predictive of corticotroph tumor progression. In one case, corticotroph tumor progression was complicated by transitory oculomotor nerve palsy. During follow-up, corticotroph tumor progression was associated with the increase of corresponding ACTH concentrations (odds ratio per 100 pg/ml of ACTH variation: 1.055). CONCLUSION: After adrenalectomy in Cushing's disease, one should no longer wait for the occurrence of Nelson's syndrome: modern imaging allows early detection and management of corticotroph tumor progression.

Adolescent↗

PubMed1996

Computer-assisted morphometric analysis of the heart.

OBJECTIVE: To assess the applicability of the image analyzer for morphometric study of cardiomyopathies. STUDY DESIGN: A computer-assisted methodology for the morphometric study of ischemic cardiomyopathy, dilated cardiomyopathy and right ventricular dysplasia. RESULTS: In each heart, 200 nuclear lengths and myocyte diameters, 160 fields for nuclear density, 420 fields for interstitial fibrosis and 350 fields for replacement fibrosis were evaluated. In ischemic cardiomyopathy, the multiple foci of replacement fibrosis of the myocardium, in addition to interstitial fibrosis, appear to be the major cause of ventricular remodelling. In dilated cardiomyopathy the major pathologic processes are myocyte cell death and segmental, replacement and interstitial fibrosis. In right ventricular dysplasia the heart develops congestive failure due to a conspicuous increase in the volume of the right ventricle without an appreciable loss of the number of myocytes. CONCLUSION: The traditional morphometric methods based on test grids for the study of pathologic hearts can be enhanced using an image analyzer. In this way one can study a large area of the myocardium and collect a very large number of data. This may be the method of choice for analyses of pathologic human hearts.

Cardiomyopathies↗

PubMed2002

Automatic "pipeline" analysis of 3-D MRI data for clinical trials: application to multiple sclerosis.

The quantitative analysis of magnetic resonance imaging (MRI) data has become increasingly important in both research and clinical studies aiming at human brain development, function, and pathology. Inevitably, the role of quantitative image analysis in the evaluation of drug therapy will increase, driven in part by requirements imposed by regulatory agencies. However, the prohibitive length of time involved and the significant intraand inter-rater variability of the measurements obtained from manual analysis of large MRI databases represent major obstacles to the wider application of quantitative MRI analysis. We have developed a fully automatic "pipeline" image analysis framework and have successfully applied it to a number of large-scale, multicenter studies (more than 1,000 MRI scans). This pipeline system is based on robust image processing algorithms, executed in a parallel, distributed fashion. This paper describes the application of this system to the automatic quantification of multiple sclerosis lesion load in MRI, in the context of a phase III clinical trial. The pipeline results were evaluated through an extensive validation study, revealing that the obtained lesion measurements are statistically indistinguishable from those obtained by trained human observers. Given that intra- and inter-rater measurement variability is eliminated by automatic analysis, this system enhances the ability to detect small treatment effects not readily detectable through conventional analysis techniques. While useful for clinical trial analysis in multiple sclerosis, this system holds widespread potential for applications in other neurological disorders, as well as for the study of neurobiology in general.

Algorithms↗

PubMed2026

SurvGRN: a multi-feature fusion framework for bladder cancer survival prediction.

Bladder cancer survival outcomes exhibit significant heterogeneity, influenced by multifaceted factors. While digital pathology-based survival models leveraging artificial intelligence show promise, they often overlook complementary data sources. Conversely, imaging lacks cellular detail, and genomics/proteomics entail complexity and cost. To integrate multidimensional data for enhanced survival prediction, we propose SurvGRN, a multi-feature fusion framework. SurvGRN synergistically combines clinical variables, transcriptomics, and digital pathology slides using a gated residual network architecture. Pathological features are extracted via multiple instance learning, while clinical and transcriptomic data are processed as static inputs. These features are dynamically fused using a long short-term memory (LSTM) network for comprehensive survival risk assessment. Evaluated on 400 bladder cancer patients, SurvGRN significantly outperformed existing methods: improving the C-index by 12.6% over DeepMISL; 20.6% and 7.1% over graph-based models (DeepGraphConv and Patch-GCN); and 5.4% and 4.0% over attention-based approaches (Surformer and HVTSurv). Ablation studies confirmed the contributions of pathology features (extracted via ResNet-50 pre-trained on bladder tissue), clinical/transcriptomic data, and the LSTM fusion. SurvGRN also enabled significant stratification of patients into distinct risk cohorts. This work demonstrates that holistic integration of multi-source data through tailored fusion architectures substantially improves bladder cancer survival prediction.

bladder cancer↗

PubMed2003

Magnetic resonance imaging of targeted catheter-based implantation of myogenic precursor cells into infarcted left ventricular myocardium.

OBJECTIVES: This study was designed to test the hypothesis that myocardial implantation of myogenic precursor cells (MPC) loaded with iron oxide can be reliably detected in vivo by cardiac magnetic resonance imaging (MRI). BACKGROUND: In vivo imaging of targeted catheter-based implantation of MPC into infarcted left ventricular (LV) myocardium is unavailable. METHODS: The study was conducted in seven farm pigs (four with anterior myocardial infarction), in which autologous MPC were injected through a percutaneous catheter allowing for LV electromechanical mapping and guided micro-injections into normal and infarcted myocardium. Cardiac MRI was used to detect implanted MPC previously loaded with iron oxide nanoparticles. RESULTS: Magnetic resonance imaging data were compared with LV electromechanical mapping and cross-registered pathology. All 9 injections into normal and 12 injections into locally damaged myocardium were detected on T2-weighted spin echo and inversion-recovery true-fisp MRI (low signal areas) with good anatomical concordance with sites of implantation on electromechanical maps. All sites of injection were confirmed on pathology that showed in all infarct animals iron-loaded MPC at the center and periphery of the infarct as expected from MRI. CONCLUSIONS: Targeted catheter-based implantation of iron-loaded MPC into locally infarcted LV myocardium is accurate and can be reliably demonstrated in vivo by cardiac MRI. The ability to identify noninvasively intramyocardial cell implantation may be determinant for future experimental studies designed to analyze subsequent effects of such therapy on detailed segmental LV function.

Animals↗

PubMed2026

Digital pathology, image analysis, and artificial intelligence in liver disease.

Advances in digital pathology, image analysis, and artificial intelligence (AI) are rapidly transforming how pathologists and researchers interact with tissue samples and enable the development of diagnostic tools that harness high-resolution whole-slide images; these advances are in turn creating new opportunities for research, education, and routine clinical care globally. Liver disease is no exception, and digital pathology and AI have many applications in the diagnosis of liver cancer and liver diseases and in the assessment and management of transplantation. Although quantitative image analysis techniques have been applied to liver disease in research settings for over 50 years, recent improvements in image resolution, data storage, and the availability of advanced AI methods such as deep learning have driven multiple exciting developments. In this Review, we summarise the advancements in digital pathology, image analysis, and AI in liver disease. Key challenges such as access to and the logistics of using digital solutions, quality issues, and appropriate guidance in research and clinical use are reviewed, along with potential solutions to these challenges in the context of liver pathology and liver disease. Digital technologies are well established in liver pathology research, and access in clinical practice is increasing, with potential to address current laboratory challenges. Further evaluation is required to assess real-world effectiveness, clinical safety, and implementation of AI tools in liver pathology.

Journal Article↗

PubMedDate not supplied

Necrotizing Aspergillosis of large airways: CT findings in eight patients.

PURPOSE: The aim of this study was to evaluate the CT findings of pathologically proven necrotizing aspergillosis of the large airways (necrotizing Aspergillus bronchitis). METHOD: Medical records and imaging studies from two tertiary medical centers were reviewed for pathologically proven cases of necrotizing aspergillosis of the large airways. Fiberoptic bronchoscopic examination and CT scans of the chest were available in all cases. Two thoracic radiologists who were blinded to the clinical and pathologic data reviewed the thoracic CT scans retrospectively and reached a final decision. The CT images were evaluated for the presence, distribution, and extent of CT findings. RESULTS: The study included eight patients, seven men and one woman, ranging in age from 28 to 67 years (mean age 46 years). All patients had histopathologically proved necrotizing Aspergillus of the large airways and no other superimposed infections. Six patients had leukemia, one had chronic liver disease, and one had chronic obstructive lung disease. All patients had bronchial wall thickening and focal bronchial narrowing involving a lobar or segmental bronchus. The bronchial narrowing was irregular or nodular in seven patients and smooth in one. Atelectasis distal to a narrowed bronchus was present in five patients. CONCLUSION: The CT findings of necrotizing bronchial aspergillosis include bronchial wall thickening, which is often nodular, and narrowing of the bronchial lumen, which is often associated with distal atelectasis.

Adult↗

PubMed2002

Virtual endoscopy of the middle ear: experimental and clinical results of a standardised approach using multi-slice helical computed tomography.

Virtual endoscopy (VE) enables non-invasive 3D endoluminal imaging of the middle ear by post-processing of CT data. To optimise the clinical application a standardised approach was evaluated in normal and pathologic cases. Data acquisition was performed using multi-slice helical CT in 20 normal patients and 15 patients with malformation or trauma. Virtual endoscopy of the tympanic cavity and 3D images of the ossicles were generated using surface and volume rendering. Qualitative assessment of the representation of anatomical structures was performed in normal patients. In 15 pathological cases the diagnostic benefit was evaluated by comparing the 3D images to the 2D images and intra-operative findings. In all 35 cases 3D imaging was possible using the standardised approach. The ossicular chain as well as the bony and soft tissue structures of the tympanic cavity were visualised in 20 normal patients. In 7 of 8 patients with malformation and 1 of 7 patients with trauma the original diagnosis was changed by 3D imaging. Standardisation and evaluation of the method in normal patients is essential as it enhances the diagnostic reliability. Virtual endoscopy facilitates understanding of the complex anatomy of the middle ear. In cases of suspected malformation and confirmed trauma it is helpful for diagnosis and surgical planning.

Adolescent↗

PubMed1991

Some fundamental aspects of morphometry in clinical pathology, demonstrated on a simple, multipurpose analysis system.

The aim of this study was (1) to investigate the value of morphometry, (2) to fix a set of parameters suitable for analyzing diagnostic problems, and (3) to create a general strategy for data storage and for user-friendly data management. The intrinsic value of morphometry lies in the fact that in contrast to other morphologic methods, it permits the presentation of findings in the form of numbers. The following set of morphometric parameters, in the broad sense of the term morphometry, is standard in our laboratory: planimetric parameters (shape descriptors), parameters of the gray value histogram (descriptors of the general gray value distribution), texture parameters (descriptors of the correlation between various image segments), invariant moments (descriptors of the size and localization of textural image segments) and densitometric parameters. The introduction of morphometric procedures into the daily routine is facilitated if data registration and evaluation are performed separately. Original data generated by direct measurement are primary or raw data, which are stored as such. In a separate, second step these raw data are used to compare more or less complex morphometric parameters, which are called "secondary data". A system designed for separate data registration and evaluation can easily be adapted to new methodologic developments. For instance, primary data on objects (gray values, coordinates of the contour) measured one time in the past can be reused at any other time for computing new features from these data. This procedure is comparable to the possibilities in immunohistochemical staining: new immunohistochemical stains can be applied to newly prepared sections of old tissue blocks.

Computer Communication Networks↗

PubMed1981

Automated image analysis in clinical pathology.

The applications of automated cell image analyses are primarily in cytopathology, hematology, and cellular immunology. This paper presents data evaluation technics and statistical methods for automated cell analysis.

Autoanalysis↗