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Biomedical subjects

C Valentí

Publications and source records attributed to C Valentí.

6 recordsLinked to original sources
PubMed2002

[Primary low-grade non-Hodgkin's B lymphoma mimicking meningioma].

Primary dural lymphomas are rare. Usually they present themselves as diffuse lesions and are infrequently well-delimited. We present a 44 year old male, who was admitted into our Centre after a generalised seizure. Neuroimage studies (CT scan, MRI and angiography) were performed, demonstrating a right hemispheric well-delimited extra-axial mass, being diagnosed initially as meningioma. The patient underwent surgery with radical scission of the mass and dural margins. Histopathological diagnosis was Non-Hodgkin B-Cell lymphoma (marginal B-Cell lymphoma), which nowadays is considered as MALT lymphoma (Mucosa Associated Lymphoid Tissue). Studies directed to establish tumour extension didn't demonstrate the existence of another lesions in the organism.

Adult↗
PubMed2001

Digital image documentation for quality assessment.

OBJECTIVE: To demonstrate the feasibility of the use of digital images to document routine cases and to perform diagnostic quality assessment. METHODS: Pathologists documented cases by acquiring up to 12 digital images per case. The images were sampled at 25:1, 50:1, 100:1, 200:1, or 400:1 magnifications, according to adequacy in aiding diagnosis. After each acquisition, the referral pathologist marked a region of interest within each acquired image in order to evaluate intrinsic redundancy. The extrinsic redundancy was determined by counting the unnecessary images. Cases were randomly selected and reviewed by one pathologist. The quality of each image, the possibility of accomplishing a diagnosis based on images, and the degree of agreement was evaluated. RESULTS: During routine practice, 1469 cases were documented using 3902 images. Most of the images were acquired at higher power magnifications. From all acquired cases, 143 cases and their 373 related images were randomly selected for review. In 88.1% (126/143) of reviewed cases, it was possible to accomplish the diagnosis based on images. In 30.2% (38/126) of these cases, the reviewer considered that the diagnosis could be accomplished with fewer images. The referral pathologist and the reviewer found intrinsic redundancy in 57.8% and 54.5% of images, respectively. CONCLUSIONS: Our results showed that digital image documentation to perform diagnostic quality assessment is a feasible solution. However, owing to the impact on routine practice, guidelines for acquisition and documentation of cases may be needed.

Diagnosis↗
PubMed2001

Microvessel density counting in breast cancer. Slides vs. digital images.

OBJECTIVE: To develop a program to assist the pathologist in the acquisition and evaluation of digital images to determine microvessel density (MVD) in tissues. STUDY DESIGN: Ten cases of breast cancer with a high degree of neovascularization were selected. A standard immunohistochemical method was used to highlight the microvessels (monoclonal anti-factor VIII, avidinbiotin-peroxidase complex method). Two pathologists (one senior [S] and one junior [J]) evaluated four areas of highest neovascularization ("hot spots") in the tumors. Microscopically MVD was determined in four chosen areas (400:1). From the center of each area two digital images were acquired at a magnification of 200:1. All counts made by microscopic observation were compared with those made on the digital images. To compare MVD counting at different resolution, two sets of images at different sampling densities (320 x 240 and 1,600 x 1,200) were assessed by the two pathologists. RESULTS: We obtained a good correlation (r = .98 for S and .96 for J) between the MVD counts obtained at the microscope (192.8 MV/mm2 [mean of S] and 181.8 MV/mm2 [mean of J]) and the MVD counts from digital images (153.2 MV/mm2 [mean of S] and 171.0 MV/mm2 [mean of J]) at high resolution. The counts were lower for digital images at lower sampling density (125.0 MV/mm2 [mean of S] and 78.2 MV/mm2 [mean of J]). With low-resolution digital images only S maintained a good correlation (r = .96 for S and .34 for J) with the microscopic evaluation of MVD. Interobserver analysis showed a good correlation (r = .82 for the microscope and r = .78 for the digital images) of MVD evaluated either at the microscope or in high-resolution digital images. CONCLUSION: We demonstrated the functionality and usefulness of our program in performing MVD evaluation. Considering the capabilities of the program to store all images and microvessel marks and the reliability of MVD evaluation based on digital images, we consider this program the first step toward fully automated MVD assessment.

Breast Neoplasms↗