Spelling suggestions: "subject:"histopathological features""
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Histogram Analysis of Diffusion Weighted Imaging at 3T is Useful for Prediction of Lymphatic Metastatic Spread, Proliferative Activity, and Cellularity in Thyroid Cancer:Schob, Stefan, Meyer, Hans Jonas, Dieckow, Julia, Pervinder, Bhogal, Pazaitis, Nikolaos, Höhn, Anne Kathrin, Garnov, Nikita, Horvath-Rizea, Diana, Hoffmann, Karl-Titus, Surov, Alexey 11 January 2024 (has links)
Pre-surgical diffusion weighted imaging (DWI) is increasingly important in the context of
thyroid cancer for identification of the optimal treatment strategy. It has exemplarily been shown that
DWI at 3T can distinguish undifferentiated from well-differentiated thyroid carcinoma, which has
decisive implications for the magnitude of surgery. This study used DWI histogram analysis of whole
tumor apparent diffusion coefficient (ADC) maps. The primary aim was to discriminate thyroid
carcinomas which had already gained the capacity to metastasize lymphatically from those not yet
being able to spread via the lymphatic system. The secondary aim was to reflect prognostically
important tumor-biological features like cellularity and proliferative activity with ADC histogram
analysis. Fifteen patients with follicular-cell derived thyroid cancer were enrolled. Lymph node status,
extent of infiltration of surrounding tissue, and Ki-67 and p53 expression were assessed in these
patients. DWI was obtained in a 3T system using b values of 0, 400, and 800 s/mm2
. Whole tumor
ADC volumes were analyzed using a histogram-based approach. Several ADC parameters showed
significant correlations with immunohistopathological parameters. Most importantly, ADC histogram
skewness and ADC histogram kurtosis were able to differentiate between nodal negative and nodal
positive thyroid carcinoma. Conclusions: histogram analysis of whole ADC tumor volumes has
the potential to provide valuable information on tumor biology in thyroid carcinoma. However,
further studies are warranted.
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Breast Cancer in PTEN Hamartoma Tumor Syndrome: Can a Predictive Fingerprint be Identified?Machaj, Agnieszka S. 12 June 2014 (has links)
No description available.
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