Perfusion computed tomography relative threshold values in definition of acute stroke lesions

BACKGROUND: Perfusion computed tomography (CT) is a relatively new technique that allows fast evaluation of cerebral hemodynamics by providing perfusion maps and gives confirmation of perfusion deficits in ischemic areas. Some controversies exist regarding accuracy of quantitative detection of tissue viability: penumbra (tissue at risk) or core (necrosis). PURPOSE: To define brain tissue viability grade on the basis of the perfusion CT parameters in acute stroke patients. MATERIAL AND METHODS: A multimodal CT imaging protocol; unenhanced CT of the brain, CT angiography of head and neck blood vessels, followed by brain perfusion CT and 24 h follow-up brain CT was performed. Perfusion deficits were detected first visually, with subsequent manual quantitative and relative measurements in affected and contra-lateral hemisphere in 87 acute stroke patients. RESULTS: Visual perfusion deficit on perfusion CT images was found in 78 cases (38 women, 40 men; mean age, 30-84 years). Penumbra lesions (n = 49) and core lesions (n = 42) were detected by increased mean transit time (MTT) on perfusion CT maps in comparison to contra-lateral hemispheres. Cerebral blood volume (CBV) mean values in the penumbra group were increased in the penumbra group and decreased in the core group. Cerebral blood flow (CBF) values were decreased in penumbra and markedly decreased in core lesion. CONCLUSION: Perfusion CT measurements are reliable in estimation of penumbra and core lesions in acute stroke patients, if relative threshold values are used. The most accurate parameter of hypoperfusion is increased MTT above 190%. Relative threshold values for irreversible lesion are CBFpublishersversionPeer reviewe

Quantitative analysis of CT-perfusion parameters in the evaluation of brain gliomas and metastases

<p>Abstract</p> <p>Background</p> <p>The paper reports a quantitative analysis of the perfusion maps of 22 patients, affected by gliomas or by metastasis, with the aim of characterizing the malignant tissue with respect to the normal tissue. The gold standard was obtained by histological exam or nuclear medicine techniques. The perfusion scan provided 11 parametric maps, including Cerebral Blood Volume (CBV), Cerebral Blood Flow (CBF), Average Perfusion (P_mean) and Permeability-surface area product (PS).</p> <p>Methods</p> <p>The perfusion scans were performed after the injection of 40 ml of non-ionic contrast agent, at an injection rate of 8 ml/s, and a 40 s cine scan with 1 s interval was acquired. An expert radiologist outlined the region of interest (ROI) on the unenhanced CT scan, by using a home-made routine. The mean values with their standard deviations inside the outlined ROIs and the contralateral ROIs were calculated on each map. Statistical analyses were used to investigate significant differences between diseased and normal regions. Receiving Operating Characteristic (ROC) curves were also generated.</p> <p>Results</p> <p>Tumors are characterized by higher values of all the perfusion parameters, but after the statistical analysis, only the <it>PS</it>, <it>Pat</it>_{<it>Rsq </it>}(Patlak Rsquare) and <it>T</it>_{<it>peak </it>}(Time to Peak) resulted significant. ROC curves, confirmed both <it>Pat</it>_{<it>Rsq </it>}and <it>PS </it>as equally reliable metrics for discriminating between malignant and normal tissues, with areas under curves (AUCs) of 0.82 and 0.81, respectively.</p> <p>Conclusion</p> <p>CT perfusion is a useful and non invasive technique for evaluating brain neoplasms. Malignant and normal tissues can be accurately differentiated using perfusion map, with the aim of performing tumor diagnosis and grading, and follow-up analysis.</p

Magnetic resonance imaging appearance of oxidized regenerated cellulose in breast cancer surgery

Purpose: To describe magnetic resonance imaging (MRI) findings in patients who underwent breast-conserving surgery followed by oxidized regenerated cellulose (ORC) implantation in surgical cavity. Materials and methods: We retrospectively reviewed 51 MRI examinations performed between January 2009 and January 2014 in 51 patients who underwent BCS with ORC implantation. Results: In 29/51 (57 %) cases, MRIs showed abnormal findings with three main MRI patterns: (1) complex masses: hyperintense collections on T2-weighted (w) images with internal round hypointense nodules without contrast enhancement (55 %); (2) completely hyperintense collections (17 %); and (3) completely hypointense lesions (28 %). All lesions showed rim enhancement on T1w images obtained in the late phase of the dynamic study with a type 1 curve. Diffusion-weighted imaging was negative in all MRIs and, in particular, 22/29 (76 %) lesions were hyperintense but showing ADC values >1.4 × 10−3mm2/s, while the remaining 7/29 (24 %) lesions were hypointense. In four cases, linear non-mass-like enhancement was detected at the periphery of surgical cavity; these patients were addressed to a short-term follow-up, and the subsequent examinations showed the resolution of these findings. Conclusion: When applied to surgical residual cavity, ORC can lead alterations in surgical scar. This could induce radiologists to misinterpret ultrasonographic and mammographic findings, addressing patients to MRI or biopsy; so knowledge of MRI specific features of ORC, it is essential to avoid misdiagnosis of recurrence