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Biomedical subjects

Luca T Mainardi

Publications and source records attributed to Luca T Mainardi.

11 recordsLinked to original sources
PubMed2006

Mixed cranial nerve neuroma revealing itself as baroreflex failure.

We report here the first case of baroreflex failure due to a mixed cranial nerve neuroma in which the clinical manifestations (recurrent severe hypertensive crisis, hypotension) due to baroreflex arc impairment preceded the clinical diagnosis of brain tumour and neurosurgery by a few months. Given the clinical suspicion of baroreflex failure, even in the absence of iatrogenic clues, we propose that the patient's study should include neuroradiologic evaluation of the ponto-cerebellar angulus.

Acute Disease↗
PubMed2006

A method for dynamic subtraction MR imaging of the liver.

BACKGROUND: Subtraction of Dynamic Contrast-Enhanced 3D Magnetic Resonance (DCE-MR) volumes can result in images that depict and accurately characterize a variety of liver lesions. However, the diagnostic utility of subtraction images depends on the extent of co-registration between non-enhanced and enhanced volumes. Movement of liver structures during acquisition must be corrected prior to subtraction. Currently available methods are computer intensive. We report a new method for the dynamic subtraction of MR liver images that does not require excessive computer time. METHODS: Nineteen consecutive patients (median age 45 years; range 37-67) were evaluated by VIBE T1-weighted sequences (TR 5.2 ms, TE 2.6 ms, flip angle 20 degrees , slice thickness 1.5 mm) acquired before and 45s after contrast injection. Acquisition parameters were optimized for best portal system enhancement. Pre and post-contrast liver volumes were realigned using our 3D registration method which combines: (a) rigid 3D translation using maximization of normalized mutual information (NMI), and (b) fast 2D non-rigid registration which employs a complex discrete wavelet transform algorithm to maximize pixel phase correlation and perform multiresolution analysis. Registration performance was assessed quantitatively by NMI. RESULTS: The new registration procedure was able to realign liver structures in all 19 patients. NMI increased by about 8% after rigid registration (native vs. rigid registration 0.073 +/- 0.031 vs. 0.078 +/- 0.031, n.s., paired t-test) and by a further 23% (0.096 +/- 0.035 vs. 0.078 +/- 0.031, p < 0.001, paired t-test) after non-rigid realignment. The overall average NMI increase was 31%. CONCLUSION: This new method for realigning dynamic contrast-enhanced 3D MR volumes of liver leads to subtraction images that enhance diagnostic possibilities for liver lesions.

Journal Article↗
PubMed2006

Long-term heart rate variability as a predictor of patient age.

Patients age has been estimated in healthy population by means of the heart rate variability (HRV) parameters to assess the potentiality of HRV indexes as a biomarker of age. A long-term analysis of HRV has been performed, computing linear time and frequency domain parameters as well as non-linear metrics, in a dataset of 113 healthy subjects (age range 20-85 years old). The principal component analysis has been used to capture age-related influence on HRV and then three different models have been applied to predict subjects age: a robust linear regressor (RLR), a feedforward neural network (FFNN) and a radial basis function neural network (RBFNN). A good prediction of patient age has been obtained (using all principal components, the Pearson correlation coefficient between predicted and real age: RLR=0.793; FFNN=0.872; RBFNN=0.829), even if an overestimation in younger subjects and an underestimation in older ones may be observed. The important and complementary contribution of non-linear indexes to aging related HRV modifications has also been underlined.

Adult↗
PubMed2006

Assessment of spatial organization in the atria during paroxysmal atrial fibrillation and adrenergic stimulation.

Non-linear parameters were computed to assess the extent of spatial organization in the atria in terms of coupling/synchronization between electrograms recorded in different atrial sites. Recordings of 9 patients suffering from paroxysmal atrial fibrillation were tested during four clinical experimental conditions: sinus rhythm and atrial fibrillation, both before and after isoproterenol infusion, a drug mimicking adrenergic activation. Two non-linear metrics were investigated: an index of non-linear association (NLA) and a synchronization (S) index based on the cross-conditional entropy. Results evidence the presence of reduced coupling after drug infusion in both sinus rhythm and atrial fibrillation. Moreover, passing from the NLA to the S index, the capability of the parameter to capture the subtle changes due to isoproterenol administration increased.

Adrenergic beta-Agonists↗
PubMed2005

Analysis of esophageal atrial recordings through wavelet packets decomposition.

In this paper the processing of esophageal atrial electrograms by means of wavelet packets (WP) decomposition is presented. WP is described as a flexible, signal-adaptive, tool, which can be easily tuned to enhance characteristics of esophageal signals. Two aspects are mainly investigated: (i) the possibility to obtain automatic, reliable detection of atrial activation in 24h Holter recordings and (ii) the development of an algorithm for discrimination between atrial flutter (AFLU) and atrial fibrillation (AF) episodes. WP decomposition was used as a framework for pre-processing the esophageal signal and to build a set of orthonormal sub-signals which can be selected and combined according to the signal processing task to be performed: (i) in the detection of atrial activation, sub-band signal characteristics were explored at different scales by using the modulus maxima criteria and (ii) in the discrimination between AFLU and AF the coarser approximation of the esophageal signal was studied by spectral analysis. A reliable detection of atrial activation was obtained (Sensitivity (SE): 99.08%; positive predictability (+P): 98.98%). In addition a quantitative index able to discriminate between AFLU (SE: 97.5%; +P: 98.7%) and AF (SE: 98.7%; +P: 97.5%) episodes was introduced.

Atrial Fibrillation↗
PubMed2005

Circadian blood pressure variability is associated with autonomic and baroreflex-mediated modulation of the sinoatrial node.

OBJECTIVE: The day-night variability of blood pressure (BP) is of interest in the analysis of ambulatory blood pressure monitoring (ABPM). The aim of this study was to investigate whether the nocturnal BP reduction was associated with the autonomic and baroreflex-mediated modulation of the sinoatrial node in normotensive and hypertensive subjects. METHODS AND RESULTS: 63 consecutive untreated male subjects (40 hypertensive and 23 normotensive) were studied. Spectral parameters of RR interval variability and the alphaLF index (a measure of baroreflex gain) were calculated at rest. Then all the subjects performed a 24-h ABPM. RESULTS: As regards the relationships involving 24-h BP and resting heart rate (HR) and HR variability parameters, a significant correlation was found between mean RR and both systolic and diastolic nocturnal BP falls (r = 0.40, p < 0.001, r = 0.32, p < 0.01, respectively); moreover, a significant correlation was found between the nocturnal fall of systolic BP and both the LF/HF ratio and absolute power of HF (r = -0.25, p < 0.05 and r = 0.29, p < 0.05, respectively). The alphaLF index was significantly associated with the nocturnal diastolic BP fall (r = 0.26, p < 0.05) whereas the association with the systolic fall did not reach statistical significance (r = 0.23, p = 0.07). CONCLUSIONS: The relationship found between the nocturnal reduction of BP and both the LF/HF ratio and HF power of RR variability suggests that factors influencing the sympatho-vagal modulation to the heart are associated with the day-night variability of blood pressure. Moreover, the relationship between BP fall and the spontaneous baroreflex sensitivity index alphaLF, may indicate a role of the baroreflex-mediated arc function in the BP adjustments occurring during the night.

Adult↗
PubMed2004

Assessment of the dynamics of atrial signals and local atrial period series during atrial fibrillation: effects of isoproterenol administration.

BACKGROUND: The autonomic nervous system (ANS) plays an important role in the genesis and maintenance of atrial fibrillation (AF), but quantification of its electrophysiologic effects is extremely complex and difficult. Aim of the study was to evaluate the capability of linear and non-linear indexes to capture the fine changing dynamics of atrial signals and local atrial period (LAP) series during adrenergic activation induced by isoproterenol (a sympathomimetic drug) infusion. METHODS: Nine patients with paroxysmal or persistent AF (aged 60 +/- 6) underwent electrophysiological study in which isoproterenol was administered to patients. Atrial electrograms were acquired during i) sinus rhythm (SR); ii) sinus rhythm during isoproterenol (SRISO) administration; iii) atrial fibrillation (AF) and iv) atrial fibrillation during isoproterenol (AFISO) administration. The level of organization between two electrograms was assessed by the synchronization index (S), whereas the degree of recurrence of a pattern in a signal was defined by the regularity index (R). In addition, the level of predictability (LP) and regularity of LAP series were computed. RESULTS: LAP series analysis shows a reduction of both LP and R index during isoproterenol infusion in SR and AF (RSR = 0.75 +/- 0.07 RSRISO = 0.69 +/- 0.10, p < 0.0001; RAF = 0.31 +/- 0.08 RAFISO = 0.26 +/- 0.09, p < 0.0001; LPSR = 99.99 +/- 0.001 LPSRISO = 99.97 +/- 0.03, p < 0.0001; LPAF = 69.46 +/- 21.55 LPAFISO = 55 +/- 24.75; p < 0.0001). Electrograms analysis shows R index reductions both in SR (RSR = 0.49 +/- 0.08 RSRISO = 0.46 +/- 0.09 p < 0.0001) and in AF (RAF = 0.29 +/- 0.09 RAFISO = 0.28 +/- 0.08 n.s.). CONCLUSIONS: The proposed parameters succeeded in discriminating the subtle changes due to isoproterenol infusion during both the rhythms especially when considering LAP series analysis. The reduced value of analyzed parameters after isoproterenol administration could reflect an important pro-arrhythmic influence of adrenergic activation on favoring maintenance of AF.

Atrial Fibrillation↗
PubMed2002

Hypertension-related hypoalgesia, autonomic function and spontaneous baroreflex sensitivity.

OBJECTIVE: The mechanisms involved in the relationship between pain perception and hypertension are poorly understood. This study has sought to investigate whether the spontaneous baroreflex sensitivity and the autonomic nervous system balance are related to hypertension-associated hypoalgesia. METHODS: In the morning, 73 untreated male subjects (45 hypertensives, 28 normotensives) were submitted to a simultaneous recording of electrocardiographic and blood pressure signals in resting condition. The tracings were analysed off-line to evaluate the spectral components of the low frequency (LF) and high frequency (HF) powers (autoregressive algorithm; LF/HF ratio used in subsequent analysis as an index of sympathovagal balance), and the alphaLF (alphaLF), an index of baroreflex sensitivity. After the rest period, the subjects underwent dental pain perception evaluation (pulpar tester: test current increasing from 0 to 0.03 mA, expressed in relative Units) to determine the dental pain threshold and tolerance. Afterwards, a 24-h ambulatory blood pressure monitoring was performed. RESULTS: A significant relationship was observed between alphaLF and pain threshold (r = -0.34; p = 0.003). When a multivariate analysis was computed to control for age, 24-h systolic pressure and LF/HF ratio, alphaLF was a predictive independent factor associated with pain threshold (model p = 0.019; r = -0.31; p = 0.025). Moreover, the 24-h systolic pressure was independently associated with pain threshold (model p = 0.019; r = 0.30, p = 0.031). The relationship between alphaLF and relative tolerance was not statistically significant. When the association between the LF/HF ratio and pain sensitivity was assessed as a secondary endpoint, no significant relationship was observed. Since no significant interaction was found, the effect of alphaLF and LF/HF ratio on pain perception was assumed to be similar in normotensive and hypertensive subjects. CONCLUSIONS: The relationship found between unstimulated baroreflex sensitivity and pain threshold suggests a modulation of pain perception by baroreflex pathways in hypertension-associated hypoalgesia. In a baseline condition, the autonomic nervous system balance does not seem to influence pain sensitivity.

Adult↗
PubMed2002

A wavelet packets decomposition algorithm for quantification of in vivo (1)H-MRS parameters.

In this paper a novel method for the extraction of magnetic resonance spectroscopy (MRS) parameters is presented. The method applies the traditional time-domain linear prediction singular value decomposition (LPSVD) on the set of orthonormal sub-signals obtained by wavelet packets (WP) decomposition of the original free induction decay (FID) signal. Using the properties of WP the desired, optimal, sub-band FID decomposition is obtained and used to progressively separate the different metabolic components in distinct sub-bands. A pseudo-optimal WP tree is obtained using the minimum description length (MDL) criteria. The proposed algorithm preserves all the advantages of the traditional LPSVD method, but the WP decomposition considerably improves the LPSVD performances in the presence of noise. The paper addresses this aspect in details by comparing the innovative sub-band and the traditional full-band approaches. Algorithms are tested on simulated signals that mimic real MRS data.

Algorithms↗
PubMed2002

Time-frequency and time-varying analysis for assessing the dynamic responses of cardiovascular control.

Time-frequency or time-variant methods have been extensively applied in the study of the heart-rate variability (HRV) signal. In fact, the frequency content of HRV signal has a strong correlation with the control system assessing heart rate. In particular, the power related to the low-frequency (LF) and high-frequency (HF) components have been demonstrated to correlate to the action of sympathetic and parasympathetic branches of the autonomic nervous system. However, the analysis is restricted to stationary conditions, unless time-frequency methods are employed for detecting dynamic changes that may occur during physiological and pathological conditions. This article reviews the most diffused tools for time-frequency analysis, starting from linear decomposition of the signal (including short-time Fourier transform and wavelet and wavelet packet decomposition), to quadratic time-frequency distributions (including Wigner-Ville transform and Cohen's class of distributions), and finally to adaptive or time-variant autoregressive (AR) models, in both the mono- and bivariate forms. In the past few years, these approaches have been applied in several studies related to cardiovascular responses during nonstationary pathophysiological events. Among them, we will recall and discuss myocardial ischemia (spontaneous or induced), drug infusion, rest-tilt maneuver and syncope, neurophysiological, and sleep investigations.

Animals↗