Sublethal Hyperthermia Transiently Disrupts Cortisol Steroidogenesis in Adrenocortical Cells.

Primary aldosteronism is the most common cause of secondary hypertension. The first-line treatment adrenalectomy resects adrenal nodules and adjacent normal tissue, limiting suitability to those who present with unilateral disease. Use of thermal ablation represents an emerging approach as a possible minimally invasive therapy for unilateral and bilateral disease, to target and disrupt hypersecreting aldosterone-producing adenomas, while preserving adjacent normal adrenal cortex. To determine the extent of damage to adrenal cells upon exposure to hyperthermia, the steroidogenic adrenocortical cell lines H295R and HAC15 were treated with hyperthermia at temperatures between 37 and 50°C with the effects of hyperthermia on steroidogenesis evaluated following stimulation with forskolin and ANGII. Cell death, protein/mRNA expression of steroidogenic enzymes and damage markers (HSP70/90), and steroid secretion were analyzed immediately and 7 days after treatment. Following treatment with hyperthermia, 42°C and 45°C did not induce cell death and were deemed sublethal doses while ≥50°C caused excess cell death in adrenal cells. Sublethal hyperthermia (45°C) caused a significant reduction in cortisol secretion immediately following treatment while differentially affecting the expression of various steroidogenic enzymes, although recovery of steroidogenesis was evident 7 days after treatment. As such, sublethal hyperthermia, which occurs in the transitional zone during thermal ablation induces a short-lived, unsustained inhibition of cortisol steroidogenesis in adrenocortical cells in vitro.

Image-based computer modeling assessment of microwave ablation for treatment of adrenal tumors.

PURPOSE: To assess the feasibility of delivering microwave ablation for targeted treatment of aldosterone producing adenomas using image-based computational models. METHODS: We curated an anonymized dataset of diagnostic 11C-metomidate PET/CT images of 14 patients with aldosterone producing adenomas (APA). A semi-automated approach was developed to segment the APA, adrenal gland, and adjacent organs within 2 cm of the APA boundary. The segmented volumes were used to implement patient-specific 3D electromagnetic-bioheat transfer models of microwave ablation with a 2.45 GHz directional microwave ablation applicator. Ablation profiles were quantitatively assessed based on the extent of the APA target encompassed by an ablative thermal dose, while limiting thermal damage to the adjacent normal adrenal tissue and sensitive critical structures. RESULTS: Across the 14 patients, adrenal tumor volumes ranged between 393 mm3 and 2,395 mm3. On average, 70% of the adrenal tumor volumes received an ablative thermal dose of 240CEM43, while limiting thermal damage to non-target structures, and thermally sparing 83.5-96.4% of normal adrenal gland. Average ablation duration was 293 s (range: 60-600 s). Simulations indicated coverage of the APA with an ablative dose was limited when the axis of the ablation applicator was not well aligned with the major axis of the targeted APA. CONCLUSIONS: Image-based computational models demonstrate the potential for delivering microwave ablation to APA targets within the adrenal gland, while limiting thermal damage to surrounding non-target structures.

Prompt and accurate diagnosis of ventricular arrhythmias with a novel index based on phase space reconstruction of ECG.

AIM: To develop a statistical index based on the phase space reconstruction (PSR) of the electrocardiogram (ECG) for the accurate and timely diagnosis of ventricular tachycardia (VT) and ventricular fibrillation (VF). METHODS: Thirty-two ECGs with sinus rhythm (SR) and 32 ECGs with VT/VF were analyzed using the PSR technique. Firstly, the method of time delay embedding were employed with the insertion of delay "τ" in the original time-series X(t), which produces the Y(t)=X(t-τ). Afterwards, a PSR diagram was reconstructed by plotting Y(t) against X(t). The method of box counting was applied to analyze the behavior of the PSR trajectories. Measures as mean (µ), standard deviation (σ) and coefficient of variation (CV=σ/µ), kurtosis (ß) for the box counting of PSR diagrams were reported. RESULTS: During SR, CV was always <0.05, while with the onset of arrhythmia CV increased >0.05. A similar pattern was observed with ß, where <6 was considered as the cut-off point between SR and VT/VF. Therefore, the upper threshold for SR was considered CVth=0.05 and ßth<6. For optimisation of the accuracy, a new index (J) was proposed: J=wCVCVth+1-wßßth. During SR the upper limit of J was the value of 1. Furthermore CV, ß and J crossed the cut-off point timely before the onset of arrhythmia (average time: 4min 31s; SD: 2min 30s); allowing sufficient time for preventive therapy. CONCLUSION: The J index improved ECG utility for arrhythmia monitoring and detection utility, allowing the prompt and accurate diagnosis of ventricular arrhythmias.

A statistical index for early diagnosis of ventricular arrhythmia from the trend analysis of ECG phase-portraits.

In this paper, we propose a novel statistical index for the early diagnosis of ventricular arrhythmia (VA) using the time delay phase-space reconstruction (PSR) technique, from the electrocardiogram (ECG) signal. Patients with two classes of fatal VA-with preceding ventricular premature beats (VPBs) and with no VPBs-have been analysed using extensive simulations. Three subclasses of VA with VPBs viz. ventricular tachycardia (VT), ventricular fibrillation (VF) and VT followed by VF are analyzed using the proposed technique. Measures of descriptive statistics like mean (µ), standard deviation (σ), coefficient of variation (CV = σ/µ), skewness (γ) and kurtosis (ß) in phase-space diagrams are studied for a sliding window of 10 beats of the ECG signal using the box-counting technique. Subsequently, a hybrid prediction index which is composed of a weighted sum of CV and kurtosis has been proposed for predicting the impending arrhythmia before its actual occurrence. The early diagnosis involves crossing the upper bound of a hybrid index which is capable of predicting an impending arrhythmia 356 ECG beats, on average (with 192 beats standard deviation) before its onset when tested with 32 VA patients (both with and without VPBs). The early diagnosis result is also verified using a leave one out cross-validation (LOOCV) scheme with 96.88% sensitivity, 100% specificity and 98.44% accuracy.