Technical aspects to maximize the hyperaccuracy three-dimensional (HA3D™) computed tomography reconstruction for kidney stones surgery: a pilot study.
Tsaturyan ArmanAndrea BellinSimona BarbutoPeter ZampakisEpameinondas NtzanisMarco LattaruloChristina KalogeropoulouEvangelos LiatsikosPanagiotis Kallidonisnull nullPublished in: Urolithiasis (2021)
The aim of the current prospective pilot study was to describe a hyperaccuracy three-dimensional (HA3D™) model reconstruction technique, specifically developed to maximize the visualization of the renal collecting system's anatomy, and its relationship with the stones, vessels and renal parenchyma, and to compare the HA3D™ virtual models with the intraoperative findings. The image acquisition was performed using a CT scanner (Toshiba, Aquilion Prime) and included the unenhanced, arterial, venous and excretory phases. The DICOM format CT images were processed by MEDICS Srl ( www.medics3d.com , Turin, Italy). In total, study included three patients with renal stone scheduled for non-papillary prone percutaneous nephrolithotomy (PCNL). The median age and BMI were 51 (range 49-54) and 25.5 (range 25.0-32.7), respectively. The median stone size was 1170 mm2 (range 830-1520) and median stone density was 1130 HU (range 600-1340). In all cases, the quality of the CT images acquired with our protocol was adequate to perform the HA3D™ reconstruction. Median operative and puncture time were 39.4 (range 35.2-44.0) and 1.9 (range 1.8-2.1) mins, respectively. The success rate for the first attempt of the percutaneous puncture was 100%, and only one PCNL tract was sufficient to complete the surgery. All three patients were stone-free on the third postoperative day. A dedicated imaging acquisition protocol and a tailored 3D model reconstruction process specifically developed for kidney stones treatment allow obtaining HA3D™ highly relevant models to greatly match intraoperative findings during PCNL with the potential of minimizing bleeding and organ injury complications.
Keyphrases
- computed tomography
- dual energy
- minimally invasive
- image quality
- contrast enhanced
- positron emission tomography
- deep learning
- ultrasound guided
- randomized controlled trial
- end stage renal disease
- patients undergoing
- magnetic resonance imaging
- ejection fraction
- chronic kidney disease
- convolutional neural network
- high resolution
- risk assessment
- body mass index
- machine learning
- urinary tract
- prognostic factors
- risk factors
- atrial fibrillation
- mass spectrometry
- coronary artery disease
- weight loss
- smoking cessation
- quality improvement
- acute coronary syndrome