Purpose: Hyperthermia treatment of head and neck tumors requires accurate planning, based on 3D patient models that are derived from segmented images. These segmentations currently obtained by manual outlining the relevant tissue regions, which is a tedious time‐consuming procedure (∼8 h) limiting clinical applicability hyperthermia treatment. In this context, authors present evaluate an automatic segmentation algorithm for CT images neck. Methods: The proposed method combines anatomical...

Abstract Objectives To develop an automatic method for identification and segmentation of clinically significant prostate cancer in low-risk patients to evaluate the performance a routine clinical setting. Methods A consecutive cohort ( n = 292) from prospective database eligible active surveillance was selected. 3-T multi-parametric MRI at 3 months after inclusion performed. Histopathology biopsies used as reference standard. positivity defined PI-RADS score ≥ 3, histopathology ISUP grade...

To determine the incidence of symptomatic and asymptomatic cerebral ischemic lesions found on diffusion-weighted magnetic resonance imaging (DW-MRI) after carotid interventions.A prospective study was conducted to assess new using DW-MRI in patients with artery disease undergoing protected stenting (CAS) or endarterectomy (CEA). performed before intervention 44 (21 CAS 23 CEA). Two experienced radiologists not involved procedures neurological assessment compared postprocedural DW-MR images...

This study aims to quantify the heterogeneity of tumour enhancement in dynamic contrast-enhanced MRI (DCE-MRI) using texture analysis methods. The suitability coherence and fractal dimension monitor response was evaluated 18 patients with limb sarcomas imaged by DCE-MRI pre- post-treatment. According histopathology, tumours were classified into responders non-responders. Pharmacokinetic (Ktrans) heuristic model-based parametric maps (slope, max enhancement, AUC) computed from data. A...

Purpose: Dosimetry during deep local hyperthermia treatments in the head and neck currently relies on a limited number of invasively placed temperature sensors. The purpose this study was to assess feasibility 3D dosimetry based patient-specific simulations sensory feedback. Materials methods: includes 10 patients with invasive thermometry applied at least two treatments. Based their thermometry, we optimised patient-group thermal conductivity perfusion values for muscle, fat tumour using...

Radiomics applied in MRI has shown promising results classifying prostate cancer lesions. However, many papers describe single-center studies without external validation. The issues of using radiomics models on unseen data have not yet been sufficiently addressed. aim this study is to evaluate the generalizability for classification and compare performance these radiologists. Multiparametric MRI, photographs histology radical prostatectomy specimens, pathology reports 107 patients were...

The computer-aided analysis of prostate multiparametric MRI (mpMRI) could improve significant-prostate-cancer (PCa) detection. Various deep-learning- and radiomics-based methods for significant-PCa segmentation or classification have been reported in the literature. To be able to assess generalizability performance these methods, using various external data sets is crucial. While both deep-learning radiomics approaches compared based on same set one center, comparison performances from...

In the last decade, fractal dimension has become a popular parameter to characterize image textures. Also in radiographs, various procedures have been used estimate dimension. However, certain characteristics of radiographic process, e.g., noise and blurring, interfere with straightforward application these estimation methods. this study, influence quantum blur on several methods was quantified by simulating effect modulation transfer functions, corresponding different screen–film...

Background: To investigate the changes of upper airway volume in syndromic craniosynostosis patients following Le Fort III advancement, computed tomographic scans were analyzed and related to amount advancement. Methods: In this retrospective study, preoperative postoperative 19 with who underwent advancement analyzed. four cases, polysomnography demonstrated obstructive sleep apnea. The was segmented using a semiautomatic region growing method fixed Hounsfield threshold value. Airway...

Background Magnetic resonance imaging (MRI), together with histology, is widely used to diagnose and monitor treatment in oncology. Spatial correspondence between these modalities provides information about the ability of MRI characterize cancerous tissue. However, registration complicated by deformations during pathological processing, differences scale content. Methodology/Principal Findings This study proposes a methodology for establishing an accurate 3D relation histological sections...

Purpose: In current clinical practice, head and neck (H&N) hyperthermia treatment planning (HTP) is solely based on computed tomography (CT) images. Magnetic resonance imaging (MRI) provides superior soft‐tissue contrast over CT. The purpose of the authors’ study to investigate relevance using MRI in addition CT for patient modeling H&N HTP. Methods: scans were acquired 11 patients an immobilization mask. Three observers manually segmented CT, T1 weighted (MRI‐T1w), T2 (MRI‐T2w)...

A hyperthermia treatment requires accurate, patient-specific planning.This planning is based on 3D anatomical models which are generally derived from computed tomography.Because of its superior soft tissue contrast, magnetic resonance imaging (MRI) information can be introduced to improve the quality these patient and therefore itself.Thus, we present here an automatic atlas-based segmentation algorithm for MR images head neck.Our method combines multiatlas local weighting fusion with...

Although efficient delivery and distribution of treatment agents over the whole tumor is essential for successful treatment, most these cannot be visualized. However, with single-photon emission computed tomography (SPECT), both uptake radiolabeled peptides can visualized in a neuroendocrine model overexpressing somatostatin receptors. A heterogeneous peptide often observed tumors. We hypothesized that spatially related to perfusion, vessel density permeability, as imaged quantified by...