Quantitative diffusion-weighted imaging in breast and liver tissue

Diffusie-gewogen beeldvorming (DWI) is een biomedische toepassing van MRI, gebaseerd op diffusie (de willekeurige verplaatsing) van waterstof protonen in het menselijk lichaam. Met o.a. DWI beelden beoordeelt een radioloog visueel of er afwijkingen aanwezig zijn in het onderzochte orgaan. Visuele beoordeling is echter subjectief. Een alternatief is kwantitatieve analyse, waarbij de diffusie in afwijkingen wordt gemeten, uitgedrukt in een getal en vergeleken met gezond weefsel. Dit heeft als voordeel dat de beoordeling niet of nauwelijks afhangt van diegene die het uitvoert. Er zijn twee modellen onderzocht voor de kwantitatieve analyse van diffusie in de lever en de borst. Het intravoxel incoherent motion (IVIM) model splitst diffusie op in langzame en snelle diffusie. Snelle diffusie komt voor in goed doorbloede weefsels, zoals tumoren. Het tweede model gebruikt een enkele maat, de apparent diffusion coefficient (ADC). De voor- en nadelen van beide modellen zijn onderzocht in DWI studies van de lever. Diffusie is afhankelijk van het vetpercentage en de ADC blijkt bovendien afhankelijk van de meetlocatie in de lever. Er is een nieuwe methode geïntroduceerd waarmee de beoordelaar semiautomatisch een borsttumor kan selecteren en analyseren. IVIM kan hierdoor beter goed- en kwaadaardige borsttumoren van elkaar onderscheiden, vergeleken met de ADC. Ook bleek de methode onafhankelijk van de beoordelaar. In de dagelijkse praktijk ondergaat een groep patiënten met verdenking op borstkanker een invasieve procedure om uitsluitsel te geven. In de toekomst kan mogelijk een aantal van deze invasieve procedures worden voorkomen door het integreren van IVIM in het diagnostische proces

Inter-observer reproducibility of quantitative dynamic susceptibility contrast and diffusion MRI parameters in histogram analysis of gliomas

Background Dynamic-susceptibility contrast and diffusion-weighted imaging are promising techniques in diagnosing glioma grade. Purpose To compare the inter-observer reproducibility of multiple dynamic-susceptibility contrast and diffusion-weighted imaging parameters and to assess their potential in differentiating low- and high-grade gliomas. Material and Methods Thirty patients (16 men; mean age = 40.6 years) with low-grade (n = 13) and high-grade (n = 17) gliomas and known pathology, scanned with dynamic-susceptibility contrast and diffusion-weighted imaging were included retrospectively between March 2006 and March 2014. Three observers used three different methods to define the regions of interest: (i) circles at maximum perfusion and minimum apparent diffusion coefficient; (ii) freeform 2D encompassing the tumor at largest cross-section only; (iii) freeform 3D on all cross-sections. The dynamic-susceptibility contrast curve was analyzed voxelwise: maximum contrast enhancement; time-to-peak; wash-in rate; wash-out rate; and relative cerebral blood volume. The mean was calculated for all regions of interest. For 2D and 3D methods, histogram analysis yielded additional statistics: the minimum and maximum 5% and 10% pixel values of the tumor (min5%, min10%, max5%, max10%). Intraclass correlations coefficients (ICC) were calculated between observers. Low- and high-grade tumors were compared with independent t-tests or Mann-Whitney tests. Results ICCs were highest for 3D freeform (ICC = 0.836-0.986) followed by 2D freeform (ICC = 0.854-0.974) and circular regions of interest (0.141-0.641). High ICC and significant discrimination between low- and high-grade gliomas was found for the following optimized parameters: apparent diffusion coefficient (P <0.001; ICC = 0.641; mean; circle); time-to-peak (P = 0.015; ICC = 0.986; mean; 3D); wash-in rate (P = 0.004; ICC = 0.826; min10%; 3D); wash-out rate (P <0.001; ICC = 0.860; min10%; 2D); and relative cerebral blood volume (

Which patients are prone to undergo disproportionate recurrent CT imaging and should we worry?

Purpose: To identify the spectrum of patients who undergo disproportionate recurrent computed tomography (CT) imaging, and to explore the cumulative effects of radiation exposure and intravenously injected contrast agents in these patients. Methods: This retrospective study investigated all patients who had undergone 40 or more CT scans at a tertiary care center between 2007–2017. Results: Fifty-six patients who had undergone a median of 47 (range: 40–92) CT scans were included. The main reason for CT scanning in all patients was oncological, and 55 patients (98.2 %) had metastatic disease. Twenty-six patients (45.6) had received chemotherapy, 35 (62.5 %) radiation therapy, 38 (67.9 %) targeted therapy, 12 (21.4 %) liver tumor microwave ablation, 44 (78.6 %) major surgery, and 34 (60.7 %) had participated in a therapeutic trial. Mean cumulative effective dose was 187.4 mSv (range: 120.7–278.4 mSv). Median estimated radiation-induced lifetime attributable risk (LAR) of cancer incidence was 1.0 % (range: 0.20–2.36 %). Mean estimated radiation-induced LAR of cancer mortality was 0.68 % (range: 0.18–1.37 %). Mean cumulative volume of intravenously injected iomeprol was 2339 mL (range: 540−3605 mL). Three patients (5.4 %) had developed severely decreased kidney function (estimated glomerular filtration rate between 15 and 29 mL/min per 1.73 m² for at least 3 months). Conclusion: Patients with metastatic disease who experience a relatively long survival may be prone to undergo disproportionate recurrent CT imaging. The non-negligible CT radiation-induced cancer risk and mortality should be taken into account in these patients, while the effect of cumulatively administered CT contrast agents on kidney function requires further investigation

Introduction of the Grayscale Median for Ultrasound Tissue Characterization of the Transplanted Kidney

Ultrasound examination is advised for early post-kidney transplant assessment. Grayscale median (GSM) quantification is novel in the kidney transplant field, with no systematic assessment previously reported. In this prospective cohort study, we measured the post-operative GSM in a large cohort of adult kidney transplant recipients (KTR) who consecutively underwent Doppler ultrasound directly after transplantation (within 24 h), compared it with GSM in nontransplanted patients, and investigated its association with baseline and follow-up characteristics. B-mode images were used to calculate the GSM in KTR and compared with GSM data in nontransplanted patients, as simulated from summary statistics of the literature using a Mersenne twister algorithm. The association of GSM with baseline and 1-year follow-up characteristics were studied by means of linear regression analyses. In 282 KTR (54 ± 15 years old, 60% male), the median (IQR) GSM was 55 (45-69), ranging from 22 to 124 (coefficient of variation = 7.4%), without differences by type of donation (p = 0.28). GSM in KTR was significantly higher than in nontransplanted patients (p < 0.001), and associated with systolic blood pressure, history of cardiovascular disease, and donor age (std. β = 0.12, -0.20, and 0.13, respectively; p < 0.05 for all). Higher early post-kidney transplant GSM was not associated with 1-year post-kidney transplant function parameters (e.g., measured and estimated glomerular filtration rate). The data provided in this study could be used as first step for further research on the application of early postoperative ultrasound in KTR

Clinical Implications of Non-Steatotic Hepatic Fat Fractions on Quantitative Diffusion-Weighted Imaging of the Liver

Diffusion-weighted imaging (DWI) is an important diagnostic tool in the assessment of focal liver lesions and diffuse liver diseases such as cirrhosis and fibrosis. Quantitative DWI parameters such as molecular diffusion, microperfusion and their fractions, are known to be affected when hepatic fat fractions (HFF) are higher than 5.5% (steatosis). However, less is known about the effect on DWI for HFF in the normal non-steatotic range below 5.5%, which can be found in a large part of the population. The aim of this study was therefore to evaluate the diagnostic implications of non-steatotic HFF on quantitative DWI parameters in eight liver segments. For this purpose, eleven healthy volunteers (2 men, mean-age 31.0) were prospectively examined with DWI and three series of in-/out-of-phase dual-echo spoiled gradient-recalled MRI sequences to obtain the HFF and T-2*. DWI data were analyzed using the intravoxel incoherent motion (IVIM) model. Four circular regions (circle divide 22.3 mm) were drawn in each of eight liver segments and averaged. Measurements were divided in group 1 (HFF 5.5%). DWI parameters and T-2* were compared between the three groups and between the segments. It was observed that the molecular diffusion (0.85, 0.72 and 0.49610 23 mm(2)/s) and T-2* (32.2, 27.2 and 21.0 ms) differed significantly between the three groups of increasing HFF (2.18, 3.50 and 19.91%). Microperfusion and its fraction remained similar for different HFF. Correlations with HFF were observed for the molecular diffusion (r = -0.514,

Optimisation of three-dimensional lower jaw resection margin planning using a novel Black Bone magnetic resonance imaging protocol

Background MRI is the optimal method for sensitive detection of tumour tissue and pre-operative staging in oral cancer. When jawbone resections are necessary, the current standard of care for oral tumour surgery in our hospital is 3D virtual planning from CT data. 3D printed jawbone cutting guides are designed from the CT data. The tumour margins are difficult to visualise on CT, whereas they are clearly visible on MRI scans. The aim of this study was to change the conventional CT-based workflow by developing a method for 3D MRI-based lower jaw models. The MRI-based visualisation of the tumour aids in planning bone resection margins. Materials and findings A workflow for MRI-based 3D surgical planning with bone cutting guides was developed using a four-step approach. Key MRI parameters were defined (phase 1), followed by an application of selected Black Bone MRI sequences on healthy volunteers (phase 2). Three Black Bone MRI sequences were chosen for phase 3: standard, fat saturated, and an out of phase sequence. These protocols were validated by applying them on patients (n = 10) and comparison to corresponding CT data. The mean deviation values between the MRI-and the CT-based models were 0.63, 0.59 and 0.80 mm for the three evaluated Black Bone MRI sequences. Phase 4 entailed examination of the clinical value during surgery, using excellently fitting printed bone cutting guides designed from MRI-based lower jaw models, in two patients with oral cancer. The mean deviation of the resection planes was 2.3 mm, 3.8 mm for the fibula segments, and the mean axis deviation was the fibula segments of 1.9 E. Conclusions This study offers a method for 3D virtual resection planning and surgery using cutting guides based solely on MRI imaging. Therefore, no additional CT data are required for 3D virtual planning in oral cancer surgery

Coronary calcium mass scores measured by identical 64-slice MDCT scanners are comparable: a cardiac phantom study

To assess whether absolute mass scores are comparable or differ between identical 64-slice MDCT scanners of the same manufacturer and to compare absolute mass scores to the physical mass and between scan modes using a calcified phantom. A non-moving anthropomorphic phantom with nine calcifications of three sizes and three densities was scanned 30 times on three 64-slice MDCT scanners of manufacturer A and on three 64-slice MDCT scanners of manufacturer B in both sequential and spiral scan mode. The mean mass scores and mass score variabilities of seven calcifications were determined for all scanners; two non-detectable calcifications were omitted. It was analyzed whether identical scanners yielded similar or significantly different mass scores. Furthermore mass scores were compared to the physical mass and mass scores were compared between scan modes. The mass score calibration factor was determined for all scanners. Mass scores obtained on identical scanners were similar for almost all calcifications. Overall, mass score differences between the scanners were small ranging from 1.5 to 3.4% for the total mass scores, and most differences between scanners were observed for high density calcifications. Mass scores were significantly different from the physical mass for almost all calcifications and all scanners. In sequential mode the total physical mass (167.8 mg) was significantly overestimated (+2.3%) for 4 out of 6 scanners. In spiral mode a significant overestimation (+2.5%) was found for system B and a significant underestimation (−1.8%) for two scanners of system A. Mass scores were dependent on the scan mode, for manufacturer A scores were higher in sequential mode and for manufacturer B in spiral mode. For system A using spiral scan mode no differences were found between identical scanners, whereas a few differences were found using sequential mode. For system B the scan mode did not affect the number of different mass scores between identical scanners. Mass scores obtained in the same scan mode are comparable between identical 64-slice CT scanners and identical 64-slice CT scanners on different sites can be used in follow-up studies. Furthermore, for all systems significant differences were found between mass scores and the physical calcium mass; however, the differences were relatively small and consistent

Early imaging biomarkers of lung cancer, COPD and coronary artery disease in the general population:rationale and design of the ImaLife (Imaging in Lifelines) Study

Lung cancer, chronic obstructive pulmonary disease (COPD), and coronary artery disease (CAD) are expected to cause most deaths by 2050. State-of-the-art computed tomography (CT) allows early detection of lung cancer and simultaneous evaluation of imaging biomarkers for the early stages of COPD, based on pulmonary density and bronchial wall thickness, and of CAD, based on the coronary artery calcium score (CACS), at low radiation dose. To determine cut-off values for positive tests for elevated risk and presence of disease is one of the major tasks before considering implementation of CT screening in a general population. The ImaLife (Imaging in Lifelines) study, embedded in the Lifelines study, is designed to establish the reference values of the imaging biomarkers for the big three diseases in a well-defined general population aged 45 years and older. In total, 12,000 participants will undergo CACS and chest acquisitions with latest CT technology. The estimated percentage of individuals with lung nodules needing further workup is around 1-2%. Given the around 10% prevalence of COPD and CAD in the general population, the expected number of COPD and CAD is around 1000 each. So far, nearly 4000 participants have been included. The ImaLife study will allow differentiation between normal aging of the pulmonary and cardiovascular system and early stages of the big three diseases based on low-dose CT imaging. This information can be finally integrated into personalized precision health strategies in the general population