scholarly journals Optimal Mass Transport Kinetic Modeling for Head and Neck DCE-MRI: Initial Analysis

2019 ◽  
Author(s):  
Rena Elkin ◽  
Saad Nadeem ◽  
Eve LoCastro ◽  
Ramesh Paudyal ◽  
Vaios Hatzoglou ◽  
...  
Keyword(s):  
Mass Transport ◽  
Head And Neck ◽  
Tissue Concentration ◽  
Data Driven ◽  
Pharmacokinetic Parameters ◽  
Mri Imaging ◽  
Transfer Constant ◽  
Dce Mri ◽  
Optimal Mass Transport ◽  
The Mean

AbstractCurrent state-of-the-art models for estimating the pharmacokinetic parameters do not account for intervoxel movement of the contrast agent (CA). We introduce an optimal mass transport (OMT) formulation that naturally handles intervoxel CA movement and distinguishes between advective and diffusive flows. Ten patients with head and neck squamous cell carcinoma (HNSCC) were enrolled in the study between June 2014 and October 2015 and under-went DCE MRI imaging prior to beginning treatment. The CA tissue concentration information was taken as the input in the data-driven OMT model. The OMT approach was tested on HNSCC DCE data that provides quantitative information for forward flux (ΦF) and backward flux (ΦB). OMT-derived ΦF was compared with the volume transfer constant for CA, Ktrans, derived from the Extended Tofts Model (ETM). The OMT-derived flows showed a consistent jump in the CA diffusive behavior across the images in accordance with the known CA dynamics. The mean forward flux was 0.0082 ± 0.0091 (min-1) whereas the mean advective component was 0.0052±0.0086 (min-1) in the HNSCC patients. The diffusive percentages in forward and backward flux ranged from 8.67–18.76% and 12.76–30.36%, respectively. The OMT model accounts for intervoxel CA movement and results show that the forward flux (ΦF) is comparable with the ETM-derived Ktrans. This is a novel data-driven study based on optimal mass transport principles applied to patient DCE imaging to analyze CA flow in HNSCC.

scholarly journals Optimal mass transport kinetic modeling for head and neck DCE‐MRI: Initial analysis

2019 ◽  
Vol 82 (6) ◽  
pp. 2314-2325
Author(s):  
Rena Elkin ◽  
Saad Nadeem ◽  
Eve LoCastro ◽  
Ramesh Paudyal ◽  
Vaios Hatzoglou ◽  
...  
Keyword(s):  
Mass Transport ◽  
Head And Neck ◽  
Kinetic Modeling ◽  
Dce Mri ◽  
Optimal Mass Transport ◽  
Initial Analysis ◽  
Transport Kinetic

Phase II Study of Sunitinib in Recurrent or Metastatic Squamous Cell Carcinoma of the Head and Neck: GORTEC 2006-01

2010 ◽  
Vol 28 (1) ◽  
pp. 21-28 ◽  
Author(s):  
Jean-Pascal H. Machiels ◽  
Stéphanie Henry ◽  
Sylvie Zanetta ◽  
Marie-Christine Kaminsky ◽  
Nicolas Michoux ◽  
...  
Keyword(s):  
Squamous Cell Carcinoma ◽  
Disease Control ◽  
Cell Carcinoma ◽  
Head And Neck ◽  
Squamous Cell ◽  
Evaluation Criteria ◽  
Endothelial Permeability ◽  
Transfer Constant ◽  
Dce Mri ◽  
Grade 5

PurposeTo assess the efficacy and toxicity of sunitinib monotherapy in palliative squamous cell carcinoma of the head and neck (SCCHN).Patients and MethodsThirty-eight patients with SCCHN having evidence of progressive disease (PD) were treated with sunitinib 37.5 mg/d given continuously until PD or unacceptable toxicity. The primary end point was the rate of disease control, defined as stable disease (SD) or partial response (PR) at 6 to 8 weeks after treatment initiation (two-stage design, Simon). Dynamic contrast-enhanced magnetic resonance imaging (DCE-MRI) was performed in a subset of patients before and 6 to 8 weeks after treatment. The volume transfer constant of the contrast agent (Ktrans) was used to measure changes in the microcirculation blood flow and endothelial permeability of the tumor.ResultsA PR was observed in one patient, SD in 18, and PD in 19 (Response Evaluation Criteria in Solid Tumors [RECIST]), resulting in a disease control rate of 50%. Among the 18 patients with SD, there were five unconfirmed PRs and six additional minor responses. A significant decrease in Ktranswas seen in three of the four patients who received DCE-MRI monitoring. Grade 5 head and neck bleeds occurred in four patients. Local complications, including the appearance or worsening of tumor skin ulceration or tumor fistula, were recorded in 15 patients.ConclusionSunitinib demonstrated modest activity in palliative SSCHN. The severity of some of the complications highlights the importance of improved patient selection for future studies with sunitinib in head and neck cancer. Sunitinib should not be used outside clinical trials in SSCHN.

scholarly journals Quantitative Evaluation of Temporal Regularizers in Compressed Sensing Dynamic Contrast Enhanced MRI of the Breast

2017 ◽  
Vol 2017 ◽  
pp. 1-11 ◽  
Author(s):  
Dong Wang ◽  
Lori R. Arlinghaus ◽  
Thomas E. Yankeelov ◽  
Xiaoping Yang ◽  
David S. Smith
Keyword(s):  
Compressed Sensing ◽  
Volume Fraction ◽  
Extracellular Volume ◽  
Pharmacokinetic Parameters ◽  
Transfer Constant ◽  
Dce Mri ◽  
Dynamic Contrast Enhanced ◽  
Contrast Enhanced ◽  
Space Data

Purpose. Dynamic contrast enhanced magnetic resonance imaging (DCE-MRI) is used in cancer imaging to probe tumor vascular properties. Compressed sensing (CS) theory makes it possible to recover MR images from randomly undersampled k-space data using nonlinear recovery schemes. The purpose of this paper is to quantitatively evaluate common temporal sparsity-promoting regularizers for CS DCE-MRI of the breast. Methods. We considered five ubiquitous temporal regularizers on 4.5x retrospectively undersampled Cartesian in vivo breast DCE-MRI data: Fourier transform (FT), Haar wavelet transform (WT), total variation (TV), second-order total generalized variation (TGVα2), and nuclear norm (NN). We measured the signal-to-error ratio (SER) of the reconstructed images, the error in tumor mean, and concordance correlation coefficients (CCCs) of the derived pharmacokinetic parameters Ktrans (volume transfer constant) and ve (extravascular-extracellular volume fraction) across a population of random sampling schemes. Results. NN produced the lowest image error (SER: 29.1), while TV/TGVα2 produced the most accurate Ktrans (CCC: 0.974/0.974) and ve (CCC: 0.916/0.917). WT produced the highest image error (SER: 21.8), while FT produced the least accurate Ktrans (CCC: 0.842) and ve (CCC: 0.799). Conclusion. TV/TGVα2 should be used as temporal constraints for CS DCE-MRI of the breast.

Dynamic contrast-enhanced magnetic resonance imaging (DCE-MRI) as a biomarker for the effect of PTK787/ZK 222584 (PTK/ZK) as second-line mono-therapy in patients with stage IIIB or stage IV non-small cell lung cancer (NSCLC)

2007 ◽  
Vol 25 (18_suppl) ◽  
pp. 7676-7676 ◽  
Author(s):  
B. Morgan ◽  
M. A. Horsfield ◽  
J. Stattaus ◽  
A. Khalil ◽  
T. C. Gauler ◽  
...  
Keyword(s):  
Growth Factor Receptor ◽  
Stage Iv ◽  
Compartment Model ◽  
Response Assessment ◽  
Response To Treatment ◽  
Mri Imaging ◽  
Transfer Constant ◽  
Dce Mri ◽  
Disease Stabilization ◽  
The Difference

7676 Background: Overexpression of vascular endothelial growth factor receptor (VEGF-R) in NSCLC-tumors is linked to poor prognosis and shorter overall survival. PTK/ZK (PTK/ZK) is a novel, oral, anti-angiogenic compound blocking all currently known VEGF receptors (VEGF-R1–3). DCE-MRI measures early changes in tumour-associated vasculature in response to treatment and has been successfully used as a biomarker for biological activity of PTK/ZK in liver metastases from colorectal cancer. Methods: This is a prospective, multi- centre, phase-II study of PTK/ZK in pretreated patients with advanced stage NSCLC. 54 patients (pts) received 1,250 mg PTK/ZK once daily (qd), followed by 58 patients receiving 1,250 mg (500 am + 750 mg pm) PTK/ZK twice daily (bid). Response evaluation was based on RECIST. Disease stabilization of at least 12 weeks based on CT/MRI-imaging was defined as clinically relevant drug activity. DCE-MRI was performed 2- 4 hours after PTK/ZK administration, on day 2 and at day 28. Contrast enhancement for the whole tumour was assessed by calculating the transfer constant (Ktrans) using a two-compartment model. Results: DCE-MRI was performed successfully in 35 pts in the qd cohort on day 2 and 29 pts in the qd cohort at day 28. There was a statistically significant mean reduction in Ktrans at day 2 of 35.2 % (p<0.0001, N=35, paired ‘t’ test) and at Day 28 of 38.1% (p<0.0001, N=29). 32 pts with day 2 DCE- MRI were evaluable for response assessment with 10 (31%) achieving SD at 12 weeks and 22 (69%) with progressive disease (PD). Both the SD group and the PD group had significant mean reductions in Ktrans at day 2 (39.4% and 37.1%, respectively). However, the difference between SD and PD was not statistically significant. Data for the bid cohort will be presented at the meeting. Conclusions: PTK/ZK causes statistically significant reduction in tumour vascular parameters of lung tumours. Ktrans has previously been shown to correlate with clinical outcome. However, for the qd cohort, no correlation could be demonstrated. This may be due to the limitation of the sample size as well as the heterogeneity of the targeted lesions selected for this study. [Table: see text]

scholarly journals Consistency of Pituitary Adenoma: Prediction by Pharmacokinetic Dynamic Contrast-Enhanced MRI and Comparison with Histologic Collagen Content

Cancers ◽  
2021 ◽  
Vol 13 (15) ◽  
pp. 3914
Author(s):  
Kiyohisa Kamimura ◽  
Masanori Nakajo ◽  
Manisha Bohara ◽  
Daigo Nagano ◽  
Yoshihiko Fukukura ◽  
...  
Keyword(s):  
Pituitary Adenoma ◽  
Blood Plasma ◽  
Unit Volume ◽  
Collagen Content ◽  
Pharmacokinetic Analysis ◽  
Pharmacokinetic Parameters ◽  
Transfer Constant ◽  
Dce Mri ◽  
Dynamic Contrast Enhanced ◽  
Contrast Enhanced

Prediction of tumor consistency is valuable for planning transsphenoidal surgery for pituitary adenoma. A prospective study was conducted involving 49 participants with pituitary adenoma to determine whether quantitative pharmacokinetic analysis of dynamic contrast-enhanced magnetic resonance imaging (DCE-MRI) is useful for predicting consistency of adenomas. Pharmacokinetic parameters in the adenomas including volume of extravascular extracellular space (EES) per unit volume of tissue (ve), blood plasma volume per unit volume of tissue (vp), volume transfer constant between blood plasma and EES (Ktrans), and rate constant between EES and blood plasma (kep) were obtained. The pharmacokinetic parameters and the histologic percentage of collagen content (PCC) were compared between soft and hard adenomas using Mann–Whitney U test. Pearson’s correlation coefficient was used to correlate pharmacokinetic parameters with PCC. Hard adenomas showed significantly higher PCC (44.08 ± 15.14% vs. 6.62 ± 3.47%, p < 0.01), ve (0.332 ± 0.124% vs. 0.221 ± 0.104%, p < 0.01), and Ktrans (0.775 ± 0.401/min vs. 0.601 ± 0.612/min, p = 0.02) than soft adenomas. Moreover, a significant positive correlation was found between ve and PCC (r = 0.601, p < 0.01). The ve derived using DCE-MRI may have predictive value for consistency of pituitary adenoma.

scholarly journals Consistency of Pituitary Adenoma: Prediction by Pharmacokinetic Dynamic Contrast-enhanced MRI and Comparison with Histologic Collagen Content

2021 ◽  
Author(s):  
Kiyohisa Kamimura ◽  
Masanori Nakajo ◽  
Manisha Bohara ◽  
Daigo Nagano ◽  
Yoshihiko Fukukura ◽  
...  
Keyword(s):  
Pituitary Adenoma ◽  
Blood Plasma ◽  
Unit Volume ◽  
Collagen Content ◽  
Pharmacokinetic Analysis ◽  
Pharmacokinetic Parameters ◽  
Transfer Constant ◽  
Dce Mri ◽  
Dynamic Contrast Enhanced ◽  
Contrast Enhanced

Prediction of tumor consistency is valuable for planning transsphenoidal surgery for pituitary adenoma. A prospective study was conducted involving 49 participants with pituitary adenoma to determine whether quantitative pharmacokinetic analysis of dynamic contrast-enhanced magnetic resonance imaging (DCE-MRI) is useful for predicting consistency of adenoma. Pharmacokinetic parameters in the adenomas including volume of extravascular extracellular space (EES) per unit volume of tissue (ve), blood plasma volume per unit volume of tissue (vp), volume transfer constant between blood plasma and EES (Ktrans), and rate constant between EES and blood plasma (kep) were obtained. The pharmacokinetic parameters and the histologic percentage of collagen content (PCC) were compared between soft and hard adenomas using Mann&ndash;Whitney U test. Pearson&rsquo;s correla-tion coefficient was used to correlate pharmacokinetic parameters with PCC. Hard adenomas showed significantly higher PCC (44.08 &plusmn; 15.14% vs. 6.62 &plusmn; 3.47%, p &lt; 0.01), ve (0.332 &plusmn; 0.124% vs. 0.221 &plusmn; 0.104%, p = 0.02), and Ktrans (0.775 &plusmn; 0.401/min vs. 0.601 &plusmn; 0.612/min, p = 0.02) than soft adenomas. Moreover, a significant positive correlation was found between ve and PCC (r = 0.601, p &lt; 0.01). The ve derived using DCE-MRI may have predictive value for consistency of pituitary adenoma.

Dynamic contrast enhancement magnetic resonance imaging (DCE-MRI) for differential diagnosis in head and neck cancers

2012 ◽  
Vol 81 (4) ◽  
pp. 784-788 ◽  
Author(s):  
Francis Kar-ho Lee ◽  
Ann Dorothy King ◽  
Brigitte Buig-Yue Ma ◽  
David Ka-wai Yeung
Keyword(s):  
Magnetic Resonance Imaging ◽  
Differential Diagnosis ◽  
Magnetic Resonance ◽  
Head And Neck ◽  
Contrast Enhancement ◽  
Head And Neck Cancers ◽  
Resonance Imaging ◽  
Dynamic Contrast Enhancement ◽  
Dce Mri

scholarly journals Blood Oxygenation Level Dependent Magnetic Resonance Imaging (MRI), Dynamic Contrast Enhanced MRI and Diffusion Weighted MRI for Benign and Malignant Breast Cancer Discrimination: A Preliminary Experience

Cancers ◽  
2021 ◽  
Vol 13 (10) ◽  
pp. 2421
Author(s):  
Roberta Fusco ◽  
Vincenza Granata ◽  
Mauro Mattace Raso ◽  
Paolo Vallone ◽  
Alessandro Pasquale De Rosa ◽  
...  
Keyword(s):  
Standard Deviation ◽  
Univariate Analysis ◽  
Mean Value ◽  
Blood Oxygenation ◽  
Breast Lesions ◽  
Dce Mri ◽  
Malignant Lesions ◽  
The Mean ◽  
And Diffusion ◽  
Skewness And Kurtosis

Purpose. To combine blood oxygenation level dependent magnetic resonance imaging (BOLD-MRI), dynamic contrast enhanced MRI (DCE-MRI), and diffusion weighted MRI (DW-MRI) in differentiation of benign and malignant breast lesions. Methods. Thirty-seven breast lesions (11 benign and 21 malignant lesions) pathologically proven were included in this retrospective preliminary study. Pharmaco-kinetic parameters including Ktrans, kep, ve, and vp were extracted by DCE-MRI; BOLD parameters were estimated by basal signal S0 and the relaxation rate R2*; and diffusion and perfusion parameters were derived by DW-MRI (pseudo-diffusion coefficient (Dp), perfusion fraction (fp), and tissue diffusivity (Dt)). The correlation coefficient, Wilcoxon-Mann-Whitney U-test, and receiver operating characteristic (ROC) analysis were calculated and area under the ROC curve (AUC) was obtained. Moreover, pattern recognition approaches (linear discrimination analysis and decision tree) with balancing technique and leave one out cross validation approach were considered. Results. R2* and D had a significant negative correlation (−0.57). The mean value, standard deviation, Skewness and Kurtosis values of R2* did not show a statistical significance between benign and malignant lesions (p > 0.05) confirmed by the ‘poor’ diagnostic value of ROC analysis. For DW-MRI derived parameters, the univariate analysis, standard deviation of D, Skewness and Kurtosis values of D* had a significant result to discriminate benign and malignant lesions and the best result at the univariate analysis in the discrimination of benign and malignant lesions was obtained by the Skewness of D* with an AUC of 82.9% (p-value = 0.02). Significant results for the mean value of Ktrans, mean value, standard deviation value and Skewness of kep, mean value, Skewness and Kurtosis of ve were obtained and the best AUC among DCE-MRI extracted parameters was reached by the mean value of kep and was equal to 80.0%. The best diagnostic performance in the discrimination of benign and malignant lesions was obtained at the multivariate analysis considering the DCE-MRI parameters alone with an AUC = 0.91 when the balancing technique was considered. Conclusions. Our results suggest that the combined use of DCE-MRI, DW-MRI and/or BOLD-MRI does not provide a dramatic improvement compared to the use of DCE-MRI features alone, in the classification of breast lesions. However, an interesting result was the negative correlation between R2* and D.

scholarly journals Noise in Otolaryngology – Head and Neck Surgery operating rooms: a systematic review

2021 ◽  
Vol 50 (1) ◽  
Author(s):  
Gianluca Sampieri ◽  
Amirpouyan Namavarian ◽  
Marc Levin ◽  
Justine Philteos ◽  
Jong Wook Lee ◽  
...  
Keyword(s):  
Systematic Review ◽  
Head And Neck ◽  
Patient Outcomes ◽  
Noise Level ◽  
Neck Surgery ◽  
Operating Rooms ◽  
Head And Neck Surgery ◽  
Noise Levels ◽  
Surgical Performance ◽  
The Mean

Abstract Objective Noise in operating rooms (OR) can have negative effects on both patients and surgical care workers. Noise can also impact surgical performance, team communication, and patient outcomes. Such implications of noise have been studied in orthopedics, neurosurgery, and urology. High noise levels have also been demonstrated in Otolaryngology-Head and Neck Surgery (OHNS) procedures. Despite this, no previous study has amalgamated the data on noise across all OHNS ORs to determine how much noise is present during OHNS surgeries. This study aims to review all the literature on noise associated with OHNS ORs and procedures. Methods Ovid Medline, EMBASE Classic, Pubmed, SCOPUS and Cochrane databases were searched following PRISMA guidelines. Data was collected on noise measurement location and surgery type. Descriptive results and statistical analysis were completed using Stata. Results This search identified 2914 articles. Final inclusion consisted of 22 studies. The majority of articles analyzed noise level exposures during mastoid surgery (18/22, 82%). The maximum noise level across all OHNS ORs and OHNS cadaver studies were 95.5 a-weighted decibels (dBA) and 106.6 c-weighted decibels (dBC), respectively (P = 0.2068). The mean noise level across all studies was significantly higher in OHNS cadaver labs (96.9 dBA) compared to OHNS ORs (70.1 dBA) (P = 0.0038). When analyzed together, the mean noise levels were 84.9 dBA. Conclusions This systematic review demonstrates that noise exposure in OHNS surgery exceeds safety thresholds. Further research is needed to understand how noise may affect team communication, surgical performance and patient outcomes in OHNS ORs. Graphical abstract

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