Network


Latest external collaboration on country level. Dive into details by clicking on the dots.

Hotspot


Dive into the research topics where Matthew D. Cham is active.

Publication


Featured researches published by Matthew D. Cham.


American Journal of Roentgenology | 2009

Tumor Response in Patients With Advanced Non–Small Cell Lung Cancer: Perfusion CT Evaluation of Chemotherapy and Radiation Therapy

Jianwei Wang; Ning Wu; Matthew D. Cham; Ying Song

OBJECTIVE The objectives of this study were to prospectively evaluate changes in tumor perfusion after chemoradiation therapy and to investigate the feasibility of perfusion CT for prediction of early tumor response and prognosis of non-small cell lung cancer. SUBJECTS AND METHODS Perfusion CT was performed on an MDCT scanner with 50 mL of iodinated contrast material injected at 4 mL/s. The quality of each functional map was rated from 0 to 3 for 123 patients with confirmed lung cancer. A subset of images was independently reviewed by two radiologists to measure interobserver and intraobserver variability. Perfusion parameters and tumor response were assessed for 35 patients with non-small cell lung cancer who underwent chemoradiation therapy. Progression-free survival and overall survival were analyzed for 22 patients who underwent repeated perfusion CT after therapy. RESULTS Image quality was graded 2 (moderate) or 3 (good) in 68.2% of cases. High interobserver and intraobserver correlations of perfusion parameters were found on qualified images. The patients who responded to chemoradiation therapy had significantly greater blood flow (p = 0.023) than patients who did not respond. The median progression-free survival period of the patients with an increased permeability-surface area product was 4.7 months, significantly lower than the median progression-free survival period of 19.0 months among patients with a decreased permeability-surface area product (p < 0.001). The median overall survival period was 10.6 months for the group with an increased permeability-surface area product, significantly lower than the 19.3 months for the group with a decreased permeability-surface area product (p = 0.004). CONCLUSION Non-small cell lung cancer with higher perfusion is more sensitive to chemoradiation therapy than that with lower perfusion. After chemoradiation therapy, findings at perfusion CT are a significant predictor of early tumor response and overall survival among patients with non-small cell lung cancer.


Radiology | 2010

Ordinal Scoring of Coronary Artery Calcifications on Low-Dose CT Scans of the Chest is Predictive of Death from Cardiovascular Disease

Joseph Shemesh; Claudia I. Henschke; Dorith Shaham; Rowena Yip; Ali Farooqi; Matthew D. Cham; Dorothy I. McCauley; Mildred Chen; James P. Smith; Daniel M. Libby; Mark W. Pasmantier; David F. Yankelevitz

PURPOSE To assess the usefulness of ordinal scoring of the visual assessment of coronary artery calcification (CAC) on low-dose computed tomographic (CT) scans of the chest in the prediction of cardiovascular death. MATERIALS AND METHODS All participants consented to low-dose CT screening according to an institutional review board-approved protocol. The amount of CAC was assessed on ungated low-dose CT scans of the chest obtained between June 2000 and December 2005 in a cohort of 8782 smokers aged 40-85 years. The four main coronary arteries were visually scored, and each participant received a CAC score of 0-12. The date and cause of death was obtained by using the National Death Index. Follow-up time (median, 72.3 months; range, 0.3-91.9 months) was calculated as the time between CT and death, loss to follow-up, or December 31, 2007, whichever came first. Logistic regression analysis was used to determine the risk of mortality according to CAC category adjusted for age, pack-years of cigarette smoking, and sex. The same analysis to determine the hazard ratio for survival from cardiac death was performed by using Cox regression analysis. RESULTS The rate of cardiovascular deaths increased with an increasing CAC score and was 1.2% (43 of 3573 subjects) for a score of 0, 1.8% (66 of 3569 subjects) for a score of 1-3, 5.0% (51 of 1015 subjects) for a score of 4-6, and 5.3% (33 of 625 subjects) for a score of 7-12. With use of subjects with a CAC score of 0 as the reference group, a CAC score of at least 4 was a significant predictor of cardiovascular death (odds ratio [OR], 4.7; 95% confidence interval: 3.3, 6.8; P < .0001); when adjusted for sex, age, and pack-years of smoking, the CAC score remained significant (OR, 2.1; 95% confidence interval: 1.4, 3.1; P = .0002). CONCLUSION Visual assessment of CAC on low-dose CT scans provides clinically relevant quantitative information as to cardiovascular death.


Jacc-cardiovascular Imaging | 2009

Contrast-Enhanced Anatomic Imaging as Compared to Contrast-Enhanced Tissue Characterization for Detection of Left Ventricular Thrombus

Jonathan W. Weinsaft; Raymond J. Kim; Michael I Ross; Daniel G. Krauser; Shant Manoushagian; Troy LaBounty; Matthew D. Cham; James K. Min; Kirsten O Healy; Yi Wang; Michele Parker; Mary J. Roman; Richard B. Devereux

OBJECTIVES This study sought to compare contrast-enhanced anatomic imaging and contrast-enhanced tissue characterization (delayed-enhancement cardiac magnetic resonance [DE-CMR]) for left ventricular (LV) thrombus detection. BACKGROUND Contrast echocardiography (echo) detects LV thrombus based on anatomic appearance, whereas DE-CMR imaging detects thrombus based on tissue characteristics. Although DE-CMR has been validated as an accurate technique for thrombus, its utility compared with contrast echo is unknown. METHODS Multimodality imaging was performed in 121 patients at high risk for thrombus due to myocardial infarction or heart failure. Imaging included 3 anatomic imaging techniques for thrombus detection (contrast echo, noncontrast echo, cine-CMR) and a reference of DE-CMR tissue characterization. LV structural parameters were quantified to identify markers for thrombus and predictors of additive utility of contrast-enhanced thrombus imaging. RESULTS Twenty-four patients had thrombus by DE-CMR. Patients with thrombus had larger infarcts (by DE-CMR), more aneurysms, and lower LV ejection fraction (by CMR and echo) than those without thrombus. Contrast echo nearly doubled sensitivity (61% vs. 33%, p < 0.05) and yielded improved accuracy (92% vs. 82%, p < 0.01) versus noncontrast echo. Patients who derived incremental diagnostic utility from DE-CMR had lower LV ejection fraction versus those in whom noncontrast echo alone accurately assessed thrombus (35 +/- 9% vs. 42 +/- 14%, p < 0.01), with a similar trend for patients who derived incremental benefit from contrast echo (p = 0.08). Contrast echo and cine-CMR closely agreed on the diagnosis of thrombus (kappa = 0.79, p < 0.001). Thrombus prevalence was lower by contrast echo than DE-CMR (p < 0.05). Thrombus detected by DE-CMR but not by contrast echo was more likely to be mural in shape or, when apical, small in volume (p < 0.05). CONCLUSIONS Echo contrast in high-risk patients markedly improves detection of LV thrombus, but does not detect a substantial number of thrombi identified by DE-CMR tissue characterization. Thrombi detected by DE-CMR but not by contrast echo are typically mural in shape or small in volume.


IEEE Transactions on Biomedical Engineering | 2010

Automatic Left Ventricle Segmentation Using Iterative Thresholding and an Active Contour Model With Adaptation on Short-Axis Cardiac MRI

Hae-Yeoun Lee; Noel C.F. Codella; Matthew D. Cham; Jonathan W. Weinsaft; Yi Wang

An automatic left ventricle (LV) segmentation algorithm is presented for quantification of cardiac output and myocardial mass in clinical practice. The LV endocardium is first segmented using region growth with iterative thresholding by detecting the effusion into the surrounding myocardium and tissues. Then the epicardium is extracted using the active contour model guided by the endocardial border and the myocardial signal information estimated by iterative thresholding. This iterative thresholding and active contour model with adaptation (ITHACA) algorithm was compared to manual tracing used in clinical practice and the commercial MASS Analysis software (General Electric) in 38 patients, with Institutional Review Board (IRB) approval. The ITHACA algorithm provided substantial improvement over the MASS software in defining myocardial borders. The ITHACA algorithm agreed well with manual tracing with a mean difference of blood volume and myocardial mass being 2.9 ± 6.2 mL (mean ± standard deviation) and -0.9 ± 16.5 g, respectively. The difference was smaller than the difference between manual tracing and the MASS software (approximately -20.0 ± 6.9 mL and -1.0 ± 20.2 g, respectively). These experimental results support that the proposed ITHACA segmentation is accurate and useful for clinical practice.


Journal of Hypertension | 2008

Effects of papillary muscles and trabeculae on left ventricular quantification: increased impact of methodological variability in patients with left ventricular hypertrophy.

Matthew Janik; Matthew D. Cham; Michael I Ross; Yi Wang; Noel C.F. Codella; James K. Min; Martin R. Prince; Shant Manoushagian; Peter M. Okin; Richard B. Devereux; Jonathan W. Weinsaft

Background Accurate quantification of left ventricular mass and ejection fraction is important for patients with left ventricular hypertrophy. Although cardiac magnetic resonance imaging has been proposed as a standard for these indices, prior studies have variably included papillary muscles and trabeculae in myocardial volume. This study investigated the contribution of papillary muscles and trabeculae to left ventricular quantification in relation to the presence and pattern of hypertrophy. Methods Cardiac magnetic resonance quantification was performed on patients with concentric or eccentric hypertrophy and normal controls (20 per group) using two established methods that included papillary muscles and trabeculae in myocardium (method 1) or intracavitary (method 2) volumes. Results Among all patients, papillary muscles and trabeculae accounted for 10.5% of ventricular mass, with greater contribution with left ventricular hypertrophy than normals (12.6 vs. 6.2%, P < 0.001). Papillary muscles and trabeculae mass correlated with ventricular wall mass (r = 0.53) and end-diastolic volume (r = 0.52; P < 0.001). Papillary muscles and trabeculae inclusion in myocardium (method 1) yielded smaller differences with a standard of mass quantification from linear ventricular measurements than did method 2 (P < 0.001). Method 1 in comparison with method 2 yielded differences in left ventricular mass, ejection fraction and volume in all groups, especially in patients with hypertrophy: the difference in ventricular mass index was three-fold to six-fold greater in hypertrophy than normal groups (P < 0.001). Difference in ejection fraction, greatest in concentric hypertrophy (P < 0.001), was independently related to papillary muscles and trabeculae mass, ventricular wall mass, and smaller ventricular volume (R2 = 0.56, P < 0.001). Conclusion Established cardiac magnetic resonance methods yield differences in left ventricular quantification due to variable exclusion of papillary muscles and trabeculae from myocardium. The relative impact of papillary muscles and trabeculae exclusion on calculated mass and ejection fraction is increased among patients with hypertrophy-associated left ventricular remodeling.


Radiology | 2008

Left Ventricle: Automated Segmentation by Using Myocardial Effusion Threshold Reduction and Intravoxel Computation at MR Imaging

Noel C.F. Codella; Jonathan W. Weinsaft; Matthew D. Cham; Matthew Janik; Martin R. Prince; Yi Wang

UNLABELLED This retrospective analysis of existing patient data had institutional review board approval and was performed in compliance with HIPAA. No informed consent was required. The purpose of the study was to develop and validate an algorithm for automated segmentation of the left ventricular (LV) cavity that accounts for papillary and/or trabecular muscles and partial voxels in cine magnetic resonance (MR) images, an algorithm called LV Myocardial Effusion Threshold Reduction with Intravoxel Computation (LV-METRIC). The algorithm was validated in biologic phantoms, and its results were compared with those of manual tracing, as well as those of a commercial automated segmentation software (MASS [MR Analytical Software System]), in 38 subjects. LV-METRIC accuracy in vitro was 98.7%. Among the 38 subjects studied, LV-METRIC and MASS ejection fraction estimations were highly correlated with manual tracing (R(2) = 0.97 and R(2) = 0.95, respectively). Ventricular volume estimations were smaller with LV-METRIC and larger with MASS than those calculated by using manual tracing, though all results were well correlated (R(2) = 0.99). LV-METRIC volume measurements without partial voxel interpolation were statistically equivalent to manual tracing results (P > .05). LV-METRIC had reduced intraobserver and interobserver variability compared with other methods. MASS required additional manual intervention in 58% of cases, whereas LV-METRIC required no additional corrections. LV-METRIC reliably and reproducibly measured LV volumes. SUPPLEMENTAL MATERIAL http://radiology.rsnajnls.org/cgi/content/full/248/3/1004/DC1.


Journal of Magnetic Resonance Imaging | 2008

Effective Motion-Sensitizing Magnetization Preparation for Black Blood Magnetic Resonance Imaging of the Heart

Thanh D. Nguyen; Pascal Spincemaille; Matthew D. Cham; Jonathan W. Weinsaft; Martin R. Prince; Yi Wang

To investigate the effectiveness of flow signal suppression of a motion‐sensitizing magnetization preparation (MSPREP) sequence and to optimize a 2D MSPREP steady‐state free precession (SSFP) sequence for black blood imaging of the heart.


Journal of Magnetic Resonance Imaging | 2008

A fast navigator-gated 3D sequence for delayed enhancement MRI of the myocardium: comparison with breathhold 2D imaging.

Thanh D. Nguyen; Pascal Spincemaille; Jonathan W. Weinsaft; Bernard Y. Ho; Matthew D. Cham; Martin R. Prince; Yi Wang

To develop a rapid navigator‐gated three‐dimensional (3DNAV) delayed‐enhancement MRI (DE‐MRI) sequence for myocardial viability assessment, and to evaluate its performance with breathhold two‐dimensional (2DBH) DE‐MRI sequence as the reference standard.


Jacc-cardiovascular Imaging | 2014

Value of CMR for the Differential Diagnosis of Cardiac Masses

Pablo Pazos-López; Eduardo Pozo; Maria Eduarda Menezes de Siqueira; Inés García-Lunar; Matthew D. Cham; Adam Jacobi; Frank Macaluso; Valentin Fuster; Jagat Narula; Javier Sanz

OBJECTIVES The goal of this study was to evaluate the diagnostic value of CMR features for the differential diagnosis of cardiac masses. BACKGROUND Differentiation of cardiac tumors and thrombi and differentiation of benign from malignant cardiac neoplasms is often challenging but important in clinical practice. Studies assessing the value of cardiac magnetic resonance (CMR) in this regard are scarce. METHODS We reviewed the CMR scans of patients with a definite cardiac thrombus or tumor. Mass characteristics on cine, T1-weighted turbo spin echo (T1w-TSE) and T2-weighted turbo spin echo (T2w-TSE), contrast first-pass perfusion (FPP), post-contrast inversion time (TI) scout, and late gadolinium enhancement (LGE) sequences were analyzed. RESULTS There were 84 thrombi, 17 benign tumors, and 25 malignant tumors in 116 patients. Morphologically, thrombi were smaller (median area 1.6 vs. 8.5 cm(2); p < 0.0001), more homogeneous (99% vs. 46%; p < 0.0001), and less mobile (13% vs. 33%; p = 0.007) than tumors. Hyperintensity compared with normal myocardium on T2w-TSE, FPP, and LGE were more common in tumors than in thrombi (85% vs. 42%, 70% vs. 4%, and 71% vs. 5%, respectively; all p < 0.0001). A pattern of hyperintensity/isointensity (compared with normal myocardium) with short TI and hypointensity with long TI was very frequent in thrombi (94%), rare in tumors (2%), and had the highest accuracy (95%) for the differentiation of both entities. Regarding the characterization of neoplastic masses, malignant tumors were larger (median area 11.9 vs. 6.3 cm(2); p = 0.006) and more frequently exhibited FPP (84% vs. 47%; p = 0.03) and LGE (92% vs. 41%; p = 0.001). The ability of CMR features to distinguish benign from malignant neoplasms was moderate, with LGE showing the highest accuracy (79%). CONCLUSIONS CMR features demonstrated excellent accuracy for the differentiation of cardiac thrombi from tumors and can be helpful for the distinction of benign versus malignant neoplasms.


European Journal of Echocardiography | 2015

Low- vs. standard-dose coronary artery calcium scanning

Harvey S. Hecht; Maria Eduarda Menezes de Siqueira; Matthew D. Cham; Rowena Yip; Jagat Narula; Claudia I. Henschke; David Yankelevitz

AIMS This study was designed to assess the accuracy of coronary artery calcium scans (CACS) acquired at radiation doses below mammography and low-dose lung scanning, compared with standard-dose CACS. METHODS AND RESULTS CACS was performed in 102 consecutive patients at 120 kVp; all were imaged at standard-dose mAs levels ranging from 30 to 80 mAs determined by their weight, with iterative reconstruction (IR) level 3, and at 50% of the standard-dose mAs with IR level 7 to compensate for the expected increased noise with lower mAs. The low- vs. standard-dose mAs was 24.5 ± 8.8 vs. 48.5 ± 17.8 mAs (P < 0.0001), and the radiation exposure was 0.37 ± 0.16 vs. 0.76 + 0.34 mSv (P < 0.0001). The Agatston score correlation between the low and high dose was excellent (r = 0.998, P < 0.0001) over a range of scores from 0 to 2512. The weighted kappa for agreement of standard CAC risk categories was 0.95 (95% CI 0.83-0.97). The mean of the differences between individual low- and standard-dose Agatston scores was 17.4 ± 25.8, lower than the reported variability of two scans performed with the same mAs. CONCLUSION There was excellent agreement of CACS-based risk classification at low and standard doses, with lower interscan variability than with reported identical doses. The low-dose CACS radiation exposure was less than the approved screening tools of mammography and low-dose lung scanning.

Collaboration


Dive into the Matthew D. Cham's collaboration.

Top Co-Authors

Avatar
Top Co-Authors

Avatar

Claudia I. Henschke

Icahn School of Medicine at Mount Sinai

View shared research outputs
Top Co-Authors

Avatar
Top Co-Authors

Avatar

David F. Yankelevitz

Icahn School of Medicine at Mount Sinai

View shared research outputs
Top Co-Authors

Avatar
Top Co-Authors

Avatar

Jagat Narula

Icahn School of Medicine at Mount Sinai

View shared research outputs
Top Co-Authors

Avatar
Top Co-Authors

Avatar
Top Co-Authors

Avatar

Valentin Fuster

Icahn School of Medicine at Mount Sinai

View shared research outputs
Top Co-Authors

Avatar

Javier Sanz

Icahn School of Medicine at Mount Sinai

View shared research outputs
Researchain Logo
Decentralizing Knowledge