List of FireVoxel publications May 2019-May 2020.
A
3D printed patient-specific dual compartment breast phantom for validating MRI
acquisition and analysis techniques.
Wake N, Ianniello C, Brown R, Walczyk J,
Moy L, Collins C, Rusinek H.
Trans Additive Manufacturing Meets
Medicine 1(1): 11-12, 2019.
doi:10.18416/AMMM.2019.1909S12T01
Accuracy
of magnetic resonance imaging texture analysis in differentiating low-grade
from high-grade gliomas: systematic review and meta-analysis.
Wang Q, Lei D, Yuan Y, Zhao H.
BMJ Open 9(9):e027144 (epub. in press),
2019.
doi:10.1136/bmjopen-2018-027144
Added
value of histogram analysis of apparent diffusion coefficient maps for
differentiating triple-negative breast cancer from other subtypes of breast
cancer on standard MRI.
Liu H-L, Zong M, Wei H, Wang C, Lou J-J,
Wang S-Q, Zou Q-G, Jiang Y-N.
Cancer Manag Res 11: 8239–8247, 2019.
doi:10.2147/CMAR.S210583 PMCID: PMC6735623 PMID: 31564982
A
new method for cartilage evaluation in femoroacetabular impingement using
quantitative T2 Magnetic Resonance Imaging: preliminary validation against
arthroscopic findings.
Ben-Eliezer N, Raya JG, Babb JS, Youm T,
Sodickson DK, Lattanzi R.
Cartilage (epub, in press), 2019.
doi.org/10.1177/1947603519870852
A
novel MRI tool for evaluating cortical bone thickness of the proximal femur.
Ramme AJ, Vira S, Hotca A, Miller R,
Welbeck A, Honig S, Egol KA, Rajapakse CS, Chang G.
Bull Hosp Joint Disease 77(2): 115-121,
2019.
Apparent
diffusion coefficient-based histogram analysis differentiates histological
subtypes of periampullary adenocarcinoma.
Lu J-Y, Yu H, Zou X-L, Li Z, Hu X-M, Shen
Y-Q, Hu D-Y.
World J Gastroenterol 25(40): 6116–6128,
2019.
doi:10.3748/wjg.v25.i40.6116 PMCID:
PMC6824280 PMID: 31686767
Application
of apparent diffusion coefficient values derived from diffusion-weighted
imaging for assessing different sized metastatic lymph nodes in cervical
cancers.
Aining Z, Song J, Ma Z, Chen T.
Acta Radiol (epub, in press), 2019.
doi:10.1177/0284185119879686
Application
of FireVoxel software to measure the volume of intracranial hematoma.
Guangwei F, Shangfeng G, Chengkun Y, Xiaofeng
C, Shun L, Jun L.
J Clinical Neurosurgery 16(1): 33-37,
2019.
Application
value of MRI apparent diffusion coefficient (ADC) before and after radical
mastectomy for patients with breast cancer.
Chen L, Liu L, Zhao F, Li X, Li B, Lu S.
Int J Clin Exp Med 12(9):11538-11546,
2019.
A
study of the correlation of perfusion parameters in high-resolution GRASP MRI
with microvascular density in lung cancer.
Chen L, Zeng X, Wu Y, Yan X, Huang X,
Chen H, Zhang J, Wang J, Feng L.
J Magn Reson Imaging 49(4): 1186-1194,
2019.
doi.org/10.1002/jmri.26340
Combining
tumor size and diffusion-weighted imaging to diagnose normal-sized metastatic
pelvic lymph nodes in cervical cancers.
Song J, Hu Q, Huang J, Ma Z, Chen T.
Acta Radiol 60(3): 388-395, 2019.
doi:10.1177/0284185118780903.
Different
relationship between systolic blood pressure in subjects with and without hypertension.
Glodzik L, Rusinek H, Tsui W, Pirraglia
E, Kim HJ, Deshpande A, Li Y, Storey P, Randall C, Chen J, Osorio RS, Butler T,
Tanzi E, McQuillan M, Harvey P, Williams SK, Ogedegbe OG, Babb JS, de Leon M.
Hypertension 73(1):197-205, 2019.
Differentiation
between orbital malignant and benign tumors using intravoxel incoherent motion
diffusion-weighted imaging: correlation with dynamic contrast-enhanced magnetic
resonance imaging.
Xu X-Q, MD, Hu H, Su G-Y, Liu H, Wu F-Y,
Shi H-B.
Medicine (Baltimore) 98(12): e14897, 2019.
doi: 10.1097/MD.0000000000014897 PMCID: PMC6709032 PMID: 30896639
Diffusion
and perfusion MRI quantification in ileal Crohn’s disease.
Hectors SJ, Gordic S, Semaan S, Bane O,
Hirten R, Jia X, Colombel J-F, Taouli B.
European Radiology 29, 993–1002, 2019.
Diffusion
MRI biomarkers of white matter microstructure vary nonmonotonically with
increasing cerebral amyloid deposition.
Dong JW, Jelescu IO, Ades-Aron B, Novikov
DS, Friedman K, Babb JS, Osorio RS, Galvin JE, Shepherd TM, Fieremans E.
Neurobiology of Aging 89: 118-128, 2020.
Effect
of laterality, gender, age and body mass index on the fat fraction of salivary
glands in healthy volunteers: assessed using iterative decomposition of water
and fat with echo asymmetry and least-squares estimation method.
Su G-Y, Wang C-B, Hu H, Liu J, Ding H-Y,
Xu X-Q, Wu F-Y.
British Institute of Radiology 2019
doi.org/10.1259/dmfr.20180263
Exploratory
study of apparent diffusion coefficient histogram metrics in assessing
pancreatic malignancy.
Taffel MT, Luk L, Ream JM, Rosenkrantz
AB.
Canadian Assoc Radiolog J 70(4), 416-423, 2019.
doi.org/10.1016/j.carj.2019.07.001
Histogram
analysis of diffusion kurtosis imaging in the differentiation of malignant from
benign breast lesions.
Liu W, Wei C, Bai J, Gao X, Zhou L.
Eur J Radiol 117:156-163, 2019.
Histogram
analysis with computed tomography angiography for discriminating soft tissue
sarcoma from benign soft tissue tumor.
Wu G, MD, Xie R, Li Y, Hou B, Morelli JN,
Li X.
Medicine (Baltimore) 99(2): e18742, 2020.
doi:10.1097/MD.0000000000018742 PMCID:
PMC6959892 PMID: 31914093
Histological
grades of rectal cancer: whole-volume histogram analysis of apparent diffusion
coefficient based on reduced field-of-view diffusion-weighted imaging.
Peng Y, Tang H, Meng X, Shen Y, Hu D,
Kamel Y, Li Z.
Quant Imaging Med Surg 10(1): 243–256,
2020.
doi:10.21037/qims.2019.11.17
PMCID: PMC6960428 PMID: 31956546
IgG4-related
sclerosing cholangitis: a clinical and imaging review.
Madhusudhan KS, Das P, Gunjan D, Srivastava
DN, Garg PK.
American Journal of Roentgenology 213(6):
1-11, 2019.
doi:10.2214/AJR.19.21519
Influence
of bone lesion location on femoral bone strength assessed by MRI-based
finite-element modeling.
Rajapakse CS, Gupta N, Evans M, et al.
Bone 122: 209–217, 2019.
doi.org/10.1016/j.bone.2019.03.005 PMID: 30851438 PMCID: PMC6486650
MRI
as a diagnostic biomarker for differentiating primary central nervous system
lymphoma from glioblastoma: a systematic review and meta-analysis.
Suh CH, Kim HS, Jung SC, Park JE, Choi
CG, Kim SJ.
J Magn Reson Imaging 50(2), 2019.
doi.org/10.1002/jmri.26602
Perfusion
parameters of intravoxel incoherent motion based on tumor edge region of
interest in cervical cancer: evaluation of differentiation and correlation with
dynamic contrast-enhanced MRI.
Wang H, Zhu L, Li G et al.
Acta Radiologica (epub. in press) 2019.
doi.org/10.1177/0284185119890086
Precisely-measured
hydration status correlates with hippocampal volume in healthy older adults.
Butler T, Deshpande A, Harvey P, Li Y,
Rusinek H, Pirraglia E, Osorio R, Glodzik L, de Leon MJ, Madelin G, Yu WW,
Gallagher D, Masaeka J.
American Journal of Geriatric Psychiatry
27(6), 653-654, 2019.
Prediction
of platinum-based chemotherapy response in advanced high-grade serous ovarian
cancer: adc histogram analysis of primary tumors.
Lu J, Li HM, Cai SQ, et al.
Academic Radiology (epub. in press) 2020.
doi.org/10.1016/j.acra.2020.01.024
Preliminary
study of using diffusion kurtosis imaging for characterizing parotid gland
tumors.
Qian W, Xu XQ, Zhu LN, Ma G, Su GY, Bu
SS, Wu FY.
Acta Radiol 60(7): 887-894, 2019.
doi:10.1177/0284185118803784.
Prospective
comparison between DCE-MRI and 99mTc-DTPA-based SPECT for determination of
allograft renal function.
Wan-Li Z, Jun T, Yu-Dong Z, et al.
J Magn Reson Imaging 49(1): 2019
Prostate
cancer heterogeneity: texture analysis score based on multiple MRI sequences
for detection, stratification and selection of lesions at time of biopsy.
Orczyk C, Villers A, Rusinek H, Lepennec
V, Bazille C, Giganti F, Mikheev A, Bernaudin M, Emberton Mark, Fohlen A,
Valable S.
Brit J Urol International 124(1), 76-86,
2019.
Quantitative
assessment of diffusion kurtosis imaging depicting deep myometrial invasion: a
comparative analysis with diffusion-weighted imaging.
Song JC, Lu SS, Zhang J, Liu XS, Luo CY,
Chen T.
Diagn Interv Radiol 26(2): 74–81, 2020.
doi: 10.5152/dir.2019.18366 PMCID: PMC7051262 PMID: 32071025
Quantitative
multivoxel proton MR spectroscopy for the identification of white matter abnormalities
in mild traumatic brain injury: Comparison between regional and global analysis.
Davitz MS, Gonen O, Tal A, Babb JS, Lui
YW, Kirov II.
J Magn Reson Imaging 50(5):1424–1432,
2019.
doi.org/10.1002/jmri.26718
Radiomics
based on multimodal MRI for the differential diagnosis of benign and malignant
breast lesions.
Zhang Q, Peng Y, Liu W, et al.
J Magn Reson Imaging (epub, in press)
2020.
doi.org/10.1002/jmri.27098
Rectal
cancer invasiveness: whole-lesion diffusion-weighted imaging (DWI) histogram
analysis by comparison of reduced field-of-view and conventional DWI techniques.
Peng Y, Tang H, Hu X et al.
Sci Rep 9, 18760, 2019.
Simultaneous
evaluation of lung anatomy and ventilation using 4D respiratory motion resolved
ultrashort echo time sparse MRI.
Feng L, Delacoste J, Smith D, et al.
J Magn Reson Imaging 49(2):411–422, 2019.
doi:10.1002/jmri.26245
Small
field of view diffusion tensor imaging (DTI) of the kidneys in people with type
2 diabetes and healthy controls.
Lim R, Williams J, Perchyonok Churilov Y,
McKenna N, Torkamani N, Staeb D, Mikheev A, Rusinek H,Ekinci E.
Kidney International Reports 4(7):
S286–S287, 2019.
DOI: https://doi.org/10.1016/j.ekir.2019.05.710
Splenic
T1rho as a noninvasive biomarker for portal hypertension.
Hectors SJ, Bane O, Stocker D, et al.
J Magn Reson Imaging (epub., in press) 2020.
doi.org/10.1002/jmri.27087
The
evaluation of prostate lesions with IVIM DWI and MR perfusion parameters at 3T
MRI.
Beyhan M, Sade R, Koc E, Adanur S,
Kantarci M.
La Radiologia Medica 124: 87–93, 2019.
The
histogram analysis of apparent diffusion coefficient in differential diagnosis
of parotid tumor.
Chen P, Dong B, Zhang C, Tao X, Wang P,
Zhu L.
British Institute of Radiology (epub, in
press) 2019.
doi.org/10.1259/dmfr.20190420
Value
of diffusion-weighted and dynamic contrast-enhanced MR in predicting
parametrial invasion in cervical stromal ring focally disrupted stage IB–IIA
cervical cancers.
Song J, Hu Q, Ma Z, Zhang J, Chen T.
Abdominal Radiology 44: 3166–3174, 2019.
Volumetric
apparent diffusion coefficient histogram analysis in differentiating
intrahepatic mass-forming cholangiocarcinoma from hepatocellular carcinoma.
Zou X, Luo Y, Li Z et al.
J Magn Reson Imaging 49(4): 975-983,
2019.
Whole-lesion
histogram analysis metrics of the apparent diffusion coefficient: a correlation
study with histological grade of hepatocellular carcinoma.
Xu YS, Liu HF, Xi DL, et al.
Abdominal Radiology 44(9): 3089–3098, 2019.
Whole
liver apparent diffusion coefficient histogram analysis for the diagnosis and
staging of liver fibrosis.
Zheng Y,
Xu Y-S, Liu Z, Liu HF, Zhai YN, XR, Lei JQ.
J Magn Reson Imaging (epub., in press)
2019.
PMID: 31729811 doi.org/10.1002/jmri.26987
Whole-tumor
histogram analysis of non-Gaussian distribution DWI parameters to
differentiation of pancreatic neuroendocrine tumors from pancreatic ductal
adenocarcinomas.
Li J, Liang L, Yu H, et al.
Magnetic Resonance Imaging 55: 52-59, 2019.
doi.org/10.1016/j.mri.2018.09.017
Whole-tumor
quantitative apparent diffusion coefficient histogram and texture analysis to
differentiation of minimal fat angiomyolipoma from clear cell renal cell
carcinoma.
Li H, Li A, Zhu H, et al.
Acad Radiol 26(5): 632–639, 2019.
doi.org/10.1016/j.acra.2018.06.015
book:
Finite
element method and medical imaging techniques in bone biomechanics.
Rabeb Ben Kahla, Abdelwahed Barkaoui,
Tarek Merzouki. Wiley Online Library, Abdelkhalak El Hami editor, 2020.
No comments:
Post a Comment