@article{RN140,
   author = {Jansen, J. F. and Stambuk, H. E. and Koutcher, J. A. and Shukla-Dave, A.},
   title = {Non-gaussian analysis of diffusion-weighted MR imaging in head and neck squamous cell carcinoma: A feasibility study},
   journal = {AJNR Am J Neuroradiol},
   volume = {31},
   number = {4},
   pages = {741-8},
   note = {Jansen, J F A
Stambuk, H E
Koutcher, J A
Shukla-Dave, A
eng
R01 CA115895/CA/NCI NIH HHS/
R01 CA115895-04/CA/NCI NIH HHS/
2009/12/29 06:00
AJNR Am J Neuroradiol. 2010 Apr;31(4):741-8. doi: 10.3174/ajnr.A1919. Epub 2009 Dec 24.},
   abstract = {BACKGROUND AND PURPOSE: Water in biological structures often displays non-Gaussian diffusion behavior. The objective of this study was to test the feasibility of non-Gaussian fitting by using the kurtosis model of the signal intensity decay curves obtained from DWI by using an extended range of b-values in studies of phantoms and HNSCC. MATERIALS AND METHODS: Seventeen patients with HNSCC underwent DWI by using 6 b-factors (0, 50-1500 s/mm(2)) at 1.5T. Monoexponential (yielding ADC(mono)) and non-Gaussian kurtosis (yielding apparent diffusion coefficient D(app) and apparent kurtosis coefficient K(app)) fits were performed on a voxel-by-voxel basis in selected regions of interest (primary tumors, metastatic lymph nodes, and spinal cord). DWI studies were also performed on phantoms containing either water or homogenized asparagus. To determine whether the kurtosis model provided a significantly better fit than did the monoexponential model, an F test was performed. Spearman correlation coefficients were calculated to assess correlations between K(app) and D(app). RESULTS: The kurtosis model fit the experimental data points significantly better than did the monoexponential model (P < .05). D(app) was approximately twice the value of ADC(mono) (eg, in neck nodal metastases D(app) was 1.54 and ADC(mono) was 0.84). K(app) showed a weak Spearman correlation with D(app) in a homogenized asparagus phantom and for 44% of tumor lesions. CONCLUSIONS: The use of kurtosis modeling to fit DWI data acquired by using an extended b-value range in HNSCC is feasible and yields a significantly better fit of the data than does monoexponential modeling. It also provides an additional parameter, K(app), potentially with added value.},
   keywords = {Adult
Aged
Aged, 80 and over
Algorithms
Carcinoma, Squamous Cell/*diagnosis
Diffusion Magnetic Resonance Imaging/*methods
Feasibility Studies
Female
Humans
Image Processing, Computer-Assisted/*methods
Lymphatic Metastasis/pathology
Male
Middle Aged
Normal Distribution
Otorhinolaryngologic Neoplasms/*diagnosis
Phantoms, Imaging
Software
Spinal Cord/pathology},
   ISSN = {1936-959X (Electronic)
0195-6108 (Linking)},
   DOI = {10.3174/ajnr.A1919},
   url = {http://www.ncbi.nlm.nih.gov/pubmed/20037133
http://www.ajnr.org/content/ajnr/31/4/741.full.pdf},
   year = {2010},
   type = {Journal Article}
}

{"_id":"PYEpMavFmdJneNdX3","bibbaseid":"jansen-stambuk-koutcher-shukladave-nongaussiananalysisofdiffusionweightedmrimaginginheadandnecksquamouscellcarcinomaafeasibilitystudy-2010","downloads":0,"creationDate":"2017-09-02T18:10:13.558Z","title":"Non-gaussian analysis of diffusion-weighted MR imaging in head and neck squamous cell carcinoma: A feasibility study","author_short":["Jansen, J. F.","Stambuk, H. E.","Koutcher, J. A.","Shukla-Dave, A."],"year":2010,"bibtype":"article","biburl":"https://raw.githubusercontent.com/jansenjfa1/bibbase.github.io/master/jansenjfa.bib","bibdata":{"bibtype":"article","type":"Journal Article","author":[{"propositions":[],"lastnames":["Jansen"],"firstnames":["J.","F."],"suffixes":[]},{"propositions":[],"lastnames":["Stambuk"],"firstnames":["H.","E."],"suffixes":[]},{"propositions":[],"lastnames":["Koutcher"],"firstnames":["J.","A."],"suffixes":[]},{"propositions":[],"lastnames":["Shukla-Dave"],"firstnames":["A."],"suffixes":[]}],"title":"Non-gaussian analysis of diffusion-weighted MR imaging in head and neck squamous cell carcinoma: A feasibility study","journal":"AJNR Am J Neuroradiol","volume":"31","number":"4","pages":"741-8","note":"Jansen, J F A Stambuk, H E Koutcher, J A Shukla-Dave, A eng R01 CA115895/CA/NCI NIH HHS/ R01 CA115895-04/CA/NCI NIH HHS/ 2009/12/29 06:00 AJNR Am J Neuroradiol. 2010 Apr;31(4):741-8. doi: 10.3174/ajnr.A1919. Epub 2009 Dec 24.","abstract":"BACKGROUND AND PURPOSE: Water in biological structures often displays non-Gaussian diffusion behavior. The objective of this study was to test the feasibility of non-Gaussian fitting by using the kurtosis model of the signal intensity decay curves obtained from DWI by using an extended range of b-values in studies of phantoms and HNSCC. MATERIALS AND METHODS: Seventeen patients with HNSCC underwent DWI by using 6 b-factors (0, 50-1500 s/mm(2)) at 1.5T. Monoexponential (yielding ADC(mono)) and non-Gaussian kurtosis (yielding apparent diffusion coefficient D(app) and apparent kurtosis coefficient K(app)) fits were performed on a voxel-by-voxel basis in selected regions of interest (primary tumors, metastatic lymph nodes, and spinal cord). DWI studies were also performed on phantoms containing either water or homogenized asparagus. To determine whether the kurtosis model provided a significantly better fit than did the monoexponential model, an F test was performed. Spearman correlation coefficients were calculated to assess correlations between K(app) and D(app). RESULTS: The kurtosis model fit the experimental data points significantly better than did the monoexponential model (P < .05). D(app) was approximately twice the value of ADC(mono) (eg, in neck nodal metastases D(app) was 1.54 and ADC(mono) was 0.84). K(app) showed a weak Spearman correlation with D(app) in a homogenized asparagus phantom and for 44% of tumor lesions. CONCLUSIONS: The use of kurtosis modeling to fit DWI data acquired by using an extended b-value range in HNSCC is feasible and yields a significantly better fit of the data than does monoexponential modeling. It also provides an additional parameter, K(app), potentially with added value.","keywords":"Adult Aged Aged, 80 and over Algorithms Carcinoma, Squamous Cell/*diagnosis Diffusion Magnetic Resonance Imaging/*methods Feasibility Studies Female Humans Image Processing, Computer-Assisted/*methods Lymphatic Metastasis/pathology Male Middle Aged Normal Distribution Otorhinolaryngologic Neoplasms/*diagnosis Phantoms, Imaging Software Spinal Cord/pathology","issn":"1936-959X (Electronic) 0195-6108 (Linking)","doi":"10.3174/ajnr.A1919","url":"http://www.ncbi.nlm.nih.gov/pubmed/20037133 http://www.ajnr.org/content/ajnr/31/4/741.full.pdf","year":"2010","bibtex":"@article{RN140,\n author = {Jansen, J. F. and Stambuk, H. E. and Koutcher, J. A. and Shukla-Dave, A.},\n title = {Non-gaussian analysis of diffusion-weighted MR imaging in head and neck squamous cell carcinoma: A feasibility study},\n journal = {AJNR Am J Neuroradiol},\n volume = {31},\n number = {4},\n pages = {741-8},\n note = {Jansen, J F A\nStambuk, H E\nKoutcher, J A\nShukla-Dave, A\neng\nR01 CA115895/CA/NCI NIH HHS/\nR01 CA115895-04/CA/NCI NIH HHS/\n2009/12/29 06:00\nAJNR Am J Neuroradiol. 2010 Apr;31(4):741-8. doi: 10.3174/ajnr.A1919. Epub 2009 Dec 24.},\n abstract = {BACKGROUND AND PURPOSE: Water in biological structures often displays non-Gaussian diffusion behavior. The objective of this study was to test the feasibility of non-Gaussian fitting by using the kurtosis model of the signal intensity decay curves obtained from DWI by using an extended range of b-values in studies of phantoms and HNSCC. MATERIALS AND METHODS: Seventeen patients with HNSCC underwent DWI by using 6 b-factors (0, 50-1500 s/mm(2)) at 1.5T. Monoexponential (yielding ADC(mono)) and non-Gaussian kurtosis (yielding apparent diffusion coefficient D(app) and apparent kurtosis coefficient K(app)) fits were performed on a voxel-by-voxel basis in selected regions of interest (primary tumors, metastatic lymph nodes, and spinal cord). DWI studies were also performed on phantoms containing either water or homogenized asparagus. To determine whether the kurtosis model provided a significantly better fit than did the monoexponential model, an F test was performed. Spearman correlation coefficients were calculated to assess correlations between K(app) and D(app). RESULTS: The kurtosis model fit the experimental data points significantly better than did the monoexponential model (P < .05). D(app) was approximately twice the value of ADC(mono) (eg, in neck nodal metastases D(app) was 1.54 and ADC(mono) was 0.84). K(app) showed a weak Spearman correlation with D(app) in a homogenized asparagus phantom and for 44% of tumor lesions. CONCLUSIONS: The use of kurtosis modeling to fit DWI data acquired by using an extended b-value range in HNSCC is feasible and yields a significantly better fit of the data than does monoexponential modeling. It also provides an additional parameter, K(app), potentially with added value.},\n keywords = {Adult\nAged\nAged, 80 and over\nAlgorithms\nCarcinoma, Squamous Cell/*diagnosis\nDiffusion Magnetic Resonance Imaging/*methods\nFeasibility Studies\nFemale\nHumans\nImage Processing, Computer-Assisted/*methods\nLymphatic Metastasis/pathology\nMale\nMiddle Aged\nNormal Distribution\nOtorhinolaryngologic Neoplasms/*diagnosis\nPhantoms, Imaging\nSoftware\nSpinal Cord/pathology},\n ISSN = {1936-959X (Electronic)\n0195-6108 (Linking)},\n DOI = {10.3174/ajnr.A1919},\n url = {http://www.ncbi.nlm.nih.gov/pubmed/20037133\nhttp://www.ajnr.org/content/ajnr/31/4/741.full.pdf},\n year = {2010},\n type = {Journal Article}\n}\n\n","author_short":["Jansen, J. F.","Stambuk, H. E.","Koutcher, J. A.","Shukla-Dave, A."],"key":"RN140","id":"RN140","bibbaseid":"jansen-stambuk-koutcher-shukladave-nongaussiananalysisofdiffusionweightedmrimaginginheadandnecksquamouscellcarcinomaafeasibilitystudy-2010","role":"author","urls":{"Paper":"http://www.ncbi.nlm.nih.gov/pubmed/20037133 http://www.ajnr.org/content/ajnr/31/4/741.full.pdf"},"keyword":["Adult Aged Aged","80 and over Algorithms Carcinoma","Squamous Cell/*diagnosis Diffusion Magnetic Resonance Imaging/*methods Feasibility Studies Female Humans Image Processing","Computer-Assisted/*methods Lymphatic Metastasis/pathology Male Middle Aged Normal Distribution Otorhinolaryngologic Neoplasms/*diagnosis Phantoms","Imaging Software Spinal Cord/pathology"],"metadata":{"authorlinks":{"jansen, j":"https://www.jansenjfa.com/research/"}},"downloads":0,"html":""},"search_terms":["non","gaussian","analysis","diffusion","weighted","imaging","head","neck","squamous","cell","carcinoma","feasibility","study","jansen","stambuk","koutcher","shukla-dave"],"keywords":["adult aged aged","80 and over algorithms carcinoma","squamous cell/*diagnosis diffusion magnetic resonance imaging/*methods feasibility studies female humans image processing","computer-assisted/*methods lymphatic metastasis/pathology male middle aged normal distribution otorhinolaryngologic neoplasms/*diagnosis phantoms","imaging software spinal cord/pathology"],"authorIDs":["TEAWLnKpXtQE8hs6C"],"dataSources":["NcYBKGxxHQiyceke2","TCkfRWJAZvbLAZi29"]}