Cover Image

Tumor cell load and heterogeneity estimation from diffusion-weighted mri calibrated with histological data: an example from lung cancer

Diffusion-weighted magnetic resonance imaging (DWI) is a key non-invasive imaging technique for cancer diagnosis and tumor treatment assessment, reflecting Brownian movement of water molecules in tissues. Since densely packed cells restrict molecule mobility, tumor tissues produce usually higher sig...

Full description

Saved in:
Bibliographic Details
Main Authors: Yin, Yi (Author) , Sedlaczek, Oliver (Author) , Müller, Benedikt (Author) , Warth, Arne (Author) , González-Vallinas, Margarita (Author) , Lahrmann, Bernd (Author) , Grabe, Niels (Author) , Kauczor, Hans-Ulrich (Author) , Breuhahn, Kai (Author) , Vignon-Clementel, Irene E. (Author) , Drasdo, Dirk (Author)
Format: Article (Journal)
Language:English
Published: 2018
In: IEEE transactions on medical imaging
Year: 2018, Volume: 37, Issue: 1, Pages: 35-46
ISSN:1558-254X
DOI:10.1109/TMI.2017.2698525
Online Access:Resolving-System, lizenzpflichtig, Volltext: https://doi.org/10.1109/TMI.2017.2698525
Verlag, lizenzpflichtig, Volltext: https://ieeexplore.ieee.org/document/7913723
Get full text
Author Notes:Yi Yin, Oliver Sedlaczek, Benedikt Müller, Arne Warth, Margarita González-Vallinas, Bernd Lahrmann, Niels Grabe, Hans-Ulrich Kauczor, Kai Breuhahn, Irene E. Vignon-Clementel, et al.

MARC

LEADER 00000caa a2200000 c 4500
001 1695644530
003 DE-627
005 20230720112250.0
007 cr uuu---uuuuu
008 200422s2018 xx |||||o 00| ||eng c
024 7 |a 10.1109/TMI.2017.2698525  |2 doi 
035 |a (DE-627)1695644530 
035 |a (DE-599)KXP1695644530 
035 |a (OCoLC)1341316372 
040 |a DE-627  |b ger  |c DE-627  |e rda 
041 |a eng 
084 |a 33  |2 sdnb 
100 1 |a Yin, Yi  |e VerfasserIn  |0 (DE-588)1208803832  |0 (DE-627)1695648048  |4 aut 
245 1 0 |a Tumor cell load and heterogeneity estimation from diffusion-weighted mri calibrated with histological data  |b an example from lung cancer  |c Yi Yin, Oliver Sedlaczek, Benedikt Müller, Arne Warth, Margarita González-Vallinas, Bernd Lahrmann, Niels Grabe, Hans-Ulrich Kauczor, Kai Breuhahn, Irene E. Vignon-Clementel, et al. 
264 1 |c 2018 
300 |a 12 
336 |a Text  |b txt  |2 rdacontent 
337 |a Computermedien  |b c  |2 rdamedia 
338 |a Online-Ressource  |b cr  |2 rdacarrier 
500 |a Date of publication: 27 April 2017 
500 |a Gesehen am 22.04.2020 
520 |a Diffusion-weighted magnetic resonance imaging (DWI) is a key non-invasive imaging technique for cancer diagnosis and tumor treatment assessment, reflecting Brownian movement of water molecules in tissues. Since densely packed cells restrict molecule mobility, tumor tissues produce usually higher signal (a.k.a. less attenuated signal) on isotropic maps compared with normal tissues. However, no general quantitative relation between DWI data and the cell density has been established. In order to link low-resolution clinical cross-sectional data with high-resolution histological information, we developed an image processing and analysis chain, which was used to study the correlation between the diffusion coefficient (D value) estimated from DWI and tumor cellularity from serial histological slides of a resected non-small cell lung cancer tumor. Color deconvolution followed by cell nuclei segmentation was performed on digitized histological images to determine local and cell-type specific 2d (two-dimensional) densities. From these, the 3d cell density was inferred by a model-based sampling technique, which is necessary for the calculation of local and global 3d tumor cell count. Next, DWI sequence information was overlaid with high-resolution CT data and the resected histology using prominent anatomical hallmarks for co-registration of histology tissue blocks and non-invasive imaging modalities' data. The integration of cell numbers information and DWI data derived from different tumor areas revealed a clear negative correlation between cell density and D value. Importantly, spatial tumor cell density can be calculated based on DWI data. In summary, our results demonstrate that tumor cell count and heterogeneity can be predicted from DWI data, which may open new opportunities for personalized diagnosis and therapy optimization. 
650 4 |a 3d cell density 
650 4 |a Algorithms 
650 4 |a biodiffusion 
650 4 |a biomedical MRI 
650 4 |a Brownian movement 
650 4 |a cancer 
650 4 |a cancer diagnosis 
650 4 |a Carcinoma, Non-Small-Cell Lung 
650 4 |a Cell Count 
650 4 |a cell density 
650 4 |a cell nuclei segmentation 
650 4 |a Cell Nucleus 
650 4 |a cell-type specific 2d densities 
650 4 |a cellular biophysics 
650 4 |a color deconvolution 
650 4 |a computerised tomography 
650 4 |a Correlation 
650 4 |a deconvolution 
650 4 |a densely packed cells 
650 4 |a diffusion coefficient 
650 4 |a Diffusion Magnetic Resonance Imaging 
650 4 |a diffusion-weighted MRI 
650 4 |a digitized histological images 
650 4 |a DWI 
650 4 |a DWI sequence information 
650 4 |a heterogeneity 
650 4 |a heterogeneity estimation 
650 4 |a high-resolution CT data 
650 4 |a high-resolution histological information 
650 4 |a Histocytochemistry 
650 4 |a histological data 
650 4 |a histology data 
650 4 |a histopathology 
650 4 |a Humans 
650 4 |a image analysis 
650 4 |a image co-registration 
650 4 |a image colour analysis 
650 4 |a Image Interpretation, Computer-Assisted 
650 4 |a image processing 
650 4 |a image segmentation 
650 4 |a image sequences 
650 4 |a isotropic maps 
650 4 |a local 3D tumor cell count 
650 4 |a low-resolution clinical cross-sectional data 
650 4 |a lung 
650 4 |a lung cancer 
650 4 |a Lung Neoplasms 
650 4 |a Lungs 
650 4 |a magnetic resonance imaging 
650 4 |a medical image processing 
650 4 |a model-based sampling technique 
650 4 |a molecule mobility 
650 4 |a noninvasive imaging modalities 
650 4 |a noninvasive imaging technique 
650 4 |a optimisation 
650 4 |a personalized diagnosis 
650 4 |a resected nonsmall cell lung cancer tumor 
650 4 |a serial histological slides 
650 4 |a therapy optimization 
650 4 |a Three-dimensional displays 
650 4 |a tissues 
650 4 |a tumor cell load 
650 4 |a tumor cellularity 
650 4 |a tumor tissues 
650 4 |a tumor treatment 
650 4 |a Tumors 
650 4 |a tumours 
700 1 |a Sedlaczek, Oliver  |d 1970-  |e VerfasserIn  |0 (DE-588)123144493  |0 (DE-627)706179838  |0 (DE-576)293576173  |4 aut 
700 1 |a Müller, Benedikt  |e VerfasserIn  |0 (DE-588)1075739713  |0 (DE-627)833656244  |0 (DE-576)44460684X  |4 aut 
700 1 |a Warth, Arne  |d 1979-  |e VerfasserIn  |0 (DE-588)132646145  |0 (DE-627)524716927  |0 (DE-576)260019755  |4 aut 
700 1 |a González-Vallinas, Margarita  |e VerfasserIn  |0 (DE-588)1115013297  |0 (DE-627)869466895  |0 (DE-576)477622224  |4 aut 
700 1 |a Lahrmann, Bernd  |d 1982-  |e VerfasserIn  |0 (DE-588)1022879715  |0 (DE-627)717324710  |0 (DE-576)366112821  |4 aut 
700 1 |a Grabe, Niels  |e VerfasserIn  |0 (DE-588)123210615  |0 (DE-627)716920697  |0 (DE-576)364937602  |4 aut 
700 1 |a Kauczor, Hans-Ulrich  |d 1962-  |e VerfasserIn  |0 (DE-588)139267123  |0 (DE-627)70327113X  |0 (DE-576)310955327  |4 aut 
700 1 |a Breuhahn, Kai  |d 1969-  |e VerfasserIn  |0 (DE-588)122803329  |0 (DE-627)082164959  |0 (DE-576)293427364  |4 aut 
700 1 |a Vignon-Clementel, Irene E.  |e VerfasserIn  |4 aut 
700 1 |a Drasdo, Dirk  |e VerfasserIn  |4 aut 
773 0 8 |i Enthalten in  |a Institute of Electrical and Electronics Engineers  |t IEEE transactions on medical imaging  |d New York, NY : Institute of Electrical and Electronics Engineers,, 1982  |g 37(2018), 1, Seite 35-46  |h Online-Ressource  |w (DE-627)341354759  |w (DE-600)2068206-2  |w (DE-576)105283061  |x 1558-254X  |7 nnas 
773 1 8 |g volume:37  |g year:2018  |g number:1  |g pages:35-46  |g extent:12  |a Tumor cell load and heterogeneity estimation from diffusion-weighted mri calibrated with histological data an example from lung cancer 
856 4 0 |u https://doi.org/10.1109/TMI.2017.2698525  |x Resolving-System  |x Verlag  |z lizenzpflichtig  |3 Volltext 
856 4 0 |u https://ieeexplore.ieee.org/document/7913723  |x Verlag  |z lizenzpflichtig  |3 Volltext 
951 |a AR 
992 |a 20200422 
993 |a Article 
994 |a 2018 
998 |g 122803329  |a Breuhahn, Kai  |m 122803329:Breuhahn, Kai  |d 910000  |d 912000  |d 50000  |e 910000PB122803329  |e 912000PB122803329  |e 50000PB122803329  |k 0/910000/  |k 1/910000/912000/  |k 0/50000/  |p 9 
998 |g 139267123  |a Kauczor, Hans-Ulrich  |m 139267123:Kauczor, Hans-Ulrich  |d 910000  |d 911400  |e 910000PK139267123  |e 911400PK139267123  |k 0/910000/  |k 1/910000/911400/  |p 8 
998 |g 123210615  |a Grabe, Niels  |m 123210615:Grabe, Niels  |d 910000  |d 910100  |e 910000PG123210615  |e 910100PG123210615  |k 0/910000/  |k 1/910000/910100/  |p 7 
998 |g 1022879715  |a Lahrmann, Bernd  |m 1022879715:Lahrmann, Bernd  |d 50000  |e 50000PL1022879715  |k 0/50000/  |p 6 
998 |g 1115013297  |a González-Vallinas Garrachón, Margarita  |m 1115013297:González-Vallinas Garrachón, Margarita  |p 5 
998 |g 132646145  |a Warth, Arne  |m 132646145:Warth, Arne  |d 910000  |d 912000  |e 910000PW132646145  |e 912000PW132646145  |k 0/910000/  |k 1/910000/912000/  |p 4 
998 |g 1075739713  |a Müller, Benedikt  |m 1075739713:Müller, Benedikt  |d 910000  |d 912000  |e 910000PM1075739713  |e 912000PM1075739713  |k 0/910000/  |k 1/910000/912000/  |p 3 
998 |g 123144493  |a Sedlaczek, Oliver  |m 123144493:Sedlaczek, Oliver  |d 910000  |d 911400  |e 910000PS123144493  |e 911400PS123144493  |k 0/910000/  |k 1/910000/911400/  |p 2 
999 |a KXP-PPN1695644530  |e 3630018564 
BIB |a Y 
SER |a journal 
JSO |a {"person":[{"role":"aut","display":"Yin, Yi","given":"Yi","family":"Yin"},{"display":"Sedlaczek, Oliver","role":"aut","given":"Oliver","family":"Sedlaczek"},{"role":"aut","display":"Müller, Benedikt","family":"Müller","given":"Benedikt"},{"given":"Arne","family":"Warth","display":"Warth, Arne","role":"aut"},{"family":"González-Vallinas","given":"Margarita","display":"González-Vallinas, Margarita","role":"aut"},{"display":"Lahrmann, Bernd","role":"aut","family":"Lahrmann","given":"Bernd"},{"role":"aut","display":"Grabe, Niels","family":"Grabe","given":"Niels"},{"family":"Kauczor","given":"Hans-Ulrich","display":"Kauczor, Hans-Ulrich","role":"aut"},{"given":"Kai","family":"Breuhahn","role":"aut","display":"Breuhahn, Kai"},{"display":"Vignon-Clementel, Irene E.","role":"aut","given":"Irene E.","family":"Vignon-Clementel"},{"given":"Dirk","family":"Drasdo","role":"aut","display":"Drasdo, Dirk"}],"title":[{"title_sort":"Tumor cell load and heterogeneity estimation from diffusion-weighted mri calibrated with histological data","title":"Tumor cell load and heterogeneity estimation from diffusion-weighted mri calibrated with histological data","subtitle":"an example from lung cancer"}],"relHost":[{"id":{"zdb":["2068206-2"],"issn":["1558-254X"],"eki":["341354759"]},"pubHistory":["1.1982(July) -"],"recId":"341354759","physDesc":[{"extent":"Online-Ressource"}],"origin":[{"publisher":"Institute of Electrical and Electronics Engineers, ; IEEE","dateIssuedDisp":"1982-","dateIssuedKey":"1982","publisherPlace":"New York, NY ; New York, NY"}],"note":["Gesehen am 13.01.11"],"disp":"Institute of Electrical and Electronics EngineersIEEE transactions on medical imaging","language":["eng"],"titleAlt":[{"title":"Transactions on medical imaging"}],"type":{"bibl":"periodical","media":"Online-Ressource"},"corporate":[{"role":"aut","display":"Institute of Electrical and Electronics Engineers"}],"part":{"volume":"37","year":"2018","extent":"12","pages":"35-46","text":"37(2018), 1, Seite 35-46","issue":"1"},"title":[{"subtitle":"a publication of the IEEE Engineering in Medicine and Biology Society ...","title_sort":"IEEE transactions on medical imaging","title":"IEEE transactions on medical imaging"}]}],"physDesc":[{"extent":"12 S."}],"note":["Date of publication: 27 April 2017","Gesehen am 22.04.2020"],"origin":[{"dateIssuedDisp":"2018","dateIssuedKey":"2018"}],"id":{"eki":["1695644530"],"doi":["10.1109/TMI.2017.2698525"]},"type":{"bibl":"article-journal","media":"Online-Ressource"},"name":{"displayForm":["Yi Yin, Oliver Sedlaczek, Benedikt Müller, Arne Warth, Margarita González-Vallinas, Bernd Lahrmann, Niels Grabe, Hans-Ulrich Kauczor, Kai Breuhahn, Irene E. Vignon-Clementel, et al."]},"language":["eng"],"recId":"1695644530"} 
SRT |a YINYISEDLATUMORCELLL2018 

Similar Items