Six-dimensional quantitative DCE MR multitasking of the entire abdomen: method and application to pancreatic ductal adenocarcinoma
Open accessAbstract
Purpose: To develop a quantitative DCE MRI technique enabling entire‐abdomen coverage, free‐breathing acquisition, 1‐second temporal resolution, and T 1‐based quantification of contrast agent concentration and kinetic modeling for the characterization of pancreatic ductal adenocarcinoma (PDAC). Methods: Segmented FLASH readouts following saturation‐recovery preparation with randomized 3D Cartesian undersampling was used for incoherent data acquisition. MR Multitasking was used to reconstruct 6‐dimensional images with 3 spatial dimensions, 1 T 1 recovery dimension for dynamic T 1 quantification, 1 respiratory dimension to resolve respiratory motion, and 1 DCE time dimension to capture the contrast kinetics. Sixteen healthy subjects and 14 patients with pathologically confirmed PDAC were recruited for the in vivo studies, and kinetic parameters v p, K trans, v e, and K ep were evaluated for each subject. Intersession repeatability of Multitasking DCE was assessed in 8 repeat healthy subjects. One‐way unbalanced analysis of variance was performed between control and patient groups. Results: In vivo studies demonstrated that v p, K trans, and K ep of PDAC were significantly lower compared with nontumoral regions in the patient group (P = .002, .003, .004, respectively) and normal pancreas in the control group (P = .011, <.001, <.001, respectively), while v e was significantly higher than nontumoral regions (P < .001) and healthy pancreas (P < .001). The kinetic parameters showed good in vivo repeatability (interclass correlation coefficient: v p, 0.95; K trans, 0.98; v e, 0.96; K ep, 0.99). Conclusion: The proposed Multitasking DCE is promising for the quantification of vascular properties of PDAC. Quantitative DCE parameters were repeatable in vivo and showed significant differences between normal pancreas and both tumor and nontumoral regions in patients with PDAC.
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Cites
Coussens, L. M., & Werb, Z. (2002) · Nature · doi:10.1038/nature01322 · Cited by 15,111 · see citing works
Siegel, R. L., Miller, K. D., & Jemal, A. (2017) · CA: A Cancer Journal for Clinicians · doi:10.3322/caac.21387 · Cited by 14,712 · see citing works
Mantovani, A., Allavena, P., Sica, A., & Balkwill, F. (2008) · Nature · doi:10.1038/nature07205 · Cited by 11,399 · see citing works
Tensor Decompositions and Applications
Kolda, T. G., & Bader, B. W. (2009) · SIAM Review · doi:10.1137/07070111x · Cited by 10,595 · see citing works
Spencer, P. M., Cameron, J. L., & Lin, L. (2000) · Cited by 7,202 · see citing works
A Multilinear Singular Value Decomposition
Lathauwer, L. D., Moor, B. D., & Vandewalle, J. P. L. (2000) · SIAM Journal on Matrix Analysis and Applications · doi:10.1137/s0895479896305696 · Cited by 4,222 · see citing works
Li, D., Xie, K., Wolff, R. A., & Abbruzzese, J. L. (2004) · The Lancet · doi:10.1016/s0140-6736(04)15841-8 · Cited by 1,715 · see citing works
Self-citationModified Look‐Locker inversion recovery (MOLLI) for high‐resolution T 1 mapping of the heart
Messroghli, D., Radjenovic, A., Kozerke, S., Higgins, D. M., Sivananthan, M. U., & Ridgway, J. P. (2004) · Magnetic Resonance in Medicine · doi:10.1002/mrm.20110 · Cited by 1,351 · see citing works
Feng, L., Axel, L., Chandarana, H., Block, K. T., Sodickson, D. K., & Otazo, R. (2015) · Magnetic Resonance in Medicine · doi:10.1002/mrm.25665 · Cited by 669 · see citing works
Accelerated Dynamic MRI Exploiting Sparsity and Low-Rank Structure: k-t SLR
Lingala, S. G., Hu, Y., DiBella, E., & Jacob, M. (2011) · IEEE Transactions on Medical Imaging · doi:10.1109/tmi.2010.2100850 · Cited by 667 · see citing works
Metastatic Patterns of Cancers: Results From a Large Autopsy Study
diSibio, G., & French, S. W. (2008) · Archives of Pathology & Laboratory Medicine · doi:10.5858/2008-132-931-mpocrf · Cited by 528 · see citing works
Imaging diagnosis of pancreatic cancer: A state-of-the-art review
Lee, E. S. (2014) · World Journal of Gastroenterology · doi:10.3748/wjg.v20.i24.7864 · Cited by 401 · see citing works
SPATIOTEMPORAL IMAGINGWITH PARTIALLY SEPARABLE FUNCTIONS
Liang, Z. (2007) · IEEE International Symposium on Biomedical Imaging: From Nano to Macro (ISBI) · doi:10.1109/isbi.2007.357020 · Cited by 379 · see citing works
Key factors in the acquisition of contrast kinetic data for oncology
Evelhoch, J. L. (1999) · Journal of Magnetic Resonance Imaging · doi:10.1002/(sici)1522-2586(199909)10:3 · Cited by 366 · see citing works
Pancreatic cancer: why is it so hard to treat?
Oberstein, P. E., & Olive, K. P. (2013) · Therapeutic Advances in Gastroenterology · doi:10.1177/1756283x13478680 · Cited by 334 · see citing works
Magnetic resonance multitasking for motion-resolved quantitative cardiovascular imaging
Christodoulou, A. G., Shaw, J. L., Nguyen, C., Yang, Q., Xie, Y., Wang, N., & Li, D. (2018) · Nature Biomedical Engineering · doi:10.1038/s41551-018-0217-y · Cited by 323 · see citing works
Self-citationZhao, B., Haldar, J. P., Christodoulou, A., & Liang, Z. (2012) · IEEE Transactions on Medical Imaging · doi:10.1109/tmi.2012.2203921 · Cited by 295 · see citing works
Self-citationThe Pathology and Genetics of Metastatic Pancreatic Cancer
Yachida, S., & Iacobuzio–Donahue, C. A. (2009) · Archives of Pathology & Laboratory Medicine · doi:10.5858/133.3.413 · Cited by 269 · see citing works
Temporal sampling requirements for the tracer kinetics modeling of breast disease
Henderson, E., Rutt, B. K., & Lee, T. (1998) · Magnetic Resonance Imaging · doi:10.1016/s0730-725x(98)00130-1 · Cited by 263 · see citing works
Shen, Y., Goerner, F. L., Snyder, C., Morelli, J. N., Hao, D., Hu, D., Li, X., & Runge, V. M. (2015) · Investigative Radiology · doi:10.1097/rli.0000000000000132 · Cited by 256 · see citing works
Invasion and metastasis in pancreatic cancer.
Keleg, S., Büchler, P., Ludwig, R., Büchler, M. W., & Frieß, H. (2003) · Molecular Cancer · doi:10.1186/1476-4598-2-14 · Cited by 222 · see citing works
Dynamic contrast enhanced MRI in prostate cancer
Alonzi, R., Padhani, A. R., & ALLEN, C. M. (2007) · European Journal of Radiology · doi:10.1016/j.ejrad.2007.06.028 · Cited by 204 · see citing works
Pancreatic Carcinoma versus Chronic Pancreatitis: Dynamic MR Imaging
Johnson, P. T., & Outwater, E. K. (1999) · Radiology · doi:10.1148/radiology.212.1.r99jl16213 · Cited by 176 · see citing works
Park, H. S., Lee, J. M., Choi, H. K., Hong, S. H., Han, J. K., & Choi, B. I. (2009) · Journal of Magnetic Resonance Imaging · doi:10.1002/jmri.21889 · Cited by 156 · see citing works
Su, M., Cheung, Y., Fruehauf, J. P., Yu, H. J., Nalcioğlu, O., Mechetner, E. B., Kyshtoobayeva, A. S., Chen, S., Hsueh, S., McLaren, C. E., et al. (2003) · Journal of Magnetic Resonance Imaging · doi:10.1002/jmri.10380 · Cited by 155 · see citing works
Embuscado, E. E., Laheru, D. A., Ricci, F., Yun, K. J., Witzel, S. D. B., Seigel, A., Flickinger, K., Hidalgo, M. M., Bova, G. S., & Iacobuzio–Donahue, C. A. (2005) · Cancer Biology & Therapy · doi:10.4161/cbt.4.5.1663 · Cited by 151 · see citing works
Accelerated High-Dimensional MR Imaging With Sparse Sampling Using Low-Rank Tensors
He, J., Liu, Q., Christodoulou, A., Ma, C., Lam, F., & Liang, Z. (2016) · IEEE Transactions on Medical Imaging · doi:10.1109/tmi.2016.2550204 · Cited by 146 · see citing works
Self-citationde Lussanet, Q. G., Backes, W. H., Griffioen, A. W., Padhani, A. R., Baeten, C. I. M., van Baardwijk, A. A. W., Lambin, P., Beets, G. L., van Engelshoven, J. M. A., & Beets‐Tan, R. G. H. (2005) · International Journal of Radiation Oncology*Biology*Physics · doi:10.1016/j.ijrobp.2005.04.052 · Cited by 132 · see citing works
Esserman, L. J., Hylton, N. M., George, T. I., & Weidner, N. (1999) · The Breast Journal · doi:10.1046/j.1524-4741.1999.005001013.x · Cited by 107 · see citing works
Gadolinium Contrast Agents for CNS Imaging: Current Concepts and Clinical Evidence
Kanal, E., Maravilla, K. R., & Rowley, H. A. (2014) · American Journal of Neuroradiology · doi:10.3174/ajnr.a3917 · Cited by 105 · see citing works
Holzapfel, K., Reiser–Erkan, C., Fingerle, A. A., Erkan, M., Eiber, M. J., Rummeny, E. J., Friess, H., Kleeff, J. H., & Gaa, J. (2010) · Abdominal Imaging · doi:10.1007/s00261-010-9633-5 · Cited by 105 · see citing works
Akisik, M. F., Sandrasegaran, K., Bu, G., Lin, C., Hutchins, G. D., & Chiorean, E. G. (2010) · Radiology · doi:10.1148/radiol.10091733 · Cited by 103 · see citing works
Koelblinger, C., Ba‐Ssalamah, A., Goetzinger, P., Puchner, S. B., Weber, M., Sahora, K., Scharitzer, M., Plank, C. M., & Schima, W. (2011) · Radiology · doi:10.1148/radiol.11101189 · Cited by 94 · see citing works
Bali, M. A., Metens, T., Denolin, V., Delhaye, M., Demetter, P., Closset, J., & Matos, C. (2011) · Radiology · doi:10.1148/radiol.11103515 · Cited by 91 · see citing works
Kim, J. H., Lee, J. M., Park, J. H., Kim, S. C., Joo, I., Han, J. K., & Choi, B. I. (2012) · Radiology · doi:10.1148/radiol.12120111 · Cited by 80 · see citing works
Feng, L., Wen, Q., Huang, C., Tong, A. Y., Liu, F., & Chandarana, H. (2019) · Magnetic Resonance in Medicine · doi:10.1002/mrm.27903 · Cited by 74 · see citing works
Tajima, Y. (2007) · World Journal of Gastroenterology · doi:10.3748/wjg.v13.i6.858 · Cited by 61 · see citing works
Coenegrachts, K., Steenbergen, W. V., Keyzer, F. D., Vanbeckevoort, D., Bielen, D., Chen, F., Dockx, S., Maes, F., & Bosmans, H. (2004) · Journal of Magnetic Resonance Imaging · doi:10.1002/jmri.20212 · Cited by 57 · see citing works
Coolen, B. F., Poot, D. H. J., Liem, M. I., Smits, L. P., Gao, S., Kotek, G., Klein, S., & Nederveen, A. J. (2015) · Magnetic Resonance in Medicine · doi:10.1002/mrm.25634 · Cited by 54 · see citing works
Teixeira, T., Hafyane, T., Stikov, N., Akdeniz, C. S., Greiser, A., & Friedrich, M. G. (2016) · Journal of Cardiovascular Magnetic Resonance · doi:10.1186/s12968-016-0286-6 · Cited by 53 · see citing works
Calcagno, C., Mani, V., Ramachandran, S., & Fayad, Z. A. (2010) · Angiogenesis · doi:10.1007/s10456-010-9172-2 · Cited by 52 · see citing works
Quantitative effects of using compressed sensing in dynamic contrast enhanced MRI
Smith, D. S., Welch, E. B., Li, X., Arlinghaus, L. R., Loveless, M. E., Koyama, T., Gore, J. C., & Yankeelov, T. E. (2011) · Physics in Medicine and Biology · doi:10.1088/0031-9155/56/15/018 · Cited by 51 · see citing works
Liver metastases from pancreatic adenocarcinoma: MR imaging characteristics
Danet, I.-M., Semelka, R. C., Nagase, L. L., Woosely, J., Leonardou, P., & Armao, D. M. (2003) · Journal of Magnetic Resonance Imaging · doi:10.1002/jmri.10337 · Cited by 51 · see citing works
Schoennagel, B. P., Habermann, C. R., Roesch, M., Hahne, J. D., Arndt, C., Kleibeler, L., Petersen, K. U., Graessner, J., Adam, G., & Herrmann, J. (2011) · Journal of Magnetic Resonance Imaging · doi:10.1002/jmri.22743 · Cited by 48 · see citing works
Variability in Quantitative DCE-MRI: Sources and Solutions.
Kim, H. K. (2018) · PubMed · Cited by 48 · see citing works
Zhou, R., Huang, W., Yang, Y., Chen, X., Weller, D. S., Kramer, C. M., Kozerke, S., & Salerno, M. (2018) · Journal of Cardiovascular Magnetic Resonance · doi:10.1186/s12968-018-0427-1 · Cited by 46 · see citing works
Othman, A. E., Falkner, F., Weiß, J., Kruck, S., Grimm, R., Martirosian, P., Nikolaou, K., & Notohamiprodjo, M. (2015) · Investigative Radiology · doi:10.1097/rli.0000000000000234 · Cited by 43 · see citing works
Zhang, T., Wang, L., Liu, H.-H., Zhang, C., Li, X.-M., Lu, J.-P., & Wang, D.-B. (2016) · Oncotarget · doi:10.18632/oncotarget.12120 · Cited by 42 · see citing works
Self-citationHigaki, T., Tatsugami, F., Fujioka, C., Sakane, H., Nakamura, Y., Baba, Y., Iida, M., & Awai, K. (2017) · Data in Brief · doi:10.1016/j.dib.2017.06.024 · Cited by 40 · see citing works
Schima, W., & Függer, R. (2002) · European Radiology · doi:10.1007/s00330-002-1531-y · Cited by 38 · see citing works
Wang, N., Christodoulou, A., Xie, Y., Wang, Z., Deng, Z., Zhou, B., Lee, S. E., Fan, Z., Chang, H., Yu, W., et al. (2018) · Magnetic Resonance in Medicine · doi:10.1002/mrm.27553 · Cited by 35 · see citing works
Self-citationScheufele, F., Hartmann, D., & Friess, H. (2019) · Translational Gastroenterology and Hepatology · doi:10.21037/tgh.2019.04.09 · Cited by 33 · see citing works
Li, K., Buonaccorsi, G. A., Thompson, G., Cain, J. R., Watkins, A., Russell, D., Qureshi, S., Evans, D. G., Lloyd, S., Zhu, X., et al. (2012) · Magnetic Resonance in Medicine · doi:10.1002/mrm.23252 · Cited by 33 · see citing works
Wake, N., Chandarana, H., Rusinek, H., Fujimoto, K., Moy, L. P., Sodickson, D. K., & Kim, S. (2018) · Magnetic Resonance Imaging · doi:10.1016/j.mri.2018.05.007 · Cited by 30 · see citing works
Dynamic contrast-enhanced MRI of the microenvironment of pancreatic adenocarcinoma xenografts
Wegner, C. S., Hauge, A., Gaustad, J., Andersen, L. M. K., Simonsen, T. G., Galappathi, K., & Rofstad, E. K. (2017) · Acta Oncologica · doi:10.1080/0284186x.2017.1343494 · Cited by 29 · see citing works
Fast dynamic electron paramagnetic resonance (EPR) oxygen imaging using low-rank tensors
Christodoulou, A., Redler, G., Clifford, B., Liang, Z., Halpern, H. J., & Epel, B. (2016) · Journal of Magnetic Resonance · doi:10.1016/j.jmr.2016.07.006 · Cited by 23 · see citing works
Self-citationOptimized Fast Dynamic Contrast-Enhanced Magnetic Resonance Imaging of the Prostate
Othman, A. E., Falkner, F., Martirosian, P., Schraml, C., Schwentner, C., Nickel, D. M., Nikolaou, K., & Notohamiprodjo, M. (2015) · Investigative Radiology · doi:10.1097/rli.0000000000000213 · Cited by 22 · see citing works
Heterogeneity of the exocrine pancreas
Adelson, J. W., & Miller, P. E. (1989) · American Journal of Physiology-Gastrointestinal and Liver Physiology · doi:10.1152/ajpgi.1989.256.5.g817 · Cited by 20 · see citing works
3D nonrigid motion correction for quantitative assessment of hepatic lesions in DCE‐MRI
Ippoliti, M., Lukas, M., Brenner, W., Schaeffter, T., Makowski, M. R., & Kolbitsch, C. (2019) · Magnetic Resonance in Medicine · doi:10.1002/mrm.27867 · Cited by 16 · see citing works
Multiple‐bolus dynamic contrast‐enhanced MRI in the pancreas during a glucose challenge
Naish, J. H., Hutchinson, C. E., Caunce, A., Roberts, C., Waterton, J. C., Hockings, P. D., Taylor, C., & Parker, G. J. M. (2010) · Journal of Magnetic Resonance Imaging · doi:10.1002/jmri.22281 · Cited by 13 · see citing works
Flagged first, then by citations
Cited by
Sorted by citations
Artificial Intelligence and Early Detection of Pancreatic Cancer: 2020 Summative Review
Kenner, B., Chari, S. T., Kelsen, D., Klimstra, D. S., Pandol, S. J., Rosenthal, M., Rustgi, A. K., Taylor, J. A., Yala, A., Abul-Husn, N., et al. (2021) · Pancreas · doi:10.1097/mpa.0000000000001762 · Cited by 158 · see citing works
Self-citationWang, N., Cao, T., Han, F., Xie, Y., Zhong, X., Ma, S., Kwan, A. C., Fan, Z., Han, H., Bi, X., et al. (2021) · Magnetic Resonance in Medicine · doi:10.1002/mrm.28970 · Cited by 34 · see citing works
Self-citation4D Golden‐Angle Radial MRI at Subsecond Temporal Resolution
Feng, L. (2022) · NMR in Biomedicine · doi:10.1002/nbm.4844 · Cited by 28 · see citing works
Fast Real-Time Cardiac MRI: a Review of Current Techniques and Future Directions
Wang, X., Uecker, M., & Feng, L. (2021) · Investigative Magnetic Resonance Imaging · doi:10.13104/imri.2021.25.4.252 · Cited by 26 · see citing works
Cao, T., Wang, N., Kwan, A. C., Lee, H., Mao, X., Xie, Y., Nguyen, K., Colbert, C. M., Han, F., Han, P., et al. (2022) · Magnetic Resonance in Medicine · doi:10.1002/mrm.29351 · Cited by 22 · see citing works
Self-citationLatest Advances in Image Acceleration: All Dimensions are Fair Game
Muñoz, C., Fotaki, A., Botnar, R. M., & Prieto, C. (2022) · Journal of Magnetic Resonance Imaging · doi:10.1002/jmri.28462 · Cited by 17 · see citing works
Free‐breathing 3D CEST MRI of human liver at 3.0 T
Han, P., Cheema, K., Cao, T., Lee, H., Han, F., Wang, N., Han, H., Xie, Y., Christodoulou, A., & Li, D. (2022) · Magnetic Resonance in Medicine · doi:10.1002/mrm.29470 · Cited by 13 · see citing works
Self-citationPelled, G., Salas, M. M., Han, P., Gill, H. E., Lautenschlager, K. A., Lai, T. T., Shawver, C. M., Hoch, M. B., Goff, B. J., Betts, A. M., et al. (2021) · Scientific Reports · doi:10.1038/s41598-021-97672-y · Cited by 12 · see citing works
Self-citationMotion‐robust quantitative multiparametric brain MRI with motion‐resolved MR multitasking
Ma, S., Wang, N., Xie, Y., Fan, Z., Li, D., & Christodoulou, A. (2021) · Magnetic Resonance in Medicine · doi:10.1002/mrm.28959 · Cited by 12 · see citing works
Self-citationHan, P., Zhang, R., Wagner, S. R., Xie, Y., Cingolani, E., Marbán, E., Christodoulou, A., & Li, D. (2021) · Journal of Cardiovascular Magnetic Resonance · doi:10.1186/s12968-020-00699-9 · Cited by 12 · see citing works
Self-citationWang, N., Gaddam, S., Xie, Y., Christodoulou, A., Wu, C., Ma, S., Fan, Z., Wang, L., Lo, S. K., Hendifar, A. E., et al. (2023) · Frontiers in Oncology · doi:10.3389/fonc.2022.1007134 · Cited by 11 · see citing works
Self-citationWang, N., Xie, Y., Fan, Z., Ma, S., Saouaf, R., Guo, Y., Shiao, S. L., Christodoulou, A., & Li, D. (2021) · Magnetic Resonance in Medicine · doi:10.1002/mrm.28633 · Cited by 11 · see citing works
Self-citationHu, Z., Christodoulou, A., Wang, N., Xie, Y., Shiroishi, M. S., Yang, W., Zada, G., Chow, F. E., Margol, A., Tamrazi, B., et al. (2022) · Magnetic Resonance in Medicine · doi:10.1002/mrm.29431 · Cited by 8 · see citing works
Self-citationGuan, X., Yang, H., Zhang, X., Wang, N., Han, H., Tang, R. L. Q., Hu, Z., Youssef, K., Vora, K. P., Krishnam, M. S., et al. (2024) · Magnetic Resonance in Medicine · doi:10.1002/mrm.29968 · Cited by 8 · see citing works
Self-citationHan, P., Chen, J., Xiao, J., Han, F., Hu, Z., Yang, W., Cao, M., Ling, D. C., Li, D., Christodoulou, A., et al. (2022) · Physics in Medicine and Biology · doi:10.1088/1361-6560/ac783e · Cited by 7 · see citing works
Self-citationWu, C., Wang, N., Gaddam, S., Wang, L., Han, H., Sung, K., Christodoulou, A., Xie, Y., Pandol, S. J., & Li, D. (2023) · Frontiers in Radiology · doi:10.3389/fradi.2023.1168901 · Cited by 6 · see citing works
Self-citationMultiparametric quantitative MRI of healthy adult pancreas: correlations with gender and age
Wang, L., Liang, L., Zhang, J., Wu, C., Zhou, Y., Yu, Y., Zhang, C., Jeon, C. Y., Jiang, T., Gaddam, S., et al. (2024) · Frontiers in Gastroenterology · doi:10.3389/fgstr.2024.1426687 · Cited by 2 · see citing works
Self-citationYang, J., Guo, P., Zhou, D., Ding, L., & Jiang, P. (2026) · International Journal of Radiation Research · doi:10.66224/ijrr.24.1.32 · Cited by 1 · see citing works
Saouaf, R., Xie, Y., Kim, S., Raphael, Y. R., Nguyen, C. T., Luthringer, D., Daskivich, T. J., Lo, E. M., Tighiouart, M., Li, D., et al. (2024) · Cancer Research Communications · doi:10.1158/2767-9764.crc-24-0009
Self-citationHan, P., Zhang, R., Wagner, S., Xie, Y., Cingolani, E., Marban, E., Christodoulou, A., & Li, D. (2021) · Figshare · doi:10.6084/m9.figshare.13889341
Self-citationMa, L., Wu, C., Wang, L., Lee, H., Chen, J., Hu, Z., Xie, Y., Pandol, S. J., Gaddam, S., Li, D., et al. (2026) · Magnetic Resonance in Medicine · doi:10.1002/mrm.70568
Self-citation
- Authors
- Wang, N., Gaddam, S., Wang, L., Xie, Y., Fan, Z., Yang, W., Tuli, R., Lo, S., Hendifar, A., Pandol, S., Christodoulou, A. G., & Li, D.
- Affiliations
- Cedars-Sinai Medical Center (US)
- University of Southern California (US)
- Memorial Sloan Kettering Cancer Center (US)
- Corresponding author
- Li, Debiao
- ORCID
- Venue
- Magnetic Resonance in Medicine
- Publisher
- Wiley
- Published
- 2020-01-21
- Volume
- 84
- Issue
- 2
- Pages
- 928-948
- ISSN
- 0740-3194 (ISSN-L)
- 1522-2594
- PMC
- PMC7323577
- OpenAlex
- W3001242346
- Cited by
- 21
- References
- 60
- Citations by year
- 2026: 2 · 2024: 3 · 2023: 2 · 2022: 6 · 2021: 8
- FWCI
- 1.95
- Type
- journal article
- Language
- en
- Open access
- green
- www.ncbi.nlm.nih.gov
- Locations
- Magnetic Resonance in Medicine (publishedVersion)
- PubMed (publishedVersion)
- PubMed Central (acceptedVersion)
- eScholarship (California Digital Library) (submittedVersion)
- Funders
- National Cancer Institute (R21CA234637, P30CA008748)
- Topics
- Health Sciences › Medicine › Radiology, Nuclear Medicine and Imaging › MRI in cancer diagnosis
- Health Sciences › Medicine › Radiology, Nuclear Medicine and Imaging › Advanced MRI Techniques and Applications
- Health Sciences › Medicine › Radiology, Nuclear Medicine and Imaging › Medical Imaging Techniques and Applications
- Keywords
- pancreatic ductal adenocarcinoma, dynamic contrast-enhanced MRI, vascular parameters, free-breathing acquisition, respiratory motion correction
- MeSH terms
- Abdomen, Adenocarcinoma, Contrast Media, Humans, Magnetic Resonance Imaging, Pancreatic Neoplasms
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review