Naoko Mori1, Hiroyuki Abe2, Shunji Mugikura3, Chiaki Takasawa3, Satoko Sato4, Minoru Miyashita5, Yu Mori6, Federico D Pineda2, Gregory S Karczmar2, Hajime Tamura7, Shoki Takahashi3, Kei Takase3. 1. Department of Diagnostic Radiology, Tohoku University Graduate School of Medicine, Seiryo 1-1, Sendai 980-8574, Japan. Electronic address: naokomori7127@gmail.com. 2. Department of Radiology, University of Chicago, Chicago, Illinois. 3. Department of Diagnostic Radiology, Tohoku University Graduate School of Medicine, Seiryo 1-1, Sendai 980-8574, Japan. 4. Department of Pathology, Tohoku University Graduate School of Medicine, Sendai, Japan. 5. Department of Surgical Oncology, Tohoku University Graduate School of Medicine, Sendai, Japan. 6. Department of Orthopedic Surgery, Tohoku University Graduate School of Medicine, Sendai, Japan. 7. Department of Medical Physics, Tohoku University Graduate School of Medicine, Sendai, Japan.
Abstract
RATIONALE AND OBJECTIVES: To evaluate whether parameters from empirical mathematical model (EMM) for ultrafast dynamic contrast-enhanced (DCE) magnetic resonance imaging (MRI) correlate with histological microvessel density (MVD) in invasive breast cancer. MATERIALS AND METHODS: Ninety-eight consecutive patients with invasive breast cancer underwent an institutional review board-approved ultrafast DCE-MRI including a pre- and 18 postcontrast whole breast ultrafast scans (3 seconds) followed by four standard scans (60 seconds) using a 3T system. Region of interest was placed within each lesion where the highest signal increase was observed on ultrafast DCE-MRI, and the increase rate of enhancement was calculated as follows: ΔS = (SIpost - SIpre)/SIpre. The kinetic curve obtained from ultrafast DCE-MRI was analyzed using a truncated EMM: ΔS(t) = A(1 - e-αt), where A is the upper limit of the signal intensity, α (min-1) is the rate of signal increase. The initial slope of the kinetic curve is given by Aα. Initial area under curve (AUC30) and time of initial enhancement was calculated. From the standard DCE-MRI, the initial enhancement rate (IER) and the signal enhancement ratio (SER) were calculated as follows: IER = (SIearly - SIpre)/SIpre, SER = (SIearly - SIpre)/(SIdelayed - SIpre). The parameters were compared to MVD obtained from surgical specimens. RESULTS: A, α, Aα, AUC30, and time of initial enhancement significantly correlated with MVD (r = 0.29, 0.40, 0.51, 0.43, and -0.32 with p = 0.0027, p < 0.0001, p < 0.0001, p < 0.0001, and p = 0.0012, respectively), whereas IER and SER from standard DCE-MRI did not. CONCLUSION: The parameters of the EMM, especially the initial slope or Aα, for ultrafast DCE-MRI correlated with MVD in invasive breast cancer.
RATIONALE AND OBJECTIVES: To evaluate whether parameters from empirical mathematical model (EMM) for ultrafast dynamic contrast-enhanced (DCE) magnetic resonance imaging (MRI) correlate with histological microvessel density (MVD) in invasive breast cancer. MATERIALS AND METHODS: Ninety-eight consecutive patients with invasive breast cancer underwent an institutional review board-approved ultrafast DCE-MRI including a pre- and 18 postcontrast whole breast ultrafast scans (3 seconds) followed by four standard scans (60 seconds) using a 3T system. Region of interest was placed within each lesion where the highest signal increase was observed on ultrafast DCE-MRI, and the increase rate of enhancement was calculated as follows: ΔS = (SIpost - SIpre)/SIpre. The kinetic curve obtained from ultrafast DCE-MRI was analyzed using a truncated EMM: ΔS(t) = A(1 - e-αt), where A is the upper limit of the signal intensity, α (min-1) is the rate of signal increase. The initial slope of the kinetic curve is given by Aα. Initial area under curve (AUC30) and time of initial enhancement was calculated. From the standard DCE-MRI, the initial enhancement rate (IER) and the signal enhancement ratio (SER) were calculated as follows: IER = (SIearly - SIpre)/SIpre, SER = (SIearly - SIpre)/(SIdelayed - SIpre). The parameters were compared to MVD obtained from surgical specimens. RESULTS: A, α, Aα, AUC30, and time of initial enhancement significantly correlated with MVD (r = 0.29, 0.40, 0.51, 0.43, and -0.32 with p = 0.0027, p < 0.0001, p < 0.0001, p < 0.0001, and p = 0.0012, respectively), whereas IER and SER from standard DCE-MRI did not. CONCLUSION: The parameters of the EMM, especially the initial slope or Aα, for ultrafast DCE-MRI correlated with MVD in invasive breast cancer.
Authors: E R Horak; R Leek; N Klenk; S LeJeune; K Smith; N Stuart; M Greenall; K Stepniewska; A L Harris Journal: Lancet Date: 1992-11-07 Impact factor: 79.321
Authors: C Charpin; B Devictor; D Bergeret; L Andrac; J Boulat; N Horschowski; M N Lavaut; L Piana Journal: Am J Clin Pathol Date: 1995-04 Impact factor: 2.493
Authors: Ritse M Mann; Roel D Mus; Jan van Zelst; Christian Geppert; Nico Karssemeijer; Bram Platel Journal: Invest Radiol Date: 2014-09 Impact factor: 6.016
Authors: Anna G Sorace; Asser A Elkassem; Samuel J Galgano; Suzanne E Lapi; Benjamin M Larimer; Savannah C Partridge; C Chad Quarles; Kirsten Reeves; Tiara S Napier; Patrick N Song; Thomas E Yankeelov; Stefanie Woodard; Andrew D Smith Journal: Semin Nucl Med Date: 2020-06-10 Impact factor: 4.446
Authors: Jennifer Xiao; Habib Rahbar; Daniel S Hippe; Mara H Rendi; Elizabeth U Parker; Neal Shekar; Michael Hirano; Kevin J Cheung; Savannah C Partridge Journal: NPJ Breast Cancer Date: 2021-04-16