Michael A Jacobs1, Katarzyna J Macura2, Atif Zaheer3, Emmanuel S Antonarakis4, Vered Stearns4, Antonio C Wolff4, Thorsten Feiweier5, Ihab R Kamel3, Richard L Wahl6, Li Pan7. 1. The Russell H. Morgan Department of Radiology and Radiological Science, The Johns Hopkins University School of Medicine, Baltimore, MD 21205; Sidney Kimmel Comprehensive Cancer Center, The Johns Hopkins University School of Medicine, Baltimore, MD 21205. Electronic address: mikej@mri.jhu.edu. 2. The Russell H. Morgan Department of Radiology and Radiological Science, The Johns Hopkins University School of Medicine, Baltimore, MD 21205; Sidney Kimmel Comprehensive Cancer Center, The Johns Hopkins University School of Medicine, Baltimore, MD 21205. 3. The Russell H. Morgan Department of Radiology and Radiological Science, The Johns Hopkins University School of Medicine, Baltimore, MD 21205. 4. Sidney Kimmel Comprehensive Cancer Center, The Johns Hopkins University School of Medicine, Baltimore, MD 21205. 5. Siemens Healthcare GmbH, Erlangen, Germany. 6. The Russell H. Morgan Department of Radiology and Radiological Science, The Johns Hopkins University School of Medicine, Baltimore, MD 21205; Sidney Kimmel Comprehensive Cancer Center, The Johns Hopkins University School of Medicine, Baltimore, MD 21205; Mallinckrodt Institute of Radiology, Washington University, St. Louis, MO 63130. 7. Siemens Healthcare, Baltimore, MD 21287.
Abstract
RATIONALE AND OBJECTIVES: The purpose of this study was to investigate the use of multiparametric, whole-body, diffusion-weighted imaging (WB-DWI) and apparent diffusion coefficient (ADC) maps with T2-weighted magnetic resonance imaging (MRI) at 3T for the detection and monitoring of metastatic disease in patients. MATERIALS AND METHODS: Fifty-four participants (32 healthy subjects and 22 patients) were scanned with WB-DWI methods using a 3T MRI scanner. Axial, sagittal, or coronal fat-suppressed T2-weighted (T2WI), T1-weighted (T1WI), and DWI images were acquired. Total MRI acquisition and set-up time was approximately 45 minutes. Metastatic disease on MRI was confirmed based on T2WI characteristics. The number of lesions was established on computed tomography (CT) or positron emission tomography (PET-CT). Whole-body ADC maps and T2WI were constructed, and region-of-interests were drawn in normal and abnormal-appearing tissue for quantitative analysis. Statistical analysis was performed using a paired t tests and P < .05 was considered statistically significant. RESULTS: There were 91 metastatic lesions detected from the CT or PET-CT with a missed recurrent lesion in the prostate. Multiparametric WB-MRI had excellent sensitivity (96%) for detection of metastatic lesions compared to CT. ADC map values and the ADC ratio in metastatic bone lesions were significantly increased (P < .05) compared to normal bone. In soft tissue, ADC map values and ratios in metastatic lesions were decreased compared to normal soft tissue. CONCLUSION: We have demonstrated that multiparametric WB-MRI is feasible for oncologic staging to identify bony and visceral metastasis in breast, prostate, pancreatic, and colorectal cancers. WB-MRI can be tailored to fit the patient, such that an "individualized patient sequence" can be developed for a comprehensive evaluation for staging and response during treatment.
RATIONALE AND OBJECTIVES: The purpose of this study was to investigate the use of multiparametric, whole-body, diffusion-weighted imaging (WB-DWI) and apparent diffusion coefficient (ADC) maps with T2-weighted magnetic resonance imaging (MRI) at 3T for the detection and monitoring of metastatic disease in patients. MATERIALS AND METHODS: Fifty-four participants (32 healthy subjects and 22 patients) were scanned with WB-DWI methods using a 3T MRI scanner. Axial, sagittal, or coronal fat-suppressed T2-weighted (T2WI), T1-weighted (T1WI), and DWI images were acquired. Total MRI acquisition and set-up time was approximately 45 minutes. Metastatic disease on MRI was confirmed based on T2WI characteristics. The number of lesions was established on computed tomography (CT) or positron emission tomography (PET-CT). Whole-body ADC maps and T2WI were constructed, and region-of-interests were drawn in normal and abnormal-appearing tissue for quantitative analysis. Statistical analysis was performed using a paired t tests and P < .05 was considered statistically significant. RESULTS: There were 91 metastatic lesions detected from the CT or PET-CT with a missed recurrent lesion in the prostate. Multiparametric WB-MRI had excellent sensitivity (96%) for detection of metastatic lesions compared to CT. ADC map values and the ADC ratio in metastatic bone lesions were significantly increased (P < .05) compared to normal bone. In soft tissue, ADC map values and ratios in metastatic lesions were decreased compared to normal soft tissue. CONCLUSION: We have demonstrated that multiparametric WB-MRI is feasible for oncologic staging to identify bony and visceral metastasis in breast, prostate, pancreatic, and colorectal cancers. WB-MRI can be tailored to fit the patient, such that an "individualized patient sequence" can be developed for a comprehensive evaluation for staging and response during treatment.
Authors: H E Daldrup-Link; C Franzius; T M Link; D Laukamp; J Sciuk; H Jürgens; O Schober; E J Rummeny Journal: AJR Am J Roentgenol Date: 2001-07 Impact factor: 3.959
Authors: Michael A Jacobs; Ronald Ouwerkerk; Antonio C Wolff; Edward Gabrielson; Hind Warzecha; Stacie Jeter; David A Bluemke; Richard Wahl; Vered Stearns Journal: Breast Cancer Res Treat Date: 2011-04-01 Impact factor: 4.872
Authors: N M deSouza; S F Riches; N J Vanas; V A Morgan; S A Ashley; C Fisher; G S Payne; C Parker Journal: Clin Radiol Date: 2008-04-18 Impact factor: 2.350
Authors: Nicolas F Michoux; Jakub W Ceranka; Jef Vandemeulebroucke; Frank Peeters; Pierre Lu; Julie Absil; Perrine Triqueneaux; Yan Liu; Laurence Collette; Inneke Willekens; Carola Brussaard; Olivier Debeir; Stephan Hahn; Hubert Raeymaekers; Johan de Mey; Thierry Metens; Frédéric E Lecouvet Journal: Eur Radiol Date: 2021-01-06 Impact factor: 5.315
Authors: Koeun Lee; Ho Young Park; Kyung Won Kim; Amy Junghyun Lee; Min A Yoon; Eun Jin Chae; Jeong Hyun Lee; Hye Won Chung Journal: J Clin Orthop Trauma Date: 2019-05-29
Authors: Doris G Leung; Alex E Bocchieri; Shivani Ahlawat; Michael A Jacobs; Vishwa S Parekh; Vladimir Braverman; Katherine Summerton; Jennifer Mansour; Genila Bibat; Carl Morris; Shannon Marraffino; Kathryn R Wagner Journal: BMC Neurol Date: 2020-05-19 Impact factor: 2.474
Authors: Madeline E Carr; Kathryn E Keenan; Robba Rai; Michael A Boss; Peter Metcalfe; Amy Walker; Lois Holloway Journal: Med Phys Date: 2022-04-11 Impact factor: 4.506