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Ahmad A. Alhulail1, Mahsa Servati2,3, Nathan Ooms2,3, Oguz Akin4, Alp Dincer5,6,
M. Albert Thomas7, Ulrike Dydak2,3, Uzay E Emir2,8
1Department of Radiology and Medical Imaging, Prince Sattam bin Abdulaziz University, Al Kharj, Saudi Arabia,
2School of Health Sciences, Purdue University, West Lafayette, IN, USA,
3Department of Radiology and Imaging Sciences, Indiana University School of Medicine, Indianapolis, IN, USA,
4Department of Radiology, Memorial Sloan Kettering Cancer Center, New York, NY, USA,
5Department of Radiology, School of Medicine, Acıbadem Mehmet Ali Aydinlar University, Istanbul, Turkey,
6Center for Neuroradiological Applications and Research, Acıbadem Mehmet Ali Aydinlar University, Istanbul, Turkey,
7Department of Radiology, University of California Los Angeles, Los Angeles, CA, USA,
8Weldon School of Biomedical Engineering, Purdue University, West Lafayette, IN, USA.
Proposing an Accelerated Magnetic Resonance
Spectroscopic Imaging Acquisition as a Promising
Tool to Investigate Heterogeneous Renal Cell
Carcinoma: Feasibility and Reliability Study at 3 T
Speaker Name: Ahmad Alhulail
I have no financial interests or relationships to disclose with regard to the
subject matter of this presentation.
Declaration of
Financial Interests or Relationships
ISMRM Workshop on
Kidney MRI Biomarkers: The Route to Clinical Adoption
10-12 September 2021
Philadelphia, PA, USA • Lisbon, Portugal • Online
Renal Lipid
• Renal cell carcinoma (RCC) cells are lipid-rich
• Differentiation from other histological subtypes
could be feasible by the detection of intracellular
lipid contents
→ we need a method to differentiate intracellular
lipid contents
Renal Lipid Measurement Methods & Challenges
Method Limitation
In vitro ▪ Invasive; not suitable for follow-up studies.
▪ No spatial distribution of lipids; represents only a
small renal volume (not for heterogeneous RCC).
Imaging ▪ Maps the summed fat fraction; does not provide
information about the different lipid components.
Single-voxel MRS ▪ Cannot map the lipid distribution within
heterogeneous tumors.
Conventional multi-voxel
MRS imaging (MRSI)
▪ Requires a long acquisition duration (15-60
minutes)
• Investigate the feasibility of our high-resolution
fast metabolite-cycled density-weighted concentric
rings k-space trajectory MRSI acquisition1,2
• To acquire high-quality quantitative renal data in
healthy volunteers
• Within a short scan time (3:16 min)
• To establish the signature of the lipid composition
of healthy renal tissues
This Work
Ref.1
Ref.2
Methods
▪ Hardware:
a flexible 18-channel body coil attached to a 3T Siemens Prisma scanner.
▪ In-vivo study design:
Abdominal test-retest scans on 5 healthy human subjects.
▪ MRSI scanning parameters:
➢ A grid of 48 x 48 voxels (each with 0.25 ml size) was assigned.
➢ Acquisition delay = 4 ms; TR = 1 sec; 1 average; spectral BW = 1250 Hz.
➢ No respiratory navigation/triggering was used.
▪ Lipid quantification:
➢ Lipid peak signals were fitted by LCModel
➢ The results are represented as fat-fraction (FF) =
𝐿𝑖𝑝𝑖𝑑 𝑠𝑖𝑔𝑛𝑎𝑙𝑠
𝐿𝑖𝑝𝑖𝑑 +𝑊𝑎𝑡𝑒𝑟 𝑠𝑖𝑔𝑛𝑎𝑙𝑠
• Representative data acquired from the same subject (axial view).
• The MRSI map agrees with the structural MRI images.
• The yellow box highlights the shimming area (left kidney).
Results: MRSI Structural Map vs. MRI Image
• Representative baseline and repeat scan data (axial view).
• The MRSI maps of the left kidney fat fraction overlaid over
their corresponding structural HASTE-MR images.
Results: Baseline & Repeat Scan Data
Repeatability Results: a. Quantification
Subject Mean FF [%] CV [%]
1 1.01 ± 0.05 4.9
2 1.60 ± 0.02 1.3
3 1.11 ± 0.06 5.8
4 1.69 ± 0.03 2.0
5 2.00 ± 0.15 7.4
Repeatability Results: a. Signature of the Lipid Composition
Conclusions & Discussion
▪ Proposed MRSI method advantages:
➢ It provides the content and spatial information of kidney lipids
➢ High in-plane resolution (5 x 5 mm2)
➢ Within a short scan time (3:16 min)
➢ The high degree of reproducibility of FF (CV <10%) supports the
future application of this technique for non-invasive
characterization of the heterogeneous RCC.
▪ Limitations: lower spatial resolution compared to MRI techniques.
Acknowledgements
Coauthors/Collaborators:
Purdue University:
Uzay E Emir (PI)
Ulrike Dydak
Mahsa Servati
Nathan Ooms
Memorial Sloan Kettering
Cancer Center:
Oguz Akin
Acıbadem Mehmet Ali
Aydinlar University:
Alp Dincer
University of California
Los Angeles:
M. Albert Thomas
Support:
Indiana CTSI, funded in part by grant #UL1TR001108 from the NIH, NCATS, CTS Award.

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Proposing an Accelerated Magnetic Resonance Spectroscopic Imaging Acquisition as a Promising Tool to Investigate Heterogeneous Renal Cell Carcinoma: Feasibility and Reliability Study at 3 T

  • 1. Ahmad A. Alhulail1, Mahsa Servati2,3, Nathan Ooms2,3, Oguz Akin4, Alp Dincer5,6, M. Albert Thomas7, Ulrike Dydak2,3, Uzay E Emir2,8 1Department of Radiology and Medical Imaging, Prince Sattam bin Abdulaziz University, Al Kharj, Saudi Arabia, 2School of Health Sciences, Purdue University, West Lafayette, IN, USA, 3Department of Radiology and Imaging Sciences, Indiana University School of Medicine, Indianapolis, IN, USA, 4Department of Radiology, Memorial Sloan Kettering Cancer Center, New York, NY, USA, 5Department of Radiology, School of Medicine, Acıbadem Mehmet Ali Aydinlar University, Istanbul, Turkey, 6Center for Neuroradiological Applications and Research, Acıbadem Mehmet Ali Aydinlar University, Istanbul, Turkey, 7Department of Radiology, University of California Los Angeles, Los Angeles, CA, USA, 8Weldon School of Biomedical Engineering, Purdue University, West Lafayette, IN, USA. Proposing an Accelerated Magnetic Resonance Spectroscopic Imaging Acquisition as a Promising Tool to Investigate Heterogeneous Renal Cell Carcinoma: Feasibility and Reliability Study at 3 T
  • 2. Speaker Name: Ahmad Alhulail I have no financial interests or relationships to disclose with regard to the subject matter of this presentation. Declaration of Financial Interests or Relationships ISMRM Workshop on Kidney MRI Biomarkers: The Route to Clinical Adoption 10-12 September 2021 Philadelphia, PA, USA • Lisbon, Portugal • Online
  • 3. Renal Lipid • Renal cell carcinoma (RCC) cells are lipid-rich • Differentiation from other histological subtypes could be feasible by the detection of intracellular lipid contents → we need a method to differentiate intracellular lipid contents
  • 4. Renal Lipid Measurement Methods & Challenges Method Limitation In vitro ▪ Invasive; not suitable for follow-up studies. ▪ No spatial distribution of lipids; represents only a small renal volume (not for heterogeneous RCC). Imaging ▪ Maps the summed fat fraction; does not provide information about the different lipid components. Single-voxel MRS ▪ Cannot map the lipid distribution within heterogeneous tumors. Conventional multi-voxel MRS imaging (MRSI) ▪ Requires a long acquisition duration (15-60 minutes)
  • 5. • Investigate the feasibility of our high-resolution fast metabolite-cycled density-weighted concentric rings k-space trajectory MRSI acquisition1,2 • To acquire high-quality quantitative renal data in healthy volunteers • Within a short scan time (3:16 min) • To establish the signature of the lipid composition of healthy renal tissues This Work Ref.1 Ref.2
  • 6. Methods ▪ Hardware: a flexible 18-channel body coil attached to a 3T Siemens Prisma scanner. ▪ In-vivo study design: Abdominal test-retest scans on 5 healthy human subjects. ▪ MRSI scanning parameters: ➢ A grid of 48 x 48 voxels (each with 0.25 ml size) was assigned. ➢ Acquisition delay = 4 ms; TR = 1 sec; 1 average; spectral BW = 1250 Hz. ➢ No respiratory navigation/triggering was used. ▪ Lipid quantification: ➢ Lipid peak signals were fitted by LCModel ➢ The results are represented as fat-fraction (FF) = 𝐿𝑖𝑝𝑖𝑑 𝑠𝑖𝑔𝑛𝑎𝑙𝑠 𝐿𝑖𝑝𝑖𝑑 +𝑊𝑎𝑡𝑒𝑟 𝑠𝑖𝑔𝑛𝑎𝑙𝑠
  • 7. • Representative data acquired from the same subject (axial view). • The MRSI map agrees with the structural MRI images. • The yellow box highlights the shimming area (left kidney). Results: MRSI Structural Map vs. MRI Image
  • 8. • Representative baseline and repeat scan data (axial view). • The MRSI maps of the left kidney fat fraction overlaid over their corresponding structural HASTE-MR images. Results: Baseline & Repeat Scan Data
  • 9. Repeatability Results: a. Quantification Subject Mean FF [%] CV [%] 1 1.01 ± 0.05 4.9 2 1.60 ± 0.02 1.3 3 1.11 ± 0.06 5.8 4 1.69 ± 0.03 2.0 5 2.00 ± 0.15 7.4
  • 10. Repeatability Results: a. Signature of the Lipid Composition
  • 11. Conclusions & Discussion ▪ Proposed MRSI method advantages: ➢ It provides the content and spatial information of kidney lipids ➢ High in-plane resolution (5 x 5 mm2) ➢ Within a short scan time (3:16 min) ➢ The high degree of reproducibility of FF (CV <10%) supports the future application of this technique for non-invasive characterization of the heterogeneous RCC. ▪ Limitations: lower spatial resolution compared to MRI techniques.
  • 12. Acknowledgements Coauthors/Collaborators: Purdue University: Uzay E Emir (PI) Ulrike Dydak Mahsa Servati Nathan Ooms Memorial Sloan Kettering Cancer Center: Oguz Akin Acıbadem Mehmet Ali Aydinlar University: Alp Dincer University of California Los Angeles: M. Albert Thomas Support: Indiana CTSI, funded in part by grant #UL1TR001108 from the NIH, NCATS, CTS Award.