Literature DB >> 28948859

Whole-Body Distribution of Leukemia and Functional Total Marrow Irradiation Based on FLT-PET and Dual-Energy CT.

Taiki Magome1,2, Jerry Froelich3, Shernan G Holtan4, Yutaka Takahashi2,5, Michael R Verneris4, Keenan Brown6, Kathryn Dusenbery7, Jeffrey Wong8, Susanta K Hui2,7,8.   

Abstract

This report describes a multimodal whole-body 3'-deoxy-3'[(18)F]-fluorothymidine positron emission tomography (FLT-PET) and dual-energy computed tomography (DECT) method to identify leukemia distribution within the bone marrow environment (BME) and to develop disease- and/or BME-specific radiation strategies. A control participant and a newly diagnosed patient with acute myeloid leukemia prior to induction chemotherapy were scanned with FLT-PET and DECT. The red marrow (RM) and yellow marrow (YM) of the BME were segmented from DECT using a basis material decomposition method. Functional total marrow irradiation (fTMI) treatment planning simulations were performed combining FLT-PET and DECT imaging to differentially target irradiation to the leukemia niche and the rest of the skeleton. Leukemia colonized both RM and YM regions, adheres to the cortical bone in the spine, and has enhanced activity in the proximal/distal femur, suggesting a potential association of leukemia with the BME. The planning target volume was reduced significantly in fTMI compared with conventional TMI. The dose to active disease (standardized uptake value >4) was increased by 2-fold, while maintaining doses to critical organs similar to those in conventional TMI. In conclusion, a hybrid system of functional-anatomical-physiological imaging can identify the spatial distribution of leukemia and will be useful to both help understand the leukemia niche and develop targeted radiation strategies.

Entities:  

Keywords:  FLT-PET; dual-energy CT; functional total marrow irradiation; leukemia; red marrow; yellow marrow

Mesh:

Substances:

Year:  2017        PMID: 28948859      PMCID: PMC5624344          DOI: 10.1177/1536012117732203

Source DB:  PubMed          Journal:  Mol Imaging        ISSN: 1535-3508            Impact factor:   4.488


Introduction

Total marrow irradiation (TMI) with helical tomotherapy or volumetric-modulated arc therapy is a sophisticated technique for conditioning before hematopoietic cell transplantation.[1-3] Total marrow irradiation focuses radiation to the entire skeletal anatomy albeit with the simplified premise that hematologic disease is distributed homogeneously in the bone marrow (BM). However, there is limited knowledge about the biological target and its spatial distribution, limiting the possibility of biological targeting rather than anatomical targeting. Furthermore, preclinical studies indicate the structural and functional heterogeneity of BM[4,5] and the potential role of the local bone marrow environment (BME) in leukemia resistance.[6-9] Despite the growing appreciation of the BME in preclinical systems, application at the clinical level has remained challenging. Bone marrow biopsies performed for diagnosis and prognostication provide valuable details regarding marrow composition and molecular profiles of malignant cells. However, a BM biopsy is an invasive procedure and is limited to specific anatomic regions, which may or may not reflect overall disease burden, and it lacks 3-dimensional resolution. It may be valuable to supplement diagnostic information from a BM biopsy with an assessment that considers the whole body (WB) to more fully document disease burden and develop a personalized approach to treating the leukemia niche. We recently reported on the use of WB dual-energy computed tomography (DECT) to reveal a skeletal-wide heterogeneity within red marrow (RM) and yellow marrow (YM) composition, and the TMI irradiation technique was proposed for targeting specific BME regions, offering a significant dose reduction to critical organs.[10] Furthermore, by use of 3′-deoxy-3′[(18)F]-fluorothymidine positron emission tomography (FLT-PET) imaging, the heterogeneous nature of acute myelogenous leukemia (AML) in the skeletal system was suggested.[11] We now present a novel hybrid WB FLT-PET-DECT imaging strategy to identify the spatial distribution of leukemia and its association with the BME. We further show how hybrid imaging combined with intensity-modulated radiation could facilitate molecular image-guided functional marrow irradiation, consequently allowing further dose escalation.

Materials and Methods

Data Acquisition

After institutional review board approval, a control participant (full recovery patient, received total body irradiation 13.2 Gy, imaged at day 100 posttransplant) and a participant with newly diagnosed AML (female, 80% blasts measured by marrow aspirate) were imaged with FLT-PET and DECT (Biograph mCT; Siemens, Erlangen, Germany). At 60 minutes post-FLT (∼185 MBq) intravenous (IV) injection, WB static imaging was acquired. Acquisition time was 3 minutes per bed position. The DECT acquisitions (140 and 80 kVp energy, 5-mm slice thickness, 1.37-mm pixel size) were performed, followed by PET acquisition (5-mm slice thickness, 3.18-mm pixel size).

Calculation of FLT-Avid Regions

The FLT-avid region was defined by standardized uptake value (SUV) as follows: where U is the tissue uptake activity (Bq/g), w is the patient’s body weight (g), and D is the injected dose at the time of administration (Bq).

Calculation of RM and YM Regions Based on DECT

The RM and YM were segmented from DECT based on a basis material decomposition by using QCT Pro (Mindways Software, Austin, Texas), with details reported previously.[10,12] The volumetric overlap between FLT-avid and marrow regions was evaluated by Dice similarity coefficient (DSC).[13] Binary PET images were created for the calculation of DSCs by changing the SUV threshold value. The DSC value ranges from 0 (noncorrespondence) to 1 (complete overlap).

Simulation of Functional Marrow Irradiation

For TMI, the entire skeleton (including both RM and YM) was used as a clinical target volume (CTV), and the planning target volume (PTV) was generated with 5 mm margin to CTV. For differential targeted radiation, simulation was separated into 2 groups. Category I: Dose optimization to disease and BM, representing TMI and biological targeting using (i) FLT-based TMI, 18 Gy irradiation to FLT-avid regions and 12 Gy to the remaining skeleton, and (ii) DECT-based TMI, higher dose (18 Gy) irradiation to the functional marrow (ie, RM) detected by DECT and a lower dose (12 Gy) to rest of the skeletal system. Category II: Further dose escalation in PET-positive active disease. The details of treatment planning were reported previously.[10]

Results and Discussion

Figure 1A (i and ii) shows WB distributions of FLT-PET. Even with 80% blasts as measured by the marrow aspirate in the patient with AML, the FLT was inhomogeneously distributed, especially in the femur. Figure 1B-D shows SUVs of specific regions. The patient with AML has higher activity than the control participant. Overall, leukemic activity is relatively higher in the spine than in other skeletal regions. The difference between SUVmax and SUVmean is more pronounced in femoral regions than in spine regions. This result is potentially because of a large heterogeneity of SUV distribution in locally focused regions (Figure 1A [ii]). The site-specific nature of FLT activity will be monitored in future clinical trial.
Figure 1.

A, (i) Whole-body distribution of static FLT-PET in a control participant and a patient with AML, (ii) CT-based anatomical FLT distribution in the patient with AML. B-D, The SUVs mean (SUVmean) and maximum (SUVmax) of specific regions. AML indicates acute myelogenous leukemia; CT, computed tomography; FLT, 3′-deoxy-3′[(18)F]-fluorothymidine; PET, positron emission tomography; SUV, standardized uptake value.

A, (i) Whole-body distribution of static FLT-PET in a control participant and a patient with AML, (ii) CT-based anatomical FLT distribution in the patient with AML. B-D, The SUVs mean (SUVmean) and maximum (SUVmax) of specific regions. AML indicates acute myelogenous leukemia; CT, computed tomography; FLT, 3′-deoxy-3′[(18)F]-fluorothymidine; PET, positron emission tomography; SUV, standardized uptake value. Figure 2A shows the DSC between the regions obtained by FLT-PET and DECT of the patient with AML. The maximum DSC value between RM regions and FLT-avid regions was 0.497, with the SUV threshold >4.0. On the other hand, the DSC value remains less than 0.1 between YM regions and FLT-avid regions. Figure 2B shows the distribution of FLT-avid regions (SUV threshold >4.0) and RM and YM regions. Figure 2C shows profiles of SUV in 3 local regions with structures of cortical bone, RM, and YM. This specific patient had predominantly high RM activity. At an older age, and due to treatment effect, the YM content increases heterogeneously as previously reported.[10] Further detailed analysis (Figure 2C) reveals colonization of leukemia in the RM, YM, and endosteum, suggesting a potential association of leukemia disease with skeletal locations and local BME. To the best of our knowledge, this is the first report showing skeletal-wide preferential leukemia homing in the BME beyond the commonly known hematopoietic marrow niche. This method will facilitate investigating the potential association of the skeletal macroenvironment (eg, BM adipocytes) and leukemia relapse in future clinical studies.
Figure 2.

Comparison of FLT-based leukemia niche and DECT-based marrow regions. A, Dice similarity coefficient between FLT-avid regions and red or yellow marrow regions of a patient with AML. B, Global distribution of leukemia (FLT-avid [cyan], SUV threshold >4.0), red marrow (red), and yellow marrow (yellow) regions. C, Regional distribution of leukemia in 3 skeletal regions with structures of cortical bone (green), red marrow (red), and yellow marrow (yellow). AML indicates acute myelogenous leukemia; DECT, dual-energy computed tomography; FLT, 3′-deoxy-3′[(18)F]-fluorothymidine; SUV, standardized uptake value.

Comparison of FLT-based leukemia niche and DECT-based marrow regions. A, Dice similarity coefficient between FLT-avid regions and red or yellow marrow regions of a patient with AML. B, Global distribution of leukemia (FLT-avid [cyan], SUV threshold >4.0), red marrow (red), and yellow marrow (yellow) regions. C, Regional distribution of leukemia in 3 skeletal regions with structures of cortical bone (green), red marrow (red), and yellow marrow (yellow). AML indicates acute myelogenous leukemia; DECT, dual-energy computed tomography; FLT, 3′-deoxy-3′[(18)F]-fluorothymidine; SUV, standardized uptake value. To investigate the therapeutic advantage of this multimodal imaging, treatment planning simulations were performed. In category I simulation, the primary PTV of FLT and DECT-based TMI was reduced to 26% and 25%, respectively, compared with conventional TMI (Figure 3A). Figure 3B shows the dose distribution of conventional, FLT, and DECT-based TMI plans, and Figure 3C shows corresponding dose–volume histograms (DVHs), suggesting that doses to critical organs could be reduced in FLT and DECT-based TMI plans. This approach presumably may be applied to kill more leukemic cells in targeted regions in comparison to conventional TMI, as well as reduce radiation to other BM sites to potentially preserve the BME. In category II, Figure 4 shows stepwise dose escalation to FLT-avid (SUV >4) regions, from 18 up to 36 Gy, while doses to critical organs were similar. The DVHs of FLT-avid regions (boost target) at different dose levels and associated DVHs for critical organs are shown in Figure 4B and C. At the highest dose escalation to boost target (100% increase), DVHs for lungs, kidneys, and heart show slight (∼10%) enhanced radiation exposure. However, these dose exposures to critical organs are still much less than the WB exposure of 12 to 13.2 Gy from commonly used myeloablative total body radiation conditioning regimens. Future clinical evaluation will be required to optimize boost dose while limiting organ toxicity in an appropriate population that may benefit. For example, Stein et al achieved radiation dose escalation to the entire skeletal target with increased survival benefit; however, relapses continue to be high.[14] A further increase in dose to the skeletal system is not feasible due to increased dose to critical organs, which could lead to organ toxicities. Our simulation suggests potential dose enhancement to PET-avid regions to kill comparatively higher numbers of radiosensitive leukemia cells without increasing toxicities to critical organs. A heterogeneous distribution of AML in the skeletal system was reported to be associated with chemoresistance.[11] To evaluate the impact of heterogeneous distribution and location of PET-positive regions on this dose escalation strategy, an observational clinical trial may be a necessary next step. As the CT scan is part of PET-CT imaging, integration of this process will be straightforward and cost-effective. However, one may need to verify marrow composition with a “gold standard” magnetic resonance imaging in some skeletal sites, as shown in our previous work.[15] Because the low patient numbers herein pose a limitation, this method is being implemented with a larger patient population in a prospective clinical trial.
Figure 3.

Comparison of conventional TMI, FLT-based TMI, and DECT-based TMI. A, Comparison of planning target volumes. B, Dose distributions of conventional, FLT-based, and DECT-based TMI plans. C, Dose–volume histograms of conventional (blue), FLT-based (green), and DECT-based (red) TMI plans. DECT indicates dual-energy computed tomography; FLT, 3′-deoxy-3′[(18)F]-fluorothymidine; TMI, total marrow irradiation.

Figure 4.

Assessment of stepwise dose escalation (boost) to FLT-avid (SUV >4) regions. A, Mean dose (Gy) comparisons of various targets and critical organs while increasing dose to FLT-avid region. B. The DVHs coverage of FLT-avid (boost target) at different dose levels (18, 22, 27, and 36 Gy). The PTV target (defined as 18 Gy) represents the entire skeleton for conventional TMI planning, and it represents the remaining skeletal region separated from the FLT-avid region for boost treatment. C, Changes in DVHs for critical organs (lungs, kidneys, heart, and eyes) when the FLT-avid dose is increased from 18 to 36 Gy (shown in B). DECT indicates dual-energy computed tomography; DVHs, dose–volume histograms; FLT, 3′-deoxy-3′[(18)F]-fluorothymidine; PTV, planning target volume; SUV, standardized uptake value; TMI, total marrow irradiation.

Comparison of conventional TMI, FLT-based TMI, and DECT-based TMI. A, Comparison of planning target volumes. B, Dose distributions of conventional, FLT-based, and DECT-based TMI plans. C, Dose–volume histograms of conventional (blue), FLT-based (green), and DECT-based (red) TMI plans. DECT indicates dual-energy computed tomography; FLT, 3′-deoxy-3′[(18)F]-fluorothymidine; TMI, total marrow irradiation. Assessment of stepwise dose escalation (boost) to FLT-avid (SUV >4) regions. A, Mean dose (Gy) comparisons of various targets and critical organs while increasing dose to FLT-avid region. B. The DVHs coverage of FLT-avid (boost target) at different dose levels (18, 22, 27, and 36 Gy). The PTV target (defined as 18 Gy) represents the entire skeleton for conventional TMI planning, and it represents the remaining skeletal region separated from the FLT-avid region for boost treatment. C, Changes in DVHs for critical organs (lungs, kidneys, heart, and eyes) when the FLT-avid dose is increased from 18 to 36 Gy (shown in B). DECT indicates dual-energy computed tomography; DVHs, dose–volume histograms; FLT, 3′-deoxy-3′[(18)F]-fluorothymidine; PTV, planning target volume; SUV, standardized uptake value; TMI, total marrow irradiation. In conclusion, we developed a hybrid system of functional–anatomical–physiological imaging that offers the possibility of identifying the spatial distribution of leukemia on site-specific skeletal compositions. This method will facilitate the future clinical investigation of the role of the skeletal macro- and microenvironment in leukemia disease patterns and relapse. Additionally, FLT-PET-guided fTMI could offer an alternative option for further dose escalation strategies in a patient population with a high risk of relapse.
  14 in total

1.  Phase I Trial of Total Marrow and Lymphoid Irradiation Transplantation Conditioning in Patients with Relapsed/Refractory Acute Leukemia.

Authors:  Anthony Stein; Joycelynne Palmer; Ni-Chun Tsai; Monzr M Al Malki; Ibrahim Aldoss; Haris Ali; Ahmed Aribi; Len Farol; Chatchada Karanes; Samer Khaled; An Liu; Margaret O'Donnell; Pablo Parker; Anna Pawlowska; Vinod Pullarkat; Eric Radany; Joseph Rosenthal; Firoozeh Sahebi; Amandeep Salhotra; James F Sanchez; Tim Schultheiss; Ricardo Spielberger; Sandra H Thomas; David Snyder; Ryotaro Nakamura; Guido Marcucci; Stephen J Forman; Jeffrey Wong
Journal:  Biol Blood Marrow Transplant       Date:  2017-01-10       Impact factor: 5.742

2.  Dose escalation of total marrow irradiation with concurrent chemotherapy in patients with advanced acute leukemia undergoing allogeneic hematopoietic cell transplantation.

Authors:  Jeffrey Y C Wong; Stephen Forman; George Somlo; Joseph Rosenthal; An Liu; Timothy Schultheiss; Eric Radany; Joycelynne Palmer; Anthony Stein
Journal:  Int J Radiat Oncol Biol Phys       Date:  2012-05-15       Impact factor: 7.038

3.  Total marrow irradiation with RapidArc volumetric arc therapy.

Authors:  Bulent Aydogan; Mete Yeginer; Gulbin O Kavak; John Fan; James A Radosevich; Kim Gwe-Ya
Journal:  Int J Radiat Oncol Biol Phys       Date:  2011-02-23       Impact factor: 7.038

Review 4.  Niche contributions to oncogenesis: emerging concepts and implications for the hematopoietic system.

Authors:  Marc H G P Raaijmakers
Journal:  Haematologica       Date:  2011-04-01       Impact factor: 9.941

5.  Myeloproliferative neoplasia remodels the endosteal bone marrow niche into a self-reinforcing leukemic niche.

Authors:  Koen Schepers; Eric M Pietras; Damien Reynaud; Johanna Flach; Mikhail Binnewies; Trit Garg; Amy J Wagers; Edward C Hsiao; Emmanuelle Passegué
Journal:  Cell Stem Cell       Date:  2013-07-11       Impact factor: 24.633

6.  A phase I feasibility study of multi-modality imaging assessing rapid expansion of marrow fat and decreased bone mineral density in cancer patients.

Authors:  Susanta K Hui; Luke Arentsen; Thanasak Sueblinvong; Keenan Brown; Pat Bolan; Rahel G Ghebre; Levi Downs; Ryan Shanley; Karen E Hansen; Anne G Minenko; Yutaka Takhashi; Masashi Yagi; Yan Zhang; Melissa Geller; Margaret Reynolds; Chung K Lee; Anne H Blaes; Sharon Allen; Bruno Beomonte Zobel; Chap Le; Jerry Froelich; Clifford Rosen; Douglas Yee
Journal:  Bone       Date:  2014-12-20       Impact factor: 4.398

7.  Validation of marrow fat assessment using noninvasive imaging with histologic examination of human bone samples.

Authors:  Luke Arentsen; Masashi Yagi; Yutaka Takahashi; Patrick J Bolan; Melissa White; Douglas Yee; Susanta Hui
Journal:  Bone       Date:  2014-11-12       Impact factor: 4.398

8.  Evaluation of Functional Marrow Irradiation Based on Skeletal Marrow Composition Obtained Using Dual-Energy Computed Tomography.

Authors:  Taiki Magome; Jerry Froelich; Yutaka Takahashi; Luke Arentsen; Shernan Holtan; Michael R Verneris; Keenan Brown; Akihiro Haga; Keiichi Nakagawa; Jennifer L Holter Chakrabarty; Sebastian Giebel; Jeffrey Wong; Kathryn Dusenbery; Guy Storme; Susanta K Hui
Journal:  Int J Radiat Oncol Biol Phys       Date:  2016-07-06       Impact factor: 7.038

9.  Multimodal imaging reveals structural and functional heterogeneity in different bone marrow compartments: functional implications on hematopoietic stem cells.

Authors:  Francois Lassailly; Katie Foster; Lourdes Lopez-Onieva; Erin Currie; Dominique Bonnet
Journal:  Blood       Date:  2013-06-27       Impact factor: 22.113

10.  Bone-marrow adipocytes as negative regulators of the haematopoietic microenvironment.

Authors:  Olaia Naveiras; Valentina Nardi; Pamela L Wenzel; Peter V Hauschka; Frederic Fahey; George Q Daley
Journal:  Nature       Date:  2009-06-10       Impact factor: 49.962

View more
  7 in total

1.  The safety and efficacy of a novel hypo-fractionated total marrow and lymphoid irradiation before allogeneic stem cell transplantation for lymphoma and acute leukemia.

Authors:  Liu Shi; Xuan Lu; Di Deng; Lijing Yang; Hongli Zhao; Jiuling Shen; Xiaoyong Wang; Conghua Xie; An Liu; Yang Cao; Yu Xiong
Journal:  Clin Transl Radiat Oncol       Date:  2020-11-12

2.  ImmunoPET, [64Cu]Cu-DOTA-Anti-CD33 PET-CT, Imaging of an AML Xenograft Model.

Authors:  Sargur Madabushi Srideshikan; Jamison Brooks; Darren Zuro; Bijender Kumar; James Sanchez; Liliana Echavarria Parra; Marvin Orellana; Paresh Vishwasrao; Indu Nair; Junie Chea; Kofi Poku; Nicole Bowles; Aaron Miller; Todd Ebner; Justin Molnar; Joseph Rosenthal; Daniel A Vallera; Jeffrey Y C Wong; Anthony S Stein; David Colcher; John E Shively; Paul J Yazaki; Susanta K Hui
Journal:  Clin Cancer Res       Date:  2019-09-23       Impact factor: 12.531

Review 3.  MRI and PET/MRI in hematologic malignancies.

Authors:  Marius E Mayerhoefer; Stephen J Archibald; Christina Messiou; Anton Staudenherz; Dominik Berzaczy; Heiko Schöder
Journal:  J Magn Reson Imaging       Date:  2019-07-01       Impact factor: 4.813

4.  Characterization of size-specific effects during dual-energy CT material decomposition of non-iodine materials.

Authors:  Jessica Miller; Lianna DiMaso; Jessie Huang-Vredevoogd; Jainil Shah; Michael Lawless
Journal:  J Appl Clin Med Phys       Date:  2021-11-16       Impact factor: 2.102

Review 5.  Total marrow irradiation (TMI): Addressing an unmet need in hematopoietic cell transplantation - a single institution experience review.

Authors:  Jeffrey Y C Wong; An Liu; Chunhui Han; Savita Dandapani; Timothy Schultheiss; Joycelynne Palmer; Dongyun Yang; George Somlo; Amandeep Salhotra; Susanta Hui; Monzr M Al Malki; Joseph Rosenthal; Anthony Stein
Journal:  Front Oncol       Date:  2022-10-03       Impact factor: 5.738

6.  First Multimodal, Three-Dimensional, Image-Guided Total Marrow Irradiation Model for Preclinical Bone Marrow Transplantation Studies.

Authors:  Darren Zuro; Srideshikan Sargur Madabushi; Jamison Brooks; Bihong T Chen; Janagama Goud; Amandeep Salhotra; Joo Y Song; Liliana Echavarria Parra; Antonio Pierini; James F Sanchez; Anthony Stein; Monzr Al Malki; Marcin Kortylewski; Jeffrey Y C Wong; Parham Alaei; Jerry Froelich; Guy Storme; Susanta K Hui
Journal:  Int J Radiat Oncol Biol Phys       Date:  2021-06-11       Impact factor: 7.038

Review 7.  Progression of Myeloproliferative Neoplasms (MPN): Diagnostic and Therapeutic Perspectives.

Authors:  Julian Baumeister; Nicolas Chatain; Alexandros Marios Sofias; Twan Lammers; Steffen Koschmieder
Journal:  Cells       Date:  2021-12-16       Impact factor: 6.600

  7 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.