Skip to main page content
U.S. flag

An official website of the United States government

Dot gov

The .gov means it’s official.
Federal government websites often end in .gov or .mil. Before sharing sensitive information, make sure you’re on a federal government site.

Https

The site is secure.
The https:// ensures that you are connecting to the official website and that any information you provide is encrypted and transmitted securely.

Access keys NCBI Homepage MyNCBI Homepage Main Content Main Navigation
Clinical Trial
. 2020 Dec 1;108(5):1240-1247.
doi: 10.1016/j.ijrobp.2020.06.071. Epub 2020 Jul 3.

A Multi-atlas Approach for Active Bone Marrow Sparing Radiation Therapy: Implementation in the NRG-GY006 Trial

Affiliations
Clinical Trial

A Multi-atlas Approach for Active Bone Marrow Sparing Radiation Therapy: Implementation in the NRG-GY006 Trial

Tahir Yusufaly et al. Int J Radiat Oncol Biol Phys. .

Abstract

Purpose: Sparing active bone marrow (ABM) can reduce acute hematologic toxicity in patients undergoing chemoradiotherapy for cervical cancer, but ABM segmentation based on positron emission tomography/computed tomography (PET/CT) is costly. We sought to develop an atlas-based ABM segmentation method for implementation in a prospective clinical trial.

Methods and materials: A multiatlas was built on a training set of 144 patients and validated in 32 patients from the NRG-GY006 clinical trial. ABM for individual patients was defined as the subvolume of pelvic bone greater than the individual mean standardized uptake value on registered 18F-fluorodeoxyglucose PET/CT images. Atlas-based and custom ABM segmentations were compared using the Dice similarity coefficient and mean distance to agreement and used to generate ABM-sparing intensity modulated radiation therapy plans. Dose-volume metrics and normal tissue complication probabilities of the two approaches were compared using linear regression.

Results: Atlas-based ABM volumes (mean [standard deviation], 548.4 [88.3] cm3) were slightly larger than custom ABM volumes (535.1 [93.2] cm3), with a Dice similarity coefficient of 0.73. Total pelvic bone marrow V20 and Dmean were systematically higher and custom ABM V10 was systematically lower with custom-based plans (slope: 1.021 [95% confidence interval (CI), 1.005-1.037], 1.014 [95% CI, 1.006-1.022], and 0.98 [95% CI, 0.97-0.99], respectively). We found no significant differences between atlas-based and custom-based plans in bowel, rectum, bladder, femoral heads, or target dose-volume metrics.

Conclusions: Atlas-based ABM segmentation can reduce pelvic bone marrow dose while achieving comparable target and other normal tissue dosimetry. This approach may allow ABM sparing in settings where PET/CT is unavailable.

PubMed Disclaimer

Figures

Fig. 1.
Fig. 1.
Flow diagram showing exclusion criteria applied to the training sample used to construct and validate an active bone marrow atlas. Abbreviations: CT = computed tomography; PET = positron emission tomography.
Fig. 2.
Fig. 2.
Canonical distribution of metabolically “active” bone marrow subregions in a patient with cervical cancer, with “active” marrow defined either by custom (A) positron emission tomography–based segmentation or (B) multiatlas-based segmentation.
Fig. 3.
Fig. 3.
Averaged dose-volume histogram (DVH) comparison for custom plans designed to spare active bone marrow (ABM) defined by positron emission tomography (PET) (dashed lines) versus ABM-sparing plans based on the atlas (solid lines), indicating similar results using either approach. Note the DVHs for ABM (left) depict results for the ABM that is defined by PET, indicating that atlas-based plans, on average, result in good sparing of the custom ABM. Abbreviation: PTV = planning target volume.
Fig. 4.
Fig. 4.
The custom-based active bone marrow (purple) may include outliers, such as seen in the left femur in this patient. The atlas-based method (blue), by virtue of averaging, removes outliers, consequently avoiding unnecessarily restrictive planning constraints that potentially compromise sparing of the overall pelvic bone volume.

References

    1. Torres MA, Jhingran A, Thames HD, et al. Comparison of treatment tolerance and outcomes in patients with cervical cancer treated with concurrent chemoradiotherapy in a prospective randomized trial or with standard treatment. Int J Radiat Oncol Biol Phys 2008;70:118–125. - PubMed
    1. Mell LK, Kochanski JD, Roeske JC, et al. Dosimetric predictors of acute hematologic toxicity in cervical cancer patients treated with concurrent cisplatin and intensity-modulated pelvic radiotherapy. Int J Radiat Oncol Biol Phys 2006;66:1356–1365. - PubMed
    1. Rose BS, Aydogan B, Liang Y, et al. Normal tissue complication probability modeling of acute hematologic toxicity in cervical cancer patients treated with chemoradiotherapy. Int J Radiat Oncol Biol Phys 2011;79:800–807. - PMC - PubMed
    1. Yang Y, Li W, Qian J, Zhang J, Shen Y, Tian Y. Dosimetric predictors of acute hematologic toxicity due to intensity-modulated pelvic radiotherapy with concurrent chemotherapy for pelvic cancer patients. Transl Cancer Res 2018;7:515–523.
    1. Albuquerque K, Giangreco D, Morrison C, et al. Radiation-related predictors of hematologic toxicity after concurrent chemoradiation for cervical cancer and implications for bone marrow–sparing pelvic IMRT Int J Radiat Oncol 2011;79:1043–1047. - PubMed

Publication types

MeSH terms

Substances