| Literature DB >> 33687522 |
V Mohan1,2, N M Bruin1,2, J B van de Kamer1, J-J Sonke1, Wouter V Vogel3,4.
Abstract
Radiation therapy is an effective treatment modality for a variety of cancers. Despite several advances in delivery techniques, its main drawback remains the deposition of dose in normal tissues which can result in toxicity. Common practices of evaluating toxicity, using questionnaires and grading systems, provide little underlying information beyond subjective scores, and this can limit further optimization of treatment strategies. Nuclear medicine imaging techniques can be utilised to directly measure regional baseline function and function loss from internal/external radiation therapy within normal tissues in an in vivo setting with high spatial resolution. This can be correlated with dose delivered by radiotherapy techniques to establish objective dose-effect relationships, and can also be used in the treatment planning step to spare normal tissues more efficiently. Toxicity in radionuclide therapy typically occurs due to undesired off-target uptake in normal tissues. Molecular imaging using diagnostic analogues of therapeutic radionuclides can be used to test various interventional protective strategies that can potentially reduce this normal tissue uptake without compromising tumour uptake. We provide an overview of the existing literature on these applications of nuclear medicine imaging in diverse normal tissue types utilising various tracers, and discuss its future potential.Entities:
Keywords: Molecular imaging; Radionuclide therapy; Radiotherapy; Toxicity
Mesh:
Year: 2021 PMID: 33687522 PMCID: PMC8484246 DOI: 10.1007/s00259-021-05284-5
Source DB: PubMed Journal: Eur J Nucl Med Mol Imaging ISSN: 1619-7070 Impact factor: 10.057
Incidence rates of some toxicities that are discussed
| Tissue type | Primary cancer type | Treatment type | Toxicity type | Incidence | Study |
|---|---|---|---|---|---|
| Brain | Lung, breast, etc. | WBRT and/or SRS | ≥ Grade 3 neurological | 2% | Andrews et al. [ |
| Bone marrow | Cervical | IMRT | ≥ Grade 3 haematological | 27% | Rose et al. [ |
| Neuroendocrine | 177Lu/90Y-DOTA-TATE/TOC RNT | 10% | Bodei et al. [ | ||
| Prostate | 177Lu-PSMA RNT | 12% | Rahbar et al. [ | ||
| Heart | Lung | 3D conformal RT | ≥ Grade 3 cardiac | 11% | Dess et al. [ |
| Kidneys | Neuroendocrine | 177Lu/90Y-DOTA-TATE/TOC RNT | ≥ Grade 1 renal | 35% | Bodei et al. [ |
| Prostate | 177Lu-PSMA RNT | ≤ Grade 2 renal | 12% | Rahbar et al. [ | |
| Liver | Liver | SBRT | ≥ Grade 3 hepatic | 7% | Bujold et al. [ |
| 90Y SIRT | 21% | Strigari et al. [ | |||
| Lungs | Lung | IMRT | ≥ Grade 3 radiation pneumonitis | 4% | Chun et al. [ |
| SBRT | 2% | Chaudhuri et al. [ | |||
| Salivary glands | Head and neck | IMRT | ≥ Grade 2 xerostomia | 15–39% | Marta et al. [ |
| Prostate | 177Lu-PSMA RNT | ≤ Grade 2 xerostomia | 8% | Rahbar et al. [ | |
| 225Ac-PSMA RNT | ≥ Grade 3 xerostomia | 50% | Kratochwil et al. [ | ||
| Thyroid | 131I RNT | ≥ Grade 1 xerostomia | 16–54% | Clement et al. [ |
Fig. 1Longitudinal whole-body [18F]FLT-PET images acquired for a patient who received RT for pelvic cancer. This image was reproduced from McGuire et al. with permission [35]
Fig. 2Planning CT (a) and longitudinal hybrid 99mTc-DMSA SPECT/CT (b) images acquired for a patient who received SBRT for renal cancer. This image was reproduced from Siva et al. with permission [55]
Fig. 3Planning CT (a) and longitudinal 99mTc-sulfur colloid SPECT images, baseline (b) and 1 month post-treatment (c), acquired for a patient who received proton therapy for liver cancer. This image was reproduced from Price et al. with permission [70]
Fig. 4Planning CT (a, b) and 1 year post-therapy 68Ga-PSMA PET image (c), acquired for a patient who received RT for tonsillar carcinoma. This image was reproduced from Valstar et al. with permission [106]
Fig. 568Ga-PSMA PET/CT images acquired for 4 patients with a history of multiple 131I therapy cycles. This image was reproduced from Mohan et al. with permission [109]