SPECT/CT for tumour imaging
Fettich Jure, Hodolič Marina
Archive of Oncology · 2012
doi:10.2298/aoo1204121f (opens in a new tab)
We email you when a new notice or a question about this paper appears.
Abstract
Hybrid imaging combining PET and CT is standard technique already for many years. Now it is becoming state of the art nuclear medicine technique also in the field of single photon emission tomography (SPECT) as SPECT/CT. Advantages of hybrid imaging are improved quality of the images using CT data for attenuation correction based on true transmission density data in the individual patient, and CT and SPECT fusion images providing accurate localisation of the tracer uptake. The former is useful in dosimetric calculation in case of tumours treated by radiopharmaceuticals emitting also gamma photons such as 177-Lu. Accurate localisation of increased tracer uptake is important especially in the diagnostic of tumours. This can improve specificity of tumour imaging, for example differentiation between abnormal uptake in the primary tumour and uptake in the metastasis in a lymph node. In this respect hybrid imaging can improve the accuracy of staging and evaluation of treatment follow-up. In several areas single photon emitting radiopharmaceuticals need to be used since there are no useful PET tracers available. This is true in case of neuroendocrine tumours, adrenal tumours, atypical haemangiomas etc., and also in case of benign parathyroid adenomas or osteoid osteomas when radioguided surgery using gamma probe is considered. Lymphoscintigraphy for radioguided sentinel node scintigraphy has become standard in various types of cancers. If exact localisation of the sentinel node can be shown on a fused image this is certainly a big help for the surgeon performing biopsy. The ability of SPECT/CT to improve diagnostic accuracy, especially specificity has great potential in further grow of nuclear medicine techniques in evaluation of tumours.
Abstract licence: CC BY
Reads
Read by people on this page
None yet.
Checked or read by AI through naulon
None yet.
A person counts once a day per paper. We keep no cookie and no address: a reader is a hash that changes every day. Any month under five reads shows no number.
Are you an author?
Is this your paper?
Claim it to add your note and be paid when agents cite it. Free.