Nuclear medicine imaging modalities to detect incidentalomas and their impact on patient management: a systematic review
- Open Access
- 01.07.2024
- Review
Abstract
Introduction
Materials and methods
Search strategy
Eligibility criteria
Selection process
Data items
Results
Study selection
Study characteristics
Statistical analysis
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–99mTc-Sestamibi, 2 studies
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99mTc-colloid, 1 study
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I-6-iodomethyl-norcholesterol (131I-NP-59 [NORCHOL-131]; CIS SPECT, 1 study
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18F choline and 11C choline, 40 studies
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18F-Choline & 18F-FDG, 1 study
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68 Ga PSMA, 17 studies
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111 In-pentetreotide Scintigraphy, 3 studies
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67 Ga Scintigraphy, 2 studies
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18F-FDG, 19 studies
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68Ga-DOTATATE, 5 studies
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68Ga-DOTATOC, 1 study
Nuclear imaging modalities | Sum of N of patients | Sum of N incidentaloma(s) | Sum of N of studies |
|---|---|---|---|
111In-Pentetreotide | 3 (0,005%) | 5 (0.81%) | 3 (3.26%) |
131I-NP-59 | 47 (0.07%) | 47 (7.7%) | 1 (1.08%) |
18F-Choline and 11C-Choline | 1757 (2.7%) | 84 (13.74%) | 40 (43.47%) |
18F-Choline & 18F-FDG | 1 (0.001%) | 1 (0.16%) | 1 (1.08%) |
18F-FDG | 62,882 (97%) | 438 (71.7%) | 19 (20.6%) |
67 Ga Scintigraphy | 2 (0.003%) | 2 (0.3%) | 2 (2.2%) |
68 Ga PSMA | 17 (0.026%) | 17 (2.8%) | 17 (18.5%) |
68 Ga-DOTATATE | 26 (0.04%) | 6 (1%) | 5 (5.4%) |
68 Ga-DOTATOC | 38 (0.06%) | 1(0.16%) | 1(1.08%) |
99mTc-Sestamibi | 110 (0.17%) | 9 (1.5%) | 2 (2.2%) |
99mTc-colloid | 1 (0.001%) | 1(0.16%) | 1(1.08%) |
Grand total | 64,884 | 611 | 92 |
Indication for imaging | Sum of N incidentaloma(s) |
|---|---|
Clinical suspicion | 18 (3%) |
Clinical suspicion/ Symptomatic patient | 51(8.3%) |
Cancer screening or Routine follow-up | 76 (12.4%) |
Routine follow-up | 390 (64%) |
Symptomatic | 8 (1.3%) |
Not reported | 37 (6%) |
Others: drug safety clinical trials | 31 (5%) |
Grand total | 611 |
Change in therapeutic strategy? | Sum of N Incidentaloma(s) |
|---|---|
Yes | 358 (59%) |
No | 74 (12%) |
Not reported | 179 (29%) |
Grand total | 611 |
If yes, what? | Sum of N incidentaloma(s) % |
|---|---|
Biopsy | 1(0.28) |
Chemotherapy | 1(0.28) |
Follow-up | 1(0.28) |
Micro biopsy | 1(0.28) |
Radiotherapy | 3 (0.84) |
Radiotherapy and chemotherapy | 1(0.28) |
Surgery | 169 (47) |
Surgery & hormonal therapy | 1(0.28) |
Not reported | 180 (50) |
Grand total | 358 |
Discussion
History of PET
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18F‑fluoro‑2‑deoxy-dglucose (FDG) is the most used radiotracer but not the only one, developing several radiopharmaceuticals highly specific for different tissues and part of the body. It is still most used in detection of breast lesions, pituitary lesions.
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Several case series have reported the role of FDG in the identification of pituitary lesions, mostly macroadenomas (Bertagna et al. 2019). Nevertheless, in case of ACTH or GH microadenoma, aminoacidic PET tracer has shown an undeniable superiority.
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Thyroid incidentalomas detection using this methodic was largely investigated, especially by Hsieh et al. and by King et al. (the last one reported the lowest number of incidentaloma using this radiotracer, probably due to a lower risk of thyroid disease related to the geographical area examined) (King et al. 2007).
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In the study of Kang et al. (2009), instead, were reported 1151 incidentalomas over 12,840 patients. According to all these studies, indeed, almost one third of patients were asymptomatic and have received a completely incidental diagnosis that may have hasten a slower investigation of thyroid malignancies (Bertagna et al. 2019).
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Choline is a lipid, collected into cells membranes and a useful marker in spectroscopy to diagnose brain, prostate, lung, breast, and esophageal tumors. First, 11C choline was the most used; recently, 18 fluorocholine (FCH), has shown similar characteristics as radiotracer and better results due to a longer half-life. Its uptake was observed both in benign pathology, as parathyroid adenoma, frequently found incidentally during prostate cancer follow-up and, also, in slow growth lesions that can be missed with FDG. Interestingly, according to Calabria et al., 18F-choline can detect inflammatory (80/1000 patients), hypermetabolic (7/1000) lesions due to a presumed tracer accumulation into macrophages. (Broos et al. 2022; Bertagna et al. 2019; Hodolic et al. 2014) Hodolic et al., has reported 8 cases, including 2 meningiomas and 3 pituitary adenomas, detected in patients with prostate cancer during routinary follow-up. This tracer can be also useful in low grade tumor and meningiomas diagnosis, due to a lower uptake in normal brain parenchyma. Especially in case of prostate cancer, an incidental diagnosis of brain meningioma can change radically the therapeutic strategy, due to the high risk of tumor development using anti-androgen therapy(Hodolic et al. 2014). This observation has clearly proven the pivotal role of “PAIN” findings.
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11C methionine and 11C acetate are also valuable amino acids used as positron-emitting isotopes for the evaluation of prostate cancer and brain tumors (Rohren et al. 2004).
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Gallium-68 as DOTA-Phe1-Tyr3-Octreotide (68 Ga-DOTATOC, DOTA-TATE, DOTA-NOC PET/TC) has been mostly used for the evaluation of neuroendocrine, renal cells, prostate tumors, or malignant lymphoma, medulloblastoma, neuroblastoma and sarcoma that have a high expression of somatostatin receptor. 67 Gallium, instead, is mostly used for the diagnosis of lymphoma or to identify spinal infection.
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68Ga-DOTATOC has shown a great efficacy detecting SSTR2-positive incidental benign lesions, such as meningiomas, or metastatic lesions, not recognizable using standard imaging modalities. This imaging technique, indeed, may guarantee an early diagnosis for planning Cyber Knife and Gamma Knife radiosurgery. Moreover, it can be useful to detect multiple lesions in cases of neurofibromatosis, harvesting patients’ management (Umana et al. 2022).
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PSMA (prostate-specific membrane specific antigen) is expressed mainly in prostate cancer. However, its expression can be identified in other malignancies such as colon, gastric, thyroid, and renal cancer, breast and in the neovasculature of benign lesions (Dias and Bouchelouche 2018; Patel et al. 2017; Lawhn-Heath et al. 2017; Bilgin et al. 2016).
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