| Literature DB >> 28620348 |
Mark P Maskery1,2, Jonathan Hill3, John R Cain4, Hedley C A Emsley1,5.
Abstract
Paraneoplastic neurological syndrome (PNS) describes a spectrum of rare, heterogeneous neurological conditions associated with an underlying malignancy. Diagnosis of PNS is inherently difficult, with frequent misdiagnosis and delay. The literature suggests an underlying immune-mediated pathophysiology, and patients are usually tested for the presence of onconeural antibodies. With direct tumor therapy being the most effective method of stabilizing patients, there is a strong emphasis on detecting underlying tumors. The sensitivity of conventional CT imaging is often inadequate in such patients. While FDG-PET imaging has already been shown to be effective at detecting these tumors, FDG-PET/CT, combining both structural and functional imaging in a single study, is a more recent technique. To study the utility of FDG-PET/CT, we conducted a systematic literature review and a retrospective study. We identified 41 patients who underwent imaging for clinically suspected PNS at the regional PET-CT and neurosciences center based at the Royal Preston Hospital between 2007 and 2014 and compared the results to conventional investigations. Five patients had FDG-PET/CT tracer avidity suspicious of malignant disease, and four of these were subsequently diagnosed with cancer. Sensitivity and specificity were calculated to be 100 and 97.3%, respectively, with positive predictive value 80% and negative predictive value 100%. This compares to a sensitivity and specificity of 50 and 100%, respectively, for CT and 50 and 89%, respectively, for onconeural antibodies. These findings are in line with previous studies and support the diagnostic accuracy of FDG-PET/CT for the detection of underlying malignancy.Entities:
Keywords: FDG PET/CT; imaging techniques; neuroimmunology; neurooncology; paraneoplastic syndromes
Year: 2017 PMID: 28620348 PMCID: PMC5451492 DOI: 10.3389/fneur.2017.00238
Source DB: PubMed Journal: Front Neurol ISSN: 1664-2295 Impact factor: 4.003
Reported outcomes of similar studies.
| Reference | Sample size | Description | Sensitivity (%) | Specificity (%) |
|---|---|---|---|---|
| Younes-Mhenni et al. ( | 20 | Positive onconeural antibodies and previously negative conventional imaging | >83 | 25 |
| Linke et al. ( | 13 | Onconeural antibody-positive patients | 90 | 67 |
| Patel et al. ( | 104 | Clinically diagnosed PNS | 80 | 67 |
| Hadjivassiliou et al. ( | 80 | Clinically diagnosed PNS | 75 | 87–92 |
| Vaidyanathan et al. ( | 68 | Clinically diagnosed PNS | 100 | 82 |
| Schramm et al. ( | 66 | Clinically diagnosed PNS | 100 | 91 |
| Kristensen et al. ( | 67 | Clinically diagnosed PNS | 75 | 88.9 |
Grading system for FDG PET/CT interpretation.
| Category | Grade | FDG uptake interpretation |
|---|---|---|
| Negative exam | I | Normal |
| II | Slight abnormality, presumed physiological | |
| III | Abnormality of uncertain significance | |
| Positive exam | IV | Suspicious abnormality for underlying disease |
| V | Definitive/widespread malignant disease |
Final diagnoses in patients without confirmed paraneoplastic neurological syndrome.
| Patient no. | FDG-PET/CT grade | CT grade (where available) | Onconeural antibody status | Final diagnosis |
|---|---|---|---|---|
| 1 | II | Negative | Sensory neuropathy | |
| 2 | III | I | Negative | Sarcoidosis |
| 4 | I | I | Negative | Sjögrens syndrome |
| 9 | II | Negative | Complex partial seizures | |
| 16 | IV | Negative | Mononeuritis multiplex | |
| 17 | III | I | Negative | Myelopathy |
| 20 | III | II | Negative | Sarcoidosis |
| 22 | I | I | Negative | Cerebellar ataxia |
| 23 | I | Negative | Possible MS | |
| 25 | I | II | Negative | Atypical parkinsonism |
| 28 | III | Negative | Peripheral polyneuropathy | |
| 31 | I | Negative | Myelopathy | |
| 32 | III | Negative | Sjögrens syndrome | |
| 36 | I | Negative | Idiopathic late-onset cerebellar ataxia | |
| 38 | III | Negative | Dry beriberi | |
| 39 | II | Negative | Sensory neuropathy | |
| 41 | III | Positive | Morvan’s syndrome | |
| 43 | I | I | Negative | Inflammatory neuropathy |
| 46 | III | I | Negative | Subacute encephalopathy |
| 49 | I | Negative | Multilevel radiculopathy | |
| 50 | II | I | Negative | Idiopathic sensory polyneuropathy |
Outcomes of patients with a positive FDG-PET/CT result.
| Patient no. | Age at FDG-PET/CT | Gender | Clinical features | Onconeural antibody status | Previous imaging | FDG-PET/CT interpretation (grades I–V) | Evidence of malignancy | Clinical diagnosis |
|---|---|---|---|---|---|---|---|---|
| 5 | 71 | Female | Rapidly progressive neuropathy | Anti-Hu positive | CT negative | IV | Endometrial cancer | Subacute sensory neuronopathy |
| 6 | 72 | Male | Rapidly progressive dementia, right hemiparesis and dysphasia | Negative | CT negative | IV | Thyroid malignancy | Encephalomyelitis |
| 16 | 77 | Female | General muscle wasting, reduced left knee jerk, decreased function in left and intermittent arm swelling | Negative | No previous imaging | IV | Nil | Mononeuritis multiplex |
| 29 | 51 | Male | Poor balance, nystagmus, mild facial palsy, dysphagia | Anti-Hu positive | CT positive | V | Small cell lung cancer (SCLC) | Subacute cerebellar degeneration |
| 52 | 68 | Male | Reduced sensation from the waist down, weakness in the legs | Negative | CT positive | IV | SCLC | Paraneoplastic myelopathy |
.
Three previous studies of the accuracy of FDG-PET/CT for detecting underlying malignancy have shown sensitivity and specificity and these are in line with our findings.
| No. of patients | Sensitivity (%) | Specificity (%) | |
|---|---|---|---|
| Vaidyanathan et al. ( | 68 | 100 | 82 |
| Schramm et al. ( | 66 | 100 | 91 |
| Kristensen et al. ( | 67 | 75 | 88.9 |
| Our findings | 41 | 100 | 97.3 |
Figure 1The outcomes of the three diagnostic techniques evaluated in this study and the detection of malignancy associated with these.