Gummatous Syphilis Mimicking Malignant Bone Tumor on FDG PET/CT

Syphilis Mimicking Malignant Pulmonary Tumor With Nodal and Bone Metastasis on 18 F-FDG PET/CT

ABSTRACT

A 52-year-old man suffering left pleuritic pain underwent a chest CT showing a subpleural pulmonary nodule in the left upper lobe. Because of the possibility of a lung tumor, he was referred for 18 F-FDG PET/CT. The scan revealed FDG uptake in the pulmonary nodule, in an upper right paratracheal lymph node, and at 4 destructive bone lesions. Pathologic examination after pulmonary biopsy manifested only the presence of inflammatory cells. Further clinical history research proved risky sexual behavior with a positive syphilis serology test. A follow-up PET/CT 7 months after penicillin therapy showed a complete metabolic response of all the lesions.

Application of Machine Learning for Differentiating Bone Malignancy on Imaging: A Systematic Review

An accurate diagnosis of bone tumours on imaging is crucial for appropriate and successful treatment. The advent of Artificial intelligence (AI) and machine learning methods to characterize and assess bone tumours on various imaging modalities may assist in the diagnostic workflow. The purpose of this review article is to summarise the most recent evidence for AI techniques using imaging for differentiating benign from malignant lesions, the characterization of various malignant bone lesions, and their potential clinical application. A systematic search through electronic databases (PubMed, MEDLINE, Web of Science, and clinicaltrials.gov) was conducted according to the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) guidelines. A total of 34 articles were retrieved from the databases and the key findings were compiled and summarised. A total of 34 articles reported the use of AI techniques to distinguish between benign vs. malignant bone lesions, of which 12 (35.3%) focused on radiographs, 12 (35.3%) on MRI, 5 (14.7%) on CT and 5 (14.7%) on PET/CT. The overall reported accuracy, sensitivity, and specificity of AI in distinguishing between benign vs. malignant bone lesions ranges from 0.44–0.99, 0.63–1.00, and 0.73–0.96, respectively, with AUCs of 0.73–0.96. In conclusion, the use of AI to discriminate bone lesions on imaging has achieved a relatively good performance in various imaging modalities, with high sensitivity, specificity, and accuracy for distinguishing between benign vs. malignant lesions in several cohort studies. However, further research is necessary to test the clinical performance of these algorithms before they can be facilitated and integrated into routine clinical practice.

Challenges in the Diagnosis of Tertiary Syphilis: Case Report with Literature Review

Tertiary syphilis is a large diagnostic challenge. It is rarely the case that it affects the skin, bone tissue and the eyes at the same time. The presented case shows that extensive symptomatology of syphilis poses a challenge in making a proper diagnosis in patients whose history does not suspect STDs. The study aims to present the case of a young woman hospitalized with a suspected autoimmune disease, diagnosed with symptomatic late syphilis with involvement of the skin, bones and eyes.

FDG PET/CT in a Patient With Syphilis Suspected of Having Penile Cancer

ABSTRACT

A 58-year-old man with large penile wound and enlarged regional lymph node was suspected of having disseminated penile cancer. FDG PET/CT for primary staging showed high FDG uptake on penis and in several enlarged lymph nodes. However, biopsies revealed no signs of malignancy, but ulceration, inflammation, fibrosis, and spirochetes. Furthermore, Wassermann test was positive. The patient was then treated for syphilis. To our knowledge, this is the first report on FDG PET/CT in a patient suspected of having penile cancer that turned out to be syphilis. Thus, syphilis can be added to the list of benign pitfalls in FDG PET/CT.

Differentiation of microinfiltration and simple-edema areas in VX2 bone tumors by diffusion kurtosis imaging in animal experiments: a preliminary study

BACKGROUND

Dual-energy computed tomography, diffusion-weighted imaging (DWI), and dynamic contrast-enhanced magnetic resonance imaging (DCE-MRI) can be used to distinguish microinvasion areas of malignant bone tumors. However, reports of diffusion kurtosis imaging (DKI) to determine the extent of intramedullary infiltration are relatively rare.

PURPOSE

To assess the application value of MR-DKI in differentiating areas of microinfiltration and simple edema in rabbit bone VX2 tumor models.

MATERIAL AND METHODS

Conventional MRI and DKI were performed on 25 successfully constructed rabbit VX2 bone tumor models. We acquired a midline sagittal section of the tumor for hematoxylin and eosin staining. Using pathological findings as the gold standard and combining them with MRI data, strict point-to-point control was performed to delineate regions of interest (ROIs) in the microinfiltration and simple-edema areas of bone tumors for quantitative measurement of mean diffusivity (MD) and mean kurtosis (MK). MD and MK values between microinfiltration and simple-edema areas were compared using an independent sample t-test, and the diagnostic values were evaluated by receiver operating characteristic (ROC) curve analysis.

RESULTS

In comparison with the simple-edema area, the micro-infiltration area demonstrated significantly smaller MD values and larger MK values (P < 0.05), and MD showed a better area under the curve (AUC) than MK (AUC = 0.884 vs. AUC = 0.690) for distinguishing the microinfiltration area from the simple-edema area. The optimal cutoff MD value was 1108.5 mm²/s with a sensitivity of 84% and specificity of 84%.

CONCLUSION

DKI can distinguish the microinfiltration and simple-edema areas of malignant bone tumors in animal experiments.