Mimics of perineural tumor spread in the head and neck

Diagnostic Accuracy of Contrast-Enhanced MRI for Detection of Perineural Spread in Head and Neck Cancer: A Systematic Review and Meta-Analysis

Objectives  The aim of this study was to determine the diagnostic accuracy of contrast-enhanced magnetic resonance imaging (CE-MRI) for the detection of perineural spread (PNS) in head and neck cancer patients. Methods  A systematic review of PubMed, Embase, Scopus, Web of Science and Cochrane Library databases was performed up to May 20, 2022. We included diagnostic accuracy studies that used CE-MRI for the diagnosis of PNS in patients with head and neck cancer, using histopathology from surgical specimens as the reference standard. Potential bias and applicability of the included studies was assessed using the Quality Assessment of Diagnostic Accuracy Studies 2 (QUADUS-2) tool. Pooled joint effect sizes of sensitivity and specificity were calculated by applying bivariate random-effects meta-analysis model. Results  Nine studies with 259 patients were included. The pooled sensitivity and specificity of CE-MRI for detecting PNS were 89% (95% confidence interval [CI]: 73-96) and 83% (95% CI: 73-90), respectively. Stratifying by MRI strength, 1.5 T had a higher sensitivity of 97% (95% CI: 47-100) compared with 3 T, which had a sensitivity of 83% (95% CI: 72-90). Both 1.5- and 3-T MRI had a similar specificity in detecting PNS of 85% (95% CI: 63-95) and 84% (95% CI: 75-91), respectively. Conclusions  CE-MRI provides good diagnostic test accuracy for the detection of PNS in head and neck cancer. Current evidence suggests 1.5-T MRI provides greater sensitivity compared with 3-T MRI.

Computed tomography and magnetic resonance imaging findings of intracranial and extracranial meningioma with perineural spread through the foramen rotundum: A case report

We report a case of a 73-year-old woman presenting with intracranial and extracranial meningioma with perineural spread crossing the foramen rotundum and pterygopalatine fossa, primarily along the maxillary nerve. She visited our hospital with the chief complaint of the left cheek swelling. Subsequent magnetic resonance imaging revealed a well-demarcated mass containing intracranial (cavernous sinus, Meckel's cave, and middle cranial fossa) and extracranial components (pterygopalatine fossa, orbit, nasal cavity, ethmoid and sphenoid sinuses, infratemporal fossa, and buccal space) through the foramen rotundum. A biopsy specimen was obtained from the cheek mass, and the histopathological diagnosis was meningothelial meningioma.

Oral cavity cancer and its pre-treatment radiological evaluation: A pictorial overview

PURPOSE

Oral cavity cancer, primarily squamous cell carcinoma (SCC), is a prevalent malignancy globally, necessitating accurate clinical assessment and staging to enable effective treatment planning. Diagnosis requires biopsy and is followed by surgical resection and reconstruction as the primary therapeutic modality. Imaging plays a pivotal role during this process, aiding in the evaluation of tumour extent, nodal involvement and distant metastases. However, despite its value, both radiologists and clinicians must recognise its inherent limitations.

METHODS

This pictorial review article aims to illustrate the application of various imaging modalities in the pre-treatment evaluation of oral cavity SCC and highlights potential pitfalls. It underscores the importance of understanding the anatomical subsites of the oral cavity, the diverse patterns of spread tumours exhibit at each site, alongside the role of imaging in facilitating informed management strategies, while also acknowledging its limitations.

RESULTS

The review delves into fundamentals of current staging including nodal involvement, while, emphasising imaging strategies and potential limitations. Finally, it touches on the potential of novel radiomic techniques in characterising tumours and predicting treatment response.

CONCLUSIONS

Pre-treatment oral cavity cancer staging reflects an ongoing quest for enhanced diagnostic accuracy and prognostic prediction. Recognising the value of imaging alongside its limitations fosters a multidisciplinary approach to treatment planning, ultimately improving patient outcomes.

FDG-PET in HIV-Positive Patient with Extranodal Diffuse Large B-Cell Lymphoma

Extranodal diffuse large B-cell lymphoma (DLBCL) is a heterogeneous disease process and an aggressive form of non-Hodgkin's lymphoma. We present a case of multiorgan involvement of DLBCL in a patient with documented risk factors, including [ 18 F] fluorodeoxyglucose positron emission tomography/magnetic resonance imaging findings highlighting striking perineural spread involving intracranial and extracranial segments of the bilateral trigeminal nerves.

Extra-axial cranial nerve enhancement: a pattern-based approach

Cranial nerve enhancement is a common and challenging MRI finding that requires a meticulous and systematic evaluation to identify the correct diagnosis. Literature mainly describes the various pathologies with the associated clinic-radiological characteristics, while the radiologist often needs a reverse approach that starts from the radiological findings to reach the diagnosis. Therefore, our aim is to provide a new and practical pattern-based approach to cranial nerve enhancement, which starts from the radiological findings and follows pattern-driven pipelines to navigate through multiple differential diagnoses, guiding the radiologist to reach the proper diagnosis. Firstly, we reviewed the literature and identified four patterns to categorize the main pathologies presenting with cranial nerve enhancement: unilateral linear pattern, bilateral linear pattern, unilateral thickened pattern, and bilateral thickened pattern. For each pattern, we describe the underlying pathogenic origin, and the main radiological features are displayed through high-quality MRI images and illustrative panels. A suggested MRI protocol for studying cranial nerve enhancement is also provided. In conclusion, our approach for cranial nerve enhancement aims to be an easy tool immediately applicable to clinical practice for converting challenging findings into specific pathological patterns.

Nerve Density and Neuronal Biomarkers in Cancer

Simple Summary

Researchers have shown that tumor biomarkers and increased nerve density are important clinical tools for determining cancer prognosis and developing effective treatments. The aims of our review were to synthesize these findings by detailing the histology of peripheral nerves, discuss the use of various neuronal biomarkers in cancer, and assess the impact of increased nerve density on tumorigenesis. This review demonstrates that specific neuronal markers may have an important role in tumorigenesis and may serve as diagnostic and prognostic factors for various cancers. Moreover, increased nerve density may be associated with worse prognosis in different cancers, and cancer therapies that decrease nerve density may offer benefit to patients.

Abstract

Certain histologic characteristics of neurons, novel neuronal biomarkers, and nerve density are emerging as important diagnostic and prognostic tools in several cancers. The tumor microenvironment has long been known to promote tumor development via promoting angiogenesis and cellular proliferation, but new evidence has shown that neural proliferation and invasion in the tumor microenvironment may also enable tumor growth. Specific neuronal components in peripheral nerves and their localization in certain tumor sites have been identified and associated with tumor aggressiveness. In addition, dense neural innervation has been shown to promote tumorigenesis. In this review, we will summarize the histological components of a nerve, explore the neuronal biomarkers found in tumor sites, and discuss clinical correlates between tumor neurobiology and patient prognosis.