Imaging of skull base pathologies: Role of advanced magnetic resonance imaging techniques

Mathur, Ankit; Jain, Narendra Kumar; Kesavadas, Chandrasekharan; Kapilamoorthy, T.R.

doi:10.1177/1971400915609341

Cited by 18 publications

(8 citation statements)

References 29 publications

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“…The brain is a complex structure, which may and may not allow water to move freely. 5 The purpose of this pictorial review is to describe the role of diffusion-weighted MR imaging in skull base lesions, which can serve as a substitute to positron emission tomography in evaluating malignant skull base lesion.…”

Section: Introductionmentioning

confidence: 99%

Role of diffusion-weighted imaging in skull base lesions: A pictorial review

et al. 2017

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Skull base lesions can be related to wide number of pathologies including infections, benign and malignant tumors. Accurate diagnosis and differentiation between these entities is important for prompt and appropriate treatment. However, computed tomography and routine magnetic resonance imaging techniques only provide information on the extent of the lesions, with limited ability to differentiate between benign and malignant lesions. Diffusion-weighted imaging can help in many such situations by providing additional information, including help in differentiating benign from malignant lesions, so that appropriate treatment can be initiated. In this review article, we illustrate the imaging findings of the spectrum of skull base lesions, emphasizing the role of diffusion-weighted imaging in this domain.

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Section: Introductionmentioning

confidence: 99%

Role of diffusion-weighted imaging in skull base lesions: A pictorial review

et al. 2017

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“…False negative results may be seen in CSH with hemorrhage within and may cause a diagnostic dilemma, which was not seen in our series. CSH should be entertained in the differential diagnosis of a homogeneously enhancing cavernous sinus lesion that does not show evidence of hemorrhage and shows facilitated diffusion[ 15 - 17 ].…”

Section: Discussionmentioning

confidence: 99%

Clinical-radiological-pathological correlation of cavernous sinus hemangioma: Incremental value of diffusion-weighted imaging

Mahajan

Rao

Anantaram

et al. 2017

WJR

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AIMTo elucidate the clinical, magnetic resonance imaging (MRI), pathological features of these lesions and asses the incremental value of diffusion-weighted imaging (DWI) in diagnosing them.METHODSFifteen consecutive patients (11 females and 4 males; mean age 40.93 years; age range 13-63 years) with cavernous sinus hemangiomas (CSH) who underwent examination between November 2008 and May 2016 were included for the analysis. MRI, clinical and surgical findings of each patient was retrospectively reviewed. DWI were also analysed and mean-apparent diffusion coefficient (ADC) value was calculated. Eleven patients underwent surgical removal of the lesion and 2 patients had biopsy only. Diagnosis of CSH was confirmed histologically in 13 patients.RESULTSEleven patients (73%) presented with headaches and 10 (66%) had cranial nerve involvement. Extra cavernous sinus extension was noted in 14 (94%). Surgery was performed in 13 (87%) and post-operative radiation was given to 4 (28%) patients. Thirteen patients remained asymptomatic on follow up. Three conspicuous imaging features were highly suggestive of the diagnosis: Lack of diffusion restriction (100%), homogeneous hyperintensity on T2 weighted image sequences (93.3%) and intense post-contrast enhancement (100%). The mean ADC was 1.82 × 10-3 ± 0.2186 cm2/s.CONCLUSIONT1-weighted hypointensity with homogeneous hyperintensity on T2-weighted sequences, intense enhancement and absence of hemosiderin within the lesion on GRE sequence favour the diagnosis. Facilitated diffusion on DWI differentiates CSH from other solid cavernous sinus lesions and significantly improves the diagnostic accuracy, a critical factor for planning surgery.

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“…AI algorithms have proven helpful in these aspects by improving anatomical delineation and enriching simulation-based training. 4,11,34 The CNN-based approach has proven to increase neuropathologists' speed and accuracy to make intraoperative tissue diagnoses. 24 This helps the neurosurgeons provide optimal surgical management in total tumor excision and pediatric tumor excision.…”

Section: Summary Of the Contentmentioning

confidence: 99%

Neurosurgical Management of Cerebrospinal Tumors in the Era of Artificial Intelligence : A Scoping Review

Agadi¹,

Dominari²,

Tebha³

et al. 2023

J Korean Neurosurg Soc

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Central nervous system (CNS) tumors are identified as tumors of the brain and spinal cord. The associated morbidity and mortality of cerebrospinal tumors are disproportionately high compared to other malignancies. While minimally invasive techniques have initiated a revolution in neurosurgery, artificial intelligence (AI) is expediting it. Our study aims to analyze AI's role in the neurosurgical management of cerebrospinal tumors. We conducted a scoping review using the Arksey and O'Malley framework. Upon screening, data extraction and analysis were focused on exploring all potential implications of AI, classification of these implications in the management of cerebrospinal tumors. AI has enhanced the precision of diagnosis of these tumors, enables surgeons to excise the tumor margins completely, thereby reducing the risk of recurrence, and helps to make a more accurate prediction of the patient's prognosis than the conventional methods. AI also offers real-time training to neurosurgeons using virtual and 3D simulation, thereby increasing their confidence and skills during procedures. In addition, robotics is integrated into neurosurgery and identified to increase patient outcomes by making surgery less invasive.Artificial intelligence, including machine learning, is rigorously considered for its applications in the neurosurgical management of cerebrospinal tumors. This field requires further research focused on areas clinically essential in improving the outcome that is also economically feasible for clinical use. The authors suggest that data analysts and neurosurgeons collaborate to explore the full potential of AI.

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Imaging of skull base pathologies: Role of advanced magnetic resonance imaging techniques

Cited by 18 publications

References 29 publications

Role of diffusion-weighted imaging in skull base lesions: A pictorial review

Role of diffusion-weighted imaging in skull base lesions: A pictorial review

Clinical-radiological-pathological correlation of cavernous sinus hemangioma: Incremental value of diffusion-weighted imaging

Neurosurgical Management of Cerebrospinal Tumors in the Era of Artificial Intelligence : A Scoping Review

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