Indeterminate Lymph Nodes Assessment in Oral Squamous Cell Carcinoma Using CT, MRI, and PET-CT: A Retrospective Study
Jihye Ryu1, Su-Yi Sim1, Jae-Yeol Lee2
1Department of Oral and Maxillofacial Surgery, Pusan National University Dental Hospital, Yangsan 50612, Republic of Korea.
Positron emission tomography-computed tomography (PET-CT) shows higher sensitivity than computed tomography (CT) and magnetic resonance imaging (MRI) for detecting metastatic cervical lymph nodes in oral squamous cell carcinoma (OSCC). SUVmax is a key indicator for malignancy, improving diagnostic accuracy.
Area of Science:
- Oncology
- Radiology
- Diagnostic Imaging
Background:
- Oral squamous cell carcinoma (OSCC) management relies on accurate staging of cervical lymph node metastasis.
- Computed tomography (CT), magnetic resonance imaging (MRI), and positron emission tomography-computed tomography (PET-CT) are used for nodal staging, but their performance varies, especially for indeterminate nodes.
Purpose of the Study:
- To compare the diagnostic performance of CT, MRI, and PET-CT in detecting metastatic cervical lymph nodes in OSCC patients.
- To evaluate the utility of these imaging modalities in identifying radiologically indeterminate lymph nodes.
Main Methods:
- Retrospective analysis of OSCC patients who underwent CT, MRI, and PET-CT prior to surgery.
- Histopathologic confirmation served as the reference standard.
- Diagnostic accuracy, sensitivity, and specificity were calculated for each modality.
Main Results:
- Excluding indeterminate nodes, CT had 83.6% accuracy, 51.9% sensitivity, and 92.4% specificity. MRI and PET-CT had similar accuracies and sensitivities.
- PET-CT showed higher sensitivity (86.8%) for benign nodes but lower specificity (55.8%) compared to CT and MRI.
- SUVmax was a significant predictor of malignancy (OR 1.71, AUC 0.88), with an optimal cutoff of 3.6.
Conclusions:
- PET-CT offers superior sensitivity for detecting benign and indeterminate lymph nodes in OSCC, complementing CT's high specificity.
- SUVmax is a valuable quantitative marker for metastatic involvement.
- A multimodal imaging approach may improve diagnostic accuracy for challenging cases.
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