1. The Neck-Persistency-Net: a three-dimensional, convolution, deep neural network aids in distinguishing vital from non-vital persistent cervical lymph nodes in advanced head and neck squamous cell carcinoma after primary concurrent radiochemotherapy.
- Author
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Santer M, Zelger P, Schmutzhard J, Freysinger W, Runge A, Gottfried TM, Tröger A, Vorbach S, Mangesius J, Widmann G, Graf S, Hofauer BG, and Dejaco D
- Subjects
- Humans, Male, Female, Middle Aged, Aged, Fluorodeoxyglucose F18, Radiopharmaceuticals, Neural Networks, Computer, Imaging, Three-Dimensional, Neck Dissection, Retrospective Studies, Tomography, X-Ray Computed methods, Adult, Neck diagnostic imaging, Deep Learning, Sensitivity and Specificity, Chemoradiotherapy methods, Squamous Cell Carcinoma of Head and Neck therapy, Squamous Cell Carcinoma of Head and Neck diagnostic imaging, Squamous Cell Carcinoma of Head and Neck pathology, Positron Emission Tomography Computed Tomography methods, Head and Neck Neoplasms therapy, Head and Neck Neoplasms diagnostic imaging, Head and Neck Neoplasms pathology, Lymph Nodes diagnostic imaging, Lymph Nodes pathology, Lymphatic Metastasis diagnostic imaging
- Abstract
Purpose: To evaluate the diagnostic performance (DP) of the high-resolution contrast computed tomography (HR-contrast-CT) based Neck-Persistency-Net in distinguishing vital from non-vital persistent cervical lymph nodes (pcLNs) in patients with advanced head and neck squamous cell carcinoma (HNSCC) following primary concurrent chemoradiotherapy (CRT) with [18F]-fluorodeoxyglucose positron emission tomography and high-resolution contrast-enhanced computed tomography ([18F]FDG-PET-CT). Furthermore, the Neck-Persistency-Net's potential to justify omitting post-CRT neck dissection (ND) without risking treatment delays or preventing unnecessary surgery was explored., Methods: All HNSCC patients undergoing primary CRT followed by post-CRT-ND for pcLNs recorded in the institutional HNSCC registry were analyzed. The Neck-Persistency-Net DP was explored for three scenarios: balanced performance (BalPerf), optimized sensitivity (OptSens), and optimized specificity (OptSpec). Histopathology of post-CRT-ND served as a reference., Results: Among 68 included patients, 11 were female and 32 had vital pcLNs. The Neck-Persistency-Net demonstrated good DP with an area under the curve of 0.82. For BalPerf, both sensitivity and specificity were 78%; for OptSens (90%), specificity was 62%; for OptSpec (95%), sensitivity was 54%. Limiting post-CRT-ND to negative results would have delayed treatment in 27%, 40%, and 7% for BalPerf, OptSens and OptSpec, respectively, versus 23% for [18F]FDG-PET-CT. Conversely, restricting post-CRT-ND to positive results would have prevented unnecessary post-CRT-ND in 78%, 60%, and 95% for BalPerf, OptSens and OptSpec, respectively, versus 55% for [18F]FDG-PET-CT., Conclusion: The DP of the Neck-Persistency-Net was comparable to [18F]-FDG-PET-CT. Depending on the chosen decision boundary, the potential to justify the omission of post-CRT-ND without risking treatment delays in false negative findings or reliably prevent unnecessary surgery in false positive findings outperforms the [18F]-FDG-PET-CT., (© 2024. The Author(s).)
- Published
- 2024
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