Diagnostic performance of <sup>18</sup>fluorodesoxyglucose positron emission/computed tomography and magnetic resonance imaging in detecting T1‐T2 head and neck squamous cell carcinoma

Chaput, A; Robin, Philippe; Podeur, Fabien; Ollivier, Morgan; Keromnes, Nathalie; Tissot, V.; Nonent, Michel; Salaün, Pierre-Yves; Rousset, J.; Abgral, Ronan

doi:10.1002/lary.26729

Cited by 13 publications

(3 citation statements)

References 49 publications

(110 reference statements)

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“…Despite this, recent studies have observed certain scenarios wherein [ 18 F]FDG PET/CT can be more powerful in terms of accuracy than neck MRI. A study of 35 patients by Chaput et al showed that [ 18 F]FDG PET/CT had greater diagnostic accuracy, with a sensitivity of 83%, compared to MRI, which was only 63% sensitive for detecting head-and-neck cancers in patients in the T1-T2 category [15]. This suggests that [ 18 F]FDG PET/CT is more effective in lower-stage disease.…”

Section: Discussionmentioning

confidence: 99%

The Prognostic and Diagnostic Value of [18F]FDG PET/CT in Untreated Laryngeal Carcinoma

Al‐Ibraheem

Abdlkadir

Al-Adhami

et al. 2023

JCM

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This study aims to determine the diagnostic accuracy of staging PET/CT and neck MRI in patients with laryngeal carcinoma and to assess the value of PET/CT in predicting progression-free survival (PFS) and overall survival (OS). Sixty-eight patients who had both modalities performed before treatment between 2014 and 2021 were included in this study. The sensitivity and specificity of PET/CT and MRI were evaluated. PET/CT had 93.8% sensitivity, 58.3% specificity, and 75% accuracy for nodal metastasis, whereas MRI had 68.8%, 61.1%, and 64.7% accuracy, respectively. At a median follow-up of 51 months, 23 patients had developed disease progression and 17 patients had died. Univariate-survival analysis revealed all utilized PET parameters as significant prognostic factors for OS and PFS (p-value < 0.03 each). In multivariate analysis, metabolic-tumor volume (MTV) and total lesion glycolysis (TLG) predicted better PFS (p-value < 0.05 each). In conclusion, PET/CT improves the accuracy of nodal staging in laryngeal carcinoma over neck MRI and adds to the prognostication of survival outcomes through the use of several PET metrics.

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Section: Discussionmentioning

confidence: 99%

The Prognostic and Diagnostic Value of [18F]FDG PET/CT in Untreated Laryngeal Carcinoma

Al‐Ibraheem

Abdlkadir

Al-Adhami

et al. 2023

JCM

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“…Because the CNNs were trained on multiparametric data, some errors—especially on the GTV edges—are present in the ground-truth labels, leading to worse segmentation results than in rigid body areas. In addition, the interobserver variability of head and neck cancer is already much higher than, for example, that of the brain tumors (49, 50). Despite the intrinsic limitation on image quality, the trained network yielded good tumor segmentations, and it was shown that distortion correction of ADC data does not significantly improve segmentation performance.…”

Section: Discussionmentioning

confidence: 99%

Automatic Tumor Segmentation With a Convolutional Neural Network in Multiparametric MRI: Influence of Distortion Correction

et al. 2019

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Precise tumor segmentation is a crucial task in radiation therapy planning. Convolutional neural networks (CNNs) are among the highest scoring automatic approaches for tumor segmentation. We investigate the difference in segmentation performance of geometrically distorted and corrected diffusion-weighted data using data of patients with head and neck tumors; 18 patients with head and neck tumors underwent multiparametric magnetic resonance imaging, including T2w, T1w, T2*, perfusion (ktrans), and apparent diffusion coefficient (ADC) measurements. Owing to strong geometrical distortions in diffusion-weighted echo planar imaging in the head and neck region, ADC data were additionally distortion corrected. To investigate the influence of geometrical correction, first 14 CNNs were trained on data with geometrically corrected ADC and another 14 CNNs were trained using data without the correction on different samples of 13 patients for training and 4 patients for validation each. The different sets were each trained from scratch using randomly initialized weights, but the training data distributions were pairwise equal for corrected and uncorrected data. Segmentation performance was evaluated on the remaining 1 test-patient for each of the 14 sets. The CNN segmentation performance scored an average Dice coefficient of 0.40 ± 0.18 for data including distortion-corrected ADC and 0.37 ± 0.21 for uncorrected data. Paired t test revealed that the performance was not significantly different (P = .313). Thus, geometrical distortion on diffusion-weighted imaging data in patients with head and neck tumor does not significantly impair CNN segmentation performance in use.

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“…A recent study of 35 patients by Chaput et al showed greater diagnostic accuracy with higher sensitivity of FDG PET/CT (83%) compared to MRI (63%) for detection of T1-T2 category head and neck SCCa, suggesting efficacy of FDG PET/CT in lower stage disease. 10 When PET is performed with a contrast enhanced CT, diagnostic CT images can be obtained from a single examination and may obviate the need for additional imaging for staging (CT or MR). 11 Of note, at our institution, all PET/CT exams are performed with iodinated IV contrast unless there are medical contraindications for the patient (contrast allergy or renal insufficiency).…”

Section: Primary Tumormentioning

confidence: 99%

PET/MRI vs PET/CT in Head and Neck Imaging: When, Why, and How?

Ryan

Aaron

Sims

2019

Seminars in Ultrasound, CT and MRI

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The increasing availability of hybrid PET/MRI systems has led to a breadth of new publications and opportunities for use of PET/MRI. While PET/CT has been a valuable tool for oncologic staging, including head and neck malignancy, there are several theoretical and practical advantages a PET/MRI system would have over PET/CT in head and neck imaging. This review article discusses the established role of PET/CT, early evidence for the role of PET/MRI, and protocol considerations for both PET/CT and PET/MRI as they apply to head and neck imaging.

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Diagnostic performance of ¹⁸fluorodesoxyglucose positron emission/computed tomography and magnetic resonance imaging in detecting T1‐T2 head and neck squamous cell carcinoma

Abstract: 4. Laryngoscope, 128:378-385, 2018.

Cited by 13 publications

References 49 publications

The Prognostic and Diagnostic Value of [18F]FDG PET/CT in Untreated Laryngeal Carcinoma

The Prognostic and Diagnostic Value of [18F]FDG PET/CT in Untreated Laryngeal Carcinoma

Automatic Tumor Segmentation With a Convolutional Neural Network in Multiparametric MRI: Influence of Distortion Correction

PET/MRI vs PET/CT in Head and Neck Imaging: When, Why, and How?

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Diagnostic performance of 18fluorodesoxyglucose positron emission/computed tomography and magnetic resonance imaging in detecting T1‐T2 head and neck squamous cell carcinoma

Abstract: 4. Laryngoscope, 128:378-385, 2018.

Cited by 13 publications

References 49 publications

The Prognostic and Diagnostic Value of [18F]FDG PET/CT in Untreated Laryngeal Carcinoma

The Prognostic and Diagnostic Value of [18F]FDG PET/CT in Untreated Laryngeal Carcinoma

Automatic Tumor Segmentation With a Convolutional Neural Network in Multiparametric MRI: Influence of Distortion Correction

PET/MRI vs PET/CT in Head and Neck Imaging: When, Why, and How?

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Diagnostic performance of ¹⁸fluorodesoxyglucose positron emission/computed tomography and magnetic resonance imaging in detecting T1‐T2 head and neck squamous cell carcinoma