Quantitative Non-Gaussian Intravoxel Incoherent Motion Diffusion-Weighted Imaging Metrics and Surgical Pathology for Stratifying Tumor Aggressiveness in Papillary Thyroid Carcinomas

Autor: Ronald Ghossein, Yousef Mazaheri, Yonggang Lu, Mithat Gonen, Ramesh Paudyal, Hilda E. Stambuk, David Aramburu Nunez, Ashok R. Shaha, Andre L. Moreira, R. Michael Tuttle, Amita Shukla-Dave, Jung Hun Oh, Vaios Hatzoglou
Rok vydání: 2019
Předmět:
Adult
Male
medicine.medical_specialty
tumor aggressiveness
diffusion-weighted imaging
Sensitivity and Specificity
multi b-value
Gaussian and non-Gaussian
papillary thyroid carcinoma
030218 nuclear medicine & medical imaging
Papillary thyroid cancer
Surgical pathology
03 medical and health sciences
0302 clinical medicine
Image Interpretation
Computer-Assisted

medicine
Effective diffusion coefficient
Humans
Radiology
Nuclear Medicine and imaging

Prospective Studies
Thyroid Neoplasms
Watchful Waiting
Intravoxel incoherent motion
Research Articles
Aged
Ultrasonography
medicine.diagnostic_test
Receiver operating characteristic
business.industry
Magnetic resonance imaging
Middle Aged
medicine.disease
3. Good health
Diffusion Magnetic Resonance Imaging
ROC Curve
Thyroid Cancer
Papillary

Histopathology
Female
Nuclear medicine
business
030217 neurology & neurosurgery
Diffusion MRI
Zdroj: Tomography
Tomography; Volume 5; Issue 1; Pages: 26-35
Volume 5
Issue 1
Pages 26-35
ISSN: 2379-139X
Popis: We assessed a priori aggressive features using quantitative diffusion-weighted imaging metrics to preclude an active surveillance management approach in patients with papillary thyroid cancer (PTC) with tumor size 1–2 cm. This prospective study enrolled 24 patients with PTC who underwent pretreatment multi-b-value diffusion-weighted imaging on a GE 3 T magnetic resonance imaging scanner. The apparent diffusion coefficient (ADC) metric was calculated from monoexponential model, and the perfusion fraction (f), diffusion coefficient (D), pseudo-diffusion coefficient (D*), and diffusion kurtosis coefficient (K) metrics were estimated using the non-Gaussian intravoxel incoherent motion model. Neck ultrasonography examination data were used to calculate tumor size. The receiver operating characteristic curve assessed the discriminative specificity, sensitivity, and accuracy between PTCs with and without features of tumor aggressiveness. Multivariate logistic regression analysis was performed on metrics using a leave-1-out cross-validation method. Tumor aggressiveness was defined by surgical histopathology. Tumors with aggressive features had significantly lower ADC and D values than tumors without tumor-aggressive features (P <
05). The absolute relative change was 46% in K metric value between the 2 tumor types. In total, 14 patients were in the critical size range (1–2 cm) measured by ultrasonography, and the ADC and D were significantly different and able to differentiate between the 2 tumor types (P <
05). ADC and D can distinguish tumors with aggressive histological features to preclude an active surveillance management approach in patients with PTC with tumors measuring 1–2 cm.
Databáze: OpenAIRE