Your browser doesn't support javascript.
loading
Intravoxel incoherent motion diffusion-weighted imaging (IVIM-DWI) combined with conventional MRI for the detection of skull-base invasion in nasopharyngeal carcinoma: comparison with 18F-sodium fluoride (18F-NaF) positron emission tomography/computed tomography (PET/CT).
Li, Yuange; Liu, Qin; Wu, Weiquan; Liu, Zelin; Zhang, Yueling; Dou, Yiteng; Bu, Qiujin; Zhang, Shuixing.
Afiliación
  • Li Y; Department of Radiology, The First Affiliated Hospital, Jinan University, Guangzhou, China.
  • Liu Q; Department of Radiology, Affiliated Hospital of Guangdong Medical University, Zhanjiang, China.
  • Wu W; Department of Radiology, The First Affiliated Hospital, Jinan University, Guangzhou, China.
  • Liu Z; Clinical Research Experiment Center, Affiliated Hospital of Guangdong Medical University, Zhanjiang, China.
  • Zhang Y; Faculty of Chinese Medicine, Macau University of Science and Technology, Macau, China.
  • Dou Y; Department of Radiology, Affiliated Hospital of Guangdong Medical University, Zhanjiang, China.
  • Bu Q; Department of Radiology, Affiliated Hospital of Guangdong Medical University, Zhanjiang, China.
  • Zhang S; Department of Radiology, Affiliated Hospital of Guangdong Medical University, Zhanjiang, China.
Quant Imaging Med Surg ; 14(9): 6908-6921, 2024 Sep 01.
Article en En | MEDLINE | ID: mdl-39281160
ABSTRACT

Background:

The extent of skull base invasion (SBI) in nasopharyngeal carcinoma (NPC) directly impacts tumor staging, treatment strategies, and prognosis assessment for NPC patients, emphasizing the critical need for prompt diagnosis and precise assessment of invasion. Thus, we aimed to integrate the advantages of intravoxel incoherent motion diffusion-weighted imaging (IVIM-DWI) and conventional magnetic resonance imaging (cMRI), and assess their combined diagnostic efficacy versus that of 18F-sodium fluoride (18F-NaF) positron emission tomography/computed tomography (PET/CT) for detecting SBI in NPC patients.

Methods:

The study prospectively and randomly recruited 62 patients newly diagnosed with NPC by pathological biopsy at the Cancer Center of Affiliated Hospital of Guangdong Medical University from January 2021 to September 2022. All patients underwent baseline cMRI, IVIM-DWI, and PET/CT scans. The IVIM-DWI analysis included 3 primary parameters true diffusion coefficient (D), pseudodiffusion coefficient (D*), and pseudodiffusion fraction (f). SBI was defined as the involvement of any substructure confirmed by follow-up MRI and clinical symptoms. Inter-observer agreement was evaluated utilizing the intraclass correlation coefficients (ICC) and kappa coefficients. Receiver operating characteristic (ROC) curve was used to evaluate the diagnostic performance of cMRI, IVIM-DWI plus cMRI, and PET/CT. DeLong test was used to compare the areas under the curve (AUC) of the 3 modalities.

Results:

Excellent inter-observer reliability was observed (range, 0.841-0.946). Among the IVIM-DWI parameters, D* + f demonstrated comparable accuracy to D + D* + f (AUC 0.906 vs. 0.904; sensitivity 88.9% vs. 89.8%; specificity 92.3% vs. 91.0%). IVIM-DWI plus cMRI yielded an overall AUC of 0.947, sensitivity of 92.6%, and specificity of 96.8%, surpassing cMRI alone with an AUC of 0.914 (P=0.025), sensitivity of 91.2%, and specificity of 91.7%, as well as 18F-NaF PET/CT with an AUC of 0.852 (P<0.001), sensitivity of 80.1%, and specificity of 90.4%. In detecting substructures of SBI, IVIM-DWI plus cMRI showed superior performance compared to 18F-NaF PET/CT within the petrous part of the temporal bone (AUC 0.968 vs. 0.871, P=0.011; sensitivity 93.5% vs. 87.1%, specificity 100% vs. 87.1%), pterygopalatine fossa (AUC 0.935 vs. 0.831, P=0.032; sensitivity 93.9% vs. 69.7%, specificity 93.1% vs. 96.6%), and foramen ovale (AUC 0.885 vs. 0.710, P=0.019; sensitivity 76.9% vs. 61.5%, specificity 100% vs. 80.6%).

Conclusions:

IVIM-DWI plus cMRI can accurately detect SBI and the substructures in NPC, providing a valuable reference for personalized treatment strategies and precise prognosis assessment.
Palabras clave

Texto completo: 1 Base de datos: MEDLINE Idioma: En Revista: Quant Imaging Med Surg Año: 2024 Tipo del documento: Article

Texto completo: 1 Base de datos: MEDLINE Idioma: En Revista: Quant Imaging Med Surg Año: 2024 Tipo del documento: Article