Pretreatment [18F]FDG PET/CT and MRI in the prognosis of nasopharyngeal carcinoma

Gihbid, Amina; Salhi, Ghofrane Cherkaoui; Alami, Imane El El; Belgadir, Hasna; Tawfiq, N.; Bendahou, Karima; Mzibri, Mohammed El; Cadi, Rachida; Benna, Naima El; Guensi, A.; Khyatti, Meriem

doi:10.1007/s12149-022-01770-4

Cited by 11 publications

(10 citation statements)

References 42 publications

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“…4 ). The prognostic value of MTV has been extensively investigated in various malignancies; patients with higher MTV tend to have a poorer prognosis [ 23 – 25 ]. Similarly, in our study, we also found that MTV was associated with the clinical benefit of immunotherapy in NSCLC patients, and this finding was consistent with previous studies that had similar results [ 26 , 27 ].…”

Section: Discussionmentioning

confidence: 99%

18F-FDG PET/CT for evaluation of metastases in nonsmall cell lung cancer on the efficacy of immunotherapy

Feng¹,

Wang²,

Chen³

et al. 2023

Nuclear Medicine Communications

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Objective This study aimed to investigate the relationship between 18F-fluorodeoxyglucose PET/computed tomography (18F-FDG PET/CT) metabolic parameters and clinical benefit and prognosis in nonsmall cell lung cancer (NSCLC). Methods In total, 34 advanced NSCLC patients who received 18F-FDG PET/CT before immunotherapy were retrospectively included in this study. All patients were divided into two groups, the clinical benefit (CB) group and the no-clinical benefit (no-CB) group, based on the efficacy of evaluation after 6 months of treatment. Also clinical information, characteristics of metastases, survival, PD-L1 expression level and glucose metabolic parameters were evaluated. Results Finally, 24 patients were in the CB group, and 10 patients were in the no-CB group. There was a significant difference between the CB group and the no-CB group in TNM stages (P = 0.005), visceral and bone metastasis (P = 0.031), metabolic tumor volume of primary lesion (MTV-P; P = 0.003), the metabolic tumor volume of whole-body (MTVwb; P = 0.005) and total lesion glycolysis of whole-body (TLGwb, P = 0.015). However, for patient outcomes, the independent prognostic factors associated with progression free survival were TNM stage (HR = 0.113; 95% CI, 0.029–0.439; P = 0.002), TLG-P (HR = 0.085; 95% CI, 0.018–0.402; P = 0.002) and TLG-LN (HR = 0.068; 95% CI, 0.015–0.308; P = 0.000), and the TLG-LN (HR = 0.242; 95% CI, 0.066–0.879; P = 0.002) was the independent prognostic factor associated with overall survival. Conclusions Metastatic lesion burden evaluated by 18F-FDG PET/ CT can predict response to immunotherapy in advanced NSCLC patients, in which lymph node metastasis lesion metabolic burden is a meaningful predictor, but a large multicenter trial is still needed to validate this conclusion.

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Section: Discussionmentioning

confidence: 99%

18F-FDG PET/CT for evaluation of metastases in nonsmall cell lung cancer on the efficacy of immunotherapy

Feng¹,

Wang²,

Chen³

et al. 2023

Nuclear Medicine Communications

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“…Certainly, in this field, head and neck magnetic resonance imaging (HN-MRI) has been regarded as the best modality for assessing local NPC extension. Its influence on the tumor (T) and nodal (N) staging system of NPC is more pronounced than that of CT (32,33). In addition, HN-MRI examinations should be performed regularly after RT for NPC patients.…”

Section: Ct and Mri Representation Of The Nasal Mucosa After Rtmentioning

confidence: 99%

“…Accurate delineation of tumor extent is a key step in determining NPC staging and treatment strategy ( 32 , 33 ). Certainly, in this field, head and neck magnetic resonance imaging (HN-MRI) has been regarded as the best modality for assessing local NPC extension.…”

Section: Endoscopic Manifestation and Nasal Imaging Changes After Rtmentioning

confidence: 99%

Impairment mechanism of nasal mucosa after radiotherapy for nasopharyngeal carcinoma

et al. 2022

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The nasal mucosa, which performs the crucial functions of filtering, humidifying and temperature regulation, is one of the most vulnerable areas of nasopharyngeal carcinoma (NPC) patients after radiotherapy (RT). Following RT, NPC patients experience a series of pathological changes in the nasal mucosa, ultimately leading to physiological dysfunction of the nasal epithelium. This article systematically reviews the clinical and pathological manifestations of RT-related nasal damage in NPC patients and summarizes the potential mechanism of damage to the human nasal epithelium by RT. Finally, we outline the current mechanistic models of nasal epithelial alterations after RT in NPC patients and provide additional information to extend the in-depth study on the impairment mechanisms of the nasal mucosa resulting from RT. We also describe the relationship between structural and functional alterations in the nasal mucosa after RT to help mitigate and treat this damage and provide insights informing future clinical and fundamental investigations.

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“…However, despite the fact that patients with the same TNM stage receive the same treatment, large variations in prognosis exists due to the heterogeneous nature of tumor microenvironment [ 10 ]. Image-derived biomarkers, such as the standardized uptake value (SUV) and metabolic tumor volume (MTV) derived from [ 18 F]-fluorodeoxyglucose ([ 18 F]FDG) positron emission tomography/computed tomography (PET/CT), can provide promising prognostic information for NPC [ 11 , 12 ]. Nevertheless, these factors are limited in clinical practice as they are arduous to represent intra-tumor information such as tumor texture, intensity, heterogeneity, and morphology.…”

Section: Introductionmentioning

confidence: 99%

Multi-task deep learning-based radiomic nomogram for prognostic prediction in locoregionally advanced nasopharyngeal carcinoma

Gu,

Meng,

et al. 2023

Eur J Nucl Med Mol Imaging

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Purpose Prognostic prediction is crucial to guide individual treatment for locoregionally advanced nasopharyngeal carcinoma (LA-NPC) patients. Recently, multi-task deep learning was explored for joint prognostic prediction and tumor segmentation in various cancers, resulting in promising performance. This study aims to evaluate the clinical value of multi-task deep learning for prognostic prediction in LA-NPC patients. Methods A total of 886 LA-NPC patients acquired from two medical centers were enrolled including clinical data, [18F]FDG PET/CT images, and follow-up of progression-free survival (PFS). We adopted a deep multi-task survival model (DeepMTS) to jointly perform prognostic prediction (DeepMTS-Score) and tumor segmentation from FDG-PET/CT images. The DeepMTS-derived segmentation masks were leveraged to extract handcrafted radiomics features, which were also used for prognostic prediction (AutoRadio-Score). Finally, we developed a multi-task deep learning-based radiomic (MTDLR) nomogram by integrating DeepMTS-Score, AutoRadio-Score, and clinical data. Harrell's concordance indices (C-index) and time-independent receiver operating characteristic (ROC) analysis were used to evaluate the discriminative ability of the proposed MTDLR nomogram. For patient stratification, the PFS rates of high- and low-risk patients were calculated using Kaplan–Meier method and compared with the observed PFS probability. Results Our MTDLR nomogram achieved C-index of 0.818 (95% confidence interval (CI): 0.785–0.851), 0.752 (95% CI: 0.638–0.865), and 0.717 (95% CI: 0.641–0.793) and area under curve (AUC) of 0.859 (95% CI: 0.822–0.895), 0.769 (95% CI: 0.642–0.896), and 0.730 (95% CI: 0.634–0.826) in the training, internal validation, and external validation cohorts, which showed a statistically significant improvement over conventional radiomic nomograms. Our nomogram also divided patients into significantly different high- and low-risk groups. Conclusion Our study demonstrated that MTDLR nomogram can perform reliable and accurate prognostic prediction in LA-NPC patients, and also enabled better patient stratification, which could facilitate personalized treatment planning.

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Pretreatment [18F]FDG PET/CT and MRI in the prognosis of nasopharyngeal carcinoma

Cited by 11 publications

References 42 publications

18F-FDG PET/CT for evaluation of metastases in nonsmall cell lung cancer on the efficacy of immunotherapy

18F-FDG PET/CT for evaluation of metastases in nonsmall cell lung cancer on the efficacy of immunotherapy

Impairment mechanism of nasal mucosa after radiotherapy for nasopharyngeal carcinoma

Multi-task deep learning-based radiomic nomogram for prognostic prediction in locoregionally advanced nasopharyngeal carcinoma

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