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Background: Despite advances in treatment, residual or recurrent tumors after definitive (chemo) radiotherapy for laryngeal and hypopharyngeal squamous cell carcinoma (SCC) remain a challenge in clinical management and require accurate and timely detection for optimal salvage therapy. This study aimed to compare the diagnostic value of Fluorine 18 ( 18 F) fluorodeoxyglucose (FDG) positron emission tomography (PET)/computed tomography (CT) and diffusion-weighted magnetic resonance imaging (DW-MRI) in detecting residual or recurrent tumors after definitive (chemo) radiotherapy for laryngeal and hypopharyngeal SCC., Methods: A prospective study was conducted on 30 patients who presented with new symptoms after definitive (chemo) radiotherapy for laryngeal (n = 21) and hypopharyngeal (n = 9) carcinoma. Both 18 F-FDG PET/CT and DW-MRI were performed and histopathologic analysis served as the standard of reference., Results: Histopathology showed 20 patients as positive and 10 as negative for tumors. 18 F-FDG PET/CT detected all tumors correctly but was falsely positive in one case. DW-MRI detected tumors in 18 out of 20 positive patients and correctly excluded tumors in all negative patients. The sensitivity and specificity of 18 F-FDG PET/CT were 100% and 90%, respectively, while the values for DW-MRI were 90% and 100%, respectively., Conclusions: The study concludes that 18 F-FDG PET/CT is slightly superior to DW-MRI in detecting residual or recurrent tumors after definitive (chemo) radiotherapy for laryngeal and hypopharyngeal SCC. The combined use of 18 F-FDG PET/CT and DW-MRI can potentially improve specificity in therapy response evaluation., (© 2024 The Authors. Head & Neck published by Wiley Periodicals LLC.)

Purpose: Laryngeal and Hypopharyngeal Carcinomas (LC/HPC) constitute about 24 % of head and neck cancers, causing more than 90,000 annual deaths worldwide. Diffusion-Weighted Imaging (DWI), is currently widely studied in oncologic imaging and can aid in distinguishing cellular tumors from other tissues. Our objective was to review the effectiveness of DWI in three areas: diagnosing, predicting prognosis, and predicting treatment response in patients with LC/HPC., Methods: A systematic search was conducted in PubMed, Web of Science, and Embase. A meta-analysis by calculating Standardized Mean Difference (SMD) and 95 % Confidence Interval (CI) was conducted on diagnostic studies., Results: A total of 16 studies were included. All diagnostic studies (n = 9) were able to differentiate between the LC/HPC and other benign laryngeal/hypopharyngeal lesions. These studies found that LC/HPC had lower Apparent Diffusion Coefficient (ADC) values than non-cancerous lesions. Our meta-analysis of 7 diagnostic studies, that provided ADC values of malignant and non-malignant tissues, demonstrated significantly lower ADC values in LC/HPC compared to non-malignant lesions (SMD = -1.71, 95 %CI: [-2.00, -1.42], ADC cut-off = 1.2 × 10 3  mm 2 /s). Furthermore, among the studies predicting prognosis, 67 % (4/6) accurately predicted outcomes based on pretreatment ADC values. Similarly, among studies predicting treatment response, 50 % (2/4) successfully predicted outcomes based on pretreatment ADC values. Overall, the studies that looked at prognosis or treatment response in LC/HPC found a positive correlation between pretreatment ADC values in larynx/hypopharynx and favorable outcomes., Conclusion: DWI aids significantly in the LC/HPC diagnosis. However, further research is needed to establish DWI's reliability in predicting prognosis and treatment response in patients with LC/HPC., Competing Interests: Declaration of competing interest The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper., (Copyright © 2024 The Author(s). Published by Elsevier B.V. All rights reserved.)

Objectives: To develop and assess a radiomics-based prediction model for distinguishing T2/T3 staging of laryngeal and hypopharyngeal squamous cell carcinoma (LHSCC) METHODS: A total of 118 patients with pathologically proven LHSCC were enrolled in this retrospective study. We performed feature processing based on 851 radiomic features derived from contrast-enhanced CT images and established multiple radiomic models by combining three feature selection methods and seven machine learning classifiers. The area under the receiver operating characteristic curve (AUC), accuracy, sensitivity, and specificity were used to assess the performance of the models. The radiomic signature obtained from the optimal model and statistically significant morphological image characteristics were incorporated into the predictive nomogram. The performance of the nomogram was assessed by calibration curve and decision curve analysis., Results: Using analysis of variance (ANOVA) feature selection and logistic regression (LR) classifier produced the best model. The AUCs of the training, validation, and test sets were 0.919, 0.857, and 0.817, respectively. A nomogram based on the model integrating the radiomic signature and a morphological imaging characteristic (suspicious thyroid cartilage invasion) exhibited C-indexes of 0.899 (95% confidence interval (CI) 0.843-0.955), fitting well in calibration curves (p > 0.05). Decision curve analysis further confirmed the clinical usefulness of the nomogram., Conclusions: The nomogram based on the radiomics model derived from contrast-enhanced CT images had good diagnostic performance for distinguishing T2/T3 staging of LHSCC., Clinical Relevance Statement: Accurate T2/T3 staging assessment of LHSCC aids in determining whether laryngectomy or laryngeal preservation therapy should be performed. The nomogram based on the radiomics model derived from contrast-enhanced CT images has the potential to predict the T2/T3 staging of LHSCC, which can provide a non-invasive and robust approach for guiding the optimization of clinical decision-making., Key Points: • Combining analysis of variance with logistic regression yielded the optimal radiomic model. • A nomogram based on the CT-radiomic signature has good performance for differentiating T2 from T3 staging of laryngeal and hypopharyngeal squamous cell carcinoma. • It provides a non-invasive and robust approach for guiding the optimization of clinical decision-making., (© 2024. The Author(s), under exclusive licence to European Society of Radiology.)

The objective was to assess the diagnostic efficacy of Doppler ultrasound in detecting cervical lymph nodes in patients diagnosed with laryngeal and hypopharyngeal cancers. Patients undergoing surgery for laryngeal and hypopharyngeal cancers in the Otolaryngology Department from January 2021 to January 2023 were included. Two groups, with equal numbers, underwent ultrasound examination and intensive CT examination in the experimental and control groups, respectively, along with routine cervical lymph node dissection. A resident with over 6 years of clinical experience in the otolaryngology department performed routine bilateral cervical lymph node palpation. Sensitivity, specificity, and validity were compared among different examination methods. The McNemar test assessed specificity and sensitivity between palpation, color Doppler ultrasonography, and enhanced CT, while the Kappa concordance test evaluated the concordance between the 2 examination methods. Data were statistically analyzed using SPSS 23.0. Palpation showed a diagnostic sensitivity (DS) of 52.83% and specificity of 91.11% for all patients with cervical lymph node metastasis. Ultrasonography demonstrated a DS of 77.78% and specificity of 81.82% in patients with cervical lymph node metastasis, while intensive CT had a DS of 75.86% and specificity of 60.00%. Statistical significance (P < .05) was observed in the sensitivity between palpation and ultrasonography, and between palpation and enhanced CT. The specificity between enhanced CT and ultrasonography (P = .021) and between palpation and enhanced CT scan (P = .003) both showed statistical significance (P < .05). Doppler ultrasound yields diagnostic results highly consistent with pathological diagnoses in patients with laryngeal and hypopharyngeal cancers. Utilizing Doppler ultrasound can enhance the accuracy of diagnosing these cancers, aiding physicians in devising more suitable treatment plans for patients., Competing Interests: The authors have no funding and conflicts of interest to disclose., (Copyright © 2024 the Author(s). Published by Wolters Kluwer Health, Inc.)

Imaging of the larynx and hypopharynx is frequently requested to assess the extent of neoplasms beyond the field of view of endoscopic evaluation. The combination of optical and cross-sectional imaging allows tumors to be classified according to AJCC/UICC guidelines. A thorough understanding of laryngeal and hypopharyngeal anatomy is crucial to guide the radiological eye along the possible pathways of the spread of diseases and to guide differential diagnoses. Computed tomography (CT) has been the first cross-sectional imaging technique used to evaluate the larynx and hypopharynx; its spatial resolution combined with volumetric capability and the use of injectable contrast medium made CT the working horse in the assessment of neoplastic and inflammatory diseases. In the last two decades, magnetic resonance (MR) supported CT in the most challenging cases, when the optimal contrast resolution due to the multisequence portfolio is needed to assess the neoplastic involvement of laryngeal cartilages, paraglottic space(s), and extra laryngeal spread. The aim of this paper is to give a comprehensive radiological overview of larynx and hypopharynx complex anatomy, combining in vivo images, anatomical sections, and images of ex vivo specimens., (© 2024. The Author(s), under exclusive licence to Springer-Verlag GmbH Germany, part of Springer Nature.)

Objective: This study aims to determine the added value of a geometrically accurate diffusion-weighted (DW-) MRI sequence on the accuracy of gross tumor volume (GTV) delineations, using pathological tumor delineations as a ground truth., Methods: Sixteen patients with laryngeal or hypopharyngeal carcinoma were included. After total laryngectomy, the specimen was cut into slices. Photographs of these slices were stacked to create a 3D digital specimen reconstruction, which was registered to the in vivo imaging. The pathological tumor (tumor HE ) was delineated on the specimen reconstruction. Six observers delineated all tumors twice: once with only anatomical MR imaging, and once (a few weeks later) when DW sequences were also provided. The majority voting delineation of session one (GTV MRI ) and session two (GTV DW-MRI ), as well as the clinical target volumes (CTVs), were compared to the tumor HE ., Results: The mean tumor HE volume was 11.1 cm 3 , compared to a mean GTV MRI volume of 18.5 cm 3 and a mean GTV DW-MRI volume of 15.7 cm 3 . The median sensitivity (tumor coverage) was comparable between sessions: 0.93 (range: 0.61-0.99) for the GTV MRI and 0.91 (range: 0.53-1.00) for the GTV DW-MRI . The CTV volume also decreased when DWI was available, with a mean CTV MR of 47.1 cm 3 and a mean CTV DW-MRI of 41.4 cm 3 . Complete tumor coverage was achieved in 15 and 14 tumors, respectively., Conclusion: GTV delineations based on anatomical MR imaging tend to overestimate the tumor volume. The availability of the geometrically accurate DW sequence reduces the GTV overestimation and thereby CTV volumes, while maintaining acceptable tumor coverage., Competing Interests: Declaration of competing interest The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper., (Copyright © 2024 The Author(s). Published by Elsevier B.V. All rights reserved.)

Purpose: By radiomic analysis of the postcontrast CT images, this study aimed to predict locoregional recurrence (LR) of locally advanced oropharyngeal cancer (OPC) and hypopharyngeal cancer (HPC)., Methods: A total of 192 patients with stage III-IV OPC or HPC from two independent cohort were randomly split into a training cohort with 153 cases and a testing cohort with 39 cases. Only primary tumor mass was manually segmented. Radiomic features were extracted using PyRadiomics, and then the support vector machine was used to build the radiomic model with fivefold cross-validation process in the training data set. For each case, a radiomics score was generated to indicate the probability of LR., Results: There were 94 patients with LR assigned in the progression group and 98 patients without LR assigned in the stable group. There was no significant difference of TNM staging, treatment strategies and common risk factors between these two groups. For the training data set, the radiomics model to predict LR showed 83.7% accuracy and 0.832 (95% CI 0.72, 0.87) area under the ROC curve (AUC). For the test data set, the accuracy and AUC slightly declined to 79.5% and 0.770 (95% CI 0.64, 0.80), respectively. The sensitivity/specificity of training and test data set for LR prediction were 77.6%/89.6%, and 66.7%/90.5%, respectively., Conclusions: The image-based radiomic approach could provide a reliable LR prediction model in locally advanced OPC and HPC. Early identification of those prone to post-treatment recurrence would be helpful for appropriate adjustments to treatment strategies and post-treatment surveillance., (© 2023. The Author(s), under exclusive licence to Springer-Verlag GmbH Germany, part of Springer Nature.)

Background and Purpose: We aimed to investigate the prognostic value of peritumoral and intratumoral computed tomography (CT)-based radiomics during the course of radiotherapy (RT) in patients with laryngeal and hypopharyngeal cancer (LHC)., Materials and Methods: A total of 92 eligible patients were 1:1 randomly assigned into training and validation cohorts. Pre-RT and mid-RT radiomic features were extracted from pre-treatment and interim CT. LASSO-Cox regression was used for feature selection and model construction. Time-dependent area under the receiver operating curve (AUC) analysis was applied to evaluate the models' prognostic performances. Risk stratification ability on overall survival (OS) and progression-free survival (PFS) were assessed using the Kaplan-Meier method and Cox regression. The associations between radiomics and clinical parameters as well as circulating lymphocyte counts were also evaluated., Results: The mid-RT peritumoral (AUC: 0.77) and intratumoral (AUC: 0.79) radiomic models yielded better performance for predicting OS than the pre-RT intratumoral model (AUC: 0.62) in validation cohort. This was confirmed by Kaplan-Meier analysis, in which risk stratification depended on the mid-RT peritumoral (p = 0.009) and intratumoral (p = 0.003) radiomics could be improved for OS, in comparison to the pre-RT intratumoral radiomics (p = 0.199). Multivariate analysis identified mid-RT peritumoral and intratumoral radiomic models as independent prognostic factors for both OS and PFS. Mid-RT peritumoral and intratumoral radiomics were correlated with treatment-related lymphopenia., Conclusion: Mid-RT peritumoral and intratumoral radiomic models are promising image biomarkers that could have clinical utility for predicting OS and PFS in patients with LHC treated with RT., Competing Interests: Declaration of Competing Interest The authors declare the following financial interests/personal relationships which may be considered as potential competing interests: Chien-Yu Lin reports that this study was supported by grants from Chang Gung Memorial Hospital, Taiwan [grant numbers CIRPG3I0011-3, CMRPG3M0681-2, CORPG3N0081]., (Copyright © 2023 Elsevier B.V. All rights reserved.)

Objective: To analyze the incidence and the related risk factors of retropharyngeal lymph node metastasis in patients with hypopharyngeal squamous cell carcinoma, evaluate the accuracy of preoperative enhanced CT in judging retropharyngeal lymph node metastasis, and investigate the impact of retropharyngeal lymph node metastasis on the prognosis. Methods: Retrospective analyses were made on 398 patients with hypopharyngeal squamous cell carcinoma who underwent surgery as the primary therapy and accepted retropharyngeal lymph node exploration and clearance during surgery in Shandong Provincial ENT Hospital from January 2014 to December 2019. Multivariate logistic regression analysis was used to clarify the related risk factors of retropharyngeal lymph node metastasis. Multivariate Cox regression analysis was used to investigate the impact of retropharyngeal lymph node metastasis on prognosis. The retropharyngeal lymph nodes of 218 cases with available preoperative enhanced CT images were evaluated by two experienced radiologists and compared with postoperative pathological results. Results: Retropharyngeal lymph node metastasis were confirmed in 54 of 398 (13.6%) cases according to postoperative pathology. The sensitivity and specificity of preoperative enhanced CT in the diagnosis of retropharyngeal lymph node metastasis were 34.6% and 91.1%, respectively, and the overall accuracy was 84.4%. Multivariate logistic regression analysis showed that the site of the primary lesion and pathological N stage were independent risk factors for retropharyngeal lymph node metastasis in hypopharyngeal squamous cell carcinoma. Patients with primary lesion located in the posterior wall of hypopharynx ( OR =4.83, 95% CI: 1.27-18.40), N2 stage ( OR =6.30, 95% CI: 2.25-17.67), and N3 stage ( OR =26.89, 95% CI: 5.76-125.58) were prone to retropharyngeal lymph node metastasis. The 5-year overall survival rate of the 398 patients was 50.4%, and the 5-year disease-free survival rate was 48.3%. Multivariate Cox regression analysis showed that T stage, N stage, retropharyngeal lymph node metastasis, and radiotherapy were independent influencing factors for overall survival (T stage: HR =1.28, 95% CI: 1.06-1.54; N stage: HR =1.26, 95% CI: 1.14-1.40; retropharyngeal lymph node metastasis: HR =2.13, 95% CI: 1.47-3.08; radiotherapy: HR =0.54, 95% CI: 0.38-0.76) and disease-free survival of patients with hypopharyngeal squamous cell carcinoma (T stage: HR =1.26, 95% CI: 1.06-1.51; N stage: HR =1.25, 95% CI: 1.13-1.37; retropharyngeal lymph node metastasis: HR =2.24, 95% CI: 1.56-3.21; radiotherapy: HR =0.55, 95% CI: 0.40-0.77). Conclusions: Metastasis of retropharyngeal lymph nodes in hypopharyngeal squamous cell carcinoma is not rare. Enhanced CT is of low accuracy and limited value in diagnosing retropharyngeal lymph node metastasis. Primary lesions located in the posterior wall of the hypopharyngx, N2 stage, and N3 stage are independent high-risk factors for retropharyngeal lymph node metastasis. The prognosis of hypopharyngeal cancer patients with retropharyngeal lymph node metastasis is worse, and active surgical exploration and clearance can effectively reduce the mortality caused by retropharyngeal lymph node metastasis.

Objectives: To use convolutional neural network for fully automated segmentation and radiomics features extraction of hypopharyngeal cancer (HPC) tumor in MRI., Methods: MR images were collected from 222 HPC patients, among them 178 patients were used for training, and another 44 patients were recruited for testing. U-Net and DeepLab V3 + architectures were used for training the models. The model performance was evaluated using the dice similarity coefficient (DSC), Jaccard index, and average surface distance. The reliability of radiomics parameters of the tumor extracted by the models was assessed using intraclass correlation coefficient (ICC)., Results: The predicted tumor volumes by DeepLab V3 + model and U-Net model were highly correlated with those delineated manually (p < 0.001). The DSC of DeepLab V3 + model was significantly higher than that of U-Net model (0.77 vs 0.75, p < 0.05), particularly in those small tumor volumes of < 10 cm 3 (0.74 vs 0.70, p < 0.001). For radiomics extraction of the first-order features, both models exhibited high agreement (ICC: 0.71-0.91) with manual delineation. The radiomics extracted by DeepLab V3 + model had significantly higher ICCs than those extracted by U-Net model for 7 of 19 first-order features and for 8 of 17 shape-based features (p < 0.05)., Conclusion: Both DeepLab V3 + and U-Net models produced reasonable results in automated segmentation and radiomic features extraction of HPC on MR images, whereas DeepLab V3 + had a better performance than U-Net., Clinical Relevance Statement: The deep learning model, DeepLab V3 + , exhibited promising performance in automated tumor segmentation and radiomics extraction for hypopharyngeal cancer on MRI. This approach holds great potential for enhancing the radiotherapy workflow and facilitating prediction of treatment outcomes., Key Points: • DeepLab V3 + and U-Net models produced reasonable results in automated segmentation and radiomic features extraction of HPC on MR images. • DeepLab V3 + model was more accurate than U-Net in automated segmentation, especially on small tumors. • DeepLab V3 + exhibited higher agreement for about half of the first-order and shape-based radiomics features than U-Net., (© 2023. The Author(s).)

Objective: Early detection of hypopharyngeal squamous cell carcinoma (SCC) is important for both an improved prognosis and less-invasive treatment. We retrospectively analyzed the detection rates of early hypopharyngeal SCCs according to the evaluation methods and the clinical management of early hypopharyngeal SCCs., Methods: Sixty-eight patients with early hypopharyngeal SCC who were diagnosed were reviewed., Results: The number of early hypopharyngeal cancer patients with asymptomatic or synchronous or metachronous esophageal cancer examined by upper gastrointestinal endoscopy with narrow-band imaging (NBI) was significantly higher than those examined by laryngopharyngeal endoscopy with NBI. The 3-year disease-specific survival rates according to T classification were as follows: Tis, 100%; T1, 100%; T2, 79.8%; and overall, 91.2%, respectively., Conclusions: Early-stage hypopharyngeal SCC can be cured by minimally invasive transoral surgery or radiotherapy. Observation of the pharynx using NBI in patients with a history of head and neck cancer, esophageal cancer, gastric cancer, or pharyngeal discomfort is very important, and routinely examining the pharynx with NBI, even in patients undergoing endoscopy for screening purposes, is recommended.

Hypopharyngeal cancer (HPC) is a rare disease. Therefore, it is a challenge to automatically segment HPC tumors and metastatic lymph nodes (HPC risk areas) from medical images with the small-scale dataset. Combining low-level details and high-level semantics from feature maps in different scales can improve the accuracy of segmentation. Herein, we propose a Multi-Modality Transfer Learning Network with Hybrid Bilateral Encoder (Twist-Net) for Hypopharyngeal Cancer Segmentation. Specifically, we propose a Bilateral Transition (BT) block and a Bilateral Gather (BG) block to twist (fuse) high-level semantic feature maps and low-level detailed feature maps. We design a block with multi-receptive field extraction capabilities, M Block, to capture multi-scale information. To avoid overfitting caused by the small scale of the dataset, we propose a transfer learning method that can transfer priors experience from large computer vision datasets to multi-modality medical imaging datasets. Compared with other methods, our method outperforms other methods on HPC dataset, achieving the highest Dice of 82.98%. Our method is also superior to other methods on two public medical segmentation datasets, i.e., the CHASE&#95;DB1 dataset and BraTS2018 dataset. On these two datasets, the Dice of our method is 79.83% and 84.87%, respectively. The code is available at: https://github.com/zhongqiu1245/TwistNet., Competing Interests: Declaration of competing interest The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper., (Copyright © 2023. Published by Elsevier Ltd.)

Objective: To evaluate the diagnostic value of narrow band imaging (NBI) endoscopic classification for hypopharyngeal lesions and to lay the groundwork for practical applications of oxygen-injected laryngoscope for hypopharyngeal carcinoma (HC)., Methods: A total of 140 subjects with suspected 146 hypopharyngeal lesions were selected for pathological examination. Subsequently, NBI and white light imaging (WLI) endoscopy were performed to observe and classify lesions into 7 types according to our modified NBI classification. Pathological results were used as the gold standard to assess the diagnostic value of the NBI classification. The value of oxygen-injected laryngoscope for accurate assessment of lesion extension was evaluated based on the exposure of hypopharyngeal lesions before and after use., Results: The accuracy, sensitivity, and negative predictive value of NBI endoscopy in diagnosing hypopharyngeal lesions were 95.9 %, 96.7 %, and 84.6 %, respectively, which were higher than those of WLI mode (p < 0.05). NBI endoscopy was more accurate than WLI in diagnosing malignant lesions (p < 0.05), especially for high-grade dysplasia (HGD) (p < 0.05). There was remarkable consistency between NBI classification and pathological results (Kappa = 0.855). Type Va and type Vb-c accounted for 72.7 % and 92.8 % of HGD and invasive carcinoma, respectively. Moreover, the oxygen-injected laryngoscope was found to provide a more accurate assessment of HC extension (P < 0.001)., Conclusion: We propose a more appropriate NBI endoscopic classification for hypopharyngeal lesions, which can effectively improve diagnostic accuracy, especially for the early diagnosis of hypopharyngeal cancer. Moreover, the application of oxygen-injected laryngoscope is essential for the accurate assessment of HC and has a high clinical utility., (Copyright © 2022 Elsevier Inc. All rights reserved.)

Neoadjuvant chemotherapy has become one of the important means for advanced hypopharyngeal carcinoma. So far, there is no effective index to predict the curative effect. To investigate the value of iodine map of dual-energy computed tomography (CT) in predicting the efficacy of neoadjuvant chemotherapy for hypopharyngeal carcinoma. A total of 54 hypopharyngeal carcinomapatients who underwent two courses of TPF neoadjuvant chemotherapy were recruited in this study. Three cases had a complete response (CR), thirty-six cases had a partial response (PR), eleven cases had stable disease (SD), and four cases had a progressive disease (PD) after the chemotherapy. All patients underwent a dual-source CT scan before chemotherapy and rescanned after chemotherapy. The normalized iodine-related attenuation (NIRA) of the mean of maximum slice and most enhanced region of lesion at arterial and parenchymal phase were measured: NIRA mean-A , NIRA max-A , NIRA mean-P , and NIRA max-P , respectively. Correlation analysis was conducted between different metrics of NIRA and the diameter change rate of lesions, and the curative effect was evaluated based on the receiver operating characteristic (ROC) curve. There were a significant correlation between NIRA mean-A , NIRA max-A , NIRA mean-P , NIRA max-P and the change rate of lesion's maximum diameter (ΔD%) (all P < 0.01). The NIRA max-A , NIRA mean-P , NIRA max-P had significant differences between CR, PR, SD, PD groups, but NIRA mean-A did not reach a significant difference. All NIRA mean-A , NIRA max-A , NIRA mean-P , NIRA max-P had significant differences between effective (CR + PR) and ineffective (SD + PD) groups. The ROC analysis revealed that NIRA mean-P had the largest AUC and prediction efficacy (AUC = 0.809). Dual-energy CT iodine map could predict the efficacy of neoadjuvant chemotherapy and provides imaging evidence to assist in treatment decisions for hypopharyngeal carcinoma patients., (© 2022. The Author(s).)

Introduction: Induction chemotherapy (IC) followed by concurrent chemoradiotherapy (CCRT) is recommended for larynx-preserving treatment of locally advanced hypopharyngeal cancer (LAHC). However, the conventional evaluation of response is not robust enough to predict the outcome of subsequent treatments. This study aimed to develop an imaging biomarker using changes in radiomic features in invasive tumor front (ITF) by IC to predict treatment outcome of subsequent CCRT in LAHC., Methods: From 2006 to 2018, 59 computed tomography (CT) scan images before and after IC in patients with LAHC were used to contour the gross tumor volumes (GTVs). A total of 48 delta-volume radiomics features were acquired from the absolute spatial difference of GTVs (delta-GTV) before and after IC, conceptually representing a consistent portion of ITF. Least absolute shrinkage and selection operator regression (LASSO) was used to select features for establishing the model generating radiomic score (R score)., Results: A model including 5 radiomic features from delta-GTV to predict better progression-free survival (PFS) of patients receiving subsequent CCRT was established. The R score was validated with all datasets (area under the curve 0.77). Low R score (<-0.16) was associated with improved PFS ( p < 0.05)., Conclusions: The established radiomic model for ITF from radiomic features of delta-GTV after IC might be a potential imaging biomarker for predicting clinical outcome of subsequent CCRT in LAHC.

Nivolumab administration to patients with organ transplantation history requires careful management. Herein, we report the case of a living-donor liver-transplant recipient, a 52-year-old man, with recurrent and metastatic hypopharyngeal cancer treated with nivolumab. He was diagnosed with T2N2bM0 stage IVA hypopharyngeal squamous cell carcinoma. While using oral immunosuppressants (cyclosporine and mycophenolate mofetil), the patient underwent right neck dissection followed by radiotherapy as an initial treatment. Three months after radiotherapy, positron emission tomography scans revealed multiple bone metastases. We administered two courses of the EXTREME regimen, comprising cisplatin, 5-fluorouracil, and cetuximab, as the first-line treatment for distal metastasis, but the patient presented with progressive disease. The patient was administered nivolumab as the second-line treatment. The programmed death-ligand 1 (PD-L1) expression level in a biopsy specimen of the primary hypopharyngeal tumor and resected specimen of the cervical lymph node metastasis was 40% and 10%, respectively. PD-L1 expression was not detected in hepatocytes of the liver biopsy sample obtained before nivolumab introduction. The patient received four courses of nivolumab 240 mg. Although liver dysfunction was alleviated by adjusting the dose of the hepatoprotective agent and cyclosporine, the progressive disease status persisted after completing nivolumab courses. The patient died of hypopharyngeal cancer progression., Competing Interests: Declaration of Competing Interest K. Tsukahara has received grant support from Ono Pharmaceutical Co., Ltd. Other Authors have no potential conflicts of interest or financial relationships to disclose., (Copyright © 2021. Published by Elsevier B.V.)

Objectives: This preliminary study aimed to develop a deep learning (DL) model using diffusion-weighted imaging (DWI) and apparent diffusion coefficient (ADC) maps to predict local recurrence and 2-year progression-free survival (PFS) in laryngeal and hypopharyngeal cancer patients treated with various forms of radiotherapy-related curative therapy., Methods: Seventy patients with laryngeal and hypopharyngeal cancers treated by radiotherapy, chemoradiotherapy, or induction-(chemo)radiotherapy were enrolled and divided into training (N = 49) and test (N = 21) groups based on presentation timeline. All patients underwent MR before and 4 weeks after the start of radiotherapy. The DL models that extracted imaging features on pre- and intra-treatment DWI and ADC maps were trained to predict the local recurrence within a 2-year follow-up. In the test group, each DL model was analyzed for recurrence prediction. Additionally, the Kaplan-Meier and multivariable Cox regression analyses were performed to evaluate the prognostic significance of the DL models and clinical variables., Results: The highest area under the receiver operating characteristics curve and accuracy for predicting the local recurrence in the DL model were 0.767 and 81.0%, respectively, using intra-treatment DWI (DWI intra ). The log-rank test showed that DWI intra was significantly associated with PFS (p = 0.013). DWI intra was an independent prognostic factor for PFS in multivariate analysis (p = 0.023)., Conclusion: DL models using DWI intra may have prognostic value in patients with laryngeal and hypopharyngeal cancers treated by curative radiotherapy. The model-related findings may contribute to determining the therapeutic strategy in the early stage of the treatment., Key Points: • Deep learning models using intra-treatment diffusion-weighted imaging have prognostic value in patients with laryngeal and hypopharyngeal cancers treated by curative radiotherapy. • The findings from these models may contribute to determining the therapeutic strategy at the early stage of the treatment., (© 2022. The Author(s), under exclusive licence to European Society of Radiology.)

Treatment of laryngeal and hypopharyngeal tumors with surgery, radiation therapy, and chemotherapy is aimed at improving survival and preserving function. PET with fluorodeoxyglucose F 18 ( 18 F FDG-PET)/computed tomography is the standard of care and an integral part of staging and treatment response assessment in patients with laryngeal and hypopharyngeal cancers. Knowledge of cross-sectional laryngeal and hypopharyngeal anatomy, expected patterns of tumor spread, and awareness of physiologic FDG uptake in head and neck structures is essential for accurate TNM staging. 18 F FDG-PET/computed tomography is superior to anatomic imaging in identifying posttreatment local, regional, and distant tumor recurrence., Competing Interests: Disclosure The authors have nothing to disclose., (Copyright © 2021 Elsevier Inc. All rights reserved.)

Radiomics, a technique for quantitative analysis of tumor imaging information through high-throughput extraction, uses a non-invasive way to capture a large number of internal heterogeneity characteristics of tumors, providing imaging basis for tumor staging and typing, tumor invasion site and distant metastasis, postoperative induction chemotherapy and prognosis, and providing new ideas and new thinking for the field of personalized precision medicine of tumors. This review aims to briefly summarize the latest research progress of imaging omics in the diagnosis and treatment design of head and neck tumor, and to discuss the research progress of constructing the treatment plan and prognosis evaluation model of hypopharyngeal cancer based on imaging omics, and to predict and forecast its development direction and clinical application., Competing Interests: The authors of this article and the planning committee members and staff have no relevant financial relationships with commercial interests to disclose., (Copyright© by the Editorial Department of Journal of Clinical Otorhinolaryngology Head and Neck Surgery.)

Background and Purpose: Accurate assessment of thyroid cartilage invasion on preoperative imaging influences management in patients with laryngeal and hypopharyngeal cancers. We evaluated the clinical usefulness of contrast-enhanced 3D T1-weighted radial gradient recalled-echo for preoperative assessment of thyroid cartilage invasion in patients with laryngohypopharyngeal squamous cell carcinoma, compared with 2D spin-echo T1WI., Materials and Methods: Preoperative MR images of 52 consecutive patients who were diagnosed with laryngeal or hypopharyngeal cancer and underwent partial or total laryngectomy were analyzed. Pathologic specimens served as reference standards. Two independent head and neck radiologists evaluated the presence of thyroid cartilage invasion in both contrast-enhanced 2D spin-echo T1WI and 3D gradient recalled-echo sequences. The sensitivity, specificity, and accuracy of the 2 modalities were compared. The area under the curve was a measure of diagnostic performance., Results: Pathologic neoplastic thyroid cartilage invasion was identified in 24 (46.2%) of the 52 patients. The sensitivity (75.0%), specificity (96.4%), and accuracy (86.5%) of contrast-enhanced 3D gradient recalled-echo were significantly higher than those of 2D spin-echo T1WI (58.3%, 89.3%, and 75.0%; P  = .017, .003, and .002, respectively). 3D gradient recalled-echo had significantly better diagnostic performance (area under the curve = 0.963) than 2D spin-echo T1WI (area under the curve = 0.862; P  = .010)., Conclusions: Contrast-enhanced 3D gradient recalled-echo was diagnostically superior in identifying neoplastic thyroid cartilage invasion compared with 2D spin-echo T1WI in patients with laryngohypopharyngeal cancer, and therefore, may provide more accurate preoperative staging., (© 2021 by American Journal of Neuroradiology.)

Background: In this systematic review, we aim to identify prognostic imaging variables of recurrent laryngeal or hypopharyngeal carcinoma after chemoradiotherapy., Methods: A systematic search was performed in PubMed and EMBASE (1990-2020). The crude data and effect estimates were extracted for each imaging variable. The level of evidence of each variable was assessed and pooled risk ratios (RRs) were calculated., Results: Twenty-two articles were included in this review, 17 on computed tomography (CT) and 5 on magnetic resonance imaging (MRI) variables. We found strong evidence for the prognostic value of tumor volume at various cut-off points (pooled RRs ranging from 2.09 to 3.03). Anterior commissure involvement (pooled RR 2.19), posterior commissure involvement (pooled RR 2.44), subglottic extension (pooled RR 2.25), and arytenoid cartilage extension (pooled RR 2.10) were also strong prognostic factors., Conclusion: Pretreatment tumor volume and involvement of several subsites are prognostic factors for recurrent laryngeal or hypopharyngeal carcinoma after chemoradiotherapy., (© 2021 The Authors. Head & Neck published by Wiley Periodicals LLC.)

With the acceleration of people's life rhythm, the incidence of hypopharyngeal cancer has generally increased. This study mainly explores the clinical efficacy and toxicity of lobaplatin compared with cisplatin in the treatment of locally advanced hypopharyngeal carcinoma based on intelligent CT imaging. Group A received lobaplatin combined with docetaxel induction chemotherapy for 2 cycles after cisplatin combined with intensity-modulated radiotherapy. Lobaplatin was added to the patient, then, 200 ml of 5% glucose was added, and the patient was injected intravenously for 1.8 hours. After 2 cycles of induction chemotherapy, simultaneous lobaplatin chemotherapy was performed every week for 5 weeks (10 mg/week), and the efficacy was evaluated after 4 consecutive courses of treatment. Group B received cisplatin combined with docetaxel induction chemotherapy after 2 cycles of cisplatin combined with intensity-modulated radiotherapy. Group C was the control group and was not treated with cisplatin or docetaxel. Stomach protection treatment was given in time throughout the treatment process. All patients underwent normal CT (NCCT) and enhanced CT (CECT) examinations before treatment. We extracted 5 mm plain scan CTQNCCT and enhanced CT (CECT) digital DICOM images from the PACS system for omics feature selection. Toxic and side effects are rated in different degrees according to the evaluation criteria of the National Cancer Institute (NCD) common adverse events. Blood routine and liver and kidney function tests were checked every week, and the medication was stopped immediately if there is a serious reaction. In addition, in vitro cell culture was set up to test the inhibitory effect of cisplatin and lobaplatin on the proliferation of cancer cells. The incidence of digestive tract reaction was 13.0% in the A plan group and 58.3% in the B plan group. The A group was lower than the B group, and the difference was statistically significant ( P =0.001 < 0.05). Compared with cisplatin, lobaplatin has a milder gastrointestinal reaction, and there is no common hepatic and renal toxicity of cisplatin. This study is helpful to provide guidance for the clinical efficacy of locally advanced hypopharyngeal cancer treatment., Competing Interests: The authors declare that they have no conflicts of interest., (Copyright © 2021 Yunyan Li et al.)

Objective: To evaluate the feasibility and diagnostic performance of ultrasound (US)-guided fine-needle aspiration cytology and core-needle biopsy (US-FNAC/CNB) for the diagnosis of laryngo-hypopharyngeal masses., Materials and Methods: This was a single-center prospective case series. From January 2018 to June 2019, we initially enrolled 40 patients with highly suspicious laryngo-hypopharyngeal masses on laryngoscopic examinations. Of these, 28 patients with the mass involving or abutting the pre-epiglottic, paraglottic, pyriform sinus, and/or subglottic regions were finally included. These patients underwent US examinations with/without subsequent US-FNAC/CNB under local anesthesia for evaluation of the laryngo-hypopharyngeal mass., Results: Of the 28 patients who underwent US examinations, a laryngo-hypopharyngeal mass was identified in 26 patients (92.9%). US-FNAC/CNB was performed successfully in 25 of these patients (96.2%), while the procedure failed to target the mass in 1 patient (3.8%). The performance of US caused minor subclinical hematoma in 2 patients (7.7%), but no major complications occurred. US-FNAC/CNB yielded conclusive results in 24 (96.0%) out of the 25 patients with a successful procedure, including 23 patients with squamous cell carcinoma (SCC) and 1 patient with a benign mass. In one patient with atypical cells in US-FNAC, additional direct laryngoscopic biopsy (DLB) was required to confirm SCC. Among the 26 patients who received US-FNAC/CNB, the time from first visit to pathological diagnosis was 7.8 days. For 24 patients finally diagnosed with SCC, the time from first visit to the initiation of treatment was 25.2 days. The mean costs associated with US-FNAC/CNB was $272 under the Korean National Health Insurance Service System., Conclusion: US-FNAC/CNB for a laryngo-hypopharyngeal mass is technically feasible in selected patients, providing good diagnostic performance. This technique could be used as a first-line diagnostic modality by adopting appropriate indications to avoid general anesthesia and DLB-related complications., Competing Interests: The authors have no potential conflicts of interest to disclose., (Copyright © 2021 The Korean Society of Radiology.)

Surgical intervention aids in maintaining quality of life in patients with recurrent metastatic head and neck carcinoma with mixed responses to nivolumab treatment. However, the mechanisms involved in these mixed responses remain unclear. Systemic chemotherapy using the EXTREME regimen was administered to the patient with hypopharyngeal carcinoma and liver metastases as well as cervical lymph node metastases. The patient was subsequently treated with nivolumab after developing signs of progressive disease. Although the hypopharyngeal tumors and liver metastases were well-controlled, cervical lymph node dissection was performed because of the enlargement of some of the lymph node metastases. Postoperative nivolumab administration was resumed, and this patient is presently alive and disease-free. Immediately after neck dissection, the LNs that responded and those that did not respond to nivolumab were separated and evaluated. The LNs that responded well to nivolumab presented with prominent interstitial fibrosis. Conversely, in LNs that enlarged after nivolumab, significant proliferation of the viable tumor cells and almost no degeneration or necrosis was observed. Additionally, we performed immunohistological assessments on pathologic samples of multiple lesions with differing responses to treatment. Targeted surgical intervention appears to be a valuable adjunct to treatment with nivolumab., Competing Interests: Declaration of Competing Interest K. Tsukahara has received grant support from Ono. Other authors have no conflicts of interest, potential conflicts or financial relationships to disclose., (Copyright © 2020. Published by Elsevier B.V.)

Objectives/hypothesis: Prevertebral fascia invasion is a feature of advanced hypopharyngeal squamous cell carcinoma (HPSCC) that predicts surgical futility. Magnetic resonance and computed topography imaging are used to identify prevertebral involvement, but reliable prediction remains a challenge. Our aims were to describe a new indication for esophagrams and assess its ability to detect prevertebral invasion preoperatively., Study Design: Retrospective Review., Methods: A retrospective review of advanced HPSCC patients from 2001 to 2019. Thirty-one patients underwent curative treatment (21 surgically, 10 with chemoradiation) with a preoperative esophagram. Operative and pathology reports, and fluoroscopic images were collected from the medical record. Esophagrams were read independently by two blinded radiologists. Excursion of the laryngeal complex was quantified relative to the height of vertebral bodies; <0.5 bodies was considered positive for fixation. Surgery or comparative imaging modalities were the gold-standard comparisons., Results: Mean age at diagnosis was 63 years. Twenty-one patients underwent surgical treatment with laryngopharyngectomies. One patient had prevertebral invasion during surgical exploration. Ten patients underwent chemoradiation therapy, and three of these had prevertebral invasion. The average hyolaryngeal elevation was 1.05 vertebral bodies (standard deviation = 0.5). There was a strong correlation between radiologists (R = 0.80, P < .0001). Compared to the gold standard, esophagrams had sensitivity of 75%, specificity of 93%, positive predictive value of 60%, and a negative predictive value (NPV) of 96%., Conclusions: This study highlights the utility of a common radiologic modality in assessing prevertebral fascia invasion in an advanced-stage HPSCC cohort undergoing surgical treatment. With a high NPV and specificity, the esophagram's potential to rule out prevertebral fascia invasion is a useful predictor of resectability., Level of Evidence: 4 Laryngoscope, 131:800-805, 2021., (© 2020 American Laryngological, Rhinological and Otological Society Inc, "The Triological Society" and American Laryngological Association (ALA).)

Background and Purpose: We aimed to evaluate the prognostic value of radiologic extranodal extension (rENE) in patients with hypopharyngeal cancer (HPC) treated with primary chemoradiation., Materials and Methods: Cancer registry data were reviewed from 2005 to 2014. Inclusion criteria included HPC, clinical N1-3 disease (AJCC staging system, 7th edition), and receiving radiotherapy. Patients with M1 diseaseor with synchronous/metachronous cancer were excluded. Staging images were reviewed by two radiologists. rENE was defined as infiltration of adjacent fat/muscles, irregular nodal surface, or irregular capsular enhancement. Clinical stage, rENE status, and clinical outcome were analyzed., Results: Overall, 355 patients were included. Patients with rENE had lower 3-year overall survival (OS) and recurrence-free survival (RFS) rates. Univariate analysis showed that clinical T4 or N3 stage, overall stage IV, and rENE correlated with OS and RFS. In multivariate analysis, clinical T4 or N3 stage correlated with poor OS, while clinical T4 or N3 stage and rENE were independent predictors of poor RFS. N1/2 without rENE was designated as Group 1, N1/2 with rENE as Group 2, and N3 with/without rENE as Group 3. The 3-year RFS rates in Groups 1, 2, and 3 were 55.8%, 41.0%, and 29.3%, respectively. The 3-year RFS rate in Group 1 was significantly higher than that in the other two groups., Conclusions: rENE is an adverse prognostic factor for survival in patients with HPC treated with primary chemoradiation. It correlated with inferior RFS regardless of N stage. rENE may be used as a criterion for clinical ENE in future staging systems., (Copyright © 2020. Published by Elsevier B.V.)

(1) Purpose: The objective was to evaluate CT perfusion and radiomic features for prediction of one year disease free survival in laryngeal and hypopharyngeal cancer. (2) Method and Materials: This retrospective study included pre and post therapy CT neck studies in 36 patients with laryngeal/hypopharyngeal cancer. Tumor contouring was performed semi-autonomously by the computer and manually by two radiologists. Twenty-six radiomic features including morphological and gray-level features were extracted by an internally developed and validated computer-aided image analysis system. The five perfusion features analyzed included permeability surface area product (PS), blood flow (flow), blood volume (BV), mean transit time (MTT), and time-to-maximum (Tmax). One year persistent/recurrent disease data were obtained following the final treatment of definitive chemoradiation or after total laryngectomy. We performed a two-loop leave-one-out feature selection and linear discriminant analysis classifier with generation of receiver operating characteristic (ROC) curves and confidence intervals (CI). (3) Results: 10 patients (28%) had recurrence/persistent disease at 1 year. For prediction, the change in blood flow demonstrated a training AUC of 0.68 (CI 0.47-0.85) and testing AUC of 0.66 (CI 0.47-0.85). The best features selected were a combination of perfusion and radiomic features including blood flow and computer-estimated percent volume changes- training AUC of 0.68 (CI 0.5-0.85) and testing AUC of 0.69 (CI 0.5-0.85). The laryngoscopic percent change in volume was a poor predictor with a testing AUC of 0.4 (CI 0.16-0.57). (4) Conclusions: A combination of CT perfusion and radiomic features are potential predictors of one-year disease free survival in laryngeal and hypopharyngeal cancer patients., Competing Interests: Conflicts of InterestThe authors declare no conflict of interest., (© 2021 by the authors.)

Head and neck synovial sarcoma is rare. We report the case of a 71-year-old man who presented with progressive dysphagia, odynophagia, shortness of breath on exertion and hoarseness of voice. Nasendoscopy revealed a smooth, non-fungating, non-ulcerative mass arising from the left lateral pharyngeal wall. CT showed a well-defined, heterogenous enhancing lesion arising from the left pyriform fossa. Initial biopsy taken was inconclusive and patient underwent a transcervical complete excision of the tumour, where histopathological analysis confirmed the diagnosis of monophasic synovial sarcoma of the left pyriform fossa. This patient also received adjuvant radiotherapy postoperatively and remained disease free 1 year after completion of treatment., Competing Interests: Competing interests: None declared., (© BMJ Publishing Group Limited 2020. No commercial re-use. See rights and permissions. Published by BMJ.)

Purpose: We investigated in a single-center prospective trial (NCT03376386) the use of serial fluorine-18 fluorodeoxyglucose positron emission tomography (FDG-PET)/computed tomography (CT) to determine the boost dose and to guide boost segmentation in head and neck cancer., Methods and Materials: Patients were eligible when treated with curative radiation therapy with or without systemic treatment for T2-4 squamous cell carcinoma of the hypopharynx, larynx, or oropharynx (20 patients in total). FDG-PET/CT scans were made at baseline and for redelineation and replanning at the end of weeks 2 and 4 of radiation therapy. The metabolically active part of the primary tumor received a 4 Gy boost on top of the 70 Gy baseline dose per partial metabolic response. The study would be considered feasible when ≥80% of adaptations were successful and no Common Terminology Criteria for Adverse Events grade ≥4 acute toxicity occurred., Results: One patient received 70 Gy after complete metabolic response in week 2, and 12 patients received 78 Gy because of partial metabolic response at weeks 2 and 4. Seven patients received 74 Gy, either because of complete metabolic response at week 4 (n = 3) or a missed FDG-PET/CT (n = 4). The patients missed their FDG-PET/CT scans because they did not fast (n = 2) or at patients' request (n = 2). In addition to the 4 missed FDG-PET/CT scans, 2 adaptive plans could not be finished successfully owing to logistical problems. In total, 85% of adaptations were completed correctly. No patient experienced grade ≥4 toxicity, and 40% had grade 3 dysphagia (tube feeding) during treatment. This decreased at 12 weeks posttreatment to 20%., Conclusions: This prospective trial demonstrates the feasibility of serial FDG-PET/CT scans for dose escalation and patient selection., (Copyright © 2020 Elsevier Inc. All rights reserved.)

Background: Laryngeal and hypopharyngeal squamous cell carcinoma (LHSCC) with thyroid cartilage invasion are considered T4 and need total laryngectomy. However, the accuracy of preoperative diagnosis of thyroid cartilage invasion remains lower. Therefore, the purpose of this study was to assess the potential of computed tomography (CT)-based radiomics features in the prediction of thyroid cartilage invasion from LHSCC., Methods: A total of 265 patients with pathologically proven LHSCC were enrolled in this retrospective study (86 with thyroid cartilage invasion and 179 without invasion). Two head and neck radiologists evaluated the thyroid cartilage invasion on CT images. Radiomics features were extracted from venous phase contrast-enhanced CT images. The least absolute shrinkage and selection operator (LASSO) and logistic regression (LR) method were used for dimension reduction and model construction. In addition, the support vector machine-based synthetic minority oversampling (SVMSMOTE) algorithm was adopted to balance the dataset and a new LR-SVMSMOTE model was constructed. The performance of the radiologist and the two models were evaluated with receiver operating characteristic (ROC) curves and compared using the DeLong test., Results: The areas under the ROC curves (AUCs) in the prediction of thyroid cartilage invasion from LHSCC for the LR-SVMSMOTE model, LR model, and radiologist were 0.905 [95% confidence interval (CI): 0.863 to 0.937)], 0.876 (95%CI: 0.830 to 0.913), and 0.721 (95%CI: 0.663-0.774), respectively. The AUCs of both models were higher than that of the radiologist assessment (all P < 0.001). There was no significant difference in predictive performance between the LR-SVMSMOTE and LR models (P = 0.05)., Conclusions: Models based on CT radiomic features can improve the accuracy of predicting thyroid cartilage invasion from LHSCC and provide a new potentially noninvasive method for preoperative prediction of thyroid cartilage invasion from LHSCC.

Objective: The aim of this study was to predict response to neoadjuvant chemotherapy (NAC) in patients with locally advanced hypopharyngeal cancer by dynamic contrast-enhanced magnetic resonance imaging (DCE-MRI). Methods: A retrospective study enrolled 46 diagnosed locally advanced hypopharyngeal cancer. DCE-MRI were performed prior to and after two cycles of NAC. The volume transfer constant (K trans ), extracellular extravascular volume fraction (V e ), and plasma volume fraction (K ep ) were computed from primary tumors. DCE-MRI parameters were used to measure tumor response according to the Response Evaluation Criteria in Solid Tumors criteria (RECIST). Results： After 2 NAC cycles, 30 out of 46 patients were categorized into the responder group, whereas the other 16 were categorized into non-responder group. Compared with the pretreatment value, the post-treatment K trans and K ep was significantly lower ( P < 0.05), but no significant change in V e ( P > 0.05). Compared with non-responders, a notably higher pretreatment K trans , K ep , lower post-treatment K trans , higher ΔK trans and ΔK ep were observed in responders (all P < 0.05). While the pretreatment V e , post-treatment V e , and ΔV e did not differ significantly ( P> 0.05) between the two groups. The receiver operating characteristic curve analysis revealed that pretreatment K trans of 0.202/min is the most optimal cut-off in predicting response to chemotherapy, resulting in an AUC of 0.837 and corresponding sensitivity and specificity of 76.7%, and 81.1%, respectively. Conclusion: DCE-MRI especially pretreatment K trans can potentially predict the treatment response to neoadjuvant chemotherapy for hypopharyngeal cancer. Advances in knowledge: Few studies of DCE-MRI on hypopharyngeal cancer treated with chemoradiation reported. The results demonstrate that DCE-MRI especially pretreatment K trans may be more potential value in predicting the treatment response to neoadjuvant chemotherapy for hypopharyngeal cancer.

Purpose: In the clinical management of hypopharyngeal squamous cell carcinoma (HSCC), preoperative identification of early recurrence (≤2 years) after curative resection is essential. Thus, we aimed to develop a CT-based radiomic signature to predict early recurrence in HSCC patients preoperatively., Methods: In total, 167 HSCC patients who underwent partial surgery were enrolled in this retrospective study and divided into two groups, i.e., the training cohort ( n = 133) and the validation cohort ( n = 34). Each individual was followed up for at least for 2 years. Radiomic features were extracted from CT images, and the radiomic signature was built with the least absolute shrinkage and selection operator (LASSO) logistic regression (LR) model. The associations of preoperative clinical factors with early recurrence were evaluated. A radiomic signature-combined model was built, and the area under the curve (AUC) was used to explore their performance in discriminating early recurrence., Results: Among the 1415 features, 335 of them were selected using the variance threshold method. Then, the SelectKBest method was further used for the selection of 31 candidate features. Finally, 11 out of 31 optimal features were identified with the LASSO algorithm. In the LR classifier, the AUCs of the training and validation sets in discriminating early recurrence were 0.83 (95% CI: 0.76-0.90) (sensitivity 0.8 and specificity 0.83) and 0.83 (95% CI: 0.67-0.99) (sensitivity 0.69 and specificity 0.71), respectively., Conclusions: Using the radiomic signature, we developed a radiomic signature to preoperatively predict early recurrence in patients with HSCC, which may serve as a potential noninvasive tool to guide personalized treatment., Competing Interests: The authors declare that they have no conflicts of interest., (Copyright © 2020 Wenming Li et al.)

Purpose: Apparent diffusion coefficients (ADCs) derived from diffusion-weighted magnetic resonance imaging (DW-MRI) and metabolic parameters derived from 18 F-FDG positron emission tomography (PET) are promising prognostic indicators for head and neck squamous cell carcinoma (SCC). However, the relationship between them remains unclear. This study aimed to investigate the relationship between ADCs and metabolic parameters in hypopharyngeal SCC (HSCC) using integrated PET/MRI., Materials and Methods: Twenty-seven patients with biopsy-proven HSCC underwent integrated 18 F-FDG neck PET/MRI. ADCs of HSCC, including the mean and minimum ADC values (ADC mean and ADC min ), were measured manually on ADC maps. Metabolic parameters of HSCC, including maximum and mean standardized uptake values (SUV max and SUV mean ), metabolic tumor volume (MTV), and total lesion glycolysis (TLG), were calculated automatically on PET images. Spearman correlation coefficients were used to assess the relationships between ADCs and metabolic parameters in HSCC tumors as well as in tumor groups with different histological grading, clinical staging, and anatomical subsites. P values < 0.05 were considered statistically significant., Results: No significant correlation was observed between ADCs and 18 F-FDG PET metabolic parameters in the entire cohort, except for a significant inverse correlation between ADC mean and MTV (r = -0.556, P = 0.003). Furthermore, a significant inverse correlation was observed between ADC mean and MTV of HSCC in the moderately to well differentiated group (r ADCmean/MTV = -0.692, P = 0.006), stage III group (r ADCmean/MTV = -0.758, P = 0.003), and pyriform sinus group (r ADCmean/MTV = -0.665, P = 0.007), whereas no significant correlation was observed in the poorly differentiated group, stage IV group, or non-pyriform sinus group., Conclusions: Inverse correlation between ADC mean and MTV in the HSCC population was observed and the correlativity depended on histological grading, clinical staging, and anatomical subsites of HSCC., Competing Interests: Declaration of Competing Interest The authors declare no conflict of interest., (Copyright © 2020 Elsevier B.V. All rights reserved.)

Objective: To compare the diagnostic accuracy of positron emission tomography/magnetic resonance (PET/MR) versus PET/computed tomography (PET/CT) for T and N staging of hypopharyngeal cancer., Methods: Integrated PET/MR and PET/CT examinations were performed in 20 patients with hypopharyngeal cancer after same-day single injection. Eleven of 20 patients underwent surgery with histologic findings directly compared with imaging findings. Statistical analysis included Spearman correlation and McNemar test., Results: Accuracy of PET/MR, PET/CT, and MRI for T staging was 81.8%, 63.6%, and 72.7%, respectively. Sensitivity and specificity for detecting metastatic lymph nodes was 88.2% and 98.2% on PET/MR, 76.5% and 98.3% on PET/CT, and 64.7% and 94.7% on MRI., Conclusions: The PET/MR and PET/CT provide comparable results for assessing hypopharyngeal carcinoma and detecting metastatic lymph nodes.

We used 1.5T magnetic resonance imaging (MRI) to investigate the role of semiquantitative parameters related to dynamic contrast-enhanced (DCE)-MRI and the apparent diffusion coefficient (ADC) of diffusion-weighted imaging (DWI) in predicting and monitoring the efficacy of concurrent radiotherapy and chemotherapy for laryngeal cancer. The data from 58 patients with newly diagnosed laryngeal cancer who had been treated at our hospital from August 2016 to March 2018 were collected. The 58 patients included 56 men and 2 women, with a median age of 57 years. The pathologic examination of the biopsy specimens revealed squamous cell carcinoma. The time signal curve (TIC) of the tumor and related semiquantitative parameters was measured before, during (radiation dose, 50 Gy), and at the end of treatment (monitoring value after treatment). The results revealed that the TIC types and DCE-MRI-related semiquantitative parameters can predict the efficacy of concurrent chemoradiotherapy for laryngeal and hypopharyngeal cancer. Of the semiquantitative parameters, the signal enhancement ratio at 56 seconds had the greatest predictive value. Patients with TIC type I before treatment had a better prognosis than those with TIC type III. The pre-ADC value was not enough to predict the efficacy. The ADC value, DCE-MRI-related semiquantitative parameters, and their change before treatment had a certain effect in monitoring the changes in water molecule diffusion movement and hemodynamic changes after tumor treatment. However, these were not enough to predict the efficacy., (Copyright © 2020 Elsevier Inc. All rights reserved.)

Purpose: To develop a radiomics-based model to stratify the risk of early progression (local/regional recurrence or metastasis) among patients with hypopharyngeal cancer undergoing chemoradiotherapy and modify their pretreatment plans., Materials and Methods: We randomly assigned 113 patients into two cohorts: training (n = 80) and validation (n = 33). The radiomic significant features were selected in the training cohort using least absolute shrinkage and selection operator and Akaike information criterion methods, and they were used to build the radiomic model. The concordance index (C-index) was applied to evaluate the model's prognostic performance. A Kaplan-Meier analysis and the log-rank test were used to assess risk stratification ability of models in predicting progression. A nomogram was plotted to predict individual risk of progression., Results: Composed of four significant features, the radiomic model showed good performance in stratifying patients into high- and low-risk groups of progression in both the training and validation cohorts (log-rank test, p = 0.00016, p = 0.0063, respectively). Peripheral invasion and metastasis were selected as significant clinical variables. The combined radiomic-clinical model showed good discriminative performance, with C-indices 0.804 (95% confidence interval (CI), 0.688-0.920) and 0.756 (95% CI, 0.605-0.907) in the training and validation cohorts, respectively. The median progression-free survival (PFS) in the high-risk group was significantly shorter than that in the low-risk group in the training (median PFS, 9.5 m and 19.0 m, respectively; p [log-rank] < 0.0001) and validation (median PFS, 11.3 m and 22.5 m, respectively; p [log-rank] = 0.0063) cohorts., Conclusions: A radiomics-based model was established to predict the risk of progression in hypopharyngeal cancer with chemoradiotherapy., Key Points: • Clinical information showed limited performance in stratifying the risk of progression among patients with hypopharyngeal cancer. • Imaging features extracted from CECT and NCCT images were independent predictors of PFS. • We combined significant features and valuable clinical variables to establish a nomogram to predict individual risk of progression.

Background: Head and neck haemangiomas in the pharynx and larynx are rare, and the injection of bleomycin is currently one of the effective treatments. However, data on the therapeutic efficacy of this treatment are scarce. Objectives: To evaluate the clinical efficacy of bleomycin injection in the treatment of laryngopharyngeal haemangioma in adults and determine factors affecting efficacy. Materials and Methods: The clinical data of 42 adult patients with laryngopharyngeal haemangioma treated by intralesional bleomycin injection were retrospectively analysed to evaluate the clinical efficacy. Two groups (haemangioma reduction <50% and haemangioma reduction ≥50%) were compared to analyse factors affecting efficacy. Results: Seventy-five injections were administered to 42 patients: 34 (34/42 81%) patients with a haemangioma reduction ≥50% and 8 (8/42 19%) with a haemangioma reduction <50%. There was no difference in age, sex, haemangioma shape or number of operations between the two groups, but there was a significant difference in the base area of the haemangioma. Conclusions and Significance: Intralesional bleomycin injection is effective for the treatment of laryngopharyngeal haemangioma in adults. The base area of the haemangioma affects the therapeutic efficacy.

Purpose: Xerostomia commonly occurs in patients who undergo head and neck radiation therapy and can seriously affect patients' quality of life. In this study, we developed a xerostomia prediction model with radiation treatment data using a 3-dimensional (3D) residual convolutional neural network (rCNN). The model can be used to guide radiation therapy to reduce toxicity., Methods and Materials: A total of 784 patients with head and neck squamous cell carcinoma enrolled in the Radiation Therapy Oncology Group 0522 clinical trial were included in this study. Late xerostomia is defined as xerostomia of grade ≥2 occurring in the 12th month of radiation therapy. The computed tomography (CT) planning images, 3D dose distributions, and contours of the parotid and submandibular glands were included as 3D rCNN inputs. Comparative experiments were performed for the 3D rCNN model without 1 of the 3 inputs and for the logistic regression model. Accuracy, sensitivity, specificity, F-score, and area under the receiver operator characteristic curve were evaluated., Results: The proposed model achieved promising prediction results. The performance metrics for 3D rCNN model with contour, CT images, and radiation therapy dose; 3D rCNN without contour; 3D rCNN without CT images; 3D rCNN without the dose; logistic regression with the dose and clinical parameters; and logistic regression without clinical parameters were as follows: accuracy: 0.76, 0.74, 0.73, 0.65, 0.64, and 0.56; sensitivity: 0.76, 0.72, 0.77, 0.59, 0.72, and 0.75; specificity: 0.76, 0.76, 0.71, 0.69, 0.59, and 0.43; F-score: 0.70, 0.68, 0.69, 0.56, 0.60, and 0.57; and area under the receiver operator characteristic curve: 0.84, 0.82, 0.78, 0.70, 0.74, and 0.68, respectively., Conclusions: The proposed model uses 3D rCNN filters to extract low- and high-level spatial features and to achieve promising performance. This is a potentially effective model for predicting objective toxicity for supporting clinical decision making., (Copyright © 2019 Elsevier Inc. All rights reserved.)

Background: There is currently no established standard tissue sampling method for hypopharyngeal cancer. The present study aimed to evaluate the feasibility of esophagogastroduodenoscopy (EGD) for the pretreatment evaluation of hypopharyngeal cancer and the safety of EGD-guided forceps biopsy., Methods: We reviewed nine patients with hypopharyngeal cancer who underwent EGD for the evaluation of tumor extent and tissue biopsy from March 2014 to March 2017 at International St. Mary's Hospital. One experienced endoscopist performed all the EGD procedures in the presence of a head and neck surgeon. The procedure included determining tumor location, extent (presence of pyriform sinus apex involvement), and size, and passing the endoscope through the upper esophageal sphincter. The success rate of tissue sampling was assessed, and procedure-related complications were recorded., Results: All patients were male, with a mean age of 69.9 ± 10.9 years (range 61-69 years). Tissue sampling using biopsy forceps was performed in 6/9 patients (66.7%). No complications related to moderate sedation or biopsy, including post-biopsy bleeding or respiratory distress, were reported. Histologic confirmation was successful in 5/6 patients (83.3%). Upper gastrointestinal lesions were evaluated in 7/9 (77.8%) patients in whom the scope passed through the lesion., Conclusions: EGD and EGD-guided forceps biopsy may be useful for the evaluation of hypopharyngeal cancer extent and tissue sampling, respectively.

Objective: To analyze the clinical characteristics of two groups(vascular classification declines or not in narrow band imaging (NBI) of patients with advanced hypopharyngeal carcinoma after induced chemotherapy, to follow-up and compare the survival differences between the two groups, and to explore the effect of vascular changes on clinical prognosis after induced chemotherapy in patients with advanced hypopharyngeal carcinoma. Methods: Clinical data of 56 patients with advanced hypopharyngeal carcinoma from August 2014 to September 2016 in Beijing Tongren Hospital, Capital Medical University were collected. The patients were divided into two groups according to NBI vascular classification declines or not after induced chemotherapy. The survival of patients and the impact of different factors on the prognosis were retrospectively analyzed. SPSS 24.0 statistical software was used for analysis. Frequency data were compared between the two groups using χ(2) test. Kaplan-Meier method and Cox regression analysis were employed for survival analysis and Log-Rank test was used for inter-group comparison, P< 0.05 was statistically significant. Results: There was significant difference in overall survival rate(OS) between two groups of patients with advanced hypopharyngeal carcinoma after induced chemotherapy ( P< 0.05). Multivariate analysis showed that NBI vascular classification changes after induced chemotherapy was the impact factor for prognosis of advanced hypopharyngeal carcinoma after induced chemotherapy. Conclusion: In addition to recurrence and metastasis, NBI vascular classification changes is the important impact factor for prognosis of advanced hypopharyngeal carcinoma after induced chemotherapy. Patients with NBI vascular classification declines have significant survival benefit. The patients with advanced hypopharyngeal carcinoma should be checked with NBI examination before and after induced chemotherapy. NBI should be included in the routine screening indicators for prognosis of advanced hypopharyngeal carcinoma.

The utility of multimodality molecular imaging for predicting treatment response and survival of patients with hypopharyngeal carcinoma remains unclear. Here, we sought to investigate whether the combination of different molecular imaging parameters may improve outcome prediction in this patient group.Patients with pathologically proven hypopharyngeal carcinoma scheduled to undergo chemoradiotherapy (CRT) were deemed eligible. Besides clinical data, parameters obtained from pretreatment 2-deoxy-2-[fluorine-18]fluoro-D-glucose positron emission tomography/computed tomography (F-FDG PET/CT), dynamic contrast-enhanced (DCE) magnetic resonance imaging (MRI), and diffusion-weighted MRI were analyzed in relation to treatment response, recurrence-free survival (RFS), and overall survival (OS).A total of 61 patients with advanced-stage disease were examined. After CRT, 36% of the patients did not achieve a complete response. Total lesion glycolysis (TLG) and texture feature entropy were found to predict treatment response. The transfer constant (K), TLG, and entropy were associated with RFS, whereas K, blood plasma volume (Vp), standardized uptake value (SUV), and entropy were predictors of OS. Different scoring systems based on the sum of PET- or MRI-derived prognosticators enabled patient stratification into distinct prognostic groups (P <.0001). The complete response rate of patients with a score of 2 was significantly lower than those of patients with a score 1 or 0 (14.7% vs 58.9% vs 75.7%, respectively, P = .007, respectively). The combination of PET- and DCE-MRI-derived independent risk factors allowed a better survival stratification than the TNM staging system (P <.0001 vs .691, respectively).Texture features on F-FDG PET/CT and DCE-MRI are clinically useful to predict treatment response and survival in patients with hypopharyngeal carcinoma. Their combined use in prognostic scoring systems may help these patients benefit from tailored treatment and obtain better oncological results.