Objectives Sarcopenia and systemic inflammation can affect survival of advanced‐stage oral squamous cell carcinoma (OSCC) patients; however, their reciprocal associations with survival outcomes are yet to be investigated. Study Design Retrospective review at a tertiary cancer center. Methods Patients with stage III‐IVB OSCC that underwent surgery and (chemo)radiotherapy at our institution between 2010 and 2015 were reviewed. Skeletal muscle index (SMI) was assessed using computed tomography scans at the C3 vertebra. Sarcopenia was defined at the lowest sex‐specific tertile for SMI. Systemic inflammation was estimated using the modified Glasgow prognostic score (mGPS), which ranges from 0 to 2 based on serum C‐reactive protein and albumin levels. The predictors of overall survival (OS) were evaluated using Cox regression models. Results A total of 174 patients were included in the study. The cut‐off values for sarcopenia were set at SMI <52.4 cm2/m2 (men) and < 36.2 cm2/m2 (women) corresponding to the lowest sex‐specific tertile. An mGPS 1–2 was independently associated with sarcopenia (odds ratio: 2.05; 95% confidence interval: 1.06–3.97; P = .03). On multivariate analysis for OS, sarcopenia and mGPS 1–2 independently predicted OS (hazard ratio: 2.12; 95% confidence interval: 1.17–3.85; P = .01 and hazard ratio: 7.85; 95% confidence interval: 3.7–16.65; P < .001, respectively). Patients with both sarcopenia and mGPS 1–2 (vs. neither) had worse OS (hazard ratio: 16.80; 95% confidence interval: 6.01–46.99; P < .001). Conclusions Sarcopenia and systemic inflammation may exert a negative synergistic prognostic impact in advanced‐stage OSCC patients. Level of Evidence 4 Laryngoscope, 131:E1530–E1538, 2021

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After major surgery, patients treated with IMRT had less toxicity and better functional restoration than those with 2DRT. IMRT and 3DCRT both showed lower dose to the spinal cord than did 2DRT. Only IMRT showed reduced dose to ileocolic flap.

Rationale: The diagnosis of anaplastic lymphoma kinase (ALK)-negative inflammatory myofibroblastic tumors (IMT) remains challenging because of their morphological resemblance with spindle cell sarcoma with myofibroblastic characteristics. Patient concerns: A 69-year-old female patient presented with loco-regional recurrent IMT several times within 8 years after primary treatment and neck lymph node metastasis 3.5 years after last recurrence. Diagnosis: The primary, recurrence, and lymph node metastasis lesions were diagnosed as ALK-negative IMTs based on the histopathological features. Interventions: Biopsy samples were obtained during repeated surgeries and evaluated for genomic alterations during first and recurrent presentations. The evaluation was done using pathway-driven massive parallel sequencing, and genomic alterations between primary and recurrent tumors were compared. Outcomes: Copy number gains and overexpression of mouse double minute 2 homolog (MDM2) and cyclin dependent kinase 4 (CDK4) were observed in the primary lesion, and additional gene amplification of Discoidin Domain Receptor Tyrosine Kinase 2 (DDR2), Succinate Dehydrogenase Complex II subunit C (SDHC), and thyroid stimulating hormone receptor (TSHR) Q720H were found in the recurrent tumors. Metastases to the neck lymph node were observed 3.5 years after recurrence. Lessons: Our results indicated genetic evolution in a microscopically benign condition and highlighted the importance of molecular characterization of fibro-inflammatory lesions of uncertain malignant potential.

According to the opinions of specialized doctors, being able to accurately make diagnosis with both the regions and types of stroke is very important, and with these information available, only then medical treatments can be applied properly. However, for any delay treatment or misdiagnosis, it is very likely as the key attributed to the fatal death of the patients. Currently, there are a lot of researches on the development of many methods with application of MRI for diagnosis of brain stroke out there already. However, in this paper, CT image is used to diagnosis brain stroke. And, we use laws' mask to extract texture feature on the CT image, and further to input them into our proposed iterative Fuzzy LDA (iFuzzyLDA) method for classification. Next, we will make classification of four different features (stroke, CSF, gray and white matter), as well as to put a link among them, in order to get better accuracy for diagnosis. Experimental result shows our method has a good accuracy, and be able to precisely help the doctors for marking out the regions of brain stroke. In addition, it can be verified that the accuracy rate of our method is up to 90% through object-level consistency error (OCE) method. 