A Case Report of AFP-producing Primary Lung Squamous Cell Carcinoma with Significant Therapeutic Effect / 中国肺癌杂志

BACKGROUND@#Primary lung squamous carcinoma that produces alpha-fetoprotein (AFP) is rare and only four related cases have been reported so far. The specific reasons for elevated serum level of AFP and effective treatment regimens for AFP-producing lung squamous carcinoma are not clear. This paper reports the diagnosis and treatment of AFP-producing lung squamous carcinoma so as to provide some references for similar cases in clinical practice.@*METHODS@#The diagnosis and treatment of an AFP-producing lung squamous carcinoma patient admitted to the Shandong Cancer Hospital on October 23, 2020 was retrospectively analyzed, and literatures were reviewed.@*RESULTS@#A 52-year-old male patient was diagnosed as T4N3M0 stage, IIIc right upper lobe lung squamous cell carcinoma with mediastinal lymph node metastasis and multiple metastases in the lung. The main tumor marker was abnormally increased serum AFP. After the rapid progression of two lines chemotherapy, the patient was given anlotinib combined with carrizumab as third-line treatment. The efficacy evaluation reached to partial response (PR) and stable disease (SD) after 2 and 4 cycles of treatment, respectively. The treatment regimen was replaced with albumin paclitaxel plus carrizumab due to gastrointestinal bleeding after the fifth cycle. The patient's condition was under continuous control.@*CONCLUSIONS@#The AFP-producing lung squamous carcinoma patient had a good response to anlotinib and immunotherapy in the case report, which may provide some guidances for the clinical practice and the research on AFP-producing lung squamous carcinoma.

Nonlocaly Multi-Morphological Representation for Image Reconstruction From Compressive Measurements.

A novel multi-morphological representation model for solving the nonlocal similarity-based image reconstruction from compressed measurements is introduced in this paper. Under the probabilistic framework, the proposed approach provides the nonlocal similarity clustering for image patches by using the Gaussian mixture models, and endows a multi-morphological representation for image patches in each cluster by using the Gaussians that represent the different features to model the morphological components. Using the simple alternating iteration, the developed piecewise morphological diversity estimation (PMDE) algorithm can effectively estimate the MAP of morphological components, thus resulting in the nonlinear estimation for image patches. We extend the PMDE to a piecewise morphological diversity sparse estimation by using the constrained Gaussians with the low-rank covariance matrices, to gain the performance improvements. We report the experimental results on image compressed sensing in the case of sensing nonoverlapping patches with Gaussian random matrices. The results demonstrate that our algorithms can suppress undesirable block artifacts efficiently, and delivers reconstructed images with higher qualities than other state-of-the-art methods.