Most cases of intravascular large cell lymphoma are of B-cell phenotype, with a few cases of T-cell lineage and rare cases with histiocytic features described. A definitive natural killer (NK) cell variant has not been recognized. This report is the first to describe the clinical, histologic, immunophenotypic, and molecular features of 2 cases of intravascular lymphoma with an NK cell phenotype (CD3epsilon+, CD2+, CD7+, CD56+, T-cell intracytoplasmic antigen-1+, perforin+, granzyme B+, CD20-, CD4-, CD5-, CD8-, T-cell receptor [TCR]betaF1-). Molecular studies for TCR gene rearrangements revealed a germline configuration. A 41-year-old man had erythematous plaque-like subcutaneous lesions of the lower extremities in which biopsy revealed Epstein-Barr virus-positive intravascular lymphoma. Following chemotherapy and stem cell transplantation, he was alive with no evidence of disease at 1 year. A 47-year-old woman had myalgias, arthralgias, weakness, fever, altered mental status, and pancytopenia. Bone marrow biopsy demonstrated intravascular lymphoma. Therapy was initiated; however, her condition deteriorated rapidly, and she died. Autopsy revealed involvement of multiple organs, including brain, kidneys, ovaries, and bone marrow. These cases represent the first documented examples of an NK cell variant of intravascular lymphoma.

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This paper proposes a Barker coded excitation for defect detection using infrared non-destructive testing. Capability of the proposed excitation scheme is highlighted with recently introduced correlation based post processing approach and compared with the existing phase based analysis by taking the signal to noise ratio into consideration. Applicability of the proposed scheme has been experimentally validated on a carbon fiber reinforced plastic specimen containing flat bottom holes located at different depths.

This letter proposes an optimal nondestructive subsurface defect detection method to investigate the capabilities of the infrared thermography through a finite-element analysis-based model. A finite-element analysis (FEA) software was used to generate models and analysis was carried out using MATLAB software. Pulse compression approach has been introduced for subsurface defect detection and its advantages and limitations are compared with existing phase approach-based thermography. Investigations has been carried out on a simulated plain carbon steel specimen with a flat bottom hole defects at various depths of different diameters is introduced. Comparison has been made with the conventional phase-based techniques.

Phase-based methods of active thermographic studies provide deeper subsurface details and reduce non-uniform emissivity problems in defect detection. In this contribution analysis of subsurface anomalies has been carried out by probing a suitable frequency component with sufficient energy. This paper highlights the comparative analysis of different thermographic schemes on the basis of supplying equal energy to the chosen frequency used for the analysis of a given carbon fiber-reinforced plastic sample used in experimentation. Experiments have been carried out to find the detection ability of different excitation schemes, and comparisons have been made by taking the signal-to-noise ratio of the defects into consideration.