Background: Chronic lymphocytic leukemia (CLL) affects lymphoid cells and has a
different chronic course. Some patients die due to the rapid progression of disease
despite therapeutic measures. Therefore, it is necessary to identify, predict the disease,
and seek new therapeutic strategies.
Introduction: Fractal geometry can be introduced as one of the most efficient methods
to study the control of CLL in this type of cancer. The present research, presenting an
appropriate model for investigating the possibility of CLL control using the fractal
parameter.
Method: First, blood samples of the 30 healthy and 30 CLL samples with leukemia
undergoing treatment were selected randomly. Second, the digital images were
prepared using an optical microscope with a magnification of X100. Next, the fractal
dimension of the lymphocyte nucleus of healthy and leukemia undergoing treatment
was calculated using fractal software. Finally, the results were analyzed, and the fractal
parameter of Neoplastic lymphocytes detection (λnld) was introduced and was
calculated.
Result: The probability of CLL development increases with an increase in fractal
parameter of Neoplastic lymphocytes detection (λnld). If the λnld value decreases during
the CLL treatment, then the CLL was controlled. Full recovery occurs when λnld is
smaller than the unit.
Conclusion: The average fractal dimension of the healthy lymphocytes and CLL
nucleus and the fractal parameter of Neoplastic lymphocytes detection (λnld) in this research were 1.781992 ± 0.046178, 1.801322 ± 0.042357 and 0.21833 respectively.
Because the λnld is smaller than the unit, the full recovery occurs for this therapeutic
group
Keywords: B-CLL, Chronic, Computer-Assisted, Dimension, Fractals, Fractal
Parameter of Neoplastic Lymphocytes Detection (λnld), Image Processing,
Leukemia, Lymphocytic, Microscopy, Neoplasms, Recovery Process, Software.
