We consider the stochastic differential equation
$X_t = X₀ + ∫_0^t (A_s + B_s X_s)ds + ∫_0^t C_s dY_s$,
where $A_t$, $B_t$, $C_t$ are nonrandom continuous functions of t, X₀ is an initial random variable, $Y = (Y_t, t ≥ 0)$ is a Gaussian process and X₀, Y are independent. We give the form of the solution ($X_t$) to (0.1) and then basing on the results of Plucińska [Teor. Veroyatnost. i Primenen. 25 (1980)] we prove that ($X_t$) is a quasi-diffusion proces.