A stable and reproducible rat injury model is not currently available to study central
diabetes insipidus (CDI) and the neurohypophyseal system. In addition, a system is needed
to assess the severity of CDI and measure the accompanying neurobiological alterations. In
the present study, a 3D-printed lesion knife with a curved head was designed to fit into
the stereotaxic instrument. The neuro-anatomical features of the brain injury were
determined by in vivo magnetic resonance imaging (MRI) and arginine
vasopressin (AVP) immunostaining on brain sections. Rats that underwent pituitary stalk
electrical lesion (PEL) exhibited a tri-phasic pattern of CDI. MRI revealed that the
hyperintenseT1-weighted signal of the pituitary stalk was interrupted, and the brain
sections showed an enlarged end proximal to the injury site after PEL. In addition, the
number of AVP-positive cells in supraoptic nucleus (SON) and paraventricular nucleus (PVN)
decreased after PEL, which confirmed the success of the CDI model. Unlike hand-made tools,
the 3D-printed lesion knives were stable and reproducible. Next, we used an ordinal
clustering method for staging and the k-means’ clustering method to construct a CDI index
to evaluate the severity and recovery of CDI that could be used in other multiple animals,
even in clinical research. In conclusion, we established a standard PEL model with a
3D-printed knife tool and proposed a CDI index that will greatly facilitate further
research on CDI.