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INNOSC Theranostics and
            Pharmacological Sciences                                                     Theranostics in neurosurgery





































            Figure 3. Intraoperative consultation pipeline for histological diagnosis in tumor resection.

            study involving SRH and multiple forms of neoplasms, but   neurosurgeons, which still  shows  a significant benefit
                                                                          [68]
            few other studies have additionally assessed this.  of utilization . Overall, these recent advances suggest
                                                               that machine learning within neurosurgery could play a
            4.3. Confocal laser endomicroscopy (CLE)           significant role in theranostics and IOC.
            In a study by Izadyyazdanabadi et al., CLE was assessed
            as a mode of imaging, similarly paired to DCNN . The   5. Electrical stimulation in CP
                                                    [68]
            architecture of CLE involves a pen-sized device operated   CP is a group of neurological disorders that affect muscle
            by the surgeon during a procedure requiring fluoroscopy   tone, movement, and coordination; it is the most common
            for image generation . This process occurs in real-time   cause  of  motor  disability  in  children . Historically,  the
                             [63]
                                                                                             [72]
            at a speed of 0.8 – 1.2 frames/s, as the surgeon navigates   diagnosis, prognosis, and management of CP have been
            the nervous system. Further, these images can be adjusted   challenging; however, with recent advances in technology,
            in both depths without requiring resection, which is   different treatments are becoming increasingly available.
            also controlled by the surgeon. There are two relevant   One such paradigm of treatment is through the use of
            disadvantages to using this imaging modality. First, as with   electrical stimulation, which has emerged as a particularly
            any fluorophore dependency, there is a possibility of ROS   effective mode of therapy for patients with CP, mirroring the
            production and damage to cellular structures [69,70] . Second,   success seen with other neuromuscular conditions. Within
            pertaining to CLE, the rapid generation of images creates a   the scope of electrical stimulation, there are a few types that
            barrier in itself, as the interpretation and diagnosis of such   have predominated academic and clinical interest over the
            images is a demanding task. Another limitation of CLE   past decade, such as functional electrical stimulation (FES)
            is its design – the motion in addition to blood flow and   and transcranial direct current stimulation (tDCS); both
            indiscernible tissue features ultimately produces images   have shown efficacy in improving muscle function and
            that are impractical for diagnosis. These images were   movement. Along the theme of theranostic application,
            described by Izadyyazdanabadi  et al. as non-useful and   a notable benefit of utilizing electrical stimulation is its
            occurred in nearly half of the 20,000 images generated in an   direct connection to the standard metric and methods
            in vivo application of CLE for intracranial neoplasms . The   used diagnostically to uncover and track the progression
                                                     [71]
            DCNN model applied by Izadyyazdanabadi et al. displayed   of neurological diseases, such as CP. This is congruent
            a tumoral diagnostic accuracy of 85% in comparison to a   with the current drive within research to develop real-time
            75% and 67% accuracy, based on interpretations by two   biofeedback systems that can help patients during therapy,


            Volume 6 Issue 2 (2023)                         7                         https://doi.org/10.36922/itps.417
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