Researchers all around the world are working tirelessly to develop successful targeted
nanotheranostics for cancer diagnosis and treatment [1e3]. In recent years, nanomedicine researchers have facilitated the production of “smart” nanocarriers or nanotheranostics, which comprise nanovehicles that simultaneously transport medications and
act as imaging agents in a single system [4,5]. This technology improves the monitoring of drug biodistribution. It also offers flexibility in analyzing target site accumulation of nanomedicines, allows the quantification and visualization of triggered drug
release from nanomedicines [6]. The tailored nanomedicines-based chemotherapeutic
interventions available today have been effective in enhancing the patient compliances. The uses of nanomaterials have generated interest in their potential, such as
the incorporation of radionuclides with conventionally used nanomaterials to impart
new traits for the purpose of cancer diagnosis and treatment [7,8]. Researchers have
made the uses of nanoparticles to emit ionizing radiation in therapeutic settings for
the purposes of diagnostics as well as theranostics [9,10]. The success of
nanoparticle-mediated radionuclide therapy is linked to their ability to provide the targeted administration of ionizing radiation for a set amount of time for curative or palliative treatments as well as in a theragnostic approach. The composition of
nanomedicines may differ from one another. Various nanomedicines can be classified
as biodegradable polymers (i.e., chitosan, dextran, phospholipids, polylactic acid,
polylactic-co-glycolide, etc.), carbon-based (i.e., graphene, nanotubes etc.), metallic
(i.e., metal oxides, sulfides, etc.), and semiconductors (i.e., quantum dots [QDs])
[11,12]. Because of unique physicochemical features, theranostics are being investigated not only as drug-delivery nanocarriers but also as synthetic scaffolding for imaging probes used in cancer diagnosis [1,3]. The applications and biopharmaceutical
performances of these nano-based systems are highly influenced by features like chemical compositions (such as metallic, polymeric, lipid-based and carbon-based)
(Fig. 13.1), surface characteristics (such as charge and hydrophobicity), physical characteristics (such as size, shape, and stiffness), and surface functionalizations.