TABLE 1.

The applications of novel polymeric nanoagents in cancer diagnosis.

Types	Conjugation	Imaging techniques	Indications	Advantages	Ref
Fol-cht-based polymer	Technetium-99m	SPECT/CT	Folate receptor-overexpressed cancers	Targeting to folate receptor-overexpressed cancer cells	Polyak et al. (2014)
Fol-cht-based polymer	Magnetic PLGA	MRI	Oral cancer cells	Providing SPIONs delivery, further shortening T2 relaxation time and enhancing nanoparticle relaxivity	Shanavas et al. (2017)
Fol-cht-based polymer	5-ALA	Performing 5-ALA-based PDD	Oral cancer, CIN, prostate cancer, glioblastoma	Increasing the uptake of 5-ALA, the accumulation of PpIX fluorescence and facilitating the photodynamic detection	Yang et al. (2013); Babic et al. (2018); Casas, (2020); Xu et al. (2021)
SPNs	TPP	NIR	Various cancers	Producing shifted NIR luminescence, allowing the in vivo tiny cancer imaging via sensing low oxygen	Cui et al. (2018)
SPNs	AF	PA	Various cancers	Generating stronger PA signal and improving photodiagnostic efficacy	Li et al. (2018)
SPNs	RBC	PA	Various cancers	Enhancing NIR light absorption and photostability	Zheng et al. (2020)
HA	ICG	NIR	Prostate cancer	Augmenting optical stability and reducing systemic toxicity	Souchek et al. (2018)
BSA	ICG	NIR-I	Cervical cancer, neuroblastoma	Producing strong NIR-I fluorescence emission	Ma et al. (2021); Clutter et al. (2022)
PSMA	ICG	NIR	Cervical cancer	Improving the chemical stability and biocompatibility	Chen et al. (2021)
PLGA	ICG	NIR	Cervical cancer	Enhancing the NIR stability and internalization, reducing cytotoxicity	Choi et al. (2021)
PEG	ICG	NIR	Various cancers	Showing more sensitive imaging and strong targeting ability	Wang et al. (2022b)
PNMs	ICG	NIR	Various cancers	Inhibiting ICG leakage and indicating favorable biocompatibility	Hsu et al. (2020)
PAH	ICG	NIR	Ovarian cancer	Enhancing the fluorescence stability and targeting ability	Bahmani et al. (2014)
PCL	ICG	NIR, X-ray	Various cancers	Boosting the fluorescence stability, and having minimized adverse effects on the surrounding tissues	Gorecka et al. (2022)