2020
DOI: 10.1002/smtd.202001025
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Imaging Beyond Seeing: Early Prognosis of Cancer Treatment

Abstract: Assessing cancer response to therapeutic interventions has been realized as an important course to early predict curative efficacy and treatment outcomes due to tumor heterogeneity. Compared to the traditional invasive tissue biopsy method, molecular imaging techniques have fundamentally revolutionized the ability to evaluate cancer response in a spatiotemporal manner. The past few years has witnessed a paradigm shift on the efforts from manufacturing functional molecular imaging probes for seeing a tumor to a… Show more

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Cited by 16 publications
(14 citation statements)
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“…Support of evidence-based medicines and the use of artificial intelligence in medical imaging analysis could help in addressing these challenges. 139…”
Section: Basic Mechanismsmentioning
confidence: 99%
“…Support of evidence-based medicines and the use of artificial intelligence in medical imaging analysis could help in addressing these challenges. 139…”
Section: Basic Mechanismsmentioning
confidence: 99%
“…Nowadays, cancer is still the chief cause of premature death worldwide despite the rapid development of medical technology. , For delivering anticancer therapeutics more efficiently, nanocarriers have been developed to target tumors through the enhanced permeability and retention (EPR) effect and tumor-binding ligands. However, due to the various biological and pathological barriers in vivo, the tumor delivery efficiency is still at low levels, resulting in the clinical translation of nanocarriers being in its infancy. , …”
Section: Introductionmentioning
confidence: 99%
“…However, traditional therapies are only effective for some early malignant tumors [27][28][29], and the main reasons for eventual failure of tumor treatment are metastasis [30], recurrence [31], heterogeneity [32], chemotherapy resistance [33], and avoidance of immune surveillance [34]. Chemotherapy is mainly achieved by using chemotherapeutic drugs to kill cancer cells [35,36].…”
Section: Introductionmentioning
confidence: 99%