Nat. Rev. Clin. Oncol. doi: /nrclinonc

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Nat. Rev. Clin. Oncol. doi: /nrclinonc
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Figure 3 Response after appearance of a new lesion
Nat. Rev. Clin. Oncol. doi: /nrclinonc
Figure 5 Mutational heterogeneity in oesophageal and gastric cancer
Figure 1 Concept of the therapeutic index
Figure 4 Example of PK/PD simulation to optimize a vinorelbine treatment regimen Figure 4 | Example of PK/PD simulation to optimize a vinorelbine treatment.
Figure 2 Multiscale modelling in oncology
Figure 5 Schematic illustration of different clinical trial designs
Nat. Rev. Clin. Oncol. doi: /nrclinonc
Nat. Rev. Clin. Oncol. doi: /nrclinonc
Nat. Rev. Clin. Oncol. doi: /nrclinonc
Nat. Rev. Clin. Oncol. doi: /nrclinonc
Nat. Rev. Clin. Oncol. doi: /nrclinonc
Nat. Rev. Clin. Oncol. doi: /nrclinonc
Figure 2 Copy-number variations in multiple myeloma
Figure 5 Identification of mucinous carcinoma
Nat. Rev. Clin. Oncol. doi: /nrclinonc
Figure 1 Underreporting of treatment-related toxicities by physicians, relative to patients with either advanced-stage lung cancer, or early-stage breast.
Figure 2 Therapeutic targeting of the PI3K/AKT/mTOR pathway
Figure 1 Proposed treatment algorithm for advanced gastroesophageal cancer based on publish recommendations Figure 1 | Proposed treatment algorithm for.
Nat. Rev. Clin. Oncol. doi: /nrclinonc
Figure 4 Example of a patients with CUP
Figure 1 CAR-T-cell design
Figure 2 Examples of histopathological validation
Figure 4 Effects of delaying cardioprotective medications after anthracycline administration Figure 4 | Effects of delaying cardioprotective medications.
Figure 1 Cost of one month of treatment with
Figure 2 The association between CD8+ T‑cell density of the tumour
Nat. Rev. Clin. Oncol. doi: /nrclinonc
Nat. Rev. Clin. Oncol. doi: /nrclinonc
Nat. Rev. Clin. Oncol. doi: /nrclinonc
Nat. Rev. Clin. Oncol. doi: /nrclinonc
Figure 3 Drug cycling with collateral sensitivity
Nat. Rev. Clin. Oncol. doi: /nrclinonc
Nat. Rev. Clin. Oncol. doi: /nrclinonc
Figure 2 Differences between MC and AC
Figure 3 Possible modalities for reconciliation of patient's and physician's report of symptomatic treatment-associated toxicities Figure 3 | Possible.
chemotherapy for patients with MC versus those with AC
Nat. Rev. Clin. Oncol. doi: /nrclinonc
Figure 1 NIR fluorescence is more suitable for
Figure 1 Critical signalling pathways involved in PDAC pathogenesis
Figure 2 Nonmalignant tissue can be spared from radiation
Figure 4 Treatment plans using stereotactic body radiotherapy (SBRT)
Nat. Rev. Clin. Oncol. doi: /nrclinonc
Figure 3 Summary of overall survival by Kaplan–Meier
Figure 3 Clinical trial design in charged-particle therapy (CPT)
Nat. Rev. Clin. Oncol. doi: /nrclinonc
Figure 2 Median monthly launch price of a new anticancer drug,
Figure 1 Translocations involved in multiple myeloma
Nat. Rev. Clin. Oncol. doi: /nrclinonc
Figure 3 Challenges for big data applications in cardiovascular care
Figure 5 Palliative-care-referral patterns
Figure 2 The imaging biomarker roadmap
Figure 2 Frequency and overlap of alterations
Nat. Rev. Clin. Oncol. doi: /nrclinonc
Figure 2 Variations between planned and delivered doses of radiation
Figure 3 Tumours secrete factors that cause systemic immunosuppression
Figure 5 Schematic overview of a clinical decision-support
Nat. Rev. Clin. Oncol. doi: /nrclinonc
Figure 7 Overview of the methodological processes for
Nat. Rev. Clin. Oncol. doi: /nrclinonc
Figure 4 Radiogenomics analysis can reveal relationships
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Figure 1 Overview of the imaging biomarker roadmap
Figure 6 Schematic diagram of the CAT system
Figure 3 Determination of the primary site
Figure 1 Gene-expression quantification methods
Nat. Rev. Clin. Oncol. doi: /nrclinonc
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Nat. Rev. Clin. Oncol. doi:10.1038/nrclinonc.2017.141 Figure 1 Flowchart depicting the workflow of radiomics and the application of the RQS Figure 1 | Flowchart depicting the workflow of radiomics and the application of the RQS. The workflow includes the necessary steps in a radiomic analysis. The RQS both rewards and penalizes the methodology and analyses of a study, consequently encouraging the best scientific practice. RSQ, radiomics quality score; VOI, volume of interest. Lambin, P. et al. (2017) Radiomics: the bridge between medical imaging and personalized medicine Nat. Rev. Clin. Oncol. doi:10.1038/nrclinonc.2017.141