Skip to main content
Scientific Reports logoLink to Scientific Reports
. 2018 Feb 13;8:2889. doi: 10.1038/s41598-018-21178-3

Hydrophilic fluorinated molecules for spectral 19F MRI

Eric A Tanifum 1,2,, Chandreshkumar Patel 1,5, Matthew E Liaw 3, Robia G Pautler 2,4, Ananth V Annapragada 1,2
PMCID: PMC5811496  PMID: 29440665

Abstract

Fluorine-19 (19F) Magnetic Resonance Imaging (MRI) is an emerging modality for molecular imaging and cell tracking. The hydrophobicity of current exogenous probes, perfluorocarbons (PFCs) and perfluoropolyethers (PFPEs), limits the formulation options available for in vivo applications. Hydrophilic probes permit more formulation flexibility. Further, the broad Nuclear Magnetic Resonance (NMR) chemical shift range of organofluorine species enables multiple probes with unique 19F MR signatures for simultaneous interrogation of distinct molecular targets in vivo. We report herein a flexible approach to stable liposomal formulations of hydrophilic fluorinated molecules (each bearing numerous magnetically equivalent 19F atoms), with 19F encapsulation of up to 22.7 mg/mL and a per particle load of 3.6 × 106 19F atoms. Using a combination of such probes, we demonstrate, with no chemical shift artifacts, the simultaneous imaging of multiple targets within a given target volume by spectral 19F MRI.

Introduction

There has been a surge in interest in 19F MRI as a molecular imaging and cell tracking modality, driven in part by advances in MR technology including improvement in radiofrequency (RF) coil design, the development of dual 19F/1H imaging, and advanced scan protocols1. The gyromagnetic ratio of fluorine (40.08 MHz.T−1) is very close to that of the proton (42.58 MHz.T−1). So, current 1H MRI instruments require minimal hardware upgrades to acquire 19F-based images1,2. Further, there is no MRI-detectable endogenous 19F in soft tissue, leading to images with very high signal-to-noise ratio (SNR). The signal intensity from a 19F MR image unlike that from a conventional 1H MR T1 contrast agent such as Gadolinium, is directly proportional to contrast concentration, allowing direct and unambiguous quantification of disease activity3,4.

In spite of its potential to revolutionize molecular imaging, success with this modality has been primarily in the area of cell tracking. This can be attributed in part to challenges in the design and formulation of new probes suitable for other in vivo applications. For instance, a large number of l9F atoms (generally high micromolar to milimolar concentrations)1, are required in each voxel of the target volume to enable high conspicuity in 19F MRI. Different approaches have been explored to address this limitation. The design and clinical applications of the most advanced amongst them (including emulsions of PFCs and PFPEs, hyperfluorinated molecules such as PERFECTA, fluorodendrimers and perfluorinated amphiphiles), were recently reviewed by Tirotta et al.5. Based on the review, PFC and PFPE dominate the preclinical/clinical space. This can be expected given the high percentage 19F atoms in these molecules. However, they are highly hydrophobic, limiting formulation to water emulsions. These emulsions generally require the extensive use of surfactants, have limited shelf stability, low biocompatibility and degradability6. Furthermore, most of these molecules have magnetically diverse fluorine atoms resulting in chemical shift artifacts and diffuse 19F MR images7.

Organofluorine molecules have a chemical shift range of >350 ppm5 and a novel technique introduced by Goette et al.8 showed that an excitation bandwidth of just 1–2 kHz is adequate to separately image complex 19F spin systems with high SNR. These suggest a theoretical possibility of developing a series of as many as 30 organofluorine probes with unique MR signatures. From this, one can envision interrogating different aspects of the heterogeneous pathological makeup of diseases (such as cancer9 or Alzheimer’s disease10), in a single imaging session by administering a cocktail of such probes targeted to each aspect of the pathology. A readout on the location and concentration of each probe can then be obtained by performing 19F MRI scans with the excitation pulse centered at its resonance frequency on the 19F NMR spectrum of the mixture.

The liposome nanoparticle platform, with the capacity to carry >1,000,000 hydrophilic fluorinated molecules in the aqueous interior of each particle, is well suited to test this hypothesis because of its intrinsic advantage as a nanovector11. As proof-of-concept, we designed, synthesized, and characterized four hydrophilic non-ionic fluorinated molecules ET0863, ET0876, ET0886, and ET090, each bearing magnetically equivalent 19F atoms. These were formulated into stable liposomes and tested as a new class of contrast agents for spectral 19F MRI. We demonstrated, using in vitro phantoms as well as subcutaneous and intramuscular deposits of these formulations that they can be selectively imaged within a target volume even in the presence of the widely used inhalable fluorinated anesthetic, isoflurane, without any interference or chemical shift artifacts.

Results

The molecular design employed fragments of two non-ionic hydrophilic molecules (glycerol and glucose), and ‘click’ chemistry12, as the key synthetic step to couple them to the fluorinated species. The basic requirement for the fluorinated moiety was to have magnetically equivalent 19F atoms (in order to have a single NMR resonance frequency) per molecule to generate a strong and sharp 19F MRI signal. Preliminary evaluation of some commercially available organofluorine starting materials at 9.4 T, suggested a minimum peak separation of ~12 ppm between the resonance frequencies of individual species, to generate an image of each without any chemical shift artifacts. The 3,5-bis(trifluoro)phenyl-, trifluoroacetyl-, 1,2-bis(difluoro)methylene-, and disubstituted 2,3,5,6-tetrafluorophenyl- groups showed adequate resonance frequency separation and were selected for the study. Precursors of both the fluorinated and hydrophilic moieties were introduced in the late stage of the synthesis as preformed scaffolds (Fig. 1a) of either the azido or alkynyl derivative. Coupling of the respective hydrophilic and fluorinated moieties followed by deprotection to obtain the final compounds (Fig. 1b) all proceeded with excellent yields, and were optimized to generate gram quantities of each compound. All intermediates and final compounds were characterized by 1H and 13C NMR, HRMS, and 19F NMR (where applicable).

Figure 1.

Figure 1

Synthetic routes to intermediates and the final molecules. (a) Synthesis of precursors of hydrophilic and fluorinated moieties. (b) “Click” reactions to couple fragments and subsequent deprotection to obtain desired hydrophilic fluorinated molecules.

As shown in Fig. 2a, all final products were obtained as solids at room temperature and readily dissolved in aqueous media (water, saline, PBS, and histidine/saline buffers), to give clear solutions (Fig. 2b). 19F NMR of the solutions each gave a single peak: −75.90, −121.57, −143.39 and −62.65 ppm for ET0863, ET0876, ET0886 and ET0890 respectively (Fig. 2c). The single peaks indicate both the magnetic and chemical purity of each compound (estimated overall chemical purity >95%). 19F MR images of phantoms of these solutions showed no chemical shift artifacts as expected (Fig. 2d).

Figure 2.

Figure 2

Physical and magnetic resonance properties of compounds. (a) All compounds are obtained as solids at room temperature. (b) All compounds dissolve in aqueous media to give clear solutions suitable for liposome formulation at room temperature. (c) 19F NMR spectra of each compound gives a single peak indicative of its magnetic and chemical purity. (d) 19F MRI obtained with a MSME scan protocol (Excitation bandwidth = 2000 Hz, TR = 2000 ms, TE = 8.95 ms, scan time = 10 min 40 s) of phantoms show single sharp image for each solution.

Stability testing in plasma at 37 °C showed that ET0863 liposomes leaked more than 5% of their content within a 1.5 hour test period, and were excluded from subsequent experiments. ET0876, ET0886, and ET0890 liposomes all showed less than 5% leak, and were retained for subsequent experiments. Table 1 shows the mean particle size, total lipid concentration, and the 19F content of each formulation. Assuming a lipid bilayer thickness of 4 nm, the total particles/mL and the total 19F atoms per particle were also estimated for each formulation based on the total encapsulated volume.

Table 1.

Characteriztion of liposome formulations.

Liposome Formulation Mean Particle Diameter (nm) Polydispersity Index (PDI) [Total Lipid] (mM) [19F]
(mg/mL)
Est. Number of Particles/mL 19F
Atoms/Particle
Plasma Leak
ET0876 164.8 ± 1.2 0.10 ± 0.04 142.7 ± 1.5 22.7 ± 1.4 2.0 × 1014 3.6 × 106 <5%
ET0886 166.7 ± 3.6 0.08 ± 0.07 142.6 ± 1.7 21.9 ± 0.3 2.0 × 1014 3.5 × 106 <5%
ET0890 166.3 ± 7.1 0.10 ± 0.04 133.1 ± 1.0 16.6 ± 1.7 1.9 × 1014 1.4 × 106 <5%

Data are represented as mean value ± SD.

19F MRI scans were perfomed on phantoms of each neat formulation (Fig. 3a), using similar scan parameters as in the solution phantoms (data rendered in pseudo-color, Fig. 3b). 19F signal was recorded, with Signal to Noise Ratio (SNR) of 38, 25, and 23 for ET0876, ET0886, and ET0890 formulations respectively. Dilution studies (Fig. 3c), showed that solutions of each formulation with as low as 2.5 × 1013 particles/mL were detectable by 19F MRI. A plot of the SNR against particle concentration (Fig. 3d), exhibited a linear relationship for each formulation. Relaxation times T1 and T2 (Fig. 3e) were determined for each neat formulation and diluted samples (using similar scan parameters as reported by Tirotta et al.13).

Figure 3.

Figure 3

Properties of liposome formulations (a) Stable formulations of particles with low polydispersity. (b) Pseudocolored 19F MRI signal of phanthoms from each formulation obtained with a 19F MSME (Excitation bandwidth = 2000 Hz, TR = 2000 ms, TE = 8.95 ms, scan time = 10 min 40 s) scan protocol. (c) Dilution studies on each formulation suggest a signal with SNR > 4 can be obtained from each at over 5 fold dilution. (d) Plot of SNR against concentration shows linearity. (e) T1 and T2 relaxation times for neat formulations and dilutions thereof. Data are represented as mean value ± SD.

To evaluate the potential of these formulations as probes for spectral 19F MRI, phantoms of all three were scanned together with a phantom containing the fluorinated inhalable anesthetic, Isoflurane. A single pulse 19F MR resonance frequency sweep (Fig. 4a), showed peaks corresponding to all the fluorine species in the phantoms: ET0890 (one peak), Isoflurane (two peaks), ET0876 (one peak), and ET0886 (one peak). An image from a 1H T2 Rapid Acquisition with Relaxation Enhancement (RARE) scan, representative of an anatomy scan (Fig. 4b), showed the position of each phantom within the bore of the magnet: ET0890 (position 1), Isoflurane (position 2), ET0876 (position 3), and ET0886 (position 4). When the phantoms were subjected to the same 19F MSME scan sequence as above, with the excitation bandwith centered at the highlighted peak position (Fig. 4c), only that phantom generated a visible 19F MR image (shown in pseudo-color, Fig. 4d). An overlay of the 19F image over the 1H image allowed visualization of the exact location of that signal in the entire field of view (Fig. 4e).

Figure 4.

Figure 4

In vitro evaluation of 19F MRI spectral imaging potential of probes. (a) Single pulse 19F MR scan of a set of phantoms comprising the three formulations and Isofluran show resonance frequencies of all fluorine species in the magnet. (b) TurboRARE T2 (TR = 2500 ms, TE = 11 ms, Rare factor = 4, scan time = 5 min 20 s, Matrix size = 64 × 64), 1H MR image of phantoms (1 = ET0890, 2 = Isoflurane, 3 = ET0876, and 4 = ET0886), mimicking anatomy of subject in the bore of the magnet. (c) Single pulse 19F MR scan with resonance frequency of the starred phantom in (a), indicated by the red pointer. (d) 19F MR image following a 19F MSME scan (same scan parameters as in Fig. 3 above), of the selected frequency. The artifact observed in phantom number 2 (Isoflurane) is due to the second Isoflurane peak. (e) Overlay of 19F MR image over 1H MR image of all the phantoms, reports on the exact location of each phantom on the rack.

Preliminary evaluation of imaging using these agents in an in vivo environment was performed. 50 µL of each formulation were injected as follows: intramuscularly (ET0876 in right thigh and ET0890 in the left thigh), and subcutaneously (ET0886 in the abdominal area), in C57BL6 mice (n = 4). Each animal was anesthetized with isoflurane, placed in the magnet, and imaged using the same scan protocol as the phantoms. First, a TurboRARE T2 1H scan, with the lower torso of the animal in the field of view to show the general anatomy (the numbers 1, 2 and 3 indicate the locations in which the probes were administered, Fig. 5a), was performed. When the animal was imaged using the 19F MSME scan sequence with the base frequency set to the resonance frequency of highlighted peak on the Single pulse 19F spectrum (Fig. 5b), only a single 19F signal, corresponding to that peak was generated on the 19F MR image (Fig. 5c). Overlay of the 19F image over the anatomy image showed the exact location of each 19F spot (Fig. 5d). The average SNR of the porobes within the muscle was determined to be about 15 and about 5 for the probe in the subcutaneous space (Fig. 5e). The more diffuse signal and low SNR in the abdominal area was attributed to faster diffusion of the nanoparticles within the subcutaneous space compared to the muscle.

Figure 5.

Figure 5

Evaluation of the spectral 19F MR imaging potential probes in an in vivo environment. (a) TurboRARE T2 1H MR (same scan parameters as in Fig. 4 above) anatomy image of a isoflrane anesthetized mouse injected intramuscularly with formulations ET0876 (right thigh, position 2), and ET0890 (left thigh, position 1), and subcutaneously ET0886 (abdomen, position 3). (b) Single pulse 19F MR scan showing resonance frequencies of 19F species within the subject in the scanner with frequencies of interest highlighted by the red pointer. (c) 19F MR image obtained from a 19F MSME scan protocol (same scan parameters as in Fig. 4 above), of the selected frequency. (d) overlay of 19F MR image over anatomy image reports on location of each probe. (e) SNR of formulations in vivo (n = 4).

Discussion

19F MRI probes have the potential to simultaneously profile multiple molecular species/disease activity and disease sub-types within a target volume. Currently used PFCs and PFPEs lack flexibility in formulation and images often bear chemical shift artifacts due to the presence of non-identical fluorine nuclei on the probe molecules. Several strategies aimed at addressing some of these limitations are under investigation and well documented in a recent review5. Achieving a safely injectable formulation with any of these strategies remains a tall order. Partlow et al. have previously reported the ability to simultaneously track multiple targets in vivo using unique 19F MR signatures of PFC nanobeacons14, the formulation of which have similar limitations as the PFCs and PFPEs.

There is no previous report of hydrophilic fluorinated molecules designed with the goal of solving the formulation problem associated with current 19F MRI probes. Previous attempts at liposome formulations have focused on the use of perfluorofatty acids or sulfonate amphiphiles to incorporate flourine in the bilayer of the particle15,16, or the use of inorganic fluoride17. These approaches suffer from limitted payload capacity. For instance, in a liposome formulation with a mean particle diameter of 150 nm, only a fraction of the ~350,000 total possible molecules in the bilayer (including phospholipids and cholesterol) can be the fluorinated amphiphile. Similarly, the number of water soluble ionic fluorides that can be encapsulated in a liposome is limited by the osmolality of the solution, and potential toxicity of the salt. However, a formulation with a similar particle size distribution and an aqueous interior loaded with nonionic hydrophilic molecules with osmolality of 300 mOsmol/kg can carry ~106 hydrophilic molecules per particle.

Our hydrophilic organofluorine molecules approach employs facile synthetic routes to water-soluble molecules with magnetically equivalent fluorine atoms which generate 19F MRI images with no chemical shift artifacts. When combined with the liposome nanoparticle platform, it can access the broad chemical shift spectrum of organofluorine species, enabling numerous probes with unique 19F MR signatures. Such probes have the potential to enable noninvasive simultaneous visualization of multiple hot spots within the same region of interest by 19F MRI as demostrated in both our phantom and preliminary in vivo assessments of the three formulations.

Isoflurane, the commonly used inhalable anesthesia in small animal studies, is fluorinated, highly lipophilic, and readily absorbed by adipose tissue in vivo. The 19F NMR chemical shifts of its two sets of fluorine nuclei are in the same vicinity as those of most PFCs and PFPEs. These can interfere with any signal from a PFC or PFPE probe, complicating data interpretation. While this problem can be addressed by using non-fluorinated injectable anesthetics such as ketamine and xylazine, these have other problems associated with them including effects on hemodynamics in key organs18 and a more complicated work flow. 19F MRI probes that are not affected by isoflurane are highly desirable. This new approach allows for facile access to such probes.

The Rose criterion suggests a SNR of ~4 is needed to be able to distinguish image features at 100% certainty19. The ET0876 formulation with a 19F content of 22.7 mg 19F atoms/mL, borne on a molecule with a molecular weight of 472.4 g/mol and generates a phantom image with an SNR of 38. Dimers and oligomers of this molecule as well as the others are synthetically accessible, suggesting that an increase in the 19F content of each formulation is feasible (though the number of monomers units per oligomer may be limited by viscosity of the corresponding aqueous solution with increasing molecular weight). Moreover, the dilution studies show that a SNR of >4 is obtained from a 10 minutes scan with as few as 2.5 × 1013 particles/mL of this formulation. This concentration represents an 8-fold dilution of the stock solution or an injection volume of about 250 µL in a 25 g mouse (blood volume ~2 ml), suggesting that these probes may be amenable vascular imaging. The consistently high T2 values (all >100 ms) allow for several echoes per excitation. This explains the exquisite signals obtained with the MSME scan protocol for all three formulations. They also suggest the possibility of applying both 2D and 3D TurboRARE scan protocols to obtain images with high SNR using these formulations and are subject to subsequent investigations.

In summary, readily available hydrophilic molecules and small organofluorine moieties were condensed to generate nonionic hydrophilic fluorinated molecules with unique 19F MR signatures. These were used to fabricate stable liposome formulations, and preliminary evaluation in both in vitro and in vivo environments demonstrate that spectral 19F MRI can be used to report on the location of each probe within the same region of interest without interference from the others or Isoflurane. These results, in addition to the growing interest in 19F MRI molecular imaging suggest that this is an excellent approach to harness the broad chemical shift spectrum of 19F molecular species to generate a myriad of unique probes for 19F MRI. Future efforts will be focused on targeted formulations which can home-in, and report on specific in vivo targets upon intravenous administration. In addition, increased sensitivity on a per particle basis will be sought by utilizing dimers and oligomers of these base molecules.

Materials and Methods

Chemical synthesis and characterization of intermediates and final compounds are described in supplementary information S1.

Preparation of liposomes

A lipid mixture consisting of 1,2-dipalmitoyl-sn-glycero-3-phosphocholine (DPPC), cholesterol, and 1,2-distearoyl-sn-glycero-3-phosphoethanolamine-N-[methoxy (polyethylene glycol)-2000] (DSPE-mPEG-2000) in a molar ratio of 55∶40∶5 was used to make liposomes. The lipid mixture, weighed to result in a final lipid concentration of 150 mM was dissolved in 100% ethanol, at a volume of 10% of desired final volume. The mixture was then warmed in a water bath, maintained at 60–64 °C, to obtain a clear solution. After the lipids had completely dissolved, a pre warmed solution of the desired compound dissolved in histidine/saline buffer (10 mM with no pH adjustment) was added: for ET0863 and ET0876, the concentration of the compound was 1.0 M while for ET0886 and ET0890 the concentrations were 0.8 and 0.5 M respectively. The resulting mixture was incubated at 60–64 °C for 45 min and the spontaneously formed multilamellar liposomes extruded on a Lipex thermoline extruder (Northern Lipids Inc., Canada), beginning with five passes through a 400 nm Nuclepore membrane (Waterman, Newton, MA) followed by eight passes through a 100 nm membrane. The resulting preparation was subjected to diafiltration through a 500 kD membrane (Spectrum Labs, Rancho Dominguez, CA) for 10 volume exchanges to practically eliminate any unencapsulated compound. Mean particle size was determined by Dynamic Light Scattering on a BI-90 goniometer/autocorrelator system at 90° using a 532 nm solid state laser source (Brookhaven Instruments Corp, Holtville, NY), and the final 19F content determined by comparing 19F NMR integrals against a standard solution prepared from analytical grade trifluoroacetic acid (Sigma Aldrich).

Leak Test in Bovine Plasma

The percentage leak in bovine plasma (Sigma-Aldrich, St. Louis, MO) was determined by diluting 70 µL of the liposomal prep in 500 µL of bovine plasma. The solution was then incubated for 90 ± 5 minutes at 37 ± 1 °C. After the incubation was completed, 400 µL of the sample was diluted in 2.4 mL of 0.9% saline. 2 mL of the sample was then transferred into a 10,000 MWCO Vivaspin-2 centricon tube (Sartorius, Bohemia, New York) and centrifuged at 1100 rpm for 15 minutes. The filtrate was then analyzed for fluorine by NMR integration against a standardized trifluoroacetic acid solution. The % leak was determined by comparing the concentration of fluorine that leaked out to the total concentration of fluorine in the formulation.

MRI acquisition and data processing

All MRI scans were performed on a 9.4 T Bruker small animal MR scanner equipped with a 1H/19F dual-tunable volume RF coil (35 mm inner diameter, 50 mm length; Rapid Biomed, Würzburg, Germany), located in the Small Animal Imaging Facility (SAIF) at Texas Children’s Hospital. 19F images of both phantoms and mice were acquired with an MMSE scan protocol (Excitation bandwidth = 2000 Hz, TR = 2000 ms, TE = 8.95 ms, scan time = 10 min 40 s). 1H images were acquired with a TurboRARE T2 scan protocol (TR = 2500 ms, TE = 11 ms, RARE factor = 4, scan time = 5 min 20 s). Mice were anesthetized by exposure to Isoflurane prior to injection of probes and maintained under anesthesia for the duration of the experiment, as well as a temperature of 37 °C using a temperature controlled air-flow system. Dicoms obtained from scans were processed using the OsiriX v.5.8.5 software (Pixmeo SARL, Bernex, Switzerland).

Relaxation times

Relaxation times T1 and T2 were estimate using similar scan sequences and parameters as reported by Tirotta et al.12: For T1 relaxation times, a saturation recovery (RAREVTR) sequence with the following parameters (FOV = 5*5 cm2; Matrix = 32*32; Slices = 14; ST = 0.7 mm; TE = 11 ms; TR = 10000, 5000, 2500, 1500, 800, 400, 200, 100 ms; Rare Factor = 2; BW = 15 kHz; NA = 50; Dummy Scans (DS) = 0). For T2 relaxation times, a Multi Slice Multi Echo (MSME) sequence with the following parameters (FOV = 5*5 cm2; Matrix = 32*32; Slices = 1; Slice Thickness = 10 mm; TE = 11 ms; TR = 5000 ms; Number of echos = 40; BW = 15 kHz; NA = 100; DS = 0). Image sequence analysis in ParaVision 5.1 software was used to convert the raw data to numerical values.

Ethical approval

All applicable international, national, and/or institutional guidelines for the care and use of animals were followed. Animal handling procedures were carried out following approved protocols by the Baylor College of Medicine Institutional Animal Care and Use Committee (IACUC).

Electronic supplementary material

Acknowledgements

The authors acknowledge NCI Cancer Center support grant CA016672 for the support of the NMR Facility at M. D. Anderson Cancer Center where NMR experiments were performed. The authors also acknowledge Jonathan Romero, MRI technician at the Small Animal Imaging Facility (SAIF) at Texas Children’s Hospital for MR imaging services. This study was funded by The Alzheimer’s Association (grant no. 2015-NIRGD-342267 to E.A.T.) and the NIH (grant no. R21EB020153 to E.A.T.).

Author Contributions

Dr. Eric A. Tanifum contributed to the conception and design of the study, carried out experimental studies, and wrote the manuscript. Mr. Chandreshkumar Patel and Mr. Matthew E. Liaw carried out experimental studies and critically contributed to, and revised the manuscript. Dr. Robia G. Pautler and Dr. Ananth V. Annapragada contributed to the conception and design of the study, and critically contributed to, and revised the manuscript. All authors read and approved the final manuscript.

Competing Interests

The authors declare no competing interests.

Footnotes

Electronic supplementary material

Supplementary information accompanies this paper at 10.1038/s41598-018-21178-3.

Publisher's note: Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

References

  • 1.Schmieder AH, Caruthers SD, Keupp J, Wickline SA, Lanza GM. Recent advances in 19fluorine magnetic resonance imaging with perfluorocarbon emulsions. Engineering. 2015;1(4):475–489. doi: 10.15302/J-ENG-2015103. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 2.Amiri H, et al. Cell tracking using 19F magnetic resonance imaging: technical aspects and challenges towards clinical applications. European Radiology. 2015;25(3):726–735. doi: 10.1007/s00330-014-3474-5. [DOI] [PubMed] [Google Scholar]
  • 3.Srinivas M, Heerschap A, Ahrens ET, Figdor CG, de Vries IJM. 19F MRI for quantitative in vivo cell tracking. Trends in Biotechnology. 2010;28:363–70. doi: 10.1016/j.tibtech.2010.04.002. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 4.Chen J, Lanza GM, Wickline SA. Quantitative magnetic resonance fluorine imaging: today and tomorrow. Wiley Interdisciplinary Reviews: Nanomedicine and Nanobiotechnology. 2010;2(4):431–440. doi: 10.1002/wics.89. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 5.Tirotta I, et al. 19F Magnetic resonance imaging (MRI): from design of materials to clinical applications. Chemical Reviews. 2015;115:1106–1129. doi: 10.1021/cr500286d. [DOI] [PubMed] [Google Scholar]
  • 6.Ruiz-Cabello J, Barnett BP, Bottomley PA. Fluorine (19F) MRS and MRI in biomedicine. NMR in Biomedicine. 2010;24:114–129. doi: 10.1002/nbm.1570. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 7.Wolters M, et al. Clinical perspectives of hybrid proton-fluorine magnetic resonance imaging and spectroscopy. Investigative Radiology. 2013;48:341–350. doi: 10.1097/RLI.0b013e318277528c. [DOI] [PubMed] [Google Scholar]
  • 8.Goette MJ, et al. Balanced UTE-SSFP for 19F MR imaging of complex spectra. Magn. Reson. Med. 2015;74(2):537–543. doi: 10.1002/mrm.25437. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 9.Dagogo-Jack, I. and Shaw, A.T. Tumor heterogeniety and resistance to cancer therapies. Nature Reviews/Clinical Oncology166, Advanced Online Publication, 8 Nov 2017, 1–14 (2017).
  • 10.Chintamaneni M, Bhaskar M. Biomarkers in Alzheimer’s disease: a review. ISRN Pharmacology. 2012;2012:984786. doi: 10.5402/2012/984786. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 11.Allen TM, Cullis PR. Liposomal drug delivery systems: from concept to clinical applications. Advanced Drug Delivery Reviews. 2013;65:36–48. doi: 10.1016/j.addr.2012.09.037. [DOI] [PubMed] [Google Scholar]
  • 12.Kolb HC, Finn MG, Sharpless KB. Click chemistry: diverse chemical function from a few good reactions. Angewandte Chemie International Edition. 2001;40:2004. doi: 10.1002/1521-3773(20010601)40:11&#x0003c;2004::AID-ANIE2004&#x0003e;3.0.CO;2-5. [DOI] [PubMed] [Google Scholar]
  • 13.Tirotta I, et al. As superfluorinated molecular probe for highly sensitive in vivo19F-MRI. J. Am. Chem. Soc. 2014;136:8524-85–27. doi: 10.1021/ja503270n. [DOI] [PubMed] [Google Scholar]
  • 14.Partlow KC, Chen J, Brant JA, Neubauer AM. 19F magnetic resonance imaging for stem/progenitor cell tracking with multiple unique perfluorocarbon nanobeacons. The FASEB Journal. 2007;21:1647–1654. doi: 10.1096/fj.06-6505com. [DOI] [PubMed] [Google Scholar]
  • 15.Matsuoka K. Micellization of fluorinated amphiphiles. Current Opinion in Colloid & Interface Science. 2003;8:227–235. doi: 10.1016/S1359-0294(03)00056-6. [DOI] [Google Scholar]
  • 16.Kimura A, Narazaki M, Kanazawa Y, Fujiwara H. 19F Magnetic resonance imaging of perfluorooctanoic acid encapsulated in liposome for biodistribution measurement. Magnetic Resonance Imaging. 2004;22:855–860. doi: 10.1016/j.mri.2004.01.060. [DOI] [PubMed] [Google Scholar]
  • 17.Langereis S, et al. A Temperature-Sensitive Liposomal 1 H CEST and 19 F Contrast Agent for MR Image-Guided Drug Delivery. J. Am. Chem. Soc. 2009;131:1380–1381. doi: 10.1021/ja8087532. [DOI] [PubMed] [Google Scholar]
  • 18.Wellington D, Mikaelian I, Singer L. Comparison of ketamine–xylazine and ketamine–dexmedetomidine anesthesia and intraperitoneal tolerance in rats. Journal of the American Association for Laboratory Animal Science. 2014;52(4):481–487. [PMC free article] [PubMed] [Google Scholar]
  • 19.Watts R, Wang Y. k-Space Interpretation of the Rose Model: Noise Limitation on the Detectable Resolution in MRI. Magnetic Resonance in Medicine. 2002;48:550–554. doi: 10.1002/mrm.10220. [DOI] [PubMed] [Google Scholar]

Associated Data

This section collects any data citations, data availability statements, or supplementary materials included in this article.

Supplementary Materials


Articles from Scientific Reports are provided here courtesy of Nature Publishing Group

RESOURCES