PURPOSE: To compare three new macromolecular polyethylene glycol (PEG) -core dendrimeric gadolinium(Gd)-based MRI contrast agents for their applicability in quantitative assays of endothelial leakiness and tissue vascular density for the differentiation of cancer from normal soft tissues. MATERIALS AND METHODS: Thirty-two athymic rats with human breast cancer xenografts (MDA-MB-435) were imaged by dynamic MRI following enhancement with one of three new (Gd-DOTA)-conjugated PEG-core dendrimer contrast agents (effective molecular weights 161 to 323 kDa). Results were compared with a prototype macromolecular contrast agent, albumin (Gd-DTPA). Assays of permeabilities (K(PS); microL/min . 100 cm(3)) and tumor fractional plasma volumes (%) based on a two-compartment kinetic model were performed for skeletal muscle and tumors. RESULTS: The largest PEG-core contrast agent, PEG(20,000)-Gen4-(Gd-DOTA), leaked in breast tumors (K(PS) = 50 +/- 23 microL/min . 100 cm(3)), while exhibiting no measurable transendothelial leak (K(PS) = 0 microL/min . 100 cm(3)) in normal soft tissue microvessels allowing successful differentiation (P < 0.05) of cancers from normal muscle. PEG(12,000)-Gen4-(Gd-DOTA) leaked in tumors and in normal muscle (K(PS) = 51 +/- 26 and K(PS) = 21 +/- 18 microL/min . 100 cm(3), respectively). The smallest agent, PEG(12,000)-Gen3-(Gd-DOTA) also showed a measurable leak in both normal and malignant microvessels. CONCLUSION: MRI assays of vascular endothelial leakiness using new PEG-core, (Gd-DOTA)-conjugated macromolecular contrast agents proved applicable for the differentiation of human breast cancer from normal soft tissue. The apparent threshold in effective molecular weight for a clear differentiation of cancer from normal muscle with no measurable leak in the muscle is between 194 and 323 kDa.
PURPOSE: To compare three new macromolecular polyethylene glycol (PEG) -core dendrimeric gadolinium(Gd)-based MRI contrast agents for their applicability in quantitative assays of endothelial leakiness and tissue vascular density for the differentiation of cancer from normal soft tissues. MATERIALS AND METHODS: Thirty-two athymic rats with humanbreast cancer xenografts (MDA-MB-435) were imaged by dynamic MRI following enhancement with one of three new (Gd-DOTA)-conjugated PEG-core dendrimer contrast agents (effective molecular weights 161 to 323 kDa). Results were compared with a prototype macromolecular contrast agent, albumin (Gd-DTPA). Assays of permeabilities (K(PS); microL/min . 100 cm(3)) and tumor fractional plasma volumes (%) based on a two-compartment kinetic model were performed for skeletal muscle and tumors. RESULTS: The largest PEG-core contrast agent, PEG(20,000)-Gen4-(Gd-DOTA), leaked in breast tumors (K(PS) = 50 +/- 23 microL/min . 100 cm(3)), while exhibiting no measurable transendothelial leak (K(PS) = 0 microL/min . 100 cm(3)) in normal soft tissue microvessels allowing successful differentiation (P < 0.05) of cancers from normal muscle. PEG(12,000)-Gen4-(Gd-DOTA) leaked in tumors and in normal muscle (K(PS) = 51 +/- 26 and K(PS) = 21 +/- 18 microL/min . 100 cm(3), respectively). The smallest agent, PEG(12,000)-Gen3-(Gd-DOTA) also showed a measurable leak in both normal and malignant microvessels. CONCLUSION: MRI assays of vascular endothelial leakiness using new PEG-core, (Gd-DOTA)-conjugated macromolecular contrast agents proved applicable for the differentiation of humanbreast cancer from normal soft tissue. The apparent threshold in effective molecular weight for a clear differentiation of cancer from normal muscle with no measurable leak in the muscle is between 194 and 323 kDa.
Authors: Clemens C Cyran; Yanjun Fu; Victor Rogut; Bundit Chaopathomkul; Michael F Wendland; David M Shames; Robert C Brasch Journal: Acad Radiol Date: 2013-10 Impact factor: 3.173
Authors: Clemens C Cyran; Barbara Sennino; Yanjun Fu; Victor Rogut; David M Shames; Bundit Chaopathomkul; Michael F Wendland; Donald M McDonald; Robert C Brasch; Hans-Juergen Raatschen Journal: Eur J Radiol Date: 2011-09-01 Impact factor: 3.528
Authors: Lindsay S Karfeld-Sulzer; Emily A Waters; Nicolynn E Davis; Thomas J Meade; Annelise E Barron Journal: Biomacromolecules Date: 2010-06-14 Impact factor: 6.988
Authors: Clemens C Cyran; Bettina Schwarz; Philipp M Paprottka; Steven Sourbron; Jobst C von Einem; Olaf Dietrich; Rabea Hinkel; Dirk A Clevert; Christiane J Bruns; Maximilian F Reiser; Konstantin Nikolaou; Bernd J Wintersperger Journal: Cancer Imaging Date: 2013-12-16 Impact factor: 3.909