PURPOSE: To evaluate the usefulness of in vivo imaging of uveal melanoma in mice using high-frequency contrast-enhanced ultrasound (HF-CE-US) with 2D or 3D modes and to correlate the sonographic findings with histopathologic characteristics. METHODS: Fourteen 12-week-old C57BL6 mice were inoculated into their right eyes with aliquots of 5 × 10(5)/2.5 μL B16LS9 melanoma cells and were randomly assigned to either of two groups. At 7 days after inoculation, tumor-bearing eyes in group 1 (n = 8) were imaged using HF-CE-US to determine the 2D tumor size and relative blood volume; eyes in group 2 (n = 6) were imaged by 3D microbubble contrast-enhanced ultrasound, and the tumor volume was determined. Histologic tumor burden was quantified in enucleated eyes by image processing software, and microvascular density was determined by counting von Willebrand factor-positive vascular channels. Ultrasound images were evaluated and compared with histopathologic findings. RESULTS: Using HF-CE-US, melanomas were visualized as relatively hyperechoic regions. The intraobserver variability of sonographic measurements was 9.65% ± 7.89%, and the coefficient of variation for multiple measurements was 7.33% ± 5.71%. The correlation coefficient of sonographic volume or size and histologic area was 0.71 (P = 0.11) and 0.79 (P = 0.32). The relative blood volume within the tumor demonstrated sonographically correlated significantly with histologic tumor vascularity (r = 0.83; P < 0.001). CONCLUSIONS: There was a positive linear correlation between sonographic tumor measurements and histologic tumor burden in the mouse ocular melanoma model. Contrast-enhanced intensity corresponded with microvascular density and blood volume. HF-CE-US is a real-time, noninvasive, reliable method for in vivo evaluation of experimental intraocular melanoma tumor area and relative blood volume.
PURPOSE: To evaluate the usefulness of in vivo imaging of uveal melanoma in mice using high-frequency contrast-enhanced ultrasound (HF-CE-US) with 2D or 3D modes and to correlate the sonographic findings with histopathologic characteristics. METHODS: Fourteen 12-week-old C57BL6 mice were inoculated into their right eyes with aliquots of 5 × 10(5)/2.5 μL B16LS9 melanoma cells and were randomly assigned to either of two groups. At 7 days after inoculation, tumor-bearing eyes in group 1 (n = 8) were imaged using HF-CE-US to determine the 2D tumor size and relative blood volume; eyes in group 2 (n = 6) were imaged by 3D microbubble contrast-enhanced ultrasound, and the tumor volume was determined. Histologic tumor burden was quantified in enucleated eyes by image processing software, and microvascular density was determined by counting von Willebrand factor-positive vascular channels. Ultrasound images were evaluated and compared with histopathologic findings. RESULTS: Using HF-CE-US, melanomas were visualized as relatively hyperechoic regions. The intraobserver variability of sonographic measurements was 9.65% ± 7.89%, and the coefficient of variation for multiple measurements was 7.33% ± 5.71%. The correlation coefficient of sonographic volume or size and histologic area was 0.71 (P = 0.11) and 0.79 (P = 0.32). The relative blood volume within the tumor demonstrated sonographically correlated significantly with histologic tumor vascularity (r = 0.83; P < 0.001). CONCLUSIONS: There was a positive linear correlation between sonographic tumor measurements and histologic tumor burden in the mouseocular melanoma model. Contrast-enhanced intensity corresponded with microvascular density and blood volume. HF-CE-US is a real-time, noninvasive, reliable method for in vivo evaluation of experimental intraocular melanoma tumor area and relative blood volume.
Authors: F S Foster; M Y Zhang; Y Q Zhou; G Liu; J Mehi; E Cherin; K A Harasiewicz; B G Starkoski; L Zan; D A Knapik; S L Adamson Journal: Ultrasound Med Biol Date: 2002-09 Impact factor: 2.998
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Authors: Esther A Kleibeuker; Emmanouil Fokas; Philip D Allen; Veerle Kersemans; Arjan W Griffioen; John Beech; Jaehong H Im; Sean C Smart; Kitty C Castricum; Jaap van den Berg; Iris A Schulkens; Sally A Hill; Adrian L Harris; Ben J Slotman; Henk M Verheul; Ruth J Muschel; Victor L Thijssen Journal: Oncotarget Date: 2016-11-22
Authors: Stefan Kaluz; Qing Zhang; Yuki Kuranaga; Hua Yang; Satoru Osuka; Debanjan Bhattacharya; Narra S Devi; Jiyoung Mun; Wei Wang; Ruiwen Zhang; Mark M Goodman; Hans E Grossniklaus; Erwin G Van Meir Journal: Oncogene Date: 2021-07-03 Impact factor: 9.867
Authors: Hua Yang; Craig M Brackett; Vanessa Marie Morales-Tirado; Zezhong Li; Qing Zhang; Matthew W Wilson; Camille Benjamin; Wayne Harris; Edmund K Waller; Andrei V Gudkov; Lyudmila G Burdelya; Hans E Grossniklaus Journal: Oncotarget Date: 2016-01-19