Julius Chapiro1, Rafael Duran2, MingDe Lin3, John D Werner2, Zhijun Wang2, Rüdiger Schernthaner2, Lynn Jeanette Savic1, Mark L Lessne2, Jean-François Geschwind2, Kelvin Hong4. 1. Russell H. Morgan Department of Radiology and Radiological Science, Division of Vascular and Interventional Radiology, The Johns Hopkins Hospital, Sheikh Zayed Tower, Suite 7203, 1800 Orleans Street, Baltimore, MD 21287; Department of Diagnostic and Interventional Radiology, Charité Universitätsmedizin, Berlin, Germany. 2. Russell H. Morgan Department of Radiology and Radiological Science, Division of Vascular and Interventional Radiology, The Johns Hopkins Hospital, Sheikh Zayed Tower, Suite 7203, 1800 Orleans Street, Baltimore, MD 21287. 3. Clinical Informatics, Interventional, and Translational Solutions, Philips Research North America, Briarcliff Manor, New York. 4. Russell H. Morgan Department of Radiology and Radiological Science, Division of Vascular and Interventional Radiology, The Johns Hopkins Hospital, Sheikh Zayed Tower, Suite 7203, 1800 Orleans Street, Baltimore, MD 21287. Electronic address: khong1@jhmi.edu.
Abstract
PURPOSE: To evaluate the clinical feasibility and diagnostic accuracy of three-dimensional (3D) quantitative magnetic resonance (MR) imaging for the assessment of total lesion volume (TLV) and enhancing lesion volume (ELV) before and after uterine artery embolization (UAE). MATERIALS AND METHODS: This retrospective study included 25 patients with uterine fibroids who underwent UAE and received contrast-enhanced MR imaging before and after the procedure. TLV was calculated using a semiautomated 3D segmentation of the dominant lesion on contrast-enhanced MR imaging, and ELV was defined as voxels within TLV where the enhancement exceeded the value of a region of interest placed in hypoenhancing soft tissue (left psoas muscle). ELV was expressed in relative (% of TLV) and absolute (in cm(3)) metrics. Results were compared with manual measurements and correlated with symptomatic outcome using a linear regression model. RESULTS: Although 3D quantitative measurements of TLV demonstrated a strong correlation with the manual technique (R(2) = 0.93), measurements of ELV after UAE showed significant disagreement between techniques (R(2) = 0.72; residual standard error, 15.8). Six patients (24%) remained symptomatic and were classified as nonresponders. When stratified according to response, no difference in % ELV between responders and nonresponders was observed. When assessed using cm(3) ELV, responders showed a significantly lower mean ELV compared with nonresponders (4.1 cm(3) [range, 0.3-19.8 cm(3)] vs 77 cm(3) [range, 11.91-296 cm(3)]; P < .01). CONCLUSIONS: The use of segmentation-based 3D quantification of lesion enhancement is feasible and diagnostically accurate and could be considered as an MR imaging response marker for clinical outcome after UAE.
PURPOSE: To evaluate the clinical feasibility and diagnostic accuracy of three-dimensional (3D) quantitative magnetic resonance (MR) imaging for the assessment of total lesion volume (TLV) and enhancing lesion volume (ELV) before and after uterine artery embolization (UAE). MATERIALS AND METHODS: This retrospective study included 25 patients with uterine fibroids who underwent UAE and received contrast-enhanced MR imaging before and after the procedure. TLV was calculated using a semiautomated 3D segmentation of the dominant lesion on contrast-enhanced MR imaging, and ELV was defined as voxels within TLV where the enhancement exceeded the value of a region of interest placed in hypoenhancing soft tissue (left psoas muscle). ELV was expressed in relative (% of TLV) and absolute (in cm(3)) metrics. Results were compared with manual measurements and correlated with symptomatic outcome using a linear regression model. RESULTS: Although 3D quantitative measurements of TLV demonstrated a strong correlation with the manual technique (R(2) = 0.93), measurements of ELV after UAE showed significant disagreement between techniques (R(2) = 0.72; residual standard error, 15.8). Six patients (24%) remained symptomatic and were classified as nonresponders. When stratified according to response, no difference in % ELV between responders and nonresponders was observed. When assessed using cm(3) ELV, responders showed a significantly lower mean ELV compared with nonresponders (4.1 cm(3) [range, 0.3-19.8 cm(3)] vs 77 cm(3) [range, 11.91-296 cm(3)]; P < .01). CONCLUSIONS: The use of segmentation-based 3D quantification of lesion enhancement is feasible and diagnostically accurate and could be considered as an MR imaging response marker for clinical outcome after UAE.
Authors: James B Spies; Antoinette R Roth; Reena C Jha; Jackeline Gomez-Jorge; Elliot B Levy; Thomas C Chang; Susan A Ascher Journal: Radiology Date: 2002-01 Impact factor: 11.105
Authors: J H Ravina; D Herbreteau; N Ciraru-Vigneron; J M Bouret; E Houdart; A Aymard; J J Merland Journal: Lancet Date: 1995-09-09 Impact factor: 79.321
Authors: Shadi Yousefi; Ferenc Czeyda-Pommersheim; Amy M White; Filip Banovac; Winnie Y Hahn; James B Spies Journal: J Vasc Interv Radiol Date: 2006-12 Impact factor: 3.464
Authors: Tobias Heye; Elmar M Merkle; Caecilia S Reiner; Matthew S Davenport; Jeffrey J Horvath; Sebastian Feuerlein; Steven R Breault; Peter Gall; Mustafa R Bashir; Brian M Dale; Atilla P Kiraly; Daniel T Boll Journal: Radiology Date: 2012-12-06 Impact factor: 11.105
Authors: Scott C Goodwin; James B Spies; Robert Worthington-Kirsch; Eric Peterson; Gaylene Pron; Shuang Li; Evan R Myers Journal: Obstet Gynecol Date: 2008-01 Impact factor: 7.661
Authors: Francesco Giurazza; Giuseppe Albano; Liliana Valentino; Emiliano Schena; Tiziana Capussela; Maria Antonella Di Pasquale; Francesco Di Pietto; Rosaria De Ritis; Gennaro Nasti; Giuseppe Scognamiglio; Raffaella Niola Journal: Radiol Med Date: 2017-07-29 Impact factor: 3.469
Authors: T Schneider; J Chapiro; M Lin; J F Geschwind; L Kleinberg; D Rigamonti; I Jusué-Torres; A E Marciscano; D M Yousem Journal: Eur Radiol Date: 2015-07-03 Impact factor: 5.315
Authors: Ruediger E Schernthaner; Reham R Haroun; Sonny Nguyen; Rafael Duran; Jae Ho Sohn; Sonia Sahu; Julius Chapiro; Yan Zhao; Alessandro Radaelli; Imramsjah M van der Bom; Maria Mauti; Kelvin Hong; Jean-François H Geschwind; MingDe Lin Journal: Cardiovasc Intervent Radiol Date: 2017-10-31 Impact factor: 2.740