PURPOSE: Accurate spatial representation of tumor clearance after conformal radiotherapy is an endpoint of clinical importance. Magnetic resonance spectroscopy (MRS) can diagnose malignancy in the untreated prostate gland through measurements of cellular metabolites. In this study we sought to describe spectral metabolic changes in prostatic tissue after radiotherapy and validate a multivariate analytic strategy (based on MRS) that could identify viable tumor. METHODS AND MATERIALS: Transrectal ultrasound-guided prostate biopsies from 35 patients were obtained 18-36 months after external beam radiotherapy. One hundred sixteen tissue specimens were subjected to 1H MRS, submitted to histopathology, and analyzed for correlation with a multivariate strategy specifically developed for biomedical spectra. RESULTS: The sensitivity and specificity of MRS in identifying a malignant biopsy were 88.9% and 92% respectively, with an overall classification accuracy of 91.4%. The diagnostic spectral regions identified by our algorithm included those due to choline, creatine, glutamine, and lipid. Citrate, an important discriminating resonance in the untreated prostate gland, was invisible in all spectra, regardless of histology. CONCLUSIONS: Although the spectral features of prostate tissue markedly change after radiotherapy, MRS combined with multivariate methods of analysis can accurately identify histologically malignant biopsies. MRS shows promise as a modality that could integrate three-dimensional measures of tumor response.
PURPOSE: Accurate spatial representation of tumor clearance after conformal radiotherapy is an endpoint of clinical importance. Magnetic resonance spectroscopy (MRS) can diagnose malignancy in the untreated prostate gland through measurements of cellular metabolites. In this study we sought to describe spectral metabolic changes in prostatic tissue after radiotherapy and validate a multivariate analytic strategy (based on MRS) that could identify viable tumor. METHODS AND MATERIALS: Transrectal ultrasound-guided prostate biopsies from 35 patients were obtained 18-36 months after external beam radiotherapy. One hundred sixteen tissue specimens were subjected to 1HMRS, submitted to histopathology, and analyzed for correlation with a multivariate strategy specifically developed for biomedical spectra. RESULTS: The sensitivity and specificity of MRS in identifying a malignant biopsy were 88.9% and 92% respectively, with an overall classification accuracy of 91.4%. The diagnostic spectral regions identified by our algorithm included those due to choline, creatine, glutamine, and lipid. Citrate, an important discriminating resonance in the untreated prostate gland, was invisible in all spectra, regardless of histology. CONCLUSIONS: Although the spectral features of prostate tissue markedly change after radiotherapy, MRS combined with multivariate methods of analysis can accurately identify histologically malignant biopsies. MRS shows promise as a modality that could integrate three-dimensional measures of tumor response.
Authors: Matthew D Greer; Anna M Brown; Joanna H Shih; Ronald M Summers; Jamie Marko; Yan Mee Law; Sandeep Sankineni; Arvin K George; Maria J Merino; Peter A Pinto; Peter L Choyke; Baris Turkbey Journal: J Magn Reson Imaging Date: 2016-07-08 Impact factor: 4.813
Authors: Tedros Bezabeh; Olva Odlum; Richard Nason; Paul Kerr; Donna Sutherland; Rakesh Patel; Ian C P Smith Journal: AJNR Am J Neuroradiol Date: 2005-09 Impact factor: 3.825
Authors: Axel Krieger; Iulian I Iordachita; Peter Guion; Anurag K Singh; Aradhana Kaushal; Cynthia Ménard; Peter A Pinto; Kevin Camphausen; Gabor Fichtinger; Louis L Whitcomb Journal: IEEE Trans Biomed Eng Date: 2011-11 Impact factor: 4.538
Authors: Axel Krieger; Sang-Eun Song; Nathan B Cho; Iulian Iordachita; Peter Guion; Gabor Fichtinger; Louis L Whitcomb Journal: IEEE ASME Trans Mechatron Date: 2011-10-17 Impact factor: 5.303
Authors: Rachel S Kelly; Matthew G Vander Heiden; Edward Giovannucci; Lorelei A Mucci Journal: Cancer Epidemiol Biomarkers Prev Date: 2016-04-06 Impact factor: 4.254
Authors: Elnasif Arrayeh; Antonio C Westphalen; John Kurhanewicz; Mack Roach; Adam J Jung; Peter R Carroll; Fergus V Coakley Journal: Int J Radiat Oncol Biol Phys Date: 2012-02-11 Impact factor: 7.038