TY - JOUR AU - McNeil, Barbara J. AB - Abstract In the 21st century, diseases will be diagnosed and treated using increasingly less invasive, more sophisticated imaging and image-guided procedures. During the past 100 years, the field of biomedical imaging has developed from Roentgen's original discovery of the x-ray to the imaging tools of today, such as magnetic resonance imaging, computed tomography, positron emission tomography, and ultrasonography. The benefits of using these sophisticated noninvasive imaging tools are already evident: more accurate and timely diagnosis of disease has translated into improved patient care. Recent advances in imaging research have shown the potential to change many aspects of clinical medicine within the next decade. Major new areas of research focus on development of the molecular, functional, cellular, and genetic imaging tools of the future, aided by new information technology and image fusion/integration capabilities. Image-guided therapy is growing rapidly, with advances in computer science, technology, and noninvasive treatment methods, such as focused ultrasonography. Undoubtedly, these and other new imaging techniques will enhance the ability to accurately diagnose and recognize disease and allow understanding of the molecular mechanisms of diseases and their respective responses to therapy. Given this explosion in new technologies, the next 25 years promise to result in dramatic changes in diagnostic imaging, particularly with respect to detection and recognition of disease. Diagnosis and recognition of disease using diagnostic imaging has undergone significant change and development in the past 25 years. This article focuses on 3 major areas of imaging: new techniques, image-guided therapy, and bioinformatics, each of which reflects the dramatic progress in this field. Clinical Breakthroughs and Current Challenges Development of magnetic resonance imaging (MRI), computed tomography (CT), and ultrasonography have allowed visualization of different tissue properties than conventional radiography. Many individual tissue properties of the MRI signal, such as MR-proton density, relaxation rates, flow, chemical shift, diffusion, and perfusion, contribute to soft tissue contrast. Computed tomography and ultrasonography each rely on a single characteristic, namely, density and sound reflection, respectively. Four examples illustrate new clinical advances, including cardiac MRI, obstetrical MRI, genitourinary CT, and tumor imaging with positron emission tomography (PET). Initially, MRI was time-consuming and expensive. While MRI always provided exquisite images of the brain, it did not initially appear likely to be useful for parts of the body where significant motion occurred, such as the heart. However, with different techniques, morphological and even functional cardiac information could be obtained.1,2 Now, due to rapid imaging sequences and technological innovations, exquisite images of the beating heart make possible detailed analysis of cardiac wall motion and perfusion in patients with myocardial ischemia and infarction. Magnetic resonance imaging of the heart during dobutamine stress can evaluate wall motion abnormalities.3 Faster MRI sequences have made direct in utero imaging of the fetus and its development an important addition to obstetrical imaging, particularly in providing opportunities to plan and guide surgical intervention in utero or at birth.4-6 Advances in CT imaging of the urinary tract have resulted in less invasive treatments and more accurate diagnoses. Helical CT is now the criterion standard for detection of renal cell carcinoma and acute ureterolithiasis.7-9 Multidetector CT allows for 3-dimensional reconstruction of the entire urinary tract.10 One major application of PET is tumor imaging. This technique can image tumors noninvasively and detect both primary tumors and distant metastases.11-15 The Health Care Financing Administration (HCFA) recently authorized Medicare coverage for 18-fluorodeoxyglucose PET studies for staging and restaging in patients with one of several tumor types if the stage remains in doubt after a standard diagnostic workup and if the resulting information is expected to affect patient treatment or use of PET would be expected to replace a conventional procedure.16 The tumor types are non–small-cell lung, esophageal, and colorectal cancers; lymphoma; melanoma (excluding staging for regional nodes); and cancers of the head and neck (excluding central nervous system and thyroid cancers). In addition, coverage also has been authorized for assessing response to therapy after the course of therapy has been completed for these tumors. HCFA noted in its ruling that "in all of the clinical conditions for which Medicare will now provide coverage, and for the remaining oncologic and other clinical uses, there is still a need for high-quality clinical studies."16 Current Scientific Foundation Early detection of disease will change dramatically in the future. If the promise of genomics is fulfilled, patients at high risk for disease will be readily identified. New technologies and methods will be required for functional, physiological, and molecular imaging, both for diagnosis and to guide and monitor molecular therapies. Three areas of research are currently of particular importance: development of new techniques for imaging of physiological and pathophysiological processes and for improvement of anatomic resolution; development of improved imaging for treatment delivery and assessment; and improvement of bioinformatics as it relates to imaging. New Technologies Technologies in development include molecular imaging, diffusion-weighted MRI, functional MRI, and MR spectroscopy (MRS). Molecular imaging techniques include PET, single-photon emission CT (SPECT), and optical imaging. Positron emission tomography allows direct imaging of biological processes in vivo as well as visualization of the molecular target. Both PET and SPECT can image brain chemistry, neurotransmitter receptors,17 and brain function. Positron emission tomography may provide a means for early diagnosis of Alzheimer disease18 and, by measuring the rate of dopaminergic receptor loss, provides a method to monitor the effects of treatment of Parkinson disease.19 Diffusion-weighted MRI can distinguish healthy brain tissue from brain areas affected by acute stroke20 and provides the ability to separate cytotoxic edema (with acute cerebral infarction) from vasogenic edema (with tumors).21 When applied to the ischemic brain, this technique predicts the amount of infarction and ischemia, thus identifying patients who may benefit from new treatments for reversing ischemia. Magnetic resonance spectroscopy provides a measure of metabolic differences in various brain areas, as in detecting foci of acute cerebral ischemia and stroke.22 Use of this technique for breast and prostate cancer can help detect foci of tumor involvement. Magnetic resonance imaging is useful for staging and monitoring treatment of prostate cancer and can be enhanced when combined with MRS or demographic data.23-26 The challenge is to increase capability to perform real-time imaging of in vivo molecular and cellular events. For example, among women with the BRCA1 or BRCA2 gene, the delay between malignant transformation and development of mammographic findings may be reduced by molecular imaging. In vivo imaging of genetic and molecular markers for disease diagnosis and recognition may be possible with MRI, MRS, or optical imaging. Spatial and temporal image resolution must be refined to allow enhanced detection and visualization of rapid molecular and cellular events. Improved technology includes high-field-strength magnets (up to 7 T), improved MR surface coils, multimodal imaging units (eg, SPECT/CT or PET/CT), and multidetector CT scanners. Image-Guided Therapy The multidisciplinary field of image-guided therapy and surgery has become increasingly refined with application of techniques such as MRI, CT, and ultrasonography. Image-guided surgery brings powerful technologies into the operating room by applying advances in computer science and engineering. The simultaneous combination of direct vision and imaging is possible with intraoperative MRI.27-32 Open-configuration MRI systems guide, plan, and direct multiple procedures—from biopsies to percutaneous interventions and neurosurgery. Use of MRI to guide biopsies of lesions that cannot otherwise be detected and to direct therapy is a powerful application of this technology. Functional imaging (functional MRI/SPECT/PET) makes it possible to map brain function directly in the operating room (Figure 1).28 Functional MRI allows identification of the brain area by function, such as the speech center or motor cortex, and the surgeon can avoid damage to such critical areas. For certain interventions (eg, biopsies, tumor resection, directed therapies), this imaging information enhances the ability to apply sophisticated imaging techniques to surgery. Intraoperative MR guidance for neurosurgery improves precision of tumor resection,33,34 particularly when high-resolution MRI images are combined with functional MRI, SPECT, and MR angiographic data. Further advances in MR-guided interventions, biopsies, ablations, and surgery are needed to expand their capabilities. Imaging Treatment Effect Improved noninvasive surrogate imaging markers would be useful to monitor drug delivery and effect; for instance, with new imaging techniques that will provide surrogate markers of both treated and untreated disease. Treatment effect monitoring must be both sensitive and accurate. For example, tumor size can be calculated from CT or MRI by direct 1-dimensional or 2-dimensional measurements as proposed in the guidelines of both the Response Evaluation Criteria in Solid Tumors group and the World Health Organization.35 Although tumor size alone does not provide a full picture of what is happening within the tumor undergoing treatment, tumor shrinkage remains the chief means of assessing response. New methods to measure molecular and cellular effects (eg, tumor regulation, gene therapy, angiogenesis) are essential. More insightful ways to visualize treatment effects directly might include imaging cell death and presence or absence of malignant cells, for example. Likewise, development of antiangiogenesis drugs will require measurement of effects such as the number of vessels or vessel density, vessel permeability, and blood flow to tumors. Bioinformatics All new medical tools (imaging, drugs, and treatment methods) must undergo lengthy testing and rigorous evaluation before use. As these assessment techniques are increasingly applied to imaging modes, standards are becoming more exacting, and assessments are being applied with much greater frequency to optimize diagnostic imaging modes by using evidence-based approaches. Hospital staff members can now access online guidelines for use of imaging tests by diagnosis.36 The ability to store and integrate imaging and medical information in 1 system along with tools for management of imaging data contribute to maximizing the benefit of imaging for the patient. The increasing complexity of information available from image data sets increases demand on the diagnostic skills of radiologists. Two ways to improve diagnostic performance are by improving the radiologist's accuracy and by increasing the utility of diagnostic decisions. The ability to perform multimodal image fusion (eg, combine data sets from PET and CT or SPECT and MRI) increases complexity and also requires innovative methods for increasing diagnostic accuracy, such as feature analysis and computer-aided diagnostic tools.37,38 Statistical prediction rules are a form of computer-based decision support that improves diagnostic accuracy. Such rules can enable analysis of more than 20 variables on a mammogram and combine the results to provide an estimate of the probability of cancer. These tools are powerful and can improve the quality and accuracy of diagnostic techniques, as illustrated by application of MRI for staging prostate cancer.39 Cutting-Edge Research Activities Molecular Imaging Molecular imaging, the next frontier in diagnostic imaging,40 involves noninvasive mapping of cellular and subcellular molecular events. Several methods are used to facilitate this imaging, including PET, MRI, and optical imaging, which enable assessment of gene expression in vivo.41,42 Optical imaging uses either near-infrared fluorescence or optical coherence tomography. Near-infrared fluorescence uses probes that allow in vivo imaging of enzyme pathways, such as activity of cathepsin D, an enzyme overexpressed in many tumors. In rodent cell lines, that enzyme can be visualized with a 350-fold amplification of signal in in vitro testing.43,44Figure 2 shows MRI of transgene expression.40 Image-Guided Therapy The ultimate goal of treatment is to identify the target of treatment and to deliver the maximum therapy to that target. The 3 critical components of image-guided therapy are navigation, control, and monitoring of therapy delivery. Precise navigation requires clear identification of the target. To assess treatment delivery, the target lesion and all adjacent tissues must be identified accurately while controlling the intervention or procedure. Open MR systems are useful to guide treatment and assess follow-up effects in brain and spinal cord surgery, cryoablation of liver tumors, breast cancer, and laser interventions.45 Magnetic resonance imaging is sensitive for detection of breast masses and lesions but not specific in breast cancer diagnosis. To understand and use MRI in early detection of breast cancer (eg, in BRCA1-positive or high-risk women), MR-guided breast biopsy must be performed on all suspicious lesions and compared with mammography and histology. In addition, several ablative techniques will allow physicians to halt the disease process using thermal methods. For example, MR-guided cryotherapy allows clear visualization of the "freezing" of the diseased tissue with argon, and is used in several disease processes, such as liver metastases, uterine leiomyomas, renal tumors, and prostate cancer. Image-guided therapy for prostate cancer has improved local treatment and reduced the complication rate. In local therapy, introduction of ultrasonographic guidance for brachytherapy has led to increased use of this treatment method. Radioactive seeds also can be placed into the prostate with MR guidance (Figure 3). This approach allows direct visualization of the target to be treated, the treatment delivery, and the resulting radiation dose.46,47 The approach also has been adopted for performing MR-guided prostate biopsies when transrectal ultrasonography has failed or is not possible.48,49 Integration of image information from high-field-strength MRI and MRS into the biopsy guidance tool will improve the precision and accuracy of the procedure.50 Research Priorities and Critical Issues Priorities for imaging research can be grouped into 2 categories. The first is increased recognition by the international research community of the need for biomedical imaging research and increased infrastructure support and funding. Second, integration and translation of basic imaging research to the bedside and direct patient care should be increased. Biomedical imaging is an interdisciplinary field that requires collaboration among biologists, chemists, physicists, pharmacologists, computer scientists, bioengineers, and clinicians of all specialties. Skills and tools provided by radiologists are at the core of many clinical research programs. In interventional cardiology, for example, the tools and techniques introduced by radiologists have radically altered treatment of heart disease. Continued development of new interventional techniques will emerge from imaging research laboratories. Integration of these multiple fields to improve patient care will be difficult because these groups have not traditionally worked together. Given the current health care environment, time and effort dedicated to research is declining, even in the largest academic health care centers. However, the trend to integrate research and clinical care centered on disease groups, such as cancer centers or women's health centers, will enhance integration of the interdisciplinary fields. Forecast of Major Research Advances Just as major breakthroughs such as CT, MRI, and image-guided therapy could not have been predicted, future developments are difficult, if not impossible, to predict. (Figure 4) If sequencing of the human genome provides as much knowledge as is predicted, the focus of imaging will change from diagnosis and recognition of disease to prediction and prevention. In vivo markers and maps will allow stratification of high-risk individuals. Realization of the promise of molecular imaging with PET and other modes will provide unique insights into the extent of disease and allow for improved staging and better treatment. The combination of molecular imaging and image-guided therapy systems will make it possible to direct treatment to a disease at the time of recognition. For instance, for a 30-year-old man with a family history of prostate cancer, it may be possible to perform a "prostate scan" and detect a small focus of aggressive cancer confined to the gland using, for instance, a prostate-specific antigen optical imaging probe or improved MRI with simultaneous MRS. The patient could be treated immediately using an image-guided ablative method with direct injection of radioactive seeds,46,47 a direct injection of gene therapy,51 cryotherapy, or even noninvasive focused ultrasonographic ablation.52 Early diagnosis of disease must be accompanied by effective treatments. As technological advances occur in identifying diseases and disorders early in their development, increasingly innovative treatments, well validated by outcome studies, also are required. The continued quest for improvement in health care undoubtedly will produce many unimaginable, innovative new diagnostic imaging techniques. References 1. Zerhouni EA, Parish DM, Rogers WJ, Yang A, Shapiro EP. Human heart: tagging with MR imaging: a method for non-invasive assessment of myocardial motion. Radiology.1988;169:59-63.Google Scholar 2. Axel L, Dougherty L. Heart wall motion: improved method of spatial modulation of magnetization for MR imaging. Radiology.1989;172:349-350.Google Scholar 3. Nagel E, Fleck E. Functional MRI in ischemic heart disease based on detection of contraction abnormalities. J Magn Reson Imaging.1999;10:411-417.Google Scholar 4. Hubbard AM, Harty MP, States LJ. A new tool for prenatal diagnosis: ultrafast fetal MRI. Semin Perinatol.1999;23:437-447.Google Scholar 5. Levine D, Barnes PD, Madsen JR. et al. Fetal CNS anomalies revealed on ultrafast MR imaging. AJR Am J Roentgenol.1999;172:813-818.Google Scholar 6. Norwitz ER, Hoyte LPJ, Jenkins KJ. et al. Immediate postnatal separation of throco-omphalopagus conjoined twins with a single heart and twin reversed-arterial perfusion (TRAP) sequence: a novel technique for antenatal surgical planning using three dimensional computer modeling. N Engl J Med.2000;343:399-402.Google Scholar 7. Bosniak MA. Renal cell carcinoma. N Engl J Med.1997;336:810.Google Scholar 8. Smith SJ, Bosniak MA, Megibow AJ, Hulnick DH, Horii SC, Raghavendra BN. Renal cell carcinoma: earlier discovery and increased detection. Radiology.1989;170(3 pt 1):699-703.Google Scholar 9. Fielding JR, Fox LA, Heller H. et al. Spiral CT in the evaluation of flank pain: overall accuracy and feature analysis. J Comput Assist Tomogr.1997;21:635-638.Google Scholar 10. McTavish JD, Jinzaki M, Zou KH, Silverman SG. Multidetector CT urography: analysis of technique and comparison with IVU. Radiology.2000;217:225.Google Scholar 11. Changlai SP, Schiepers C, Blatt SA. et al. The impact of whole body FDG PET on staging of lung cancer. J Nucl Med.1999;40:56.Google Scholar 12. Valk PE, Pounds TR, Tesar RD, Hopkins DM, Haseman MK. Cost-effectiveness of PET on clinical oncology. Nucl Med Biol.1996;23:737-743.Google Scholar 13. Vitola JV, Delbeke D, Sandler MP. Positron emission tomography to stage suspected metastatic colorectal carcinoma to the liver. Am J Surg.1996;171:21-26.Google Scholar 14. Mooh F, Bangerter M, Diedrichs CG. Extranodal malignant lymphoma: detection with FDG PET versus CT. Radiology.1998;206:475-481.Google Scholar 15. Lowe VJ, Boyd JH, Dunphy FR. et al. Surveillance for recurrence for head and neck cancer using positron emission tomography. J Clin Oncol.2000;18:651-658.Google Scholar 16. Health Care Financing Administration. FDG positron emission tomography (CAG-00065) decision memorandum; December 15, 2000. Available at: http://www.hcfa.gov/coverage/8b3-hh2.htm. Accessed January 4, 2001. 17. Perlmutter JS, Moerlein SM. PET measurements of dopaminergic pathways in the brain. Q J Nucl Med.1999;43:140-154.Google Scholar 18. Mazziota JC, Frackowiak RS, Phelps ME. The use of positron emission tomography in the clinical assessment of dementia. Semin Nucl Med.1992;22:233-246.Google Scholar 19. Morrish P, Sawle GV, Brooks DJ. An [18F] dopa-PET and clinical study of the rate of progression in Parkinson's disease. Brain.1996;119(pt 2):585-591.Google Scholar 20. Maier S, Gubjartsson H, Patz S. Line scan diffusion imaging: characterization in healthy subjects and stroke patients. AJR Am J Roentgenol.1998;171:85-93.Google Scholar 21. Provenzale JM, Sorensen AG. Diffusion weighted MR imaging in acute stroke: theoretical considerations and clinical applications. AJR Am J Roentgenol.1999;173:1459-1467.Google Scholar 22. Beauchamp NJ, Barker PB, Wang PY, van Zijl PC. Imaging of acute cerebral ischemia. Radiology.1999;212:307-324.Google Scholar 23. Tempany C, Zhou X, Zerhouni E. et al. Staging of prostate cancer with MRI: results of Radiology Diagnostic Oncology Group project: comparison of different techniques, including the endorectal coil. Radiology.1994;192:47-54.Google Scholar 24. Kurhanewicz J, Vingeron DB, Males RG, Swanson MG, Yu KK, Hricak H. The prostate: MR imaging and spectroscopy: present and future. Radiol Clin North Am.2000;38:115-138.Google Scholar 25. Yu KK, Scheidler J, Hricak H. et al. Prostate cancer: prediction of extracapsular extension with endorectal MR imaging and three-dimensional proton spectroscopy. Radiology.1999;213:481-488.Google Scholar 26. Getty DJ, Seltzer SE, Tempany CMC, Pickett RM, Swets JA, McNeil BJ. Prostate cancer: relative effects of demographic, clinical, histologic and MR imaging variable on the accuracy of staging. Radiology.1997;204:471-479.Google Scholar 27. D'Amico AV, Chang E, Garnick M, Kantoff P, Jiroutek M, Tempany CM. Assessment of prostate cancer volume using endorectal coil magnetic resonance imaging: a new predictor of tumor response to neoadjuvant androgen suppression therapy. Urology.1998;51:287-292.Google Scholar 28. Jolesz FA. 1996 RSNA Eugene P. Pendergrass New Horizons Lecture: image-guided procedures and the operating room of the future. Radiology.1997;204:601-612.Google Scholar 29. Silverman SG, Collick BD, Figueira MR. et al. Interactive MR-guided biopsy in an open-configuration MR imaging system. Radiology.1995;197:175-181.Google Scholar 30. Schenck JF, Jolesz FA, Roemer PB. et al. Superconducting open-configuration MR imaging system for image-guided therapy. Radiology.1995;195:805-814.Google Scholar 31. Jolesz FA, Blumenfeld SM. Interventional use of magnetic resonance imaging. Magn Reson Q.1994;10:85-96.Google Scholar 32. Vogl TJ, Muller PK, Hammerstingl R. et al. Malignant liver tumors treated with MR imaging-guided laser-induced thermotherapy: technique and prospective results. Radiology.1995;196:257-265.Google Scholar 33. Kettenbach J, Wong T, Kacher D. et al. Computer-based imaging and interventional MRI: applications for neurosurgery. Comput Med Imaging Graph.1999;23:245-259.Google Scholar 34. Black PM, Alexander E, Martin C. et al. Craniotomy for tumor treatment in an intra-operative magnetic resonance imaging unit. Neurosurgery.1999;45:423-431.Google Scholar 35. Therasse P, Arbuck SG, Eisenhauer EA. et al. New guidelines to evaluate the response to treatment in solid tumors. J Natl Cancer Inst.2000;92:179-181.Google Scholar 36. Harpole LH, Khoransani R, Fiskio J, Kuperman GJ, Bates DW. Automated evidence-based critiquing of orders for abdominal radiographs: impact on utilization and appropriateness. J Am Med Inform Assoc.1997;4:511-521.Google Scholar 37. Swets JA. Measuring the accuracy of diagnostic systems. Science.1988;240:1285-1293.Google Scholar 38. Swets JA, Getty DJ, Pickett RM, D'Orsi CJ, Seltzer SE, McNeil BJ. Enhancing and evaluating diagnostic accuracy. Med Decis Making.1991;11:9-18.Google Scholar 39. Seltzer SE, Getty DJ, Tempany CM. et al. Staging prostate cancer with MR imaging: a combined radiologist-computer system. Radiology.1997;202:219-226.Google Scholar 40. Weissleder R. Molecular imaging: exploring the next frontier. Radiology.1999;212:609-614.Google Scholar 41. Weissleder R, Moore A, Mahmood U. et al. In vivo magnetic resonance imaging of transgene expression. Nat Med.2000;6:351-354.Google Scholar 42. Gambhir SS, Barrio JR, Phelps ME. et al. Imaging adenoviral-directed reporter gene expression in living animals with positron emission tomography. Proc Natl Acad Sci U S A.1999;96:2333-2338.Google Scholar 43. Tung CH, Bredlow S, Mahmood U, Weissleder R. Preparation of a cathepsin sensitive near-infrared fluorescence probe for imaging. Bioconjug Chem.1999;10:892-896.Google Scholar 44. Tung CH, Mahmood U, Weissleder R. In vivo imaging of proteolytic enzyme activity using a novel molecular reporter. Cancer Res.2000;60:4953-4958.Google Scholar 45. Matsumoto R, Selig AM, Colucci VM, Jolesz FA. MR monitoring during cryotherapy in liver predictability of histologic outcome. J Magn Reson Imaging.1993;3:770-776.Google Scholar 46. D'Amico AV, Cormack R, Tempany CM. et al. Real time magnetic resonance image guided interstitial brachytherapy in the treatment of selected patients with clinically localized prostate cancer. Int J Radiat Oncol Biol Phys.1998;42:507-515.Google Scholar 47. Cormack RA, Kooy H, Tempany CM, D'Amico AV. A clinical method for real-time dosimetric guidance of transperineal I-125 prostate implants using interventional magnetic resonance imaging. Int J Radiat Oncol Biol Phys.2000;46:207-214.Google Scholar 48. D'Amico AV, Tempany CM, Cormack R. et al. Transperineal magnetic resonance image guided prostate biopsy. J Urol.2000;164:385-387.Google Scholar 49. Hata N, Jinzaki M, Kacher D. et al. MRI-guided prostate biopsy using surgical navigation software: device validation and feasibility. Radiology.In press.Google Scholar 50. Perrotti MP, Han KR, Epstein RE. et al. Prospective evaluation of endorectal coil MRI to detect tumor foci in men with prior negative prostate biopsy: a pilot study. J Urol.1999;162:1314-1317.Google Scholar 51. Steiner MS, Gingrich JR. Gene therapy for prostate cancer: where are we now? J Urol.2000;164:1121-1136.Google Scholar 52. Smith NB, Buchanan MT, Hynynen K. Transrectal ultrasound applicator for prostate heating monitored using MRI thermometry. Int J Radiat Oncol Biol Phys.1999;43:217-225.Google Scholar TI - Advances in Biomedical Imaging JF - JAMA DO - 10.1001/jama.285.5.562 DA - 2001-02-07 UR - https://www.deepdyve.com/lp/american-medical-association/advances-in-biomedical-imaging-jrGMO3WCXx SP - 562 EP - 567 VL - 285 IS - 5 DP - DeepDyve ER -