Literature DB >> 27140072

Diagnostic Challenges of Kidney Cancer: A Systematic Review of the Role of Positron Emission Tomography-Computerized Tomography.

Ofer N Gofrit1, Marina Orevi2.   

Abstract

PURPOSE: Positron emission tomography-computerized tomography is a leading imaging modality for many types of solid tumors. The ability to characterize molecular processes noninvasively during a relatively fast whole-body scan is the major advantage of this technology. We reviewed the literature in an attempt to clarify the usefulness of positron emission tomography-computerized tomography in patients with a renal mass.
MATERIALS AND METHODS: We searched PubMed® for articles published from 2004 through September 2015 using the keywords "renal," "kidney," "mass," "tumor," "cancer," and "PET/CT."
RESULTS: A total of 158 relevant articles were included in the review. Most diagnostic studies used (18)F-fluorodeoxyglucose, a marker of glucose metabolism, as the radiotracer. The results were substandard, with sensitivity rates in the range of 31.5% to 77% for diagnosis of renal cell carcinomas. There were higher success rates for diagnosis of clear cell carcinomas. Carbonic anhydrase IX is an enzyme expressed in 95% of clear cell carcinomas but not in normal renal tissue or in benign or nonclear cell malignancies. A chimeric mouse-human antibody to carbonic anhydrase IX labeled with (124)I-girentuximab was demonstrated to diagnose clear cell tumors with sensitivity of 86.2% and specificity of 85.9%. For diagnosis of metastases positron emission tomography-computerized tomography with (18)F-fluorodeoxyglucose was observed to be more accurate than computerized tomography alone (94% vs 89%). Studies with other tracers also reveal encouraging results. Positron emission tomography-computerized tomography holds great promise in predicting prognosis and response to tyrosine kinase inhibitors. Current tyrosine kinase inhibitor treatments usually induce only mild lesion shrinkage. Thus, assessment of response based on changes in size of metastases is insufficient. Low (18)F-fluorodeoxyglucose uptake before treatment and decreased uptake after 2 cycles of treatment are associated with better survival. Using labeled medications as radiotracers before actual treatment may assist in selection of the most effective medication for a specific patient.
CONCLUSIONS: Positron emission tomography-computerized tomography with (18)F-fluorodeoxyglucose currently has lower sensitivity compared to enhanced computerized tomography for diagnosis of primary renal masses but better sensitivity for diagnosis of metastases. Predicting and monitoring response to targeted therapy could direct the clinician toward drug selection or modification during therapy. The possibility of treating patients with advanced renal cell carcinoma with (124)I-girentuximab attached to (177)Lu, a strong β-emitter, is investigated.
Copyright © 2016 American Urological Association Education and Research, Inc. Published by Elsevier Inc. All rights reserved.

Entities:  

Keywords:  diagnosis, computer-assisted; kidney neoplasms; positron-emission tomography; tomography, x-ray computed

Mesh:

Year:  2016        PMID: 27140072     DOI: 10.1016/j.juro.2016.02.2992

Source DB:  PubMed          Journal:  J Urol        ISSN: 0022-5347            Impact factor:   7.450


  10 in total

1.  Renal cell carcinoma: the search for a reliable biomarker.

Authors:  Nicholas J Farber; Christopher J Kim; Parth K Modi; Jane D Hon; Evita T Sadimin; Eric A Singer
Journal:  Transl Cancer Res       Date:  2017-06       Impact factor: 1.241

2.  Canadian Urological Association guideline for followup of patients after treatment of non-metastatic renal cell carcinoma.

Authors:  Wassim Kassouf; Leonardo L Monteiro; Darrel E Drachenberg; Adrian S Fairey; Antonio Finelli; Anil Kapoor; Jean-Baptiste Lattouf; Michael J Leveridge; Nicholas E Power; Frederic Pouliot; Ricardo A Rendon; Robert Sabbagh; Alan I So; Simon Tanguay; Rodney H Breau
Journal:  Can Urol Assoc J       Date:  2018-05-31       Impact factor: 1.862

Review 3.  Metabolic reprogramming in clear cell renal cell carcinoma.

Authors:  Hiromi I Wettersten; Omran Abu Aboud; Primo N Lara; Robert H Weiss
Journal:  Nat Rev Nephrol       Date:  2017-05-08       Impact factor: 28.314

4.  Post-operative surveillance in kidney cancer.

Authors:  Ofer Gofrit; Marina Orevi
Journal:  Ann Transl Med       Date:  2019-07

5.  Accuracy and Readability of Websites on Kidney and Bladder Cancers.

Authors:  Samy A Azer; Maha M Alghofaili; Rana M Alsultan; Najla S Alrumaih
Journal:  J Cancer Educ       Date:  2018-08       Impact factor: 2.037

Review 6.  Metabolomics and Metabolic Reprogramming in Kidney Cancer.

Authors:  Robert H Weiss
Journal:  Semin Nephrol       Date:  2018-03       Impact factor: 5.299

7.  Glutamine Addiction in Kidney Cancer Suppresses Oxidative Stress and Can Be Exploited for Real-Time Imaging.

Authors:  Omran Abu Aboud; Samy L Habib; Josephine Trott; Benjamin Stewart; Sitai Liang; Abhijit J Chaudhari; Julie Sutcliffe; Robert H Weiss
Journal:  Cancer Res       Date:  2017-10-11       Impact factor: 12.701

Review 8.  Surgical Management of Advanced and Metastatic Renal Cell Carcinoma: A Multidisciplinary Approach.

Authors:  Brian M Shinder; Kevin Rhee; Douglas Farrell; Nicholas J Farber; Mark N Stein; Thomas L Jang; Eric A Singer
Journal:  Front Oncol       Date:  2017-05-31       Impact factor: 6.244

9.  LiKidMiRs: A ddPCR-Based Panel of 4 Circulating miRNAs for Detection of Renal Cell Carcinoma.

Authors:  José Pedro Sequeira; Vera Constâncio; Sofia Salta; João Lobo; Daniela Barros-Silva; Carina Carvalho-Maia; Jéssica Rodrigues; Isaac Braga; Rui Henrique; Carmen Jerónimo
Journal:  Cancers (Basel)       Date:  2022-02-09       Impact factor: 6.639

Review 10.  Tyrosine-Kinase Inhibitors Therapies with Mainly Anti-Angiogenic Activity in Advanced Renal Cell Carcinoma: Value of PET/CT in Response Evaluation.

Authors:  Girolamo Ranieri; Ilaria Marech; Artor Niccoli Asabella; Alessandra Di Palo; Mariangela Porcelli; Valentina Lavelli; Giuseppe Rubini; Cristina Ferrari; Cosmo Damiano Gadaleta
Journal:  Int J Mol Sci       Date:  2017-09-09       Impact factor: 5.923

  10 in total

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