The use of nuclear morphometry to predict prognosis in pediatric urologic malignancies: A review

Alan W. Partin, John P. Gearhart, Michael P. Leonard, Brigid G. Leventhal, John K. Yoo, David Crooks, Jonathan I. Epstein, J. Bruce Beckwith

Research output: Contribution to journalArticle

Abstract

Wilms tumor, the most common pediatric urologic malignancy, and genitourinary rhabdomyosarcoma, the most common soft tissue sarcoma of childhood, respresent two of the most commonly diagnosed pediatric urologic malignancies. The introduction and use of multimodal therapy (surgery, radiation, and chemotherapy) by the National Wilms Tumor Study (NWTS) and the Inter‐group Rhabdomyosarcoma Study (IRS) groups have greatly improved the survival among children with these malignancies. Present survival rates for Wilms tumor exceed 85% and for rhabdomyosarcoma survival rates are approaching 80% as well. For Wilms tumor, current treatment trends suggest less intense therapy for those children with favorable histology tumors who are considered at relatively low risk for tumor recurrence. Likewise, the significant morbidity associated with the present therapy regimens for rhabdomyosarcomas has prompted investigators to search for individualized management schemes for children with a high probability of responding. The need for accurate criteria to separate these high and low risk groups becomes imperative. In this review we present our work using nuclear morphometry, as a prognostic indicator, to retrospectively predict response to therapy for children with Wilms tumors and genitourinary rhabdomyosarcomas. © 1993 Wiley‐Liss, Inc.

Original languageEnglish (US)
Pages (from-to)222-229
Number of pages8
JournalMedical and Pediatric Oncology
Volume21
Issue number3
DOIs
StatePublished - 1993

Keywords

  • Wilms tumor
  • genitourinary rhabdomyosarcoma

ASJC Scopus subject areas

  • Pediatrics, Perinatology, and Child Health
  • Oncology
  • Cancer Research

Fingerprint Dive into the research topics of 'The use of nuclear morphometry to predict prognosis in pediatric urologic malignancies: A review'. Together they form a unique fingerprint.

  • Cite this