Literature DB >> 11685477

Grading in soft tissue tumors: principles and problems.

A M Oliveira1, A G Nascimento.   

Abstract

Histologic grading has been considered the most important prognostic factor for soft tissue sarcomas. Several grading systems have been proposed based on the assessment of morphologic features in heterogeneous groups of sarcomas. Currently, the French Federation of Cancer Centers (FNCLCC) and the National Cancer Institute (NCI) grading systems are the most commonly used. These systems are based on a few morphologic predictors of biologic behavior, which is justifiable because of the rarity of soft tissue sarcomas. Nonetheless, over- or underestimation of prognosis may occur because of an uneven representation of specific sarcomas with rather distinct biologic behaviors among studies of grading systems. In addition, lack of standardization of morphologic criteria and frequent omission of the influence of clinical factors on the final survival analyses preclude universal acceptance of a particular grading system. New advances in diagnostic imaging, quantitative morphometric technologies, cytogenetics, and molecular genetics, allied with alternative analytic data systems, may provide better validation, reproducibility, and prognostic capabilities for current and future grading systems. This article summarizes and critically analyzes the various important grading systems that have thus far been proposed and suggests alternatives for the elaboration of more reproducible systems with higher predictive capabilities.

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Mesh:

Year:  2001        PMID: 11685477     DOI: 10.1007/s002560100408

Source DB:  PubMed          Journal:  Skeletal Radiol        ISSN: 0364-2348            Impact factor:   2.199


  15 in total

1.  Conventional MR and diffusion-weighted imaging of musculoskeletal soft tissue malignancy: correlation with histologic grading.

Authors:  Avneesh Chhabra; Oganes Ashikyan; Chenelle Slepicka; Nathan Dettori; Helena Hwang; Alexandra Callan; Rohit R Sharma; Yin Xi
Journal:  Eur Radiol       Date:  2018-12-03       Impact factor: 5.315

Review 2.  Clinical applications of molecular imaging in sarcoma evaluation.

Authors:  Rodney J Hicks; Guy C Toner; Peter F M Choong
Journal:  Cancer Imaging       Date:  2005-06-21       Impact factor: 3.909

3.  [Significance of sonographically guided percutaneous needle biopsy in the diagnostics of soft tissue tumors].

Authors:  A K Gillenberg; F Länger; U Brunnemer; V Grünwald; C Krettek; T Gösling
Journal:  Orthopade       Date:  2013-11       Impact factor: 1.087

4.  Use of diagnostic dynamic contrast-enhanced (DCE)-MRI for targeting of soft tissue tumour biopsies at 3T: preliminary results.

Authors:  Iris-Melanie Noebauer-Huhmann; Gabriele Amann; Martin Krssak; Joannis Panotopoulos; Pavol Szomolanyi; Michael Weber; Christian Czerny; Martin Breitenseher; Guenther Grabner; Wolfgang Bogner; Stefan Nemec; Martin Dominkus; Philipp Funovics; Reinhard Windhager; Siegfried Trattnig
Journal:  Eur Radiol       Date:  2015-01-11       Impact factor: 5.315

Review 5.  [Grading of soft tissue and bone sarcomas].

Authors:  I Petersen; E Wardelmann
Journal:  Pathologe       Date:  2016-07       Impact factor: 1.011

6.  Fluorodeoxyglucose positron emission tomography in leiomyosarcoma: imaging characteristics.

Authors:  Stephanie E W Punt; Janet F Eary; Janet O'Sullivan; Ernest U Conrad
Journal:  Nucl Med Commun       Date:  2009-07       Impact factor: 1.690

7.  Curent concepts in pathology of soft tissue sarcoma.

Authors:  Nuzhat Husain; Nidhi Verma
Journal:  Indian J Surg Oncol       Date:  2012-04-03

Review 8.  Modern pathological evaluation of soft tissue sarcoma specimens and its potential role in soft tissue sarcoma research.

Authors:  Paul Zhang; John S J Brooks
Journal:  Curr Treat Options Oncol       Date:  2004-12

9.  Prognostic significance of CD155 mRNA expression in soft tissue sarcomas.

Authors:  Satoru Atsumi; Akihiko Matsumine; Hidemi Toyoda; Rui Niimi; Takahiro Iino; Akihiro Sudo
Journal:  Oncol Lett       Date:  2013-04-02       Impact factor: 2.967

Review 10.  Current diagnostics and treatment of fibrosarcoma -perspectives for future therapeutic targets and strategies.

Authors:  Daniela Augsburger; Peter J Nelson; Thomas Kalinski; Andrej Udelnow; Thomas Knösel; Monika Hofstetter; Ji Wei Qin; Yan Wang; Arvid Sen Gupta; Susanne Bonifatius; Minglun Li; Christiane J Bruns; Yue Zhao
Journal:  Oncotarget       Date:  2017-08-10
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