Literature DB >> 12830327

Dynamic MRI and fine needle aspiration cytology in the evaluation of soft tissue lesions.

Hildur Einarsdóttir1, Veli Söderlund, Lambert Skoog, Henrik C F Bauer.   

Abstract

OBJECTIVE: To assess the usefulness of dynamic magnetic resonance imaging (DMRI) in the diagnosis of soft tissue tumors. DESIGN AND PATIENTS: A DMRI series of 33 patients with soft tissue lesions was evaluated with regard to start, pattern, and progression of enhancement. Early enhancement, predominantly peripheral, and a time-signal intensity (TSI) curve characterized by a steep rise to an early peak followed by a plateau or washout, were considered signs of malignancy. The results were compared with the initial fine needle aspiration cytology (FNAC) diagnosis and the final diagnosis.
RESULTS: Twenty of 23 malignant lesions and three of 10 benign lesions exhibited at least two of the three enhancement characteristics attributed to malignancy. Using two or more DMRI features of malignancy to dichotomize the series, the sensitivity and positive predictive value of the DMRI series were 87% and, the specificity and negative predictive value were 70%. FNAC was conclusive except in two cases.
CONCLUSION: In tumor centers that rely on FNAC for preoperative diagnosis DMRI can be reserved for cytologically inconclusive cases. In centers that rely on open biopsy, DMRI may be useful as a coarse discriminator between benign and malignant lesions. However, larger series of soft tissue tumors need to be evaluated to conclusively identify the clinical role of DMRI.

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Year:  2003        PMID: 12830327     DOI: 10.1007/s00256-003-0656-7

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


  15 in total

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Authors:  D A May; R B Good; D K Smith; T W Parsons
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Review 3.  1. Introduction to aspiration biopsy.

Authors:  J Zajicek
Journal:  Monogr Clin Cytol       Date:  1974

4.  Fine-needle aspiration cytology and immunocytochemistry of soft-tissue tumors and osteo/chondrosarcomas of the head and neck.

Authors:  L Skoog; S T Pereira; E Tani
Journal:  Diagn Cytopathol       Date:  1999-03       Impact factor: 1.582

5.  Response of osteosarcoma and Ewing sarcoma to preoperative chemotherapy: assessment with dynamic and static MR imaging and skeletal scintigraphy.

Authors:  R Erlemann; J Sciuk; A Bosse; J Ritter; C R Kusnierz-Glaz; P E Peters; P Wuisman
Journal:  Radiology       Date:  1990-06       Impact factor: 11.105

6.  Synovial sarcoma: dynamic contrast-enhanced MR imaging features.

Authors:  C S van Rijswijk; P C Hogendoorn; A H Taminiau; J L Bloem
Journal:  Skeletal Radiol       Date:  2001-01       Impact factor: 2.199

7.  Musculoskeletal tumors: does fast dynamic contrast-enhanced subtraction MR imaging contribute to the characterization?

Authors:  H J van der Woude; K L Verstraete; P C Hogendoorn; A H Taminiau; J Hermans; J L Bloem
Journal:  Radiology       Date:  1998-09       Impact factor: 11.105

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Authors:  J Rosai; M Akerman; P Dal Cin; I DeWever; C D Fletcher; N Mandahl; F Mertens; F Mitelman; A Rydholm; R Sciot; G Tallini; H Van den Berghe; W Van de Ven; R Vanni; H Willen
Journal:  Am J Surg Pathol       Date:  1996-10       Impact factor: 6.394

Review 9.  Fine needle aspiration (FNA) in the diagnosis of soft tissue tumours; a review of 22 years experience.

Authors:  H Willén; M Akerman; B Carlén
Journal:  Cytopathology       Date:  1995-08       Impact factor: 2.073

Review 10.  Dynamic contrast-enhanced MRI in clinical oncology: current status and future directions.

Authors:  Anwar R Padhani
Journal:  J Magn Reson Imaging       Date:  2002-10       Impact factor: 4.813

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Journal:  Pol J Radiol       Date:  2021-05-14

2.  Scope of FNAC in the diagnosis of soft tissue tumors--a study from a tertiary cancer referral center in India.

Authors:  Bharat Rekhi; Biru D Gorad; Anagha C Kakade; Rf Chinoy
Journal:  Cytojournal       Date:  2007-10-31       Impact factor: 2.091

Review 3.  Post-operative imaging of soft tissue sarcomas.

Authors:  S L J James; A M Davies
Journal:  Cancer Imaging       Date:  2008-02-27       Impact factor: 3.909

  3 in total

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