Literature DB >> 24105251

Three-Tesla dynamic contrast-enhanced MRI: a critical assessment of its use for differentiation of renal lesion subtypes.

S Sevcenco1, L Ponhold, D Javor, F E Kuehhas, J Mauermann, A Miernik, M Schoenthaler, P A Baltzer.   

Abstract

PURPOSE: To evaluate the ability of dynamic contrast-enhanced (DCE) 3-T MRI for preoperative differentiation between benign and malignant renal tumors and RCC subtypes.
METHODS: Sixty consecutive patients undergoing preoperative DCE 3-T MRI of the kidney were evaluated in this retrospective IRB-approved evaluation. Fifty-four malignant tumors and 17 benign tumors upon surgical verification were included. Relative enhancement values of complete lesions and the most enhancing part of the lesions (hotspot) were measured using four repetitions: precontrast, arterial, venous, and delayed.
RESULTS: Mean relative enhancement patterns between malignant and benign lesions did not differ significantly during any postcontrast phase (p > 0.05). The highest mean enhancement during all postcontrast phases was identified in clear cell RCC followed by chromophobic RCC. The enhancement pattern in papillary RCC was significantly less than that of non-papillary RCC lesions. Arterial enhancement was an independent predictor for RCC subtypes (papillary vs. non-papillary, p = 0.008). The diagnostic accuracy for differentiation of papillary from non-papillary RCC based on ROC analysis was 76.4% [95% CI 62.2-87.2%]; p < 0.0001.
CONCLUSIONS: Dynamic contrast-enhanced MRI at 3 T showed intermediate diagnostic capability for differentiation between papillary and non-papillary RCC subtypes but could not differentiate between benign and malignant renal lesions.

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Year:  2013        PMID: 24105251     DOI: 10.1007/s00345-013-1177-1

Source DB:  PubMed          Journal:  World J Urol        ISSN: 0724-4983            Impact factor:   4.226


  15 in total

1.  Accuracy of fine needle aspiration in distinguishing subtypes of renal cell carcinoma.

Authors:  A A Renshaw; K R Lee; R Madge; S R Granter
Journal:  Acta Cytol       Date:  1997 Jul-Aug       Impact factor: 2.319

2.  Morphologic typing of papillary renal cell carcinoma: comparison of growth kinetics and patient survival in 66 cases.

Authors:  B Delahunt; J N Eble; M R McCredie; P B Bethwaite; J H Stewart; A M Bilous
Journal:  Hum Pathol       Date:  2001-06       Impact factor: 3.466

Review 3.  Pathologic features of renal cortical tumors.

Authors:  Satish K Tickoo; Anuradha Gopalan
Journal:  Urol Clin North Am       Date:  2008-11       Impact factor: 2.241

Review 4.  Contrast induced nephropathy: updated ESUR Contrast Media Safety Committee guidelines.

Authors:  Fulvio Stacul; Aart J van der Molen; Peter Reimer; Judith A W Webb; Henrik S Thomsen; Sameh K Morcos; Torsten Almén; Peter Aspelin; Marie-France Bellin; Olivier Clement; Gertraud Heinz-Peer
Journal:  Eur Radiol       Date:  2011-08-25       Impact factor: 5.315

5.  Small renal masses: assessment of lesion characterization and vascularity on dynamic contrast-enhanced MR imaging with fat suppression.

Authors:  M Scialpi; A Di Maggio; M Midiri; A Loperfido; G Angelelli; A Rotondo
Journal:  AJR Am J Roentgenol       Date:  2000-09       Impact factor: 3.959

Review 6.  Renal masses in the adult patient: the role of percutaneous biopsy.

Authors:  Stuart G Silverman; Yu Unn Gan; Koenraad J Mortele; Kemal Tuncali; Edmund S Cibas
Journal:  Radiology       Date:  2006-05-18       Impact factor: 11.105

7.  Renal masses: quantitative assessment of enhancement with dynamic MR imaging.

Authors:  Vincent B Ho; Scott F Allen; Maureen N Hood; Peter L Choyke
Journal:  Radiology       Date:  2002-09       Impact factor: 11.105

Review 8.  The genetic basis of cancer of the kidney.

Authors:  W Marston Linehan; McClellan M Walther; Berton Zbar
Journal:  J Urol       Date:  2003-12       Impact factor: 7.450

9.  Renal cell carcinoma: dynamic contrast-enhanced MR imaging for differentiation of tumor subtypes--correlation with pathologic findings.

Authors:  Maryellen R M Sun; Long Ngo; Elizabeth M Genega; Michael B Atkins; Myra E Finn; Neil M Rofsky; Ivan Pedrosa
Journal:  Radiology       Date:  2009-03       Impact factor: 11.105

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Authors:  Jae Heon Kim; Jae Hyun Bae; Kwang Woo Lee; Min Eui Kim; Seong Jin Park; Jae Young Park
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Review 1.  [Functional magnetic resonance imaging of the kidneys].

Authors:  R S Lanzman; M Notohamiprodjo; H J Wittsack
Journal:  Radiologe       Date:  2015-12       Impact factor: 0.635

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Journal:  AJR Am J Roentgenol       Date:  2018-07-31       Impact factor: 3.959

Review 3.  [Noninvasive phenotyping of renal tumors-current state of the art].

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