Literature DB >> 28717538

Assessment of prostate cancer with integrated CT-perfusion using a sector-wise approach.

Matteo Ferrari1, Martin Huellner2, Chantal Pauli3, Burkhardt Seifert4, Hansjörg Danuser1, Patrick Veit-Haibach2, Agostino Mattei1.   

Abstract

OBJECTIVE: The role of computed tomography perfusion (CTP) in characterizing primary prostate cancer (PCa) is not definitely known. The aim of the present study was to investigate the relationship between CTP parameters and histopathological features of PCa tissue, using a sector-wise approach.
MATERIAL AND METHODS: Fifty-one patients with biopsy-proven PCa underwent prospectively a CTP scan prior to radical prostatectomy. Blood flow (BF), mean blood volume (BV) and mean transit time (MTT) were calculated, with the prostate being divided into eight sectors. Corresponding sector-wise histopathological analysis of whole-mount prostatectomy specimens was performed to determine tumoral area (mm2), mean microvessel density (MVD), Gleason patterns (primary, secondary) and total Gleason score. Spearman's rank correlation coefficient was used to analyze the association between CTP and histopathological parameters.
RESULTS: BF correlated weakly with tumoral area [ρs coefficient (p-value): 0.25 (0.00)] and MVD [ρs coefficient (p-value): 0.23 (0.00)]. No valuable correlation was found between CTP parameters and primary and secondary Gleason patterns, whereas total Gleason score was weakly correlated with BV [ρs coefficient (p-value): 0.22 (0.00)] and MTT [ρs coefficient (p-value): 0.25 (0.00)].
CONCLUSION: BF correlates weakly with size and vascularity of PCa. There is a need for further studies to elucidate the association between CTP parameters and other histopathological parameters.

Entities:  

Keywords:  Computed tomography; Gleason score; multimodal imaging; perfusion imaging; prostate cancer

Year:  2017        PMID: 28717538      PMCID: PMC5503433          DOI: 10.5152/tud.2017.11455

Source DB:  PubMed          Journal:  Turk J Urol        ISSN: 2149-3235


  28 in total

Review 1.  Perfusion CT for the assessment of tumour vascularity: which protocol?

Authors:  K A Miles
Journal:  Br J Radiol       Date:  2003       Impact factor: 3.039

2.  Correlation of gleason scores with magnetic resonance diffusion tensor imaging in peripheral zone prostate cancer.

Authors:  Liang Li; Daniel J A Margolis; Ming Deng; Jie Cai; Ling Yuan; Zhaoyan Feng; Xiangde Min; Zhiquan Hu; Daoyu Hu; Jihong Liu; Liang Wang
Journal:  J Magn Reson Imaging       Date:  2014-12-03       Impact factor: 4.813

3.  Tracer kinetic model selection for dynamic contrast-enhanced computed tomography imaging of prostate cancer.

Authors:  Johannes G Korporaal; Marco van Vulpen; Cornelis A T van den Berg; Uulke A van der Heide
Journal:  Invest Radiol       Date:  2012-01       Impact factor: 6.016

4.  Tumor microvessel density as a predictor of recurrence after resection of hepatocellular carcinoma: a prospective study.

Authors:  Ronnie Tung-Ping Poon; Irene Oi-Lin Ng; Cecilia Lau; Wun-Ching Yu; Zhen-Fan Yang; Sheung-Tat Fan; John Wong
Journal:  J Clin Oncol       Date:  2002-04-01       Impact factor: 44.544

5.  Reproducibility of perfusion parameters obtained from perfusion CT in lung tumors.

Authors:  Chaan S Ng; Adam G Chandler; Wei Wei; Ella F Anderson; Delise H Herron; Chusilp Charnsangavej; Razelle Kurzrock
Journal:  AJR Am J Roentgenol       Date:  2011-07       Impact factor: 3.959

6.  Diffusion-weighted and dynamic contrast-enhanced MRI of prostate cancer: correlation of quantitative MR parameters with Gleason score and tumor angiogenesis.

Authors:  Aytekin Oto; Cheng Yang; Arda Kayhan; Maria Tretiakova; Tatjana Antic; Christine Schmid-Tannwald; Scott Eggener; Gregory S Karczmar; Walter M Stadler
Journal:  AJR Am J Roentgenol       Date:  2011-12       Impact factor: 3.959

7.  Relationship between apparent diffusion coefficients at 3.0-T MR imaging and Gleason grade in peripheral zone prostate cancer.

Authors:  Thomas Hambrock; Diederik M Somford; Henkjan J Huisman; Inge M van Oort; J Alfred Witjes; Christina A Hulsbergen-van de Kaa; Thomas Scheenen; Jelle O Barentsz
Journal:  Radiology       Date:  2011-05       Impact factor: 11.105

8.  Prognostic value of microvessel density in prostate cancer: a tissue microarray study.

Authors:  Andreas Erbersdobler; Hendrik Isbarn; Kira Dix; Isabel Steiner; Thorsten Schlomm; Martina Mirlacher; Guido Sauter; Alexander Haese
Journal:  World J Urol       Date:  2009-08-28       Impact factor: 4.226

9.  Microvessel density in prostate carcinoma.

Authors:  A V Bono; N Celato; V Cova; M Salvadore; S Chinetti; R Novario
Journal:  Prostate Cancer Prostatic Dis       Date:  2002       Impact factor: 5.554

10.  Perfusion CT is a valuable diagnostic method for prostate cancer: a prospective study of 94 patients.

Authors:  Elzbieta Luczynska; Pawel Blecharz; Sonia Dyczek; Andrzej Stelmach; Giuseppe Petralia; Massimo Bellomi; Barbara Alicja Jereczek-Fossa; Jerzy Jakubowicz
Journal:  Ecancermedicalscience       Date:  2014-10-27
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