open access

Vol 70, No 3 (2019)
Original paper
Submitted: 2018-11-27
Accepted: 2018-11-28
Published online: 2019-01-11
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Spatio-temporal image correlation (STIC) in evaluation of advanced neuroendocrine tumours

Ksenia Janas1, Marek J. Kudła2, Adam Janas34, Jolanta Blicharz-Dorniak1, Beata Kos-Kudła5
·
Pubmed: 30633319
·
Endokrynol Pol 2019;70(3):219-223.
Affiliations
  1. Department of Endocrinology and Neuroendocrine Tumors, Medical University of Silesia, Katowice, Poland
  2. Clinical Department of Perinatology and Oncological Gynecology, School of Health Sciences in Katowice, Medical University of Silesia, Katowice, Poland
  3. Center of Cardiovascular Research and Development, American Heart of Poland, Katowice, Poland
  4. Faculty of Medicine and Health Sciences, Andrzej Frycz Modrzewski Krakow University, Kraków, Poland
  5. Department of Endocrinology and Neuroendocrine Tumors, Department of Pathophysiology and Endocrinology, Medical University of Silesia, Katowice, Poland

open access

Vol 70, No 3 (2019)
Original Paper
Submitted: 2018-11-27
Accepted: 2018-11-28
Published online: 2019-01-11

Abstract

Introduction: 4D Ultrasound technology merging the Power Doppler option called High-Definition Flow (HDF) with Spatio-Temporal Image Correlation (STIC) is used in gynaecology and obstetrics. It seems to be a promising tool in assessing tissue vascularisation. The aim of the paper was to assess whether HDF STIC technique could be a useful tool for the evaluation of gastro-entero-pancreatic neuroendocrine neoplasm (GEP-NEN) advancement.

Material and methods: Forty-eight patients [mean age 57.7 ± 10.3 years; male 40.9% (n = 18)] diagnosed with metastatic GEP-NENs were included in the analysis. All subjects were enrolled in the Department of Endocrinology and Neuroendocrine Tumours, Medical University of Silesia, Katowice. We analysed liver metastases. Patients with G3 grading or faintly vascularised lesions were excluded. HDF STIC volumes were acquired during USG examination. 4D indices [volumetric pulsatility index (vPI) and volumetric systolic/diastolic index (vS/D)] were calculated using dedicated software.

Results: There were no correlations between vS/D and Ki-67 [p = 0.67; r = –0.19; (–0.28–0.19)], CgA [p = 0.47; r = –0.11; (–0.38–0,19)], 5-HIAA [p = 0.52; r = –0.09 (–0.37–0.2)], serotonin [p = 0.83; r = –0.03 (–0.32–0.26)], and VCAM-1 (p = 0.62; r = 0.09 (–03–0.47)]. The were no correlations between vPI and Ki-67 [p = 0.29; r = –0.16 (–0.45–0.14)], CgA (p = 0.46; r = –0.11 (–0.39–0.19)], 5-HIAA [p = 0.52; r = –0.09 (–0.37–0.2)], serotonin [p = 0.82; r = –0.03 (–0.32–0.26)], and VCAM-1 (p = 0.62; r = –0.09 (–03–0.47)]. There was no significant difference between carcinoid versus non-carcinoid patients if compared by vS/D and vPI (p = 0.62, p = 0.61, respectively).

Conclusions: HDF STIC seems not to be an efficient marker to assess advancement of NENs, due to lack of correlation with widely used and approved markers of progression. 

Abstract

Introduction: 4D Ultrasound technology merging the Power Doppler option called High-Definition Flow (HDF) with Spatio-Temporal Image Correlation (STIC) is used in gynaecology and obstetrics. It seems to be a promising tool in assessing tissue vascularisation. The aim of the paper was to assess whether HDF STIC technique could be a useful tool for the evaluation of gastro-entero-pancreatic neuroendocrine neoplasm (GEP-NEN) advancement.

Material and methods: Forty-eight patients [mean age 57.7 ± 10.3 years; male 40.9% (n = 18)] diagnosed with metastatic GEP-NENs were included in the analysis. All subjects were enrolled in the Department of Endocrinology and Neuroendocrine Tumours, Medical University of Silesia, Katowice. We analysed liver metastases. Patients with G3 grading or faintly vascularised lesions were excluded. HDF STIC volumes were acquired during USG examination. 4D indices [volumetric pulsatility index (vPI) and volumetric systolic/diastolic index (vS/D)] were calculated using dedicated software.

Results: There were no correlations between vS/D and Ki-67 [p = 0.67; r = –0.19; (–0.28–0.19)], CgA [p = 0.47; r = –0.11; (–0.38–0,19)], 5-HIAA [p = 0.52; r = –0.09 (–0.37–0.2)], serotonin [p = 0.83; r = –0.03 (–0.32–0.26)], and VCAM-1 (p = 0.62; r = 0.09 (–03–0.47)]. The were no correlations between vPI and Ki-67 [p = 0.29; r = –0.16 (–0.45–0.14)], CgA (p = 0.46; r = –0.11 (–0.39–0.19)], 5-HIAA [p = 0.52; r = –0.09 (–0.37–0.2)], serotonin [p = 0.82; r = –0.03 (–0.32–0.26)], and VCAM-1 (p = 0.62; r = –0.09 (–03–0.47)]. There was no significant difference between carcinoid versus non-carcinoid patients if compared by vS/D and vPI (p = 0.62, p = 0.61, respectively).

Conclusions: HDF STIC seems not to be an efficient marker to assess advancement of NENs, due to lack of correlation with widely used and approved markers of progression. 

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Keywords

NENs; metastasis; HDF; STIC; four-dimensional sonography

About this article
Title

Spatio-temporal image correlation (STIC) in evaluation of advanced neuroendocrine tumours

Journal

Endokrynologia Polska

Issue

Vol 70, No 3 (2019)

Article type

Original paper

Pages

219-223

Published online

2019-01-11

Page views

1996

Article views/downloads

881

DOI

10.5603/EP.a2019.0001

Pubmed

30633319

Bibliographic record

Endokrynol Pol 2019;70(3):219-223.

Keywords

NENs
metastasis
HDF
STIC
four-dimensional sonography

Authors

Ksenia Janas
Marek J. Kudła
Adam Janas
Jolanta Blicharz-Dorniak
Beata Kos-Kudła

References (11)
  1. Kos-Kudła B, Blicharz-Dorniak J, Strzelczyk J. Diagnostic and therapeutic guidelines for gastro-entero-pancreatic neuroendocrine neoplasms (recommended by the Polish Network of Neuroendocrine Tumours). Endokrynol Pol. 2017; 68(2): 79–110.
  2. Pavel M, O'Toole D, Costa F, et al. Vienna Consensus Conference participants. ENETS Consensus Guidelines Update for the Management of Distant Metastatic Disease of Intestinal, Pancreatic, Bronchial Neuroendocrine Neoplasms (NEN) and NEN of Unknown Primary Site. Neuroendocrinology. 2016; 103(2): 172–185.
  3. Frilling A, Modlin IM, Kidd M, et al. Working Group on Neuroendocrine Liver Metastases. Recommendations for management of patients with neuroendocrine liver metastases. Lancet Oncol. 2014; 15(1): e8–e21.
  4. Kim SeH, Lee JM, Kim YJ, et al. High-definition flow Doppler ultrasonographic technique to assess hepatic vasculature compared with color or power Doppler ultrasonography: preliminary experience. J Ultrasound Med. 2008; 27(10): 1491–1501.
  5. Kudla MJ, Alcázar JL. Spatiotemporal image correlation using high-definition flow: a new method for assessing ovarian vascularization. J Ultrasound Med. 2010; 29(10): 1469–1474.
  6. Kudla MJ, Alcázar JL. Spatiotemporal image correlation with spherical sampling and high-definition flow: new 4-dimensional method for assessment of tissue vascularization changes during the cardiac cycle: reproducibility analysis. J Ultrasound Med. 2012; 31(1): 73–80.
  7. Alcázar JL, Kudla MJ. Three-dimensional vascular indices calculated using conventional power Doppler and high-definition flow imaging: are there differences? J Ultrasound Med. 2010; 29(5): 761–766.
  8. Kudla MJ, Kandzia T, Alcázar JL. Comparison of two methods for calculating the mean vascularization index of ovarian stroma on the basis of spatio-temporal image correlation high-definition flow technology. Ultrasound Med Biol. 2013; 39(11): 2202–2204.
  9. Viñals F, Poblete P, Giuliano A. Spatio-temporal image correlation (STIC): a new tool for the prenatal screening of congenital heart defects. Ultrasound Obstet Gynecol. 2003; 22(4): 388–394.
  10. Kudla MJ, Timor-Tritsch IE, Hope JM, et al. Spherical tissue sampling in 3-dimensional power Doppler angiography: a new approach for evaluation of ovarian tumors. J Ultrasound Med. 2008; 27(3): 425–433.
  11. Polanski LT, Baumgarten MN, Brosens J, et al. Endometrial spatio-temporal image correlation (STIC) and prediction of outcome following assisted reproductive treatment. Eur J Obstet Gynecol Reprod Biol. 2016; 203: 320–325.

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