Skip to main content
Top
Published in: European Radiology 1/2016

01-01-2016 | Interventional

Radiologic-pathologic analysis of quantitative 3D tumour enhancement on contrast-enhanced MR imaging: a study of ROI placement

Authors: Arun Chockalingam, Rafael Duran, Jae Ho Sohn, Rüdiger Schernthaner, Julius Chapiro, Howard Lee, Sonia Sahu, Sonny Nguyen, Jean-François Geschwind, MingDe Lin

Published in: European Radiology | Issue 1/2016

Login to get access

Abstract

Objectives

To investigate the influence of region-of-interest (ROI) placement on 3D tumour enhancement [Quantitative European Association for the Study of the Liver (qEASL)] in hepatocellular carcinoma (HCC) patients treated with transcatheter arterial chemoembolization (TACE).

Methods

Phase 1: 40 HCC patients had nine ROIs placed by one reader using systematic techniques (3 ipsilateral to the lesion, 3 contralateral to the lesion, and 3 dispersed throughout the liver) and qEASL variance was measured. Intra-class correlations were computed. Phase 2: 15 HCC patients with histosegmentation were selected. Six ROIs were systematically placed by AC (3 ROIs ipsilateral and 3 ROIs contralateral to the lesion). Three ROIs were placed by 2 radiologists. qEASL values were compared to histopathology by Pearson’s correlation, linear regression, and median difference.

Results

Phase 1: The dispersed method (abandoned in phase 2) had low consistency and high variance. Phase 2: qEASL correlated strongly with pathology in systematic methods [Pearson’s correlation coefficient = 0.886 (ipsilateral) and 0.727 (contralateral)] and in clinical methods (0.625 and 0.879). However, ipsilateral placement matched best with pathology (median difference: 5.4 %; correlation: 0.89; regression CI: [0.904, 0.1409]).

Conclusions

qEASL is a robust method with comparable values among tested placements. Ipsilateral placement showed high consistency and better pathological correlation.

Key points

Ipsilateral and contralateral ROI placement produces high consistency and low variance.
Both ROI placement methods produce qEASL values that correlate well with histopathology.
Ipsilateral ROI placement produces best correlation to pathology along with high consistency.
Appendix
Available only for authorised users
Literature
2.
go back to reference Chockalingam APC (2013) Battle of the bulge and the burden of gastrointestinal cancers. Pract Gastroenterol XXXVII:15–24 Chockalingam APC (2013) Battle of the bulge and the burden of gastrointestinal cancers. Pract Gastroenterol XXXVII:15–24
3.
go back to reference European Association For The Study Of The L, European Organisation For R, Treatment Of C (2012) EASL-EORTC clinical practice guidelines: management of hepatocellular carcinoma. J Hepatol 56:908–943CrossRef European Association For The Study Of The L, European Organisation For R, Treatment Of C (2012) EASL-EORTC clinical practice guidelines: management of hepatocellular carcinoma. J Hepatol 56:908–943CrossRef
4.
go back to reference Lo CM, Ngan H, Tso WK et al (2002) Randomized controlled trial of transarterial lipiodol chemoembolization for unresectable hepatocellular carcinoma. Hepatology 35:1164–1171CrossRefPubMed Lo CM, Ngan H, Tso WK et al (2002) Randomized controlled trial of transarterial lipiodol chemoembolization for unresectable hepatocellular carcinoma. Hepatology 35:1164–1171CrossRefPubMed
5.
go back to reference Llovet JM, Real MI, Montana X et al (2002) Arterial embolisation or chemoembolisation versus symptomatic treatment in patients with unresectable hepatocellular carcinoma: a randomised controlled trial. Lancet 359:1734–1739CrossRefPubMed Llovet JM, Real MI, Montana X et al (2002) Arterial embolisation or chemoembolisation versus symptomatic treatment in patients with unresectable hepatocellular carcinoma: a randomised controlled trial. Lancet 359:1734–1739CrossRefPubMed
6.
go back to reference Duran R, Chapiro J, Frangakis C et al (2014) Uveal melanoma metastatic to the liver: the role of quantitative volumetric contrast-enhanced MR imaging in the assessment of early tumor response after transarterial chemoembolization. Transl Oncol 7:447–455PubMedCentralCrossRefPubMed Duran R, Chapiro J, Frangakis C et al (2014) Uveal melanoma metastatic to the liver: the role of quantitative volumetric contrast-enhanced MR imaging in the assessment of early tumor response after transarterial chemoembolization. Transl Oncol 7:447–455PubMedCentralCrossRefPubMed
7.
go back to reference Chapiro J, Wood LD, Lin M et al (2014) Radiologic-pathologic analysis of contrast-enhanced and diffusion-weighted MR imaging in patients with HCC after TACE: diagnostic accuracy of 3D quantitative image analysis. Radiology 273:746–758PubMedCentralCrossRefPubMed Chapiro J, Wood LD, Lin M et al (2014) Radiologic-pathologic analysis of contrast-enhanced and diffusion-weighted MR imaging in patients with HCC after TACE: diagnostic accuracy of 3D quantitative image analysis. Radiology 273:746–758PubMedCentralCrossRefPubMed
9.
go back to reference Takeda H, Osaki Y, Inuzuka T, Nakajima J, Matsuda F, Sakamoto A, Hatamaru K, Henmi S, Ishikawa T, Saito S, Nishikawa H, Kita R, Kimura T (2012) Appropriateness and limitations of modified response evaluation criteria in solid tumors (mRECIST) in evaluating the efficacy of molecular-targeted therapy for patients with hepatocellular carcinoma. Jpn Soc Hepatol Kanzo 53:147–154 Takeda H, Osaki Y, Inuzuka T, Nakajima J, Matsuda F, Sakamoto A, Hatamaru K, Henmi S, Ishikawa T, Saito S, Nishikawa H, Kita R, Kimura T (2012) Appropriateness and limitations of modified response evaluation criteria in solid tumors (mRECIST) in evaluating the efficacy of molecular-targeted therapy for patients with hepatocellular carcinoma. Jpn Soc Hepatol Kanzo 53:147–154
10.
go back to reference Chapiro J, Duran R, MingDe Lin, Rüdiger Schernthaner, David Lesage, Zhijun Wang, Lynn Jeannette Savic, Jean-François Geschwind (2014) Early Survival Prediction after Intraarterial Therapies: A 3D quantitative MRI assessment of Tumor Response after TACE or Radioembolization of Colorectal Cancer Metastases to the Liver. Eur Radiol Epub ahead of print Chapiro J, Duran R, MingDe Lin, Rüdiger Schernthaner, David Lesage, Zhijun Wang, Lynn Jeannette Savic, Jean-François Geschwind (2014) Early Survival Prediction after Intraarterial Therapies: A 3D quantitative MRI assessment of Tumor Response after TACE or Radioembolization of Colorectal Cancer Metastases to the Liver. Eur Radiol Epub ahead of print
11.
go back to reference Lin M, Pellerin O, Bhagat N et al (2012) Quantitative and volumetric european association for the study of the liver and response evaluation criteria in solid tumors measurements: feasibility of a semiautomated software method to assess tumor response after transcatheter arterial chemoembolization. J Vasc Interv Radiol 23:1629–1637PubMedCentralCrossRefPubMed Lin M, Pellerin O, Bhagat N et al (2012) Quantitative and volumetric european association for the study of the liver and response evaluation criteria in solid tumors measurements: feasibility of a semiautomated software method to assess tumor response after transcatheter arterial chemoembolization. J Vasc Interv Radiol 23:1629–1637PubMedCentralCrossRefPubMed
12.
go back to reference Pellerin O, Lin M, Bhagat N, Ardon R, Mory B, Geschwind JF (2013) Comparison of semi-automatic volumetric VX2 hepatic tumor segmentation from cone beam CT and multi-detector CT with histology in rabbit models. Acad Radiol 20:115–121PubMedCentralCrossRefPubMed Pellerin O, Lin M, Bhagat N, Ardon R, Mory B, Geschwind JF (2013) Comparison of semi-automatic volumetric VX2 hepatic tumor segmentation from cone beam CT and multi-detector CT with histology in rabbit models. Acad Radiol 20:115–121PubMedCentralCrossRefPubMed
13.
go back to reference Tacher V, Lin M, Chao M et al (2013) Semiautomatic volumetric tumor segmentation for hepatocellular carcinoma: comparison between C-arm cone beam computed tomography and MRI. Acad Radiol 20:446–452PubMedCentralCrossRefPubMed Tacher V, Lin M, Chao M et al (2013) Semiautomatic volumetric tumor segmentation for hepatocellular carcinoma: comparison between C-arm cone beam computed tomography and MRI. Acad Radiol 20:446–452PubMedCentralCrossRefPubMed
14.
go back to reference Viviani R (2010) Unbiased ROI selection in neuroimaging studies of individual differences. Neuroimage 50:184–189CrossRefPubMed Viviani R (2010) Unbiased ROI selection in neuroimaging studies of individual differences. Neuroimage 50:184–189CrossRefPubMed
15.
go back to reference Murtz P, Flacke S, Traber F, van den Brink JS, Gieseke J, Schild HH (2002) Abdomen: diffusion-weighted MR imaging with pulse-triggered single-shot sequences. Radiology 224:258–264CrossRefPubMed Murtz P, Flacke S, Traber F, van den Brink JS, Gieseke J, Schild HH (2002) Abdomen: diffusion-weighted MR imaging with pulse-triggered single-shot sequences. Radiology 224:258–264CrossRefPubMed
16.
go back to reference Bossuyt PM, Reitsma JB, Bruns DE et al (2003) The STARD statement for reporting studies of diagnostic accuracy: explanation and elaboration. Ann Intern Med 138:W1–W12CrossRefPubMed Bossuyt PM, Reitsma JB, Bruns DE et al (2003) The STARD statement for reporting studies of diagnostic accuracy: explanation and elaboration. Ann Intern Med 138:W1–W12CrossRefPubMed
17.
go back to reference Lee H, Chapiro J, Schernthaner R, Duran R, Wang Z, Gorodetski B, Geschwind J-F, Lin M (2015) How I do it: a practical database management system to assist clinical research teams with data collecting, organization, and reporting. Acad Radiol 22:527–533 Lee H, Chapiro J, Schernthaner R, Duran R, Wang Z, Gorodetski B, Geschwind J-F, Lin M (2015) How I do it: a practical database management system to assist clinical research teams with data collecting, organization, and reporting. Acad Radiol 22:527–533
18.
go back to reference Bruix J, Sherman M, Llovet JM et al (2001) Clinical management of hepatocellular carcinoma. Conclusions of the Barcelona-2000 EASL conference. European association for the study of the liver. J Hepatol 35:421–430CrossRefPubMed Bruix J, Sherman M, Llovet JM et al (2001) Clinical management of hepatocellular carcinoma. Conclusions of the Barcelona-2000 EASL conference. European association for the study of the liver. J Hepatol 35:421–430CrossRefPubMed
19.
go back to reference Lencioni R, Llovet JM (2010) Modified RECIST (mRECIST) assessment for hepatocellular carcinoma. Semin Liver Dis 30:52–60CrossRefPubMed Lencioni R, Llovet JM (2010) Modified RECIST (mRECIST) assessment for hepatocellular carcinoma. Semin Liver Dis 30:52–60CrossRefPubMed
20.
go back to reference Mitsufuji T, Shinagawa Y, Fujimitsu R et al (2013) Measurement consistency of MR elastography at 3.0 T: comparison among three different region-of-interest placement methods. Jpn J Radiol 31:336–341CrossRefPubMed Mitsufuji T, Shinagawa Y, Fujimitsu R et al (2013) Measurement consistency of MR elastography at 3.0 T: comparison among three different region-of-interest placement methods. Jpn J Radiol 31:336–341CrossRefPubMed
21.
go back to reference Reeder SB, Cruite I, Hamilton G, Sirlin CB (2011) Quantitative assessment of liver Fat with magnetic resonance imaging and spectroscopy. J Magn Reson Imaging 34:729–749CrossRefPubMed Reeder SB, Cruite I, Hamilton G, Sirlin CB (2011) Quantitative assessment of liver Fat with magnetic resonance imaging and spectroscopy. J Magn Reson Imaging 34:729–749CrossRefPubMed
22.
go back to reference Heye T, Merkle EM, Reiner CS et al (2013) Reproducibility of dynamic contrast-enhanced MR imaging Part II. Comparison of intra- and interobserver variability with manual region of interest placement versus semiautomatic lesion segmentation and histogram analysis. Radiology 266:812–821CrossRefPubMed Heye T, Merkle EM, Reiner CS et al (2013) Reproducibility of dynamic contrast-enhanced MR imaging Part II. Comparison of intra- and interobserver variability with manual region of interest placement versus semiautomatic lesion segmentation and histogram analysis. Radiology 266:812–821CrossRefPubMed
23.
go back to reference Tomaru Y, Inoue T, Oriuchi N, Takahashi K, Endo K (1998) Semi-automated renal region of interest selection method using the double-threshold technique: inter-operator variability in quantitating 99mTc-MAG3 renal uptake. Eur J Nucl Med 25:55–59CrossRefPubMed Tomaru Y, Inoue T, Oriuchi N, Takahashi K, Endo K (1998) Semi-automated renal region of interest selection method using the double-threshold technique: inter-operator variability in quantitating 99mTc-MAG3 renal uptake. Eur J Nucl Med 25:55–59CrossRefPubMed
24.
go back to reference Sattarivand M, Caldwell C, Poon I, Soliman H, Mah K (2013) Effects of ROI placement on PET-based assessment of tumor response to therapy. Int J Mol Imaging 2013:132804PubMedCentralPubMed Sattarivand M, Caldwell C, Poon I, Soliman H, Mah K (2013) Effects of ROI placement on PET-based assessment of tumor response to therapy. Int J Mol Imaging 2013:132804PubMedCentralPubMed
25.
go back to reference Habte F, Budhiraja S, Keren S, Doyle TC, Levin CS, Paik DS (2013) In situ study of the impact of inter- and intra-reader variability on region of interest (ROI) analysis in preclinical molecular imaging. Am J Nucl Med Mol Imaging 3:175–181PubMedCentralPubMed Habte F, Budhiraja S, Keren S, Doyle TC, Levin CS, Paik DS (2013) In situ study of the impact of inter- and intra-reader variability on region of interest (ROI) analysis in preclinical molecular imaging. Am J Nucl Med Mol Imaging 3:175–181PubMedCentralPubMed
26.
go back to reference Cutajar M, Mendichovszky IA, Tofts PS, Gordon I (2010) The importance of AIF ROI selection in DCE-MRI renography: reproducibility and variability of renal perfusion and filtration. Eur J Radiol 74:e154–e160CrossRefPubMed Cutajar M, Mendichovszky IA, Tofts PS, Gordon I (2010) The importance of AIF ROI selection in DCE-MRI renography: reproducibility and variability of renal perfusion and filtration. Eur J Radiol 74:e154–e160CrossRefPubMed
27.
go back to reference Levman J, Warner E, Causer P, Martel A (2014) Semi-automatic region-of-interest segmentation based computer-aided diagnosis of mass lesions from dynamic contrast-enhanced magnetic resonance imaging based breast cancer screening. J Digit Imaging 27:670–678PubMedCentralCrossRefPubMed Levman J, Warner E, Causer P, Martel A (2014) Semi-automatic region-of-interest segmentation based computer-aided diagnosis of mass lesions from dynamic contrast-enhanced magnetic resonance imaging based breast cancer screening. J Digit Imaging 27:670–678PubMedCentralCrossRefPubMed
28.
go back to reference Vouche M, Kulik L, Atassi R et al (2013) Radiological-pathological analysis of WHO, RECIST, EASL, mRECIST and DWI: Imaging analysis from a prospective randomized trial of Y90 +/- sorafenib. Hepatology 58:1655–1666CrossRefPubMed Vouche M, Kulik L, Atassi R et al (2013) Radiological-pathological analysis of WHO, RECIST, EASL, mRECIST and DWI: Imaging analysis from a prospective randomized trial of Y90 +/- sorafenib. Hepatology 58:1655–1666CrossRefPubMed
29.
go back to reference Shinozaki K, Yoshimitsu K, Irie H et al (2004) Comparison of test-injection method and fixed-time method for depiction of hepatocellular carcinoma using dynamic steady-state free precession magnetic resonance imaging. J Comput Assist Tomogr 28:628–634CrossRefPubMed Shinozaki K, Yoshimitsu K, Irie H et al (2004) Comparison of test-injection method and fixed-time method for depiction of hepatocellular carcinoma using dynamic steady-state free precession magnetic resonance imaging. J Comput Assist Tomogr 28:628–634CrossRefPubMed
Metadata
Title
Radiologic-pathologic analysis of quantitative 3D tumour enhancement on contrast-enhanced MR imaging: a study of ROI placement
Authors
Arun Chockalingam
Rafael Duran
Jae Ho Sohn
Rüdiger Schernthaner
Julius Chapiro
Howard Lee
Sonia Sahu
Sonny Nguyen
Jean-François Geschwind
MingDe Lin
Publication date
01-01-2016
Publisher
Springer Berlin Heidelberg
Published in
European Radiology / Issue 1/2016
Print ISSN: 0938-7994
Electronic ISSN: 1432-1084
DOI
https://doi.org/10.1007/s00330-015-3812-2

Other articles of this Issue 1/2016

European Radiology 1/2016 Go to the issue