Prediction of the histopathologic findings of intrahepatic cholangiocarcinoma: qualitative and quantitative assessment of diffusion-weighted imaging.
Objective: To correlate qualitative and quantitative diffusion weighted imaging (DWI) characteristics of intrahepatic cholangiocarcinoma (ICC) with histopathologic tumour grade and fibrosis content.Methods: Fifty-one patients (21M/30F; mean age 61y) with ICC and MRI including DWI were included in th...
| Published in: | European Radiology Vol. 28; no. 5; pp. 2047 - 2058 |
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| Main Authors: | , , , , , , , , , , , , , |
| Format: | research Journal Article |
| Published: |
Springer Nature
May2018
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| Online Access: | View this record in EBSCOhost |
| fields | @attributes: recordID: 1 pdfLink: plink: https://search.ebscohost.com/login.aspx?direct=true&db=ccm&AN=128864688&site=ehost-live header: @attributes: shortDbName: ccm uiTerm: 128864688 longDbName: CINAHL Complete uiTag: AN controlInfo: bkinfo: dissinfo: jinfo: jid: 09387994 NPH jtl: European Radiology issn: 09387994 maglogo: N pubinfo: dt: May2018 vid: 28 iid: 5 pid: 237 pub: Springer Nature place: New York, New York artinfo: ui: 128864688 128864688 NLM29234913 128864688 10.1007/s00330-017-5156-6 NLM29234913 128864688 ppf: 2047 ppct: 11 formats: fmt: – @attributes: type: T – @attributes: type: P tig: atl: Prediction of the histopathologic findings of intrahepatic cholangiocarcinoma: qualitative and quantitative assessment of diffusion-weighted imaging. aug: au: Lewis, Sara Besa, Cecilia Wagner, Mathilde Jhaveri, Kartik Kihira, Shingo Zhu, Hongfa Sadoughi, Nima Fischer, Sandra Srivastava, Amogh Yee, Eric Mortele, Koenraad Babb, James Thung, Swan Taouli, Bachir affil: Department of Radiology, Icahn School of Medicine at Mount Sinai, New York, NY, USA sug: subj: Cholangiocarcinoma Bile Duct Neoplasms Pathology Magnetic Resonance Imaging Methods Cholangiocarcinoma Pathology Female Bile Duct Neoplasms ROC Curve Aged, 80 and Over Bile Ducts Pathology Neoplasm Grading Human Bile Ducts Evaluation Research Middle Age Aged Retrospective Design Sensitivity and Specificity Male Adult Validation Studies Comparative Studies Multicenter Studies Aged, 80 & over Middle Aged: 45-64 years Aged: 65+ years Adult: 19-44 years Female Male ab: Objective: To correlate qualitative and quantitative diffusion weighted imaging (DWI) characteristics of intrahepatic cholangiocarcinoma (ICC) with histopathologic tumour grade and fibrosis content.Methods: Fifty-one patients (21M/30F; mean age 61y) with ICC and MRI including DWI were included in this IRB-approved multicentre retrospective study. Qualitative tumour features were assessed. Tumour apparent diffusion coefficient (ADC) mean, minimum, and normalized (nADCliver) values were computed. Tumour grade [well(G1), moderately(G2), or poorly differentiated(G3)] and tumour fibrosis content [minimal(1), moderate(2), or abundant(3)] were categorized pathologically. Imaging findings and ADC values were compared with pathologic measures. Utility of ADC values for predicting tumour grade was assessed using ROC analysis.Results: 51 ICCs (mean size 6.5±1.1 cm) were assessed. 33/51(64%) of ICCs demonstrated diffuse hyperintensity and 15/51(29%) demonstrated target appearance on DWI. Infiltrative morphology (p=0.02) and tumour size (p=0.04) were associated with G3. ADCmean and nADCmean of G3 (1.32±0.47x10-3 mm2/sec and 0.97±0.95) were lower than G1+G2 (1.57±0.39x10-3 mm2/sec and 1.24±0.49; p=0.03 and p=0.04). ADCmean and nADCmean were inversely correlated with tumour grade (p<0.025). No correlation was found between ADC and tumour fibrosis content. AUROC, sensitivity and specificity of nADCmean for G3 versus G1+G2 were 0.71, 89.5% and 55.5%.Conclusion: ADC quantification has reasonable accuracy for predicting ICC grade.Key Points: • ADC quantification was useful for predicting ICC tumour grade. • Infiltrative tumour morphology and size were associated with poorly differentiated ICCs. • ADC values depended more on ICC tumour grade than fibrosis content. • Ability to predict ICC tumour grade non-invasively could impact patient management. pubtype: Academic Journal doctype: research Journal Article ougenre: Article language: English refInfo: holdings: @attributes: islocal: N |
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