Literature DB >> 32796197

Tomoelastography for Measurement of Tumor Volume Related to Tissue Stiffness in Pancreatic Ductal Adenocarcinomas.

Stephan R Marticorena Garcia1, Liang Zhu2, Emin Gültekin3, Rosa Schmuck4, Christian Burkhardt1, Marcus Bahra4, Dominik Geisel3, Mehrgan Shahryari1, Jürgen Braun5, Bernd Hamm, Zheng-Yu Jin2, Ingolf Sack1, Jing Guo1.   

Abstract

OBJECTIVES: Estimations of tumor volume and boundary in pancreatic ductal adenocarcinoma (PDAC) are crucial for surgery planning. The aim of the study is to evaluate tomoelastography for detection of PDAC and quantification of PDAC volume based on tissue stiffness.
MATERIALS AND METHODS: From March 2018 to December 2019, a total of 102 participants (30 healthy participants and 72 patients with histologically proven PDAC) were prospectively enrolled in a multicenter study. Multifrequency magnetic resonance elastography was combined with tomoelastography postprocessing to generate maps of shear wave speed (SWS) depicting highly resolved anatomical details of tissue stiffness. Subregional analysis of pancreatic head, body, and tail and reproducibility tests were performed in healthy participants, whereas tumorous (PDAC-T) and nontumorous (PDAC-NT) pancreatic tissue analysis was conducted in patients. In all patients, tumor volumes measured by computed tomography (CT) were compared with SWS-derived volumes. In addition, in 32 patients, tumor sizes were evaluated by macroscopy after resection.
RESULTS: Tumor volumes were quantified in 99% and 87% of all cases with tomoelastography and CT, respectively. Pancreatic SWS was highly reproducible (repeatability coefficient = 0.12) and did not vary regionally or with patient age, sex, or body mass index (all P > 0.08). Shear wave speed was higher in PDAC-T (2.08 ± 0.38 m/s) than in healthy (1.25 ± 0.09 m/s; P < 0.001) and PDAC-NT (1.28 ± 0.14 m/s; P < 0.001) participants. A threshold of 1.47 m/s separated PDAC-T from healthy volunteers (area under the curve = 1.0, sensitivity = 100%, specificity = 100%), while 1.49 m/s separated PDAC-T from PDAC-NT with high accuracy (area under the curve = 0.99, sensitivity = 90%, specificity = 100%). Tomoelastography-derived tumor volume correlated with CT volume (r = 0.91, P < 0.001) and ex vivo tumor volume (r = 0.66, P < 0.001).
CONCLUSIONS: Tomoelastography provides a quantitative imaging marker for tissue stiffness depicting PDAC boundaries and separates PDAC from unaffected pancreatic tissue.

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Year:  2020        PMID: 32796197     DOI: 10.1097/RLI.0000000000000704

Source DB:  PubMed          Journal:  Invest Radiol        ISSN: 0020-9996            Impact factor:   6.016


  5 in total

1.  Added Value of Viscoelasticity for MRI-Based Prediction of Ki-67 Expression of Hepatocellular Carcinoma Using a Deep Learning Combined Radiomics (DLCR) Model.

Authors:  Xumei Hu; Jiahao Zhou; Yan Li; Yikun Wang; Jing Guo; Ingolf Sack; Weibo Chen; Fuhua Yan; Ruokun Li; Chengyan Wang
Journal:  Cancers (Basel)       Date:  2022-05-24       Impact factor: 6.575

2.  Tomoelastography based on multifrequency MR elastography predicts liver function reserve in patients with hepatocellular carcinoma: a prospective study.

Authors:  Huimin Lin; Yihuan Wang; Jiahao Zhou; Yuchen Yang; Xinxin Xu; Di Ma; Yongjun Chen; Chunxue Yang; Ingolf Sack; Jing Guo; Ruokun Li; Fuhua Yan
Journal:  Insights Imaging       Date:  2022-06-03

3.  Rectal Tumor Stiffness Quantified by In Vivo Tomoelastography and Collagen Content Estimated by Histopathology Predict Tumor Aggressiveness.

Authors:  Jiaxi Hu; Jing Guo; Yigang Pei; Ping Hu; Mengsi Li; Ingolf Sack; Wenzheng Li
Journal:  Front Oncol       Date:  2021-08-13       Impact factor: 6.244

4.  Multi-frequency magnetic resonance elastography of the pancreas: measurement reproducibility and variance among healthy volunteers.

Authors:  Si-Ya Shi; Liqin Wang; Zhenpeng Peng; Yangdi Wang; Zhi Lin; Xuefang Hu; Jiaxin Yuan; Li Huang; Shi-Ting Feng; Yanji Luo
Journal:  Gastroenterol Rep (Oxf)       Date:  2022-07-29

5.  Whole tissue and single cell mechanics are correlated in human brain tumors.

Authors:  Frank Sauer; Anatol Fritsch; Steffen Grosser; Steve Pawlizak; Tobias Kießling; Martin Reiss-Zimmermann; Mehrgan Shahryari; Wolf C Müller; Karl-Titus Hoffmann; Josef A Käs; Ingolf Sack
Journal:  Soft Matter       Date:  2021-12-08       Impact factor: 4.046

  5 in total

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