Hans-Jonas Meyer, Johann Potratz, Dörthe Jechorek, Kai Ina Schramm, Jan Borggrefe, Alexey Surov
{"title":"Association between diffusion-weighted imaging and tumor matrix in liver cancer: a cross-sectional study.","authors":"Hans-Jonas Meyer, Johann Potratz, Dörthe Jechorek, Kai Ina Schramm, Jan Borggrefe, Alexey Surov","doi":"10.21037/tcr-24-1516","DOIUrl":null,"url":null,"abstract":"<p><strong>Background: </strong>Imaging modalities can reflect the underlying histopathology of tumors. However, the precise interactions between histopathological microstructure and the resulting imaging phenotype remain elusive. Predicting histopathological features, including the extracellular matrix, in a non-invasive manner could improve clinical care of liver tumors. The present study used cross-sectional guided biopsy specimens to utilize accurate spatial biopsy localization to correlate magnetic resonance imaging (MRI) derived the apparent diffusion coefficient (ADC) values with collagen IV expression in various liver cancers.</p><p><strong>Methods: </strong>A total of 127 patients (n=68 female; 45.6%) with a mean age of 65.3±12.3 years were included in the analysis. Inclusion criteria were an available cross-sectional biopsy, available biopsy specimens and a pre-interventional MRI with diffusion-weighed imaging (DWI) sequence. The tumors included 45 patients (35.4%) with hepatocellular carcinoma (HCC), 26 patients (20.5%) with cholangiocellular carcinoma and 56 patients (44.1%) with liver metastases of various primary tumors. Prebioptic liver MRI with diffusion-weighted imaging was used to correlate ADC values with collagen IV expression obtained from liver biopsy. The ADC values were measured in a co-registered way with cross-sectional biopsy imaging to ensure the spatial concordance between imaging and histopathology. The stained area and signal intensity of the immunohistochemical staining were examined.</p><p><strong>Results: </strong>The mean average stained area of collagen IV was 32.6%±27.4% and the mean staining intensity was 2.03±1.01. HCC showed statistically less stained area compared to the other tumor types (analysis of variance P<0.0001). In the overall patient sample, there was no correlation between ADCmean and average stained area (r=0.05, P=0.55) and staining intensity (r=-0.04, P=0.60). In a subgroup analysis of HCC patients, there was a significant correlation between ADCmin and the staining intensity (r=-0.33, P=0.02).</p><p><strong>Conclusions: </strong>ADC values are not associated with collagen IV expression in liver tumors. The complex extracellular matrix is not reflected by the DWI signal, which can be discussed as mainly be influenced by the cellularity of the tumors. Further research is needed to investigate the complex interactions between histopathology and the resulting imaging phenotype of MRI for clinical care.</p>","PeriodicalId":23216,"journal":{"name":"Translational cancer research","volume":"14 3","pages":"1764-1771"},"PeriodicalIF":1.5000,"publicationDate":"2025-03-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11985173/pdf/","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Translational cancer research","FirstCategoryId":"3","ListUrlMain":"https://doi.org/10.21037/tcr-24-1516","RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"2025/3/20 0:00:00","PubModel":"Epub","JCR":"Q4","JCRName":"ONCOLOGY","Score":null,"Total":0}
引用次数: 0
Abstract
Background: Imaging modalities can reflect the underlying histopathology of tumors. However, the precise interactions between histopathological microstructure and the resulting imaging phenotype remain elusive. Predicting histopathological features, including the extracellular matrix, in a non-invasive manner could improve clinical care of liver tumors. The present study used cross-sectional guided biopsy specimens to utilize accurate spatial biopsy localization to correlate magnetic resonance imaging (MRI) derived the apparent diffusion coefficient (ADC) values with collagen IV expression in various liver cancers.
Methods: A total of 127 patients (n=68 female; 45.6%) with a mean age of 65.3±12.3 years were included in the analysis. Inclusion criteria were an available cross-sectional biopsy, available biopsy specimens and a pre-interventional MRI with diffusion-weighed imaging (DWI) sequence. The tumors included 45 patients (35.4%) with hepatocellular carcinoma (HCC), 26 patients (20.5%) with cholangiocellular carcinoma and 56 patients (44.1%) with liver metastases of various primary tumors. Prebioptic liver MRI with diffusion-weighted imaging was used to correlate ADC values with collagen IV expression obtained from liver biopsy. The ADC values were measured in a co-registered way with cross-sectional biopsy imaging to ensure the spatial concordance between imaging and histopathology. The stained area and signal intensity of the immunohistochemical staining were examined.
Results: The mean average stained area of collagen IV was 32.6%±27.4% and the mean staining intensity was 2.03±1.01. HCC showed statistically less stained area compared to the other tumor types (analysis of variance P<0.0001). In the overall patient sample, there was no correlation between ADCmean and average stained area (r=0.05, P=0.55) and staining intensity (r=-0.04, P=0.60). In a subgroup analysis of HCC patients, there was a significant correlation between ADCmin and the staining intensity (r=-0.33, P=0.02).
Conclusions: ADC values are not associated with collagen IV expression in liver tumors. The complex extracellular matrix is not reflected by the DWI signal, which can be discussed as mainly be influenced by the cellularity of the tumors. Further research is needed to investigate the complex interactions between histopathology and the resulting imaging phenotype of MRI for clinical care.
期刊介绍:
Translational Cancer Research (Transl Cancer Res TCR; Print ISSN: 2218-676X; Online ISSN 2219-6803; http://tcr.amegroups.com/) is an Open Access, peer-reviewed journal, indexed in Science Citation Index Expanded (SCIE). TCR publishes laboratory studies of novel therapeutic interventions as well as clinical trials which evaluate new treatment paradigms for cancer; results of novel research investigations which bridge the laboratory and clinical settings including risk assessment, cellular and molecular characterization, prevention, detection, diagnosis and treatment of human cancers with the overall goal of improving the clinical care of cancer patients. The focus of TCR is original, peer-reviewed, science-based research that successfully advances clinical medicine toward the goal of improving patients'' quality of life. The editors and an international advisory group of scientists and clinician-scientists as well as other experts will hold TCR articles to the high-quality standards. We accept Original Articles as well as Review Articles, Editorials and Brief Articles.