Three-dimension amide proton transfer MRI of rectal adenocarcinoma: correlation with pathologic prognostic factors and comparison with diffusion kurtosis imaging

2020 ◽  
Author(s):  
Weicui Chen ◽  
Ling Li ◽  
Zhaoxian Yan ◽  
Shaowei Hu ◽  
Jieping Feng ◽  
...  
Keyword(s):  
Prognostic Factors ◽  
Proton Transfer ◽  
Rectal Adenocarcinoma ◽  
Amide Proton ◽  
Diffusion Kurtosis Imaging ◽  
Three Dimension ◽  
Amide Proton Transfer ◽  
Diffusion Kurtosis

Application of the amide proton transfer-weighted imaging and diffusion kurtosis imaging in the study of cervical cancer

2020 ◽  
Vol 30 (10) ◽  
pp. 5758-5767 ◽  
Author(s):  
Nan Meng ◽  
Xuejia Wang ◽  
Jing Sun ◽  
Dongming Han ◽  
Xiaoyue Ma ◽  
...  
Keyword(s):  
Cervical Cancer ◽  
Proton Transfer ◽  
Amide Proton ◽  
Diffusion Kurtosis Imaging ◽  
Amide Proton Transfer ◽  
Diffusion Kurtosis ◽  
And Diffusion

scholarly journals Amide Proton Transfer Weighted and Intravoxel Incoherent Motion Imaging in Evaluation of Prognostic Factors for Rectal Adenocarcinoma

2022 ◽  
Vol 11 ◽  
Author(s):  
Juan Li ◽  
Liangjie Lin ◽  
Xuemei Gao ◽  
Shenglei Li ◽  
Jingliang Cheng
Keyword(s):  
Diffusion Coefficient ◽  
Prognostic Factors ◽  
Proton Transfer ◽  
Rectal Adenocarcinoma ◽  
Roc Curves ◽  
Amide Proton ◽  
High Grade ◽  
Significant Difference ◽  
Adc Values ◽  
D Values

ObjectivesTo analyze the value of amide proton transfer (APT) weighted and intravoxel incoherent motion (IVIM) imaging in evaluation of prognostic factors for rectal adenocarcinoma, compared with diffusion weighted imaging (DWI).Materials and MethodsPreoperative pelvic MRI data of 110 patients with surgical pathologically confirmed diagnosis of rectal adenocarcinoma were retrospectively evaluated. All patients underwent high-resolution T2-weighted imaging (T2WI), APT, IVIM, and DWI. Parameters including APT signal intensity (APT SI), pure diffusion coefficient (D), pseudo-diffusion coefficient (D*), perfusion fraction (f), and apparent diffusion coefficient (ADC) were measured in different histopathologic types, grades, stages, and structure invasion statuses. Receiver operating characteristic (ROC) curves were used to evaluate the diagnostic efficacy, and the corresponding area under the curves (AUCs) were calculated.ResultsAPT SI, D and ADC values of rectal mucinous adenocarcinoma (MC) were significantly higher than those of rectal common adenocarcinoma (AC) ([3.192 ± 0.661%] vs. [2.333 ± 0.471%], [1.153 ± 0.238×10-3 mm2/s] vs. [0.792 ± 0.173×10-3 mm2/s], and [1.535 ± 0.203×10-3 mm2/s] vs. [0.986 ± 0.124×10-3 mm2/s], respectively; all P<0.001). In AC group, the APT SI and D values showed significant differences between low- and high-grade tumors ([2.226 ± 0.347%] vs. [2.668 ± 0.638%], and [0.842 ± 0.148×10-3 mm2/s] vs. [0.777 ± 0.178×10-3 mm2/s], respectively, both P<0.05). The D value had significant difference between positive and negative extramural vascular invasion (EMVI) tumors ([0.771 ± 0.175×10-3 mm2/s] vs. [0.858 ± 0.151×10-3 mm2/s], P<0.05). No significant difference of APT SI, D, D*, f or ADC was observed in different T stages, N stages, perineural and lymphovascular invasions (all P>0.05). The ROC curves showed that the AUCs of APT SI, D and ADC values for distinguishing MC from AC were 0.921, 0.893 and 0.995, respectively. The AUCs of APT SI and D values in distinguishing low- from high-grade AC were 0.737 and 0.663, respectively. The AUC of the D value for evaluating EMVI involvement was 0.646.ConclusionAPT and IVIM were helpful to assess the prognostic factors related to rectal adenocarcinoma, including histopathological type, tumor grade and the EMVI status.

scholarly journals Diffusion Kurtosis Imaging Study of Rectal Adenocarcinoma Associated with Histopathologic Prognostic Factors: Preliminary Findings

Radiology ◽  
2017 ◽  
Vol 284 (1) ◽  
pp. 66-76 ◽  
Author(s):  
Lan Zhu ◽  
Zilai Pan ◽  
Qian Ma ◽  
Wenjie Yang ◽  
Hongyuan Shi ◽  
...  
Keyword(s):  
Prognostic Factors ◽  
Rectal Adenocarcinoma ◽  
Imaging Study ◽  
Diffusion Kurtosis Imaging ◽  
Diffusion Kurtosis

scholarly journals Amide proton transfer weighted (APTw) imaging based radiomics allows for the differentiation of gliomas from metastases

2021 ◽  
Vol 11 (1) ◽  
Author(s):  
Elisabeth Sartoretti ◽  
Thomas Sartoretti ◽  
Michael Wyss ◽  
Carolin Reischauer ◽  
Luuk van Smoorenburg ◽  
...  
Keyword(s):  
Machine Learning ◽  
Random Forest ◽  
Brain Tumors ◽  
Proton Transfer ◽  
Multilayer Perceptron ◽  
Random Forest Classifier ◽  
Amide Proton ◽  
Low Grade ◽  
Who Grade ◽  
Amide Proton Transfer

AbstractWe sought to evaluate the utility of radiomics for Amide Proton Transfer weighted (APTw) imaging by assessing its value in differentiating brain metastases from high- and low grade glial brain tumors. We retrospectively identified 48 treatment-naïve patients (10 WHO grade 2, 1 WHO grade 3, 10 WHO grade 4 primary glial brain tumors and 27 metastases) with either primary glial brain tumors or metastases who had undergone APTw MR imaging. After image analysis with radiomics feature extraction and post-processing, machine learning algorithms (multilayer perceptron machine learning algorithm; random forest classifier) with stratified tenfold cross validation were trained on features and were used to differentiate the brain neoplasms. The multilayer perceptron achieved an AUC of 0.836 (receiver operating characteristic curve) in differentiating primary glial brain tumors from metastases. The random forest classifier achieved an AUC of 0.868 in differentiating WHO grade 4 from WHO grade 2/3 primary glial brain tumors. For the differentiation of WHO grade 4 tumors from grade 2/3 tumors and metastases an average AUC of 0.797 was achieved. Our results indicate that the use of radiomics for APTw imaging is feasible and the differentiation of primary glial brain tumors from metastases is achievable with a high degree of accuracy.

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