Literature DB >> 28696169

Can the apparent diffusion coefficient differentiate the grade of endometrioid adenocarcinoma and the histological subtype of endometrial cancer?

Bin Yan1, Tingting Zhao2, Xiufen Liang1, Chen Niu2, Caixia Ding3.   

Abstract

Background Diffusion-weighted imaging (DWI) provides useful information for the identification of benign and malignant uterine lesions. However, the use of the apparent diffusion coefficient (ADC) for histopathological grading of endometrial cancer is controversial. Purpose To explore the use of ADC values in differentiating the preoperative tumor grading of endometrioid adenocarcinomas and investigate the relationship between the ADC values of endometrial cancer and the histological tumor subtype. Material and Methods We retrospectively evaluated 98 patients with endometrial cancers, including both endometrioid adenocarcinomas (n = 80) and non-endometrioid adenocarcinomas (n = 18). All patients underwent DWI procedures and ADC values were calculated. The Kruskal-Wallis test and the independent samples Mann-Whitney U test were used to compare differences in the ADC values between different tumor grades and different histological subtypes. Results The mean ADC values (ADCmean) for high-grade endometrioid adenocarcinomas were significantly lower than the values for low-grade tumors (0.800 versus 0.962 × 10-3 mm2/s) ( P = 0.002). However, no significant differences in ADCmean and minimum ADC values (ADCmin) were found between tumor grades (G1, G2, and G3) of endometrial cancer. Compared with endometrioid adenocarcinomas, the adenocarcinoma with squamous differentiation showed lower ADC values (mean/minimum = 0.863/0.636 versus 0.962/0.689 × 10-3 mm2/s), but the differences were not significant ( Pmean = 0.074, Pmin = 0.441). Moreover, ADCmean for carcinosarcomas was significantly higher than the value for G3 non-carcinosarcoma endometrial cancers (1.047 versus 0.823 × 10-3 mm2/s) ( P = 0.001). Conclusion The ADCmean was useful for identifying high-grade and low-grade endometrioid adenocarcinomas. Additionally, squamous differentiation may decrease ADCmean and ADCmin of endometrioid adenocarcinoma, and carcinosarcomas showed relatively high ADCmean.

Entities:  

Keywords:  Endometrial cancer; apparent diffusion coefficient (ADC); histological grade; histological subtype; magnetic resonance diffusion

Mesh:

Year:  2017        PMID: 28696169     DOI: 10.1177/0284185117716198

Source DB:  PubMed          Journal:  Acta Radiol        ISSN: 0284-1851            Impact factor:   1.990


  9 in total

1.  ESGO/ESTRO/ESP Guidelines for the management of patients with endometrial carcinoma.

Authors:  Nicole Concin; Carien L Creutzberg; Ignace Vergote; David Cibula; Mansoor Raza Mirza; Simone Marnitz; Jonathan A Ledermann; Tjalling Bosse; Cyrus Chargari; Anna Fagotti; Christina Fotopoulou; Antonio González-Martín; Sigurd F Lax; Domenica Lorusso; Christian Marth; Philippe Morice; Remi A Nout; Dearbhaile E O'Donnell; Denis Querleu; Maria Rosaria Raspollini; Jalid Sehouli; Alina E Sturdza; Alexandra Taylor; Anneke M Westermann; Pauline Wimberger; Nicoletta Colombo; François Planchamp; Xavier Matias-Guiu
Journal:  Virchows Arch       Date:  2021-02       Impact factor: 4.064

2.  Preoperative prediction of deep myometrial invasion and tumor grade for stage I endometrioid adenocarcinoma: a simple method of measurement on DWI.

Authors:  Bin Yan; Xiufen Liang; Tingting Zhao; Chen Niu; Caixia Ding; Wenjun Liu
Journal:  Eur Radiol       Date:  2018-07-23       Impact factor: 5.315

3.  Identification of histological features of endometrioid adenocarcinoma based on amide proton transfer-weighted imaging and multimodel diffusion-weighted imaging.

Authors:  Fangfang Fu; Nan Meng; Zhun Huang; Jing Sun; Xuejia Wang; Jie Shang; Ting Fang; Pengyang Feng; Kaiyu Wang; Dongming Han; Meiyun Wang
Journal:  Quant Imaging Med Surg       Date:  2022-02

4.  Preoperative diffusion-weighted magnetic resonance imaging and intraoperative frozen sections for predicting the tumor grade in endometrioid endometrial cancer.

Authors:  Tomohito Tanaka; Yoshito Terai; Satoe Fujiwara; Yoshimichi Tanaka; Hiroshi Sasaki; Satoshi Tsunetoh; Kazuhiro Yamamoto; Takashi Yamada; Yoshifumi Narumi; Masahide Ohmichi
Journal:  Oncotarget       Date:  2018-11-27

5.  Diagnostic Accuracy of Calculated Tumor Volumes and Apparent Diffusion Coefficient Values in Predicting Endometrial Cancer Grade.

Authors:  Chandan Kakkar; Kamini Gupta; Kunal Jain; Vikram Narang; Aminder Singh; Kavita Saggar; Namita Bansal; Dania Cioni; Emanuele Neri
Journal:  Int J Appl Basic Med Res       Date:  2022-01-31

6.  Volumetric ADC histogram analysis for preoperative evaluation of LVSI status in stage I endometrioid adenocarcinoma.

Authors:  Xiaoliang Ma; Xiaojun Ren; Minhua Shen; Fenghua Ma; Xiaojun Chen; Guofu Zhang; Jinwei Qiang
Journal:  Eur Radiol       Date:  2021-06-17       Impact factor: 5.315

7.  Normalized apparent diffusion coefficient: a novel paradigm for characterization of endometrial and subendometrial lesions.

Authors:  Zainab Vora; Smita Manchanda; Raju Sharma; Chandan Jyoti Das; Smriti Hari; Sandeep Mathur; Sunesh Kumar; Garima Kachhawa; Maroof Ahmad Khan
Journal:  Br J Radiol       Date:  2020-11-06       Impact factor: 3.039

8.  Diffusion Weighted Imaging in the Assessment of Tumor Grade in Endometrial Cancer Based on Intravoxel Incoherent Motion MRI.

Authors:  Evangelia G Chryssou; Georgios C Manikis; Georgios S Ioannidis; Vrettos Chaniotis; Thomas Vrekoussis; Thomas G Maris; Kostas Marias; Apostolos H Karantanas
Journal:  Diagnostics (Basel)       Date:  2022-03-12

9.  Quantitative diffusion and perfusion MRI in the evaluation of endometrial cancer: validation with histopathological parameters.

Authors:  Serena Satta; Miriam Dolciami; Veronica Celli; Francesca Di Stadio; Giorgia Perniola; Innocenza Palaia; Angelina Pernazza; Carlo Della Rocca; Stefania Rizzo; Carlo Catalano; Silvia Capuani; Lucia Manganaro
Journal:  Br J Radiol       Date:  2021-06-16       Impact factor: 3.629

  9 in total

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