Histogram analysis of apparent diffusion coefficients for predicting pelvic lymph node metastasis in patients with uterine cervical cancer

Objective To investigate the value of apparent diffusion coefficient (ADC) histogram analysis in predicting pelvic lymph node (LN) metastasis in patients with cervical cancer undergoing surgery. Materials and methods A total of 162 cervical cancer patients who underwent radical abdominal hysterectom...

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Bibliographic Details
Published in:Magma (New York, N.Y.) N.Y.), 2020-04, Vol.33 (2), p.283-292
Main Authors: Lee, Jiyeong, Kim, Chan Kyo, Park, Sung Yoon
Format: Article
Language:English
Subjects:
Biomedical Engineering and Bioengineering
Computer Appl. in Life Sciences
Health Informatics
Imaging
Medicine
Medicine & Public Health
Radiology
Research Article
Solid State Physics
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Summary:Objective To investigate the value of apparent diffusion coefficient (ADC) histogram analysis in predicting pelvic lymph node (LN) metastasis in patients with cervical cancer undergoing surgery. Materials and methods A total of 162 cervical cancer patients who underwent radical abdominal hysterectomy with pelvic LN dissection performed with pelvic 3 T-MRI including diffusion-weighted imaging were enrolled in this study. The ADC histogram variables (minimum, mean, median, 97.5th percentile [ADC 97.5 ], and maximum) of the tumors were developed using in-house software. For predicting pelvic LN metastasis, clinical and imaging variables were evaluated using logistic regression and receiver-operating characteristic (ROC) analyses. Results Pelvic LN metastasis was identified histopathologically in 50 patients (30.9%). In patients with LN metastasis, all ADC histogram variables were significantly different from those without LN metastasis (all p  
ISSN:0968-5243
1352-8661
DOI:10.1007/s10334-019-00777-9