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Apparent diffusion coefficient-based histogram analysis differentiates histological subtypes of periampullary
Jing-Yu Lu1, Hao Yu1, Xian-Lun Zou1
1Department of Radiology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430030, Hubei Province, China.
Volumetric apparent diffusion coefficient (ADC) histogram analysis using a b-value of 1000 s/mm² can help differentiate between intestinal-type and pancreatobiliary-type periampullary adenocarcinoma. This noninvasive method shows promise for pre-surgical subtyping of periampullary adenocarcinoma.
Area of Science:
- Radiology
- Oncology
- Medical Imaging
Background:
- Histological subtype of periampullary adenocarcinoma impacts prognosis, with intestinal-type (IPAC) generally having a better outlook than pancreatobiliary-type (PPAC).
- Pre-operative differentiation of IPAC from PPAC is challenging, yet crucial for treatment planning.
- Apparent diffusion coefficient (ADC) histogram analysis offers a noninvasive, reproducible method for characterizing tissue.
Purpose of the Study:
- To evaluate the utility of volumetric ADC histogram analysis in distinguishing IPAC from PPAC.
- To determine if specific ADC histogram parameters can reliably differentiate between the two histological subtypes.
Main Methods:
- Retrospective analysis of 476 patients with suspected periampullary tumors undergoing 3.0 T MRI with diffusion-weighted imaging (b-values 800 and 1000 s/mm²).
- Volumetric histogram analysis of ADC values (mean, percentiles, min, max, kurtosis, skewness, entropy) was performed on 40 confirmed cases (17 IPAC, 23 PPAC).
- Statistical comparisons using Student's t-test or Mann-Whitney U test and receiver operating characteristic (ROC) curve analysis were employed.
Main Results:
- ADC histogram parameters derived from ADC₁₀₀₀, including mean, 5th, 25th, 50th, 75th, 90th, 95th percentiles, and ADCmax, were significantly lower in PPAC compared to IPAC (P < 0.05).
- No significant differences were observed between groups for ADC values derived from ADC₈₀₀.
- The 75th percentile of ADC₁₀₀₀ values demonstrated the highest diagnostic performance (AUC = 0.781) for differentiating IPAC from PPAC, with 91% sensitivity and 59% specificity.
Conclusions:
- Volumetric ADC histogram analysis, particularly at a b-value of 1000 s/mm², shows potential as a noninvasive tool for pre-operative differentiation of IPAC and PPAC.
- This imaging technique could aid in surgical planning and prognostic assessment for periampullary adenocarcinoma.
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