Correlations between Apparent Diffusion Coefficient (ADC) and Prognosis in Patients with Locally Advanced Rectal Cancer
- 1Department of Diagnostic Radiology, IRCCS Fondazione San Gerardo dei Tintori, Via Pergolesi 33, 20900 Monza, MB, Italy.
- 2Radiologia Addomino Pelvica Diagnostica e Interventistica IRCCS Azienda Ospedaliera Universitaria di Bologna Policlinico di Sant'Orsola, Via Pietro Albertoni 15, 40138 Bolonga, BO, Italy.
- 3School of Medicine, University of Milano Bicocca, Via Cadore 33, 20090 Monza, MB, Italy.
- 0Department of Diagnostic Radiology, IRCCS Fondazione San Gerardo dei Tintori, Via Pergolesi 33, 20900 Monza, MB, Italy.
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View abstract on PubMed
Summary
This summary is machine-generated.Diffusion-weighted imaging (DWI) and apparent diffusion coefficient (ADC) values show promise in predicting treatment response and prognosis for locally advanced rectal cancer. Post-treatment ADC values can predict histopathological response, aiding in conservative treatment planning.
Area Of Science
- Radiology
- Oncology
- Medical Imaging
Background
- Locally advanced rectal cancer (LARC) requires effective prediction of treatment response.
- Neoadjuvant chemoradiation therapy (CRT) is a standard treatment for LARC.
- Assessing treatment response and patient outcomes is crucial for optimizing LARC management.
Purpose Of The Study
- To evaluate the efficacy of diffusion-weighted imaging (DWI) and apparent diffusion coefficient (ADC) values in predicting neoadjuvant CRT response in LARC patients.
- To determine the correlation between ADC values and tumor regression grade (TRG) and overall survival (OS).
Main Methods
- Retrospective analysis of 94 LARC patients who underwent MRI before and after neoadjuvant CRT.
- Manual region of interest (ROI) placement on DWI sequences to derive mean ADC values.
- Correlation analysis of pre- and post-treatment ADC values with Mandard TRG and pTNM staging.
- Assessment of ADC values in relation to overall survival (OS).
Main Results
- Post-treatment ADC and ΔADC values significantly correlated with TRG classes (p=0.002 and p=0.019, respectively).
- Post-treatment ADC values differed significantly between responders and non-responders (p=0.019).
- Pre-treatment ADC values negatively correlated with OS (p=0.001), while ΔADC positively correlated with OS (p=0.013).
Conclusions
- Pre-treatment ADC and ΔADC values can serve as prognostic predictors for LARC patients.
- Post-treatment ADC values are valuable for predicting histopathological response and guiding conservative treatment strategies.
- ADC parameters derived from DWI show potential for personalized treatment planning in LARC.
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