Diffusion-weighted magnetic resonance imaging of rectal cancer: tumour volume and perfusion fraction predict chemoradiotherapy response and survival

Bakke, Kine Mari; Hole, Knut Håkon; Dueland, Svein; Grøholt, Krystyna; Flatmark, Kjersti; Ree, Anne Hansen; Seierstad, Therese; Redalen, Kathrine Røe

doi:10.1080/0284186x.2017.1287951

Cited by 37 publications

(30 citation statements)

References 27 publications

(27 reference statements)

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“…Treatment options differ according to tumor Federation of Gynecology and Obstetrics (FIGO) stage and lymph node status; early-stage disease (IA and IB1) is treated by surgery alone, whereas locally advanced (IB2, IIA2 and IIB to IVA) or lymph node positive diseases is treated with CCRT. It is generally agreed that tumor volume diminish is a favorable indicator of good treatment response [22,23] and volume reduction is related with local control in CC patients underwent concurrent chemoradiotherapy (CCRT) [24] . Currently researches concerning treatment response prediction mainly focus on parameters change at 1 week and 4 weeks after treatment initiation [19,21,25] , but no earlier time-points have been evaluated.…”

Section: Introductionmentioning

confidence: 99%

Potentialities of multi-b-values diffusion-weighted imaging for predicting efficacy of concurrent chemoradiotherapy in cervical cancer patients

Liu

Ma²,

Zhang

et al. 2020

Preprint

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Background: To testify whether multi-b-values diffusion-weighted imaging (DWI) can be used to ultra-early predict treatment response of concurrent chemoradiotherapy (CCRT) in cervical cancer patients and to assess the predictive ability of concerning parameters.Methods: Fifty-three patients with biopsy proved cervical cancer were retrospectively recruited in this study. All patients underwent pelvic multi-b-values DWI before and at the 3rd day during treatment. The apparent diffusion coefficient (ADC), true diffusion coefficient (Dslow), perfusion-related pseudo-diffusion coefficient (Dfast), perfusion fraction (f), distributed diffusion coefficient(DDC) and intravoxel diffusion heterogeneity index(α) were generated by mono-exponential, bi-exponential and stretched exponential models. Treatment response was assessed based on Response Evaluation Criteria in Solid Tumors (RECIST v1.1) at 1 month after the completion of whole CCRT. Parameters were compared using independent t test or Mann-Whitney U test as appropriate. Receiver operating characteristic (ROC) curves was used for statistical evaluations.Results: ADC-T0 (p=0.02), Dslow-T0 (p<0.01), DDC-T0 (p=0.03), ADC-T1 (p<0.01), Dslow-T1 (p<0.01), ΔADC (p=0.04) and Δα (p<0.01) were significant lower in non-CR group patients. ROC analyses showed that ADC-T1 and Δα exhibited high prediction value, with area under the curves of 0.880 and 0.869, respectively. Conclusions: Multi-b-values DWI can be used as a noninvasive technique to assess and predict treatment response in cervical cancer patients at the 3rd day of CCRT. ADC-T1 and Δα can be used to differentiate good responders from poor responders.

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Section: Introductionmentioning

confidence: 99%

Potentialities of multi-b-values diffusion-weighted imaging for predicting efficacy of concurrent chemoradiotherapy in cervical cancer patients

Liu

Ma²,

Zhang

et al. 2020

Preprint

View full text Add to dashboard Cite

show abstract

“…It is generally agreed that tumor volume diminish is a favorable indicator of good treatment response [21,22] and volume reduction is related with local control in CC patients underwent concurrent chemoradiotherapy (CCRT) [23] . Currently researches concerning treatment response prediction mainly focus on parameters change at 1 week and 4 weeks after treatment initiation [19,20,24] , but no earlier timepoints have been evaluated.…”

Section: Introductionmentioning

confidence: 99%

Potentialities of multi-b-values diffusion-weighted imaging for predicting efficacy of concurrent chemoradiotherapy in cervical cancer patients

Liu

Ma²,

Zhang

et al. 2020

Preprint

View full text Add to dashboard Cite

Purpose: To testify whether multi-b-values DWI can be used to ultra-early predict treatment response of CCRT in cervical cancer patients and to assess the predictive ability of concerning parameters. Methods: 53 patients with biopsy proved cervical cancer were retrospectively recruited in this study. All patients underwent pelvic multi-b-values DWI before and at the 3rd day during treatment. Tumor diffusion parameters were calculated by mono-exponential (apparent diffusion coefficient, ADC), bi-exponential (Dslow, Dfast and fp) and stretched exponential (distributed diffusion coefficient, DDC and α) models. Treatment response was assessed based on RECIST v1.1 at 1 month after the completion of whole CCRT. Parameters were compared using independent t test or Mann-Whitney U test as appropriate. Receiver operating characteristic (ROC) curves was used for statistical evaluations. Results: ADC-T0 (p=0.02), Dslow-T0 (p<0.01), DDC-T0 (p=0.03), ADC-T1 (p<0.01), Dslow-T1 (p<0.01), ΔADC (p=0.04) and Δα (p<0.01) were significant lower in non-CR group patients. ROC analyses showed that ADC-T1 and Δα exhibited high prediction value, with area under the curves of 0.880 and 0.869, respectively. Conclusion: Multi-b-values DWI can be used as a noninvasive technique to assess and predict treatment response in cervical cancer patients at the 3rd day of CCRT. ADC-T1 and Δα can be used to differentiate good responders from poor responders.

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“…Meanwhile, functional MRI techniques are emerging as an advanced imaging technique since it visualizes different and possibly complementary tumor characteristics. With diffusion-weighted (DW-) magnetic resonance imaging (MRI) the variation in free diffusion of water molecules between different tissues is visualized, allowing it to distinguish tumorous tissue with high cellular density from healthy tissue using the apparent diffusion coefficient (ADC) [12][13][14][15]. With dynamic contrast-enhanced (DCE-) MRI, the vascular integrity is visualized using administration of a contrast agent, allowing to monitor neoplastic changes in tissue [16].…”

Section: Introductionmentioning

confidence: 99%

DW-MRI and DCE-MRI are of complementary value in predicting pathologic response to neoadjuvant chemoradiotherapy for esophageal cancer

et al. 2018

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Diffusion-weighted magnetic resonance imaging of rectal cancer: tumour volume and perfusion fraction predict chemoradiotherapy response and survival

Abstract: The MRI parameter F/V at baseline was a remarkably strong predictor of both histopathologic tumour response and 5-year PFS in patients with LARC.

Cited by 37 publications

References 27 publications

Potentialities of multi-b-values diffusion-weighted imaging for predicting efficacy of concurrent chemoradiotherapy in cervical cancer patients

Potentialities of multi-b-values diffusion-weighted imaging for predicting efficacy of concurrent chemoradiotherapy in cervical cancer patients

Potentialities of multi-b-values diffusion-weighted imaging for predicting efficacy of concurrent chemoradiotherapy in cervical cancer patients

DW-MRI and DCE-MRI are of complementary value in predicting pathologic response to neoadjuvant chemoradiotherapy for esophageal cancer

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