İstanbul university İstanbul medical faculty
İstanbul university
İstanbul medical faculty

Author of 1 Presentation

SS 8.9 - Complete response evaluation of locally advanced rectal cancer to neoadjuvant chemoradiotherapy using textural features on MRI

Presentation Number
SS 8.9
Channel
On-demand channel 3

Abstract

Purpose

To evaluate the diagnostic performance of T2-weighted imaging and apparent diffusion coefficient (ADC) textural features for the prediction of pathologic complete response after neoadjuvant chemoradiotherapy (CRT) in locally advanced rectal cancer (LARC).

Material and methods

Between April 2015 and April 2019, 44 patients (32 men, 12 women; median age: 57 years), who underwent MRI with ADC before and after CRT, were enrolled in this retrospective study. Histopathological findings were the standard of reference. Textural features of LARC on T2-weighted and ADC images were extracted and compared between pathologic complete responders versus partial responders using Student’s t test or Mann-Whitney U test. Receiver operating characteristic (ROC) curves were calculated to detect the diagnostic performance of ADC.

Results

22 of the 44 (50%) patients were complete responders, and 50% (22/44) were partial responders regarding pathological results after neoadjuvant CRT. Quantitive ADC changes correlated with treatment response and a cut off 1310 x 10-6 mm2/sn predicted pathologic total response with a sensitivity of 72% and a specificity of 77%. CRT induced a significant decrease in T2-weighted signal intensity (T2wSI) in all patients after neoadjuvant CRT (p=0.001 for complete responders vs p=0.003 for partial responders). Also, skewness changes of T2wSI between pre- and post-CRT showed a significant difference in complete responders in contrast to partial responders (p=0.002 for complete responders vs p=0.611 for partial responders).

Conclusion

In patients with LARC, changes in the skewness of the T2wSI and quantitive changes in ADC are useful for predicting a favorable response to neoadjuvant CRT.

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Slides

  • ESGAR Fri, 08.05.2020 21:02
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Author of 1 Presentation

SS 8.9 - Complete response evaluation of locally advanced rectal cancer to neoadjuvant chemoradiotherapy using textural features on MRI (ID 513)

Abstract

Purpose

To evaluate the diagnostic performance of T2-weighted imaging and apparent diffusion coefficient (ADC) textural features for the prediction of pathologic complete response after neoadjuvant chemoradiotherapy (CRT) in locally advanced rectal cancer (LARC).

Material and methods

Between April 2015 and April 2019, 44 patients (32 men, 12 women; median age: 57 years), who underwent MRI with ADC before and after CRT, were enrolled in this retrospective study. Histopathological findings were the standard of reference. Textural features of LARC on T2-weighted and ADC images were extracted and compared between pathologic complete responders versus partial responders using Student’s t test or Mann-Whitney U test. Receiver operating characteristic (ROC) curves were calculated to detect the diagnostic performance of ADC.

Results

22 of the 44 (50%) patients were complete responders, and 50% (22/44) were partial responders regarding pathological results after neoadjuvant CRT. Quantitive ADC changes correlated with treatment response and a cut off 1310 x 10-6 mm2/sn predicted pathologic total response with a sensitivity of 72% and a specificity of 77%. CRT induced a significant decrease in T2-weighted signal intensity (T2wSI) in all patients after neoadjuvant CRT (p=0.001 for complete responders vs p=0.003 for partial responders). Also, skewness changes of T2wSI between pre- and post-CRT showed a significant difference in complete responders in contrast to partial responders (p=0.002 for complete responders vs p=0.611 for partial responders).

Conclusion

In patients with LARC, changes in the skewness of the T2wSI and quantitive changes in ADC are useful for predicting a favorable response to neoadjuvant CRT.

Collapse

Slides

  • ESGAR Fri, 08.05.2020 21:02
Collapse

Video-on-demand

[session]
[presentation]
[presenter]
Collapse