Literature DB >> 30240291

MRI-Based Apparent Diffusion Coefficient for Predicting Pathologic Response of Rectal Cancer After Neoadjuvant Therapy: Systematic Review and Meta-Analysis.

Salvatore Amodeo1, Alan S Rosman2, Vincenzo Desiato1,3, Nicole M Hindman4, Elliot Newman1,5, Russell Berman1, H Leon Pachter1, Marcovalerio Melis1,5.   

Abstract

OBJECTIVE: The purpose of this study was to assess the use of apparent diffusion coefficient (ADC) during DWI for predicting complete pathologic response of rectal cancer after neoadjuvant therapy.
MATERIALS AND METHODS: A systematic review of available literature was conducted to retrieve studies focused on the identification of complete pathologic response of locally advanced rectal cancer after neoadjuvant chemoradiation, through the assessment of ADC evaluated before, after, or both before and after treatment, as well as in terms of the difference between pretreatment and posttreatment ADC. Pooled mean pretreatment ADC, posttreatment ADC, and Δ-ADC (calculated as posttreatment ADC minus pretreatment ADC divided by pretreatment ADC and multiplied by 100) in complete responders versus incomplete responders were calculated. For each parameter, we also pooled sensitivity and specificity and calculated the area under the summary ROC curve.
RESULTS: We found 10 prospective and eight retrospective studies. Overall, pathologic complete response was observed in 22.2% of patients. Pooled mean pretreatment ADC in complete responders was 0.84 × 10-3 mm2/s versus 0.89 × 10-3 mm2/s in incomplete responders (p = 0.33). Posttreatment ADC values were 1.51 × 10-3 mm2/s and 1.29 × 10-3 mm2/s, in complete and incomplete responders, respectively (p = 0.00001). The Δ-ADC percentages were also significantly higher in complete responders than in incomplete responders (59.7% vs 29.7%, respectively, p = 0.016). Pooled sensitivity, specificity, and AUC were 0.743, 0.755, and 0.841 for pretreatment ADC; 0.800, 0.737, and 0.782 for posttreatment ADC; and 0.832, 0.806, and 0.895 for Δ-ADC.
CONCLUSION: Use of ADC during DWI is a promising technique for assessment of results of neoadjuvant treatment of rectal cancer.

Entities:  

Keywords:  DWI; apparent diffusion coefficient; locally advanced rectal cancer; pathologic response

Mesh:

Year:  2018        PMID: 30240291     DOI: 10.2214/AJR.17.19135

Source DB:  PubMed          Journal:  AJR Am J Roentgenol        ISSN: 0361-803X            Impact factor:   3.959


  9 in total

1.  Diagnostic accuracy of b800 and b1500 DWI-MRI of the pelvis to detect residual rectal adenocarcinoma: a multi-reader study.

Authors:  David D B Bates; Jennifer S Golia Pernicka; James L Fuqua; Viktoriya Paroder; Iva Petkovska; Junting Zheng; Marinela Capanu; Juliana Schilsky; Marc J Gollub
Journal:  Abdom Radiol (NY)       Date:  2020-02

2.  The apparent diffusion coefficient is a useful biomarker in predicting treatment response in patients with locally advanced rectal cancer.

Authors:  Mayra Evelia Jiménez de Los Santos; Juan Armando Reyes-Pérez; Rosa Martha Sandoval-Nava; José Luis Villalobos-Juárez; Yolanda Villaseñor-Navarro; Itzel Vela-Sarmiento; Isabel Sollozo-Dupont
Journal:  Acta Radiol Open       Date:  2020-09-15

3.  Pretreatment Apparent Diffusion Coefficient Cannot Predict Histopathological Features and Response to Neoadjuvant Radiochemotherapy in Rectal Cancer: A Meta-Analysis.

Authors:  Alexey Surov; Maciej Pech; Maciej Powerski; Katja Woidacki; Andreas Wienke
Journal:  Dig Dis       Date:  2021-03-04       Impact factor: 2.404

4.  Radiomic Texture and Shape Descriptors of the Rectal Environment on Post-Chemoradiation T2-Weighted MRI are Associated with Pathologic Tumor Stage Regression in Rectal Cancers: A Retrospective, Multi-Institution Study.

Authors:  Charlems Alvarez-Jimenez; Jacob T Antunes; Nitya Talasila; Kaustav Bera; Justin T Brady; Jayakrishna Gollamudi; Eric Marderstein; Matthew F Kalady; Andrei Purysko; Joseph E Willis; Sharon Stein; Kenneth Friedman; Rajmohan Paspulati; Conor P Delaney; Eduardo Romero; Anant Madabhushi; Satish E Viswanath
Journal:  Cancers (Basel)       Date:  2020-07-24       Impact factor: 6.639

Review 5.  Diffusion-weighted MRI to detect early response to chemoradiation in cervical cancer: A systematic review and meta-analysis.

Authors:  Vanessa N Harry; Sunil Persad; Bharat Bassaw; David Parkin
Journal:  Gynecol Oncol Rep       Date:  2021-10-18

6.  Robust extraction of biological information from diffusion-weighted magnetic resonance imaging during radiotherapy using semi-automatic delineation.

Authors:  Anne Louise Højmark Bisgaard; Carsten Brink; Maja Lynge Fransen; Tine Schytte; Claus P Behrens; Ivan Vogelius; Henrik Dahl Nissen; Faisal Mahmood
Journal:  Phys Imaging Radiat Oncol       Date:  2022-03-07

7.  Apparent Diffusion Coefficient Can Predict Therapy Response of Hepatocellular Carcinoma to Transcatheter Arterial Chemoembolization.

Authors:  Ralph Drewes; Constanze Heinze; Maciej Pech; Maciej Powerski; Katja Woidacki; Andreas Wienke; Alexey Surov; Jazan Omari
Journal:  Dig Dis       Date:  2021-11-08       Impact factor: 3.421

8.  Radiomics Model Based on Non-Contrast CT Shows No Predictive Power for Complete Pathological Response in Locally Advanced Rectal Cancer.

Authors:  Gordian Hamerla; Hans-Jonas Meyer; Peter Hambsch; Ulrich Wolf; Thomas Kuhnt; Karl-Titus Hoffmann; Alexey Surov
Journal:  Cancers (Basel)       Date:  2019-10-29       Impact factor: 6.639

Review 9.  Watch and wait approach in rectal cancer: Current controversies and future directions.

Authors:  Fernando López-Campos; Margarita Martín-Martín; Roberto Fornell-Pérez; Juan Carlos García-Pérez; Javier Die-Trill; Raquel Fuentes-Mateos; Sergio López-Durán; José Domínguez-Rullán; Reyes Ferreiro; Alejandro Riquelme-Oliveira; Asunción Hervás-Morón; Felipe Couñago
Journal:  World J Gastroenterol       Date:  2020-08-07       Impact factor: 5.742

  9 in total

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