Literature DB >> 29157069

Tumor volume regression during preoperative chemoradiotherapy for rectal cancer: a prospective observational study with weekly MRI.

Robbe Van den Begin1, Jean-Paul Kleijnen2, Benedikt Engels1, Marielle Philippens2, Bram van Asselen2, Bas Raaymakers2, Onne Reerink3, Mark De Ridder1, Martijn Intven2.   

Abstract

PURPOSE: Few data is available on rectal tumor shrinkage during preoperative chemoradiotherapy (CRT). This regression pattern is interesting to optimize timing of dose escalation on the tumor.
METHODS: Gross tumor volumes (GTV) were contoured by two observers on magnetic resonance imaging (MRI) obtained before, weekly during, 2-4 weeks after, and 7-8 weeks after a 5-week course of concomitant CRT for rectal cancer.
RESULTS: Overall, 120 MRIs were acquired in 15 patients. A statistically significant tumor volume reduction is seen from the first week, and between any two time points (p < .007). At the end of CRT, 46.3% of the initial tumor volume remained, and 32.4% at time of surgery. PTV measured 61.2% at the end of treatment. Tumor shrinkage is the fastest in the beginning of treatment (26%/week), slows down to 7%/week in the last 2 weeks of CRT, and finally to 1.3%/week in the last 5 weeks before surgery.
CONCLUSIONS: The main rectal tumor regression occurs during CRT course itself, and mostly in the first half, with shrinking speed decreasing over the course. This suggests that a sequential boost is preferably done after the elective fields, yielding an average PTV-reduction of 39%. A simultaneous integrated boost strategy could benefit from adaptive planning during the course.

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Year:  2017        PMID: 29157069     DOI: 10.1080/0284186X.2017.1400689

Source DB:  PubMed          Journal:  Acta Oncol        ISSN: 0284-186X            Impact factor:   4.089


  9 in total

Review 1.  Realizing the potential of magnetic resonance image guided radiotherapy in gynaecological and rectal cancer.

Authors:  Ingrid M White; Erica Scurr; Andreas Wetscherek; Gina Brown; Aslam Sohaib; Simeon Nill; Uwe Oelfke; David Dearnaley; Susan Lalondrelle; Shreerang Bhide
Journal:  Br J Radiol       Date:  2019-05-14       Impact factor: 3.039

2.  Optimized Parameters of Diffusion-Weighted MRI for Prediction of the Response to Neoadjuvant Chemoradiotherapy for Locally Advanced Rectal Cancer.

Authors:  Jie Li; Jia Wang; Jing Pang; Shougen Cao; Jingjing Chen; Wenjian Xu
Journal:  Biomed Res Int       Date:  2019-10-13       Impact factor: 3.411

3.  1.5 T MR-linac planning study to compare two different strategies of rectal boost irradiation.

Authors:  Pierluigi Bonomo; Monica Lo Russo; Marcel Nachbar; Simon Boeke; Sergios Gatidis; Daniel Zips; Daniela Thorwarth; Cihan Gani
Journal:  Clin Transl Radiat Oncol       Date:  2020-12-03

4.  Survival landscape of different tumor regression grades and pathologic complete response in rectal cancer after neoadjuvant therapy based on reconstructed individual patient data.

Authors:  Jia-Yi Li; Xuan-Zhang Huang; Peng Gao; Yong-Xi Song; Xiao-Wan Chen; Xing-Er Lv; Yv Fu; Qiong Xiao; Shi-Yv Ye; Zhen-Ning Wang
Journal:  BMC Cancer       Date:  2021-11-13       Impact factor: 4.430

5.  Tumor Volume Regression during and after Radiochemotherapy: A Macroscopic Description.

Authors:  Paolo Castorina; Gianluca Ferini; Emanuele Martorana; Stefano Forte
Journal:  J Pers Med       Date:  2022-03-26

6.  T2 relaxation time for the early prediction of treatment response to chemoradiation in locally advanced rectal cancer.

Authors:  Yuxi Ge; Yanlong Jia; Xiaohong Li; Weiqiang Dou; Zhong Chen; Gen Yan
Journal:  Insights Imaging       Date:  2022-07-07

7.  Linear Tumor Regression of Rectal Cancer in Daily MRI during Preoperative Chemoradiotherapy: An Insight of Tumor Regression Velocity for Personalized Cancer Therapy.

Authors:  Soo-Yoon Sung; Sea-Won Lee; Ji Hyung Hong; Hye Jin Kang; So Jung Lee; Myungsoo Kim; Ji-Hoon Kim; Yoo-Kang Kwak
Journal:  Cancers (Basel)       Date:  2022-08-01       Impact factor: 6.575

8.  Exploring MR regression patterns in rectal cancer during neoadjuvant radiochemotherapy with daily T2- and diffusion-weighted MRI.

Authors:  T Bostel; C Dreher; D Wollschläger; A Mayer; F König; S Bickelhaupt; H P Schlemmer; P E Huber; F Sterzing; P Bäumer; J Debus; N H Nicolay
Journal:  Radiat Oncol       Date:  2020-07-11       Impact factor: 3.481

9.  Delta radiomics for rectal cancer response prediction with hybrid 0.35 T magnetic resonance-guided radiotherapy (MRgRT): a hypothesis-generating study for an innovative personalized medicine approach.

Authors:  Luca Boldrini; Davide Cusumano; Giuditta Chiloiro; Calogero Casà; Carlotta Masciocchi; Jacopo Lenkowicz; Francesco Cellini; Nicola Dinapoli; Luigi Azario; Stefania Teodoli; Maria Antonietta Gambacorta; Marco De Spirito; Vincenzo Valentini
Journal:  Radiol Med       Date:  2018-10-29       Impact factor: 3.469

  9 in total

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