Prospective, Multicenter Validation Study of Magnetic Resonance Volumetry for Response Assessment After Preoperative Chemoradiation in Rectal Cancer: Can the Results in the Literature be Reproduced?

Martens, Milou H.; Heeswijk, Miriam M. van; Broek, J.J. van den; Rao, Sheng-Xiang; Vandecaveye, Vincent; Vliegen, Roy A.; Schreurs, Wilhelmina H.; Beets, Geerard L.; Lambregts, Doenja M. J.; Beets‐Tan, Regina G. H.

doi:10.1016/j.ijrobp.2015.09.008

Cited by 45 publications

(31 citation statements)

References 35 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…whether this should be one-dimensional, three-dimensional or a volume measurement, and if and how after CRT an estimation of the tumour volume reduction should be provided. There is no solid evidence that favours one over another, although some authors have suggested that, specifically for assessment of chemoradiotherapeutic response, whole volume measurements may be preferable [ 23 ]. The panel acknowledges that several options exist but from a practical point of view decided to include tumour length as the main metric in the structured report template in Fig.…”

Section: Resultsmentioning

confidence: 99%

“…The panel acknowledges that several options exist but from a practical point of view decided to include tumour length as the main metric in the structured report template in Fig. 1 , as this was deemed to be most commonly used and more practically applicable than other metrics, with good reported measurement reproducibility [ 20 , 23 , 24 ].…”

Section: Resultsmentioning

confidence: 99%

See 1 more Smart Citation

Magnetic resonance imaging for clinical management of rectal cancer: Updated recommendations from the 2016 European Society of Gastrointestinal and Abdominal Radiology (ESGAR) consensus meeting

et al. 2017

View full text Add to dashboard Cite

ObjectivesTo update the 2012 ESGAR consensus guidelines on the acquisition, interpretation and reporting of magnetic resonance imaging (MRI) for clinical staging and restaging of rectal cancer.MethodsFourteen abdominal imaging experts from the European Society of Gastrointestinal and Abdominal Radiology (ESGAR) participated in a consensus meeting, organised according to an adaptation of the RAND-UCLA Appropriateness Method. Two independent (non-voting) Chairs facilitated the meeting. 246 items were scored (comprising 229 items from the previous 2012 consensus and 17 additional items) and classified as ‘appropriate’ or ‘inappropriate’ (defined by ≥ 80 % consensus) or uncertain (defined by < 80 % consensus).ResultsConsensus was reached for 226 (92 %) of items. From these recommendations regarding hardware, patient preparation, imaging sequences and acquisition, criteria for MR imaging evaluation and reporting structure were constructed. The main additions to the 2012 consensus include recommendations regarding use of diffusion-weighted imaging, criteria for nodal staging and a recommended structured report template.ConclusionsThese updated expert consensus recommendations should be used as clinical guidelines for primary staging and restaging of rectal cancer using MRI.Key Points• These guidelines present recommendations for staging and reporting of rectal cancer. • The guidelines were constructed through consensus amongst 14 pelvic imaging experts. • Consensus was reached by the experts for 92 % of the 246 items discussed. • Practical guidelines for nodal staging are proposed. • A structured reporting template is presented. Electronic supplementary materialThe online version of this article (10.1007/s00330-017-5026-2) contains supplementary material, which is available to authorized users.

show abstract

Section: Resultsmentioning

confidence: 99%

Section: Resultsmentioning

confidence: 99%

Magnetic resonance imaging for clinical management of rectal cancer: Updated recommendations from the 2016 European Society of Gastrointestinal and Abdominal Radiology (ESGAR) consensus meeting

et al. 2017

View full text Add to dashboard Cite

show abstract

“…In addition, MRI can play a role in predicting clinically relevant endpoints, one of the most important ones being the response to neoadjuvant treatment 1–3 . Predicting which patients will show a very good response to treatment can have important clinical implications, since these patients may be considered for organ-preserving treatment strategies (local excision or watchful waiting) as an alternative to standard surgical resection 4 .…”

Section: Introductionmentioning

confidence: 99%

Deep Learning for Fully-Automated Localization and Segmentation of Rectal Cancer on Multiparametric MR

Trebeschi

Griethuysen

Lambregts

et al. 2017

Sci Rep

238

149

View full text Add to dashboard Cite

Multiparametric Magnetic Resonance Imaging (MRI) can provide detailed information of the physical characteristics of rectum tumours. Several investigations suggest that volumetric analyses on anatomical and functional MRI contain clinically valuable information. However, manual delineation of tumours is a time consuming procedure, as it requires a high level of expertise. Here, we evaluate deep learning methods for automatic localization and segmentation of rectal cancers on multiparametric MR imaging. MRI scans (1.5T, T2-weighted, and DWI) of 140 patients with locally advanced rectal cancer were included in our analysis, equally divided between discovery and validation datasets. Two expert radiologists segmented each tumor. A convolutional neural network (CNN) was trained on the multiparametric MRIs of the discovery set to classify each voxel into tumour or non-tumour. On the independent validation dataset, the CNN showed high segmentation accuracy for reader1 (Dice Similarity Coefficient (DSC = 0.68) and reader2 (DSC = 0.70). The area under the curve (AUC) of the resulting probability maps was very high for both readers, AUC = 0.99 (SD = 0.05). Our results demonstrate that deep learning can perform accurate localization and segmentation of rectal cancer in MR imaging in the majority of patients. Deep learning technologies have the potential to improve the speed and accuracy of MRI-based rectum segmentations.

show abstract

“…Clinicians are used to this discordance and some authors have proposed that the rate of tumor volume reduction can be more important than plain RECIST downsizing criteria for prognosis and propose dynamic MRI with volumetric measures as a more useful tool in this context (15,16). We feel that the explanation for this apparent discordance between MRI estimation of response and histopathological regression can be the pattern of regression.…”

Section: Discussionmentioning

confidence: 98%

Prognostic influence of histopathological regression patterns in rectal adenocarcinoma receiving neoadjuvant therapy

Fernández-Aceñero¹,

Muñoz²,

Varela³

et al. 2017

J. Gastrointest. Oncol.

View full text Add to dashboard Cite

Results: A total of 183 patients from two hospitals. The concordance rate between pathologists was good. In total, 18% of the patients showed grade 0 (complete response), 31.7% grade 1, 19.2% grade 2 and 31.1% grade 3 regression. T down-staging was found in 51.9% of the cases. 46 patients recurred and 18 died of disease (median follow-up time: 39 months). We found a statistically significant association between pathological response and pT stage and down-staging. Inflammatory reaction in the tumor bed was significantly associated to regression and prognosis. Cox's multivariate analysis of survival revealed that down-staging and presence of mucin pools in the tumor bed behaved as significant predictors of recurrence and regression grade and mucin pools as significant predictors of survival.Conclusions: Pathological response is an important surrogate marker of prognosis in some large series, but results are varying. There are many systems to grade regression and this makes it difficult to compare the results by different groups. It is important to report the specific pattern of response, for some of them may have prognostic relevance. We feel there is an urgent need to develop standarized protocols and employ a universal regression scheme if we intend to use this factor to guide therapy.

show abstract

Prospective, Multicenter Validation Study of Magnetic Resonance Volumetry for Response Assessment After Preoperative Chemoradiation in Rectal Cancer: Can the Results in the Literature be Reproduced?

Cited by 45 publications

References 35 publications

Magnetic resonance imaging for clinical management of rectal cancer: Updated recommendations from the 2016 European Society of Gastrointestinal and Abdominal Radiology (ESGAR) consensus meeting

Magnetic resonance imaging for clinical management of rectal cancer: Updated recommendations from the 2016 European Society of Gastrointestinal and Abdominal Radiology (ESGAR) consensus meeting

Deep Learning for Fully-Automated Localization and Segmentation of Rectal Cancer on Multiparametric MR

Prognostic influence of histopathological regression patterns in rectal adenocarcinoma receiving neoadjuvant therapy

Contact Info

Product

Resources

About