MRI for Rectal Cancer: Staging, mrCRM, EMVI, Lymph Node Staging and Post-Treatment Response

Bates, ‬David D. B.; Homsi, Maria El; Chang, Kevin J.; Lalwani, Neeraj; Horvat, Natally; Sheedy, Shannon P.

doi:10.1016/j.clcc.2021.10.007

Cited by 33 publications

(20 citation statements)

References 78 publications

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“…In previous studies, the evaluation of the vascular invasion outside the rectal cancer wall is basically to observe the relationship between the tumor and the invaded blood vessels, including the invaded blood vessel diameter, signal changes, and thrombosis ( 35 – 37 ). While our study mainly focused on observing the relationship between the MRI findings of the tumor itself and the superior rectal vein and the vascular invasion outside the wall of rectal cancer.…”

Section: Discussionmentioning

confidence: 99%

Extramural vascular invasion nomogram before radical resection of rectal cancer based on magnetic resonance imaging

Tian

Li²,

Xie³

et al. 2023

Front. Oncol.

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PurposeThis study verified the value of magnetic resonance imaging (MRI) to construct a nomogram to preoperatively predict extramural vascular invasion (EMVI) in rectal cancer using MRI characteristics.Materials and methodsThere were 55 rectal cancer patients with EMVI and 49 without EMVI in the internal training group. The external validation group consisted of 54 rectal cancer patients with EMVI and 55 without EMVI. High-resolution rectal T2WI, pelvic diffusion-weighted imaging (DWI) sequences, and dynamic contrast-enhanced magnetic resonance imaging (DCE-MRI) were used. We collected the following data: distance between the lower tumor margin and the anal margin, distance between the lower tumor margin and the anorectal ring, tumor proportion of intestinal wall, mrT stage, maximum tumor diameter, circumferential resection margin, superior rectal vein width, apparent diffusion coefficient (ADC), T2WI EMVI score, DWI and DCE-MRI EMVI scores, demographic information, and preoperative serum tumor marker data. Logistic regression analyses were used to identify independent risk factors of EMVI. A nomogram prediction model was constructed. Receiver operating characteristic curve analysis verified the predictive ability of the nomogram. P < 0.05 was considered significant.ResultTumor proportion of intestinal wall, superior rectal vein width, T2WI EMVI score, and carbohydrate antigen 19-9 were significant independent predictors of EMVI in rectal cancer and were used to create the model. The areas under the receiver operating characteristic curve, sensitivities, and specificities of the nomogram were 0.746, 65.45%, and 83.67% for the internal training group, respectively, and 0.780, 77.1%, and 71.3% for the external validation group, respectively.Data conclusionA nomogram including MRI characteristics can predict EMVI in rectal cancer preoperatively and provides a valuable reference to formulate individualized treatment plans and predict prognosis.

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Section: Discussionmentioning

confidence: 99%

Extramural vascular invasion nomogram before radical resection of rectal cancer based on magnetic resonance imaging

Tian

Li²,

Xie³

et al. 2023

Front. Oncol.

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“…Correct staging of rectal cancer is necessary because it can identify risk factors and help determine treatment course. [9][10][11][12] Defining tumor location as being lower (0−5 cm from the anal verge), middle (5.1−10 cm from the anal verge) or upper (10−15 cm from the anal verge) rectal also has an impact in management and can be determined with the use of MRI. 11 Regarding lower rectal tumors, the distance of a tumor from the mesorectal fascia (MRF) is an important data point for surgical planning.…”

Section: Mri Stagingmentioning

confidence: 99%

Evolution of therapy for locally advanced rectal cancer

Altomare,

Mulcahy

2023

Journal of Surgical Oncology

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Rectal cancer is a prevalent disease worldwide. The standard treatment of locally advanced rectal cancer (LARC) is preoperative chemoradiotherapy followed by surgery and adjuvant systemic chemotherapy. Studies have been done to determine the best sequence of treatments to improve survival, cure rate and long term toxicity profile. In this paper, we will review the literature regarding the evolution of LARC treatment.

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“…The interest for this neoplasm is related to the identification of the locally advanced cancer (T3 stage) with a complete response to neoadjuvant chemoradiotherapy that could be excluded from surgery [ 31 ]. The identification of such patients prior to treatment and the response to treatment are based only on MRI imaging [ 32 ].…”

Section: Use Casesmentioning

confidence: 99%

NAVIGATOR: an Italian regional imaging biobank to promote precision medicine for oncologic patients

Borgheresi

Barucci²,

Colantonio³

et al. 2022

Eur Radiol Exp

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NAVIGATOR is an Italian regional project boosting precision medicine in oncology with the aim of making it more predictive, preventive, and personalised by advancing translational research based on quantitative imaging and integrative omics analyses. The project’s goal is to develop an open imaging biobank for the collection and preservation of a large amount of standardised imaging multimodal datasets, including computed tomography, magnetic resonance imaging, and positron emission tomography data, together with the corresponding patient-related and omics-related relevant information extracted from regional healthcare services using an adapted privacy-preserving model. The project is based on an open-source imaging biobank and an open-science oriented virtual research environment (VRE). Available integrative omics and multi-imaging data of three use cases (prostate cancer, rectal cancer, and gastric cancer) will be collected. All data confined in NAVIGATOR (i.e., standard and novel imaging biomarkers, non-imaging data, health agency data) will be used to create a digital patient model, to support the reliable prediction of the disease phenotype and risk stratification. The VRE that relies on a well-established infrastructure, called D4Science.org, will further provide a multiset infrastructure for processing the integrative omics data, extracting specific radiomic signatures, and for identification and testing of novel imaging biomarkers through big data analytics and artificial intelligence.

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MRI for Rectal Cancer: Staging, mrCRM, EMVI, Lymph Node Staging and Post-Treatment Response

Cited by 33 publications

References 78 publications

Extramural vascular invasion nomogram before radical resection of rectal cancer based on magnetic resonance imaging

Extramural vascular invasion nomogram before radical resection of rectal cancer based on magnetic resonance imaging

Evolution of therapy for locally advanced rectal cancer

NAVIGATOR: an Italian regional imaging biobank to promote precision medicine for oncologic patients

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