Cargando…

MRI anatomy of the rectum: key concepts important for rectal cancer staging and treatment planning

A good understanding of the MRI anatomy of the rectum and its surroundings is pivotal to ensure high-quality diagnostic evaluation and reporting of rectal cancer. With this pictorial review, we aim to provide an image-based overview of key anatomical concepts essential for treatment planning, respon...

Descripción completa

Detalles Bibliográficos
Autores principales:	Bogveradze, Nino, Snaebjornsson, Petur, Grotenhuis, Brechtje A., van Triest, Baukelien, Lahaye, Max J., Maas, Monique, Beets, Geerard L., Beets-Tan, Regina G. H., Lambregts, Doenja M. J.
Formato:	Online Artículo Texto
Lenguaje:	English
Publicado:	Springer Vienna 2023
Materias:	Educational Review
Acceso en línea:	https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9849549/ https://www.ncbi.nlm.nih.gov/pubmed/36652149 http://dx.doi.org/10.1186/s13244-022-01348-8

Ejemplares similares

Sense and non-sense of imaging in the era of organ preservation for rectal cancer
por: Ou, Xinde, et al.
Publicado: (2023)

Value of MRI and diffusion-weighted MRI for the diagnosis of locally recurrent rectal cancer
por: Lambregts, Doenja M. J., et al.
Publicado: (2011)

MRI and diffusion-weighted MRI to diagnose a local tumour regrowth during long-term follow-up of rectal cancer patients treated with organ preservation after chemoradiotherapy
por: Lambregts, Doenja M. J., et al.
Publicado: (2015)

Features on Endoscopy and MRI after Treatment with Contact X-ray Brachytherapy for Rectal Cancer: Explorative Results
por: Custers, Petra A., et al.
Publicado: (2022)

Pearls and pitfalls of structured staging and reporting of rectal cancer on MRI: an international multireader study
por: el Khababi, Najim, et al.
Publicado: (2023)

T-staging of rectal cancer: accuracy of 3.0 Tesla MRI compared with 1.5 Tesla
por: Maas, Monique, et al.
Publicado: (2011)

Predicting response to chemoradiotherapy in rectal cancer via visual morphologic assessment and staging on baseline MRI: a multicenter and multireader study
por: El Khababi, Najim, et al.
Publicado: (2023)

Nodal staging in rectal cancer: why is restaging after chemoradiation more accurate than primary nodal staging?
por: Heijnen, Luc A., et al.
Publicado: (2016)

Tumour ADC measurements in rectal cancer: effect of ROI methods on ADC values and interobserver variability
por: Lambregts, Doenja M. J., et al.
Publicado: (2011)

Measuring the apparent diffusion coefficient in primary rectal tumors: is there a benefit in performing histogram analyses?
por: van Heeswijk, Miriam M., et al.
Publicado: (2017)

Current controversies in TNM for the radiological staging of rectal cancer and how to deal with them: results of a global online survey and multidisciplinary expert consensus
por: Lambregts, Doenja M. J., et al.
Publicado: (2022)

Evolutions in rectal cancer MRI staging and risk stratification in The Netherlands
por: Bogveradze, Nino, et al.
Publicado: (2021)

Good and complete responding locally advanced rectal tumors after chemoradiotherapy: where are the residual positive nodes located on restaging MRI?
por: Heijnen, Luc A., et al.
Publicado: (2016)

Magnetization transfer imaging to assess tumour response after chemoradiotherapy in rectal cancer
por: Martens, Milou H, et al.
Publicado: (2015)

Diffusion-Weighted MRI for Selection of Complete Responders After Chemoradiation for Locally Advanced Rectal Cancer: A Multicenter Study
por: Lambregts, Doenja M. J., et al.
Publicado: (2011)

Development and multicenter validation of a multiparametric imaging model to predict treatment response in rectal cancer
por: Schurink, Niels W., et al.
Publicado: (2023)

Optimal imaging staging of rectal cancer
por: Lambregts, Doenja M.J., et al.
Publicado: (2013)

Size and depth of residual tumor after neoadjuvant chemoradiotherapy in rectal cancer – implications for the development of new imaging modalities for response assessment
por: van der Stel, Stefan D., et al.
Publicado: (2023)

Value of ADC measurements for nodal staging after chemoradiation in locally advanced rectal cancer—a per lesion validation study
por: Lambregts, Doenja M. J., et al.
Publicado: (2010)

What is the most accurate whole-body imaging modality for assessment of local and distant recurrent disease in colorectal cancer? A meta-analysis: Imaging for recurrent colorectal cancer
por: Maas, Monique, et al.
Publicado: (2011)

Role of Local Excision for Suspected Regrowth in a Watch and Wait Strategy for Rectal Cancer
por: Geubels, Barbara M., et al.
Publicado: (2022)

Assessment of Clinical Complete Response After Chemoradiation for Rectal Cancer with Digital Rectal Examination, Endoscopy, and MRI: Selection for Organ-Saving Treatment
por: Maas, Monique, et al.
Publicado: (2015)

Response evaluation after neoadjuvant treatment for rectal cancer using modern MR imaging: a pictorial review
por: Lambregts, Doenja M. J., et al.
Publicado: (2019)

Use of Image-Guided Surgical Navigation during Resection of Locally Recurrent Rectal Cancer
por: Groen, Harald C., et al.
Publicado: (2022)

The use of deep learning on endoscopic images to assess the response of rectal cancer after chemoradiation
por: Haak, Hester E., et al.
Publicado: (2021)

Correction: Groen et al. Use of Image-Guided Surgical Navigation during Resection of Locally Recurrent Rectal Cancer. Life 2022, 12, 645
por: Groen, Harald C., et al.
Publicado: (2023)

Contact X-ray Brachytherapy for Older or Inoperable Rectal Cancer Patients: Short-Term Oncological and Functional Follow-Up
por: Custers, Petra A., et al.
Publicado: (2021)

Selected stage IV rectal cancer patients managed by the watch‐and‐wait approach after pelvic radiotherapy: a good alternative to total mesorectal excision surgery?
por: Custers, Petra A., et al.
Publicado: (2022)

A decade of multi-modality PET and MR imaging in abdominal oncology
por: Min, Lisa A., et al.
Publicado: (2021)

The Apparent Diffusion Coefficient (ADC) is a useful biomarker in predicting metastatic colon cancer using the ADC-value of the primary tumor
por: Nerad, Elias, et al.
Publicado: (2019)

Deep Learning for Fully-Automated Localization and Segmentation of Rectal Cancer on Multiparametric MR
por: Trebeschi, Stefano, et al.
Publicado: (2017)

Author Correction: Deep Learning for Fully-Automated Localization and Segmentation of Rectal Cancer on Multiparametric MR
por: Trebeschi, Stefano, et al.
Publicado: (2018)

The accuracy of Multi-detector row CT for the assessment of tumor invasion of the mesorectal fascia in primary rectal cancer
por: Vliegen, Roy, et al.
Publicado: (2008)

Significant improvement after training in the assessment of lateral compartments and short-axis measurements of lateral lymph nodes in rectal cancer
por: Sluckin, Tania C., et al.
Publicado: (2022)

Modern MR Imaging Technology in Rectal Cancer; There Is More Than Meets the Eye
por: Haak, Hester E., et al.
Publicado: (2020)

Diffusion weighted imaging in patients with rectal cancer: Comparison between Gaussian and non-Gaussian models
por: Manikis, Georgios C., et al.
Publicado: (2017)

Correction: Diffusion weighted imaging in patients with rectal cancer: Comparison between Gaussian and non-Gaussian models
por: Manikis, Georgios C., et al.
Publicado: (2017)

Correction: Diffusion weighted imaging in patients with rectal cancer: Comparison between Gaussian and non-Gaussian models
por: Manikis, Georgios C., et al.
Publicado: (2018)

Locally advanced rectal cancer: 3D diffusion-prepared stimulated-echo turbo spin-echo versus 2D diffusion-weighted echo-planar imaging
por: Zhang, Qinwei, et al.
Publicado: (2020)

Sources of variation in multicenter rectal MRI data and their effect on radiomics feature reproducibility
por: Schurink, Niels W., et al.
Publicado: (2021)

Cannot write session to /tmp/vufind_sessions/sess_po5ncqbj1blp7qrdsqauadggrf