Sung H, Ferlay J, Siegel RL, Laversanne M, Soerjomataram I, Jemal A, et al. Global cancer statistics 2020: GLOBOCAN estimates of incidence and mortality worldwide for 36 cancers in 185 countries. CA Cancer J Clin. 2021;71:209–49. https://doi.org/10.3322/caac.21660.
2.López-Campos F, Martín-Martín M, Fornell-Pérez R, García-Pérez JC, Die-Trill J, Fuentes-Mateos R, et al. Watch and wait approach in rectal cancer: current controversies and future directions. World J Gastroenterol. 2020;26:4218–39. https://doi.org/10.3748/wjg.v26.i29.4218.
Article PubMed PubMed Central Google Scholar
3.Santiago I, Rodrigues B, Barata M, Figueiredo N, Fernandez L, Galzerano A, et al. Re-staging and follow-up of rectal cancer patients with MR imaging when “Watch-and-Wait” is an option: a practical guide. Insights Imaging. 2021;12:114. https://doi.org/10.1186/s13244-021-01055-w.
Article PubMed PubMed Central Google Scholar
4.Kasi A, Abbasi S, Handa S, Al-Rajabi R, Saeed A, Baranda J, et al. Total neoadjuvant therapy vs standard therapy in locally advanced rectal cancer: a systematic review and meta-analysis. JAMA Netw Open. 2020;3(12): e2030097. https://doi.org/10.1001/jamanetworkopen.2020.30097.
Article PubMed PubMed Central Google Scholar
5.Bhoday J, Balyasnikova S, Wale A, Brown G. How should imaging direct/orient management of rectal cancer? Clin Colon Rectal Surg. 2017;30:297–312. https://doi.org/10.1055/s-0037-1606107.
Article PubMed PubMed Central Google Scholar
6.Santiago I, Figueiredo N, Parés O, Matos C. MRI of rectal cancer-relevant anatomy and staging key points. Insights Imaging. 2020;11:100. https://doi.org/10.1186/s13244-020-00890-7.
Article PubMed PubMed Central Google Scholar
7.• Krdzalic J, Maas M, Gollub MJ, Beets-Tan RGH. Guidelines for MR imaging in rectal cancer: Europe versus United States. Abdom Radiol (NY). 2019;44:3498–507. doi: https://doi.org/10.1007/s00261-019-02251-5. An important paper comparing American and European guidelines and protocols for rectal MRI, which improve imaging quality and reporting standardization.
8.Nerad E, Lambregts DM, Kersten EL, Maas M, Bakers FC, van den Bosch HC, et al. MRI for local staging of colon cancer: can MRI become the optimal staging modality for patients with colon cancer? Dis Colon Rectum. 2017;60:385–92. https://doi.org/10.1097/DCR.0000000000000794.
9.Laghi A. CT colonography: an update on current and future indications. Expert Rev Gastroenterol Hepatol. 2016;10:785–94. https://doi.org/10.1586/17474124.2016.1143358.
CAS Article PubMed Google Scholar
10.Mainenti PP, Stanzione A, Guarino S, Romeo V, Ugga L, Romano F, et al. Colorectal cancer: parametric evaluation of morphological, functional and molecular tomographic imaging. World J Gastroenterol. 2019;25:5233–56. https://doi.org/10.3748/wjg.v25.i35.5233.
CAS Article PubMed PubMed Central Google Scholar
11.•• García-Figueiras R, Baleato-González S, Padhani AR, Luna-Alcalá A, Marhuenda A, Vilanova JC, et al. Advanced imaging techniques in evaluation of colorectal cancer. Radiographics. 2018;38:740–65. doi: https://doi.org/10.1148/rg.2018170044. This paper represents the most detailed and up-to-date review of the role of advanced imaging techniques in colorectal tumours.
12.Hsieh J, Flohr T. Computed tomography recent history and future perspectives. J Med Imaging (Bellingham). 2021;8: 052109. https://doi.org/10.1117/1.JMI.8.5.052109.
13.Willemink MJ, Noël PB. The evolution of image reconstruction for CT-from filtered back projection to artificial intelligence. Eur Radiol. 2019;29:2185–95. https://doi.org/10.1007/s00330-018-5810-7.
14.Zhang Q, Eagleson R, Peters TM. Volume visualization: a technical overview with a focus on medical applications. J Digit Imaging. 2011;24:640–4. https://doi.org/10.1007/s10278-010-9321-6.
15.Planz VB, Lubner MG, Pickhardt PJ. Volumetric analysis at abdominal CT: oncologic and non-oncologic applications. Br J Radiol. 2019;92:20180631. https://doi.org/10.1259/bjr.20180631.
16.Dappa E, Higashigaito K, Fornaro J, Leschka S, Wildermuth S, Alkadhi H. Cinematic rendering - an alternative to volume rendering for 3D computed tomography imaging. Insights Imaging. 2016;7:849–56. https://doi.org/10.1007/s13244-016-0518-1.
Article PubMed PubMed Central Google Scholar
17.• Spada C, Hassan C, Bellini D, Burling D, Cappello G, Carretero C, et al. Imaging alternatives to colonoscopy: CT colonography and colon capsule. European Society of Gastrointestinal Endoscopy (ESGE) and European Society of Gastrointestinal and Abdominal Radiology (ESGAR) Guideline - Update 2020. Eur Radiol. 2021;31:2967–82. doi: https://doi.org/10.1007/s00330-020-07413-4. A consensus that establish clinical scenarios for the use of alternative techniques to optical colonoscopy.
18.Yee J, Chang KJ, Dachman AH, Kim DH, McFarland EG, Pickhardt PJ, et al. The added value of the CT colonography reporting and data system. J Am Coll Radiol. 2016;13:931–5. https://doi.org/10.1016/j.jacr.2016.04.031.
19.Bates DDB, Paroder V, Lall C, Lalwani N, Widmar M, Garcia-Aguilar J. Complete mesocolic excision and central vascular ligation for right colon cancer: an introduction for abdominal radiologists. Abdom Radiol (NY). 2019;44:3518–26. https://doi.org/10.1007/s00261-019-02037-9.
20.Nepal P, Mori S, Kita Y, Tanabe K, Baba K, Sasaki K, et al. Anatomical study of the inferior mesenteric vein using three-dimensional computed tomography angiography in laparoscopy-assisted surgery for left-sided colorectal cancer. Surg Today. 2021. https://doi.org/10.1007/s00595-021-02292-8. Online ahead of print.
21.Park JY, Kim SH, Lee SM, Lee JS, Han JK. CT volumetric measurement of colorectal cancer helps predict tumor staging and prognosis. PLoS One. 2017;12:e0178522. https://doi.org/10.1371/journal.pone.0178522. eCollection 2017.
22.Lim MC, Tan CH, Cai J, Zheng J, Kow AW. CT volumetry of the liver: where does it stand in clinical practice? Clin Radiol. 2014;69:887–95. https://doi.org/10.1016/j.crad.2013.12.021.
CAS Article PubMed Google Scholar
23.Zimmermann M, Kuhl CK, Engelke H, Bettermann G, Keil S. CT-based whole-body tumor volumetry versus RECIST 1.1: feasibility and implications for inter-reader variability. Eur J Radiol. 2021;135:109514. https://doi.org/10.1016/j.ejrad.2020.109514.
24.Rothe JH, Grieser C, Lehmkuhl L, Schnapauff D, Fernandez CP, Maurer MH, et al. Size determination and response assessment of liver metastases with computed tomography–comparison of RECIST and volumetric algorithms. Eur J Radiol. 2013;82:1831–9. https://doi.org/10.1016/j.ejrad.2012.05.018.
25.• Winter KS, Hofmann FO, Thierfelder KM, Holch JW, Hesse N, Baumann AB, et al. Towards volumetric thresholds in RECIST 1.1: therapeutic response assessment in hepatic metastases. Eur Radiol. 2018;28:4839–48. doi: https://doi.org/10.1007/s00330-018-5424-0. A study that demonstrates the possibility of using volumetric measurements instead of the classic value of the largest diameter of the lesions (RECIST) in the assessment of response of colorectal cancer. Volumetric measurements represent more accurately tumour burden.
26.Rowe SP, Chu LC, Fishman EK. Computed tomography cinematic rendering in the evaluation of colonic pathology: technique and clinical applications. J Comput Assist Tomogr. 2019;43:475–84. https://doi.org/10.1097/RCT.0000000000000864.
27.Srinivasan S. Dual-energy CT in colorectal cancers: beyond the density measurements. Diagn Interv Radiol. 2017;23:479–80. https://doi.org/10.5152/dir.2017.17287.
Article PubMed PubMed Central Google Scholar
28.Sun K, Han R, Han Y, Shi X, Hu J, Lu B. Accuracy of combined computed tomography colonography and dual energy iiodine map imaging for detecting colorectal masses using high-pitch dual-source CT. Sci Rep. 2018;8:3790. https://doi.org/10.1038/s41598-018-22188-x.
CAS Article PubMed PubMed Central Google Scholar
29.Al-Najami I, Mahmoud Sheta H, Baatrup G. Differentiation between malignant and benign rectal tumors by dual-energy computed tomography - a feasibility study. Acta Oncol. 2019;58(sup1):S55–9. https://doi.org/10.1080/0284186X.2019.1574404.
30.Chuang-Bo Y, Tai-Ping H, Hai-Feng D, et al. Quantitative assessment of the degree of differentiation in colon cancer with dual-energy spectral CT. Abdom Radiol (NY). 2017;42:2591–6. https://doi.org/10.1007/s00261-017-1176-6.41.
31.Gong HX, Zhang KB, Wu LM, et al. Dual energy spectral CT imaging for colorectal cancer grading: a preliminary study. PLoS ONE. 2016;11: e0147756. https://doi.org/10.1371/journal.pone.0147756.
CAS Article PubMed PubMed Central Google Scholar
32.Wu J, Lv Y, Wang N, et al. The value of single-source dual-energy CT imaging for discriminating microsatellite instability from microsatellite stability human colorectal cancer. Eur Radiol. 2019;29:3782–90. https://doi.org/10.1007/s00330-019-06144-5.
33.Cao Y, Zhang G, Bao H, Zhang S, Zhang J, Zhao Z, et al. Development of a dual-energy spectral CT based nomogram for the preoperative discrimination of mutated and wild-type KRAS in patients with colorectal cancer. Clin Imaging. 2021;69:205–12. https://doi.org/10.1016/j.clinimag.2020.08.023.
34.Fan S, Li X, Zheng L, Hu D, Ren X, Ye Z. Correlations between the iodine concentrations from dual energy computed tomography and molecular markers Ki-67 and HIF-1α in rectal cancer: a preliminary study. Eur J Radiol. 2017;96:109–14. https://doi.org/10.1016/j.ejrad.2017.08.026.
35.Kang HJ, Kim SH, Bae JS, Jeon SK, Han JK. Can quantitative iodine parameters on DECT replace perfusion CT parameters in colorectal cancers? Eur Radiol. 2018;28:4775–82. https://doi.org/10.1007/s00330-018-5502-3.
36.Kato T, Uehara K, Ishigaki S, Nihashi T, Arimoto A, Nakamura H, et al. Clinical significance of dual-energy CT-derived iodine quantification in the diagnosis of metastatic LN in colorectal cancer. Eur J Surg Oncol. 2015;41:1464–70.
37.Yang Z, Zhang X, Fang M, Li G, Duan X, Mao J, et al. Preoperative diagnosis of regional lymph node metastasis of colorectal cancer with quantitative parameters from dual-energy CT. AJR Am J Roentgenol. 2019;213:W17-25. https://doi.org/10.2214/AJR.18.20843.
38.Liu H, Yan F, Pan Z, et al. Evaluation of dual energy spectral CT in differentiating metastatic from non-metastatic lymph nodes in rectal cancer: initial experience. Eur J Radiol. 2015;84:228–34.
39.Al-Najami I, Drue HC, Steele R, Baatrup G. DECT - a possible new method to assess regression of rectal cancers after neoadjuvant treatment. J Surg Oncol. 2017;116:984–8.
40.Sauter AP, Kössinger A, Beck S, Deniffel D, Dapper H, Combs SE, et al. Dual-energy CT parameters in correlation to MRI-based apparent diffusion coefficient: evaluation in rectal cancer after radiochemotherapy. Acta Radiol Open. 2020;9:2058460120945316. https://doi.org/10.1177/2058460120945316.
Article PubMed PubMed Central Google Scholar
41.García-Figueiras R, Goh VJ, Padhani AR, Baleato-González S, Garrido M, León L, et al. CT perfusion in oncologic imaging: a useful tool? AJR Am J Roentgenol. 2013;200:8–19. https://doi.org/10.2214/AJR.11.8476.
42.Goh V, Glynne-Jones R. Perfusion CT imaging of colorectal cancer. Br J Radiol. 2014;87:20130811. https://doi.org/10.1259/bjr.20130811.
CAS Article PubMed PubMed Central Google Scholar
43.Muenzel D, Bar-Ness D, Roessl E, Blevis I, Bartels M, Fingerle AA, et al. Spectral photon-counting CT: initial experience with dual-contrast agent K-edge colonography. Radiology. 2017;283:723–8. https://doi.org/10.1148/radiol.2016160890.
44.
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