221 related articles for article (PubMed ID: 33569624)
41. Magnetic resonance based texture parameters as potential imaging biomarkers for predicting long-term survival in locally advanced rectal cancer treated by chemoradiotherapy.
Jalil O; Afaq A; Ganeshan B; Patel UB; Boone D; Endozo R; Groves A; Sizer B; Arulampalam T
Colorectal Dis; 2017 Apr; 19(4):349-362. PubMed ID: 27538267
[TBL] [Abstract][Full Text] [Related]
42. Fifteen different 18F-FDG PET/CT qualitative and quantitative parameters investigated as pathological response predictors of locally advanced rectal cancer treated by neoadjuvant chemoradiation therapy.
Maffione AM; Ferretti A; Grassetto G; Bellan E; Capirci C; Chondrogiannis S; Gava M; Marzola MC; Rampin L; Bondesan C; Colletti PM; Rubello D
Eur J Nucl Med Mol Imaging; 2013 Jun; 40(6):853-64. PubMed ID: 23417501
[TBL] [Abstract][Full Text] [Related]
43. Response to neoadjuvant chemoradiotherapy for locally advanced rectum cancer: Texture analysis of dynamic contrast-enhanced MRI.
Zou HH; Yu J; Wei Y; Wu JF; Xu Q
J Magn Reson Imaging; 2019 Mar; 49(3):885-893. PubMed ID: 30079601
[TBL] [Abstract][Full Text] [Related]
44. The value of liver-based standardized uptake value and other quantitative 18F-FDG PET-CT parameters in neoadjuvant therapy response in patients with locally advanced rectal cancer: correlation with histopathology.
Koç M; Kaya GÇ; Demir Y; Sürücü E; Sarioğlu S; Obuz F; Öztop İ; Görken İB; Sökmen S
Nucl Med Commun; 2015 Sep; 36(9):898-907. PubMed ID: 25969176
[TBL] [Abstract][Full Text] [Related]
45. Sequential FDG-PET/CT reliably predicts response of locally advanced rectal cancer to neo-adjuvant chemo-radiation therapy.
Capirci C; Rampin L; Erba PA; Galeotti F; Crepaldi G; Banti E; Gava M; Fanti S; Mariani G; Muzzio PC; Rubello D
Eur J Nucl Med Mol Imaging; 2007 Oct; 34(10):1583-93. PubMed ID: 17503039
[TBL] [Abstract][Full Text] [Related]
46. The efficiency of
Uemura M; Ikeda M; Handa R; Danno K; Nishimura J; Hata T; Takemasa I; Mizushima T; Yamamoto H; Sekimoto M; Doki Y; Eguchi H
BMC Cancer; 2021 Oct; 21(1):1132. PubMed ID: 34674666
[TBL] [Abstract][Full Text] [Related]
47. The Predictive Value of Baseline Volumetric PET/CT Parameters on Treatment Response and Prognosis in Locally Advanced Rectal Cancer Treated with Neoadjuvant Chemoradiotherapy.
Sakin A; Sahin S; Karyagar SS; Karyagar S; Atci M; Akboru MH; Cihan S
J Gastrointest Cancer; 2022 Jun; 53(2):341-347. PubMed ID: 33651265
[TBL] [Abstract][Full Text] [Related]
48. Semiquantitative Volumetry by Sequential PET/CT May Improve Prediction of Complete Response to Neoadjuvant Chemoradiation in Patients With Distal Rectal Cancer.
Dos Anjos DA; Perez RO; Habr-Gama A; São Julião GP; Vailati BB; Fernandez LM; de Sousa JB; Buchpiguel CA
Dis Colon Rectum; 2016 Sep; 59(9):805-12. PubMed ID: 27505108
[TBL] [Abstract][Full Text] [Related]
49. Analysis of MRI and CT-based radiomics features for personalized treatment in locally advanced rectal cancer and external validation of published radiomics models.
Shahzadi I; Zwanenburg A; Lattermann A; Linge A; Baldus C; Peeken JC; Combs SE; Diefenhardt M; Rödel C; Kirste S; Grosu AL; Baumann M; Krause M; Troost EGC; Löck S
Sci Rep; 2022 Jun; 12(1):10192. PubMed ID: 35715462
[TBL] [Abstract][Full Text] [Related]
50. Textural Parameters of Tumor Heterogeneity in ¹⁸F-FDG PET/CT for Therapy Response Assessment and Prognosis in Patients with Locally Advanced Rectal Cancer.
Bundschuh RA; Dinges J; Neumann L; Seyfried M; Zsótér N; Papp L; Rosenberg R; Becker K; Astner ST; Henninger M; Herrmann K; Ziegler SI; Schwaiger M; Essler M
J Nucl Med; 2014 Jun; 55(6):891-7. PubMed ID: 24752672
[TBL] [Abstract][Full Text] [Related]
51. Comparison of restaging accuracy of repeat FDG-PET/CT with pelvic MRI after preoperative chemoradiation in patients with rectal cancer.
Huh JW; Kwon SY; Lee JH; Kim HR
J Cancer Res Clin Oncol; 2015 Feb; 141(2):353-9. PubMed ID: 25181962
[TBL] [Abstract][Full Text] [Related]
52. Predicting poor response to neoadjuvant chemoradiotherapy for locally advanced rectal cancer: Model constructed using pre-treatment MRI features of structured report template.
Tang X; Jiang W; Li H; Xie F; Dong A; Liu L; Li L
Radiother Oncol; 2020 Jul; 148():97-106. PubMed ID: 32339781
[TBL] [Abstract][Full Text] [Related]
53. Nomogram predicting response after chemoradiotherapy in rectal cancer using sequential PETCT imaging: a multicentric prospective study with external validation.
van Stiphout RG; Valentini V; Buijsen J; Lammering G; Meldolesi E; van Soest J; Leccisotti L; Giordano A; Gambacorta MA; Dekker A; Lambin P
Radiother Oncol; 2014 Nov; 113(2):215-22. PubMed ID: 25466368
[TBL] [Abstract][Full Text] [Related]
54. MRI radiomics features of mesorectal fat can predict response to neoadjuvant chemoradiation therapy and tumor recurrence in patients with locally advanced rectal cancer.
Jayaprakasam VS; Paroder V; Gibbs P; Bajwa R; Gangai N; Sosa RE; Petkovska I; Golia Pernicka JS; Fuqua JL; Bates DDB; Weiser MR; Cercek A; Gollub MJ
Eur Radiol; 2022 Feb; 32(2):971-980. PubMed ID: 34327580
[TBL] [Abstract][Full Text] [Related]
55. MRI and FDG-PET for assessment of response to neoadjuvant chemotherapy in locally advanced rectal cancer.
Aiba T; Uehara K; Nihashi T; Tsuzuki T; Yatsuya H; Yoshioka Y; Kato K; Nagino M
Ann Surg Oncol; 2014 Jun; 21(6):1801-8. PubMed ID: 24531702
[TBL] [Abstract][Full Text] [Related]
56. [Application of magnetic resonance in "non-operative treatment" strategy for rectal cancer].
Wang Y; Chen G
Zhonghua Wei Chang Wai Ke Za Zhi; 2017 Jun; 20(6):630-634. PubMed ID: 28643307
[TBL] [Abstract][Full Text] [Related]
57. Early prediction of response by ¹⁸F-FDG PET/CT during preoperative therapy in locally advanced rectal cancer: a systematic review.
Maffione AM; Chondrogiannis S; Capirci C; Galeotti F; Fornasiero A; Crepaldi G; Grassetto G; Rampin L; Marzola MC; Rubello D
Eur J Surg Oncol; 2014 Oct; 40(10):1186-94. PubMed ID: 25060221
[TBL] [Abstract][Full Text] [Related]
58. The value of 18F-FDG PET/CT for assessing the response to neoadjuvant therapy in locally advanced rectal cancer.
Murcia Duréndez MJ; Frutos Esteban L; Luján J; Frutos MD; Valero G; Navarro Fernández JL; Mohamed Salem L; Ruiz Merino G; Claver Valderas MA
Eur J Nucl Med Mol Imaging; 2013 Jan; 40(1):91-7. PubMed ID: 23081822
[TBL] [Abstract][Full Text] [Related]
59. Standardized Index of Shape (DCE-MRI) and Standardized Uptake Value (PET/CT): Two quantitative approaches to discriminate chemo-radiotherapy locally advanced rectal cancer responders under a functional profile.
Petrillo A; Fusco R; Petrillo M; Granata V; Delrio P; Bianco F; Pecori B; Botti G; Tatangelo F; Caracò C; Aloj L; Avallone A; Lastoria S
Oncotarget; 2017 Jan; 8(5):8143-8153. PubMed ID: 28042958
[TBL] [Abstract][Full Text] [Related]
60. Predicting Rectal Cancer Response to Neoadjuvant Chemoradiotherapy Using Deep Learning of Diffusion Kurtosis MRI.
Zhang XY; Wang L; Zhu HT; Li ZW; Ye M; Li XT; Shi YJ; Zhu HC; Sun YS
Radiology; 2020 Jul; 296(1):56-64. PubMed ID: 32315264
[TBL] [Abstract][Full Text] [Related]
[Previous] [Next] [New Search]