188 related articles for article (PubMed ID: 34954921)
1. Complete Pathologic Response Prediction by Radiomics Wavelets Features of Unenhanced CT Simulation Images in Locally Advanced Rectal Cancer Patients after Neoadjuvant Chemoradiation.
Lutsyk M; Gourevich K; Keidar Z
Isr Med Assoc J; 2021 Dec; 23(12):805-810. PubMed ID: 34954921
[TBL] [Abstract][Full Text] [Related]
2. Tumor Volume as Predictor of Pathologic Complete Response Following Neoadjuvant Chemoradiation in Locally Advanced Rectal Cancer.
Lutsyk M; Awawda M; Gourevich K; Ben Yosef R
Am J Clin Oncol; 2021 Sep; 44(9):482-486. PubMed ID: 34269693
[TBL] [Abstract][Full Text] [Related]
3. Radiomics of MRI for pretreatment prediction of pathologic complete response, tumor regression grade, and neoadjuvant rectal score in patients with locally advanced rectal cancer undergoing neoadjuvant chemoradiation: an international multicenter study.
Shaish H; Aukerman A; Vanguri R; Spinelli A; Armenta P; Jambawalikar S; Makkar J; Bentley-Hibbert S; Del Portillo A; Kiran R; Monti L; Bonifacio C; Kirienko M; Gardner KL; Schwartz L; Keller D
Eur Radiol; 2020 Nov; 30(11):6263-6273. PubMed ID: 32500192
[TBL] [Abstract][Full Text] [Related]
4. Prognostic value of the texture analysis parameters of the initial computed tomographic scan for response to neoadjuvant chemoradiation therapy in patients with locally advanced rectal cancer.
Vandendorpe B; Durot C; Lebellec L; Le Deley MC; Sylla D; Bimbai AM; Amroun K; Ramiandrisoa F; Cordoba A; Mirabel X; Hoeffel C; Pasquier D; Servagi-Vernat S
Radiother Oncol; 2019 Jun; 135():153-160. PubMed ID: 31015162
[TBL] [Abstract][Full Text] [Related]
5. [A prediction model of pathological complete response in patients with locally advanced rectal cancer after PD-1 antibody combined with total neoadjuvant chemoradiotherapy based on MRI radiomics].
Zhang XY; Zhu HT; Li XT; Li YJ; Li ZW; Wang WH; Wu AW; Sun YS; Zhang L
Zhonghua Wei Chang Wai Ke Za Zhi; 2022 Mar; 25(3):228-234. PubMed ID: 35340172
[No Abstract] [Full Text] [Related]
6. Simulation CT-based radiomics for prediction of response after neoadjuvant chemo-radiotherapy in patients with locally advanced rectal cancer.
Bonomo P; Socarras Fernandez J; Thorwarth D; Casati M; Livi L; Zips D; Gani C
Radiat Oncol; 2022 Apr; 17(1):84. PubMed ID: 35484597
[TBL] [Abstract][Full Text] [Related]
7. Predictive Significance of Mucinous Histology on Pathologic Complete Response Rate Following Capecitabine-Based Neoadjuvant Chemoradiation in Rectal Cancer: a Comparative Study.
Hosseini S; Nguyen N; Mohammadianpanah M; Mirzaei S; Bananzadeh AM
J Gastrointest Cancer; 2019 Dec; 50(4):716-722. PubMed ID: 29984382
[TBL] [Abstract][Full Text] [Related]
8. MRI features and texture analysis for the early prediction of therapeutic response to neoadjuvant chemoradiotherapy and tumor recurrence of locally advanced rectal cancer.
Park H; Kim KA; Jung JH; Rhie J; Choi SY
Eur Radiol; 2020 Aug; 30(8):4201-4211. PubMed ID: 32270317
[TBL] [Abstract][Full Text] [Related]
9. Radiomic Features of Primary Rectal Cancers on Baseline T
Antunes JT; Ofshteyn A; Bera K; Wang EY; Brady JT; Willis JE; Friedman KA; Marderstein EL; Kalady MF; Stein SL; Purysko AS; Paspulati R; Gollamudi J; Madabhushi A; Viswanath SE
J Magn Reson Imaging; 2020 Nov; 52(5):1531-1541. PubMed ID: 32216127
[TBL] [Abstract][Full Text] [Related]
10. The predictive role of sequential FDG-PET/CT in response of locally advanced rectal cancer to neoadjuvant chemoradiation.
Huh JW; Min JJ; Lee JH; Kim HR; Kim YJ
Am J Clin Oncol; 2012 Aug; 35(4):340-4. PubMed ID: 21422901
[TBL] [Abstract][Full Text] [Related]
11. Pre-treatment ADC image-based random forest classifier for identifying resistant rectal adenocarcinoma to neoadjuvant chemoradiotherapy.
Yang C; Jiang ZK; Liu LH; Zeng MS
Int J Colorectal Dis; 2020 Jan; 35(1):101-107. PubMed ID: 31786652
[TBL] [Abstract][Full Text] [Related]
12. CT-based radiomic features to predict pathological response in rectal cancer: A retrospective cohort study.
Yuan Z; Frazer M; Zhang GG; Latifi K; Moros EG; Feygelman V; Felder S; Sanchez J; Dessureault S; Imanirad I; Kim RD; Harrison LB; Hoffe SE; Frakes JM
J Med Imaging Radiat Oncol; 2020 Jun; 64(3):444-449. PubMed ID: 32386109
[TBL] [Abstract][Full Text] [Related]
13. Radiomics performs comparable to morphologic assessment by expert radiologists for prediction of response to neoadjuvant chemoradiotherapy on baseline staging MRI in rectal cancer.
van Griethuysen JJM; Lambregts DMJ; Trebeschi S; Lahaye MJ; Bakers FCH; Vliegen RFA; Beets GL; Aerts HJWL; Beets-Tan RGH
Abdom Radiol (NY); 2020 Mar; 45(3):632-643. PubMed ID: 31734709
[TBL] [Abstract][Full Text] [Related]
14. Individualized threshold for tumor segmentation in 18F-FDG PET/CT imaging: The key for response evaluation of neoadjuvant chemoradiation therapy in patients with rectal cancer?
Fagundes TC; Mafra A; Silva RG; Castro ACG; Silva LC; Aguiar PT; Silva JA; P Junior E; Machado AM; Mamede M
Rev Assoc Med Bras (1992); 2018 Feb; 64(2):119-126. PubMed ID: 29641665
[TBL] [Abstract][Full Text] [Related]
15. Deep Learning and Radiomics predict complete response after neo-adjuvant chemoradiation for locally advanced rectal cancer.
Bibault JE; Giraud P; Housset M; Durdux C; Taieb J; Berger A; Coriat R; Chaussade S; Dousset B; Nordlinger B; Burgun A
Sci Rep; 2018 Aug; 8(1):12611. PubMed ID: 30135549
[TBL] [Abstract][Full Text] [Related]
16. Response prediction of neoadjuvant chemoradiation therapy in locally advanced rectal cancer using CT-based fractal dimension analysis.
Tochigi T; Kamran SC; Parakh A; Noda Y; Ganeshan B; Blaszkowsky LS; Ryan DP; Allen JN; Berger DL; Wo JY; Hong TS; Kambadakone A
Eur Radiol; 2022 Apr; 32(4):2426-2436. PubMed ID: 34643781
[TBL] [Abstract][Full Text] [Related]
17. Value of combined multiparametric MRI and FDG-PET/CT to identify well-responding rectal cancer patients before the start of neoadjuvant chemoradiation.
Schurink NW; Min LA; Berbee M; van Elmpt W; van Griethuysen JJM; Bakers FCH; Roberti S; van Kranen SR; Lahaye MJ; Maas M; Beets GL; Beets-Tan RGH; Lambregts DMJ
Eur Radiol; 2020 May; 30(5):2945-2954. PubMed ID: 32034488
[TBL] [Abstract][Full Text] [Related]
18. Predicting pathological complete response by comparing MRI-based radiomics pre- and postneoadjuvant radiotherapy for locally advanced rectal cancer.
Li Y; Liu W; Pei Q; Zhao L; Güngör C; Zhu H; Song X; Li C; Zhou Z; Xu Y; Wang D; Tan F; Yang P; Pei H
Cancer Med; 2019 Dec; 8(17):7244-7252. PubMed ID: 31642204
[TBL] [Abstract][Full Text] [Related]
19. CEA - a predictor for pathologic complete response after neoadjuvant therapy for rectal cancer.
Wallin U; Rothenberger D; Lowry A; Luepker R; Mellgren A
Dis Colon Rectum; 2013 Jul; 56(7):859-68. PubMed ID: 23739192
[TBL] [Abstract][Full Text] [Related]
20. Predictive Factors for Pathologic Complete Response Following Neoadjuvant Chemoradiotherapy for Rectal Cancer.
Zhang Q; Liang J; Chen J; Mei S; Wang Z
Asian Pac J Cancer Prev; 2021 May; 22(5):1607-1611. PubMed ID: 34048192
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]
