442 related articles for article (PubMed ID: 37274803)
1. Radiomics in colorectal cancer patients.
Inchingolo R; Maino C; Cannella R; Vernuccio F; Cortese F; Dezio M; Pisani AR; Giandola T; Gatti M; Giannini V; Ippolito D; Faletti R
World J Gastroenterol; 2023 May; 29(19):2888-2904. PubMed ID: 37274803
[TBL] [Abstract][Full Text] [Related]
2. Radiomics for the Prediction of Treatment Outcome and Survival in Patients With Colorectal Cancer: A Systematic Review.
Staal FCR; van der Reijd DJ; Taghavi M; Lambregts DMJ; Beets-Tan RGH; Maas M
Clin Colorectal Cancer; 2021 Mar; 20(1):52-71. PubMed ID: 33349519
[TBL] [Abstract][Full Text] [Related]
3. Multi-modal radiomics model to predict treatment response to neoadjuvant chemotherapy for locally advanced rectal cancer.
Li ZY; Wang XD; Li M; Liu XJ; Ye Z; Song B; Yuan F; Yuan Y; Xia CC; Zhang X; Li Q
World J Gastroenterol; 2020 May; 26(19):2388-2402. PubMed ID: 32476800
[TBL] [Abstract][Full Text] [Related]
4. Artificial intelligence for pre-operative lymph node staging in colorectal cancer: a systematic review and meta-analysis.
Bedrikovetski S; Dudi-Venkata NN; Kroon HM; Seow W; Vather R; Carneiro G; Moore JW; Sammour T
BMC Cancer; 2021 Sep; 21(1):1058. PubMed ID: 34565338
[TBL] [Abstract][Full Text] [Related]
5. MRI radiomics signature to predict lymph node metastasis after neoadjuvant chemoradiation therapy in locally advanced rectal cancer.
Fang Z; Pu H; Chen XL; Yuan Y; Zhang F; Li H
Abdom Radiol (NY); 2023 Jul; 48(7):2270-2283. PubMed ID: 37085730
[TBL] [Abstract][Full Text] [Related]
6. MRI Radiomics Model Predicts Pathologic Complete Response of Rectal Cancer Following Chemoradiotherapy.
Shin J; Seo N; Baek SE; Son NH; Lim JS; Kim NK; Koom WS; Kim S
Radiology; 2022 May; 303(2):351-358. PubMed ID: 35133200
[TBL] [Abstract][Full Text] [Related]
7. Magnetic resonance imaging radiomics predicts preoperative axillary lymph node metastasis to support surgical decisions and is associated with tumor microenvironment in invasive breast cancer: A machine learning, multicenter study.
Yu Y; He Z; Ouyang J; Tan Y; Chen Y; Gu Y; Mao L; Ren W; Wang J; Lin L; Wu Z; Liu J; Ou Q; Hu Q; Li A; Chen K; Li C; Lu N; Li X; Su F; Liu Q; Xie C; Yao H
EBioMedicine; 2021 Jul; 69():103460. PubMed ID: 34233259
[TBL] [Abstract][Full Text] [Related]
8. More advantages in detecting bone and soft tissue metastases from prostate cancer using
Pianou NK; Stavrou PZ; Vlontzou E; Rondogianni P; Exarhos DN; Datseris IE
Hell J Nucl Med; 2019; 22(1):6-9. PubMed ID: 30843003
[TBL] [Abstract][Full Text] [Related]
9. Delta-radiomics signature predicts treatment outcomes after preoperative chemoradiotherapy and surgery in rectal cancer.
Jeon SH; Song C; Chie EK; Kim B; Kim YH; Chang W; Lee YJ; Chung JH; Chung JB; Lee KW; Kang SB; Kim JS
Radiat Oncol; 2019 Mar; 14(1):43. PubMed ID: 30866965
[TBL] [Abstract][Full Text] [Related]
10. Diagnosis of lymph node metastasis on rectal cancer by PET-CT computer imaging combined with MRI technology.
Li F; Hu J; Jiang H; Sun Y
J Infect Public Health; 2020 Sep; 13(9):1347-1353. PubMed ID: 31289005
[TBL] [Abstract][Full Text] [Related]
11. Combining positron emission tomography/computed tomography, radiomics, and sentinel lymph node mapping for nodal staging of endometrial cancer patients.
Crivellaro C; Landoni C; Elisei F; Buda A; Bonacina M; Grassi T; Monaco L; Giuliani D; Gotuzzo I; Magni S; Di Martino G; Delle Marchette M; Guerra L; Landoni F; Fruscio R; Messa C; De Bernardi E
Int J Gynecol Cancer; 2020 Mar; 30(3):378-382. PubMed ID: 32079712
[TBL] [Abstract][Full Text] [Related]
12. Radiomics analysis of multiparametric MRI for prediction of pathological complete response to neoadjuvant chemoradiotherapy in locally advanced rectal cancer.
Cui Y; Yang X; Shi Z; Yang Z; Du X; Zhao Z; Cheng X
Eur Radiol; 2019 Mar; 29(3):1211-1220. PubMed ID: 30128616
[TBL] [Abstract][Full Text] [Related]
13. 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]
14. Development and validation of a radiomics model based on T2WI images for preoperative prediction of microsatellite instability status in rectal cancer: Study Protocol Clinical Trial (SPIRIT Compliant).
Huang Z; Zhang W; He D; Cui X; Tian S; Yin H; Song B
Medicine (Baltimore); 2020 Mar; 99(10):e19428. PubMed ID: 32150094
[TBL] [Abstract][Full Text] [Related]
15. Prediction of outcome using pretreatment
Lucia F; Visvikis D; Desseroit MC; Miranda O; Malhaire JP; Robin P; Pradier O; Hatt M; Schick U
Eur J Nucl Med Mol Imaging; 2018 May; 45(5):768-786. PubMed ID: 29222685
[TBL] [Abstract][Full Text] [Related]
16. Radiomics systematic review in cervical cancer: gynecological oncologists' perspective.
Bizzarri N; Russo L; Dolciami M; Zormpas-Petridis K; Boldrini L; Querleu D; Ferrandina G; Pedone Anchora L; Gui B; Sala E; Scambia G
Int J Gynecol Cancer; 2023 Oct; 33(10):1522-1541. PubMed ID: 37714669
[TBL] [Abstract][Full Text] [Related]
17. Preoperative MR radiomics based on high-resolution T2-weighted images and amide proton transfer-weighted imaging for predicting lymph node metastasis in rectal adenocarcinoma.
Wei Q; Yuan W; Jia Z; Chen J; Li L; Yan Z; Liao Y; Mao L; Hu S; Liu X; Chen W
Abdom Radiol (NY); 2023 Feb; 48(2):458-470. PubMed ID: 36460837
[TBL] [Abstract][Full Text] [Related]
18. [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]
19. Adverse features on rectal MRI identify a high-risk group that may benefit from more intensive preoperative staging and treatment.
Hunter CJ; Garant A; Vuong T; Artho G; Lisbona R; Tekkis P; Abulafi M; Brown G
Ann Surg Oncol; 2012 Apr; 19(4):1199-205. PubMed ID: 21913017
[TBL] [Abstract][Full Text] [Related]
20. The potential predictive value of MRI and PET-CT in mucinous and nonmucinous rectal cancer to identify patients at high risk of metastatic disease.
Barbaro B; Leccisotti L; Vecchio FM; Di Matteo M; Serra T; Salsano M; Poscia A; Coco C; Persiani R; Alfieri S; Gambacorta MA; Valentini V; Giordano A; Bonomo L
Br J Radiol; 2017 Jan; 90(1069):20150836. PubMed ID: 27845566
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]