These tools will no longer be maintained as of December 31, 2024. Archived website can be found here. PubMed4Hh GitHub repository can be found here. Contact NLM Customer Service if you have questions.
220 related articles for article (PubMed ID: 37236811)
21. 18F-FDG PET/CT and whole-body MRI diagnostic performance in M staging for non-small cell lung cancer: a systematic review and meta-analysis. Machado Medeiros T; Altmayer S; Watte G; Zanon M; Basso Dias A; Henz Concatto N; Hoefel Paes J; Mattiello R; de Souza Santos F; Mohammed TL; Verma N; Hochhegger B Eur Radiol; 2020 Jul; 30(7):3641-3649. PubMed ID: 32125513 [TBL] [Abstract][Full Text] [Related]
22. Metabolic parameters of sequential 18F-FDG PET/CT predict overall survival of esophageal cancer patients treated with (chemo-) radiation. Li Y; Zschaeck S; Lin Q; Chen S; Chen L; Wu H Radiat Oncol; 2019 Feb; 14(1):35. PubMed ID: 30782182 [TBL] [Abstract][Full Text] [Related]
23. FDG-PET/CT and MRI for Evaluation of Pathologic Response to Neoadjuvant Chemotherapy in Patients With Breast Cancer: A Meta-Analysis of Diagnostic Accuracy Studies. Sheikhbahaei S; Trahan TJ; Xiao J; Taghipour M; Mena E; Connolly RM; Subramaniam RM Oncologist; 2016 Aug; 21(8):931-9. PubMed ID: 27401897 [TBL] [Abstract][Full Text] [Related]
24. Prognostic values of mid-radiotherapy Kim N; Cho H; Yun M; Park KR; Lee CG Radiat Oncol; 2019 Feb; 14(1):27. PubMed ID: 30717809 [TBL] [Abstract][Full Text] [Related]
26. Role of Radiomics in the Prediction of Muscle-invasive Bladder Cancer: A Systematic Review and Meta-analysis. Kozikowski M; Suarez-Ibarrola R; Osiecki R; Bilski K; Gratzke C; Shariat SF; Miernik A; Dobruch J Eur Urol Focus; 2022 May; 8(3):728-738. PubMed ID: 34099417 [TBL] [Abstract][Full Text] [Related]
27. The "digital biopsy" in non-small cell lung cancer (NSCLC): a pilot study to predict the PD-L1 status from radiomics features of [18F]FDG PET/CT. Monaco L; De Bernardi E; Bono F; Cortinovis D; Crivellaro C; Elisei F; L'Imperio V; Landoni C; Mathoux G; Musarra M; Pagni F; Turolla EA; Messa C; Guerra L Eur J Nucl Med Mol Imaging; 2022 Aug; 49(10):3401-3411. PubMed ID: 35403860 [TBL] [Abstract][Full Text] [Related]
28. 18F-FDG PET and 18F-FDG PET/CT in Vulvar Cancer: A Systematic Review and Meta-analysis. Triumbari EKA; de Koster EJ; Rufini V; Fragomeni SM; Garganese G; Collarino A Clin Nucl Med; 2021 Feb; 46(2):125-132. PubMed ID: 33234921 [TBL] [Abstract][Full Text] [Related]
29. The predictive value of 18F-FDG PET for pathological response of primary tumor in patients with esophageal cancer during or after neoadjuvant chemoradiotherapy: a meta-analysis. Cong L; Wang S; Gao T; Hu L Jpn J Clin Oncol; 2016 Dec; 46(12):1118-1126. PubMed ID: 27702836 [TBL] [Abstract][Full Text] [Related]
30. Combined 18 F-FDG PET/CT Radiomics and Sarcopenia Score in Predicting Relapse-Free Survival and Overall Survival in Patients With Esophagogastric Cancer. Anconina R; Ortega C; Metser U; Liu ZA; Elimova E; Allen M; Darling GE; Wong R; Taylor K; Yeung J; Chen EX; Swallow CJ; Jang RW; Veit-Haibach P Clin Nucl Med; 2022 Aug; 47(8):684-691. PubMed ID: 35543637 [TBL] [Abstract][Full Text] [Related]
31. Radiomics analysis for the differentiation of autoimmune pancreatitis and pancreatic ductal adenocarcinoma in Zhang Y; Cheng C; Liu Z; Wang L; Pan G; Sun G; Chang Y; Zuo C; Yang X Med Phys; 2019 Oct; 46(10):4520-4530. PubMed ID: 31348535 [TBL] [Abstract][Full Text] [Related]
32. Clinical application of Nakajo M; Jinguji M; Ito S; Tani A; Hirahara M; Yoshiura T Jpn J Radiol; 2024 Jan; 42(1):28-55. PubMed ID: 37526865 [TBL] [Abstract][Full Text] [Related]
33. A different perspective on Vural Topuz Ö; Aksu A; Yılmaz Özgüven MB Rev Esp Med Nucl Imagen Mol (Engl Ed); 2023; 42(6):359-366. PubMed ID: 37088299 [TBL] [Abstract][Full Text] [Related]
34. The gap before real clinical application of imaging-based machine-learning and radiomic models for chemoradiation outcome prediction in esophageal cancer: a systematic review and meta-analysis. Yang Z; Gong J; Li J; Sun H; Pan Y; Zhao L Int J Surg; 2023 Aug; 109(8):2451-2466. PubMed ID: 37463039 [TBL] [Abstract][Full Text] [Related]
35. Value of pre-therapy Zhang J; Zhao X; Zhao Y; Zhang J; Zhang Z; Wang J; Wang Y; Dai M; Han J Eur J Nucl Med Mol Imaging; 2020 May; 47(5):1137-1146. PubMed ID: 31728587 [TBL] [Abstract][Full Text] [Related]
36. Performance of F-18 FDG PET/CT for predicting malignant potential of gastrointestinal stromal tumors: A systematic review and meta-analysis. Kim SJ; Lee SW J Gastroenterol Hepatol; 2018 Mar; 33(3):576-582. PubMed ID: 28994187 [TBL] [Abstract][Full Text] [Related]
37. Prediction of tumor response to neoadjuvant therapy in patients with esophageal cancer with use of 18F FDG PET: a systematic review. Kwee RM Radiology; 2010 Mar; 254(3):707-17. PubMed ID: 20177086 [TBL] [Abstract][Full Text] [Related]
38. Diagnostic Performance of Artificial Intelligence-Centred Systems in the Diagnosis and Postoperative Surveillance of Upper Gastrointestinal Malignancies Using Computed Tomography Imaging: A Systematic Review and Meta-Analysis of Diagnostic Accuracy. Chidambaram S; Sounderajah V; Maynard N; Markar SR Ann Surg Oncol; 2022 Mar; 29(3):1977-1990. PubMed ID: 34762214 [TBL] [Abstract][Full Text] [Related]