Validated Pretreatment Prediction Models for Response to Neoadjuvant Therapy in Patients with Rectal Cancer: A Systematic Review and Critical Appraisal.
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| Title: | Validated Pretreatment Prediction Models for Response to Neoadjuvant Therapy in Patients with Rectal Cancer: A Systematic Review and Critical Appraisal. |
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| Authors: | Tanaka MD; Department of Radiation Oncology, The Netherlands Cancer Institute, 1066 CX Amsterdam, The Netherlands., Geubels BM; Department of Surgery, The Netherlands Cancer Institute, 1066 CX Amsterdam, The Netherlands.; Department of Surgery, Catharina Hospital, 5602 ZA Eindhoven, The Netherlands.; GROW School for Oncology and Reproduction, Maastricht University, 6200 MD Maastricht, The Netherlands., Grotenhuis BA; Department of Surgery, The Netherlands Cancer Institute, 1066 CX Amsterdam, The Netherlands., Marijnen CAM; Department of Radiation Oncology, The Netherlands Cancer Institute, 1066 CX Amsterdam, The Netherlands.; Department of Radiation Oncology, Leiden University Medical Centre, 2333 ZA Leiden, The Netherlands., Peters FP; Department of Radiation Oncology, The Netherlands Cancer Institute, 1066 CX Amsterdam, The Netherlands., van der Mierden S; Scientific Information Service, The Netherlands Cancer Institute, 1066 CX Amsterdam, The Netherlands., Maas M; GROW School for Oncology and Reproduction, Maastricht University, 6200 MD Maastricht, The Netherlands.; Department of Radiology, The Netherlands Cancer Institute, 1066 CX Amsterdam, The Netherlands., Couwenberg AM; Department of Radiation Oncology, The Netherlands Cancer Institute, 1066 CX Amsterdam, The Netherlands. |
| Source: | Cancers [Cancers (Basel)] 2023 Aug 03; Vol. 15 (15). Date of Electronic Publication: 2023 Aug 03. |
| Publication Type: | Journal Article; Review |
| Journal Info: | Publisher: MDPI Country of Publication: Switzerland NLM ID: 101526829 Publication Model: Electronic Cited Medium: Print ISSN: 2072-6694 (Print) Linking ISSN: 20726694 NLM ISO Abbreviation: Cancers (Basel) Subsets: PubMed not MEDLINE |
| Database: | MEDLINE Ultimate |
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| ISSN: | 2072-6694 |
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| DOI: | 10.3390/cancers15153945 |
