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Wang J, de Groot EM, Wu Z, Verhoeven RHA, Haj Mohammad N, Mook S, Goense L, Markar SR, Ruurda JP, van Hillegersberg R. Evaluation of Treatment Strategies and Survival of Patients with cT4bM0 Esophageal Cancer: A Nationwide Cohort Study. Dig Surg 2024:1-10. [PMID: 39154642 DOI: 10.1159/000540214] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/08/2023] [Accepted: 06/18/2024] [Indexed: 08/20/2024]
Abstract
INTRODUCTION The optimal therapeutic strategy for patients with cT4bM0 esophageal cancer is controversial and varies internationally. This study aimed to describe treatment and survival of patients with cT4bM0 esophageal cancer in the Netherlands. METHODS Patients staged with cT4bM0 esophageal cancer who were registered in the Netherlands Cancer Registry (NCR) were included. All patients were categorized by the treatment modality received. The Kaplan-Meier method was used to estimate the overall survival of them. RESULTS Between 2015 and 2020, 286 patients with cT4bM0 esophageal cancer were included. Treatment consisted of preoperative chemoradiotherapy/chemotherapy followed by surgery (8%), chemoradiotherapy alone (35%), chemotherapy alone (6%), radiotherapy alone (19%), and best supportive care (32%). The median follow-up was 28.1 months. The 1-, 3-, and 5-year survival rates of each group were 82%, 58%, 49% for preoperative therapy plus surgery; 53%, 27%, 16% for chemoradiotherapy only; 13%, 0%, 0% for chemotherapy only; 13%, 0%, 0% for radiotherapy only; and 5%, 0%, 0% for best supportive care. CONCLUSION In a selected group of patients, preoperative therapy followed by esophagectomy may lead to improved survival, which is comparable to patients with <cT4bM0 tumors. Therefore, reevaluation following chemo(radio)therapy is recommended in these patients to evaluate the possibility of additional surgical resection.
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Affiliation(s)
- Jingpu Wang
- Department of Surgery, University Medical Center Utrecht, Utrecht, The Netherlands,
| | - Eline M de Groot
- Department of Surgery, University Medical Center Utrecht, Utrecht, The Netherlands
| | - Zhouqiao Wu
- Key Laboratory of Carcinogenesis and Translational Research (Ministry of Education), Department of Gastrointestinal Surgery, Peking University Cancer Hospital and Institute, Beijing, China
| | - Rob H A Verhoeven
- Netherlands Comprehensive Cancer Organisation (IKNL), Department of Research & Development, Utrecht, The Netherlands
- Amsterdam UMC Location University of Amsterdam, Medical Oncology, Amsterdam, The Netherlands
- Cancer Center Amsterdam, Cancer Treatment and Quality of Life, Amsterdam, The Netherlands
| | - Nadia Haj Mohammad
- Department of Clinical Oncology, University Medical Center Utrecht, Utrecht, The Netherlands
| | - Stella Mook
- Departments of Radiation Oncology, University Medical Center Utrecht, Utrecht, The Netherlands
| | - Lucas Goense
- Department of Surgery, University Medical Center Utrecht, Utrecht, The Netherlands
| | - Sheraz R Markar
- Nuffield Department of Surgery, University of Oxford, Oxford, UK
| | - Jelle P Ruurda
- Department of Surgery, University Medical Center Utrecht, Utrecht, The Netherlands
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2
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Fiorino C, Palumbo D, Mori M, Palazzo G, Pellegrini AE, Albarello L, Belardo A, Canevari C, Cossu A, Damascelli A, Elmore U, Mazza E, Pavarini M, Passoni P, Puccetti F, Slim N, Steidler S, Del Vecchio A, Di Muzio NG, Chiti A, Rosati R, De Cobelli F. Early regression index (ERI) on MR images as response predictor in esophageal cancer treated with neoadjuvant chemo-radiotherapy: Interim analysis of the prospective ESCAPE trial. Radiother Oncol 2024; 194:110160. [PMID: 38369025 DOI: 10.1016/j.radonc.2024.110160] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/07/2023] [Revised: 02/05/2024] [Accepted: 02/13/2024] [Indexed: 02/20/2024]
Abstract
PURPOSE The early regression index (ERI) predicts treatment response in rectal cancer patients. Aim of current study was to prospectively assess tumor response to neoadjuvant chemo-radiotherapy (nCRT) of locally advanced esophageal cancer using ERI, based on MRI. MATERIAL AND METHODS From January 2020 to May 2023, 30 patients with esophageal cancer were enrolled in a prospective study (ESCAPE). PET-MRI was performed: i) before nCRT (tpre); ii) at mid-radiotherapy, tmid; iii) after nCRT, 2-6 weeks before surgery (tpost); nCRT delivered 41.4 Gy/23fr with concurrent carboplatin and paclitaxel. For patients that skipped surgery, complete clinical response (cCR) was assessed if patients showed no local relapse after 18 months; patients with pathological complete response (pCR) or with cCR were considered as complete responders (pCR + cCR). GTV volumes were delineated by two observers (Vpre, Vmid, Vpost) on T2w MRI: ERI and other volume regression parameters at tmid and tpost were tested as predictors of pCR + cCR. RESULTS Complete data of 25 patients were available at the time of the analysis: 3/25 with complete response at imaging refused surgery and 2/3 were cCR; in total, 10/25 patients showed pCR + cCR (pCR = 8/22). Both ERImid and ERIpost classified pCR + cCR patients, with ERImid showing better performance (AUC:0.78, p = 0.014): A two-variable logistic model combining ERImid and Vpre improved performances (AUC:0.93, p < 0.0001). Inter-observer variability in contouring GTV did not affect the results. CONCLUSIONS Despite the limited numbers, interim analysis of ESCAPE study suggests ERI as a potential predictor of complete response after nCRT for esophageal cancer. Further validation on larger populations is warranted.
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Affiliation(s)
- C Fiorino
- Medical Physics, IRCCS San Raffaele Hospital, Milano, Italy.
| | - D Palumbo
- Radiology, IRCCS San Raffaele Hospital, Milano, Italy
| | - M Mori
- Medical Physics, IRCCS San Raffaele Hospital, Milano, Italy
| | - G Palazzo
- Medical Physics, IRCCS San Raffaele Hospital, Milano, Italy
| | | | - L Albarello
- Pathology, IRCCS San Raffaele Hospital, Milano, Italy
| | - A Belardo
- Medical Physics, IRCCS San Raffaele Hospital, Milano, Italy
| | - C Canevari
- Nuclear Medicine, IRCCS San Raffaele Hospital, Milano, Italy
| | - A Cossu
- Gastric Surgery, IRCCS San Raffaele Hospital, Milano, Italy
| | - A Damascelli
- Radiology, IRCCS San Raffaele Hospital, Milano, Italy
| | - U Elmore
- Gastric Surgery, IRCCS San Raffaele Hospital, Milano, Italy
| | - E Mazza
- Oncology, IRCCS San Raffaele Hospital, Milano, Italy
| | - M Pavarini
- Medical Physics, IRCCS San Raffaele Hospital, Milano, Italy
| | - P Passoni
- Radiotherapy, IRCCS San Raffaele Hospital, Milano, Italy
| | - F Puccetti
- Gastric Surgery, IRCCS San Raffaele Hospital, Milano, Italy
| | - N Slim
- Radiotherapy, IRCCS San Raffaele Hospital, Milano, Italy
| | - S Steidler
- Radiology, IRCCS San Raffaele Hospital, Milano, Italy
| | - A Del Vecchio
- Medical Physics, IRCCS San Raffaele Hospital, Milano, Italy
| | - N G Di Muzio
- Radiotherapy, IRCCS San Raffaele Hospital, Milano, Italy; Vita-Salute University, Milano, Italy
| | - A Chiti
- Nuclear Medicine, IRCCS San Raffaele Hospital, Milano, Italy; Vita-Salute University, Milano, Italy
| | - R Rosati
- Gastric Surgery, IRCCS San Raffaele Hospital, Milano, Italy; Vita-Salute University, Milano, Italy
| | - F De Cobelli
- Radiology, IRCCS San Raffaele Hospital, Milano, Italy; Vita-Salute University, Milano, Italy
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Okazumi S, Ohira G, Hayano K, Aoyagi T, Imanishi S, Matsubara H. Novel Advances in Qualitative Diagnostic Imaging for Decision Making in Multidisciplinary Treatment for Advanced Esophageal Cancer. J Clin Med 2024; 13:632. [PMID: 38276137 PMCID: PMC10816440 DOI: 10.3390/jcm13020632] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/06/2023] [Revised: 01/18/2024] [Accepted: 01/18/2024] [Indexed: 01/27/2024] Open
Abstract
Background: Recently, neoadjuvant therapy and the succeeding surgery for advanced esophageal cancer have been evaluated. In particular, the response to the therapy has been found to affect surgical outcomes, and thus a precise evaluation of treatment effect is important for this strategy. In this study, articles on qualitative diagnostic modalities to evaluate tumor activities were reviewed, and the diagnostic indices were examined. Methods: For prediction of the effect, perfusion CT and diffusion MRI were estimated. For the histological response evaluation, perfusion CT, diffusion-MRI, and FDG-PET were estimated. For downstaging evaluation of T4, tissue-selective image reconstruction using enhanced CT was estimated and diagnostic indices were reviewed. Results: The prediction of the effect using perfusion CT with 'pre CRT blood flow' and diffusion MRI with 'pre CRT ADC value'; the estimation of the histological response using perfusion CT with 'post CRT blood flow reduction, using diffusion MRI with 'post CRT ADC increasing', and using FDG-PET with 'post CRT SUV reduction'; and the downstaging evaluation of T4 using CT image reconstruction with 'fibrous changed layer' were performed well, respectively. Conclusions: Qualitative imaging modalities for prediction or response evaluation of neoadjuvant therapy for progressive esophageal cancer were useful for the decision making of the treatment strategy of the multidisciplinary treatment.
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Affiliation(s)
- Shinichi Okazumi
- Department of Surgery, Toho University Sakura Medical Center, Chiba 285-8741, Japan;
| | - Gaku Ohira
- Frontier Surgery, Graduate School of Medicine, Chiba University, Chiba 260-8670, Japan; (K.H.); (H.M.)
| | - Koichi Hayano
- Frontier Surgery, Graduate School of Medicine, Chiba University, Chiba 260-8670, Japan; (K.H.); (H.M.)
| | - Tomoyoshi Aoyagi
- Frontier Surgery, Graduate School of Medicine, Chiba University, Chiba 260-8670, Japan; (K.H.); (H.M.)
| | - Shunsuke Imanishi
- Frontier Surgery, Graduate School of Medicine, Chiba University, Chiba 260-8670, Japan; (K.H.); (H.M.)
| | - Hisahiro Matsubara
- Frontier Surgery, Graduate School of Medicine, Chiba University, Chiba 260-8670, Japan; (K.H.); (H.M.)
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Zhang M, Lu Y, Sun H, Hou C, Zhou Z, Liu X, Zhou Q, Li Z, Yin Y. CT-based deep learning radiomics and hematological biomarkers in the assessment of pathological complete response to neoadjuvant chemoradiotherapy in patients with esophageal squamous cell carcinoma: A two-center study. Transl Oncol 2024; 39:101804. [PMID: 37839176 PMCID: PMC10587766 DOI: 10.1016/j.tranon.2023.101804] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/12/2023] [Revised: 09/11/2023] [Accepted: 10/09/2023] [Indexed: 10/17/2023] Open
Abstract
PURPOSE To evaluate and validate CT-based models using pre- and posttreatment deep learning radiomics features and hematological biomarkers for assessing esophageal squamous cell carcinoma (ESCC) pathological complete response (pCR) after neoadjuvant chemoradiotherapy (nCRT). MATERIAL AND METHODS This retrospective study recruited patients with biopsy-proven ESCC who underwent nCRT from two Chinese hospitals between May 2017 and May 2022, divided into a training set (hospital I, 111 cases), an internal validation set (hospital I, 47 cases), and an external validation set (hospital II, 33 cases). We used minimum redundancy maximum relevance (mRMR) and least absolute shrinkage and selection operator (LASSO) as feature selection methods and three classifiers as model construction methods. The assessment of models was performed using area under the receiver operating characteristic (ROC) curve (AUC) and decision curve analysis (DCA). RESULTS A total 190 patients were included in our study (60.8 ± 7.08 years, 133 men), and seventy-seven of them (40.5 %) achieved pCR. The logistic regression (LR)-based combined model incorporating neutrophil to lymphocyte ratio, lymphocyte to monocyte ratio, albumin, and radscores performed well both in the internal and external validation sets with AUCs of 0.875 and 0.857 (95 % CI, 0.776-0.964; 0.731-0.984, P <0.05), respectively. DCA demonstrated that nomogram was useful for pCR prediction and produced clinical net benefits. CONCLUSION The incorporation of radscores and hematological biomarkers into LR-based model improved pCR prediction after nCRT in ESCC. Enhanced pCR predictability may improve patients selection before surgery, providing clinical application value for the use of active surveillance.
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Affiliation(s)
- Meng Zhang
- Shandong University Cancer Center, Shandong University, Jinan, Shandong, China; Department of Radiation Oncology Physics and Technology, Shandong Cancer Hospital and Institute, Shandong First Medical University and Shandong Academy of Medical Sciences, Jinan, Shandong, China
| | - Yukun Lu
- Department of Radiation Oncology, Anyang Tumor Hospital, Anyang, Henan, China
| | - Hongfu Sun
- Department of Radiation Oncology, Shandong Cancer Hospital and Institute, Shandong First Medical University and Shandong Academy of Medical Sciences, Jinan, Shandong, China
| | - Chuanke Hou
- Department of Radiology, Beijing YouAn Hospital, Capital Medical University, Beijing, China
| | - Zichun Zhou
- School of Mechanical, Electrical and Information Engineering, Shandong University, Weihai, Shandong, China
| | - Xiao Liu
- Manteia Technologies Co., Ltd, Xiamen, Fujian, China
| | - Qichao Zhou
- Manteia Technologies Co., Ltd, Xiamen, Fujian, China
| | - Zhenjiang Li
- Department of Radiation Oncology Physics and Technology, Shandong Cancer Hospital and Institute, Shandong First Medical University and Shandong Academy of Medical Sciences, Jinan, Shandong, China.
| | - Yong Yin
- Shandong University Cancer Center, Shandong University, Jinan, Shandong, China; Department of Radiation Oncology Physics and Technology, Shandong Cancer Hospital and Institute, Shandong First Medical University and Shandong Academy of Medical Sciences, Jinan, Shandong, China.
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5
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den Boer R, Siang KNW, Yuen M, Borggreve A, Defize I, van Lier A, Ruurda J, van Hillegersberg R, Mook S, Meijer G. A robust semi-automatic delineation workflow using denoised diffusion weighted magnetic resonance imaging for response assessment of patients with esophageal cancer treated with neoadjuvant chemoradiotherapy. Phys Imaging Radiat Oncol 2023; 28:100489. [PMID: 37822533 PMCID: PMC10562188 DOI: 10.1016/j.phro.2023.100489] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/21/2023] [Revised: 08/24/2023] [Accepted: 08/25/2023] [Indexed: 10/13/2023] Open
Abstract
Background and Purpose Diffusion weighted magnetic resonance imaging (DW-MRI) can be prognostic for response to neoadjuvant chemotherapy (nCRT) in patients with esophageal cancer. However, manual tumor delineation is labor intensive and subjective. Furthermore, noise in DW-MRI images will propagate into the corresponding apparent diffusion coefficient (ADC) signal. In this study a workflow is investigated that combines a denoising algorithm with semi-automatic segmentation for quantifying ADC changes. Materials and Methods Twenty patients with esophageal cancer who underwent nCRT before esophagectomy were included. One baseline and five weekly DW-MRI scans were acquired for every patient during nCRT. A self-supervised learning denoising algorithm, Patch2Self, was used to denoise the DWI-MRI images. A semi-automatic delineation workflow (SADW) was next developed and compared with a manually adjusted workflow (MAW). The agreement between workflows was determined using the Dice coefficients and Brand Altman plots. The prognostic value of ADCmean increases (%/week) for pathologic complete response (pCR) was assessed using c-statistics. Results The median Dice coefficient between the SADW and MAW was 0.64 (interquartile range 0.20). For the MAW, the c-statistic for predicting pCR was 0.80 (95% confidence interval (CI):0.56-1.00). The SADW showed a c-statistic of 0.84 (95%CI:0.63-1.00) after denoising. No statistically significant differences in c-statistics were observed between the workflows or after applying denoising. Conclusions The SADW resulted in non-inferior prognostic value for pCR compared to the more laborious MAW, allowing broad scale applications. The effect of denoising on the prognostic value for pCR needs to be investigated in larger cohorts.
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Affiliation(s)
- Robin den Boer
- University Medical Center Utrecht, Department of Radiation Oncology, Utrecht, The Netherlands
| | - Kelvin Ng Wei Siang
- Erasmus MC Cancer Institute, University Medical Center Rotterdam, Department of Radiotherapy, Rotterdam, The Netherlands
- Holland Proton Therapy Center, Department of Medical Physics & Informatics, Delft, The Netherlands
| | - Mandy Yuen
- University Medical Center Utrecht, Department of Radiation Oncology, Utrecht, The Netherlands
| | - Alicia Borggreve
- University Medical Center Utrecht, Department of Radiation Oncology, Utrecht, The Netherlands
| | - Ingmar Defize
- University Medical Center Utrecht, Department of Radiation Oncology, Utrecht, The Netherlands
| | - Astrid van Lier
- University Medical Center Utrecht, Department of Radiation Oncology, Utrecht, The Netherlands
| | - Jelle Ruurda
- University Medical Center Utrecht, Department of Surgery, Utrecht, The Netherlands
| | | | - Stella Mook
- University Medical Center Utrecht, Department of Radiation Oncology, Utrecht, The Netherlands
| | - Gert Meijer
- University Medical Center Utrecht, Department of Radiation Oncology, Utrecht, The Netherlands
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6
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Mori M, Palumbo D, De Cobelli F, Fiorino C. Does radiomics play a role in the diagnosis, staging and re-staging of gastroesophageal junction adenocarcinoma? Updates Surg 2023; 75:273-279. [PMID: 36114920 DOI: 10.1007/s13304-022-01377-4] [Citation(s) in RCA: 5] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/01/2022] [Accepted: 09/04/2022] [Indexed: 01/24/2023]
Abstract
Radiomics is an emerging field of investigation in medicine consisting in the extraction of quantitative features from conventional medical images and exploring their potentials in improving diagnosis, prognosis and outcome prediction after therapy. Clinical applications are still limited, mostly due to reproducibility and repeatability issues as well as to limited interpretability of predictive radiomic-based features/signatures. In the specific case of gastroesophageal junction (GEJ) adenocarcinoma, the expectancies are particularly high, mainly due to its increasing incidence and to the limited performance of conventional imaging techniques in assessing correct diagnosis and accurate pre-surgical tumor characterization. Accordingly, current literature was reviewed, emphasizing the methodological quality. In addition, papers were scored according to the Radiomic Quality Score (RQS), weighting more the clinical applicability and generalizability of the resulting models. According to the criteria of the search, only two papers were retained: the resulting technical quality was relatively high for both, while the corresponding RQS were 15 and 19 (on a scale of 31). Although the potentials of radiomics in the setting of GEJ adenocarcinoma are relevant, they remain largely unexplored, warranting an urgent need of high-quality, possibly prospective, multicenter studies.
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Affiliation(s)
- Martina Mori
- School of Medicine, Vita-Salute San Raffaele University, Milan, Italy.,Medical Physics, IRCCS San Raffaele Scientific Institute, Milan, Italy
| | - Diego Palumbo
- Department of Radiology, San Raffaele Scientific Institute, Milan, Italy.,School of Medicine, Vita-Salute San Raffaele University, Milan, Italy
| | - Francesco De Cobelli
- Department of Radiology, San Raffaele Scientific Institute, Milan, Italy.,School of Medicine, Vita-Salute San Raffaele University, Milan, Italy
| | - Claudio Fiorino
- School of Medicine, Vita-Salute San Raffaele University, Milan, Italy. .,Medical Physics, IRCCS San Raffaele Scientific Institute, Milan, Italy.
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7
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Theeuwen H, Atay SM. The role of surveillance and salvage esophagectomy in previously treated esophageal cancer. J Surg Oncol 2023; 127:233-238. [PMID: 36630103 DOI: 10.1002/jso.27182] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/16/2022] [Revised: 12/07/2022] [Accepted: 12/09/2022] [Indexed: 01/12/2023]
Abstract
Esophageal cancer remains a significant cause of cancer-related mortality among men and women in the United States. The utility of surgery, as either an immediate or delayed resection in the form of esophagectomy following neoadjuvant therapy in local-regionally advanced esophageal cancer, remains controversial. While neoadjuvant therapy followed by immediate surgery is a guideline-concordant treatment, emerging data suggests that active surveillance with delayed resection at the time of local-regional recurrence may be considered.
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Affiliation(s)
- Hailey Theeuwen
- Department of Surgery, University of Southern California Keck School of Medicine, Los Angeles, California, USA
| | - Scott M Atay
- Division of Thoracic Surgery, Department of Surgery, University of Southern California Keck School of Medicine, Los Angeles, California, USA
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8
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Guo H, Tang HT, Hu WL, Wang JJ, Liu PZ, Yang JJ, Hou SL, Zuo YJ, Deng ZQ, Zheng XY, Yan HJ, Jiang KY, Huang H, Zhou HN, Tian D. The application of radiomics in esophageal cancer: Predicting the response after neoadjuvant therapy. Front Oncol 2023; 13:1082960. [PMID: 37091180 PMCID: PMC10117779 DOI: 10.3389/fonc.2023.1082960] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/01/2022] [Accepted: 03/27/2023] [Indexed: 04/25/2023] Open
Abstract
Esophageal cancer (EC) is one of the fatal malignant neoplasms worldwide. Neoadjuvant therapy (NAT) combined with surgery has become the standard treatment for locally advanced EC. However, the treatment efficacy for patients with EC who received NAT varies from patient to patient. Currently, the evaluation of efficacy after NAT for EC lacks accurate and uniform criteria. Radiomics is a multi-parameter quantitative approach for developing medical imaging in the era of precision medicine and has provided a novel view of medical images. As a non-invasive image analysis method, radiomics is an inevitable trend in NAT efficacy prediction and prognosis classification of EC by analyzing the high-throughput imaging features of lesions extracted from medical images. In this literature review, we discuss the definition and workflow of radiomics, the advances in efficacy prediction after NAT, and the current application of radiomics for predicting efficacy after NAT.
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Affiliation(s)
- Hai Guo
- Department of Thoracic Surgery, West China Hospital, Sichuan University, Chengdu, China
- Department of Thoracic Surgery, Sichuan Tianfu New Area People’s Hospital, Chengdu, China
| | - Hong-Tao Tang
- College of Clinical Medicine, North Sichuan Medical College, Nanchong, China
| | - Wen-Long Hu
- College of Clinical Medicine, North Sichuan Medical College, Nanchong, China
| | - Jun-Jie Wang
- College of Clinical Medicine, North Sichuan Medical College, Nanchong, China
| | - Pei-Zhi Liu
- College of Clinical Medicine, North Sichuan Medical College, Nanchong, China
| | - Jun-Jie Yang
- College of Clinical Medicine, North Sichuan Medical College, Nanchong, China
| | - Sen-Lin Hou
- College of Clinical Medicine, North Sichuan Medical College, Nanchong, China
| | - Yu-Jie Zuo
- College of Clinical Medicine, North Sichuan Medical College, Nanchong, China
| | - Zhi-Qiang Deng
- College of Medical Imaging, North Sichuan Medical College, Nanchong, China
| | - Xiang-Yun Zheng
- College of Clinical Medicine, North Sichuan Medical College, Nanchong, China
| | - Hao-Ji Yan
- Department of General Thoracic Surgery, Juntendo University School of Medicine, Tokyo, Japan
| | - Kai-Yuan Jiang
- Department of Surgery, Tohoku University Graduate School of Medicine, Sendai, Japan
| | - Heng Huang
- Department of Thoracic Surgery, West China Hospital, Sichuan University, Chengdu, China
| | - Hai-Ning Zhou
- Department of Thoracic Surgery, Suining Central Hospital, Suining, China
- *Correspondence: Dong Tian, ; Hai-Ning Zhou,
| | - Dong Tian
- Department of Thoracic Surgery, West China Hospital, Sichuan University, Chengdu, China
- *Correspondence: Dong Tian, ; Hai-Ning Zhou,
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9
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Utility of PET Scans in the Diagnosis and Management of Gastrointestinal Tumors. Dig Dis Sci 2022; 67:4633-4653. [PMID: 35908126 DOI: 10.1007/s10620-022-07616-3] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Accepted: 05/27/2022] [Indexed: 12/14/2022]
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10
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Withey SJ, Goh V, Foley KG. State-of-the-art imaging in oesophago-gastric cancer. Br J Radiol 2022; 95:20220410. [PMID: 35671095 PMCID: PMC10996959 DOI: 10.1259/bjr.20220410] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/10/2022] [Revised: 06/01/2022] [Accepted: 06/06/2022] [Indexed: 11/05/2022] Open
Abstract
Radiological investigations are essential in the management of oesophageal and gastro-oesophageal junction cancers. The current multimodal combination of CT, 18F-fluorodeoxyglucose positron emission tomography combined with CT (PET/CT) and endoscopic ultrasound (EUS) has limitations, which hinders the prognostic and predictive information that can be used to guide optimum treatment decisions. Therefore, the development of improved imaging techniques is vital to improve patient management. This review describes the current evidence for state-of-the-art imaging techniques in oesophago-gastric cancer including high resolution MRI, diffusion-weighted MRI, dynamic contrast-enhanced MRI, whole-body MRI, perfusion CT, novel PET tracers, and integrated PET/MRI. These novel imaging techniques may help clinicians improve the diagnosis, staging, treatment planning, and response assessment of oesophago-gastric cancer.
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Affiliation(s)
- Samuel J Withey
- Department of Radiology, The Royal Marsden NHS Foundation
Trust, London,
UK
| | - Vicky Goh
- Cancer Imaging, School of Biomedical Engineering & Imaging
Sciences, King’s College London,
London, UK
- Department of Radiology, Guy’s and St Thomas’ NHS
Foundation Trust, London,
UK
| | - Kieran G Foley
- Division of Cancer & Genetics, School of Medicine, Cardiff
University, Wales,
UK
- Department of Radiology, Velindre Cancer Centre,
Cardiff, UK
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11
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Quantitative RECIST derived from multiparametric MRI in evaluating response of esophageal squamous cell carcinoma to neoadjuvant therapy. Eur Radiol 2022; 32:7295-7306. [PMID: 36048205 DOI: 10.1007/s00330-022-09111-9] [Citation(s) in RCA: 8] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/03/2022] [Revised: 08/04/2022] [Accepted: 08/10/2022] [Indexed: 11/04/2022]
Abstract
OBJECTIVE To develop a quantitative Response Evaluation Criteria in Solid Tumors (qRECIST) for evaluating response to neoadjuvant therapy (nT) in ESCCs relying on multiparametric (mp) MRI. METHODS Patients with cT2-T4a/N0-N3/M0 ESCC undergoing pre-nT and post-nT esophageal mpMRI before radical resection were prospectively included. Images were reviewed by two experienced radiologists. qRECIST was redefined using four methods including conventional criterion (cRECIST) and three model-dependent RECIST relying on quantitative MRI measurements at pre-nT, post-nT, and delta pre-post nT, respectively. Pathological tumor regression grades (TRGs) were used as a reference standard. The rates of agreement between four qRECIST methods and TRGs were determined with a Cronbach's alpha test, area under the curve (AUC), and a diagnostic odds ratio meta-analysis. RESULTS Ninety-one patients were enrolled. All four methods revealed high inter-reader agreements between the two radiologists, with a Kappa coefficient of 0.96, 0.87, 0.88, and 0.97 for cRECIST, pre-nT RECIST, post-nT RECIST, and delta RECIST, respectively. Among them, delta RECIST achieved the highest overall agreement rate (67.0% [61/91]) with TRGs, followed by post-nT RECIST (63.8% [58/91]), cRECIST (61.5% [56/91]), and pre-nT RECIST (36.3% [33/91]). Especially, delta RECIST achieved the highest accuracy (97.8% [89/91]) in distinguishing responders from non-responders, with 97.3% (34/35) for responders and 98.2% (55/56) for non-responders. Post-nT RECIST achieved the highest accuracy (93.4% [85/91]) in distinguishing complete responders from non-pCRs, with 77.8% (11/18) for pCRs and 94.5% (69/73) for non-pCRs. CONCLUSION The qRECIST with mpMRI can assess treatment-induced changes and may be used for early prediction of response to nT in ESCC patients. KEY POINTS • Quantitative mpMRI can reliably assess tumor response, and delta RECIST model had the best performance in evaluating response to nT in ESCCs, with an AUC of 0.98, 0.95, 0.80, and 0.82 for predicting TRG0, TRG1, TRG2, and TRG3, respectively. • In distinguishing responders from non-responders, the rate of agreement between delta RECIST and pathology was 97.3% (34/35) for responders and 98.2% (55/56) for non-responders, resulting in an overall agreement rate of 97.8% (89/91). • In distinguishing pCRs from non-pCR, the rate of agreement between MRI and pathology was 77.8% (11/18) for pCRs and 94.5% (69/73) for non- pCRs, resulting in an overall agreement rate of 91.2% (83/91).
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Impact of Blood Parameters and Normal Tissue Dose on Treatment Outcome in Esophageal Cancer Patients Undergoing Neoadjuvant Radiochemotherapy. Cancers (Basel) 2022; 14:cancers14143504. [PMID: 35884564 PMCID: PMC9320742 DOI: 10.3390/cancers14143504] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/30/2022] [Revised: 07/10/2022] [Accepted: 07/11/2022] [Indexed: 11/16/2022] Open
Abstract
Despite technological advances, normal tissue sparing in photon beam irradiation is still challenging. Since in esophageal cancer this may inflict damage on the lungs, heart and bone marrow, possibly impacting on outcome, the aim of this study was to investigate the association of normal tissue dose and blood parameters on the survival of patients having undergone neoadjuvant radiochemotherapy (RCTx) followed by surgery. This retrospective study included 125 patients irradiated to 40−41.4 Gy with photons or protons combined with concurrent chemotherapy. On initial and restaging 18F-FDG-PET/CT, the lungs and heart were contoured as organs at risk for which standardized uptake values (SUV) were evaluated. The mean radiation dose (Dmean) to the lungs and heart, the volume of the lungs receiving at least 20 Gy (V20Gy_lung) and various pre- and per-treatment blood parameters were included in the Cox regression analyses. Results: The median follow-up time was 19.8 months and median overall survival 37 months (95% confidence interval: 16−58.9 months). In multivariate analysis, higher radiation doses to the lungs and heart were statistically significantly associated with decreased overall survival (Dmean_lung: p < 0.001; V20Gy_lung: p < 0.002; Dmean_heart: p = 0.005). Neither the 18F-FDG-PET nor blood parameters were predictive for overall survival. In patients with locally advanced esophageal cancer treated with RCTx, the radiation dose to the heart and lungs was significantly associated with overall survival.
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Yang H, Ge X, Zheng X, Li X, Li J, Liu M, Zhu J, Qin J. Predicting Grade of Esophageal Squamous Carcinoma: Can Stretched Exponential Model-Based DWI Perform Better Than Bi-Exponential and Mono-Exponential Model? Front Oncol 2022; 12:904625. [PMID: 35912203 PMCID: PMC9329622 DOI: 10.3389/fonc.2022.904625] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/20/2022] [Accepted: 06/20/2022] [Indexed: 11/13/2022] Open
Abstract
Background To evaluate and compare the potential performance of various diffusion parameters obtained from mono-exponential model (MEM)-, bi-exponential model (BEM)-, and stretched exponential model (SEM)-based diffusion-weighted imaging (DWI) in grading of esophageal squamous carcinoma (ESC). Methods Eighty-two patients with pathologically confirmed ESC without treatment underwent multi-b-value DWI scan with 13 b values (0~12,00 s/mm2). The apparent diffusion coefficient (ADC) deriving from the MEM; the pure molecular diffusion (ADCslow), pseudo-diffusion coefficient (ADCfast), perfusion, and fraction (f) deriving from the BEM; and the distributed diffusion coefficient (DDC) and water molecular diffusion heterogeneity index (α) deriving from the SEM were calculated and compared between poorly differentiated and well/moderately differentiated ESC, respectively. The prediction parameters and diagnostic efficiency were compared by drawing receiver operating characteristic (ROC) curves. Results The ADC, ADCslow, ADCfast, and DDC in poorly ESC were significantly lower than those in well/moderately differentiated ones. By using only one parameter, ADCslow, DDC had the moderate diagnostic efficiency and the areas under the curve (AUC) were 0.758 and 0.813 in differentiating ESC. The DDC had the maximum AUC with sensitivity (88.00%) and specificity (68.42%). Combining ADC with ADCfast, ADCslow, and DDC and combining ADCslow with ADCfast can provide a higher diagnostic accuracy with AUC ranging from 0.756, 0.771, 0.816, and 0.793, respectively. Conclusion Various parameters derived from different DWI models including MEM, BEM, and SEM were potentially helpful in grading ESC. DDC obtained from SEM was the most promising diffusion parameter for predicting the grade of ESC.
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Affiliation(s)
- Hui Yang
- Department of Radiology, The Second Affiliated Hospital of Shandong First Medical University, Tai’an, China
| | - Xubo Ge
- Department of Radiology, The Fourth People’s Hospital of Taian, Tai’an, China
| | - Xiuzhu Zheng
- Department of Radiology, The Second Affiliated Hospital of Shandong First Medical University, Tai’an, China
| | - Xiaoqian Li
- Department of Radiology, The Second Affiliated Hospital of Shandong First Medical University, Tai’an, China
| | - Jiang Li
- Department of Radiology, The Second Affiliated Hospital of Shandong First Medical University, Tai’an, China
| | - Min Liu
- Department of Radiology, The Second Affiliated Hospital of Shandong First Medical University, Tai’an, China
| | - Jianzhong Zhu
- Department of Radiology, The Second Affiliated Hospital of Shandong First Medical University, Tai’an, China
| | - Jian Qin
- Department of Radiology, The Second Affiliated Hospital of Shandong First Medical University, Tai’an, China
- *Correspondence: Jian Qin,
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Han D, Li B, Zhao Q, Sun H, Dong J, Hao S, Huang W. The Key Clinical Questions of Neoadjuvant Chemoradiotherapy for Resectable Esophageal Cancer—A Review. Front Oncol 2022; 12:890688. [PMID: 35912182 PMCID: PMC9333126 DOI: 10.3389/fonc.2022.890688] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/06/2022] [Accepted: 06/16/2022] [Indexed: 11/13/2022] Open
Abstract
Over 50% of individuals with esophageal cancer (EC) present with advanced stages of the disease; therefore, their outcome following surgery alone is poor, with only 25%–36% being alive 5 years post-surgery. Based on the evidence that the CROSS and NEOCRTEC5010 trials provided, neoadjuvant chemoradiotherapy (nCRT) is now the standard therapy for patients with locally advanced EC. However, there are still many concerning clinical questions that remain controversial such as radiation dose, appropriate patient selection, the design of the radiation field, the time interval between chemoradiotherapy (CRT) and surgery, and esophageal retention. With immune checkpoint inhibitors (ICIs) rapidly becoming a mainstay of cancer therapy, along with radiation, chemotherapy, and surgery, the combination mode of immunotherapy is also becoming a hot topic of discussion. Here, we try to provide constructive suggestions to answer the perplexing problems and clinical concerns for the progress of nCRT for EC in the future.
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Affiliation(s)
- Dan Han
- Shandong University Cancer Center, Jinan, China
- Department of Radiation Oncology, Shandong Cancer Hospital and Institute, Shandong First Medical University and Shandong Academy of Medical Sciences, Jinan, China
| | - Baosheng Li
- Department of Radiation Oncology, Shandong Cancer Hospital and Institute, Shandong First Medical University and Shandong Academy of Medical Sciences, Jinan, China
| | - Qian Zhao
- Department of Radiation Oncology, Shandong Cancer Hospital and Institute, Shandong First Medical University and Shandong Academy of Medical Sciences, Jinan, China
| | - Hongfu Sun
- Shandong University Cancer Center, Jinan, China
| | - Jinling Dong
- Department of Radiation Oncology, Shandong Cancer Hospital and Institute, Shandong First Medical University and Shandong Academy of Medical Sciences, Jinan, China
| | - Shaoyu Hao
- Shandong University Cancer Center, Jinan, China
- Department of Thoracic Surgery, Shandong Cancer Hospital and Institute, Shandong First Medical University and Shandong Academy of Medical Sciences, Jinan, China
- *Correspondence: Wei Huang, ; Shaoyu Hao,
| | - Wei Huang
- Department of Radiation Oncology, Shandong Cancer Hospital and Institute, Shandong First Medical University and Shandong Academy of Medical Sciences, Jinan, China
- *Correspondence: Wei Huang, ; Shaoyu Hao,
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Boekhoff M, Bouwmans R, Doornaert P, Intven M, Lagendijk J, van Lier A, Rasing M, van de Ven S, Meijer G, Mook S. Clinical implementation and feasibility of long-course fractionated MR-guided chemoradiotherapy for patients with esophageal cancer: an R-IDEAL stage 1b/2a evaluation of technical innovation. Clin Transl Radiat Oncol 2022; 34:82-89. [PMID: 35372703 PMCID: PMC8971577 DOI: 10.1016/j.ctro.2022.03.008] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/11/2022] [Accepted: 03/15/2022] [Indexed: 11/05/2022] Open
Abstract
Online MR-guided long-course fractionated chemoradiotherapy for patients with esophageal cancer was feasible in 7 out of 9 patients. Median treatment time was 53 min per fraction. MRgRT resulted in a reduction in mean heart dose (12%) and mean lung dose (26%) compared to CBCT-guided radiotherapy. Limited intrafraction motion was observed during dose delivery.
Purpose This R-Ideal stage 1b/2a study describes the workflow and feasibility of long-course fractionated online adaptive MR-guided chemoradiotherapy with reduced CTV-to-PTV margins on the 1.5T MR-Linac for patients with esophageal cancer. Methods Patients with esophageal cancer scheduled to undergo chemoradiation were treated on a 1.5T MR-Linac. Daily MR-images were acquired for online contour adaptation and replanning. Contours were manually adapted to match the daily anatomy and an isotropic CTV-to-PTV margin of 6 mm was applied. Time was recorded for all individual steps in the workflow. Feasibility and patient tolerability were defined as on-table time of ≤60 min and completion of >95% of the fractions on the MR-Linac, respectively. Positioning verification and post-treatment MRIs were retrospectively analyzed and dosimetric parameters were compared to standard non-adaptive conventional treatment plans. Results Nine patients with esophageal cancer were treated with chemoradiation; eight patients received 41.4 Gy in 23 fractions and one received 50.4 Gy in 28 fractions. Four patients received all planned fractions on the MR-Linac, whereas for two patients >5% of fractions were rescheduled to a conventional linac for reasons of discomfort. A total of 183 (86%) of 212 scheduled fractions were successfully delivered on the MR-Linac. Three fractions ended prematurely due to technical issues and 26 fractions were rescheduled on a conventional linac due to MR-Linac downtime (n = 10), logistical reasons (n = 3) or discomfort (n = 13). The median time per fraction was 53 min (IQR = 3 min). Daily adapted MR-Linac plans had similar target coverage, whereas dose to the organs-at-risk was significantly reduced compared to conventional treatment (26% and 12% reduction in mean lung and heart dose, respectively). Conclusion Daily online adaptive fractionated chemoradiotherapy with reduced PTV margins is moderately feasible for esophageal cancer and results in better sparing of heart and lungs. Future studies should focus on further optimization and acceleration of the current workflow.
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Pellat A, Dohan A, Soyer P, Veziant J, Coriat R, Barret M. The Role of Magnetic Resonance Imaging in the Management of Esophageal Cancer. Cancers (Basel) 2022; 14:cancers14051141. [PMID: 35267447 PMCID: PMC8909473 DOI: 10.3390/cancers14051141] [Citation(s) in RCA: 6] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/03/2022] [Revised: 02/16/2022] [Accepted: 02/18/2022] [Indexed: 02/01/2023] Open
Abstract
Esophageal cancer (EC) is the eighth more frequent cancer worldwide, with a poor prognosis. Initial staging is critical to decide on the best individual treatment approach. Current modalities for the assessment of EC are irradiating techniques, such as computed tomography (CT) and positron emission tomography/CT, or invasive techniques, such as digestive endoscopy and endoscopic ultrasound. Magnetic resonance imaging (MRI) is a non-invasive and non-irradiating imaging technique that provides high degrees of soft tissue contrast, with good depiction of the esophageal wall and the esophagogastric junction. Various sequences of MRI have shown good performance in initial tumor and lymph node staging in EC. Diffusion-weighted MRI has also demonstrated capabilities in the evaluation of tumor response to chemoradiotherapy. To date, there is not enough data to consider whole body MRI as a routine investigation for the detection of initial metastases or for prediction of distant recurrence. This narrative review summarizes the current knowledge on MRI for the management of EC.
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Affiliation(s)
- Anna Pellat
- Department of Gastroenterology and Digestive Oncology, Hôpital Cochin, AP-HP, 27 rue du Faubourg Saint Jacques, 75014 Paris, France; (A.P.); (R.C.)
- Université de Paris, 75006 Paris, France; (A.D.); (P.S.); (J.V.)
| | - Anthony Dohan
- Université de Paris, 75006 Paris, France; (A.D.); (P.S.); (J.V.)
- Department of Radiology, Hôpital Cochin, AP-HP, 27 rue du Faubourg Saint Jacques, 75014 Paris, France
| | - Philippe Soyer
- Université de Paris, 75006 Paris, France; (A.D.); (P.S.); (J.V.)
- Department of Radiology, Hôpital Cochin, AP-HP, 27 rue du Faubourg Saint Jacques, 75014 Paris, France
| | - Julie Veziant
- Université de Paris, 75006 Paris, France; (A.D.); (P.S.); (J.V.)
- Department of Digestive Surgery, Hôpital Cochin, AP-HP, 27 rue du Faubourg Saint Jacques, 75014 Paris, France
| | - Romain Coriat
- Department of Gastroenterology and Digestive Oncology, Hôpital Cochin, AP-HP, 27 rue du Faubourg Saint Jacques, 75014 Paris, France; (A.P.); (R.C.)
- Université de Paris, 75006 Paris, France; (A.D.); (P.S.); (J.V.)
| | - Maximilien Barret
- Department of Gastroenterology and Digestive Oncology, Hôpital Cochin, AP-HP, 27 rue du Faubourg Saint Jacques, 75014 Paris, France; (A.P.); (R.C.)
- Université de Paris, 75006 Paris, France; (A.D.); (P.S.); (J.V.)
- Correspondence:
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Jiang W, de Jong JM, van Hillegersberg R, Read M. Predicting Response to Neoadjuvant Therapy in Oesophageal Adenocarcinoma. Cancers (Basel) 2022; 14:cancers14040996. [PMID: 35205743 PMCID: PMC8869950 DOI: 10.3390/cancers14040996] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/17/2022] [Revised: 02/07/2022] [Accepted: 02/12/2022] [Indexed: 12/20/2022] Open
Abstract
(1) Background: Oesophageal cancers are often late-presenting and have a poor 5-year survival rate. The standard treatment of oesophageal adenocarcinomas involves neoadjuvant chemotherapy with or without radiotherapy followed by surgery. However, less than one third of patients respond to neoadjuvant therapy, thereby unnecessarily exposing patients to toxicity and deconditioning. Hence, there is an urgent need for biomarkers to predict response to neoadjuvant therapy. This review explores the current biomarker landscape. (2) Methods: MEDLINE, EMBASE and ClinicalTrial databases were searched with key words relating to “predictive biomarker”, “neoadjuvant therapy” and “oesophageal adenocarcinoma” and screened as per the inclusion and exclusion criteria. All peer-reviewed full-text articles and conference abstracts were included. (3) Results: The search yielded 548 results of which 71 full-texts, conference abstracts and clinical trials were eligible for review. A total of 242 duplicates were removed, 191 articles were screened out, and 44 articles were excluded. (4) Discussion: Biomarkers were discussed in seven categories including imaging, epigenetic, genetic, protein, immunologic, blood and serum-based with remaining studies grouped in a miscellaneous category. (5) Conclusion: Although promising markers and novel methods have emerged, current biomarkers lack sufficient evidence to support clinical application. Novel approaches have been recommended to assess predictive potential more efficiently.
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Affiliation(s)
- William Jiang
- Upper Gastrointestinal Surgery Department, St Vincent’s Hospital Melbourne, 41 Victoria Parade, Fitzroy, VIC 3065, Australia
- Correspondence: (W.J.); (M.R.)
| | - Jelske M. de Jong
- Gastrointestinal Oncology Department, The University Medical Centre Utrecht, Heidelberglaan 100, 3584 CX Utrecht, The Netherlands; (J.M.d.J.); (R.v.H.)
| | - Richard van Hillegersberg
- Gastrointestinal Oncology Department, The University Medical Centre Utrecht, Heidelberglaan 100, 3584 CX Utrecht, The Netherlands; (J.M.d.J.); (R.v.H.)
| | - Matthew Read
- Upper Gastrointestinal Surgery Department, St Vincent’s Hospital Melbourne, 41 Victoria Parade, Fitzroy, VIC 3065, Australia
- Correspondence: (W.J.); (M.R.)
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Deng HP, Li XM, Yang L, Wang Y, Wang SY, Zhou P, Lu YJ, Ren J, Wang M. DCE-MRI of esophageal carcinoma using star-VIBE compared with conventional 3D-VIBE. Sci Rep 2021; 11:24091. [PMID: 34916532 PMCID: PMC8677801 DOI: 10.1038/s41598-021-03171-5] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/04/2021] [Accepted: 11/29/2021] [Indexed: 11/09/2022] Open
Abstract
To investigate the value of the star-VIBE sequence in dynamic contrast-enhanced magnetic resonance imaging of esophageal carcinoma under free breathing conditions. From February 2019 to June 2020, 60 patients with esophageal carcinoma were prospectively enrolled to undergo dynamic contrast-enhanced magnetic resonance imaging (DCE-MRI) with the K-space golden-angle radial stack-of-star acquisition scheme (star-VIBE) sequence (Group A) or conventional 3D volumetric-interpolated breath-hold examination (3D-VIBE) sequence (Group B), completely randomized grouping. The image quality of DCE-MRI was subjectively evaluated at five levels and objectively evaluated according to the image signal-to-noise ratio (SNR) and contrast-noise ratio (CNR). The DCE-MRI parameters of volume transfer constant (Ktrans), rate constant (Kep) and vascular extracellular volume fraction (Ve) were calculated using the standard Tofts double-compartment model in the post-perfusion treatment software TISSUE 4D (Siemens). Each group included 30 randomly selected cases. There was a significant difference in subjective classification between the groups (35.90 vs 25.10, p = 0.009). The study showed that both the SNR and CNR of group A were significantly higher than those of group B (p = 0.004 and < 0.001, respectively). There was no significant difference in Ktrans, Kep or Ve between the groups (all p > 0.05). The star-VIBE sequence can be applied in DCE-MRI examination of esophageal carcinoma, which can provide higher image quality than the conventional 3D-VIBE sequence in the free breathing state.
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Affiliation(s)
- He-Ping Deng
- Sichuan Cancer Hospital and Institute, Sichuan Cancer Center, School of Medicine, University of Electronic Science and Technology of China, 55# Lan 4 RenMing Road (South), Chengdu, 610041, Sichuan, China
| | - Xue-Ming Li
- Sichuan Cancer Hospital and Institute, Sichuan Cancer Center, School of Medicine, University of Electronic Science and Technology of China, 55# Lan 4 RenMing Road (South), Chengdu, 610041, Sichuan, China
| | - Liu Yang
- Sichuan Cancer Hospital and Institute, Sichuan Cancer Center, School of Medicine, University of Electronic Science and Technology of China, 55# Lan 4 RenMing Road (South), Chengdu, 610041, Sichuan, China
| | - Yi Wang
- Sichuan Cancer Hospital and Institute, Sichuan Cancer Center, School of Medicine, University of Electronic Science and Technology of China, 55# Lan 4 RenMing Road (South), Chengdu, 610041, Sichuan, China
| | - Shao-Yu Wang
- Xi'an Branch of Siemens Healthcare Ltd., Xian, 710075, China
| | - Peng Zhou
- Sichuan Cancer Hospital and Institute, Sichuan Cancer Center, School of Medicine, University of Electronic Science and Technology of China, 55# Lan 4 RenMing Road (South), Chengdu, 610041, Sichuan, China
| | - Yu-Jie Lu
- Sichuan Cancer Hospital and Institute, Sichuan Cancer Center, School of Medicine, University of Electronic Science and Technology of China, 55# Lan 4 RenMing Road (South), Chengdu, 610041, Sichuan, China
| | - Jin Ren
- Sichuan Cancer Hospital and Institute, Sichuan Cancer Center, School of Medicine, University of Electronic Science and Technology of China, 55# Lan 4 RenMing Road (South), Chengdu, 610041, Sichuan, China.
| | - Min Wang
- Sichuan Cancer Hospital and Institute, Sichuan Cancer Center, School of Medicine, University of Electronic Science and Technology of China, 55# Lan 4 RenMing Road (South), Chengdu, 610041, Sichuan, China.
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Gu L, Xie X, Guo Z, Shen W, Qian P, Jiang N, Fan Y. Dynamic contrast-enhanced magnetic resonance imaging: A novel approach to assessing treatment in locally advanced esophageal cancer patients. Niger J Clin Pract 2021; 24:1800-1807. [PMID: 34889788 DOI: 10.4103/njcp.njcp_78_21] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/04/2022]
Abstract
Aims This study aims to investigate the potential application of dynamic contrast-enhanced magnetic resonance imaging (DCE-MRI) to predict concurrent chemoradiation (CRT) in locally advanced esophageal carcinoma. Patients and Methods This study involved 33 patients with locally advanced esophageal cancer and treated with CRT. The patients underwent DCE-MRI before CRT (pre) and 3 weeks after starting CRT (mid). The patients were categorized into two groups: complete response (CR) and non-complete response (non-CR) after 3 months of treatment. The quantitative parameters of DCE-MRI (Ktrans, Kep, and Ve), the changes and ratios of parameters (ΔKtrans, ΔKep, ΔVe, rΔKtrans, rΔKep, and rΔVe), and the relative ratio in the tumor area and a normal tube wall (rKtrans, rKep, and rVe) were calculated and compared between two timeframes in two groups, respectively. Moreover, the receiver operating characteristics (ROC) statistical analysis was used to assess the above parameters. Results We divided 33 patients into two groups: 22 in the CR group and 11 in the non-CR group. During the mid-CRT phase in the CR group, both Ktrans and Kep rapidly decreased, while only Kep decreased in the non-CR group. The pre-Ktrans and pre-Kep in the CR group were substantially higher compared to the non-CR group. Moreover, the rKtrans was also apparently observed as higher at pre-CRT in the CR group compared to the non-CR group. The ROC analysis demonstrated that the pre-Ktrans could be the best parameter to evaluate the treatment performance (AUC = 0.74). Conclusion Pre-Ktrans could be a promising parameter to forecast how patients with locally advanced esophageal cancer will respond to CRT.
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Affiliation(s)
- L Gu
- Department of Radiology, The Affiliated Cancer Hospital of Nanjing Medical University and Jiangsu Cancer Hospital and Jiangsu Institute of Cancer Research, Baiziting Road, Nanjing, P. R. China
| | - X Xie
- Department of Radiology, The Affiliated Cancer Hospital of Nanjing Medical University and Jiangsu Cancer Hospital and Jiangsu Institute of Cancer Research, Baiziting Road, Nanjing, P. R. China
| | - Z Guo
- Department of Radiology, The Affiliated Cancer Hospital of Nanjing Medical University and Jiangsu Cancer Hospital and Jiangsu Institute of Cancer Research, Baiziting Road, Nanjing, P. R. China
| | - W Shen
- Department of Radiology, The Affiliated Cancer Hospital of Nanjing Medical University and Jiangsu Cancer Hospital and Jiangsu Institute of Cancer Research, Baiziting Road, Nanjing, P. R. China
| | - P Qian
- Department of Radiation Oncology, The Affiliated Cancer Hospital of Nanjing Medical University and Jiangsu Cancer Hospital and Jiangsu Institute of Cancer Research, Baiziting Road, Nanjing, P. R. China
| | - N Jiang
- Department of Radiation Oncology, The Affiliated Cancer Hospital of Nanjing Medical University and Jiangsu Cancer Hospital and Jiangsu Institute of Cancer Research, Baiziting Road, Nanjing, P. R. China
| | - Y Fan
- Department of Radiation Oncology, The Affiliated Cancer Hospital of Nanjing Medical University and Jiangsu Cancer Hospital and Jiangsu Institute of Cancer Research, Baiziting Road, Nanjing, P. R. China
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Diffusion-weighted MRI and 18F-FDG PET/CT in assessing the response to neoadjuvant chemoradiotherapy in locally advanced esophageal squamous cell carcinoma. Radiat Oncol 2021; 16:132. [PMID: 34281566 PMCID: PMC8287821 DOI: 10.1186/s13014-021-01852-z] [Citation(s) in RCA: 10] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/06/2021] [Accepted: 07/04/2021] [Indexed: 12/24/2022] Open
Abstract
BACKGROUND Neoadjuvant chemoradiotherapy (nCRT) followed by surgery is a currently widely used strategy for locally advanced esophageal cancer (EC). However, the conventional imaging methods have certain deficiencies in the evaluation and prediction of the efficacy of nCRT. This study aimed to explore the value of functional imaging in predicting the response to neoadjuvant chemoradiotherapy (nCRT) in locally advanced esophageal squamous cell carcinoma (ESCC). METHODS Fifty-four patients diagnosed with locally advanced ESCC from August 2017 to September 2019 and treated with nCRT were retrospectively analyzed. DW-MRI scanning was performed before nCRT, at 10-15 fractions of radiotherapy, and 4-6 weeks after the completion of nCRT. 18F-FDG PET/CT scans were performed before nCRT and 4-6 weeks after the completion of nCRT. These 18F-FDG PET/CT and DW-MRI parameters and relative changes were compared between patients with pathological complete response (pCR) and non-pCR. RESULTS A total of 8 of 54 patients (14.8%) were evaluated as disease progression in the preoperative assessment. The remaining forty-six patients underwent operations, and the pathological assessments of the surgical resection specimens demonstrated pathological complete response (pCR) in 10 patients (21.7%) and complete response of primary tumor (pCR-T) in 16 patients (34.8%). The change of metabolic tumor volume (∆MTV) and change of total lesion glycolysis (∆TLG) were significantly different between patients with pCR and non-pCR. The SUVmax-Tpost, MTV-Tpost, and TLG-Tpost of esophageal tumors in 18F-FDG PET/CT scans after neoadjuvant chemoradiotherapy and the ∆ SUVmax-T and ∆MTV-T were significantly different between pCR-T versus non-pCR-T patients. The esophageal tumor apparent diffusion coefficient (ADC) increased after nCRT; the ADCduring, ADCpost and ∆ADCduring were significantly different between pCR-T and non-pCR-T groups. ROC analyses showed that the model that combined ADCduring with TLG-Tpost had the highest AUC (0.914) for pCR-T prediction, with 90.0% and 86.4% sensitivity and specificity, respectively. CONCLUSION 18F-FDG PET/CT is useful for re-staging after nCRT and for surgical decision. Integrating parameters of 18F-FDG PET/CT and DW-MRI can identify pathological response of primary tumor to nCRT more accurately in ESCC.
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Boekhoff M, Defize I, Borggreve A, van Hillegersberg R, Kotte A, Lagendijk J, van Lier A, Ruurda J, Takahashi N, Mook S, Meijer G. An in-silico assessment of the dosimetric benefits of MR-guided radiotherapy for esophageal cancer patients. Radiother Oncol 2021; 162:76-84. [PMID: 34237345 DOI: 10.1016/j.radonc.2021.06.038] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/03/2021] [Revised: 06/17/2021] [Accepted: 06/26/2021] [Indexed: 12/25/2022]
Abstract
PURPOSE To assess the dosimetric benefits of online MR-guided radiotherapy (MRgRT) for esophageal cancer patients and to assess how these benefits could be translated into a local boosting strategy to improve future outcomes. METHODS Twenty-nine patients were in-silico treated with both a MRgRT regimen and a conventional image guided radiotherapy (IGRT) regimen using dose warping techniques. Here, the inter and intrafractional changes that occur over the course of treatment (as derived from 5 MRI scans that were acquired weekly during treatment) were incorporated to assess the total accumulated dose for each regimen. RESULTS A significant reduction in dose to the organs-at-risk (OARs) was observed for all dose-volume-histogram (DVH) parameters for the MRgRT regimen without concessions to target coverage compared to the IGRT regimen. The mean lung dose was reduced by 28%, from 7.9 to 5.7 Gy respectively and V20Gy of the lungs was reduced by 55% (6.3-2.8%). A reduction of 24% was seen in mean heart dose (14.8-11.2 Gy), while the V25Gy of the heart was decreased by 53% (14.3-6.7%) and the V40Gy of the heart was decreased by 69% (3.9-1.2%). In addition, MRgRT dose escalation regimens with a boost up to 66% of the prescription dose to the primary tumor yielded approximately the same dose levels to the OARs as from the conventional IGRT regimen. CONCLUSION This study revealed that MRgRT for esophageal cancer has the potential to significantly reduce the dose to heart and lungs. In addition, online high precision targeting of the primary tumor opens new perspectives for local boosting strategies to improve outcome of the local management of this disease.
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Affiliation(s)
- Mick Boekhoff
- Department of Radiation Oncology, University Medical Center Utrecht, Utrecht University, The Netherlands.
| | - Ingmar Defize
- Department of Radiation Oncology, University Medical Center Utrecht, Utrecht University, The Netherlands; Department of Surgery, University Medical Center Utrecht, Utrecht University, The Netherlands
| | - Alicia Borggreve
- Department of Radiation Oncology, University Medical Center Utrecht, Utrecht University, The Netherlands; Department of Surgery, University Medical Center Utrecht, Utrecht University, The Netherlands
| | | | - Alexis Kotte
- Department of Radiation Oncology, University Medical Center Utrecht, Utrecht University, The Netherlands
| | - Jan Lagendijk
- Department of Radiation Oncology, University Medical Center Utrecht, Utrecht University, The Netherlands
| | - Astrid van Lier
- Department of Radiation Oncology, University Medical Center Utrecht, Utrecht University, The Netherlands
| | - Jelle Ruurda
- Department of Surgery, University Medical Center Utrecht, Utrecht University, The Netherlands
| | - Noriyoshi Takahashi
- Department of Radiation Oncology, University Medical Center Utrecht, Utrecht University, The Netherlands; Department of Radiation Oncology, Tohoku University Graduate School of Medicine, Sendai, Japan
| | - Stella Mook
- Department of Radiation Oncology, University Medical Center Utrecht, Utrecht University, The Netherlands
| | - Gert Meijer
- Department of Radiation Oncology, University Medical Center Utrecht, Utrecht University, The Netherlands.
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Lee SL, Bassetti M, Meijer GJ, Mook S. Review of MR-Guided Radiotherapy for Esophageal Cancer. Front Oncol 2021; 11:628009. [PMID: 33828980 PMCID: PMC8019940 DOI: 10.3389/fonc.2021.628009] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/10/2020] [Accepted: 02/02/2021] [Indexed: 12/24/2022] Open
Abstract
In this review, we outline the potential benefits and the future role of MRI and MR-guided radiotherapy (MRgRT) in the management of esophageal cancer. Although not currently used in most clinical practice settings, MRI is a useful non-invasive imaging modality that provides excellent soft tissue contrast and the ability to visualize cancer physiology. Chemoradiation therapy with or without surgery is essential for the management of locally advanced esophageal cancer. MRI can help stage esophageal cancer, delineate the gross tumor volume (GTV), and assess the response to chemoradiotherapy. Integrated MRgRT systems can help overcome the challenge of esophageal motion due to respiratory motion by using real-time imaging and tumor tracking with respiratory gating. With daily on-table MRI, shifts in tumor position and tumor regression can be taken into account for online-adaptation. The combination of accurate GTV visualization, respiratory gating, and online adaptive planning, allows for tighter treatment volumes and improved sparing of the surrounding normal organs. This could lead to a reduction in radiotherapy induced cardiac toxicity, pneumonitis and post-operative complications. Tumor physiology as seen on diffusion weighted imaging or dynamic contrast enhancement can help individualize treatments based on the response to chemoradiotherapy. Patients with a complete response on MRI can be considered for organ preservation while patients with no response can be offered an earlier resection. In patients with a partial response to chemoradiotherapy, areas of residual cancer can be targeted for dose escalation. The tighter and more accurate targeting enabled with MRgRT may enable hypofractionated treatment schedules.
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Affiliation(s)
- Sangjune Laurence Lee
- Department of Oncology, Division of Radiation Oncology, Tom Baker Cancer Centre, University of Calgary, Calgary, AB, Canada
| | - Michael Bassetti
- Department of Human Oncology, University of Wisconsin Hospital and Clinics, Madison, WI, United States
| | - Gert J. Meijer
- Department of Radiation Oncology, University Medical Center Utrecht, Utrecht University, Utrecht, Netherlands
| | - Stella Mook
- Department of Radiation Oncology, University Medical Center Utrecht, Utrecht University, Utrecht, Netherlands
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Bruijnen T, van der Heide O, Intven MPW, Mook S, Lagendijk JJW, van den Berg CAT, Tijssen RHN. Technical feasibility of magnetic resonance fingerprinting on a 1.5T MRI-linac. Phys Med Biol 2020; 65:22NT01. [PMID: 32977318 DOI: 10.1088/1361-6560/abbb9d] [Citation(s) in RCA: 13] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/07/2023]
Abstract
Hybrid MRI-linac (MRL) systems enable daily multiparametric quantitative MRI to assess tumor response to radiotherapy. Magnetic resonance fingerprinting (MRF) may provide time efficient means of rapid multiparametric quantitative MRI. The accuracy of MRF, however, relies on adequate control over system imperfections, such as eddy currents and [Formula: see text], which are different and not as well established on MRL systems compared to diagnostic systems. In this study we investigate the technical feasibility of gradient spoiled 2D MRF on a 1.5T MRL. We show with phantom experiments that the MRL generates reliable MRF signals that are temporally stable during the day and have good agreement with spin-echo reference measurements. Subsequent in-vivo MRF scans in healthy volunteers and a patient with a colorectal liver metastasis showed good image quality, where the quantitative values of selected organs corresponded with the values reported in literature. Therefore we conclude that gradient spoiled 2D MRF is feasible on a 1.5T MRL with similar performance as on a diagnostic system. The precision and accuracy of the parametric maps are sufficient for further investigation of the clinical utility of MRF for online quantitatively MRI-guided radiotherapy.
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Affiliation(s)
- T Bruijnen
- Department of Radiation Oncology, University Medical Center Utrecht, Utrecht, The Netherlands. Computational Imaging Group for MRI Diagnostics and Therapy, Centre for Image Sciences, University Medical Center Utrecht, Utrecht, The Netherlands
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Role of Imaging in Esophageal Cancer Management in 2020: Update for Radiologists. AJR Am J Roentgenol 2020; 215:1072-1084. [PMID: 32901568 DOI: 10.2214/ajr.20.22791] [Citation(s) in RCA: 10] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/15/2022]
Abstract
OBJECTIVE. The purpose of this article is to discuss the role of imaging in the management of esophageal cancer. CONCLUSION. A multimodality-based approach to imaging is essential in clinical practice to achieve the best possible outcome for patients with esophageal cancer. Radiologists must be aware of the strengths and limitations of different imaging modalities in various clinical settings. The role of a radiologist is to combine information from anatomic and functional imaging, assess metastatic disease and changes in the primary tumor during treatment, and identify anatomic complications after treatment.
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Braun L, Reinert C, Zips D, Nikolaou K, Pfannenberg C, Gani C. Treatment outcome after radiochemotherapy in anal cancer patients staged with 18F-FDG-PET-CT. Clin Transl Radiat Oncol 2020; 24:83-87. [PMID: 32642564 PMCID: PMC7334798 DOI: 10.1016/j.ctro.2020.06.008] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/06/2020] [Revised: 06/15/2020] [Accepted: 06/15/2020] [Indexed: 11/11/2022] Open
Abstract
BACKGROUND Anal cancer (AC) is a malignancy with increasing incidence and commonly treated with radiochemotherapy. Positron-emission tomography-computed tomography (PET/CT) has been shown to improve treatment outcome in various oncological diseases, however, for AC long-term outcome data is sparse. The aim of the present study is therefore to report outcomes in our cohort of PET/CT staged AC patients treated with radiochemotherapy. METHODS Patients with AC who were treated with radiochemotherapy in curative intent were included in this retrospective study if a PET/CT scan was performed pre-therapeutically. Information from PET/CT was considered for nodal and primary target volume definition. Radiotherapy dose to the primary tumor was 50-66 Gy and concomitant chemotherapy included 5-fluorouracil and mitomycin-C. The uptake of 18F-fluorodeoxyglucose (FDG) was quantified using 50%-isocontour volumes of interests (VOIs) and measuring the standardized uptake value (SUV) and the metabolic tumor volume (MTV).18F-FDG uptake was correlated with baseline clinical parameters and long-term oncological outcome. Survival estimates were determined according to Kaplan-Meier. RESULTS A total of 60 patients were included in this study. Estimates for three-year overall survival (OS) and disease free survival (DFS) were 94.5% and 80%. Five patients developed local (n = 2) or locoregional and local (n = 3) failure. Baseline PET/CT related parameters correlated with primary tumor stage, nodal stage and tumor grading. DFS was independent of T-stage, N-stage and baseline 18F-FDG-uptake. CONCLUSION In this cohort of PET/CT staged AC patients, excellent outcomes for DFS were seen. PET-based markers of tumor burden correlate with local stage of AC, however, are not of prognostic relevance for disease-free survival.
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Affiliation(s)
- L.H. Braun
- Department of Radiation Oncology, University Hospital and Medical Faculty Tübingen, Eberhard Karls University Tübingen, Germany
- Klinik für Strahlentherapie und Palliativmedizin, Marienhospital Stuttgart, Germany
| | - C.P. Reinert
- Department of Diagnostic and Interventional Radiology, Eberhard Karls University Tubingen, Germany
| | - D. Zips
- Department of Radiation Oncology, University Hospital and Medical Faculty Tübingen, Eberhard Karls University Tübingen, Germany
- German Cancer Research Center (DKFZ) Heidelberg and German Consortium for Translational Cancer Research (DKTK), Partner Site Tübingen, Tübingen, Germany
| | - K. Nikolaou
- Department of Diagnostic and Interventional Radiology, Eberhard Karls University Tubingen, Germany
| | - C. Pfannenberg
- Department of Diagnostic and Interventional Radiology, Eberhard Karls University Tubingen, Germany
| | - C. Gani
- Department of Radiation Oncology, University Hospital and Medical Faculty Tübingen, Eberhard Karls University Tübingen, Germany
- German Cancer Research Center (DKFZ) Heidelberg and German Consortium for Translational Cancer Research (DKTK), Partner Site Tübingen, Tübingen, Germany
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