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Levy V, Jreige M, Haefliger L, Du Pasquier C, Noirot C, Dorothea Wagner A, Mantziari S, Schäfer M, Vietti-Violi N, Dromain C. Evaluation of MRI for initial staging of esophageal cancer: the STIRMCO study. Eur Radiol 2025:10.1007/s00330-025-11549-6. [PMID: 40379940 DOI: 10.1007/s00330-025-11549-6] [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: 10/31/2024] [Revised: 01/08/2025] [Accepted: 02/21/2025] [Indexed: 05/19/2025]
Abstract
OBJECTIVES To compare the diagnostic accuracy of MRI and PET/CT combined versus standard staging methods (CT, endoscopic ultrasound [EUS], and PET/CT) for initial staging of esophageal cancer (EC). MATERIALS AND METHODS This study included patients newly diagnosed with histologically proven EC between 2017 and 2021. Patients underwent a 3-T esophageal MRI alongside standard staging (CT, EUS, PET/CT) prior to treatment. TNM-stages were assessed by two independent reviewers for MRI, CT, and PET/CT, with EUS evaluated by one operator. Discrepancies were resolved by a third reviewer. Patients were categorized based on treatment management: surgery (T1-T2N0M0), neoadjuvant (radio)chemotherapy (T3-T4a and/or N1-N2-N3M0), and palliative chemotherapy (T4b and/or M1). The reference standard was histopathology from surgical specimens or TNM staging from tumor board discussions. The area under the curve (AUC) was calculated for each imaging combination. RESULTS 60 patients newly diagnosed with EC (50M/10F; mean age 66.5 years) were prospectively enrolled. MRI + PET/CT combination exhibited the highest AUC (0.92, 95% CI: 0.79-1) for differentiating curative versus palliative patients, without statistically significant difference compared to CT + EUS (0.80, 95% CI: 0.56-1, p = 0.34), CT + PET/CT (0.77, 95% CI: 0.53-1, p = 0.42), and CT + EUS + PET/CT (0.78, 95% CI: 0.58-0.97, p = 0.26). In term of differentiating patients eligible for upfront surgery from those with indication for neoadjuvant (radio)chemotherapy, the combination of CT + EUS + PET/CT demonstrated the highest AUC (0.90, 95% CI: 0.75-1) without statistically significant difference compared to CT + EUS (0.82, 95% CI: 0.56-1, p = 0.49), CT + PET/CT (0.79, 95% CI: 0.46-1, p = 0.36), and MRI + PET/CT (0.83, 95% CI: 0.65-1, p = 0.59). CONCLUSION MRI + PET/CT combination is highly accurate for initial EC staging and non-inferior to standard methods, offering less invasiveness and reduced radiation exposure. KEY POINTS Question Can MRI help improve the TNM staging of esophageal cancer? Findings MRI + PET/CT showed no statistically significant difference compared to endoscopic ultrasound (EUS) + CT + PET/CT in identifying curative vs palliative patients but with a tendency for improved staging. Clinical relevance Thoraco-abdominal MRI can provide added value (as a replacement of CT and EUS) in initial staging of esophagus cancer, particularly in cases of stenotic or advanced tumors.
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Affiliation(s)
- Vincent Levy
- Department of Radiodiagnostic and Interventional Radiology, Lausanne University Hospital and University of Lausanne, Lausanne, Switzerland
| | - Mario Jreige
- Department of Nuclear Medicine, Lausanne University Hospital and University of Lausanne, Lausanne, Switzerland
| | - Laura Haefliger
- Department of Radiodiagnostic and Interventional Radiology, Lausanne University Hospital and University of Lausanne, Lausanne, Switzerland
| | - Celine Du Pasquier
- Department of Radiodiagnostic and Interventional Radiology, Lausanne University Hospital and University of Lausanne, Lausanne, Switzerland
| | - Camille Noirot
- Department of Radiodiagnostic and Interventional Radiology, Lausanne University Hospital and University of Lausanne, Lausanne, Switzerland
| | - Anna Dorothea Wagner
- Department of Oncology, Lausanne University Hospital and University of Lausanne, Lausanne, Switzerland
| | - Styliani Mantziari
- Department of Visceral Surgery, Lausanne University Hospital and University of Lausanne, Lausanne, Switzerland
| | - Markus Schäfer
- Department of Visceral Surgery, Lausanne University Hospital and University of Lausanne, Lausanne, Switzerland
| | - Naik Vietti-Violi
- Department of Radiodiagnostic and Interventional Radiology, Lausanne University Hospital and University of Lausanne, Lausanne, Switzerland
| | - Clarisse Dromain
- Department of Radiodiagnostic and Interventional Radiology, Lausanne University Hospital and University of Lausanne, Lausanne, Switzerland.
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Qu J, Wang Z, Zhang H, Lu Y, Jia Z, Lu S, Zhao K, Chu F, Bai B, Zheng Y, Xia Q, Li X, Wang S, Kamel IR. How to update esophageal masses imaging using literature review (MRI and CT features). Insights Imaging 2024; 15:169. [PMID: 38971944 PMCID: PMC11227487 DOI: 10.1186/s13244-024-01754-0] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/15/2023] [Accepted: 06/16/2024] [Indexed: 07/08/2024] Open
Abstract
MRI offers new opportunities for detailed visualization of the different layers of the esophageal wall, as well as early detection and accurate characterization of esophageal lesions. Staging of esophageal tumors including extramural extent of disease, and status of the adjacent organ can also be performed by MRI with higher accuracy compared to other imaging modalities including CT and esophageal endoscopy. Although MDCT appears to be the primary imaging modality that is indicated for preoperative staging of esophageal cancer to assess tumor resectability, MDCT is considered less accurate in T staging. This review aims to update radiologists about emerging imaging techniques and the imaging features of various esophageal masses, emphasizing the imaging features that differentiate between esophageal masses, demonstrating the critical role of MRI in esophageal masses. CRITICAL RELEVANCE STATEMENT: MRI features may help differentiate mucosal high-grade neoplasia from early invasive squamous cell cancer of the esophagus, also esophageal GISTs from leiomyomas, and esophageal malignant melanoma has typical MR features. KEY POINTS: MRI can accurately visualize different layers of the esophagus potentially has a role in T staging. MR may accurately delineate esophageal fistulae, especially small mediastinal fistulae. MRI features of various esophageal masses are helpful in the differentiation.
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Affiliation(s)
- Jinrong Qu
- Department of Radiology, the Affiliated Cancer Hospital of Zhengzhou University & Henan Cancer Hospital, Zhengzhou, Henan, 450008, China.
| | - Zhaoqi Wang
- Department of Radiology, the Affiliated Cancer Hospital of Zhengzhou University & Henan Cancer Hospital, Zhengzhou, Henan, 450008, China
| | - Hongkai Zhang
- Department of Radiology, the Affiliated Cancer Hospital of Zhengzhou University & Henan Cancer Hospital, Zhengzhou, Henan, 450008, China
| | - Yanan Lu
- Department of Radiology, the Affiliated Cancer Hospital of Zhengzhou University & Henan Cancer Hospital, Zhengzhou, Henan, 450008, China
| | - Zhengyan Jia
- Department of Radiology, the Affiliated Cancer Hospital of Zhengzhou University & Henan Cancer Hospital, Zhengzhou, Henan, 450008, China
| | - Shuang Lu
- Department of Radiology, the Affiliated Cancer Hospital of Zhengzhou University & Henan Cancer Hospital, Zhengzhou, Henan, 450008, China
| | - Keke Zhao
- Department of Radiology, the Affiliated Cancer Hospital of Zhengzhou University & Henan Cancer Hospital, Zhengzhou, Henan, 450008, China
| | - Funing Chu
- Department of Radiology, the Affiliated Cancer Hospital of Zhengzhou University & Henan Cancer Hospital, Zhengzhou, Henan, 450008, China
| | - Bingmei Bai
- Department of Radiology, the Affiliated Cancer Hospital of Zhengzhou University & Henan Cancer Hospital, Zhengzhou, Henan, 450008, China
| | - Yan Zheng
- Department of Thoracic surgery, the Affiliated Cancer Hospital of Zhengzhou University & Henan Cancer Hospital, Zhengzhou, Henan, 450008, China
| | - Qingxin Xia
- Department of Pathology, the Affiliated Cancer Hospital of Zhengzhou University & Henan Cancer Hospital, Zhengzhou, Henan, 450008, China
| | - Xu Li
- Department of Pathology, the Affiliated Cancer Hospital of Zhengzhou University & Henan Cancer Hospital, Zhengzhou, Henan, 450008, China
| | - Shaoyu Wang
- MR Scientific Marketing, Siemens Healthineers, Shanghai, 201318, China
| | - Ihab R Kamel
- Department of Radiology, Johns Hopkins University School of Medicine, Baltimore, MD, 21205-2196, USA
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Shi YJ, Yan S, Yang X, Guan Z, Li XT, Wang LL, Dai L, Sun YS. Early Contrast-Enhanced MR for Diagnosing Complete Tumor Response of Locally Advanced Esophageal Squamous Cell Carcinoma After Neoadjuvant Therapy: A Retrospective Comparative Study. Ann Surg Oncol 2024; 31:4271-4280. [PMID: 38453768 DOI: 10.1245/s10434-024-15123-0] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/27/2023] [Accepted: 02/14/2024] [Indexed: 03/09/2024]
Abstract
BACKGROUND This study assessed the performance of early contrast-enhanced magnetic resonance (ECE-MR) in the detecting of complete tumor response (ypT0) in patients with esophageal squamous cell carcinoma following neoadjuvant therapy. PATIENTS AND METHODS Preoperative MR images of consecutive patients who underwent neoadjuvant therapy and surgical resection were reviewed retrospectively. The accuracy of ECE-MR and T2WI+DWI was evaluated by comparing the findings with pathological results. Receiver operating characteristic curve analysis was used to assess the diagnostic performance, and DeLong method was applied to compare the areas under the curves (AUC). Chi-squared analysis was conducted to explore the difference in pathological changes. RESULTS A total of 198 patients (mean age 62.6 ± 7.8 years, 166 men) with 201 lesions were included. The AUC of ECE-MR was 0.85 (95% CI 0.79-0.90) for diagnosing ypT1-4, which was significantly higher than that of T2WI+DWI (AUC 0.69, 95% CI 0.63-0.76, p < 0.001). The diagnostic performance of both T2WI+DWI and ECE-MR improved with increasing tumor stage. The AUCs of ECE-MRI were higher in ypT1 and ypT2 tumors than T2WI+DWI. Degree 2-3 tumor-infiltrating lymphocytes and neutrophils were commonly seen in ypT0 tumors misdiagnosed by ECE-MR. CONCLUSIONS Visual evaluation of ECE-MR is a promising diagnostic protocol for the detection of complete tumor response, especially for differentiation with early stage tumors. The accurate diagnosis of complete tumor response after neoadjuvant therapy using imaging modalities is of important significance for clinical decision-making for patients with esophageal squamous cell carcinoma. It is hoped that early contrast-enhanced MR will provide supportive advice for the development of individualized treatment options for patients.
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Affiliation(s)
- Yan-Jie Shi
- Key Laboratory of Carcinogenesis and Translational Research (Ministry of Education/Beijing), Department of Radiology, Peking University Cancer Hospital and Institute, Hai Dian District, Beijing, China
| | - Shuo Yan
- Key Laboratory of Carcinogenesis and Translational Research (Ministry of Education/Beijing), Department of Radiology, Peking University Cancer Hospital and Institute, Hai Dian District, Beijing, China
| | - Xin Yang
- Key Laboratory of Carcinogenesis and Translational Research (Ministry of Education/Beijing), Department of Pathology, Peking University Cancer Hospital and Institute, Hai Dian District, Beijing, China
| | - Zhen Guan
- Key Laboratory of Carcinogenesis and Translational Research (Ministry of Education/Beijing), Department of Radiology, Peking University Cancer Hospital and Institute, Hai Dian District, Beijing, China
| | - Xiao-Ting Li
- Key Laboratory of Carcinogenesis and Translational Research (Ministry of Education/Beijing), Department of Radiology, Peking University Cancer Hospital and Institute, Hai Dian District, Beijing, China
| | - Lin-Lin Wang
- Key Laboratory of Carcinogenesis and Translational Research (Ministry of Education/Beijing), Department of Radiology, Peking University Cancer Hospital and Institute, Hai Dian District, Beijing, China
| | - Liang Dai
- Key Laboratory of Carcinogenesis and Translational Research (Ministry of Education/Beijing), The First Department of Thoracic Surgery, Peking University Cancer Hospital and Institute, Hai-Dian District, Beijing, China.
| | - Ying-Shi Sun
- Key Laboratory of Carcinogenesis and Translational Research (Ministry of Education/Beijing), Department of Radiology, Peking University Cancer Hospital and Institute, Hai Dian District, Beijing, China.
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Lu S, Wang C, Liu Y, Chu F, Jia Z, Zhang H, Wang Z, Lu Y, Wang S, Yang G, Qu J. The MRI radiomics signature can predict the pathologic response to neoadjuvant chemotherapy in locally advanced esophageal squamous cell carcinoma. Eur Radiol 2024; 34:485-494. [PMID: 37540319 DOI: 10.1007/s00330-023-10040-4] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/08/2023] [Revised: 05/26/2023] [Accepted: 06/19/2023] [Indexed: 08/05/2023]
Abstract
OBJECTIVES To investigate the MRI radiomics signatures in predicting pathologic response among patients with locally advanced esophageal squamous cell carcinoma (ESCC), who received neoadjuvant chemotherapy (NACT). METHODS Patients who underwent NACT from March 2015 to October 2019 were prospectively included. Each patient underwent esophageal MR scanning within one week before NACT and within 2-3 weeks after completion of NACT, prior to surgery. Radiomics features extracted from T2-TSE-BLADE were randomly split into the training and validation sets at a ratio of 7:3. According to the progressive tumor regression grade (TRG), patients were stratified into two groups: good responders (GR, TRG 0 + 1) and poor responders (non-GR, TRG 2 + 3). We constructed the Pre/Post-NACT model (Pre/Post-model) and the Delta-NACT model (Delta-model). Kruskal-Wallis was used to select features, logistic regression was used to develop the final model. RESULTS A total of 108 ESCC patients were included, and 3/2/4 out of 107 radiomics features were selected for constructing the Pre/Post/Delta-model, respectively. The selected radiomics features were statistically different between GR and non-GR groups. The highest area under the curve (AUC) was for the Delta-model, which reached 0.851 in the training set and 0.831 in the validation set. Among the three models, Pre-model showed the poorest performance in the training and validation sets (AUC, 0.466 and 0.596), and the Post-model showed better performance than the Pre-model in the training and validation sets (AUC, 0.753 and 0.781). CONCLUSIONS MRI-based radiomics models can predict the pathological response after NACT in ESCC patients, with the Delta-model exhibiting optimal predictive efficacy. CLINICAL RELEVANCE STATEMENT MRI radiomics features could be used as a useful tool for predicting the efficacy of neoadjuvant chemotherapy in esophageal carcinoma patients, especially in selecting responders among those patients who may be candidates to benefit from neoadjuvant chemotherapy. KEY POINTS • The MRI radiomics features based on T2WI-TSE-BLADE could potentially predict the pathologic response to NACT among ESCC patients. • The Delta-model exhibited the best predictive ability for pathologic response, followed by the Post-model, which similarly had better predictive ability, while the Pre-model performed less well in predicting TRG.
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Affiliation(s)
- Shuang Lu
- Department of Radiology, the Affiliated Cancer Hospital of Zhengzhou University & Henan Cancer Hospital, No. 127 Dongming Road, Zhengzhou, 450008, Henan, China
| | - Chenglong Wang
- Shanghai Key Laboratory of Magnetic Resonance, East China Normal University, Shanghai, 200062, China
| | - Yun Liu
- Shanghai Key Laboratory of Magnetic Resonance, East China Normal University, Shanghai, 200062, China
| | - Funing Chu
- Department of Radiology, the Affiliated Cancer Hospital of Zhengzhou University & Henan Cancer Hospital, No. 127 Dongming Road, Zhengzhou, 450008, Henan, China
| | - Zhengyan Jia
- Department of Radiology, the Affiliated Cancer Hospital of Zhengzhou University & Henan Cancer Hospital, No. 127 Dongming Road, Zhengzhou, 450008, Henan, China
| | - Hongkai Zhang
- Department of Radiology, the Affiliated Cancer Hospital of Zhengzhou University & Henan Cancer Hospital, No. 127 Dongming Road, Zhengzhou, 450008, Henan, China
| | - Zhaoqi Wang
- Department of Radiology, the Affiliated Cancer Hospital of Zhengzhou University & Henan Cancer Hospital, No. 127 Dongming Road, Zhengzhou, 450008, Henan, China
| | - Yanan Lu
- Department of Radiology, the Affiliated Cancer Hospital of Zhengzhou University & Henan Cancer Hospital, No. 127 Dongming Road, Zhengzhou, 450008, Henan, China
| | - Shuting Wang
- Department of Radiology, the Affiliated Cancer Hospital of Zhengzhou University & Henan Cancer Hospital, No. 127 Dongming Road, Zhengzhou, 450008, Henan, China
| | - Guang Yang
- Shanghai Key Laboratory of Magnetic Resonance, East China Normal University, Shanghai, 200062, China.
| | - Jinrong Qu
- Department of Radiology, the Affiliated Cancer Hospital of Zhengzhou University & Henan Cancer Hospital, No. 127 Dongming Road, Zhengzhou, 450008, Henan, China.
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Qu J, Su T, Pan B, Zhang T, Chen X, Zhu X, Chen Y, Zhang Z, Jin Z. Free-Breathing StarVIBE Sequence for the Detection of Extranodal Extension in Head and Neck Cancer: An Image Quality and Diagnostic Performance Study. Cancers (Basel) 2023; 15:4992. [PMID: 37894359 PMCID: PMC10605568 DOI: 10.3390/cancers15204992] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/19/2023] [Revised: 09/27/2023] [Accepted: 10/02/2023] [Indexed: 10/29/2023] Open
Abstract
(1) Background: This study aims to evaluate the image quality of abnormal cervical lymph nodes in head and neck cancer and the diagnostic performance of detecting extranodal extension (ENE) using free-breathing StarVIBE. (2) Methods: In this retrospective analysis, 80 consecutive head and neck cancer patients underwent StarVIBE before neck dissection at an academic center. Image quality was compared with conventional VIBE available for 28 of these patients. A total of 73 suspicious metastatic lymph nodes from 40 patients were found based on morphology and enhancement pattern on StarVIBE. Sensitivity (SN), specificity (SP), and odds ratios were calculated for each MR feature from StarVIBE to predict pathologic ENE. (3) Results: StarVIBE showed significantly superior image quality, signal-to-noise ratio (SNR), and contrast-to-noise ratio (CNR) for enlarged lymph nodes compared to VIBE. The MR findings of "invading adjacent planes" (SN, 0.54; SP, 1.00) and "matted nodes" (SN, 0.72; SP, 0.89) emerged as notable observations. The highest diagnostic performance was attained by combining these two features (SN, 0.93; SP, 0.89). (4) Conclusions: This study confirms that StarVIBE offers superior image quality for abnormal lymph nodes compared to VIBE, and it can accurately diagnose ENE by utilizing a composite MR criterion in head and neck cancer.
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Affiliation(s)
- Jiangming Qu
- Department of Radiology, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences, No.1 Shuai Fu Yuan, Dong Cheng District, Beijing 100730, China
| | - Tong Su
- Department of Radiology, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences, No.1 Shuai Fu Yuan, Dong Cheng District, Beijing 100730, China
| | - Boju Pan
- Department of Pathology, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences, No.1 Shuai Fu Yuan, Dong Cheng District, Beijing 100730, China
| | - Tao Zhang
- Department of Stomatology, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences, No.1 Shuai Fu Yuan, Dong Cheng District, Beijing 100730, China
| | - Xingming Chen
- Department of Otolaryngology, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences, No.1 Shuai Fu Yuan, Dong Cheng District, Beijing 100730, China
| | - Xiaoli Zhu
- Department of Otolaryngology, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences, No.1 Shuai Fu Yuan, Dong Cheng District, Beijing 100730, China
| | - Yu Chen
- Department of Radiology, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences, No.1 Shuai Fu Yuan, Dong Cheng District, Beijing 100730, China
| | - Zhuhua Zhang
- Department of Radiology, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences, No.1 Shuai Fu Yuan, Dong Cheng District, Beijing 100730, China
| | - Zhengyu Jin
- Department of Radiology, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences, No.1 Shuai Fu Yuan, Dong Cheng District, Beijing 100730, China
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Harino T, Yamasaki M, Murai S, Yamashita K, Tanaka K, Makino T, Saito T, Yamamoto K, Takahashi T, Kurokawa Y, Nakajima K, Tomiyama N, Eguchi H, Nakamura H, Doki Y. Impact of MRI on the post-therapeutic diagnosis of T4 esophageal cancer. Esophagus 2023; 20:740-748. [PMID: 37233847 DOI: 10.1007/s10388-023-01010-2] [Citation(s) in RCA: 5] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/16/2022] [Accepted: 04/25/2023] [Indexed: 05/27/2023]
Abstract
BACKGROUND Opportunities for T4b esophageal cancer patients to receive curative surgery are increasing with the development of multidisciplinary treatments. However, the best modality to accurately diagnose infiltration to the organs surrounding T4b esophageal cancer is still unknown. The aim of this study was to determine the performance of CT and MRI in diagnosing T stage in T4b esophageal cancer, with reference to the pathological diagnosis. METHODS A retrospective medical records review of patients with T4b esophageal cancer patients from January 2017 to December 2021 was conducted. Among 125 patients who were treated for cT4b esophageal cancer in Osaka University Hospital, 30 patients were diagnosed with cT4b esophageal cancer by CT, ycT staging with CT (contrast-enhanced images) and MRI (T2-FSE images), and curative R0 resection was performed. Preoperative MRI staging was independently performed by two experienced radiologists. The diagnostic performance of CT and MRI were examined using McNemar's test. RESULTS Nineteen and 12 patients were diagnosed with ycT4b by CT and MRI, respectively. Combined T4b organ resection was performed in 15 patients. A pathological diagnosis of ypT4b was made in 11 cases. In comparison to CT, MRI showed a higher diagnostic performance, specificity (47% vs. 89%, p = 0.013), and accuracy (60% vs. 90%, p = 0.015) for CT vs. MRI. CONCLUSIONS Our results-with reference to the pathological diagnosis-revealed that MRI had a superior diagnostic performance to CT for diagnosing T4b esophageal cancer invading the surrounding organs. An accurate diagnosis of T4b esophageal cancer may facilitate the implementation of appropriate treatment strategies.
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Affiliation(s)
- Takashi Harino
- Department of Gastroenterological Surgery, Graduate School of Medicine, Osaka University, Osaka, Japan
| | - Makoto Yamasaki
- Department of Surgery, Kansai Medical University, 2-5-1, Shin-machi, Hirakata, Osaka, 573-1010, Japan.
| | - Sachiko Murai
- Department of Radiology, Saito Yukokai Hospital, Osaka, Japan
| | - Kotaro Yamashita
- Department of Gastroenterological Surgery, Graduate School of Medicine, Osaka University, Osaka, Japan
| | - Koji Tanaka
- Department of Gastroenterological Surgery, Graduate School of Medicine, Osaka University, Osaka, Japan
| | - Tomoki Makino
- Department of Gastroenterological Surgery, Graduate School of Medicine, Osaka University, Osaka, Japan
| | - Takuro Saito
- Department of Gastroenterological Surgery, Graduate School of Medicine, Osaka University, Osaka, Japan
| | - Kazuyoshi Yamamoto
- Department of Gastroenterological Surgery, Graduate School of Medicine, Osaka University, Osaka, Japan
| | - Tsuyoshi Takahashi
- Department of Gastroenterological Surgery, Graduate School of Medicine, Osaka University, Osaka, Japan
| | - Yukinori Kurokawa
- Department of Gastroenterological Surgery, Graduate School of Medicine, Osaka University, Osaka, Japan
| | - Kiyokazu Nakajima
- Department of Gastroenterological Surgery, Graduate School of Medicine, Osaka University, Osaka, Japan
| | - Noriyuki Tomiyama
- Department of Radiology, Graduate School of Medicine, Osaka University, Osaka, Japan
| | - Hidetoshi Eguchi
- Department of Gastroenterological Surgery, Graduate School of Medicine, Osaka University, Osaka, Japan
| | | | - Yuichiro Doki
- Department of Gastroenterological Surgery, Graduate School of Medicine, Osaka University, Osaka, Japan
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Haefliger L, Jreige M, Du Pasquier C, Ledoux JB, Wagner D, Mantziari S, Shäfer M, Vietti Violi N, Dromain C. Esophageal cancer T-staging on MRI: A preliminary study using cine and static MR sequences. Eur J Radiol 2023; 166:111001. [PMID: 37516096 DOI: 10.1016/j.ejrad.2023.111001] [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: 06/08/2023] [Revised: 07/07/2023] [Accepted: 07/19/2023] [Indexed: 07/31/2023]
Abstract
OBJECTIVES To evaluate the added value of cine MR in addition to static MRI for T-Staging assessment of esophageal cancer (EC). MATERIALS AND METHODS This prospective monocentric study included 54 patients (mean age 66.3 ± 9.4 years, 46 men) with histologically proven EC. They underwent MRI on a 3 T-scanner in addition to the standard workup. Acquisitions included static and cine sequences (steady-state-free-precession and real-time True-FISP during water ingestion). Three radiologists independently assessed T-staging and diagnosis confidence by reviewing (1) static sequences (S-MRI) and (2) adding cine sequences (SC-MRI). Inter-reader agreement was performed. MRI T-staging was correlated to reference standard T-staging (histopathology or consensus on endoscopic ultrasonography and imaging findings) and to clinical outcome by log-rank test. RESULTS Both S-MRI and SC-MRI T-staging showed a significant correlation with reference T-staging (rs = 0.667, P < 0.001). SC-MRI showed a slightly better performance in distinguishing T1-T3 from T4 with a sensitivity, specificity and AUC of 76.5% (95% CI: 50.1-93.2), 83.8% (68-93.8) and 0.801 (0.681-0.921) vs 70.6% (44-89.7), 83% (68-93.8) and 0.772 (0.645-0.899) for S-MRI. Compared to S-MRI, SC-MRI increased inter-reader agreement for T4a and T4b (κ = 0.403 and 0.498) and T-staging confidence. CONCLUSION MRI is accurate for T-staging of EC. The addition of cine sequences allows better differentiation between T1-T3 and T4 tumors with increased diagnostic confidence and inter-reader agreement.
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Affiliation(s)
- Laura Haefliger
- Department of Diagnostic and Interventional Radiology, Lausanne University Hospital and University of Lausanne, Rue du Bugnon 46, CH-1011 Lausanne, Switzerland
| | - Mario Jreige
- Department of Diagnostic and Interventional Radiology, Lausanne University Hospital and University of Lausanne, Rue du Bugnon 46, CH-1011 Lausanne, Switzerland
| | - Céline Du Pasquier
- Department of Diagnostic and Interventional Radiology, Lausanne University Hospital and University of Lausanne, Rue du Bugnon 46, CH-1011 Lausanne, Switzerland
| | - Jean-Baptiste Ledoux
- Department of Diagnostic and Interventional Radiology, Lausanne University Hospital and University of Lausanne, Rue du Bugnon 46, CH-1011 Lausanne, Switzerland
| | - Dorothea Wagner
- Department of Oncology, Lausanne University Hospital and University of Lausanne, Rue du Bugnon 46, CH-1011 Lausanne, Switzerland
| | - Styliani Mantziari
- Department of Surgery, Lausanne University Hospital and University of Lausanne, Rue du Bugnon 46, CH-1011 Lausanne, Switzerland
| | - Markus Shäfer
- Department of Surgery, Lausanne University Hospital and University of Lausanne, Rue du Bugnon 46, CH-1011 Lausanne, Switzerland
| | - Naïk Vietti Violi
- Department of Diagnostic and Interventional Radiology, Lausanne University Hospital and University of Lausanne, Rue du Bugnon 46, CH-1011 Lausanne, Switzerland
| | - Clarisse Dromain
- Department of Diagnostic and Interventional Radiology, Lausanne University Hospital and University of Lausanne, Rue du Bugnon 46, CH-1011 Lausanne, Switzerland.
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Cheng F, Liu Y, Du L, Wang L, Li L, Shi J, Wang X, Zhang J. Evaluation of optimal monoenergetic images acquired by dual-energy CT in the diagnosis of T staging of thoracic esophageal cancer. Insights Imaging 2023; 14:33. [PMID: 36763193 PMCID: PMC9918671 DOI: 10.1186/s13244-023-01381-1] [Citation(s) in RCA: 5] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/23/2022] [Accepted: 01/29/2023] [Indexed: 02/11/2023] Open
Abstract
OBJECTIVES The purpose of our study was to objectively and subjectively assess optimal monoenergetic image (MEI (+)) characteristics from dual-energy CT (DECT) and the diagnostic performance for the T staging in patients with thoracic esophageal cancer (EC). METHODS In this retrospective study, patients with histopathologically confirmed EC who underwent DECT from September 2019 to December 2020 were enrolled. One standard polyenergetic image (PEI) and five MEI (+) were reconstructed. Two readers independently assessed the lesion conspicuity subjectively and calculated the contrast-to-noise ratio (CNR) and the signal-to-noise ratio (SNR) of EC. Two readers independently assessed the T stage on the optimal MEI (+) and PEI subjectively. Multiple quantitative parameters were measured to assess the diagnostic performance to identify T1-2 from T3-4 in EC patients. RESULTS The study included 68 patients. Subjectively, primary tumor delineation received the highest ratings in MEI (+) 40 keV of the venous phase. Objectively, MEI (+) images showed significantly higher SNR compared with PEI (p < 0.05), peaking at MEI (+) 40 keV in the venous phase. CNR of tumor (MEI (+) 40 keV -80 keV) was all significantly higher than PEI in arterial and venous phases (p < 0.05), peaking at MEI (+) 40 keV in venous phases. The agreement between MEI (+) 40 keV and pathologic T categories was 81.63% (40/49). Rho values in venous phases had excellent diagnostic efficiency for identifying T1-2 from T3-4 (AUC = 0.84). CONCLUSIONS MEI (+) reconstructions at low keV in the venous phase improved the assessment of lesion conspicuity and also have great potential for preoperative assessment of T staging in patients with EC.
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Affiliation(s)
- Fanrong Cheng
- grid.190737.b0000 0001 0154 0904Department of Radiology, Chongqing Key Laboratory for Intelligent Oncology in Breast Cancer (iCQBC), Chongqing University Cancer Hospital, Chongqing, 400030 China ,People’s Hospital of Rongchang District, Chongqing, 402460 China
| | - Yan Liu
- grid.190737.b0000 0001 0154 0904Department of Radiology, Chongqing Key Laboratory for Intelligent Oncology in Breast Cancer (iCQBC), Chongqing University Cancer Hospital, Chongqing, 400030 China
| | - Lihong Du
- grid.190737.b0000 0001 0154 0904Department of Radiology, Chongqing Key Laboratory for Intelligent Oncology in Breast Cancer (iCQBC), Chongqing University Cancer Hospital, Chongqing, 400030 China
| | - Lei Wang
- grid.190737.b0000 0001 0154 0904Department of Radiology, Chongqing Key Laboratory for Intelligent Oncology in Breast Cancer (iCQBC), Chongqing University Cancer Hospital, Chongqing, 400030 China
| | - Lan Li
- grid.190737.b0000 0001 0154 0904Department of Radiology, Chongqing Key Laboratory for Intelligent Oncology in Breast Cancer (iCQBC), Chongqing University Cancer Hospital, Chongqing, 400030 China
| | - Jinfang Shi
- grid.190737.b0000 0001 0154 0904Department of Radiology, Chongqing Key Laboratory for Intelligent Oncology in Breast Cancer (iCQBC), Chongqing University Cancer Hospital, Chongqing, 400030 China
| | - Xiaoxia Wang
- Department of Radiology, Chongqing Key Laboratory for Intelligent Oncology in Breast Cancer (iCQBC), Chongqing University Cancer Hospital, Chongqing, 400030, China.
| | - Jiuquan Zhang
- Department of Radiology, Chongqing Key Laboratory for Intelligent Oncology in Breast Cancer (iCQBC), Chongqing University Cancer Hospital, Chongqing, 400030, China.
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9
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Aorta and tracheobronchial invasion in esophageal cancer: comparing diagnostic performance of 3.0-T MRI and CT. Eur Radiol 2023:10.1007/s00330-023-09425-2. [PMID: 36692595 DOI: 10.1007/s00330-023-09425-2] [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: 08/09/2022] [Revised: 12/11/2022] [Accepted: 01/02/2023] [Indexed: 01/25/2023]
Abstract
OBJECTIVES To compare between the diagnostic performance of 3.0-T MRI and CT for aorta and tracheobronchial invasion in patients with esophageal cancer (EC). METHODS We prospectively included patients with pathologically confirmed EC from November 2018 to June 2021, who had baseline stage of T3-4N0-2M0 and restaging after neoadjuvant chemotherapy. All patients underwent contrast-enhanced CT and MRI of the thorax. Two independent blinded radiologists scored image quality and the presence of invasion. Agreements between the two readers were calculated using kappa test. The sensitivity, specificity, accuracy, positive predict value (PPV), and negative predict value (NPV) of MRI and CT in evaluating invasion were calculated. The net reclassification index (NRI) was used to evaluate the change in the number of patients correctly classified by MRI and CT. RESULTS A total of 70 patients (64.8 ± 9.0 years; 53 men) were enrolled. Inter-reader agreements of image quality scores and presence of invasion by MRI and CT between the two readers were almost perfect (kappa > 0.80). The accuracy of MRI in evaluating thoracic aorta invasion was significantly higher than that of CT (reader 1: 90.0% vs. 71.4%; reader 2: 92.9% vs. 70.0%, respectively), and the accuracy of MRI in evaluating tracheobronchial invasion also was significantly higher than that of CT (reader 1: 92.9% vs. 72.9%; reader 2: 95.7% vs. 70.0%, respectively). NRI values were positive in both the evaluation of aorta and tracheobronchial invasion. CONCLUSIONS The accuracy of 3-T MRI in determining thoracic aorta and tracheobronchial invasion is significantly higher than that of CT. KEY POINTS • 3.0-T MRI was significantly more accurate than CT in assessing invasion of the thoracic aorta in patients with esophageal cancer. • 3.0-T MRI was also significantly more accurate than CT in assessing tracheobronchial invasion in patients with esophageal cancer. • 3.0-T MRI has a higher diagnostic performance than CT in evaluating patients with suspected aortic or tracheobronchial invasion in esophageal cancer.
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10
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Raptis CA, Goldstein A, Henry TS, Porter KK, Catenacci D, Kelly AM, Kuzniewski CT, Lai AR, Lee E, Long JM, Martin MD, Morris MF, Sandler KL, Sirajuddin A, Surasi DS, Wallace GW, Kamel IR, Donnelly EF. ACR Appropriateness Criteria® Staging and Follow-Up of Esophageal Cancer. J Am Coll Radiol 2022; 19:S462-S472. [PMID: 36436970 DOI: 10.1016/j.jacr.2022.09.008] [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: 08/30/2022] [Accepted: 09/01/2022] [Indexed: 11/27/2022]
Abstract
This document provides recommendations regarding the role of imaging in the staging and follow-up of esophageal cancer. For initial clinical staging, locoregional extent and nodal disease are typically assessed with esophagogastroduodenoscopy and esophageal ultrasound. FDG-PET/CT or CT of the chest and abdomen is usually appropriate for use in initial clinical staging as they provide additional information regarding distant nodal and metastatic disease. The detection of metastatic disease is critical in the initial evaluation of patients with esophageal cancer because it will direct patients to a treatment pathway centered on palliative radiation rather than surgery. For imaging during treatment, particularly neoadjuvant chemotherapy, FDG-PET/CT is usually appropriate, because some studies have found that it can provide information regarding primary lesion response, but more importantly it can be used to detect metastases that have developed since the induction of treatment. For patients who have completed treatment, FDG-PET/CT or CT of the chest and abdomen is usually appropriate for evaluating the presence and extent of metastases in patients with no suspected or known recurrence and in those with a suspected or known recurrence. The ACR Appropriateness Criteria are evidence-based guidelines for specific clinical conditions that are reviewed annually by a multidisciplinary expert panel. The guideline development and revision process support the systematic analysis of the medical literature from peer reviewed journals. Established methodology principles such as Grading of Recommendations Assessment, Development, and Evaluation or GRADE are adapted to evaluate the evidence. The RAND/UCLA Appropriateness Method User Manual provides the methodology to determine the appropriateness of imaging and treatment procedures for specific clinical scenarios. In those instances where peer reviewed literature is lacking or equivocal, experts may be the primary evidentiary source available to formulate a recommendation.
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Affiliation(s)
| | - Alan Goldstein
- Division Chief, Abdominal Imaging, Director of CT Colonography, UMass Medical School, Worcester, Massachusetts
| | - Travis S Henry
- Panel Chair; Division Chief of Cardiothoracic Imaging, Duke University, Durham, North Carolina; Co-Director, ACR Education Center HRCT Course
| | - Kristin K Porter
- Panel Chair, University of Alabama Medical Center, Birmingham, Alabama; ACR Council Steering Committee
| | - Daniel Catenacci
- The University of Chicago, Chicago, Illinois; American Society of Clinical Oncology
| | - Aine Marie Kelly
- Assistant Program Director Radiology Residency, Emory University Hospital, Atlanta, Georgia
| | | | - Andrew R Lai
- Hospitalist; University of California San Francisco (UCSF), San Francisco, California; Former Director of the UCSF Hospitalist Procedure Service; Former Director of the UCSF Division of Hospital Medicine's Case Review Committee; Former Director of Procedures/Quality Improvement Rotation for the UCSF Internal Medicine Residency
| | - Elizabeth Lee
- Director, M1 Radiology Education, University of Michigan Medical School; Associate Program Director, Diagnostic Radiology, Michigan Medicine; Director of Residency Education Cardiothoracic Division, Michigan Medicine, University of Michigan Health System, Ann Arbor, Michigan
| | - Jason M Long
- Director of Robotic Thoracic Surgery, Director of Lung Cancer Screening, University of North Carolina Hospital, Chapel Hill, North Carolina; The Society of Thoracic Surgeons
| | - Maria D Martin
- Director, Diversity and Inclusion, Department of Radiology, University of Wisconsin School of Medicine and Public Health, Madison, Wisconsin
| | - Michael F Morris
- Director of Cardiac CT and MRI, University of Arizona College of Medicine, Phoenix, Arizona
| | - Kim L Sandler
- Co-Director Vanderbilt Lung Screening Program, Vanderbilt University Medical Center, Nashville, Tennessee; Imaging Chair, Thoracic Committee, ECOG-ACRIN; Co-Chair, Lung Screening 2.0 Steering Committee
| | | | - Devaki Shilpa Surasi
- Patient Safety and Quality Officer, Department of Nuclear Medicine, Chair-Elect, Junior Faculty Committee, The University of Texas MD Anderson Cancer Center, Houston, Texas; Commission on Nuclear Medicine and Molecular Imaging
| | | | - Ihab R Kamel
- Specialty Chair, Johns Hopkins University School of Medicine, Baltimore, Maryland
| | - Edwin F Donnelly
- Specialty Chair; Chief of Thoracic Radiology, Interim Vice Chair of Academic Affairs, Department of Radiology, Ohio State University Wexner Medical Center, Columbus, Ohio
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11
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Abstract
Esophageal cancer is the sixth most common cause of cancer related mortality worldwide. Advances in treatment have translated into steadily improving survival rates. Accurate preoperative staging of esophageal cancer is imperative in order to provide an accurate prognosis and direct patients to the most appropriate treatment. Current preoperative staging relies on imaging, most commonly endoscopic ultrasound (EUS), computed tomography (CT) and positron emission tomography (PET). A combination of these modalities should be used in preoperative staging, as each has advantages over another. Magnetic resonance imaging (MRI) has always shown promise in its ability to accurately stage esophageal cancer, though it has not been consistently adopted as a common tool for this purpose. Recent research has demonstrated that MRI can become an integral part of esophageal cancer clinical staging. Advances in MR technology that utilize radial sampling allow for shorter, free breathing techniques without degradation of image quality, resulting in improved capability for T and N staging of esophageal cancer. MRI enhanced with superparamagnetic iron oxide (SPIO) and ultrasmall SPIO (USPIO) nanoparticles has been shown to be useful for the detection of metastatic disease in lymph nodes. This article will review the current evidence in the role that imaging plays in staging esophageal cancer.
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Affiliation(s)
- Eric J Schmidlin
- Department of Radiology, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA
| | - Ritu R Gill
- Department of Radiology, Beth Israel Deaconness Medical Center, Harvard Medical School, Boston, MA, USA
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12
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Lee SL, Yadav P, Starekova J, Christensen L, Chandereng T, Chappell R, Reeder SB, Bassetti MF. Diagnostic Performance of MRI for Esophageal Carcinoma: A Systematic Review and Meta-Analysis. Radiology 2021; 299:583-594. [PMID: 33787334 DOI: 10.1148/radiol.2021202857] [Citation(s) in RCA: 24] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/01/2023]
Abstract
Background Although CT, endoscopic US, and PET are critical in determining the appropriate management of esophageal carcinoma (squamous cell carcinoma and adenocarcinoma), previous reports show that staging accuracy remains low, particularly for nodal involvement sensitivity. Purpose To perform a systematic review and meta-analysis to determine the diagnostic performance of MRI for multiple staging thresholds in patients with biopsy-proven esophageal carcinoma (differentiation of stage T0 disease from stage T1 or higher disease, differentiation of stage T2 or lower disease from stage T3 or higher disease, and differentiation of stage N0 disease from stage N1 or higher disease [where T refers to tumor stage and N refers to nodal stage]). Materials and Methods Studies of the diagnostic performance of MRI in determining the stage of esophageal carcinoma in patients before esophagectomy and pathologic staging between 2000 and 2019 were searched in PubMed, Scopus, Web of Science, and Cochrane Library by a librarian and radiation oncologist. Pooled diagnostic performance of MRI was calculated with a bivariate random effects model. Bias was assessed using the Quality Assessment of Diagnostic Accuracy Studies (version 2) tool. Results Twenty studies with a total of 984 patients were included in the analysis. Pooled accuracy for stage T0 versus stage T1 or higher had a sensitivity of 92% (95% CI: 82, 96) and a specificity of 67% (95% CI: 51, 81). Pooled accuracy for stage T2 or lower versus stage T3 or higher had a sensitivity of 86% (95% CI: 76, 92) and a specificity of 86% (95% CI: 75, 93). Pooled accuracy for stage N0 versus stage N1 or higher had a sensitivity of 71% (95% CI: 60, 80) and a specificity of 72% (95% CI: 64, 79). The concern for applicability was low for the patient selection, index test, and reference test domains, except for 10% of studies (two of 20) that had unclear concern for patient selection applicability. Conclusion MRI has high sensitivity but low specificity for the detection of esophageal carcinoma, which shows promise for determining neoadjuvant therapy response and for detecting locally advanced disease for potential trimodality therapy. © RSNA, 2021 Online supplemental material is available for this article. See also the editorial by Leeflang in this issue.
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Affiliation(s)
- Sangjune Laurence Lee
- From the Department of Oncology, Division of Radiation Oncology, University of Calgary, 1331 29 St NW, Calgary, AB, Canada T2N 4N2 (S.L.L.); Department of Human Oncology, University of Wisconsin Hospital and Clinics, Madison, Wis (S.L.L., P.Y., M.F.B.); Department of Radiology, University of Wisconsin-Madison, Madison, Wis (J.S., S.B.R.); Departments of Medical Physics, Biomedical Engineering, Medicine, and Emergency Medicine, University of Wisconsin-Madison, Madison, Wis (S.B.R); University of Wisconsin School of Medicine and Public Health, Madison, Wis (L.C.); Department of Statistics and Department of Biostatistics and Medical Informatics, University of Wisconsin-Madison, Madison, Wis (T.C., R.C.)
| | - Poonam Yadav
- From the Department of Oncology, Division of Radiation Oncology, University of Calgary, 1331 29 St NW, Calgary, AB, Canada T2N 4N2 (S.L.L.); Department of Human Oncology, University of Wisconsin Hospital and Clinics, Madison, Wis (S.L.L., P.Y., M.F.B.); Department of Radiology, University of Wisconsin-Madison, Madison, Wis (J.S., S.B.R.); Departments of Medical Physics, Biomedical Engineering, Medicine, and Emergency Medicine, University of Wisconsin-Madison, Madison, Wis (S.B.R); University of Wisconsin School of Medicine and Public Health, Madison, Wis (L.C.); Department of Statistics and Department of Biostatistics and Medical Informatics, University of Wisconsin-Madison, Madison, Wis (T.C., R.C.)
| | - Jitka Starekova
- From the Department of Oncology, Division of Radiation Oncology, University of Calgary, 1331 29 St NW, Calgary, AB, Canada T2N 4N2 (S.L.L.); Department of Human Oncology, University of Wisconsin Hospital and Clinics, Madison, Wis (S.L.L., P.Y., M.F.B.); Department of Radiology, University of Wisconsin-Madison, Madison, Wis (J.S., S.B.R.); Departments of Medical Physics, Biomedical Engineering, Medicine, and Emergency Medicine, University of Wisconsin-Madison, Madison, Wis (S.B.R); University of Wisconsin School of Medicine and Public Health, Madison, Wis (L.C.); Department of Statistics and Department of Biostatistics and Medical Informatics, University of Wisconsin-Madison, Madison, Wis (T.C., R.C.)
| | - Leslie Christensen
- From the Department of Oncology, Division of Radiation Oncology, University of Calgary, 1331 29 St NW, Calgary, AB, Canada T2N 4N2 (S.L.L.); Department of Human Oncology, University of Wisconsin Hospital and Clinics, Madison, Wis (S.L.L., P.Y., M.F.B.); Department of Radiology, University of Wisconsin-Madison, Madison, Wis (J.S., S.B.R.); Departments of Medical Physics, Biomedical Engineering, Medicine, and Emergency Medicine, University of Wisconsin-Madison, Madison, Wis (S.B.R); University of Wisconsin School of Medicine and Public Health, Madison, Wis (L.C.); Department of Statistics and Department of Biostatistics and Medical Informatics, University of Wisconsin-Madison, Madison, Wis (T.C., R.C.)
| | - Thevaa Chandereng
- From the Department of Oncology, Division of Radiation Oncology, University of Calgary, 1331 29 St NW, Calgary, AB, Canada T2N 4N2 (S.L.L.); Department of Human Oncology, University of Wisconsin Hospital and Clinics, Madison, Wis (S.L.L., P.Y., M.F.B.); Department of Radiology, University of Wisconsin-Madison, Madison, Wis (J.S., S.B.R.); Departments of Medical Physics, Biomedical Engineering, Medicine, and Emergency Medicine, University of Wisconsin-Madison, Madison, Wis (S.B.R); University of Wisconsin School of Medicine and Public Health, Madison, Wis (L.C.); Department of Statistics and Department of Biostatistics and Medical Informatics, University of Wisconsin-Madison, Madison, Wis (T.C., R.C.)
| | - Richard Chappell
- From the Department of Oncology, Division of Radiation Oncology, University of Calgary, 1331 29 St NW, Calgary, AB, Canada T2N 4N2 (S.L.L.); Department of Human Oncology, University of Wisconsin Hospital and Clinics, Madison, Wis (S.L.L., P.Y., M.F.B.); Department of Radiology, University of Wisconsin-Madison, Madison, Wis (J.S., S.B.R.); Departments of Medical Physics, Biomedical Engineering, Medicine, and Emergency Medicine, University of Wisconsin-Madison, Madison, Wis (S.B.R); University of Wisconsin School of Medicine and Public Health, Madison, Wis (L.C.); Department of Statistics and Department of Biostatistics and Medical Informatics, University of Wisconsin-Madison, Madison, Wis (T.C., R.C.)
| | - Scott B Reeder
- From the Department of Oncology, Division of Radiation Oncology, University of Calgary, 1331 29 St NW, Calgary, AB, Canada T2N 4N2 (S.L.L.); Department of Human Oncology, University of Wisconsin Hospital and Clinics, Madison, Wis (S.L.L., P.Y., M.F.B.); Department of Radiology, University of Wisconsin-Madison, Madison, Wis (J.S., S.B.R.); Departments of Medical Physics, Biomedical Engineering, Medicine, and Emergency Medicine, University of Wisconsin-Madison, Madison, Wis (S.B.R); University of Wisconsin School of Medicine and Public Health, Madison, Wis (L.C.); Department of Statistics and Department of Biostatistics and Medical Informatics, University of Wisconsin-Madison, Madison, Wis (T.C., R.C.)
| | - Michael F Bassetti
- From the Department of Oncology, Division of Radiation Oncology, University of Calgary, 1331 29 St NW, Calgary, AB, Canada T2N 4N2 (S.L.L.); Department of Human Oncology, University of Wisconsin Hospital and Clinics, Madison, Wis (S.L.L., P.Y., M.F.B.); Department of Radiology, University of Wisconsin-Madison, Madison, Wis (J.S., S.B.R.); Departments of Medical Physics, Biomedical Engineering, Medicine, and Emergency Medicine, University of Wisconsin-Madison, Madison, Wis (S.B.R); University of Wisconsin School of Medicine and Public Health, Madison, Wis (L.C.); Department of Statistics and Department of Biostatistics and Medical Informatics, University of Wisconsin-Madison, Madison, Wis (T.C., R.C.)
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13
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Betancourt-Cuellar SL, Benveniste MFK, Palacio DP, Hofstetter WL. Esophageal Cancer: Tumor-Node-Metastasis Staging. Radiol Clin North Am 2021; 59:219-229. [PMID: 33551083 DOI: 10.1016/j.rcl.2020.11.008] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/01/2023]
Abstract
Esophageal cancer is an uncommon malignancy that ranks sixth in terms of mortality worldwide. Squamous cell carcinoma is the predominant histologic subtype worldwide whereas adenocarcinoma represents the majority of cases in North America, Australia, and Europe. Esophageal cancer is staged using the American Joint Committee on Cancer and the International Union for Cancer Control TNM system and has separate classifications for the clinical, pathologic, and postneoadjuvant pathologic stage groups. The determination of clinical TNM is based on complementary imaging modalities, including esophagogastroduodenoscopy/endoscopic ultrasound; endoscopic ultrasound-fine-needle aspiration; computed tomography of the chest, abdomen, and pelvis; and fluorodeoxyglucose PET/computed tomography.
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Affiliation(s)
- Sonia L Betancourt-Cuellar
- Thoracic Imaging Department, The University of Texas MD Anderson Cancer Center, 1515 Holcombe Boulevard, Unit 1478, Houston, TX 77030-4009, USA.
| | - Marcelo F K Benveniste
- Thoracic Imaging Department, The University of Texas MD Anderson Cancer Center, 1515 Holcombe Boulevard, Unit 1478, Houston, TX 77030-4009, USA
| | - Diana P Palacio
- Department of Medical Imaging, The University of Arizona - Banner Medical Center, 1501 North Campbell Avenue, PO BOX 245067, Tucson, AZ 85724, USA
| | - Wayne L Hofstetter
- Cardiothoracic Department, The University of Texas MD Anderson Cancer Center, 1515 Holcombe Boulevard, Unit 1489, Houston, TX 77030-4009, USA
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14
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Manning MA, Shafa S, Mehrotra AK, Grenier RE, Levy AD. Role of Multimodality Imaging in Gastroesophageal Reflux Disease and Its Complications, with Clinical and Pathologic Correlation. Radiographics 2021; 40:44-71. [PMID: 31917657 DOI: 10.1148/rg.2020190029] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/24/2022]
Abstract
Gastroesophageal reflux disease (GERD) is a common condition and impairs the quality of life for millions of patients, accounts for considerable health care spending, and is a primary risk factor for esophageal adenocarcinoma. There have been substantial advances in understanding the pathogenesis of GERD and its complications and much progress in diagnosis and management of GERD; however, these have not been comprehensively discussed in the recent radiology literature. Understanding the role of imaging in GERD and its complications is important to aid in multidisciplinary treatment of GERD. GERD results from prolonged or recurrent reflux of gastric contents into the esophagus. Common symptoms include heartburn or regurgitation. Prolonged reflux of gastric contents into the esophagus can cause erosive esophagitis. Over time, the inflammatory response related to esophagitis can lead to deposition of fibrous tissue and development of strictures. Alternatively, the esophageal mucosa can undergo metaplasia (Barrett esophagus), a precursor to dysplasia (which can lead to adenocarcinoma). Conventional barium esophagography has long been considered the primary imaging modality for the esophagus, and the fluoroscopic findings for diagnosis of GERD have been well established. Multimodality imaging has a clear role in detection and assessment of the complications of GERD, specifically reflux esophagitis and Barrett esophagus; differentiation of benign and malignant strictures; and detection, staging, and posttreatment surveillance of esophageal adenocarcinoma. Given the dramatic changes in utilization of abdominal imaging during the past 2 decades, with significantly declining volume of fluoroscopic procedures and concomitant increase in CT and MRI studies, it is crucial that modern radiologists appreciate the value of barium esophagography in the workup of GERD and recognize the key imaging features of GERD and its complications at CT and MRI.
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Affiliation(s)
- Maria A Manning
- From the American Institute for Radiologic Pathology, 1100 Wayne Ave, Suite 1020, Silver Spring, MD 20910 (M.A.M.); Department of Radiology (M.A.M., A.D.L.) and Division of Gastroenterology and Hepatology (S.S.), MedStar Georgetown University Hospital, Washington, DC; the Joint Pathology Center, Silver Spring, Md (A.K.M.); and Georgetown University School of Medicine, Washington, DC (R.E.G.)
| | - Shervin Shafa
- From the American Institute for Radiologic Pathology, 1100 Wayne Ave, Suite 1020, Silver Spring, MD 20910 (M.A.M.); Department of Radiology (M.A.M., A.D.L.) and Division of Gastroenterology and Hepatology (S.S.), MedStar Georgetown University Hospital, Washington, DC; the Joint Pathology Center, Silver Spring, Md (A.K.M.); and Georgetown University School of Medicine, Washington, DC (R.E.G.)
| | - Anupamjit K Mehrotra
- From the American Institute for Radiologic Pathology, 1100 Wayne Ave, Suite 1020, Silver Spring, MD 20910 (M.A.M.); Department of Radiology (M.A.M., A.D.L.) and Division of Gastroenterology and Hepatology (S.S.), MedStar Georgetown University Hospital, Washington, DC; the Joint Pathology Center, Silver Spring, Md (A.K.M.); and Georgetown University School of Medicine, Washington, DC (R.E.G.)
| | - Rachel E Grenier
- From the American Institute for Radiologic Pathology, 1100 Wayne Ave, Suite 1020, Silver Spring, MD 20910 (M.A.M.); Department of Radiology (M.A.M., A.D.L.) and Division of Gastroenterology and Hepatology (S.S.), MedStar Georgetown University Hospital, Washington, DC; the Joint Pathology Center, Silver Spring, Md (A.K.M.); and Georgetown University School of Medicine, Washington, DC (R.E.G.)
| | - Angela D Levy
- From the American Institute for Radiologic Pathology, 1100 Wayne Ave, Suite 1020, Silver Spring, MD 20910 (M.A.M.); Department of Radiology (M.A.M., A.D.L.) and Division of Gastroenterology and Hepatology (S.S.), MedStar Georgetown University Hospital, Washington, DC; the Joint Pathology Center, Silver Spring, Md (A.K.M.); and Georgetown University School of Medicine, Washington, DC (R.E.G.)
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15
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Li H, Li F, Li J, Zhu Y, Zhang Y, Guo Y, Xu M, Shao Q, Liu X. Comparison of gross target volumes based on four-dimensional CT, positron emission tomography-computed tomography, and magnetic resonance imaging in thoracic esophageal cancer. Cancer Med 2020; 9:5353-5361. [PMID: 32510183 PMCID: PMC7402825 DOI: 10.1002/cam4.3072] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/22/2020] [Revised: 04/01/2020] [Accepted: 04/02/2020] [Indexed: 12/24/2022] Open
Abstract
PURPOSE The application value of 18 F-FDG PET-CT combined with MRI in the radiotherapy of esophageal carcinoma was discussed by comparing the differences in position, volume, and the length of GTVs delineated on the end-expiration (EE) phase of 4DCT, 18 F-FDG PET-CT, and T2 W-MRI. METHODS A total of 26 patients with thoracic esophageal cancer sequentially performed 3DCT, 4DCT, 18 F-FDG PET-CT, and MRI simulation for thoracic localization. All images were fused with the 3DCT images by deformable registration. GTVCT and GTV50% were delineated on 3DCT and the EE phase of 4DCT images, respectively. The GTV based on PET-CT images was determined by thresholds of SUV ≥ 2.5 and designated as GTVPET2.5 . The images of T2 -weighted sequence and diffusion-weighted sequence were referred as GTVMRI and GTVDWI , respectively. The length of the abnormality seen on the 4DCT, PET-CT, and DWI was compared. RESULTS GTVPET2.5 was significantly larger than GTV50% and GTVMRI (P = .000 and 0.008, respectively), and the volume of GTVMRI was similar to that of GTV50% (P = .439). Significant differences were observed between the CI of GTVMRI to GTV50% and GTVPET2.5 to GTV50% (P = .004). The CI of GTVMRI to GTVCT and GTVPET2.5 to GTVCT were statistically significant (P = .039). The CI of GTVMRI to GTVPET2.5 was significantly lower than that of GTVMRI to GTV50% , GTVMRI to GTVCT , GTVPET2.5 to GTV50% , and GTVPET2.5 to GTVCT (P = .000-0.021). Tumor length measurements by endoscopy were similar to the tumor length as measured by PET and DWI scan (P > .05), and there was no significant difference between the longitudinal length of GTVPET2.5 and GTVDWI (P = .072). CONCLUSION The volumes of GTVMRI and GTV50% were similar. However, GTVMRI has different volumes and poor spatial matching compared with GTVPET2.5 .The MRI imaging could not include entire respiration. It may be a good choice to guide target delineation and construction of esophageal carcinoma by combining 4DCT with MRI imaging. Utilization of DWI in treatment planning for esophageal cancer may provide further information to assist with target delineation. Further studies are needed to determine if this technology will translate into meaningful differences in clinical outcome.
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Affiliation(s)
- Huimin Li
- Weifang Medical University, Weifang, China
| | - Fengxiang Li
- Department of Radiation Oncology, Shandong Cancer Hospital and Institute, Shandong First Medical University and Shandong Academy of Medical Sciences, Jinan, China.,Cheeloo College of Medicine, Shandong University, Jinan, China
| | - Jianbin Li
- Department of Radiation Oncology, Shandong Cancer Hospital and Institute, Shandong First Medical University and Shandong Academy of Medical Sciences, Jinan, China
| | - Youzhe Zhu
- School of Medicine and Life Sciences, University of Jinan, Shandong Academy of Medical Sciences, Jinan, China
| | - Yingjie Zhang
- Department of Radiation Oncology, Shandong Cancer Hospital and Institute, Shandong First Medical University and Shandong Academy of Medical Sciences, Jinan, China
| | - Yanluan Guo
- Department of PET-CT, Shandong Cancer Hospital and Institute, Shandong First Medical University and Shandong Academy of Medical Sciences, Jinan, China
| | - Min Xu
- Department of Radiation Oncology, Shandong Cancer Hospital and Institute, Shandong First Medical University and Shandong Academy of Medical Sciences, Jinan, China
| | - Qian Shao
- Department of Radiation Oncology, Shandong Cancer Hospital and Institute, Shandong First Medical University and Shandong Academy of Medical Sciences, Jinan, China
| | - Xijun Liu
- Department of Radiation Oncology, Shandong Cancer Hospital and Institute, Shandong First Medical University and Shandong Academy of Medical Sciences, Jinan, China
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Yuan Y, Chen L, Ren S, Wang Z, Chen Y, Jin A, Li S, Fang X, Wang T, Bian Y, Yang Q, Bai C, Hao Q, Lu J. Diagnostic performance in T staging for patients with esophagogastric junction cancer using high-resolution MRI: a comparison with conventional MRI at 3 tesla. Cancer Imaging 2019; 19:83. [PMID: 31801587 PMCID: PMC6894201 DOI: 10.1186/s40644-019-0269-6] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/25/2019] [Accepted: 11/22/2019] [Indexed: 12/20/2022] Open
Abstract
BACKGROUND To investigate and compare the diagnostic performance in T staging for patients with esophagogastric junction cancer using high-resolution magnetic resonance imaging (HR MRI), as compared with conventional MRI at 3 Tesla. METHODS A total of 118 patients with pathologically confirmed esophagogastric junction cancer were included and underwent multiparameter HR MRI (Cohort 1, 62 patients) or conventional MRI (Cohort 2, 56 patients). T2-weighted, T1-weighted, diffusion-weighted and contrast-enhanced T1-weighted images of each patient were evaluated by two radiologists who determined the preoperative T staging by consensus. Using pathologic staging as the gold standard, the consistency between HR MRI and pathology and between conventional MRI and pathology in T staging was calculated and compared. The overall accuracy, overstatement and understatement of HR MRI and conventional MRI in T staging of patients with esophagogastric junction cancer were computed and compared. Moreover, the diagnostic performance of HR MRI and conventional MRI in T staging (≤ T1 and ≥ T4) of patients with esophagogastric junction cancer were evaluated. RESULTS There were no significant differences in age (p = 0.465) and sex (p = 0.175) between Cohorts 1 and 2. Excellent agreement was observed in the T staging of patients with esophagogastric junction cancer between pathology and HR MRI (kappa = 0.813), while moderate agreement was observed between pathology and conventional MRI (kappa = 0.486). Significant differences were observed in overall accuracy (88.7% vs 64.3%, p = 0.002) and understatement (1.6% vs 26.8%, p < 0.001) but not for overstatement (9.7% vs 8.9%, p = 0.889) in T staging between HR MRI and conventional MRI techniques. For differentiating the T stages of ≤ T1 from ≥ T2 and the T stages of ≤ T3 from ≥ T4, no significant differences were observed between the imaging techniques. CONCLUSIONS HR MRI has good diagnostic performance and may serve as an alternative technique in the T staging of patients with esophagogastric junction cancer in clinical practice.
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Affiliation(s)
- Yuan Yuan
- Department of Radiology, Changhai Hospital of Shanghai, Second Military Medical University, No.168 Changhai Road, Shanghai, 200433 China
| | - Luguang Chen
- Department of Radiology, Changhai Hospital of Shanghai, Second Military Medical University, No.168 Changhai Road, Shanghai, 200433 China
| | - Shengnan Ren
- Department of Nuclear medicine, Changhai Hospital of Shanghai, Shanghai, China
| | - Zhen Wang
- Department of Radiology, Changhai Hospital of Shanghai, Second Military Medical University, No.168 Changhai Road, Shanghai, 200433 China
| | - Yukun Chen
- Department of Radiology, Changhai Hospital of Shanghai, Second Military Medical University, No.168 Changhai Road, Shanghai, 200433 China
| | - Aiguo Jin
- Department of Radiology, Changhai Hospital of Shanghai, Second Military Medical University, No.168 Changhai Road, Shanghai, 200433 China
| | - Shuai Li
- Department of Radiology, Changhai Hospital of Shanghai, Second Military Medical University, No.168 Changhai Road, Shanghai, 200433 China
| | - Xu Fang
- Department of Radiology, Changhai Hospital of Shanghai, Second Military Medical University, No.168 Changhai Road, Shanghai, 200433 China
| | - Tiegong Wang
- Department of Radiology, Changhai Hospital of Shanghai, Second Military Medical University, No.168 Changhai Road, Shanghai, 200433 China
| | - Yun Bian
- Department of Radiology, Changhai Hospital of Shanghai, Second Military Medical University, No.168 Changhai Road, Shanghai, 200433 China
| | - Qingsong Yang
- Department of Radiology, Changhai Hospital of Shanghai, Second Military Medical University, No.168 Changhai Road, Shanghai, 200433 China
| | - Chenguang Bai
- Department of Pathology, Changhai Hospital of Shanghai, Shanghai, China
| | - Qiang Hao
- Department of Radiology, Changhai Hospital of Shanghai, Second Military Medical University, No.168 Changhai Road, Shanghai, 200433 China
| | - Jianping Lu
- Department of Radiology, Changhai Hospital of Shanghai, Second Military Medical University, No.168 Changhai Road, Shanghai, 200433 China
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