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Xue X, Yang Y, Xu X, Cai M, Shen H. Clinical characteristics and predictive factors of pathological lateral pelvic lymph node metastasis in patients with rectal cancer. Mol Clin Oncol 2025; 22:25. [PMID: 39885866 PMCID: PMC11775861 DOI: 10.3892/mco.2025.2820] [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: 03/02/2024] [Accepted: 12/06/2024] [Indexed: 02/01/2025] Open
Abstract
In recent years, selective lateral lymph node dissection (LLND) has been performed more frequently. The present study aimed to explore the clinical characteristics and predictive factors of pathological lateral pelvic lymph node metastasis (LPLNM), which may be helpful for pre-treatment decisions. The present study included 64 patients with rectal cancer and clinically suspected LPLNM who underwent total mesorectal excision (TME) and LLND between February 2019 and April 2024. According to pathological outcomes, the patients were divided into the negative LPLN (n=40) and positive LPLN (n=24) groups. The primary endpoints were the overall pathological LPLNM positivity rate and different clinical characteristics between the two groups. The secondary endpoint was the identification of predictive factors of pathological LPLNM before surgery. Among the 64 patients, 24 (37.5%) had pathologically confirmed LPLNM, and pathological LPLNM was related to initial lymph node size. When initial LPLN size was <7 mm, the pathological LPLNM rate was 10.5%, whereas when LPLN size was between 7 and 10 mm, the rate was 34.6%, and when LPLN size was >10 mm, the rate was 68.4%. Initial LPLN size (≥7.1 mm, P=0.003) and cN stage (N1-2, P=0.005) were significantly associated with pathological LPLNM. In multivariate analysis of risk factors, initial LPN size (≥7.1 mm; hazard ratio=4.856, 95% confidence interval 1.158-20.359, P=0.031) was the only independent risk factor for pathological LPLNM. When the cut-off initial LPLN size was 7.1 mm, the sensitivity and specificity were 87.5 and 52.5%, respectively, and the area under the curve was 0.748 (P=0.0009). When both LPLN size ≥7.1 mm and cN1-2 were satisfied, the sensitivity was 66.7%, the specificity increased to 77.5%, and the positive and negative predictive values were 64.0 and 79.5%, respectively. In conclusion, initial LPLN size and cN stage were identified as significant clinical characteristics associated with pathological LPLNM. Patients with an initial LPLN size of ≥7.1 mm and with cN1-2 stage cancer could benefit from TME + LLND surgery.
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Affiliation(s)
- Xiajuan Xue
- Department of Colorectal Surgery, Zhangzhou Municipal Hospital Affiliated of Fujian Medical University, Zhangzhou, Fujian 363000, P.R. China
| | - Yugang Yang
- Department of Colorectal Surgery, Zhangzhou Municipal Hospital Affiliated of Fujian Medical University, Zhangzhou, Fujian 363000, P.R. China
| | - Xiaozhen Xu
- Gynecology Department, Zhangzhou Municipal Hospital Affiliated of Fujian Medical University, Zhangzhou, Fujian 363000, P.R. China
| | - Mingzhi Cai
- Department of Colorectal Surgery, Zhangzhou Municipal Hospital Affiliated of Fujian Medical University, Zhangzhou, Fujian 363000, P.R. China
| | - Huiqun Shen
- Department of Medical Oncology, Zhangzhou Municipal Hospital Affiliated of Fujian Medical University, Zhangzhou, Fujian 363000, P.R. China
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Wen X, Sun H, Du S, Xia J, Zhang W, Zhang F. A nomogram of inflammatory indexes for preoperatively predicting the risk of lymph node metastasis in colorectal cancer. Tech Coloproctol 2024; 28:148. [PMID: 39495392 PMCID: PMC11534845 DOI: 10.1007/s10151-024-03010-5] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/17/2024] [Accepted: 08/30/2024] [Indexed: 11/05/2024]
Abstract
PURPOSE To investigate the independent risk factors associated with the development of lymph node metastasis (LNM) in patients with colorectal cancer (CRC), focusing on preoperative systemic inflammatory indicators, and to construct a corresponding risk predictive model. MATERIALS AND METHODS The clinical data of 241 patients with CRC who underwent surgery after the first diagnosis between January 2012 and December 2017 at our hospital were reviewed. A best logistic regression model was constructed by Lasso regression for multivariate analysis, from which a Nomogram was derived. Using bootstrap to conduct internal validation. The model's predictive performance and clinical practicability were evaluated using the receiver operating characteristic curve (ROC) curve, calibration curve, and decision curve analysis (DCA). External validation was conducted using retrospective data from 170 patients who underwent surgery between January 2020 and May 2022 at another hospital. RESULTS Cross-validation indicated smoking history, neutrophil-lymphocyte ratio (NLR), platelet-lymphocyte ratio (PLR), lymphocyte-monocyte ratio (LMR), fibrinogen-albumin ratio (FAR), and fecal occult blood (FOB) as variables with non-zero coefficients. These factors were included in the logistic regression, and multivariate analysis confirmed that smoking history, NLR, LMR, FAR, and FOB were independent risk factors (P < 0.05). The ROC and calibration curve of the original model and external validation indicated strong predictive power of the model. DCA suggested the model's favorable clinical utility. CONCLUSIONS The model constructed in this study has robust predictive performance and clinical utility for the preoperative determination of CRC LMN, offering significant for clinical decision-making in patients with CRC.
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Affiliation(s)
- Xuemei Wen
- Xinhua Clinical College, Dalian University, Dalian, China
| | - Haoran Sun
- Affiliated Zhongshan Hospital of Dalian University, Dalian, China
| | - Shijiang Du
- Xinhua Clinical College, Dalian University, Dalian, China
| | - Junkai Xia
- Xinhua Clinical College, Dalian University, Dalian, China
| | - Wenjun Zhang
- Department of Colorectal Surgery, Dalian University Affiliated Xinhua Hospital, Dalian, No. 156, Wansui Street, Shahekou District, Dalian City, 116021, Liaoning Province, China.
| | - Fujie Zhang
- Department of Colorectal Surgery, Dalian University Affiliated Xinhua Hospital, Dalian, No. 156, Wansui Street, Shahekou District, Dalian City, 116021, Liaoning Province, China.
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Rifu K, Koinuma K, Horie H, Mori K, Naoi D, Tojo M, Homma Y, Murahashi S, Kihara A, Mimura T, Kitayama J, Sata N. Successfully Resected Isolated Lateral Lymph Node Recurrence in a Patient with T1 Lower Rectal Cancer: Case Report and Literature Review. J Anus Rectum Colon 2024; 8:259-264. [PMID: 39086877 PMCID: PMC11286367 DOI: 10.23922/jarc.2024-003] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/22/2024] [Accepted: 04/11/2024] [Indexed: 08/02/2024] Open
Abstract
Lateral lymph node (LLN) metastasis in T1 rectal cancer has an incidence of less than 1%. However, its clinical features are largely uncharted. We report a case of LLN metastasis in T1 rectal cancer and review the relevant literature. A 56-year-old female underwent rectal resection for lower rectal cancer 2 years previously (pT1bN0M0). During follow-up, an elevated tumor marker CA19-9 was documented. Enhanced CT and MRI showed a round shape nodule 2 cm in size on the left side of pelvic wall. PET-CT showed high accumulation of FDG in the same lesion, leading to a diagnosis of isolated LLN recurrence. Because no other site of recurrence was detected, surgical resection of the LLN was performed. Microscopic findings were consistent with metastatic lymph node originating from the recent rectal cancer. Adjuvant chemotherapy for six months was given, and patient remains free of recurrent disease seven months after LLN resection. Although LLN recurrence after surgery for T1 rectal cancer is rare, post-surgical follow-up should not be omitted. When LLN metastasis is suspected on CT, MRI and/or PET-CT will be recommended. Surgical resection of LLN metastasis in patients with T1 rectal cancer may lead to favorable outcomes, when recurrence in other areas is not observed.
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Affiliation(s)
- Kazuma Rifu
- Department of Surgery, Division of Gastroenterological, General and Transplant Surgery, Jichi Medical University Hospital, Tochigi, Japan
| | - Koji Koinuma
- Department of Surgery, Division of Gastroenterological, General and Transplant Surgery, Jichi Medical University Hospital, Tochigi, Japan
| | - Hisanaga Horie
- Department of Surgery, Division of Gastroenterological, General and Transplant Surgery, Jichi Medical University Hospital, Tochigi, Japan
| | - Katsusuke Mori
- Department of Surgery, Division of Gastroenterological, General and Transplant Surgery, Jichi Medical University Hospital, Tochigi, Japan
| | - Daishi Naoi
- Department of Surgery, Division of Gastroenterological, General and Transplant Surgery, Jichi Medical University Hospital, Tochigi, Japan
| | - Mineyuki Tojo
- Department of Surgery, Division of Gastroenterological, General and Transplant Surgery, Jichi Medical University Hospital, Tochigi, Japan
| | - Yuko Homma
- Department of Surgery, Division of Gastroenterological, General and Transplant Surgery, Jichi Medical University Hospital, Tochigi, Japan
| | - Satoshi Murahashi
- Department of Surgery, Division of Gastroenterological, General and Transplant Surgery, Jichi Medical University Hospital, Tochigi, Japan
| | - Atsushi Kihara
- Department of Pathology, Jichi Medical University Hospital, Tochigi, Japan
| | - Toshiki Mimura
- Department of Surgery, Division of Gastroenterological, General and Transplant Surgery, Jichi Medical University Hospital, Tochigi, Japan
| | - Joji Kitayama
- Department of Surgery, Division of Gastroenterological, General and Transplant Surgery, Jichi Medical University Hospital, Tochigi, Japan
| | - Naohiro Sata
- Department of Surgery, Division of Gastroenterological, General and Transplant Surgery, Jichi Medical University Hospital, Tochigi, Japan
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Xiao T, Chen J, Liu Q. Management of internal iliac and obturator lymph nodes in mid-low rectal cancer. World J Surg Oncol 2024; 22:153. [PMID: 38863003 PMCID: PMC11167753 DOI: 10.1186/s12957-024-03427-0] [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: 05/07/2024] [Accepted: 05/27/2024] [Indexed: 06/13/2024] Open
Abstract
In rectal cancer treatment, the diagnosis and management of lateral pelvic lymph nodes (LLN) are critical for preventing local recurrence. Over time, scholars have reached a consensus: when imaging suggests LLN metastasis, combining neoadjuvant chemoradiotherapy (nCRT) with selective LLN dissection (LLND) can mitigate the risk of recurrence. Selective LLND typically encompasses lymph nodes in the internal iliac and obturator regions. Recent studies emphasize distinctions between internal iliac and obturator lymph nodes regarding prognosis and treatment outcomes, prompting the need for differentiated diagnostic and treatment approaches.
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Affiliation(s)
- Tixian Xiao
- Department of Colorectal Surgery, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, 100021, China
| | - Jianan Chen
- Fred & Pamela Buffett Cancer Center, University of Nebraska Medical Center, 68198, Omaha, Nebraska, USA
| | - Qian Liu
- Department of Colorectal Surgery, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, 100021, China.
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5
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Achilli P, Ferrari D, Calini G, Bertoglio CL, Magistro C, Origi M, Carnevali P, Alampi BD, Giusti I, Ferrari G, Calafiore E, Spinelli A, Grass F, Deslarzes P, Hahnloser D, Abdalla S, Larson DW. Preoperative lateral lymph node features and impact on local recurrence after neoadjuvant chemoradiotherapy and total mesorectal excision for locally advanced rectal cancer: results from a multicentre international cohort study. Colorectal Dis 2024; 26:466-475. [PMID: 38243617 DOI: 10.1111/codi.16875] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/16/2023] [Revised: 12/18/2023] [Accepted: 12/27/2023] [Indexed: 01/21/2024]
Abstract
AIM Locally advanced rectal cancer (LARC) is commonly treated with neoadjuvant chemoradiotherapy (nCRT) and total mesorectal excision (TME) to reduce local recurrence (LR) and improve survival. However, LR, particularly associated with lateral lymph node (LLN) involvement, remains a concern. The aim of this study was to investigate preoperative factors associated with LLN involvement and their impact on LR rates in LARC patients undergoing nCRT and curative surgery. METHOD This multicentre retrospective study, including four academic high-volume institutions, involved 301 consecutive adult LARC patients treated with nCRT and curative surgery between January 2014 and December 2019 who did not undergo lateral lymph node dissection (LLND). Baseline and restaging pelvic MRIs were evaluated for suspicious LLNs based on institutional criteria. Patients were divided into two groups: cLLN+ (positive nodes) and cLLN- (no suspicious nodes). Primary outcome measures were LR and lateral local recurrence (LLR) rates at 3 years. RESULTS Among the cohort, 15.9% had suspicious LLNs on baseline MRI, and 9.3% had abnormal LLNs on restaging MRI. At 3 years, LR and LLR rates were 4.0% and 1.0%, respectively. Ten out of 12 (83.3%) patients with LR showed no suspicious LLNs at the baseline MRI. Abnormal LLNs on MRI were not independent risk factors for LR, distant recurrence or disease-free survival. CONCLUSION Abnormal LLNs on baseline and restaging MRI assessment did not impact LR and LLR rates in this cohort of patients with LARC submitted to nCRT and curative TME surgery.
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Affiliation(s)
- Pietro Achilli
- Division of Colon and Rectal Surgery, Mayo Clinic, Rochester, Minnesota, USA
- Department of Mini-invasive Surgery, Grande Ospedale Metropolitano Niguarda, Milan, Italy
| | - Davide Ferrari
- Division of Colon and Rectal Surgery, Mayo Clinic, Rochester, Minnesota, USA
| | - Giacomo Calini
- Division of Colon and Rectal Surgery, Mayo Clinic, Rochester, Minnesota, USA
| | - Camillo L Bertoglio
- Department of Mini-invasive Surgery, Grande Ospedale Metropolitano Niguarda, Milan, Italy
| | - Carmelo Magistro
- Department of Mini-invasive Surgery, Grande Ospedale Metropolitano Niguarda, Milan, Italy
| | - Matteo Origi
- Department of Mini-invasive Surgery, Grande Ospedale Metropolitano Niguarda, Milan, Italy
| | - Pietro Carnevali
- Department of Mini-invasive Surgery, Grande Ospedale Metropolitano Niguarda, Milan, Italy
| | - Bruno D Alampi
- Department of Mini-invasive Surgery, Grande Ospedale Metropolitano Niguarda, Milan, Italy
| | - Irene Giusti
- Department of Mini-invasive Surgery, Grande Ospedale Metropolitano Niguarda, Milan, Italy
| | - Giovanni Ferrari
- Department of Mini-invasive Surgery, Grande Ospedale Metropolitano Niguarda, Milan, Italy
| | | | - Antonino Spinelli
- Department of Biomedical Sciences, Humanitas University, Milan, Italy
- IRCCS Humanitas Research Hospital, Milan, Italy
| | - Fabian Grass
- Department of Visceral Surgery, Lausanne University Hospital CHUV, Lausanne, Switzerland
| | - Philip Deslarzes
- Department of Visceral Surgery, Lausanne University Hospital CHUV, Lausanne, Switzerland
| | - Dieter Hahnloser
- Department of Visceral Surgery, Lausanne University Hospital CHUV, Lausanne, Switzerland
| | - Solafah Abdalla
- Division of Colon and Rectal Surgery, Mayo Clinic, Rochester, Minnesota, USA
| | - David W Larson
- Division of Colon and Rectal Surgery, Mayo Clinic, Rochester, Minnesota, USA
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Zhu HB, Xu D, Sun XF, Li XT, Zhang XY, Wang K, Xing BC, Sun YS. Prediction of hepatic lymph node metastases based on magnetic resonance imaging before and after preoperative chemotherapy in patients with colorectal liver metastases underwent surgical resection. Cancer Imaging 2023; 23:18. [PMID: 36810192 PMCID: PMC9942330 DOI: 10.1186/s40644-023-00529-y] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/16/2022] [Accepted: 01/30/2023] [Indexed: 02/23/2023] Open
Abstract
BACKGROUND Patients with colorectal liver metastases (CRLM) combined with hepatic lymph node (HLN) metastases have a poor prognosis. In this study, we developed and validated a model using clinical and magnetic resonance imaging (MRI) parameters to predict HLN status before surgery. METHODS A total of 104 CRLM patients undergoing hepatic lymphonodectomy with pathologically confirmed HLN status after preoperative chemotherapy were enrolled in this study. The patients were further divided into a training group (n = 52) and a validation group (n = 52). The apparent diffusion coefficient (ADC) values, including ADCmean and ADCmin of the largest HLN before and after treatment, were measured. rADC was calculated referring to the target liver metastases, spleen, and psoas major muscle (rADC-LM, rADC-SP, rADC-m). In addition, ADC change rate (Δ% ADC) was quantitatively calculated. A multivariate logistic regression model for predicting HLN status in CRLM patients was constructed using the training group and further tested in the validation group. RESULTS In the training cohort, post-ADCmean (P = 0.018) and the short diameter of the largest lymph node after treatment (P = 0.001) were independent predictors for metastatic HLN in CRLM patients. The model's AUC was 0.859 (95% CI, 0.757-0.961) and 0.767 (95% CI 0.634-0.900) in the training and validation cohorts, respectively. Patients with metastatic HLN showed significantly worse overall survival (p = 0.035) and recurrence-free survival (p = 0.015) than patients with negative HLN. CONCLUSIONS The developed model using MRI parameters could accurately predict HLN metastases in CRLM patients and could be used to preoperatively assess the HLN status and facilitate surgical treatment decisions in patients with CRLM.
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Affiliation(s)
- Hai-bin Zhu
- Key Laboratory of Carcinogenesis and Translational Research (Ministry of Education/Beijing), Department of Radiology, Peking University Cancer Hospital & Institute, 52 Fu Cheng Road, Hai Dian District, Beijing, 100142 China
| | - Da Xu
- Key Laboratory of Carcinogenesis and Translational Research (Ministry of Education/Beijing), Hepatopancreatobiliary Surgery Department I, Peking University Cancer Hospital & Institute, 52 Fu Cheng Road, Hai Dian District, Beijing, 100142 China
| | - Xue-Feng Sun
- Key Laboratory of Carcinogenesis and Translational Research (Ministry of Education/Beijing), Department of Radiology, Peking University Cancer Hospital & Institute, 52 Fu Cheng Road, Hai Dian District, Beijing, 100142 China
| | - Xiao-Ting Li
- Key Laboratory of Carcinogenesis and Translational Research (Ministry of Education/Beijing), Department of Radiology, Peking University Cancer Hospital & Institute, 52 Fu Cheng Road, Hai Dian District, Beijing, 100142 China
| | - Xiao-Yan Zhang
- Key Laboratory of Carcinogenesis and Translational Research (Ministry of Education/Beijing), Department of Radiology, Peking University Cancer Hospital & Institute, 52 Fu Cheng Road, Hai Dian District, Beijing, 100142 China
| | - Kun Wang
- Key Laboratory of Carcinogenesis and Translational Research (Ministry of Education/Beijing), Hepatopancreatobiliary Surgery Department I, Peking University Cancer Hospital & Institute, 52 Fu Cheng Road, Hai Dian District, Beijing, 100142 China
| | - Bao-Cai Xing
- Key Laboratory of Carcinogenesis and Translational Research (Ministry of Education/Beijing), Hepatopancreatobiliary Surgery Department I, Peking University Cancer Hospital & Institute, 52 Fu Cheng Road, Hai Dian District, Beijing, 100142 China
| | - Ying-Shi Sun
- Key Laboratory of Carcinogenesis and Translational Research (Ministry of Education/Beijing), Department of Radiology, Peking University Cancer Hospital & Institute, 52 Fu Cheng Road, Hai Dian District, Beijing, 100142 China
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7
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Naeimi R, Najafi R, Molaei P, Amini R, Pecic S. Nanoparticles: The future of effective diagnosis and treatment of colorectal cancer? Eur J Pharmacol 2022; 936:175350. [DOI: 10.1016/j.ejphar.2022.175350] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/08/2022] [Revised: 10/20/2022] [Accepted: 10/21/2022] [Indexed: 11/03/2022]
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8
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Zhuang Z, Ma X, Zhang Y, Yang X, Wei M, Deng X, Wang Z. Technique to match mesorectal lymph nodes imaging findings to histopathology: node-by-node comparison. J Cancer Res Clin Oncol 2022:10.1007/s00432-022-04305-6. [PMID: 36028725 DOI: 10.1007/s00432-022-04305-6] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/14/2022] [Accepted: 08/15/2022] [Indexed: 11/29/2022]
Abstract
BACKGROUND Lymph node status is critical for staging rectal cancer and determining neoadjuvant therapy regimens. Establishing a matching between imaging and histopathological lymph nodes is fundamental for predicting lymph node status. This study reports a technique to achieve node-by-node pairing of mesorectal lymph nodes between imaging findings and histopathology. METHODS Fifty-two patients with histopathologically verified rectal cancer underwent magnetic resonance imaging before surgery. The status of each lymph node in the surgical specimens was analyzed histopathologically and matched with preoperative imaging after the operation. RESULTS A total of 346 mesorectal lymph nodes were located on imaging evaluation, of which 313 were confirmed histopathologically, and 33 were unmatched. The total success rate of the technique was 90.5%. Node-by-node analysis revealed 280 benign and 33 malignant nodal structures. CONCLUSION The technique to match mesorectal lymph node imaging findings to histopathology was feasible and effective. It simplified the technical method and had a reasonable success matching rate, which could provide a standardized approach for obtaining a prospective correlation between imaging and histological findings, supporting all subsequent related studies at the level of mesorectal lymph nodes.
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Affiliation(s)
- Zixuan Zhuang
- Department of General Surgery, Colorectal Cancer Center, West China Hospital, Sichuan University, No. 37 Guoxue Lane, Chengdu, 610041, Sichuan Province, China
| | - Xueqin Ma
- Department of Radiology, The Second Affiliated Hospital of Chongqing Medical University, Chongqing, China
| | - Yang Zhang
- Department of General Surgery, Colorectal Cancer Center, West China Hospital, Sichuan University, No. 37 Guoxue Lane, Chengdu, 610041, Sichuan Province, China
| | - Xuyang Yang
- Department of General Surgery, Colorectal Cancer Center, West China Hospital, Sichuan University, No. 37 Guoxue Lane, Chengdu, 610041, Sichuan Province, China
| | - Mingtian Wei
- Department of General Surgery, Colorectal Cancer Center, West China Hospital, Sichuan University, No. 37 Guoxue Lane, Chengdu, 610041, Sichuan Province, China
| | - Xiangbing Deng
- Department of General Surgery, Colorectal Cancer Center, West China Hospital, Sichuan University, No. 37 Guoxue Lane, Chengdu, 610041, Sichuan Province, China
| | - Ziqiang Wang
- Department of General Surgery, Colorectal Cancer Center, West China Hospital, Sichuan University, No. 37 Guoxue Lane, Chengdu, 610041, Sichuan Province, China.
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Wichtmann BD, Albert S, Zhao W, Maurer A, Rödel C, Hofheinz RD, Hesser J, Zöllner FG, Attenberger UI. Are We There Yet? The Value of Deep Learning in a Multicenter Setting for Response Prediction of Locally Advanced Rectal Cancer to Neoadjuvant Chemoradiotherapy. Diagnostics (Basel) 2022; 12:1601. [PMID: 35885506 PMCID: PMC9317842 DOI: 10.3390/diagnostics12071601] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/14/2022] [Revised: 06/26/2022] [Accepted: 06/28/2022] [Indexed: 11/17/2022] Open
Abstract
This retrospective study aims to evaluate the generalizability of a promising state-of-the-art multitask deep learning (DL) model for predicting the response of locally advanced rectal cancer (LARC) to neoadjuvant chemoradiotherapy (nCRT) using a multicenter dataset. To this end, we retrained and validated a Siamese network with two U-Nets joined at multiple layers using pre- and post-therapeutic T2-weighted (T2w), diffusion-weighted (DW) images and apparent diffusion coefficient (ADC) maps of 83 LARC patients acquired under study conditions at four different medical centers. To assess the predictive performance of the model, the trained network was then applied to an external clinical routine dataset of 46 LARC patients imaged without study conditions. The training and test datasets differed significantly in terms of their composition, e.g., T-/N-staging, the time interval between initial staging/nCRT/re-staging and surgery, as well as with respect to acquisition parameters, such as resolution, echo/repetition time, flip angle and field strength. We found that even after dedicated data pre-processing, the predictive performance dropped significantly in this multicenter setting compared to a previously published single- or two-center setting. Testing the network on the external clinical routine dataset yielded an area under the receiver operating characteristic curve of 0.54 (95% confidence interval [CI]: 0.41, 0.65), when using only pre- and post-therapeutic T2w images as input, and 0.60 (95% CI: 0.48, 0.71), when using the combination of pre- and post-therapeutic T2w, DW images, and ADC maps as input. Our study highlights the importance of data quality and harmonization in clinical trials using machine learning. Only in a joint, cross-center effort, involving a multidisciplinary team can we generate large enough curated and annotated datasets and develop the necessary pre-processing pipelines for data harmonization to successfully apply DL models clinically.
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Affiliation(s)
- Barbara D. Wichtmann
- Department of Diagnostic and Interventional Radiology, University Hospital Bonn, 53127 Bonn, Germany;
| | - Steffen Albert
- Computer Assisted Clinical Medicine, Mannheim Institute for Intelligent Systems in Medicine, Medical Faculty Mannheim, Heidelberg University, 68167 Mannheim, Germany; (S.A.); (F.G.Z.)
| | - Wenzhao Zhao
- Data Analysis and Modeling, Mannheim Institute for Intelligent Systems in Medicine (MIISM), Medical School Mannheim, Central Institute for Scientific Computing (IWR), Central Institute for Computer Engineering (ZITI), CZS Heidelberg Center for Model-Based AI, Heidelberg University, 69047 Heidelberg, Germany; (W.Z.); (J.H.)
| | - Angelika Maurer
- Clinical Functional Imaging, Department of Diagnostic and Interventional Radiology, University Hospital Bonn, 53127 Bonn, Germany;
| | - Claus Rödel
- Department of Radiotherapy and Oncology, University Hospital Frankfurt, 60596 Frankfurt am Main, Germany;
| | - Ralf-Dieter Hofheinz
- Department of Medicine III, Medical Faculty Mannheim, Heidelberg University, 68167 Mannheim, Germany;
| | - Jürgen Hesser
- Data Analysis and Modeling, Mannheim Institute for Intelligent Systems in Medicine (MIISM), Medical School Mannheim, Central Institute for Scientific Computing (IWR), Central Institute for Computer Engineering (ZITI), CZS Heidelberg Center for Model-Based AI, Heidelberg University, 69047 Heidelberg, Germany; (W.Z.); (J.H.)
| | - Frank G. Zöllner
- Computer Assisted Clinical Medicine, Mannheim Institute for Intelligent Systems in Medicine, Medical Faculty Mannheim, Heidelberg University, 68167 Mannheim, Germany; (S.A.); (F.G.Z.)
| | - Ulrike I. Attenberger
- Department of Diagnostic and Interventional Radiology, University Hospital Bonn, 53127 Bonn, Germany;
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10
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Korngold EK, Moreno C, Kim DH, Fowler KJ, Cash BD, Chang KJ, Gage KL, Gajjar AH, Garcia EM, Kambadakone AR, Liu PS, Macomber M, Marin D, Pietryga JA, Santillan CS, Weinstein S, Zreloff J, Carucci LR. ACR Appropriateness Criteria® Staging of Colorectal Cancer: 2021 Update. J Am Coll Radiol 2022; 19:S208-S222. [PMID: 35550803 DOI: 10.1016/j.jacr.2022.02.012] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/21/2022] [Accepted: 02/22/2022] [Indexed: 12/19/2022]
Abstract
Preoperative imaging of rectal carcinoma involves accurate assessment of the primary tumor as well as distant metastatic disease. Preoperative imaging of nonrectal colon cancer is most beneficial in identifying distant metastases, regardless of primary T or N stage. Surgical treatment remains the definitive treatment for colon cancer, while organ-sparing approach may be considered in some rectal cancer patients based on imaging obtained before and after neoadjuvant treatment. The American College of Radiology Appropriateness Criteria are evidence-based guidelines for specific clinical conditions that are reviewed annually by a multidisciplinary expert panel. The guideline development and revision include an extensive analysis of current medical literature from peer reviewed journals and the application of well-established methodologies (RAND/UCLA Appropriateness Method and Grading of Recommendations Assessment, Development, and Evaluation or GRADE) to rate the appropriateness of imaging and treatment procedures for specific clinical scenarios. In those instances where evidence is lacking or equivocal, expert opinion may supplement the available evidence to recommend imaging or treatment.
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Affiliation(s)
- Elena K Korngold
- Oregon Health and Science University, Portland, Oregon; Section Chief, Body Imaging; Chair, P&T Committee; Modality Chief, CT.
| | - Courtney Moreno
- Emory University, Atlanta, Georgia; Chair America College of Radiology CT Colonography Registry Committee
| | - David H Kim
- Panel Chair, University of Wisconsin Hospital & Clinics, Madison, Wisconsin; Vice Chair of Education (University of Wisconsin Dept of Radiology)
| | - Kathryn J Fowler
- Panel Vice-Chair, University of California San Diego, San Diego, California; ACR LI-RADS Working Group Chair
| | - Brooks D Cash
- University of Texas Health Science Center at Houston and McGovern Medical School, Houston, Texas; American Gastroenterological Association; Chief of GI, UTHealth
| | - Kevin J Chang
- Boston University Medical Center, Boston, Massachusetts; Director of MRI, Associate Chief of Abdominal Imaging; ACR Chair of Committee on C-RADS
| | - Kenneth L Gage
- H. Lee Moffitt Cancer Center and Research Institute, Tampa, Florida
| | - Aakash H Gajjar
- PRiSMA Proctology Surgical Medicine & Associates, Houston, Texas; American College of Surgeons
| | - Evelyn M Garcia
- Virginia Tech Carilion School of Medicine, Roanoke, Virginia
| | - Avinash R Kambadakone
- Massachusetts General Hospital, Boston, Massachusetts; Division Chief, Abdominal Imaging, Massachusetts General Hospital; Medical Director, Martha's Vineyard Hospital Imaging
| | - Peter S Liu
- Cleveland Clinic, Cleveland, Ohio; Section Head, Abdominal Imaging, Cleveland Clinic, Cleveland OH
| | | | - Daniele Marin
- Duke University Medical Center, Durham, North Carolina
| | | | - Cynthia S Santillan
- University of California San Diego, San Diego, California; Vice Chair of Clinical Operations for Department of Radiology
| | - Stefanie Weinstein
- University of California San Francisco, San Francisco, California; Associate Chief of Radiology, San Francisco VA Health Systems
| | | | - Laura R Carucci
- Specialty Chair, Virginia Commonwealth University Medical Center, Richmond, Virginia; Director MR and CT at VCUHS; Section Chief Abdominal Imaging VCUHS
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Borgheresi A, De Muzio F, Agostini A, Ottaviani L, Bruno A, Granata V, Fusco R, Danti G, Flammia F, Grassi R, Grassi F, Bruno F, Palumbo P, Barile A, Miele V, Giovagnoni A. Lymph Nodes Evaluation in Rectal Cancer: Where Do We Stand and Future Perspective. J Clin Med 2022; 11:2599. [PMID: 35566723 PMCID: PMC9104021 DOI: 10.3390/jcm11092599] [Citation(s) in RCA: 25] [Impact Index Per Article: 8.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/21/2022] [Revised: 04/25/2022] [Accepted: 05/03/2022] [Indexed: 12/12/2022] Open
Abstract
The assessment of nodal involvement in patients with rectal cancer (RC) is fundamental in disease management. Magnetic Resonance Imaging (MRI) is routinely used for local and nodal staging of RC by using morphological criteria. The actual dimensional and morphological criteria for nodal assessment present several limitations in terms of sensitivity and specificity. For these reasons, several different techniques, such as Diffusion Weighted Imaging (DWI), Intravoxel Incoherent Motion (IVIM), Diffusion Kurtosis Imaging (DKI), and Dynamic Contrast Enhancement (DCE) in MRI have been introduced but still not fully validated. Positron Emission Tomography (PET)/CT plays a pivotal role in the assessment of LNs; more recently PET/MRI has been introduced. The advantages and limitations of these imaging modalities will be provided in this narrative review. The second part of the review includes experimental techniques, such as iron-oxide particles (SPIO), and dual-energy CT (DECT). Radiomics analysis is an active field of research, and the evidence about LNs in RC will be discussed. The review also discusses the different recommendations between the European and North American guidelines for the evaluation of LNs in RC, from anatomical considerations to structured reporting.
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Affiliation(s)
- Alessandra Borgheresi
- Department of Clinical, Special and Dental Sciences, University Politecnica delle Marche, 60121 Ancona, Italy; (A.B.); (A.A.); (A.B.); (A.G.)
| | - Federica De Muzio
- Department of Medicine and Health Sciences “V. Tiberio”, University of Molise, 86100 Campobasso, Italy;
| | - Andrea Agostini
- Department of Clinical, Special and Dental Sciences, University Politecnica delle Marche, 60121 Ancona, Italy; (A.B.); (A.A.); (A.B.); (A.G.)
- Department of Radiological Sciences, University Hospital Ospedali Riuniti, 60126 Ancona, Italy;
- Italian Society of Medical and Interventional Radiology (SIRM), SIRM Foundation, 20122 Milan, Italy; (G.D.); (R.G.); (F.G.); (F.B.); (P.P.); (V.M.)
| | - Letizia Ottaviani
- Department of Radiological Sciences, University Hospital Ospedali Riuniti, 60126 Ancona, Italy;
| | - Alessandra Bruno
- Department of Clinical, Special and Dental Sciences, University Politecnica delle Marche, 60121 Ancona, Italy; (A.B.); (A.A.); (A.B.); (A.G.)
| | - Vincenza Granata
- Division of Radiology, Istituto Nazionale Tumori IRCCS Fondazione Pascale IRCCS di Napoli, 80131 Naples, Italy;
| | - Roberta Fusco
- Medical Oncology Division, Igea SpA, 80013 Napoli, Italy
| | - Ginevra Danti
- Italian Society of Medical and Interventional Radiology (SIRM), SIRM Foundation, 20122 Milan, Italy; (G.D.); (R.G.); (F.G.); (F.B.); (P.P.); (V.M.)
- Department of Radiology, Azienda Ospedaliero-Universitaria Careggi, Largo Brambilla 3, 50134 Florence, Italy;
| | - Federica Flammia
- Department of Radiology, Azienda Ospedaliero-Universitaria Careggi, Largo Brambilla 3, 50134 Florence, Italy;
| | - Roberta Grassi
- Italian Society of Medical and Interventional Radiology (SIRM), SIRM Foundation, 20122 Milan, Italy; (G.D.); (R.G.); (F.G.); (F.B.); (P.P.); (V.M.)
- Division of Radiology, Università degli Studi della Campania Luigi Vanvitelli, 80128 Naples, Italy
| | - Francesca Grassi
- Italian Society of Medical and Interventional Radiology (SIRM), SIRM Foundation, 20122 Milan, Italy; (G.D.); (R.G.); (F.G.); (F.B.); (P.P.); (V.M.)
- Division of Radiology, Università degli Studi della Campania Luigi Vanvitelli, 80128 Naples, Italy
| | - Federico Bruno
- Italian Society of Medical and Interventional Radiology (SIRM), SIRM Foundation, 20122 Milan, Italy; (G.D.); (R.G.); (F.G.); (F.B.); (P.P.); (V.M.)
- Department of Biotechnological and Applied Clinical Sciences, University of L’Aquila, 67100 L’Aquila, Italy;
| | - Pierpaolo Palumbo
- Italian Society of Medical and Interventional Radiology (SIRM), SIRM Foundation, 20122 Milan, Italy; (G.D.); (R.G.); (F.G.); (F.B.); (P.P.); (V.M.)
- Abruzzo Health Unit 1, Department of Diagnostic Imaging, Area of Cardiovascular and Interventional Imaging, 67100 L’Aquila, Italy
| | - Antonio Barile
- Department of Biotechnological and Applied Clinical Sciences, University of L’Aquila, 67100 L’Aquila, Italy;
| | - Vittorio Miele
- Italian Society of Medical and Interventional Radiology (SIRM), SIRM Foundation, 20122 Milan, Italy; (G.D.); (R.G.); (F.G.); (F.B.); (P.P.); (V.M.)
- Department of Radiology, Azienda Ospedaliero-Universitaria Careggi, Largo Brambilla 3, 50134 Florence, Italy;
| | - Andrea Giovagnoni
- Department of Clinical, Special and Dental Sciences, University Politecnica delle Marche, 60121 Ancona, Italy; (A.B.); (A.A.); (A.B.); (A.G.)
- Department of Radiological Sciences, University Hospital Ospedali Riuniti, 60126 Ancona, Italy;
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12
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Liu Z, Huang C, Tian H, Liu Y, Huang Y, Zhu Z. Establishment of a Dynamic Nomogram for Predicting the Risk of Lymph Node Metastasis in T1 Stage Colorectal Cancer. Front Surg 2022; 9:845666. [PMID: 35388361 PMCID: PMC8977409 DOI: 10.3389/fsurg.2022.845666] [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: 12/30/2021] [Accepted: 02/16/2022] [Indexed: 12/03/2022] Open
Abstract
BACKGROUND Accurate prediction of the risk of lymph node metastasis in patients with stage T1 colorectal cancer is crucial for the formulation of treatment plans for additional surgery and lymph node dissection after endoscopic resection. The purpose of this study was to establish a predictive model for evaluating the risk of LNM in patients with stage T1 colorectal cancer. METHODS The clinicopathological and imaging data of 179 patients with T1 stage colorectal cancer who underwent radical resection of colorectal cancer were collected. LASSO regression and a random forest algorithm were used to screen the important risk factors for LNM, and a multivariate logistic regression equation and dynamic nomogram were constructed. The C index, Calibration curve, and area under the ROC curve were used to evaluate the discriminant and prediction ability of the nomogram. The net reclassification index (NRI), comprehensive discriminant improvement index (IDI), and clinical decision curve (DCA) were compared with traditional ESMO criteria to evaluate the accuracy, net benefit, and clinical practicability of the model. RESULTS The probability of lymph node metastasis in patients with T1 colorectal cancer was 11.17% (20/179). Multivariate analysis showed that the independent risk factors for LNM in T1 colorectal cancer were submucosal invasion depth, histological grade, CEA, lymphovascular invasion, and imaging results. The dynamic nomogram model constructed with independent risk factors has good discrimination and prediction capabilities. The C index was 0.914, the corrected C index was 0.890, the area under the ROC curve was 0.914, and the accuracy, sensitivity, and specificity were 93.3, 80.0, and 91.8%, respectively. The NRI, IDI, and DCA show that this model is superior to the ESMO standard. CONCLUSION This study establishes a dynamic nomogram that can effectively predict the risk of lymph node metastasis in patients with stage T1 colorectal cancer, which will provide certain help for the formulation of subsequent treatment plans for patients with stage T1 CRC after endoscopic resection.
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Affiliation(s)
| | | | | | | | | | - Zhengming Zhu
- Department of Gastrointestinal Surgery, The Second Affiliated Hospital of Nanchang University, Nanchang, China
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13
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Imaging of Oligometastatic Disease. Cancers (Basel) 2022; 14:cancers14061427. [PMID: 35326586 PMCID: PMC8946296 DOI: 10.3390/cancers14061427] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/20/2022] [Revised: 03/03/2022] [Accepted: 03/08/2022] [Indexed: 11/22/2022] Open
Abstract
Simple Summary The imaging of oligometastatic disease (OMD) is challenging as it requires precise loco-regional staging and whole-body assessment. The combination of imaging modalities is often required. The more accurate imaging tool will be selected according to tumor type, the timing with regard to measurement and treatment, metastatic location, and the patient’s individual risk for metastasis. The most commonly used modalities are contrast-enhanced computed tomography (CT), magnetic resonance imaging and metabolic and receptor-specific imaging, particularly, 18F-fluorodesoxyglucose positron emission tomography/CT, used alone or in combination. Abstract Oligometastatic disease (OMD) is an emerging state of disease with limited metastatic tumor burden. It should be distinguished from polymetastatic disease due the potential curative therapeutic options of OMD. Imaging plays a pivotal role in the diagnosis and follow-up of patients with OMD. The imaging tools needed in the case of OMD will differ according to different parameters, which include primary tumor type, timing between measurement and treatment, potential metastatic location and the patient’s individual risk for metastasis. In this article, OMD is defined and the use of different imaging modalities in several oncologic situations are described in order to better understand OMD and its specific implication for radiologists.
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14
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Nougaret S, Rousset P, Gormly K, Lucidarme O, Brunelle S, Milot L, Salut C, Pilleul F, Arrivé L, Hordonneau C, Baudin G, Soyer P, Brun V, Laurent V, Savoye-Collet C, Petkovska I, Gerard JP, Rullier E, Cotte E, Rouanet P, Beets-Tan RGH, Frulio N, Hoeffel C. Structured and shared MRI staging lexicon and report of rectal cancer: A consensus proposal by the French Radiology Group (GRERCAR) and Surgical Group (GRECCAR) for rectal cancer. Diagn Interv Imaging 2022; 103:127-141. [PMID: 34794932 DOI: 10.1016/j.diii.2021.08.003] [Citation(s) in RCA: 9] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/11/2021] [Accepted: 08/13/2021] [Indexed: 12/18/2022]
Abstract
PURPOSE To develop French guidelines by experts to standardize data acquisition, image interpretation, and reporting in rectal cancer staging with magnetic resonance imaging (MRI). MATERIALS AND METHODS Evidence-based data and opinions of experts of GRERCAR (Groupe de REcherche en Radiologie sur le CAncer du Rectum [i.e., Rectal Cancer Imaging Research Group]) and GRECCAR (Groupe de REcherche en Chirurgie sur le CAncer du Rectum [i.e., Rectal Cancer Surgery Research Group]) were combined using the RAND-UCLA Appropriateness Method to attain consensus guidelines. Experts scoring of reporting template and protocol for data acquisition were collected; responses were analyzed and classified as "Recommended" versus "Not recommended" (when ≥ 80% consensus among experts) or uncertain (when < 80% consensus among experts). RESULTS Consensus regarding patient preparation, MRI sequences, staging and reporting was attained using the RAND-UCLA Appropriateness Method. A consensus was reached for each reporting template item among the experts. Tailored MRI protocol and standardized report were proposed. CONCLUSION These consensus recommendations should be used as a guide for rectal cancer staging with MRI.
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Affiliation(s)
- Stephanie Nougaret
- Department of Radiology, Institut Régional du Cancer de Montpellier, Montpellier Cancer Research Institute, INSERM U1194, University of Montpellier, 34295, Montpellier, France.
| | - Pascal Rousset
- Department of Radiology, Lyon 1 Claude-Bernard University, 69495 Pierre-Benite, France
| | - Kirsten Gormly
- Dr Jones & Partners Medical Imaging, Kurralta Park, 5037, Australia; University of Adelaide, North Terrace, Adelaide, South Australia 5000, Australia
| | - Oliver Lucidarme
- Department of Radiology, Pitié-Salpêtrière Hospital, Sorbonne Université, 75013 Paris, France; LIB, INSERM, CNRS, UMR7371-U1146, 75013 Paris, France
| | - Serge Brunelle
- Department of Radiology, Institut Paoli-Calmettes, 13009 Marseille, France
| | - Laurent Milot
- Radiology Department, Hospices Civils de Lyon, Lyon Sud University Hospital, 69495 Pierre Bénite, France; Lyon 1 Claude Bernard University, 69100 Villeurbanne, France
| | - Cécile Salut
- Department of Radiology, CHU de Bordeaux, Université de Bordeaux, 33000 Bordeaux, France
| | - Franck Pilleul
- Department of Radiology, Centre Léon Bérard, Lyon, France Univ Lyon, INSA-Lyon, Université Claude Bernard Lyon 1, UJM-Saint Etienne, CNRS, Inserm, CREATIS UMR 5220, U1206, 69621, Lyon, France
| | - Lionel Arrivé
- Department of Radiology, Hopital St Antoine, Paris, France
| | - Constance Hordonneau
- Department of Radiology, CHU Estaing, Université Clermont-Auvergne, 63000 Clermont-Ferrand, France
| | - Guillaume Baudin
- Department of Radiology, Centre Antoine Lacassagne, 06100 Nice, France
| | - Philippe Soyer
- Department of Radiology, Hôpital Cochin, AP-HP, 75014 Paris, France; Université de Paris, 75006 Paris, France
| | - Vanessa Brun
- Department of Radiology, CHU Hôpital Pontchaillou, 35000 Rennes Cedex, France
| | - Valérie Laurent
- Department of Radiology, Brabois-Nancy University Hospital, Université de Lorraine, 54500 Vandoeuvre-lès-Nancy, France
| | | | - Iva Petkovska
- Department of Radiology, Memorial Sloan Kettering Cancer Center, New York, NY 10065, USA
| | - Jean Pierre Gerard
- Department of Radiotherapy, Centre Antoine Lacassagne, 06100 Nice, France
| | - Eric Rullier
- Department of Digestive Surgery, Hôpital Haut-Lévèque, Université de Bordeaux, 33600 Pessac, France
| | - Eddy Cotte
- Department of Digestive Surgery, Hospices Civils de Lyon, Lyon Sud University Hospital, 69310 Pierre Bénite, France; Lyon 1 Claude Bernard University, 69100 Villeurbanne, France
| | - Philippe Rouanet
- Department of surgery, Institut Régional du Cancer de Montpellier, Montpellier Cancer Research Institute, INSERM U1194, University of Montpellier, 34295, Montpellier, France
| | - Regina G H Beets-Tan
- Department of Radiology, The Netherlands Cancer Institute, 1066 CX, Amsterdam, the Netherlands
| | - Nora Frulio
- Department of Radiology, CHU de Bordeaux, Université de Bordeaux, 33000 Bordeaux, France
| | - Christine Hoeffel
- Department of Radiology, Hôpital Robert Debré & CRESTIC, URCA, 51092 Reims, France
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15
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Bates DD, Homsi ME, Chang K, Lalwani N, Horvat N, Sheedy S. MRI for Rectal Cancer: Staging, mrCRM, EMVI, Lymph Node Staging and Post-Treatment Response. Clin Colorectal Cancer 2022; 21:10-18. [PMID: 34895835 PMCID: PMC8966586 DOI: 10.1016/j.clcc.2021.10.007] [Citation(s) in RCA: 34] [Impact Index Per Article: 11.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/14/2021] [Revised: 10/26/2021] [Accepted: 10/31/2021] [Indexed: 12/16/2022]
Abstract
Rectal cancer is a relatively common malignancy in the United States. Magnetic resonance imaging (MRI) of rectal cancer has evolved tremendously in recent years, and has become a key component of baseline staging and treatment planning. In addition to assessing the primary tumor and locoregional lymph nodes, rectal MRI can be used to help with risk stratification by identifying high-risk features such as extramural vascular invasion and can assess treatment response for patients receiving neoadjuvant therapy. As the practice of rectal MRI continues to expand further into academic centers and private practices, standard MRI protocols, and reporting are critical. In addition, it is imperative that the radiologists reading these cases work closely with surgeons, medical oncologists, radiation oncologists, and pathologists to ensure we are providing the best possible care to patients. This review aims to provide a broad overview of the role of MRI for rectal cancer.
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Affiliation(s)
- David D.B. Bates
- Department of Radiology, Memorial Sloan Kettering Cancer Center, New York, NY, USA
| | - Maria El Homsi
- Department of Radiology, Memorial Sloan Kettering Cancer Center, New York, NY, USA
| | - Kevin Chang
- Department of Radiology, Boston University Medical Center, Boston, MA, USA
| | - Neeraj Lalwani
- Department of Radiology, Virginia Commonwealth University, Richmond, VA, USA
| | - Natally Horvat
- Department of Radiology, Memorial Sloan Kettering Cancer Center, New York, NY, USA
| | - Shannon Sheedy
- Department of Radiology, Mayo Clinic, Rochester, MN, USA
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16
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Kasai S, Shiomi A, Kagawa H, Hino H, Manabe S, Yamaoka Y, Chen K, Nanishi K, Kinugasa Y. The Effectiveness of Machine Learning in Predicting Lateral Lymph Node Metastasis From Lower Rectal Cancer: A Single Center Development and Validation Study. Ann Gastroenterol Surg 2022; 6:92-100. [PMID: 35106419 PMCID: PMC8786681 DOI: 10.1002/ags3.12504] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/05/2021] [Revised: 08/10/2021] [Accepted: 08/29/2021] [Indexed: 12/17/2022] Open
Abstract
AIM Accurate preoperative diagnosis of lateral lymph node metastasis (LLNM) from lower rectal cancer is important to identify patients who require lateral lymph node dissection (LLND). We aimed to create an effective prediction model for LLNM using machine learning by combining preoperative information. METHODS We retrospectively examined patients who underwent primary rectal cancer surgery with unilateral or bilateral LLND between April 2010 and March 2020 at a single institution. Using the machine learning software "Prediction One" (Sony Network Communications), we developed a prediction model in the training cohort that included 267 consecutive patients (500 sides) from April 2010. Clinicopathological data obtained from the preoperative examinations were used as the learning items. In the validation cohort that included subsequent patients until March 2020, we compared the discriminating powers of the prediction model and the conventional method using the short-axis diameter of the largest lateral lymph node, as detected on magnetic resonance imaging. RESULTS The area under the receiver operating characteristic curve (AUC) of the prediction model was 0.903 in the validation cohort comprising 56 patients (107 sides). This indicated significantly higher predictive power than that of the conventional method (AUC = 0.754; P = .022). Using the cutoff values defined in the training cohort, the accuracy, sensitivity, and specificity of the prediction model were 80.4%, 90.0%, and 79.4%, respectively. The model was able to correctly predict four of five sides comprising LLNM with the short-axis diameters ≤4 mm. CONCLUSION Machine learning contributed to the creation of an effective prediction model for LLNM.
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Affiliation(s)
- Shunsuke Kasai
- Division of Colon and Rectal SurgeryShizuoka Cancer CenterShizuokaJapan
- Department of Gastrointestinal SurgeryTokyo Medical and Dental UniversityTokyoJapan
| | - Akio Shiomi
- Division of Colon and Rectal SurgeryShizuoka Cancer CenterShizuokaJapan
| | - Hiroyasu Kagawa
- Division of Colon and Rectal SurgeryShizuoka Cancer CenterShizuokaJapan
| | - Hitoshi Hino
- Division of Colon and Rectal SurgeryShizuoka Cancer CenterShizuokaJapan
| | - Shoichi Manabe
- Division of Colon and Rectal SurgeryShizuoka Cancer CenterShizuokaJapan
| | - Yusuke Yamaoka
- Division of Colon and Rectal SurgeryShizuoka Cancer CenterShizuokaJapan
| | - Kai Chen
- Division of Colon and Rectal SurgeryShizuoka Cancer CenterShizuokaJapan
| | - Kenji Nanishi
- Division of Colon and Rectal SurgeryShizuoka Cancer CenterShizuokaJapan
| | - Yusuke Kinugasa
- Department of Gastrointestinal SurgeryTokyo Medical and Dental UniversityTokyoJapan
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17
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Li J, Shiomi A. Lateral lymph node dissection in advanced low rectal cancer treatment. Int J Colorectal Dis 2021; 36:2361-2371. [PMID: 34152455 DOI: 10.1007/s00384-021-03975-x] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Accepted: 06/08/2021] [Indexed: 02/04/2023]
Abstract
Lateral lymph node (LLN) metastasis is a determinant of local recurrence in advanced low rectal cancer. Lateral lymph node dissection (LLND) is effective in removing metastatic lymph nodes, and has been shown to have a decreased local recurrence rate. However, because of its complexity and complications it induces, there is still tremendous controversy about its usage. Neoadjuvant chemoradiotherapy (nCRT) and total mesorectal excision (TME) are recommended as a conventional treatment for advanced rectal cancer. However, LLN metastasis and local recurrence still occur despite nCRT with TME. In Japan, TME with LLND is the standard surgical treatment for Stage II/III of advanced low rectal cancer. Before surgery, a proper evaluation of LLN status should be performed. Laparoscopic LLND and robotic-assisted LLND are useful for this. More research is necessary to improve the oncological outcomes of LLND. In this review, we retrospectively examine previous reports about LLND, aiming to emphasize its application prospects to improve patient survival and life quality.
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Affiliation(s)
- Jie Li
- Department of General Surgery, the Second Affiliated Hospital of Xi'an Jiaotong University, West 5 Road, Xi'an, 710004, China
| | - Akio Shiomi
- Division of Colon and Rectal Surgery, Shizuoka Cancer Center Hospital, 1007 Shimonagakubo, Nagaizumi-cho, Sunto-gun, Shizuoka, 411-8777, Japan.
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18
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Li J, Zhou Y, Wang X, Yu Y, Zhou X, Luan K. Histogram Analysis of Diffusion-Weighted Magnetic Resonance Imaging as a Biomarker to Predict Lymph Node Metastasis in T3 Stage Rectal Carcinoma. Cancer Manag Res 2021; 13:2983-2993. [PMID: 33833581 PMCID: PMC8021267 DOI: 10.2147/cmar.s298907] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/25/2020] [Accepted: 03/03/2021] [Indexed: 01/08/2023] Open
Abstract
Purpose This study investigated the predictive value of apparent diffusion coefficient (ADC) histogram parameters of the primary tumor for regional lymph node metastasis (LNM) in pathological T3 stage rectal cancer. Patients and Methods We retrospectively studied 175 patients with T3 stage rectal cancer who underwent preoperative MRI, including diffusion-weighted imaging, between January 2015 and October 2017. Based on pathological analysis of surgical specimens, 113 patients were classified into the LN− group and 62 in the LN+ group. We analyzed clinical data, radiological characteristics and histogram parameters derived from ADC maps. Then, receiver operating characteristic curve (ROC) analyses were generated to determine the best diagnostic performance. Results The mean (p=0.002, cutoff=1.08×10–3 s/mm2), coefficient of variation (CV) (p=0.040, cutoff=0.249) of the ADC map, carbohydrate antigen 199, and N stage with magnetic resonance (mrN stage) were independent factors for LNM. Combining these factors yielded the best diagnostic performance, with the area under the ROC curve of 0.838, 72.9% sensitivity, 79.1% specificity, 65.2% positive predictive value, and 84.5% negative predictive value. Conclusion With the mean >1.08×10–3 s/mm2 and CV <0.249, the ADC improved the diagnostic performance of LNM in T3 stage rectal cancer, which could assist surgeons with neoadjuvant chemoradiotherapy.
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Affiliation(s)
- Jin Li
- College of Intelligent Systems Science and Engineering, Harbin Engineering University, Harbin, 150001, Heilongjiang Province, People's Republic of China
| | - Yang Zhou
- College of Intelligent Systems Science and Engineering, Harbin Engineering University, Harbin, 150001, Heilongjiang Province, People's Republic of China.,Department of Radiology, Harbin Medical University Cancer Hospital, Harbin, 150001, Heilongjiang Province, People's Republic of China
| | - Xinxin Wang
- Department of Radiology, Harbin Medical University Cancer Hospital, Harbin, 150001, Heilongjiang Province, People's Republic of China
| | - Yanyan Yu
- Department of Radiology, Harbin Medical University Cancer Hospital, Harbin, 150001, Heilongjiang Province, People's Republic of China
| | - Xueyan Zhou
- School of Technology, Harbin University, Harbin, 150001, Heilongjiang Province, People's Republic of China
| | - Kuan Luan
- College of Intelligent Systems Science and Engineering, Harbin Engineering University, Harbin, 150001, Heilongjiang Province, People's Republic of China
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Evaluation of risk classifications for gastrointestinal stromal tumor using multi-parameter Magnetic Resonance analysis. Abdom Radiol (NY) 2021; 46:1506-1518. [PMID: 33063266 DOI: 10.1007/s00261-020-02813-y] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/14/2020] [Revised: 09/29/2020] [Accepted: 10/07/2020] [Indexed: 12/21/2022]
Abstract
BACKGROUND Gastrointestinal stromal tumor (GIST) is the most common mesenchymal malignancy of the gastrointestinal tract. At present, it is generally believed that the prognosis of GIST is closely related to its risk classification. It may add value to correctly diagnose and evaluate the risk of invasion using a noninvasive imaging examination prior to surgery. MRI has the advantages of multiple parameters and high soft tissue resolution, which may be the potential method to preoperatively evaluate the risk of GIST. PURPOSE To retrospectively evaluate the diagnostic accuracy of multi-parameter MR analysis for preoperative risk classification of GIST. MATERIALS AND METHODS In this 6-year retrospective study, full MRI examination was performed on all 60 GIST cases confirmed classified by pathology, including 35 cases of very low-to-low-risk GIST and 25 cases of intermediate-to-high-risk GIST. Dynamic contrast-enhanced T1- and T2-weighted images, and apparent diffusion coefficient (ADC) maps were reviewed independently by two radiologists blinded to pathologic results. Volume, ADC ratio, three wash-in indexes (WII) were calculated and compared using t-test or Kruskal-Wallis nonparametric test. Sensitivity and specificity analyses were performed to calculate diagnostic accuracy using ROC analyses. Differences were considered significant at p < 0.05. RESULTS All GISTs were resected. Patient age, sex, tumor location and tumor shape did not differ significantly across the two groups (p = 0.798, 0.767, 0.822 and 0.096, respectively). GIST in the intermediate-to-high-risk group presented significantly greater volume (p = 0.0045), lower ADC ratio (p = 0.0125) and faster enhancement (for WII2, p < 0.0001; for WII3, p = 0.0358) than that of GIST in the very low-to-low-risk group. This combination of the volume, ADC ratio and WII2 provided sensitivity of 88%, specificity of 94.29%, and accuracy of 91.7% for the risk classification of GIST. CONCLUSION Multi-parameter MR analysis provides a preoperative imaging standard for accurately distinguishing very low-to-low-risk GIST from intermediate-to-high-risk GIST.
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20
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Pavitra E, Dariya B, Srivani G, Kang SM, Alam A, Sudhir PR, Kamal MA, Raju GSR, Han YK, Lakkakula BVKS, Nagaraju GP, Huh YS. Engineered nanoparticles for imaging and drug delivery in colorectal cancer. Semin Cancer Biol 2021; 69:293-306. [PMID: 31260733 DOI: 10.1016/j.semcancer.2019.06.017] [Citation(s) in RCA: 53] [Impact Index Per Article: 13.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/02/2019] [Revised: 06/18/2019] [Accepted: 06/27/2019] [Indexed: 02/07/2023]
Abstract
Colorectal cancer (CRC) is one of the deadliest diseases worldwide due to a lack of early detection methods and appropriate drug delivery strategies. Conventional imaging techniques cannot accurately distinguish benign from malignant tissue, leading to frequent misdiagnosis or diagnosis at late stages of the disease. Novel screening tools with improved accuracy and diagnostic precision are thus required to reduce the mortality burden of this malignancy. Additionally, current therapeutic strategies, including radio- and chemotherapies carry adverse side effects and are limited by the development of drug resistance. Recent advances in nanotechnology have rendered it an attractive approach for designing novel clinical solutions for CRC. Nanoparticle-based formulations could assist early tumor detection and help to overcome the limitations of conventional therapies including poor aqueous solubility, nonspecific biodistribution and limited bioavailability. In this review, we shed light on various types of nanoparticles used for diagnosis and drug delivery in CRC. In addition, we will explore how these nanoparticles can improve diagnostic accuracy and promote selective drug targeting to tumor sites with increased efficiency and reduced cytotoxicity against healthy colon tissue.
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Affiliation(s)
- Eluri Pavitra
- Department of Biological Engineering, Biohybrid Systems Research Center (BSRC) Inha University, Incheon, 22212, Republic of Korea.
| | - Begum Dariya
- Department of Bioscience and Biotechnology, Banasthali University, Vanasthali, Rajasthan, 304022, India
| | - Gowru Srivani
- Department of Bioscience and Biotechnology, Banasthali University, Vanasthali, Rajasthan, 304022, India
| | - Sung-Min Kang
- Department of Biological Engineering, Biohybrid Systems Research Center (BSRC) Inha University, Incheon, 22212, Republic of Korea
| | - Afroz Alam
- Department of Bioscience and Biotechnology, Banasthali University, Vanasthali, Rajasthan, 304022, India
| | - Putty-Reddy Sudhir
- The Center for Translational Biomedical Research, UNCG, Kannapolis, NC-28081, USA
| | - Mohammad Amjad Kamal
- King Fahd Medical Research Center, King Abdulaziz University, P. O. Box 80216, Jeddah 21589, Saudi Arabia; Enzymoics, 7 Peterlee Place, Hebersham, NSW, 2770, Australia; Novel Global Community Educational Foundation, Australia
| | - Ganji Seeta Rama Raju
- Department of Energy and Materials Engineering, Dongguk University-Seoul, Seoul, 04620, Republic of Korea
| | - Young-Kyu Han
- Department of Energy and Materials Engineering, Dongguk University-Seoul, Seoul, 04620, Republic of Korea
| | | | - Ganji Purnachandra Nagaraju
- Department of Hematology and Medical Oncology, Winship Cancer Institute, Emory University, Atlanta, GA-30322, USA
| | - Yun Suk Huh
- Department of Biological Engineering, Biohybrid Systems Research Center (BSRC) Inha University, Incheon, 22212, Republic of Korea.
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21
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Murphy C, Stephens I, OꞌFlanagan G, OꞌByrne L, Reynolds IS, Ajmal N, O'Sullivan JB, OꞌNeill B, Deasy J, Burke JP, McNamara DA. A comparison of oncological outcomes after abdominoperineal excision before and after the implementation of a selective perineal flap closure program. J Surg Oncol 2020; 123:614-621. [PMID: 33238062 DOI: 10.1002/jso.26309] [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: 08/20/2020] [Revised: 10/12/2020] [Accepted: 11/08/2020] [Indexed: 11/11/2022]
Abstract
BACKGROUND AND OBJECTIVES Abdominoperineal excision (APE) is the operation chosen when a patient has low rectal cancer unamenable to sphincter preserving surgery. Perineal flap reconstruction is associated with less wound morbidity but little is known about oncological outcomes. The objective was to compare outcomes in patients undergoing APE before and after the introduction of a program that utilized flap reconstruction of the perineum. METHODS A retrospective review of a prospectively maintained database was performed. Patients who underwent APE followed by primary closure or flap reconstruction between 1998 and 2018 were selected. The cohorts were divided according to the implementation of the flap reconstruction program in July 2009. Clinicopathological data, recurrence and survival were compared between the cohorts. RESULTS One hundred and forty nine patients underwent APE for rectal adenocarcinoma between 1998 and 2018. There were 57 patients in the pre-flap era and 92 in the post-flap era. Forty-six patients underwent flap reconstruction in the latter cohort (50%). More patients in the post-flap era underwent neoadjuvant chemoradiotherapy (85.9% vs. 63.2%; p < .01). Margin positivity rates decreased from 21.1% in the pre-flap era to 10.9% in the post-flap era (p = .10) and there was an associated improvement in incidence and time to local recurrence (p = .03). CONCLUSION The use of perineal flap reconstruction is associated with a longer median time to local recurrence. Perineal flap reconstruction may contribute to reduced margin positivity.
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Affiliation(s)
- Claudine Murphy
- Department of Colorectal Surgery, Beaumont Hospital, Dublin, Ireland
| | - Ian Stephens
- Department of Colorectal Surgery, Beaumont Hospital, Dublin, Ireland
| | - Grace OꞌFlanagan
- Department of Plastic and Reconstructive Surgery, Beaumont Hospital, Dublin, Ireland
| | - Lisa OꞌByrne
- Department of Colorectal Surgery, Beaumont Hospital, Dublin, Ireland
| | - Ian S Reynolds
- Department of Colorectal Surgery, Beaumont Hospital, Dublin, Ireland.,Department of Physiology and Medical Physics, Royal College of Surgeons in Ireland, Dublin, Ireland
| | - Nadeem Ajmal
- Department of Plastic and Reconstructive Surgery, Beaumont Hospital, Dublin, Ireland
| | - John Barry O'Sullivan
- Department of Plastic and Reconstructive Surgery, Beaumont Hospital, Dublin, Ireland
| | - Brian OꞌNeill
- Department of Radiation Oncology, Beaumont Hospital, Dublin, Ireland
| | - Joseph Deasy
- Department of Colorectal Surgery, Beaumont Hospital, Dublin, Ireland
| | - John P Burke
- Department of Colorectal Surgery, Beaumont Hospital, Dublin, Ireland
| | - Deborah A McNamara
- Department of Colorectal Surgery, Beaumont Hospital, Dublin, Ireland.,Department of Surgery, Royal College of Surgeons in Ireland, Dublin, Ireland
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22
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Xu H, Zhao W, Guo W, Cao S, Gao C, Song T, Yang L, Liu Y, Han Y, Zhang L, Wang K. Prediction Model Combining Clinical and MR Data for Diagnosis of Lymph Node Metastasis in Patients With Rectal Cancer. J Magn Reson Imaging 2020; 53:874-883. [PMID: 32978993 DOI: 10.1002/jmri.27369] [Citation(s) in RCA: 17] [Impact Index Per Article: 3.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/17/2020] [Revised: 08/29/2020] [Accepted: 09/01/2020] [Indexed: 12/31/2022] Open
Abstract
BACKGROUND Determining the status of lymph node (LN) metastasis in rectal cancer patients preoperatively is crucial for the treatment option. However, the diagnostic accuracy of current imaging methods is low. PURPOSE To develop and test a model for predicting metastatic LNs of rectal cancer patients based on clinical data and MR images to improve the diagnosis of metastatic LNs. STUDY TYPE Retrospective. SUBJECTS In all, 341 patients with histologically confirmed rectal cancer were divided into one training set (120 cases) and three validation sets (69, 103, 49 cases). FIELD STRENGTH/SEQUENCE 3.0T, axial and sagittal T2 -weighted turbo spin echo and diffusion-weighted imaging (b = 0 s/mm2 , 800 s/mm2 ) ASSESSMENT: In the training dataset, univariate logistic regression was used to identify the clinical factors (age, gender, and tumor markers) and MR data that correlated with LN metastasis. Then we developed a prediction model with these factors by multiple logistic regression analysis. The accuracy of the model was verified using three validation sets and compared with the traditional MRI method. STATISTICAL TESTS Univariate and multivariate logistic regression. The area under the curve (AUC) value was used to quantify the diagnostic accuracy of the model. RESULTS Eight factors (CEA, CA199, ADCmean, mriT stage, mriN stage, CRM, EMVI, and differentiation degree) were significantly associated with LN metastasis in rectal cancer patients (P<0.1). In the training set (120) and the three validation sets (69, 103, 49), the AUC values of the model were much higher than the diagnosis by MR alone (training set, 0.902 vs. 0.580; first validation set, 0.789 vs. 0.743; second validation set, 0.774 vs. 0.573; third validation set, 0.761 vs. 0.524). DATA CONCLUSION For the diagnosis of metastatic LNs in rectal cancer patients, our proposed logistic regression model, combining clinical and MR data, demonstrated higher diagnostic efficiency than MRI alone. LEVEL OF EVIDENCE 4 TECHNICAL EFFICACY STAGE: 2.
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Affiliation(s)
- Hanshan Xu
- PET-CT/MR Department, Harbin Medical University Cancer Hospital, Harbin City, China
| | - Wenyuan Zhao
- Bioinformatics Science and Technology College, Harbin Medical University, Harbin City, China
| | - Wenbing Guo
- Bioinformatics Science and Technology College, Harbin Medical University, Harbin City, China
| | - Shaodong Cao
- Radiology Department, Fourth Affiliated Hospital Harbin Medical University, Harbin City, China
| | - Chao Gao
- Radiology Department, Fourth Affiliated Hospital Harbin Medical University, Harbin City, China
| | - Tiantian Song
- PET-CT/MR Department, Harbin Medical University Cancer Hospital, Harbin City, China
| | - Liping Yang
- PET-CT/MR Department, Harbin Medical University Cancer Hospital, Harbin City, China
| | - Yanlong Liu
- Colorectal Surgery Department, Harbin Medical University Cancer Hospital, Harbin City, China
| | - Yu Han
- Gastroenterology and Oncology Department, Harbin Medical University Cancer Hospital, Harbin City, China
| | - Lingbo Zhang
- Head-neck and Oral Department, Second Affiliated Hospital of Harbin Medical University, Harbin City, China
| | - Kezheng Wang
- PET-CT/MR Department, Harbin Medical University Cancer Hospital, Harbin City, China
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23
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Lalwani N, Bates DDB, Arif-Tiwari H, Khandelwal A, Korngold E, Lockhart M. Baseline MR Staging of Rectal Cancer: A Practical Approach. Semin Roentgenol 2020; 56:164-176. [PMID: 33858643 DOI: 10.1053/j.ro.2020.07.008] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/11/2022]
Abstract
As therapeutic options to treat rectal cancers have advanced over the last several decades, MRI has become the standard of care for baseline local tumor and nodal staging of rectal cancers. An understanding of the technique, anatomy, tumor appearance, and elements of staging on MRI is essential to provide prognostic information and to guide neoadjuvant chemoradiation and surgical treatment. We provide a framework for imaging the rectum on MRI followed by a practical case-based approach to interpretation of pre-treatment MRI of the rectum in evaluation of rectal cancers, with examples and illustrations of the range of local tumor (T) stage and nodal (N) disease involvement. This approach can be paired with standardized reporting templates to support clear, accurate and clinically relevant imaging assessment of rectal cancers.
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Affiliation(s)
- Neeraj Lalwani
- Virginia Commonwealth University School of Medicine and VCU Health, Richmond, VA.
| | - David D B Bates
- Department of Radiology, Memorial Sloan Kettering Cancer Center, New York, NY
| | | | | | | | - Mark Lockhart
- The University of Alabama at Birmingham, Department of Radiology, Birmingham, AL
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24
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Gürses B, Böge M, Altınmakas E, Balık E. Multiparametric MRI in rectal cancer. ACTA ACUST UNITED AC 2020; 25:175-182. [PMID: 31063142 DOI: 10.5152/dir.2019.18189] [Citation(s) in RCA: 18] [Impact Index Per Article: 3.6] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/19/2022]
Abstract
MRI has a pivotal role in both pretreatment staging and posttreatment evaluation of rectal cancer. The accuracy of MRI in pretreatment staging is higher compared with posttreatment evaluation. This occurs due to similar signal intensities of tumoral and posttreatment fibrotic, necrotic, and inflamed tissue. This limitation occurs with conventional MRI of the rectum with morphologic sequences. There is a need towards increasing the accuracy of MRI, especially for posttreatment evaluation. The term multiparametric MRI implies addition of functional sequences, namely, diffusion and perfusion to the routine protocol. This review summarizes the technique, potential implications and previously published studies about multiparametric MRI of rectal cancer.
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Affiliation(s)
- Bengi Gürses
- Department of Radiology, Koç University School of Medicine, İstanbul, Turkey
| | - Medine Böge
- Department of Radiology, Koç University School of Medicine, İstanbul, Turkey
| | - Emre Altınmakas
- Department of Radiology, Koç University School of Medicine, İstanbul, Turkey
| | - Emre Balık
- Department of General Surgery, Koç University School of Medicine, İstanbul, Turkey
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25
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Abstract
In recent years, rectal MRI has become a central diagnostic tool in rectal cancer staging. Indeed, rectal MR has the ability to accurately evaluate a number of important findings that may impact patient management, including distance of the tumor to the mesorectal fascia, presence of extramural vascular invasion (EMVI), presence of lymph nodes, and involvement of the peritoneum/anterior peritoneal reflection. Many of these findings are difficult to assess in nonexpert hands. In this review, we present a practical approach for radiologists to provide high-quality interpretations at initial baseline exams, based on recent guidelines from the Society of Abdominal Radiology, Rectal and Anal Cancer Disease Focused Panel. Practical pearls and pitfalls are discussed, focusing on optimization of technique including, patient preparation and protocol recommendations, interpretation, and essentials of reporting.
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26
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Brown PJ, Hyland R, Quyn AJ, West NP, Sebag-Montefiore D, Jayne D, Sagar P, Tolan DJ. Current concepts in imaging for local staging of advanced rectal cancer. Clin Radiol 2019; 74:623-636. [PMID: 31036310 DOI: 10.1016/j.crad.2019.03.023] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/17/2018] [Accepted: 03/22/2019] [Indexed: 12/20/2022]
Abstract
Imaging of rectal cancer has an increasingly pivotal role in the diagnosis, staging, and treatment stratification of patients with the disease. This is particularly true for advanced rectal cancers where magnetic resonance imaging (MRI) findings provide essential information that can change treatment. In this review we describe the rationale for the current imaging standards in advanced rectal cancer for both morphological and functional imaging on the baseline staging and reassessment studies. In addition the clinical implications and future methods by which radiologists may improve these are outlined relative to TNM8.
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Affiliation(s)
- P J Brown
- Department of Clinical Radiology, Lincoln Wing, St James' University Hospital, Leeds Teaching Hospitals NHS Trust, Beckett Street, Leeds, LS9 7TF, UK.
| | - R Hyland
- Department of Clinical Radiology, Lincoln Wing, St James' University Hospital, Leeds Teaching Hospitals NHS Trust, Beckett Street, Leeds, LS9 7TF, UK
| | - A J Quyn
- Department of General Surgery, Lincoln Wing, St James' University Hospital, Leeds Teaching Hospitals NHS Trust, Beckett Street, Leeds, LS9 7TF, UK
| | - N P West
- Pathology and Data Analytics, Leeds Institute of Medical Research at St James's, University of Leeds, Welcome Trust Brenner Building, St James's University Hospital, Leeds, LS9 7TF, UK
| | - D Sebag-Montefiore
- Department of Clinical Oncology, Bexley Wing, St James' University Hospital, Leeds Teaching Hospitals NHS Trust, Beckett Street, Leeds, LS9 7TF, UK
| | - D Jayne
- Department of General Surgery, Lincoln Wing, St James' University Hospital, Leeds Teaching Hospitals NHS Trust, Beckett Street, Leeds, LS9 7TF, UK
| | - P Sagar
- Department of General Surgery, Lincoln Wing, St James' University Hospital, Leeds Teaching Hospitals NHS Trust, Beckett Street, Leeds, LS9 7TF, UK
| | - D J Tolan
- Department of Clinical Radiology, Lincoln Wing, St James' University Hospital, Leeds Teaching Hospitals NHS Trust, Beckett Street, Leeds, LS9 7TF, UK
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27
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Schurink NW, Lambregts DMJ, Beets-Tan RGH. Diffusion-weighted imaging in rectal cancer: current applications and future perspectives. Br J Radiol 2019; 92:20180655. [PMID: 30433814 DOI: 10.1259/bjr.20180655] [Citation(s) in RCA: 102] [Impact Index Per Article: 17.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/01/2023] Open
Abstract
This review summarizes current applications and clinical utility of diffusion-weighted imaging (DWI) for rectal cancer and in addition provides a brief overview of more recent developments (including intravoxel incoherent motion imaging, diffusion kurtosis imaging, and novel postprocessing tools) that are still in more early stages of research. More than 140 papers have been published in the last decade, during which period the use of DWI have slowly moved from mainly qualitative (visual) image interpretation to increasingly advanced methods of quantitative analysis. So far, the largest body of evidence exists for assessment of tumour response to neoadjuvant treatment. In this setting, particularly the benefit of DWI for visual assessment of residual tumour in post-radiation fibrosis has been established and is now increasingly adopted in clinics. Quantitative DWI analysis (mainly the apparent diffusion coefficient) has potential, both for response prediction as well as for tumour prognostication, but protocols require standardization and results need to be prospectively confirmed on larger scale. The role of DWI for further clinical tumour and nodal staging is less well-defined, although there could be a benefit for DWI to help detect lymph nodes. Novel methods of DWI analysis and post-processing are still being developed and optimized; the clinical potential of these tools remains to be established in the upcoming years.
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Affiliation(s)
- Niels W Schurink
- 1 Radiology, Netherlands Cancer Institute , Amsterdam , The Netherlands.,2 GROW School for Oncology and Developmental Biology , Maastricht , The Netherlands
| | | | - Regina G H Beets-Tan
- 1 Radiology, Netherlands Cancer Institute , Amsterdam , The Netherlands.,2 GROW School for Oncology and Developmental Biology , Maastricht , The Netherlands
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28
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Li C, Torres VC, Tichauer KM. Noninvasive detection of cancer spread to lymph nodes: A review of molecular imaging principles and protocols. J Surg Oncol 2018; 118:301-314. [PMID: 30196532 DOI: 10.1002/jso.25124] [Citation(s) in RCA: 11] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/09/2018] [Accepted: 05/06/2018] [Indexed: 12/20/2022]
Abstract
Identification of cancer spread to tumor-draining lymph nodes offers critical information for guiding treatment in many cancer types. Current clinical methods of nodal staging are invasive and can have substantial negative side effects. Molecular imaging protocols have long been proposed as a less invasive means of nodal staging, having the potential to enable highly sensitive and specific evaluations. This review article summarizes the current status and future perspectives for molecular targeted nodal staging.
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Affiliation(s)
- Chengyue Li
- Department of Biomedical Engineering, Illinois Institute of Technology, Chicago, Illinois
| | - Veronica C Torres
- Department of Biomedical Engineering, Illinois Institute of Technology, Chicago, Illinois
| | - Kenneth M Tichauer
- Department of Biomedical Engineering, Illinois Institute of Technology, Chicago, Illinois
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29
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Fowler KJ, Kaur H, Cash BD, Feig BW, Gage KL, Garcia EM, Hara AK, Herman JM, Kim DH, Lambert DL, Levy AD, Peterson CM, Scheirey CD, Small W, Smith MP, Lalani T, Carucci LR. ACR Appropriateness Criteria ® Pretreatment Staging of Colorectal Cancer. J Am Coll Radiol 2018; 14:S234-S244. [PMID: 28473079 DOI: 10.1016/j.jacr.2017.02.012] [Citation(s) in RCA: 60] [Impact Index Per Article: 8.6] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/27/2017] [Revised: 01/27/2017] [Accepted: 02/02/2017] [Indexed: 12/17/2022]
Abstract
Colorectal cancers are common tumors in the United States and appropriate imaging is essential to direct appropriate care. Staging and treatment differs between tumors arising in the colon versus the rectum. Local staging for colon cancer is less integral to directing therapy given radical resection is often standard. Surgical options for rectal carcinoma are more varied and rely on accurate assessment of the sphincter, circumferential resection margins, and peritoneal reflection. These important anatomic landmarks are best appreciated on high-resolution imaging with transrectal ultrasound or MRI. When metastatic disease is suspected, imaging modalities that provide a global view of the body, such as CT with contrast or PET/CT may be indicated. Rectal cancer often metastasizes to the liver and so MRI of the liver with and without contrast provides accurate staging for liver metastases. This article focuses on local and distant staging and reviews the appropriateness of different imaging for both variants. The American College of Radiology Appropriateness Criteria are evidence-based guidelines for specific clinical conditions that are reviewed annually by a multidisciplinary expert panel. The guideline development and revision include an extensive analysis of current medical literature from peer reviewed journals and the application of well-established methodologies (RAND/UCLA Appropriateness Method and Grading of Recommendations Assessment, Development, and Evaluation or GRADE) to rate the appropriateness of imaging and treatment procedures for specific clinical scenarios. In those instances where evidence is lacking or equivocal, expert opinion may supplement the available evidence to recommend imaging or treatment.
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Affiliation(s)
- Kathryn J Fowler
- Principal Author, Mallinckrodt Institute of Radiology, Saint Louis, Missouri.
| | - Harmeet Kaur
- Co-author, University of Texas, MD Anderson Cancer Center, Houston, Texas
| | - Brooks D Cash
- University of South Alabama, Mobile, Alabama; American Gastroenterological Association
| | - Barry W Feig
- University of Texas MD Anderson Cancer Center, Houston, Texas; American College of Surgeons
| | | | - Evelyn M Garcia
- Virginia Tech Carilion School of Medicine, Roanoke, Virginia
| | | | - Joseph M Herman
- Sidney Kimmel Comprehensive Cancer Center at Johns Hopkins University, Baltimore, Maryland
| | - David H Kim
- University of Wisconsin Hospital and Clinic, Madison, Wisconsin
| | - Drew L Lambert
- University of Virginia Health System, Charlottesville, Virginia
| | - Angela D Levy
- Georgetown University Hospital, Washington, District of Columbia
| | | | | | - William Small
- Stritch School of Medicine Loyola University Chicago, Maywood, Illinois
| | - Martin P Smith
- Beth Israel Deaconess Medical Center, Boston, Massachusetts
| | - Tasneem Lalani
- Speciality Chair, Inland Imaging Associates and University of Washington, Seattle, Washington
| | - Laura R Carucci
- Panel Chair, Virginia Commonwealth University Medical Center, Richmond, Virginia
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30
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Intravoxel Incoherent Motion MRI of Rectal Cancer: Correlation of Diffusion and Perfusion Characteristics With Prognostic Tumor Markers. AJR Am J Roentgenol 2018; 210:W139-W147. [PMID: 29446674 DOI: 10.2214/ajr.17.18342] [Citation(s) in RCA: 39] [Impact Index Per Article: 5.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/15/2022]
Abstract
OBJECTIVE The objective of our study was to evaluate the intravoxel incoherent motion (IVIM)-DWI derived parameters and their relationships with tumor prognostic markers using 3-T MRI in patients with rectal cancer. SUBJECTS AND METHODS Fifty-two patients with histopathologically proven rectal cancer who underwent preoperative pelvic MRI were prospectively enrolled in this study. Diffusion and perfusion parameters including the apparent diffusion coefficient (ADC), pure diffusion coefficient, perfusion fraction, and pseudodiffusion coefficient derived from IVIMDWI were independently measured by two radiologists. Comparisons of IVIM-DWI-derived parameters in patients with different tumor prognostic markers were made using the independent-samples t test, ANOVA, and Mann-Whitney U test. The correlations between IVIM-DWI-derived parameters and tumor grade and tumor stage were further evaluated using Spearman correlation analysis. Interobserver agreement was evaluated using the intraclass correlation coefficient (ICC). RESULTS Excellent interobserver reproducibility was obtained for the IVIM-DWI-derived parameters (range of ICCs with 95% limits of agreement = 0.9309-0.9948, which is narrow). ADC, pseudodiffusion coefficient, and perfusion fraction tended to rise with greater tumor differentiation (r = 0.520, p < 0.001; r = 0.447, p = 0.001; r = 0.354, p = 0.010, respectively). The pure diffusion coefficient and pseudodiffusion coefficient showed a trend of decreasing with increasing tumor stages (r = 0.479, p < 0.001; r = 0.517, p < 0.001). The group of patients with extramural vascular invasion (EMVI) showed lower pseudodiffusion coefficient values than the group of patients with no EMVI (p < 0.05). CONCLUSION IVIM-DWI-derived parameters in patients with rectal cancer, especially the pseudodiffusion coefficient, are associated with tumor grade and tumor stage and show statistically significant differences between subjects with EMVI and those without EMVI. IVIM-DWI-derived parameters would be helpful in predicting tumor aggressiveness and prognosis.
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31
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Liu Y, Wang R, Ding Y, Tu S, Liu Y, Qian Y, Xu L, Tong T, Cai S, Peng J. A predictive nomogram improved diagnostic accuracy and interobserver agreement of perirectal lymph nodes metastases in rectal cancer. Oncotarget 2018; 7:14755-64. [PMID: 26910373 PMCID: PMC4924749 DOI: 10.18632/oncotarget.7548] [Citation(s) in RCA: 11] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/07/2015] [Accepted: 01/29/2016] [Indexed: 12/19/2022] Open
Abstract
Objective To develop a predictive nomogram to improve the diagnostic accuracy and interobserver agreement of pre-therapeutic lymph nodes metastases in patients with rectal cancer. Materials and Methods An institutional database of 411 patients with rectal cancer was used to develop a nomogram to predict perirectal lymph nodes metastases. Patients' clinicopathological and MRI-assessed imaging variables were included in the multivariate logistic regression analysis. The model was externally validated and the performance was assessed by area under curve (AUC) of the receiver operator characteristics (ROC) curves. The interobserver agreement was measured between two independent radiologists. Results The diagnostic accuracy of the conventional MRI-assessed cN stage was 68%; 14.2% of the patients were over-staged and 17.8% of the patients were under-staged. A total of 35.1% of the patients had disagreed diagnosis for the cN stage between the two radiologists, with a kappa value of 0.295. A nomogram for predicting pathological lymph nodes metastases was successfully developed, with an AUC of 0.78 on the training data and 0.71 on the validation data. The predictors included in the nomogram were MRI cT stage, CRM involvement, preoperative CEA, tumor grade and lymph node size category. This nomogram yielded improved prediction in cN stage than the conventional MRI-based assessment. Conclusions By incorporating clinicopathological and MRI imaging features, we established a nomogram that improved the diagnostic accuracy and remarkably minimized the interobserver disagreement in predicting lymph nodes metastases in rectal cancers.
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Affiliation(s)
- Yongfeng Liu
- Institute of Health Sciences, Shanghai Jiao Tong University School of Medicine (SJTUSM) and Shanghai Institutes for Biological Sciences (SIBS), Chinese Academy of Sciences (CAS), Shanghai, China
| | - Renjie Wang
- Department of Colorectal Surgery, Fudan University Shanghai Cancer Center, Shanghai, China.,Department of Oncology, Shanghai Medical College, Fudan University, Shanghai, China
| | - Ying Ding
- Department of Biostatistics, University of Pittsburgh, Pittsburgh, PA, USA
| | - Shanshan Tu
- Department of Biostatistics, University of Pittsburgh, Pittsburgh, PA, USA
| | - Yi Liu
- Department of Statistics, Ohio State University, Columbus, OH, USA
| | - Youcun Qian
- Institute of Health Sciences, Shanghai Jiao Tong University School of Medicine (SJTUSM) and Shanghai Institutes for Biological Sciences (SIBS), Chinese Academy of Sciences (CAS), Shanghai, China
| | - Linghui Xu
- Department of Oncology, Shanghai Medical College, Fudan University, Shanghai, China.,Department of Radiology, Fudan University Shanghai Cancer Center, Shanghai, China
| | - Tong Tong
- Department of Oncology, Shanghai Medical College, Fudan University, Shanghai, China.,Department of Radiology, Fudan University Shanghai Cancer Center, Shanghai, China
| | - Sanjun Cai
- Department of Colorectal Surgery, Fudan University Shanghai Cancer Center, Shanghai, China.,Department of Oncology, Shanghai Medical College, Fudan University, Shanghai, China
| | - Junjie Peng
- Department of Colorectal Surgery, Fudan University Shanghai Cancer Center, Shanghai, China.,Department of Oncology, Shanghai Medical College, Fudan University, Shanghai, China
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32
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Kogler P, DeVries AF, Eisterer W, Thaler J, Sölkner L, Öfner D. Intensified preoperative chemoradiation by adding oxaliplatin in locally advanced, primary operable (cT3NxM0) rectal cancer : Impact on long-term outcome. Results of the phase II TAKO 05/ABCSG R‑02 trial. Strahlenther Onkol 2017; 194:41-49. [PMID: 29127435 PMCID: PMC5752742 DOI: 10.1007/s00066-017-1219-5] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/26/2017] [Accepted: 09/19/2017] [Indexed: 12/14/2022]
Abstract
Purpose The major goals of preoperative treatment for locally advanced rectal cancers (LARCs) are improvement of local tumor control, tumor downsizing, and downstaging. Modifications with respect to standardized chemoradiation protocol, e. g., integrating oxaliplatin, are realized with the aim of improving primary tumor response and patient outcome. Patients and methods In this phase II multicenter study, patients with LARC of the mid- or lower rectum, cT3cNxcM0 as staged by MRI, were included and treated preoperatively with a combination of capecitabine and oxaliplatin following a standardized protocol during radiation. The focus of this long-term analysis was overall (OS) and disease-free survival (DFS). Results A total of 60 patients (19 women, 41 men, median age 60.5 years) were initially enrolled, 1 patient was excluded (violation of study protocol), and 1 was patient lost of follow-up, leading to a total of 58 patients for long-term analysis. The 3‑year OS was 85.5%; 3‑year DFS 71.2%. Over time, 15 patients (25.9%) developed tumor recurrence (1 locoregional, 6.7%; 11 distant, 73.3%; 3 locoregional+distant, 20%). Recurrence-specific therapy was planned in the majority of patients, in 9 of 15 patients (60%) with a radical surgical approach. Of these, 4 patients (44.4%) are again tumor-free at the end of investigation. While tumor downsizing (T level) or pathologically complete response did not influence patient survival, lymph node negativity (LNneg) after preoperative chemoradiation showed significant influence. Conclusion LNneg after preoperative treatment for LARC significantly influences patient survival. A radical surgical approach for recurrent LARC (locoregional, distant) should be contemplated when possible as we were able to clearly demonstrate its importance and efficacy.
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Affiliation(s)
- P Kogler
- Department of Visceral, Transplant and Thoracic Surgery, Medical University of Innsbruck, Anichstr. 35, 6020, Innsbruck, Austria
| | - A F DeVries
- Department of Radio-Oncology, Feldkirch Hospital, Feldkirch, Austria
| | - W Eisterer
- Division of Oncology, Department of Internal Medicine, Klagenfurt Hospital, Klagenfurt, Austria
| | - J Thaler
- Department of Internal Medicine IV, Wels-Grieskirchen Hospital, Wels, Austria
| | - L Sölkner
- Austrian Breast and Colorectal Cancer Study Group, Vienna, Austria
| | - D Öfner
- Department of Visceral, Transplant and Thoracic Surgery, Medical University of Innsbruck, Anichstr. 35, 6020, Innsbruck, Austria.
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Liu S, Zhang Y, Chen L, Guan W, Guan Y, Ge Y, He J, Zhou Z. Whole-lesion apparent diffusion coefficient histogram analysis: significance in T and N staging of gastric cancers. BMC Cancer 2017; 17:665. [PMID: 28969606 PMCID: PMC5625824 DOI: 10.1186/s12885-017-3622-9] [Citation(s) in RCA: 28] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/12/2016] [Accepted: 08/28/2017] [Indexed: 01/01/2023] Open
Abstract
BACKGROUND Whole-lesion apparent diffusion coefficient (ADC) histogram analysis has been introduced and proved effective in assessment of multiple tumors. However, the application of whole-volume ADC histogram analysis in gastrointestinal tumors has just started and never been reported in T and N staging of gastric cancers. METHODS Eighty patients with pathologically confirmed gastric carcinomas underwent diffusion weighted (DW) magnetic resonance imaging before surgery prospectively. Whole-lesion ADC histogram analysis was performed by two radiologists independently. The differences of ADC histogram parameters among different T and N stages were compared with independent-samples Kruskal-Wallis test. Receiver operating characteristic (ROC) analysis was performed to evaluate the performance of ADC histogram parameters in differentiating particular T or N stages of gastric cancers. RESULTS There were significant differences of all the ADC histogram parameters for gastric cancers at different T (except ADCmin and ADCmax) and N (except ADCmax) stages. Most ADC histogram parameters differed significantly between T1 vs T3, T1 vs T4, T2 vs T4, N0 vs N1, N0 vs N3, and some parameters (ADC5%, ADC10%, ADCmin) differed significantly between N0 vs N2, N2 vs N3 (all P < 0.05). Most parameters except ADCmax performed well in differentiating different T and N stages of gastric cancers. Especially for identifying patients with and without lymph node metastasis, the ADC10% yielded the largest area under the ROC curve of 0.794 (95% confidence interval, 0.677-0.911). All the parameters except ADCmax showed excellent inter-observer agreement with intra-class correlation coefficients higher than 0.800. CONCLUSION Whole-volume ADC histogram parameters held great potential in differentiating different T and N stages of gastric cancers preoperatively.
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Affiliation(s)
- Song Liu
- Department of Radiology, Nanjing Drum Tower Hospital, The Affiliated Hospital of Nanjing University Medical School, Nanjing, 210008 China
| | - Yujuan Zhang
- Department of Radiology, Nanjing Drum Tower Hospital, The Affiliated Hospital of Nanjing University Medical School, Nanjing, 210008 China
| | - Ling Chen
- Department of Pathology, Nanjing Drum Tower Hospital, The Affiliated Hospital of Nanjing University Medical School, Nanjing, 210008 China
| | - Wenxian Guan
- Department of Gastrointestinal Surgery, Nanjing Drum Tower Hospital, The Affiliated Hospital of Nanjing University Medical School, Nanjing, 210008 China
| | - Yue Guan
- School of Electronic Science and Engineering, Nanjing University, Nanjing, 210046 China
| | - Yun Ge
- School of Electronic Science and Engineering, Nanjing University, Nanjing, 210046 China
| | - Jian He
- Department of Radiology, Nanjing Drum Tower Hospital, The Affiliated Hospital of Nanjing University Medical School, Nanjing, 210008 China
| | - Zhengyang Zhou
- Department of Radiology, Nanjing Drum Tower Hospital, The Affiliated Hospital of Nanjing University Medical School, Nanjing, 210008 China
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Tanishima H, Kimura M, Tominaga T, Iwakura S, Hoshida Y, Horiuchi T. Lateral lymph node metastasis in a patient with T1 upper rectal cancer treated by lateral lymph node dissection: a case report and brief literature review. Surg Case Rep 2017; 3:93. [PMID: 28836143 PMCID: PMC5568184 DOI: 10.1186/s40792-017-0366-3] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/26/2017] [Accepted: 08/17/2017] [Indexed: 12/20/2022] Open
Abstract
Background Lateral lymph node (LLN) metastasis may occur in patients with advanced rectal cancers of which the lower margins are located at or below the peritoneal reflection. However, LLN metastasis from a T1 rectal cancer is rare. Here, we report a case of LLN metastasis from a T1 upper rectal cancer that was successfully treated by sequential LLN dissection. Case presentation A 56-year-old man was referred to our hospital for the treatment of a T1 upper rectal cancer. We performed a laparoscopic low anterior resection. Histological examination showed a moderately differentiated adenocarcinoma with submucosal layer invasion; the invasion depth was classified as head invasion, without vessel or lymph duct invasion. Tumor budding was classified as grade 1. A total of six lymph nodes were harvested, and no lymph node metastases were detected. The postoperative course was uneventful. At 6 months after surgery, however, the serum carcinoembryonic antigen levels were elevated, and abdominal computed tomography (CT) revealed swollen lymph nodes in the right internal and common iliac artery area. Positron emission tomography with CT revealed hot spots in the same lesions. A retrospective re-evaluation of the preoperative CT images revealed no apparent swollen lymph nodes; however, an unusual soft tissue area was detected around the right internal iliac artery. A right LLN dissection was performed. Fifteen lymph nodes were resected, and histologically, metastases of adenocarcinoma were identified in 3 nodes. The postoperative course was again uneventful. The patient was given 12 cycles of adjuvant chemotherapy with FOLFOX (fluorouracil, leucovorin, and oxaliplatin). The patient remains healthy and with no signs of recurrence at 30 months after the second surgery. Conclusions LLN metastasis occurs very rarely in patients with T1 upper rectal cancer and no risk factors for lymph node metastasis; however, a careful perioperative examination of the LLN should be performed. In cases involving LLN metastasis, a LLN dissection may be a therapeutic option if performed with curative intent.
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Affiliation(s)
- Hiroyuki Tanishima
- Department of Surgery, National Hospital Organization, Osaka Minami Medical Center, 2-1 Kidohigashimachi, Kawachinagano, Osaka, Japan.
| | - Masamichi Kimura
- Department of Surgery, National Hospital Organization, Osaka Minami Medical Center, 2-1 Kidohigashimachi, Kawachinagano, Osaka, Japan
| | - Toshiji Tominaga
- Department of Surgery, National Hospital Organization, Osaka Minami Medical Center, 2-1 Kidohigashimachi, Kawachinagano, Osaka, Japan
| | - Shinji Iwakura
- Department of Surgery, National Hospital Organization, Osaka Minami Medical Center, 2-1 Kidohigashimachi, Kawachinagano, Osaka, Japan
| | - Yoshihiko Hoshida
- Department of Pathology, National Hospital Organization, Osaka Minami Medical Center, 2-1 Kidohigashimachi, Kawachinagano, Osaka, 586-8521, Japan
| | - Tetsuya Horiuchi
- Department of Surgery, National Hospital Organization, Osaka Minami Medical Center, 2-1 Kidohigashimachi, Kawachinagano, Osaka, Japan
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Kong XC, Xiong LY, Gazyakan E, Engel H, Kneser U, Nüssler AK, Hirche C, Kong XQ. Diagnostic power of diffusion-weighted magnetic resonance imaging for the presence of lymph node metastasis: A meta-analysis. JOURNAL OF HUAZHONG UNIVERSITY OF SCIENCE AND TECHNOLOGY. MEDICAL SCIENCES = HUA ZHONG KE JI DA XUE XUE BAO. YI XUE YING DE WEN BAN = HUAZHONG KEJI DAXUE XUEBAO. YIXUE YINGDEWEN BAN 2017; 37:469-474. [PMID: 28786054 DOI: 10.1007/s11596-017-1759-z] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.1] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 06/10/2016] [Revised: 03/29/2017] [Indexed: 10/18/2022]
Abstract
Present work was designed to quantitatively evaluate the performance of diffusion-weighted magnetic resonance imaging (DWI) in the diagnosis of the presence of metastasis in lymph nodes (LNs). Eligible studies were identified from systematical PubMed and EMBASE searches. Data were extracted. Meta-analyses were performed to generate pooled sensitivity and specificity on the basis of per-node, per-lesion and per-patient, respectively. Fourteen publications (2458 LNs, 404 lesions and 334 patients) were eligible. Per-node basis demonstrated the pooled sensitivity and specificity was 0.82 (P<0.0001) and 0.90 (P<0.0001), respectively. Per-lesion basis illustrated the pooled sensitivity and specificity was 0.73 (P=0.0036) and 0.85 (P<0.0001), respectively. Per-patient basis indicated the pooled sensitivity and specificity was 0.67 (P=0.0909) and 0.86 (P<0.0001), respectively. In conclusion, DWI has rather a negative predictive value for the diagnosis of LN metastasis presence. The difference of the mean apparent diffusion coefficients between benign and malignant LNs is not yet stable. Therefore, the DWI technique has to be further improved.
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Affiliation(s)
- Xiang-Chuang Kong
- Department of Radiology, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430022, China.
| | - Ling-Yun Xiong
- Department of Plastic and Reconstructive Surgery, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430022, China
- Department of Hand-Plastic and Reconstructive Surgery, Burn Center, BG Trauma Center Ludwigshafen, University of Heidelberg, 67071, Ludwigshafen, Germany
| | - Emre Gazyakan
- Department of Hand-Plastic and Reconstructive Surgery, Burn Center, BG Trauma Center Ludwigshafen, University of Heidelberg, 67071, Ludwigshafen, Germany
- Department of Hand-Plastic and Reconstructive Surgery, Medical Center Kassel, 34109, Kassel, Germany
| | - Holger Engel
- Department of Hand-Plastic and Reconstructive Surgery, Burn Center, BG Trauma Center Ludwigshafen, University of Heidelberg, 67071, Ludwigshafen, Germany
| | - Ulrich Kneser
- Department of Hand-Plastic and Reconstructive Surgery, Burn Center, BG Trauma Center Ludwigshafen, University of Heidelberg, 67071, Ludwigshafen, Germany
| | - Andreas K Nüssler
- BG Trauma Center, Siegfried Weller Institut, Eberhard-Karls-University Tuebingen, Schnarrenbergstr. 95, 72076, Tübingen, Germany
| | - Christoph Hirche
- Department of Hand-Plastic and Reconstructive Surgery, Burn Center, BG Trauma Center Ludwigshafen, University of Heidelberg, 67071, Ludwigshafen, Germany
| | - Xiang-Quan Kong
- Department of Radiology, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430022, China.
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Gangadhar K, Mahajan A, Sable N, Bhargava P. Magnetic Resonance Imaging of Pelvic Masses: A Compartmental Approach. Semin Ultrasound CT MR 2017; 38:213-230. [PMID: 28705369 DOI: 10.1053/j.sult.2016.11.004] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/08/2023]
Abstract
Magnetic resonance imaging (MRI) is often "one stop shop" for evaluating female pelvic masses that helps in diagnosis, staging, and restaging of these tumors. A pelvic mass can arise from any tissue present within the pelvis. Although most masses in the female pelvis arise from the reproductive organs, masses may also arise from the gastrointestinal tract, urinary system, adjacent soft tissues, peritoneum, etc. It may not always be possible to determine the site of origin or distinguish these masses based on imaging characteristics. However, familiarity with the clinicopathologic and MRI features of most common pelvic masses helps in narrowing the differential diagnosis. Diagnosis of these masses needs a holistic approach as required for any tumor including clinical history, laboratory data, and imaging characteristics. We focus on MRI characteristics of commonly encountered pelvic masses. A compartmental imaging approach is discussed in this article that helps in identifying and characterizing these masses.
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Affiliation(s)
- Kiran Gangadhar
- Department of Radiology, University of Washington School of Medicine, Seattle, WA
| | | | - Nilesh Sable
- Department of Radiology, Tata Memorial Hospital, Mumbai, India
| | - Puneet Bhargava
- Department of Radiology, University of Washington School of Medicine, Seattle, WA.
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Granata V, Fusco R, Reginelli A, Roberto L, Granata F, Rega D, Rotondo A, Grassi R, Izzo F, Petrillo A. Radiological assessment of anal cancer: an overview and update. Infect Agent Cancer 2016; 11:52. [PMID: 27752279 PMCID: PMC5062854 DOI: 10.1186/s13027-016-0100-y] [Citation(s) in RCA: 16] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/11/2016] [Accepted: 09/27/2016] [Indexed: 12/27/2022] Open
Abstract
Anal cancer is uncommon neoplasm with an incidence of 2 new cases per 100,000 per year in the USA, accounting approximately 0.4 % of all tumors and 2.5 % of gastrointestinal malignancies. An early detection of the anal cancer is crucial for the patient management, whereas the diagnosis at an early stage allows conservative management with sphincter sparing, on the contrary a delays in diagnosis might lead to an advance cancer stage at presentation with worst survival. According to National Comprehensive Cancer Network (NCCN) Anal Carcinoma guidelines the patients should be subjected to a careful clinical examination, including a digital rectal examination (DRE), an anoscopic examination, and palpation of inguinal nodes. The guidelines recommended for the assessment of T stage, only a clinical examination, while the role of imaging techniques, as Magnetic Resonance imaging (MRI) is limited to the identification of regional nodes. Instead, the endoanal ultrasound (EAUS) is not recommended. This paper presents an overview and some updates about 3D EAUS and MRI in detection, staging and assessment post therapy of anal cancer patients.
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Affiliation(s)
- Vincenza Granata
- Division of Radiology, Department of Diagnostic Imaging, Radiant and Metabolic Therapy, "Istituto Nazionale Tumori Fondazione Giovanni Pascale - IRCCS", Naples, Italy
| | - Roberta Fusco
- Division of Radiology, Department of Diagnostic Imaging, Radiant and Metabolic Therapy, "Istituto Nazionale Tumori Fondazione Giovanni Pascale - IRCCS", Naples, Italy
| | - Alfonso Reginelli
- Department of Internal and Experimental Medicine, Magrassi-Lanzara, Institute of Radiology, Second University of Naples, Naples, Italy
| | - Luca Roberto
- Department of Internal and Experimental Medicine, Magrassi-Lanzara, Institute of Radiology, Second University of Naples, Naples, Italy
| | - Francesco Granata
- Department of Civil and Mechanical Engineering, University of Cassino and Southern Lazio, Cassino, Italy
| | - Daniela Rega
- Department of Colorectal Surgical Oncology, "Istituto Nazionale Tumori Fondazione Giovanni Pascale - IRCCS", Naples, Italy
| | - Antonio Rotondo
- Department of Internal and Experimental Medicine, Magrassi-Lanzara, Institute of Radiology, Second University of Naples, Naples, Italy
| | - Roberto Grassi
- Department of Internal and Experimental Medicine, Magrassi-Lanzara, Institute of Radiology, Second University of Naples, Naples, Italy
| | - Francesco Izzo
- Department of Surgical Oncology, "Istituto Nazionale Tumori IRCCS Fondazione Pascale - IRCCS di Napoli", Naples, Italy
| | - Antonella Petrillo
- Division of Radiology, Department of Diagnostic Imaging, Radiant and Metabolic Therapy, "Istituto Nazionale Tumori Fondazione Giovanni Pascale - IRCCS", Naples, Italy
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Barral M, Eveno C, Hoeffel C, Boudiaf M, Bazeries P, Foucher R, Pocard M, Dohan A, Soyer P. Diffusion-weighted magnetic resonance imaging in colorectal cancer. J Visc Surg 2016; 153:361-369. [PMID: 27618699 DOI: 10.1016/j.jviscsurg.2016.08.004] [Citation(s) in RCA: 17] [Impact Index Per Article: 1.9] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/28/2022]
Abstract
Magnetic resonance imaging (MRI) plays now a major role in patients with colorectal cancer regarding tumor staging, surgical planning, therapeutic decision, assessment of tumor response to chemoradiotherapy and surveillance of rectal cancer, and detection and characterization of liver or peritoneal metastasis of colorectal cancers. Diffusion-weighted MRI (DW-MRI) is a functional imaging tool that is now part of the standard MRI protocol for the investigation of patients with colorectal cancer. DW-MRI reflects micro-displacements of water molecules in tissues and conveys high degrees of accuracy to discriminate between benign and malignant colorectal conditions. Thus, in addition to morphological imaging, DW-MRI has an important role to accurately detect colorectal neoplasms and peritoneal implants, to differentiate benign focal liver lesions from metastases and to detect tumor relapse within fibrotic changes. This review provides a comprehensive overview of basic principles, clinical applications and future trends of DW-MRI in colorectal cancers.
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Affiliation(s)
- M Barral
- Department of Body and Interventional Imaging, Hôpital Lariboisière, Assistance publique-Hôpitaux de Paris, 2, rue Ambroise-Paré, 75475 Paris, France; Université Diderot-Paris 7, Sorbonne Paris Cité, Hôpital Lariboisière, 2, rue Ambroise-Paré, 75010 Paris, France; UMR INSERM 965, Hôpital Lariboisière, 2, rue Ambroise-Paré, 75010 Paris, France
| | - C Eveno
- Department of digestive surgery, Hôpital Lariboisière, 2, rue Ambroise-Paré, 75010 Paris, France
| | - C Hoeffel
- Department of Radiology, Hôpital Robert-Debré, CHU de Reims, 51092 Reims cedex, France
| | - M Boudiaf
- Department of Body and Interventional Imaging, Hôpital Lariboisière, Assistance publique-Hôpitaux de Paris, 2, rue Ambroise-Paré, 75475 Paris, France
| | - P Bazeries
- Department of Body and Interventional Imaging, Hôpital Lariboisière, Assistance publique-Hôpitaux de Paris, 2, rue Ambroise-Paré, 75475 Paris, France.
| | - R Foucher
- Department of Body and Interventional Imaging, Hôpital Lariboisière, Assistance publique-Hôpitaux de Paris, 2, rue Ambroise-Paré, 75475 Paris, France; Université Diderot-Paris 7, Sorbonne Paris Cité, Hôpital Lariboisière, 2, rue Ambroise-Paré, 75010 Paris, France
| | - M Pocard
- Université Diderot-Paris 7, Sorbonne Paris Cité, Hôpital Lariboisière, 2, rue Ambroise-Paré, 75010 Paris, France; UMR INSERM 965, Hôpital Lariboisière, 2, rue Ambroise-Paré, 75010 Paris, France; Department of digestive surgery, Hôpital Lariboisière, 2, rue Ambroise-Paré, 75010 Paris, France
| | - A Dohan
- UMR INSERM 965, Hôpital Lariboisière, 2, rue Ambroise-Paré, 75010 Paris, France
| | - P Soyer
- Université Diderot-Paris 7, Sorbonne Paris Cité, Hôpital Lariboisière, 2, rue Ambroise-Paré, 75010 Paris, France; UMR INSERM 965, Hôpital Lariboisière, 2, rue Ambroise-Paré, 75010 Paris, France.
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Sotoudeh H, Sharma A, Fowler KJ, McConathy J, Dehdashti F. Clinical application of PET/MRI in oncology. J Magn Reson Imaging 2016; 44:265-76. [DOI: 10.1002/jmri.25161] [Citation(s) in RCA: 40] [Impact Index Per Article: 4.4] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/26/2014] [Accepted: 12/31/2015] [Indexed: 12/19/2022] Open
Affiliation(s)
- Houman Sotoudeh
- Edward Mallinckrodt Institute of Radiology; Washington University School of Medicine; St. Louis Missouri USA
- Washington University School of Medicine; St. Louis Missouri USA
| | - Akash Sharma
- Edward Mallinckrodt Institute of Radiology; Washington University School of Medicine; St. Louis Missouri USA
- Washington University School of Medicine; St. Louis Missouri USA
| | - Kathryn J. Fowler
- Edward Mallinckrodt Institute of Radiology; Washington University School of Medicine; St. Louis Missouri USA
- Washington University School of Medicine; St. Louis Missouri USA
- Edward Mallinckrodt Institute of Radiology; Alvin J. Siteman Cancer Center; Washington University School of Medicine; St. Louis Missouri USA
| | - Jonathan McConathy
- Edward Mallinckrodt Institute of Radiology; Washington University School of Medicine; St. Louis Missouri USA
- Washington University School of Medicine; St. Louis Missouri USA
- Edward Mallinckrodt Institute of Radiology; Alvin J. Siteman Cancer Center; Washington University School of Medicine; St. Louis Missouri USA
| | - Farrokh Dehdashti
- Edward Mallinckrodt Institute of Radiology; Washington University School of Medicine; St. Louis Missouri USA
- Washington University School of Medicine; St. Louis Missouri USA
- Edward Mallinckrodt Institute of Radiology; Alvin J. Siteman Cancer Center; Washington University School of Medicine; St. Louis Missouri USA
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Ogawa S, Itabashi M, Hirosawa T, Hashimoto T, Bamba Y, Okamoto T. Diagnosis of lateral pelvic lymph node metastasis of T1 lower rectal cancer using diffusion-weighted magnetic resonance imaging: A case report with lateral pelvic lymph node dissection of lower rectal cancer. Mol Clin Oncol 2016; 4:817-820. [PMID: 27123286 DOI: 10.3892/mco.2016.797] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/11/2015] [Accepted: 02/25/2016] [Indexed: 12/20/2022] Open
Abstract
The present study presented a 35-year-old female patient in whom fecal occult blood was detected in a medical check-up. Colonoscopy revealed a superficial elevated-type tumor with central depression in the lower rectum. The tumor was diagnosed as T1 deep invasive cancer. No swollen lymph nodes or distant metastasis were found on computed tomography or [18F]-fluorodeoxyglucose-positron emission tomography with computed tomography. However, a swollen right lateral pelvic lymph node (LPLN; short axis 4 mm) was revealed on magnetic resonance imaging (MRI). This lymph node exhibited high intensity on diffusion-weighted imaging (DWI), suggesting metastasis. Low anterior resection, regional lymph node dissection and right LPLN dissection (LPLD) were performed. Histological analysis revealed metastasis in the right LPLN, as suggested by the high DWI intensity. The indication for LPLD in the current Japanese guidelines is based on the tumor location and depth of invasion (≥T3), however, not on the status of LPLN metastasis in pre-operative evaluation. The present case was cT1, which is not included in this indication. DWI is sensitive for the diagnosis of lymph node metastasis of colorectal cancer, although inflammation-induced swelling of lymph nodes in advanced rectal cancer may cause a false-positive result, which is uncommon in T1 cases. Therefore, an LPLN with a high intensity DWI signal in T1 cases is likely to be metastasis-positive. Pre-operative DWI-MRI may be useful for identifying LPLN metastasis when planning the treatment strategy in these cases. The present study suggested reinvestigation of the indication for LPLD with inclusion of LPLN status on pre-operative imaging.
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Affiliation(s)
- Shimpei Ogawa
- Department of Surgery II, School of Medicine, Tokyo Women's Medical University, Shinjuku-ku, Tokyo 162-8666, Japan
| | - Michio Itabashi
- Department of Surgery II, School of Medicine, Tokyo Women's Medical University, Shinjuku-ku, Tokyo 162-8666, Japan
| | - Tomoichiro Hirosawa
- Department of Surgery II, School of Medicine, Tokyo Women's Medical University, Shinjuku-ku, Tokyo 162-8666, Japan
| | - Takuzo Hashimoto
- Department of Surgery II, School of Medicine, Tokyo Women's Medical University, Shinjuku-ku, Tokyo 162-8666, Japan
| | - Yoshiko Bamba
- Department of Surgery II, School of Medicine, Tokyo Women's Medical University, Shinjuku-ku, Tokyo 162-8666, Japan
| | - Takahiro Okamoto
- Department of Surgery II, School of Medicine, Tokyo Women's Medical University, Shinjuku-ku, Tokyo 162-8666, Japan
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Zhong J, Zhao W, Ma W, Ren F, Qi S, Zheng J, Wang X, Lv T, Su Z, Yin H, Ren J, Huan Y. DWI as a Quantitative Biomarker in Predicting Chemotherapeutic Efficacy at Multitime Points on Gastric Cancer Lymph Nodes Metastases. Medicine (Baltimore) 2016; 95:e3236. [PMID: 27043694 PMCID: PMC4998555 DOI: 10.1097/md.0000000000003236] [Citation(s) in RCA: 10] [Impact Index Per Article: 1.1] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/13/2022] Open
Abstract
The purpose of the hypothesis testing is to determine that apparent diffusion coefficient (ADC) as an early biomarker can predict the metastatic lymph nodes' (LNs) response to neoadjuvant chemotherapy in advanced gastric cancer (GC) in early stage. From March 2011 to June 2015, 106 patients with advanced GC were enrolled in the study. Patients underwent conventional magnetic resonance imaging and functional diffusion weighted imaging before and 3 days, 7 days, 30 days, and 60 days following the standard chemotherapy. After surgery, among 3034 detected LNs, the positive group was divided into complete response (CR) group, partial response (PR) group, and stable disease (SD) group in accordance to the Response Evaluation Criteria in Solid Tumors (RECIST) 1.1. Mean ADCs, short/long diameters of LNs before chemotherapy between the whole positive and the negative LNs were compared by t test. Changes of mean ADCs in 3 groups were analyzed by 1-way ANOVA. The mean ADC of the whole positive LNs was (1.145 ± 0.014) × 10⁻³ mm²/s, which was significantly lower than that of the whole negative LNs ([1.491 ± 0.010] × 10⁻³ mm²/s; P < 0.05). The means of both short/long diameters in the whole positive LNs were significantly longer than those in the whole negative LNs (P < 0.05). In CR, PR, and SD groups, the mean ADC of metastatic LNs on the 3rd day, 7th day, 13th day, and 16th day following the chemotherapy were all higher than that of LNs before chemotherapy, respectively (all P < 0.05). In addition, significant difference was found between mean ADCs in any 2 time points (all P < 0.05), except between mean ADCs in the 3rd day and in the 7th day of the chemotherapy. In conclusion, ADC can be used as an early biomarker to predict the metastatic LNs' response to neoadjuvant chemotherapy in advanced GC in early stage.
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Affiliation(s)
- Jinman Zhong
- From the Department of Radiology (JZ, WZ, WM, FR, SQ, JZ, HY, JR, YH), Xijing Hospital, Fourth Military Medical University, Xi'an, Shaanxi, China; and Department of Radiology (XW, TL, ZS, JR), Feinberg School of Medicine, Northwestern University, Chicago, IL
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Gourtsoyianni S, Papanikolaou N. Role of Magnetic Resonance Imaging in Primary Rectal Cancer-Standard Protocol and Beyond. Semin Ultrasound CT MR 2016; 37:323-30. [PMID: 27342896 DOI: 10.1053/j.sult.2016.02.004] [Citation(s) in RCA: 7] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/25/2023]
Abstract
New-generation magnetic resonance imaging (MRI) scanners with optimal phased-array body coils have contributed to obtainment of high-resolution T2-weighted turbo spin echo images in which visualization of anatomical details such as the mesorectal fascia and the bowel wall layers is feasible. Preoperative, locoregional staging of rectal cancer with MRI, considered standard of care nowadays, relies on these images for stratification of high-risk patients for local recurrence, patients most likely to benefit from neoadjuvant therapy, as well as patients who exhibit imaging features indicative of a high risk of metastatic disease. Functional imaging, including optimized for rectal cancer diffusion-weighted imaging and more recently use of dynamic contrast-enhanced MRI, combined with radiologists׳ rising level of familiarity regarding the assessment of reactive changes postchemoradiation treatment, have shown to increase MRI staging accuracy after neoadjuvant treatment. Our intention is to review already established standard protocols for primary rectal cancer and go through potential additional promising imaging tools.
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Affiliation(s)
- Sofia Gourtsoyianni
- Department of Radiology, Guy׳s and St Thomas׳ NHS Foundation Trust, London, UK.
| | - Nickolas Papanikolaou
- Department of Radiology, Champalimaud Foundation, Centre for the Unknown, Lisbon, Portugal
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Ryu KH, Kim SH, Yoon JH, Lee Y, Paik JH, Lim YJ, Lee KH. Diffusion-weighted imaging for evaluating lymph node eradication after neoadjuvant chemoradiation therapy in locally advanced rectal cancer. Acta Radiol 2016; 57:133-41. [PMID: 25638800 DOI: 10.1177/0284185114568908] [Citation(s) in RCA: 14] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/14/2014] [Accepted: 12/31/2014] [Indexed: 01/15/2023]
Abstract
BACKGROUND As lymph node (LN) eradication is the prerequisite for clinical surveillance or local excision for patients who have achieved a complete response after preoperative chemoradiation therapy (CRT), the radiological evaluation of LN eradication is important. PURPOSE To evaluate the added value of diffusion-weighted imaging (DWI) in the evaluation of LN eradication after CRT in patients with locally advanced rectal cancer (LARC). MATERIAL AND METHODS Ninety-five consecutive patients (64 men, 31 women; mean age, 59 years; range, 32-82 years) who underwent pre- and post-CRT 1.5-T MRI with DWI (b = 0, 1000 s/mm(2)) were enrolled. To evaluate the added value of DWI in the evaluation of LN eradication after CRT, two radiologists first independently read the pre- and post-CRT T2-weighted (T2W) images and then read the combined T2W imaging set and the pre- and post-CRT DWIs with a 4-week interval. The radiologists recorded their confidence scores for LN eradication using a 5-point scale on a per-patient basis. The diagnostic performances were compared between the two reading sessions for each reader with pair-wise comparisons of receiver-operating characteristic curves. Histopathological reports served as the reference standards for LN eradication. RESULTS The study population consisted of an LN-eradicated group (n = 66) and a non-eradicated group (n = 29). The diagnostic performances did not significantly differ between the two reading sessions for the two readers (AUCs for reader 1, 0.770 and 0.774, P = 0.8155; for reader 2, 0.794 and 0.798, P = 0.8588). CONCLUSION Adding DWI to T2W imaging provided no additional diagnostic benefit for the evaluation of LN eradication following CRT in patients with LARC.
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Affiliation(s)
- Kyeong Hwa Ryu
- Department of Radiology, Inje University College of Medicine, Haeundae Paik Hospital, Busan, Republic of Korea
| | - Seung Ho Kim
- Department of Radiology, Inje University College of Medicine, Haeundae Paik Hospital, Busan, Republic of Korea
| | - Jung-Hee Yoon
- Department of Radiology, Inje University College of Medicine, Haeundae Paik Hospital, Busan, Republic of Korea
| | - Yedaun Lee
- Department of Radiology, Inje University College of Medicine, Haeundae Paik Hospital, Busan, Republic of Korea
| | - Jin Ho Paik
- Department of Pathology, Seoul National University Bundang Hospital, Gyeonggi-do, Republic of Korea
| | - Yun-Jung Lim
- Department of Radiology, Inje University College of Medicine, Haeundae Paik Hospital, Busan, Republic of Korea
| | - Kwang Hwi Lee
- Department of Radiology, Inje University College of Medicine, Haeundae Paik Hospital, Busan, Republic of Korea
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Yu J, Huang DY, Li Y, Dai X, Shi HB. Correlation of standard diffusion-weighted imaging and diffusion kurtosis imaging with distant metastases of rectal carcinoma. J Magn Reson Imaging 2015; 44:221-9. [PMID: 26715111 DOI: 10.1002/jmri.25137] [Citation(s) in RCA: 24] [Impact Index Per Article: 2.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/04/2015] [Accepted: 12/08/2015] [Indexed: 12/15/2022] Open
Abstract
PURPOSE To investigate the correlation of standard diffusion-weighted imaging (DWI) and diffusion kurtosis imaging (DKI) with distant metastases of rectal carcinoma. MATERIALS AND METHODS Fifty-eight patients with rectal carcinoma (27 with distant metastasis and 31 with no metastasis) were included in this study. The apparent diffusion coefficient (ADC) value from standard DWI (b values of 0 and 1000 sec/mm(2) ), Dapp , and Kapp from DKI (b values of 0, 700, 1400, and 2000 sec/mm(2) ) were acquired with a 3.0T magnetic resonance imaging (MRI) scanner. These quantitative parameters were calculated from the entire tumors. Receiver operating characteristic curve analyses were conducted to assess the utility for discrimination of tumor with distant metastasis and those without metastasis. Parameters were compared using the independent-samples t-test. RESULTS The histogram metrics 10th percentile of Dapp (Dapp-10th ) and ADC values (ADC10th ) were significantly lower in the distant metastasis group than those without metastasis (972.5 ± 118.8 vs. 1121.3 ± 133.8 × 10(-6) mm(2) /s, P = 0.03; 809.2 ± 67.1 vs. 856.2 ± 72.1 × 10(-6) mm(2) /s, P = 0.03). Dapp-10th showed relatively higher area under the curve (AUC) (0.856 vs. 0.669, P = 0.024), and higher specificity (100% vs. 68%) than ADC10th did for differentiation of lesions with distant metastasis from those without metastasis. CONCLUSION DKI was relatively better than standard DWI in discriminating rectal carcinoma with distant metastasis from those without metastasis. J. Magn. Reson. Imaging 2016;44:221-229.
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Affiliation(s)
- Jing Yu
- Department of Radiology, First Affiliated Hospital of Nanjing Medical University, Nanjing, China
| | - Dong-Ya Huang
- Department of General Surgery, First Affiliated Hospital of Nanjing Medical University, Nanjing, China
| | - Yan Li
- Department of Radiology, First Affiliated Hospital of Nanjing Medical University, Nanjing, China
| | - Xin Dai
- Department of Radiology, First Affiliated Hospital of Nanjing Medical University, Nanjing, China
| | - Hai-Bin Shi
- Department of Radiology, First Affiliated Hospital of Nanjing Medical University, Nanjing, China
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Prediction of Lateral Pelvic Lymph-Node Metastasis in Low Rectal Cancer by Magnetic Resonance Imaging. World J Surg 2015; 40:995-1001. [DOI: 10.1007/s00268-015-3299-7] [Citation(s) in RCA: 22] [Impact Index Per Article: 2.2] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/06/2023]
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46
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De Robertis R, Tinazzi Martini P, Demozzi E, Dal Corso F, Bassi C, Pederzoli P, D’Onofrio M. Diffusion-weighted imaging of pancreatic cancer. World J Radiol 2015; 7:319-328. [PMID: 26516428 PMCID: PMC4620112 DOI: 10.4329/wjr.v7.i10.319] [Citation(s) in RCA: 52] [Impact Index Per Article: 5.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/28/2015] [Revised: 04/27/2015] [Accepted: 08/28/2015] [Indexed: 02/06/2023] Open
Abstract
Magnetic resonance imaging (MRI) is a reliable and accurate imaging method for the evaluation of patients with pancreatic ductal adenocarcinoma (PDAC). Diffusion-weighted imaging (DWI) is a relatively recent technological improvement that expanded MRI capabilities, having brought functional aspects into conventional morphologic MRI evaluation. DWI can depict the random diffusion of water molecules within tissues (the so-called Brownian motions). Modifications of water diffusion induced by different factors acting on the extracellular and intracellular spaces, as increased cell density, edema, fibrosis, or altered functionality of cell membranes, can be detected using this MR sequence. The intravoxel incoherent motion (IVIM) model is an advanced DWI technique that consent a separate quantitative evaluation of all the microscopic random motions that contribute to DWI, which are essentially represented by molecular diffusion and blood microcirculation (perfusion). Technological improvements have made possible the routine use of DWI during abdominal MRI study. Several authors have reported that the addition of DWI sequence can be of value for the evaluation of patients with PDAC, especially improving the staging; nevertheless, it is still unclear whether and how DWI could be helpful for identification, characterization, prognostic stratification and follow-up during treatment. The aim of this paper is to review up-to-date literature data regarding the applications of DWI and IVIM to PDACs.
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Tapan U, Ozbayrak M, Tatlı S. MRI in local staging of rectal cancer: an update. Diagn Interv Radiol 2015; 20:390-8. [PMID: 25010367 DOI: 10.5152/dir.2014.13265] [Citation(s) in RCA: 31] [Impact Index Per Article: 3.1] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/06/2023]
Abstract
Preoperative imaging for staging of rectal cancer has become an important aspect of current approach to rectal cancer management, because it helps to select suitable patients for neoadjuvant chemoradiotherapy and determine the appropriate surgical technique. Imaging modalities such as endoscopic ultrasonography, computed tomography, and magnetic resonance imaging (MRI) play an important role in assessing the depth of tumor penetration, lymph node involvement, mesorectal fascia and anal sphincter invasion, and presence of distant metastatic diseases. Currently, there is no consensus on a preferred imaging technique for preoperative staging of rectal cancer. However, high-resolution phased-array MRI is recommended as a standard imaging modality for preoperative local staging of rectal cancer, with excellent soft tissue contrast, multiplanar capability, and absence of ionizing radiation. This review will mainly focus on the role of MRI in preoperative local staging of rectal cancer and discuss recent advancements in MRI technique such as diffusion-weighted imaging and dynamic contrast-enhanced MRI.
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Affiliation(s)
- Umit Tapan
- Department of Hematology/Oncology, Boston University Medical Center, Boston, Massachusetts, USA.
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Arezzo A, Bianco F, Agresta F, Coco C, Faletti R, Krivocapic Z, Rotondano G, Santoro GA, Vettoretto N, De Franciscis S, Belli A, Romano GM. Practice parameters for early rectal cancer management: Italian Society of Colorectal Surgery (Società Italiana di Chirurgia Colo-Rettale; SICCR) guidelines. Tech Coloproctol 2015; 19:587-93. [PMID: 26408174 DOI: 10.1007/s10151-015-1362-x] [Citation(s) in RCA: 8] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/27/2015] [Accepted: 05/27/2015] [Indexed: 02/07/2023]
Abstract
The introduction of new technologies for diagnosis and screening programs led to an increasing rate of early detection of colorectal cancer. This, associated with the evolution of endoscopic techniques of local excision, led to the assessment of new strategies to reduce morbidity related to treatment, especially for early rectal cancer (ERC). Nevertheless, the definition of ERC and its staging and treatment algorithm are still under debate. The Italian Society of Colorectal Surgery developed practice guidelines to provide recommendations on the diagnosis, staging and treatment of ERC. A systematic review on the topic was performed by a multidisciplinary group of experts selected based on their clinical and scientific expertise in endoscopy, endoscopic ultrasound, magnetic resonance and surgery, with the aid of an external international audit.
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Affiliation(s)
- A Arezzo
- Department of Surgical Sciences, University of Turin, Turin, Italy
| | - F Bianco
- Department of Surgical Oncology, Istituto Nazionale Tumori "Fondazione G. Pascale"-IRCCS, Naples, Italy
| | - F Agresta
- Department of General Surgery, Ulss1 9 of the Veneto, Civic Hospital, Adria, TV, Italy
| | - C Coco
- Department of Surgical Sciences, Catholic University of the Sacred Heart, Rome, Italy
| | - R Faletti
- Department of Surgical Sciences, Radiology Institute, University Hospital City of Health and Science, Turin University, Turin, Italy
| | - Z Krivocapic
- Institute for Digestive Disease, Clinical Center of Serbia, University of Belgrade, Belgrade, Serbia
| | - G Rotondano
- Department of Gastroenterology, Maresca Hospital, Torre del Greco, NA, Italy
| | - G A Santoro
- Department of Colorectal Surgery, Digestive Disease Institute, Cleveland Clinic Abu Dhabi, Abu Dhabi, UAE
| | - N Vettoretto
- Department of General Surgery, Montichiari Hospital, Civic Hospitals of Brescia, Brescia, Italy
| | - S De Franciscis
- Department of Surgical Oncology, Istituto Nazionale Tumori "Fondazione G. Pascale"-IRCCS, Naples, Italy
| | - A Belli
- Department of Surgical Oncology, Istituto Nazionale Tumori "Fondazione G. Pascale"-IRCCS, Naples, Italy
| | - G M Romano
- Department of Surgical Oncology, Istituto Nazionale Tumori "Fondazione G. Pascale"-IRCCS, Naples, Italy.
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Hassan I, Wise PE, Margolin DA, Fleshman JW. The Role of Transanal Surgery in the Management of T1 Rectal Cancers. J Gastrointest Surg 2015; 19:1704-12. [PMID: 26048145 DOI: 10.1007/s11605-015-2866-4] [Citation(s) in RCA: 6] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/04/2015] [Accepted: 05/25/2015] [Indexed: 02/06/2023]
Abstract
The management of T1 rectal cancers is based on finding the balance between optimal oncologic outcomes and acceptable functional results for the patient. While radical resection involving a proctectomy is considered the most oncologically adequate option, its adverse effects on patient reported outcomes makes this a less than ideal choice in certain circumstances. While local excision can circumvent some of the adverse functional outcomes, its inadequacy in assessing metastatic lymph node disease and the subsequent negative impact of untreated positive lymph nodes on patient prognosis is a cause for concern. As a result, the therapeutic strategy has to be based on patient and disease-related factors in order to identify the best treatment choice that maximizes survival benefit and preserves health-related quality of life. After adequate preoperative staging work up, in selected patients with favorable pathological features, local excision can be considered. These cancers can be removed by transanal local excision or transanal endoscopic microsurgery, depending on the location of the cancer and expertise available. While perioperative morbidity is minimal, close postoperative follow-up is essential.
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Affiliation(s)
- Imran Hassan
- Department of Surgery, University of Iowa, Iowa City, IA, USA,
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Brendle C, Schwenzer NF, Rempp H, Schmidt H, Pfannenberg C, la Fougère C, Nikolaou K, Schraml C. Assessment of metastatic colorectal cancer with hybrid imaging: comparison of reading performance using different combinations of anatomical and functional imaging techniques in PET/MRI and PET/CT in a short case series. Eur J Nucl Med Mol Imaging 2015. [DOI: 10.1007/s00259-015-3137-z] [Citation(s) in RCA: 67] [Impact Index Per Article: 6.7] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/27/2022]
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