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Litjens G, Nakamoto A, Brosens LAA, Maas MC, Scheenen TWJ, Zámecnik P, van Geenen EJM, Prokop M, van Laarhoven KJHM, Hermans JJ. Ferumoxtran-10-enhanced MRI for pre-operative metastatic lymph node detection in pancreatic, duodenal, or periampullary adenocarcinoma. Eur Radiol 2024:10.1007/s00330-024-10838-w. [PMID: 38907886 DOI: 10.1007/s00330-024-10838-w] [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: 01/10/2024] [Revised: 04/18/2024] [Accepted: 04/26/2024] [Indexed: 06/24/2024]
Abstract
OBJECTIVES To assess 3-Tesla (3-T) ultra-small superparamagnetic iron oxide (USPIO)-enhanced MRI in detecting lymph node (LN) metastases for resectable adenocarcinomas of the pancreas, duodenum, or periampullary region in a node-to-node validation against histopathology. METHODS Twenty-seven consecutive patients with a resectable pancreatic, duodenal, or periampullary adenocarcinoma were enrolled in this prospective single expert centre study. Ferumoxtran-10-enhanced 3-T MRI was performed pre-surgery. LNs found on MRI were scored for suspicion of metastasis by two expert radiologists using a dedicated scoring system. Node-to-node matching from in vivo MRI to histopathology was performed using a post-operative ex vivo 7-T MRI of the resection specimen. Sensitivity and specificity were calculated using crosstabs. RESULTS Eighteen out of 27 patients (median age 65 years, 11 men) were included in the final analysis (pre-surgery withdrawal n = 4, not resected because of unexpected metastases peroperatively n = 2, and excluded because of inadequate contrast-agent uptake n = 3). On MRI 453 LNs with a median size of 4.0 mm were detected, of which 58 (13%) were classified as suspicious. At histopathology 385 LNs with a median size of 5.0 mm were found, of which 45 (12%) were metastatic. For 55 LNs node-to-node matching was possible. Analysis of these 55 matched LNs, resulted in a sensitivity and specificity of 83% (95% CI: 36-100%) and 92% (95% CI: 80-98%), respectively. CONCLUSION USPIO-enhanced MRI is a promising technique to preoperatively detect and localise LN metastases in patients with pancreatic, duodenal, or periampullary adenocarcinoma. CLINICAL RELEVANCE STATEMENT Detection of (distant) LN metastases with USPIO-enhanced MRI could be used to determine a personalised treatment strategy that could involve neoadjuvant or palliative chemotherapy, guided resection of distant LNs, or targeted radiotherapy. REGISTRATION The study was registered on clinicaltrials.gov NCT04311047. https://clinicaltrials.gov/ct2/show/NCT04311047?term=lymph+node&cond=Pancreatic+Cancer&cntry=NL&draw=2&rank=1 . KEY POINTS LN metastases of pancreatic, duodenal, or periampullary adenocarcinoma cannot be reliably detected with current imaging. This technique detected LN metastases with a sensitivity and specificity of 83% and 92%, respectively. MRI with ferumoxtran-10 is a promising technique to improve preoperative staging in these cancers.
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Affiliation(s)
- Geke Litjens
- Department of Medical Imaging, Radboud Institute for Health Sciences, Radboud University Medical Center, Nijmegen, The Netherlands.
| | - Atsushi Nakamoto
- Department of Radiology, Osaka University Graduate School of Medicine, Suita, Japan
| | - Lodewijk A A Brosens
- Department of Pathology, Radboud University Medical Center, Nijmegen, University Medical Center Utrecht, Utrecht, The Netherlands
| | - Marnix C Maas
- Department of Medical Imaging, Radboud Institute for Health Sciences, Radboud University Medical Center, Nijmegen, The Netherlands
| | - Tom W J Scheenen
- Department of Medical Imaging, Radboud Institute for Health Sciences, Radboud University Medical Center, Nijmegen, The Netherlands
| | - Patrik Zámecnik
- Department of Medical Imaging, Radboud Institute for Health Sciences, Radboud University Medical Center, Nijmegen, The Netherlands
| | - Erwin J M van Geenen
- Department of Gastroenterology and Hepatology, Radboud Institute for Molecular Life Sciences, Radboud University Medical Center, Nijmegen, The Netherlands
| | - Mathias Prokop
- Department of Medical Imaging, Radboud Institute for Health Sciences, Radboud University Medical Center, Nijmegen, The Netherlands
| | - Kees J H M van Laarhoven
- Department of Surgery, Radboud Institute for Health Sciences, Radboud University Medical Center, Nijmegen, The Netherlands
| | - John J Hermans
- Department of Medical Imaging, Radboud Institute for Health Sciences, Radboud University Medical Center, Nijmegen, The Netherlands
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Li S, Jiang D, Jiang L, Yan S, Liu L, Ruan G, Zhou X, Zhuo S. Dual-energy computed tomography in a multiparametric regression model for diagnosing lymph node metastases in pancreatic ductal adenocarcinoma. Cancer Imaging 2024; 24:38. [PMID: 38504330 PMCID: PMC10953218 DOI: 10.1186/s40644-024-00687-7] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/08/2023] [Accepted: 03/10/2024] [Indexed: 03/21/2024] Open
Abstract
OBJECTIVE To investigate the diagnostic value of dual-energy computed tomography (DECT) quantitative parameters in the identification of regional lymph node metastasis in pancreatic ductal adenocarcinoma (PDAC). METHODS This retrospective diagnostic study assessed 145 patients with pathologically confirmed pancreatic ductal adenocarcinoma from August 2016-October 2020. Quantitative parameters for targeted lymph nodes were measured using DECT, and all parameters were compared between benign and metastatic lymph nodes to determine their diagnostic value. A logistic regression model was constructed; the receiver operator characteristics curve was plotted; the area under the curve (AUC) was calculated to evaluate the diagnostic efficacy of each energy DECT parameter; and the DeLong test was used to compare AUC differences. Model evaluation was used for correlation analysis of each DECT parameter. RESULTS Statistical differences in benign and metastatic lymph nodes were found for several parameters. Venous phase iodine density had the highest diagnostic efficacy as a single parameter, with AUC 0.949 [95% confidence interval (CI):0.915-0.972, threshold: 3.95], sensitivity 79.80%, specificity 96.00%, and accuracy 87.44%. Regression models with multiple parameters had the highest diagnostic efficacy, with AUC 0.992 (95% CI: 0.967-0.999), sensitivity 95.96%, specificity 96%, and accuracy 94.97%, which was higher than that for a single DECT parameter, and the difference was statistically significant. CONCLUSION Among all DECT parameters for regional lymph node metastasis in PDAC, venous phase iodine density has the highest diagnostic efficacy as a single parameter, which is convenient for use in clinical settings, whereas a multiparametric regression model has higher diagnostic value compared with the single-parameter model.
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Affiliation(s)
- Sheng Li
- Department of Radiology, Sun Yat-sen University Cancer Center, State Key Laboratory of Oncology in South China, Guangdong Provincial Clinical Research Center for Cancer, Guangzhou, 510060, China
| | - Dongping Jiang
- Department of Radiology, Sun Yat-sen University Cancer Center, State Key Laboratory of Oncology in South China, Guangdong Provincial Clinical Research Center for Cancer, Guangzhou, 510060, China
| | - Linling Jiang
- Department of Radiology, Sun Yat-sen University Cancer Center, State Key Laboratory of Oncology in South China, Guangdong Provincial Clinical Research Center for Cancer, Guangzhou, 510060, China
| | - Shumei Yan
- Department of pathology, Sun Yat-sen University Cancer Center, State Key Laboratory of Oncology in South China, Guangdong Provincial Clinical Research Center for Cancer, Guangzhou, 510060, China
| | - Lizhi Liu
- Department of Radiology, Sun Yat-sen University Cancer Center, State Key Laboratory of Oncology in South China, Guangdong Provincial Clinical Research Center for Cancer, Guangzhou, 510060, China
| | - Guangying Ruan
- Department of Radiology, Sun Yat-sen University Cancer Center, State Key Laboratory of Oncology in South China, Guangdong Provincial Clinical Research Center for Cancer, Guangzhou, 510060, China
| | - Xuhui Zhou
- Department of Radiology, the Eighth Affiliated Hospital, Sun Yat-sen University, Shenzhen, 518036, China.
| | - Shuiqing Zhuo
- Department of Radiology, Sun Yat-sen University Cancer Center, State Key Laboratory of Oncology in South China, Guangdong Provincial Clinical Research Center for Cancer, Guangzhou, 510060, China.
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Miyazawa M, Hirono S, Kawai M, Okada KI, Kitahata Y, Motobayashi H, Sato M, Yoshimura T, Ueno M, Hayami S, Miyamoto A, Shimizu A, Yamaue H. Radiographic duodenal invasion is associated with poor prognosis and early recurrence in patients with pancreatic ductal adenocarcinoma. EUROPEAN JOURNAL OF SURGICAL ONCOLOGY 2023; 49:106960. [PMID: 37353425 DOI: 10.1016/j.ejso.2023.06.012] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/06/2023] [Revised: 06/05/2023] [Accepted: 06/14/2023] [Indexed: 06/25/2023]
Abstract
BACKGROUND The prognostic impact of radiographic duodenal invasion (rDI) of pancreatic ductal adenocarcinoma (PDAC) has yet to be fully elucidated. This retrospective study aimed to investigate the prognostic and clinicopathological significance of rDI in patients with PDAC after pancreatoduodenectomy (PD). MATERIALS AND METHODS We retrospectively analyzed 223 consecutive patients with resectable (R) and borderline resectable (BR)-PDAC that underwent up-front PD between 2002 and 2018. rDI was assessed by preoperative multi-detector row computed tomography. RESULTS Ninety-three (42%) patients with PDAC had rDI, and all of them had pathological DI (pDI). The rDI(+) group had larger tumor size, BR-PDAC was more common, there was higher serum CA19-9 level, and microscopic lymphovascular invasion was more common than in the rDI(-) group. rDI was associated with significant reduction in overall survival (OS) (P < 0.001) and recurrence-free survival (RFS) (P < 0.001). In multivariate analysis, rDI was an independent prognostic factor in OS [hazard ratio (HR) = 0.52; 95% confidence interval (CI) 0.38-0.73, P < 0.001] and RFS [HR = 0.56; 95% CI 0.40-0.78, P = 0.001]. rDI was also an independent risk factor for early recurrence within 12 months [odds ratio (OR) = 0.36; 95% CI 0.18-0.73, P = 0.005]. rDI had positive correlation with liver recurrence (P = 0.024). CONCLUSION Biological aggressiveness of PDAC with rDI implies short OS and early recurrence with frequent liver metastasis. Aggressive perioperative chemotherapy is recommended to improve prognosis, especially for R-PDAC patients with rDI.
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Affiliation(s)
- Motoki Miyazawa
- Second Department of Surgery, School of Medicine, Wakayama Medical University, Wakayama, Japan
| | - Seiko Hirono
- Second Department of Surgery, School of Medicine, Wakayama Medical University, Wakayama, Japan; Division of Hepato-Biliary-Pancreatic Surgery, Department of Gastroenterological Surgery, Hyogo Medical University, Hyogo, Japan.
| | - Manabu Kawai
- Second Department of Surgery, School of Medicine, Wakayama Medical University, Wakayama, Japan
| | - Ken-Ichi Okada
- Second Department of Surgery, School of Medicine, Wakayama Medical University, Wakayama, Japan
| | - Yuji Kitahata
- Second Department of Surgery, School of Medicine, Wakayama Medical University, Wakayama, Japan
| | - Hideki Motobayashi
- Second Department of Surgery, School of Medicine, Wakayama Medical University, Wakayama, Japan
| | - Masatoshi Sato
- Second Department of Surgery, School of Medicine, Wakayama Medical University, Wakayama, Japan
| | - Tomohiro Yoshimura
- Second Department of Surgery, School of Medicine, Wakayama Medical University, Wakayama, Japan
| | - Masaki Ueno
- Second Department of Surgery, School of Medicine, Wakayama Medical University, Wakayama, Japan
| | - Shinya Hayami
- Second Department of Surgery, School of Medicine, Wakayama Medical University, Wakayama, Japan
| | - Atsushi Miyamoto
- Second Department of Surgery, School of Medicine, Wakayama Medical University, Wakayama, Japan
| | - Atsushi Shimizu
- Second Department of Surgery, School of Medicine, Wakayama Medical University, Wakayama, Japan; Division of Hepato-Biliary-Pancreatic Surgery, Department of Gastroenterological Surgery, Hyogo Medical University, Hyogo, Japan
| | - Hiroki Yamaue
- Second Department of Surgery, School of Medicine, Wakayama Medical University, Wakayama, Japan
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Cai W, Zhu Y, Teng Z, Li D, Feng Q, Jiang Z, Cong R, Chen Z, Liu S, Zhao X, Ma X. Combined CT and serum CA19-9 for stratifying risk for progression in patients with locally advanced pancreatic cancer receiving intraoperative radiotherapy. Front Oncol 2023; 13:1155555. [PMID: 37124483 PMCID: PMC10140514 DOI: 10.3389/fonc.2023.1155555] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/31/2023] [Accepted: 03/27/2023] [Indexed: 05/02/2023] Open
Abstract
Background and purpose The aim of this study was to evaluate the significance of baseline computed tomography (CT) imaging features and carbohydrate antigen 19-9 (CA19-9) in predicting prognosis of locally advanced pancreatic cancer (LAPC) receiving intraoperative radiotherapy (IORT) and to establish a progression risk nomogram that helps to identify the potential beneficiary of IORT. Methods A total of 88 LAPC patients with IORT as their initial treatment were enrolled retrospectively. Clinical data and CT imaging features were analyzed. Cox regression analyses were performed to identify the independent risk factors for progression-free survival (PFS) and to establish a nomogram. A risk-score was calculated by the coefficients of the regression model to stratify the risk of progression. Results Multivariate analyses revealed that relative enhanced value in portal-venous phase (REV-PVP), peripancreatic fat infiltration, necrosis, and CA19-9 were significantly associated with PFS (all p < 0.05). The nomogram was constructed according to the above variables and showed a good performance in predicting the risk of progression with a concordance index (C-index) of 0.779. Our nomogram stratified patients with LAPC into low- and high-risk groups with distinct differences in progression after IORT (p < 0.001). Conclusion The integrated nomogram would help clinicians to identify appropriate patients who might benefit from IORT before treatment and to adapt an individualized treatment strategy.
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Affiliation(s)
- Wei Cai
- Department of Diagnostic Radiology, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - Yongjian Zhu
- Department of Diagnostic Radiology, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - Ze Teng
- Department of Diagnostic Radiology, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - Dengfeng Li
- Department of Diagnostic Radiology, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - Qinfu Feng
- Department of Radiation Oncology, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - Zhichao Jiang
- Department of Medical Oncology, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - Rong Cong
- Department of Diagnostic Radiology, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - Zhaowei Chen
- Department of Diagnostic Radiology, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - Siyun Liu
- Magnetic Resonance Imaging Research, General Electric Healthcare (China), Beijing, China
| | - Xinming Zhao
- Department of Diagnostic Radiology, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - Xiaohong Ma
- Department of Diagnostic Radiology, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
- *Correspondence: Xiaohong Ma,
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Schön F, Sinzig R, Walther F, Radosa CG, Nebelung H, Eberlein-Gonska M, Hoffmann RT, Kühn JP, Blum SFU. Value of Clinical Information on Radiology Reports in Oncological Imaging. Diagnostics (Basel) 2022; 12:diagnostics12071594. [PMID: 35885499 PMCID: PMC9321157 DOI: 10.3390/diagnostics12071594] [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: 05/26/2022] [Revised: 06/13/2022] [Accepted: 06/17/2022] [Indexed: 11/16/2022] Open
Abstract
Radiological reporting errors have a direct negative impact on patient treatment. The purpose of this study was to investigate the contribution of clinical information (CI) in radiological reporting of oncological imaging and the dependence on the radiologists’ experience level (EL). Sixty-four patients with several types of carcinomas and twenty patients without tumors were enrolled. Computed tomography datasets acquired in primary or follow-up staging were independently analyzed by three radiologists (R) with different EL (R1: 15 years; R2: 10 years, R3: 1 year). Reading was initially performed without and 3 months later with CI. Overall, diagnostic accuracy and sensitivity for primary tumor detection increased significantly when receiving CI from 77% to 87%; p = 0.01 and 73% to 83%; p = 0.01, respectively. All radiologists benefitted from CI; R1: 85% vs. 92%, p = 0.15; R2: 77% vs. 83%, p = 0.33; R3: 70% vs. 86%, p = 0.02. Overall, diagnostic accuracy and sensitivity for detecting lymphogenous metastases increased from 80% to 85% (p = 0.13) and 42% to 56% (p = 0.13), for detection of hematogenous metastases from 85% to 86% (p = 0.61) and 46% to 60% (p = 0.15). Specificity remained stable (>90%). Thus, CI in oncological imaging seems to be essential for correct radiological reporting, especially for residents, and should be available for the radiologist whenever possible.
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Affiliation(s)
- Felix Schön
- Institute and Polyclinic for Diagnostic and Interventional Radiology, University Hospital Carl Gustav Carus Dresden, TU Dresden, 01307 Dresden, Germany; (R.S.); (C.G.R.); (H.N.); (R.-T.H.); (J.-P.K.); (S.F.U.B.)
- Correspondence: ; Tel.: +49-351-458-19089
| | - Rebecca Sinzig
- Institute and Polyclinic for Diagnostic and Interventional Radiology, University Hospital Carl Gustav Carus Dresden, TU Dresden, 01307 Dresden, Germany; (R.S.); (C.G.R.); (H.N.); (R.-T.H.); (J.-P.K.); (S.F.U.B.)
| | - Felix Walther
- Quality and Medical Risk Management, University Hospital Carl Gustav Carus Dresden, TU Dresden, 01307 Dresden, Germany; (F.W.); (M.E.-G.)
- Center for Evidence-Based Healthcare, Medical Faculty Carl Gustav Carus Dresden, University Hospital Carl Gustav Carus Dresden, TU Dresden, 01307 Dresden, Germany
| | - Christoph Georg Radosa
- Institute and Polyclinic for Diagnostic and Interventional Radiology, University Hospital Carl Gustav Carus Dresden, TU Dresden, 01307 Dresden, Germany; (R.S.); (C.G.R.); (H.N.); (R.-T.H.); (J.-P.K.); (S.F.U.B.)
| | - Heiner Nebelung
- Institute and Polyclinic for Diagnostic and Interventional Radiology, University Hospital Carl Gustav Carus Dresden, TU Dresden, 01307 Dresden, Germany; (R.S.); (C.G.R.); (H.N.); (R.-T.H.); (J.-P.K.); (S.F.U.B.)
| | - Maria Eberlein-Gonska
- Quality and Medical Risk Management, University Hospital Carl Gustav Carus Dresden, TU Dresden, 01307 Dresden, Germany; (F.W.); (M.E.-G.)
| | - Ralf-Thorsten Hoffmann
- Institute and Polyclinic for Diagnostic and Interventional Radiology, University Hospital Carl Gustav Carus Dresden, TU Dresden, 01307 Dresden, Germany; (R.S.); (C.G.R.); (H.N.); (R.-T.H.); (J.-P.K.); (S.F.U.B.)
| | - Jens-Peter Kühn
- Institute and Polyclinic for Diagnostic and Interventional Radiology, University Hospital Carl Gustav Carus Dresden, TU Dresden, 01307 Dresden, Germany; (R.S.); (C.G.R.); (H.N.); (R.-T.H.); (J.-P.K.); (S.F.U.B.)
| | - Sophia Freya Ulrike Blum
- Institute and Polyclinic for Diagnostic and Interventional Radiology, University Hospital Carl Gustav Carus Dresden, TU Dresden, 01307 Dresden, Germany; (R.S.); (C.G.R.); (H.N.); (R.-T.H.); (J.-P.K.); (S.F.U.B.)
- Quality and Medical Risk Management, University Hospital Carl Gustav Carus Dresden, TU Dresden, 01307 Dresden, Germany; (F.W.); (M.E.-G.)
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