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Lin Y, Liu T, Hu Y, Xu Y, Wang J, Guo S, Xie S, Sun H. Assessment of vascular invasion of pancreatic ductal adenocarcinoma based on CE-boost black blood CT technique. Insights Imaging 2024; 15:293. [PMID: 39636361 PMCID: PMC11621291 DOI: 10.1186/s13244-024-01870-x] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/27/2024] [Accepted: 11/21/2024] [Indexed: 12/07/2024] Open
Abstract
OBJECTIVES To explore the diagnostic efficacy of advanced intelligent clear-IQ engine (AiCE) and adaptive iterative dose reduction 3D (AIDR 3D), combination with and without the black blood CT technique (BBCT), for detecting vascular invasion in patients diagnosed with nonmetastatic pancreatic ductal adenocarcinoma (PDAC). METHODS A total of 35 consecutive patients diagnosed with PDAC, proceeding with contrast-enhanced abdominal CT scans, were enrolled in this study. The arterial and portal venous phase images were reconstructed using AiCE and AIDR 3D. The corresponding BBCT images were established as AiCE-BBCT and AIDR 3D-BBCT, respectively. Two observers scored the image quality independently. Cohen's kappa (k) value or intraclass correlation coefficient (ICC) was used to analyze consistency. The diagnostic performance of four algorithms in detecting vascular invasion in PDAC patients was assessed using the area under the curve (AUC). RESULTS The AiCE and AiCE-BBCT groups demonstrated superior image noise and diagnostic acceptability compared with AIDR 3D and AIDR 3D-BBCT groups (all p < 0.001), and the k value was 0.861-0.967 for both reviewers. In terms of diagnostic capability for vascular invasion in PDAC, the AiCE-BBCT group exhibited higher specificity (95.0%) and sensitivity (93.3%) compared to the AIDR 3D and AIDR 3D-BBCT groups, with an AUC of 0.942 (95% CI: 0.849-1.000, p < 0.05). Furthermore, all vascular evaluations conducted using AiCE-BBCT demonstrated better consistency (ICC: 0.847-0.935). CONCLUSION The BBCT technique in conjunction with AiCE could lead to notable enhancements in both the image quality of PDAC images and the diagnostic performance for tumor vascular invasion. CRITICAL RELEVANCE STATEMENT Better diagnostic accuracy of vascular invasion of PDAC based on BBCT in combination with an AiCE is a critical factor in determining treatment strategies and patient outcomes. KEY POINTS Identifying vascular invasion of PDAC is important for prognostication. Combined images provide improved image quality and higher diagnostic accuracy. Combined images can excellently display the vascular wall and invasion.
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Affiliation(s)
- Yue Lin
- Department of Radiology, China-Japan Friendship Hospital, Beijing, China
| | - Tongxi Liu
- Department of Radiology, China-Japan Friendship Hospital, Beijing, China
| | - Yingying Hu
- Department of Radiology, China-Japan Friendship Hospital, Beijing, China
| | - Yinghao Xu
- CT Clinical Research Department, CT Business Unit, Canon Medical Systems (China) Co., Ltd., Beijing, China
| | - Jian Wang
- CT Clinical Research Department, CT Business Unit, Canon Medical Systems (China) Co., Ltd., Beijing, China
| | - Sijia Guo
- Peking University China-Japan Friendship School of Clinical Medicine, Beijing, China
| | - Sheng Xie
- Department of Radiology, China-Japan Friendship Hospital, Beijing, China
| | - Hongliang Sun
- Department of Radiology, China-Japan Friendship Hospital, Beijing, China.
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Ahmed TM, Chu LC, Javed AA, Yasrab M, Blanco A, Hruban RH, Fishman EK, Kawamoto S. Hidden in plain sight: commonly missed early signs of pancreatic cancer on CT. Abdom Radiol (NY) 2024; 49:3599-3614. [PMID: 38782784 DOI: 10.1007/s00261-024-04334-4] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/19/2024] [Revised: 04/03/2024] [Accepted: 04/05/2024] [Indexed: 05/25/2024]
Abstract
Pancreatic ductal adenocarcinoma (PDAC) has poor prognosis mostly due to the advanced stage at which disease is diagnosed. Early detection of disease at a resectable stage is, therefore, critical for improving outcomes of patients. Prior studies have demonstrated that pancreatic abnormalities may be detected on CT in up to 38% of CT studies 5 years before clinical diagnosis of PDAC. In this review, we highlight commonly missed signs of early PDAC on CT. Broadly, these commonly missed signs consist of small isoattenuating PDAC without contour deformity, isolated pancreatic duct dilatation and cutoff, focal pancreatic enhancement and focal parenchymal atrophy, pancreatitis with underlying PDAC, and vascular encasement. Through providing commentary on demonstrative examples of these signs, we demonstrate how to reduce the risk of missing or misinterpreting radiological features of early PDAC.
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Affiliation(s)
- Taha M Ahmed
- The Russell H. Morgan Department of Radiology and Radiological Science, Johns Hopkins University School of Medicine, JHOC 3140E, 601 N Caroline St, Baltimore, MD, 21287, USA
| | - Linda C Chu
- The Russell H. Morgan Department of Radiology and Radiological Science, Johns Hopkins University School of Medicine, JHOC 3140E, 601 N Caroline St, Baltimore, MD, 21287, USA
| | - Ammar A Javed
- Department of Surgery, New York University Grossman School of Medicine, New York, NY, USA
| | - Mohammad Yasrab
- The Russell H. Morgan Department of Radiology and Radiological Science, Johns Hopkins University School of Medicine, JHOC 3140E, 601 N Caroline St, Baltimore, MD, 21287, USA
| | - Alejandra Blanco
- The Russell H. Morgan Department of Radiology and Radiological Science, Johns Hopkins University School of Medicine, JHOC 3140E, 601 N Caroline St, Baltimore, MD, 21287, USA
| | - Ralph H Hruban
- Sol Goldman Pancreatic Cancer Research Center, Department of Pathology, Johns Hopkins University School of Medicine, Baltimore, MD, USA
| | - Elliot K Fishman
- The Russell H. Morgan Department of Radiology and Radiological Science, Johns Hopkins University School of Medicine, JHOC 3140E, 601 N Caroline St, Baltimore, MD, 21287, USA
| | - Satomi Kawamoto
- The Russell H. Morgan Department of Radiology and Radiological Science, Johns Hopkins University School of Medicine, JHOC 3140E, 601 N Caroline St, Baltimore, MD, 21287, USA.
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Egorov V, Kim P, Dzigasov S, Kondratiev E, Sorokin A, Kolygin A, Vyborniy M, Bolshakov G, Popov P, Demchenkova A, Dakhtler T. Pancreatectomy with En Bloc Superior Mesenteric Vein and All Its Tributaries Resection without PV/SMV Reconstruction for "Low" Locally Advanced Pancreatic Head Cancer. Cancers (Basel) 2024; 16:2234. [PMID: 38927939 PMCID: PMC11202096 DOI: 10.3390/cancers16122234] [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: 05/14/2024] [Revised: 06/09/2024] [Accepted: 06/13/2024] [Indexed: 06/28/2024] Open
Abstract
The "vein definition" for locally advanced pancreatic ductal adenocarcinoma (LA PDAC) assumes portal-to-superior mesenteric vein (PV/SMV) unreconstructability due to tumor involvement or occlusion. Radical pancreatectomies with SMV resection without PV/SMV reconstruction are scarcely discussed in the literature. Retrospective analysis of 19 radical pancreatectomies for "low" LA PDAC with SMV and all its tributaries resection without PV/SMV reconstruction has shown zero mortality; overall morbidity-56%; Dindo-Clavien-3-10.5%; R0-rate-82%; mean operative procedure time-355 ± 154 min; mean blood loss-330 ± 170 mL; delayed gastric emptying-25%; and clinically relevant postoperative pancreatic fistula-8%. In three cases, surgery was associated with superior mesenteric (n2) and common hepatic artery (n1) resection. Surgery was completed without vein reconstruction (n13) and with inferior mesenteric-to-splenic anastomosis (n6). There were no cases of liver, gastric, or intestinal ischemia. A specific complication of the SMV resection without reconstruction was 2-3 days-long intestinal edema (48%). Median overall survival was 25 months, and median progression-free survival was 18 months. All the relapses, except two, were distant. The possibility of successful SMV resection without PV/SMV reconstruction can be predicted before surgery by CT-based reconstructions. The mandatory anatomical conditions for the procedure were as follows: (1) preserved SMV-SV confluence; (2) occluded SMV for any reason (tumor or thrombus); (3) well-developed inferior mesenteric vein collaterals with dilated intestinal veins; (4) no right-sided vein collaterals; and (5) no varices in the upper abdomen. Conclusion: "Low" LA PDACs involving SMV with all its tributaries can be radically and safely resected in highly and specifically selected cases without PV/SMV reconstruction with an acceptable survival rate.
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Affiliation(s)
- Viacheslav Egorov
- Ilyinskaya Hospital, 143421 Moscow, Russia; (P.K.); (S.D.); (E.K.); (A.K.); (M.V.); (G.B.); (P.P.); (A.D.); (T.D.)
- Burnasyan State Research Center of the Federal Medical Biological Agency, 119435 Moscow, Russia
| | - Pavel Kim
- Ilyinskaya Hospital, 143421 Moscow, Russia; (P.K.); (S.D.); (E.K.); (A.K.); (M.V.); (G.B.); (P.P.); (A.D.); (T.D.)
| | - Soslan Dzigasov
- Ilyinskaya Hospital, 143421 Moscow, Russia; (P.K.); (S.D.); (E.K.); (A.K.); (M.V.); (G.B.); (P.P.); (A.D.); (T.D.)
| | - Eugeny Kondratiev
- Ilyinskaya Hospital, 143421 Moscow, Russia; (P.K.); (S.D.); (E.K.); (A.K.); (M.V.); (G.B.); (P.P.); (A.D.); (T.D.)
- Radiology Department, Vishnevsky National Medical Research Center of Surgery, 117997 Moscow, Russia
| | - Alexander Sorokin
- Department of Mathematical Methods in Economics, Plekhanov Russian University of Economics, 117997 Moscow, Russia;
| | - Alexey Kolygin
- Ilyinskaya Hospital, 143421 Moscow, Russia; (P.K.); (S.D.); (E.K.); (A.K.); (M.V.); (G.B.); (P.P.); (A.D.); (T.D.)
| | - Mikhail Vyborniy
- Ilyinskaya Hospital, 143421 Moscow, Russia; (P.K.); (S.D.); (E.K.); (A.K.); (M.V.); (G.B.); (P.P.); (A.D.); (T.D.)
| | - Grigoriy Bolshakov
- Ilyinskaya Hospital, 143421 Moscow, Russia; (P.K.); (S.D.); (E.K.); (A.K.); (M.V.); (G.B.); (P.P.); (A.D.); (T.D.)
| | - Pavel Popov
- Ilyinskaya Hospital, 143421 Moscow, Russia; (P.K.); (S.D.); (E.K.); (A.K.); (M.V.); (G.B.); (P.P.); (A.D.); (T.D.)
| | - Anna Demchenkova
- Ilyinskaya Hospital, 143421 Moscow, Russia; (P.K.); (S.D.); (E.K.); (A.K.); (M.V.); (G.B.); (P.P.); (A.D.); (T.D.)
| | - Tatiana Dakhtler
- Ilyinskaya Hospital, 143421 Moscow, Russia; (P.K.); (S.D.); (E.K.); (A.K.); (M.V.); (G.B.); (P.P.); (A.D.); (T.D.)
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Bilreiro C, Andrade L, Santiago I, Marques RM, Matos C. Imaging of pancreatic ductal adenocarcinoma - An update for all stages of patient management. Eur J Radiol Open 2024; 12:100553. [PMID: 38357385 PMCID: PMC10864763 DOI: 10.1016/j.ejro.2024.100553] [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: 10/15/2023] [Revised: 02/02/2024] [Accepted: 02/03/2024] [Indexed: 02/16/2024] Open
Abstract
Background Pancreatic ductal adenocarcinoma (PDAC) is a common and lethal cancer. From diagnosis to disease staging, response to neoadjuvant therapy assessment and patient surveillance after resection, imaging plays a central role, guiding the multidisciplinary team in decision-planning. Review aims and findings This review discusses the most up-to-date imaging recommendations, typical and atypical findings, and issues related to each step of patient management. Example cases for each relevant condition are presented, and a structured report for disease staging is suggested. Conclusion Despite current issues in PDAC imaging at different stages of patient management, the radiologist is essential in the multidisciplinary team, as the conveyor of relevant imaging findings crucial for patient care.
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Affiliation(s)
- Carlos Bilreiro
- Radiology Department, Champalimaud Foundation, Lisbon, Portugal
- Champalimaud Research, Champalimaud Foundation, Lisbon, Portugal
- Nova Medical School, Lisbon, Portugal
| | - Luísa Andrade
- Radiology Department, Champalimaud Foundation, Lisbon, Portugal
| | - Inês Santiago
- Radiology Department, Champalimaud Foundation, Lisbon, Portugal
| | - Rui Mateus Marques
- Nova Medical School, Lisbon, Portugal
- Radiology Department, Hospital de S. José, Lisbon, Portugal
| | - Celso Matos
- Radiology Department, Champalimaud Foundation, Lisbon, Portugal
- Champalimaud Research, Champalimaud Foundation, Lisbon, Portugal
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Wen Y, Song Z, Li Q, Zhang D, Li X, Yu J, Li Z, Ren X, Zhang J, Liu Q, Huang J, Zeng D, Tang Z. Development and validation of a model for predicting the expression of Ki-67 in pancreatic ductal adenocarcinoma with radiological features and dual-energy computed tomography quantitative parameters. Insights Imaging 2024; 15:41. [PMID: 38353857 PMCID: PMC10866831 DOI: 10.1186/s13244-024-01617-8] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/12/2023] [Accepted: 12/21/2023] [Indexed: 02/17/2024] Open
Abstract
OBJECTIVE To construct and validate a model based on the dual-energy computed tomography (DECT) quantitative parameters and radiological features to predict Ki-67 expression levels in pancreatic ductal adenocarcinoma (PDAC). MATERIALS AND METHODS Data from 143 PDAC patients were analysed. The variables of clinic, radiology and DECT were evaluated. In the arterial phase and portal venous phase (PVP), the normalized iodine concentration (NIC), normalized effective atomic number and slope of the spectral attenuation curves were measured. The extracellular volume fraction (ECVf) was measured in the equilibrium phase. Univariate analysis was used to screen independent risk factors to predict Ki-67 expression. The Radiology, DECT and DECT-Radiology models were constructed, and their diagnostic effectiveness and clinical applicability were obtained through area under the curve (AUC) and decision curve analysis, respectively. The nomogram was established based on the optimal model, and its goodness-of-fit was assessed by a calibration curve. RESULTS Computed tomography reported regional lymph node status, NIC of PVP, and ECVf were independent predictors for Ki-67 expression prediction. The AUCs of the Radiology, DECT, and DECT-Radiology models were 0.705, 0.884, and 0.905, respectively, in the training cohort, and 0.669, 0.835, and 0.865, respectively, in the validation cohort. The DECT-Radiology nomogram was established based on the DECT-Radiology model, which showed the highest net benefit and satisfactory consistency. CONCLUSIONS The DECT-Radiology model shows favourable predictive efficacy for Ki-67 expression, which may be of value for clinical decision-making in PDAC patients. CRITICAL RELEVANCE STATEMENT The DECT-Radiology model could contribute to the preoperative and non-invasive assessment of Ki-67 expression of PDAC, which may help clinicians to screen out PDAC patients with high Ki-67 expression. KEY POINTS • Dual-energy computed tomography (DECT) can predict Ki-67 in pancreatic ductal adenocarcinoma (PDAC). • The DECT-Radiology model facilitates preoperative and non-invasive assessment of PDAC Ki-67 expression. • The nomogram may help screen out PDAC patients with high Ki-67 expression.
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Affiliation(s)
- Youjia Wen
- Chongqing General Hospital, No.118, Xingguang Avenue, Liangjiang New Area, Chongqing, China
| | - Zuhua Song
- Chongqing General Hospital, No.118, Xingguang Avenue, Liangjiang New Area, Chongqing, China
| | - Qian Li
- Chongqing General Hospital, No.118, Xingguang Avenue, Liangjiang New Area, Chongqing, China
| | - Dan Zhang
- Chongqing General Hospital, No.118, Xingguang Avenue, Liangjiang New Area, Chongqing, China
| | - Xiaojiao Li
- Chongqing General Hospital, No.118, Xingguang Avenue, Liangjiang New Area, Chongqing, China
| | - Jiayi Yu
- Chongqing General Hospital, No.118, Xingguang Avenue, Liangjiang New Area, Chongqing, China
| | - Zongwen Li
- Chongqing General Hospital, No.118, Xingguang Avenue, Liangjiang New Area, Chongqing, China
| | - Xiaofang Ren
- Chongqing General Hospital, No.118, Xingguang Avenue, Liangjiang New Area, Chongqing, China
| | - Jiayan Zhang
- Chongqing General Hospital, No.118, Xingguang Avenue, Liangjiang New Area, Chongqing, China
| | - Qian Liu
- Chongqing General Hospital, No.118, Xingguang Avenue, Liangjiang New Area, Chongqing, China
| | - Jie Huang
- Chongqing General Hospital, No.118, Xingguang Avenue, Liangjiang New Area, Chongqing, China
| | - Dan Zeng
- Chongqing General Hospital, No.118, Xingguang Avenue, Liangjiang New Area, Chongqing, China
| | - Zhuoyue Tang
- Chongqing General Hospital, No.118, Xingguang Avenue, Liangjiang New Area, Chongqing, China.
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Gaballah AH, Kazi IA, Zaheer A, Liu PS, Badawy M, Moshiri M, Ibrahim MK, Soliman M, Kimchi E, Elsayes KM. Imaging after Pancreatic Surgery: Expected Findings and Postoperative Complications. Radiographics 2024; 44:e230061. [PMID: 38060424 DOI: 10.1148/rg.230061] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/18/2023]
Abstract
Pancreatic surgery is considered one of the most technically challenging surgical procedures, despite the evolution of modern techniques. Neoplasms remain the most common indication for pancreatic surgery, although inflammatory conditions may also prompt surgical evaluation. The choice of surgical procedure depends on the type and location of the pathologic finding because different parts of the pancreas have separate vascular supplies that may be shared by adjacent organs. The surgical approach could be conventional or minimally invasive (laparoscopic, endoscopic, or robotic assisted). Because of the anatomic complexity of the pancreatic bed, perioperative complications may be frequently encountered and commonly involve the pancreatic-biliary, vascular, lymphatic, or bowel systems, irrespective of the surgical technique used. Imaging plays an important role in the assessment of suspected postoperative complications, with CT considered the primary imaging modality, while MRI, digital subtraction angiography, and molecular imaging are considered ancillary diagnostic tools. Accurate diagnosis of postoperative complications requires a solid understanding of pancreatic anatomy, surgical indications, normal postoperative appearance, and expected postsurgical changes. The practicing radiologist should be familiar with the most common perioperative complications, such as anastomotic leak, abscess, and hemorrhage, and be able to differentiate these entities from normal anticipated postoperative changes such as seroma, edema and fat stranding at the surgical site, and perivascular soft-tissue thickening. In addition to evaluation of the primary operative fossa, imaging plays a fundamental role in assessment of the adjacent organ systems secondarily affected after pancreatic surgery, such as vascular, biliary, and enteric complications. Published under a CC BY 4.0 license. Test Your Knowledge questions are available in the supplemental material. See the invited commentary by Winslow in this issue.
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Affiliation(s)
- Ayman H Gaballah
- From the Department of Diagnostic Imaging, The University of Texas Southwestern Medical Center, 201 Inwood Rd, Dallas, TX 75390 (A.H.G.); Departments of Radiology (I.A.K.) and Surgery (E.K.), University of Missouri, Columbia, Mo; Department of Radiology, Johns Hopkins Medical Institutions, Baltimore, Md (A.Z.); Department of Radiology, Cleveland Clinic, Cleveland, Ohio (P.S.L.); Department of Diagnostic Imaging, The University of Texas MD Anderson Cancer Center, Houston, Tex (M.B., K.M.E.); Department of Radiology, Vanderbilt University Medical Center, Nashville, Tenn (M.M.); Department of Radiology, Mayo Clinic, Rochester, Minn (M.K.I.); and Department of Radiology, Northwestern University, Chicago, Ill (M.S.)
| | - Irfan A Kazi
- From the Department of Diagnostic Imaging, The University of Texas Southwestern Medical Center, 201 Inwood Rd, Dallas, TX 75390 (A.H.G.); Departments of Radiology (I.A.K.) and Surgery (E.K.), University of Missouri, Columbia, Mo; Department of Radiology, Johns Hopkins Medical Institutions, Baltimore, Md (A.Z.); Department of Radiology, Cleveland Clinic, Cleveland, Ohio (P.S.L.); Department of Diagnostic Imaging, The University of Texas MD Anderson Cancer Center, Houston, Tex (M.B., K.M.E.); Department of Radiology, Vanderbilt University Medical Center, Nashville, Tenn (M.M.); Department of Radiology, Mayo Clinic, Rochester, Minn (M.K.I.); and Department of Radiology, Northwestern University, Chicago, Ill (M.S.)
| | - Atif Zaheer
- From the Department of Diagnostic Imaging, The University of Texas Southwestern Medical Center, 201 Inwood Rd, Dallas, TX 75390 (A.H.G.); Departments of Radiology (I.A.K.) and Surgery (E.K.), University of Missouri, Columbia, Mo; Department of Radiology, Johns Hopkins Medical Institutions, Baltimore, Md (A.Z.); Department of Radiology, Cleveland Clinic, Cleveland, Ohio (P.S.L.); Department of Diagnostic Imaging, The University of Texas MD Anderson Cancer Center, Houston, Tex (M.B., K.M.E.); Department of Radiology, Vanderbilt University Medical Center, Nashville, Tenn (M.M.); Department of Radiology, Mayo Clinic, Rochester, Minn (M.K.I.); and Department of Radiology, Northwestern University, Chicago, Ill (M.S.)
| | - Peter S Liu
- From the Department of Diagnostic Imaging, The University of Texas Southwestern Medical Center, 201 Inwood Rd, Dallas, TX 75390 (A.H.G.); Departments of Radiology (I.A.K.) and Surgery (E.K.), University of Missouri, Columbia, Mo; Department of Radiology, Johns Hopkins Medical Institutions, Baltimore, Md (A.Z.); Department of Radiology, Cleveland Clinic, Cleveland, Ohio (P.S.L.); Department of Diagnostic Imaging, The University of Texas MD Anderson Cancer Center, Houston, Tex (M.B., K.M.E.); Department of Radiology, Vanderbilt University Medical Center, Nashville, Tenn (M.M.); Department of Radiology, Mayo Clinic, Rochester, Minn (M.K.I.); and Department of Radiology, Northwestern University, Chicago, Ill (M.S.)
| | - Mohamed Badawy
- From the Department of Diagnostic Imaging, The University of Texas Southwestern Medical Center, 201 Inwood Rd, Dallas, TX 75390 (A.H.G.); Departments of Radiology (I.A.K.) and Surgery (E.K.), University of Missouri, Columbia, Mo; Department of Radiology, Johns Hopkins Medical Institutions, Baltimore, Md (A.Z.); Department of Radiology, Cleveland Clinic, Cleveland, Ohio (P.S.L.); Department of Diagnostic Imaging, The University of Texas MD Anderson Cancer Center, Houston, Tex (M.B., K.M.E.); Department of Radiology, Vanderbilt University Medical Center, Nashville, Tenn (M.M.); Department of Radiology, Mayo Clinic, Rochester, Minn (M.K.I.); and Department of Radiology, Northwestern University, Chicago, Ill (M.S.)
| | - Mariam Moshiri
- From the Department of Diagnostic Imaging, The University of Texas Southwestern Medical Center, 201 Inwood Rd, Dallas, TX 75390 (A.H.G.); Departments of Radiology (I.A.K.) and Surgery (E.K.), University of Missouri, Columbia, Mo; Department of Radiology, Johns Hopkins Medical Institutions, Baltimore, Md (A.Z.); Department of Radiology, Cleveland Clinic, Cleveland, Ohio (P.S.L.); Department of Diagnostic Imaging, The University of Texas MD Anderson Cancer Center, Houston, Tex (M.B., K.M.E.); Department of Radiology, Vanderbilt University Medical Center, Nashville, Tenn (M.M.); Department of Radiology, Mayo Clinic, Rochester, Minn (M.K.I.); and Department of Radiology, Northwestern University, Chicago, Ill (M.S.)
| | - Mohamed K Ibrahim
- From the Department of Diagnostic Imaging, The University of Texas Southwestern Medical Center, 201 Inwood Rd, Dallas, TX 75390 (A.H.G.); Departments of Radiology (I.A.K.) and Surgery (E.K.), University of Missouri, Columbia, Mo; Department of Radiology, Johns Hopkins Medical Institutions, Baltimore, Md (A.Z.); Department of Radiology, Cleveland Clinic, Cleveland, Ohio (P.S.L.); Department of Diagnostic Imaging, The University of Texas MD Anderson Cancer Center, Houston, Tex (M.B., K.M.E.); Department of Radiology, Vanderbilt University Medical Center, Nashville, Tenn (M.M.); Department of Radiology, Mayo Clinic, Rochester, Minn (M.K.I.); and Department of Radiology, Northwestern University, Chicago, Ill (M.S.)
| | - Moataz Soliman
- From the Department of Diagnostic Imaging, The University of Texas Southwestern Medical Center, 201 Inwood Rd, Dallas, TX 75390 (A.H.G.); Departments of Radiology (I.A.K.) and Surgery (E.K.), University of Missouri, Columbia, Mo; Department of Radiology, Johns Hopkins Medical Institutions, Baltimore, Md (A.Z.); Department of Radiology, Cleveland Clinic, Cleveland, Ohio (P.S.L.); Department of Diagnostic Imaging, The University of Texas MD Anderson Cancer Center, Houston, Tex (M.B., K.M.E.); Department of Radiology, Vanderbilt University Medical Center, Nashville, Tenn (M.M.); Department of Radiology, Mayo Clinic, Rochester, Minn (M.K.I.); and Department of Radiology, Northwestern University, Chicago, Ill (M.S.)
| | - Eric Kimchi
- From the Department of Diagnostic Imaging, The University of Texas Southwestern Medical Center, 201 Inwood Rd, Dallas, TX 75390 (A.H.G.); Departments of Radiology (I.A.K.) and Surgery (E.K.), University of Missouri, Columbia, Mo; Department of Radiology, Johns Hopkins Medical Institutions, Baltimore, Md (A.Z.); Department of Radiology, Cleveland Clinic, Cleveland, Ohio (P.S.L.); Department of Diagnostic Imaging, The University of Texas MD Anderson Cancer Center, Houston, Tex (M.B., K.M.E.); Department of Radiology, Vanderbilt University Medical Center, Nashville, Tenn (M.M.); Department of Radiology, Mayo Clinic, Rochester, Minn (M.K.I.); and Department of Radiology, Northwestern University, Chicago, Ill (M.S.)
| | - Khaled M Elsayes
- From the Department of Diagnostic Imaging, The University of Texas Southwestern Medical Center, 201 Inwood Rd, Dallas, TX 75390 (A.H.G.); Departments of Radiology (I.A.K.) and Surgery (E.K.), University of Missouri, Columbia, Mo; Department of Radiology, Johns Hopkins Medical Institutions, Baltimore, Md (A.Z.); Department of Radiology, Cleveland Clinic, Cleveland, Ohio (P.S.L.); Department of Diagnostic Imaging, The University of Texas MD Anderson Cancer Center, Houston, Tex (M.B., K.M.E.); Department of Radiology, Vanderbilt University Medical Center, Nashville, Tenn (M.M.); Department of Radiology, Mayo Clinic, Rochester, Minn (M.K.I.); and Department of Radiology, Northwestern University, Chicago, Ill (M.S.)
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Li D, Peng Q, Wang L, Cai W, Liang M, Liu S, Ma X, Zhao X. Preoperative prediction of disease-free survival in pancreatic ductal adenocarcinoma patients after R0 resection using contrast-enhanced CT and CA19-9. Eur Radiol 2024; 34:509-524. [PMID: 37507611 DOI: 10.1007/s00330-023-09980-8] [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: 10/08/2022] [Revised: 05/18/2023] [Accepted: 05/28/2023] [Indexed: 07/30/2023]
Abstract
OBJECTIVES To investigate the efficiency of a combination of preoperative contrast-enhanced computed tomography (CECT) and carbohydrate antigen 19-9 (CA19-9) in predicting disease-free survival (DFS) after R0 resection of pancreatic ductal adenocarcinoma (PDAC). METHODS A total of 138 PDAC patients who underwent curative R0 resection were retrospectively enrolled and allocated chronologically to training (n = 91, January 2014-July 2019) and validation cohorts (n = 47, August 2019-December 2020). Using univariable and multivariable Cox regression analyses, we constructed a preoperative clinicoradiographic model based on the combination of CECT features and serum CA19-9 concentrations, and validated it in the validation cohort. The prognostic performance was evaluated and compared with that of postoperative clinicopathological and tumor-node-metastasis (TNM) models. Kaplan-Meier analysis was conducted to verify the preoperative prognostic stratification performance of the proposed model. RESULTS The preoperative clinicoradiographic model included five independent prognostic factors (tumor diameter on CECT > 4 cm, extrapancreatic organ infiltration, CECT-reported lymph node metastasis, peripheral enhancement, and preoperative CA19-9 levels > 180 U/mL). It better predicted DFS than did the postoperative clinicopathological (C-index, 0.802 vs. 0.787; p < 0.05) and TNM (C-index, 0.802 vs. 0.711; p < 0.001) models in the validation cohort. Low-risk patients had significantly better DFS than patients at the high-risk, defined by the model preoperatively (p < 0.001, training cohort; p < 0.01, validation cohort). CONCLUSIONS The clinicoradiographic model, integrating preoperative CECT features and serum CA19-9 levels, helped preoperatively predict postsurgical DFS for PDAC and could facilitate clinical decision-making. CLINICAL RELEVANCE STATEMENT We constructed a simple model integrating clinical and radiological features for the prediction of disease-free survival after curative R0 resection in patients with pancreatic ductal adenocarcinoma; this novel model may facilitate preoperative identification of patients at high risk of recurrence and metastasis that may benefit from neoadjuvant treatments. KEY POINTS • Existing clinicopathological predictors for prognosis in pancreatic ductal adenocarcinoma (PDAC) patients who underwent R0 resection can only be ascertained postoperatively and do not allow preoperative prediction. • We constructed a clinicoradiographic model, using preoperative contrast-enhanced computed tomography (CECT) features and preoperative carbohydrate antigen 19-9 (CA19-9) levels, and presented it as a nomogram. • The presented model can predict disease-free survival (DFS) in patients with PDAC better than can postoperative clinicopathological or tumor-node-metastasis (TNM) models.
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Affiliation(s)
- 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, No.17, Panjiayuan Street South, Chaoyang District, Beijing, 100021, China
| | - Qing Peng
- Department of Interventional Therapy, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, 100021, China
| | - Leyao Wang
- 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, No.17, Panjiayuan Street South, Chaoyang District, Beijing, 100021, China
| | - 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, No.17, Panjiayuan Street South, Chaoyang District, Beijing, 100021, China
| | - Meng Liang
- 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, No.17, Panjiayuan Street South, Chaoyang District, Beijing, 100021, China
| | - Siyun Liu
- GE Healthcare (China), Beijing, 100176, 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, No.17, Panjiayuan Street South, Chaoyang District, Beijing, 100021, 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, No.17, Panjiayuan Street South, Chaoyang District, Beijing, 100021, China.
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Moir J, Radhakrishna G, Valle JW, Al-Adhami AS, Albazaz R. PACT-UK (PAncreatic Cancer reporting Template-UK): a cross-specialty multi-institutional consensus panel development of a standardised radiological reporting proforma for pancreatic cancer. BMJ ONCOLOGY 2023; 2:e000055. [PMID: 39886489 PMCID: PMC11203077 DOI: 10.1136/bmjonc-2023-000055] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 03/23/2023] [Accepted: 07/26/2023] [Indexed: 02/01/2025]
Abstract
Objective Appropriate staging of pancreatic cancer is essential to ensure patients are offered all treatment options. This multispecialty national collaborative consensus project aimed to develop a succinct radiological reporting template, using the concept of structured reporting, to allow a more standardised means of reporting pancreatic cancer and ultimately optimise both patient care and research protocol design. Methods and analysis In stage one, a core group of stakeholders (oncologists, radiologists and surgeons) identified the current landscape of radiological reporting, including a blinded radiological validation study and a national survey of consultant HPB surgeons. Stage two used consensus panel development methodology to generate a provisional template draft. Stage three involved trialling the template across all UK HPB units, with feedback assisting the development of a final version of the template. Results Stage one results identified a core dataset to develop a provisional template. Every UK Hepatopancreatobiliary (HPB) unit trialled this in clinical practice, leading to further refinements via consensus meetings. Ideal factors regarding tumour staging, extent of vascular involvement and response to systemic anticancer therapy were identified. This resulted in the generation of the PACT-UK (PAncreatic Cancer reporting Template-UK) template that is presented within the manuscript, as well as a user guide. Conclusion This project has successfully produced the first consensus-driven radiological reporting template for pancreatic cancer, with the aim of its use becoming standard practice in the UK, while upcoming workshops facilitated by Royal College of Radiologists/British Society of Gastrointestinal and Abdominal Radiology will establish buy-in from radiologists at all HPB units. Plans for the use of PACT-UK within national audit and clinical trials are underway.
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Affiliation(s)
- John Moir
- HPB Unit, Freeman Hospital, Newcastle upon Tyne, UK
| | - Ganesh Radhakrishna
- Department of Clinical Oncology, The Christie Hospital NHS Trust, Manchester, UK
| | - Juan W Valle
- Department of Medical Oncology, The Christie NHS Foundation Trust, Manchester, UK
- Division of Cancer Sciences, The University of Manchester, Manchester, UK
| | | | - Raneem Albazaz
- Department of Radiology, St James's University Hospital, Leeds, UK
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Zhou X, Xu D, Wang M, Ma R, Song C, Dong Z, Luo Y, Wang J, Feng ST. Preoperative assessment of peripheral vascular invasion of pancreatic ductal adenocarcinoma based on high-resolution MRI. BMC Cancer 2023; 23:1092. [PMID: 37950223 PMCID: PMC10638695 DOI: 10.1186/s12885-023-11451-8] [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: 05/23/2023] [Accepted: 09/26/2023] [Indexed: 11/12/2023] Open
Abstract
OBJECTIVES Preoperative imaging of vascular invasion is important for surgical resection of pancreatic ductal adenocarcinoma (PDAC). However, whether MRI and CT share the same evaluation criteria remains unclear. This study aimed to compare the diagnostic accuracy of high-resolution MRI (HR-MRI), conventional MRI (non-HR-MRI) and CT for PDAC vascular invasion. METHODS Pathologically proven PDAC with preoperative HR-MRI (79 cases, 58 with CT) and non-HR-MRI (77 cases, 59 with CT) were retrospectively collected. Vascular invasion was confirmed surgically or pathologically. The degree of tumour-vascular contact, vessel narrowing and contour irregularity were reviewed respectively. Diagnostic criteria 1 (C1) was the presence of all three characteristics, and criteria 2 (C2) was the presence of any one of them. The diagnostic efficacies of different examination methods and criteria were evaluated and compared. RESULTS HR-MRI showed satisfactory performance in assessing vascular invasion (AUC: 0.87-0.92), especially better sensitivity (0.79-0.86 vs. 0.40-0.79) than that with non-HR-MRI and CT. HR-MRI was superior to non-HR-MRI. C2 was superior to C1 on CT evaluation (0.85 vs. 0.79, P = 0.03). C1 was superior to C2 in the venous assessment using HR-MRI (0.90 vs. 0.87, P = 0.04) and in the arterial assessment using non-HR-MRI (0.69 vs. 0.68, P = 0.04). The combination of C1-assessed HR-MRI and C2-assessed CT was significantly better than that of CT alone (0.96 vs. 0.86, P = 0.04). CONCLUSIONS HR-MRI more accurately assessed PDAC vascular invasion than conventional MRI and may contribute to operative decision-making. C1 was more applicable to MRI scans, and C2 to CT scans. The combination of C1-assessed HR-MRI and C2-assessed CT outperformed CT alone and showed the best efficacy in preoperative examination of PDAC.
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Affiliation(s)
- Xiaoqi Zhou
- Department of Radiology, The first Affiliated Hospital, Sun Yat-Sen University, 58th, The Second Zhongshan Road, Guangzhou, Guangdong, China
| | - Danyang Xu
- Department of Radiology, The first Affiliated Hospital, Sun Yat-Sen University, 58th, The Second Zhongshan Road, Guangzhou, Guangdong, China
| | - Meng Wang
- Department of Radiology, The first Affiliated Hospital, Sun Yat-Sen University, 58th, The Second Zhongshan Road, Guangzhou, Guangdong, China
| | - Ruixia Ma
- Department of Radiology, The first Affiliated Hospital, Sun Yat-Sen University, 58th, The Second Zhongshan Road, Guangzhou, Guangdong, China
| | - Chenyu Song
- Department of Radiology, The first Affiliated Hospital, Sun Yat-Sen University, 58th, The Second Zhongshan Road, Guangzhou, Guangdong, China
| | - Zhi Dong
- Department of Radiology, The first Affiliated Hospital, Sun Yat-Sen University, 58th, The Second Zhongshan Road, Guangzhou, Guangdong, China
| | - Yanji Luo
- Department of Radiology, The first Affiliated Hospital, Sun Yat-Sen University, 58th, The Second Zhongshan Road, Guangzhou, Guangdong, China.
| | - Jifei Wang
- Department of Radiology, The first Affiliated Hospital, Sun Yat-Sen University, 58th, The Second Zhongshan Road, Guangzhou, Guangdong, China.
| | - Shi-Ting Feng
- Department of Radiology, The first Affiliated Hospital, Sun Yat-Sen University, 58th, The Second Zhongshan Road, Guangzhou, Guangdong, China.
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Song C, Min JH, Jeong WK, Kim SH, Heo JS, Han IW, Shin SH, Yoon SJ, Choi SY, Moon S. Use of individualized 3D-printed models of pancreatic cancer to improve surgeons' anatomic understanding and surgical planning. Eur Radiol 2023; 33:7646-7655. [PMID: 37231071 DOI: 10.1007/s00330-023-09756-0] [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: 11/18/2022] [Revised: 03/21/2023] [Accepted: 03/27/2023] [Indexed: 05/27/2023]
Abstract
OBJECTIVES Three-dimensional (3D) printing has been increasingly used to create accurate patient-specific 3D-printed models from medical imaging data. We aimed to evaluate the utility of 3D-printed models in the localization and understanding of pancreatic cancer for surgeons before pancreatic surgery. METHODS Between March and September 2021, we prospectively enrolled 10 patients with suspected pancreatic cancer who were scheduled for surgery. We created an individualized 3D-printed model from preoperative CT images. Six surgeons (three staff and three residents) evaluated the CT images before and after the presentation of the 3D-printed model using a 7-item questionnaire (understanding of anatomy and pancreatic cancer [Q1-4], preoperative planning [Q5], and education for trainees or patients [Q6-7]) on a 5-point scale. Survey scores on Q1-5 before and after the presentation of the 3D-printed model were compared. Q6-7 assessed the 3D-printed model's effects on education compared to CT. Subgroup analysis was performed between staff and residents. RESULTS After the 3D-printed model presentation, survey scores improved in all five questions (before 3.90 vs. after 4.56, p < 0.001), with a mean improvement of 0.57‒0.93. Staff and resident scores improved after a 3D-printed model presentation (p < 0.05), except for Q4 in the resident group. The mean difference was higher among the staff than among the residents (staff: 0.50‒0.97 vs. residents: 0.27‒0.90). The scores of the 3D-printed model for education were high (trainees: 4.47 vs. patients: 4.60) compared to CT. CONCLUSION The 3D-printed model of pancreatic cancer improved surgeons' understanding of individual patients' pancreatic cancer and surgical planning. CLINICAL RELEVANCE STATEMENT The 3D-printed model of pancreatic cancer can be created using a preoperative CT image, which not only assists surgeons in surgical planning but also serves as a valuable educational resource for patients and students. KEY POINTS • A personalized 3D-printed pancreatic cancer model provides more intuitive information than CT, allowing surgeons to better visualize the tumor's location and relationship to neighboring organs. • In particular, the survey score was higher among staff who performed the surgery than among residents. • Individual patient pancreatic cancer models have the potential to be used for personalized patient education as well as resident education.
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Affiliation(s)
- Chorog Song
- Department of Radiology and Center for Imaging Science, Samsung Medical Center, Sungkyunkwan University School of Medicine, 81 Irwon-ro Gangnam-gu, Seoul, 06351, Republic of Korea
| | - Ji Hye Min
- Department of Radiology and Center for Imaging Science, Samsung Medical Center, Sungkyunkwan University School of Medicine, 81 Irwon-ro Gangnam-gu, Seoul, 06351, Republic of Korea.
| | - Woo Kyoung Jeong
- Department of Radiology and Center for Imaging Science, Samsung Medical Center, Sungkyunkwan University School of Medicine, 81 Irwon-ro Gangnam-gu, Seoul, 06351, Republic of Korea
| | - Seong Hyun Kim
- Department of Radiology and Center for Imaging Science, Samsung Medical Center, Sungkyunkwan University School of Medicine, 81 Irwon-ro Gangnam-gu, Seoul, 06351, Republic of Korea
| | - Jin Seok Heo
- Division of Hepatobiliary-Pancreatic Surgery, Department of Surgery, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Republic of Korea
| | - In Woong Han
- Division of Hepatobiliary-Pancreatic Surgery, Department of Surgery, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Republic of Korea
| | - Sang Hyun Shin
- Division of Hepatobiliary-Pancreatic Surgery, Department of Surgery, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Republic of Korea
| | - So Jeong Yoon
- Division of Hepatobiliary-Pancreatic Surgery, Department of Surgery, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Republic of Korea
| | - Seo-Youn Choi
- Department of Radiology, Soonchunhyang University Bucheon Hospital, Soonchunhyang University College of Medicine, Bucheon, Republic of Korea
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11
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Shoukat S, Zia MA, Uzair M, Alsubki RA, Sajid K, Shoukat S, Attia KA, Fiaz S, Ali S, Kimiko I, Ali GM. Synergistic neuroprotection by phytocompounds of Bacopa monnieri in scopolamine-induced Alzheimer's disease mice model. Mol Biol Rep 2023; 50:7967-7979. [PMID: 37535247 DOI: 10.1007/s11033-023-08674-0] [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: 05/27/2023] [Accepted: 07/07/2023] [Indexed: 08/04/2023]
Abstract
BACKGROUND Millions of people around the globe are affected by Alzheimer's disease (AD). This crippling condition has no treatment despite intensive studies. Some phytocompounds have been shown to protect against Alzheimer's in recent studies. METHODS Thus, this work aimed to examine Bacopa monnieri phytocompounds' synergistic effects on neurodegeneration, antioxidant activity, and cognition in the scopolamine-induced AD mice model. The toxicity study of two phytocompounds: quercetin and bacopaside X revealed an LD50 of more than 2000 mg/kg since no deaths occurred. RESULTS The neuroprotection experiment consists of 6 groups i.e., control (saline), scopolamine (1 mg/kg), donepezil (5 mg/kg), Q (25 mg/kg), BX (20 mg/kg), and Q + BX (25 mg/kg + 20 mg/kg). Visual behavioral assessment using the Morris water maze showed that animals in the diseased model group (scopolamine) moved more slowly toward the platform and exhibited greater thigmotaxis behavior than the treatment and control groups. Likewise, the concentration of biochemical NO, GSH, and MDA improved in treatment groups concerning the diseased group. mRNA levels of different marker genes including ChAT, IL-1α, IL-1 β, TNF α, tau, and β secretase (BACE1) improved in treatment groups with respect to the disease group. CONCLUSION Both bacopaside X and quercetin synergistically have shown promising results in neuroprotection. Therefore, it is suggested that Q and BX may work synergistically due to their antioxidant and neuroprotective property.
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Affiliation(s)
- Shehla Shoukat
- Department of Plant Genomics and Biotechnology, PARC Institute of Advanced Studies in Agriculture, Affiliated with Quaid-e-Azam University, National Agriculture Research Centre, Islamabad, Pakistan.
| | - Muhammad Amir Zia
- National Institute for Genomics and Advanced Biotechnology, National Agriculture Research Centre, Islamabad, Pakistan
| | - Muhammad Uzair
- National Institute for Genomics and Advanced Biotechnology, National Agriculture Research Centre, Islamabad, Pakistan
| | - Roua A Alsubki
- Department of Clinical Laboratory Science, College of Applied Medical Sciences, King Saud University, P.O. Box 2455, Riyadh, 11451, Saudi Arabia
| | - Kaynat Sajid
- Department of Biotechnology, University of Gujrat, Gujrat, Pakistan
| | - Sana Shoukat
- Centre for Applied Molecular Biology (CAMB), University of the Punjab, Lahore, Pakistan
| | - Kotb A Attia
- Department of Biochemistry, College of Science, King Saud University, P.O. Box 2455, Riyadh, 11451, Saudi Arabia
| | - Sajid Fiaz
- Department of Plant Breeding and Genetics, University of Haripur, Haripur, Pakistan
| | - Shaukat Ali
- National Institute for Genomics and Advanced Biotechnology, National Agriculture Research Centre, Islamabad, Pakistan.
| | - Itoh Kimiko
- Department of Plant Breeding and Genetics, University of Haripur, Haripur, Pakistan
- Institute of Science and Technology, Niigata University, Ikarashi-2, Nishi-ku, Niigata, 950-2181, Japan
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Rigiroli F, Hoye J, Lerebours R, Lyu P, Lafata KJ, Zhang AR, Erkanli A, Mettu NB, Morgan DE, Samei E, Marin D. Exploratory analysis of mesenteric-portal axis CT radiomic features for survival prediction of patients with pancreatic ductal adenocarcinoma. Eur Radiol 2023; 33:5779-5791. [PMID: 36894753 DOI: 10.1007/s00330-023-09532-0] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/07/2022] [Revised: 11/23/2022] [Accepted: 01/29/2023] [Indexed: 03/11/2023]
Abstract
OBJECTIVE To develop and evaluate task-based radiomic features extracted from the mesenteric-portal axis for prediction of survival and response to neoadjuvant therapy in patients with pancreatic ductal adenocarcinoma (PDAC). METHODS Consecutive patients with PDAC who underwent surgery after neoadjuvant therapy from two academic hospitals between December 2012 and June 2018 were retrospectively included. Two radiologists performed a volumetric segmentation of PDAC and mesenteric-portal axis (MPA) using a segmentation software on CT scans before (CTtp0) and after (CTtp1) neoadjuvant therapy. Segmentation masks were resampled into uniform 0.625-mm voxels to develop task-based morphologic features (n = 57). These features aimed to assess MPA shape, MPA narrowing, changes in shape and diameter between CTtp0 and CTtp1, and length of MPA segment affected by the tumor. A Kaplan-Meier curve was generated to estimate the survival function. To identify reliable radiomic features associated with survival, a Cox proportional hazards model was used. Features with an ICC ≥ 0.80 were used as candidate variables, with clinical features included a priori. RESULTS In total, 107 patients (60 men) were included. The median survival time was 895 days (95% CI: 717, 1061). Three task-based shape radiomic features (Eccentricity mean tp0, Area minimum value tp1, and Ratio 2 minor tp1) were selected. The model showed an integrated AUC of 0.72 for prediction of survival. The hazard ratio for the Area minimum value tp1 feature was 1.78 (p = 0.02) and 0.48 for the Ratio 2 minor tp1 feature (p = 0.002). CONCLUSION Preliminary results suggest that task-based shape radiomic features can predict survival in PDAC patients. KEY POINTS • In a retrospective study of 107 patients who underwent neoadjuvant therapy followed by surgery for PDAC, task-based shape radiomic features were extracted and analyzed from the mesenteric-portal axis. • A Cox proportional hazards model that included three selected radiomic features plus clinical information showed an integrated AUC of 0.72 for prediction of survival, and a better fit compared to the model with only clinical information.
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Affiliation(s)
- Francesca Rigiroli
- Department of Radiology, Duke University Health System, 2301 Erwin Road, Box 3808, Durham, NC, 27710, USA.
- Department of Radiology, Beth Israel Deaconess Medical Center, Harvard Medical School, 1 Deaconess Road, Boston, MA, 02215, USA.
| | - Jocelyn Hoye
- Carl E. Ravin Advanced Imaging Laboratories, Durham, NC, USA
| | - Reginald Lerebours
- Department of Biostatistics and Bioinformatics, Duke University, Durham, NC, USA
| | - Peijie Lyu
- Department of Radiology, Duke University Health System, 2301 Erwin Road, Box 3808, Durham, NC, 27710, USA
- The Department of Radiology, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, Henan Province, People's Republic of China
| | - Kyle J Lafata
- Carl E. Ravin Advanced Imaging Laboratories, Durham, NC, USA
- Department of Radiation Oncology, Duke University Medical Center, Durham, NC, USA
| | - Anru R Zhang
- Department of Biostatistics and Bioinformatics, Duke University, Durham, NC, USA
| | - Alaattin Erkanli
- Department of Biostatistics and Bioinformatics, Duke University, Durham, NC, USA
| | | | - Desiree E Morgan
- Department of Radiology, University of Alabama at Birmingham, Birmingham, AL, USA
| | - Ehsan Samei
- Carl E. Ravin Advanced Imaging Laboratories, Durham, NC, USA
| | - Daniele Marin
- Department of Radiology, Duke University Health System, 2301 Erwin Road, Box 3808, Durham, NC, 27710, USA
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Botta GP, Huynh TR, Spierling‐Bagsic SR, Agelidis A, Schaffer R, Lin R, Sigal D. Neoadjuvant chemotherapy and radiotherapy outcomes in borderline-resectable and locally-advanced pancreatic cancer patients. Cancer Med 2023; 12:7713-7723. [PMID: 36478411 PMCID: PMC10134275 DOI: 10.1002/cam4.5523] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/04/2022] [Revised: 11/07/2022] [Accepted: 11/25/2022] [Indexed: 12/12/2022] Open
Abstract
BACKGROUND There is no agreed upon standard of care for borderline-resectable pancreatic cancer (BRPC) or locally-advanced pancreatic cancer (LAPC) patients regarding the benefit of chemotherapy or radiation alone or in combination. PATIENTS AND METHODS We completed a retrospective cohort analysis of BRPC and LAPC patients at a cancer center with expertise in multi-disciplinary pancreatic ductal adenocarcinoma (PDAC) treatment over a 5-year period from 03/01/2014 to 03/01/2019 (cut-off date). The total evaluable newly diagnosed, treatment naïve, BRPC, and LAPC patients with adequate organ function and ability to obtain treatment after multidisciplinary review was 52 patients. After analysis, patients were evaluated for rates of resection, extent of resection (R0 or R1), median progression-free survival (mPFS), and median overall survival (mOS). RESULTS Patients were treated with chemotherapy alone (gemcitabine and nab-paclitaxel = 77% (20/26); FOLFIRINOX = 19% (5/26); single agent gemcitabine 3.8% (1/26)), or chemotherapy followed by chemoradiation (gemcitabine +5 Gy × 5 weeks), or chemoradiation alone prior to re-staging and potential resection. Of the 29% (15/52) of patients who went on to surgical resection, 73% (11/15) achieved R0 resection. An R0 resection was achieved in 35% (9/26) of patients treated with chemotherapy alone, 7.6% (1/13) in a patient treated with chemotherapy followed by radiation, and 7.6% (1/13) with concurrent chemoradiotherapy alone. Chemotherapy alone achieved a mPFS of 16.4 months (p < 0.0025) and mOS of 26.2 months (p < 0.0001), chemotherapy followed by chemoradiation was 13.0 months and 14.9 months respectively, while concurrent chemoradiotherapy was 6.9 months and 7.3 months. CONCLUSIONS AND RELEVANCE BRPC and LAPC patients capable of surgery after only receiving neoadjuvant treatment with chemotherapy had higher rates of R0 resection with prolonged median PFS and OS compared with any patient needing combination chemotherapy with radiotherapy.
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Affiliation(s)
- Gregory P. Botta
- Division of Hematology/Oncology, Department of Medicine, Moores Cancer CenterUniversity of California San DiegoLa JollaCaliforniaUSA
- Division of Medical OncologyScripps MD Anderson Cancer CenterLa JollaCaliforniaUSA
- Scripps Research Translational InstituteLa JollaCaliforniaUSA
| | - Tridu R. Huynh
- Division of Hematology/Oncology, Department of Medicine, Moores Cancer CenterUniversity of California San DiegoLa JollaCaliforniaUSA
- Scripps Research Translational InstituteLa JollaCaliforniaUSA
- Division of Internal MedicineScripps Clinic/Green HospitalLa JollaCaliforniaUSA
| | | | - Alexander Agelidis
- Scripps Research Translational InstituteLa JollaCaliforniaUSA
- Division of Internal MedicineScripps Clinic/Green HospitalLa JollaCaliforniaUSA
| | - Randolph Schaffer
- Division of Hepatopancreatobiliary SurgeryScripps MD Anderson Cancer CenterLa JollaCaliforniaUSA
| | - Ray Lin
- Division of Radiation OncologyScripps MD Anderson Cancer CenterLa JollaCaliforniaUSA
| | - Darren Sigal
- Division of Medical OncologyScripps MD Anderson Cancer CenterLa JollaCaliforniaUSA
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Fujita N, Ushijima Y, Itoyama M, Okamoto D, Ishimatsu K, Wada N, Takao S, Murayama R, Fujimori N, Nakata K, Nakamura M, Yamamoto T, Oda Y, Ishigami K. Extracellular volume fraction determined by dual-layer spectral detector CT: Possible role in predicting the efficacy of preoperative neoadjuvant chemotherapy in pancreatic ductal adenocarcinoma. Eur J Radiol 2023; 162:110756. [PMID: 36907069 DOI: 10.1016/j.ejrad.2023.110756] [Citation(s) in RCA: 6] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/08/2022] [Revised: 02/12/2023] [Accepted: 02/21/2023] [Indexed: 03/07/2023]
Abstract
PURPOSE To clarify the relationship between extracellular volume (ECV) measured by dual-energy CT (DECT) and efficacy of preoperative neoadjuvant chemotherapy (NAC) in patients with pancreatic ductal adenocarcinoma (PDAC), as compared with single-energy CT (SECT). METHODS We enrolled 67 patients with PDAC who underwent dynamic contrast-enhanced CT with a dual-energy CT system prior to NAC. Attenuation values were measured on unenhanced and the equilibrium-phase 120-kVp equivalent CT images for PDAC and the aorta. ΔHU-tumor, ΔHU-tumor/ΔHU-aorta, and SECT-ECV were calculated. Iodine densities of the tumor and aorta were measured in the equilibrium phase, and DECT-ECV of the tumor was calculated. Response to NAC was evaluated and the correlation between imaging parameters and response to NAC was statistically assessed. RESULTS Tumor DECT-ECVs were significantly lower in the response group (n = 7) than in the non-response group (n = 60), with most significant difference (p = 0.0104). DECT-ECV showed highest diagnostic value with an Az value of 0.798. When using the optimal cut off value of DECT-ECV (<26.0 %), sensitivity, specificity, accuracy, positive predictive value, and negative value for predicting response group were 71.4 %, 85.0 %, 83.6 %, 35.7 % and 96.2 %, respectively. CONCLUSION PDAC with lower DECT-ECV can potentially show better response to NAC. DECT-ECV might be a useful biomarker for predicting response to NAC in patients with PDAC.
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Affiliation(s)
- Nobuhiro Fujita
- Department of Clinical Radiology, Graduate School of Medical Sciences, Kyushu University, 3-1-1 Maidashi, Higashi-ku, Fukuoka 812-8582, Japan.
| | - Yasuhiro Ushijima
- Department of Clinical Radiology, Graduate School of Medical Sciences, Kyushu University, 3-1-1 Maidashi, Higashi-ku, Fukuoka 812-8582, Japan
| | - Masahiro Itoyama
- Department of Clinical Radiology, Graduate School of Medical Sciences, Kyushu University, 3-1-1 Maidashi, Higashi-ku, Fukuoka 812-8582, Japan
| | - Daisuke Okamoto
- Department of Clinical Radiology, Graduate School of Medical Sciences, Kyushu University, 3-1-1 Maidashi, Higashi-ku, Fukuoka 812-8582, Japan
| | - Keisuke Ishimatsu
- Department of Molecular Imaging and Diagnosis, Graduate School of Medical Sciences, Kyushu University, 3-1-1 Maidashi, Higashi-ku, Fukuoka 812-8582, Japan
| | - Noriaki Wada
- Department of Clinical Radiology, Graduate School of Medical Sciences, Kyushu University, 3-1-1 Maidashi, Higashi-ku, Fukuoka 812-8582, Japan
| | - Seiichiro Takao
- Department of Clinical Radiology, Graduate School of Medical Sciences, Kyushu University, 3-1-1 Maidashi, Higashi-ku, Fukuoka 812-8582, Japan
| | - Ryo Murayama
- Department of Clinical Radiology, Graduate School of Medical Sciences, Kyushu University, 3-1-1 Maidashi, Higashi-ku, Fukuoka 812-8582, Japan
| | - Nao Fujimori
- Department of Medicine and Bioregulatory Science, Graduate School of Medical Sciences, Kyushu University, 3-1-1 Maidashi, Higashi-ku, Fukuoka 812-8582, Japan
| | - Kohei Nakata
- Department of Surgery and Oncology, Graduate School of Medical Sciences, Kyushu University, 3-1-1 Maidashi, Higashi-ku, Fukuoka 812-8582, Japan
| | - Masafumi Nakamura
- Department of Surgery and Oncology, Graduate School of Medical Sciences, Kyushu University, 3-1-1 Maidashi, Higashi-ku, Fukuoka 812-8582, Japan
| | - Takeo Yamamoto
- Department of Anatomic Pathology, Graduate School of Medical Sciences, Kyushu University, 3-1-1 Maidashi, Higashi-ku, Fukuoka 812-8582, Japan
| | - Yoshinao Oda
- Department of Anatomic Pathology, Graduate School of Medical Sciences, Kyushu University, 3-1-1 Maidashi, Higashi-ku, Fukuoka 812-8582, Japan
| | - Kousei Ishigami
- Department of Clinical Radiology, Graduate School of Medical Sciences, Kyushu University, 3-1-1 Maidashi, Higashi-ku, Fukuoka 812-8582, Japan
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15
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Javed AA, Young RWC, Habib JR, Kinny-Köster B, Cohen SM, Fishman EK, Wolfgang CL. Cinematic Rendering: Novel Tool for Improving Pancreatic Cancer Surgical Planning. Curr Probl Diagn Radiol 2022; 51:878-883. [PMID: 35595587 DOI: 10.1067/j.cpradiol.2022.04.001] [Citation(s) in RCA: 14] [Impact Index Per Article: 4.7] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/19/2022] [Revised: 03/24/2022] [Accepted: 04/18/2022] [Indexed: 12/17/2023]
Abstract
Pancreatic ductal adenocarcinoma is the third-leading cause of all cancer-related deaths in the US. While 20% of patients have resectable disease at diagnosis, improved control of systemic disease using effective chemotherapeutic regimens allows for aggressive operations involving complex vascular resection and reconstruction. A pancreas protocol computed tomography (PPCT) is the gold standard imaging modality in determining local resectability (degree of tumor-vessel involvement), however, it is limited by the inter-operator variability. While post-processing-3D-rendering helps, it does not allow for real-time dynamic assessment of resectability. A recent development in post-process-rendering called cinematic rendering (CR) overcomes this by utilizing advanced light modeling to generate photorealistic 3D images with enhanced details. Cinematic rendering allows for nuanced visualization of areas of interest. Our preliminary experience, as one of the first centers to incorporate the routine use of CR, has proven very useful in surgical planning. For local determination of resectability, vascular mapping allows for accurate assessment of major arteries and the portovenous system. For the portovenous anatomy it assists in determining the optimal surgical approach (extent of resection, appropriate technique for reconstruction, and need for mesocaval shunting). For arterial anatomy, vessel encasement either represents dissectible involvement via periadventitial dissection or true vessel invasion that is unresectable. CR could potentially provide superior ability than traditional PPCT to discern between the two. Additionally, CR allows for better 3D visualization of arterial anatomic variants which, if not appreciated preoperatively, increases risk of intraoperative ischemia and postoperative complications. Lastly, CR could help avoid unnecessary surgery by enhanced identification of occult metastatic disease that is metastatic disease that is otherwise not appreciated on a standard PPCT.
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Affiliation(s)
- Ammar A Javed
- Department of Surgery, The Johns Hopkins School of Medicine, Baltimore, MD; Department of Surgery, NYU Grossman School of Medicine, New York, NY
| | - Robert W C Young
- Department of Surgery, The Johns Hopkins School of Medicine, Baltimore, MD
| | - Joseph R Habib
- Department of Surgery, The Johns Hopkins School of Medicine, Baltimore, MD
| | - Benedict Kinny-Köster
- Department of Surgery, The Johns Hopkins School of Medicine, Baltimore, MD; Department of Surgery, NYU Grossman School of Medicine, New York, NY
| | - Steven M Cohen
- Department of Surgery, NYU Grossman School of Medicine, New York, NY
| | - Elliot K Fishman
- Department of Radiology, The Johns Hopkins School of Medicine, Baltimore, MD
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16
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Liang H, Zhou Y, Zheng Q, Yan G, Liao H, Du S, Zhang X, Lv F, Zhang Z, Li YM. Dual-energy CT with virtual monoenergetic images and iodine maps improves tumor conspicuity in patients with pancreatic ductal adenocarcinoma. Insights Imaging 2022; 13:153. [PMID: 36153376 PMCID: PMC9509509 DOI: 10.1186/s13244-022-01297-2] [Citation(s) in RCA: 20] [Impact Index Per Article: 6.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/21/2022] [Accepted: 09/05/2022] [Indexed: 11/10/2022] Open
Abstract
Objectives To evaluate the value of monoenergetic images (MEI [+]) and iodine maps in dual-source dual-energy computed tomography (DECT) for assessing pancreatic ductal adenocarcinoma (PDAC), including the visually isoattenuating PDAC. Materials and methods This retrospective study included 75 PDAC patients, who underwent contrast-enhanced DECT examinations. Conventional polyenergetic image (PEI) and 40–80 keV MEI (+) (10-keV increments) were reconstructed. The tumor contrast, contrast-to-noise ratio (CNR) of the tumor and peripancreatic vessels, the signal-to-noise ratio (SNR) of the pancreas and tumor, and the tumor diameters were quantified. On iodine maps, the normalized iodine concentration (NIC) in the tumor and parenchyma was compared. For subjective analysis, two radiologists independently evaluated images on a 5-point scale. Results All the quantitative parameters were maximized at 40-keV MEI (+) and decreased gradually with increasing energy. The tumor contrast, SNR of pancreas and CNRs in 40–60 keV MEI (+) were significantly higher than those in PEI (p < 0.05). For visually isoattenuating PDAC, 40–50 keV MEI (+) provided significantly higher tumor CNR compared to PEI (p < 0.05). The reproducibility in tumor measurements was highest in 40-keV MEI (+) between the two radiologists. The tumor and parenchyma NIC were 1.28 ± 0.65 and 3.38 ± 0.72 mg/mL, respectively (p < 0.001). 40–50 keV MEI (+) provided the highest subjective scores, compared to PEI (p < 0.001). Conclusions Low-keV MEI (+) of DECT substantially improves the subjective and objective image quality and consistency of tumor measurements in patients with PDAC. Combining the low-keV MEI (+) and iodine maps may yield diagnostically adequate tumor conspicuity in visually isoattenuating PDAC.
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17
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Yan G, Yan G, Li H, Liang H, Peng C, Bhetuwal A, McClure MA, Li Y, Yang G, Li Y, Zhao L, Fan X. Radiomics and Its Applications and Progress in Pancreatitis: A Current State of the Art Review. Front Med (Lausanne) 2022; 9:922299. [PMID: 35814756 PMCID: PMC9259974 DOI: 10.3389/fmed.2022.922299] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/17/2022] [Accepted: 05/31/2022] [Indexed: 11/25/2022] Open
Abstract
Radiomics involves high-throughput extraction and analysis of quantitative information from medical images. Since it was proposed in 2012, there are some publications on the application of radiomics for (1) predicting recurrent acute pancreatitis (RAP), clinical severity of acute pancreatitis (AP), and extrapancreatic necrosis in AP; (2) differentiating mass-forming chronic pancreatitis (MFCP) from pancreatic ductal adenocarcinoma (PDAC), focal autoimmune pancreatitis (AIP) from PDAC, and functional abdominal pain (functional gastrointestinal diseases) from RAP and chronic pancreatitis (CP); and (3) identifying CP and normal pancreas, and CP risk factors and complications. In this review, we aim to systematically summarize the applications and progress of radiomics in pancreatitis and it associated situations, so as to provide reference for related research.
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Affiliation(s)
- Gaowu Yan
- Department of Radiology, Suining Central Hospital, Suining, China
| | - Gaowen Yan
- Department of Radiology, The First Hospital of Suining, Suining, China
| | - Hongwei Li
- Department of Radiology, The Third Hospital of Mianyang and Sichuan Mental Health Center, Mianyang, China
| | - Hongwei Liang
- Department of Radiology, The First Affiliated Hospital of Chongqing Medical University, Chongqing, China
| | - Chen Peng
- Department of Gastroenterology, The First Hospital of Suining, Suining, China
| | - Anup Bhetuwal
- Sichuan Key Laboratory of Medical Imaging, Department of Radiology, Affiliated Hospital of North Sichuan Medical College, Nanchong, China
| | - Morgan A. McClure
- Department of Radiology and Imaging, Institute of Rehabilitation and Development of Brain Function, The Second Clinical Medical College of North Sichuan Medical College, Nanchong Central Hospital, Nanchong, China
| | - Yongmei Li
- Department of Radiology, The First Affiliated Hospital of Chongqing Medical University, Chongqing, China
- *Correspondence: Yongmei Li
| | - Guoqing Yang
- Department of Radiology, Suining Central Hospital, Suining, China
- Guoqing Yang
| | - Yong Li
- Department of Radiology, Suining Central Hospital, Suining, China
- Yong Li
| | - Linwei Zhao
- Department of Radiology, Suining Central Hospital, Suining, China
| | - Xiaoping Fan
- Department of Radiology, Suining Central Hospital, Suining, China
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18
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Daamen LA, Dorland G, Brada LJH, Groot VP, van Oosten AF, Besselink MG, Bosscha K, Bonsing BA, Busch OR, Cirkel GA, van Dam RM, Festen S, Groot Koerkamp B, Haj Mohammad N, van der Harst E, de Hingh IHJT, Intven MPW, Kazemier G, Los M, de Meijer VE, Nieuwenhuijs VB, Roos D, Schreinemakers JMJ, Stommel MWJ, Verdonk RC, Verkooijen HM, Molenaar IQ, van Santvoort HC. Preoperative predictors for early and very early disease recurrence in patients undergoing resection of pancreatic ductal adenocarcinoma. HPB (Oxford) 2022; 24:535-546. [PMID: 34642090 DOI: 10.1016/j.hpb.2021.09.004] [Citation(s) in RCA: 21] [Impact Index Per Article: 7.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/04/2020] [Revised: 07/02/2021] [Accepted: 09/06/2021] [Indexed: 12/12/2022]
Abstract
BACKGROUND This study aimed to identify predictors for early and very early disease recurrence in patients undergoing resection of pancreatic ductal adenocarcinoma (PDAC) resection with and without neoadjuvant therapy. METHODS Included were patients who underwent PDAC resection (2014-2016). Multivariable multinomial regression was performed to identify preoperative predictors for manifestation of recurrence within 3, 6 and 12 months after PDAC resection. RESULTS 836 patients with a median follow-up of 37 (interquartile range [IQR] 30-48) months and overall survival of 18 (IQR 10-32) months were analyzed. 670 patients (80%) developed recurrence: 82 patients (10%) <3 months, 96 patients (11%) within 3-6 months and 226 patients (27%) within 6-12 months. LogCA 19-9 (OR 1.25 [95% CI 1.10-1.41]; P < 0.001) and neoadjuvant treatment (OR 0.09 [95% CI 0.01-0.68]; P = 0.02) were associated with recurrence <3 months. LogCA 19-9 (OR 1.23 [95% CI 1.10-1.38]; P < 0.001) and 0-90° venous involvement on CT imaging (OR 2.93 [95% CI 1.60-5.37]; P < 0.001) were associated with recurrence within 3-6 months. A Charlson Age Comorbidity Index ≥4 (OR 1.53 [95% CI 1.09-2.16]; P = 0.02) and logCA 19-9 (OR 1.24 [95% CI 1.14-1.35]; P < 0.001) were related to recurrence within 6-12 months. CONCLUSION This study demonstrates preoperative predictors that are associated with the manifestation of early and very early recurrence after PDAC resection. Knowledge of these predictors can be used to guide individualized surveillance and treatment strategies.
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Affiliation(s)
- Lois A Daamen
- Dept. of Surgery, UMC Utrecht Cancer Center, Utrecht University, Utrecht, the Netherlands; Dept. of Radiation Oncology, UMC Utrecht Cancer Center, Utrecht University, Utrecht, the Netherlands.
| | - Galina Dorland
- Dept. of Surgery, UMC Utrecht Cancer Center, Utrecht University, Utrecht, the Netherlands; Dept. of Surgery, Cancer Center Amsterdam, Amsterdam UMC, University of Amsterdam, the Netherlands
| | - Lilly J H Brada
- Dept. of Surgery, UMC Utrecht Cancer Center, Utrecht University, Utrecht, the Netherlands; Dept. of Surgery, Cancer Center Amsterdam, Amsterdam UMC, University of Amsterdam, the Netherlands
| | - Vincent P Groot
- Dept. of Surgery, UMC Utrecht Cancer Center, Utrecht University, Utrecht, the Netherlands
| | - A Floortje van Oosten
- Dept. of Surgery, UMC Utrecht Cancer Center, Utrecht University, Utrecht, the Netherlands; Dept. of Surgery, The Sol Goldman Pancreatic Cancer Research Center, The Johns Hopkins University School of Medicine, Baltimore, MD, USA
| | - Marc G Besselink
- Dept. of Surgery, Cancer Center Amsterdam, Amsterdam UMC, University of Amsterdam, the Netherlands
| | - Koop Bosscha
- Dept. of Surgery, Jeroen Bosch Hospital, Den Bosch, the Netherlands
| | - Bert A Bonsing
- Dept. of Surgery, Leiden University Medical Center, Leiden, the Netherlands
| | - Olivier R Busch
- Dept. of Surgery, Cancer Center Amsterdam, Amsterdam UMC, University of Amsterdam, the Netherlands
| | - Geert A Cirkel
- Dept. of Medical Oncology, Regional Academic Cancer Center Utrecht, UMC Utrecht Cancer Center & St. Antonius Hospital Nieuwegein, Utrecht University, the Netherlands; Dept. of Medical Oncology, Meander Medical Center, Amersfoort, the Netherlands
| | | | | | | | - Nadia Haj Mohammad
- Dept. of Medical Oncology, Regional Academic Cancer Center Utrecht, UMC Utrecht Cancer Center & St. Antonius Hospital Nieuwegein, Utrecht University, the Netherlands
| | | | | | - Martijn P W Intven
- Dept. of Radiation Oncology, UMC Utrecht Cancer Center, Utrecht University, Utrecht, the Netherlands
| | - Geert Kazemier
- Dept. of Surgery, Cancer Center Amsterdam, Amsterdam UMC, Vrije Universiteit, Amsterdam, the Netherlands
| | - Maartje Los
- Dept. of Medical Oncology, Regional Academic Cancer Center Utrecht, UMC Utrecht Cancer Center & St. Antonius Hospital Nieuwegein, Utrecht University, the Netherlands
| | - Vincent E de Meijer
- Dept. of Surgery, University of Groningen, University Medical Center Groningen, Groningen, the Netherlands
| | | | - Daphne Roos
- Dept. of Surgery, Reinier de Graaf Group, Delft, the Netherlands
| | | | - Martijn W J Stommel
- Dept. of Surgery, Radboud University Medical Center, Nijmegen, the Netherlands
| | - Robert C Verdonk
- Dept. of Gastroenterology, Regional Academic Cancer Center Utrecht, UMC Utrecht Cancer Center & St. Antonius Hospital Nieuwegein, the Netherlands
| | - Helena M Verkooijen
- Imaging Division, University Medical Centre Utrecht, the Netherlands; Utrecht University, Utrecht, the Netherlands
| | - I Quintus Molenaar
- Dept. of Surgery, Regional Academic Cancer Center Utrecht, UMC Utrecht Cancer Center & St. Antonius Hospital Nieuwegein, Utrecht University, the Netherlands
| | - Hjalmar C van Santvoort
- Dept. of Surgery, Regional Academic Cancer Center Utrecht, UMC Utrecht Cancer Center & St. Antonius Hospital Nieuwegein, Utrecht University, the Netherlands.
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Soloff EV, Al-Hawary MM, Desser TS, Fishman EK, Minter RM, Zins M. Imaging Assessment of Pancreatic Cancer Resectability After Neoadjuvant Therapy: AJR Expert Panel Narrative Review. AJR Am J Roentgenol 2022; 218:570-581. [PMID: 34851713 DOI: 10.2214/ajr.21.26931] [Citation(s) in RCA: 12] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/13/2022]
Abstract
Despite important innovations in the treatment of pancreatic ductal adenocarcinoma (PDAC), PDAC remains a disease with poor prognosis and high mortality. A key area for potential improvement in the management of PDAC, aside from earlier detection in patients with treatable disease, is the improved ability of imaging techniques to differentiate treatment response after neoadjuvant therapy (NAT) from worsening disease. It is well established that current imaging techniques cannot reliably make this distinction. This narrative review provides an update on the imaging assessment of pancreatic cancer resectability after NAT. Current definitions of borderline resectable PDAC, as well as implications for determining likely patient benefit from NAT, are described. Challenges associated with PDAC pathologic evaluation and surgical decision making that are of relevance to radiologists are discussed. Also explored are the specific limitations of imaging in differentiating the response after NAT from stable or worsening disease, including issues relating to protocol optimization, tumor size assessment, vascular assessment, and liver metastasis detection. The roles of MRI as well as PET and/or hybrid imaging are considered. Finally, a short PDAC reporting template is provided for use after NAT. The highlighted methods seek to improve radiologists' assessment of PDAC treatment response after NAT.
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Affiliation(s)
- Erik V Soloff
- Department of Radiology, University of Washington, Seattle, WA
| | - Mahmoud M Al-Hawary
- Department of Radiology and Internal Medicine, Michigan Medicine, Ann Arbor, MI
| | - Terry S Desser
- Department of Radiology, Stanford University School of Medicine, Stanford, CA
| | - Elliot K Fishman
- Department of Radiology and Radiological Science, Johns Hopkins Hospital, Baltimore, MD
| | - Rebecca M Minter
- Department of Surgery, University of Wisconsin School of Medicine and Public Health, Madison, WI
| | - Marc Zins
- Department of Radiology, Groupe Hospitalier Paris Saint Joseph, 185 Rue R Losserand, Paris 75014, France
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20
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Pey P, Specchi S, Rossi F, Diana A, Drudi I, Zwingenberger AL, Mayhew PD, Pisoni L, Mari D, Massari F, Dalpozzo B, Fracassi F, Nicoli S. Prediction of vascular invasion using a 7-point scale computed tomography grading system in adrenal tumors in dogs. J Vet Intern Med 2022; 36:713-725. [PMID: 35233853 PMCID: PMC8965227 DOI: 10.1111/jvim.16371] [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] [Subscribe] [Scholar Register] [Received: 05/27/2021] [Revised: 01/14/2022] [Accepted: 01/14/2022] [Indexed: 02/06/2023] Open
Abstract
BACKGROUND Previous studies evaluating the accuracy of computed tomography (CT) in detecting caudal vena cava (CVC) invasion by adrenal tumors (AT) used a binary system and did not evaluate for other vessels. OBJECTIVE Test a 7-point scale CT grading system for accuracy in predicting vascular invasion and for repeatability among radiologists. Build a decision tree based on CT criteria to predict tumor type. METHODS Retrospective observational cross-sectional case study. Abdominal CT studies were analyzed by 3 radiologists using a 7-point CT grading scale for vascular invasion and by 1 radiologist for CT features of AT. ANIMALS Dogs with AT that underwent adrenalectomy and had pre- and postcontrast CT. RESULTS Ninety-one dogs; 45 adrenocortical carcinomas (50%), 36 pheochromocytomas (40%), 9 adrenocortical adenomas (10%) and 1 unknown tumor. Carcinoma and pheochromocytoma differed in pre- and postcontrast attenuation, contralateral adrenal size, tumor thrombus short- and long-axis, and tumor and thrombus mineralization. A decision tree was built based on these differences. Adenoma and malignant tumors differed in contour irregularity. Probability of vascular invasion was dependent on CT grading scale, and a large equivocal zone existed between 3 and 6 scores, lowering CT accuracy to detect vascular invasion. Radiologists' agreement for detecting abnormalities (evaluated by chance-corrected weighted kappa statistics) was excellent for CVC and good to moderate for other vessels. The quality of postcontrast CT study had a negative impact on radiologists' performance and agreement. CONCLUSIONS AND CLINICAL IMPORTANCE Features of CT may help radiologists predict AT type and provide probabilistic information on vascular invasion.
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Affiliation(s)
- Pascaline Pey
- Department of Veterinary Medical ScienceAlma Mater Studiorum, University of BolognaOzzano Emilia (BO)Italy,Antech Imaging Services, IrvineCAUSA
| | - Swan Specchi
- Ospedale Veterinario i Portoni RossiBologna (BO)Italy
| | - Federica Rossi
- Clinica Veterinaria dell'OrologioSasso Marconi (BO)Italy
| | - Alessia Diana
- Department of Veterinary Medical ScienceAlma Mater Studiorum, University of BolognaOzzano Emilia (BO)Italy
| | - Ignazio Drudi
- Department of Statistical SciencesAlma Mater Studiorum, University of BolognaBologna (BO)Italy
| | - Allison L. Zwingenberger
- Department of Surgical & Radiological SciencesSchool of Veterinary Medicine, University of CaliforniaDavisCaliforniaUSA
| | - Philipp D. Mayhew
- Department of Surgical & Radiological SciencesSchool of Veterinary Medicine, University of CaliforniaDavisCaliforniaUSA
| | - Luciano Pisoni
- Department of Veterinary Medical ScienceAlma Mater Studiorum, University of BolognaOzzano Emilia (BO)Italy
| | | | | | - Boris Dalpozzo
- Clinica Veterinaria dell'OrologioSasso Marconi (BO)Italy
| | - Federico Fracassi
- Department of Veterinary Medical ScienceAlma Mater Studiorum, University of BolognaOzzano Emilia (BO)Italy
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21
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Liang HW, Zhou Y, Zhang ZW, Yan GW, Du SL, Zhang XH, Li XY, Lv FJ, Zheng Q, Li YM. Dual-energy CT with virtual monoenergetic images to improve the visualization of pancreatic supplying arteries: the normal anatomy and variations. Insights Imaging 2022; 13:21. [PMID: 35122162 PMCID: PMC8816990 DOI: 10.1186/s13244-022-01157-z] [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] [Subscribe] [Scholar Register] [Received: 10/13/2021] [Accepted: 01/07/2022] [Indexed: 12/31/2022] Open
Abstract
Background Pancreatic ductal adenocarcinoma (PDAC) remains a malignancy with poor prognosis, appropriate surgical resection and neoadjuvant therapy depend on the accurate identification of pancreatic supplying arteries. We aim to evaluate the ability of monoenergetic images (MEI [+]) of dual-energy CT (DECT) to improve the visualization of pancreatic supplying arteries compared to conventional polyenergetic images (PEI) and investigate the implications of vascular variation in pancreatic surgery and transarterial interventions. Results One hundred patients without pancreatic diseases underwent DECT examinations were retrospectively enrolled in this study. The signal-to-noise ratio (SNR) and contrast-to-noise ratio (CNR) at 40-keV MEI (+) were significantly higher than those of PEI (p < 0.05). All subjective MEI (+) scores were significantly higher than those of PEI (p < 0.05). The visualization rates were significantly higher for posterior superior pancreaticoduodenal artery (PSPDA), anterior and posterior inferior pancreaticoduodenal artery (AIPDA, PIPDA), anterior and posterior pancreaticoduodenal arcade (APAC, PPAC), transverse and caudal pancreatic artery (TPA, PCA) at 40-keV MEI (+) than those of PEI (p < 0.05). However, there were no significant differences for visualizing anterior superior pancreaticoduodenal artery (ASPDA), inferior pancreaticoduodenal artery (IPDA), dorsal and magnificent pancreatic artery (DPA, MPA) between 40-keV MEI (+) and PEI (p > 0.05). Four types of variations were observed in the origin of DPA and three to five types in the origin of PSPDA, AIPDA and PIPDA. Conclusions 40-keV MEI (+) of DECT improves the visualization and objective and subjective image quality of pancreatic supplying arteries compared to PEI. Pancreatic supplying arteries have great variations, which has important implications for preoperative planning of technically challenging surgeries and transarterial interventions.
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Affiliation(s)
- Hong-Wei Liang
- Department of Radiology, The First Affiliated Hospital of Chongqing Medical University, No. 1 Youyi Road, Yuzhong District, Chongqing, 400016, China
| | - Yang Zhou
- Department of Radiology, The First Affiliated Hospital of Chongqing Medical University, No. 1 Youyi Road, Yuzhong District, Chongqing, 400016, China
| | - Zhi-Wei Zhang
- Department of Radiology, The First Affiliated Hospital of Chongqing Medical University, No. 1 Youyi Road, Yuzhong District, Chongqing, 400016, China
| | - Gao-Wu Yan
- Department of Radiology, Suining Central Hospital, Suining, 629000, China
| | - Si-Lin Du
- Department of Radiology, The First Affiliated Hospital of Chongqing Medical University, No. 1 Youyi Road, Yuzhong District, Chongqing, 400016, China
| | - Xiao-Hui Zhang
- Department of Radiology, The First Affiliated Hospital of Chongqing Medical University, No. 1 Youyi Road, Yuzhong District, Chongqing, 400016, China
| | - Xin-You Li
- Department of Radiology, The First Affiliated Hospital of Chongqing Medical University, No. 1 Youyi Road, Yuzhong District, Chongqing, 400016, China
| | - Fa-Jin Lv
- Department of Radiology, The First Affiliated Hospital of Chongqing Medical University, No. 1 Youyi Road, Yuzhong District, Chongqing, 400016, China
| | - Qiao Zheng
- Department of Radiology, The First Affiliated Hospital of Chongqing Medical University, No. 1 Youyi Road, Yuzhong District, Chongqing, 400016, China.
| | - Yong-Mei Li
- Department of Radiology, The First Affiliated Hospital of Chongqing Medical University, No. 1 Youyi Road, Yuzhong District, Chongqing, 400016, China.
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22
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Malik RF, Hasanain A, Lafaro KJ, He J, Narang AK, Fishman EK, Zaheer A. Structured CT reporting of pancreatic ductal adenocarcinoma: impact on completeness of information and interdisciplinary communication for surgical planning. Abdom Radiol (NY) 2022; 47:704-714. [PMID: 34800162 DOI: 10.1007/s00261-021-03353-9] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/22/2021] [Revised: 11/12/2021] [Accepted: 11/15/2021] [Indexed: 10/19/2022]
Abstract
PURPOSE With the rise in popularity of structured reports in radiology, we sought to evaluate whether free-text CT reports on pancreatic ductal adenocarcinoma (PDAC) staging at our institute met published guidelines and assess feedback of pancreatic surgeons comparing free-text and structured report styles with the same information content. METHODS We retrospectively evaluated 298 free-text preoperative CT reports from 2015 to 2017 for the inclusion of key tumor descriptors. Two surgeons independently evaluated 50 free-text reports followed by evaluation of the same reports in a structured format using a 7-question survey to assess the usefulness and ease of information extraction. Fisher's exact test and Chi-square test for independence were utilized for categorical responses and an independent samples t test for comparing mean ratings of report quality as rated on a 5-point Likert scale. RESULTS The most commonly included descriptors in free-text reports were tumor location (99%), liver lesions (97%), and suspicious lymph nodes (97%). The most commonly excluded descriptors were variant arterial anatomy and peritoneal/omental nodularity, which were present in only 23% and 42% of the reports, respectively. For vascular involvement, a mention of the presence or absence of perivascular disease with the main portal vein was most commonly included (87%). Both surgeons' rating of overall report quality was significantly higher for structured reports (p < 0.001). CONCLUSION Our results indicate that free-text reports may not include key descriptors for staging PDAC. Surgeons rated structured reports that presented the same information as free-text reports but in a template format superior for guiding clinical management, convenience of use, and overall report quality.
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23
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Do RKG, Kambadakone A. Radiomics for CT Assessment of Vascular Contact in Pancreatic Adenocarcinoma. Radiology 2021; 301:623-624. [PMID: 34491133 PMCID: PMC8630530 DOI: 10.1148/radiol.2021211635] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/28/2021] [Revised: 07/15/2021] [Accepted: 07/16/2021] [Indexed: 11/11/2022]
Affiliation(s)
- Richard K. G. Do
- From the Department of Radiology, Memorial Sloan-Kettering Cancer
Center, 1275 York Ave, H-710, New York, NY 10065 (R.K.G.D.); and Division of
Abdominal Imaging and Intervention, Massachusetts General Hospital, Boston, Mass
(A.K.)
| | - Avinash Kambadakone
- From the Department of Radiology, Memorial Sloan-Kettering Cancer
Center, 1275 York Ave, H-710, New York, NY 10065 (R.K.G.D.); and Division of
Abdominal Imaging and Intervention, Massachusetts General Hospital, Boston, Mass
(A.K.)
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Rigiroli F, Hoye J, Lerebours R, Lafata KJ, Li C, Meyer M, Lyu P, Ding Y, Schwartz FR, Mettu NB, Zani S, Luo S, Morgan DE, Samei E, Marin D. CT Radiomic Features of Superior Mesenteric Artery Involvement in Pancreatic Ductal Adenocarcinoma: A Pilot Study. Radiology 2021; 301:610-622. [PMID: 34491129 PMCID: PMC9899097 DOI: 10.1148/radiol.2021210699] [Citation(s) in RCA: 31] [Impact Index Per Article: 7.8] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/06/2023]
Abstract
Background Current imaging methods for prediction of complete margin resection (R0) in patients with pancreatic ductal adenocarcinoma (PDAC) are not reliable. Purpose To investigate whether tumor-related and perivascular CT radiomic features improve preoperative assessment of arterial involvement in patients with surgically proven PDAC. Materials and Methods This retrospective study included consecutive patients with PDAC who underwent surgery after preoperative CT between 2012 and 2019. A three-dimensional segmentation of PDAC and perivascular tissue surrounding the superior mesenteric artery (SMA) was performed on preoperative CT images with radiomic features extracted to characterize morphology, intensity, texture, and task-based spatial information. The reference standard was the pathologic SMA margin status of the surgical sample: SMA involved (tumor cells ≤1 mm from margin) versus SMA not involved (tumor cells >1 mm from margin). The preoperative assessment of SMA involvement by a fellowship-trained radiologist in multidisciplinary consensus was the comparison. High reproducibility (intraclass correlation coefficient, 0.7) and the Kolmogorov-Smirnov test were used to select features included in the logistic regression model. Results A total of 194 patients (median age, 66 years; interquartile range, 60-71 years; age range, 36-85 years; 99 men) were evaluated. Aside from surgery, 148 patients underwent neoadjuvant therapy. A total of 141 patients' samples did not involve SMA, whereas 53 involved SMA. A total of 1695 CT radiomic features were extracted. The model with five features (maximum hugging angle, maximum diameter, logarithm robust mean absolute deviation, minimum distance, square gray level co-occurrence matrix correlation) showed a better performance compared with the radiologist assessment (model vs radiologist area under the curve, 0.71 [95% CI: 0.62, 0.79] vs 0.54 [95% CI: 0.50, 0.59]; P < .001). The model showed a sensitivity of 62% (33 of 53 patients) (95% CI: 51, 77) and a specificity of 77% (108 of 141 patients) (95% CI: 60, 84). Conclusion A model based on tumor-related and perivascular CT radiomic features improved the detection of superior mesenteric artery involvement in patients with pancreatic ductal adenocarcinoma. © RSNA, 2021 Online supplemental material is available for this article. See also the editorial by Do and Kambadakone in this issue.
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Affiliation(s)
- Francesca Rigiroli
- From the Departments of Radiology (F.R., K.J.L., M.M., P.L., Y.D., F.R.S., E.S., D.M.) and Radiation Oncology (K.J.L.), Duke University Medical Center, 2301 Erwin Rd, Box 3808, Durham, NC 27710; Multi-Dimensional Image Processing Laboratory, Duke Radiology, Duke University School of Medicine, Durham, NC (F.R., M.M., P.L., Y.D., F.R.S., D.M.); progettoDiventerò, Bracco Foundation, Milan, Italy (F.R.); Carl E. Ravin Advanced Imaging Laboratories (J.H., E.S.), Department of Biostatistics and Bioinformatics (R.L., S.L.), and Duke Electrical and Computer Engineering (K.J.L.), Duke University, Durham, NC; Department of Biostatistics, Yale University, New Haven, Conn (C.L.); Department of Diagnostic and Interventional Radiology and Nuclear Medicine, University Hospital Hamburg-Eppendorf, Hamburg, Germany (M.M.); Department of Radiology, the First Affiliated Hospital of Zhengzhou University, Zhengzhou, Henan Province, People's Republic of China (P.L.); Department of Radiology, Zhongshan Hospital, Fudan University, Shanghai, People's Republic of China (Y.D.); Duke Cancer Center, Duke Health, Durham, NC (N.B.M., S.Z.); and Department of Radiology, University of Alabama at Birmingham, Birmingham, Ala (D.E.M.)
| | - Jocelyn Hoye
- From the Departments of Radiology (F.R., K.J.L., M.M., P.L., Y.D., F.R.S., E.S., D.M.) and Radiation Oncology (K.J.L.), Duke University Medical Center, 2301 Erwin Rd, Box 3808, Durham, NC 27710; Multi-Dimensional Image Processing Laboratory, Duke Radiology, Duke University School of Medicine, Durham, NC (F.R., M.M., P.L., Y.D., F.R.S., D.M.); progettoDiventerò, Bracco Foundation, Milan, Italy (F.R.); Carl E. Ravin Advanced Imaging Laboratories (J.H., E.S.), Department of Biostatistics and Bioinformatics (R.L., S.L.), and Duke Electrical and Computer Engineering (K.J.L.), Duke University, Durham, NC; Department of Biostatistics, Yale University, New Haven, Conn (C.L.); Department of Diagnostic and Interventional Radiology and Nuclear Medicine, University Hospital Hamburg-Eppendorf, Hamburg, Germany (M.M.); Department of Radiology, the First Affiliated Hospital of Zhengzhou University, Zhengzhou, Henan Province, People's Republic of China (P.L.); Department of Radiology, Zhongshan Hospital, Fudan University, Shanghai, People's Republic of China (Y.D.); Duke Cancer Center, Duke Health, Durham, NC (N.B.M., S.Z.); and Department of Radiology, University of Alabama at Birmingham, Birmingham, Ala (D.E.M.)
| | - Reginald Lerebours
- From the Departments of Radiology (F.R., K.J.L., M.M., P.L., Y.D., F.R.S., E.S., D.M.) and Radiation Oncology (K.J.L.), Duke University Medical Center, 2301 Erwin Rd, Box 3808, Durham, NC 27710; Multi-Dimensional Image Processing Laboratory, Duke Radiology, Duke University School of Medicine, Durham, NC (F.R., M.M., P.L., Y.D., F.R.S., D.M.); progettoDiventerò, Bracco Foundation, Milan, Italy (F.R.); Carl E. Ravin Advanced Imaging Laboratories (J.H., E.S.), Department of Biostatistics and Bioinformatics (R.L., S.L.), and Duke Electrical and Computer Engineering (K.J.L.), Duke University, Durham, NC; Department of Biostatistics, Yale University, New Haven, Conn (C.L.); Department of Diagnostic and Interventional Radiology and Nuclear Medicine, University Hospital Hamburg-Eppendorf, Hamburg, Germany (M.M.); Department of Radiology, the First Affiliated Hospital of Zhengzhou University, Zhengzhou, Henan Province, People's Republic of China (P.L.); Department of Radiology, Zhongshan Hospital, Fudan University, Shanghai, People's Republic of China (Y.D.); Duke Cancer Center, Duke Health, Durham, NC (N.B.M., S.Z.); and Department of Radiology, University of Alabama at Birmingham, Birmingham, Ala (D.E.M.)
| | - Kyle J Lafata
- From the Departments of Radiology (F.R., K.J.L., M.M., P.L., Y.D., F.R.S., E.S., D.M.) and Radiation Oncology (K.J.L.), Duke University Medical Center, 2301 Erwin Rd, Box 3808, Durham, NC 27710; Multi-Dimensional Image Processing Laboratory, Duke Radiology, Duke University School of Medicine, Durham, NC (F.R., M.M., P.L., Y.D., F.R.S., D.M.); progettoDiventerò, Bracco Foundation, Milan, Italy (F.R.); Carl E. Ravin Advanced Imaging Laboratories (J.H., E.S.), Department of Biostatistics and Bioinformatics (R.L., S.L.), and Duke Electrical and Computer Engineering (K.J.L.), Duke University, Durham, NC; Department of Biostatistics, Yale University, New Haven, Conn (C.L.); Department of Diagnostic and Interventional Radiology and Nuclear Medicine, University Hospital Hamburg-Eppendorf, Hamburg, Germany (M.M.); Department of Radiology, the First Affiliated Hospital of Zhengzhou University, Zhengzhou, Henan Province, People's Republic of China (P.L.); Department of Radiology, Zhongshan Hospital, Fudan University, Shanghai, People's Republic of China (Y.D.); Duke Cancer Center, Duke Health, Durham, NC (N.B.M., S.Z.); and Department of Radiology, University of Alabama at Birmingham, Birmingham, Ala (D.E.M.)
| | - Cai Li
- From the Departments of Radiology (F.R., K.J.L., M.M., P.L., Y.D., F.R.S., E.S., D.M.) and Radiation Oncology (K.J.L.), Duke University Medical Center, 2301 Erwin Rd, Box 3808, Durham, NC 27710; Multi-Dimensional Image Processing Laboratory, Duke Radiology, Duke University School of Medicine, Durham, NC (F.R., M.M., P.L., Y.D., F.R.S., D.M.); progettoDiventerò, Bracco Foundation, Milan, Italy (F.R.); Carl E. Ravin Advanced Imaging Laboratories (J.H., E.S.), Department of Biostatistics and Bioinformatics (R.L., S.L.), and Duke Electrical and Computer Engineering (K.J.L.), Duke University, Durham, NC; Department of Biostatistics, Yale University, New Haven, Conn (C.L.); Department of Diagnostic and Interventional Radiology and Nuclear Medicine, University Hospital Hamburg-Eppendorf, Hamburg, Germany (M.M.); Department of Radiology, the First Affiliated Hospital of Zhengzhou University, Zhengzhou, Henan Province, People's Republic of China (P.L.); Department of Radiology, Zhongshan Hospital, Fudan University, Shanghai, People's Republic of China (Y.D.); Duke Cancer Center, Duke Health, Durham, NC (N.B.M., S.Z.); and Department of Radiology, University of Alabama at Birmingham, Birmingham, Ala (D.E.M.)
| | - Mathias Meyer
- From the Departments of Radiology (F.R., K.J.L., M.M., P.L., Y.D., F.R.S., E.S., D.M.) and Radiation Oncology (K.J.L.), Duke University Medical Center, 2301 Erwin Rd, Box 3808, Durham, NC 27710; Multi-Dimensional Image Processing Laboratory, Duke Radiology, Duke University School of Medicine, Durham, NC (F.R., M.M., P.L., Y.D., F.R.S., D.M.); progettoDiventerò, Bracco Foundation, Milan, Italy (F.R.); Carl E. Ravin Advanced Imaging Laboratories (J.H., E.S.), Department of Biostatistics and Bioinformatics (R.L., S.L.), and Duke Electrical and Computer Engineering (K.J.L.), Duke University, Durham, NC; Department of Biostatistics, Yale University, New Haven, Conn (C.L.); Department of Diagnostic and Interventional Radiology and Nuclear Medicine, University Hospital Hamburg-Eppendorf, Hamburg, Germany (M.M.); Department of Radiology, the First Affiliated Hospital of Zhengzhou University, Zhengzhou, Henan Province, People's Republic of China (P.L.); Department of Radiology, Zhongshan Hospital, Fudan University, Shanghai, People's Republic of China (Y.D.); Duke Cancer Center, Duke Health, Durham, NC (N.B.M., S.Z.); and Department of Radiology, University of Alabama at Birmingham, Birmingham, Ala (D.E.M.)
| | - Peijie Lyu
- From the Departments of Radiology (F.R., K.J.L., M.M., P.L., Y.D., F.R.S., E.S., D.M.) and Radiation Oncology (K.J.L.), Duke University Medical Center, 2301 Erwin Rd, Box 3808, Durham, NC 27710; Multi-Dimensional Image Processing Laboratory, Duke Radiology, Duke University School of Medicine, Durham, NC (F.R., M.M., P.L., Y.D., F.R.S., D.M.); progettoDiventerò, Bracco Foundation, Milan, Italy (F.R.); Carl E. Ravin Advanced Imaging Laboratories (J.H., E.S.), Department of Biostatistics and Bioinformatics (R.L., S.L.), and Duke Electrical and Computer Engineering (K.J.L.), Duke University, Durham, NC; Department of Biostatistics, Yale University, New Haven, Conn (C.L.); Department of Diagnostic and Interventional Radiology and Nuclear Medicine, University Hospital Hamburg-Eppendorf, Hamburg, Germany (M.M.); Department of Radiology, the First Affiliated Hospital of Zhengzhou University, Zhengzhou, Henan Province, People's Republic of China (P.L.); Department of Radiology, Zhongshan Hospital, Fudan University, Shanghai, People's Republic of China (Y.D.); Duke Cancer Center, Duke Health, Durham, NC (N.B.M., S.Z.); and Department of Radiology, University of Alabama at Birmingham, Birmingham, Ala (D.E.M.)
| | - Yuqin Ding
- From the Departments of Radiology (F.R., K.J.L., M.M., P.L., Y.D., F.R.S., E.S., D.M.) and Radiation Oncology (K.J.L.), Duke University Medical Center, 2301 Erwin Rd, Box 3808, Durham, NC 27710; Multi-Dimensional Image Processing Laboratory, Duke Radiology, Duke University School of Medicine, Durham, NC (F.R., M.M., P.L., Y.D., F.R.S., D.M.); progettoDiventerò, Bracco Foundation, Milan, Italy (F.R.); Carl E. Ravin Advanced Imaging Laboratories (J.H., E.S.), Department of Biostatistics and Bioinformatics (R.L., S.L.), and Duke Electrical and Computer Engineering (K.J.L.), Duke University, Durham, NC; Department of Biostatistics, Yale University, New Haven, Conn (C.L.); Department of Diagnostic and Interventional Radiology and Nuclear Medicine, University Hospital Hamburg-Eppendorf, Hamburg, Germany (M.M.); Department of Radiology, the First Affiliated Hospital of Zhengzhou University, Zhengzhou, Henan Province, People's Republic of China (P.L.); Department of Radiology, Zhongshan Hospital, Fudan University, Shanghai, People's Republic of China (Y.D.); Duke Cancer Center, Duke Health, Durham, NC (N.B.M., S.Z.); and Department of Radiology, University of Alabama at Birmingham, Birmingham, Ala (D.E.M.)
| | - Fides R Schwartz
- From the Departments of Radiology (F.R., K.J.L., M.M., P.L., Y.D., F.R.S., E.S., D.M.) and Radiation Oncology (K.J.L.), Duke University Medical Center, 2301 Erwin Rd, Box 3808, Durham, NC 27710; Multi-Dimensional Image Processing Laboratory, Duke Radiology, Duke University School of Medicine, Durham, NC (F.R., M.M., P.L., Y.D., F.R.S., D.M.); progettoDiventerò, Bracco Foundation, Milan, Italy (F.R.); Carl E. Ravin Advanced Imaging Laboratories (J.H., E.S.), Department of Biostatistics and Bioinformatics (R.L., S.L.), and Duke Electrical and Computer Engineering (K.J.L.), Duke University, Durham, NC; Department of Biostatistics, Yale University, New Haven, Conn (C.L.); Department of Diagnostic and Interventional Radiology and Nuclear Medicine, University Hospital Hamburg-Eppendorf, Hamburg, Germany (M.M.); Department of Radiology, the First Affiliated Hospital of Zhengzhou University, Zhengzhou, Henan Province, People's Republic of China (P.L.); Department of Radiology, Zhongshan Hospital, Fudan University, Shanghai, People's Republic of China (Y.D.); Duke Cancer Center, Duke Health, Durham, NC (N.B.M., S.Z.); and Department of Radiology, University of Alabama at Birmingham, Birmingham, Ala (D.E.M.)
| | - Niharika B Mettu
- From the Departments of Radiology (F.R., K.J.L., M.M., P.L., Y.D., F.R.S., E.S., D.M.) and Radiation Oncology (K.J.L.), Duke University Medical Center, 2301 Erwin Rd, Box 3808, Durham, NC 27710; Multi-Dimensional Image Processing Laboratory, Duke Radiology, Duke University School of Medicine, Durham, NC (F.R., M.M., P.L., Y.D., F.R.S., D.M.); progettoDiventerò, Bracco Foundation, Milan, Italy (F.R.); Carl E. Ravin Advanced Imaging Laboratories (J.H., E.S.), Department of Biostatistics and Bioinformatics (R.L., S.L.), and Duke Electrical and Computer Engineering (K.J.L.), Duke University, Durham, NC; Department of Biostatistics, Yale University, New Haven, Conn (C.L.); Department of Diagnostic and Interventional Radiology and Nuclear Medicine, University Hospital Hamburg-Eppendorf, Hamburg, Germany (M.M.); Department of Radiology, the First Affiliated Hospital of Zhengzhou University, Zhengzhou, Henan Province, People's Republic of China (P.L.); Department of Radiology, Zhongshan Hospital, Fudan University, Shanghai, People's Republic of China (Y.D.); Duke Cancer Center, Duke Health, Durham, NC (N.B.M., S.Z.); and Department of Radiology, University of Alabama at Birmingham, Birmingham, Ala (D.E.M.)
| | - Sabino Zani
- From the Departments of Radiology (F.R., K.J.L., M.M., P.L., Y.D., F.R.S., E.S., D.M.) and Radiation Oncology (K.J.L.), Duke University Medical Center, 2301 Erwin Rd, Box 3808, Durham, NC 27710; Multi-Dimensional Image Processing Laboratory, Duke Radiology, Duke University School of Medicine, Durham, NC (F.R., M.M., P.L., Y.D., F.R.S., D.M.); progettoDiventerò, Bracco Foundation, Milan, Italy (F.R.); Carl E. Ravin Advanced Imaging Laboratories (J.H., E.S.), Department of Biostatistics and Bioinformatics (R.L., S.L.), and Duke Electrical and Computer Engineering (K.J.L.), Duke University, Durham, NC; Department of Biostatistics, Yale University, New Haven, Conn (C.L.); Department of Diagnostic and Interventional Radiology and Nuclear Medicine, University Hospital Hamburg-Eppendorf, Hamburg, Germany (M.M.); Department of Radiology, the First Affiliated Hospital of Zhengzhou University, Zhengzhou, Henan Province, People's Republic of China (P.L.); Department of Radiology, Zhongshan Hospital, Fudan University, Shanghai, People's Republic of China (Y.D.); Duke Cancer Center, Duke Health, Durham, NC (N.B.M., S.Z.); and Department of Radiology, University of Alabama at Birmingham, Birmingham, Ala (D.E.M.)
| | - Sheng Luo
- From the Departments of Radiology (F.R., K.J.L., M.M., P.L., Y.D., F.R.S., E.S., D.M.) and Radiation Oncology (K.J.L.), Duke University Medical Center, 2301 Erwin Rd, Box 3808, Durham, NC 27710; Multi-Dimensional Image Processing Laboratory, Duke Radiology, Duke University School of Medicine, Durham, NC (F.R., M.M., P.L., Y.D., F.R.S., D.M.); progettoDiventerò, Bracco Foundation, Milan, Italy (F.R.); Carl E. Ravin Advanced Imaging Laboratories (J.H., E.S.), Department of Biostatistics and Bioinformatics (R.L., S.L.), and Duke Electrical and Computer Engineering (K.J.L.), Duke University, Durham, NC; Department of Biostatistics, Yale University, New Haven, Conn (C.L.); Department of Diagnostic and Interventional Radiology and Nuclear Medicine, University Hospital Hamburg-Eppendorf, Hamburg, Germany (M.M.); Department of Radiology, the First Affiliated Hospital of Zhengzhou University, Zhengzhou, Henan Province, People's Republic of China (P.L.); Department of Radiology, Zhongshan Hospital, Fudan University, Shanghai, People's Republic of China (Y.D.); Duke Cancer Center, Duke Health, Durham, NC (N.B.M., S.Z.); and Department of Radiology, University of Alabama at Birmingham, Birmingham, Ala (D.E.M.)
| | - Desiree E Morgan
- From the Departments of Radiology (F.R., K.J.L., M.M., P.L., Y.D., F.R.S., E.S., D.M.) and Radiation Oncology (K.J.L.), Duke University Medical Center, 2301 Erwin Rd, Box 3808, Durham, NC 27710; Multi-Dimensional Image Processing Laboratory, Duke Radiology, Duke University School of Medicine, Durham, NC (F.R., M.M., P.L., Y.D., F.R.S., D.M.); progettoDiventerò, Bracco Foundation, Milan, Italy (F.R.); Carl E. Ravin Advanced Imaging Laboratories (J.H., E.S.), Department of Biostatistics and Bioinformatics (R.L., S.L.), and Duke Electrical and Computer Engineering (K.J.L.), Duke University, Durham, NC; Department of Biostatistics, Yale University, New Haven, Conn (C.L.); Department of Diagnostic and Interventional Radiology and Nuclear Medicine, University Hospital Hamburg-Eppendorf, Hamburg, Germany (M.M.); Department of Radiology, the First Affiliated Hospital of Zhengzhou University, Zhengzhou, Henan Province, People's Republic of China (P.L.); Department of Radiology, Zhongshan Hospital, Fudan University, Shanghai, People's Republic of China (Y.D.); Duke Cancer Center, Duke Health, Durham, NC (N.B.M., S.Z.); and Department of Radiology, University of Alabama at Birmingham, Birmingham, Ala (D.E.M.)
| | - Ehsan Samei
- From the Departments of Radiology (F.R., K.J.L., M.M., P.L., Y.D., F.R.S., E.S., D.M.) and Radiation Oncology (K.J.L.), Duke University Medical Center, 2301 Erwin Rd, Box 3808, Durham, NC 27710; Multi-Dimensional Image Processing Laboratory, Duke Radiology, Duke University School of Medicine, Durham, NC (F.R., M.M., P.L., Y.D., F.R.S., D.M.); progettoDiventerò, Bracco Foundation, Milan, Italy (F.R.); Carl E. Ravin Advanced Imaging Laboratories (J.H., E.S.), Department of Biostatistics and Bioinformatics (R.L., S.L.), and Duke Electrical and Computer Engineering (K.J.L.), Duke University, Durham, NC; Department of Biostatistics, Yale University, New Haven, Conn (C.L.); Department of Diagnostic and Interventional Radiology and Nuclear Medicine, University Hospital Hamburg-Eppendorf, Hamburg, Germany (M.M.); Department of Radiology, the First Affiliated Hospital of Zhengzhou University, Zhengzhou, Henan Province, People's Republic of China (P.L.); Department of Radiology, Zhongshan Hospital, Fudan University, Shanghai, People's Republic of China (Y.D.); Duke Cancer Center, Duke Health, Durham, NC (N.B.M., S.Z.); and Department of Radiology, University of Alabama at Birmingham, Birmingham, Ala (D.E.M.)
| | - Daniele Marin
- From the Departments of Radiology (F.R., K.J.L., M.M., P.L., Y.D., F.R.S., E.S., D.M.) and Radiation Oncology (K.J.L.), Duke University Medical Center, 2301 Erwin Rd, Box 3808, Durham, NC 27710; Multi-Dimensional Image Processing Laboratory, Duke Radiology, Duke University School of Medicine, Durham, NC (F.R., M.M., P.L., Y.D., F.R.S., D.M.); progettoDiventerò, Bracco Foundation, Milan, Italy (F.R.); Carl E. Ravin Advanced Imaging Laboratories (J.H., E.S.), Department of Biostatistics and Bioinformatics (R.L., S.L.), and Duke Electrical and Computer Engineering (K.J.L.), Duke University, Durham, NC; Department of Biostatistics, Yale University, New Haven, Conn (C.L.); Department of Diagnostic and Interventional Radiology and Nuclear Medicine, University Hospital Hamburg-Eppendorf, Hamburg, Germany (M.M.); Department of Radiology, the First Affiliated Hospital of Zhengzhou University, Zhengzhou, Henan Province, People's Republic of China (P.L.); Department of Radiology, Zhongshan Hospital, Fudan University, Shanghai, People's Republic of China (Y.D.); Duke Cancer Center, Duke Health, Durham, NC (N.B.M., S.Z.); and Department of Radiology, University of Alabama at Birmingham, Birmingham, Ala (D.E.M.)
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Pekarek L, Fraile-Martinez O, Garcia-Montero C, Alvarez-Mon MA, Acero J, Ruiz-Llorente L, García-Honduvilla N, Albillos A, Buján J, Alvarez-Mon M, Guijarro LG, Ortega MA. Towards an updated view on the clinical management of pancreatic adenocarcinoma: Current and future perspectives. Oncol Lett 2021; 22:809. [PMID: 34630716 PMCID: PMC8490971 DOI: 10.3892/ol.2021.13070] [Citation(s) in RCA: 11] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/14/2021] [Accepted: 09/03/2021] [Indexed: 12/13/2022] Open
Abstract
Pancreatic cancer has a dire prognosis and will represent the second leading cause of cancer death in the next 10 years. The multifactorial approach represents one of the main issues in controlling the extension of this neoplasm. In recent years, the characteristics of the tumor microenvironment, metastasis mechanisms and the relationship between immune system and neoplastic cells have been described, which has made it possible to understand the pathophysiology of pancreatic adenocarcinoma. Currently, there is a failure to provide an effective preventive method or early detection, so patients present with an advanced stage at the time of diagnosis. Despite numerous efforts, little progress has been made in clinical outcome and in improving survival in long term. Therefore, in the recent years, diverse diagnostic tests, treatments and possible approaches have been developed in the fields of radiotherapy, chemotherapy and surgery to find a combination of them that improves life expectancy in patients diagnosed with pancreatic cancer. At the moment, numerous clinical trials are being conducted to evaluate preventive diagnostic procedures such as serological markers or perfecting available imaging tests. On the other hand, implementation of immunotherapy is being studied in a neoplasm that has lagged in the application of this procedure since present possible treatments do not substantially improve quality of life. Therefore, the purpose of our study is to summarize the main progresses that have been made in the diagnosis, treatment and screening of this disease, explaining the limitations that have been observed and analyzing future prospects in the management of this illness.
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Affiliation(s)
- Leonel Pekarek
- Department of Medicine and Medical Specialities, Faculty of Medicine and Health Sciences, University of Alcalá, Alcala de Henares, 28871 Madrid, Spain
- Ramón y Cajal Institute of Sanitary Research, 28034 Madrid, Spain
- Oncology Service, Guadalajara University Hospital, 19002 Guadalajara, Spain
| | - Oscar Fraile-Martinez
- Department of Medicine and Medical Specialities, Faculty of Medicine and Health Sciences, University of Alcalá, Alcala de Henares, 28871 Madrid, Spain
- Ramón y Cajal Institute of Sanitary Research, 28034 Madrid, Spain
| | - Cielo Garcia-Montero
- Department of Medicine and Medical Specialities, Faculty of Medicine and Health Sciences, University of Alcalá, Alcala de Henares, 28871 Madrid, Spain
- Ramón y Cajal Institute of Sanitary Research, 28034 Madrid, Spain
| | - Miguel A. Alvarez-Mon
- Department of Medicine and Medical Specialities, Faculty of Medicine and Health Sciences, University of Alcalá, Alcala de Henares, 28871 Madrid, Spain
- Ramón y Cajal Institute of Sanitary Research, 28034 Madrid, Spain
| | - Julio Acero
- Ramón y Cajal Institute of Sanitary Research, 28034 Madrid, Spain
- Department of Surgery, Medical and Social Sciences, Faculty of Medicine and Health Sciences, University of Alcalá, Alcala de Henares, 28871 Madrid, Spain
| | - Lidia Ruiz-Llorente
- Ramón y Cajal Institute of Sanitary Research, 28034 Madrid, Spain
- Unit of Biochemistry and Molecular Biology, Department of System Biology, University of Alcalá, Alcala de Henares, 28871 Madrid, Spain
| | - Natalio García-Honduvilla
- Department of Medicine and Medical Specialities, Faculty of Medicine and Health Sciences, University of Alcalá, Alcala de Henares, 28871 Madrid, Spain
- Ramón y Cajal Institute of Sanitary Research, 28034 Madrid, Spain
| | - Agustin Albillos
- Department of Medicine and Medical Specialities, Faculty of Medicine and Health Sciences, University of Alcalá, Alcala de Henares, 28871 Madrid, Spain
- Ramón y Cajal Institute of Sanitary Research, 28034 Madrid, Spain
- Department of Gastroenterology and Hepatology, Ramón y Cajal University Hospital, University of Alcalá, Ramón y Cajal Institute for Health Research, 28034 Madrid, Spain
- Biomedical Research Networking Center of Hepatic and Digestive Diseases, Institute of Health Carlos III, 28034 Madrid, Spain
| | - Julia Buján
- Department of Medicine and Medical Specialities, Faculty of Medicine and Health Sciences, University of Alcalá, Alcala de Henares, 28871 Madrid, Spain
- Ramón y Cajal Institute of Sanitary Research, 28034 Madrid, Spain
| | - Melchor Alvarez-Mon
- Department of Medicine and Medical Specialities, Faculty of Medicine and Health Sciences, University of Alcalá, Alcala de Henares, 28871 Madrid, Spain
- Ramón y Cajal Institute of Sanitary Research, 28034 Madrid, Spain
- Biomedical Research Networking Center of Hepatic and Digestive Diseases, Institute of Health Carlos III, 28034 Madrid, Spain
- Immune System Diseases-Rheumatology, Oncology Service and Internal Medicine, Prince of Asturias University Hospital, Alcala de Henares, 28806 Madrid, Spain
| | - Luis G. Guijarro
- Ramón y Cajal Institute of Sanitary Research, 28034 Madrid, Spain
- Unit of Biochemistry and Molecular Biology, Department of System Biology, University of Alcalá, Alcala de Henares, 28871 Madrid, Spain
- Immune System Diseases-Rheumatology, Oncology Service and Internal Medicine, Prince of Asturias University Hospital, Alcala de Henares, 28806 Madrid, Spain
| | - Miguel A. Ortega
- Department of Medicine and Medical Specialities, Faculty of Medicine and Health Sciences, University of Alcalá, Alcala de Henares, 28871 Madrid, Spain
- Ramón y Cajal Institute of Sanitary Research, 28034 Madrid, Spain
- Cancer Registry and Pathology Department, Prince of Asturias University Hospital, Alcala de Henares, 28806 Madrid, Spain
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Pre-Operative MDCT Staging Predicts Mesopancreatic Fat Infiltration-A Novel Marker for Neoadjuvant Treatment? Cancers (Basel) 2021; 13:cancers13174361. [PMID: 34503170 PMCID: PMC8430607 DOI: 10.3390/cancers13174361] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/12/2021] [Accepted: 08/23/2021] [Indexed: 01/05/2023] Open
Abstract
The rates of microscopic incomplete resections (R1/R0CRM+) in patients receiving standard pancreaticoduodenectomy for PDAC remain very high. One reason may be the reported high rates of mesopancreatic fat infiltration. In this large cohort study, we used available histopathological specimens of the retropancreatic fat and correlated high resolution CT-scans with the microscopic tumor infiltration of this area. We found that preoperative MDCT scans are suitable to detect cancerous infiltration of this mesopancreatic tissue and this, in turn, was a significant indicator for both incomplete surgical resection (R1/R0CRM+) and worse overall survival. These findings indicate that a neoadjuvant treatment in PDAC patients with CT-morphologically positive infiltration of the mesopancreas may result in better local control and thus improved resection rates. Mesopancreatic fat stranding should thus be considered in the decision for neoadjuvant therapy. Background: Due to the persistently high rates of R1 resections, neoadjuvant treatment and mesopancreatic excision (MPE) for ductal adenocarcinoma of the pancreatic head (hPDAC) have recently become a topic of interest. While radiographic cut-off for borderline resectability has been described, the necessary extent of surgery has not been established. It has not yet been elucidated whether pre-operative multi-detector computed tomography (MDCT) staging reliably predicts local mesopancreatic (MP) fat infiltration and tumor extension. Methods: Two hundred and forty two hPDAC patients that underwent MPE were analyzed. Radiographic re-evaluation was performed on (1) mesopancreatic fat stranding (MPS) and stranding to peripancreatic vessels, as well as (2) tumor diameter and anatomy, including contact to peripancreatic vessels (SMA, GDA, CHA, PV, SMV). Routinely resected mesopancreatic and perivascular (SMA and PV/SMV) tissue was histopathologically re-analyzed and histopathology correlated with radiographic findings. A logistic regression of survival was performed. Results: MDCT-predicted tumor diameter correlated with pathological T-stage, whereas presumed tumor contact and fat stranding to SMA and PV/SMV predicted and correlated with histological cancerous infiltration. Importantly, mesopancreatic fat stranding predicted MP cancerous infiltration. Positive MP infiltration was evident in over 78%. MPS and higher CT-predicted tumor diameter correlated with higher R1 resection rates. Patients with positive MP stranding had a significantly worse overall survival (p = 0.023). Conclusions: A detailed preoperative radiographic assessment can predict mesopancreatic infiltration and tumor morphology and should influence the decision for primary surgery, as well as the extent of surgery. To increase the rate of R0CRM- resections, MPS should be considered in the decision for neoadjuvant therapy.
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[Chronic pancreatitis : Characterization and differentiation from pancreatic cancer]. Radiologe 2021; 61:563-571. [PMID: 34002282 PMCID: PMC8187200 DOI: 10.1007/s00117-021-00857-9] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 04/19/2021] [Indexed: 12/02/2022]
Abstract
Klinisches/methodisches Problem Bei der chronischen Pankreatitis (CP) handelt es sich um eine langanhaltende Entzündung der Bauchspeicheldrüse, welche die normale Struktur und Funktion des Organs schädigt. Das breite Spektrum an entzündlichen Pankreaserkrankungen umfasst einzelne Entitäten, wie die fokale Pankreatitis (FP) oder den Pseudotumor („mass-forming pancreatitis“), welche radiomorphologisch ein Adenokarzinom der Bauchspeicheldrüse (PDAC) nachahmen können. In weiterer Folge kann eine Fehldiagnose zu einem vermeidbaren und unnötigen operativen Eingriff oder zu einer Therapieverzögerung führen. Radiologische Standardverfahren Der Ultraschall (US) ist das primäre bildgebende Verfahren zur Abklärung von Pankreaserkrankungen, gefolgt von kontrastmittelverstärkter Computertomographie (KM-CT), die als meistverwendete Methode bei der diagnostischen Abklärung von Bauchspeicheldrüsenerkrankungen gilt. Die Magnetresonanztomographie (MRT) und/oder die MR-Cholangiopankreatographie (MRCP) können als Problemlöser eingesetzt werden, um zwischen soliden und zystischen Läsionen zu unterscheiden sowie auch Anomalien der Pankreasgänge auszuschließen, welche bei rezidivierender akuter Pankreatitis (AP) vorhanden sein können, oder um frühe Anzeichen einer CP zu visualisieren. Die MRCP hat dabei die diagnostische endoskopische retrograde Cholangiopankreatographie (ERCP) in der Abklärung von therapeutischen Interventionen im Wesentlichen ersetzt. Empfehlung für die Praxis Folgender Übersichtsartikel fasst die relevanten Merkmale in der Computertomographie (CT) und MRT zusammen, um eine akkurate, frühzeitige Diagnose einer CP zu stellen und eine Differenzierung zwischen FP und Pankreaskarzinom zu ermöglichen, um somit – auch in schwierigen Fällen – ein adäquates Therapiemanagement zu gewährleisten.
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Causa Andrieu PI, Woo S, Rios-Doria E, Sonoda Y, Ghafoor S. The role of imaging in pelvic exenteration for gynecological cancers. Br J Radiol 2021; 94:20201460. [PMID: 33960814 DOI: 10.1259/bjr.20201460] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/17/2022] Open
Abstract
Pelvic exenteration (PE) is one of the most challenging gynecologic oncologic surgeries and is an overriding term for different procedures that entail radical en bloc resection of the female reproductive organs and removal of additional adjacent affected pelvic organs (bladder, rectum, anus, etc.) with concomitant surgical reconstruction to restore bodily functions. Multimodality cross-sectional imaging with MRI, PET/CT, and CT plays an integral part in treatment decision-making, not only for the appropriate patient selection but also for surveillance after surgery. The purpose of this review is to provide a brief background on pelvic exenteration in gynecologic cancers and to familiarize the reader with the critical radiological aspects in the evaluation of patients for this complex procedure. The focus of this review will be on how imaging can aid in treatment planning and guide management.
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Affiliation(s)
| | - Sungmin Woo
- Department of Radiology, Memorial Sloan Kettering Cancer Center, New York, United States
| | - Eric Rios-Doria
- Department of Gynecological Surgery, Memorial Sloan Kettering Cancer Center, New York, United States
| | - Yukio Sonoda
- Department of Gynecological Surgery, Memorial Sloan Kettering Cancer Center, New York, United States
| | - Soleen Ghafoor
- Institute of Diagnostic and Interventional Radiology, University Hospital Zurich, Zurich, Switzerland
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[The microarchitecture of pancreatic cancer from the point of view of the pathologist and the radiologist]. DER PATHOLOGE 2021; 42:524-529. [PMID: 33956172 PMCID: PMC8390414 DOI: 10.1007/s00292-021-00949-2] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Accepted: 03/26/2021] [Indexed: 11/06/2022]
Abstract
Die diagnostische Radiologie ist gemeinsam mit der diagnostischen Pathologie eines der klinisch-morphologischen Fächer, welche in unterschiedlicher makroskopischer bzw. mikroskopischer Auflösung zur Detektion, Charakterisierung sowie zum Ausbreitungsmuster eines Tumors führen. Die klinischen Disziplinen sind oft voneinander getrennt, wenngleich es vor allem in klinischen Tumorboards immer stärkere Verzahnungen gibt. Am Beispiel des Pankreaskarzinoms sind die Korrelationen radiologischer und pathologischer Diagnostik dargestellt.
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Sunnapwar A, Nagar A, Katre R, Khanna L, Sayana HP. Imaging of Ampullary and Periampullary Conditions. JOURNAL OF GASTROINTESTINAL AND ABDOMINAL RADIOLOGY 2021. [DOI: 10.1055/s-0041-1726663] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 10/21/2022] Open
Abstract
AbstractThe ampulla of Vater is formed by the union of the pancreatic duct and the common bile duct and is also known as hepatopancreatic ampulla or hepatopancreatic duct. The ampulla is surrounded by a muscular valve known as the sphincter of Oddi, which controls the flow of bile and pancreatic juices into the duodenum in response to food. The ampulla is also an important embryological landmark as it marks the anatomical transition from foregut to the midgut. Because of this, it is a watershed zone where the blood supply changes from the celiac axis to the superior mesenteric artery. Radiologic evaluation of the ampulla and the periampullary region is challenging because it requires an understanding of the embryology, the normal appearance, and different anatomic variants. Also, a wide variety of pathologies can occur in this region. The purpose of this review is to present the normal anatomy of the ampulla and the periampullary region on different imaging modalities and to summarize the imaging features of the common variants, and benign and malignant ampullary and periampullary conditions. Understanding of the normal anatomical appearance and variants along with the knowledge of common pathologic conditions affecting the ampulla and periampullary conditions can help radiologists in making accurate diagnosis resulting in optimum patient care.
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Affiliation(s)
- Abhijit Sunnapwar
- Department of Radiology, University of Texas Health San Antonio, San Antonio, Texas, United States
| | - Arpit Nagar
- Department of Radiology, Ohio State University Wexner Medical Center, Columbus, Ohio, United States
| | - Rashmi Katre
- Department of Radiology, University of Texas Health San Antonio, San Antonio, Texas, United States
| | - Lokesh Khanna
- Department of Radiology, University of Texas Health San Antonio, San Antonio, Texas, United States
| | - Hari Prasad Sayana
- Department of Gastroenterology, University of Texas Health San Antonio, San Antonio, Texas, United States
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Augmented Reality-Assisted Pancreaticoduodenectomy with Superior Mesenteric Vein Resection and Reconstruction. Gastroenterol Res Pract 2021; 2021:9621323. [PMID: 33815500 PMCID: PMC7990556 DOI: 10.1155/2021/9621323] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/06/2020] [Revised: 02/22/2021] [Accepted: 02/27/2021] [Indexed: 11/17/2022] Open
Abstract
Introduction Pancreaticoduodenectomy (PD) with superior mesenteric vein (SMV) reconstruction are often required to achieve complete (R0) resection for pancreatic head cancer (PHC) with tumor invasion of the SMV. Augmented reality (AR) technology can be used to assist in determining the extent of SMV involvement by superimposing virtual 3-dimensional (3D) images of the pancreas and regional vasculature on the surgical field. Materials and Methods Three patients with PHC and tumor invasion of the SMV underwent AR-assisted PD with SMV resection and reconstruction following preoperative computed tomography scanning. Preoperative imaging data were used to reconstruct 3D images of anatomical structures, including the tumor, portal vein (PV), SMV, and splenic vein (SV). Using AR software installed on a smart phone, the reconstructed 3D images were superimposed on the surgical field as viewed in a smart phone display to provide intermittent navigational assistance to the surgeon in identifying the boundaries of PHC tumor invasion for resection of the vessels involved. Result All patients successfully completed the operation. Intraoperative AR applications displayed virtual images of the pancreas, SMV, bile duct, common hepatic artery (CHA), and superior mesenteric artery (SMA). Two patients required end-to-end anastomosis for reconstruction of the SMV. One patient required allogenic vascular bypass to reconstruct the SMV-PV juncture with concomitant reconstruction of the SV-SMV confluence by end-to-side anastomosis of the SV and bypass vessel. Postoperative pathology confirmed R0 resections for all patients. Conclusion AR navigation technology based on preoperative CT image data can assist surgeons performing PD with SMV resection and reconstruction.
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Artioli G, Besutti G, Cassetti T, Sereni G, Zizzo M, Bonacini S, Carlinfante G, Panebianco M, Cavazza A, Pinto C, Sassatelli R, Pattacini P, Giorgi Rossi P. Impact of multidisciplinary approach and radiologic review on surgical outcome and overall survival of patients with pancreatic cancer: a retrospective cohort study. TUMORI JOURNAL 2021; 108:147-156. [PMID: 33719770 DOI: 10.1177/0300891621999092] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/15/2022]
Abstract
AIM To evaluate the impact of multidisciplinary team case discussion including computed tomography (CT) radiologic review on surgical outcome and overall survival (OS) of patients with pancreatic ductal adenocarcinoma (PDAC). METHODS Patients with PDAC evaluated in 2008-2011 and 2013-2016 (before and after multidisciplinary team introduction), aged <85 years and staged I-III, were included. Surgical failures and 2-year OS were compared in these periods. Available CT scans of preintervention period (2008-2011) cases were reviewed by two radiologists in consensus, assigning a resectability judgment to evaluate in how many cases a different recommendation would be achieved. RESULTS A total of 316 patients (49.3% female, age 71±10 years) were included: 132 in 2008-2011 and 184 in 2013-2016. The proportion of patients who underwent upfront surgery was similar in the two periods (51% vs 47% in 2008-2011 vs 2013-2016). Neoadjuvant referral increased from 7% to 21% and surgical resection was excluded for 42% patients in 2008-2011 vs 33% in 2013-2016 (p = 0.002). Adjusting by age, sex, and stage, surgical failures slightly decreased in 2013-2016 (odds ratio 0.89, 95% confidence interval 0.53-1.51); the decrease was stronger when therapeutic choice complied with CT indications (odds ratio 0.76, 95% confidence interval 0.36-1.63); in both cases, the decrease could be due to chance. After correction for age, sex, and stage, the hazard ratio of 2013-2016 for OS was 0.83 (95% confidence interval 0.64-1.09). In 33/114 (29%) patients, CT retrospective review produced a change in resectability judgment. CONCLUSION Although differences could be due to chance or generic improvement, the consistency between process and outcome indicators suggests that multidisciplinary team approach with radiologic review may improve outcomes.
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Affiliation(s)
- Giulia Artioli
- Radiology Unit, Department of Imaging and Laboratory Medicine, Azienda Unità Sanitaria Locale-IRCCS di Reggio Emilia, Reggio Emilia, Italy
| | - Giulia Besutti
- Radiology Unit, Department of Imaging and Laboratory Medicine, Azienda Unità Sanitaria Locale-IRCCS di Reggio Emilia, Reggio Emilia, Italy.,Clinical and Experimental Medicine PhD Program, University of Modena and Reggio Emilia, Modena, Italy
| | - Tiziana Cassetti
- Gastroenterology Unit, Azienda Unità Sanitaria Locale-IRCCS di Reggio Emilia, Reggio Emilia, Italy
| | - Giuliana Sereni
- Gastroenterology Unit, Azienda Unità Sanitaria Locale-IRCCS di Reggio Emilia, Reggio Emilia, Italy
| | - Maurizio Zizzo
- Clinical and Experimental Medicine PhD Program, University of Modena and Reggio Emilia, Modena, Italy.,Oncological Surgery Unit, Azienda Unità Sanitaria Locale-IRCCS di Reggio Emilia, Reggio Emilia, Italy
| | - Stefano Bonacini
- Oncological Surgery Unit, Azienda Unità Sanitaria Locale-IRCCS di Reggio Emilia, Reggio Emilia, Italy
| | - Gabriele Carlinfante
- Pathology Unit, Azienda Unità Sanitaria Locale-IRCCS di Reggio Emilia, Reggio Emilia, Italy
| | - Michele Panebianco
- Oncology Unit, Azienda Unità Sanitaria Locale-IRCCS di Reggio Emilia, Reggio Emilia, Italy
| | - Alberto Cavazza
- Pathology Unit, Azienda Unità Sanitaria Locale-IRCCS di Reggio Emilia, Reggio Emilia, Italy
| | - Carmine Pinto
- Oncology Unit, Azienda Unità Sanitaria Locale-IRCCS di Reggio Emilia, Reggio Emilia, Italy
| | - Romano Sassatelli
- Gastroenterology Unit, Azienda Unità Sanitaria Locale-IRCCS di Reggio Emilia, Reggio Emilia, Italy
| | - Pierpaolo Pattacini
- Radiology Unit, Department of Imaging and Laboratory Medicine, Azienda Unità Sanitaria Locale-IRCCS di Reggio Emilia, Reggio Emilia, Italy
| | - Paolo Giorgi Rossi
- Epidemiology Unit, Azienda Unità Sanitaria Locale-IRCCS di Reggio Emilia, Reggio Emilia, Italy
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Hwang SH, Park MS. [Radiologic Evaluation for Resectability of Pancreatic Adenocarcinoma]. TAEHAN YONGSANG UIHAKHOE CHI 2021; 82:315-334. [PMID: 36238739 PMCID: PMC9431945 DOI: 10.3348/jksr.2021.0019] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 01/29/2021] [Revised: 03/15/2021] [Accepted: 03/17/2021] [Indexed: 11/25/2022]
Abstract
Imaging studies play an important role in the detection, diagnosis, assessment of resectability, staging, and determination of patient-tailored treatment options for pancreatic adenocarcinoma. Recently, for patients diagnosed with borderline resectable or locally advanced pancreatic cancers, it is recommended to consider curative-intent surgery following neoadjuvant or palliative therapy, if possible. This review covers how to interpret imaging tests and what to consider when assessing resectability, diagnosing distant metastasis, and re-assessing the resectability of pancreatic cancer after neoadjuvant or palliative therapy.
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Mayer P, Giannakis A, Klauß M, Gaida MM, Bergmann F, Kauczor HU, Feisst M, Hackert T, Loos M. Radiological evaluation of pancreatic cancer: What is the significance of arterial encasement >180° after neoadjuvant treatment? Eur J Radiol 2021; 137:109603. [PMID: 33618209 DOI: 10.1016/j.ejrad.2021.109603] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/01/2020] [Revised: 01/16/2021] [Accepted: 02/08/2021] [Indexed: 12/27/2022]
Abstract
PURPOSE This study aimed to evaluate contrast-enhanced computed tomography (CE-CT) features for prediction of arterial tumor invasion in pancreatic cancer (PDAC) patients in the event of arterial encasement >180° after neoadjuvant (radio-)chemotherapy (NAT). METHODS Seventy PDAC patients with seventy-five arteries showing encasement >180° after completion of NAT were analyzed. All patients underwent surgical exploration with either tumor resection including arterial resection, periadventitial dissection (arterial divestment) or confirmation of locally irresectable disease. CE-CT scans were assessed regarding tumor extent and artery-specific imaging features. The results were analyzed on a per-artery basis. Based on the intraoperative and histopathological findings, encased arteries were classified as either invaded or non-invaded. RESULTS Eighteen radiologically encased arteries were resected; of these, nine had pathologic evidence for tumor invasion. In 42 encased arteries, the tumor could be removed by arterial divestment. In 13 patients with 15 encased arteries, the tumor was deemed technically irresectable. Median tumor size, length of solid soft tissue contact, and degree of circumferential contiguity by solid soft tissue along the artery in CE-CT were significantly lower in the non-invaded than in the invaded artery group (p ≤ 0.017). Imaging features showed moderate accuracies for prediction of arterial invasion (≤72.0 %). The thresholds ≤26 mm for post-NAT solid soft tissue contact and ≤270° for circumferential contiguity by solid soft tissue had high negative predictive values (≥87.5 %). CONCLUSION Although post-NAT prediction of arterial invasion remains difficult, arteries with ≤270° contiguity by soft tissue and arteries with ≤26 mm length of solid soft tissue contact are unlikely to be invaded, with possible implications for surgical planning.
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Affiliation(s)
- P Mayer
- Department of Diagnostic and Interventional Radiology, Heidelberg University Hospital, Heidelberg, Germany.
| | - A Giannakis
- Department of Diagnostic and Interventional Radiology, Heidelberg University Hospital, Heidelberg, Germany
| | - M Klauß
- Department of Diagnostic and Interventional Radiology, Heidelberg University Hospital, Heidelberg, Germany
| | - M M Gaida
- Institute of Pathology, University Medical Center Mainz, Mainz, Germany
| | - F Bergmann
- Institute of Pathology, Heidelberg University Hospital, Heidelberg, Germany
| | - H U Kauczor
- Department of Diagnostic and Interventional Radiology, Heidelberg University Hospital, Heidelberg, Germany
| | - M Feisst
- Institute of Medical Biometry and Informatics, Heidelberg University, Heidelberg, Germany
| | - T Hackert
- Department of General, Visceral and Transplantation Surgery, Heidelberg University Hospital, Heidelberg, Germany
| | - M Loos
- Department of General, Visceral and Transplantation Surgery, Heidelberg University Hospital, Heidelberg, Germany
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Chen F, Zhou Y, Qi X, Xia W, Zhang R, Zhang J, Gao X, Zhang L. CT texture analysis for the presurgical prediction of superior mesenteric-portal vein invasion in pancreatic ductal adenocarcinoma: comparison with CT imaging features. Clin Radiol 2021; 76:358-366. [PMID: 33581837 DOI: 10.1016/j.crad.2021.01.003] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/10/2020] [Accepted: 01/08/2021] [Indexed: 12/19/2022]
Abstract
AIM To investigate the value of computed tomography (CT) texture analysis (TA) and imaging features for evaluating suspected surgical superior mesenteric-portal vein (SMPV) invasion in patients with pancreatic ductal adenocarcinoma (PDAC). MATERIALS AND METHODS Fifty-four patients with PDAC in the pancreatic head or uncinate process with suspected SMPV involvement were analysed retrospectively. SMPV invasion status was identified by surgical exploration. For each patient, 396 texture features were extracted on pretreatment CT. Non-parametric tests and minimum redundancy maximum relevance were used for feature selection. A CTTA model was constructed using multivariate logistic regression, and the area under the receiver operating characteristic (AUROC) of the model was calculated. Two reviewers evaluated qualitative imaging features independently for SMPV invasion and interobserver agreement was investigated. The diagnostic performance of the imaging features and the CTTA model for SMPV invasion was compared using the McNemar test. RESULTS Of the 54 patients with PDAC, SMPV invasion was detected in 23 (42.6%). The CTTA model yielded an AUROC of 0.88 (95% confidence interval, 0.76-0.97) and achieved significantly higher specificity (0.90) than the two reviewers (0.61 and 0.65; p=0.027 and 0.043). Interobserver agreement was moderate between the two reviewers (κ = 0.517). Of the 13 cases with disagreement between the two reviewers, 11 cases were predicted accurately by the CTTA model. CONCLUSION CTTA can predict suspected SMPV invasion in PDAC and may be a beneficial addition for qualitative imaging evaluation.
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Affiliation(s)
- F Chen
- Department of Radiology, The Affiliated Wuxi No. 2 People's Hospital of Nanjing Medical University, Wuxi, Jiangsu, China
| | - Y Zhou
- Department of Hepatobiliary Surgery, The Affiliated Wuxi No. 2 People's Hospital of Nanjing Medical University, Wuxi, Jiangsu, China
| | - X Qi
- Department of Pathology, The Affiliated Wuxi No. 2 People's Hospital of Nanjing Medical University, Wuxi, Jiangsu, China
| | - W Xia
- Suzhou Institute of Biomedical Engineering and Technology, Chinese Academy of Sciences, Suzhou, Jiangsu, China
| | - R Zhang
- Suzhou Institute of Biomedical Engineering and Technology, Chinese Academy of Sciences, Suzhou, Jiangsu, China
| | - J Zhang
- Suzhou Institute of Biomedical Engineering and Technology, Chinese Academy of Sciences, Suzhou, Jiangsu, China
| | - X Gao
- Suzhou Institute of Biomedical Engineering and Technology, Chinese Academy of Sciences, Suzhou, Jiangsu, China
| | - L Zhang
- Department of Radiology, The Affiliated Wuxi No. 2 People's Hospital of Nanjing Medical University, Wuxi, Jiangsu, China.
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Penticuff R, Jeffrey RB, Olcott EW. Hyperechoic Periappendiceal Fat: Evaluation of Criteria for Improving Specificity in the Sonographic Diagnosis of Appendicitis in Pediatric Patients. JOURNAL OF ULTRASOUND IN MEDICINE : OFFICIAL JOURNAL OF THE AMERICAN INSTITUTE OF ULTRASOUND IN MEDICINE 2021; 40:285-296. [PMID: 32697409 DOI: 10.1002/jum.15399] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 12/17/2019] [Revised: 05/28/2020] [Accepted: 06/04/2020] [Indexed: 06/11/2023]
Abstract
OBJECTIVES To test the hypothesis that abutting and encasing types of hyperechoic periappendiceal fat are specific sonographic indicators of appendicitis in pediatric patients, including individuals with maximum outer diameters (MODs) of 6 to 8 mm in whom diagnosis by the MOD alone is known to be equivocal. METHODS Appendiceal sonograms of 271 consecutive pediatric patients were retrospectively evaluated for hyperechoic periappendiceal fat (globular, ≥1.0 cm; categorized as type 0, none; type 1, "abutting," encompassing <180° of the appendiceal circumference; or type 2, "encasing," encompassing 180° or more of the appendiceal circumference) and the MOD. Histopathologic and medical records constituted reference standards. Statistical methods included the binomial distribution, logistic regression, a receiver operating characteristic analysis, and the exact McNemar test. RESULTS All patients with hyperechoic fat and 105 of 107 patients with appendicitis had MODs of 6 mm or greater. The MOD and fat types 1 and 2 each were significantly associated with appendicitis in the univariable regression. The MOD and fat type 1 were independently associated with appendicitis in multivariable regression (odds ratio, 24.97; P = .034; and odds ratio, 5.35; P < .001, respectively). Specificities of an MOD of 6 to 8 mm and an MOD of 6 mm or greater alone were 89.0% (95% confidence interval, 83.2%-93.4%); these increased to 100.0% each (95% confidence interval, 97.8%-100.0%; P < .001) when combined with fat types 1, 2, and either 1 or 2 as diagnostic criteria, with positive predictive values of 100.0%. CONCLUSIONS Types 1 and 2 periappendiceal fat are specific indicators of appendicitis, and both improve specificity compared to the MOD. Importantly, they add specificity in diagnosing appendicitis in patients with diagnostically equivocal MODs of 6 to 8 mm.
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Affiliation(s)
- Ryan Penticuff
- Department of Radiology, Stanford University School of Medicine, Stanford, California, USA
| | - R Brooke Jeffrey
- Department of Radiology, Stanford University School of Medicine, Stanford, California, USA
| | - Eric W Olcott
- Department of Radiology, Stanford University School of Medicine, Stanford, California, USA
- Veterans Affairs Palo Alto Health Care System, Palo Alto, California, USA
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Søreide K. Neoadjuvant and Adjuvant Therapy in Operable Pancreatic Cancer: Both Honey and Milk (but No Bread?). Oncol Ther 2021; 9:1-12. [PMID: 33439449 PMCID: PMC8140001 DOI: 10.1007/s40487-020-00136-y] [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] [Subscribe] [Scholar Register] [Received: 11/24/2020] [Accepted: 12/18/2020] [Indexed: 12/20/2022] Open
Abstract
Pancreatic cancer has a dismal prognosis. Resection is the best option for cure, supported by multimodal therapy to treat the systemic disease. While adjuvant therapy has become standard in those who are fit and who can tolerate the given regimen, the concept of perioperative (neoadjuvant) therapy is building momentum. The concepts of “borderline” and “locally advanced” have changed the previous dichotomized “resectable/non-resectable” into subcategories for which new algorithms have emerged, with neoadjuvant therapy discussed both for upfront resectable pancreatic cancer, for those deemed borderline resectable, and as “induction or conversion” therapy for locally advanced disease. The purpose of this invited commentary is to discuss some of the changing paradigms in multimodal therapy for operable pancreatic cancer. The PREOPANC trial presented randomized data on the role of neoadjuvant therapy for resectable and borderline cancers, but new questions have emerged. The role of combination therapy in the preoperative setting is discussed in the light of this trial. FOLFIRINOX has emerged as the most potent treatment regimen in the metastatic and adjuvant setting, but with no level I data to support neoadjuvant use yet. Several trials are ongoing to arrive at the best answer.
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Affiliation(s)
- Kjetil Søreide
- -Department of Gastrointestinal Surgery, Stavanger University Hospital, Stavanger, Norway.
- Department of Clinical Medicine, University of Bergen, Bergen, Norway.
- Gastrointestinal Translation Research Unit, Stavanger University Hospital, Stavanger, Norway.
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Radiographic Response of Vessel Involvement and Resectability After Neoadjuvant Chemoradiation in Patients With Locally Advanced Pancreatic Cancer. Am J Clin Oncol 2021; 43:776-783. [PMID: 32815856 DOI: 10.1097/coc.0000000000000746] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/02/2023]
Abstract
OBJECTIVES Survival of patients with locally advanced pancreatic cancer (LAPC) is improved when neoadjuvant chemoradiation enables subsequent surgical resection. Here, the authors assess changes in vessel involvement as a possible indicator of resectability. METHODS Pancreatic gross tumor and all major abdominal vessels were contoured for 49 patients with unresectable LAPC before and after neoadjuvant chemoradiation. Changes were compared by paired t tests. Tumor-vessel relationships were automatically quantified using Medical Imaging Interaction Toolkit and examined for correlation with resectability and outcome. RESULTS Tumor volumes were significantly reduced by chemoradiation (41 to 33 mL, P<0.0001). Maximum circumferential vessel involvement decreased for most patients and was statistically significant for the superior mesenteric (P<0.003) and splenic veins (P<0.038). Resection was possible in some patients and correlated positively with survival (28 vs. 15 mo, r=0.40), a decrease in CA 19.9 levels (r=0.48), and reduced involvement of most vessels. Nevertheless, surgical resection with a successful detachment of tumor tissue from major vessels was also achieved in some patients who did not show improvement in radiographic vessel involvement, but rather a reduction in tumor volume and CA 19.9 levels. CONCLUSIONS The present analysis demonstrates that neoadjuvant chemoradiation can enable subsequent surgical resection in patients with LAPC. Complete resection substantially prolongs survival. Therefore, surgical exploration should be offered if vessel involvement is improved by chemoradiation and considered in radiographic unchanged vessel involvement if size and CA 19.9 levels decrease, as these factors may indicate resectable disease, too.
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Arnone A, Laudicella R, Caobelli F, Guglielmo P, Spallino M, Abenavoli E, Martini AL, Filice R, Comis AD, Cuzzocrea M, Linguanti F, Evangelista L, Alongi P. Clinical Impact of 18F-FDG PET/CT in the Diagnostic Workup of Pancreatic Ductal Adenocarcinoma: A Systematic Review. Diagnostics (Basel) 2020; 10:diagnostics10121042. [PMID: 33287195 PMCID: PMC7761738 DOI: 10.3390/diagnostics10121042] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/25/2020] [Revised: 11/29/2020] [Accepted: 11/30/2020] [Indexed: 12/13/2022] Open
Abstract
In this review, the performance of fluorodeoxyglucose (FDG)-positron emission tomography (PET)/computed tomography (CT) in the diagnostic workup of pancreatic ductal adenocarcinoma (PDAC) is evaluated. A comprehensive literature search up to September 2020 was performed, selecting studies with the presence of: sample size ≥10 patients and index test (i.e., “FDG” or “18F-FDG” AND “pancreatic adenocarcinoma” or “pancreas cancer” AND “PET” or “positron emission tomography”). The methodological quality was evaluated using the revised quality assessment of diagnostic accuracy studies (QUADAS-2) tool and presented according to the preferred reporting items for systematic reviews and meta-analyses (PRISMA) guidelines. Basic data (authors, year of publication, country and study design), patients’ characteristics (number of enrolled subjects and age), disease phase, type of treatment and grading were retrieved. Forty-six articles met the adopted research criteria. The articles were divided according to the considered clinical context. Namely, besides conventional anatomical imaging, such as computed tomography (CT) and magnetic resonance imaging (MRI), molecular imaging with FDG PET/CT is an important tool in PDAC, for all disease stages. Further prospective studies will be necessary to confirm the cost-effectiveness of such imaging techniques by testing its real potential improvement in the clinical management of PDAC.
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Affiliation(s)
- Annachiara Arnone
- Nuclear Medicine Unit, Department of Experimental and Clinical Biomedical Sciences “Mario Serio”, University of Florence, 50134 Florence, Italy; (E.A.); (A.L.M.); (F.L.)
- Correspondence:
| | - Riccardo Laudicella
- Department of Biomedical and Dental Sciences and of Morpho-Functional Imaging, Nuclear Medicine Unit, University of Messina, 98125 Messina, Italy; (R.L.); (R.F.); (A.D.C.)
| | - Federico Caobelli
- Clinic of Radiology & Nuclear Medicine, University Hospital Basel, University of Basel, 4031 Basel, Switzerland;
| | - Priscilla Guglielmo
- Nuclear Medicine Division, University Hospital of Parma, 43126 Parma, Italy;
| | - Marianna Spallino
- Nuclear Medicine Unit, ASST “Papa Giovanni XXIII”, 24127 Bergamo, Italy;
| | - Elisabetta Abenavoli
- Nuclear Medicine Unit, Department of Experimental and Clinical Biomedical Sciences “Mario Serio”, University of Florence, 50134 Florence, Italy; (E.A.); (A.L.M.); (F.L.)
| | - Anna Lisa Martini
- Nuclear Medicine Unit, Department of Experimental and Clinical Biomedical Sciences “Mario Serio”, University of Florence, 50134 Florence, Italy; (E.A.); (A.L.M.); (F.L.)
| | - Rossella Filice
- Department of Biomedical and Dental Sciences and of Morpho-Functional Imaging, Nuclear Medicine Unit, University of Messina, 98125 Messina, Italy; (R.L.); (R.F.); (A.D.C.)
| | - Alessio Danilo Comis
- Department of Biomedical and Dental Sciences and of Morpho-Functional Imaging, Nuclear Medicine Unit, University of Messina, 98125 Messina, Italy; (R.L.); (R.F.); (A.D.C.)
| | - Marco Cuzzocrea
- Nuclear Medicine, Fondazione IRCCS Ca’ Granda Ospedale Maggiore Policlinico, 20122 Milan, Italy;
| | - Flavia Linguanti
- Nuclear Medicine Unit, Department of Experimental and Clinical Biomedical Sciences “Mario Serio”, University of Florence, 50134 Florence, Italy; (E.A.); (A.L.M.); (F.L.)
| | - Laura Evangelista
- Nuclear Medicine Unit, Department of Medicine, Padova University Hospital, Via Giustiniani 2, 35128 Padova, Italy;
| | - Pierpaolo Alongi
- Unit of Nuclear Medicine, Fondazione Istituto G.Giglio, 90015 Cefalù, Italy;
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Chen F, Zhou Y, Qi X, Zhang R, Gao X, Xia W, Zhang L. Radiomics-Assisted Presurgical Prediction for Surgical Portal Vein-Superior Mesenteric Vein Invasion in Pancreatic Ductal Adenocarcinoma. Front Oncol 2020; 10:523543. [PMID: 33282722 PMCID: PMC7706539 DOI: 10.3389/fonc.2020.523543] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/30/2019] [Accepted: 10/20/2020] [Indexed: 12/11/2022] Open
Abstract
Objectives To develop a radiomics signature for predicting surgical portal vein-superior mesenteric vein (PV-SMV) in patients with pancreatic ductal adenocarcinoma (PDAC) and measure the effect of providing the predictions of radiomics signature to radiologists with different diagnostic experiences during imaging interpretation. Methods Between February 2008 and June 2020, 146 patients with PDAC in pancreatic head or uncinate process from two institutions were retrospectively included and randomly split into a training (n = 88) and a validation (n =58) cohort. Intraoperative vascular exploration findings were used to identify surgical PV-SMV invasion. Radiomics features were extracted from the portal venous phase CT images. Radiomics signature was built with a linear elastic-net regression model. Area under receiver operating characteristic curve (AUC) of the radiomics signature was calculated. A senior and a junior radiologist independently review CT scans and made the diagnosis for PV-SMV invasion both with and without radiomics score (Radscore) assistance. A 2-sided Pearson's chi-squared test was conducted to evaluate whether there was a difference in sensitivity, specificity, and accuracy between the radiomics signature and the unassisted radiologists. To assess the incremental value of providing Radscore predictions to the radiologists, we compared the performance between unassisted evaluation and Radscore-assisted evaluation by using the McNemar test. Results Numbers of patients identified as presence of surgical PV-SMV invasion were 33 (37.5%) and 19 (32.8%) in the training and validation cohort, respectively. The radiomics signature achieved an AUC of 0.848 (95% confidence interval, 0.724-0.971) in the validation cohort and had a comparable sensitivity, specificity, and accuracy as the senior radiologist in predicting PV-SMV invasion (all p-values > 0.05). Providing predictions of radiomics signature increased both radiologists' sensitivity in identifying PV-SMV invasion, while only the increase of the junior radiologist was significant (63.2 vs 89.5%, p-value = 0.025) instead of the senior radiologist (73.7 vs 89.5%, p-value = 0.08). Both radiologists' accuracy had no significant increase when provided radiomics signature assistance (both p-values > 0.05). Conclusions The radiomics signature can predict surgical PV-SMV invasion in patients with PDAC and may have incremental value to the diagnostic performance of radiologists during imaging interpretation.
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Affiliation(s)
- Fangming Chen
- Department of Radiology, The Affiliated Wuxi No.2 People's Hospital of Nanjing Medical University, Wuxi, China
| | - Yongping Zhou
- Department of Hepatobiliary Surgery, The Affiliated Wuxi No.2 People's Hospital of Nanjing Medical University, Wuxi, China
| | - Xiumin Qi
- Department of Pathology, The Affiliated Wuxi No.2 People's Hospital of Nanjing Medical University, Wuxi, China
| | - Rui Zhang
- Suzhou Institute of Biomedical Engineering and Technology, Chinese Academy of Sciences, Suzhou, China
| | - Xin Gao
- Suzhou Institute of Biomedical Engineering and Technology, Chinese Academy of Sciences, Suzhou, China
| | - Wei Xia
- Suzhou Institute of Biomedical Engineering and Technology, Chinese Academy of Sciences, Suzhou, China
| | - Lei Zhang
- Department of Radiology, The Affiliated Wuxi No.2 People's Hospital of Nanjing Medical University, Wuxi, China
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Ren S, Qian L, Daniels MJ, Duan S, Chen R, Wang Z. Evaluation of contrast-enhanced computed tomography for the differential diagnosis of hypovascular pancreatic neuroendocrine tumors from chronic mass-forming pancreatitis. Eur J Radiol 2020; 133:109360. [PMID: 33126171 DOI: 10.1016/j.ejrad.2020.109360] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/20/2020] [Revised: 09/27/2020] [Accepted: 10/15/2020] [Indexed: 12/28/2022]
Abstract
PURPOSE To assess the role of contrast-enhanced computed tomography (CECT) for differentiation of hypovascular pancreatic neuroendocrine tumors (hypo-PNETs) from chronic mass-forming pancreatitis (CMFP). METHODS A retrospective study of 59 patients (27 hypo-PNETs patients vs 32 CMFP patients) who underwent preoperative CECT between July 2012 and July 2019 was performed. Qualitative and quantitative analysis was performed, including mass location, size, margin, cystic changes, calcification, pancreatic or bile duct dilatation, pancreatic atrophy, local vessels involvement, mass contrast enhancement and mass-to-pancreas enhancement ratio. Multivariate logistic regression analyses were used to identify relevant CT imaging findings in differentiation between hypo-PNETs and CMFP. RESULTS When compared to CMFP, hypo-PNETs more frequently had a well-defined margin and cystic changes and less frequently had a history of pancreatitis and calcification. CMFP had higher mass contrast enhancement and mass-to-pancreas enhancement ratio in the portal and delayed phases than hypo-PNETs. After multivariate logistic regression analyses, areas under the curve (AUCs) were 0.795 (95 % CI: 0.652-0.899), 0.752 (95 % CI: 0.604-0.866), 0.859 (95 % CI: 0.726-0.943), and 0.929 (95 % CI: 0.814-0.983) for Model 1(clinical factors), Model 2 (qualitative parameters), Model 3 (quantitative parameters), and their combinations, respectively. CONCLUSION Combined assessment of clinical factors, qualitative, and quantitative imaging characteristics can improve the differentiation between hypo-PNETs and CMFP at CECT.
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Affiliation(s)
- Shuai Ren
- Department of Radiology, Affiliated Hospital of Nanjing University of Chinese Medicine, Nanjing, 210029, Jiangsu Province, China; Department of Radiology, The Eighth Affiliated Hospital, Sun Yat-Sen University, Shenzhen, 518033, Guangdong Province, China; The First School of Clinical Medicine, Nanjing University of Chinese Medicine, Nanjing, 210023, Jiangsu Province, China; Department of Diagnostic Radiology and Nuclear Medicine, School of Medicine, University of Maryland, Baltimore, MD, 21201, USA
| | - Lichao Qian
- The First School of Clinical Medicine, Nanjing University of Chinese Medicine, Nanjing, 210023, Jiangsu Province, China
| | - Marcus J Daniels
- Johns Hopkins University School of Medicine, Baltimore, Maryland, USA
| | | | - Rong Chen
- Department of Diagnostic Radiology and Nuclear Medicine, School of Medicine, University of Maryland, Baltimore, MD, 21201, USA
| | - Zhongqiu Wang
- Department of Radiology, Affiliated Hospital of Nanjing University of Chinese Medicine, Nanjing, 210029, Jiangsu Province, China; Department of Radiology, The Eighth Affiliated Hospital, Sun Yat-Sen University, Shenzhen, 518033, Guangdong Province, China.
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Gupta AP, Kawamoto S, Javed AA, Weiss MJ, Wolfgang CL, He J, Fishman EK, Vadvala HV. Perioperative CT angiography assessment of locally advanced distal pancreatic carcinoma to evaluate feasibility of the modified Appleby procedure. Eur J Radiol 2020; 131:109248. [PMID: 32919264 DOI: 10.1016/j.ejrad.2020.109248] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/10/2020] [Revised: 06/27/2020] [Accepted: 08/09/2020] [Indexed: 11/29/2022]
Abstract
PURPOSE To study the perioperative CT angiography (CTA) findings of modified Appleby procedure candidates for the surgical feasibility in patients with locally advanced distal pancreatic cancer (LAPC) and to assess CTA performance. MATERIALS AND METHODS This retrospective study evaluated CTA of patients with distal LAPC who underwent modified Appleby procedure between March 2004 and October 2017. Preoperative CT scans performed within up to three months prior to the surgery and postoperative scans, at least one of which was within one month of surgery, were reviewed. Data was collected reporting tumor size, relation to vessels, changes from neoadjuvant chemoradiation, modifications to the surgery and complications. The CTA findings were correlated with operative notes and surgical pathology. Statistical analysis was performed using binary classification method to evaluate CTA performance. RESULTS Consecutive 20 patients underwent modified Appleby procedure in the study period. In 18/20 patients who received neoadjuvant chemoradiation, mean pancreatic mass size significantly reduced from 4.58 + 1.17 cm to 3.55 + 0.84 cm (p = 0.002). The celiac axis (CA) was encased in all, whereas none of the patients had encasement of the superior mesenteric artery (SMA) or involvement of gastroduodenal artery (GDA). The CTA had 88.89% sensitivity, 100% specificity, and 90% accuracy for evaluating the arterial involvement. CONCLUSION Distal LAPC patients, in particular those who have significant size reduction after neoadjuvant chemoradiation, with encasement of CA and without encasement of SMA and GDA can undergo a technically successful modified Appleby procedure. CTA offers accurate and valuable perioperative assessment of the surgical candidates.
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Affiliation(s)
- Ayushi P Gupta
- Department of Radiology and Radiological Science, Johns Hopkins Hospital, Johns Hopkins University, 601 N. Caroline Street, Baltimore, MD 21287, United States.
| | - Satomi Kawamoto
- Department of Radiology and Radiological Science, Johns Hopkins Hospital, Johns Hopkins University, 601 N. Caroline Street, Baltimore, MD 21287, United States.
| | - Ammar A Javed
- Department of Surgery, Johns Hopkins Hospital, Johns Hopkins University, 1800 Orleans Street, Baltimore, MD 21287, United States.
| | - Matthew J Weiss
- Department of Surgery, Johns Hopkins Hospital, Johns Hopkins University, 1800 Orleans Street, Baltimore, MD 21287, United States.
| | - Christopher L Wolfgang
- Department of Surgery, Johns Hopkins Hospital, Johns Hopkins University, 1800 Orleans Street, Baltimore, MD 21287, United States.
| | - Jin He
- Department of Surgery, Johns Hopkins Hospital, Johns Hopkins University, 1800 Orleans Street, Baltimore, MD 21287, United States.
| | - Elliot K Fishman
- Department of Radiology and Radiological Science, Johns Hopkins Hospital, Johns Hopkins University, 601 N. Caroline Street, Baltimore, MD 21287, United States.
| | - Harshna V Vadvala
- Department of Radiology and Radiological Science, Johns Hopkins Hospital, Johns Hopkins University, 601 N. Caroline Street, Baltimore, MD 21287, United States.
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Elbanna KY, Jang HJ, Kim TK. Imaging diagnosis and staging of pancreatic ductal adenocarcinoma: a comprehensive review. Insights Imaging 2020; 11:58. [PMID: 32335790 PMCID: PMC7183518 DOI: 10.1186/s13244-020-00861-y] [Citation(s) in RCA: 78] [Impact Index Per Article: 15.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/11/2020] [Accepted: 03/06/2020] [Indexed: 02/06/2023] Open
Abstract
Pancreatic ductal adenocarcinoma (PDAC) has continued to have a poor prognosis for the last few decades in spite of recent advances in different imaging modalities mainly due to difficulty in early diagnosis and aggressive biological behavior. Early PDAC can be missed on CT due to similar attenuation relative to the normal pancreas, small size, or hidden location in the uncinate process. Tumor resectability and its contingency on the vascular invasion most commonly assessed with multi-phasic thin-slice CT is a continuously changing concept, particularly in the era of frequent neoadjuvant therapy. Coexistent celiac artery stenosis may affect the surgical plan in patients undergoing pancreaticoduodenectomy. In this review, we discuss the challenges related to the imaging of PDAC. These include radiological and clinical subtleties of the tumor, evolving imaging criteria for tumor resectability, preoperative diagnosis of accompanying celiac artery stenosis, and post-neoadjuvant therapy imaging. For each category, the key imaging features and potential pitfalls on cross-sectional imaging will be discussed. Also, we will describe the imaging discriminators of potential mimickers of PDAC.
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Affiliation(s)
- Khaled Y Elbanna
- Joint Department of Medical Imaging, University Health Network, Mount Sinai Hospital and Women's College Hospital, University of Toronto, Toronto, ON, Canada.
| | - Hyun-Jung Jang
- Joint Department of Medical Imaging, University Health Network, Mount Sinai Hospital and Women's College Hospital, University of Toronto, Toronto, ON, Canada
| | - Tae Kyoung Kim
- Joint Department of Medical Imaging, University Health Network, Mount Sinai Hospital and Women's College Hospital, University of Toronto, Toronto, ON, Canada
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Maulat C, Canivet C, Touraine C, Gourgou S, Napoleon B, Palazzo L, Flori N, Piessen G, Guibert P, Truant S, Assenat E, Buscail L, Bournet B, Muscari F. A New Score to Predict the Resectability of Pancreatic Adenocarcinoma: The BACAP Score. Cancers (Basel) 2020; 12:cancers12040783. [PMID: 32218346 PMCID: PMC7226323 DOI: 10.3390/cancers12040783] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/26/2020] [Revised: 03/20/2020] [Accepted: 03/22/2020] [Indexed: 12/13/2022] Open
Abstract
Surgery remains the only curative treatment for pancreatic ductal adenocarcinoma (PDAC). Therefore, a predictive score for resectability on diagnosis is needed. A total of 814 patients were included between 2014 and 2017 from 15 centers included in the BACAP (the national Anatomo-Clinical Database on Pancreatic Adenocarcinoma) prospective cohort. Three groups were defined: resectable (Res), locally advanced (LA), and metastatic (Met). Variables were analyzed and a predictive score was devised. Of the 814 patients included, 703 could be evaluated: 164 Res, 266 LA, and 273 Met. The median ages of the patients were 69, 71, and 69, respectively. The median survival times were 21, 15, and nine months, respectively. Six criteria were significantly associated with a lower probability of resectability in multivariate analysis: venous/arterial thrombosis (p = 0.017), performance status 1 (p = 0.032) or ≥ 2 (p = 0.010), pain (p = 0.003), weight loss ≥ 8% (p = 0.019), topography of the tumor (body/tail) (p = 0.005), and maximal tumor size 20-33 mm (p < 0.013) or >33 mm (p < 0.001). The BACAP score was devised using these criteria (http://jdlp.fr/resectability/) with an accuracy of 81.17% and an area under the receive operating characteristic (ROC) curve of 0.82 (95% confidence interval (CI): 0.78; 0.86). The presence of pejorative criteria or a BACAP score < 50% indicates that further investigations and even neoadjuvant treatment might be warranted. Trial registration: NCT02818829.
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Affiliation(s)
- Charlotte Maulat
- The Digestive Surgery and Liver Transplantation Department, Toulouse University Hospital, 31400 Toulouse, France;
- INSERM U1037, The Toulouse Cancer Research Center, Toulouse University, 31100 Toulouse, France; (L.B.); (B.B.)
- Correspondence: ; Tel.: +33-561-322-741
| | - Cindy Canivet
- The Gastroenterology and Pancreatology Department, Toulouse University Hospital, 31400 Toulouse, France;
| | - Célia Touraine
- Biometrics Unit, Montpellier Cancer Institute, University of Montpellier, 34000 Montpellier, France; (C.T.); (S.G.)
| | - Sophie Gourgou
- Biometrics Unit, Montpellier Cancer Institute, University of Montpellier, 34000 Montpellier, France; (C.T.); (S.G.)
| | - Bertrand Napoleon
- The Jean Mermoz private hospital, Ramsay Général de Santé, 69008 Lyon, France;
| | | | - Nicolas Flori
- The Gastroenterology Department, Montpellier Cancer Institute, University of Montpellier, 34000 Montpellier, France;
| | - Guillaume Piessen
- Department of Digestive and Oncological Surgery, Lille University Hospital, 59000 Lille, France;
- CANTHER laboratory “Cancer Heterogeneity, Plasticity and Resistance to Therapies” UMR-S1277 INSERM, Team “Mucins, Cancer and Drug Resistance”, 59000 Lille, France
| | | | - Stéphanie Truant
- Department of Digestive Surgery and Transplantations, Lille University Hospital, 59000 Lille, France;
| | - Eric Assenat
- The Saint Eloi Hospital, University Hospital, 34000 Montpellier, France;
| | - Louis Buscail
- INSERM U1037, The Toulouse Cancer Research Center, Toulouse University, 31100 Toulouse, France; (L.B.); (B.B.)
- The Gastroenterology and Pancreatology Department, Toulouse University Hospital, 31400 Toulouse, France;
| | - Barbara Bournet
- INSERM U1037, The Toulouse Cancer Research Center, Toulouse University, 31100 Toulouse, France; (L.B.); (B.B.)
- The Gastroenterology and Pancreatology Department, Toulouse University Hospital, 31400 Toulouse, France;
| | - Fabrice Muscari
- The Digestive Surgery and Liver Transplantation Department, Toulouse University Hospital, 31400 Toulouse, France;
- INSERM U1037, The Toulouse Cancer Research Center, Toulouse University, 31100 Toulouse, France; (L.B.); (B.B.)
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Paniccia A, Zureikat A. ASO Author Reflections: Neoadjuvant Chemotherapy for Localized Pancreatic Ductal Adenocarcinoma-Predictors of Disease Progression and Performance Status Decline. Ann Surg Oncol 2020; 27:2972-2973. [PMID: 32124127 DOI: 10.1245/s10434-020-08299-8] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/19/2020] [Indexed: 11/18/2022]
Affiliation(s)
- Alessandro Paniccia
- Department of Surgery, University of Pittsburgh Medical Center, Pittsburgh, PA, USA.
| | - Amer Zureikat
- Department of Surgery, University of Pittsburgh Medical Center, Pittsburgh, PA, USA
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Tanaka M, Inoue Y, Matsueda K, Hiratsuka M, Muto M, Kawakatsu S, Ono Y, Mise Y, Ishizawa T, Ito H, Takahashi Y, Takazawa Y, Saiura A. Three-Dimensional Fixation: Pathological Protocol Following Pancreaticoduodenectomy with Portal Vein Resection for Pancreatic Cancer. J Gastrointest Surg 2020; 24:619-626. [PMID: 30937709 DOI: 10.1007/s11605-019-04203-2] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/16/2019] [Accepted: 03/08/2019] [Indexed: 01/31/2023]
Abstract
BACKGROUND Although existing histopathologic protocols for pancreatic cancer have been standardized, the relevance between prognosis and resection margin clearance is still controversial. Reconstruction of specimens as in situ to appropriately assess the margin is desirable in these protocols. METHODS The three-dimensional fixation protocol defined specimen handling of pancreaticoduodenectomy (PD) with portal vein (PV) resection. The superior mesenteric artery (SMA) margin of the specimen was tidily fixed around an artificial SMA as if in an in situ setting. In this prospective study, patients undergoing PD with PV resection for pancreatic cancer in 2016 were enrolled. To evaluate the feasibility of the three-dimensional fixation protocol, the SMA margin distance and PV involvement of tumor assessed by computed tomography (CT) were compared with those assessed by pathology. RESULTS Thirty-three patients with/without preoperative chemotherapy were enrolled. The entire cohort did not present with high-quality diagnostic assessment of the medial margins around SMA and PV (correct estimation, 58% and 73%, respectively). In contrast, in 16 patients undergoing upfront surgery, the concordance value of the SMA margin, which assesses the agreement between CT and pathology measures, was 0.48 (moderate agreement). The PV involvement examined by imaging was significantly associated with that by pathology (P = 0.013). CONCLUSIONS The three-dimensional fixation protocol was applicable to all cases undergoing PD with PV resection. Focusing on the patients with upfront surgery demonstrated the feasibility of accurate pathological assessment of medial margins. We propose this protocol as a promising standard for the assessment of true surgical margin status.
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Affiliation(s)
- Masayuki Tanaka
- Department of Hepato-Biliary-Pancreatic Surgery, Cancer Institute Hospital, Japanese Foundation for Cancer Research, 3-8-31 Ariake, Koto-ku, Tokyo, 135-8550, Japan
| | - Yosuke Inoue
- Department of Hepato-Biliary-Pancreatic Surgery, Cancer Institute Hospital, Japanese Foundation for Cancer Research, 3-8-31 Ariake, Koto-ku, Tokyo, 135-8550, Japan
| | - Kiyoshi Matsueda
- Department of Diagnostic Imaging, Cancer Institute Hospital, Japanese Foundation for Cancer Research, Tokyo, Japan
| | - Makiko Hiratsuka
- Department of Diagnostic Imaging, Cancer Institute Hospital, Japanese Foundation for Cancer Research, Tokyo, Japan
| | - Mariko Muto
- Department of Pathology, Cancer Institute Hospital, Japanese Foundation for Cancer Research, Tokyo, Japan
| | - Shoji Kawakatsu
- Department of Hepato-Biliary-Pancreatic Surgery, Cancer Institute Hospital, Japanese Foundation for Cancer Research, 3-8-31 Ariake, Koto-ku, Tokyo, 135-8550, Japan
| | - Yoshihiro Ono
- Department of Hepato-Biliary-Pancreatic Surgery, Cancer Institute Hospital, Japanese Foundation for Cancer Research, 3-8-31 Ariake, Koto-ku, Tokyo, 135-8550, Japan
| | - Yoshihiro Mise
- Department of Hepato-Biliary-Pancreatic Surgery, Cancer Institute Hospital, Japanese Foundation for Cancer Research, 3-8-31 Ariake, Koto-ku, Tokyo, 135-8550, Japan
| | - Takeaki Ishizawa
- Department of Hepato-Biliary-Pancreatic Surgery, Cancer Institute Hospital, Japanese Foundation for Cancer Research, 3-8-31 Ariake, Koto-ku, Tokyo, 135-8550, Japan
| | - Hiromichi Ito
- Department of Hepato-Biliary-Pancreatic Surgery, Cancer Institute Hospital, Japanese Foundation for Cancer Research, 3-8-31 Ariake, Koto-ku, Tokyo, 135-8550, Japan
| | - Yu Takahashi
- Department of Hepato-Biliary-Pancreatic Surgery, Cancer Institute Hospital, Japanese Foundation for Cancer Research, 3-8-31 Ariake, Koto-ku, Tokyo, 135-8550, Japan
| | - Yutaka Takazawa
- Department of Pathology, Cancer Institute Hospital, Japanese Foundation for Cancer Research, Tokyo, Japan
| | - Akio Saiura
- Department of Hepato-Biliary-Pancreatic Surgery, Cancer Institute Hospital, Japanese Foundation for Cancer Research, 3-8-31 Ariake, Koto-ku, Tokyo, 135-8550, Japan.
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Dimarco M, Cannella R, Pellegrino S, Iadicola D, Tutino R, Allegra F, Castiglione D, Salvaggio G, Midiri M, Brancatelli G, Vernuccio F. Impact of structured report on the quality of preoperative CT staging of pancreatic ductal adenocarcinoma: assessment of intra- and inter-reader variability. Abdom Radiol (NY) 2020; 45:437-448. [PMID: 31686180 DOI: 10.1007/s00261-019-02287-7] [Citation(s) in RCA: 10] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/14/2023]
Abstract
PURPOSE To evaluate whether a structured radiology report improves the completeness of preoperative CT staging of pancreatic ductal adenocarcinoma (PDA) compared to conventional free-text reports. METHODS We retrospectively included 27 patients (mean age, 64 ± 11.1 years) referred for pancreatic preoperative CT scan for staging of PDA between 2015 and 2018 and in whom a diagnosis of pancreatic adenocarcinoma was ultimately confirmed. Four readers independently reported CT scans with both conventional free-text and structured reports. Differences in reported morphologic and vascular features with the two reports were assessed through McNemar Test. Intra-reader and inter-reader were calculated. RESULTS A total of 216 reports were completed by four different readers including 108 free-text and 108 structured reports. Overall, 139 of 540 morphologic characteristics of PDA and 869 of 1188 vascular key features were only described in structured reports. Encasement of left gastric artery, gastroduodenal artery and splenic artery was described in up to 14.8% using free-text reports and in up to 29.6% using structured report, resulting in low-intra-reader agreement (k = 0.033-0.216). Inter-reader agreement improved with structured report compared to free-text one for left gastric artery (ICC = 0.844 vs. ICC = 0.493, respectively), gastroduodenal artery (ICC = 0.730 vs. ICC = 0.449, respectively), portal vein (ICC = 0.847 vs. ICC = 0.638, respectively), portal confluence (ICC = 0.848 vs. ICC = 0.422, respectively) superior mesenteric vein (ICC = 0.765 vs. ICC = 0.695, respectively), and splenic vein (ICC = 0.921 vs. ICC = 0.841, respectively). CONCLUSION Structured reports for PDA staging significantly reduces the number of missing morphological and vascular features of PDA and improves the inter-reader agreement compared to free-text reports.
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Affiliation(s)
- Mariangela Dimarco
- Dipartimento di Biomedicina, Neuroscienze e Diagnostica avanzata (BIND), University Hospital of Palermo, Via del Vespro 129, 90127, Palermo, Italy
| | - Roberto Cannella
- Dipartimento di Biomedicina, Neuroscienze e Diagnostica avanzata (BIND), University Hospital of Palermo, Via del Vespro 129, 90127, Palermo, Italy.
| | - Silvia Pellegrino
- Dipartimento di Biomedicina, Neuroscienze e Diagnostica avanzata (BIND), University Hospital of Palermo, Via del Vespro 129, 90127, Palermo, Italy
| | - Dario Iadicola
- Department of Surgical, Oncological and Oral Sciences (Di. Chir. On. S.), University of Palermo, Policlinico P. Giaccone. Via Liborio Giuffré 5, 90127, Palermo, Italy
| | - Roberta Tutino
- Department of Surgical, Oncological and Oral Sciences (Di. Chir. On. S.), University of Palermo, Policlinico P. Giaccone. Via Liborio Giuffré 5, 90127, Palermo, Italy
| | - Francesco Allegra
- Dipartimento di Biomedicina, Neuroscienze e Diagnostica avanzata (BIND), University Hospital of Palermo, Via del Vespro 129, 90127, Palermo, Italy
| | - Davide Castiglione
- Dipartimento di Biomedicina, Neuroscienze e Diagnostica avanzata (BIND), University Hospital of Palermo, Via del Vespro 129, 90127, Palermo, Italy
| | - Giuseppe Salvaggio
- Dipartimento di Biomedicina, Neuroscienze e Diagnostica avanzata (BIND), University Hospital of Palermo, Via del Vespro 129, 90127, Palermo, Italy
| | - Massimo Midiri
- Dipartimento di Biomedicina, Neuroscienze e Diagnostica avanzata (BIND), University Hospital of Palermo, Via del Vespro 129, 90127, Palermo, Italy
| | - Giuseppe Brancatelli
- Dipartimento di Biomedicina, Neuroscienze e Diagnostica avanzata (BIND), University Hospital of Palermo, Via del Vespro 129, 90127, Palermo, Italy
| | - Federica Vernuccio
- Dipartimento Promozione della Salute, Materno-Infantile, Medicina Interna e Specialistica di Eccellenza "G.D'Alessandro" (PROMISE), University of Palermo, Piazza delle Cliniche n.2, 90127, Palermo, Italy
- University Paris Diderot, Sorbonne Paris Cité, Paris, France
- I.R.C.C.S. Centro Neurolesi Bonino Pulejo, Contrada Casazza, SS113, 98124, Messina, Italy
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Joo I, Lee JM, Lee ES, Son JY, Lee DH, Ahn SJ, Chang W, Lee SM, Kang HJ, Yang HK. Preoperative CT Classification of the Resectability of Pancreatic Cancer: Interobserver Agreement. Radiology 2019; 293:343-349. [DOI: 10.1148/radiol.2019190422] [Citation(s) in RCA: 27] [Impact Index Per Article: 4.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/08/2023]
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Cachectic Body Composition and Inflammatory Markers Portend a Poor Prognosis in Patients with Locally Advanced Pancreatic Cancer Treated with Chemoradiation. Cancers (Basel) 2019; 11:cancers11111655. [PMID: 31717736 PMCID: PMC6895786 DOI: 10.3390/cancers11111655] [Citation(s) in RCA: 43] [Impact Index Per Article: 7.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/30/2019] [Revised: 10/19/2019] [Accepted: 10/24/2019] [Indexed: 12/19/2022] Open
Abstract
BACKGROUND Patients with pancreatic cancer often develop cancer cachexia, a complex multifactorial syndrome with weight loss, muscle wasting and adipose tissue depletion with systemic inflammation causing physical impairment. In patients with locally advanced pancreatic cancer (LAPC) neoadjuvant treatment is routinely performed to allow a subsequent resection. Herein, we assess body composition and laboratory markers for cancer cachexia both before and after neoadjuvant chemoradiation (CRT). METHODS Subcutaneous fat (SCF), visceral fat (VF), skeletal muscle (SM), weight and laboratory parameters were determined longitudinally in 141 LAPC patients treated with neoadjuvant CRT. Changes during CRT were statistically analyzed and correlated with outcome and Kaplan-Meier curves were plotted. Different prognostic factors linked to cachexia were assessed by uni- and multivariable cox proportional hazards models. RESULTS There was a significant decrease in weight as well as SCF, VF and SM during CRT. The laboratory parameter C-reactive protein (CRP) increased significantly, whereas there was a significant decrease in leukocyte count, hemoglobin, albumin and cholinesterase as well as in the tumor marker CA 19.9. Cachectic weight loss, sarcopenia, reductions in body compartments SCF, VF and SM, and changes in laboratory markers as well as resection affected survival in univariable analysis. In multivariable analysis, weight loss >5% (HR 2.8), reduction in SM >5% (HR 5.5), an increase in CRP (HR 2.2) or CA 19.9 (HR 1.9), and resection (HR 0.4) remained independently associated with survival, whereas classical cachexia and sarcopenia did not. Interestingly, the subgroup of patients with cachectic weight loss >5% or SM reduction >5% during CRT did not benefit from resection (median survival 12 vs. 27 months). CONCLUSIONS Persistent weight loss and muscle depletion during CRT as well as systemic inflammation after CRT impacted survival more than cachexia or sarcopenia according classical definitions.
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Nagayama Y, Tanoue S, Inoue T, Oda S, Nakaura T, Utsunomiya D, Yamashita Y. Dual-layer spectral CT improves image quality of multiphasic pancreas CT in patients with pancreatic ductal adenocarcinoma. Eur Radiol 2019; 30:394-403. [DOI: 10.1007/s00330-019-06337-y] [Citation(s) in RCA: 16] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/17/2019] [Revised: 05/30/2019] [Accepted: 06/21/2019] [Indexed: 12/19/2022]
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