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Lamarca A, Bartsch DK, Caplin M, Kos-Kudla B, Kjaer A, Partelli S, Rinke A, Janson ET, Thirlwell C, van Velthuysen MLF, Vullierme MP, Pavel M. European Neuroendocrine Tumor Society (ENETS) 2024 guidance paper for the management of well-differentiated small intestine neuroendocrine tumours. J Neuroendocrinol 2024:e13423. [PMID: 38977327 DOI: 10.1111/jne.13423] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/25/2024] [Revised: 05/28/2024] [Accepted: 06/02/2024] [Indexed: 07/10/2024]
Abstract
Both the incidence and prevalence of well-differentiated neuroendocrine tumours from the small intestine (Si-NET) are gradually increasing. Most patients have non-functioning tumours with subtle GI symptoms and tumours are often discovered incidentally by endoscopy or at advanced disease stages by imaging depicting mesenteric lymph node and /or liver metastases while around 30% of the patients present with symptoms of the carcinoid syndrome. Adequate biochemical assessment and staging including functional imaging is crucial for treatment-related decision-making that should take place in an expert multidisciplinary team setting. Preferably, patients should be referred to specialised ENETS Centres of Excellence or centres of high expertise in the field. This guidance paper provides the current evidence and best knowledge for the management of Si-NET grade (G) 1-3 following 10 key questions of practical relevance for the diagnostic and therapeutic decision making.
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Affiliation(s)
- Angela Lamarca
- Department of Oncology - Onco Health Institute, Fundación Jiménez Díaz University Hospital, Madrid, Spain
- Department of Medical Oncology, The Christie NHS Foundation, Manchester, Division of Cancer Sciences, University of Manchester, Manchester, UK
| | - Detlef K Bartsch
- Department of Visceral-, Thoracic- and Vascular Surgery, Philipps University Marburg, Marburg, Germany
| | - Martyn Caplin
- Neuroendocrine Tumour Unit, Royal Free Hospital, London, UK
| | - Beata Kos-Kudla
- Department of Endocrinology and Neuroendocrine Tumors, ENETS Center of Excellence, Department of Pathophysiology and Endocrinology, Medical University of Silesia, Katowice, Poland
| | - Andreas Kjaer
- Department of Clinical Physiology and Nuclear Medicine and Cluster for Molecular Imaging, Copenhagen University of Copenhagen-Rigshospitalet, Department of Biomedical Sciences, University of Copenhagen, Copenhagen, Denmark
| | - Stefano Partelli
- Pancreas Translational and Clinical Research Centre, Pancreatic and Transplant Surgery Unit, Vita-Salute San Raffaele University, Milan, Italy
| | - Anja Rinke
- Department of Gastroenterology, University Hospital Marburg and Philipps University Marburg, Marburg, Germany
| | - Eva Tiensuu Janson
- Department of Medical Sciences, Endocrine Oncology Unit, Uppsala University, Uppsala, Sweden
| | - Christina Thirlwell
- Department of Medical Oncology, University of Exeter Medical School, Exeter, UK
| | | | - Marie-Pierre Vullierme
- Department of Radiology, Paul Brousse University Hospital, AP-HP-University Paris Saclay, Villejuif, France
| | - Marianne Pavel
- Department of Medicine 1, Friedrich-Alexander University Erlangen-Nürnberg, ENETS Center of Excellence Erlangen, CCC Erlangen- EMN, and Deutsches Zentrum Immuntherapie (DZI), University Hospital Erlangen, Erlangen, Germany
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Lu J, Guo Q, Zhang Y, Zhao S, Li R, Fu Y, Feng Z, Wu Y, Li R, Li X, Qiang J, Wu X, Gu Y, Li H. A modified diffusion-weighted magnetic resonance imaging-based model from the radiologist's perspective: improved performance in determining the surgical resectability of advanced high-grade serous ovarian cancer. Am J Obstet Gynecol 2024; 231:117.e1-117.e17. [PMID: 38432417 DOI: 10.1016/j.ajog.2024.02.302] [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: 10/20/2023] [Revised: 02/22/2024] [Accepted: 02/22/2024] [Indexed: 03/05/2024]
Abstract
BACKGROUND Complete resection of all visible lesions during primary debulking surgery is associated with the most favorable prognosis in patients with advanced high-grade serous ovarian cancer. An accurate preoperative assessment of resectability is pivotal for tailored management. OBJECTIVE This study aimed to assess the potential value of a modified model that integrates the original 8 radiologic criteria of the Memorial Sloan Kettering Cancer Center model with imaging features of the subcapsular or diaphragm and mesenteric lesions depicted on diffusion-weighted magnetic resonance imaging and growth patterns of all lesions for predicting the resectability of advanced high-grade serous ovarian cancer. STUDY DESIGN This study included 184 patients with high-grade serous ovarian cancer who underwent preoperative diffusion-weighted magnetic resonance imaging between December 2018 and May 2023 at 2 medical centers. The patient cohort was divided into 3 subsets, namely a study cohort (n=100), an internal validation cohort (n=46), and an external validation cohort (n=38). Preoperative radiologic evaluations were independently conducted by 2 radiologists using both the Memorial Sloan Kettering Cancer Center model and the modified diffusion-weighted magnetic resonance imaging-based model. The morphologic characteristics of the ovarian tumors depicted on magnetic resonance imaging were assessed as either mass-like or infiltrative, and transcriptomic analysis of the primary tumor samples was performed. Univariate and multivariate statistical analyses were performed. RESULTS In the study cohort, both the scores derived using the Memorial Sloan Kettering Cancer Center (intraclass correlation coefficients of 0.980 and 0.959, respectively; both P<.001) and modified diffusion-weighted magnetic resonance imaging-based models (intraclass correlation coefficients of 0.962 and 0.940, respectively; both P<.001) demonstrated excellent intra- and interobserver agreement. The Memorial Sloan Kettering Cancer Center model (odds ratio, 1.825; 95% confidence interval, 1.390-2.395; P<.001) and the modified diffusion-weighted magnetic resonance imaging-based model (odds ratio, 1.776; 95% confidence interval, 1.410-2.238; P<.001) independently predicted surgical resectability. The modified diffusion-weighted magnetic resonance imaging-based model demonstrated improved predictive performance with an area under the curve of 0.867 in the study cohort and 0.806 and 0.913 in the internal and external validation cohorts, respectively. Using the modified diffusion-weighted magnetic resonance imaging-based model, patients with scores of 0 to 2, 3 to 4, 5 to 6, 7 to 10, and ≥11 achieved complete tumor debulking rates of 90.3%, 66.7%, 53.3%, 11.8%, and 0%, respectively. Most patients with incomplete tumor debulking had infiltrative tumors, and both the Memorial Sloan Kettering Cancer Center and the modified diffusion-weighted magnetic resonance imaging-based models yielded higher scores. The molecular differences between the 2 morphologic subtypes were identified. CONCLUSION When compared with the Memorial Sloan Kettering Cancer Center model, the modified diffusion-weighted magnetic resonance imaging-based model demonstrated enhanced accuracy in the preoperative prediction of resectability for advanced high-grade serous ovarian cancer. Patients with scores of 0 to 6 were eligible for primary debulking surgery.
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Affiliation(s)
- Jing Lu
- Department of Radiology, Fudan University Shanghai Cancer Center, Shanghai, China; Department of Oncology, Shanghai Medical College, Fudan University, Shanghai, China
| | - Qinhao Guo
- Department of Oncology, Shanghai Medical College, Fudan University, Shanghai, China; Department of Gynecological Oncology, Fudan University Shanghai Cancer Center, Shanghai, China
| | - Ya Zhang
- Department of Radiology, The Third Affiliated Hospital of Kunming Medical University, Yunnan Cancer Hospital, Kunming, Yunnan, China
| | - Shuhui Zhao
- Department of Radiology, Xinhua Hospital affiliated with the Shanghai Jiaotong University School of Medicine, Shanghai, China
| | - Ruimin Li
- Department of Radiology, Fudan University Shanghai Cancer Center, Shanghai, China; Department of Oncology, Shanghai Medical College, Fudan University, Shanghai, China
| | - Yi Fu
- Department of Radiology, Fudan University Shanghai Cancer Center, Shanghai, China; Department of Oncology, Shanghai Medical College, Fudan University, Shanghai, China
| | - Zheng Feng
- Department of Oncology, Shanghai Medical College, Fudan University, Shanghai, China; Department of Gynecological Oncology, Fudan University Shanghai Cancer Center, Shanghai, China
| | - Yong Wu
- Department of Oncology, Shanghai Medical College, Fudan University, Shanghai, China; Department of Gynecological Oncology, Fudan University Shanghai Cancer Center, Shanghai, China
| | - Rong Li
- Department of Radiology, Fudan University Shanghai Cancer Center, Shanghai, China; Department of Oncology, Shanghai Medical College, Fudan University, Shanghai, China
| | - Xiaojie Li
- Department of Radiology, Kunming Second People's Hospital, Kunming, Yunnan, China
| | - Jinwei Qiang
- Department of Radiology, Jinshan Hospital, Fudan University, Shanghai, China
| | - Xiaohua Wu
- Department of Oncology, Shanghai Medical College, Fudan University, Shanghai, China; Department of Gynecological Oncology, Fudan University Shanghai Cancer Center, Shanghai, China
| | - Yajia Gu
- Department of Radiology, Fudan University Shanghai Cancer Center, Shanghai, China; Department of Oncology, Shanghai Medical College, Fudan University, Shanghai, China
| | - Haiming Li
- Department of Radiology, Fudan University Shanghai Cancer Center, Shanghai, China; Department of Oncology, Shanghai Medical College, Fudan University, Shanghai, China.
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Pisuchpen N, Lennartz S, Parakh A, Kongboonvijit S, Srinivas Rao S, Pierce TT, Anderson MA, Hahn PF, Mercaldo ND, Kambadakone A. Material density dual-energy CT images: value added in early diagnosis of peritoneal carcinomatosis : Original research. Abdom Radiol (NY) 2024:10.1007/s00261-024-04451-0. [PMID: 38916617 DOI: 10.1007/s00261-024-04451-0] [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: 04/11/2024] [Revised: 06/07/2024] [Accepted: 06/10/2024] [Indexed: 06/26/2024]
Abstract
OBJECTIVE To assess the value of material density (MD) images generated from a rapid kilovoltage-switching dual-energy CT (rsDECT) in early detection of peritoneal carcinomatosis (PC). MATERIALS AND METHODS Thirty patients (60 ± 13 years; 24 women) with PC detected on multiple abdominal DECT scans were included. Four separate DECTs with varying findings of PC from each patient were used for qualitative/quantitative analysis, resulting in a total of 120 DECT scans (n = 30 × 4). Three radiologists independently reviewed DECT images (65 keV alone and 65 keV + MD) for diagnosis of PC (diagnostic confidence, lesion conspicuity, sharpness/delineation and image quality) using a 5-point Likert scale. Quantitative estimation of contrast-to-noise ratio (CNR) was done. Wilcoxon signed-rank test and Odds ratio calculation were used to compare between the two protocols. Inter-observer agreement was evaluated using Kappa coefficient analysis. P values < 0.05 were considered statistically significant. RESULTS 65 keV + MD images showed a slightly higher sensitivity (89%[95%CI:84,92]) for PC detection compared with 65 keV images alone without statistical significance (84%[95%CI:78,88], p = 0.11) with the experienced reader showing significant improvement (98%[95%CI:93,100] vs. 90%[95%CI:83,94], p = 0.02). On a per-patient basis, use of MD images allowed earlier diagnosis for PC in an additional 13-23% of patients. On sub-group analysis, earlier diagnosis of PC was particularly beneficial in patients with BMI ≤ 29.9 kg/m2. 65 keV + MD images showed higher diagnostic confidence, lesion conspicuity, and lesion sharpness for the experienced reader (p < 0.001). CNR was higher in MD images (1.7 ± 0.5) than 65 keV images (0.1 ± 0.02, p < 0.001). All readers showed moderate interobserver agreement for determining PC by both protocols (κ = 0.58 and κ = 0.47). CONCLUSION MD images allow earlier and improved detection of PC with the degree of benefit varying based on reader experience and patient body habitus.
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Affiliation(s)
- Nisanard Pisuchpen
- Abdominal Radiology Division, Department of Radiology, Massachusetts General Hospital, Harvard Medical School, White 270, 55 Fruit Street, Boston, MA, 02114, USA
- Department of Radiology, Faculty of Medicine, King Chulalongkorn Memorial Hospital, Thai Red Cross Society, Chulalongkorn University, Bangkok, 10330, Thailand
| | - Simon Lennartz
- Abdominal Radiology Division, Department of Radiology, Massachusetts General Hospital, Harvard Medical School, White 270, 55 Fruit Street, Boston, MA, 02114, USA
- Institute for Diagnostic and Interventional Radiology, Faculty of Medicine and University Hospital Cologne, University Cologne, 50937, Cologne, Germany
| | - Anushri Parakh
- Abdominal Radiology Division, Department of Radiology, Massachusetts General Hospital, Harvard Medical School, White 270, 55 Fruit Street, Boston, MA, 02114, USA
| | - Sasiprang Kongboonvijit
- Abdominal Radiology Division, Department of Radiology, Massachusetts General Hospital, Harvard Medical School, White 270, 55 Fruit Street, Boston, MA, 02114, USA
- Department of Radiology, Faculty of Medicine, King Chulalongkorn Memorial Hospital, Thai Red Cross Society, Chulalongkorn University, Bangkok, 10330, Thailand
| | - Shravya Srinivas Rao
- Abdominal Radiology Division, Department of Radiology, Massachusetts General Hospital, Harvard Medical School, White 270, 55 Fruit Street, Boston, MA, 02114, USA
| | - Theodore T Pierce
- Abdominal Radiology Division, Department of Radiology, Massachusetts General Hospital, Harvard Medical School, White 270, 55 Fruit Street, Boston, MA, 02114, USA
| | - Mark A Anderson
- Abdominal Radiology Division, Department of Radiology, Massachusetts General Hospital, Harvard Medical School, White 270, 55 Fruit Street, Boston, MA, 02114, USA
| | - Peter F Hahn
- Abdominal Radiology Division, Department of Radiology, Massachusetts General Hospital, Harvard Medical School, White 270, 55 Fruit Street, Boston, MA, 02114, USA
| | - Nathaniel D Mercaldo
- Abdominal Radiology Division, Department of Radiology, Massachusetts General Hospital, Harvard Medical School, White 270, 55 Fruit Street, Boston, MA, 02114, USA
| | - Avinash Kambadakone
- Abdominal Radiology Division, Department of Radiology, Massachusetts General Hospital, Harvard Medical School, White 270, 55 Fruit Street, Boston, MA, 02114, USA.
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Zhang D, Zheng B, Xu L, Wu Y, Shen C, Bao S, Tan Z, Sun C. A radiomics-boosted deep-learning for risk assessment of synchronous peritoneal metastasis in colorectal cancer. Insights Imaging 2024; 15:150. [PMID: 38886244 PMCID: PMC11183032 DOI: 10.1186/s13244-024-01733-5] [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: 12/27/2023] [Accepted: 05/09/2024] [Indexed: 06/20/2024] Open
Abstract
OBJECTIVES Synchronous colorectal cancer peritoneal metastasis (CRPM) has a poor prognosis. This study aimed to create a radiomics-boosted deep learning model by PET/CT image for risk assessment of synchronous CRPM. METHODS A total of 220 colorectal cancer (CRC) cases were enrolled in this study. We mapped the feature maps (Radiomic feature maps (RFMs)) of radiomic features across CT and PET image patches by a 2D sliding kernel. Based on ResNet50, a radiomics-boosted deep learning model was trained using PET/CT image patches and RFMs. Besides that, we explored whether the peritumoral region contributes to the assessment of CRPM. In this study, the performance of each model was evaluated by the area under the curves (AUC). RESULTS The AUCs of the radiomics-boosted deep learning model in the training, internal, external, and all validation datasets were 0.926 (95% confidence interval (CI): 0.874-0.978), 0.897 (95% CI: 0.801-0.994), 0.885 (95% CI: 0.795-0.975), and 0.889 (95% CI: 0.823-0.954), respectively. This model exhibited consistency in the calibration curve, the Delong test and IDI identified it as the most predictive model. CONCLUSIONS The radiomics-boosted deep learning model showed superior estimated performance in preoperative prediction of synchronous CRPM from pre-treatment PET/CT, offering potential assistance in the development of more personalized treatment methods and follow-up plans. CRITICAL RELEVANCE STATEMENT The onset of synchronous colorectal CRPM is insidious, and using a radiomics-boosted deep learning model to assess the risk of CRPM before treatment can help make personalized clinical treatment decisions or choose more sensitive follow-up plans. KEY POINTS Prognosis for patients with CRPM is bleak, and early detection poses challenges. The synergy between radiomics and deep learning proves advantageous in evaluating CRPM. The radiomics-boosted deep-learning model proves valuable in tailoring treatment approaches for CRC patients.
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Affiliation(s)
- Ding Zhang
- Medical School of Nantong University, Nantong, JiangSu, China
- Department of Nuclear Medicine, Affiliated Hospital of Nantong University, Nantong, JiangSu, China
| | - BingShu Zheng
- Medical School of Nantong University, Nantong, JiangSu, China
| | - LiuWei Xu
- Medical School of Nantong University, Nantong, JiangSu, China
| | - YiCong Wu
- Medical School of Nantong University, Nantong, JiangSu, China
| | - Chen Shen
- Department of General Surgery, Affiliated Hospital of Nantong University, Nantong, JiangSu, China
| | - ShanLei Bao
- Department of Nuclear Medicine, Affiliated Hospital of Nantong University, Nantong, JiangSu, China
| | - ZhongHua Tan
- Department of Nuclear Medicine, Affiliated Hospital of Nantong University, Nantong, JiangSu, China.
| | - ChunFeng Sun
- Department of Nuclear Medicine, Affiliated Hospital of Nantong University, Nantong, JiangSu, China.
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Bentestuen M, Ladekarl M, Knudsen A, Zacho HD. Diagnostic accuracy and clinical value of [68Ga]Ga-FAPI-46 PET/CT for staging patients with ovarian cancer: study protocol for a prospective clinical trial. BMC Cancer 2024; 24:699. [PMID: 38849741 PMCID: PMC11157941 DOI: 10.1186/s12885-024-12461-w] [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: 01/29/2024] [Accepted: 05/31/2024] [Indexed: 06/09/2024] Open
Abstract
BACKGROUND [18F]Fluorodeoxyglucose ([18F]FDG) positron emission tomography (PET) is recommended during diagnostic work-up for ovarian cancer; however, [18F]FDG PET has several inherent limitations. The novel oncologic PET-tracer fibroblast activation protein inhibitor (FAPI) has demonstrated promising results in multiple cancer types, including ovarian cancer, and could overcome the limitations of [18F]FDG PET; however, high-quality clinical studies are lacking. The primary objective of the present study is to compare the diagnostic accuracy of [68Ga]Ga-FAPI-46 PET/CT and [18F]FDG PET/CT in ovarian cancer patients and to investigate how this potential difference impacts staging and patient management. METHODS AND DESIGN Fifty consecutive ovarian cancer patients will be recruited from Aalborg University Hospital, Denmark. This study will be a single-center, prospective, exploratory clinical trial that adheres to the standards for reporting diagnostic accuracy studies (STARD). This study will be conducted under continuous Good Clinical Practice monitoring. The eligibility criteria for patients are as follows: (1) biopsy verified newly diagnosed ovarian cancer or a high risk of ovarian cancer and referred for primary staging with [18F]FDG PET/CT; and (2) resectable disease, i.e., candidate for primary debulking surgery or neoadjuvant chemotherapy followed by interval debulking surgery. All recruited study subjects will undergo [68Ga]Ga-FAPI-46 PET/CT at primary staging, before primary debulking surgery or neoadjuvant chemotherapy (Group A + B), in addition to conventional imaging (including [18F]FDG PET/CT). Study subjects in Group B will undergo an additional [68Ga]Ga-FAPI-46 PET/CT following neoadjuvant chemotherapy prior to interval debulking surgery. The results of the study-related [68Ga]Ga-FAPI-46 PET/CTs will be blinded, and treatment allocation will be based on common clinical practice in accordance with current guidelines. The histopathology of surgical specimens will serve as a reference standard. A recruitment period of 2 years is estimated; the trial is currently recruiting. DISCUSSION To our knowledge, this trial represents the largest, most extensive, and most meticulous prospective FAPI PET study conducted in patients with ovarian cancer thus far. This study aims to obtain a reliable estimation of the diagnostic accuracy of [68Ga]Ga-FAPI-46 PET/CT, shed light on the clinical importance of [68Ga]Ga-FAPI-46 PET/CT, and examine the potential applicability of [68Ga]Ga-FAPI-46 PET/CT for evaluating chemotherapy response. TRIAL REGISTRATION clinicaltrials.gov: NCT05903807, 2nd June 2023; and euclinicaltrials.eu EU CT Number: 2023-505938-98-00, authorized 11th September 2023.
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Affiliation(s)
- Morten Bentestuen
- Department of Nuclear Medicine and Clinical Cancer Research Center, Aalborg University Hospital, Hobrovej 18- 22, Aalborg, DK-9000, Denmark.
- Department of Clinical Medicine, Aalborg University, Sdr. Skovvej 11, Aalborg, DK-9000, Denmark.
| | - Morten Ladekarl
- Department of Oncology and Clinical Cancer Research Center, Aalborg University Hospital, Hobrovej 18-22, Aalborg, DK- 9000, Denmark
- Department of Clinical Medicine, Aalborg University, Sdr. Skovvej 11, Aalborg, DK-9000, Denmark
| | - Aage Knudsen
- Department of Gynecology and Obstetrics, Aalborg University Hospital, Reberbansgade 15, Aalborg, DK-9000, Denmark
- Department of Clinical Medicine, Aalborg University, Sdr. Skovvej 11, Aalborg, DK-9000, Denmark
| | - Helle D Zacho
- Department of Nuclear Medicine and Clinical Cancer Research Center, Aalborg University Hospital, Hobrovej 18- 22, Aalborg, DK-9000, Denmark
- Department of Clinical Medicine, Aalborg University, Sdr. Skovvej 11, Aalborg, DK-9000, Denmark
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Li X, Lv X, Quan Z, Han T, Tang Y, Liu Y, Wang M, Li G, Ye J, Wang J, Lan X, Zhang X, Li M, Liu S, Kang F, Wang J. Surgical evidence-based comparison of [ 68Ga]Ga-FAPI-04 PET and MRI-DWI for assisting debulking surgery in ovarian cancer patients. Eur J Nucl Med Mol Imaging 2024; 51:1773-1785. [PMID: 38197954 DOI: 10.1007/s00259-023-06582-w] [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: 09/04/2023] [Accepted: 12/22/2023] [Indexed: 01/11/2024]
Abstract
PURPOSE Imaging assessment of abdominopelvic tumor burden is crucial for debulking surgery decision in ovarian cancer patients. This study aims to compare the efficiency of [68Ga]Ga-FAPI-04 FAPI PET and MRI-DWI in the preoperative evaluation and its potential impact to debulking surgery decision. METHODS Thirty-six patients with suspected/confirmed ovarian cancer were enrolled and underwent integrated [68Ga]Ga-FAPI-04 PET/MRI. Nineteen patients (15 stage III-IV and 4 I-II stage) who underwent debulking surgery were involved in the diagnostic efficiency analysis. The images of [68Ga]Ga-FAPI-04 PET and MRI-DWI were visually analyzed respectively. Immunohistochemistry on FAP was performed in metastatic lesions to investigate the radiological missing of [68Ga]Ga-FAPI-04 PET as well as its different performance in primary debulking surgery (PDS) and interval debulking surgery (IDS) patients. Potential imaging impact on management was also studied in 35 confirmed ovarian cancer patients. RESULTS [68Ga]Ga-FAPI-04 PET displayed higher sensitivity (76.8% vs.59.9%), higher accuracy (84.9% vs. 80.7%), and lower missing rate (23.2% vs. 40.1%) than MRI-DWI in detecting abdominopelvic metastasis. The diagnostic superiority of [68Ga]Ga-FAPI-04 PET is more obvious in PDS patients but diminished in IDS patients. [68Ga]Ga-FAPI-04 PET outperformed MRI-DWI in 70.8% abdominopelvic regions (17/24), which contained seven key regions that impact the resectability and surgical complexity. MRI-DWI hold advantage in the peritoneal surface of the bladder and the central tendon of the diaphragm. Of the contradictory judgments between the two modalities (14.9%), [68Ga]Ga-FAPI-04 PET correctly identified more lesions, particularly in PDS patients (73.8%). In addition, FAP expression was independent of lesion size and decreased in IDS patients. [68Ga]Ga-FAPI-04 PET changed 42% of surgical planning that was previously based on MRI-DWI. CONCLUSION [68Ga]Ga-FAPI-04 PET is more efficient in assisting debulking surgery in ovarian cancer patients than MRI-DWI. Integrated [68Ga]Ga-FAPI-04 PET/MR imaging is a potential method for planning debulking surgery in ovarian cancer patients.
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Affiliation(s)
- Xiang Li
- Department of Nuclear Medicine, Xijing Hospital, Fourth Military Medical University, Xi'an, Shaanxi, 710032, China
- State Key Laboratory of Holistic Integrative Management of Gastrointestinal Cancers and Department of Nuclear Medicine, Xijing Hospital, Fourth Military Medical University, Xi'an, Shaanxi, 710032, China
| | - Xiaohui Lv
- Department of Gynaecology and Obstetrics, Xijing Hospital, Fourth Military Medical University, Xi'an, Shaanxi, 710032, China
| | - Zhiyong Quan
- Department of Nuclear Medicine, Xijing Hospital, Fourth Military Medical University, Xi'an, Shaanxi, 710032, China
- State Key Laboratory of Holistic Integrative Management of Gastrointestinal Cancers and Department of Nuclear Medicine, Xijing Hospital, Fourth Military Medical University, Xi'an, Shaanxi, 710032, China
| | - Tingting Han
- Department of Nuclear Medicine, Xijing Hospital, Fourth Military Medical University, Xi'an, Shaanxi, 710032, China
- State Key Laboratory of Holistic Integrative Management of Gastrointestinal Cancers and Department of Nuclear Medicine, Xijing Hospital, Fourth Military Medical University, Xi'an, Shaanxi, 710032, China
| | - Yongqiang Tang
- Department of Radiology, Xijing Hospital, Fourth Military Medical University, Xi'an, Shaanxi, 710032, China
| | - Ying Liu
- Department of Gynaecology and Obstetrics, Xijing Hospital, Fourth Military Medical University, Xi'an, Shaanxi, 710032, China
| | - Mengxin Wang
- Department of Gynaecology and Obstetrics, Xijing Hospital, Fourth Military Medical University, Xi'an, Shaanxi, 710032, China
| | - Guiyu Li
- Department of Nuclear Medicine, Xijing Hospital, Fourth Military Medical University, Xi'an, Shaanxi, 710032, China
- State Key Laboratory of Holistic Integrative Management of Gastrointestinal Cancers and Department of Nuclear Medicine, Xijing Hospital, Fourth Military Medical University, Xi'an, Shaanxi, 710032, China
| | - Jiajun Ye
- Department of Nuclear Medicine, Xijing Hospital, Fourth Military Medical University, Xi'an, Shaanxi, 710032, China
- State Key Laboratory of Holistic Integrative Management of Gastrointestinal Cancers and Department of Nuclear Medicine, Xijing Hospital, Fourth Military Medical University, Xi'an, Shaanxi, 710032, China
| | - Jingyi Wang
- Department of Nuclear Medicine, Xijing Hospital, Fourth Military Medical University, Xi'an, Shaanxi, 710032, China
- State Key Laboratory of Holistic Integrative Management of Gastrointestinal Cancers and Department of Nuclear Medicine, Xijing Hospital, Fourth Military Medical University, Xi'an, Shaanxi, 710032, China
| | - Xiaoli Lan
- Department of Nuclear Medicine, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430022, China
| | - Xiao Zhang
- Department of Nuclear Medicine, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430022, China
| | - Mengting Li
- Department of Nuclear Medicine, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430022, China
| | - Shujuan Liu
- Department of Gynaecology and Obstetrics, Xijing Hospital, Fourth Military Medical University, Xi'an, Shaanxi, 710032, China.
| | - Fei Kang
- Department of Nuclear Medicine, Xijing Hospital, Fourth Military Medical University, Xi'an, Shaanxi, 710032, China.
- State Key Laboratory of Holistic Integrative Management of Gastrointestinal Cancers and Department of Nuclear Medicine, Xijing Hospital, Fourth Military Medical University, Xi'an, Shaanxi, 710032, China.
| | - Jing Wang
- Department of Nuclear Medicine, Xijing Hospital, Fourth Military Medical University, Xi'an, Shaanxi, 710032, China.
- State Key Laboratory of Holistic Integrative Management of Gastrointestinal Cancers and Department of Nuclear Medicine, Xijing Hospital, Fourth Military Medical University, Xi'an, Shaanxi, 710032, China.
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Li J, Zhang J, Wang F, Ma J, Cui S, Ye Z. CT-Based Radiomics for the Preoperative Prediction of Occult Peritoneal Metastasis in Epithelial Ovarian Cancers. Acad Radiol 2024; 31:1918-1930. [PMID: 38072725 DOI: 10.1016/j.acra.2023.11.032] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/14/2023] [Revised: 11/19/2023] [Accepted: 11/21/2023] [Indexed: 05/12/2024]
Abstract
RATIONALE AND OBJECTIVES The objective of this study was to develop a comprehensive combined model for predicting occult peritoneal metastasis (OPM) in epithelial ovarian cancers (EOCs) using radiomics features derived from computed tomography (CT) and clinical-radiological predictors. MATERIALS AND METHODS A total of 224 patients with EOCs were randomly divided into training dataset (N = 156) and test dataset (N = 86). Five clinical factors and seven radiological features were collected. The radiomics features were extracted from CT images of each patient. Multivariate logistic regression was employed to construct clinical and radiological models. The correlation analysis and least absolute shrinkage and selection operator algorithm were used to select radiomics features and build radiomics model. The important clinical, radiological factors, and radiomics features were integrated into a combined model by multivariate logistic regression. Receiver operating characteristics curve with area under the curve (AUC) were used to evaluate and compare predictive performance. RESULTS Carbohydrate antigen 125 (CA-125) and human epididymal protein 4 (HE-4) were independent clinical predictors. Laterality, thickened septa and margin were independent radiological predictors. In the training dataset, the AUCs for the clinical, radiological and radiomics models in evaluating OPM were 0.759, 0.819, and 0.830, respectively. In the test dataset, the AUCs for these models were 0.846, 0.835, and 0.779, respectively. The combined model outperformed other models in both the training and the test datasets with AUCs of 0.901 and 0.912, respectively. Decision curve analysis indicated that the combined model yielded a higher net benefit compared to the other models. CONCLUSION The combined model, integrating radiomics features with clinical and radiological predictors exhibited improved accuracy in predicting OPM in EOCs.
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Affiliation(s)
- Jiaojiao Li
- Department of Radiology, First Affiliated Hospital of Hebei North University, Zhangjiakou 075000, China (J.L., S.C.); Department of Radiology, National Clinical Research Center for Cancer, Tianjin Key Laboratory of Cancer Prevention and Therapy, Tianjin's Clinical Research Center for Cancer, Tianjin Medical University Cancer Institute and Hospital, Tianjin 300060, China (J.L., J.Z., F.W., J.M., Z.Y.)
| | - Jianing Zhang
- Department of Radiology, National Clinical Research Center for Cancer, Tianjin Key Laboratory of Cancer Prevention and Therapy, Tianjin's Clinical Research Center for Cancer, Tianjin Medical University Cancer Institute and Hospital, Tianjin 300060, China (J.L., J.Z., F.W., J.M., Z.Y.)
| | - Fang Wang
- Department of Radiology, National Clinical Research Center for Cancer, Tianjin Key Laboratory of Cancer Prevention and Therapy, Tianjin's Clinical Research Center for Cancer, Tianjin Medical University Cancer Institute and Hospital, Tianjin 300060, China (J.L., J.Z., F.W., J.M., Z.Y.)
| | - Juanwei Ma
- Department of Radiology, National Clinical Research Center for Cancer, Tianjin Key Laboratory of Cancer Prevention and Therapy, Tianjin's Clinical Research Center for Cancer, Tianjin Medical University Cancer Institute and Hospital, Tianjin 300060, China (J.L., J.Z., F.W., J.M., Z.Y.)
| | - Shujun Cui
- Department of Radiology, First Affiliated Hospital of Hebei North University, Zhangjiakou 075000, China (J.L., S.C.)
| | - Zhaoxiang Ye
- Department of Radiology, National Clinical Research Center for Cancer, Tianjin Key Laboratory of Cancer Prevention and Therapy, Tianjin's Clinical Research Center for Cancer, Tianjin Medical University Cancer Institute and Hospital, Tianjin 300060, China (J.L., J.Z., F.W., J.M., Z.Y.).
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8
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Rijsemus CJV, Kok NFM, Aalbers AGJ, Grotenhuis BA, Berardi E, Snaebjornsson P, Lambregts DMJ, Beets-Tan RGH, Lahaye MJ. Investigating locations of recurrences with MRI after CRS-HIPEC for colorectal peritoneal metastases. Eur J Radiol 2024; 175:111478. [PMID: 38677041 DOI: 10.1016/j.ejrad.2024.111478] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/08/2023] [Revised: 03/13/2024] [Accepted: 04/21/2024] [Indexed: 04/29/2024]
Abstract
PURPOSE Patients with colorectal peritoneal metastases (PM) treated with cytoreductive surgery (CRS) and hyperthermic intraperitoneal chemotherapy (HIPEC) are at high risk of recurrent disease. Understanding where and why recurrences occur is the first step in finding solutions to reduce recurrence rates. Although diffusion-weighted (DW) MRI is not routinely used in the follow-up of CRC patients, it has a clear advantage over CT in detecting the location and spread of (recurrent) PM. This study aimed to identify common locations of recurrence in CRC patients after CRS-HIPEC with MRI. METHOD This was a single-centre retrospective study of patients with recurrent PM after CRS-HIPEC performed between January 2016 and August 2020. Patients were eligible for inclusion if they had both an MRI preoperatively (MRI1) and at the time of recurrent disease (MRI2). Two abdominal radiologists reviewed in consensus and categorized recurrences according to their location on MRI2 and in correlation with previous disease location on prior imaging (MRI1) and the surgical report of the CRS-HIPEC. RESULTS Thirty patients were included, with a median surgical PCI of 7 (range 3-21) at the time of primary CRS-HIPEC. In total, 68 recurrent metastases were detected on MRI2, of which 14 were extra-peritoneal. Of the remaining 54 PM, 42 (78%) occurred where the peritoneum was damaged due to earlier resections or other surgical procedures (e.g. inserted surgical abdominal drains). Most recurrent metastases were found in the mesentery, lower abdomen/pelvis and abdominal wall (87%). CONCLUSIONS Most recurrent PMs appeared in the mesentery, lower abdomen/pelvis and abdominal wall, especially where the peritoneum was previously damaged.
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Affiliation(s)
- C J V Rijsemus
- Department of Radiology, Netherlands Cancer Institute, Plesmanlaan 121 1066CX, Amsterdam, the Netherlands; Department of Surgery, Netherlands Cancer Institute, Plesmanlaan 121 1066CX, Amsterdam, the Netherlands; GROW School for Oncology and Developmental Biology - University of Maastricht, Maastricht, the Netherlands.
| | - N F M Kok
- Department of Surgery, Netherlands Cancer Institute, Plesmanlaan 121 1066CX, Amsterdam, the Netherlands
| | - A G J Aalbers
- Department of Surgery, Netherlands Cancer Institute, Plesmanlaan 121 1066CX, Amsterdam, the Netherlands
| | - B A Grotenhuis
- Department of Surgery, Netherlands Cancer Institute, Plesmanlaan 121 1066CX, Amsterdam, the Netherlands
| | - E Berardi
- Department of Radiology, Netherlands Cancer Institute, Plesmanlaan 121 1066CX, Amsterdam, the Netherlands
| | - P Snaebjornsson
- Department of Pathology, Netherlands Cancer Institute, Plesmanlaan 121 1066CX, Amsterdam, the Netherlands; Department of Pathology, Faculty of Medicine - University of Iceland, Reykjavik, Iceland
| | - D M J Lambregts
- Department of Radiology, Netherlands Cancer Institute, Plesmanlaan 121 1066CX, Amsterdam, the Netherlands
| | - R G H Beets-Tan
- Department of Radiology, Netherlands Cancer Institute, Plesmanlaan 121 1066CX, Amsterdam, the Netherlands; GROW School for Oncology and Developmental Biology - University of Maastricht, Maastricht, the Netherlands
| | - M J Lahaye
- Department of Radiology, Netherlands Cancer Institute, Plesmanlaan 121 1066CX, Amsterdam, the Netherlands
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9
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Li P, Li Z, Linghu E, Ji J. Chinese national clinical practice guidelines on the prevention, diagnosis, and treatment of early gastric cancer. Chin Med J (Engl) 2024; 137:887-908. [PMID: 38515297 PMCID: PMC11046028 DOI: 10.1097/cm9.0000000000003101] [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: 04/17/2023] [Indexed: 03/23/2024] Open
Abstract
BACKGROUND Gastric cancer is one of the most common malignant tumors in the digestive system in China. Few comprehensive practice guidelines for early gastric cancer in China are currently available. Therefore, we created the Chinese national clinical practice guideline for the prevention, diagnosis, and treatment of early gastric cancer. METHODS This clinical practice guideline (CPG) was developed in accordance with the World Health Organization's recommended process and with the Grading of Recommendations Assessment, Development, and Evaluation (GRADE) in assessing evidence quality. We used the Evidence to Decision framework to formulate clinical recommendations to minimize bias and increase transparency in the CPG development process. We used the Reporting Items for practice Guidelines in HealThcare (RIGHT) statement and the Appraisal of Guidelines for Research and Evaluation II (AGREE II) as reporting and conduct guidelines to ensure completeness and transparency of the CPG. RESULTS This CPG contains 40 recommendations regarding the prevention, screening, diagnosis, treatment, and follow-up of early gastric cancer based on available clinical studies and guidelines. We provide recommendations for the timing of Helicobacter pylori eradication, screening populations for early gastric cancer, indications for endoscopic resection and surgical gastrectomy, follow-up interval after treatment, and other recommendations. CONCLUSIONS This CPG can lead to optimum care for patients and populations by providing up-to-date medical information. We intend this CPG for widespread adoption to increase the standard of prevention, screening, diagnosis, treatment, and follow-up of early gastric cancer; thereby, contributing to improving national health care and patient quality of life.
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Affiliation(s)
- Peng Li
- Department of Gastroenterology, Beijing Friendship Hospital, Capital Medical University, National Clinical Research Center for Digestive Disease, Beijing 100050, China
| | - Ziyu Li
- Department of Gastrointestinal Surgery, Key Laboratory of Carcinogenesis and Translational Research (Ministry of Education), Peking University Cancer Hospital and Institute, Beijing 100142, China
| | - Enqiang Linghu
- Department of Gastroenterology and Hepatology, the First Medical Center, Chinese People’s Liberation Army General Hospital, Beijing 100853, China
| | - Jiafu Ji
- Department of Gastrointestinal Surgery, Key Laboratory of Carcinogenesis and Translational Research (Ministry of Education), Peking University Cancer Hospital and Institute, Beijing 100142, China
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10
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Tsili AC, Alexiou G, Tzoumpa M, Siempis T, Argyropoulou MI. Imaging of Peritoneal Metastases in Ovarian Cancer Using MDCT, MRI, and FDG PET/CT: A Systematic Review and Meta-Analysis. Cancers (Basel) 2024; 16:1467. [PMID: 38672549 PMCID: PMC11048266 DOI: 10.3390/cancers16081467] [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: 02/07/2024] [Revised: 04/05/2024] [Accepted: 04/06/2024] [Indexed: 04/28/2024] Open
Abstract
This review aims to compare the diagnostic performance of multidetector CT (MDCT), MRI, including diffusion-weighted imaging, and FDG PET/CT in the detection of peritoneal metastases (PMs) in ovarian cancer (OC). A comprehensive search was performed for articles published from 2000 to February 2023. The inclusion criteria were the following: diagnosis/suspicion of PMs in patients with ovarian/fallopian/primary peritoneal cancer; initial staging or suspicion of recurrence; MDCT, MRI and/or FDG PET/CT performed for the detection of PMs; population of at least 10 patients; surgical results, histopathologic analysis, and/or radiologic follow-up, used as reference standard; and per-patient and per-region data and data for calculating sensitivity and specificity reported. In total, 33 studies were assessed, including 487 women with OC and PMs. On a per-patient basis, MRI (p = 0.03) and FDG PET/CT (p < 0.01) had higher sensitivity compared to MDCT. MRI and PET/CT had comparable sensitivities (p = 0.84). On a per-lesion analysis, no differences in sensitivity estimates were noted between MDCT and MRI (p = 0.25), MDCT and FDG PET/CT (p = 0.68), and MRI and FDG PET/CT (p = 0.35). Based on our results, FDG PET/CT and MRI are the preferred imaging modalities for the detection of PMs in OC. However, the value of FDG PET/CT and MRI compared to MDCT needs to be determined. Future research to address the limitations of the existing studies and the need for standardization and to explore the cost-effectiveness of the three imaging modalities is required.
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Affiliation(s)
- Athina C. Tsili
- Department of Clinical Radiology, Faculty of Medicine, School of Health Sciences, University of Ioannina, University Campus, 45110 Ioannina, Greece; (M.T.); (M.I.A.)
| | - George Alexiou
- Department of Neurosurgery, Faculty of Medicine, School of Health Sciences, University of Ioannina, University Campus, 45110 Ioannina, Greece;
| | - Martha Tzoumpa
- Department of Clinical Radiology, Faculty of Medicine, School of Health Sciences, University of Ioannina, University Campus, 45110 Ioannina, Greece; (M.T.); (M.I.A.)
| | - Timoleon Siempis
- ENT Department, Ulster Hospital, Upper Newtownards Rd., Dundonald, Belfast BT16 1RH, UK;
| | - Maria I. Argyropoulou
- Department of Clinical Radiology, Faculty of Medicine, School of Health Sciences, University of Ioannina, University Campus, 45110 Ioannina, Greece; (M.T.); (M.I.A.)
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11
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Shah R, Gangi A. Role of Cytoreductive Surgery and Hyperthermic Intraperitoneal Chemotherapy in the Management of Colorectal Peritoneal Metastases. Clin Colon Rectal Surg 2024; 37:90-95. [PMID: 38322605 PMCID: PMC10843886 DOI: 10.1055/s-0042-1758759] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/08/2024]
Abstract
Peritoneal metastases from colon cancer are a particularly challenging disease process given the limited response to systemic chemotherapy. In patients with isolated peritoneal metastases, cytoreductive surgery with hyperthermic intraperitoneal chemotherapy offers a potential treatment option to these patients with limited peritoneal metastases as long as a complete cytoreduction is achieved. Decision about a patient's candidacy for this treatment modality should be undertaken by a multidisciplinary group at expert centers.
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Affiliation(s)
- Rupen Shah
- Division of Surgical Oncology, Henry Ford Cancer Institute/Henry Ford Health, Detroit, Michigan
| | - Alexandra Gangi
- Division of Surgical Oncology, Cedars Sinai Medical Center, Los Angeles, California
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12
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Willemse JRJ, Lahaye MJ, Kok NFM, Grotenhuis BA, Aalbers AGJ, Beets GL, Rijsemus C, Maas M, van Golen LW, Beets-Tan RGH, Lambregts DMJ. Whole-body MRI with diffusion-weighted imaging as an adjunct to 18 F-fluorodeoxyglucose positron emission tomography and CT in patients with suspected recurrent colorectal cancer. Colorectal Dis 2024; 26:290-299. [PMID: 38145899 DOI: 10.1111/codi.16840] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/31/2023] [Revised: 11/14/2023] [Accepted: 11/20/2023] [Indexed: 12/27/2023]
Abstract
AIM The aim was to explore how findings of whole-body MRI including diffusion-weighted imaging (DW-MRI) compared to the routine diagnostic workup with CT and/or 18 F-fluorodeoxyglucose (FDG) positron emission tomography (PET)/CT in patients with suspected recurrent colorectal cancer (CRC). METHOD This was an exploratory retrospective analysis of 55 patients with a clinical suspicion of recurrent CRC who underwent DW-MRI following CT and/or FDG-PET/CT. Two readers in consensus interpreted all clinical imaging reports and converted each described lesion into a confidence score (1 = definitely benign to 5 = definitely malignant). DW-MRI findings were compared to the most recent previous CT or PET/CT. Any discrepant or additional DW-MRI findings were documented and compared with histology and/or clinical follow-up (if available). RESULTS Whole-body MRI including diffusion-weighted imaging (DW-MRI) resulted in discrepant/additional findings in 26/55 (47%) cases; 23/37 (62%) compared to previous CT and 3/18 (17%) compared to previous PET/CT. These included 10 cases where DW-MRI converted previously inconclusive CT (n = 8) or PET/CT (n = 2) findings into a conclusive diagnosis, one where it contradicted a previous CT diagnosis of recurrence, five where DW-MRI diagnosed recurrent disease not previously reported on CT and 10 cases where DW-MRI detected additional lesions compared to CT (n = 9) or PET/CT (n = 1). Eighty-eight per cent of cases with discrepant/additional findings concerned patients with recurrent/metachronous peritoneal metastases. In total, DW-MRI resulted in 42 discrepant/additional lesions; the DW-MRI diagnosis was correct in 76% of these lesions and incorrect (false positive) in 7%. In the remaining 17%, no standard of reference was available. CONCLUSIONS This explorative study suggests that DW-MRI may be of added value to patients with a clinical suspicion for recurrent CRC, in particular to identify patients with peritoneal metastases. DW-MRI mainly has potential as a 'problem-solver' in patients with inconclusive or negative findings on previous imaging (in particular CT) and to detect additional disease sites in patients already diagnosed with recurrent disease.
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Affiliation(s)
- Jeroen R J Willemse
- Department of Radiology, Netherlands Cancer Institute, Amsterdam, The Netherlands
- GROW School for Oncology and Reproduction, Maastricht University, Maastricht, The Netherlands
| | - Max J Lahaye
- Department of Radiology, Netherlands Cancer Institute, Amsterdam, The Netherlands
- GROW School for Oncology and Reproduction, Maastricht University, Maastricht, The Netherlands
| | - Niels F M Kok
- Department of Surgical Oncology, Netherlands Cancer Institute, Amsterdam, The Netherlands
| | - Brechtje A Grotenhuis
- Department of Surgical Oncology, Netherlands Cancer Institute, Amsterdam, The Netherlands
| | - Arend G J Aalbers
- Department of Surgical Oncology, Netherlands Cancer Institute, Amsterdam, The Netherlands
| | - Geerard L Beets
- GROW School for Oncology and Reproduction, Maastricht University, Maastricht, The Netherlands
- Department of Surgical Oncology, Netherlands Cancer Institute, Amsterdam, The Netherlands
| | - Charlotte Rijsemus
- Department of Radiology, Netherlands Cancer Institute, Amsterdam, The Netherlands
- GROW School for Oncology and Reproduction, Maastricht University, Maastricht, The Netherlands
- Department of Surgical Oncology, Netherlands Cancer Institute, Amsterdam, The Netherlands
| | - Monique Maas
- Department of Radiology, Netherlands Cancer Institute, Amsterdam, The Netherlands
- GROW School for Oncology and Reproduction, Maastricht University, Maastricht, The Netherlands
| | - Larissa W van Golen
- Department of Nuclear Medicine, Netherlands Cancer Institute, Amsterdam, The Netherlands
| | - Regina G H Beets-Tan
- Department of Radiology, Netherlands Cancer Institute, Amsterdam, The Netherlands
- GROW School for Oncology and Reproduction, Maastricht University, Maastricht, The Netherlands
| | - Doenja M J Lambregts
- Department of Radiology, Netherlands Cancer Institute, Amsterdam, The Netherlands
- GROW School for Oncology and Reproduction, Maastricht University, Maastricht, The Netherlands
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Fu C, Zhang B, Guo T, Li J. Imaging Evaluation of Peritoneal Metastasis: Current and Promising Techniques. Korean J Radiol 2024; 25:86-102. [PMID: 38184772 PMCID: PMC10788608 DOI: 10.3348/kjr.2023.0840] [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: 06/22/2023] [Revised: 09/28/2023] [Accepted: 10/08/2023] [Indexed: 01/08/2024] Open
Abstract
Early diagnosis, accurate assessment, and localization of peritoneal metastasis (PM) are essential for the selection of appropriate treatments and surgical guidance. However, available imaging modalities (computed tomography [CT], conventional magnetic resonance imaging [MRI], and 18fluorodeoxyglucose positron emission tomography [PET]/CT) have limitations. The advent of new imaging techniques and novel molecular imaging agents have revealed molecular processes in the tumor microenvironment as an application for the early diagnosis and assessment of PM as well as real-time guided surgical resection, which has changed clinical management. In contrast to clinical imaging, which is purely qualitative and subjective for interpreting macroscopic structures, radiomics and artificial intelligence (AI) capitalize on high-dimensional numerical data from images that may reflect tumor pathophysiology. A predictive model can be used to predict the occurrence, recurrence, and prognosis of PM, thereby avoiding unnecessary exploratory surgeries. This review summarizes the role and status of different imaging techniques, especially new imaging strategies such as spectral photon-counting CT, fibroblast activation protein inhibitor (FAPI) PET/CT, near-infrared fluorescence imaging, and PET/MRI, for early diagnosis, assessment of surgical indications, and recurrence monitoring in patients with PM. The clinical applications, limitations, and solutions for fluorescence imaging, radiomics, and AI are also discussed.
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Affiliation(s)
- Chen Fu
- The First School of Clinical Medical, Gansu University of Chinese Medicine, Lanzhou, Gansu, China
| | - Bangxing Zhang
- School of Clinical Medicine, Ningxia Medical University, Yinchuan, Ningxia, China
| | - Tiankang Guo
- Department of General Surgery, Gansu Provincial Hospital, Lanzhou, Gansu, China
- Key Laboratory of Molecular Diagnostics and Precision Medicine for Surgical Oncology in Gansu Province, Gansu Provincial Hospital, Gansu, China
- NHC Key Laboratory of Diagnosis and Therapy of Gastrointestinal Tumor, Gansu Provincial Hospital, Lanzhou, Gansu, China
| | - Junliang Li
- The First School of Clinical Medical, Gansu University of Chinese Medicine, Lanzhou, Gansu, China
- Department of General Surgery, Gansu Provincial Hospital, Lanzhou, Gansu, China
- Key Laboratory of Molecular Diagnostics and Precision Medicine for Surgical Oncology in Gansu Province, Gansu Provincial Hospital, Gansu, China
- NHC Key Laboratory of Diagnosis and Therapy of Gastrointestinal Tumor, Gansu Provincial Hospital, Lanzhou, Gansu, China.
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Luis Alcázar J, Ramón Pérez-Vidal J, Tameish S, Chacón E, Manzour N, Ángel Mínguez J. Ultrasound for assessing tumor spread in ovarian cancer. A systematic review of the literature and meta-analysis. Eur J Obstet Gynecol Reprod Biol 2024; 292:194-200. [PMID: 38042117 DOI: 10.1016/j.ejogrb.2023.11.017] [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: 07/12/2023] [Revised: 11/07/2023] [Accepted: 11/14/2023] [Indexed: 12/04/2023]
Abstract
In this review, we aimed to assess the diagnostic performance of ultrasound for assessing the tumor spread in the abdomen in women with ovarian cancer. A search for studies evaluating the role of ultrasound for assessing intrabdominal tumor spread in women with ovarian cancer compared to surgery from January 2011 to March 2023 was performed in PubMed/MEDLINE, Web of Science, and Scopus databases. The Quality Assessment of Diagnostic Accuracy Studies 2 evaluated the quality of the studies (QUADAS-2). All analyses were performed using MIDAS and METANDI commands in STATA 12.0 software. We identified 1552 citations. After exclusions, five studies comprising 822 women were included. Quality of studies were considered as good, except for patient selection as all studies were considered as having high risk of bias. The pooled sensitivity and specificity could be calculated for three anatomical areas (recto-sigma, major omentum and root of mesentery) and the presence of ascites. The pooled sensitivity and specificity for detecting disease in the recto-sigma, major omentum and root of mesentery were 0.83 and 0.95, 0.87 and 0.87, and 0.29 and 0.99, respectively. The pooled sensitivity and specificity for detecting ascites was 0.95 and 0.91, respectively. There is evidence that ultrasound offers good diagnostic performance for evaluating the intra-abdominal extent of disease in women with suspected ovarian cancer.
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Affiliation(s)
- Juan Luis Alcázar
- Department of Obstetrics and Gynecology, Clinica Universidad de Navarra, 31008 Pamplona, Spain.
| | - Juan Ramón Pérez-Vidal
- Department Obstetrics and Gynecology, University Hospital Virgen de la Arrixaca, 31120 El Palmar, Murcia, Spain
| | - Sarah Tameish
- Department of Obstetrics and Gynecology, University Hospital Sant Joan, 43204 Reus, Spain
| | - Enrique Chacón
- Department of Obstetrics and Gynecology, Clinica Universidad de Navarra, 31008 Pamplona, Spain
| | - Nabil Manzour
- Department of Obstetrics and Gynecology, Clinica Universidad de Navarra, 31008 Pamplona, Spain
| | - José Ángel Mínguez
- Department of Obstetrics and Gynecology, Clinica Universidad de Navarra, 31008 Pamplona, Spain
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Wei M, Zhang Y, Ding C, Jia J, Xu H, Dai Y, Feng G, Qin C, Bai G, Chen S, Wang H. Associating Peritoneal Metastasis With T2-Weighted MRI Images in Epithelial Ovarian Cancer Using Deep Learning and Radiomics: A Multicenter Study. J Magn Reson Imaging 2024; 59:122-131. [PMID: 37134000 DOI: 10.1002/jmri.28761] [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: 03/16/2023] [Revised: 04/19/2023] [Accepted: 04/19/2023] [Indexed: 05/04/2023] Open
Abstract
BACKGROUND The preoperative diagnosis of peritoneal metastasis (PM) in epithelial ovarian cancer (EOC) is challenging and can impact clinical decision-making. PURPOSE To investigate the performance of T2 -weighted (T2W) MRI-based deep learning (DL) and radiomics methods for PM evaluation in EOC patients. STUDY TYPE Retrospective. POPULATION Four hundred seventy-nine patients from five centers, including one training set (N = 297 [mean, 54.87 years]), one internal validation set (N = 75 [mean, 56.67 years]), and two external validation sets (N = 53 [mean, 55.58 years] and N = 54 [mean, 58.22 years]). FIELD STRENGTH/SEQUENCE 1.5 or 3 T/fat-suppression T2W fast or turbo spin-echo sequence. ASSESSMENT ResNet-50 was used as the architecture of DL. The largest orthogonal slices of the tumor area, radiomics features, and clinical characteristics were used to construct the DL, radiomics, and clinical models, respectively. The three models were combined using decision-level fusion to create an ensemble model. Diagnostic performances of radiologists and radiology residents with and without model assistance were evaluated. STATISTICAL TESTS Receiver operating characteristic analysis was used to assess the performances of models. The McNemar test was used to compare sensitivity and specificity. A two-tailed P < 0.05 was considered significant. RESULTS The ensemble model had the best AUCs, outperforming the DL model (0.844 vs. 0.743, internal validation set; 0.859 vs. 0.737, external validation set I) and clinical model (0.872 vs. 0.730, external validation set II). After model assistance, all readers had significantly improved sensitivity, especially for those with less experience (junior radiologist1, from 0.639 to 0.820; junior radiologist2, from 0.689 to 0.803; resident1, from 0.623 to 0.803; resident2, from 0.541 to 0.738). One resident also had significantly improved specificity (from 0.633 to 0.789). DATA CONCLUSIONS T2W MRI-based DL and radiomics approaches have the potential to preoperatively predict PM in EOC patients and assist in clinical decision-making. EVIDENCE LEVEL 4 TECHNICAL EFFICACY: Stage 2.
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Affiliation(s)
- Mingxiang Wei
- Department of Radiology, The Affiliated Suzhou Hospital of Nanjing Medical University, Gusu School, Nanjing Medical University, Suzhou, Jiangsu, China
| | - Yu Zhang
- Department of Radiology, Dushu Lake Hospital Affiliated to Soochow University, Suzhou, Jiangsu, China
| | - Cong Ding
- Department of Radiology, The Affiliated Huaian No. 1 People's Hospital of Nanjing Medical University, Huaian, Jiangsu, China
| | - Jianye Jia
- Department of Radiology, The Affiliated Huaian No. 1 People's Hospital of Nanjing Medical University, Huaian, Jiangsu, China
| | - Haimin Xu
- Department of Radiology, Dushu Lake Hospital Affiliated to Soochow University, Suzhou, Jiangsu, China
| | - Yao Dai
- Department of Radiology, The First Affiliated Hospital of Soochow University, Suzhou, Jiangsu, China
| | - Guannan Feng
- Department of Gynecology, The Affiliated Suzhou Hospital of Nanjing Medical University, Gusu School, Nanjing Medical University, Suzhou, Jiangsu, China
| | - Cai Qin
- Department of Radiology, Tumor Hospital Affiliated to Nantong University, Nantong, Jiangsu, China
| | - Genji Bai
- Department of Radiology, The Affiliated Huaian No. 1 People's Hospital of Nanjing Medical University, Huaian, Jiangsu, China
| | - Shuangqing Chen
- Department of Radiology, The Affiliated Suzhou Hospital of Nanjing Medical University, Gusu School, Nanjing Medical University, Suzhou, Jiangsu, China
| | - Hong Wang
- Department of Radiology, The Affiliated Suzhou Hospital of Nanjing Medical University, Gusu School, Nanjing Medical University, Suzhou, Jiangsu, China
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Leng Y, Li S, Zhu J, Wang X, Luo F, Wang Y, Gong L. Application of medical imaging in ovarian cancer: a bibliometric analysis from 2000 to 2022. Front Oncol 2023; 13:1326297. [PMID: 38111527 PMCID: PMC10725957 DOI: 10.3389/fonc.2023.1326297] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/23/2023] [Accepted: 11/14/2023] [Indexed: 12/20/2023] Open
Abstract
Background Ovarian cancer (OC) is the most lethal tumor within the female reproductive system. Medical imaging plays a significant role in diagnosis and monitoring OC. This study aims to use bibliometric analysis to explore the current research hotspots and collaborative networks in the application of medical imaging in OC from 2000 to 2022. Methods A systematica search for medical imaging in OC was conducted on the Web of Science Core Collection on August 9, 2023. All reviews and articles published from January 2000 to December 2022 were downloaded, and an analysis of countries, institutions, journals, keywords, and collaborative networks was perfomed using CiteSpace and VOSviewer. Results A total of 5,958 publications were obtained, demonstrating a clear upward trend in annual publications over the study peroid. The USA led in productivity with 1,373 publications, and Harvard University emerged as the most prominent institution with 202 publications. Timmerman D was the most prolific contributor with 100 publications, and Gynecological Oncology led in the number of publications with 296. The top three keywords were "ovarian cancer" (1,256), "ultrasound" (725), and "diagnosis" (712). In addition, "pelvic masses" had the highest burst strength (25.5), followed by "magnetic resonance imaging (MRI)" (21.47). Recent emergent keywords such as "apoptosis", "nanoparticles", "features", "accuracy", and "human epididymal protein 4 (HE 4)" reflect research trends in this field and may become research hotspots in the future. Conclusion This study provides a comprehensive summary of the key contributions of OC imaging to field's development over the past 23 years. Presently, primary areas of OC imaging research include MRI, targeted therapy of OC, novel biomarker (HE 4), and artificial intelligence. These areas are expected to influence future research endeavors in this field.
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Affiliation(s)
- Yinping Leng
- Department of Radiology, the Second Affiliated Hospital of Nanchang University, Nanchang, China
| | - Shuhao Li
- Department of Radiology, the Second Affiliated Hospital of Nanchang University, Nanchang, China
| | - Jianghua Zhu
- Department of Radiology, the Second Affiliated Hospital of Nanchang University, Nanchang, China
| | - Xiwen Wang
- Department of Radiology, the Second Affiliated Hospital of Nanchang University, Nanchang, China
| | - Fengyuan Luo
- Department of Radiology, the Second Affiliated Hospital of Nanchang University, Nanchang, China
| | - Yu Wang
- Clinical and Technical Support, Philips Healthcare, Shanghai, China
| | - Lianggeng Gong
- Department of Radiology, the Second Affiliated Hospital of Nanchang University, Nanchang, China
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17
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Nehra AK, Dane B, Yeh BM, Fletcher JG, Leng S, Mileto A. Dual-Energy, Spectral and Photon Counting Computed Tomography for Evaluation of the Gastrointestinal Tract. Radiol Clin North Am 2023; 61:1031-1049. [PMID: 37758355 DOI: 10.1016/j.rcl.2023.06.002] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/03/2023]
Abstract
The use of dual-energy computed tomography (CT) allows for reconstruction of energy- and material-specific image series. The combination of low-energy monochromatic images, iodine maps, and virtual unenhanced images can improve lesion detection and disease characterization in the gastrointestinal tract in comparison with single-energy CT.
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Affiliation(s)
- Avinash K Nehra
- Department of Radiology, Mayo Clinic, 200 First Street Southwest, Rochester, MN 55905, USA.
| | - Bari Dane
- Department of Radiology, New York University Langone Medical Center, 550 First Avenue, New York, NY 10016, USA
| | - Benjamin M Yeh
- Department of Radiology and Biomedical Imaging, University of California, 505 Parnassus Avenue, San Francisco, CA 94143, USA
| | - Joel G Fletcher
- Department of Radiology, Mayo Clinic, 200 First Street Southwest, Rochester, MN 55905, USA
| | - Shuai Leng
- Department of Radiology, Mayo Clinic, 200 First Street Southwest, Rochester, MN 55905, USA
| | - Achille Mileto
- Department of Radiology, Virginia Mason Medical Center, 1100 9th Avenue, Seattle, WA 98101, USA
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18
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Dai J, Wang KX, Wu LY, Bai XH, Shi HY, Xu Q, Yu J. Development of a Nomogram to Predict Postoperative Peritoneal Metastasis of Colon Cancer. J Comput Assist Tomogr 2023; 47:864-872. [PMID: 37948360 DOI: 10.1097/rct.0000000000001500] [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: 07/23/2023]
Abstract
OBJECTIVE The aim of this study was to determine the clinicopathological and radiological risk factors for postoperative peritoneal metastasis and develop a prediction model for the early detection of peritoneal metastasis in patients with colon cancer. METHODS We included 174 patients with colon cancer. The clinicopathological and radiological data were retrospectively analyzed. A Cox proportional hazards regression model was used to identify risk factors for postoperative peritoneal metastasis. Based on these risk factors, a nomogram was developed. RESULTS At a median follow-up of 63 months, 43 (24.7%) patients developed peritoneal metastasis. Six independent risk factors (hazards ratio [95% confidence interval]) were identified for postoperative peritoneal metastasis: abdominopelvic fluid (2.12 [1.02-4.40]; P = 0.04), longer maximum tumor length (1.02 [1.00-1.03]; P = 0.02), pN1 (2.50 [1.13-5.56]; P = 0.02), pN2 (4.45 [1.77-11.17]; P = 0.02), nonadenocarcinoma (2.75 [1.18-6.38]; P = 0.02), and preoperative carcinoembryonic antigen levels ≥5 ng/mL (3.08 [1.50-6.30]; P < 0.01). A clinicopathological-radiological model was developed based on these factors. The model showed good discrimination (concordance index, 0.798 [0.723-0.876]; P < 0.001) and was well-calibrated. CONCLUSIONS The developed clinicopathological-radiological nomogram may assist clinicians in identifying patients at high risk of postoperative peritoneal metastasis.
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Affiliation(s)
- Jie Dai
- From the Department of Radiology, First Affiliated Hospital of Nanjing Medical University, Nanjing, China
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19
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Raoof M, Whelan RL, Sullivan KM, Ruel C, Frankel PH, Cole SE, Tinsley R, Eng M, Fakih M, Chao J, Lim D, Woo Y, Paz IB, Lew M, Cristea M, Rodriguez-Rodriguez L, Fong Y, Thomas RM, Chang S, Deperalta D, Merchea A, Dellinger TH. Safety and Efficacy of Oxaliplatin Pressurized Intraperitoneal Aerosolized Chemotherapy (PIPAC) in Colorectal and Appendiceal Cancer with Peritoneal Metastases: Results of a Multicenter Phase I Trial in the USA. Ann Surg Oncol 2023; 30:7814-7824. [PMID: 37501051 PMCID: PMC10562297 DOI: 10.1245/s10434-023-13941-2] [Citation(s) in RCA: 7] [Impact Index Per Article: 7.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/28/2023] [Accepted: 06/28/2023] [Indexed: 07/29/2023]
Abstract
BACKGROUND Pressurized intraperitoneal aerosolized chemotherapy (PIPAC) is a laparoscopic locoregional treatment for peritoneal metastases (PM) from colorectal cancer (CRC) or appendiceal cancer (AC) in patients who cannot undergo cytoreductive surgery (CRS). While PIPAC has been studied in Europe and Asia, it has not been investigated in the USA. PATIENTS AND METHODS We evaluated PIPAC with 90 mg/m2 oxaliplatin alone (cycle 1) and preceded by systemic chemotherapy with fluorouracil (5-FU) and leucovorin (LV) (cycle 2-3) as a multicenter prospective phase I clinical trial (NCT04329494). The primary endpoint was treatment-related adverse events (AEs). Secondary endpoints included survival and laparoscopic, histologic, and radiographic response. RESULTS 12 patients were included: 8 with CRC and 4 with AC. Median prior chemotherapy cycles was 2 (interquartile range (IQR) 2-3). All patients were refractory to systemic oxaliplatin-based chemotherapy. Median peritoneal carcinomatosis index (PCI) was 28 (IQR 19-32). Six (50%) of twelve patients completed three PIPAC cycles. No surgical complications or dose-limiting toxicities were observed. Two patients developed grade 3 treatment-related toxicities (one abdominal pain and one anemia). Median overall survival (OS) was 12.0 months, and median progression-free survival (PFS) was 2.9 months. OS was correlated with stable disease by Response Evaluation Criteria in Solid Tumors (RECIST) criteria but not with laparoscopic response by PCI or histologic response by peritoneal regression grading system (PRGS). CONCLUSIONS This phase I trial in the USA demonstrated safety, feasibility, and early efficacy signal of PIPAC with oxaliplatin and chemotherapy in patients with PM from AC or CRC who are refractory to standard lines of systemic chemotherapy.
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Affiliation(s)
- Mustafa Raoof
- Department of Surgery, City of Hope National Medical Center, Duarte, CA, USA.
| | | | - Kevin M Sullivan
- Department of Surgery, City of Hope National Medical Center, Duarte, CA, USA
| | - Christopher Ruel
- Department of Computation and Quantitative Medicine, City of Hope National Medical Center, Duarte, CA, USA
| | - Paul H Frankel
- Department of Computation and Quantitative Medicine, City of Hope National Medical Center, Duarte, CA, USA
| | - Sarah E Cole
- Department of Clinical Protocol Development, City of Hope National Medical Center, Duarte, CA, USA
| | - Raechelle Tinsley
- Clinical Trials Office, City of Hope National Medical Center, Duarte, CA, USA
| | - Melissa Eng
- Department of Medical Oncology and Therapeutics Research, City of Hope National Medical Center, Duarte, CA, USA
| | - Marwan Fakih
- Department of Medical Oncology and Therapeutics Research, City of Hope National Medical Center, Duarte, CA, USA
| | - Joseph Chao
- Department of Medical Oncology and Therapeutics Research, City of Hope National Medical Center, Duarte, CA, USA
| | - Dean Lim
- Department of Medical Oncology and Therapeutics Research, City of Hope National Medical Center, Duarte, CA, USA
| | - Yanghee Woo
- Department of Surgery, City of Hope National Medical Center, Duarte, CA, USA
| | - Isaac Benjamin Paz
- Department of Surgery, City of Hope National Medical Center, Duarte, CA, USA
| | - Michael Lew
- Department of Anesthesiology, City of Hope National Medical Center, Duarte, CA, USA
| | - Michaela Cristea
- Department of Medical Oncology and Therapeutics Research, City of Hope National Medical Center, Duarte, CA, USA
| | | | - Yuman Fong
- Department of Surgery, City of Hope National Medical Center, Duarte, CA, USA
| | | | - Sue Chang
- Department of Pathology, City of Hope National Medical Center, Duarte, CA, USA
| | | | - Amit Merchea
- Department of Surgery, Mayo Clinic, Jacksonville, FL, USA.
| | - Thanh H Dellinger
- Department of Surgery, City of Hope National Medical Center, Duarte, CA, USA.
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20
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Li X, Wang L, Guo P, Sun Q, Zhang Y, Chen C, Zhang Y. Diagnostic performance of noninvasive imaging using computed tomography, magnetic resonance imaging, and positron emission tomography for the detection of ovarian cancer: a meta-analysis. Ann Nucl Med 2023; 37:541-550. [PMID: 37422857 DOI: 10.1007/s12149-023-01856-7] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/04/2023] [Accepted: 07/03/2023] [Indexed: 07/11/2023]
Abstract
OBJECTIVE The aim of this meta-analysis was to compare the diagnostic value of noninvasive imaging methods computed tomography (CT), magnetic resonance imaging (MRI), and positron emission tomography (PET) in the detection of ovarian cancer (OC). METHODS PubMed, Embase, and Ovid were comprehensively searched from the date of inception to 31st, March, 2022. Pooled sensitivity, specificity, positive likelihood ratio (+ LR), negative likelihood ratio (- LR), diagnostic odds ratio (DOR), and area under the curve (AUC) of summary receiver operating characteristic (SROC) with their respective 95% confidence intervals (CIs) were calculated. RESULTS Sixty-one articles including 4284 patients met the inclusion criteria of this study. Pooled estimates of sensitivity, specificity, and AUC of SROC with respective 95% CIs of CT on patient level were 0.83 (0.73, 0.90), 0.69 (0.54, 0.81), and 0.84 (0.80, 0.87). The overall sensitivity, specificity, SROC value with respective 95% CIs of MRI were 0.95 (0.91, 0.97),0.81 (0.76, 0.85), and 0.90 (0.87, 0.92) on patient level. Pooled estimates of sensitivity, specificity, SROC value of PET/CT on patient level were 0.92 (0.88, 0.94), 0.88 (0.83, 0.92), and 0.96 (0.94, 0.97). CONCLUSION Noninvasive imaging modalities including CT, MRI, PET (PET/CT, PET/MRI) yielded favorable diagnostic performance in the detection of OC. Hybrid implement of different tools (PET/MRI) is more accurate for identifying metastatic OC.
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Affiliation(s)
- Xiaoxiao Li
- Department of Thoracic Surgery, The First Affiliated Hospital of China Medical University, Shenyang, China
| | - Luqin Wang
- Anhui Precision Medicine Technology Engineering Laboratory, Hefei, China
- Department of Bioinformatics, Precedo Pharmaceuticals Co. Ltd, Hefei, China
| | - Pengfei Guo
- Department of Bioinformatics, Precedo Pharmaceuticals Co. Ltd, Hefei, China
| | - Qiangkun Sun
- Department of Bioinformatics, Precedo Pharmaceuticals Co. Ltd, Hefei, China
| | - Yating Zhang
- Department of Bioinformatics, Precedo Pharmaceuticals Co. Ltd, Hefei, China
| | - Cheng Chen
- Department of Bioinformatics, Precedo Pharmaceuticals Co. Ltd, Hefei, China.
- Institute of Health and Medical Technology, Hefei Institutes of Physical Science, Chinese Academy of Sciences, Hefei, China.
| | - Yulong Zhang
- Anhui Precision Medicine Technology Engineering Laboratory, Hefei, China.
- Department of Bioinformatics, Precedo Pharmaceuticals Co. Ltd, Hefei, China.
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21
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Veron Sanchez A, Bennouna I, Coquelet N, Cabo Bolado J, Pinilla Fernandez I, Mullor Delgado LA, Pezzullo M, Liberale G, Gomez Galdon M, Bali MA. Unravelling Peritoneal Carcinomatosis Using Cross-Sectional Imaging Modalities. Diagnostics (Basel) 2023; 13:2253. [PMID: 37443647 DOI: 10.3390/diagnostics13132253] [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: 05/07/2023] [Revised: 06/28/2023] [Accepted: 06/29/2023] [Indexed: 07/15/2023] Open
Abstract
Peritoneal carcinomatosis (PC) refers to malignant epithelial cells that spread to the peritoneum, principally from abdominal malignancies. Until recently, PC prognosis has been considered ill-fated, with palliative therapies serving as the only treatment option. New locoregional treatments are changing the outcome of PC, and imaging modalities have a critical role in early diagnosis and disease staging, determining treatment decision making strategies. The aim of this review is to provide a practical approach for detecting and characterizing peritoneal deposits in cross-sectional imaging modalities, taking into account their appearances, including the secondary complications, the anatomical characteristics of the peritoneal cavity, together with the differential diagnosis with other benign and malignant peritoneal conditions. Among the cross-sectional imaging modalities, computed tomography (CT) is widely available and fast; however, magnetic resonance (MR) performs better in terms of sensitivity (92% vs. 68%), due to its higher contrast resolution. The appearance of peritoneal deposits on CT and MR mainly depends on the primary tumour histology; in case of unknown primary tumour (3-5% of cases), their behaviour at imaging may provide insights into the tumour origin. The timepoint of tumour evolution, previous or ongoing treatments, and the peritoneal spaces in which they occur also play an important role in determining the appearance of peritoneal deposits. Thus, knowledge of peritoneal anatomy and fluid circulation is essential in the detection and characterisation of peritoneal deposits. Several benign and malignant conditions show similar imaging features that overlap those of PC, making differential diagnosis challenging. Knowledge of peritoneal anatomy and primary tumour histology is crucial, but one must also consider clinical history, laboratory findings, and previous imaging examinations to achieve a correct diagnosis. In conclusion, to correctly diagnose PC in cross-sectional imaging modalities, knowledge of peritoneal anatomy and peritoneal fluid flow characteristics are mandatory. Peritoneal deposit features reflect the primary tumour characteristics, and this specificity may be helpful in its identification when it is unknown. Moreover, several benign and malignant peritoneal conditions may mimic PC, which need to be considered even in oncologic patients.
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Affiliation(s)
- Ana Veron Sanchez
- Hospital Universitaire de Bruxelles, Institut Jules Bordet, 1070 Brussels, Belgium
| | - Ilias Bennouna
- Hospital Universitaire de Bruxelles, Institut Jules Bordet, 1070 Brussels, Belgium
| | - Nicolas Coquelet
- Hospital Universitaire de Bruxelles, Institut Jules Bordet, 1070 Brussels, Belgium
| | | | | | | | - Martina Pezzullo
- Hôpital Universitaire de Bruxelles, Hôpital Erasme, 1070 Brussels, Belgium
| | - Gabriel Liberale
- Hospital Universitaire de Bruxelles, Institut Jules Bordet, 1070 Brussels, Belgium
| | - Maria Gomez Galdon
- Hospital Universitaire de Bruxelles, Institut Jules Bordet, 1070 Brussels, Belgium
| | - Maria A Bali
- Hospital Universitaire de Bruxelles, Institut Jules Bordet, 1070 Brussels, Belgium
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22
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Zhang F, Wu G, Chen N, Li R. The predictive value of radiomics-based machine learning for peritoneal metastasis in gastric cancer patients: a systematic review and meta-analysis. Front Oncol 2023; 13:1196053. [PMID: 37465109 PMCID: PMC10352083 DOI: 10.3389/fonc.2023.1196053] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/29/2023] [Accepted: 06/19/2023] [Indexed: 07/20/2023] Open
Abstract
Background For patients with gastric cancer (GC), effective preoperative identification of peritoneal metastasis (PM) remains a severe challenge in clinical practice. Regrettably, effective early identification tools are still lacking up to now. With the popularization and application of radiomics method in tumor management, some researchers try to introduce it into the early identification of PM in patients with GC. However, due to the complexity of radiomics, the value of radiomics method in the early identification of PM in GC patients remains controversial. Therefore, this systematic review was conducted to explore the feasibility of radiomics in the early identification of PM in GC patients. Methods PubMed, Cochrane, Embase and the Web of Science were comprehensively and systematically searched up to 25 July, 2022 (CRD42022350512). The quality of the included studies was assessed using the radiomics quality score (RQS). To discuss the superiority in diagnostic accuracy of radiomics-based machine learning, a subgroup analysis was performed by machine learning (ML) based on clinical features, radiomics features, and radiomics + clinical features. Results Finally, 11 eligible original studies covering 78 models were included in this systematic review. According to the meta-analysis, the radiomics + clinical features model had a c-index of 0.919 (95% CI: 0.871-0.969), pooled sensitivity and specificity of 0.90 (0.83-0.94) and 0.87 (0.78-0.92), respectively, in the training set, and a c- index of 0.910 (95% CI: 0.886-0.934), pooled sensitivity and specificity of 0.78 (0.71-0.84) and 0.83 (0.74-0.89), respectively, in the validation set. Conclusions The ML methods based on radiomics + clinical features had satisfactory accuracy for the early diagnosis of PM in GC patients, and can be used as an auxiliary diagnostic tool for clinicians. However, the lack of guidelines for the proper operation of radiomics has led to the diversification of radiomics methods, which seems to limit the development of radiomics. Even so, the clinical application value of radiomics cannot be ignored. The standardization of radiomics research is required in the future for the wider application of radiomics by developing intelligent tools of radiomics. Systematic review registration https://www.crd.york.ac.uk/PROSPERO/display_record.php?RecordID=350512, identifier CRD42022350512.
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23
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Reginelli A, Giacobbe G, Del Canto MT, Alessandrella M, Balestrucci G, Urraro F, Russo GM, Gallo L, Danti G, Frittoli B, Stoppino L, Schettini D, Iafrate F, Cappabianca S, Laghi A, Grassi R, Brunese L, Barile A, Miele V. Peritoneal Carcinosis: What the Radiologist Needs to Know. Diagnostics (Basel) 2023; 13:diagnostics13111974. [PMID: 37296826 DOI: 10.3390/diagnostics13111974] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/11/2023] [Revised: 05/17/2023] [Accepted: 05/30/2023] [Indexed: 06/12/2023] Open
Abstract
Peritoneal carcinosis is a condition characterized by the spread of cancer cells to the peritoneum, which is the thin membrane that lines the abdominal cavity. It is a serious condition that can result from many different types of cancer, including ovarian, colon, stomach, pancreatic, and appendix cancer. The diagnosis and quantification of lesions in peritoneal carcinosis are critical in the management of patients with the condition, and imaging plays a central role in this process. Radiologists play a vital role in the multidisciplinary management of patients with peritoneal carcinosis. They need to have a thorough understanding of the pathophysiology of the condition, the underlying neoplasms, and the typical imaging findings. In addition, they need to be aware of the differential diagnoses and the advantages and disadvantages of the various imaging methods available. Imaging plays a central role in the diagnosis and quantification of lesions, and radiologists play a critical role in this process. Ultrasound, computed tomography, magnetic resonance, and PET/CT scans are used to diagnose peritoneal carcinosis. Each imaging procedure has advantages and disadvantages, and particular imaging techniques are recommended based on patient conditions. Our aim is to provide knowledge to radiologists regarding appropriate techniques, imaging findings, differential diagnoses, and treatment options. With the advent of AI in oncology, the future of precision medicine appears promising, and the interconnection between structured reporting and AI is likely to improve diagnostic accuracy and treatment outcomes for patients with peritoneal carcinosis.
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Affiliation(s)
- Alfonso Reginelli
- Department of Precision Medicine, University of Campania "L. Vanvitelli", 80138 Naples, Italy
| | - Giuliana Giacobbe
- General and Emergency Radiology Department, "Antonio Cardarelli" Hospital, 80131 Naples, Italy
| | - Maria Teresa Del Canto
- Department of Precision Medicine, University of Campania "L. Vanvitelli", 80138 Naples, Italy
| | - Marina Alessandrella
- Department of Precision Medicine, University of Campania "L. Vanvitelli", 80138 Naples, Italy
| | - Giovanni Balestrucci
- Department of Precision Medicine, University of Campania "L. Vanvitelli", 80138 Naples, Italy
| | - Fabrizio Urraro
- Department of Precision Medicine, University of Campania "L. Vanvitelli", 80138 Naples, Italy
| | - Gaetano Maria Russo
- Department of Precision Medicine, University of Campania "L. Vanvitelli", 80138 Naples, Italy
| | - Luigi Gallo
- Department of Precision Medicine, University of Campania "L. Vanvitelli", 80138 Naples, Italy
| | - Ginevra Danti
- Department of Radiology, Azienda Ospedaliero-Universitaria Careggi, 50134 Florence, Italy
| | - Barbara Frittoli
- Department of Radiology, Spedali Civili Hospital, 25123 Brescia, Italy
| | - Luca Stoppino
- Department of Radiology, University Hospital of Foggia, 71122 Foggia, Italy
| | - Daria Schettini
- Department of Radiology, Villa Scassi Hospital, Corso Scassi 1, 16121 Genova, Italy
| | - Franco Iafrate
- Department of Radiological, Oncological and Pathological Sciences, Policlinico Umberto I, Sapienza University of Rome, Viale Regina Elena 324, 00161 Rome, Italy
| | - Salvatore Cappabianca
- Department of Precision Medicine, University of Campania "L. Vanvitelli", 80138 Naples, Italy
| | - Andrea Laghi
- Department of Medical Surgical Sciences and Translational Medicine, Sapienza-University of Rome, Radiology Unit-Sant'Andrea University Hospital, 00189 Rome, Italy
| | - Roberto Grassi
- Department of Precision Medicine, University of Campania "L. Vanvitelli", 80138 Naples, Italy
| | - Luca Brunese
- Department of Medicine and Health Sciences "Vincenzo Tiberio", University of Molise, 86100 Campobasso, Italy
| | - Antonio Barile
- Department of Applied Clinical Sciences and Biotechnology, University of L'Aquila, 67100 L'Aquila, Italy
| | - Vittorio Miele
- Department of Translational Research, Diagnostic and Interventional Radiology, University of Pisa, 56126 Pisa, Italy
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24
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Singh H, Klempner SJ, Melnitchouk N, Chander DP, Negrea OG, Patel AK, Schlechter BL, Rubinson DA, Huffman BM, Nambiar C, Remland J, Andrews E, Leahy ME, Brais LK, Enzinger PC, Mamon HJ, Giannakis M, Meyerhardt JA, Ng K, Perez KJ, Aguirre AJ, Clark JW, Cleary JM, Wolpin BM. Highly Sensitive Circulating Tumor DNA Assay Aids Clinical Management of Radiographically Occult Isolated Peritoneal Metastases in Patients With GI Cancer. JCO Precis Oncol 2023; 7:e2200572. [PMID: 37343200 DOI: 10.1200/po.22.00572] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/14/2022] [Revised: 03/09/2023] [Accepted: 05/22/2023] [Indexed: 06/23/2023] Open
Abstract
PURPOSE GI cancers commonly spread to the peritoneal cavity, particularly from primary adenocarcinomas of the stomach and appendix. Peritoneal metastases are difficult to visualize on cross-sectional imaging and cause substantial morbidity and mortality. The purpose of this study was to determine whether serial highly sensitive tumor-informed circulating tumor DNA (ctDNA) measurements could longitudinally track changes in disease burden and inform clinical care. METHODS This was a retrospective case series of patients with gastric or appendiceal adenocarcinoma and isolated peritoneal disease that was radiographically occult. Patients underwent quantitative tumor-informed ctDNA testing (Signatera) as part of routine clinical care. No interventions were prespecified based on ctDNA results. RESULTS Of 13 patients studied, the median age was 65 (range, 45-75) years, with 7 (54%) women, 5 (38%) patients with gastric, and 8 (62%) patients with appendiceal adenocarcinoma. Eight (62%) patients had detectable ctDNA at baseline measurement, with median value 0.13 MTM/mL (range, 0.06-11.68), and assay was technically unsuccessful in two cases with appendiceal cancer because of limited tumor tissue. Five (100%) patients with gastric cancer and 3 (50%) patients with appendiceal cancer had detectable ctDNA at baseline. Although baseline levels of ctDNA were low, longitudinal assessment tracked with changes in disease burden among patients undergoing chemotherapy for metastatic disease. In two patients undergoing surveillance after definitive surgical management of gastric adenocarcinoma, detection of ctDNA prompted diagnosis of isolated peritoneal disease. CONCLUSION Quantitative tumor-informed serial ctDNA testing aids clinical management of patients with isolated peritoneal disease. Low levels of baseline ctDNA suggest a role for highly sensitive ctDNA approaches over panel-based testing. Further exploration of this approach should be considered in patients with isolated peritoneal malignant disease.
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Affiliation(s)
- Harshabad Singh
- Department of Medical Oncology, Dana-Farber Cancer Institute, Boston, MA
- Department of Medicine, Brigham and Women's Hospital, Boston, MA
- Harvard Medical School, Boston, MA
| | - Samuel J Klempner
- Harvard Medical School, Boston, MA
- Massachusetts General Hospital Cancer Center, Boston, MA
| | - Nelya Melnitchouk
- Harvard Medical School, Boston, MA
- Department of Surgery, Brigham and Women's Hospital, Boston, MA
| | - Deepak P Chander
- Dana-Farber Cancer Institute at South Shore Hospital, Weymouth, MA
| | | | - Anuj K Patel
- Department of Medical Oncology, Dana-Farber Cancer Institute, Boston, MA
- Department of Medicine, Brigham and Women's Hospital, Boston, MA
- Harvard Medical School, Boston, MA
| | - Benjamin L Schlechter
- Department of Medical Oncology, Dana-Farber Cancer Institute, Boston, MA
- Department of Medicine, Brigham and Women's Hospital, Boston, MA
- Harvard Medical School, Boston, MA
| | - Douglas A Rubinson
- Department of Medical Oncology, Dana-Farber Cancer Institute, Boston, MA
- Department of Medicine, Brigham and Women's Hospital, Boston, MA
- Harvard Medical School, Boston, MA
| | - Brandon M Huffman
- Department of Medical Oncology, Dana-Farber Cancer Institute, Boston, MA
- Department of Medicine, Brigham and Women's Hospital, Boston, MA
- Harvard Medical School, Boston, MA
| | - Chetan Nambiar
- Department of Medical Oncology, Dana-Farber Cancer Institute, Boston, MA
| | - Joshua Remland
- Department of Medical Oncology, Dana-Farber Cancer Institute, Boston, MA
| | - Elizabeth Andrews
- Department of Medical Oncology, Dana-Farber Cancer Institute, Boston, MA
| | - Megan E Leahy
- Department of Medical Oncology, Dana-Farber Cancer Institute, Boston, MA
| | - Lauren K Brais
- Department of Medical Oncology, Dana-Farber Cancer Institute, Boston, MA
| | - Peter C Enzinger
- Department of Medical Oncology, Dana-Farber Cancer Institute, Boston, MA
- Department of Medicine, Brigham and Women's Hospital, Boston, MA
- Harvard Medical School, Boston, MA
| | - Harvey J Mamon
- Harvard Medical School, Boston, MA
- Department of Radiation Oncology, Dana-Farber Cancer Institute, Boston, MA
| | - Marios Giannakis
- Department of Medical Oncology, Dana-Farber Cancer Institute, Boston, MA
- Department of Medicine, Brigham and Women's Hospital, Boston, MA
- Harvard Medical School, Boston, MA
| | - Jeffrey A Meyerhardt
- Department of Medical Oncology, Dana-Farber Cancer Institute, Boston, MA
- Department of Medicine, Brigham and Women's Hospital, Boston, MA
- Harvard Medical School, Boston, MA
| | - Kimmie Ng
- Department of Medical Oncology, Dana-Farber Cancer Institute, Boston, MA
- Department of Medicine, Brigham and Women's Hospital, Boston, MA
- Harvard Medical School, Boston, MA
| | - Kimberly J Perez
- Department of Medical Oncology, Dana-Farber Cancer Institute, Boston, MA
- Department of Medicine, Brigham and Women's Hospital, Boston, MA
- Harvard Medical School, Boston, MA
| | - Andrew J Aguirre
- Department of Medical Oncology, Dana-Farber Cancer Institute, Boston, MA
- Department of Medicine, Brigham and Women's Hospital, Boston, MA
- Harvard Medical School, Boston, MA
| | - Jeffrey W Clark
- Harvard Medical School, Boston, MA
- Massachusetts General Hospital Cancer Center, Boston, MA
| | - James M Cleary
- Department of Medical Oncology, Dana-Farber Cancer Institute, Boston, MA
- Department of Medicine, Brigham and Women's Hospital, Boston, MA
- Harvard Medical School, Boston, MA
| | - Brian M Wolpin
- Department of Medical Oncology, Dana-Farber Cancer Institute, Boston, MA
- Department of Medicine, Brigham and Women's Hospital, Boston, MA
- Harvard Medical School, Boston, MA
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Triumbari EKA, Rufini V, Mingels C, Rominger A, Alavi A, Fanfani F, Badawi RD, Nardo L. Long Axial Field-of-View PET/CT Could Answer Unmet Needs in Gynecological Cancers. Cancers (Basel) 2023; 15:2407. [PMID: 37173874 PMCID: PMC10177015 DOI: 10.3390/cancers15092407] [Citation(s) in RCA: 6] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/12/2023] [Revised: 04/15/2023] [Accepted: 04/21/2023] [Indexed: 05/15/2023] Open
Abstract
Gynecological malignancies currently affect about 3.5 million women all over the world. Imaging of uterine, cervical, vaginal, ovarian, and vulvar cancer still presents several unmet needs when using conventional modalities such as ultrasound, computed tomography (CT), magnetic resonance, and standard positron emission tomography (PET)/CT. Some of the current diagnostic limitations are represented by differential diagnosis between inflammatory and cancerous findings, detection of peritoneal carcinomatosis and metastases <1 cm, detection of cancer-associated vascular complications, effective assessment of post-therapy changes, as well as bone metabolism and osteoporosis assessment. As a result of recent advances in PET/CT instrumentation, new systems now offer a long-axial field-of-view (LAFOV) to image between 106 cm and 194 cm (i.e., total-body PET) of the patient's body simultaneously and feature higher physical sensitivity and spatial resolution compared to standard PET/CT systems. LAFOV PET could overcome the forementioned limitations of conventional imaging and provide valuable global disease assessment, allowing for improved patient-tailored care. This article provides a comprehensive overview of these and other potential applications of LAFOV PET/CT imaging for patients with gynecological malignancies.
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Affiliation(s)
- Elizabeth Katherine Anna Triumbari
- Nuclear Medicine Unit, G-STeP Radiopharmacy Research Core Facility, Department of Radiology, Radiotherapy and Haematology, Fondazione Policlinico Universitario A. Gemelli IRCCS, 00168 Rome, Italy
| | - Vittoria Rufini
- Nuclear Medicine Unit, Department of Radiology, Radiotherapy and Haematology, Fondazione Policlinico Universitario A. Gemelli IRCCS, Largo A. Gemelli, 8, 00168 Rome, Italy
- Section of Nuclear Medicine, Department of Radiological Sciences, Radiotherapy and Haematology, Università Cattolica del Sacro Cuore, 00168 Rome, Italy
| | - Clemens Mingels
- Department of Nuclear Medicine, Inselspital, Bern University Hospital, University of Bern, 3010 Bern, Switzerland
| | - Axel Rominger
- Department of Nuclear Medicine, Inselspital, Bern University Hospital, University of Bern, 3010 Bern, Switzerland
| | - Abass Alavi
- Department of Radiology, University of Pennsylvania, Philadelphia, PA 19104, USA
| | - Francesco Fanfani
- Woman, Child and Public Health Department, Fondazione Policlinico Universitario A. Gemelli IRCCS, 00168 Rome, Italy
- Section of Obstetrics and Gynaecology, University Department of Life Sciences and Public Health, Università Cattolica del Sacro Cuore, 00168 Roma, Italy
| | - Ramsey D. Badawi
- Department of Radiology, University of California Davis, Sacramento, CA 95819, USA
- Department of Biomedical Engineering, University of California Davis, Davis, CA 95616, USA
| | - Lorenzo Nardo
- Department of Radiology, University of California Davis, Sacramento, CA 95819, USA
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26
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Kozman MA, Fisher OM, Liauw W, Morris DL. Use of Prognostic Factors and Scores in Selection of Patients with Colorectal Cancer Peritoneal Metastasis (CRPM) for Cytoreductive Surgery and Intraperitoneal Chemotherapy (CRS/IPC): Results of an International Survey Among Oncologic Clinicians. Ann Surg Oncol 2023; 30:3333-3345. [PMID: 37020095 PMCID: PMC10175441 DOI: 10.1245/s10434-022-12794-5] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/09/2022] [Accepted: 10/24/2022] [Indexed: 04/07/2023]
Abstract
BACKGROUND No universally accepted guidelines exist for treatment of patients with colorectal cancer peritoneal metastases (CRPM) undergoing cytoreductive surgery and intraperitoneal chemotherapy (CRS/IPC). Several uncertainties remain concerning almost every aspect of this treatment modality, resulting in marked variability in patient management and likely outcomes. This survey aimed to define variations and trends in clinician decision making more clearly. METHODS A 41-question web-based survey was distributed electronically via the Peritoneal Surface Oncology Group International (PSOGI), the International Society for the Study of Pleura and Peritoneum (ISSPP) as well as via social media (particularly Twitter). The survey sought to address and record clinician responses regarding patient workup/assessment, selection for preoperative systemic therapy, preoperative and intraoperative selection for CRS/IPC, and consideration of prognosis and complications. RESULTS Complete responses were received from 60 clinicians from 45 centres in 22 countries. Upon assessment of survey responses, several interesting trends were noted in each section of the survey. Significant variability in surgeon practice and opinion were identified concerning almost every aspect of the treatment modality. CONCLUSION This international survey provides the most comprehensive insight into clinician decision-making trends regarding patient assessment, selection and management. This should allow areas of variability to be more clearly defined and could potentially prompt development of initiatives for achieving consensus and standardisation of care in the future.
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Affiliation(s)
- Mathew A Kozman
- Hepatobiliary and Surgical Oncology Unit, Department of Surgery, St George Hospital, Kogarah, NSW, Australia
- St George Hospital Clinical School, University of New South Wales, Sydney, NSW, Australia
| | - Oliver M Fisher
- Hepatobiliary and Surgical Oncology Unit, Department of Surgery, St George Hospital, Kogarah, NSW, Australia
- St George Hospital Clinical School, University of New South Wales, Sydney, NSW, Australia
| | - Winston Liauw
- Cancer Care Centre, St George Hospital, Kogarah, NSW, Australia
- St George Hospital Clinical School, University of New South Wales, Sydney, NSW, Australia
| | - David L Morris
- Hepatobiliary and Surgical Oncology Unit, Department of Surgery, St George Hospital, Kogarah, NSW, Australia
- St George Hospital Clinical School, University of New South Wales, Sydney, NSW, Australia
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27
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Gege Z, Xueju W, Bin J. Head-To-Head Comparison of 68Ga-FAPI PET/CT and FDG PET/CT for the Detection of Peritoneal Metastases: Systematic Review and Meta-Analysis. AJR Am J Roentgenol 2023; 220:490-498. [PMID: 36321984 DOI: 10.2214/ajr.22.28402] [Citation(s) in RCA: 6] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/06/2022]
Abstract
BACKGROUND. FDG PET/CT has limited diagnostic performance in the detection of peritoneal metastasis (PM). Gallium-68-labeled fibroblast activation protein inhibitor (FAPI) targets tumor stroma, leading to high accumulation across cancer types. OBJECTIVE. The purpose of this study was to conduct a meta-analysis to compare the diagnostic performances of 68Ga-FAPI PET/CT and FDG PET/CT in detecting PM on the basis of studies providing head-to-head comparisons between the two tests. EVIDENCE ACQUISITION. PubMed, Embase, and Cochrane Library databases were searched through July 2022 to identify studies reporting head-to-head comparison of 68Ga-FAPI PET/CT and FDG PET/CT for detection of PM. The reference standard was classified as histopathology for all patients or as a combination of histopathologic, clinical, imaging, laboratory, and follow-up information (multidisciplinary reference standard). A random-effects statistical model was applied to conduct a meta-analysis of the diagnostic performances of the tests in patient-based and lesion-based analyses. The QUADAS-2 and QUADAS Comparative tools were used to assess study quality. EVIDENCE SYNTHESIS. Eleven studies were included. Patient-based analysis was reported in nine studies including 340 patients, and lesion-based analysis was reported in four studies including 222 lesions. The pooled sensitivity of 68Ga-FAPI PET/CT was significantly higher than that of FDG PET/CT in patient-based analysis (98.2% [95% CI, 96.1-100.0%] vs 55.9% [95% CI, 33.9-77.9%]) and lesion-based analysis (99.9% [95% CI, 99.5-100.0%] vs 27.3% [95% CI, 11.2-43.4%]). Eight studies were rated at high risk of bias in the reference standard domain because the multidisciplinary reference standard was not sufficiently explained and may have included one of the two index tests, which would have artificially increased sensitivity. In three studies specificity was reported as 100.0% for both tests; these studies were considered at uncertain risk of bias in the patient selection domain because patients with benign peritoneal conditions may have been excluded, resulting in underestimation of potential false-positive results. CONCLUSION. The current evidence suggests excellent sensitivity of 68Ga-FAPI PET/CT for the detection of PM in comparison with poorer sensitivity of FDG PET/CT. However, most included studies had high risk of bias. Further studies are needed to more convincingly characterize true- and false-positive results. CLINICAL IMPACT. The sensitivity of 68Ga-FAPI PET/CT may be substantially greater than that of FDG PET/CT for the evaluation of PM, facilitating surgical planning and candidate selection.
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Affiliation(s)
- Zhao Gege
- Department of Nuclear Medicine, China-Japan Union Hospital of Jilin University, 126 Xiantai St, Changchun, 130033 China
| | - Wang Xueju
- Department of Pathology, China-Japan Union Hospital of Jilin University, Changchun, China
| | - Ji Bin
- Department of Nuclear Medicine, China-Japan Union Hospital of Jilin University, 126 Xiantai St, Changchun, 130033 China
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28
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Costantini B, Rosati A, Vargiu V, Gallitelli V, Di Ilio C, Moroni R, Scambia G, Fagotti A. Visual Peritoneal Evaluation of Residual Disease After Neoadjuvant Chemotherapy in Advanced Ovarian Cancer Patients: The VIPER Study. Ann Surg Oncol 2023; 30:2319-2328. [PMID: 36745255 DOI: 10.1245/s10434-022-12861-x] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/10/2022] [Accepted: 11/09/2022] [Indexed: 02/07/2023]
Abstract
BACKGROUND Chemotherapy induces histopathological tumor necrosis and fibrosis which results in macroscopic tissue changes, making surgeons' intraoperative visual evaluation of the disease distribution more difficult to interpret. The aim of the study was to assess the sensitivity, specificity, and accuracy of intraoperative laparoscopic visual evaluation of the diaphragmatic peritoneum and compare it with histopathological examination. METHODS Patients receiving diaphragmatic peritonectomy at time of IDS were retrospectively included. The population was grouped based on the surgeon's assessment of the diaphragmatic peritoneum during diagnostic laparoscopy. Group 1 included patients with a "visually pathologic" diaphragmatic peritoneum, and group 2 included patients with a "visually dubious" diaphragmatic peritoneum. Sensitivity, specificity, predictive values, and accuracy were calculated considering the final formalin-fixed pathology as the reference standard. RESULTS 155 patients were included (92 in group 1 and 63 in group 2). The accuracy rate of visual examination was 67.1%, the negative predictive value was 19%, specificity was 100%, and sensitivity was 64.3%. CONCLUSION NACT strongly affects the ability of the surgeon to discern between peritoneal scars and truly pathologic peritoneum. The diaphragmatic laparoscopic visual examination showed a low overall accuracy. We propose an algorithm that can guide the surgeon towards a more tailored approach to diaphragmatic peritonectomy during IDS.
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Affiliation(s)
- Barbara Costantini
- Department of Woman and Child Health and Public Health, Fondazione Policlinico Universitario A. Gemelli IRCCS, Rome, Italy
| | - Andrea Rosati
- Department of Woman and Child Health and Public Health, Fondazione Policlinico Universitario A. Gemelli IRCCS, Rome, Italy
| | - Virginia Vargiu
- Department of Gynecologic Oncology, Gemelli Molise SpA, Campobasso, Italy
| | - Vitalba Gallitelli
- Department of Woman and Child Health and Public Health, Fondazione Policlinico Universitario A. Gemelli IRCCS, Rome, Italy
- Università Cattolica del Sacro Cuore, Rome, Italy
| | - Chiara Di Ilio
- Department of Woman and Child Health and Public Health, Fondazione Policlinico Universitario A. Gemelli IRCCS, Rome, Italy
- Università Cattolica del Sacro Cuore, Rome, Italy
| | - Rossana Moroni
- Fondazione Policlinico Universitario A. Gemelli IRCCS, Rome, Italy
| | - Giovanni Scambia
- Department of Woman and Child Health and Public Health, Fondazione Policlinico Universitario A. Gemelli IRCCS, Rome, Italy.
- Università Cattolica del Sacro Cuore, Rome, Italy.
| | - Anna Fagotti
- Department of Woman and Child Health and Public Health, Fondazione Policlinico Universitario A. Gemelli IRCCS, Rome, Italy
- Università Cattolica del Sacro Cuore, Rome, Italy
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29
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Furtado FS, Wu MZ, Esfahani SA, Ferrone CR, Blaszkowsky LS, Clark JW, Ryan DP, Goyal L, Franses JW, Wo JY, Hong TS, Qadan M, Tanabe KK, Weekes CD, Cusack JC, Crafa F, Mahmood U, Anderson MA, Mojtahed A, Hahn PF, Caravan P, Kilcoyne A, Vangel M, Striar RM, Rosen BR, Catalano OA. Positron Emission Tomography/Magnetic Resonance Imaging (PET/MRI) Versus the Standard of Care Imaging in the Diagnosis of Peritoneal Carcinomatosis. Ann Surg 2023; 277:e893-e899. [PMID: 35185121 DOI: 10.1097/sla.0000000000005418] [Citation(s) in RCA: 6] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/27/2022]
Abstract
OBJECTIVE To compare positron emission tomography (PET)/magnetic resonance imaging (MRI) to the standard of care imaging (SCI) for the diagnosis of peritoneal carcinomatosis (PC) in primary abdominopelvic malignancies. SUMMARY BACKGROUND DATA Identifying PC impacts prognosis and management of multiple cancer types. METHODS Adult subjects were prospectively and consecutively enrolled from April 2019 to January 2021. Inclusion criteria were: 1) acquisition of whole-body contrast-enhanced (CE) 18F-fluorodeoxyglucose PET/MRI, 2) pathologically confirmed primary abdominopelvic malignancies. Exclusion criteria were: 1) greater than 4 weeks interval between SCI and PET/MRI, 2) unavailable follow-up. SCI consisted of whole-body CE PET/computed tomography (CT) with diagnostic quality CT, and/or CE-CT of the abdomen and pelvis, and/or CE-MRI of the abdomen±pelvis. If available, pathology or surgical findings served as the reference standard, otherwise, imaging followup was used. When SCI and PET/MRI results disagreed, medical records were checked for management changes. Follow-up data were collected until August 2021. RESULTS One hundred sixty-four subjects were included, 85 (52%) were female, and the median age was 60 years (interquartile range 50-69). At a subject level, PET/MRI had higher sensitivity (0.97, 95% CI 0.86-1.00) than SCI (0.54, 95% CI 0.37-0.71), P < 0.001, without a difference in specificity, of 0.95 (95% CI 0.90-0.98) for PET/MRI and 0.98 (95% CI 0.93-1.00) for SCI, P ¼ 0.250. PET/MRI and SCI results disagreed in 19 cases. In 5/19 (26%) of the discordant cases, PET/MRI findings consistent with PC missed on SCI led to management changes. CONCLUSION PET/MRI improves detection of PC compared with SCI which frequently changes management.
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Affiliation(s)
- Felipe S Furtado
- Department of Radiology, Massachusetts General Hospital, Harvard Medical School, Boston, MA
- Athinoula A Martinos Center for Biomedical Imaging, Harvard Medical School, Charlestown, MA
| | - Mark Z Wu
- Department of Radiology, Massachusetts General Hospital, Harvard Medical School, Boston, MA
| | - Shadi A Esfahani
- Department of Radiology, Massachusetts General Hospital, Harvard Medical School, Boston, MA
- Athinoula A Martinos Center for Biomedical Imaging, Harvard Medical School, Charlestown, MA
| | - Cristina R Ferrone
- Department of Surgery, Massachusetts General Hospital, Harvard Medical School, Boston, MA
| | - Lawrence S Blaszkowsky
- Division of Hematology & Oncology, Department of Medicine, Massachusetts General Hospital Cancer Center, Harvard Medical School, Boston, MA
| | - Jeffrey W Clark
- Division of Hematology & Oncology, Department of Medicine, Massachusetts General Hospital Cancer Center, Harvard Medical School, Boston, MA
| | - David P Ryan
- Division of Hematology & Oncology, Department of Medicine, Massachusetts General Hospital Cancer Center, Harvard Medical School, Boston, MA
| | - Lipika Goyal
- Division of Hematology & Oncology, Department of Medicine, Massachusetts General Hospital Cancer Center, Harvard Medical School, Boston, MA
| | - Joseph W Franses
- Division of Hematology & Oncology, Department of Medicine, Massachusetts General Hospital Cancer Center, Harvard Medical School, Boston, MA
| | - Jennifer Y Wo
- Department of Radiation Oncology, Massachusetts General Hospital, Harvard Medical School, Boston, MA
| | - Theodore S Hong
- Department of Radiation Oncology, Massachusetts General Hospital, Harvard Medical School, Boston, MA
| | - Motaz Qadan
- Department of Surgery, Massachusetts General Hospital, Harvard Medical School, Boston, MA
| | - Kenneth K Tanabe
- Department of Surgery, Massachusetts General Hospital, Harvard Medical School, Boston, MA
| | - Colin D Weekes
- Division of Hematology & Oncology, Department of Medicine, Massachusetts General Hospital Cancer Center, Harvard Medical School, Boston, MA
| | - James C Cusack
- Department of Surgery, Massachusetts General Hospital, Harvard Medical School, Boston, MA
| | | | - Umar Mahmood
- Athinoula A Martinos Center for Biomedical Imaging, Harvard Medical School, Charlestown, MA
| | - Mark A Anderson
- Department of Radiology, Massachusetts General Hospital, Harvard Medical School, Boston, MA
| | - Amirkasra Mojtahed
- Department of Radiology, Massachusetts General Hospital, Harvard Medical School, Boston, MA
| | - Peter F Hahn
- Department of Radiology, Massachusetts General Hospital, Harvard Medical School, Boston, MA
| | - Peter Caravan
- Athinoula A Martinos Center for Biomedical Imaging, Harvard Medical School, Charlestown, MA
| | - Aoife Kilcoyne
- Department of Radiology, Massachusetts General Hospital, Harvard Medical School, Boston, MA
| | - Mark Vangel
- Biostatistics Center, Massachusetts General Hospital, Harvard Medical School, Boston, MA
| | - Robin M Striar
- Athinoula A Martinos Center for Biomedical Imaging, Harvard Medical School, Charlestown, MA
| | - Bruce R Rosen
- Department of Radiology, Massachusetts General Hospital, Harvard Medical School, Boston, MA
- Athinoula A Martinos Center for Biomedical Imaging, Harvard Medical School, Charlestown, MA
| | - Onofrio A Catalano
- Department of Radiology, Massachusetts General Hospital, Harvard Medical School, Boston, MA
- Athinoula A Martinos Center for Biomedical Imaging, Harvard Medical School, Charlestown, MA
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30
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Glockzin G, Helmberger T. Radiologic staging of peritoneal and retroperitoneal disease. ROFO-FORTSCHR RONTG 2023; 195:377-384. [PMID: 36863365 DOI: 10.1055/a-1999-7057] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 03/04/2023]
Abstract
Peritoneal and retroperitoneal tumors consist of a heterogenous group of benign and malignant lesions of different origin. Due to often complex multidisciplinary treatment concepts in patients with peritoneal surface malignancies radiological imaging plays a pivotal role regarding the therapeutic options. Moreover, tumor entity, abdominal tumor distribution and common as well as rare differential diagnoses have to be taken into account. Using different radiological modalities non-invasive pretherapeutic diagnostics might be significantly improved. KEY POINTS:: · Diagnostic CT is a valuable part of the initial diagnostic approach to peritoneal surface malignancies.. · Sensitivity might be increased by the additional use of dwMRI and PET/CT considering tumor entity and individual diagnostic issues.. · The Peritoneal Cancer Index (PCI) should be determined independent of radiologic modality.. CITATION FORMAT: · Glockzin G, Helmberger T. Radiologic staging of peritoneal and retroperitoneal disease. Fortschr Röntgenstr 2023; DOI: 10.1055/a-1999-7057.
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Affiliation(s)
- Gabriel Glockzin
- Department of Surgery, Munchen Klinik Bogenhausen, Munchen, Germany
| | - Thomas Helmberger
- Radiology, Neuroradiology and minimal-invasive Therapy, Munchen Klinik Bogenhausen, Munchen, Germany
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31
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Hegde M, Naliyadhara N, Unnikrishnan J, Alqahtani MS, Abbas M, Girisa S, Sethi G, Kunnumakkara AB. Nanoparticles in the diagnosis and treatment of cancer metastases: Current and future perspectives. Cancer Lett 2023; 556:216066. [PMID: 36649823 DOI: 10.1016/j.canlet.2023.216066] [Citation(s) in RCA: 12] [Impact Index Per Article: 12.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/10/2022] [Revised: 12/31/2022] [Accepted: 01/12/2023] [Indexed: 01/15/2023]
Abstract
Metastasis accounts for greater than 90% of cancer-related deaths. Despite recent advancements in conventional chemotherapy, immunotherapy, targeted therapy, and their rational combinations, metastatic cancers remain essentially untreatable. The distinct obstacles to treat metastases include their small size, high multiplicity, redundancy, therapeutic resistance, and dissemination to multiple organs. Recent advancements in nanotechnology provide the numerous applications in the diagnosis and prophylaxis of metastatic diseases, including the small particle size to penetrate cell membrane and blood vessels and their capacity to transport complex molecular 'cargo' particles to various metastatic regions such as bones, brain, liver, lungs, and lymph nodes. Indeed, nanoparticles (NPs) have demonstrated a significant ability to target specific cells within these organs. In this regard, the purpose of this review is to summarize the present state of nanotechnology in terms of its application in the diagnosis and treatment of metastatic cancer. We intensively reviewed applications of NPs in fluorescent imaging, PET scanning, MRI, and photoacoustic imaging to detect metastasis in various cancer models. The use of targeted NPs for cancer ablation in conjunction with chemotherapy, photothermal treatment, immuno therapy, and combination therapy is thoroughly discussed. The current review also highlights the research opportunities and challenges of leveraging engineering technologies with cancer cell biology and pharmacology to fabricate nanoscience-based tools for treating metastases.
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Affiliation(s)
- Mangala Hegde
- Cancer Biology Laboratory, Department of Biosciences and Bioengineering, Indian Institute of Technology Guwahati, Guwahati, 781039, Assam, India
| | - Nikunj Naliyadhara
- Cancer Biology Laboratory, Department of Biosciences and Bioengineering, Indian Institute of Technology Guwahati, Guwahati, 781039, Assam, India
| | - Jyothsna Unnikrishnan
- Cancer Biology Laboratory, Department of Biosciences and Bioengineering, Indian Institute of Technology Guwahati, Guwahati, 781039, Assam, India
| | - Mohammed S Alqahtani
- Radiological Sciences Department, College of Applied Medical Sciences, King Khalid University, Abha, 61421, Saudi Arabia; BioImaging Unit, Space Research Centre, Michael Atiyah Building, University of Leicester, Leicester, LE1 7RH, UK
| | - Mohamed Abbas
- Electrical Engineering Department, College of Engineering, King Khalid University, Abha, 61421, Saudi Arabia; Computers and Communications Department, College of Engineering, Delta University for Science and Technology, Gamasa, 35712, Egypt
| | - Sosmitha Girisa
- Cancer Biology Laboratory, Department of Biosciences and Bioengineering, Indian Institute of Technology Guwahati, Guwahati, 781039, Assam, India
| | - Gautam Sethi
- Department of Pharmacology, Yong Loo Lin School of Medicine, National University of Singapore, Singapore, 117600, Singapore.
| | - Ajaikumar B Kunnumakkara
- Cancer Biology Laboratory, Department of Biosciences and Bioengineering, Indian Institute of Technology Guwahati, Guwahati, 781039, Assam, India.
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32
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Panico C, Avesani G, Zormpas-Petridis K, Rundo L, Nero C, Sala E. Radiomics and Radiogenomics of Ovarian Cancer. Radiol Clin North Am 2023; 61:749-760. [PMID: 37169435 DOI: 10.1016/j.rcl.2023.02.006] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 04/03/2023]
Abstract
Ovarian cancer, one of the deadliest gynecologic malignancies, is characterized by high intra- and inter-site genomic and phenotypic heterogeneity. The traditional information provided by the conventional interpretation of diagnostic imaging studies cannot adequately represent this heterogeneity. Radiomics analyses can capture the complex patterns related to the microstructure of the tissues and provide quantitative information about them. This review outlines how radiomics and its integration with other quantitative biological information, like genomics and proteomics, can impact the clinical management of ovarian cancer.
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Guerin M, Miran C, Colomba E, Cabart M, Herrmann T, Pericart S, Maillet D, Neuzillet Y, Deleuze A, Coquan E, Laramas M, Thibault C, Abbar B, Mesnard B, Borchiellini D, Dumont C, Boughalem E, Deville JL, Cancel M, Saldana C, Khalil A, Baciarello G, Flechon A, Walz J, Gravis G. Urachal carcinoma: a large retrospective multicentric study from the French Genito-Urinary Tumor Group. Front Oncol 2023; 13:1110003. [PMID: 36741023 PMCID: PMC9892758 DOI: 10.3389/fonc.2023.1110003] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/28/2022] [Accepted: 01/06/2023] [Indexed: 01/20/2023] Open
Abstract
Introduction Urachal cancer (UrC) is a rare, non-urothelial malignancy. Its natural history and management are poorly understood. Although localized to the bladder dome, the most common histological subtype of UrC is adenocarcinoma. UrC develops from an embryonic remnant, and is frequently diagnosed in advanced stage with poor prognosis. The treatment is not standardized, and based only on case reports and small series. This large retrospective multicentric study was conducted by the French Genito-Urinary Tumor Group to gain a better understanding of UrC. Material and Methods data has been collected retrospectively on 97 patients treated at 22 French Cancer Centers between 1996 and 2020. Results The median follow-up was 59 months (range 44-96). The median age at diagnosis was 53 years (range 20-86), 45% were females and 23% had tobacco exposure. For patients with localized disease (Mayo I-II, n=46) and with lymph-node invasion (Mayo III, n=13) median progression-free-survival (mPFS) was 31 months (95% CI: 20-67) and 7 months (95% CI: 6-not reached (NR)), and median overall survival (mOS) was 73 months (95% CI: 57-NR) and 22 months (95% CI: 21-NR) respectively. For 45 patients with Mayo I-III had secondary metastatic progression, and 20 patients were metastatic at diagnosis. Metastatic localization was peritoneal for 54% of patients. Most patients with localized tumor were treated with partial cystectomy, with mPFS of 20 months (95% CI: 14-49), and only 12 patients received adjuvant therapy. Metastatic patients (Mayo IV) had a mOS of 23 months (95% CI: 19-33) and 69% received a platin-fluorouracil combination treatment. Conclusion UrC is a rare tumor of the bladder where patients are younger with a higher number of females, and a lower tobacco exposure than in standard urothelial carcinoma. For localized tumor, partial cystectomy is recommended. The mOS and mPFS were low, notably for patients with lymph node invasion. For metastatic patients the prognosis is poor and standard therapy is not well-defined. Further clinical and biological knowledge are needed.
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Affiliation(s)
- M. Guerin
- Department of Medical Oncology, Institut Paoli-Calmettes, Marseille, France,*Correspondence: M. Guerin,
| | - C. Miran
- Department of Medical Oncology, Centre Leon-Berard, Lyon, France
| | - E. Colomba
- Department of Cancer Medicine, Institut Gustave-Roussy, University of Paris Saclay, Villejuif, France
| | - M. Cabart
- Department of Medical Oncology, Institut Bergonie, Bordeaux, France
| | - T. Herrmann
- Department of Medical Oncology, Centre Jean-Perrin, Clermont-Ferrand, France
| | - S. Pericart
- Department of Anatomo-pathology, Institut Universitaire du Cancer, Centre Hospital-Universitaire de Toulouse, Toulouse, France
| | - D. Maillet
- Department of Medical Oncology, Centre hospitalo-Universitaire Hospices civils, Lyon, France
| | - Y. Neuzillet
- Department of Urology, Hopital Foch, Paris, France
| | - A. Deleuze
- Department of Medical Oncology, Centre Eugene Marquis, Rennes, France
| | - E. Coquan
- Department of Medical Oncology, Centre François Baclesse, Caen, France
| | - M. Laramas
- Department of Medical Oncology, Centre Hospitalo-Universitaire, Grenoble, France
| | - C. Thibault
- Department of Medical Oncology, Hopital Europeen Georges Pompidou, Paris, France
| | - B. Abbar
- Department of Medical Oncology, Hopital Pitié-Salpetriere, Paris, France
| | - B. Mesnard
- Department of Urology, Centre Hospitalo-Universitaire, Nantes, France
| | - D. Borchiellini
- Department of Medical Oncology, Centre Lacassagne, Nice, France
| | - C. Dumont
- Department of Medical Oncology, Hopital Saint-Louis, Paris, France
| | - E. Boughalem
- Department of Medical Oncology, Centre Paul Papin, Angers, France
| | - JL. Deville
- Department of Medical Oncology, Centre Hospitalo-Universitaire Timone, Marseille, France
| | - M. Cancel
- Department of Medical Oncology, Centre Hospitalo-Universitaire Bretonneau, Tours, France
| | - C. Saldana
- Department of Medical Oncology, Hopital Henri Mondor, Paris, France
| | - A. Khalil
- Department of Medical Oncology, Hopital tenon, Paris, France
| | - G. Baciarello
- Department of Cancer Medicine, Institut Gustave-Roussy, University of Paris Saclay, Villejuif, France
| | - A. Flechon
- Department of Medical Oncology, Centre Leon-Berard, Lyon, France
| | - J. Walz
- Department of Urology, Institut Paoli-Calmettes, Marseille, France
| | - G. Gravis
- Department of Medical Oncology, Institut Paoli-Calmettes, Marseille, France
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Ban B, Shang A, Shi J. Development and validation of a nomogram for predicting metachronous peritoneal metastasis in colorectal cancer: A retrospective study. World J Gastrointest Oncol 2023; 15:112-127. [PMID: 36684053 PMCID: PMC9850763 DOI: 10.4251/wjgo.v15.i1.112] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/23/2022] [Revised: 11/23/2022] [Accepted: 12/21/2022] [Indexed: 01/10/2023] Open
Abstract
BACKGROUND Peritoneal metastasis (PM) after primary surgery for colorectal cancer (CRC) has the worst prognosis. Prediction and early detection of metachronous PM (m-PM) have an important role in improving postoperative prognosis of CRC. However, commonly used imaging methods have limited sensitivity to detect PM early. We aimed to establish a nomogram model to evaluate the individual probability of m-PM to facilitate early interventions for high-risk patients.
AIM To establish and validate a nomogram model for predicting the occurrence of m-PM in CRC within 3 years after surgery.
METHODS We used the clinical data of 878 patients at the Second Hospital of Jilin University, between January 1, 2014 and January 31, 2019. The patients were randomly divided into training and validation cohorts at a ratio of 2:1. The least absolute shrinkage and selection operator (LASSO) regression was performed to identify the variables with nonzero coefficients to predict the risk of m-PM. Multivariate logistic regression was used to verify the selected variables and to develop the predictive nomogram model. Harrell’s concordance index, receiver operating characteristic curve, Brier score, and decision curve analysis (DCA) were used to evaluate discrimination, distinctiveness, validity, and clinical utility of this nomogram model. The model was verified internally using bootstrapping method and verified externally using validation cohort.
RESULTS LASSO regression analysis identified six potential risk factors with nonzero coefficients. Multivariate logistic regression confirmed the risk factors to be independent. Based on the results of two regression analyses, a nomogram model was established. The nomogram included six predictors: Tumor site, histological type, pathological T stage, carbohydrate antigen 125, v-raf murine sarcoma viral oncogene homolog B mutation and microsatellite instability status. The model achieved good predictive accuracy on both the training and validation datasets. The C-index, area under the curve, and Brier scores were 0.796, 0.796 [95% confidence interval (CI) 0.735-0.856], and 0.081 for the training cohort and 0.782, 0.782 (95%CI 0.690-0.874), and 0.089 for the validation cohort, respectively. DCA showed that when the threshold probability was between 0.01 and 0.90, using this model to predict m-PM achieved a net clinical benefit.
CONCLUSION We have established and validated a nomogram model to predict m-PM in patients undergoing curative surgery, which shows good discrimination and high accuracy.
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Affiliation(s)
- Bo Ban
- Department of General Surgery, The Second Hospital of Jilin University, Changchun 130041, Jilin Province, China
| | - An Shang
- Department of General Surgery, The Second Hospital of Jilin University, Changchun 130041, Jilin Province, China
| | - Jian Shi
- Department of General Surgery, The Second Hospital of Jilin University, Changchun 130041, Jilin Province, China
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Altini C, Maggialetti N, Branca A, Pisani AR, Rubini D, Sardaro A, Stabile Ianora AA, Rubini G. 18F-FDG PET/CT in peritoneal tumors: a pictorial review. Clin Transl Imaging 2023. [DOI: 10.1007/s40336-022-00534-4] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/09/2023]
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Development of the Peritoneal Metastasis: A Review of Back-Grounds, Mechanisms, Treatments and Prospects. J Clin Med 2022; 12:jcm12010103. [PMID: 36614904 PMCID: PMC9821147 DOI: 10.3390/jcm12010103] [Citation(s) in RCA: 8] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/22/2022] [Revised: 12/16/2022] [Accepted: 12/20/2022] [Indexed: 12/24/2022] Open
Abstract
Peritoneal metastasis is a malignant disease which originated from several gastrointestinal and gynecological carcinomas and has been leading to a suffering condition in patients for decades. Currently, as people have gradually become more aware of the severity of peritoneal carcinomatosis, new molecular mechanisms for targeting and new treatments have been proposed. However, due to the uncertainty of influencing factors involved and a lack of a standardized procedure for this treatment, as well as a need for more clinical data for specific evaluation, more research is needed, both for preventing and treating. We aim to summarize backgrounds, mechanisms and treatments in this area and conclude limitations or new aspects for treatments.
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Egger EK, Buchen MA, Recker F, Stope MB, Strunk H, Mustea A, Marinova M. Predicting incomplete cytoreduction in patients with advanced ovarian cancer. Front Oncol 2022; 12:1060006. [PMID: 36591482 PMCID: PMC9798233 DOI: 10.3389/fonc.2022.1060006] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/02/2022] [Accepted: 11/21/2022] [Indexed: 12/23/2022] Open
Abstract
Purpose The most important prognostic factor for survival in ovarian cancer patients is complete cytoreduction. The preoperative prediction of suboptimal cytoreduction, considered as any residual disease at the end of surgery, could prevent futile surgery and morbidity. Here, we aimed to identify markers in the preoperative abdominal CT scans of an unselected cohort of patients with ovarian cancer that are predictive of incomplete cytoreduction. Methods This is a single-institution retrospective analysis of 105 epithelial ovarian cancer (EOC) patients treated with surgical cytoreduction between 2010 and 2020. Twenty-two variables on preoperative abdominal CT scans were compared to the intraoperative macroscopic findings by Fisher's exact test. Parameters with a significant correlation between intraoperative findings and imaging were analyzed by multivariate binary logistic regression analysis regarding the surgical outcome of complete versus incomplete cytoreduction. Results Complete cytoreduction (CC), indicated by the absence of macroscopic residual disease, was achieved in 79 (75.2%) of 105 patients and 46 (63.9%) of 72 International Federation of Gynecology and Obstetrics (FIGO) stage III and IV patients. Twenty patients (19%) were incompletely cytoreduced due to miliary carcinomatosis of the small bowel, and six patients (5.7%) had various locations of residual disease. Thirteen variables showed a significant correlation between imaging and surgical findings. Large-volume ascites, absence of numerically increased small lymph nodes at the mesenteric root, and carcinomatosis of the transverse colon in FIGO stage III and IV patients decreased the rate of CC to 26.7% in the multivariate analysis. Conclusion Large-volume ascites, the absence of numerically increased small lymph nodes at the mesenteric root, and carcinomatosis of the transverse colon are markers in preoperative CT scans predicting a low chance for complete cytoreduction in unselected ovarian cancer patients in a real-world setting.
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Affiliation(s)
- Eva K. Egger
- Department of Gynecology and Gynecological Oncology, University Hospital Bonn, Bonn, Germany
| | - Marie Antonia Buchen
- Department of Gynecology and Gynecological Oncology, University Hospital Bonn, Bonn, Germany
| | - Florian Recker
- Department of Gynecology and Gynecological Oncology, University Hospital Bonn, Bonn, Germany
| | - Matthias B. Stope
- Department of Gynecology and Gynecological Oncology, University Hospital Bonn, Bonn, Germany
| | - Holger Strunk
- Medicine Center Bonn, Medical Care Center, Bonn, Germany
| | - Alexander Mustea
- Department of Gynecology and Gynecological Oncology, University Hospital Bonn, Bonn, Germany
| | - Milka Marinova
- Department of Nuclear Medicine, University Hospital Bonn, Bonn, Germany
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Zorzetto G, Coppola A, Molinelli V, Angeretti MG, Casarin J, Fontana F, Piacentino F, Carcano G, Ghezzi F, Venturini M. Spectral CT in peritoneal carcinomatosis from ovarian cancer: a tool for differential diagnosis of small nodules? Eur Radiol Exp 2022; 6:45. [PMID: 36245001 PMCID: PMC9573836 DOI: 10.1186/s41747-022-00302-z] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/28/2022] [Accepted: 08/04/2022] [Indexed: 01/17/2023] Open
Abstract
The detection of peritoneal carcinomatosis in patients with ovarian cancer is crucial to establish the correct therapeutic planning (debulking surgery versus neoadjuvant chemotherapy). Often, however, the nodules of peritoneal carcinomatosis are very small in size or have a reticular appearance that can mimic the fat stranding that is typical of acute inflammation conditions. Our hypothesis is that the use of dual-layer spectral computed tomography with its applications, such as virtual monoenergetic imaging and Z-effective imaging, might improve the detection and the characterisation of peritoneal nodules, increasing sensitivity and diagnostic accuracy, as recently described for other oncological diseases.
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Agirlar Trabzonlu T, Modak M, Horowitz JM. MR Imaging of Mimics of Adnexal Pathology. Magn Reson Imaging Clin N Am 2022; 31:137-148. [DOI: 10.1016/j.mric.2022.06.007] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/05/2022]
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Kepenekian V, Bhatt A, Péron J, Alyami M, Benzerdjeb N, Bakrin N, Falandry C, Passot G, Rousset P, Glehen O. Advances in the management of peritoneal malignancies. Nat Rev Clin Oncol 2022; 19:698-718. [PMID: 36071285 DOI: 10.1038/s41571-022-00675-5] [Citation(s) in RCA: 14] [Impact Index Per Article: 7.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 07/29/2022] [Indexed: 11/09/2022]
Abstract
Peritoneal surface malignancies (PSMs) are usually associated with a poor prognosis. Nonetheless, in line with advances in the management of most abdominopelvic metastatic diseases, considerable progress has been made over the past decade. An improved understanding of disease biology has led to the more accurate prediction of neoplasia aggressiveness and the treatment response and has been reflected in the proposal of new classification systems. Achieving complete cytoreductive surgery remains the cornerstone of curative-intent treatment of PSMs. Alongside centralization in expert centres, enabling the delivery of multimodal and multidisciplinary strategies, preoperative management is a crucial step in order to select patients who are most likely to benefit from surgery. Depending on the specific PSM, the role of intraperitoneal chemotherapy and of perioperative systemic chemotherapy, in particular, in the neoadjuvant setting, is established in certain scenarios but questioned in several others, although more prospective data are required. In this Review, we describe advances in all aspects of the management of PSMs including disease biology, assessment and improvement of disease resectability, perioperative management, systemic therapy and pre-emptive management, and we speculate on future research directions.
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Affiliation(s)
- Vahan Kepenekian
- Surgical Oncology Department, Hôpital Lyon Sud, Hospices Civils de Lyon, Pierre Bénite, France.,CICLY - EA3738, Université Claude Bernard Lyon I (UCBL1), Lyon, France
| | - Aditi Bhatt
- Department of Surgical Oncology, Zydus hospital, Ahmedabad, Gujarat, India
| | - Julien Péron
- Medical Oncology Department, Hôpital Lyon Sud, Hospices Civils de Lyon, Pierre Bénite, France.,Laboratoire de Biométrie et Biologie Evolutive, Equipe Biostatistique-Santé, UCBL1, Lyon, France
| | - Mohammad Alyami
- Department of General Surgery and Surgical Oncology, Oncology Center, King Khalid Hospital, Najran, Saudi Arabia
| | - Nazim Benzerdjeb
- CICLY - EA3738, Université Claude Bernard Lyon I (UCBL1), Lyon, France.,Department of Pathology, Institut de Pathologie Multisite, Hospices Civils de Lyon, UCBL1, Lyon, France
| | - Naoual Bakrin
- Surgical Oncology Department, Hôpital Lyon Sud, Hospices Civils de Lyon, Pierre Bénite, France.,CICLY - EA3738, Université Claude Bernard Lyon I (UCBL1), Lyon, France
| | - Claire Falandry
- Department of Onco-Geriatry, Hôpital Lyon Sud, Hospices Civils de Lyon, Lyon, France
| | - Guillaume Passot
- Surgical Oncology Department, Hôpital Lyon Sud, Hospices Civils de Lyon, Pierre Bénite, France.,CICLY - EA3738, Université Claude Bernard Lyon I (UCBL1), Lyon, France
| | - Pascal Rousset
- CICLY - EA3738, Université Claude Bernard Lyon I (UCBL1), Lyon, France.,Department of Radiology, Hôpital Lyon Sud, Hospices Civils de Lyon, UCBL1, Lyon, France
| | - Olivier Glehen
- Surgical Oncology Department, Hôpital Lyon Sud, Hospices Civils de Lyon, Pierre Bénite, France. .,CICLY - EA3738, Université Claude Bernard Lyon I (UCBL1), Lyon, France.
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Detection of Experimental Colorectal Peritoneal Metastases by a Novel PDGFRβ-Targeting Nanobody. Cancers (Basel) 2022; 14:cancers14184348. [PMID: 36139509 PMCID: PMC9497196 DOI: 10.3390/cancers14184348] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/10/2022] [Revised: 08/25/2022] [Accepted: 09/01/2022] [Indexed: 11/29/2022] Open
Abstract
Simple Summary Colorectal cancer can metastasize to multiple distant sites. Metastases growing within the peritoneal cavity cause a high degree of morbidity and are associated with very poor survival. Moreover, peritoneal metastases are difficult to detect using conventional imaging methods. Consequently, peritoneal metastases are generally under-diagnosed and their response to therapy is difficult to assess. An extensive molecular and cellular analysis of colorectal peritoneal metastases revealed that these lesions express very high levels of specific markers that could serve as targets for imaging-based diagnosis and treatment. In the present report, we explore the potential value of one such marker, PDGFRB, to serve as a target for peritoneal metastasis detection by molecular imaging. Therefore, we generated a PDGFRB-binding llama nanobody and demonstrate its utility in detecting peritoneal metastases in mice. The clinical development of PDGFRB-targeting tracers may help to improve the diagnosis of peritoneal metastases and the clinical management of this highly aggressive disease entity. Abstract Peritoneal metastases in colorectal cancer (CRC) belong to Consensus Molecular Subtype 4 (CMS4) and are associated with poor prognosis. Conventional imaging modalities, such as Computed Tomography (CT) and Fluorodeoxyglucose-Positron Emission Tomography (FDG-PET), perform very poorly in the detection of peritoneal metastases. However, the stroma-rich nature of these lesions provides a basis for developing molecular imaging strategies. In this study, conducted from 2019 to 2021, we aimed to generate a Platelet-Derived Growth Factor Receptor beta (PDGFRB)-binding molecular imaging tracer for the detection of CMS4 CRC, including peritoneal metastases. The expression of PDGFRB mRNA discriminated CMS4 from CMS1-3 (AUROC = 0.86 (95% CI 0.85–0.88)) and was associated with poor relapse-free survival. PDGFRB mRNA and protein levels were very high in all human peritoneal metastases examined (n = 66). Therefore, we generated a PDGFRB-targeting llama nanobody (VHH1E12). Biotin-labelled VHH1E12 bound to immobilized human and mouse PDGFRB with high affinity (EC50 human PDGFRB = 7 nM; EC50 murine PDGFRB = 0.8 nM), and to PDGFRB-expressing HEK293 cells grown in vitro. A pharmacokinetic analysis of IRDye-800CW-conjugated VHH1E12 in mice showed that the plasma half-life was 6 min. IRDye-800CW-conjugated VHH1E12 specifically accumulated in experimentally induced colorectal cancer peritoneal metastases in mice. A tissue analysis subsequently demonstrated co-localization of the nanobody with PDGFRB expression in the tumour stroma. Our results demonstrate the potential value of PDGFRB-targeted molecular imaging as a novel strategy for the non-invasive detection of CMS4 CRC, in particular, peritoneal metastases.
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Wang J, Liu L, Pang H, Liu L, Jing X, Li Y. Preoperative PET/CT score can predict incomplete resection after debulking surgery for advanced serous ovarian cancer better than CT score, MTV, tumor markers and hematological markers. Acta Obstet Gynecol Scand 2022; 101:1315-1327. [PMID: 35979992 PMCID: PMC9812200 DOI: 10.1111/aogs.14442] [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: 02/28/2022] [Revised: 07/25/2022] [Accepted: 07/31/2022] [Indexed: 01/07/2023]
Abstract
INTRODUCTION Complete resection after debulking surgery is strongly associated with prolonged survival for advanced serous ovarian cancer (ASOC). Though positron emission tomography/computed tomography (PET/CT) is more advantageous than computed tomorgraphy (CT) for detecting metastases, studies on the PET/CT prediction model for incomplete resection for ovarian cancer are insufficient. We analyzed and compared the predictive value of preoperative PET/CT score, CT score, metabolic parameters, tumor markers and hematological markers for incomplete resection after debulking surgery for ASOC. MATERIAL AND METHODS A total of 62 ASOC patients who underwent preoperative [18 F]FDG PET/CT and debulking surgery were retrospectively analyzed. PET/CT and CT scores were based on the Suidan model. The predictive value of PET/CT score, CT score, the maximum standardized uptake value (SUVmax), metabolic tumor volume (MTV), human epididymis protein 4 (HE4), cancer antigen 125 (CA125), lymphocyte-to-monocyte ratio (LMR), platelet-to-lymphocyte ratio (PLR) and neutrophil-to-lymphocyte ratio (NLR) for incomplete resection were analyzed and compared. RESULTS Preoperative PET/CT score had the highest predictive value for incomplete resection in primary debulking surgery group (sensitivity: 65.0%, specificity: 88.9%, area under the ROC curve (AUC): 0.847, p < 0.001), however, in secondary debulking surgery group, preoperative PET/CT score and CT score had the same and highest predictive value for incomplete resection (sensitivity: 80.0%, specificity: 94.7%, AUC: 0.853, p = 0.017), compared with preoperative metabolic parameters SUVmax and MTV, tumor markers HE4 and CA125, and hematological markers LMR, PLR and NLR. Preoperative PET/CT score ≥ 3 (Suidan model) and preoperative PET/CT score ≥ 2 predicted a high risk of incomplete resection after primary and secondary debulking surgeries, respectively. There was no statistical difference between primary and secondary debulking surgery groups in predictive value of PET/CT score for incomplete resection (p = 0.971). There were significant differences between PET/CT scores and CT scores in primary debulking surgery group and no significant differences in secondary debulking surgery group. CONCLUSIONS A high PET/CT score predicted a high risk of incomplete resection. The preoperative PET/CT score had an identical predictive value in primary and secondary debulking surgery groups. PET/CT score was more accurate in the detection of metastases than CT score was.
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Affiliation(s)
- Jie Wang
- Department of Nuclear MedicineThe First Affiliated Hospital of Chongqing Medical UniversityChongqingChina
| | - Li Liu
- Department of RadiologyThe People's Hospital of Yubei District of Chongqing CityChongqingChina
| | - Hua Pang
- Department of Nuclear MedicineThe First Affiliated Hospital of Chongqing Medical UniversityChongqingChina
| | - Lili Liu
- Department of RadiologyChongqing General Hospital, University of Chinese Academy of SciencesChongqingChina
| | - Xingguo Jing
- Department of Nuclear MedicineThe First Affiliated Hospital of Chongqing Medical UniversityChongqingChina
| | - Yongmei Li
- Department of RadiologyThe First Affiliated Hospital of Chongqing Medical UniversityChongqingChina
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Prospective Comparison of the Performance of MRI Versus CT in the Detection and Evaluation of Peritoneal Surface Malignancies. Cancers (Basel) 2022; 14:cancers14133179. [PMID: 35804951 PMCID: PMC9264985 DOI: 10.3390/cancers14133179] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/27/2022] [Revised: 05/30/2022] [Accepted: 06/27/2022] [Indexed: 11/17/2022] Open
Abstract
Background: The performance of MRI versus CT in the detection and evaluation of peritoneal surface malignancies (PSM) remains unclear in the current literature. Our study is the first prospective study in an Asian center comparing the two imaging modalities, validated against intra-operative findings. Methods: A total of 36 patients with PSM eligible for CRS-HIPEC underwent both MRI and CT scans up to 6 weeks before the operation. The scans were assessed for the presence and distribution of PSM and scored using the peritoneal cancer index (PCI), which were compared against PCI determined at surgery. Results: Both MRI and CT were 100% sensitive and specific in detecting the overall presence of PSM. Across all peritoneal regions, the sensitivity and specificity for PSM detection was 49.1% and 93.0% for MRI, compared to 47.8% and 95.1% for CT (p = 0.76). MRI was more sensitive than CT for small bowel disease, although the difference did not reach statistical significance. Comparing PCI on imaging with intra-operative PCI, the mean difference was found to be −3.4 ± 5.4 (p < 0.01) for MRI, and −3.9 ± 4.1 (p < 0.01) for CT. The correlation between imaging and intra-operative PCI was poor, with a concordance coefficient of 0.76 and 0.79 for MRI and CT, respectively. Within individual peritoneal regions, there was also poor agreement between imaging and intra-operative PCI for both modalities, other than in regions 1 and 3. Conclusion: MRI and CT are comparable in the detection and evaluation of PSM. While sensitive in the overall detection of PSM, they are likely to underestimate the true disease burden.
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Nagata H, Kawai K, Oba K, Nozawa H, Yamauchi S, Sugihara K, Ishihara S. Laparoscopic colectomy: a risk factor for postoperative peritoneal metastasis. Clin Colorectal Cancer 2022; 21:e205-e212. [DOI: 10.1016/j.clcc.2022.05.003] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/02/2022] [Revised: 05/12/2022] [Accepted: 05/15/2022] [Indexed: 11/30/2022]
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Bhaludin BN, Tunariu N, Koh DM, Messiou C, Okines AF, McGrath SE, Ring AE, Parton MM, Sharma B, Gagliardi T, Allen SD, Pope R, Johnston SRD, Downey K. A review on the added value of whole-body MRI in metastatic lobular breast cancer. Eur Radiol 2022; 32:6514-6525. [PMID: 35384456 DOI: 10.1007/s00330-022-08714-6] [Citation(s) in RCA: 6] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/04/2021] [Revised: 03/02/2022] [Accepted: 03/04/2022] [Indexed: 12/01/2022]
Abstract
Invasive lobular breast carcinomas (ILC) account for approximately 15% of breast cancer diagnoses. They can be difficult to diagnose both clinically and radiologically, due to their infiltrative growth pattern. The pattern of metastasis of ILC is unusual, with spread to the serosal surfaces (pleura and peritoneum), retroperitoneum and gastrointestinal (GI)/genitourinary (GU) tracts and a higher rate of leptomeningeal spread than IDC. Routine staging and response assessment with computed tomography (CT) can be undertaken quickly and measurements can be reproduced easily, but this is challenging with metastatic ILC as bone-only/bone-predominant patterns are frequently seen and assessment of the disease status is limited in these scenarios. Functional imaging such as whole-body MRI (WBMRI) allows the assessment of bone and soft tissue disease by providing functional information related to differences in cellular density between malignant and benign tissues. A number of recent studies have shown that WBMRI can detect additional sites of disease in metastatic breast cancer (MBC), resulting in a change in systemic anti-cancer therapy. Although WBMRI and fluorodeoxyglucose-positron-emission tomography-computed tomography (FDG-PET/CT) have a comparable performance in the assessment of MBC, WBMRI can be particularly valuable as a proportion of ILC are non-FDG-avid, resulting in the underestimation of the disease extent. In this review, we explore the added value of WBMRI in the evaluation of metastatic ILC and compare it with other imaging modalities such as CT and FDG-PET/CT. We also discuss the spectrum of WBMRI findings of the different metastatic sites of ILC with CT and FDG-PET/CT correlation. KEY POINTS: • ILC has an unusual pattern of spread compared to IDC, with metastases to the peritoneum, retroperitoneum and GI and GU tracts, but the bones and liver are the commonest sites. • WBMRI allows functional assessment of metastatic disease, particularly in bone-only and bone-predominant metastatic cancers such as ILC where evaluation with CT can be challenging and limited. • WBMRI can detect more sites of disease compared with CT, can reveal disease progression earlier and provides the opportunity to change ineffective systemic treatment sooner.
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Affiliation(s)
- Basrull N Bhaludin
- Department of Radiology, The Royal Marsden Hospital, 203 Fulham Rd, London, England, SW3 6JJ, UK.
| | - Nina Tunariu
- Department of Radiology, The Royal Marsden Hospital, Downs Rd, Sutton, England, SM2 5PT, UK.,Institute of Cancer Research, London, UK
| | - Dow-Mu Koh
- Department of Radiology, The Royal Marsden Hospital, Downs Rd, Sutton, England, SM2 5PT, UK.,Institute of Cancer Research, London, UK
| | - Christina Messiou
- Department of Radiology, The Royal Marsden Hospital, Downs Rd, Sutton, England, SM2 5PT, UK.,Institute of Cancer Research, London, UK
| | - Alicia F Okines
- Breast Unit, The Royal Marsden Hospital, 203 Fulham Rd, London, England, SW3 6JJ, UK
| | - Sophie E McGrath
- Breast Unit, The Royal Marsden Hospital, Downs Rd, Sutton, England, SM2 5PT, UK
| | - Alistair E Ring
- Breast Unit, The Royal Marsden Hospital, Downs Rd, Sutton, England, SM2 5PT, UK
| | - Marina M Parton
- Breast Unit, The Royal Marsden Hospital, 203 Fulham Rd, London, England, SW3 6JJ, UK
| | - Bhupinder Sharma
- Department of Radiology, The Royal Marsden Hospital, 203 Fulham Rd, London, England, SW3 6JJ, UK
| | - Tanja Gagliardi
- Department of Radiology, The Royal Marsden Hospital, 203 Fulham Rd, London, England, SW3 6JJ, UK
| | - Steven D Allen
- Department of Radiology, The Royal Marsden Hospital, 203 Fulham Rd, London, England, SW3 6JJ, UK
| | - Romney Pope
- Department of Radiology, The Royal Marsden Hospital, 203 Fulham Rd, London, England, SW3 6JJ, UK
| | - Stephen R D Johnston
- Breast Unit, The Royal Marsden Hospital, 203 Fulham Rd, London, England, SW3 6JJ, UK
| | - Kate Downey
- Department of Radiology, The Royal Marsden Hospital, 203 Fulham Rd, London, England, SW3 6JJ, UK
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Power JW, Dempsey PJ, Yates A, Fenlon H, Mulsow J, Shields C, Cronin CG. Peritoneal malignancy: anatomy, pathophysiology and an update on modern day imaging. Br J Radiol 2022; 95:20210217. [PMID: 34826229 PMCID: PMC9153709 DOI: 10.1259/bjr.20210217] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/16/2022] Open
Abstract
With increasing subspecialised experience in radical cytoreductive surgery and intra-abdominal chemotherapy for peritoneal malignancy, outcomes have improved significantly in selected patients. The surgery and the treatment regimens are radical and therefore correct patient selection is critical. The radiologist plays a central role in this process by estimating, as precisely as possible, the pre-treatment disease burden. Because of the nature of the disease process, accurate staging is not an easy task. Tumour deposits may be very small and in locations where they are very difficult to detect. It must be acknowledged that no form of modern day imaging has the capability of detecting the smallest peritoneal nodules, which may only be visible to direct inspection or histopathological evaluation. Nonetheless, it behoves the radiologist to be as exact and precise as possible in the reporting of this disease process. This is both to select patients who are likely to benefit from radical treatment, and just as importantly, to identify patients who are unlikely to achieve adequate cytoreductive outcomes. In this review, we outline the patterns of spread of disease and the anatomic basis for this, as well as the essential aspects of reporting abdominal studies in this patient group. We provide an evidence-based update on the relative strengths and limitations of our available multimodality imaging techniques namely CT, MRI and positron emission tomography/CT.
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Affiliation(s)
- Jack W Power
- University College Dublin (UCD) School of Medicine, Mater Misericordiae University Hospital, Dublin, Ireland
| | - Philip J Dempsey
- University College Dublin (UCD) School of Medicine, Mater Misericordiae University Hospital, Dublin, Ireland
| | - Andrew Yates
- University College Dublin (UCD) School of Medicine, Mater Misericordiae University Hospital, Dublin, Ireland
| | - Helen Fenlon
- University College Dublin (UCD) School of Medicine, Mater Misericordiae University Hospital, Dublin, Ireland
| | | | - Conor Shields
- University College Dublin (UCD) School of Medicine, Mater Misericordiae University Hospital, Dublin, Ireland
| | - Carmel G Cronin
- University College Dublin (UCD) School of Medicine, Mater Misericordiae University Hospital, Dublin, Ireland
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Strating E, Wassenaar E, Verhagen M, Rauwerdink P, van Schelven S, de Hingh I, Rinkes IB, Boerma D, Witkamp A, Lacle M, Fodde R, Volckmann R, Koster J, Stedingk K, Giesel F, de Roos R, Poot A, Bol G, Lam M, Elias S, Kranenburg O. Fibroblast activation protein identifies Consensus Molecular Subtype 4 in colorectal cancer and allows its detection by 68Ga-FAPI-PET imaging. Br J Cancer 2022; 127:145-155. [PMID: 35296803 PMCID: PMC9276750 DOI: 10.1038/s41416-022-01748-z] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/01/2021] [Revised: 01/13/2022] [Accepted: 02/08/2022] [Indexed: 12/14/2022] Open
Abstract
Background In colorectal cancer (CRC), the consensus molecular subtype 4 (CMS4) is associated with therapy resistance and poor prognosis. Clinical diagnosis of CMS4 is hampered by locoregional and temporal variables influencing CMS classification. Diagnostic tools that comprehensively detect CMS4 are therefore urgently needed. Methods To identify targets for molecular CMS4 imaging, RNA sequencing data of 3232 primary CRC patients were explored. Heterogeneity of marker expression in relation to CMS4 status was assessed by analysing 3–5 tumour regions and 91.103 single-tumour cells (7 and 29 tumours, respectively). Candidate marker expression was validated in CMS4 peritoneal metastases (PM; n = 59). Molecular imaging was performed using the 68Ga-DOTA-FAPI-46 PET tracer. Results Fibroblast activation protein (FAP) mRNA identified CMS4 with very high sensitivity and specificity (AUROC > 0.91), and was associated with significantly shorter relapse-free survival (P = 0.0038). Heterogeneous expression of FAP among and within tumour lesions correlated with CMS4 heterogeneity (AUROC = 1.00). FAP expression was homogeneously high in PM, a near-homogeneous CMS4 entity. FAPI-PET identified focal and diffuse PM that were missed using conventional imaging. Extra-peritoneal metastases displayed extensive heterogeneity of tracer uptake. Conclusion FAP expression identifies CMS4 CRC. FAPI-PET may have value in the comprehensive detection of CMS4 tumours in CRC. This is especially relevant in patients with PM, for whom effective imaging tools are currently lacking. ![]()
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Affiliation(s)
- Esther Strating
- Department of Surgical Oncology, Lab Translational Oncology, University Medical Center Utrecht, Utrecht University, Utrecht, The Netherlands
| | - Emma Wassenaar
- Department of Surgical Oncology, Lab Translational Oncology, University Medical Center Utrecht, Utrecht University, Utrecht, The Netherlands.,Department of Surgery, St. Antonius Hospital, Nieuwegein, The Netherlands
| | | | - Paulien Rauwerdink
- Department of Surgical Oncology, Lab Translational Oncology, University Medical Center Utrecht, Utrecht University, Utrecht, The Netherlands.,Department of Surgery, St. Antonius Hospital, Nieuwegein, The Netherlands
| | - Susanne van Schelven
- Department of Surgical Oncology, Lab Translational Oncology, University Medical Center Utrecht, Utrecht University, Utrecht, The Netherlands
| | - Ignace de Hingh
- Department of Surgery, Catharina Hospital, Eindhoven, The Netherlands
| | - Inne Borel Rinkes
- Department of Surgical Oncology, Lab Translational Oncology, University Medical Center Utrecht, Utrecht University, Utrecht, The Netherlands
| | - Djamila Boerma
- Department of Surgery, St. Antonius Hospital, Nieuwegein, The Netherlands
| | - Arjen Witkamp
- Department of Surgical Oncology, Lab Translational Oncology, University Medical Center Utrecht, Utrecht University, Utrecht, The Netherlands
| | - Miangela Lacle
- Department of Pathology, University Medical Center Utrecht, Utrecht University, Utrecht, The Netherlands
| | - Riccardo Fodde
- Department of Pathology, Erasmus MC, Rotterdam, Netherlands
| | - Richard Volckmann
- Department of Oncogenomics, Amsterdam University Medical Center, Amsterdam, The Netherlands
| | - Jan Koster
- Department of Oncogenomics, Amsterdam University Medical Center, Amsterdam, The Netherlands
| | - Kris Stedingk
- Department of Oncogenomics, Amsterdam University Medical Center, Amsterdam, The Netherlands
| | - Frederik Giesel
- Department of Nuclear Medicine, University Hospital Heidelberg, Heidelberg, Germany.,Department of Nuclear Medicine, Medical Faculty, Heinrich-Heine-University, University Hospital Dusseldorf, Dusseldorf, Germany
| | - Remmert de Roos
- Department of Radiology, University Medical Center Utrecht, Utrecht University, Utrecht, The Netherlands
| | - Alex Poot
- Department of Radiology, University Medical Center Utrecht, Utrecht University, Utrecht, The Netherlands
| | - Guus Bol
- Department of Medical Oncology, University Medical Center Utrecht, Utrecht University, Utrecht, The Netherlands
| | - Marnix Lam
- Department of Radiology, University Medical Center Utrecht, Utrecht University, Utrecht, The Netherlands.
| | - Sjoerd Elias
- Department of Epidemiology, Julius Center for Health Sciences and Primary Care, University Medical Center Utrecht, Utrecht University, Utrecht, The Netherlands.
| | - Onno Kranenburg
- Department of Surgical Oncology, Lab Translational Oncology, University Medical Center Utrecht, Utrecht University, Utrecht, The Netherlands. .,Utrecht Platform for Organoid Technology, Utrecht University, Utrecht, The Netherlands.
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48
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Campos NMF, Almeida V, Curvo Semedo L. Peritoneal disease: key imaging findings that help in the differential diagnosis. Br J Radiol 2022; 95:20210346. [PMID: 34767464 PMCID: PMC8822557 DOI: 10.1259/bjr.20210346] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/03/2023] Open
Abstract
The peritoneum is a unique serosal membrane, which can be the site of primary tumors and, more commonly, secondary pathologic processes. Peritoneal carcinomatosis is the most common malignant condition to affect the peritoneal cavity, and the radiologist plays an important role in making the diagnosis and assessing the extent of disease, especially in sites that may hinder surgery. In this review, we address the role of the radiologist in the setting of peritoneal pathology, focusing on peritoneal carcinomatosis as this is the predominant malignant process, followed by revising typical imaging findings that can guide the differential diagnosis.We review the most frequent primary and secondary peritoneal tumor and tumor-like lesions, proposing a systemic approach based on clinical history and morphological appearance, namely distinguishing predominantly cystic from solid lesions, both solitary and multiple.
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Affiliation(s)
- Nuno M F Campos
- Department of Medical Imaging, Coimbra Hospital and University Centre, Coimbra, Portugal
| | - Vânia Almeida
- Department of Pathology, Coimbra Hospital and University Centre, Coimbra, Portugal
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Kim YJ, Kim CH. Treatment for Peritoneal Metastasis of Patients With Colorectal Cancer. Ann Coloproctol 2021; 37:425-433. [PMID: 34961304 PMCID: PMC8717073 DOI: 10.3393/ac.2021.00920.0131] [Citation(s) in RCA: 20] [Impact Index Per Article: 6.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/25/2021] [Accepted: 11/15/2021] [Indexed: 02/06/2023] Open
Abstract
From the perspective of survival outcomes, the cancer survival of colorectal cancer (CRC) in the whole stage has improved. Peritoneal metastasis (PM) is found in approximately 8% to 15% of patients with CRC, with a poorer prognosis than that associated with other sites of metastases. Randomized controlled trials and up-to-date meta-analyses provide firm evidence that cytoreductive surgery (CRS) plus hyperthermic intraperitoneal chemotherapy (HIPEC) could significantly improve overall survival compared with systemic chemotherapy alone in selected patients with CRC-PM. Practical guidelines recommend that the management of CRC-PM should be led by a multidisciplinary team carried out in experienced centers and consider CRS plus HIPEC for selected patients. In this review, we aim to provide the latest results of land mark studies and an overview of recent insights with regard to the management of CRC-PM.
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Affiliation(s)
- Young Jin Kim
- Department of Surgery, Seokjeong Wellpark Hospital, Gochang, Korea
| | - Chang Hyun Kim
- Division of Colorectal Surgery, Department of Surgery, Chonnam National University Hwasun Hospital, Chonnam National University Medical School, Hwasun, Korea
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50
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Peritoneal Metastasis: Current Status and Treatment Options. Cancers (Basel) 2021; 14:cancers14010060. [PMID: 35008221 PMCID: PMC8750973 DOI: 10.3390/cancers14010060] [Citation(s) in RCA: 6] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/25/2021] [Revised: 12/16/2021] [Accepted: 12/20/2021] [Indexed: 12/21/2022] Open
Abstract
Simple Summary Surgical and locoregional treatments of peritoneal metastasis, e.g., from colorectal cancer, has gained increasing acceptance after the publication of excellent patient outcomes from many groups around the world. Apart from systemic chemotherapy and surgical removal of the tumor, locoregional therapies such as HIPEC or PIPAC may improve tumor control. Understanding the molecular characteristics of peritoneal metastasis is crucial to evolve future therapeutic strategies for peritoneal metastasis. This includes the genetic background of PM, which is often different from other sites of metastasis, and promotes peritoneal dissemination and the growth of tumor cells. Growing knowledge and insight into the physiology of the peritoneal tumor microenvironment and the specific role of the immune system in this compartment may provide a critical step to move locoregional therapy to the next level. This review summarizes the current knowledge and highlights the molecular characteristics of peritoneal metastasis. Abstract Peritoneal metastasis (PM) originating from gastrointestinal cancer was considered a terminal disease until recently. The advent of better systemic treatment, a better understanding of prognostic factors, and finally, the advent of novel loco-regional therapies, has opened the door for the multimodal treatment of PM. These strategies, including radical surgery and hyperthermic intraperitoneal chemotherapy (HIPEC) showed surprisingly good results, leading to the prolonged survival of patients with peritoneal metastasis. This has triggered a significant body of research, leading to the molecular characterization of PM, which may further help in the development of novel treatments. This review summarizes current evidence on peritoneal metastasis and explores potential novel mechanisms and therapeutic approaches to treat patients with peritoneal metastasis.
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