Skip to main content
Hauptrubriken
CME Facharzt-Training Webinare Zeitschriften Bücher e.Medpedia Podcast
Service
Jobbörse Info & Hilfe
Fachgebiete
Anästhesiologie Allgemeinmedizin Arbeitsmedizin Augenheilkunde Chirurgie Dermatologie Gynäkologie und Geburtshilfe HNO Innere Medizin Kardiologie Neurologie Onkologie und Hämatologie Orthopädie und Unfallchirurgie Pädiatrie Pathologie Psychiatrie Radiologie Rechtsmedizin Urologie Zahnmedizin
Themen
Typ-2-Diabetes und Adipositas Klimawandel und Gesundheit Neues aus dem Markt COVID-19 Praxis und Beruf Seltene Erkrankungen GOÄ & EBM Panorama
Sammlungen
Kasuistiken Algorithmen & Infografiken Blickdiagnosen Arthropedia FlapFinder (für Dermatochirurgen) Videos Kongressberichterstattung Medizin für Apothekerinnen und Apotheker Für Ärztinnen und Ärzte in Weiterbildung Für Medizinstudierende

Die Highlights vom Kongress des American College of Cardiology 2024

Im April diskutierten die Herz-Kreislauf-Spezialisten aus der ganzen Welt auf dem  Kongress des American College of Cardiology (ACC) u.a. neue Therapieansätze bei akutem Myokardinfarkt, koronarer Herzerkrankung, kardiogenem Schock oder Aortenklappenstenose. In unserem Kongress-Dossier haben wir für Sie Berichte über die „Late-Breaking Trials“ und andere wichtige Studien zusammengestellt. 
Erweiterte Suche
Anmelden
nach oben
Abdominal Radiology
Erschienen in: Abdominal Radiology 12/2023

03.10.2023 | Review

Imaging advances in efficacy assessment of gastric cancer neoadjuvant chemotherapy

verfasst von: Juan Deng, Wenjuan Zhang, Min Xu, Junlin Zhou

Erschienen in: Abdominal Radiology | Ausgabe 12/2023

Einloggen, um Zugang zu erhalten

Abstract

Effective neoadjuvant chemotherapy (NAC) can improve the survival of patients with locally progressive gastric cancer, but chemotherapeutics do not always exhibit good efficacy in all patients. Therefore, accurate preoperative evaluation of the effect of neoadjuvant therapy and the appropriate selection of surgery time to minimize toxicity and complications while prolonging patient survival are key issues that need to be addressed. This paper reviews the role of three imaging methods, morphological, functional, radiomics, and artificial intelligence (AI)-based imaging, in evaluating NAC pathological reactions for gastric cancer. In addition, the advantages and disadvantages of each method and the future application prospects are discussed.

Graphical abstract

Literatur
1.
1 Sung H, Ferlay J, Siegel RL, Laversanne M, Soerjomataram I, Jemal A, Bray F. Global Cancer Statistics 2020: GLOBOCAN Estimates of Incidence and Mortality Worldwide for 36 Cancers in 185 Countries. CA Cancer J Clin. 2021. 71(3): 209-249.PubMedCrossRef
2.
The global, regional, and national burden of stomach cancer in 195 countries, 1990-2017: a systematic analysis for the Global Burden of Disease study 2017. Lancet Gastroenterol Hepatol. 2020. 5(1): 42-54.
3.
3 Sasako M, Sakuramoto S, Katai H, et al. Five-year outcomes of a randomized phase III trial comparing adjuvant chemotherapy with S-1 versus surgery alone in stage II or III gastric cancer. J Clin Oncol. 2011. 29(33): 4387-93.PubMedCrossRef
4.
4 Cunningham D, Allum WH, Stenning SP, et al. Perioperative chemotherapy versus surgery alone for resectable gastroesophageal cancer. N Engl J Med. 2006. 355(1): 11-20.PubMedCrossRef
5.
5 Russell MC. Comparison of neoadjuvant versus a surgery first approach for gastric and esophagogastric cancer. J Surg Oncol. 2016. 114(3): 296-303.PubMedCrossRef
6.
Ajani JA, D'Amico TA, Bentrem DJ, et al. Gastric Cancer, Version 2.2022, NCCN Clinical Practice Guidelines in Oncology. J Natl Compr Canc Netw. 2022. 20(2): 167-192.
7.
8.
8 D'Ugo D, Persiani R, Rausei S, et al. Response to neoadjuvant chemotherapy and effects of tumor regression in gastric cancer. Eur J Surg Oncol. 2006. 32(10): 1105-9.PubMedCrossRef
9.
9 Lowy AM, Mansfield PF, Leach SD, Pazdur R, Dumas P, Ajani JA. Response to neoadjuvant chemotherapy best predicts survival after curative resection of gastric cancer. Ann Surg. 1999. 229(3): 303-8.PubMedPubMedCentralCrossRef
10.
10 Sylvie L, Susanne B, Katja O. Prediction of response and prognosis by a score including only pretherapeutic parameters in 410 neoadjuvant treated gastric cancer patients. Recent Results Cancer Res. 2012. 196: 269-89.PubMedCrossRef
11.
11 Zurlo IV, Schino M, Strippoli A, et al. Predictive value of NLR, TILs (CD4+/CD8+) and PD-L1 expression for prognosis and response to preoperative chemotherapy in gastric cancer. Cancer Immunol Immunother. 2022. 71(1): 45-55.PubMedCrossRef
12.
12 Jia Y, Ye L, Ji K, et al. Death-associated protein-3, DAP-3, correlates with preoperative chemotherapy effectiveness and prognosis of gastric cancer patients following perioperative chemotherapy and radical gastrectomy. Br J Cancer. 2014. 110(2): 421-9.PubMedCrossRef
13.
13 Kwee RM, Kwee TC. Imaging in local staging of gastric cancer: a systematic review. J Clin Oncol. 2007. 25(15): 2107-16.PubMedCrossRef
14.
14 Kwee RM, Kwee TC. Imaging in assessing lymph node status in gastric cancer. Gastric Cancer. 2009. 12(1): 6-22.PubMedCrossRef
15.
15 Cardoso R, Coburn N, Seevaratnam R, et al. A systematic review and meta-analysis of the utility of EUS for preoperative staging for gastric cancer. Gastric Cancer. 2012. 15 Suppl 1: S19-26.PubMedCrossRef
16.
16 Borggreve AS, Goense L, Brenkman H, et al. Imaging strategies in the management of gastric cancer: current role and future potential of MRI. Br J Radiol. 2019. 92(1097): 20181044.PubMedPubMedCentralCrossRef
17.
17 Caivano R, Rabasco P, Lotumolo A, et al. Gastric cancer: The role of diffusion weighted imaging in the preoperative staging. Cancer Invest. 2014. 32(5): 184-90.PubMedCrossRef
18.
18 Yoshikawa T, Tanabe K, Nishikawa K, et al. Accuracy of CT staging of locally advanced gastric cancer after neoadjuvant chemotherapy: cohort evaluation within a randomized phase II study. Ann Surg Oncol. 2014. 21 Suppl 3: S385-9.PubMedCrossRef
19.
Sandø AD, Fougner R, Grønbech JE, Bringeland EA. The value of restaging CT following neoadjuvant chemotherapy for resectable gastric cancer. A population-based study. World J Surg Oncol. 2021. 19(1): 212.
20.
20 Park SR, Lee JS, Kim CG, et al. Endoscopic ultrasound and computed tomography in restaging and predicting prognosis after neoadjuvant chemotherapy in patients with locally advanced gastric cancer. Cancer. 2008. 112(11): 2368-76.PubMedCrossRef
21.
Redondo-Cerezo E, Martínez-Cara JG, Jiménez-Rosales R, et al. Endoscopic ultrasound in gastric cancer staging before and after neoadjuvant chemotherapy. A comparison with PET-CT in a clinical series. United European Gastroenterol J. 2017. 5(5): 641-647.
22.
22 Peng T, Lou Z, Wang X, et al. Clinical Comparison of Endoscopic Ultrasonography and CT in Preoperative TN Staging of Esophagogastric Junction Cancer. Contrast Media Mol Imaging. 2022. 2022: 5810405.PubMedPubMedCentralCrossRef
23.
23 Guo T, Yao F, Yang AM, et al. Endoscopic ultrasound in restaging and predicting pathological response for advanced gastric cancer patients after neoadjuvant chemotherapy. Asia Pac J Clin Oncol. 2014. 10(2): e28-32.PubMedCrossRef
24.
Eisenhauer EA, Therasse P, Bogaerts J, et al. New response evaluation criteria in solid tumours: revised RECIST guideline (version 1.1). Eur J Cancer. 2009. 45(2): 228-47.
25.
25 Kurokawa Y, Shibata T, Sasako M, et al. Validity of response assessment criteria in neoadjuvant chemotherapy for gastric cancer (JCOG0507-A). Gastric Cancer. 2014. 17(3): 514-21.PubMedCrossRef
26.
26 Mazzei MA, Bagnacci G, Gentili F, et al. Gastric Cancer Maximum Tumour Diameter Reduction Rate at CT Examination as a Radiological Index for Predicting Histopathological Regression after Neoadjuvant Treatment: A Multicentre GIRCG Study. Gastroenterol Res Pract. 2018. 2018: 1794524.PubMedPubMedCentralCrossRef
27.
27 Wang ZL, Li YL, Li XT, Tang L, Li ZY, Sun YS. Role of CT in the prediction of pathological complete response in gastric cancer after neoadjuvant chemotherapy. Abdom Radiol (NY). 2021. 46(7): 3011-3018.PubMedCrossRef
28.
28 Chen C, Dong H, Shou C, et al. The Correlation Between Computed Tomography Volumetry and Prognosis of Advanced Gastric Cancer Treated with Neoadjuvant Chemotherapy. Cancer Manag Res. 2020. 12: 759-768.PubMedPubMedCentralCrossRef
29.
29 Lee SM, Kim SH, Lee JM, et al. Usefulness of CT volumetry for primary gastric lesions in predicting pathologic response to neoadjuvant chemotherapy in advanced gastric cancer. Abdom Imaging. 2009. 34(4): 430-40.PubMedCrossRef
30.
30 Beer AJ, Wieder HA, Lordick F, et al. Adenocarcinomas of esophagogastric junction: multi-detector row CT to evaluate early response to neoadjuvant chemotherapy. Radiology. 2006. 239(2): 472-80.PubMedCrossRef
31.
31 Achilli P, De Martini P, Ceresoli M, et al. Tumor response evaluation after neoadjuvant chemotherapy in locally advanced gastric adenocarcinoma: a prospective, multi-center cohort study. J Gastrointest Oncol. 2017. 8(6): 1018-1025.PubMedPubMedCentralCrossRef
32.
32 Ang J, Hu L, Huang PT, et al. Contrast-enhanced ultrasonography assessment of gastric cancer response to neoadjuvant chemotherapy. World J Gastroenterol. 2012. 18(47): 7026-32.PubMedPubMedCentralCrossRef
33.
33 Satoh A, Shuto K, Okazumi S, et al. Role of perfusion CT in assessing tumor blood flow and malignancy level of gastric cancer. Dig Surg. 2010. 27(4): 253-60.PubMedCrossRef
34.
34 Lundsgaard Hansen M, Fallentin E, Lauridsen C, Law I, et al. Computed tomography (CT) perfusion as an early predictive marker for treatment response to neoadjuvant chemotherapy in gastroesophageal junction cancer and gastric cancer--a prospective study. PLoS One. 2014. 9(5): e97605.PubMedCrossRef
35.
36 Sun ZQ, Yan G, Ge YX, et al. Can low-dose CT perfusion imaging accurately assess response of advanced gastric cancer with neoadjuvant chemotherapy. J Xray Sci Technol. 2017. 25(6): 981-991.PubMed
36.
36 Bellomi M, Petralia G, Sonzogni A, Zampino MG, Rocca A. CT perfusion for the monitoring of neoadjuvant chemotherapy and radiation therapy in rectal carcinoma: initial experience. Radiology. 2007. 244(2): 486-93.PubMedCrossRef
37.
37 Djuric-Stefanovic A, Micev M, Stojanovic-Rundic S, Pesko P, Dj S. Absolute CT perfusion parameter values after the neoadjuvant chemoradiotherapy of the squamous cell esophageal carcinoma correlate with the histopathologic tumor regression grade. Eur J Radiol. 2015. 84(12): 2477-84.PubMedCrossRef
38.
38 Becker K, Mueller JD, Schulmacher C, et al. Histomorphology and grading of regression in gastric carcinoma treated with neoadjuvant chemotherapy. Cancer. 2003. 98(7): 1521-30.PubMedCrossRef
39.
39 McCollough CH, Leng S, Yu L, Fletcher JG. Dual- and Multi-Energy CT: Principles, Technical Approaches, and Clinical Applications. Radiology. 2015. 276(3): 637-53.PubMedCrossRef
40.
40 Du W, Yu M, Luo X, Chen M. Application Value of Spectral CT Imaging in Quantitative Analysis of Early Lung Adenocarcinoma. J Oncol. 2022. 2022: 2944473.PubMedPubMedCentralCrossRef
41.
41 Zhang Y, Chen J, Yuan F, Zhang B, Ding B, Zhang H. Prognostic role of iodine values for gastric cancer after neoadjuvant chemotherapy: a strong independent prognostic factor. Diagn Interv Radiol. 2022. 28(5): 388-395.PubMedCrossRef
42.
42 Gao X, Zhang Y, Yuan F, et al. Locally advanced gastric cancer: total iodine uptake to predict the response of primary lesion to neoadjuvant chemotherapy. J Cancer Res Clin Oncol. 2018. 144(11): 2207-2218.PubMedCrossRef
43.
43 Tang L, Li ZY, Li ZW, et al. Evaluating the response of gastric carcinomas to neoadjuvant chemotherapy using iodine concentration on spectral CT: a comparison with pathological regression. Clin Radiol. 2015. 70(11): 1198-204.PubMedCrossRef
44.
44 Yang L, Li Y, Shi GF, Zhou T, Tan BB. The Concentration of Iodine in Perigastric Adipose Tissue: A Novel Index for the Assessment of Serosal Invasion in Patients with Gastric Cancer after Neoadjuvant Chemotherapy. Digestion. 2018. 98(2): 87-94.PubMedCrossRef
45.
45 Apfaltrer P, Meyer M, Meier C, et al. Contrast-enhanced dual-energy CT of gastrointestinal stromal tumors: is iodine-related attenuation a potential indicator of tumor response. Invest Radiol. 2012. 47(1): 65-70.PubMedCrossRef
46.
46 Uhrig M, Simons D, Ganten MK, Hassel JC, Schlemmer HP. Histogram analysis of iodine maps from dual energy computed tomography for monitoring targeted therapy of melanoma patients. Future Oncol. 2015. 11(4): 591-606.PubMedCrossRef
47.
47 Heijmen L, Verstappen MC, Ter Voert EE, et al. Tumour response prediction by diffusion-weighted MR imaging: ready for clinical use. Crit Rev Oncol Hematol. 2012. 83(2): 194-207.PubMedCrossRef
48.
48 Feng Y, Liu H, Ding Y, et al. Combined dynamic DCE-MRI and diffusion-weighted imaging to evaluate the effect of neoadjuvant chemotherapy in cervical cancer. Tumori. 2020. 106(2): 155-164.PubMedCrossRef
49.
49 Tong T, Sun Y, Gollub MJ, et al. Dynamic contrast-enhanced MRI: Use in predicting pathological complete response to neoadjuvant chemoradiation in locally advanced rectal cancer. J Magn Reson Imaging. 2015. 42(3): 673-80.PubMedCrossRef
50.
50 Zheng D, Lai G, Chen Y, et al. Integrating dynamic contrast-enhanced magnetic resonance imaging and diffusion kurtosis imaging for neoadjuvant chemotherapy assessment of nasopharyngeal carcinoma. J Magn Reson Imaging. 2018. 48(5): 1208-1216.PubMedCrossRef
51.
51 De Cobelli F, Giganti F, Orsenigo E, et al. Apparent diffusion coefficient modifications in assessing gastro-oesophageal cancer response to neoadjuvant treatment: comparison with tumour regression grade at histology. Eur Radiol. 2013. 23(8): 2165-74.PubMedCrossRef
52.
52 Giganti F, De Cobelli F, Canevari C, et al. Response to chemotherapy in gastric adenocarcinoma with diffusion-weighted MRI and (18) F-FDG-PET/CT: correlation of apparent diffusion coefficient and partial volume corrected standardized uptake value with histological tumor regression grade. J Magn Reson Imaging. 2014. 40(5): 1147-57.PubMedCrossRef
53.
53 Li J, Yan LL, Zhang HK, et al. Dynamic contrast-enhanced and diffusion-weighted MR imaging in early prediction of pathologic response to neoadjuvant chemotherapy in locally advanced gastric cancer. Abdom Radiol (NY). 2022. 47(10): 3394-3405.PubMedCrossRef
54.
54 Zhu Y, Jiang Z, Wang B, et al. Quantitative Dynamic-Enhanced MRI and Intravoxel Incoherent Motion Diffusion-Weighted Imaging for Prediction of the Pathological Response to Neoadjuvant Chemotherapy and the Prognosis in Locally Advanced Gastric Cancer. Front Oncol. 2022. 12: 841460.PubMedPubMedCentralCrossRef
55.
55 Le Bihan D, Breton E, Lallemand D, Aubin ML, Vignaud J, Laval-Jeantet M. Separation of diffusion and perfusion in intravoxel incoherent motion MR imaging. Radiology. 1988. 168(2): 497-505.PubMedCrossRef
56.
56 Federau C. Measuring Perfusion: Intravoxel Incoherent Motion MR Imaging. Magn Reson Imaging Clin N Am. 2021. 29(2): 233-242.PubMedCrossRef
57.
57 Fu J, Tang L, Li ZY, et al. Diffusion kurtosis imaging in the prediction of poor responses of locally advanced gastric cancer to neoadjuvant chemotherapy. Eur J Radiol. 2020. 128: 108974.PubMedCrossRef
58.
58 Jensen JH, Helpern JA, Ramani A, Lu H, Kaczynski K. Diffusional kurtosis imaging: the quantification of non-gaussian water diffusion by means of magnetic resonance imaging. Magn Reson Med. 2005. 53(6): 1432-40.PubMedCrossRef
59.
59 Sun K, Chen X, Chai W, et al. Breast Cancer: Diffusion Kurtosis MR Imaging-Diagnostic Accuracy and Correlation with Clinical-Pathologic Factors. Radiology. 2015. 277(1): 46-55.PubMedCrossRef
60.
60 Stahl A, Ott K, Schwaiger M, Weber WA. Comparison of different SUV-based methods for monitoring cytotoxic therapy with FDG PET. Eur J Nucl Med Mol Imaging. 2004. 31(11): 1471-8.PubMedCrossRef
61.
61 Wieder HA, Ott K, Lordick F, et al. Prediction of tumor response by FDG-PET: comparison of the accuracy of single and sequential studies in patients with adenocarcinomas of the esophagogastric junction. Eur J Nucl Med Mol Imaging. 2007. 34(12): 1925-32.PubMedCrossRef
62.
62 Mi L, Zhao Y, Zhao X, et al. (18)F-Fluorodeoxyglucose Positron Emission Tomography-Computed Tomography Metabolic Parameters Before and After Neoadjuvant Chemotherapy Can Predict the Postoperative Prognosis of Locally Advanced Gastric Cancer. Cancer Biother Radiopharm. 2021. 36(8): 662-671.PubMed
63.
63 Güç ZG, Turgut B, Avci A, Cengiz F, Eren Kalender M, Alacacioğlu A. Predicting pathological response and overall survival in locally advanced gastric cancer patients undergoing neoadjuvant chemotherapy: the role of PET/computed tomography. Nucl Med Commun. 2022. 43(5): 560-567.PubMedCrossRef
64.
64 Ott K, Herrmann K, Schuster T, et al. Molecular imaging of proliferation and glucose utilization: utility for monitoring response and prognosis after neoadjuvant therapy in locally advanced gastric cancer. Ann Surg Oncol. 2011. 18(12): 3316-23.PubMedCrossRef
65.
65 Vallböhmer D, Hölscher AH, Schneider PM, et al. [18F]-fluorodeoxyglucose-positron emission tomography for the assessment of histopathologic response and prognosis after completion of neoadjuvant chemotherapy in gastric cancer. J Surg Oncol. 2010. 102(2): 135-40.PubMedCrossRef
66.
66 Schneider PM, Eshmuminov D, Rordorf T, et al. 18FDG-PET-CT identifies histopathological non-responders after neoadjuvant chemotherapy in locally advanced gastric and cardia cancer: cohort study. BMC Cancer. 2018. 18(1): 548.PubMedPubMedCentralCrossRef
67.
67 Chen Q, Zhang L, Liu S, et al. Radiomics in precision medicine for gastric cancer: opportunities and challenges. Eur Radiol. 2022. 32(9): 5852-5868.PubMedCrossRef
68.
68 Li Z, Zhang D, Dai Y, et al. Computed tomography-based radiomics for prediction of neoadjuvant chemotherapy outcomes in locally advanced gastric cancer: A pilot study. Chin J Cancer Res. 2018. 30(4): 406-414.PubMedPubMedCentralCrossRef
69.
69 Sun KY, Hu HT, Chen SL, et al. CT-based radiomics scores predict response to neoadjuvant chemotherapy and survival in patients with gastric cancer. BMC Cancer. 2020. 20(1): 468.PubMedPubMedCentralCrossRef
70.
70 Wang W, Peng Y, Feng X, et al. Development and Validation of a Computed Tomography-Based Radiomics Signature to Predict Response to Neoadjuvant Chemotherapy for Locally Advanced Gastric Cancer. JAMA Netw Open. 2021. 4(8): e2121143.PubMedPubMedCentralCrossRef
71.
71 Xie K, Cui Y, Zhang D, et al. Pretreatment Contrast-Enhanced Computed Tomography Radiomics for Prediction of Pathological Regression Following Neoadjuvant Chemotherapy in Locally Advanced Gastric Cancer: A Preliminary Multicenter Study. Front Oncol. 2021. 11: 770758.PubMedCrossRef
72.
72 Chen Y, Xu W, Li YL, et al. CT-Based Radiomics Showing Generalization to Predict Tumor Regression Grade for Advanced Gastric Cancer Treated With Neoadjuvant Chemotherapy. Front Oncol. 2022. 12: 758863.PubMedPubMedCentralCrossRef
73.
73 Song R, Cui Y, Ren J, et al. CT-based radiomics analysis in the prediction of response to neoadjuvant chemotherapy in locally advanced gastric cancer: A dual-center study. Radiother Oncol. 2022. 171: 155-163.PubMedCrossRef
74.
74 Xu Q, Sun Z, Li X, et al. Advanced gastric cancer: CT radiomics prediction and early detection of downstaging with neoadjuvant chemotherapy. Eur Radiol. 2021. 31(11): 8765-8774.PubMedPubMedCentralCrossRef
75.
75 Chen Y, Wei K, Liu D, et al. A Machine Learning Model for Predicting a Major Response to Neoadjuvant Chemotherapy in Advanced Gastric Cancer. Front Oncol. 2021. 11: 675458.PubMedPubMedCentralCrossRef
76.
Li J, Yin H, Wang Y, et al. Multiparametric MRI-based radiomics nomogram for early prediction of pathological response to neoadjuvant chemotherapy in locally advanced gastric cancer. Eur Radiol. 2022 .
77.
Li J, Zhang HL, Yin HK, et al. Comparison of MRI and CT-Based Radiomics and Their Combination for Early Identification of Pathological Response to Neoadjuvant Chemotherapy in Locally Advanced Gastric Cancer. J Magn Reson Imaging. 2022 .
78.
78 Mazzei MA, Di Giacomo L, Bagnacci G, et al. Delta-radiomics and response to neoadjuvant treatment in locally advanced gastric cancer-a multicenter study of GIRCG (Italian Research Group for Gastric Cancer). Quant Imaging Med Surg. 2021. 11(6): 2376-2387.PubMedPubMedCentralCrossRef
79.
79 Chartrand G, Cheng PM, Vorontsov E, et al. Deep Learning: A Primer for Radiologists. Radiographics. 2017. 37(7): 2113-2131.PubMedCrossRef
80.
80 Zhang J, Cui Y, Wei K, et al. Deep learning predicts resistance to neoadjuvant chemotherapy for locally advanced gastric cancer: a multicenter study. Gastric Cancer. 2022. 25(6): 1050-1059.PubMedCrossRef
81.
81 Cui Y, Zhang J, Li Z, et al. A CT-based deep learning radiomics nomogram for predicting the response to neoadjuvant chemotherapy in patients with locally advanced gastric cancer: A multicenter cohort study. EClinicalMedicine. 2022. 46: 101348.PubMedPubMedCentralCrossRef
Metadaten
Titel
Imaging advances in efficacy assessment of gastric cancer neoadjuvant chemotherapy
verfasst von
Juan Deng
Wenjuan Zhang
Min Xu
Junlin Zhou
Publikationsdatum
03.10.2023
Verlag
Springer US
Erschienen in
Abdominal Radiology / Ausgabe 12/2023
Print ISSN: 2366-004X
Elektronische ISSN: 2366-0058
DOI
https://doi.org/10.1007/s00261-023-04046-1

Weitere Artikel der Ausgabe 12/2023

Abdominal Radiology 12/2023 Zur Ausgabe

Pelvis

Artificial intelligence as diagnostic aiding tool in cases of Prostate Imaging Reporting and Data System category 3: the results of retrospective multi-center cohort study

Peritoneum

FDG-PET/MRI for the preoperative diagnosis and staging of peritoneal carcinomatosis: a prospective multireader pilot study

Special Section: PET/MR

PET/MRI in colorectal and anal cancers: an update

Letter to the Editor

Reply to “Letter to the editor”

Letter to the Editor

Letter to the Editor regarding the article “Rectal cancer lexicon 2023 revised and updated consensus statement from the Society of Abdominal Radiology Colorectal and Anal Cancer Disease‑Focused Panel” by Sonia Lee et al.

Kidneys, Ureters, Bladder, Retroperitoneum

Differentiation between renal epithelioid angiomyolipoma and clear cell renal cell carcinoma using clear cell likelihood score

Neu im Fachgebiet Radiologie

„Übersichtlicher Wegweiser“: Lauterbachs umstrittener Klinik-Atlas ist online

17.05.2024 Klinik aktuell Nachrichten

Sie sei „ethisch geboten“, meint Gesundheitsminister Karl Lauterbach: mehr Transparenz über die Qualität von Klinikbehandlungen. Um sie abzubilden, lässt er gegen den Widerstand vieler Länder einen virtuellen Klinik-Atlas freischalten.

Klinikreform soll zehntausende Menschenleben retten

15.05.2024 Klinik aktuell Nachrichten

Gesundheitsminister Lauterbach hat die vom Bundeskabinett beschlossene Klinikreform verteidigt. Kritik an den Plänen kommt vom Marburger Bund. Und in den Ländern wird über den Gang zum Vermittlungsausschuss spekuliert.

Darf man die Behandlung eines Neonazis ablehnen?

08.05.2024 Gesellschaft Nachrichten

In einer Leseranfrage in der Zeitschrift Journal of the American Academy of Dermatology möchte ein anonymer Dermatologe bzw. eine anonyme Dermatologin wissen, ob er oder sie einen Patienten behandeln muss, der eine rassistische Tätowierung trägt.

Ein Drittel der jungen Ärztinnen und Ärzte erwägt abzuwandern

07.05.2024 Klinik aktuell Nachrichten

Extreme Arbeitsverdichtung und kaum Supervision: Dr. Andrea Martini, Sprecherin des Bündnisses Junge Ärztinnen und Ärzte (BJÄ) über den Frust des ärztlichen Nachwuchses und die Vorteile des Rucksack-Modells.

Update Radiologie

Bestellen Sie unseren Fach-Newsletter und bleiben Sie gut informiert.

Newsletter bestellen
Bildnachweise