Abstract
The latest developments in cancer immunotherapy, namely the introduction of immune checkpoint inhibitors, have led to a fundamental change in advanced cancer treatments. Imaging is crucial to identify tumor response accurately and delineate prognosis in immunotherapy-treated patients. Simultaneously, advances in image acquisition techniques, notably functional and molecular imaging, have facilitated more accurate pretreatment evaluation, assessment of response to therapy, and monitoring for tumor recurrence. Traditional approaches to assessing tumor progression, such as RECIST, rely on changes in tumor size, while new strategies for evaluating tumor response to therapy, such as the mRECIST and the EASL, rely on tumor enhancement. Moreover, the assessment of tumor volume, enhancement, cellularity, and perfusion are some novel techniques that have been investigated. Validation of these novel approaches should rely on comparing their results with those of standard evaluation methods (EASL, mRECIST) while considering the ultimate outcome, which is patient survival. More recently, immunotherapy has been used in the management of primary liver tumors. However, little is known about its efficacy. This article reviews imaging modalities and techniques for assessing tumor response and survival in immunotherapy-treated patients with primary hepatic malignancies.
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Abbreviations
- CCA :
-
Cholangiocarcinoma
- CT :
-
Computed tomography
- CTLA4 :
-
Cytotoxic T-lymphocyte-associated protein 4
- DCA :
-
Decision curve analysis
- DEB-TACE :
-
Drug-eluting beads trans-arterial chemoembolization
- DNA :
-
Deoxyribonucleic acid
- EASL :
-
European Association for the Study of the Liver
- EP :
-
Early progression
- FDG :
-
Fluorodeoxyglucose
- HCC :
-
Hepatocellular carcinoma
- ICI :
-
Immune-checkpoint inhibitors
- ICIs :
-
Immune checkpoint inhibitors
- ICC :
-
Intrahepatic cholangiocarcinoma
- irRC :
-
Immune-related response criteria
- mRECIST :
-
Modified Response Evaluation Criteria in Solid Tumors
- MRI :
-
Magnetic resonance imaging
- MTM :
-
Macrotrabecular-massive
- PDL1 :
-
Programmed death ligand-1
- PD-1/PD-L1 :
-
Programmed cell death protein 1/Programmed death-ligand 1
- PD :
-
Progressive disease
- PET :
-
Positron emission tomography
- PFS :
-
Progression-free survival
- Rad-score :
-
Radiomics score
- RECIST :
-
Response Evaluation Criteria in Solid Tumors
- SOC :
-
Standard of care
- T-cell :
-
T-lymphocyte
- TME :
-
Tumor micro environment
- VEGF-A :
-
Vascular endothelial growth factor A
- WHO :
-
World Health Organization.
References
Nishino M, Hatabu H, Hodi FS. Imaging of Cancer Immunotherapy: Current Approaches and Future Directions. Radiology. 2019;290(1):9-22.
Nishino M, Jagannathan JP, Krajewski KM, O'Regan K, Hatabu H, Shapiro G, et al. Personalized tumor response assessment in the era of molecular medicine: cancer-specific and therapy-specific response criteria to complement pitfalls of RECIST. AJR Am J Roentgenol. 2012;198(4):737-45.
Schwartz LH, Litière S, de Vries E, Ford R, Gwyther S, Mandrekar S, et al. RECIST 1.1-Update and clarification: From the RECIST committee. Eur J Cancer. 2016;62:132-7.
Gok Yavuz B, Hasanov E, Lee SS, Mohamed YI, Curran MA, Koay EJ, et al. Current Landscape and Future Directions of Biomarkers for Immunotherapy in Hepatocellular Carcinoma. J Hepatocell Carcinoma. 2021;8:1195-207.
Müller L, Gairing SJ, Kloeckner R, Foerster F, Schleicher EM, Weinmann A, Mittler J, Stoehr F, Halfmann MC, Düber C, Galle PR, Hahn F. The prognostic role of early tumor shrinkage in patients with hepatocellular carcinoma undergoing immunotherapy. Cancer Imaging. 2022;22(1):54
Jana M, Gamanagatti S. Transjugular liver biopsy: tips and tricks. Tropical Gastroenterology. 2012;33(3):169-72.
Armstrong S, Prins P, He ARJHR. Immunotherapy and immunotherapy biomarkers for hepatocellular carcinoma. Hepatoma Res. 2021;7:18.
Sun L, Mu L, Zhou J, Tang W, Zhang L, Xie S, et al. Imaging features of gadoxetic acid-enhanced MR imaging for evaluation of tumor-infiltrating CD8 cells and PD-L1 expression in hepatocellular carcinoma. Cancer Immunol Immunother. 2022;71(1):25-38.
Thoeny HC, Ross BD. Predicting and monitoring cancer treatment response with diffusion-weighted MRI. Journal of magnetic resonance imaging : JMRI. 2010;32(1):2-16.
Wang DK, Zuo Q, He QY, Li B. Targeted Immunotherapies in Gastrointestinal Cancer: From Molecular Mechanisms to Implications. Frontiers in immunology. 2021;12:705999.
Greten TF, Schwabe R, Bardeesy N, Ma L, Goyal L, Kelley RK, Wang XW. Immunology and immunotherapy of cholangiocarcinoma. Nat Rev Gastroenterol Hepatol. 2023;20(6):349-365
Sung H, Ferlay J, Siegel RL, Laversanne M, Soerjomataram I, Jemal A, et al. Global cancer statistics 2020: GLOBOCAN estimates of incidence and mortality worldwide for 36 cancers in 185 countries. CA: a cancer journal for clinicians. 2021;71(3):209-49.
Singal AG, Lampertico P, Nahon P. Epidemiology and surveillance for hepatocellular carcinoma: New trends. Journal of hepatology. 2020;72(2):250-61.
Finn RS, Ikeda M, Zhu AX, Sung MW, Baron AD, Kudo M, et al. Phase Ib Study of Lenvatinib Plus Pembrolizumab in Patients With Unresectable Hepatocellular Carcinoma. J Clin Oncol. 2020;38(26):2960-70.
Llovet JM, Castet F, Heikenwalder M, Maini MK, Mazzaferro V, Pinato DJ, et al. Immunotherapies for hepatocellular carcinoma. Nature Reviews Clinical Oncology. 2022;19(3):151-72.
Foerster F, Gairing SJ, Ilyas SI, Galle PR. Emerging immunotherapy for HCC: A guide for hepatologists. Hepatology. 2022;75(6):1604-26.
Sangro B, Sarobe P, Hervás-Stubbs S, Melero I. Advances in immunotherapy for hepatocellular carcinoma. Nature reviews Gastroenterology & hepatology. 2021;18(8):525-43.
Finn RS, Qin S, Ikeda M, Galle PR, Ducreux M, Kim T-Y, et al. Atezolizumab plus bevacizumab in unresectable hepatocellular carcinoma. New England Journal of Medicine. 2020;382(20):1894-905.
Ruf B, Heinrich B, Greten TF. Immunobiology and immunotherapy of HCC: spotlight on innate and innate-like immune cells. Cellular & Molecular Immunology. 2021;18(1):112-27.
Zheng Y, Wang T, Tu X, Huang Y, Zhang H, Tan D, et al. Gut microbiome affects the response to anti-PD-1 immunotherapy in patients with hepatocellular carcinoma. Journal for Immunotherapy Of Cancer. 2019;7(1):1-7.
Sheng R, Jin K, Sun W, Gao S, Zhang Y, Wu D, et al. Prediction of therapeutic response of advanced hepatocellular carcinoma to combined targeted immunotherapy by MRI. Magn Reson Imaging. 2022. 2023 Feb;96:1-7. https://doi.org/10.1016/j.mri.2022.10.011
Chen BB, Hsu CY, Yu CW, Liang PC, Hsu C, Hsu CH, et al. Dynamic Contrast-enhanced MR Imaging of Advanced Hepatocellular Carcinoma: Comparison with the Liver Parenchyma and Correlation with the Survival of Patients Receiving Systemic Therapy. Radiology. 2017;283(3):923.
Cho ES, Choi JY. MRI features of hepatocellular carcinoma related to biologic behavior. Korean J Radiol. 2015;16(3):449-64.
Song Y, Cai M, Li Y, Liu S. The focus clinical research in intrahepatic cholangiocarcinoma. Eur J Med Res. 2022;27(1):116.
Gutiérrez-Larrañaga M, González-López E, Roa-Bautista A, Rodrigues PM, Díaz-González Á, Banales JM, et al. Immune Checkpoint Inhibitors: The Emerging Cornerstone in Cholangiocarcinoma Therapy? Liver Cancer. 2021;10(6):545-60.
Yamamoto K, Ueno T, Kawaoka T, Hazama S, Fukui M, Suehiro Y, et al. MUC1 peptide vaccination in patients with advanced pancreas or biliary tract cancer. Anticancer Res. 2005;25(5):3575-9.
Lin J, Shi W, Zhao S, Hu J, Hou Z, Yao M, et al. Lenvatinib plus checkpoint inhibitors in patients (pts) with advanced intrahepatic cholangiocarcinoma (ICC): Preliminary data and correlation with next-generation sequencing. American Society of Clinical Oncology; 2018.
Zhu S, Liu C, Dong Y, Shao J, Liu B, Shen J. A Retrospective Study of Lenvatinib Monotherapy or Combined With Programmed Cell Death Protein 1 Antibody in the Treatment of Patients With Hepatocellular Carcinoma or Intrahepatic Cholangiocarcinoma in China. Front Oncol. 2021;11:788635.
Eisenhauer EA, Therasse P, Bogaerts J, Schwartz LH, Sargent D, Ford R, et al. New response evaluation criteria in solid tumours: revised RECIST guideline (version 1.1). Eur J Cancer. 2009;45(2):228-47.
Lencioni R, Llovet JM. Modified RECIST (mRECIST) assessment for hepatocellular carcinoma. Semin Liver Dis. 2010;30(1):52-60
Chiou VL, Burotto M. Pseudoprogression and Immune-Related Response in Solid Tumors. J Clin Oncol. 2015;33(31):3541-3.
Cheng A-L, Qin S, Ikeda M, Galle PR, Ducreux M, Kim T-Y, et al. Updated efficacy and safety data from IMbrave150: Atezolizumab plus bevacizumab vs. sorafenib for unresectable hepatocellular carcinoma. Journal of Hepatology. 2022;76(4):862-73.
Wolchok JD, Hoos A, O'Day S, Weber JS, Hamid O, Lebbé C, et al. Guidelines for the evaluation of immune therapy activity in solid tumors: immune-related response criteria. Clin Cancer Res. 2009;15(23):7412-20.
Hodi FS, Hwu WJ, Kefford R, Weber JS, Daud A, Hamid O, et al. Evaluation of Immune-Related Response Criteria and RECIST v1.1 in Patients With Advanced Melanoma Treated With Pembrolizumab. J Clin Oncol. 2016;34(13):1510-7.
Miller AB, Hoogstraten B, Staquet M, Winkler A. Reporting results of cancer treatment. Cancer. 1981;47(1):207-14.
Therasse P, Arbuck SG, Eisenhauer EA, Wanders J, Kaplan RS, Rubinstein L, et al. New guidelines to evaluate the response to treatment in solid tumors. Journal of the National Cancer Institute. 2000;92(3):205-16.
Nishino M, Guo M, Jackman DM, DiPiro PJ, Yap JT, Ho TK, et al. CT tumor volume measurement in advanced non-small-cell lung cancer: performance characteristics of an emerging clinical tool. Academic Radiology. 2011;18(1):54-62.
Llovet JM, Lencioni R. mRECIST for HCC: performance and novel refinements. Journal of Hepatology. 2020;72(2):288-306.
Nishino M, Giobbie-Hurder A, Gargano M, Suda M, Ramaiya NH, Hodi FS. Developing a common language for tumor response to immunotherapy: immune-related response criteria using unidimensional measurements. Clin Cancer Res. 2013;19(14):3936-43.
Bohnsack O, Hoos A, Ludajic K. Adaptation of the immune related response criteria: irRECIST. Annals of Oncology. 2014;25:iv369.
Seymour L, Bogaerts J, Perrone A, Ford R, Schwartz LH, Mandrekar S, et al. iRECIST: guidelines for response criteria for use in trials testing immunotherapeutics. The Lancet Oncology. 2017;18(3):e143-e52.
Pandey A, Pandey P, Ghasabeh MA, Zarghampour M, Khoshpouri P, Ameli S, et al. Baseline volumetric multiparametric MRI: can it be used to predict survival in patients with unresectable intrahepatic cholangiocarcinoma undergoing transcatheter arterial chemoembolization? Radiology 2018;289(3):843-53.
Tacher V, Lin M, Duran R, Yarmohammadi H, Lee H, Chapiro J, et al. Comparison of Existing Response Criteria in Patients with Hepatocellular Carcinoma Treated with Transarterial Chemoembolization Using a 3D Quantitative Approach. Radiology. 2016;278(1):275-84.
van Heeswijk MM, Lambregts DM, van Griethuysen JJ, Oei S, Rao SX, de Graaff CA, et al. Automated and Semiautomated Segmentation of Rectal Tumor Volumes on Diffusion-Weighted MRI: Can It Replace Manual Volumetry? Int J Radiat Oncol Biol Phys. 2016;94(4):824-31.
Jiménez Pérez M, Grande RG. Application of artificial intelligence in the diagnosis and treatment of hepatocellular carcinoma: A review. World Journal of Gastroenterology. 2020;26(37):5617-28.
Moawad AW, Fuentes D, Khalaf AM, Blair KJ, Szklaruk J, Qayyum A, et al. Feasibility of Automated Volumetric Assessment of Large Hepatocellular Carcinomas' Responses to Transarterial Chemoembolization. Front Oncol. 2020;10:572.
Lewis H, Ghasabeh M, Khoshpouri P, Kamel I, Pawlik TJSO. Functional hepatic Imaging as a biomarker of primary and secondary tumor response to loco-regional therapies. Surgical Oncology 2017;26(4):411-22.
Zhou Y, Yang G, Gong XQ, Tao YY, Wang R, Zheng J, et al. A study of the correlations between IVIM-DWI parameters and the histologic differentiation of hepatocellular carcinoma. Scientific Reports. 2021;11(1):10392.
Taouli B, Johnson RS, Hajdu CH, Oei MT, Merad M, Yee H, et al. Hepatocellular carcinoma: perfusion quantification with dynamic contrast-enhanced MRI. AJR American journal of roentgenology. 2013;201(4):795-800.
Ippolito D, Sironi S, Pozzi M, Antolini L, Ratti L, Meloni F, et al. Perfusion computed tomographic assessment of early hepatocellular carcinoma in cirrhotic liver disease: initial observations. Journal of computer assisted tomography. 2008;32(6):855-8.
Aliyari Ghasabeh M, Shaghaghi M, Pandey A, Ameli S, Ambale Venkatesh B, Jacob A, et al. Integrating baseline MR imaging biomarkers into BCLC and CLIP improves overall survival prediction of patients with hepatocellular carcinoma (HCC). European radiology. 2021;31(3):1630-41.
Gordic S, Wagner M, Zanato R, Hectors S, Besa C, Kihira S, et al. Prediction of hepatocellular carcinoma response to (90)Yttrium radioembolization using volumetric ADC histogram quantification: preliminary results. Cancer Imaging. 2019;19(1):29.
Pandey A, Pandey P, Ghasabeh MA, Zarghampour M, Khoshpouri P, Ameli S, et al. Baseline Volumetric Multiparametric MRI: Can It Be Used to Predict Survival in Patients with Unresectable Intrahepatic Cholangiocarcinoma Undergoing Transcatheter Arterial Chemoembolization? Radiology. 2018;289(3):843-53.
Ameli S, Shaghaghi M, Aliyari Ghasabeh M, Pandey P, Hazhirkarzar B, Ghadimi M, et al. Role of baseline volumetric functional MRI in predicting histopathologic grade and patients' survival in hepatocellular carcinoma. European radiology. 2020;30(7):3748-58.
Sheng R, Jin K, Sun W, Gao S, Zhang Y, Wu D, et al. Prediction of therapeutic response of advanced hepatocellular carcinoma to combined targeted immunotherapy by MRI. Magnetic resonance imaging. 2022, 96:1-7.
Chong HH, Yang L, Sheng RF, Yu YL, Wu DJ, Rao SX, et al. Multi-scale and multi-parametric radiomics of gadoxetate disodium-enhanced MRI predicts microvascular invasion and outcome in patients with solitary hepatocellular carcinoma ≤ 5 cm. Eur Radiol. 2021;31(7):4824-38.
Wang X, Wang W, Ma X, Lu X, Li S, Zeng M, et al. Combined hepatocellular-cholangiocarcinoma: which preoperative clinical data and conventional MRI characteristics have value for the prediction of microvascular invasion and clinical significance? Eur Radiol. 2020;30(10):5337-47.
Borhani AA, Catania R, Velichko YS, Hectors S, Taouli B, Lewis S. Radiomics of hepatocellular carcinoma: promising roles in patient selection, prediction, and assessment of treatment response. Abdom Radiol (NY). 2021;46(8):3674-85.
Razumilava N, Gores GJ. Classification, diagnosis, and management of cholangiocarcinoma. Clin Gastroenterol Hepatol. 2013;11(1):13-21.e1.
Joo I, Lee JM, Yoon JH. Imaging Diagnosis of Intrahepatic and Perihilar Cholangiocarcinoma: Recent Advances and Challenges. Radiology. 2018;288(1):7-13.
Bridgewater JA, Goodman KA, Kalyan A, Mulcahy MF. Biliary Tract Cancer: Epidemiology, Radiotherapy, and Molecular Profiling. Am Soc Clin Oncol Educ Book. 2016;35:e194-203.
Lee J, Kim SH, Kang TW, Song KD, Choi D, Jang KT. Mass-forming Intrahepatic Cholangiocarcinoma: Diffusion-weighted Imaging as a Preoperative Prognostic Marker. Radiology. 2016;281(1):119-28.
Yamashita Y, Mitsuzaki K, Yi T, Ogata I, Nishiharu T, Urata J, et al. Small hepatocellular carcinoma in patients with chronic liver damage: prospective comparison of detection with dynamic MR imaging and helical CT of the whole liver. Radiology. 1996;200(1):79-84.
Li Q, Wei Y, Che F, Zhang T, Yao S, Zhao J, et al. Multiparametric Magnetic Resonance Imaging Improves the Prognostic Outcomes in Patients With Intrahepatic Cholangiocarcinoma After Curative-Intent Resection. Front Oncol. 2022;12:756726.
Takahashi A, Moriguchi M, Seko Y, Shima T, Mitsumoto Y, Takashima H, Kimura H, Fujii H, Ishikawa H, Takaharu Y, Ishiba H, Morita A, Jo M, Nagao Y, Arai M, Hara T, Okajima A, Muramatsu A, Yoshinami N, Nakajima T, Mitsuyoshi H, Umemura A, Nishikawa T, Yamaguchi K, Okanoue T, Itoh Y. Early Tumor Shrinkage as a Predictive Factor for Outcomes in Hepatocellular Carcinoma Patients Treated with Lenvatinib: A Multicenter Analysis. Cancers (Basel). 2020;12(3):754
Öcal O, Schinner R, Schütte K, de Toni EN, Loewe C, van Delden O, et al. Early tumor shrinkage and response assessment according to mRECIST predict overall survival in hepatocellular carcinoma patients under sorafenib. Cancer Imaging. 2022;22(1):1.
Murai H, Kodama T, Maesaka K, Tange S, Motooka D, Suzuki Y, Shigematsu Y, Inamura K, Mise Y, Saiura A, Ono Y, Takahashi Y, Kawasaki Y, Iino S, Kobayashi S, Idogawa M, Tokino T, Hashidate-Yoshida T, Shindou H, Miyazaki M, Imai Y, Tanaka S, Mita E, Ohkawa K, Hikita H, Sakamori R, Tatsumi T, Eguchi H, Morii E, Takehara T. Multiomics identifies the link between intratumor steatosis and the exhausted tumor immune microenvironment in hepatocellular carcinoma. Hepatology. 2023;77(1):77-91
Saito K, Ledsam J, Sugimoto K, Sourbron S, Araki Y, Tokuuye K. DCE-MRI for Early Prediction of Response in Hepatocellular Carcinoma after TACE and Sorafenib Therapy: A Pilot Study. Journal of the Belgian Society of Radiology. 2018;102(1):40.
Chang H, Jung W, Kim A, Kim HK, Kim WB, Kim JH, et al. Expression and prognostic significance of programmed death protein 1 and programmed death ligand-1, and cytotoxic T lymphocyte-associated molecule-4 in hepatocellular carcinoma. Apmis. 2017;125(8):690-8.
Martin-Gonzalez P, Crispin-Ortuzar M, Rundo L, Delgado-Ortet M, Reinius M, Beer L, et al., Integrative radiogenomics for virtual biopsy and treatment monitoring in ovarian cancer. Insights into imaging 2020;11(1):1-10.
Hicks SA, Strümke I, Thambawita V, Hammou M, Riegler MA, Halvorsen P, et al. On evaluation metrics for medical applications of artificial intelligence. Sci Rep. 2022;12(1):5979.
Erickson BJ, Kitamura F. Magician’s corner: 9. Performance metrics for machine learning models. Radiology: Artificial Intelligence. 2021 3(3):e200126.
Akinci D'Antonoli T, Mercaldo ND. Obsolescence of nomograms in radiomics research. Eur Radiol. 2023. https://doi.org/10.1007/s00330-023-09728-4.
Niemeijer A-LN, Sahba S, Smit EF, Lissenberg-Witte BI, de Langen AJ, Thunnissen EJBjoc. Association of tumour and stroma PD-1, PD-L1, CD3, CD4 and CD8 expression with DCB and OS to nivolumab treatment in NSCLC patients pre-treated with chemotherapy. British journal of cancer 2020;123(3):392-402.
Chen S, Feng S, Wei J, Liu F, Li B, Li X, et al., Pretreatment prediction of immunoscore in hepatocellular cancer: a radiomics-based clinical model based on Gd-EOB-DTPA-enhanced MRI imaging. European radiology 2019;29(8):4177-87.
Hectors SJ, Lewis S, Besa C, King MJ, Said D, Putra J, et al. ,MRI radiomics features predict immuno-oncological characteristics of hepatocellular carcinoma. European radiology 2020;30(7):3759-69.
Hectors SJ, Lewis S, Besa C, King MJ, Said D, Putra J, et al. MRI radiomics features predict immuno-oncological characteristics of hepatocellular carcinoma. Eur Radiol. 2020;30(7):3759-69.
Wei W, Jia G, Wu Z, Wang T, Wang H, Wei K, et al. A multidomain fusion model of radiomics and deep learning to discriminate between PDAC and AIP based on 18F-FDG PET/CT images Japanese Journal of Radiology. 2022.41(4):417
Paijens ST, Vledder A, de Bruyn M, Nijman HWJC, Tumor-infiltrating lymphocytes in the immunotherapy era. Cellular & molecular immunology. 2021;18(4):842-59.
Yu H, Meng X, Chen H, Liu J, Gao W, Du L, et al. Predicting the level of tumor-infiltrating lymphocytes in patients with breast cancer: usefulness of mammographic radiomics features. Frontiers in Oncology 2021;11:628577.
Marconato L, Sabattini S, Marisi G, Rossi F, Leone VF, Casadei-Gardini A. Sorafenib for the treatment of unresectable hepatocellular carcinoma: preliminary toxicity and activity data in dogs. Cancers (Basel). 2020;12(5):1272.
Hu S, Kang Y, Xie Y, Yang T, Yang Y, Jiao J, et al. (18)F-FDG PET/CT-based radiomics nomogram for preoperative prediction of macrotrabecular-massive hepatocellular carcinoma: a two-center study. Abdom Radiol (NY). 2022;48(2):532.
Zucchetta P, Lacognata C, Girardi F, Spimpolo A, Crimì F, Cabrelle G, et al. [18F]FDG PET/MRI in the follow-up of hepatocellular carcinoma after liver transplantation. Nucl Med Commun. 2022;43(3):359-67.
Tipaldi MA, Ronconi E, Lucertini E, Krokidis M, Zerunian M, Polidori T, Begini P, Marignani M, Mazzuca F, Caruso D, Rossi M, Laghi A. Hepatocellular carcinoma drug-eluting bead transarterial chemoembolization (DEB-TACE): outcome analysis using a model based on pre-treatment ct texture features. Diagnostics (Basel). 2021;11(6):956.
Xue C, Zhou Q, Xi H, Zhou J. Radiomics: A review of current applications and possibilities in the assessment of tumor microenvironment. Diagn Interv Imaging. 2023;104(3):113-122.
Müller J, Leger S, Zwanenburg A, Suckert T, Lühr A, Beyreuther E, et al. Radiomics-based tumor phenotype determination based on medical imaging and tumor microenvironment in a preclinical setting. Radiotherapy and Oncology 2022;169:96-104.
Arefan D, Hausler RM, Sumkin JH, Sun M, Wu S. Predicting cell invasion in breast tumor microenvironment from radiological imaging phenotypes. BMC cancer 2021;21(1):1-9.
Wang Y, Chen T, Li K, Mu W, Liu Z, Shi A, et al. Recent Advances in the Mechanism Research and Clinical Treatment of Anti-Angiogenesis in Biliary Tract Cancer. Frontiers in oncology. 2021;11:777617.
Guo X, Shen W. Latest evidence on immunotherapy for cholangiocarcinoma. Oncology letters. 2020;20(6):381.
de Miguel-Perez D, Russo A, Arrieta O, Ak M, Barron F, Gunasekaran M, et al. Extracellular vesicle PD-L1 dynamics predict durable response to immune-checkpoint inhibitors and survival in patients with non-small cell lung cancer. Journal of Experimental & Clinical Cancer Research. 2022;41(1):1-14.
Liu Z, Zhang X-Y, Shi Y-J, Wang L, Zhu H-T, Tang Z, et al. Radiomics analysis for evaluation of pathological complete response to neoadjuvant chemoradiotherapy in locally advanced rectal cancer. Clinical Cancer Research 2017;23(23):7253-62.
Wei G, Jiang P, Tang Z, Qu A, Deng X, Guo F, et al. MRI Radiomics in overall survival prediction of local advanced cervical cancer patients tread by adjuvant chemotherapy following concurrent chemoradiotherapy or concurrent chemoradiotherapy alone. Magnetic Resonance Imaging. 2022 91:81-90.
Chawla S, Kim S, Wang S, Poptani H. Diffusion-weighted imaging in head and neck cancers. Future oncology. 2009;5(7):959-75.
Nishino M, Gargano M, Suda M, Ramaiya NH, Hodi FS. Optimizing immune-related tumor response assessment: does reducing the number of lesions impact response assessment in melanoma patients treated with ipilimumab? Journal for immunotherapy of cancer. 2014;2(1):1-12.
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Ansari, G., Mirza-Aghazadeh-Attari, M., Mohseni, A. et al. Response Assessment of Primary Liver Tumors to Novel Therapies: an Imaging Perspective. J Gastrointest Surg 27, 2245–2259 (2023). https://doi.org/10.1007/s11605-023-05762-1
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DOI: https://doi.org/10.1007/s11605-023-05762-1