Pulmonary carcinoids (PCs) are rare tumors. As there is a paucity of randomized studies, this expert consensus document represents an initiative by the European Neuroendocrine Tumor Society to provide guidance on their management. Bibliographical searches were carried out in PubMed for the terms ‘pulmonary neuroendocrine tumors’, ‘bronchial neuroendocrine tumors’, ‘bronchial carcinoid tumors’, ‘pulmonary carcinoid’, ‘pulmonary typical/atypical carcinoid’, and ‘pulmonary carcinoid and diagnosis/treatment/epidemiology/prognosis’. A systematic review of the relevant literature was carried out, followed by expert review. PCs are well-differentiated neuroendocrine tumors and include low- and intermediate-grade malignant tumors, i.e. typical (TC) and atypical carcinoid (AC), respectively. Contrast CT scan is the diagnostic gold standard for PCs, but pathology examination is mandatory for their correct classification. Somatostatin receptor imaging may visualize nearly 80% of the primary tumors and is most sensitive for metastatic disease. Plasma chromogranin A can be increased in PCs. Surgery is the treatment of choice for PCs with the aim of removing the tumor and preserving as much lung tissue as possible. Resection of metastases should be considered whenever possible with curative intent. Somatostatin analogs are the first-line treatment of carcinoid syndrome and may be considered as first-line systemic antiproliferative treatment in unresectable PCs, particularly of low-grade TC and AC. Locoregional or radiotargeted therapies should be considered for metastatic disease. Systemic chemotherapy is used for progressive PCs, although cytotoxic regimens have demonstrated limited effects with etoposide and platinum combination the most commonly used, however, temozolomide has shown most clinical benefit. PCs are complex tumors which require a multidisciplinary approach and long-term follow-up.

These guidelines update previous guidance published in 2005. They have been revised by a group who are members of the UK and Ireland Neuroendocrine Tumour Society with endorsement from the clinical committees of the British Society of Gastroenterology, the Society for Endocrinology, the Association of Surgeons of Great Britain and Ireland (and its Surgical Specialty Associations), the British Society of Gastrointestinal and Abdominal Radiology and others. The authorship represents leaders of the various groups in the UK and Ireland Neuroendocrine Tumour Society, but a large amount of work has been carried out by other specialists, many of whom attended a guidelines conference in May 2009. We have attempted to represent this work in the acknowledgements section. Over the past few years, there have been advances in the management of neuroendocrine tumours, which have included clearer characterisation, more specific and therapeutically relevant diagnosis, and improved treatments. However, there remain few randomised trials in the field and the disease is uncommon, hence all evidence must be considered weak in comparison with other more common cancers.

Contrast-enhanced computed tomography (CT) of the neck-thorax-abdomen and pelvis, including 3-phase examination of the liver, constitutes the basic imaging for primary neuroendocrine tumor (NET) diagnosis, staging, surveillance, and therapy monitoring. CT characterization of lymph nodes is difficult because of inadequate size criteria (short axis diameter), and bone metastases are often missed. Contrast-enhanced magnetic resonance imaging (MRI) including diffusion-weighted imaging is preferred for the examination of the liver, pancreas, brain and bone. MRI may miss small lung metastases. MRI is less well suited than CT for the examination of extended body areas because of the longer examination procedure. Ultrasonography (US) frequently provides the initial diagnosis of liver metastases and contrast-enhanced US is excellent to characterize liver lesions that remain equivocal on CT/MRI. US is the method of choice to guide the biopsy needle for the histopathological NET diagnosis. US cannot visualize thoracic NET lesions for which CT-guided biopsy therefore is used. Endocopic US is the most sensitive method to diagnose pancreatic NETs, and additionally allows for biopsy. Intraoperative US facilitates lesion detection in the pancreas and liver. Somatostatin receptor imaging should be a part of the tumor staging, preoperative imaging and restaging, for which ⁶⁸Ga-DOTA-somatostatin analog PET/CT is recommended, which is vastly superior to somatostatin receptor scintigraphy, and facilitates the diagnosis of most types of NET lesions, for example lymph node metastases, bone metastases, liver metastases, peritoneal lesions, and primary small intestinal NETs. ¹⁸FDG-PET/CT is better suited for G3 and high G2 NETs, which generally have higher glucose metabolism and less somatostatin receptor expression than low-grade NETs, and additionally provides prognostic information.

An increasing array of tools is being developed using artificial intelligence (AI) and machine learning (ML) for cancer imaging. The development of an optimal tool requires multidisciplinary engagement to ensure that the appropriate use case is met, as well as to undertake robust development and testing prior to its adoption into healthcare systems. This multidisciplinary review highlights key developments in the field. We discuss the challenges and opportunities of AI and ML in cancer imaging; considerations for the development of algorithms into tools that can be widely used and disseminated; and the development of the ecosystem needed to promote growth of AI and ML in cancer imaging.

Many treatment options are available to patients with endometrial, cervical, or ovarian cancer. Magnetic resonance (MR) imaging plays an important role in the patient journey from the initial evaluation of the extent of the disease to appropriate treatment selection and follow-up. The purpose of this review is to highlight the added role of MR imaging in the treatment stratification and overall care of patients with endometrial, cervical, or ovarian cancer. Several MR imaging techniques used in evaluation of patients with gynecologic malignancies are described, including both anatomic MR imaging sequences (T1- and T2-weighted sequences) and pulse sequences that characterize tissue on the basis of physiologic features (diffusion-weighted MR imaging), dynamic contrast agent-enhanced MR imaging, and MR spectroscopy. MR imaging findings corresponding to the 2009 revised International Federation of Gynecology and Obstetrics staging of gynecologic malignancies are also described in detail, highlighting possible pearls and pitfalls of staging. With the growing role of the radiologist as a core member of the multidisciplinary treatment planning team, it is crucial for imagers to recognize that MR imaging has become central in tailoring treatment options and therapy in patients with gynecologic malignancies.

Endometriosis is a common gynaecological condition of unknown aetiology that primarily affects women of reproductive age. The accepted first-line imaging modality is pelvic ultrasound. However, magnetic resonance imaging (MRI) is increasingly performed as an additional investigation in complex cases and for surgical planning. There is currently no international consensus regarding patient preparation, MRI protocols or reporting criteria. Our aim was to develop clinical guidelines for MRI evaluation of pelvic endometriosis based on literature evidence and consensus expert opinion. This work was performed by a group of radiologists from the European Society of Urogenital Radiology (ESUR), experts in gynaecological imaging and a gynaecologist expert in methodology. The group discussed indications for MRI, technical requirements, patient preparation, MRI protocols and criteria for the diagnosis of pelvic endometriosis on MRI. The expert panel proposed a final recommendation for each criterion using Oxford Centre for Evidence Based Medicine (OCEBM) 2011 levels of evidence. Key Points • This report provides guidelines for MRI in endometriosis. • Minimal and optimal MRI acquisition protocols are provided. • Recommendations are proposed for patient preparation, best MRI sequences and reporting criteria.