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Recent Advances in Radiodiagnosis & Imaging - MD/MS Exam 2026
This is a structured review of the highest-yield topics for postgraduate radiology and allied specialty exams. Topics are organized by modality with exam-relevant points highlighted.
1. Photon-Counting Detector CT (PCD-CT) - The Most Testable Advance
Principle: Traditional CT uses energy-integrating detectors that sum all photon energies. Photon-counting detectors (cadmium telluride or cadmium zinc telluride semiconductors) count each individual photon and record its energy level simultaneously.
Advantages over conventional CT:
- Higher spatial resolution (down to 0.2 mm isotropic) - superior bone, vessel wall, and stent imaging
- Simultaneous multi-energy (spectral) data acquisition in a single scan
- Reduced electronic noise - improved low-contrast detectability
- Lower radiation dose via virtual monoenergetic images and noise reduction
- Reduced beam-hardening and metal artifacts
- Enables K-edge imaging for novel contrast agents (e.g., gold, bismuth, gadolinium nanoparticles)
Clinical applications (high-yield):
- Cardiovascular: Coronary artery disease - simultaneous first-pass perfusion + late iodine enhancement in one scan; better stent lumen visualization; myocardial infarction characterization (overcoming the low soft-tissue contrast limitation of conventional CT) - Grainger & Allison's, p. 3805
- Neuro: Intracranial vessel wall imaging, hemorrhage characterization, improved bone-brain interface
- MSK/Rheumatology: Crystal deposition diseases (gout - urate crystal mapping), bone marrow imaging previously reserved for MRI - Firestein & Kelley's Rheumatology, p. 1131
- Abdominal: Adrenal adenoma characterization, pancreatic lesions, liver lesion perfusion
- Chest: Pulmonary embolism, lung nodule characterization
Exam point: PCD-CT is the most modern form of spectral CT. The hierarchy is: Dual-source CT → Dual-layer CT → Rapid kV switching → Photon-counting CT (most advanced). Recent
PubMed reviews, 2025 confirm PCD-CT is entering routine clinical use across abdominal, neuro, cardiothoracic, and musculoskeletal applications. [PMID: 40424349]
2. Dual-Energy CT (DECT) / Spectral CT
Principle: Acquiring data at two different X-ray energies allows material decomposition based on photoelectric and Compton scatter differences.
Key applications:
- Gout: Urate crystal mapping (green color coding) - sensitivity ~78-90%, highly specific
- Pulmonary embolism: Iodine maps showing perfusion defects
- Renal: Virtual non-contrast images; uric acid vs. calcium stone differentiation (avoids additional contrast series)
- Liver: Iodine quantification for tumor vascularity; hepatic steatosis grading
- Adrenal: Lipid-poor adenoma vs. metastasis - sensitivity 96% for adenomas on iodine maps - Grainger & Allison's
- Oncology: Tumor iodine uptake as surrogate for viability post-treatment
- Metal artifact reduction: Virtual monoenergetic images at high keV reduce prosthesis artifacts
3. Artificial Intelligence and Deep Learning in Radiology
This is the broadest and most exam-relevant category.
3a. AI CAD (Computer-Aided Detection/Diagnosis)
- Lung nodule detection on CT: FDA-cleared systems (e.g., Veye Lung Nodules, Sievert AI) match or exceed radiologist performance
- Mammography: AI triage tools reduce false positive recall rates; now used as independent "second reader" in several European screening programs
- Chest X-ray: Deep learning identifies pneumothorax, cardiomegaly, effusion, consolidation with AUC 0.97+
- Retinal fundus photography: Detection of diabetic retinopathy, glaucoma, AMD
3b. Stroke Imaging AI [PMID: 40197098 - Systematic Review, Radiology 2025]
- Automated ASPECTS scoring from non-contrast CT
- AI perfusion analysis (CT/MRI) - automated core infarct / penumbra mismatch
- LVO (large vessel occlusion) detection on CT angiography - reduces door-to-puncture time
- AI-driven thrombectomy candidacy decision support
3c. Radiology Foundation Models / Large Language Models
- GPT-4 Vision, Med-PaLM 2, and domain-specific models (RadFM, CheXagent) now handle multi-image radiology QA
- Automated structured report generation from imaging data
- Multimodal AI - integrating imaging + EHR + genomics - scoping review, Med Image Anal 2025 [PMID: 40482561]
3d. Radiogenomics
- Linking imaging features to genomic/molecular subtypes (e.g., EGFR mutation prediction from CT texture in NSCLC)
- Prostate cancer: Radiogenomics + AI integrating PI-RADS with genomic biomarkers [PMID: 41374949]
- MSK oncology: Integrating radiomics + genomics for sarcoma characterization [PMID: 40506947]
4. Radiomics and Texture Analysis
Definition: Extraction of large numbers of quantitative features from medical images beyond simple visual assessment (intensity histogram, shape, texture, wavelet features - up to thousands per image).
Pipeline: Image acquisition → Segmentation → Feature extraction → Feature selection → Model building → Validation
Applications:
- Lung cancer: Predicting immunotherapy response from CT texture [PMID: 40755255 - Meta-analysis 2025]
- Prostate MRI: Quantitative PI-RADS augmentation; ADC histogram analysis [PMID: 39356481]
- Glioma grading, IDH mutation status prediction from MRI
- Hepatocellular carcinoma: Predicting microvascular invasion pre-operatively
- Breast cancer: Predicting pathological complete response to neoadjuvant chemotherapy
Exam caveat: Radiomics faces reproducibility challenges - features vary with scanner, reconstruction kernel, and segmentation. Standardization efforts (IBSI - Image Biomarker Standardization Initiative) are ongoing.
5. Theranostics in Nuclear Medicine [PMID: 41006727]
Concept: Same molecular target used for both imaging (diagnosis) and therapy ("see what you treat, treat what you see").
PSMA Theranostics (Prostate Cancer - Most Clinically Impactful)
- Diagnosis: ⁶⁸Ga-PSMA-11 PET/CT - superior sensitivity vs. conventional imaging for biochemical recurrence (detects disease at PSA < 0.5 ng/mL)
- Therapy: [¹⁷⁷Lu]Lu-PSMA-617 (Lutetium-177 PSMA) - VISION trial showed significant improvement in OS in mCRPC
- Next generation: [²²⁵Ac]Ac-PSMA targeted alpha therapy for PSMA-expressing mCRPC [PMID: 40872606]
- PSMA-RADS structured reporting system now standardized [PMID: 39702798]
SSTR (Somatostatin Receptor) Theranostics
- ⁶⁸Ga-DOTATATE PET/CT: Standard for neuroendocrine tumors (NETs) - replaces OctreoScan
- [¹⁷⁷Lu]Lu-DOTATATE (Lutathera): FDA-approved for SSTR-positive gastroenteropancreatic NETs
- Meningiomas: EANM/EANO joint guidelines (2024) for SSTR-based theranostics [PMID: 38898354]
Emerging Targets
- FAPI (Fibroblast Activation Protein Inhibitor): ⁶⁸Ga-FAPI PET - pan-tumor imaging, high tumor-to-background ratio; potential for FAPI-targeted therapy
- HER2, CAIX, FAP targeted theranostics in trials
6. Advanced MRI Techniques
Quantitative MRI
- T1 mapping / T1rho: Liver fibrosis, myocardial fibrosis without contrast
- T2 mapping: Cartilage integrity, myocardial inflammation
- T2 mapping:* Iron overload quantification (liver, heart, brain)
- Quantitative MRI breast [PMID: 41161796]: IVIM (intravoxel incoherent motion), MR spectroscopy, DCE parametric maps for lesion characterization beyond standard DCE-MRI
Diffusion Imaging Advances
- DWI/ADC: Standard for hepatic lesions, prostate (PI-RADS), rectal cancer, lymphoma
- DTI (Diffusion Tensor Imaging): White matter tractography; evolving role in surgical planning, TBI evaluation
- IVIM modeling: Separates perfusion from diffusion components without contrast
- DKI (Diffusion Kurtosis Imaging): Captures non-Gaussian water diffusion; superior to ADC for tumor grading
- VERDICT (Vascular, Extracellular, Restricted Diffusion for Cytometry in Tumors): Prostate cancer cell size estimation
Functional MRI (fMRI)
- Task-based fMRI: Pre-surgical mapping of eloquent cortex (motor, speech, visual)
- Resting-state fMRI: Functional connectivity; default mode network analysis in psychiatric disorders
- Ultra-high field 7T MRI: Submillimeter cortical layer imaging; hippocampal subfield mapping in epilepsy
Advanced MS Imaging [PMID: 40424444]
- Myelin water fraction (MWF) imaging
- Central vein sign on susceptibility-weighted imaging (SWI) - differentiates MS from MS-mimics
- Paramagnetic rim lesions (PRL): Iron-rimmed lesions on QSM (quantitative susceptibility mapping) - marker of chronic active MS lesions
- Ultra-high field 7T: Identifies cortical lesions missed at 1.5/3T
7. Multiparametric Ultrasound (mpUS)
Components: B-mode + Doppler + Elastography + CEUS (Contrast-Enhanced Ultrasound)
Elastography
- Strain elastography: Operator-dependent; qualitative/semi-quantitative; color maps
- Shear wave elastography (SWE): Quantitative; liver fibrosis staging (replacing liver biopsy in many centers); thyroid nodule characterization; breast lesion assessment
- Point SWE vs. 2D SWE - 2D gives spatial map, less operator-dependent
CEUS (Contrast-Enhanced Ultrasound)
- Agent: SonoVue (sulfur hexafluoride microbubbles) - purely intravascular, no renal clearance
- LI-RADS v2023: CEUS criteria for HCC characterization - arterial phase hyperenhancement (APHE) + washout
- Splenic CEUS for accessory spleen, lymphoma, splenic infarct [PMID: 39417855]
- Scrotal CEUS for testicular torsion vs. tumor [PMID: 40249502]
- Bladder CEUS for bladder lesion characterization [PMID: 39325210]
- Bowel ultrasound + CEUS: Crohn's disease activity assessment [PMID: 41635930, 2026]
- Brain ultrasound advances: Transcranial US, intraoperative US with SonoVue [PMID: 39305556]
8. Interventional Radiology Advances
Interventional Oncology
- TACE (Trans-arterial chemoembolization): Drug-eluting beads (DEB-TACE) now standard; combined with checkpoint inhibitors (atezolizumab + bevacizumab) for HCC [PMID: 40264767]
- TARE/SIRT (radioembolization): ⁹⁰Y microspheres - radiation segmentectomy concept - ablative doses to one or two segments achieving results comparable to surgical resection in HCC [PMID: 40626876]
- Thermal ablation: Microwave ablation (MWA) now preferred over RFA for liver tumors >3 cm - faster, less heat-sink effect, no grounding pad burns
- Irreversible electroporation (IRE/NanoKnife): Non-thermal; preserves vessels and bile ducts; for tumors near critical structures (porta hepatis, pancreatic head)
- Cryoablation: Renaissance in renal, lung, and bone metastases; visually monitored ice ball; reduced post-ablation syndrome
- Interventional neuro-oncology [PMID: 40380871]: Laser interstitial thermal therapy (LITT), MRI-guided focused ultrasound, convection-enhanced delivery
Portal Hypertension
- TIPS (Transjugular Intrahepatic Portosystemic Shunt): PTFE-covered stents (Viatorr) now standard; early TIPS (within 72h) in high-risk variceal bleeders (Child B active bleeding, Child C<14) - HINT trial data
Stroke Intervention
- Mechanical thrombectomy with next-generation stent retrievers + aspiration (SAVE technique); extended time window (up to 24h with perfusion imaging selection)
9. Portable and Point-of-Care Imaging
- Portable CT [PMID: 40711856]: Bedside CT (NeuroLogica OmniTom, Samsung) for ICU/ER patients; neurocritical care monitoring; intracranial hemorrhage surveillance
- Point-of-care ultrasound (POCUS): FAST exam, lung ultrasound (B-lines for pulmonary edema, A-lines for pneumothorax), cardiac POCUS - now part of emergency medicine and critical care core competencies
- Handheld ultrasound devices (Butterfly iQ+, Vscan Air): AI-guided automated cardiac views; remote telemedicine deployment
10. Structured Reporting and RADS Systems (Exam Favourite)
| System | Modality | Target |
|---|
| PI-RADS v2.1 | mpMRI | Prostate cancer |
| BI-RADS | Mammography/US/MRI | Breast lesions |
| LI-RADS v2023 | CT/MRI/CEUS | Liver lesions (cirrhosis) |
| Lung-RADS v2022 | LDCT | Lung nodule screening |
| NI-RADS | CT/MRI | Post-treatment head & neck |
| TI-RADS (ACR) | US | Thyroid nodules |
| PSMA-RADS | PET/CT | Prostate PSMA imaging |
| O-RADS | US/MRI | Ovarian lesions |
Exam note: Each RADS system has a 5-category (1-5) scoring system where 1 = benign and 5 = highly suspicious; management recommendations are standardized per category.
11. Adrenal Imaging Advances [PMID: 41265468 - Lancet Diabetes & Endocrinol 2026]
- CT washout protocol: 15-min delayed phase - absolute washout >60% = adenoma; relative washout >40% = adenoma
- DECT: Material decomposition distinguishing lipid-rich vs. lipid-poor adenoma from metastasis without delayed phase (sensitivity 96%)
- ¹⁸F-FDG PET/CT: SUV > 1.8x liver suggests malignancy
- Functional adrenal imaging: ¹²³I-mIBG for pheochromocytoma; ⁶⁸Ga-DOTATATE for adrenal paraganglioma
- Radiomics-based adrenal characterization is the current frontier
12. Lung Cancer Screening (LDCT)
- USPSTF 2021 criteria: 50-80 years, 20 pack-year history, current smoker or quit within 15 years
- Lung-RADS v2022: Category 4X added (with additional features increasing suspicion)
- AI-assisted nodule detection reduces false negatives in screening programs
- Volume doubling time (VDT) preferred over diameter for follow-up
- Subsolid nodules (GGO, part-solid): separate management algorithm; part-solid nodules with >6mm solid component highest malignancy risk
Quick Revision: Key 2024-2026 "New" Facts for Vivas
| Topic | Key Point |
|---|
| PCD-CT | Counts individual photons; K-edge imaging; >0.2mm spatial resolution |
| ⁶⁸Ga-PSMA PET | Detects recurrence at PSA < 0.5 ng/mL; superior to choline PET |
| [¹⁷⁷Lu]PSMA-617 | VISION trial - improved OS in mCRPC; FDA approved 2022 |
| ⁶⁸Ga-FAPI PET | High tumor-to-background; images CAFs (cancer-associated fibroblasts) |
| Radiation segmentectomy | ⁹⁰Y TARE with ablative intent; ~400-600 Gy to target segment |
| Central vein sign | SWI - perivenular demyelination; distinguishes MS from mimics |
| QSM | Quantitative susceptibility mapping; paramagnetic rim lesions in MS |
| LI-RADS | Applies to cirrhotic/at-risk livers only; HCC diagnosis without biopsy if LR-5 |
| IVIM | Diffusion + perfusion from DWI; no contrast needed |
| AI in stroke | Automated ASPECTS + LVO detection; reduces onset-to-puncture time |
References (PubMed):
- AI in stroke imaging: [Radiology 2025, PMID: 40197098]
- Photon-counting CT clinical results update: [Eur J Radiol 2025, PMID: 40516505]
- PCD-CT technology & dose reduction: [Br J Radiol 2025, PMID: 40424349]
- Theranostics in nuclear medicine: [Med Oncol 2025, PMID: 41006727]
- PSMA-RADS: [Abdom Radiol 2025, PMID: 39702798]
- Adrenal tumor imaging (Lancet D&E 2026): [PMID: 41265468]
- Advanced MRI in MS: [J Magn Reson Imaging 2025, PMID: 40424444]
- Multiparametric US intestinal: [Expert Rev Gastroenterol 2026, PMID: 41635930]
- Cardiothoracic CT future applications: [Radiology 2025, PMID: 40492912]
- Portable CT clinical applications: [Br J Radiol 2025, PMID: 40711856]
Exam Strategy: For MD/MS 2026 exams, the five areas most likely to appear as long answers or viva topics are: (1) Photon-counting CT, (2) AI/deep learning in radiology, (3) PSMA theranostics, (4) mpMRI prostate (PI-RADS), and (5) DECT applications. Interventional oncology (TACE, TARE, ablation) is commonly asked in surgical and hepatology exit exams. Structured RADS systems are perennial short-answer favourites.